diff --git a/doc/.ipynb_checkpoints/Makefile-checkpoint b/doc/.ipynb_checkpoints/Makefile-checkpoint
new file mode 100644
index 0000000..d0c3cbf
--- /dev/null
+++ b/doc/.ipynb_checkpoints/Makefile-checkpoint
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = source
+BUILDDIR      = build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/doc/.ipynb_checkpoints/make-checkpoint.bat b/doc/.ipynb_checkpoints/make-checkpoint.bat
new file mode 100644
index 0000000..6247f7e
--- /dev/null
+++ b/doc/.ipynb_checkpoints/make-checkpoint.bat
@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=source
+set BUILDDIR=build
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.http://sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd
diff --git a/doc/build/doctrees/.ipynb_checkpoints/index-checkpoint.doctree b/doc/build/doctrees/.ipynb_checkpoints/index-checkpoint.doctree
new file mode 100644
index 0000000..799491f
Binary files /dev/null and b/doc/build/doctrees/.ipynb_checkpoints/index-checkpoint.doctree differ
diff --git a/doc/build/doctrees/G2Gtutorial.doctree b/doc/build/doctrees/G2Gtutorial.doctree
deleted file mode 100644
index 9dc4180..0000000
Binary files a/doc/build/doctrees/G2Gtutorial.doctree and /dev/null differ
diff --git a/doc/build/doctrees/environment.pickle b/doc/build/doctrees/environment.pickle
index abd2614..4090d48 100644
Binary files a/doc/build/doctrees/environment.pickle and b/doc/build/doctrees/environment.pickle differ
diff --git a/doc/build/doctrees/index.doctree b/doc/build/doctrees/index.doctree
index 6da29c5..9cd00fa 100644
Binary files a/doc/build/doctrees/index.doctree and b/doc/build/doctrees/index.doctree differ
diff --git a/doc/build/doctrees/notebooks/G2G_Tutorial.doctree b/doc/build/doctrees/notebooks/G2G_Tutorial.doctree
deleted file mode 100644
index f79aa55..0000000
Binary files a/doc/build/doctrees/notebooks/G2G_Tutorial.doctree and /dev/null differ
diff --git a/doc/build/html/.buildinfo b/doc/build/html/.buildinfo
index 9bb5531..ba68229 100644
--- a/doc/build/html/.buildinfo
+++ b/doc/build/html/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 6e59a27ad7a662760f493dfdc52ce191
+config: 2d92bab5530a9992afd79242fd06b61f
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/doc/build/html/.ipynb_checkpoints/index-checkpoint.html b/doc/build/html/.ipynb_checkpoints/index-checkpoint.html
index c28c032..a5a5e47 100644
--- a/doc/build/html/.ipynb_checkpoints/index-checkpoint.html
+++ b/doc/build/html/.ipynb_checkpoints/index-checkpoint.html
@@ -4,24 +4,23 @@
   <meta charset="utf-8" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Genes2Genes &mdash; Genes2Genes v1.0 documentation</title>
-      <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
-      <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
-      <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
+  <title>Genes2Genes &mdash; Genes2Genes v0.2.0 documentation</title>
+      <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=80d5e7a1" />
+      <link rel="stylesheet" type="text/css" href="../_static/css/theme.css?v=19f00094" />
 
   
   <!--[if lt IE 9]>
-    <script src="_static/js/html5shiv.min.js"></script>
+    <script src="../_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
-        <script src="_static/jquery.js?v=5d32c60e"></script>
-        <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=99a04888"></script>
-        <script src="_static/doctools.js?v=888ff710"></script>
-        <script src="_static/sphinx_highlight.js?v=4825356b"></script>
-    <script src="_static/js/theme.js"></script>
-    <link rel="index" title="Index" href="genindex.html" />
-    <link rel="search" title="Search" href="search.html" /> 
+        <script src="../_static/jquery.js?v=5d32c60e"></script>
+        <script src="../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
+        <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js?v=101dc097"></script>
+        <script src="../_static/doctools.js?v=888ff710"></script>
+        <script src="../_static/sphinx_highlight.js?v=4825356b"></script>
+    <script src="../_static/js/theme.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" /> 
 </head>
 
 <body class="wy-body-for-nav"> 
@@ -32,19 +31,19 @@
 
           
           
-          <a href="#" class="icon icon-home">
+          <a href="../index.html" class="icon icon-home">
             Genes2Genes
           </a>
 <div role="search">
-  <form id="rtd-search-form" class="wy-form" action="search.html" method="get">
+  <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
     <input type="text" name="q" placeholder="Search docs" aria-label="Search docs" />
     <input type="hidden" name="check_keywords" value="yes" />
     <input type="hidden" name="area" value="default" />
   </form>
 </div>
         </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
-              <ul class="current">
-<li class="toctree-l1 current"><a class="current reference internal" href="#">Genes2Genes</a></li>
+              <ul>
+<li class="toctree-l1"><a class="reference internal" href="../index.html">Genes2Genes</a></li>
 </ul>
 
         </div>
@@ -53,17 +52,17 @@
 
     <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
           <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
-          <a href="#">Genes2Genes</a>
+          <a href="../index.html">Genes2Genes</a>
       </nav>
 
       <div class="wy-nav-content">
         <div class="rst-content">
           <div role="navigation" aria-label="Page navigation">
   <ul class="wy-breadcrumbs">
-      <li><a href="#" class="icon icon-home" aria-label="Home"></a></li>
+      <li><a href="../index.html" class="icon icon-home" aria-label="Home"></a></li>
       <li class="breadcrumb-item active">Genes2Genes</li>
       <li class="wy-breadcrumbs-aside">
-            <a href="_sources/index.rst.txt" rel="nofollow"> View page source</a>
+            <a href="../_sources/.ipynb_checkpoints/index-checkpoint.rst.txt" rel="nofollow"> View page source</a>
       </li>
   </ul>
   <hr/>
@@ -86,6 +85,7 @@ <h1><a class="toc-backref" href="#id1" role="doc-backlink">Genes2Genes</a><a cla
 </li>
 <li><p><a class="reference internal" href="#getting-started" id="id5">Getting started</a></p></li>
 <li><p><a class="reference internal" href="#citing-genes2genes" id="id6">Citing Genes2Genes</a></p></li>
+<li><p><a class="reference internal" href="#funding-acknowledgement" id="id7">Funding Acknowledgement</a></p></li>
 </ul>
 </nav>
 <p>Genes2Genes (G2G) is a new Python framework for aligning single-cell pseudotime trajectories of gene expression between any reference and query for a pairwise comparison such as:</p>
@@ -99,14 +99,14 @@ <h1><a class="toc-backref" href="#id1" role="doc-backlink">Genes2Genes</a><a cla
 <section id="trajectory-alignment-what-why">
 <h2><a class="toc-backref" href="#id2" role="doc-backlink">Trajectory alignment: What &amp; Why?</a><a class="headerlink" href="#trajectory-alignment-what-why" title="Permalink to this heading"></a></h2>
 <p>A single-cell trajectory describes the transcriptomic state of cells along some axis of progression (such as time), due to undergoing some dynamic process (e.g. cell differentiation, treatment response, or disease infection). Given an scRNA-seq profile, there are various tools available today to infer such trajectory by estimating a pseudo ordering of the cells along an axis, commonly referred to as ‘pseudotime’. The pseudotime axis of a trajectory can be descritized to represent it as a sequence of discrete time points. Given two such discrete pseudotime sequences of two trajectories, a pairwise alignment between them defines a non-linear mapping between their time points. This mapping could have 1-to-1  matches as well as 1-to-many/many-to-1 matches (a.k.a warps) between the time points, while unmapping the time points which have significantly different transcriptomic states. Below is an example visualization of two cell differentiation trajectories.</p>
-<a class="reference internal image-reference" href="_images/DocFigs1.png"><img alt="What is trajectory alignment?" class="align-center" src="_images/DocFigs1.png" style="width: 600px;" /></a>
+<a class="reference internal image-reference" href=".ipynb_checkpoints/images/DocFigs1.png"><img alt="What is trajectory alignment?" class="align-center" src=".ipynb_checkpoints/images/DocFigs1.png" style="width: 600px;" /></a>
 <p>For two trajectories representing single lineages as above, G2G generates an <strong>optimal pairwise trajectory alignment</strong> that captures the matches and mismatches between their time points in sequential order, allowing a user to quantify the degree of similarity between them.</p>
-<a class="reference internal image-reference" href="_images/DocFigs1-1.png"><img alt="Example mapping" class="align-center" src="_images/DocFigs1-1.png" style="width: 600px;" /></a>
+<a class="reference internal image-reference" href=".ipynb_checkpoints/images/DocFigs1-1.png"><img alt="Example mapping" class="align-center" src=".ipynb_checkpoints/images/DocFigs1-1.png" style="width: 600px;" /></a>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
 <p>G2G defines 5 different states of alignment between any two <strong>R</strong> and <strong>Q</strong> time points, corresponding to all possible match and mismatch states. They are: 1-to-1 match (<code class="docutils literal notranslate"><span class="pre">M</span></code>), 1-to-many match (<code class="docutils literal notranslate"><span class="pre">V</span></code>), many-to-1 match (<code class="docutils literal notranslate"><span class="pre">W</span></code>), insertion (<code class="docutils literal notranslate"><span class="pre">I</span></code>) and deletion (<code class="docutils literal notranslate"><span class="pre">D</span></code>). Here, <code class="docutils literal notranslate"><span class="pre">I</span></code> or <code class="docutils literal notranslate"><span class="pre">D</span></code> refer to a mismatched time point in Q or R, respectively. These states jointly cover the alignment states defined in classical dynamic time warping and biological sequence alignment.</p>
-<a class="reference internal image-reference" href="_images/DocFigs1-3.png"><img alt="5 states of alignment" class="align-center" src="_images/DocFigs1-3.png" style="width: 600px;" /></a>
+<a class="reference internal image-reference" href=".ipynb_checkpoints/images/DocFigs1-3.png"><img alt="5 states of alignment" class="align-center" src=".ipynb_checkpoints/images/DocFigs1-3.png" style="width: 600px;" /></a>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
@@ -120,7 +120,7 @@ <h2><a class="toc-backref" href="#id2" role="doc-backlink">Trajectory alignment:
 <h2><a class="toc-backref" href="#id3" role="doc-backlink">Outputs from Genes2Genes</a><a class="headerlink" href="#outputs-from-genes2genes" title="Permalink to this heading"></a></h2>
 <p>Given an scRNA-seq dataset with their pseudotime estimates and a specified set of genes (e.g. all transcription factors, highly variable genes, biological/signaling pathway genes), G2G generates fully-descriptive alignments for each gene (i.e. <strong>gene-level alignment</strong>), as well as an average (aggregate) alignment (i.e. <strong>cell-level alignment</strong>) across all genes.</p>
 <p>Below is an example gene-level alignment of the gene <em>JUNB</em> in T cell differentiation between a pan-fetal reference and an artificial thymic organoid system:</p>
-<a class="reference internal image-reference" href="_images/DocFigs2.png"><img alt="Example gene-level alignment?" class="align-center" src="_images/DocFigs2.png" style="width: 600px;" /></a>
+<a class="reference internal image-reference" href=".ipynb_checkpoints/images/DocFigs2.png"><img alt="Example gene-level alignment?" class="align-center" src=".ipynb_checkpoints/images/DocFigs2.png" style="width: 600px;" /></a>
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
@@ -160,12 +160,17 @@ <h1><a class="toc-backref" href="#id5" role="doc-backlink">Getting started</a><a
 </ul>
 <p>The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as <a class="reference external" href="https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html">Diffusion pseudotime</a>, <a class="reference external" href="https://github.com/dpeerlab/Palantir">Palantir</a>,  <a class="reference external" href="https://pyro.ai/examples/gplvm.html">GPLVM</a>,  <a class="reference external" href="http://cole-trapnell-lab.github.io/monocle-release/">Monocle</a> etc.).
 For better visualisation and interpretation of the alignment results, we recommend the data to be annotated with their cell types (manually and/or using an automatic annotation tool such as <a class="reference external" href="https://www.celltypist.org">CellTypist</a>).</p>
-<p>Please refer to our <a class="reference internal" href="G2Gtutorial.html"><span class="doc">Tutorial</span></a> for an example analysis between a reference and query dataset from literature.</p>
+<p>Please refer to our <a class="reference external" href="https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb">Tutorial</a> for an example analysis between a reference and query dataset from literature.</p>
 </section>
 <section id="citing-genes2genes">
 <h1><a class="toc-backref" href="#id6" role="doc-backlink">Citing Genes2Genes</a><a class="headerlink" href="#citing-genes2genes" title="Permalink to this heading"></a></h1>
 <p>Our manuscript is currently available as a <a class="reference external" href="https://doi.org/10.1101/2023.03.08.531713">preprint</a> at bioRxiv:</p>
-<p><em>Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.</em> <strong>Gene-level alignment of single cell trajectories informs the progression of in vitro T cell differentiation</strong>. <em>bioRxiv, pp.2023-03.</em></p>
+<p><em>Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.</em> <strong>Gene-level alignment of single cell trajectories</strong>. <em>bioRxiv, pp.2023-03.</em></p>
+<p>This publication is part of the <a class="reference external" href="https://www.humancellatlas.org">Human Cell Atlas</a></p>
+</section>
+<section id="funding-acknowledgement">
+<h1><a class="toc-backref" href="#id7" role="doc-backlink">Funding Acknowledgement</a><a class="headerlink" href="#funding-acknowledgement" title="Permalink to this heading"></a></h1>
+<p>Marie Skłodowska-Curie grant agreement No: 101026506 (Marie Curie Individual Fellowship) under the European Union’s Horizon 2020 research and innovation programme; Wellcome Trust Ph.D. Fellowship for Clinicians; Wellcome Trust (WT206194); ERC Consolidator Grant (646794); Wellcome Sanger Institute’s Translation Committee Fund.</p>
 <div class="toctree-wrapper compound">
 </div>
 </section>
diff --git a/doc/build/html/G2Gtutorial.html b/doc/build/html/G2Gtutorial.html
deleted file mode 100644
index ec1b4f0..0000000
--- a/doc/build/html/G2Gtutorial.html
+++ /dev/null
@@ -1,107 +0,0 @@
-<!DOCTYPE html>
-<html class="writer-html5" lang="en">
-<head>
-  <meta charset="utf-8" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
-
-  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Tutorial &mdash; Genes2Genes v1.0 documentation</title>
-      <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
-      <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
-      <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
-
-  
-  <!--[if lt IE 9]>
-    <script src="_static/js/html5shiv.min.js"></script>
-  <![endif]-->
-  
-        <script src="_static/jquery.js?v=5d32c60e"></script>
-        <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=99a04888"></script>
-        <script src="_static/doctools.js?v=888ff710"></script>
-        <script src="_static/sphinx_highlight.js?v=4825356b"></script>
-    <script src="_static/js/theme.js"></script>
-    <link rel="index" title="Index" href="genindex.html" />
-    <link rel="search" title="Search" href="search.html" /> 
-</head>
-
-<body class="wy-body-for-nav"> 
-  <div class="wy-grid-for-nav">
-    <nav data-toggle="wy-nav-shift" class="wy-nav-side">
-      <div class="wy-side-scroll">
-        <div class="wy-side-nav-search" >
-
-          
-          
-          <a href="index.html" class="icon icon-home">
-            Genes2Genes
-          </a>
-<div role="search">
-  <form id="rtd-search-form" class="wy-form" action="search.html" method="get">
-    <input type="text" name="q" placeholder="Search docs" aria-label="Search docs" />
-    <input type="hidden" name="check_keywords" value="yes" />
-    <input type="hidden" name="area" value="default" />
-  </form>
-</div>
-        </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
-              <ul>
-<li class="toctree-l1"><a class="reference internal" href="index.html">Genes2Genes</a></li>
-</ul>
-
-        </div>
-      </div>
-    </nav>
-
-    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
-          <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
-          <a href="index.html">Genes2Genes</a>
-      </nav>
-
-      <div class="wy-nav-content">
-        <div class="rst-content">
-          <div role="navigation" aria-label="Page navigation">
-  <ul class="wy-breadcrumbs">
-      <li><a href="index.html" class="icon icon-home" aria-label="Home"></a></li>
-      <li class="breadcrumb-item active">Tutorial</li>
-      <li class="wy-breadcrumbs-aside">
-            <a href="_sources/G2Gtutorial.rst.txt" rel="nofollow"> View page source</a>
-      </li>
-  </ul>
-  <hr/>
-</div>
-          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
-           <div itemprop="articleBody">
-             
-  <section id="tutorial">
-<span id="g2gtutorial"></span><h1>Tutorial<a class="headerlink" href="#tutorial" title="Permalink to this heading"></a></h1>
-<p>Load the reference and query datasets:</p>
-</section>
-
-
-           </div>
-          </div>
-          <footer>
-
-  <hr/>
-
-  <div role="contentinfo">
-    <p>&#169; Copyright 2023, Dinithi Sumanaweera, Teichmann Lab.</p>
-  </div>
-
-  Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
-    <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
-    provided by <a href="https://readthedocs.org">Read the Docs</a>.
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-  </div>
-  <script>
-      jQuery(function () {
-          SphinxRtdTheme.Navigation.enable(true);
-      });
-  </script> 
-
-</body>
-</html>
\ No newline at end of file
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diff --git a/doc/index.rst b/doc/build/html/_sources/.ipynb_checkpoints/index-checkpoint.rst.txt
similarity index 96%
rename from doc/index.rst
rename to doc/build/html/_sources/.ipynb_checkpoints/index-checkpoint.rst.txt
index 27ffa62..d4e3b65 100644
--- a/doc/index.rst
+++ b/doc/build/html/_sources/.ipynb_checkpoints/index-checkpoint.rst.txt
@@ -105,10 +105,10 @@ G2G takes reference and query input data as ``anndata`` objects, where each ``ad
 * log1p normalised gene expression stored at ``adata.X`` 
 * pseudotime estimates of the cells stored as ``adata.obs['time']``
 
-The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as `Diffusion pseudotime <https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html>`_, `CellRank <https://github.com/theislab/cellrank>`_, `Palantir <https://github.com/dpeerlab/Palantir>`_,  `GPLVM <https://pyro.ai/examples/gplvm.html>`_ etc.).
+The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as `Diffusion pseudotime <https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html>`_, `Palantir <https://github.com/dpeerlab/Palantir>`_,  `GPLVM <https://pyro.ai/examples/gplvm.html>`_,  `Monocle <http://cole-trapnell-lab.github.io/monocle-release/>`_ etc.).
 For better visualisation and interpretation of the alignment results, we recommend the data to be annotated with their cell types (manually and/or using an automatic annotation tool such as `CellTypist <https://www.celltypist.org>`_). 
 
-Please refer to our `Tutorial <https://github.com/Teichlab/Genes2Genes/blob/8ab6962acca761e077ff07186b0829f964622f00/notebooks/Tutorial.ipynb>`_ for an example analysis between a reference and query dataset from literature.
+Please refer to our `Tutorial <https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb>`_ for an example analysis between a reference and query dataset from literature.
 
 Citing Genes2Genes
 ===========
diff --git a/doc/build/html/_sources/G2Gtutorial.rst.txt b/doc/build/html/_sources/G2Gtutorial.rst.txt
deleted file mode 100644
index 57facf0..0000000
--- a/doc/build/html/_sources/G2Gtutorial.rst.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-
-.. _G2Gtutorial:
-Tutorial
-=======================================
-
-
-Load the reference and query datasets:
-
-
-
-
diff --git a/doc/build/html/_sources/index.rst.txt b/doc/build/html/_sources/index.rst.txt
index 83b7b91..d4e3b65 100644
--- a/doc/build/html/_sources/index.rst.txt
+++ b/doc/build/html/_sources/index.rst.txt
@@ -108,17 +108,22 @@ G2G takes reference and query input data as ``anndata`` objects, where each ``ad
 The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as `Diffusion pseudotime <https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html>`_, `Palantir <https://github.com/dpeerlab/Palantir>`_,  `GPLVM <https://pyro.ai/examples/gplvm.html>`_,  `Monocle <http://cole-trapnell-lab.github.io/monocle-release/>`_ etc.).
 For better visualisation and interpretation of the alignment results, we recommend the data to be annotated with their cell types (manually and/or using an automatic annotation tool such as `CellTypist <https://www.celltypist.org>`_). 
 
-Please refer to our :doc:`G2Gtutorial` for an example analysis between a reference and query dataset from literature.
+Please refer to our `Tutorial <https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb>`_ for an example analysis between a reference and query dataset from literature.
 
 Citing Genes2Genes
 ===========
 Our manuscript is currently available as a `preprint <https://doi.org/10.1101/2023.03.08.531713>`_ at bioRxiv: 
 
-*Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.* **Gene-level alignment of single cell trajectories informs the progression of in vitro T cell differentiation**. *bioRxiv, pp.2023-03.*
+*Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.* **Gene-level alignment of single cell trajectories**. *bioRxiv, pp.2023-03.*
+
+This publication is part of the `Human Cell Atlas <https://www.humancellatlas.org>`_
+
+Funding Acknowledgement
+===========
+Marie Skłodowska-Curie grant agreement No: 101026506 (Marie Curie Individual Fellowship) under the European Union’s Horizon 2020 research and innovation programme; Wellcome Trust Ph.D. Fellowship for Clinicians; Wellcome Trust (WT206194); ERC Consolidator Grant (646794); Wellcome Sanger Institute’s Translation Committee Fund.
 
 
 .. toctree::
    :hidden:
    
    self
-   ../notebooks/Tutorial
\ No newline at end of file
diff --git a/doc/build/html/_sources/notebooks/G2G_Tutorial.ipynb.txt b/doc/build/html/_sources/notebooks/G2G_Tutorial.ipynb.txt
deleted file mode 100644
index 8319294..0000000
--- a/doc/build/html/_sources/notebooks/G2G_Tutorial.ipynb.txt
+++ /dev/null
@@ -1,1972 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "american-wages",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "logical-coordinate",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(CVXPY) Oct 11 05:41:15 PM: Encountered unexpected exception importing solver GLOP:\n",
-      "RuntimeError('Unrecognized new version of ortools (9.6.2534). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')\n",
-      "(CVXPY) Oct 11 05:41:15 PM: Encountered unexpected exception importing solver PDLP:\n",
-      "RuntimeError('Unrecognized new version of ortools (9.6.2534). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')\n",
-      "3.9.16\n"
-     ]
-    }
-   ],
-   "source": [
-    "import anndata\n",
-    "import numpy as np\n",
-    "import seaborn as sb\n",
-    "import matplotlib.pyplot as plt\n",
-    "import platform\n",
-    "from optbinning import ContinuousOptimalBinning\n",
-    "\n",
-    "import Main\n",
-    "import VisualUtils\n",
-    "import ClusterUtils\n",
-    "import TimeSeriesPreprocessor\n",
-    "import PathwayAnalyserV2\n",
-    "\n",
-    "print(platform.python_version())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "correct-pottery",
-   "metadata": {},
-   "source": [
-    "Load the reference and query anndata objects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "editorial-criterion",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input_dir = 'data/'\n",
-    "adata_ref = anndata.read_h5ad(input_dir + 'adata_pam_local.h5ad') # PAM dataset\n",
-    "adata_query = anndata.read_h5ad(input_dir +'adata_lps_local.h5ad') # LPS dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "perceived-purse",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AnnData object with n_obs × n_vars = 179 × 89\n",
-      "    obs: 'time'\n",
-      "AnnData object with n_obs × n_vars = 290 × 89\n",
-      "    obs: 'time'\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(adata_ref)\n",
-    "print(adata_query)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "split-identification",
-   "metadata": {},
-   "source": [
-    "### Min max normalize the pseudotime"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "accepted-message",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.0 1.0\n",
-      "0.0 1.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# check the current range\n",
-    "print(min(adata_ref.obs['time']), max(adata_ref.obs['time']))\n",
-    "print(min(adata_query.obs['time']), max(adata_query.obs['time']))\n",
-    "\n",
-    "# if it does not follow [0,1] range, run below\n",
-    "adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_ref.obs['time']))\n",
-    "adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_query.obs['time']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "anticipated-advancement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Visualize the pseudotime distributions\n",
-    "sb.kdeplot(adata_ref.obs['time'], fill=True, label='PAM', color='forestgreen') \n",
-    "sb.kdeplot(adata_query.obs['time'], fill=True, label='LPS', color='midnightblue'); \n",
-    "plt.xlabel('pseudotime'); plt.legend(); plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "brave-found",
-   "metadata": {},
-   "source": [
-    "### Check the number of bins in the optimal binning structure using OptBinning package"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "configured-rally",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "14\n",
-      "14\n"
-     ]
-    }
-   ],
-   "source": [
-    "x = np.asarray(adata_ref.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))\n",
-    "\n",
-    "x = np.asarray(adata_query.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sustained-auction",
-   "metadata": {},
-   "source": [
-    "OptBinning estimates 14 optimal number of splits for both reference and query pseudotime distributions. Therefore we choose the same number of interpolation points."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "careful-average",
-   "metadata": {},
-   "source": [
-    "### Visualize the interpolation binning structure in terms of the cell type composition \n",
-    "\n",
-    "For this dataset, we use the author-given time annotations (1h,2h,4h,6h) as the cell-type annotations. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "daily-english",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata_ref.obs['annotation'] = [x.split('_')[1] for x in adata_ref.obs_names] \n",
-    "adata_query.obs['annotation'] = [x.split('_')[1] for x in adata_query.obs_names] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "realistic-performance",
-   "metadata": {},
-   "source": [
-    "Next we define a colormap of our choice for these annotations, and call the below function. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "heavy-safety",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "# trying max n points for optimal binning = 14\n",
-      "====================================================\n",
-      "Optimal equal number of bins for R and Q =  14\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "col = np.array(sb.color_palette('colorblind'))[range(4)]\n",
-    "joint_cmap={'1h':col[0], '2h':col[1] , '4h':col[2] , '6h':col[3]}\n",
-    "vs = VisualUtils.VisualUtils.get_celltype_composition_across_time(adata_ref, adata_query, n_points=14, \n",
-    "                                     ANNOTATION_COLNAME='annotation', optimal_binning=False, ref_cmap=joint_cmap, query_cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "lined-complexity",
-   "metadata": {},
-   "source": [
-    "### Run G2G alignment\n",
-    "\n",
-    "We can now run Gene-level alignment for all 89 genes in the PAM and LPS datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "interesting-finland",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "89\n"
-     ]
-    }
-   ],
-   "source": [
-    "gene_list = adata_ref.var_names \n",
-    "print(len(gene_list))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "normal-colony",
-   "metadata": {},
-   "source": [
-    "This is done by first creating an aligner object, passing and setting all relevant parameters.\n",
-    "Next we align all gene pairs. (This step is parallelizing indepedenent gene-alignments to make the process time-efficient, however the computational time for an individual alignment will increase as the number of cells and/or the number of interpolation time points increase. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "democratic-frequency",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WINDOW_SIZE= 0.1\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "793a80e659c84f4783d1e40a698b6af5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/89 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, len(vs.optimal_bining_S))\n",
-    "aligner.WEIGHT_BY_CELL_DENSITY = True\n",
-    "aligner.WINDOW_SIZE=0.1\n",
-    "aligner.state_params = [0.99,0.1,0.7]\n",
-    "aligner.optimal_binning = True\n",
-    "aligner.opt_binning_S = vs.optimal_bining_S\n",
-    "aligner.opt_binning_T = vs.optimal_bining_T\n",
-    "aligner.align_all_pairs() "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "seasonal-asbestos",
-   "metadata": {},
-   "source": [
-    "Now we can check the aggregate (average) alignment across all genes:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "actual-subject",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMMMIIIDID\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner.get_aggregate_alignment()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "liberal-preview",
-   "metadata": {},
-   "source": [
-    "We can also visualize this alignment in terms of cell-type composition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "timely-characterization",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vs.visualize_gene_alignment(\"IDDDMMMMMMMMMIIIDID\", cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "identified-reminder",
-   "metadata": {},
-   "source": [
-    "We can also visualize an individual gene (e.g. JUNB), displaying its alignment statistics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "wooden-karma",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "Optimal alignment cost: 57.99 nits\n",
-      "Alignment similarity percentage: 21.74 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.show_gene_alignment('TNF', aligner, vs, joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "otherwise-scene",
-   "metadata": {},
-   "source": [
-    "To check only the cell plots of a gene alignment (e.g. SERTAD2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "secret-asbestos",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plotTimeSeries('SERTAD2', aligner, plot_cells=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "talented-words",
-   "metadata": {},
-   "source": [
-    "The below attributes and functions can be used to examine any gene-alignment object"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "after-width",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DDDIDIDIDDDMMMMMIIIIIID\n",
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "GENE = 'TNF'\n",
-    "gene_obj = aligner.results_map[GENE]\n",
-    "\n",
-    "al = gene_obj.alignment_str\n",
-    "print(al)\n",
-    "print(VisualUtils.color_al_str(al)) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "id": "regulated-anthony",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "01234567890123456789012 Alignment index \n",
-      "012 3 4 56789012      3 Reference index\n",
-      "\u001b[91m***\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m***\u001b[0m\u001b[92m*****\u001b[0m------\u001b[91m*\u001b[0m\n",
-      "---\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m---\u001b[92m*****\u001b[0m\u001b[91m******\u001b[0m-\n",
-      "   0 1 2   34567890123  Query index\n",
-      "DDDIDIDIDDDMMMMMIIIIIID 5-state string \n"
-     ]
-    }
-   ],
-   "source": [
-    "print(gene_obj.al_visual)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "utility-inspiration",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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J1KlT8dhjj9V5/PXXX8cnn3zSgBkROTdJknD0P9dQVFhh+c1E5ngJ3Gy0ePFiqFQqzJw5s3ZfeXk5kpKS0LRpUwQEBGDkyJHIz6//s6w1OLckkYuQJAmHdlzFz/++hvRVubhWWG35Q0RO6sCBA/jwww/RpUsXo/2zZs3Ct99+i6+++gq7du3CpUuXMGLECKvjs7gRuYCawnZsz60BVjdLqrFx1Q0WOLKdjC23kpISjB8/Hh9//DEaN749sUJRURFWrFiBt956CwMGDEBcXBxWrlyJ//73v9i7d69V38HiRuQCqqskFJw1nuGkrMTAAke2E1jc9Ho9iouLjbZ7Zo66Q1JSEh577DEkJBhP2JCZmYnKykqj/TExMYiIiEBGRoZVp8fiRuQCvLw98MiEMIS0MH6mkwWOnIFOp4NGozHadDqdyfeuXbsWWVlZJo/n5eXBx8cHwcHBRvtDQ0ORl5dnVU7KfNKhnQNithcfUhNj3T+WJdE+Z4TGA4AoiI/ZCqeExot2QI6OOG+7Y/oCkRMM+PaLEuRfqEI5bj04Xl4CfLmqEo9O1iA4xL5faf9sg305mnJccLxswfEA4KQDYjoiT5EEjpZMSUlBcnKy0b57JtcAcP78ecyYMQPbt2+Hr2/dEx+IwJYbkQtR+3pg6IQAhLYwLmI3Swz416pCXC8U9/A5KZzAbkm1Wo2goCCjzVRxy8zMREFBAbp37w4vLy94eXlh165dePfdd+Hl5YXQ0FBUVFTg+vXrRp/Lz89HWFjYPfHMYXEjcjE1Ba5ZC+MJlVngyNkNHDgQR44cwaFDh2q3Hj16YPz48bX/7e3tjfT09NrPnDhxAufOnUN8fLxV36XMbkkihVP7emDQhGBs++IqCi7cfuatpsA9OjnE7i5KUjgZfjwCAwPvmazD398fTZs2rd3/zDPPIDk5GU2aNEFQUBCmT5+O+Ph49OnTx6rvYsuNyEXdKnBN2IIj23gK3ARaunQpfv/732PkyJF46KGHEBYWhg0bNlgdRyUpcD0N1ToHBOWAEmE4oESM6wgGAOjLDfe04ADAL8DD6hZc36OZIlO8hQNKxNgt+FKdI3C1iWjnKyNsuRG5uLpacBU3Jdy4xtYb1cEJpt9yJKcrbgpsSBI53N0FztNThQFjGuP+No4dbk0ujMWtYanVavz6669yp0HkcmoKXFikDwaMaYyItixs5L5kq7l3P/BXo7q6GosXL0bTpk0BAG+99ZbZOHq9/t5pXirVgPe9z1gQKZ3a1wOPTm7K1bvJMidtcYki2+m9/fbbiI2NvWeaFUmS8Ouvv8Lf379ev6A6nQ7z58833jkyFRg1T1yyRC7E0u9NVaUEL28WP3cnCRzl6Iw/TbIVt9dffx0fffQR/v73vxstSOrt7Y1Vq1ahQ4cO9YpjatoXzSa22ohMyTl2E/u3FmPwU035HBwpmmz33F566SWsW7cOzz//PF544QVUVlbaFMfUtC/skiS6V86xm/jh62soKarmc3CEai9xmzOSdUBJz549kZmZicuXL6NHjx44evQo7xUQOcDF3/T44etrMPxvXmQ+6E0sbg4WEBCA1atXIyUlBQkJCaiu5tIdRKKFNPdGSDhnMiH3IXtxqzF27FgcPHgQGzZsQGRkpNzpECkKp+qiu1V5egjbnJFTNShbtGiBFi1ayJ0GkSLVFDhzky2T+6j2cqrLv3DOWXKJyCEsteAKr8mUGJFgLG5EbsZcgVv1DVjg3ES1p6ewzRmxuBG5oboKXEkZWODcRDU8hW3OSJlL3hwWH1P08jSA+CVqXGF5GkD8EjWusDwNAETpc4TGy1WH2x1DXy7hmy/KkHfh1oCSqv/dhm8U4IHEyYFoHGL/havjtt/sjmHEEUvenHdAzCOC430n9lJdiEBhsUJwQ1gsUdhyI3Jjal8Vhk1ohLAWxoMLykoM2LjqBm6WGWTKjBytCp7CNmfE4kbk5uoqcB17qOHXiJcIpaqGl7DNGfEnl4hqC1zo/wpcz4f90OthP5mzIrKdc5ZcImpwal8Vhk4IwG/HKtGhO+dnVTpnHQgiCosbEdVS+3qwsLkJpRc3dksSUb1dKajCtULO/0rOjy03IqqXKwVV+Gb1DahUKmGPCZB82HIjIrdXU9hulkq1jwmwBefa+CgAEbm9fek3cbP09kPELHDk7JyqW7K0tBTr16/HqVOnoNVqMW7cODRt2tTsZ/R6PfR6vfHOCjXgw5viRKIMHO6Pb78oQf6F20vj1BQ4dlG6Jmd9Pk0UWVtuHTp0wNWrVwEA58+fR6dOnTBr1ixs374dqamp6NChA3JyzE9ZpNPpoNFojDas0DVE+kRuQ+3rgaETAmqfg6vBFpzrUvrckrIWt+PHj6Oq6tZfgikpKQgPD8fZs2exf/9+nD17Fl26dMHcuXPNxkhJSUFRUZHRhmdSGiJ9IrfCAkeuxGnuuWVkZGDevHm3Wl4AAgICMH/+fOzevdvs59RqNYKCgow2dkkSOQYLnHKw5eZgKpUKAFBeXg6tVmt0rHnz5rh8+bIcaRFRHVjglIGjJR1s4MCB6N69O4qLi3HixAmjY2fPnrU4oISIGh4LHDk7WYfLpKamGr0OCAgwev3tt9+iX79+DZkSEdVTTYHjKErXpPTRkk5V3O725ptvNlAmRGQLcwXupz3lGDDMX8bsyBxnvVcmiuzdkkTk2kx1UUa19cZDjzWSMStyd8pulxJRg7izBefXSIXBowPg5aWSOy0yQ+ktNxY3IhJC7euBx58KhIcnWNhcAIubC9LE5AmPGe1zRnjMKIiN2QqnhMYDgGjBOQLiz1t0PACI0pufGccW/tkGofHub3lBaDwAyG/UzL4AJh4xzRmkvXenHaJLc4XGAwD4ig8JjQNiUr0psrgRkfPRl0vYmlaOB3+nRpMQ3u6Xm7M+nyYKixsROZy+XELa5zeRd7Ea+RerMXJyIxY4mSn9UQD+dBGRQ91Z2ACgtETC/60qw9VCsd20RHdicSMih1PdNb6EBU5+nFuSiMgOal8VEif4QdvC+CLIAicvFjciIjuxwFFDY3EjogbBAudcuCoAEZEgLHDOoxpewjZnJGtxy8rKQk7O7YdlP//8c/Tt2xf3338/HnzwQaxdu9ZiDL1ej+LiYqNN0usdmTYR2YEFjhqCrMXt6aefxm+//QYA+OSTT/DHP/4RPXr0wNy5c9GzZ088++yz+PTTT83G0Ol00Gg0Rpv+jX80RPpEZCMWOPkpfUCJrO3J7OxstGnTBgDw/vvv45133sGzzz5be7xnz55YtGgRpkyZUmeMlJQUJCcnG+27X3XNMQkTkTA1BW7jFzeRe+H24qY1BY4PejuWsxYlUWT9yWnUqBEKCwsBABcvXkSvXr2Mjvfu3duo29IUtVqNoKAgo02lNjHBHRE5nbpacN4+Knj7yJQUKYKsxW3IkCFYvnw5AKB///74+uuvjY6vX78erVu3liM1Imogdxe44CYeGDnZD4FBbLU5ktJHS8raLblkyRL07dsX/fv3R48ePfD3v/8dP/zwA9q3b48TJ05g7969SEtLkzNFImoANQXu39/dmliZhc3xnHWUoyiy/gSFh4fjp59+Qnx8PLZs2QJJkrB//35s27YNLVq0wJ49e/Doo4/KmSIRNRC1rwpDRrLFRmLIXrqDg4OxePFiLF68WO5UiMiJSZKEkhuS3GkohtIHlMhe3IiILJEkCenf6pFzsgrh9wEhQXJn5PqUXtzY/icip1ZT2I5mVaK0RMKqfwOFxXJnRc6OxY2InNrBPZU4mlVZ+7qkHCxwAij9IW4WNyJyal16eN/zHBwLnP3kehRg+fLl6NKlS+1zyfHx8fj+++9rj5eXlyMpKQlNmzZFQEAARo4cifz8fKvPTyVJkuLu0HbDXuExo3BGeMxWOCU0XrQDcnTEeYuOGaU3/6C/LfyzHTD903HB8foKjgdAcsD8B1eaBNgdo7xcwldfVCH3ggGGO/4m9w9QYfRkbzS1cyaTsC+K7E3xXtmC480Xe6l+B38UFmsGPqz3e7/99lt4enqiTZs2kCQJq1evxptvvomffvoJHTt2xPPPP4/vvvsOq1atgkajwbRp0+Dh4YE9e/ZYlRNbbkTk9Hx9VRg1wQvaFsaXrNISCetXVeIK56K0mlyrAgwdOhSPPvoo2rRpg7Zt22LRokUICAjA3r17UVRUhBUrVuCtt97CgAEDEBcXh5UrV+K///0v9u61rtHC4kZELoEFTiyR99xMrc6ir8fqLNXV1Vi7di1KS0sRHx+PzMxMVFZWIiEhofY9MTExiIiIQEZGhlXnx+JGRC7D11eFkRO8WeCcjKnVWXQ6XZ3vP3LkCAICAqBWqzF16lSkpaWhQ4cOyMvLg4+PD4KDg43eHxoairy8PKty4nNuRORSagrc/31RidwLt4tZTYETcQ/OHYgc5WhqdRa1mQns27Vrh0OHDqGoqAhff/01Jk2ahF27dgnLB2BxIyIXxAJnP5ETHqvVarPF7G4+Pj61k+LHxcXhwIEDeOeddzBmzBhUVFTg+vXrRq23/Px8hIWFWZVTvf/1X3vtNYsLhxIRNRRzXZRpayphMChuILhiGQwG6PV6xMXFwdvbG+np6bXHTpw4gXPnziE+Pt6qmPVuuc2bNw99+vQxu3AoEVFDMtWC8/YBBg/zhoeHSubsnJtcqwKkpKRgyJAhiIiIwI0bN7BmzRr88MMP2Lp1KzQaDZ555hkkJyejSZMmCAoKwvTp0xEfH48+ffpY9T3sliQil3ZngSssMGDEeB/cH8kuSUvkmlmkoKAAEydORG5uLjQaDbp06YKtW7fid7/7HQBg6dKl8PDwwMiRI6HX6zF48GC8//77Vn+PVcVNr9fj/PnzMPfcd0RERL3jTZ8+HaNHj0a/fv2sSeOenO4ecmpQV8BDzWV8idxFTYG7dkWCtjkLmzNbsWKF2eO+vr5YtmwZli1bZtf3WPVTcOjQIURFRSE6Otrk1rJlS6u+fNmyZXj44YfRtm1bLFmyxOqhnoDpIaj5us+sjkNErs3XV8XCZgXOLXkXSZLMbtbatm0bHn30Ufztb39DREQEhg0bhs2bN8NgqN/zKikpKSgqKjLaQlMmWp0HESnbLz9X8zk4N2JVt2Tz5s3xzDPPCE2gc+fOGDhwIN58802kpaXh008/RWJiIkJDQzF58mQ8/fTTtUNGTTE1BNUD7JIkotsOZ1Vj26ZKYXNRKoGztrhEsaq4tWjRAqmpqQ5JxNvbG6NHj8bo0aNx7tw5fPrpp1i1ahUWL16M6upqh3wnESlfTWED+BzcnUQ+5+aMnPJfNyIiAvPmzUNOTg62bNkidzpE5KIMBglHfzL+45hTdbmHehe3iIgIaLVaoV8eGRkJT8+6/3pQqVS1w0OJiKzl4aHCiPGci9IUuVYFaCj1zurMmTPCvzwnR/w6XEREd6rPVF3WTeykDEq/5+aU3ZJERCJZWk2g8IZMiZHDsLgRkVswV+BW/QduV+D4nBsRkULUVeBK9HC7AlcFT2GbM3LOO4F2isIZ4TFb4ZTwmNGC83TEeTskpl7svVb/bAcMCjguPiSyBcfrKzgeANUe8TFDIkrEBgy3P0TSYOCLr4ELl269ltoANwCsvAxMTgBCmtr/HapP7I9BtmPLjYjcjq8vMOEJoMVdhbKkFFj1JVB4RZ68GpLSR0uyuBGRWzJX4M5dkCenhsR7bkRECmWqwD2aAHSPlS8nEsM525NERA3E1xeYMAr44iugSwegV5zcGTUMZ21xicLiRkRuz9cXePpJwMyESYqj9OLGbkkiIlgubPVchYucBFtuREQWXLgIbPwXMHaEmMcEnIGzPp8mCltuRERmXLgIfL4eKLyqrMcE+CgAEZGbysu/Vdj0Fbdel5QCn60DysvlzYssk724vffee5g4cSLWrl0LAPj888/RoUMHxMTE4OWXX0ZVVZXZz+v1ehQXFxtt1frKhkidiBQuWAPcF2K8r/gGkHNWnnxE4nNuDrRw4UK8/PLLKCsrw6xZs7BkyRLMmjUL48ePx6RJk/DJJ59gwYIFZmPodDpoNBqj7aTumwY6AyJSsprHBIICjfdXmv+b2yUovbjJ2lm6atUqrFq1CiNGjMDPP/+MuLg4rF69GuPHjwcAxMTE4MUXX8T8+fPrjJGSkoLk5GSjfRPULG5EJIavL+Df6FaLjVyHrMXt0qVL6NGjBwAgNjYWHh4e6Nq1a+3x7t2749KlS2ZjqNVqqNVqo32e8BaeKxGRknC0pAOFhYXh2LFjAIDs7GxUV1fXvgaAX375Bc2aNZMrPSIixVL6aElZsxo/fjwmTpyIYcOGIT09HS+++CJeeOEFXLlyBSqVCosWLcITTzwhZ4pEROSCZC1u8+fPh5+fHzIyMvDss8/ipZdeQmxsLF588UWUlZVh6NChFgeUEBGR9Zx1IIgoshY3Dw8PvPzyy0b7xo4di7Fjx8qUERGRe1B6cZP9OTciIiLRnPNOIBEROZTSR0uyuBERuSFnHeUoiiLPrhVOCY8ZjTPCY0YJjik6HgBE6XOEx/TPFrx2yHGx4QAA2Q6ImS84niMm8E13QEx/wfECBMcDoLLQiFHtBVR3PMStqgBUGRaCOuJniOpNkcWNiEikxn5A1R1/k6kVcOVU+oASBfwTERE51uhYuTMQT+nFjaMliYhIcdhyIyJyQ0pvubG4ERG5IaU/CsBuSSIiUhy23IiI3BCfc3Og3NxcLF++HLt370Zubi48PDzQsmVLJCYmYvLkyfD0VHazmYhcw8ELQIn+9uv2zYDQwLrf7wqUfs9Ntm7JgwcPon379vjXv/6FyspKZGdnIy4uDv7+/njhhRfw0EMP4cYNy0vf6vV6FBcXG21VegWsAU9ETiPzAvDD6dtbfoncGZElshW3mTNnYtasWTh48CB+/PFHrFq1CidPnsTatWtx+vRplJWV4a9//avFODqdDhqNxmjbr/tPA5wBEZHrqoansM0ZyVbcsrKy8NRTT9W+fvLJJ5GVlYX8/Hw0btwYb7zxBr7++muLcVJSUlBUVGS09Up5yJGpExG5vCp4CtuckWz33Jo1a4bc3Fy0bNkSAJCfn4+qqioEBQUBANq0aYOrV69ajKNWq6FWq432eSn8RikREZknWxVITEzE1KlT8eabb0KtVmPBggXo378//Pz8AAAnTpxA8+bN5UqPiEjROFrSQRYuXIjc3FwMHToU1dXViI+PxxdffFF7XKVSQafTyZUeEZGiOeu9MlFkK24BAQFYt24dysvLUVVVhYAA43UsBg0aJFNmRETk6mRvl/r6+sqdAhGR22HLjYiIFKfaILC4OeFEjk6YEhERkX3YciMickNVVQJbbj7iQonC4kZE5IaqqwRe/lncGkY0zgiPGeUCMaP0OULjAYB/tkF4TBwXHC9bcDwAOOmAmBrB8Q4Jjgc45v+lv5PHAyxfCQsAlN3x+iwAS/NLOuL/JdWbIosbERGZVy2yW9IJsbgREVng6wk0uuNq6amAoXgsbkREbm5SW7kzIGsp4O8PIiKyVlWlp7DNGjqdDj179kRgYCCaNWuGxMREnDhxwug95eXlSEpKQtOmTREQEICRI0ciPz/fqu+RveVWUVGBjRs3IiMjA3l5eQCAsLAwPPDAAxg2bBh8fJxwGA4RkYszVMtz+d+1axeSkpLQs2dPVFVV4eWXX8agQYNw7Ngx+PvfGi00a9YsfPfdd/jqq6+g0Wgwbdo0jBgxAnv27Kn396gkSZIcdRKWnDp1CoMHD8alS5fQu3dvhIaGAri1/M2+ffvQokULfP/992jdurVVcZfhD8Jz5WhJgThaUoweguMBwJcOiKmE0ZK2EP1z+YPYS7Xqkl5YLClcbflNdbh8+TKaNWuGXbt24aGHHkJRURHuu+8+rFmzBk888QQA4Pjx42jfvj0yMjLQp0+fesWVteX2/PPPo3Pnzvjpp59q13GrUVxcjIkTJyIpKQlbt26VKUMiIoUSOKBEr9dDrzculqbW2jSlqKgIANCkSRMAQGZmJiorK5GQkFD7npiYGERERFhV3GS957Znzx4sXLjwnsIGAEFBQViwYAF+/PFHGTIjIlK4Kk9hm06ng0ajMdrqs2SZwWDAzJkz0bdvX3Tq1AkAkJeXBx8fHwQHBxu9NzQ0tPbWVX3I2nILDg7GmTNnak/qbmfOnLnnBO9m6i+GSnU1vNXKHuZKRA3n6FWgrOr265ZBQAgXNKmVkpKC5ORko331abUlJSXh6NGj2L17t/CcZG25/eEPf8DEiROxdOlSHD58GPn5+cjPz8fhw4exdOlSTJ48Gc8995zZGKb+Ytim+7mBzoCI3MGefOBf529vl0rlzkiAKpWwTa1WIygoyGizVNymTZuGzZs3Y+fOnWjRokXt/rCwMFRUVOD69etG78/Pz0dYWFi9T0/Wlttrr70Gf39/vPnmm/jLX/4ClUoFAJAkCWFhYZgzZw5efPFFszFM/cXwqXqGw3ImIlKEKstvcQRJkjB9+nSkpaXhhx9+QHR0tNHxuLg4eHt7Iz09HSNHjgQAnDhxAufOnUN8fHy9v0f2RwHmzJmDOXPmICcnx+hRgLtPuC6mblp6K3wRPiIiV5WUlIQ1a9bgm2++QWBgYO11X6PRwM/PDxqNBs888wySk5PRpEkTBAUFYfr06YiPj6/3YBLACYpbjejo6HsK2vnz55GamopPP/1UpqyIiBRKppbb8uXLAQAPP/yw0f6VK1di8uTJAIClS5fCw8MDI0eOhF6vx+DBg/H+++9b9T1OU9xMuXr1KlavXs3iRkQkmozdkpb4+vpi2bJlWLZsmc3fI2tx27Rpk9njp0+fbqBMiIhISWQtbomJiVCpVGYrec0gEyIiEqhS7gQcS9ZHAbRaLTZs2ACDwWByy8rKkjM9IiLlqha4OSFZi1tcXBwyMzPrPG6pVUdERGSKrN2Ss2fPRmlp3U9Dtm7dGjt37mzAjIiI3IRMA0oaiqzFrV+/fmaP+/v7o3///lbHdYUZ/AHxs/i7xAz+gPjZ0h0xg/95B8QUNwn7LbsExwMcs8KCElYFKABQccdrDwBXLXzGEf8vRVJ4ceNipUREpDhO/ZwbERE5iMJbbixuRETuSOHFjd2SRESkOGy5ERFZ8MdwuTNwALbc5JOfn4/XXntN7jSIiJSnSuDmhJy6uOXl5WH+/Plyp0FERC5G1m7Jw4cPmz1+4sSJBsqEiMjNKHxuSVmLW9euXeucYqtmPydOJiJyACedE1IUWYtbkyZN8MYbb2DgwIEmj//yyy8YOnSo2Rh6vR56vfHUD5VqA7zVTt3jSkREDiRrcYuLi8OlS5cQGRlp8vj169ctTpys0+nuuS83LjUa4+e1FJYnEbm3324C5XfMbtdcDQS7+lhzJx0IIoqs/zxTp041O3FyREQEVq5caTZGSkoKkpOTjfb9W50oIj0iIgDAjmtA7h1zS44IAYID5MtHCBY3xxk+fLjZ440bN8akSZPMvketVkOtVhvt83buQaBERORgTl0Fzp8/jylTpsidBhGR8vA5N/lcvXoVq1evljsNIiLlUXhxk7VbctOmTWaPnz59uoEyISIiJZG1uCUmJtb5nFsNPudGROQATtriEkXWbkmtVosNGzbAYDCY3LKysuRMj4hIuRTeLSlrcYuLi0NmZmadxy216oiIiEyRtVty9uzZZp9za926NXbu3NmAGRERuQnOLek4/fr1M3vc398f/fv3tzpuFM7YmJGZmPoc4TH9sw2W32SN42LDAQCyHRDzpOB45wXHA4AiB8QU7Zz4kPkO+PcO8hcbz09wPACWr4SlMJ6LsQyAt/mPZF+yL6W7tREbTvFzSzr1owBERES2cPXZ0YiIyBZOOhBEFBY3IiJ3pPDixm5JIiJSHLbciIjckcJbbk5R3C5cuIDg4GAEBBivIVFZWYmMjAw89NBDMmVGRARMbAQY7njkVq2EiZMU/iiArN2Subm56NWrFyIjIxEcHIyJEyeipKSk9vjVq1fxyCOPyJghERHgpwL8PW5vXkoobgona3F76aWX4OHhgX379mHLli04duwYHnnkEVy7dq32PZyhhIjIAaoFbk5I1m7JHTt2IC0tDT169AAA7NmzB6NGjcKAAQOQnp4OwPLEyXq9Hnq93mhfhVqCjyL6DYiIHETh99xkbbkVFRWhcePGta/VajU2bNiAqKgoPPLIIygoKLAYQ6fTQaPRGG0f665Z/BwRESmXrMWtZcuWOHz4sNE+Ly8vfPXVV2jZsiV+//vfW4yRkpKCoqIio+3ZlMYWP0dE5Na4KoDjDBkyBB999NE9+2sKXNeuXS3ec1Or1QgKCjLa2CVJRCJdqgbOVN3eSgRPCyuLSoGbE5L1ntuiRYtQVlZm8piXlxf+7//+DxcvXmzgrIiIjH1bDuTeMXBihB/QhVNgODVZ/3m8vLwQFBRU5/Hc3FzMnz+/ATMiInITCh8t6dR/e1y9ehWrV6+WOw0iIuVR+D03WbslN23aZPb46dOnGygTIiJSElmLW2JiIlQqldlBI5aecyMiIhs4aYtLFFm7JbVaLTZs2ACDwWByy8rKkjM9IiLlUvhoSVmLW1xcHDIzM+s8bqlVR0REZIqs3ZKzZ89GaWlpncdbt26NnTt3NmBGRERuwklHOYqikhTYNCrVewqP6Z/tgKc2jwuOly04HgCcdEBM0Xk64LyLi8XHDIoRGy//kNh4AHBEfEgECo5X98NDtrP0V/5aAHdOBjgIgKV/TtH/L0cIvlSrHhcXSzI/NlAWTv0oABERkS2cYrFSIiJqYAofLcniRkTkjpx0lKMo7JYkIiLFkb3lduXKFRw+fBixsbFo0qQJCgsLsWLFCuj1eowaNQrt27eXO0UiIuVR+GhJWYvb/v37MWjQIBQXFyM4OBjbt2/HqFGj4OXlBYPBgMWLF2P37t3o3r27nGkSESmPwu+5ydotOXfuXIwaNQpFRUV4+eWXkZiYiIEDB+LkyZM4deoUxo4diwULFsiZIhER/h+A8Xds0fKmQ/Uga3HLzMxEcnIyAgMDMWPGDFy6dAnPPvts7fFp06bhwIEDMmZIRAQEA2h6x6aWNRtBZFoV4D//+Q+GDh2K8PBwqFQqbNy40ei4JEl49dVXodVq4efnh4SEBGRnW/8wq6zFraKiAn5+fgAAb29vNGrUCCEhIbXHQ0JCcOXKFbMx9Ho9iouLjTa9XnHPpRMRiSXT3JKlpaWIjY3FsmXLTB5/44038O677+KDDz7Avn374O/vj8GDB6O8vNyq75G1uN1///1Gy9qsXbsWWq229nVubq5RsTNFp9NBo9EYbX97g8WNiMgZDRkyBAsXLsTw4cPvOSZJEt5++2389a9/xbBhw9ClSxd89tlnuHTp0j0tPEtkLW5jx45FQcHtSW0ee+yx2pYccGu9t169epmNkZKSgqKiIqPthRe5TA4RkVkCV+I23YOmtzqlnJwc5OXlISEhoXafRqNB7969kZGRYVUsWUdLpqammj0+d+5ceHqanydSrVZDrTbuAS/Vs7gREZklcLSkTqfD/PnzjfalpqZi3rx5VsXJy8sDAISGhhrtDw0NrT1WX079EPeVK1fw/PPPy50GEbm56wCu3LFZ3yZRNlM9aCkpKbLm5NTF7erVq1i9erXcaRCRm9sC4J93bDnypiOGwNGSarUaQUFBRtvdPWr1ERYWBgDIz8832p+fn197rL5k7ZbctMn8Ogl3DjYhIiKBnHBuyejoaISFhSE9PR1du3YFABQXF2Pfvn1W9+LJWtwSExMtrratUvH+GRGRUpSUlODUqVO1r3NycnDo0CE0adIEERERmDlzJhYuXIg2bdogOjoar7zyCsLDw5GYmGjV98jaLanVarFhwwYYDAaTW1ZWlpzpEREpl8DRktY4ePAgunXrhm7dugEAkpOT0a1bN7z66qsAgBdffBHTp0/Hc889h549e6KkpARbtmyBr6+vVd8ja8stLi4OmZmZGDZsmMnjllp1RERkI5nmlnz44Yct9ta99tpreO211+z6HlmL2+zZs1FaWlrn8datW2Pnzp0NmBERESmBSlJi0+ioA+7THRcfEtZPl2beScHxAPE5OiDmrwWW32MtR3SIi1686argeABw2AExgwTHCxQcDwC8LRzfBuDaHa97A4iy8Jkj9iRkQqrgS7UqXFws6ZK4WKLIvp4bERHJwAlHS4rk1M+5ERER2YItNyIid8SVuImISHG4EjcREZFrccri1rJlS5tWXiUionqSaSXuhiJrt+S7775rcv+5c+ewcuXK2oky//znPzdkWkREyqfw0ZKyFreZM2eiefPm8PIyTsNgMOCzzz6Dt7c3VCoVixsROa2ruLUMzt0u1OOzHgAEPm5Gd5C1uD333HPYt28f1qxZg/btbz/i6u3tjW3btqFDhw4yZkdEdEsPGPe+3fkgeR5MP7Cdb2Lf3bwgY3HjaEnH+eCDD5CWlobBgwfjxRdfxLRp06yOodfr71nOXF0BqH1EZUlE7q6J3Ak4gvLmpjIi+4CS4cOHIyMjA2lpaRgyZIjVS4nrdDpoNBqjTfeJg5IlIiKX4BTPuTVv3hw7duzA4sWL0a1bN6tWAkhJSUFycrLRPvUpjegUiYhMagTgPhP79Sb23c1TcC50m1MUN+DWMgcpKSkYNGgQdu/eDa1WW6/PqdXqe5czZ5ckETWQKJieRFn0xMlkHdm7Je8WFxeHGTNmoHHjxjh//jymTJkid0pERORinK643enq1atYvXq13GkQEZGLkbVbctOmTWaPnz59uoEyISJyNyKf4ra0Il7Dk7W4JSYmQqVSWVxynIiIyBqydktqtVps2LABBoPB5JaV5Yj1kImISOmTS8pa3OLi4pCZmVnncUutOiIislWlwM35yNotOXv2bJSWltZ5vHXr1ti5c2cDZkRERIogubHy8nIpNTVVKi8vd8p4rhLTFXJ0RExXyNERMV0hR0fEdIUcrQFcEbY5I5UkuW+/X3FxMTQaDYqKihAUFOR08Vwlpivk6IiYrpCjI2K6Qo6OiOkKOVpDparP1M71I0mhwmKJ4tTPuREREdnCaabfIiKihuScA0FEYXEjInJLzjmEXxS37pZUq9VITU29d+JlJ4nnKjFdIUdHxHSFHB0R0xVydERMV8iRbnPrASVERO5KpcoWFkuS2giLJQq7JYmI3BK7JYmIiFwKW25ERG6JoyWJiEhx2C2pSMuWLUNUVBR8fX3Ru3dv7N+/3+ZY//nPfzB06FCEh4dDpVJh48aNduen0+nQs2dPBAYGolmzZkhMTMSJEydsjrd8+XJ06dIFQUFBCAoKQnx8PL7//nu787zT4sWLoVKpMHPmTJtjzJs3DyqVymiLiYmxK6+LFy9iwoQJaNq0Kfz8/NC5c2ccPHjQ5nhRUVH35KhSqZCUlGRzzOrqarzyyiuIjo6Gn58fWrVqhQULFtg1cfiNGzcwc+ZMREZGws/PDw888AAOHDhQ789b+rmWJAmvvvoqtFot/Pz8kJCQgOxs84MULMXcsGEDBg0ahKZNm0KlUuHQoUM2x6usrMScOXPQuXNn+Pv7Izw8HBMnTsSlS5fsynHevHmIiYmBv78/GjdujISEBOzbt8+umHeaOnUqVCoV3n77bbMxyTy3LG7r1q1DcnIyUlNTkZWVhdjYWAwePBgFBQU2xSstLUVsbCyWLVsmLMddu3YhKSkJe/fuxfbt21FZWYlBgwaZnWjanBYtWmDx4sXIzMzEwYMHMWDAAAwbNgy//PKLkHwPHDiADz/8EF26dLE7VseOHZGbm1u77d692+ZY165dQ9++feHt7Y3vv/8ex44dw9///nc0btzY5pgHDhwwym/79u0AgFGjRtkcc8mSJVi+fDnee+89/Prrr1iyZAneeOMN/OMf/7A55h/+8Ads374dn3/+OY4cOYJBgwYhISEBFy9erNfnLf1cv/HGG3j33XfxwQcfYN++ffD398fgwYNRXl5uc8zS0lI8+OCDWLJkid05lpWVISsrC6+88gqysrKwYcMGnDhxAo8//rjNMQGgbdu2eO+993DkyBHs3r0bUVFRGDRoEC5fvmxzzBppaWnYu3cvwsPDzb5PDGWvCuCWEyf36tVLSkpKqn1dXV0thYeHSzqdzu7YAKS0tDS749ytoKBAAiDt2rVLWMzGjRtLn3zyid1xbty4IbVp00bavn271L9/f2nGjBk2x0pNTZViY2PtzqnGnDlzpAcffFBYPFNmzJghtWrVSjIYDDbHeOyxx6QpU6YY7RsxYoQ0fvx4m+KVlZVJnp6e0ubNm432d+/eXZo7d67V8e7+uTYYDFJYWJj05ptv1u67fv26pFarpS+//NKmmHfKycmRAEg//fSTzTmasn//fgmAdPbsWWExi4qKJADSjh077Ip54cIFqXnz5tLRo0elyMhIaenSpfWKZytgt7DNGbldy62iogKZmZlISEio3efh4YGEhARkZGTImJl5RUVFAIAmTZrYHau6uhpr165FaWkp4uPj7Y6XlJSExx57zOj/qT2ys7MRHh6Oli1bYvz48Th37pzNsTZt2oQePXpg1KhRaNasGbp164aPP/5YSJ7ArZ+nL774AlOmTLFr1fgHHngA6enpOHnyJADg559/xu7duzFkyBCb4lVVVaG6uhq+vr5G+/38/OxqCdfIyclBXl6e0b+5RqNB7969nf73SKVSITg4WEi8iooKfPTRR9BoNIiNjbU5jsFgwFNPPYXZs2ejY8eOQnJzd243oKSwsBDV1dUIDTWexTo0NBTHjx+XKSvzDAYDZs6cib59+6JTp042xzly5Aji4+NRXl6OgIAApKWloUOHDnbltnbtWmRlZVl1L8ec3r17Y9WqVWjXrh1yc3Mxf/589OvXD0ePHkVgYKDV8U6fPo3ly5cjOTkZL7/8Mg4cOIA///nP8PHxwaRJk+zOd+PGjbh+/TomT55sV5yXXnoJxcXFiImJgaenJ6qrq7Fo0SKMHz/epniBgYGIj4/HggUL0L59e4SGhuLLL79ERkYGWrdubVeuAJCXlwcAJn+Pao45m/LycsyZMwfjxo2zewb+zZs3Y+zYsSgrK4NWq8X27dsREhJic7wlS5bAy8sLf/7zn+3KyzpO2p0oiNsVN1eUlJSEo0eP2v0Xd7t27XDo0CEUFRXh66+/xqRJk7Br1y6bC9z58+cxY8YMbN++/Z4Wgq3ubKl06dIFvXv3RmRkJNavX49nnnnG6ngGgwE9evTA66+/DgDo1q0bjh49ig8++EBIcVuxYgWGDBli9z2S9evX45///CfWrFmDjh074tChQ5g5cybCw8NtzvPzzz/HlClT0Lx5c3h6eqJ79+4YN24cMjMz7crVFVVWVmL06NGQJAnLly+3O94jjzyCQ4cOobCwEB9//DFGjx6Nffv2oVmzZlbHyszMxDvvvIOsrCy7Wv/W42hJRQkJCYGnpyfy843XMsrPz0dYWJhMWdVt2rRp2Lx5M3bu3IkWLVrYFcvHxwetW7dGXFwcdDodYmNj8c4779gcLzMzEwUFBejevTu8vLzg5eWFXbt24d1334WXlxeqq6vtyhcAgoOD0bZtW5w6dcqmz2u12nuKd/v27e3q6qxx9uxZ7NixA3/4wx/sjjV79my89NJLGDt2LDp37oynnnoKs2bNgk6nszlmq1atsGvXLpSUlOD8+fPYv38/Kisr0bJlS7vzrfldcYXfo5rCdvbsWWzfvl3Iumn+/v5o3bo1+vTpgxUrVsDLywsrVqywKdaPP/6IgoICRERE1P4enT17Fn/5y18QFRVld67uyu2Km4+PD+Li4pCenl67z2AwID09Xcj9J1EkScK0adOQlpaGf//734iOjhb+HQaDAXq93ubPDxw4EEeOHMGhQ4dqtx49emD8+PE4dOgQPD097c6xpKQEv/32G7RarU2f79u37z2PUJw8eRKRkZF257Zy5Uo0a9YMjz32mN2xysrK4OFh/Ovo6ekJg8Fgd2x/f39otVpcu3YNW7duxbBhw+yOGR0djbCwMKPfo+LiYuzbt8+pfo9qClt2djZ27NiBpk2bOuR77Pldeuqpp3D48GGj36Pw8HDMnj0bW7duFZzpnZQ9WtItuyWTk5MxadIk9OjRA7169cLbb7+N0tJSPP300zbFKykpMWpZ5OTk4NChQ2jSpAkiIiJsipmUlIQ1a9bgm2++QWBgYO19DI1GAz8/P6vjpaSkYMiQIYiIiMCNGzewZs0a/PDDD3b98gQGBt5zD9Df3x9Nmza1+d7gCy+8gKFDhyIyMhKXLl1CamoqPD09MW7cOJvizZo1Cw888ABef/11jB49Gvv378dHH32Ejz76yKZ4NQwGA1auXIlJkybBy8v+X6OhQ4di0aJFiIiIQMeOHfHTTz/hrbfewpQpU2yOuXXrVkiShHbt2uHUqVOYPXs2YmJi6v1zbunneubMmVi4cCHatGmD6OhovPLKKwgPD0diYqLNMa9evYpz587VPotW84dJWFiYyRahuXharRZPPPEEsrKysHnzZlRXV9f+HjVp0gQ+Pj5W59i0aVMsWrQIjz/+OLRaLQoLC7Fs2TJcvHjR7KMgls777qLr7e2NsLAwtGvXrs6Y9lN2t6RbPgogSZL0j3/8Q4qIiJB8fHykXr16SXv37rU51s6dOyUA92yTJk2yOaapeACklStX2hRvypQpUmRkpOTj4yPdd9990sCBA6Vt27bZnF9d7H0UYMyYMZJWq5V8fHyk5s2bS2PGjJFOnTplV07ffvut1KlTJ0mtVksxMTHSRx99ZFc8SZKkrVu3SgCkEydO2B1LkiSpuLhYmjFjhhQRESH5+vpKLVu2lObOnSvp9XqbY65bt05q2bKl5OPjI4WFhUlJSUnS9evX6/15Sz/XBoNBeuWVV6TQ0FBJrVZLAwcOtPj/w1LMlStXmjyemppqdbyaxwlMbTt37rQpx5s3b0rDhw+XwsPDJR8fH0mr1UqPP/64tH//frvO+24N8yjAJmGbM+KSN0REbkil2iAsliSNEBZLFLfsliQiIue8VyaK2w0oISIi5WPLjYjILSl7QAmLGxGRW2K3JBERkUthy42IyC2xW5KIiBSH3ZJEREQuhS03IiK3pOxuSbbciKxQUVGB119/HR06dIC/vz+CgoLQunVrDB8+HD///LPc6RFZQdkTJ7O4EVlh9uzZmDt3Ln799Vc0b94cUVFRKCgowMaNG5GdnS13ekT0PyxuRFZYt24dAODVV1/FyZMncfjwYRQVFWH37t2IjY2VOTsia1QJ3Ky3bNkyREVFwdfXF71798b+/fvtOpu7sbgRWaFmfbVt27Zh8+bNyM/Ph0qlQt++fdGmTRuZsyOyhnzdkuvWrUNycjJSU1ORlZWF2NhYDB48GAUFBXafVQ0WNyIr/OlPfwIA7N27F0OHDkVYWBhiYmKwYMEClJeXy5wdkWt466238Oyzz+Lpp59Ghw4d8MEHH6BRo0b49NNPhX0HixuRFebNm4cNGzZg6NChCAoKAnBrQc1XX30VU6dOlTk7ImvI0y1ZUVGBzMxMJCQk1O7z8PBAQkICMjIy7DulO7C4EVlp+PDh2LRpE65du4b9+/ejc+fOAICNGzfKmxiRTPR6PYqLi402vV5v8r2FhYWorq5GaGio0f7Q0NDaldJF4HNuRFb461//iieeeAJdu3aFh4cHevbsibZt2+LIkSPQaDRyp0dUb5KUKizWvHnzMH/+fKN9qampmDdvnrDvsBaLG5EVPvnkEyxatAghISGIiIhAQUEBLly4AAB48sknZc6OSB4pKSlITk422qdWq02+NyQkBJ6ensjPzzfan5+fj7CwMGE5sVuSyAoLFy7EsGHDEBgYiOPHj6OgoADt2rVDamoqFixYIHd6RLJQq9UICgoy2uoqbj4+PoiLi0N6enrtPoPBgPT0dMTHxwvLSSVJkiQsGhERkQXr1q3DpEmT8OGHH6JXr154++23sX79ehw/fvyee3G2YrckERE1qDFjxuDy5ct49dVXkZeXh65du2LLli3CChvAlhsRESkQ77kREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHisLgREZHi/H8jZT5x7mfOFQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 500x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "gene_obj.landscape_obj.plot_alignment_landscape()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "opponent-parks",
-   "metadata": {},
-   "source": [
-    "### The alignment distribution across all genes \n",
-    "\n",
-    "We can use the alignment similarity percentage statistic of genes to rank genes from highly distant to highly similar"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "gross-syndrome",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage: \n",
-      "50.39 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df = aligner.get_stat_df() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "banned-alcohol",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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5uaFSqUo7LCGEKHEllgQBGAwGPvnkEz788EMyMjLw9fVl7ty5PPHEE0UKuqyRJEiUR0lJSXz761KOXk0mRV0ZxcENlSEVX1UCXZtV5fFJYyxbyQghREVUoklQtqioKGbPns3y5ctRqVS0bt2ab775ho4dO9p7yTJFkiBR3vz29yr+2h2NY5MJOLn55DqvS7kNFxfxzKg2DBvY+94HKIQQ90CJJEG7du3i+PHjqFQq2rZtS/fu3QHYsWMHzz77LKGhoahUKh599FE+/vhj/P39i/5MSpEkQaI8+eH3ZSy/6ItrnZ6FltVeXM20Thref/sVQMYECSEqlmJNgjIzMxk2bBg7duzIcbxv376sWbMGFxcXTCYTX375JXPmzCE1NRUvLy/eeecdnn32WRwcHIr+jEqBJEGivDhz7gLP/3wK92bjrK6Tdmgeu37NWooiLS1NusiEEBWGte/fVo1cfuutt9i+fTuKouR4bNu2jbfffhsABwcHZs+ezeXLl3n44YdJSUlh9uzZtGrVqliekBAifz/8HYJbkzGFF7yLY5MJJRSNEEKUD1YlQcuWLUOlUvH111+TnJxMUlISX331FYqisGTJkhxlq1atyp9//smePXto3rw5Fy5cKJHAhRBZUlNTuZrogsrG2ZiOGmn5EULc36x61bx16xY1atTg6aefxtPTEy8vL5555hlq1KjBrVu38qzTtWtXTpw4wVdffVWsAQshctqyYy+GmjLIWQghbGXVPhKVKlUiJiaGkJAQBg4cCMDGjRuJiYmhatWq+dZTq9U8/fTTxROpEBWY0Whk+ZoQzl2OwGRScHNxZOLIB6lbt06hdW/fScLZo1KR7h8TE8PSddtJSdfhoFJRO8CfR8YNR6PRkJyczIJFq4m8GUfo5esoZiNNGtUnuFZVpkwYiaenZ5HuXVxOnj7Lmk170BnMOKihU5smDHqwt6yNJITIl1VJ0KBBg/j1118ZMmQIvr6+ACQmJgIwePDgkotOiAouJSWFT779k7M3dJgCB+BeI+tDhtlo4Okf1lPNvJJRfVoxbFDffK/h4eqCKT4TitC79eTnO/Bu+RCOvlkzxM7ERbHkma9IvRmKo18dKnd8HE1dP7zqgi4tgT3HVrL1QgTL935O8wAPnps6ggb16xZyl+KnKAp/LF7NliNXSXBpgmeD6ajVDiiKwsljp/h1/Wc8UNeb2U9NQqPR3PP4hBBlm1Wzw+Lj4+nWrRuXLl3KcbxRo0bs2bOHypUrl1iApUlmh4mSFBUVzTNzfsGx7fM4uXjkWy7t+l7ae17mrRfzXoz0/IVQnvjhAr7Nh9t0f5Mug22v1MZR48agD8/jqMk9Rd5k1HNly9fUaDUIrxqNc5xTzGbC9v2Oe+Vg3DKuMnNkc/r37mpTDEVhNpt54c3PuO7eB/eaLfItp0uNx+nc9/z80Sy8vb3vWXxCiNJTrLPDKleuzMmTJ/nll1+YMWMGTz31FPPnz+fEiRMVNgESoiQlJyfz9Lu/oOn8aoEJEIBHnW4c0z/Ap98uyPN8xI3b3Ll20OYY1M6uNBz0X4Z9HpZnAgTg4OhMw4GzuHk6hIyE6BznVGo1dbpPJTPpFobKbfhq7SWOHj9tcxz2+u9784ioNKrABAhA41kZ5YGXeOzlz9Dr9fcoOiFEeWD1dBIXFxemTZvGt99+yzfffMPUqVNxcXEpydiEqLA+/Op3nNvPQq22bg0tt5qt2H7JQHx8fI7jiqLw88pD+Aa3Iz3uuk0xJF4/iH/9DoWWU6lUNHhwJpGHl+Z5PrjzRG5f2IlH68l88UeITTHY6/SZc5xNr4NLpSCryjs4u6Br8hjf/7q4hCMTQpQn5XuHUyHKIYPBwIVbxnxbX/Lj1mQMX/+6LMexDZu2o6vZm1oPDCfm8F8YtWlWXUubEkvylb1Urt/ZqvJqtQPObj7o0hLyPO8X3IaE8BMkujThzNnzVl2zKH5eshmvxgNsquPqU539525RhJ2ChBAVjCRBQtxjfy9fh1JniM31nFw9ORORM8lZteMUXgFtUDs40njQC4Rv+zxrf7ACpN++ws19v9Cw7wy2zunElnc7YtRnFnr/Wu1GE318VZ7n/Bv3Iu7ibjwbPcj8pVusf1J2yMjIICxZY3Ur2t1Sfdtz4NDREohKCFEeWTU7TAhRfC5ev4l7rWF21c1UeZOZmYmrqysAaSYN2RPAnVw8aD7sVa7vX4g2LQnfBt3xCXoAyOo2S7iyj5TwI2TeCafto/MwGTJJDDueVVkxF3pvZzdvzAZdnudUKhVqx6zEJMVQsi8rUVFRGD3r2VXXrVZrDp9cRZdO7Ys5KiFEeSRJkBD3mNFUhO4YJ1cyMjIsSZDJpOT4I1Y7OlGvx1QURSE2dDfRu7/7/zMKlWq3JWDwLK5u/87m1aWtk/W8ivT8rJCZmYniYN94RAdnV9LjC2/1EkLcHyQJEuIec3bMml5uVyKiS84xzdvJQSGvlEOlUlG1SU+qNulpd5x5UQpoMcoea+Ncwvsl+/j4oNKF2VXXkJ5IlUo+xRuQEKLckjFBQtxjowZ2J+XKdrvqVnXR4uj4z2eXWt5Za/nYwmTQ2zU4OPnGBTz8814Q0ZCZgoOTBl1aAg1qlOyeZEFBQXhmXrWrrvZKCKOG5L/wpBDi/mJXEmQ0Gos7DiHuGw+0bolfxjmb66XHXGJA5wY5jj01eThpF9badB3/xj24fc72wcsx57ZQrXn/PM9FHVtJrbaj0F1cwYwpY22+ti1UKhVt6/uiT0+0qZ6iKNR0jsff37+EIhNClDd2JUE1atRg1qxZnD17trjjEeK+0L9jfdKjT1pdXlEUVFdXMG5kzm1qagcHU10Jw6TXWn0tj0qBpIeuwWw2WV0n/U4kTq7eec7IMmSmok9LRKVyoKGv9p6srj5jylgyT/9hU53US1t4ZNi9W9FaCFH22ZUExcfHM2/ePFq1akW7du344YcfSE5OLu7YhKiwJj80ggb6vWTGFd6toygKqUe+571nR+PgkDsJ+fytGWgPf2JVt5g+Ixnn89+x5JvXSD80D41HZTSeBa/6rk2+Tfj+hdTuOjnXOaMug0ubviCoy8M4nJ7Hh6/NKDSG4uDt7c3Mse1IOWPd4ofpkUfpWTOWnt06lXBkQojyxKq9w/5NrVajUqmyPp3+/w7NGo2GkSNHMnXqVPr2rRh97rJ3mChJiqLw1kffcTTWF88mw3Fwyr3BZ0bcdZSLi3nv2VG0atks32vFxcXx9JvfkF5jAJ5B7fK8V8qVHdTIPMY3c2fh6upKREQkz8+dj7H2SNxr5L622Wzi5sn1pMZcpuGAF1A7OOa4XvyV/dy+sJPq9dtSXXuS7z+cjbt7yY4H+retO/bxxeL9ODWdiKtP9Vznjbp00s4uZWBzV2Y+/sg9jU0IUXqsff+2KwkaO3YsGzduJDMza6rpvxOigIAApkyZwpQpUwgODrbvGZQBkgSJeyE8IoLv/ljDpRgTOmd/cHQBbQKVHRLp264uD48bhpOTU6HXURSFzdt3s2zzUW5muKG4+oNiQp0ZS7C3nqlj+tDugdY56pjNZlav38y6Pee5lekOblXAbMBRG0sdXyMPNK7F/tMRXIlXY9BUxqyoyEyKQZ98E293Dc3rVmHSiB6luu5OZmYmvyxcwb6zN0miMiqNDxjTcdHfpmWgG09PHSPjgIS4z5RoEgRZq7auW7eOpUuXEhISglabc0yCSqVCpVLRo0cPpk+fztixY3PMaikPJAkS95LJZCIxMRGtVouPjw8eHgVvrFoQrVZLQkICDg4O+Pr64uzsXGidzMxMEhIScHJyws/PL8ffq06nIyEhAZ0ua7FEFxcX/Pz8rLruvZSSkkJycjLu7u74+PigLpH1kIQQZV2JJ0F3S09PZ82aNSxbtozNmzej0+ksU3CzW4dq1qzJt99+y9ChQ4t6u3tGkiBRkWVmZjJw4EAAQkJCLAswCiFEeWft+3exNM24u7szcuRItFotYWFhnDlzxpL8QFYzfXR0NCNHjiQkJIR+/foVx22FEEVgNpvZvXu35f9CCHG/KXJb8alTp3jqqaeoXr06jz32GGfPnrWMEVIUhWrVqllWuDWbzcyZM6fIQQshhBBCFJVdSVB6ejo///wz7dq144EHHuDHH38kJSXFkvgoikKXLl1YvHgxkZGRREZG0qZNGwBZW0gIIYQQZYJd3WHVqlUjIyMDIMfy+xqNhgkTJvDss8/SuvU/s1A8PT0ZOXIkJ06cIDU1tYghCyGEEEIUnV1JUHp6uqXLC6BWrVrMmDGDxx57jMqV8154zcXFvl2fhRBCCCFKgt2LJQJ07dqV5557jpEjR+a5km15J7PDREWWnp5umYaflpZ2zxc6FEKIklKis8OmTZvGs88+S8uWLe0OUAhR+tzc3Eo7BCGEKDV2JUHdu3fn9OnTJCcn07179zzLaLVa9PqsvYykFUWIssfd3Z309PTSDkMIIUqNXUnQlClTUKlUjB49Ot8k6NFHH2XlypWoVCqMRmORghRCCCGEKG4luqZ89nR5W+3atcuy7UZBj7zWHFqwYAHt27fHw8MDPz8/Bg0axIEDB4rj6QghhBCiAimxzbxiYmLsrlutWjUmT56c5zmTycTChQsB6NatW45zzz//PPPmzcPV1ZX+/fuj1WrZunUrW7ZsYfny5YwYMcLumISoaLRaLaNHjwZgxYoVMoNTCHHfsXp22LRp0yz/X7BgASqViqCgIHr27Jmr7M2bN9m6dSuKoqDRaCy7zReHkJAQBg0aREBAABEREZbtObZt20a/fv2oVKkSBw8epH79+gAcPHiQnj174ubmRlhYGD4+PlbfS2aHiYpMZocJISqqYp8dlp34ZFMUhYiICH7//fc8yyuKgkqlok6dOjaEXbjsVqCHH344Rzyff/45AG+88YYlAQLo1KkTTz75JF999RXz589n9uzZxRqPEEIIIcqnEh8TNGXKlGK7XvZu9ZA18DpbZmYmO3bsAGDMmDG56mUfW7duXbHFIoQQQojyzaYxQdk9Z9ktMPn1pLm6ulKvXj0mTZrErFmzihjiP1auXEl6ejqtW7emSZMmluOXLl1Cp9NRpUoVatWqlate9r5lZ86cKbZYhBBCCFG+WZ0Emc1my//VajUqlYoxY8awdOnSEgksL9ldYXe3AgFERkYC5JkAQdZ6KD4+PiQmJpKamoqnp2ee5XQ6HTqdzvJ1SkpKcYQthBBCiDLIru6wwMBAAgMD8ff3L+548nXr1i22b9+Og4MDEyZMyHEuLS0NKHj12+xBnwVt4Prhhx/i7e1teQQEBBRD5EIIIYQoi+yaIh8eHl7MYRRu0aJFmEwmBgwYQLVq1UrkHq+++mqO7ruUlBRJhIQQQogKyqokKLu7yd3dnUqVKlm+tlZgYKDtkf1Lfl1hgGWab0ZGRr71s7cHyK8rDECj0aDRaIoSphDlhru7u12LmQohREVhVRIUHBxsGQO0ZMkSy9fWKI5tM0JDQzl58iQeHh55LniYnWRFR0fnWT89PZ2kpCR8fX0LTIKEEEIIcf+waUzQvz81Zm+LUdijqP78808ARo0alee4n4YNG6LRaIiLi+PGjRu5zp84cQKAFi1aFDkWIYQQQlQMVidBeSVA94KiKPz9999A3l1hkDUlv3fv3gAsW7Ys1/nly5cDMHTo0BKKUojyR6vVMnbsWMaOHYtWqy3tcIQQ4p6zatuMd999F4AmTZowduxY3nnnHau7wwDefvttuwPcs2cPPXr0oGbNmkRGRqJW5523FbRtRq9evXB1dZVtM4S4i2ybIYSoqIp124x/JzHvvPNOkYKzRfaA6IkTJ+abAAH07duXmTNnMm/ePFq1akW/fv3Q6/WWPcx+++03mxIgIYQQQlRsdk2Rz95M1cHBge+++w4nJ6diDSqbTqezdGU98sgjhZb/8ssvadWqFd988w1bt27F2dmZvn378uabb9K5c+cSiVEIIYQQ5ZPVu8jfzdnZGZPJRLt27Th06FBJxFUmSHeYqMikO0wIUVFZ+/5t14rRNWvWBMDX19e+6IQQQgghSpldSdDIkSNRFIUTJ06QmZlZ3DEJIYQQQpQ4u5Kgt99+m8aNGxMfH8+ECRPyXJtHCCGEEKIss2tg9MiRI9FoNCiKwrp16wgJCSE4OJjq1avnmsGlUqnYvn17sQQrhCg+bm5uVm0+LIQQFZVdA6PVarVlnaC7q/977SBFUVCpVJhMpiKGWTpkYLQQQghR/hTrOkEFsWXRRCGEEEKIssKuJCgwMFCSHyHKOZ1OxxNPPAHAjz/+iEajKeWIhBDi3rKrO+x+Id1hoiKTdYKEEBVVia4TJIQQQghR3hV5TJAQZZ1OpyM0NJTEpGS8vTxp0KCBpQXEGhEREUT//zIQtWrWJCgoqNA6er3eck9PD3caNGiAp6en3c9BURSuXLnC7duxODk5UrlyZVJSUkhOScXXx5vGjRsX2p11+/ZtwsPD0er0VKvqb1n09N8yMzPZvHkzkVHReHt50q1bN+rUqUNaWhqXL18mOSUVP18fXFxciIuPR6VSUev/rxV94waKolCrZk2Cg4Ptfr7W0Ol0XLx4kYTEJLt+rsXl1q1bREREYDAYqVatKvXq1ZPhAkKUE0XqDjty5AgrVqzg8uXLpKSkkNelyvMUeekOK9/CwsL4Y/Fq7mSo8A1ojrObJwZdBglR5/B00DJ+xABaNG+WZ12dTseS5as4eSECJ7/aeFUOACAlPgpDYjitGwcyfszIXIlHZGQkvy9eRWyyCd/AFri4e6PXpZMYfQF30hkzrB9tWrey+jmkpaXx59/LuBgRh5t/Q9IzMgm/dAIPLx/qNeuIxs0DfUYqCVFnqeSmMGn8cOrUqWOpbzab2Riyhd2Hz2Jy9cenWl0cHJ1IT44jKeI033/6huU+V69e4/3PvkPlWoUGrXvg5uGNNiONK2cPEHn5FK5ubnQZOBlnNw8yUpK4cvYgep2Wek3boc1MI+LyaTx9qtCgZWcyk2+jTwijVcMAHho3qljHG4WHh/P7olXEp4NvQHM07l4YdBkkRp3HwyGTscP606pli2K7X15MJhNr1odw4Hgoint1vKvWRq12ID3xNhmxl2gUVIVHJ44tlaRMCGH9+7fdSdCsWbOYN29egWVkirwoLb/+8TdnorS06jEGRyfnXOfNJhPnD22kkiqWl55/Kscn98ioKN777Cea9XyEStXzbvW5cyuCc7sW8ubsxwkMyEqQFi5eztHLCbTqNR4n59xv+mazmdAjW3DXhvP6yzMLbS04dfos3/6+mlb9JuPlW4XtK3/Gp3I12nQdjNrBIVd5o0HP6T0raFZTw38mTyQtLY1X3vmYmq2GEFA/d1KgzUznsV6VAZj6+LOoKzWk6+BJODrm3hDZbDJxdNcaTuxdz+QXv8TNw8tyz0Nbl+HkrKFD3zHE3Yxgz4Y/6DV8Gn7+NbkTE8m5HX/yxuzHCAoMLPD5WmPBwsWcCkujVa9xef9czWYuHA7Bx3SL/856ukRaZJKSknj13c+o03E01YMb5VkmOSGWU1t/55mpI2mZT6IthCg5JZoErV+/nmHDhmVdQKXKd60gSYJEafjtz0VE6atSp1nnQsvGRFzCGLWPV2Y/DUBsbCxv/O8Huo6ZnWeicTezycS+5Z/x/itPsm3nXi4neVCvVY9C7xl34zoplzbx9quz8i1z8dJlvv5jAx2HPolKpWLbip9o3KY7NWvn/aZ7t7BzB/EnipPnrtB22Exc3PJujbg7CXrombm07DyAWnWaFHjtqGvn2fDnZ/znte9zJHqXTu0j6c5tOvQZjdlkYu3vn9Bn1HQ8fSpjNpvZt+wz3vvv41StWrXQ+PPz+19LiMisRJ3mXQstezvqCrqwnbz20nN23y8vmZmZzHx1Lh1HzsbZxbXAsoqicHDt98ycMpSGDeoXaxxCiIKV6MDoX3/9FchKeLJnlKhUKtzc3HBzc7MkP0FBQQQWw6c/IawVFhbG6chMqxIggGpBDclwq8uu3fsA+Pir+XQe/UKhCRCA2sGBzqNf4K25X3AoNM6qBAigSs06qKu2IWTztjzPK4rCvJ8XWRKgK2cPUT2wvlUJEEDtZp1YvfUQLQc+mW8C9G99Rj3O8d3r8uzSvltA3aZ06j+eFT+/l+N4w1Zd0WsziY+JRO3gwJBHZ7F77QIga3HVzqOf56N5862KJS8RERGcvJ5qVQIEUDWgPnqvxmzfudvue+blk3k/0m7Yc4UmQJD1mthp2Ay+/OnvQr+vQojSYVcSdPz4cQDc3d25fv265figQYNITk7mjTfewGw2079/f8LCwoonUiGs8Mfi1bTqMcamOvVb92DjjgNERUWheNTMszsoP46OTkTeTqZVr/E23bN2047s2H8yz3P7DxyiWqOullbVy2cO0qRtT6uvbTQa8KsWjKd3pQLLaVzc+DYkkm9DItG4utOyU38uHC88aWjRqT8ZqUkY9Locxzv2G8vx3esAcHRyxte/JolxN7O+dnRC7R1IRESE1c/jbr8vXkXLnmNtqlOvVTc27zps1/3ykpGRQVy6Cld361uFVSoVVRt04eChI8UWhxCi+NiVBMXGxqJSqWjTpg2VK1fOeUG1mjlz5tCwYUN++eUXvvnmm2IJVIjC6HQ64tKUPMeKFESlUmFwrsQP8/+iaedhNtU1GY34+AdZ1TLwb4p7dSIjI3MdX7dlr6UlKzkhFi+fKjaNbTm5Zz0PdB9aaDmVSoWXbxW8fLOuH9yoNeEXT1hVr3ajNuzb+FeO41ndYwpGgx6Adj1HcGzXGsv5pp2H8vviVVY/j2x6vZ7YFFOe46wKY9RU4datWzbXy8vCxctp2NG23w+Aui26sHZz8bZICSGKh11JUPYLsp+fHwBOTlmfnJOSkixl6tWrh6Io/PTTT0UMUQjrhIaG4hdo36yg4ObduXEnDWeNi031Ym+GEVCvqV33rNuqJ9t37ct1XKc4W/7Grp0/SuM23Wy6btKdGPxr1rYrJmeNdclc03a9iL52LtfxwPotuRVxOeta/0oMnZw1pOlsH6h8+fJlfAOa21wPoHaLHuzcc8Cuuv8WHZOIT+XqNtdTqVRozbYl5kKIe8OuJKhSpaxm9vT0dAB8fX1RFIVDhw4RExNDQkICR48eBeDatWvFFKoQBUtMSkZjQ1fF3VzdvTAazTbXy0xPwdXdvvV/XN29SEpOyXXcfNfwkazr2/icrGw1Muh1LPjkeRZ88nyurq3CuLp75jnhwdXdk8yM1HxjMdn+LSYpORmNaxG+x0nJdtX9N1MRhvWYFVk3SIiyyK4kqFq1aiiKQkJCAgCNGmUN2ExPT6dOnToEBgYSFxcHgJubWzGFKkTBvL080WvT7aqrzUjD0dH2PwcXVw90mRl23VOXmY6XZ+6By2r1P2+YLm4e6Ox8ToUxmYxsX/Ej21f8iMlkzDpoZQKlzUhH7Zh7rVVdZhourvkPxnZwsD0Z8PIsws81Mw0vL/sXqbybg9r+RMZB1uYXokyy60+zVatWAFy8eBGj0cjQof+MP9BqtWRkZL0pqFQqHnzwwaJHKYQVGjRoQGLUebvqRl08jJ+HMyaj0aZ6lasHcSMs1K57hp8/SOcObXMdd1L+aZUJatCSK2cO2XRdN3dvku7E2BWTXpdpVbnLZw9SJY81lKKuXcC/VtZijSajEZPRYDlnNpnQqAy56hSmXr16JEZfsLkeQOSFQ3Rs38auuv9WyduV9JREu+o6Kra1tAkh7g27kqAHH3yQLl260KpVK65evcqMGTNo2rRpjmmgiqJQo0YNPvroo2ILVoiCeHh44OmoxWzHulRKSjSPTxlP6OEQm+o5a1y4cysMo9H2N3dd/BUaN8497b1np1ZEXTkNQOVqgcTfjrLpum17DefoDtsHIN+KuEz1AOvWs7l69hC9hk/LccxsMmHQZeLimrVsxsl9G2jdZZDl/IUjm5gwahC2cnNzw8dZb9fP1ZQcSb26dW2ul5fJE8dyYb/t39fIyyfp3bV4EjEhRPGyKwkaM2YMe/fuZe/evTRq1Ag3NzcOHjzIBx98wNChQxkwYABvvvkmJ0+ezHd/IiFKwvgRAzh/aKNNdaKunKJb+2Y0atgQbdwVm9Z0URSFKl4azu5dbdM9b4VfpH3LvBOOgQ/2JfLMP2sIBdRtRpgVs7ayaVzciL8Zhl5rXatOtuN71tGy84BCy109dwSVSpVrDaITe9db6iuKwq3Iy1QNqGv5OiMmlCZNGtsUU7YJowdz7sA6m+pEXTlD5wfsu19efHx8cFelW2a/WR3H2R0M6Nen2OIQQhSfYuup9vDw4JVXXmHNmjVs3LiRd999N9f0eSFKWovmzaisjiMm4pJV5ZPuxJB0eQfDhgwE4Jn/jOfQ2u+tSoQUReHQ2u9548UZBHhquXHtrFX3TE2KJ+b0OsaPGZnnebVazSMj+nJyx2IAmnfoy7kj20mKt26qd0zkZTo0D+Tgqi+s7t47umMV9Zt3wCGPcT53S4i9wdZl3zHqsbdyHL8RFkpKUjw1ghuiKApbln5Lh77/rOtzaN2PPD3NtrWU7takSWP8nRK5FW5d12NyQiyJl7YyavgQu++Zl9nPTGP/yi8wm60b4X1qx2IeHdlPNlQVooyS4Xqiwnlx5gyMUfu4dHxngclM1OVTRB36m7lvvWx5k6pXry6Pje/H/pVfos1Iy7euNiONfSu/ZPq4vtSrV5eZT03H6c4JQo9uLfCeN66f59ru3/jwnf8W+MbYpXMHBnaozaH1P2MyGhg08QX2bfyL8It5L7AIWUnZ5ZO7MUTu4c1XZvPeK0+xf9lHJCfE5lsnW/TZ7YXOELt24RiLv3md8U+9j4eXr+We547sIPTEXnoNn4Y2I42Nf31Bk7a98K8RjDYznX0rvuQ/Y3oVeeuI2c89iXLzAJeO7yjwexx95QwRB/7M8XMtLpUqVeLNF6axb9nHpCbfybecQa/j0PqfGdChNp07tS/WGIQQxceqvcOmTZtWWJH8b6BSMX++/cvllybZO6x8271nPxu278fgXIng5t1xdfdCm5FG1MXDkHqDbu2bMXTwgDzfKO/cucOvfywhIi6N6o264Vc1AFQqEmIiuXVxL0FVPJg2abxluYhs+w8cYu3mPegcfQhu3gM3Tx90melEXzqKMSmCzm0aM2rEEKvfnCMjI1nw90pup5oIbNaLG+EXuRVxhSo1gmjUuhsubh5kpqcQcXYvToY7DOzViZ49/tlaIjMzkwV/LuZC2G38gh/AP7Ahjo5OJCfEcv3EJn78+BUgaxf5detDWLR6K5UCm9GyywDL9yv0+G4untiD0aBl2LTX8fbzJyMtmXOHt5OSFEdQ/VZ4+lTi7KEtOLu40arbYAyZady8sIdald2ZPnl8sbYK7913gPXb9mNw8iOwWTfLbvdRF48QGXoIjYOJ4Nr1cHRQ44ARs9mIWaXBrICDCvwrefLwQ2Px9LR/1lhaWhq/LVzClcg7VK7bjko16uLg4EhKwm2izu7E39uBKRNGEfD/m+sKUdrCw8NZvHwtOhOYzQpqlUKD2jUZM2qEZa2/iqRYN1BVq9V2faKSDVRFWXD79m127z1IckoKXp6etG/bitq1rVtM0GQysWfPPiKibqAAwQE16d69Kw6F7C0WFxfHrr0HSEpKxtPTgwdat6B+vXp2PwedTsf2nbu5FROLk5MTHm4a9EYzqalpeHt50aNbpwI3J1UUhaPHjnPpynV0Oh3Vqlahd8/uxMZmtRIFBgaiVmc1DIeHh/Pzb38SG3cHdzdXenTrxIhhQwkLC+PI8VOkpmZNO3dQQWp6JiqgVs3qoChE34xBAQJr1aBnj26Ffp+KIjY2lt17DxJ3J4GDh47g6lWFXiOm4le5mqWMNiOdPZtXkJx0h96Dx1PJvwbJifGc2L0GV7WO2c89gYeHdfur5UVRFA4eOszV6xEYDAaqV/Onb++eODvL4oiibDh/IZQ/l6zBzS+QNt0H43TXivoxUWGcPRRCrSoePDtjeon+vd5rkgQVA0mChCjbUlNTee2dj+g5+mk8vHzyLWcymVj5x1d07j2UmkFZyag2I50tS+Yx57Xnc7XoCVER7Nt/kA27TtJj2JQC38PjY6I5ueNvPnz3tQrTKlTsu8grimLzQwghSoqiKLz1/if0Hf98gQkQgIODA2OmPM/eratITc5a5NXFzZ2Bj7zIOx98gdHG9aGEKOuuXr3G2h3H6Dl8aqGNGJWr1aJt/8m8/9EX9yi6ssOqJMhsNtv9KK+tQEJUdHq9npdeeomXXnoJvd62ad9lwbbtO6nfdgAubu5WlVepVIyY+BS7Ny23HHNycqZN7/GsXG3b9Hshyro/Fq3MtZZXQXwrV8XRO5ArV6+WYFRlj8wOE+I+ZTAY+PTTT/n0008xGGxf7LG07TpwjLqNW9tUx8XNHb1Ol+PDWY2gepw4e7m4wxOi1CQnJ6NXu1nG+VnrgW6DWbx8bQlFVTZJEiSEKHcSEhJA42tX3dYde3H6yO4cx1wrBRIZGVkcoQlR6hYtXUHbniNsrufg6Ehyhvm+Gs5S8Mpo/2/OnDkANGnShDFjxli+ttZbb71VeCEhhLDSzZs38fUPtKtujcC6XDp3LMexytWDiYiMJDDQvmsKUZYkpaRT29vPrrrO7t5kZGTg7m5dN3N5Z1US9M4776BSqRg9ejRjxoyxfG0tSYKEEMXJZDKhsnM6r9rBIdc+ZA4OjhiN5W9clBB5MRehJUetcrivJgqUaHfY/dSkJoS4d/z9/UlNiLGrbkJcDD5+VXIcS74TQ/Vq+a+zJER54uLsiL6QFeDzk5mWVKSFRMsbm6bI//trmSIvhCgN1atXR5t00666R/aE0KZz3xzH7kRdoGHDhsURmhClbuzIoRzfbfuMR0VRcHMy2TygujyzqjssLCwMwNJHmP31vRAXF8dHH33EunXriIyMxNXVleDgYPr06cMnn3ySq/y6dev49NNPOXkya4+lNm3a8NJLLzF48OB7FrMQouQ1bxhEzI0IqtUMsrqOyWjEaDDg4upmOZaUEEedQH/Z5FRUGAEBAehTbP+QcPHUQQb07VYCEZVdVq0YXVqOHz/Ogw8+yJ07d2jatCnNmjUjJSWFCxcuEB0dnavf8ssvv+SFF17A0dGRvn37otFo2LJlC5mZmXz99dc888wzNt1fVowWFZnZbCY0NGtX9saNG5e7T396vZ4XXn2fIZP/a3Xsm1YuoGW7HlQPyNo2RVEUNi78nA/efL5I22cIUdbs23+QvWdu0qbbIKvK6/U6diz5gs//Z9uY37KqWLfNKA1xcXE0adKEjIwMFi1axLBhw3KcP3LkCO3b/7M786VLl2jatCmOjo7s3LmTTp06AXD58mU6d+5McnIyoaGh1LNh/yZJgoQo266HhfHlj38zYMLMQvc92hWyDB+/KrTq0BPISoC2LvueqeMH0qxpk3sQrRD31sJFS4nJcKN5hz4FltPrtGz6+3Pee/0F/Pzsm1VW1lj7/m1Vd1h+IiIi2L17N7du3UKny38Qlj2zw95++23i4+P59ttvcyVAQI4ECGDevHmYTCaeeeYZSwIE0KBBA15//XVmzZrFvHnz+Prrr22ORQhhv9TUVG7fvo2iKPj7++Pt7V1s165TuzYvPT2JL777HP/gFrTs1C9Xq9CV8yc4eWgnzdt2o3HL9iiKwrlju7lx6ShP/Wci9evbv7GtEGXZIxPGsXrtBrYs+ZqmHQZQM7h+jvMGg57jezaQHh/G3Ddn4+PjUzqBliK7WoKMRiMzZszgt99+s2oAtK1bZ2RmZlK1alXMZjNxcXG4uroWWicoKIjIyEj27t1L165dc5yLiooiMDCQoKAgwsPDrY5DWoJERabX6/nggw8AeO2114p153NFUdi5aze79x3C0cWLSv41UKlUJMTfRp+eSNvWzRk8aECxdsGdOXOWFes2YVCcMJlBrVaRGHuLzIw0agTVw6yAWgWOGBg2sDft2j5QbPcWoiwzGo2sXruBE+cuo6idMZsV1Jhx16iYOHY4derUKe0Qi12Jdoe99dZbvP/++/9cJJ/+Q3t3kd+7dy/du3ena9eu7N27l5CQELZu3YpWq6VBgwaMGzeOGjVqWMonJSXh65u1emxaWlqeizxVqVKF+Ph4mxIaSYJERZaenm4ZB5Pf3409UlJSmPPBJ7Tq2I/GLR7I8/Xh2qXzHNixhv/OeoZq1aoVy32FECJbiXaHLVy4EMhKfkpiOvyFCxeArLVARowYwZo1a3Kcf+2115g/fz4TJkwAsCx37+vrm+8Lea1atYiPjyciIoLmzZvnWUan0+Xo1ktJSSnycxHifpKRkcHb73/MmCnP43rXDKx/q9uwKUF1G/Lxl5/xxsszK8w4BCFE+WJXW/TNmzdRqVQ4Ozvz7bffcvbsWcLCwvJ8XL9+3ebrJyYmArB27Vo2bdrEt99+S2xsLOHh4bz44otkZmYyefJkTp06BWR9igVwc8v/RTc7OUpNTc23zIcffoi3t7flERAQYHPsQtzPvvj6O0Y+8kyBCVA2R0dHxk99gc+/+v4eRCaEELnZ1RIUFBTE1atX6d69OzNmzCjumDCbzUBWP+bcuXN56qmnLOc++eQTIiIiWLZsGZ988gl//fVXsd331VdfZdasWZavU1JSJBESwkopKSmYVK54eFrfdezk7IyPfxAREREEBVm/3o8QQhQHu1qCpk+fjqIoXLx4scBZYfa6e72OqVOn5jqffWz37t05ymdkZOR7zfT0dIAClwPXaDR4eXnleAghrPPXoqV06zfc5npdew9myfLVxR+QEEIUwq6WoNmzZ3PgwAHWrFlDz549ef7552nSpEm+U19t3Zk5+xOhm5sbVapUyXU+ODgYgNjY2BzXT0xMJD09Pc9xQdHR0TmuLYQoXgnJaXj72D62x1mjQWswl0BEQghRMLuSILVazcyZM9myZQtHjhxh4sSJ+ZZVqVQ270jbunVrIGuqvE6nQ6PR5DifkJAA/NMC5OPjQ2BgIJGRkZw8eTLPKfLx8fEEBQVJ644QJcb+VWYVpfyvUCuEKH/s6g7bvXs3AwYMQKvVAoVvpmqrwMBAWrZsiaIoli6vf98f/kmWAMveYMuXL89VPvvY0KFDbY5FiIrKxcWFI0eOcOTIEVxcXIp8vaKstF8BVukXQpRDdiVBb775Jnq9Hsi9u3xxefnllwF48cUXuXXrluX4qVOn+OyzzwB48sknLcdnzsxaNv+HH37g0KFDluNXrlxh7ty5ODo6MnPmzBKJVRQfo9FIYmJiiYw1Ezk5ODjQrl072rVrV+iWE1ZdDzMGg8HmeoqioJj0Rb5/aVIUheTkZNLS0krsNVEIUfzs6g47efKkZQG0rl270q5dOzw8PIp19deJEyeyZcsWfv/9d5o0aULnzp3JzMzkwIED6HQ6HnvsMcaOHWsp37BhQz755BNmzZpFt27d6NevH87OzpYNVL/66iub9g0T947RaGT1mjWEXrqKg5ML7u6eaLWZaDPSqFLJhwkPjbMshinKrjGjhrF220Z69LdtcPTZE4fo26t87lx99NgxtmzdgQkHPD29MCtm0lJT0DiqGDl8KA0bNiztEIUQBbArCXJ3dycjI4M2bdqwZ8+e4o7J4rfffqNLly78+OOP7Nq1C5VKRZs2bXjiiSeYPHlyrvIvvPAC9erV45NPPmHv3r0AtG3blpdffpkhQ4aUWJzCfidOnGT5qnX0HTSSiZ0H5DqfkpzEj78uJKBaZR5+eEIpRFhx6fV65s2bB2S1pBZ124y6deuSsHCpZaV4a10+e5jJo18t0r3vteTkZD7+9Auate7A+MlP5Xq+RqORvbu2snT5Kv770qxi3ZJECFF87No247HHHmP+/Pl06NCBgwcPlkRcZYJsm1Gyjh07zs69hxn1UO6E9t9OnzhC4u0I/jNtSskHdp8oiW0zLl2+zN/LQxg+4TGrym9bv5Tu7ZvQsUP7wguXEampqcyZ+z+mPP4CLoXsa5iYcIcVf//Ce+++haNjkfarFkLYoET3DouLi6NDhw5ERETw8ccf89xzz+Hk5FSkgMsiSYJKTmZmJu9/+CnTZswqvPD/27tzC/WDq9Glc6cSjOz+UVJ7hx09dpzVG3cwbPxjOOXTAmIymdi0aiGd2jSib59exXLfe2XO+x8ycsJ/cHOz7vsVF3ubw3tCmPns08UWQ1xcHIsWLyU9U/f/wxBUGI06mjVuzJAhg4pljJcQ5VmJ7h02fvx43N3dURSFl19+mffff586derkuU6QSqVi+/bt9txGVGBLly1nyKj8l1bIS9ee/Vj8+3eSBJVx7do+QI3q1fjz719J1yl06DGIajUCUKlUxMfGcHDXBpzQM2HMiHI3Tu/GjRv4VKpmdQIEUMW/KmkZerRabZFn4Wm1Wr6c9zUady8eHDwGd3ePHOevXr7I3P99SqvmTRg2TGbDClEYu1qC1Gq1pQ/87ur/7he3dxf5skJagkrOnPc/4uH/PGNzvXWrFvPQqMGy83gxKKmWoLvpdDrWrd9I9M2bKGaFqv6VGTZ0SI5V4cuTz7+cx4Dhj6CxMZm5dfMG4ReP8cjDtiX+d8vMzOSdOXN5eOoMvL19Cix7cP9ujBlJPPKI/fcTojwr0Zagu9kyAFIIgNu3b+PnX92uuj37DGTDxhD+My33diqi7NFoNIwZPbK0wyg2Or3Z5gQIoHqNmhzYubFI9/740895ZNpTeHnlvTL/3Tp16cGeXVvZsXMXvXv1LNJ9hajI7EqCAgMDJfkRdktISMDb1/btFQA8PL1ITU0r5oiEsE5RVgAqSt0rV65QM7CeVQlQtu49+/Hn/G8kCRKiAHYlQeHh4cUchrifKIpCepp9iYzRaMTRqfzOsjGbzWzevIXTZ87g6OiMWTGjKArRUZF4eXnj6+uHWTFndSMbDQweNJDmzZvne73IyEhWrFiJwWgClQq1So3BoKdxowYMGTLE6hlJr7z6Os4aV9QqFRkZ6aSnp9GieTMmT55EpUqVrLpGcnIyS5YsJTEpBdX/d5mbTEaqVqnMuHFji6W7zWg0sn79ekIvXsbR0QkFBRQFJ0cHRo8eZfM+hbZSq+xfCy0sLJyPP/0cFAVXVxfGjxuLv7+/VXVXrV7L6InTbb5njYA6XLp0SdYrEiIf5ffdRJQ7iqLw66+/ERMbj95oX0vipdBzNG7UqJgjuze279jBwYOH6dq9N1OnPwXAmdOn2L1rOwMHD6fNA+1ytLCazWZ279rB8hUrmTZ1So7Nf1NTU/ly3tdUq16T0eMfzbW/3tUrl/nok89o0awpQ4fmXiPLbDbzy/z5TJ32GD1796FvvwE5ZhTFx8exbs0qXnntDerXq8sLz8/Mdwao2Wzmm2++xYSaQYOH4eOTc2HLuLg4vv/xFzw93Hj8sel2tyKvW7ees+cu0LN3Pzp165vjnE6nY3PIemJu3eD5mc/i6elp1z0KYzTat5K50Wikeo0aTJ76OJA1HmvZyjWkpSTx/Mzncv38/s1gUuyaYt+jd3/WLFsgSZAQ+bBrYPT9QgZGF6/PPvucth270ahRY7799msemfa0zVN5F87/hrdef7ncdceuXbuO5NQM+g8YbDl2+NABIiLCGTe+4MGrZrOZn374hocnjKNevXokJyfzv48+4fEZz+Hm5lZg3b27d2HQpTFhwkM5rvfe+3MZNHQUgYFBBdSG69eusnrVChzV8M47b+VKhMxmM3Pee59hI8dRs2atAq917eoV9uzaxn9fftHmn9+iRYtx0njQrUfPAsulp6fz0/df8eorL+c5W7WoNm7cBBpfGjZpZlO9bZvW0axJQ+rVq5/jeGJiAr//+hPvvP1mvomQoij879N5TJxk3dpL/7bi7/nMeuE5u+oKUV4V68DoadOmAdCuXTtmzJhh+doaKpWK+fPnW11eVEwL//qbNu0606hRYwD69u3H7u2b6N1/cCE1/5GclEiVSj7lLgE6c+YMMbHxDB/5zzYvN2/e4MKF80ydVvgbm1qt5okZz/L1vE958/VX+fSzL3jiqZm4FrJQH0C3Hj3Zvm0ze/fuo1u3rgD88ONPDBoystAECKBO3XoMHT6CfXv38OW8r3jpxdk5zn/3/fcMHTG20AQIoG69+pjMJhb8/gdTpxS+QGa2vXv3oaidCk2AIGs1+yeffp5PP/uC9+a8Y/U9rDVgQH/enfuRzUlQRNhVRgzL3SLn6+vHlP88wWeff8Frr76S/wXks6oQJcKqJGjBggWoVCrS0tKYMWOG5evCZE+RlyTo/mYymYiIjKLfgGGWYw0bNmL7tq3cvBFFjZoBhV7DaDSy+I8fePuN8rW9AsCGjZuYOn1GjmMb169l0pT/WH0NlUrFmHET+ezzz2nZuq1VCVC2Pn0fZP5P39CtW1cyMjJIz9ASGBSMwWDgzz9+A+DRSVPz7e6qX78hO7dvw9XLk/j4eCpXrgxktbpodUZq1Sr855etQYNG7Nu9M2tsl5XdO3v37eM/j1u/nIKrqystWj3AyZMnad26tdX1rKFWq+nc/gH27NhM994PWlVn5dI/6dunb77nfXx8qVylKlFRUQQE5P5eZo+tsodOp8PRURZOFCI/xbfjqRD5CAkJoWv33rmOPznjaULWLOXalYsF1k9PT+PX7z5l9vPPlshaNiXpzp07uHt45vjQoNNljSuxdT+pGjVqcvHSFbp262FzHP5VaxAWFsbSpcsYMDBrET29Xs9r/53Na/+djV5f8C7u/R8ciLOzhsVLllqOLV26jAGDhhVQK2+9+vRnzZo1VpUNCwujarWaNt+ja7cefPzJZ7z//ly++PJL5s2bx1dffUVERITN1/q3Bx/sj6cLbNu0tsByiqKw7O/fqF+nNk2bFdxy9ODAoaxYsTLf826uzmi1Wptj3b55PSNH2P4zEuJ+YXUS9O+hQ4qiFPoQAiD04mVLN9jd1Go1z818gbDL5/n1hy85dGBPjt+b8OtX+OJ/77J9w1LefP2/VK1a9V6GXSxWrVrNoCE5d1Xfv28PPXrlTgoLoygKNWsF2NUd+ODAIazfsJHYuHj87fg+Bteuw507d7hx46blWPydBKpUqWLztWrXqcu1sHCryq5bvyHHOCprqdVqGjdpire3D+lpGQwcNJSHJjzCrl17+PB//+Ps2bM2X/NuY0aPolXTeiz67Vs2rF6KNjPTci41JZllixbw+89f0a1rFzp17lLo9VxcXNDp82/tGTdmNNs2r7M5zoT4mDxbl4QQWaxqjzabzQV+LURBChr8rFKpGDFyFAAnT55g8R8/Zh1HRY2aNahVw58XZj57T+IsCWnpaXh65hyUFxcXS/v2HW2+VmZmJn6+1k1X/zdnZ2dMJhMqtf2Nvw6Ojjg4OLFo0SImTJgARRib5aC2rivMZDLZvQO7p6cXY8aOw9HRka+/nsfoUWMYPiJr4cZFfy8kISGBHj1sb1XL1qF9Ozq0b8eNGzdYtXoZOr2es2fO0bJ1G0YOzz1LrjAqdf7fz1q1apGecofY2zH4V7VutfSNa1fwYL8+NsUgxP1GusNEmdG6dRsee+wJHnvsCaY/9jiDBlm/zk1ZpcpjXRkHtQMms+1byTg4ONg9NiSbuoiDyj08PXFz8yQkJKTI17JGUQbBm0wmHBwccHJy4oUXZrNs+TKSk5IAmDDxEc6fv8D58+eLHGPNmjV55ukZzH5hJi1bNmPiw4/anABB4c919gvPs27FQm5ERxV6rZB1KwmqWYW2bR+wOQ4h7ieSBIkSZzIa7e4eNRoNxRzNveVfpTIxt27lOFazVi3Crl+3+VoajYY7d+LtiiM1NQU3V9cifT8Nej1Gg54ePXty6tRpjEb7EzJr43BzdSU1NcWue2RmZlhakVQqFU888SQrVq6wnJ8w8RHWrbO9i6lAimL398VUSD0HBwfeeftNTh3ZzZ+/fk90VGSO82azmb27trHg569o3qQegwYNtCsOIe4nxZIEhYaGMmvWLAYPHszw4cP573//W+Q+d1FxdOvWhSOHD9hcLzo6isDAwqdel2XDhw9ny6b1OY516NiZQwf323W927duFjqIOS8b169hzJjRNKhfj6tXL9tc/9TJE9SqFWBZPbpT5y4Y9DrCrl+z+VonTxynfbu2VpUdPXoUIRsKHoCcF71ej8O/uv48PT3JzMiwbOisUqnw86tMTEyMzdfPz+DBg9i2dZPN9ZKSEvH1KXxdI7VazVMznuDl2c8Rde0MS/74iSV//szSv35h2cKfaN4omLffeJUunTvZE74Q9x2rkqCtW7fSu3dvevfuzeuvv57j3MaNG2nTpg3z5s1j06ZNrF+/nk8//ZTWrVvz5ZdflkTMopzp0KEDZ8+csrne1s0bGT1qVPEHdA9lLWZoztE6oFarcXd3t7mF4+LFUHr27M7WzbZtxJm1TUkqfn5+DB06lD07t9tUH+DggX3Ext5m+PCsQd6tWrXG0dGRHds223yt40cP0rOndWNxKlWqRFpqis0tiZtCNjBkcO51ebr36Mm+fXstXw8ZOqzAWVm2atCgATeibJ+BtnH9WsaPH2d1eWdnZx4aP56XX3qBl198npdmzeTll2bTsmVLm+8txP3MqiRo+/bt7Nq1i927d9OkSRPLca1Wy/Tp09HpdLlepMxmMy+99BLHjh0r3ohFuaNSqWjXtg27dmyzus65s6epUb1qodsJlAcPjR/HHwt+yXFs+MjRzP/5R6vf3LVaLZs2rGHq1KncjrlJ7O3bVt9/yaI/GTUyK3lxdHSkbt1gjhw+iEaj4c+/l/Hn38sK/D7v27sHD09PPD3dc6xQrdG4UKd2ECdPWP83vn/vblq1bGHTWJ9RI4ezZNGfVpePvX2bWzeiCAzKvY9YvXr1iLxrmrybm1uRuvXy0rtXT9avXWV1+evXrqJxdsDHx6dY4xBCFM6qJOjEiRNAVp/0kCH/fLpatWoVMTExqFQqVCpVjunxKpUKs9nM999/XzKRi3Klf79+KCadVYnQ6VMnCD1/ikmPPnIPIit5AQEB9O/bm99/+9mS9Hh5eTNi5Gi++fqLQt+E01JT+f6bL/jvyy+iVqt56cVZLFvyJzduRBd676WLF9K6ZfMce0eNGzuWm9HhHD1yiH79B9Cv/4B8B6Dv27ObM6dPYtBpmTgh9/YeDz00nrBrlzh27HChsezdvYu01EQGDx5UaNm7NWzYkNYtm7N08cJCy964Ec3fCxfw1FNP5Xne0dERoynnoPTiXs6jY8cO+Ff2ZeP6wtdCunz5Irt2bGHGk08UawxCCOtYtXdY/fr1uXbtGs2aNePMmTOW45MnT+bPP7M+oalUKp588knefPNNVq5cyTPPPINKpaJBgwaEhoaW3DMoQbJ3WPHbum0bR44co3HTFnTu0i1Hi8CZ06c4fHAvDRvWZ+yYMaUYZcm4cuUKS5ctx9+/Og8OGopGoyH29m2WLV2Er58fw4ePwt3Dw1I+Pj6OkA1rMZsMPP3UjBwLRZrNZn76+ReSklLo3W8AQUHBlnMGg4GtW0K4ERXBsKGDadGiRZ7xrF69hvUbQxg+cjTt2nW0/CwUReHwoQPs27uHpKQEOnXsxKg8uiXn//ITs2fPAmDV6tWcPx9K2/adad3mnxlJiqJw5PABzpw+yQOtWzFw4AC7v39nzpxh3fqNVK8ZQP8HB+VY4ToiPIytW0Jwd3Nl0qTJqPNZCiA6OpoTx48z7P+79cxmM78vmM8LL7xgd1z52b//ALt276FOvYb07NUnR0yXLl1k7+7t1KpZg0mPPlLutoIRoqyz9v3bqiSocuXKJCYmMnjwYNau/WeQYv369bl+/TqKoqDRaIiPj7e8UDdr1owLFy78/9iH1GJ4SveeJEEl5+jRo+zavQcHB8es1kOzmVatWtKnT+8K/4YQGRnJqlWrMZmzFxVVcHV1waA33HUMfLy9GD9+HB53JUb/ZjAYWLNmDeERkahU6qxWWRSGDh1CvXr1CozDYDDw5JNP4ujkjIeHFxkZGajUajIy0vFwd6dXr9706tUrz4Ti5s2bnDh+hEce+ae1TlEUdu/ew7Fjx1Gp1ZbtHrp360r79u2L7ed69epV5rz3Pk2aNs+6r9lMzZo1GDhwUL5bf2SbP/8Xxo9/yPI93bVzB0FBAcW+vcbdzp49y+YtW1GrHSwt5Q0b1mfQwIE2byAshLBOsW6gmpKSNYDTdFczcmJiIteuXbN0hXXt2jXHJ9W6dety4cIFyxYBQtytXbt2tGvXrrTDKBWBgYHMnFk8u3o7OTkxxs5WM71ez6+//gpA9I0Ym7YkCdm4nqefztnlpFKp6Nmzh9WDnu1Vr149Bg54kGbNW9m0GrLJZEKbmZkjqQwNvcCIEt5Wonnz5jRv3rxE7yGEsI9VY4KyXxzv7tbati3n2I6uXbvm+DojIwMgx0BKIUTZdOPGDavLRkZG4ubmhouLSwlGVLBRo0axdMkim8bzLF2ymAcH/NMdd/jwQVq0kOREiPuZVUlQo0aNUBSFiIgIZs2axbp163jrrbcsg6EBevbsmaPOxYsXUalU1Kxp++aHQoh7a/XqFdz616KOeYmOjmb1quU88cTj9yCq/Gk0GiZNepTvvvvGqm181q9bi3/VqtSrVx+AEyeOEx4WxuDBtu9LJoSoOKwaE/Thhx/y+uuv59mnrygKtWrVIjw83DJ24PLlyzRq1AiVSsXIkSNZvnx58Ud+D8iYIFGRpaenW7qGkpOT+fXXX9G4uDJkyDA8PT1zlE1JSWHD+rXo9TqeffbZfAce32thYWEs+P132rXtQJeuXXO9Rl28eJHNm0No+0A7unTtSkxMDBs3rKNqVX8efvjhUopaCFHSinVgdFpaGi1btiQsLMzS+nP3vwsWLODRRx+1lH/ttdf43//+h0ql4pNPPmHWrFnF86zuMUmCREV2dxKUlpaGu7s78fHxLF26jLS0NMugXZPZhKeHJ+PGjbWsGF3WHD16lB07dlqm+hsMBsLDw0Glom6dOjg4OGA0GqlevRpjxozB1dW1dAMWQpSoYk2CIKsZ/LHHHmPLli13rXXixTvvvMPzzz9vKZecnExwcDDJyckAXLhwgUaNGhXhqZQeSYJERZZXEiSEEBVBsc4OA6hVqxYhISHExcVx/fp1nJycaNasmWWDwmwajYZTp04BWbNFAgNzr9oqhBBCCFHarE6CslWpUoUqVarke97FxYWgoKAiBSWEKHkajYalS5da/i+EEPcbm5MgIUTF4OjoyNixY0s7DCGEKDVlY4qHEEIIIcQ9Ji1BQtynjEYjq1Zl7XY+cuTIfDdRFUKIikpe9YS4T+l0OsaNGwdkzQ6TJEgIcb+RVz0hRC6KopCcnExycjIeHh74+vqWmQUSS5terychIQGj0Yifn59sDSREOSZJkBDCIi0tjaWLFhMXdZPKnt54e3iSnpnJ7eQ7ePj5MnbiQwXODq3ITp08xZb1G3EyQ1VfPxzUDsQnJ5Jm1NOq/QP0e/BBSRSFKGfKbBLUs2dPdu/ene/5kJAQBty1GWK2BQsW8N1333HhwgWcnZ3p2LEjb7zxBp07dy7JcIUo93Zs28axXfsZ138wVTr1yXU+LSOdZT8vwKdWdSZOeqQUIiwdOp2Oj9//gJZB9ZgxfHyeic7ZS6G8/fKrzJg1kxo1apRClEIIe9iVBM2ZMweAJk2aMGbMmDzLREZGkpSUBECLFi3siw4YPXq0ZVXbu+W1Mevzzz/PvHnzcHV1pX///mi1WrZu3cqWLVtYvnw5I0aMsDsOISqy7du2kx4Zw9MPTcq3jIebO5OHjeHI2VP88etvTJo29R5GWDqMRiNz33qHx4aNw8/bJ99yzRs2pnHd+nzxxVfMePEFqlateu+CFELYzeptM+6mVqtRqVSMHj3astjav40dO5aVK1eiUqkwGo02B5bdEhQWFkZwcHCh5bdt20a/fv2oVKkSBw8epH79rN2iDx48SM+ePXFzcyMsLAwfHx+rY5BtM0RFdve2GR++9jbPTphsdd2Ne3ZQp31LHmjbtqTCKxO+m/cVA1p2pGpl67oADQYDXy37g7c+eL+EIxNCFMTa9+8S68BWFMXyuBc+//xzAN544w1LAgTQqVMnnnzySZKSkpg/f/49iUWI8mZc/0E2lR/YrRfbQ7aUUDRlg16vJzMxxeoECMDJyYkmAXW4cOFCCUYmhCguJZYEhYeHl9Slc8nMzGTHjh0AeXbPZR9bt27dPYtJiLLO2dmZ+fPnM2bYCPy8fGyqq1Kp8HR0JiEhoWSCKwNWrVjBwE49bK7Xv3N3NqxaUwIRCSGKm9Vjgnr37p3r2O7du/M8fuvWLS5fvgxk7SVWFPPnz+fOnTuo1WoaNGjAiBEjcm3KeunSJXQ6HVWqVKFWrVq5rtGmTRsAzpw5Y1cM6enpODg42FVXiLKsVatWeGaa0RsM6A0Gm+p2ataakA0bGTFqZAlFV7rCr1yn14AWpGdk2FzXpNWTnp5eAlEJIaxh9d+fYiWVSqWo1WpFrVYrKpUqx9f/ftx9rnXr1tbeIocePXooQK6Hk5OTMmfOnBxl16xZowAF3svHx0cBlJSUlHzLaLVaJTk52fKIiorKMwZ5yEMe8pCHPORR9h/JyckF5hol0h2mUqks44GeeeYZu67RvXt3/vzzT65du0ZGRgaXLl1i7ty5ODo68tZbbzFv3jxL2bS0NIACFy1zd3cHIDU1Nd8yH374Id7e3pZHQECAXbELIYQQouyzenZYcHAwKpUKgIiICFQqFa6urrkWTss+Xq9ePSZNmsTo0aOLNeAtW7bw4IMP4uPjw82bN3F1deXvv//m4YcfpkuXLuzbty/PerVq1eLGjRvcuHEj33U8dDodOp3O8nVKSgoBAQHcvHlTZoeJCic9Pd0ylfv6riO4u9q28vGuowcJfKAZzZs3L4nwSt0PX3/DmC59cdXY3qX/09qlvPDqyyUQlRDCGikpKdSoUaPQ2WFWjwm6e6Bz9mJhgwYNyneKfEnp378/bdu25dixYxw+fJiePXtapvlmFNB3n90/6OnpmW8ZjUaDRqPJddzd3d3SkiREReTm4oq7jds/XI+9ybiO00sootI3cfIkQv5azvgBQ2yqdynsGs0faC2vGUKUIpPJZFU5uxZL7N69OyqViqZNm9pTvcjq16/PsWPHuHXrFoBloHR0dHSe5dPT00lKSsLX17fAJEiI+9Xe44cZ2D33JIf8RN68QVCDuiUYUemrXr06sWlJmM1mm7bD2HJkPy+980YJRlb+JCcns3Th36TExFvedAwo+NWqzriHJ+S5IK4Q94JdSdCuXbuKOQzbJCYmAv+M82nYsCEajYa4uDhu3LiRazXpEydOAEVbuVqIiuxiTBQtb8dQo2q1QsumZ2Tw97b1vH0fLAg4btLD/PT7Xzw51rptQjYf2E3rzh1kNun/M5vNfP/FV5CUzvCOPfFr4Z3jfFxSAr/970s0VX157JmnLEMuhLhXirR3WEZGhqVF5u6xNP82aVL+S/HbKi4ujr179wL/TH13dXWld+/ehISEsGzZMp5//vkcdZYvXw7A0KFDiy0OIQqjKAr7du/h5JFjKGYFlVpF6/Zt6dqje5Fe7DMzM1m1bAWxN25yPew6mWkZBNetjZeXN1169aBN2wcKvYZer2fV8hWWrzUaZ+ZvXMmYHv1pXKdevvVi4mKZ890XNGvRgu1bttJvQOGbhhqNRtatXkPU9XBQFFQOavoNHkSjxo3yLB8eHs7GVWsx6vWoVCqq1KjOiDGjirzcRjZFUdi7ezenjhzHoNdz9cpV3D3cCQgIQOPmyvCxo6levToAderUoc/wIXy75A8eHzUBJyenfK+5esdm3Gv68+DA3Hsa2spgMLB21WpuRkShmM2oHR3oP3QwDRo0KPK1L1++zJZ1GzAbTajUamoEBTBs5Ih8n5u9zGYzH7zxNmMf6E6Af/U8y1Tx8eM/D47ganQkH7/7Pi+//YYkQvdQWloaK5csIyn+DoDl979atcI/DFUUdm2bATB37lw++ugjq+biW9s3l+3AgQPExsYydOjQHJ+owsPDeeSRR9i/fz/Dhg1jzZp/FiQraNuMXr164erqKttmiHvCZDLxxy+/cft6BB3rNKZdw2aWGZPHLp3nUFgo/rUDmTR9qk0tBrdu3eLv+QswJ6djTM9EpVLTu21HmtXJemNUFIXtJw4RGneD2s0bMXbCQ7neUBITE/njx18wJqXRo1Er2k0dBcDNdfvZffYYO84ew8fPly4tH6B3hy6o1WoUReHQqRNs27OT4MrVmNB3ME6OTpy9fpldoafwrlmVKU9Mz5WkJCcn88dP89HfSaZ/8/bUrRVo+f5sPn6Aq4m3ad6xLYOHZX042b1jJ4e276aWuw+D23fH+f/flG/ExrD+xAEUDxcenj7F7n25jEYjf/zyK3HhUXSs3Zi2d/1cjlw4w8GzJ/Hx8MTZ3ZU7Ri29hwygXccOWTHcuMGShX+B1sDQrr0tLWap6Wms3bWNJH0G/QYNpPUDbeyKLVtiYiJ//jQfQ2IqA1t1JLh6LUvsm47tJzwlnpad2/PgYNtW+AbYvH4jpw4eobZXZQa07YKjY9Zn4PBb0Ww6fQgHbw8mPTEdX1/fIj2HbD98+TU9azUksKp1G8pejg7nZPItpj75WLHcX+QvIiKCpb8vxEVnZlj77lTx8QMgQ5vJ2sO7idNn5Pj9L4+sff+2Kwn66quvcrW25Lrw/7+4qFQqm5OgBQsWMHXqVKpVq0abNm3w8fEhIiKC48ePo9Vqadq0KTt27MDf3z9HvewNVN3c3OjXrx96vZ6tW7eiKIpdG6hKEiRspdVq+fCNd3i4Qx9q+ef/aepm3G3+OLiV1+a+a1ULx7kzZ1n/xyImdO3Pj6sX89ToR/Dz8s63/MXIMDZfPsnL77xhSbTCw8JZ8OW3PDd4PC4aDemZGfgP7AhAbMghy+ywA+dPsScilCrV/Dl28DCBXpXp2rINXZs/kOen9ISUZH7YtooX333T8iEjOjqanz/+kmcGjS1w1tnRi+c4k3ILD09PKuvU9GnVPt+yeoOB70KWMWr6JBo1blzo9+xumZmZfPjGO0zq1I8aVfJPoqJjY/gzZDUvPDSVracO4xBQmTETxue4zppVq4mLiQHAxc2NEaNH5Zola4+I8AgWfPktzwwaW+CMtIMXTnNZm8CMF56z+trffT6Phq6V6NSkZb5lMnVavglZxpTnnyYoKMim2P8tIyODn+d+ymMDRtlU7/uNy3huzhvF3iol/nHs8BH2rNrAY/1HFvghbO2h3TgF+TP6oXH3MLriU6JJUOPGjbl06ZIl0SmIPUlQaGgoX3/9NYcPHyYqKorExETc3d1p3LgxY8eOZcaMGbi6uuZZd8GCBXzzzTeEhobi7OxMx44defPNN+ncubNNMYAkQcI2ZrOZ9199g+ndBuPjWfjvS3JaKj/tXs+b/3u/wC6lqKgo/v7qBx7vP4pP//qFFx+ejsbZudDr34iNYc3Fo7z45mskJCTwzZyPmD3iYUsiYzAa+HVdVpfYtKGjcXL8543n9PXLzN+6mldGTS4wacim1en4YuNi3vhoLlqtls/feo+XRjxq1YDi89evsHrvNl6fPKPQsoqi8NW6xUye/Uy+S138m9ls5t3/vsaTPYfh7VH4xIik1BR+XLWYlx6Zzs7TR3GoW41BQ22bIWarhIQEvp7zP2YPf9iq79nZsCuc18Yz7cnHCy376w8/0tSlCs1r1y+0rNls5rM1f/Hc268WqUXo919+pVvlOlSrVNmmemE3o7igpDD2ofGFFxY2u3zpEpt+X8L0B61b5X3riUM416/BwCGDSziy4leiSZCLiwuG/19i/z//+Q8DBw7E29s736yyR48ett6iTJAkSNgiZN0G/OK1NK9j/biN82FXifNzYtCw/N9kP3n7PWb0HMairevp264LVf0qWX39LccPUKdPR7at38TU9n2tSp6y/bhqEWN6D6SSt49V5W/diWN/YgTJCYlMaNEVN5e8P6jkZdGW9fR8oAPVKxXeomIymfhhzzpeeudNq669btVqaqSqaBxUx+p4Tl+5SFxSAn3bdebrDUuY/cE7lu6jkvDlhx8z6YHeuOSxREd+/ty+gdHPTady5fwTjbi4OFZ+/QuP9rE+idPqdPx5YiczX3nJ6jr/9tnb7zOj7wi76v6wYw2z3n7d7nuL/P3v9bd5tt9om8ZdfbNhKbM/fKfcDfYv0V3k/fyy+g8feOABfvrpJ0aOHEnv3r3p0aNHng8h7gdnDx+zKQECaFq7HueOHM/3fEJCAp6KIyqVivikRJsSIIC+rTuyftlKVGlamxIggAn9h7Jmzzary1evVIUbl66hjUu0KQECGNGjL2v3bLeqrIODA25GFSkpKVaVDz1+2qYECKBl/Uacu5a1/+GAlh3YsGatTfVtodPpMKdk2JQAAYzs1Iulf/5VYJllf/7NyE7WL30A4KLRYExKQ6/X21Tvbo7YP7hZbdcoVVGYqKgoarh62zzwvH+L9mxcW3E3H7crCRo4cCCKopToJyMhypPo6GhquNjXWljT1ZvIyMg8zy3/azEjOvbk+MVztGts+8rMarWaG1fCGNwmd3ewyWRiz8mj7Dl5NM8uay93D9Iybds8tEWNYAI9besCAXDVuKA3GgrtXs82vENPVixaUmi5sLAwAtzt69ap5V+Nm3G3qV8rmCunztl1DWusXr6SIW262FzPw82NtJg7BZZJux2Ph42LYAIMadOF1ctX2lyvOKhUJbKb031v9aKlDO1ge6NEg4BgLp6wb/Px8sCu37a3334bb29vjh49mmOGlhD3q4sXLtAk0LbWhmxNAupwKTQ0z3OZKal4uXsQGn6dFvXynlJeGFcnpzwHaWv1Oga+8B8GvvAftPq8l7hwd3HFYLR+d/k29ZuQqrVv93Q/L29SM6yr6+flTWpCUqHlLoWG0tTen0vtelyNzkpOnZSSm7Yde+NmgYPoC+Lu6Jzv8iRarRYPJ/uWFQioWp2YqLwXn7WGAbPddY1FqCvyZ9YZbG4NzuZUgX8kdjXlLFiwgE6dOrFp0yZGjRpF165dad26taWb7N/eeuutIgUpREHCwsLYuGI1Jp0elVqNh68PoyeOv6fjuDLTM3F1tq07I5urRkNmej4tLv/fMKLVa3Gx8wXMUW1/i63G2RmtXp9j0HRBXDUuaAtYM6ywupk6HV7uVq4ebEWrkTYjE1dn+34PXDUuZOq1Vt/LXmaz/e8wrs4aMjMz89zuR6vV2v07CVjdKpeXes2bcCUqnPoBwTbVO3n5Aq065z9DUBRBUX6HS/D3v7TZ9er4zjvvoFKpLLPD9u3bl+/GpSBJkCgZe3bs4tDWHdRy9uKRVp0t68okpCbz5/ufk+HiwJgpD1O7jn0tAbbwrexHQuhNgqrXLLzwvySkJuPbIO+WAOX/++99PLxISE3G39e2MUEAGTqtZbkKW6VlZOBhw8aqCSnJ1icx/5KUmoKPFbO3sinqwp+PTyU/7ly/Q007WloSUpLw9fCy+l72UqnVNm/NkS0lMz3fZN/T05PkjDS7YjKbzajsiCfbkBHD+eKNOTYnQXsvn+G/096z+74if0oRFqFUivC7UNYV+ZkV9MJalE8SQhRk4fzfSDx8nme7DGVkux6WBAjAz9Obad0H81Tb/qz97jeOHjpU4vG0a9+ew9fz7tIqzKGrF2jfIe9FyRq3bs7Z65fp+UAHthzO/4NGQRzcXdl1+phddXUGvU3JU8ixfZjtfFVJzUi3urn++KXztGxf+MrYHTt14uDV83bFc+jcKVo1aILRaMSkKbnxj9379Wbn6aN21dU7qvJNnhwcHNA72vfGt/3UYXo+2NeuugCOjo4Et2jC0UvWj6Xac/Y4zTq1kxWjS0iNusFE3Lphcz2D0YDZpeKO/7U7CVIUpdCHECVh1ZJl+Cea6N+84GZztVrN4z2HcWhFCJcvXirRmDQaDSovN/QG68fPQNYCgCovtzy7MwD6DXiQ3RdPU8XHj/ikRJv/ru4kJ9GsXWvOxUTYVA/g7LXLNKmd/xYa/6YoCumOCrf1to8JuhYdSZ0aAVaX33/1HD169Sq0nIuLC4qHxqZxTQC6/9+yw9nJiZCj+xg6brRN9W3RqnVrLtyOsrleaMR1mrYreIXqJm1bcTEizOZrX4y7QYuW+S+saI2xEx/iUmYCh0ILH1S7+8xxYp1NDBkxvEj3FPkbMWYUG08dtLleyNH9DH9obAlEVDbYlQSFhYVZ/bh+/XpxxyzuY3q9nuuHT9GtkfUv0P/pPpjVv/9dglFlGTlxHIv3bLKpzpI9mxkxIf8XGLVaTZXaAYTdiqZbq7ZsPrTXpuv/tXsTYx+eQL2WzTj9/1O+raEoCvPXL6dP205W1wk5uo/eQwbSrMMDHL1ofQuAoigs2xHCwE7drSp/JTqCmo3qWt1iMPyhsSzds9XqeAAWbVnH0K690en1XEq4VSx7dhWkQZvmnLpmfaKuKAprj+1lwJCCt88YOHQIa47vsSl5Pnn1Ig3bFM9m048/+xQpvhq+2rCEY//6nVAUhQPnTjJv/RIIqsSk6dOK5Z4ib87OzrhVrcSt+Fir6+j0eq4kxlCvnvUfhsobu5KgoKAgmx5CFJdVS5czpJlt+9moVCr8HVy5ccP2pmBbBAcHU6NVYzYfP2BV+S3HD1CtZUNq165dYLkpT0xn1ZkD1KjsT0JqMkfOn7bq+kv2bKbb8Afx8vJi9ENjOXDzMldv5D0V/26KovDt+qX0Hj2E5fusWyfoUOgZMnxdaNu+HYOHDeV08k1CIwv/AKQoCt+vX0qqSW/VmJjouBg2XDzGI1OnWBUXQN26danSrB5bT1j3KXjTwT1Uq1SFapUq88W6RTz939lW38teI8eO4VDMVa5EF95ipygK329cxsSnphe6gJ2DgwMTZ0zn+43LrEqErkRHcCT2OiPGFF/L14ixo/nvh3NQ6lXlh13r+HnnOn7ZtZ4f96zHvUUdXvnfHAYOKdkVuUWWx597mj8ObiU+KbHQsnqD4Z79/pcmuzdQ/TdFUcjMzMTNjjUpyipZMbrs+eSVt3im61Cb62XqtCy6fpSnX5pVAlHlFLJ+A+f3HGJsl76WjQnvFp+UyLL922jcrb3V2zGYTCY+/+AjApw8yUxLJ12byZjeA/IchBwdG8PygzvoNWoInbr+s/6Moih89/k8PDJMDO3QA7VazbcrFgLw9OhHcHZy4nJUOCuP7OaRpx+jQcOG7N+zh92rNzK2U588Bxcnp6WyfP92qjSuzUOPPpLjXj99/R2OCemM6Nwrz72wrkVHsuLILsZOn4yHlye/fPYVQ1t3oVmd3Ns76A0GNh7ZS4ySyfOvvmzXIOINa9Zycf8xxnbpS2Wf3GsHxSUlsHTbRhoG1cHXy5stF47x7Gsv59qjsKQoisL3X3yFW7qBYR165rl44uWocFYd3c3EGdNp2Mj6JRMuhoay6If5jGrfg/q1gnOd1+p0rD28iwwPJ2Y8/5yMy6nA9Ho9n733AQ28q9K/TadcibSiKBy/dIGtocd47vX/Fsu+eKWhRLfNyBYWFsZHH31ESEiI5VO20Wjkxx9/5Pbt2zg4OPDaa6+V2z8oSYLKnnkvv83j3e371Pjz8W089/arxRxR3tLS0li6cBGxYZH4atzwdHEjVZtBoi6DqnUCGfvwBDw8bJ9FdfXqVdYuWU7q7XhiY27j7uJKjcr+eLi6k6rLQOekIqhJA0aNG5vvOKOoqChW/b0E3Z1k/Nw8cXFyJiE9lUyVicZtWzFo2NAcL4xarZaVS5cRFXoVTwdnfNw8SNdpSdCm4V2jKuMenZjv8hg3b95kxV+L0cYn4uvqiauTM4kZqaRjon6rZgwbOcKy6KrZbGZLyCZOHziCm6LG190TvdHInfRUHH08GP7QGOoUcaZfamoqy/5aRGxYFJ5qZzQOjiSnpXAzLhaj2UTN6jXA3YUOvbvRvWfPUnntio6OZuVfi9ElJOPnmvPn0+iBlgwePsyuLQyMRiMb1q7j0vHTuCoO+Ll7ojXoSchMRePnzaiHH6JWrVol8IxEWXTh/AU2rliNKl1HJQ9PHFRqEtJS0Tmp6NinO9169Ci3791wD5KgTZs2MX78eNLS0izNrNmbpb7//vu89dZbqFQqQkJC6N+/v33PopRJElT2zHvpLR7vYXtLEMBPR7cw8917uydRdgtpamoqnp6euLq6FssLi9lsJiUlBZ1Oh5OTEwaDAS8vr3w3Fs7vGmlpaWi1Wry9vfNNmu6WmZlJSkoK7u7uuLu7W/1cFEUhNTWVzMxMfHx8Cr2XXq8nKSkJZ2dnvLy87Gr5KSyejIwM0tLScHNzw2AwYDKZ8PHxKTM7mNvz87GWTqcjOTkZFxcXPDw8iv37K8oPk8lESkoKRqOxTP3+F5W17992zXuLiIhg3LhxpKWl5VgvKNtDDz1kWRto/fr15TYJEmWPuZytdaFSqXBzcyv2bmK1Wo2Pj0+RrqEoCpcuZQ3GbdOm4FlG2VxdXW1KtLKpVCq8vLys/jDh7Oxcot1QKpXKksiVVWq12qbvmS00Gs096+YTZZuDgwO+vvZtLVMR2JUEffbZZ5YEyMPDA0dHRxIT/xloVa9ePQICAoiOjubQPVijRdw/jK5OmEwmm7sDLkaHU7dF4xKKqnzSarW0b5+1zEBaWlqZTgiEEKIk2PXRePPmzUDWGhynTp2id+/cuxQ3bNgQRVFkirwoVkMfGs2m04dtrrf18kkGDbOvG00IIUTFZFcSFBUVhUqlolu3bvlO781uMk9JSbE/OiH+pVHjxlxIvoXOoLe6Tvjtm1SqG2jXYFIhhBAVl11JUPabSUEb/4WHhwNUqCnzomx45vWX+XzLMqtWZ76ZEMfyS4eZOuPxexCZEEKI8sSuJCggIABFUTh48CCxsblXn9yxYwdnz55FpVIRHBxc1BiFyMHPz49n57zOZztXcvDSmTwXgdMbDKw8sovV4ad47cP3ZPaLEEKIXOwaGN2rVy8uXrxIRkYGnTrlXGxp+vTpLFq0KEdZIYpblSpVeHfeJxzaf4BvQ0JwyNDj7eKGwWQi1aDFqbI3w6eOK3Q1ZiGEEPcvu9YJunTpEi1atMBoNKIoSo4p8nf/39nZmbNnz1K/fu4VYMsDWSeo/Mheh8bJycmuKdz3o/T0dMuCjTI7TAhRkZToOkENGzbkq6++4qmnnrIslvbvRdNUKhVffvlluU2ARPmSvQ6NsJ6TkxNvv/225f9CCHG/KdK2GZs3b+b111/nxIkTOY63bt2a9957j0GDCt7huKyTliAhhBCi/Lkne4dli42NJSIia/fjwMBAqlatWtRLlgmSBAkhhBDlT4l2h/2bv7+/LMEuRDljNpsJDQ0FoHHjxjKDTghx3ylyEhQZGcmtW7fQ6XT5lunevXtRbyOEKGaZmZk0a9YMkIHRQoj7k91J0MKFC3n77bctiyLmR6VSYTQa7b2NEEIIIUSJsCsJWrRoEZMmTcq1e7wQQgghRHlh1yCAjz/+uLjjEEIIIYS4p+xqCbp48aJlXaCxY8fSvXt3y6JrQgghhBDlgV1JkK+vL7dv36Zz584sWbKkuGMSQgghhChxdnWHjRgxAkVRSEtLK+54hBBCCCHuCbuSoLlz51KnTh3OnDnDzJkzuX37dnHHJYQoYU5OTrz44ou8+OKLsm2GEOK+ZPeK0ZcuXaJNmzZotVoAfHx88Pb2zn0DlYpr164VLcpSIitGCyGEEOVPia4YHRERQZ8+fdBqtZYp8omJiSQmJuYq+++NVUXpS0tLY9eWbcTH3Eaj0dCgeVPatGsrP6s8mEwmdm/bwY3wSBRFoVbtIHr07Y2Dg0Nph1asMjIy2LFpi+V3ol7TxjRv1ZLd27YTE3UDR0dHgurXpUuP7gX+nmRkZLBz81bibsWg0Wio07ghdRvUZ+/WHSQlJODu4UGL9g/QqHHjQmMymUzs2b6T6LAIFEWhZnAgPfr2xtHxn5eto0eOsOrPRSQnJOHl68OQ8aPp0q2rzc8/IiKCo3v2k5KUjLevD+17dCUgIKDAOlqtlp2btxJ78xZOTk7UblSfjl26yN+REOWIXS1B48ePZ9myZTn+2PO7jEqlwmQy2R/h/7tz5w6NGzcmLi6OunXrcvXq1XzLLliwgO+++44LFy7g7OxMx44deeONN+jcubNN96xoLUGXQi+y7re/0cSm0adKfaq4e6E3GTmfcINThjtUbdWQ8dMm4eLiUtqhlrr4+HiW/DCfzOu36O4VRKB3ZQCikuPZkxKJS51qjH/yP1SuXLmUI7Wf2Wxm985dbFu+hioZavpXqU8VD2/0JiNnb0ew+copqrp6MqF1D5wdHLmadJuD6TfxbhzEhMen5fibuHb1Kqt/WYjj7RT6VqqLv4cPBpOJc7cj2HzlJNXcvRnfMmvl+BN3IrjikEGdTq0ZOXF8ru067ty5w+IffiXz+k26ewYS6F0ZFSqiUuLZnRyBc3BVEjPSuHn0HB2q1KZXnWZ4aFxJ0Waw5cpJTtyJol63drz07hsFJiSKorBl3QbObNtHzUwHOlepg6fGlRRdJvtjr3HLzUybgb3oM/DBHPXCw8JZ9csfcDORvn51qerpg9Fk5kpSDIczb+HXtC4PPTZFZswKUYpKdAPVSpUqkZSUhKIouLm50bBhQzw8PPLde2jnzp223iKXKVOm8Mcff6AoSoFJ0PPPP8+8efNwdXWlf//+aLVatm/fjqIoLF++nBEjRlh9z4qUBK1dtIyEbccYV7cdDuq8WzFiUhP55cZRnvtkDlWqVLnHEZYdZ06cZOMX83m8fhfcnfNOCNP1Wn6+sp8Bz0+j5QNt7nGExWPFn38zZtLDANx59+88n2tsWhI/HtrEEx0H4O/hA0BSZjrfX9vP5HdfonbdOmxetY7IdXuZWLc9jvm0kMWlJfPjoU1M79Cfap6+AFxNuMWy1Cv89/MPcHV1BeDcqdOs++xnHq/XGQ+Na57XytDr+Hr/Oh5s2IZWNerkWWbP9XP8ce0w80NW4uzsnOu8yWTis9ffpUumN22r530NgIM3rnDCW8vzc95ArVazY+NmLi7dwqT6HXFyyLshPSEjlR/CDjJ97msEBBbcmiSEKBklmgT5+PiQmppKUFAQp06dKvEEYfv27fTt25fHH3+cn376Kd8kaNu2bfTr149KlSpx8OBB6tevD8DBgwfp2bMnbm5uhIWF4ePjY9V9K0oStGnVWnRbTzEgsHmhZfVGA59c2cl/v/v0vtxL6urlK6x9/xuebtLTqvLfhe5m6OtPU69B/ZINrJhtWx/C7VV7eeTXD4H8kyAAg8nIRztX8Hy3YZbExGw281nodpoM6oFh13lG1G5d6D2NJhMf7VrBM10G4+2S9buVrE3nu5jjvPntp0SEhbNyzjyeadzTqi6lHw+G0LteS+pXqZHn+avxN/nfyU38sW1trlbrj195izEOQdTyqlTofcKSYtnkHEf73t25/tcmxtZtV2gdk9nEJ6HbeXbeXPz8/AotL4QoXta+f9s1O6xz584oikKdOnVKPDnIzMzkiSeeoEmTJrz44osFlv38888BeOONNywJEECnTp148sknSUpKYv78+SUab1mj1Wo5u3qbVQkQgLOjE8/V6cb8T+aVcGRl09LPf+Cpxj2sLj+jUXeWfv59CUZU/PR6PSeWbWRgkHW/E04OjrzQfTgLjm23HFOr1TzfqBfrv11gVQIE4OjgwKzuw/nj2A7LMW8XdyZ4N2bxr3+w5PPvebpRD6vH1DzecQCrzx/K93y9yjUYVasFX3/0WY7ju7ftoH2Gh1UJEEBtH38axqtY9Om3ViVAAA5qB15o2Itf//elVeWFEKXDriTogw8+QKPRcPDgQY4cOVLcMeXw7rvvcv36dX744YcCp/FmZmayY0fWi+uYMWNync8+tm7dupIJtIxa8eciRtdoYVMdT40rxohYDAZDCUVVNl26eJEGZnebBraqVCoaKp5cunixBCMrXqv/XsKI6s1squPu7IIKFTrjP78TTg6OtKkSzJ30VKuv4+qkwcnBkQy9znIs2LcKV/cepY7RNd8u9byoVCqaVwviwu3IfMsMaNiGU5t25Th2ZP1WOtdsYPV9AHoFNMYz07ZGc42jE25x6aSkpNhUTwhx79iVBK1du5auXbuSmZlJly5dGDhwILNnz2bOnDl5Pux15swZPvvsM6ZOnUq3bt0KLHvp0iV0Oh1VqlShVq1auc63adPGcs37yY1j56jpbd0n3rsN8m/M2sXLSyCismvD70sYGGRbwggwILA5G34vPyunhx8+TZCPv831hjXtwNoLh3McG9+yK6vOH7TpOiOadczVgtPauQo1nWwfSNyvQSu2XTmd73m1Wk0Tz6qcOH4CgJiYGPxTbV8VRKVSEeTrb1PCBzCiVkuWzv/D5vsJIe4Nu6bIv/POO6hUKsvMry1btrBly5Z8y7/11ls238NsNjN9+nR8fHys2rA1MjLr02BeCRCAu7s7Pj4+JCYmkpqaiqenZ64yOp0One6fT6jl/ROcoihotPbNzKvt68/WKxeKOaKyzTFdj6O37VPfHR0ccEzXl0BEJUOTad/vRIBPZTaE5kwCvFzcMNo4+7Oapy8p2owcx3oGN2XhiV20C7CthcZB7YBzPgOUs3UMbEjI6rW0eaANp48dp61voE33yNamZh1CY6PoWruJ1XUquXuSeTvMrvsJIUqeXS1BdytsCqq9vv76a44ePconn3xCpUqFt2Rkb+Hh5uaWb5nsgb6pqXl/mvvwww/x9va2PApbJ6SsMxgMOBXhR6wYi760QXmiFGEpB8VoLMZISo6iKKjM9v9d5vU3XZS/82waRyf0Rvu6Xwu7v6fGldTEJADSklNwc9bYdR93Z1cy9Fqb65nvs78jIcoTu98hFUUp9GGvyMhI3njjDXr06MGUKVPsvo6tXn31VZKTky2PqKioe3bvkuDs7Iwes931VU52NRSWX45F+EzgWD4WT1SpVJjVWR9cHNUOPNFxAE90HIBjPssmlJR/vz5k6HW4OOWeyl4ckjLT8f3/JR+8/fxI1WXadZ0UbTqeLvl/yMqPqpz8bghxP7LrXS4srGSbd59++mn0ej0//PCD1XWyFybLyMjIt0x6ejpAnl1hABqNBo3Gvk+JZZXew743lrOxkTToZfv4mPJM7edJpkGHq5NtvwNagx6VX/lZTkDvmTXBQOPoxLzhj1td72JsNEG+OccS3U5NwtMl7/V88nPtTgzVvXJOG99w5Thta9Wz6TqQtaSDuZAPXLvCzvHoS1ljE9t17sjfS7fSyD/vbvOCHIm8zCMP9LKpTnRyPJXr2df9JoQoeXYlQUFBQcUdRw7r16/Hx8eHJ598Msfx7H3Kbty4Qc+ePQFYvHgx1apVIzAw64UmOjo6z2ump6eTlJSEr69vvklQRdSwe3uuHLtJ/Up5r6WSn53J4cwe/GwJRVU2jZo+ibVvf8P4eu1tqrc24hSj3nm6hKIqfs16d+XCvgiaVLEtEdhy+SRPdx6U49iS03v5T/t+Nl0n5OIxnug4IMexcBcDxvTbNCfYpmutCz3KkCb5T1s3mIyEG5KpUydrQURvb2/S/FyyugVtmAVoMpuITk3Idy2lfOOLCeXJtz+wqY4Q4t4p8pigkpKUlMTu3btzPA4fzpqZotVqLceyE6OGDRui0WiIi4vjxo0bua534kTW7JAWLe6v1o3Bo0ew+rZtA5xvpibg06S2TdOVK4KaNWtyw81s09gUvdFAtKsp3wH5ZdGA4UNYH38RRVGIS0smLi250O7r26lJuDlrcqw2nqrL5GzSTdxsaDmLT0/B2cExx2rLp2IjaNW/OzEe5JiCXxiDycj1OzG5Wqfutvj0XvpPGp/jWN8JI9kYbtss0TXXT6L3cbGpmz8pMx2HoMqyDY0QZViR3uUiIiL4448/+Oijj/KdHm/PFPn8xhhld8PVrVvXciw4OBgAV1dXevfuDcCyZctyXXP58qzp3kOHDrXz2ZZPjo6ODHxqMn9etm4ac2JmGgvizzDt+fLTslGcHnvrJT6/uBOTufDBrCazic8v7mT6Wy/dg8iKj1qtZuiz0/jx/G4C5k4lYO5UMgy6fMsna9P5+fBmpjzQx3JMa9Az7/penv3kXX65tM+q+6bqMvn+4EamtP3nOhHJcexxTmTI2FE8/tbLfH5xp1WzzUxmE5/vWc3ktr3zLbM/7AKnSGTC5EdyHG/d9gHuNPDjdFz+6wvd7WjMdfStAnlq7ht8f3GPVYlQhl7HN5EHeOyVWVbdQwhROuzaNsNkMvHkk0/y22+/WfWCUBwbqAKEh4dTu3Ztu7bN6NWrF66urvflthkAh/bsY/fPi5lcpwO+rrnXY1EUhWMx19lhusXLn869rz+93rx5kx9eeY+J1VtRO59WhrDE2/x96zRPfPgGNWvWvMcRFo+9O3bRvU/WGJf8ts04Hn2VTZdOMKv7cMtYqQtx0axMvMjsz+fi4+PDyaPHCJn3G5Nrt6eye95/J6duXmf9haO80H047s4umM1mtkee50oVFTPffd3S6njr1i2+f2UOD1VtQV2/anleKzzhNvP2reX5rsMJ8sv989EbDSw8uYvzTml8vej3fLu9fp33LZozNxhRp02ee54ZTEZWXDuOqm0dJj2VNXbq3KnTrPr0RyYHtaOqp0+e1z0XG8malKu89MUH91XXuxBlSYnuHfb222/z3nvv/XORfF5ksvvd71USBP9soOrm5ka/fv3Q6/Vs3br1vt9AFSA5OZml838n4fx1mjr6UdnZDZ3JyDVtIne81LQf0o/ufXrZNFaiojIYDKxZtIzrB08QYNAQoPFGBUTpkoly1lO7Y2uGTxhb4CrmZV16erplQsGcSU/RSuNPZY07OpOR8wk3OB0TTpBXJXoGNMGMQpg2iRhXE017d2HA8CE43JU4pKamsuy3P4k7c4VGam/8NR7ozUbOxUVz5nY4db2r0i2wEZkmA5e0CaRXdqXP+BG0bvtArrgMBgPrlq7g2oET1NI5Wb730boUIp11BLVvgU81f5Z++QO1VO50DWiIp4sbSZnp7IsM5YaSyUMvPEn/gQNyXfvfLl+6xPrfF+NwK5mmLpXxdNKQatBxVhsHNXwZPu0R6tTNucFqeno6yxYs5PapSzRUeVFV44HBbCRcm8Rtd2jRtyv9hgy677qThShLSjQJqlOnDuHh4ahUqkJbgu51EgSwYMECvvnmG0JDQ3F2dqZjx468+eabdO7c2ab7VbQkKJuiKFy+fJn4uDg0Li4EBwdTuXLl0g6rzIqKirKMM6tZs2a5Xz8q291JUGpqKjdv3iQuNjbH78T169e5HXMbB0cHAgICqF69eoHXVBSFq1evEhcbi7NGQ1BQEL6+vly6dInEOwl4eHnatOdgdHQ0N27cQDEr1KhZwzIBIltSUhLbtm0j7tZtqlSvSu/eve3asDQzM5MrV66QkpSMl483DRo0KLQ1VFEUrl27Ruzt2zg5OxMYGEjVqlVtvrcQoviVaBLk4uKCwWBApVIxZ84cBg4ciLe3d45Phncr6dlkJaWiJkFCQM4kKC0tzbKYqBBClHfWvn/bNUW+WrVqREVF0aVLF1577TW7gxRCCCGEKC12dVqPGDECRVHy3X5CCCGEEKKssysJevPNN6lVqxanT59m3rx5xR2TEOIecHR0ZPLkyUyePBlHx/tsixQhhMDOMUHTpk3jypUr7N+/H5VKRWBgIC1btsxzQKJKpWL+/PnFEuy9JmOChBBCiPKnRAdGq9VqyzTq7Op5Tasu7iny95okQUIIIUT5U6IDo+8ma8oIUT4pimLZcNjNzU3+loUQ9x27kyA7GpCEEGVIRkaGTJEXQtzX7EqCzGZzccchhBBCCHFPybruQgghhLgvSRIkhBBCiPuSXd1hc+bMsaqcs7Mz1apVo2fPngQHB9tzKyGEEEKIEmFXEvTOO+/YNJNEpVLxyCOP8MMPPxS6KaEQQgghxL1QpO4wRVHynCWWfTz7nNls5s8//2TcuHFFuZ0QQgghRLEp0hT5fy+YmO3u49nnFEVhw4YNbNy4kUGDBtl7WyFEMXFwcGDMmDGW/wshxP3GrpagsLAwpk2bhqIoNGvWjIULF3Lq1ClOnTrFwoULadasGQAzZsxg+/btPPjgg5a6f/31V/FELoQoEhcXF5YtW8ayZcukm1oIcV+ya9uMlStXMmbMGPz9/bl06RLe3t45zicmJtKoUSPi4+NZtWoVgwYNom7dukRFRVGvXj0uX75cbE+gJMm2GUIIIUT5Y+37t10tQZ999hkArVq1ypUAAfj6+tK6dWsUReHjjz/G0dGRAQMGAHDr1i17bimEEEIIUazsGhN05swZVCoV586dIzMzE1dX1xzn9Xo9Fy5cAOD06dMAVKtWDQCDwVCUeMu1E0eOsmPBUjSJWjCaURzVGKt4MuiJR2jUtElph2eXxMREln07n/SLkTjqTaBSYXBzonbv9nj5+nBy9VY0aQYwmTE7q1EHVGbkM/+hVq1aRb53ZEQkq7/9FSX6DmqDGRzU6DydaD9uMN369rZrLyxFUTi0Zx/7/16NJkWf9XNycsBUzYvhT0+lTt26Vl3nxJGj7FywDOfEzDL7s05PTy8z22bcvHmTFV//gjkyDrU+62ep93Ci1cj++NeszpZfFuF0Jx2V0YTiqMbg506//zxEizatSy3msio5OZll3/9K6rkwy9+k0c2RwB5tGfbweJycnLh65QrrvluAw+1UVAYjODqg89LQ/dHRtO/aqbSfghD3jF3dYX5+fiQnJwPQtWtX3njjDZo3b45KpeLixYt88MEHbN26FQAfHx8SEhJ47rnn+Oabb6hRowbR0dHF+yxKSHF1h104fZZVc7+hXYorvTyDcrw5G80mNqWFcd7PxKT/vUpAYGBxhF7iDAYD374yB9cLMYzW1MHH+Z9EeF/cNXbFXaNP1QZ0qhSco57WZGB1+jWia7ny1Ofv2vV9TUxM5IfZ7xB0U89w97poHP7J5RVF4UjaTfa5JdPtqYl07tPT6useP3CYLZ//Sqc0d7p4BuT4ORnMJtalXuNKVTXTP3mTqlWr5nmNgn7WJsVMSOp1zvuZePTDVwgMCrL5uRenspAEpaam8t3st6kekc5Ij7q4OjjnOH8kMZL1t87Ts1JdeldtYDluVsxsSwnnhI+O8e/Oon6jhvc69DLHZDLx3evv43gmmtHOwfg55/x5Xs+4w2pTFFfT4ujvHsRgj7o4qf8ZEK8oCvtSIznomc6glx6nVfu29/opCFFsrH3/tisJGjlyJGvWrCnwk3b27LERI0awYsUKhgwZQkhICB07dmT//v223rJUFEcSdHz/IQ7Pnc9j7k0K/H6ZFDNfpJ1mzJevU69hg3zLlQUGg4H3pzzDE2m18Nd45ji3OSaUDKOBkbVaFHiNTJOeTwzneeH3L/H19bX63nFxcXwz9UVe0jTDxcGpwLLL0q9QadqD9B89rNDr7tm0jWtfLedRj0YFljOYTXySeZr//PgBNf/VmnX8wGEOvf8zj7s3LfRn/WX6GUZ/8Vqp/qxLOwlKTk7m00kzedGhMe6OmgLLrr1xFgeVmsE1muY4rigK36adpc/cZ2l+H7cKGY1G5v5nJlMTq1LDpeDXqiN3wjmbHMN/6nTMt8yCtFCazJ5g04cIIcqSEh0T9MEHH1hePCHnukB351Tu7u7MnTuXjIwMdu7ciaIo9OjRw55blkuxsbHsmvsjj3sU/KYI4KBSM9ujFX+9OJfMzMx7FKF9vnrxLZ5MC8iVAJ1LvsUdXUahCRD8X3v3Hd5U9f8B/H2TJulOF92FQhcgpSBQ9ioUKBvKUJCp8GXIEH9fRWSpILIFQdmgIMpGRhFBlhRUhsguYAu0hZbukc4k5/dHv429TZomadL5eT1Pnqe55557zz25ufn03jMAC6EYH4oCsW7qhxrHmtKEMYavps7Fh+aB5QZAADDcyg+x207gwZ27Wtd7GhOD2+t+KDcAAgCRQIgPLVtg87vzIZfLVcuTkpJwfskm/Me6mU6f9RyrIHz//hLk5OSUu8/aiDGGL6d+gA/MmpYbAAHAQI9AyBQFuJUez1vOcRymWwfixPx1SE9PN1Fpq7+NH32GiToEQAAQ7OiNJrYuOPGi7O/FeOsmuL56N2KfxxqzmIRUOwYFQU2aNMEvv/yC+vXrlzlYYsOGDXHmzBk0btwYeXl52LFjB3744QdMmTKlwoWuKfav24JJ5k10Xp/jOEzgGuHQ9u9MWKqKiY+PR72HqagnsVZL+yXhId6s/7rO25IIzdAjwwaR5y/qtP6vJ39G/xwniAW6N2UbY90YJ7/RXp+H12/D21a6t9MRcgK8UeiJEz8eVC3bv34LJpmXH0QV4zgOEzkfHNpWfT9rU/rz8lV0SbVUe/ylzXDPFjiXqN6zlOM4TBIHYP/GbcYsYo2RkpICyzsv4KZDAFSsg1NDPMpK0voPyDuWTXBo/VZjFJGQasvgEaPbtWuHqKgo7N27F++88w769OmDPn36YPLkyfjxxx/x8OFDtG3bFkBRG6KRI0di5MiRqF9D2rxUlFwuR/7dZ7A00/0iDwDu5lK8+O2WaQplBIc3bMcQa/XGwSn5MtiLLfVujNzO2hNX9x7Tad2/Dp/G69Zuem1fwAlg/TRN1YattNzcXJg9TuS1jdCFv5UTHp8ueqyrUCiQd/upTnc0SnKzkOJl5N965aktLu05hE42+l0LOI6Dk8QKr/Ky1NLsxBZIvx4FpVJprCLWGAc2bEO4hW4N9ktq79QQV1JiykwXC8yAqBfIz8+vSPEIqdYqNG2GWCzGG2+8gS1btiAiIgIRERHYtGkTRowYAZGo/McVtdnl8xfQJV/3ti4lBaQK8OTJEyOXyDjkj19q/O/92Iu7CPcM0nt7HMfBPC4dBQUFWteTyWSweZGt9/YBYIjIG8d2/6gx7fSRY+gLd4O26/qqAK9evcLl8xcN/qwbpwnw+PFjg/LWVAqFAqLnaQb13gv3DMKxMh7jBGdb4caf1ypavBon98Fz2Ir0H+yynUMD3EjT/rirl8IFZ49HGFo0Qqq9CgVBpGwJMbHwlBjWmNqDs8TLuPjyV6wCwjzNQxzkKgoNuhADQD0mQWpqqtZ1UlJS4KrU705LMUeJFTISkjSmJcTEwsNcfawrXbgrzfHq1SskxDyHh9im/AwaeKDqPmuhUIi+ffuib9++lTptRkZGBhyVhv2TZGUmQb5SrjHNU2yLl0/rXhsWYZ7m+igPx3EQctp/AjzNpUiog3VK6g6dGldMnDgRANCmTRtMnTpV9V4XHMdh+/bthpWuBuM4TucGv6UxxiCornM56f/Pe7kYGAQC7RdjjuPADNw3Ywwo464DxxXt36DtAhAIBOAEnIFb+HcbVcHc3BwnT56s9P1ynOH1pQ0Dg0BYB/+vM8F3spgu301CajKdgqBdu3aB4zhkZ2dj6tSpqvflKe4mXxeDIK8AH0QfvA1nc/3vEDzlZAiu72WCUlWc3EJzGyepyBzJ+dlw0tBgujyvBIXldpN3cnLCC0Ge3tsGgIS8TDiV0RbNK8AXMZf/RIC1s97bfS7Ixeuursjw90FMwW24GPJZQ4bWDepGO7liUqkUKULDBk1NK8iBdRltr54WZsLLr1FFilYjyS1EgAE3g5RMCQXT3oYqJjcNnv6BBpaMkOqPQnwTad+5E363MqwNy1NnIRpU8UB6ZbEK9EZmoXowMtC9GQ7H3dZ7e0qmRGFDh3LbkFlYWCC3vp1Bd9d+YnEYOHqkxrTQgf3wi5nmR2XlSfWwgoODA9p16mjwZx3jLIC3t7dBeWsqgUAAZSNnKMv5AdbkUNzfGOyh+Uf5ll0+mgfp3y6tprN/PQDJ+fqff+dfPUaXer5a1zknSUVIWG+t6xBSk+kcBJX+8Sk9NpCmV13GcRykrQOQXqDfmD/ROSlo1LPsQcyq2vDp7+BQXrTachuROWSKAr1/2M5nPUOPCZoDlNI6jR6KyCz92ifIlQoU+jrD0tJSY7pIJILZa17IU+h3Z+JW9ksEDQkF8L/PupW/3p91jCwVDXu01SuPMclkMlhZWcHKygoymaxS99170ij8kll2zyRNlEyJrMI8SEUWammv8rLg3L65QY2ta7ph/xmPw4XP9M53O/0FWth5lJkuk+dDEtigUtuLEVLZdAqClEollEol9u/fz3uvy0uhUJj0AKqzEdPfwSZ5lM4BoVypwB5x2XctqgMHBwcUtPbG09w0tbTBHoHYGn1V521lFObimpsSLdvoNjx/284dcMk5D9ly3bvsbs19gPDZk7WuM2L2f/BN3n2dt5mnKMRxm1T06NdHtWzku5OwSaHfZ71bHItBb72h835NIScnp0oGbGwW1By365vpFTjujPkTAzyaqS1XMiW24h8MmzzOmEWsMWxsbCBqH4DHuSk65/n55QO8bl/2I3fGGDblP8TIWf8xRhEJqbbocZgJSaVSvLF6Htbk/F3us/c8RSG+KLiN6d98Ue2HF5j6yVwc9JLhSS6/R1dDK0c0t/PAjpjfyw0GUvJlWC+Jxvtfr9B5vxzH4f1vVmKN8FG5P56MMWyV3UfbuRNQ31v7o0UXFxf0/mQGNshul1vubHk+Vijv473NK3kNRm1tbfHGqnlYk3Nbt886/zamfbOs2n/WpjTnq2X4yiIGSTo8yvn26Z8IsHWGr3U93vKiaUxuY/y6xVU6AWxVe2f++zjpI8eDnPIf7f788gFkinx0ddb8KEzJlFgvu4P+n78HJycnYxeVkGrFoLnD6gpjTaAaHxePPQtXwi0+V22SyMzCPBzKi0a6txSTln0MOzs7I5Tc9Bhj2LViPdIi76Cf0g0+lo6qtLvpL7E37iaC7D0Q7hYIsxIDESbmZeGw4hnYa56YsmQexGL9BpMEgLy8PGz6eClEDxMw1KwBb/TqQqUCJ7Oj8U89DoM+mIrGga9p2RJf9OMn2L9kHRokyDHIxoc3MnVqgQyHCp4ix9cJU5bNL/MH90X8C+xesKLMz/pwXjTSvG0xadn8Kv+sq3ruMKBoHrpNCz4H7sRiiLA+XEuMeqxgShxOuIvfU59huGsg2pWYjFcmz8fhnH/wytMK45fOLXNC27qEMYY9a7/Bq4t/IUzuAn8rJ15aZFYsrlplIbFAhiYKa4SLG/ImPs5XyHE0+wni3CUYuWA2vBs1rIrDIMQojDqB6qefflqhwixcuLBC+auKsYKgYvHx8TiycQfwKhPKwkJwIhFE9Z0wfPo7cHR0LH8D1VBhYSGO7z2A2Mi/wBXIwQmEkFuaodOowZA62CNiy26YZeRBKVcAYiHsmvkg/J2xRvnBzc7OxsEtu5D54ClQoIDATAiFvSX6/WcMfP38DN7u05inOPbNLghSs6EslIMTi2Dh447hUydCKtVtTKEXL17gyMYdYIkZ1fazrg5BULGcnBwc2vYd0u78AxTIAaEASqkF+rwzCo7O9XBgwzYo4lPACuUQiETg3Owx7N23KfjRQC6X4+S+Q4i5dB2CfAXAAQpLMdqN6Id2XTqB4zikp6fjwNfbkRedAFZYCIFIBOZkjUHTJtSZUf1J7WbUIEggEFSowWFNbRdk7CCIkOqkOgVBhBBiTCadRV5X9KSNEEIIIdWVXl3k9X1VxJo1azB06FD4+flBKpVCIpGgQYMGGDt2LO7cuVNmvl27diE4OBjW1tZwcHBA3759ceXKlQqVhZDaSCAQoGvXrujatSuNCkwIqZN0ehz27Jn+Y1CUZMjAf05OTpDJZGjevDk8PIrGsrh37x4ePXoEkUiEw4cPo3///rw8s2fPxrp162BhYYFevXohLy8Pv/76KxhjOHjwIAYPHqxXGehxGCGEEFLzGLVNUFWIjIxEq1atYG7On5Tz66+/xvTp0+Hi4oK4uDiYmRX14Dl79ixCQ0Ph6OiIq1evwu9/DWOvXr2Kbt26wdLSEjExMXr1yKEgiBBCCKl5qrxN0N27dzFv3jw0amTYXD4dO3ZUC4AAYNq0afDx8UFiYiLu3/93gLs1a9YAAObPn68KgACgffv2mDJlCtLT0+vkHGaEEEII0cyoQdDz58+xfPlyBAUFISgoCMuXL6/wozRNigeYKx5jJjc3F+fOnQMADBs2TG394mXHjx83elkIqalkMhnq1auHevXqVfq0GYQQUh3oNIu8NikpKdi/fz/27t2Lq1evqjWKNvZcPrt370ZUVBT8/PxUd3yioqKQn5+PevXqwdPTUy3P66+/DgC4fVv/CT4Jqc2Sk5OrugiEEFJlDAqCcnJycPToUezduxdnzpyBXC4HoLlLfHGbHUOtXLkS9+7dg0wmw4MHD3Dv3j24u7vjhx9+UE3s9/z5cwDQGAABgJWVFezs7JCWloasrCzY2NhoXC8/Px/5+f/OS5WZmVmhshNCCCGk+tI5QlEoFPj555+xd+9eHDt2TDXpYnHgw3EcOI4DYwwcx2HQoEEYMmQIBgwYUKECnj59Gr/++qvqfYMGDfDdd9+hVatWqmXZ2UVzD5U1UzhQFAilp6drDYKWLVuGTz75pELlJYQQQkjNoFOboKlTp8LV1RUDBw7Ejz/+CJlMpnbXx8zMjDfWyOHDhzFmzJgKz4909uxZMMaQlpaGS5cuwc/PD127dsXSpUsrtF1NPvroI2RkZKhesbGxRt8HIYQQQqoHnYKgzZs3IzU1Va29j1gsRv/+/bFr1y68evUKrq6uJiuonZ0dOnfujIiICLRq1QoLFizAtWvXAEA19H/x3SlNiht+lnUXCAAkEglsbW15L0IIIYTUTno32CkOfMLDwzFgwABVAFJZRCIRRo4ciRs3buD48eNo06aNasK/uLg4jXlkMhnS09Nhb2+vNQgihBBCSN2hdxf5wsJCREVF4dGjR6oGyZXNyckJAJCUlAQACAgIgEQiQVJSEuLj49XWv3nzJgCgefPmlVdIQqo5gUCA1q1bo3Xr1jRtBiGkTtLrylfc3f3+/fv49NNPERgYiMaNG2PBggW4deuWKcqn0cWLFwEAPj4+AAALCwuEhIQAAA4cOKC2/sGDBwGgwo20CalNLCwscO3aNVy7dg0WFhZVXRxCCKl0Ok2bsXbtWvzwww+4fv36vxn/1xOs+O9ixb3DFAqFwYWKjIxEVlYWevXqxfsPtbCwEJs2bcLs2bMhkUgQFRUFLy8vANqnzejevTssLCxo2gxCtIiJjsbPO3+EIjsXMBPCvakvBrw1EiKRCLm5uTi6Yw9SYuIAJYPYzhoDJo2Bm5ub1m2mpKTg6OZvkZucDnAcpJ4uGPzOGI2PpZ88eoxfvtsPpSwPMBPCK7Ax+o0aVuFhNgipjtLT03F063fIflk0VpeVqyOGTB5X4c5ENYFSqcQvh4/hyR+3ALkCkIjQ7Y1BaNYiyGj7MMncYU+ePMH333+PH3/8EVFRUUUb+F8AVHqARD8/P4SHh2Po0KG87uy62LVrFyZMmAAnJye0atUKjo6OSE5Oxp07d/Dy5UuYm5vj22+/xYgRI3j5iidQtbS0RGhoKAoKCnDmzBmaQJUQLc4fP4Xr3x5F/agMDCp0hZgrGn8rRp6Jww5piCpMg6/AFm+lO8Nd9L9OCMpCHLZ4hcTGDug6dRSCu3bibfP2tZs4vW4nHO6/wrBsZ9gIi0Z3T5bn4pB9KnKau2PIB9PQyN8XZw4dw9/fn0TDR5noL3eB6H/7fyLPQIRbDsyC/TBmwRxIpdJKrBVCTCPq7n0cX7UZtncTEZ7pCHth0fRQaYo8HLJNQWYzF/R/fxIaBzar4pIaX25uLr5dshayK/cQGi9GM6EDAEDJGE4LE3DfxwJ+Q0IweMLoCu/L5BOo3rx5E99//z3279+vaoej6Y4Qx3GqwRR1FRMTg23btuHixYuIjo5GcnIyxGIxvL29ERISgpkzZ8LX11dj3l27dmHDhg148OABxGIx2rVrhwULFqBDhw56HyMFQaQ2y8nJQX0PT5jJCvCk4URYCkQa18tTyrEm9QbetG2MhmL1QOQncSLkk7th+PR3AAARe/YjdfURvJnrVuaI8UrGsNk2Hgn+duh5Mw+dmVPZ5VQWYo1rAiZ8uxJe3g0MOFJCqofzP0Ug+rPdGJ9d9neDMYZd1i/R8OPRCBnSv5JLaDrJyclY/+YMzH7mADuh+rygxW4hDee7O2HOxuUVmnGi0maRZ4zh4sWL2Lt3Lw4dOoS0tLSiDZcYOLEij8aqEgVBpDbb/vkavPPx+wCATP8ZsCojCAKKvufLUv7EZLvmcDJTbz90xiwJ8g/6w9reFsnzd2NIvm7DZWxMv4XuFl5oKnHUup6SMXzuEoeZP22pE48LSO1z7VIkHr63EaNztD9CLva9xQsErJmG4G6dTVwy08vNzcWywW9j3jNn1Z1mbaJZFiL6uWDm6s8M3melzSLPcRy6deuGLVu2ICEhAUePHsWIESM0zgBPCKkeMjIykLn/ss7rcxyH/3Nsje8zH2hMD5XXQ9Tmw4hc/a3OARAATJMG4WR2dLnrCTgO7ye44tuFK3TeNiHVybkvtuocAAHA6Fx3nF++zYQlqjx7Vm7AjBg7nQIgAGjE2cDj9BM8evDQxCUz8izyIpFINar0q1ev8O2336J3797G3AUhxAgOrNuC8OyyH0FpIuaEMOM45CoLNab3T7SGJCpRr21yHAdfsR2eFKSVu66FQAR2IwYFBQV67YOQqnbj6p9oFaNfsxAAaPVUgetX/jBBiSoPYwzpl/6Go1C/HqgD5K44sW67iUr1L5MNDmJlZYUxY8YgIiLCVLsghBgo/bfbqgaZ+hhq44cjWU80pvmaScHk+j/6HmDtg4jsGJ3WHfjKGse+/UHvfRBSlS5u/QHdmbPe+bozZ1zcWrPP90unf0WXWP17eJpxAoj+juVNam4KNEIaIXWMUqmERWqeQXndzKyRriz7omQuMOxiZ8bpdinyNrNFwn3NQRgh1ZU4NcegRr4cx0GSlmuCElWe+1euoSVnb1De+hkcEhP1u7usLwqCCKljCgoKIFIanp+hQn0pKrxNVqD/YwVCqhIrqEDnoMKa2bGomKKgQOd/ckozl3Na5wQ1BhqFjJA6RiKRIE/EgQPQVFzUK0vX/1GLJlEuO11pYGdTXbMpGQMsxAbtg5AqU4FzVimp2T/TlvZSZCuTYS3Qvw7SxAq0sDfsLpKu6E4QIXUMx3HI93aApUCEO43G4U6jcWWOEVTa5dx4tLHQ3PtLyRhymf53aRLkMkiFEp3WPcsloPMbA/XeByFVSdzUC5kK/du2ZCryIXmtZo+NFToqHCckSQbljfU0h7Oz/m2p9EFBECF1UItR/fGXIkXvfH/mJiDYXHMQdAovIJBa6r3Nw1mPEW7jp9O6d3zM0aK1fiPQE1LVhr/3Hxy0SdY730HrJAybPdkEJao8Xl5eiG+i/92cRLkMzj1bV2jARF1QEERIHdRjYF+c8MqDPmOl3s9PgZfIRuNFSc6UuOVvAUWbRmV2odckRZELJWM63Ym6hXT4Dumu87YJqS4cHByQ3tJdr7tBWYoCpLd0h6Oj9oFEa4LgcUNwTqjf3aDdTikYNnWiiUr0LwqCCKmDBAIBhq6cC49n2xAYvQs55QQuTwsyEJEdjeE2/mppcqbECqc4TN76BaZ+swwr3BOQryz/sViGIh8fZFzFJLvActd9oszExZ7OGPL2mHLXJaQ6mrZ+CdY0TC33uwYUTRWz2jsF075aWgklM72ufXshZuhr+AvljwcGAN9ZxKPL0ndhZWVl4pJREERIndUowA+JeVm4X5CKKGWGxnUKmALfZz7Asex/MMdB/db0LWUKltZPxMR9X8LFxQVSqRSzDm3Ccr90/M6SNd5pUjKGs1wCvm4lx4xjm7HS5SWeyDXvP18px4+ieJwd7IXZ6z+v+EETUkUsLS3x34ObsaaZDJfwSuN3gzGGS3iF1a9l47+HNsPSUv/Hy9XVpE8/xJ2xzbFTEgtZGYFgnDwbK+yfo+ma6WgX0rVSylXhucNqM5o7jNRmMpkM1tZFs8Lv27oLz05ehu3TdDgWCJEvYEiy5cC93hBNw7rizpEzEN6JRT0ZBxHjkCxWQObnhBaj+qPHwL5qwRFjDJFnz+PqzkOwjHoFp3whlByQbKFEwWvu6DHtLbRo0xoAIJfLcXz3Pjz56TykTzPgUChEnpAhyVYAYatGGPz+f1C/fv1Krx9CTOXP3yJxacs+mD98CadcAThwSLJQIK+xG7pMHongzh2ruogmk5iYiENrNiH39yjUS5PDUiFAupkS6V7W8OjTHkMnjYVEoltHCW0qbQLV2oyCIFKblQyCsrOzYWVlhdzcXKSlpcHc3BxSqRRC4b9z/cjlcqSnp6OwsBD29vY6zw9YUFCA1NRUCIVC2NnZQSQqu/1PTk4O0tPTYW5uDjs7OwgEdLOa1F6FhYVITU0FUNRuSNt3o7ZRKpXIzMyETCaDVCpVXYuMRdff75o9AAEhxKgsLCxgYaF5jh8zMzM4Oek33xgAiMViuLrqNqmqpaVlrXoEQIg2IpEILi4uVV2MKiEQCGBnZwc7O7uqLUeV7p0QQgghpIpQEEQIIYSQOokehxFSR3EchwYNGqj+JoSQuoaCIELqKEtLSzx9+rSqi0EIIVWGHocRQgghpE6iIIgQQgghdRIFQYTUUbm5uWjTpg3atGmD3Nzcqi4OIYRUOmoTREgdpVQqcf36ddXfhBBS19CdIEIIIYTUSRQEEUIIIaROoiCIEEIIIXUStQmqRElJSTi4bAMKrz2GQFYACAUodLRE/cFdMfDtt+rU5Hl1XX5+Po5u3oUXJ65AnJYLplRCYS2BRfvGGPbBdDg4OBh1f4wxRP7yK/7YtB+SF5lAoRz5IuMOkMgYw+/nLiLy6x9gEZ8BViAHJCIU+Dih9/+9g9daBBl1f4QQUlE0i7wWxppFPj8/HxsnfwDHX58gPN4S1uAHO9ECGY435eA1uT+GzninosUm1dyPKzYgadcvGPxAAC/wJwvNRCEO1s9Bdu+mmPb1MpiZVfz/lOsXLuPs3C/R7XYe2ubagENR8CODHNY4AABY1H0k/rN7Ndw8PAzax99X/0TE+yvR5VYuOpTYBwAooMRpaSb+amWHsds+h1dD7wofEyGEaKPr7zcFQVoYIwjKy8vDsn7jMetcIRwg0bruFRsZHr3XEeM/+cCgfZHqb/P/LUbrb/5CqxwrreslIg+bwqww76cdFbpDeOnYKTyfvhFvxamfvzLI4Y1jAIB/0B9fN83Dm8fWo4FPI732cfX0r3j4n7WY8Ez7d0QJhtWNMzH08Br4NAnQax+EEKIPXX+/qU2QiX01YQ5mn5OXGwABQIcsKzRcdxmn9xyohJKRynb0m51osflmuQEQALjAHFNP5WDjlA8N3t+z6Bjcn7VBYwAEAFYwQxKGIglDYQsxPrhvg11vvIfCwkKd9/EiPh43pq8pNwACAAE4/N9DW+wd/V8al4gQUi1QEGRCz58+RYNfY2APsc55umZY4+62o6YrFKkSjDH8820E2mZb65zHGRLY/fIQycnJBu3z6NINePupjc7rC8Bh7A3g2PbdOuc5tGQ9Jv2j+zFx4DDxLyGOfLND5zyEEGIqFASZ0E9ffINBSfo/Rgu6mY5bf1wzQYlIVbn881l0/lv/ux/D4qxw8IsNeufLzc2FMPIRRHp+xRsyKzw9cE6ndQsKCsB+i4IEQr324QELvDh6Wa88hBBiChQEmZDy2j96/0AAQEiWLS5t3WeCEpGqcvP742iTp/tdmWLWECH/apTe+c4e/Al9o7R/vXMhRzf8im74FbmQq5Z7/Z2Cly9flruPiydPo+d9ebnraeJ/Ow0xMTEG5SWEEGOhIMiEhJl5BuUTgIMgy7C8pHoyy87n9ZjSh9CAcyHxn2fwgLnWdZQALuIVLuIVSk6a4Z6uRGJiYvn7ePIMHkz7PsringEkvig/0CKEEFOiIMiEOIHh47BwAvpoahWucs8FodAMChjW8VMhBITC8u9gCkWG70PJMQhFNEwZIaRq0S+tCRXaWxiWD0owh/J7EJGaQ25nAaWBAUOhnf53W7ya+SNaaFgPrOeOQri7u5e/j9f8EC027I7lUycBPDw9DcpLCCHGUi2DoJycHBw9ehRvv/02AgICYG5uDisrKwQFBeHTTz9FdnZ2mXl37dqF4OBgWFtbw8HBAX379sWVK1cqsfT/sujSDJnQvbtxsWOOGeg7+20TlIhUle7T38IZ2wy9871CHuxDW+m/v4F9caaZYXdaEl93haOjY7nrdejRHRcDyx/6QZPY1110CrQIIcSUqmUQtHfvXgwZMgQ7duyAUCjEwIED0blzZ8TExGDRokVo06YNXr16pZZv9uzZmDBhAu7evYuePXsiODgYZ86cQZcuXXD06NFKP45hH07HQS+Z3vli2rigkZ+vCUpEqkrz1q1w53V7vfMd8ilA+KzJeucTCoWQdGsGGfRruHxLnIWgCYN0WlcgEMCmZ0tkoECvfTw0y4b/qN565SGEEFOolkGQSCTC5MmTcf/+fdy/fx/79+/Hzz//jKioKLRs2RIPHz7E7NmzeXnOnj2LdevWwdHREX///TeOHj2Kn3/+GZcuXYJQKMSECROQnp5eqcfh6OiIvCGtEGOm+2OJ/e5Z6PrfiSYsFakqwbNH47hzls7rPxDLIBnZEdbWuo/DU9LIBbPxVbMcMB0fw+VCjiOdrNBjyADd9/HRTGxonq/zPvKhwA8dJOg7eoTO+yCEEFOplkHQuHHjsHnzZjRp0oS33M3NDRs3bgQAHD58GAUF//4HumbNGgDA/Pnz4efnp1revn17TJkyBenp6di+fXsllJ5vytpPsH+kOx6Lyg+EDrplwWbpaLQJ6VIJJSOVrcugvpAvHIIT9coPhO6a5+Dnsb6YsGSuwftzdHTE4D2fY03jrDLbI1lCCEsIkYVCfNFBgTmHN0OgR0NsqVSKN35chRVNsyDn9TFTJ4Mcy9oWYNaRzTo1vCaEEFOrcXOH5eTkwMqqqNHwixcv4ObmhtzcXNjb2yM/Px+xsbHwLNXg8rfffkOXLl3QtWtXXLhwQed9GWsCVcYYdn+6GimHL6PfPQZ/xb+NnpVg+MU2A/daOaDDhxPQvncPg/dDaoaLR07i+pffo+XNDHTPtuV1nb9nlo3TgWZwG9kdb3zwLrgK9CorFvfsOfbO/ATuf75AeIINLPBvW6Fk5ONgo3zkdfXD5A1LYWlpqWVLZXsZH4/d7y6G65/xCH9hDasS+0hFPg40zIOsky8mf73U4DtbhBCiq1o7gerdu3cRGBgIkUiErKwsSCQS3Lp1Cy1btkS9evU0thWSyWSwtraGvb09UlNTdd6XsYKgYnK5HBF79uPpycsQZOcDQgHkjlboMXMsAlu9XuHtk5rl5pU/cOmb7yFKywVTKqGwksB/aAh6jxyq190YXb188QJHvvgayqdJQEEhYCGGTSt/hM+ebLTAJDExEYe/2AhlTCJYXiFgLoJlkA+GvT/FKN8hQgjRRa0NgiZNmoRt27ZhwIABOHasaAbsY8eOYdCgQWjZsiVu3rypMZ+9vT3S09ORmZkJGxvNI/fm5+cjPz9f9T4zMxNeXl5GC4IIIYQQYnq1chb5iIgIbN++HSKRCJ999plqeXGXeW238osfoWVlld0eY9myZZBKpaqXl5eXkUpOSPWTl5eHfv36oV+/fsjLoxHKCSF1T40Jgh4+fIi33noLjDGsXLkSQUFBRt/HRx99hIyMDNUrNjbW6PsgpLpQKBSIiIhAREQEFApFVReHEEIqXY0Ytz4+Ph59+vRBWloa5syZg1mzZvHSi9sz5OTklLkNmaxovJ6yHoUBgEQigURi2OBvhBBCCKlZqv2doNTUVPTq1QvPnj3DhAkTsGrVKrV16tevDwCIi4vTuA2ZTIb09HTY29trDYIIIYQQUndU6yAoOzsbYWFhuH//PoYOHYqtW7dq7DIcEBAAiUSCpKQkxMfHq6UXN5Zu3ry5yctMCCGEkJqh2gZB+fn5GDRoEP7880/07t0bP/zwQ5kDrFlYWCAkJAQAcODAAbX0gwcPAgAGDNB9JFxCCCGE1G7VMghSKBR48803ce7cOXTu3BmHDx+GWCzWmmfOnDkAgCVLluDx48eq5VevXsXmzZthZ2eHt9+mSUkJIYQQUqRaNozesGEDjhw5AgBwcnLCtGnTNK63atUqODk5AQB69uyJWbNmYd26dWjRogVCQ0NRUFCAM2fOgDGGnTt3ws7OTq9yFA+hlJmZafjBEFJNFXcWAIrOceohRgipLYp/t8sdCpFVQ4sWLWIAyn3FxMSo5d25cydr1aoVs7S0ZHZ2dqxPnz4sMjLSoHLExsbqVA560Yte9KIXvehV/V6xsbFaf+dr3IjRlUmpVOLFixewsbExyhxOVa14BOzY2Ng6PQI21cO/qC6KUD0UoXooQvXwr5paF4wxZGVlwd3dXes0RNXycVh1IRAI1CZjrQ1sbW1r1MlsKlQP/6K6KEL1UITqoQjVw79qYl1IpdJy16mWDaMJIYQQQkyNgiBCCCGE1EkUBNUhEokEixYtqvNTg1A9/IvqogjVQxGqhyJUD/+q7XVBDaMJIYQQUifRnSBCCCGE1EkUBBFCCCGkTqIgiBBCCCF1EgVBtVhkZCT69u0LBwcHWFtbIzg4GN99951Rtv3222+D4zhwHIfLly8bZZumYqx6uHHjBhYvXowOHTrAzs4OYrEYXl5eeOutt3D79m0TlFw/ubm5WLhwIfz9/WFubg53d3dMnDgR8fHxem8rLS0Ns2bNQoMGDSCRSNCgQQPMnj0b6enpxi+4CRijLtLT07F37168+eabaNiwIcRiMWxsbNC2bVusW7cOhYWFJjwC4zDmOVHS48ePYWFhAY7j0LNnTyOV1nSMXQ9Pnz7FlClT0LBhQ0gkEjg5OaF9+/ZYuXKlkUtufMasizNnzqBfv36oV68eRCIRHB0d0atXL9W0VzWCQfNJkGrv4MGDTCgUMo7jWNeuXVl4eDizs7NjANj7779foW2fO3eOAWAcxzEA7LfffjNSqY3PWPVQWFioGobdwcGBhYWFsWHDhjEfHx8GgInFYnbgwAETHol2ubm5rF27dgwAc3NzYyNGjGDBwcEMAKtXrx77559/dN5WUlIS8/X1ZQBYo0aN2IgRI9hrr73GADB/f3+WkpJiwiOpOGPVxccff6w6z1u2bMlGjhzJQkJCmEQiYQBYp06dmEwmM/HRGM6Y50Rp3bp1U33/e/ToYcRSG5+x6yEiIoJZWloyjuNYq1at2BtvvMFCQ0OZq6sr8/HxMdFRGIcx62Lt2rWq70eHDh3YyJEjWYcOHVTnxbx580x4JMZDQVAtlJKSwmxtbRkAdujQIdXyhIQE1Y/b+fPnDdp2bm4u8/PzY6+99hrr0KFDtQ6CjFkPhYWFrE2bNuzo0aNMLperlisUCtWPpY2NDUtKSjL2YeikuAzt27dnWVlZquWrV69mAFjXrl113tbo0aMZADZ06FBWWFioWj5jxgwGgI0bN86IJTc+Y9XF559/zj744AP27Nkz3vJHjx6x+vXrMwDso48+MmbRjcqY50RJ27ZtYwDY5MmTa0QQZMx6ePDgATM3N2f16tVTm5NSoVCwa9euGavYJmGsunj16hWTSCRMJBKxCxcu8NIuXrzIJBIJ4ziuQoF2ZaEgqBZavnw5A8AGDRqklnb48GEGgPXv39+gbc+bN49xHMd+++031rVr12odBJmyHkpSKpUsICCAAWC7du2q8Pb0lZ+fz6RSKQPAbt68qZbevHlzBoBdv3693G29ePGCCQQCJhaLWUJCAi8tLy+P1atXjwmFQpaYmGi08huTMetCm7179zIAzNvbu0LbMRVT1UNCQgKzt7dnoaGh7Pz589U+CDJ2PYSFhTEA7OTJk8YuqskZsy6OHz/OALDevXtrTB84cCADwPbt21fhcpsatQmqhU6ePAkAGDZsmFpav379YG5ujrNnzyIvL0+v7d65cwcrV67ExIkT0alTJ6OU1ZRMVQ+lcRyH5s2bAwBevHhRoW0ZIjIyEhkZGfDx8UHLli3V0ouP//jx4+Vu6+eff4ZSqUTnzp3h4uLCS5NIJBgwYAAUCgUiIiKMU3gjM2ZdaBMUFASgaj5vXZiqHmbNmoXc3Fx8/fXXRimnqRmzHmJjY3H69Gk0atQIffv2NXpZTc2YdaHrwImOjo76FbIKUBBUC/39998AgNdff10tTSwWo1mzZsjLy8OjR4903qZSqcTkyZNhZ2eHFStWGK2spmSKeihLdHQ0AMDV1bXC29KXtuMsuVyXxtvG3FZVqKzyV+XnrQtT1ENERAT27duHefPmwdfXt+KFrATGrIcLFy5AqVSiQ4cOkMvl2L9/P2bNmoV3330XmzZtQlpamvEKbgLGrIvg4GDY2dnh3LlzuHjxIi/t0qVLOH36NPz8/NC5c+cKltr0KAiqZTIzM5GRkQEA8PT01LhO8fJnz57pvN2NGzfi999/x6pVq+Dg4FDxgpqYqepBk8uXL+PGjRsQi8Xo06dPhbZliOfPnwMwznEac1tVobLKv27dOgDAoEGDKrQdUzF2PchkMkybNg0BAQH48MMPjVPISmDMerh//z4AwNraGp07d8bIkSOxfv16bNy4EVOnToWvry/Onz9vpJIbnzHrQiqVYvv27RAIBOjevTs6deqEN954A506dUK3bt3Qpk0bnD59GmKx2HgHYCIUBNUy2dnZqr8tLS01rmNlZQUAyMrK0mmbcXFx+Pjjj9GtWzeMHTu24oWsBKaoB00yMzMxceJEAMB7770HNzc3g7dlqOJjNcZxGnNbVaEyyr9p0yacPXsWdnZ2mDt3rsHbMSVj18P8+fPx7NkzbNq0qUb8sBUzZj0U3+nZtm0bHj58iL179yI1NRVRUVF46623kJqaiiFDhlR4+AFTMfY5MXToUJw6dQqOjo6IjIzEvn37EBkZCRsbG/Tq1QseHh7GKbiJmVV1AYi6IUOG4MGDB3rl+e677xAcHGyS8kyfPh35+fn45ptvTLL9slS3eihNoVBg9OjRePz4MYKDg/Hpp59Wyn5J1fntt98wa9YscByHHTt2wN3dvaqLZHLXr1/H+vXrMXbsWHTr1q2qi1NllEolAEAul2Pz5s0YMWIEAMDe3h67d+9GVFQUrl27hq+//hpLly6tyqJWitWrV+ODDz7A4MGDsXjxYjRq1AjR0dFYuHAhFi5ciD/++AMnTpyo6mKWi4KgaigmJgZRUVF65cnJyQFQdKu25DJbW1u1dWUyGQDAxsam3O0eOnQIx44dw4IFC9C4cWO9ylRR1akeNJk6dSpOnDiBgIAAnDx5ssr+Qy4+1uJjL02f4zTmtqqCKct/9+5dDBo0CAUFBVi/fj2GDBlieEFNzFj1IJfLMWnSJNjZ2WHVqlXGLWQlMMV3w9raGsOHD1dLnzBhAq5du6bWRqa6MGZdXLhwAf/3f/+H119/HQcOHIBAUPRQKTAwEAcPHkTr1q1x8uRJnDp1CmFhYUY6AtOgIKgaunXrlsF5bW1tIZVKkZGRgbi4ODRt2lRtnbi4OABAgwYNyt1ecU+BM2fO4NKlSxrLOWPGDEilUowfPx7jx483uOylVad6KG3u3LnYunUrvLy8cObMGTg5ORlc1oqqX78+gH+PpzR9jtOY26oKpip/TEwMevXqhbS0NCxevBgzZsyoWEFNzFj1EBcXh1u3bsHV1VXth7949PAbN26o7hBduHDB8EKbgDHPh+J16tevD47j1NK9vb0BAK9evTKkqCZnzLrYvXs3gKK79cUBUDGhUIihQ4fi1q1buHTpEgVBpPIFBQXh0qVLuHnzptqPf2FhIe7evQtzc3P4+/vrvM3ff/+9zLTiYKW63So3RT0AwIoVK7B8+XI4OzvjzJkz8PLyMmax9VbcXfvmzZsa04uXF3fjr6xtVQVTlP/ly5cIDQ3Fy5cvMWvWLCxatKjiBTUxY9dDQkICEhISNKalp6dX27sfxqyH4m7lZfUCS01NBcC/C12dGLMuigMmqVSqMb14eXXvMQeAps2ojSprkMC6OFjili1bGABmZ2fH/vrrL+MUtIJKDoKmqUyGDpZYekDEmjZYYkXrgjHGUlNTWWBgIAPAJkyYwJRKpZFLbBrGrgdNatpgiRWth8LCQubo6Mg4jmMPHz5US580aRIDwCZOnGiMohudMeti7NixDAAbO3asxvS33nqLAWDLli2raLFNjoKgWqis6SISExO1ThcREBDAAgICWFxcnE77qe5BkLHr4cCBA0wgEDBra2t25coVUxdfL8XD4Xfo0IFlZ2erlpc1HP5XX33FAgIC2Ny5c9W2VTxtRnh4OG/ajJkzZ9aoaTMqWhcymYy1b9+eAWAjRozgTZdSExjznNCkJgRBjBm3HpYuXao65oyMDNXyM2fOMJFIxDiOY3/88YfJjqWijFUXxf9ECoVCdvz4cV7a0aNHmUAgYAKBQGOwWN1QEFRLHTx4kAkEAsZxHOvevTsbNmyYauLQOXPmaMyD/00QGhMTo9M+qnsQxJjx6iExMZGJxWIGgAUGBrJx48ZpfB05cqRyDqyU3Nxc1rZtW97EiMXvNU2MuGjRojIDmqSkJNXEsD4+PmzkyJGsWbNmDADz8/OrEROoGqMuZs+erbrQjxo1qszPvLoy5jmhSU0JgoxZDwUFBaxnz54MAHNxcWGDBg1iHTt2ZEKhkAFgS5curaSjMoyx6kKpVLLhw4errpWtW7dmw4cPZ61bt1Ytq+51UYyCoFrs8uXLrE+fPszOzo5ZWlqy1q1ba53bqjYGQYwZpx5iYmJUy7W9Fi1aZPoDKkNOTg5bsGAB8/HxYWKxmLm6urLx48ez2NhYtXXL+8FLSUlhM2bMYF5eXkwsFjMvLy82c+ZMlpaWZtqDMBJj1MW4ceN0+syrM2OeE6XVlCCIMePWQ0FBAVu+fDl77bXXmLm5ObO1tWUhISFqd0SqK2PVhVKpZNu3b2ddunRhdnZ2zMzMjDk5ObG+ffuyU6dOVcKRGAfHGGNltxgihBBCCKmdaMRoQgghhNRJFAQRQgghpE6iIIgQQgghdRIFQYQQQgipkygIIoQQQkidREEQIYQQQuokCoIIIYQQUidREEQIIYSQOomCIEIIIYTUSRQEVTNPnz4Fx3GqV7du3aq6SGW6c+cO1q5di8GDB6NZs2aoV68exGIxnJ2dERoaip07d0KhUBi07Xv37mH48OFwc3ODmZmZqj4WL15coTIvXryYV79Pnz7VOe/48eN5eU3J29u7RpwDtdXOnTvRvn172NraGny+EFIdVOSaVxeYVXUBSM315ptv4t69e2rLk5KScPbsWZw9exbfffcdTpw4ASsrK523m5CQgI4dOyIjI8OYxSVEJ9988w2mTZtW1cUghFQCCoJIhXEch+bNm8PDwwMPHjxATEyMKu3ChQuYN28e1q1bp/P2jhw5wguAfH19ERgYCIFAgKZNmxq17ISUtmvXLt77bt26wdHREQD0CuYJqQ6aNm2K8PBw1Xs6h/koCCIGE4vFmD17Nt577z3Ur18fAKBUKjFnzhxe0PPdd99h7dq1EAh0e/r66tUr3vuTJ0/C39/feAUnRIuS51/79u1x/vz5KiwNIRUzYsQIjBgxoqqLUW1Rm6BaJDMzEytWrEDHjh3h4OAAkUikap+zY8cOFBYWasyXmpqKGTNmwMPDA+bm5mjSpAmWL1+OwsJCrW1TIiIisHbtWlUABAACgQDLly+HSCRSLUtPT0dSUlK55d+1a5fGdj8BAQGqMly4cEG1PD8/H5s2bUKPHj1U7ZEcHR3RpUsXfPnll8jJySm/0kqRy+VYtWoVGjduDHNzc3h5eWHGjBlIS0vTe1ulJSYmYtGiRWjbti3s7e0hFovh5uaGrl27YuXKlVrz5ufnY8mSJQgICIC5uTk8PDwwc+ZMZGVlqa27detWjB07FkFBQXBzc4NEIoGlpSV8fHwwatQo/Pbbbxr3UbLdwPjx45GcnIzZs2ejQYMGkEgkaNiwIRYuXAi5XK4x//Hjx9GxY0dYWVnBwcEBgwYNwq1bt1Sfq6bPsFhcXBw++OADtGjRAra2tpBIJPD29saECRNw9+7d8itXA6VSiR9++AF9+/aFq6srxGIx7OzsEBwcjM8++wypqam89bt166bWZuLq1auqcnt7e+u039L1GB0djZEjR8LR0RFSqRRhYWH4+++/AQC5ubmYN2+eqo4bN26ML7/8ssxtG1JPVXU+aFNYWIgdO3agV69ecHZ2Vn13e/bsiT179kCpVPLWX7hwIa88+/bt46WPGzdOlSYUCnH58mUA6m0sFy9ejOjoaLz11ltwcXGBubk5WrRoge3bt6uVUVPehw8fYuTIkXB2doZAIODdNWSM4dChQxg4cCDc3d1V51vHjh2xceNGFBQUaKyLAwcOoG/fvnBzc4NYLIa1tTUaNmyI0NBQLFiwQK3JwcuXL/H+++8jMDAQNjY2EIlEcHFxQVBQECZMmICtW7fy1telTdDdu3cxefJk+Pv7w8rKChYWFvDx8cH48eNx/fp1jeU25flRqRipVmJiYhgA1atr16465bt37x7z9vbm5S39ateuHUtJSeHlS0pKYgEBARrX7927N3N3d9e7LIwxVq9ePd62cnJyys2zc+dOreUHwM6fP88YYyw+Pp4FBQVpXTcgIIBFR0fz9rFo0SLeOjExMao0pVLJhgwZonFbvr6+LCwsjLdMHxEREcze3r7MskqlUt76DRo0UKW1bNmStW3bVmO+Hj16MKVSycvr4eGhtV44jmNr1qxRK2PJdTp27Mg8PT015p84caJa3q+++krjumKxmI0ePVrjZ1jsp59+YjY2NmWWVyQSsR07duhV35mZmSwkJERrPbi5ubHr16+r8nTt2lXr+g0aNNBp3yXztG/fnjk4OKhty9ramv31119lfq6ffvqp2nYNraeqOB+0SUhIYG3atNFapn79+rG8vDxVnsLCQhYcHKxKr1evHktKSmKMMXbixAle3o8//liVr/T1dODAgUwqlWrc56xZs3jlLJ23f//+zNramrds586djDHGZDKZ2vWh9Cs4OJglJyfz9rF48WKteQCwzz77TLX+y5cvmaurq9b1hUIhbx/arnmMMbZu3TomFAq1nh9LlixR+xxNdX5UNgqCqhlDgiCZTMb70Sy+YPfq1UstGOnTpw8v75tvvql2ce7Rowfz9fVVO5l1DYJu3LjBy9e2bVud8p0/f56Fh4ezJk2a8PKHhYWx8PBwFh4ezu7evcuUSiXvggiAubq6sl69eql9EZs1a8YKCwtV+9B2Qfj66695aWZmZqxjx44sODiYcRynVh+6unPnDrOwsODldXR0ZCEhISw0NJTZ29trDYKKX/7+/qxbt25MJBLxlpcOKjw8PJhUKmWtW7dmvXr1YgMHDmTt27dnEolElUckErHnz5/z8mm6gAUFBbFOnTrxjp/jOF5weffuXbUyNWnShHXv3l3tuEuX9/bt28zc3JxXri5durA+ffrwfqyEQiGLjIzUuc6HDRvG26e9vT0LDQ1VO69dXV1ZWloaY4yxhQsXsvDwcGZpaalKd3JyUp17U6dO1WnfpY/XzMyMderUiTVu3Ji3vLhufH19Wffu3Xl1bGVlxbKysoxST5V9PmijVCpZx44dedts3Lgx69+/v9o/Y6Xr+9GjR8zKykqVPmrUKJaens4L8tq0acP7vpe+nhYfa+fOnVnr1q3V0k6dOqU1LwDWqFEjFhYWxvz9/VVB0KhRo3jreHt7s379+rEWLVqoXcuK5efn8841GxsbFhoaysLCwlizZs1U50fJIGjJkiW87QUGBrKBAwfyghB9gqDjx4/z0gQCAWvbti3r2LEjMzMz46X9+OOPJj8/qgIFQdWMIUHQunXreHmGDx+uuhCkpqay5s2b89KLL5KxsbFMIBDwfpgfP37MGGNMoVCwsWPH6l0WmUzGWrVqxct37NgxveqgvP9cfvrpJ156p06dWHZ2NmOMsdzcXBYaGspL//7773Xatp+fHy/t5MmTqrRvv/1W7Quvq+HDh/PyjR49WlVexoouhrt37+blKR0EzZw5U5W2Z88eXtqiRYt4ee/cucPkcrlaOR48eMDLt2HDBl566eNbvXq1Kq30xbf44s8YY5MnT+alzZ49W5X2999/8y70AD8ICg8PVy23s7NjDx8+VKUlJyez+vXrq9JDQ0O1V3SJfZbcX0BAAEtMTGSMFZ3X48eP56UvXbqUl79k3etz97NY6Xrct28fY4yxgoICtbu1AwcOVH1W//3vf01ST5V9PmhT+kf3iy++4KVPnz5dlSYUCtUCs82bN/Pyl7yjZGlpyaKionjrl76eCgQCXr2W/senV69eZeYFwD755BPe9vPy8tidO3d460ybNo13d3bFihUar78JCQkalxfLzc1lJ0+eZBcvXlQtmzJlitbvw5MnT9j69et5y7Rd81q2bMlL++mnn1RpZ8+e5QUzfn5+vO2a4vyoChQEVTOGBEF9+vTh5Xn06BEvfe/evbz0BQsWMMbUf0znzp3LyxcXF6dXWbKystQeQXzwwQd6HT9j5QdBJS8EANgvv/zCS79y5QovfcyYMeVuOzY2lre8Y8eOauUq/Z+qLuRyOe8WuoODA+8//LKU/CG2tLRkGRkZqrSUlBReOSZPnszLm5yczBYvXszatWvHHBwc1P6jK36VDKwY41/U6tevzxQKhSqt9N29zz//XJVW8u6KRCLhlZUxxt555x2NP+4KhYJXN66urqq7LsWvknf2RCKRTo9Vv/jiC97+tmzZwkt/8eIFL71z585l1n1FgyB/f39eWunHrVeuXFGllQ4Q9u7da5R6quzzQZupU6fy8g0YMIB3HKXvEm3btk1tGwMHDtRY/s2bN6utW/p62rt3b166QqFgXl5eqnQLCwtVwFg6b+PGjdUePTPG2PLly3nrhYSE8I6pV69evPT58+czxoruipV8vBkWFsa+/fZb9vvvv7P09HSN9bdq1SrV+lKplC1dupSdOHGCPXnyhPf5lFTWNe/ly5e85R06dFDLW7rs//zzjyrNFOdHVaDeYbXAs2fPVH9LJBL4+vry0l977TWN68fFxfGWBwYG8t57eHjAzs4O6enp5ZYhPT0dYWFh+P3331XLpk+fjuXLl+t0DPooebyA+vGVdbzalK4LTV3xmzZtiqioKF2LCQBISUlBdna26n3z5s1hbW2t1zZ8fHxga2urei+VSnnp+fn5qr/j4uLQvn17tePRJDMzs8y0oKAgXm++8vZZrH79+ryyAkCzZs007iM5OZlXNwkJCTh06FCZZSosLMTLly/RqFGjMtcByj8/3NzcYG9vr2rsrsv5YajS51Hpz75keum04jquSD1VxfmgTelGucePH9e6vqbPZtu2bWjatCmSk5NVy8LCwjB58uRy91/68xAIBGjcuDFiY2MBFDVUT05OhouLi1reTp06aRwktfQxnTt3TmsZio+J4zh8/PHHmDt3LgDg1KlTOHXqlGq9Jk2a4M0338ScOXNU3drHjx+PtWvXIj4+HhkZGfj4449V69vY2KBHjx54//330alTJ61lAIDnz5/z3pf+nhQv++WXX3hl1/T9M9b5URWodxhRMXQU5KSkJHTv3p0XAM2dOxcbNmwwVtEqnalHhNaHg4MD771QKCxz3SVLlvB+8Ozt7dG7d2+Eh4fzxgoBAMaYUfZZkqnrzZAef1Wp9I9B6WEiSqcbS3E9VfX5UFGaPu9nz56p/WMWFRXFCxRNwc3NzSjbKXlMH374IY4cOYJBgwapBV4PHjzAwoULMXbsWNUyR0dHXL9+HXPnzkWLFi0gFotVaVlZWTh69ChCQkJw48YNo5RVV1V1fhgDBUG1QMku6vn5+fjnn3946aW7WBavXzIfADx8+JD3Pj4+vty7QPHx8ejSpQtu3bqlWrZixQosW7ZM1+LrrXS579+/z3tf1vFq4+npqXWbQNFFSV+Ojo68//Bv375t0ov1lStXVH+7u7vj6dOn+Pnnn3Hw4EGTBaUl6zc2Nlbth6usrtuOjo68gdu6d+8OVvSIvsxXWXeVyioPoP5Zvnz5kjfkgS7nR1WqSD1VxfmgTYMGDXjvnz17pvU4Vq1axVs/JycHo0ePVut2HR0djZkzZ5a7/9LnAmOMd3fXwsJCNTBmaWWNc1b6mC5evKj1mA4ePMhbf/DgwTh69CgSEhKQnp6Oq1evYtiwYar0w4cPIyEhQfXe1dUVy5Ytw19//YWcnBxER0djz549sLGxAVB0J7B0N3lNyvueAIZdS2saCoJqgbCwMN77+fPnqy4S6enpWLFiBS+9T58+AICuXbvyIvatW7eqbgsrlUrMmzdP636jo6PRuXNnVfAkFAqxbds2/Pe//63YAZWj9PF+9tlnqh/e/Px8fPLJJ7z04uPVxtPTk/cY8fLlyzh9+rTq/ffff68WJOpCKBTy9p+amoopU6ZAJpOplsnlcuzdu1fvbWtSciwoMzMz1X+KcrkcH330kVH2UVpISIjq79zcXF4AfPv27TKPTSgUolevXqr3Fy9exJ49e9TWi4+Px9q1a/HZZ5/pVJ7S58fq1atVj06USiXmz5/PS9fl/KhKFamnqjgftCn92cyePVvtn4K8vDwcP34c/fv3V8v/3nvv4dGjRwCKBmst+Qhs586dOHLkiNb9nzlzBhcvXlS937JlC++xUKdOnWBmpl8rkdLH9OGHHyIlJYW3TC6X49y5cxg1ahTvztyyZctw584d1XupVIp27dqpnZPFj9B+/fVX7Nu3T1VnQqEQDRs2xPDhw+Hs7Ky2vjaurq5o0aKF6n1kZCROnDihen/+/HmcOXNG9d7X1xc+Pj7lbrfGMXmrI6KX0o3xSnbRLf1avnw5Y6yoQXLJxn1AURfN3r17M2dnZ97y0j0KSnftlEqlrGfPnjp1kS/d68zT07PMsr569UrnOiivYbRCoVDrgebm5sZ69+6tVg9NmzZlBQUFOm1748aNvLTirs1t27atUBf50t2bgaKeeD169GC9e/dmTk5OWrvIa2qcW3Jb48aNUy0fM2aMWoPFfv36sQYNGqgdQ8l82rbJmPp5WbJH2r1799S6yAcGBurURf6vv/5iYrGYl+7n58f69evHevfuzXx8fFTlLl0mbUo3QHZwcGC9evVS6wHo7OysNnaWMRtGly7zuHHjyjyHzp8/z0sr2aPG0HqqivNBG6VSqTY2kp2dHevevTsbMGAAa9OmDe+7UtKxY8d4+ZYuXcoUCgXr0KED73v14sWLMssJ/NtFXtNYRREREQYdY+keoJaWlqxLly6q4QhKNmwvec0p7vLv4eHBQkJC2ODBg1mnTp14jdcFAoGqd+PKlSsZUNQB4fXXX2f9+vVj/fv3Vxsa5N1331XtQ9s1r3RPW6FQyNq1a8c6deqk9p3es2cP75hNcX5UBQqCqpmyxqbQ9Bo0aJAq3+3bt3ndZDW92rRpoxpgrJi2wRIHDBjAGyyxdAClaSybsl6lAxltyguCGCvqzRUYGKh1n35+fuzJkyc6b1uhUJTZ88TDw4N169atzB+w8hw/frzMQdoA7YMl6hMEPXz4kNna2mrcR+luq8b80Vu/fr3GfZqbm6v98JfuCnzo0CG1Qeg0vfQZdC0jI6PcwQ9dXFzYH3/8oZa3OgZBjBlWT1V1Pmjz4sULtX9iNL0EAoEqT0JCAm/Ms9atW6uGAXn06BFvGIbevXurenGVLucbb7yhNnZa8atk4KDvMWZlZbHevXuXe0wAeN3+S457VNarZK/d4iCovPP66dOnqjzlXU9Xr15d7mCJmo7dVOdHZaPHYbVEYGAgbt++jWXLlqFdu3aws7ODmZkZHB0dERISgq1btyIyMhJOTk68fE5OTrhy5QreffdduLu7QyKRICAgAMuXL8ePP/7Im0fJ1dW1sg+rTJ6envjzzz+xceNGdOvWDQ4ODjAzM4O9vT06duyI1atX4+bNm3rdvhUIBDh48CC++OIL+Pv7q6a1mDRpEm7cuKH27F8f/fv3x4MHDzB//ny0bt0aUqkUZmZmcHFxQefOnct99KirgIAAREZGon///rCxsYGlpSVatWqFPXv28HqSGNuMGTNw7NgxtG/fHhYWFrC3t8fAgQPx559/qrUjKH0eDR06FA8ePMBHH32kqhuhUAhbW1s0b94cEydOxMGDB/HNN9/oXB5bW1v8+uuv2L17N/r06QNnZ2eYmZnBxsYGrVu3xuLFi3Hv3j0EBwcb5fgrgyH1VFXngzZubm64evUqdu3ahbCwMLi6ukIkEsHc3Bze3t7o378/1qxZw3tMNXHiRNXUO2KxGLt27VI9tvLz8+M9gj19+jS++uorjfsOCAjAjRs3MHbsWDg7O0MikSAwMBBbtmzB+vXrDT4ma2trnDp1CocPH8aQIUPg6ekJiUQCsVgMT09PhIaGYunSpXj06BG8vLxU+Xbv3o2ZM2ciODgYHh4evDwDBw7EkSNHeMc2fPhwrF69GoMGDYK/vz/s7e1V50DLli3x4Ycf4tatW3pdq+bMmYMbN27gnXfega+vL8zNzVWfxZgxY3D16lW1qYxqE44xLV0CSK1XUFCA1NRUjQHOkiVLsGDBAtX7HTt2YMKECZVZPFJDxMfHw9XVVa1XSGJiIlq1aoX4+HgARQ0rTdklnZCSnj59ioYNG6reL1q0qFb/oBP90ThBdVxqaio8PDzQrl07NGvWDC4uLkhLS8PVq1d53SyLJ1skRJPPPvsMhw8fRkhICDw9PSEWi/Hs2TMcO3aM1/B14cKFVVhKQgjhoyCIQKlU4sqVK7zutCX5+fnh5MmTkEgklVwyUpMkJSWpze5dTCAQ4OOPP8bbb79dyaUihJCyURBUx9nb22PZsmU4f/48Hj58iKSkJCiVSjg6OiIoKAiDBg3C2LFjYWFhUdVFJdXYmDFjwBjD1atX8fLlS6Snp8PS0hLe3t7o3LkzJk2ahKCgoKouJiGE8FCbIEIIIYTUSdQ7jBBCCCF1EgVBhBBCCKmTKAgihBBCSJ1EQRAhhBBC6iQKggghhBBSJ1EQRAghhJA6iYIgQgghhNRJFAQRQgghpE76f5tE6/Xsv2pUAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_alignmentSim_vs_l2fc(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "finnish-seller",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene</th>\n",
-       "      <th>alignment_similarity_percentage</th>\n",
-       "      <th>opt_alignment_cost</th>\n",
-       "      <th>l2fc</th>\n",
-       "      <th>color</th>\n",
-       "      <th>abs_l2fc</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>CCRL2</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>55.943685</td>\n",
-       "      <td>-0.487688</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.487688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>77</th>\n",
-       "      <td>NFKBIA</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>54.673471</td>\n",
-       "      <td>-0.091748</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.091748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>68</th>\n",
-       "      <td>NLRP3</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.177548</td>\n",
-       "      <td>0.069058</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.069058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>TNF</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.990078</td>\n",
-       "      <td>-0.006439</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.006439</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>C5AR1</td>\n",
-       "      <td>0.2727</td>\n",
-       "      <td>57.858236</td>\n",
-       "      <td>0.8711</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.8711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>NUP54</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>30.744063</td>\n",
-       "      <td>0.012993</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.012993</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>CD44</td>\n",
-       "      <td>0.7647</td>\n",
-       "      <td>28.366715</td>\n",
-       "      <td>-0.021366</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.021366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>PLAGL2</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>31.807956</td>\n",
-       "      <td>-0.051268</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.051268</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>ZSWIM4</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>30.214575</td>\n",
-       "      <td>0.030379</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.030379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>SGMS2</td>\n",
-       "      <td>0.8667</td>\n",
-       "      <td>37.626682</td>\n",
-       "      <td>-0.020399</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.020399</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>89 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Gene alignment_similarity_percentage opt_alignment_cost      l2fc  \\\n",
-       "63   CCRL2                          0.2174          55.943685 -0.487688   \n",
-       "77  NFKBIA                          0.2174          54.673471 -0.091748   \n",
-       "68   NLRP3                          0.2174          57.177548  0.069058   \n",
-       "3      TNF                          0.2174          57.990078 -0.006439   \n",
-       "45   C5AR1                          0.2727          57.858236    0.8711   \n",
-       "..     ...                             ...                ...       ...   \n",
-       "34   NUP54                            0.75          30.744063  0.012993   \n",
-       "15    CD44                          0.7647          28.366715 -0.021366   \n",
-       "19  PLAGL2                          0.8235          31.807956 -0.051268   \n",
-       "51  ZSWIM4                          0.8235          30.214575  0.030379   \n",
-       "26   SGMS2                          0.8667          37.626682 -0.020399   \n",
-       "\n",
-       "    color  abs_l2fc  \n",
-       "63    red  0.487688  \n",
-       "77    red  0.091748  \n",
-       "68    red  0.069058  \n",
-       "3     red  0.006439  \n",
-       "45    red    0.8711  \n",
-       "..    ...       ...  \n",
-       "34  green  0.012993  \n",
-       "15  green  0.021366  \n",
-       "19  green  0.051268  \n",
-       "51  green  0.030379  \n",
-       "26  green  0.020399  \n",
-       "\n",
-       "[89 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "previous-fever",
-   "metadata": {},
-   "source": [
-    "### Run gene set overrepresentation analysis over the top k mismatching genes\n",
-    "\n",
-    "Let us use 30% alignment similarity (=0.3) as a threshold in this case"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "lyric-english",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "63      CCRL2\n",
-       "77     NFKBIA\n",
-       "68      NLRP3\n",
-       "3         TNF\n",
-       "45      C5AR1\n",
-       "84    SPATA13\n",
-       "33      CXCL2\n",
-       "12     RALGDS\n",
-       "31     INSIG1\n",
-       "6       MALT1\n",
-       "Name: Gene, dtype: object"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "topDEgenes = df[list(df['alignment_similarity_percentage'] <=0.3)]['Gene']\n",
-    "topDEgenes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "statistical-complement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene_set</th>\n",
-       "      <th>Term</th>\n",
-       "      <th>Overlap</th>\n",
-       "      <th>P-value</th>\n",
-       "      <th>Adjusted P-value</th>\n",
-       "      <th>Old P-value</th>\n",
-       "      <th>Old Adjusted P-value</th>\n",
-       "      <th>Odds Ratio</th>\n",
-       "      <th>Combined Score</th>\n",
-       "      <th>Genes</th>\n",
-       "      <th>-log10 Adjusted P-value</th>\n",
-       "      <th>-log10 FDR q-val</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>C-type lectin receptor signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NF-kappa B signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>TNF-alpha Signaling via NF-kB</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;CCRL2;TNF;CXCL2</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>Inflammatory Response</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;C5AR1;CCRL2;NLRP3</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NOD-like receptor signaling pathway</td>\n",
-       "      <td>4/181</td>\n",
-       "      <td>1.305897e-06</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>74.625235</td>\n",
-       "      <td>1011.068962</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.392729</td>\n",
-       "      <td>4.392729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Lipid and atherosclerosis</td>\n",
-       "      <td>4/215</td>\n",
-       "      <td>2.592326e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>62.492891</td>\n",
-       "      <td>803.843248</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Legionellosis</td>\n",
-       "      <td>3/57</td>\n",
-       "      <td>2.596486e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>158.222222</td>\n",
-       "      <td>2034.951617</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Coronavirus disease</td>\n",
-       "      <td>4/232</td>\n",
-       "      <td>3.507534e-06</td>\n",
-       "      <td>0.000054</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>57.783626</td>\n",
-       "      <td>725.796849</td>\n",
-       "      <td>NFKBIA;C5AR1;NLRP3;TNF</td>\n",
-       "      <td>4.264666</td>\n",
-       "      <td>4.264666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Shigellosis</td>\n",
-       "      <td>4/246</td>\n",
-       "      <td>4.425543e-06</td>\n",
-       "      <td>0.000059</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>54.402204</td>\n",
-       "      <td>670.676767</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>4.230649</td>\n",
-       "      <td>4.230649</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>IL-17 signaling pathway</td>\n",
-       "      <td>3/94</td>\n",
-       "      <td>1.177987e-05</td>\n",
-       "      <td>0.000137</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>93.715856</td>\n",
-       "      <td>1063.592345</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.863467</td>\n",
-       "      <td>3.863467</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>T cell receptor signaling pathway</td>\n",
-       "      <td>3/104</td>\n",
-       "      <td>1.596141e-05</td>\n",
-       "      <td>0.000165</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>84.394625</td>\n",
-       "      <td>932.167056</td>\n",
-       "      <td>NFKBIA;TNF;MALT1</td>\n",
-       "      <td>3.782688</td>\n",
-       "      <td>3.782688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>TNF signaling pathway</td>\n",
-       "      <td>3/112</td>\n",
-       "      <td>1.993521e-05</td>\n",
-       "      <td>0.000185</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>78.169069</td>\n",
-       "      <td>846.025656</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.731896</td>\n",
-       "      <td>3.731896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Yersinia infection</td>\n",
-       "      <td>3/137</td>\n",
-       "      <td>3.642707e-05</td>\n",
-       "      <td>0.000308</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>63.505330</td>\n",
-       "      <td>649.037070</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.511485</td>\n",
-       "      <td>3.511485</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Influenza A</td>\n",
-       "      <td>3/172</td>\n",
-       "      <td>7.174680e-05</td>\n",
-       "      <td>0.000556</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>50.264582</td>\n",
-       "      <td>479.643099</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.254896</td>\n",
-       "      <td>3.254896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Pathogenic Escherichia coli infection</td>\n",
-       "      <td>3/197</td>\n",
-       "      <td>1.073310e-04</td>\n",
-       "      <td>0.000768</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>43.731959</td>\n",
-       "      <td>399.692315</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.114735</td>\n",
-       "      <td>3.114735</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                Gene_set                                      Term Overlap  \\\n",
-       "13       KEGG_2021_Human  C-type lectin receptor signaling pathway   4/104   \n",
-       "14       KEGG_2021_Human              NF-kappa B signaling pathway   4/104   \n",
-       "0   MSigDB_Hallmark_2020             TNF-alpha Signaling via NF-kB   4/200   \n",
-       "1   MSigDB_Hallmark_2020                     Inflammatory Response   4/200   \n",
-       "15       KEGG_2021_Human       NOD-like receptor signaling pathway   4/181   \n",
-       "16       KEGG_2021_Human                 Lipid and atherosclerosis   4/215   \n",
-       "17       KEGG_2021_Human                             Legionellosis    3/57   \n",
-       "18       KEGG_2021_Human                       Coronavirus disease   4/232   \n",
-       "19       KEGG_2021_Human                               Shigellosis   4/246   \n",
-       "20       KEGG_2021_Human                   IL-17 signaling pathway    3/94   \n",
-       "21       KEGG_2021_Human         T cell receptor signaling pathway   3/104   \n",
-       "22       KEGG_2021_Human                     TNF signaling pathway   3/112   \n",
-       "23       KEGG_2021_Human                        Yersinia infection   3/137   \n",
-       "24       KEGG_2021_Human                               Influenza A   3/172   \n",
-       "25       KEGG_2021_Human     Pathogenic Escherichia coli infection   3/197   \n",
-       "\n",
-       "         P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  \\\n",
-       "13  1.414253e-07          0.000007            0                     0   \n",
-       "14  1.414253e-07          0.000007            0                     0   \n",
-       "0   1.944057e-06          0.000013            0                     0   \n",
-       "1   1.944057e-06          0.000013            0                     0   \n",
-       "15  1.305897e-06          0.000040            0                     0   \n",
-       "16  2.592326e-06          0.000048            0                     0   \n",
-       "17  2.596486e-06          0.000048            0                     0   \n",
-       "18  3.507534e-06          0.000054            0                     0   \n",
-       "19  4.425543e-06          0.000059            0                     0   \n",
-       "20  1.177987e-05          0.000137            0                     0   \n",
-       "21  1.596141e-05          0.000165            0                     0   \n",
-       "22  1.993521e-05          0.000185            0                     0   \n",
-       "23  3.642707e-05          0.000308            0                     0   \n",
-       "24  7.174680e-05          0.000556            0                     0   \n",
-       "25  1.073310e-04          0.000768            0                     0   \n",
-       "\n",
-       "    Odds Ratio  Combined Score                     Genes  \\\n",
-       "13  132.600000     2091.300110    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "14  132.600000     2091.300110    NFKBIA;TNF;CXCL2;MALT1   \n",
-       "0    67.326531      885.393278    NFKBIA;CCRL2;TNF;CXCL2   \n",
-       "1    67.326531      885.393278  NFKBIA;C5AR1;CCRL2;NLRP3   \n",
-       "15   74.625235     1011.068962    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "16   62.492891      803.843248    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "17  158.222222     2034.951617          NFKBIA;TNF;CXCL2   \n",
-       "18   57.783626      725.796849    NFKBIA;C5AR1;NLRP3;TNF   \n",
-       "19   54.402204      670.676767    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "20   93.715856     1063.592345          NFKBIA;TNF;CXCL2   \n",
-       "21   84.394625      932.167056          NFKBIA;TNF;MALT1   \n",
-       "22   78.169069      846.025656          NFKBIA;TNF;CXCL2   \n",
-       "23   63.505330      649.037070          NFKBIA;NLRP3;TNF   \n",
-       "24   50.264582      479.643099          NFKBIA;NLRP3;TNF   \n",
-       "25   43.731959      399.692315          NFKBIA;NLRP3;TNF   \n",
-       "\n",
-       "    -log10 Adjusted P-value  -log10 FDR q-val  \n",
-       "13                 5.182020          5.182020  \n",
-       "14                 5.182020          5.182020  \n",
-       "0                  4.898378          4.898378  \n",
-       "1                  4.898378          4.898378  \n",
-       "15                 4.392729          4.392729  \n",
-       "16                 4.316101          4.316101  \n",
-       "17                 4.316101          4.316101  \n",
-       "18                 4.264666          4.264666  \n",
-       "19                 4.230649          4.230649  \n",
-       "20                 3.863467          3.863467  \n",
-       "21                 3.782688          3.782688  \n",
-       "22                 3.731896          3.731896  \n",
-       "23                 3.511485          3.511485  \n",
-       "24                 3.254896          3.254896  \n",
-       "25                 3.114735          3.114735  "
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pathway_df = PathwayAnalyserV2.run_overrepresentation_analysis(topDEgenes) # this is a wrapper function call for GSEAPy enrichr inferface\n",
-    "pathway_df[pathway_df['Adjusted P-value']<0.001] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "macro-interview",
-   "metadata": {},
-   "source": [
-    "### Clustering genes using their alignments\n",
-    "\n",
-    "We first run cluster diagnostics to decide on a distance threshold with a good tradeoff between the number of clusters and the quality of structure. We use levenshtein distance metric"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "persistent-potter",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " 68%|██████▊   | 67/99 [00:00<00:00, 248.94it/s]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Running experiment to determine the distance threshold with a good trade-off\n",
-    "df = ClusterUtils.run_clustering(aligner, metric='levenshtein', experiment_mode=True) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "radical-vertical",
-   "metadata": {},
-   "source": [
-    "We can inspect structures of distance thresholds that give local optimals of the mean silhouette score."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "id": "patent-ratio",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Distance threshold</th>\n",
-       "      <th>Mean Silhouette Score</th>\n",
-       "      <th>Number of clusters</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>0.67</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65</th>\n",
-       "      <td>0.66</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>64</th>\n",
-       "      <td>0.65</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>0.64</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>0.63</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>61</th>\n",
-       "      <td>0.62</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60</th>\n",
-       "      <td>0.61</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>59</th>\n",
-       "      <td>0.60</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>58</th>\n",
-       "      <td>0.59</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>57</th>\n",
-       "      <td>0.58</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56</th>\n",
-       "      <td>0.57</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55</th>\n",
-       "      <td>0.56</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>54</th>\n",
-       "      <td>0.55</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>53</th>\n",
-       "      <td>0.54</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>52</th>\n",
-       "      <td>0.53</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>0.52</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>0.51</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>48</th>\n",
-       "      <td>0.49</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47</th>\n",
-       "      <td>0.48</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>46</th>\n",
-       "      <td>0.47</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>0.46</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>44</th>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>0.44</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>0.40</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>0.39</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>0.38</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>0.37</td>\n",
-       "      <td>0.374944</td>\n",
-       "      <td>7.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.10</td>\n",
-       "      <td>0.384710</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.398382</td>\n",
-       "      <td>65.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.08</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.07</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.06</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.03</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.01</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Distance threshold  Mean Silhouette Score  Number of clusters\n",
-       "66                0.67               0.371279                 2.0\n",
-       "65                0.66               0.371279                 2.0\n",
-       "64                0.65               0.371279                 2.0\n",
-       "63                0.64               0.371279                 2.0\n",
-       "62                0.63               0.371279                 2.0\n",
-       "61                0.62               0.371279                 2.0\n",
-       "60                0.61               0.371279                 2.0\n",
-       "59                0.60               0.395886                 3.0\n",
-       "58                0.59               0.395886                 3.0\n",
-       "57                0.58               0.395886                 3.0\n",
-       "56                0.57               0.395886                 3.0\n",
-       "55                0.56               0.391956                 4.0\n",
-       "54                0.55               0.391956                 4.0\n",
-       "53                0.54               0.391956                 4.0\n",
-       "52                0.53               0.391956                 4.0\n",
-       "51                0.52               0.391956                 4.0\n",
-       "50                0.51               0.391956                 4.0\n",
-       "49                0.50               0.391956                 4.0\n",
-       "48                0.49               0.391956                 4.0\n",
-       "47                0.48               0.391956                 4.0\n",
-       "46                0.47               0.391956                 4.0\n",
-       "45                0.46               0.391956                 4.0\n",
-       "44                0.45               0.391956                 4.0\n",
-       "43                0.44               0.391956                 4.0\n",
-       "39                0.40               0.374176                 6.0\n",
-       "38                0.39               0.374176                 6.0\n",
-       "37                0.38               0.374176                 6.0\n",
-       "36                0.37               0.374944                 7.0\n",
-       "9                 0.10               0.384710                57.0\n",
-       "8                 0.09               0.398382                65.0\n",
-       "7                 0.08               0.415730                68.0\n",
-       "6                 0.07               0.415730                68.0\n",
-       "5                 0.06               0.415730                68.0\n",
-       "4                 0.05               0.415730                68.0\n",
-       "3                 0.04               0.415730                68.0\n",
-       "2                 0.03               0.415730                68.0\n",
-       "1                 0.02               0.415730                68.0\n",
-       "0                 0.01               0.415730                68.0"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df['Mean Silhouette Score'] > 0.37].sort_values('Distance threshold', ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "printable-atlanta",
-   "metadata": {},
-   "source": [
-    "If we select distance threshold 0.37 which gives a local optimal of 0.3749 silhouette_score with 7 clusters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "id": "necessary-alaska",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n",
-      "run agglomerative clustering |  0.37\n",
-      "silhouette_score:  0.37494418907841714\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.run_clustering(aligner, metric='levenshtein', DIST_THRESHOLD=0.37) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "czech-union",
-   "metadata": {},
-   "source": [
-    "Below visualizes all alignment paths in each cluster along with its number of genes "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "id": "alone-cathedral",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1200x600 with 8 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ClusterUtils.visualise_clusters(aligner,n_cols = 4, figsize= (10,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "surgical-window",
-   "metadata": {},
-   "source": [
-    "Below is the Levenshtein distance heat map of all genes ordered based on the above clustering structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "id": "scheduled-armstrong",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x1000 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_distmap_with_clusters(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sharp-salmon",
-   "metadata": {},
-   "source": [
-    "Print the cluster-specific aggregate (average) alignments for each cluster along with its number of genes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "id": "governing-talent",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "cluster:  0 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m 18\n",
-      "cluster:  1 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m 3\n",
-      "cluster:  2 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m 36\n",
-      "cluster:  3 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m 12\n",
-      "cluster:  4 \u001b[91mIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m 12\n",
-      "cluster:  5 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mV\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVV\u001b[0m\u001b[92mM\u001b[0m 2\n",
-      "cluster:  6 \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m 6\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.print_cluster_average_alignments(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "institutional-reynolds",
-   "metadata": {},
-   "source": [
-    "# Gene-set specific alignments"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "reduced-costa",
-   "metadata": {},
-   "source": [
-    "We can obtain the aggregate (average) alignment for any given gene subset in the aligner \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "nonprofit-northwest",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMIIDIIIIDDD\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "GENE_SUBSET = gene_list[40:60]\n",
-    "aligner.get_aggregate_alignment_for_subset(GENE_SUBSET )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "rubber-number",
-   "metadata": {},
-   "source": [
-    "We can check aggregate alignment and statistics of a pathway gene set with below provided wrapper function calls to retrieve pathway gene sets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "driving-share",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "IGS = PathwayAnalyserV2.InterestingGeneSets(MSIGDB_PATH='../MSIGDB/msigdb7.5.1/')\n",
-    "IGS.add_new_set_from_msigdb('hallmark', 'HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION', aligner.gene_list, 'EMT')   "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "municipal-peeing",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage:  51.04 %\n",
-      "mean matched percentage wrt ref:  64.29 %\n",
-      "mean matched percentage wrt query:  67.14 %\n",
-      "Average Alignment:  IDDDMMMMMMMMMMIMI\n",
-      "Z-normalised Interpolated mean trends\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "PathwayAnalyserV2.get_pathway_alignment_stat(aligner, IGS.SETS['EMT'], 'EMT', cluster=True, FIGSIZE=(6,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fitted-mayor",
-   "metadata": {},
-   "source": [
-    "# Complementary functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "provincial-technician",
-   "metadata": {},
-   "source": [
-    "Show all alignments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "id": "hybrid-absence",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Gene      Alignment\n",
-      "--------  ------------------------\n",
-      "PTAFR     \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\n",
-      "OSBPL3    \u001b[92mM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "RFFL      \u001b[92mM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "TNFAIP2   \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "SGMS2     \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\n",
-      "SLC16A10  \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "FPR1      \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "FAM20C    \u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLEC4D    \u001b[91mI\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TSHZ1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IL1F9     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PSTPIP2   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "RELA      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NUP54     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "DDHD1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NRP2      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TREM1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "GRAMD1B   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "TOP1      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ICOSL     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "DUSP16    \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "PTPRE     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "LDLR      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TNIP1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "PLAGL2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZSWIM4    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZC3H12C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "AK150559  \u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "F10       \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDDDD\u001b[0m\n",
-      "FAM108C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RBM7      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RASA2     \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "SLC25A37  \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "IRAK-2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLEKHO2   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "LCP2      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TRIM13    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PTX3      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMMMM\u001b[0m\n",
-      "SPATA13   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "BCL2L11   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "CD44      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVV\u001b[0m\n",
-      "AK163103  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "LZTFL1    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IRAK3     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mII\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "ARG2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "ZEB2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TLR2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "MCOLN2    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CPD       \u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "RCAN1     \u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "PILRA     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ARHGEF3   \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "C5AR1     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\n",
-      "SLC39A14  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLCN7     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "BC031781  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NUPR1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CDC42EP4  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIE    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PLSCR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "NCK1      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "ADORA2B   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "ORAI2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "KLF7      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "NIACR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PDE4B     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "SERTAD2   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MPP5      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TGM2      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "PIP5K1A   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "FLRT3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\n",
-      "SOCS3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "TNFAIP3   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "RASGEF1B  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "SLC25A25  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[92mM\u001b[0m\n",
-      "INSIG1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
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-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "30      PTAFR\n",
-       "40     OSBPL3\n",
-       "74       RFFL\n",
-       "80    TNFAIP2\n",
-       "26      SGMS2\n",
-       "       ...   \n",
-       "77     NFKBIA\n",
-       "81       PLK2\n",
-       "88     NFKBIZ\n",
-       "46     NFKBID\n",
-       "63      CCRL2\n",
-       "Name: genes, Length: 89, dtype: object"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aligner.show_ordered_alignments() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "political-holiday",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
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-  background-color: #005FFF
-}
-
-div.highlight .-Color[class*=-C28] {
-  color: #008700
-}
-
-div.highlight .-Color[class*=-BGC28] {
-  background-color: #008700
-}
-
-div.highlight .-Color[class*=-C29] {
-  color: #00875F
-}
-
-div.highlight .-Color[class*=-BGC29] {
-  background-color: #00875F
-}
-
-div.highlight .-Color[class*=-C30] {
-  color: #008787
-}
-
-div.highlight .-Color[class*=-BGC30] {
-  background-color: #008787
-}
-
-div.highlight .-Color[class*=-C31] {
-  color: #0087AF
-}
-
-div.highlight .-Color[class*=-BGC31] {
-  background-color: #0087AF
-}
-
-div.highlight .-Color[class*=-C32] {
-  color: #0087D7
-}
-
-div.highlight .-Color[class*=-BGC32] {
-  background-color: #0087D7
-}
-
-div.highlight .-Color[class*=-C33] {
-  color: #0087FF
-}
-
-div.highlight .-Color[class*=-BGC33] {
-  background-color: #0087FF
-}
-
-div.highlight .-Color[class*=-C34] {
-  color: #00AF00
-}
-
-div.highlight .-Color[class*=-BGC34] {
-  background-color: #00AF00
-}
-
-div.highlight .-Color[class*=-C35] {
-  color: #00AF5F
-}
-
-div.highlight .-Color[class*=-BGC35] {
-  background-color: #00AF5F
-}
-
-div.highlight .-Color[class*=-C36] {
-  color: #00AF87
-}
-
-div.highlight .-Color[class*=-BGC36] {
-  background-color: #00AF87
-}
-
-div.highlight .-Color[class*=-C37] {
-  color: #00AFAF
-}
-
-div.highlight .-Color[class*=-BGC37] {
-  background-color: #00AFAF
-}
-
-div.highlight .-Color[class*=-C38] {
-  color: #00AFD7
-}
-
-div.highlight .-Color[class*=-BGC38] {
-  background-color: #00AFD7
-}
-
-div.highlight .-Color[class*=-C39] {
-  color: #00AFFF
-}
-
-div.highlight .-Color[class*=-BGC39] {
-  background-color: #00AFFF
-}
-
-div.highlight .-Color[class*=-C40] {
-  color: #00D700
-}
-
-div.highlight .-Color[class*=-BGC40] {
-  background-color: #00D700
-}
-
-div.highlight .-Color[class*=-C41] {
-  color: #00D75F
-}
-
-div.highlight .-Color[class*=-BGC41] {
-  background-color: #00D75F
-}
-
-div.highlight .-Color[class*=-C42] {
-  color: #00D787
-}
-
-div.highlight .-Color[class*=-BGC42] {
-  background-color: #00D787
-}
-
-div.highlight .-Color[class*=-C43] {
-  color: #00D7AF
-}
-
-div.highlight .-Color[class*=-BGC43] {
-  background-color: #00D7AF
-}
-
-div.highlight .-Color[class*=-C44] {
-  color: #00D7D7
-}
-
-div.highlight .-Color[class*=-BGC44] {
-  background-color: #00D7D7
-}
-
-div.highlight .-Color[class*=-C45] {
-  color: #00D7FF
-}
-
-div.highlight .-Color[class*=-BGC45] {
-  background-color: #00D7FF
-}
-
-div.highlight .-Color[class*=-C46] {
-  color: #00FF00
-}
-
-div.highlight .-Color[class*=-BGC46] {
-  background-color: #00FF00
-}
-
-div.highlight .-Color[class*=-C47] {
-  color: #00FF5F
-}
-
-div.highlight .-Color[class*=-BGC47] {
-  background-color: #00FF5F
-}
-
-div.highlight .-Color[class*=-C48] {
-  color: #00FF87
-}
-
-div.highlight .-Color[class*=-BGC48] {
-  background-color: #00FF87
-}
-
-div.highlight .-Color[class*=-C49] {
-  color: #00FFAF
-}
-
-div.highlight .-Color[class*=-BGC49] {
-  background-color: #00FFAF
-}
-
-div.highlight .-Color[class*=-C50] {
-  color: #00FFD7
-}
-
-div.highlight .-Color[class*=-BGC50] {
-  background-color: #00FFD7
-}
-
-div.highlight .-Color[class*=-C51] {
-  color: #00FFFF
-}
-
-div.highlight .-Color[class*=-BGC51] {
-  background-color: #00FFFF
-}
-
-div.highlight .-Color[class*=-C52] {
-  color: #5F0000
-}
-
-div.highlight .-Color[class*=-BGC52] {
-  background-color: #5F0000
-}
-
-div.highlight .-Color[class*=-C53] {
-  color: #5F005F
-}
-
-div.highlight .-Color[class*=-BGC53] {
-  background-color: #5F005F
-}
-
-div.highlight .-Color[class*=-C54] {
-  color: #5F0087
-}
-
-div.highlight .-Color[class*=-BGC54] {
-  background-color: #5F0087
-}
-
-div.highlight .-Color[class*=-C55] {
-  color: #5F00AF
-}
-
-div.highlight .-Color[class*=-BGC55] {
-  background-color: #5F00AF
-}
-
-div.highlight .-Color[class*=-C56] {
-  color: #5F00D7
-}
-
-div.highlight .-Color[class*=-BGC56] {
-  background-color: #5F00D7
-}
-
-div.highlight .-Color[class*=-C57] {
-  color: #5F00FF
-}
-
-div.highlight .-Color[class*=-BGC57] {
-  background-color: #5F00FF
-}
-
-div.highlight .-Color[class*=-C58] {
-  color: #5F5F00
-}
-
-div.highlight .-Color[class*=-BGC58] {
-  background-color: #5F5F00
-}
-
-div.highlight .-Color[class*=-C59] {
-  color: #5F5F5F
-}
-
-div.highlight .-Color[class*=-BGC59] {
-  background-color: #5F5F5F
-}
-
-div.highlight .-Color[class*=-C60] {
-  color: #5F5F87
-}
-
-div.highlight .-Color[class*=-BGC60] {
-  background-color: #5F5F87
-}
-
-div.highlight .-Color[class*=-C61] {
-  color: #5F5FAF
-}
-
-div.highlight .-Color[class*=-BGC61] {
-  background-color: #5F5FAF
-}
-
-div.highlight .-Color[class*=-C62] {
-  color: #5F5FD7
-}
-
-div.highlight .-Color[class*=-BGC62] {
-  background-color: #5F5FD7
-}
-
-div.highlight .-Color[class*=-C63] {
-  color: #5F5FFF
-}
-
-div.highlight .-Color[class*=-BGC63] {
-  background-color: #5F5FFF
-}
-
-div.highlight .-Color[class*=-C64] {
-  color: #5F8700
-}
-
-div.highlight .-Color[class*=-BGC64] {
-  background-color: #5F8700
-}
-
-div.highlight .-Color[class*=-C65] {
-  color: #5F875F
-}
-
-div.highlight .-Color[class*=-BGC65] {
-  background-color: #5F875F
-}
-
-div.highlight .-Color[class*=-C66] {
-  color: #5F8787
-}
-
-div.highlight .-Color[class*=-BGC66] {
-  background-color: #5F8787
-}
-
-div.highlight .-Color[class*=-C67] {
-  color: #5F87AF
-}
-
-div.highlight .-Color[class*=-BGC67] {
-  background-color: #5F87AF
-}
-
-div.highlight .-Color[class*=-C68] {
-  color: #5F87D7
-}
-
-div.highlight .-Color[class*=-BGC68] {
-  background-color: #5F87D7
-}
-
-div.highlight .-Color[class*=-C69] {
-  color: #5F87FF
-}
-
-div.highlight .-Color[class*=-BGC69] {
-  background-color: #5F87FF
-}
-
-div.highlight .-Color[class*=-C70] {
-  color: #5FAF00
-}
-
-div.highlight .-Color[class*=-BGC70] {
-  background-color: #5FAF00
-}
-
-div.highlight .-Color[class*=-C71] {
-  color: #5FAF5F
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-
-div.highlight .-Color[class*=-BGC71] {
-  background-color: #5FAF5F
-}
-
-div.highlight .-Color[class*=-C72] {
-  color: #5FAF87
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-
-div.highlight .-Color[class*=-BGC72] {
-  background-color: #5FAF87
-}
-
-div.highlight .-Color[class*=-C73] {
-  color: #5FAFAF
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-
-div.highlight .-Color[class*=-BGC73] {
-  background-color: #5FAFAF
-}
-
-div.highlight .-Color[class*=-C74] {
-  color: #5FAFD7
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-
-div.highlight .-Color[class*=-BGC74] {
-  background-color: #5FAFD7
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-
-div.highlight .-Color[class*=-C75] {
-  color: #5FAFFF
-}
-
-div.highlight .-Color[class*=-BGC75] {
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-
-div.highlight .-Color[class*=-C76] {
-  color: #5FD700
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-
-div.highlight .-Color[class*=-BGC76] {
-  background-color: #5FD700
-}
-
-div.highlight .-Color[class*=-C77] {
-  color: #5FD75F
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-
-div.highlight .-Color[class*=-BGC77] {
-  background-color: #5FD75F
-}
-
-div.highlight .-Color[class*=-C78] {
-  color: #5FD787
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-
-div.highlight .-Color[class*=-BGC78] {
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-
-div.highlight .-Color[class*=-C79] {
-  color: #5FD7AF
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-
-div.highlight .-Color[class*=-BGC79] {
-  background-color: #5FD7AF
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-
-div.highlight .-Color[class*=-C80] {
-  color: #5FD7D7
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-
-div.highlight .-Color[class*=-BGC80] {
-  background-color: #5FD7D7
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-
-div.highlight .-Color[class*=-C81] {
-  color: #5FD7FF
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-div.highlight .-Color[class*=-BGC81] {
-  background-color: #5FD7FF
-}
-
-div.highlight .-Color[class*=-C82] {
-  color: #5FFF00
-}
-
-div.highlight .-Color[class*=-BGC82] {
-  background-color: #5FFF00
-}
-
-div.highlight .-Color[class*=-C83] {
-  color: #5FFF5F
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-
-div.highlight .-Color[class*=-BGC83] {
-  background-color: #5FFF5F
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-
-div.highlight .-Color[class*=-C84] {
-  color: #5FFF87
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-
-div.highlight .-Color[class*=-BGC84] {
-  background-color: #5FFF87
-}
-
-div.highlight .-Color[class*=-C85] {
-  color: #5FFFAF
-}
-
-div.highlight .-Color[class*=-BGC85] {
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-
-div.highlight .-Color[class*=-C86] {
-  color: #5FFFD7
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-div.highlight .-Color[class*=-BGC86] {
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-
-div.highlight .-Color[class*=-C87] {
-  color: #5FFFFF
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-
-div.highlight .-Color[class*=-BGC87] {
-  background-color: #5FFFFF
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-
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-  color: #870000
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-
-div.highlight .-Color[class*=-BGC88] {
-  background-color: #870000
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-
-div.highlight .-Color[class*=-C89] {
-  color: #87005F
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-
-div.highlight .-Color[class*=-BGC89] {
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-
-div.highlight .-Color[class*=-C90] {
-  color: #870087
-}
-
-div.highlight .-Color[class*=-BGC90] {
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-
-div.highlight .-Color[class*=-C91] {
-  color: #8700AF
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-
-div.highlight .-Color[class*=-BGC91] {
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-
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-  color: #8700D7
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-
-div.highlight .-Color[class*=-BGC92] {
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-
-div.highlight .-Color[class*=-C93] {
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-
-div.highlight .-Color[class*=-BGC93] {
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-
-div.highlight .-Color[class*=-C94] {
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-
-div.highlight .-Color[class*=-BGC94] {
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-
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-  color: #875F5F
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-
-div.highlight .-Color[class*=-BGC95] {
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-
-div.highlight .-Color[class*=-C96] {
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-
-div.highlight .-Color[class*=-BGC96] {
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-
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-
-div.highlight .-Color[class*=-BGC97] {
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-
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-
-div.highlight .-Color[class*=-BGC98] {
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-
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-  color: #875FFF
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-
-div.highlight .-Color[class*=-BGC99] {
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-
-div.highlight .-Color[class*=-C100] {
-  color: #878700
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-
-div.highlight .-Color[class*=-BGC100] {
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-
-div.highlight .-Color[class*=-C101] {
-  color: #87875F
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-
-div.highlight .-Color[class*=-BGC101] {
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-
-div.highlight .-Color[class*=-C102] {
-  color: #878787
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-
-div.highlight .-Color[class*=-BGC102] {
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-
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-  color: #8787AF
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-
-div.highlight .-Color[class*=-BGC103] {
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-
-div.highlight .-Color[class*=-C104] {
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-
-div.highlight .-Color[class*=-BGC104] {
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-
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-
-div.highlight .-Color[class*=-BGC105] {
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-
-div.highlight .-Color[class*=-C106] {
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-
-div.highlight .-Color[class*=-BGC106] {
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-
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-
-div.highlight .-Color[class*=-BGC107] {
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-
-div.highlight .-Color[class*=-C108] {
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-
-div.highlight .-Color[class*=-BGC108] {
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-
-div.highlight .-Color[class*=-C109] {
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-
-div.highlight .-Color[class*=-BGC109] {
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-
-div.highlight .-Color[class*=-C110] {
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-
-div.highlight .-Color[class*=-BGC110] {
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-
-div.highlight .-Color[class*=-C111] {
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-
-div.highlight .-Color[class*=-BGC111] {
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-
-div.highlight .-Color[class*=-C112] {
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-
-div.highlight .-Color[class*=-C113] {
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-
-div.highlight .-Color[class*=-BGC113] {
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-
-div.highlight .-Color[class*=-C114] {
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-div.highlight .-Color[class*=-BGC114] {
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-
-div.highlight .-Color[class*=-C115] {
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-
-div.highlight .-Color[class*=-BGC115] {
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-
-div.highlight .-Color[class*=-C116] {
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-
-div.highlight .-Color[class*=-BGC116] {
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-div.highlight .-Color[class*=-C117] {
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-div.highlight .-Color[class*=-BGC117] {
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-
-div.highlight .-Color[class*=-C118] {
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-
-div.highlight .-Color[class*=-BGC118] {
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-div.highlight .-Color[class*=-C119] {
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-div.highlight .-Color[class*=-BGC119] {
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-div.highlight .-Color[class*=-C120] {
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-div.highlight .-Color[class*=-BGC120] {
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-div.highlight .-Color[class*=-C121] {
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-
-div.highlight .-Color[class*=-BGC121] {
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-div.highlight .-Color[class*=-C122] {
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-div.highlight .-Color[class*=-BGC122] {
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-div.highlight .-Color[class*=-BGC124] {
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-div.highlight .-Color[class*=-C125] {
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-div.highlight .-Color[class*=-BGC125] {
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-div.highlight .-Color[class*=-C126] {
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-div.highlight .-Color[class*=-BGC126] {
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-
-div.highlight .-Color[class*=-C127] {
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-div.highlight .-Color[class*=-BGC127] {
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-div.highlight .-Color[class*=-C128] {
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-div.highlight .-Color[class*=-BGC128] {
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-div.highlight .-Color[class*=-C129] {
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-div.highlight .-Color[class*=-BGC129] {
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-div.highlight .-Color[class*=-C130] {
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-div.highlight .-Color[class*=-BGC130] {
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-div.highlight .-Color[class*=-C131] {
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-div.highlight .-Color[class*=-BGC131] {
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-div.highlight .-Color[class*=-C132] {
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-div.highlight .-Color[class*=-BGC132] {
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-div.highlight .-Color[class*=-C133] {
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-div.highlight .-Color[class*=-BGC133] {
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-div.highlight .-Color[class*=-C134] {
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-div.highlight .-Color[class*=-BGC134] {
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-div.highlight .-Color[class*=-BGC135] {
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-div.highlight .-Color[class*=-C136] {
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-div.highlight .-Color[class*=-BGC136] {
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-div.highlight .-Color[class*=-C137] {
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-div.highlight .-Color[class*=-BGC137] {
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-div.highlight .-Color[class*=-C138] {
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-div.highlight .-Color[class*=-BGC138] {
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-div.highlight .-Color[class*=-BGC139] {
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-div.highlight .-Color[class*=-C140] {
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-
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-  background-color: #AF87D7
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-
-div.highlight .-Color[class*=-C141] {
-  color: #AF87FF
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-
-div.highlight .-Color[class*=-BGC141] {
-  background-color: #AF87FF
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-
-div.highlight .-Color[class*=-C142] {
-  color: #AFAF00
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-
-div.highlight .-Color[class*=-BGC142] {
-  background-color: #AFAF00
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-
-div.highlight .-Color[class*=-C143] {
-  color: #AFAF5F
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-
-div.highlight .-Color[class*=-BGC143] {
-  background-color: #AFAF5F
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-
-div.highlight .-Color[class*=-C144] {
-  color: #AFAF87
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-
-div.highlight .-Color[class*=-BGC144] {
-  background-color: #AFAF87
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-
-div.highlight .-Color[class*=-C145] {
-  color: #AFAFAF
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-
-div.highlight .-Color[class*=-BGC145] {
-  background-color: #AFAFAF
-}
-
-div.highlight .-Color[class*=-C146] {
-  color: #AFAFD7
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-
-div.highlight .-Color[class*=-BGC146] {
-  background-color: #AFAFD7
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-
-div.highlight .-Color[class*=-C147] {
-  color: #AFAFFF
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-
-div.highlight .-Color[class*=-BGC147] {
-  background-color: #AFAFFF
-}
-
-div.highlight .-Color[class*=-C148] {
-  color: #AFD700
-}
-
-div.highlight .-Color[class*=-BGC148] {
-  background-color: #AFD700
-}
-
-div.highlight .-Color[class*=-C149] {
-  color: #AFD75F
-}
-
-div.highlight .-Color[class*=-BGC149] {
-  background-color: #AFD75F
-}
-
-div.highlight .-Color[class*=-C150] {
-  color: #AFD787
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-
-div.highlight .-Color[class*=-BGC150] {
-  background-color: #AFD787
-}
-
-div.highlight .-Color[class*=-C151] {
-  color: #AFD7AF
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-
-div.highlight .-Color[class*=-BGC151] {
-  background-color: #AFD7AF
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-
-div.highlight .-Color[class*=-C152] {
-  color: #AFD7D7
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-
-div.highlight .-Color[class*=-BGC152] {
-  background-color: #AFD7D7
-}
-
-div.highlight .-Color[class*=-C153] {
-  color: #AFD7FF
-}
-
-div.highlight .-Color[class*=-BGC153] {
-  background-color: #AFD7FF
-}
-
-div.highlight .-Color[class*=-C154] {
-  color: #AFFF00
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-
-div.highlight .-Color[class*=-BGC154] {
-  background-color: #AFFF00
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-
-div.highlight .-Color[class*=-C155] {
-  color: #AFFF5F
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-
-div.highlight .-Color[class*=-BGC155] {
-  background-color: #AFFF5F
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-
-div.highlight .-Color[class*=-C156] {
-  color: #AFFF87
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-
-div.highlight .-Color[class*=-BGC156] {
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-
-div.highlight .-Color[class*=-C157] {
-  color: #AFFFAF
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-
-div.highlight .-Color[class*=-BGC157] {
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-
-div.highlight .-Color[class*=-C158] {
-  color: #AFFFD7
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-
-div.highlight .-Color[class*=-BGC158] {
-  background-color: #AFFFD7
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-
-div.highlight .-Color[class*=-C159] {
-  color: #AFFFFF
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-
-div.highlight .-Color[class*=-BGC159] {
-  background-color: #AFFFFF
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-
-div.highlight .-Color[class*=-C160] {
-  color: #D70000
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-
-div.highlight .-Color[class*=-BGC160] {
-  background-color: #D70000
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-
-div.highlight .-Color[class*=-C161] {
-  color: #D7005F
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-
-div.highlight .-Color[class*=-BGC161] {
-  background-color: #D7005F
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-
-div.highlight .-Color[class*=-C162] {
-  color: #D70087
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-
-div.highlight .-Color[class*=-BGC162] {
-  background-color: #D70087
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-
-div.highlight .-Color[class*=-C163] {
-  color: #D700AF
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-
-div.highlight .-Color[class*=-BGC163] {
-  background-color: #D700AF
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-
-div.highlight .-Color[class*=-C164] {
-  color: #D700D7
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-
-div.highlight .-Color[class*=-BGC164] {
-  background-color: #D700D7
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-
-div.highlight .-Color[class*=-C165] {
-  color: #D700FF
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-
-div.highlight .-Color[class*=-BGC165] {
-  background-color: #D700FF
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-
-div.highlight .-Color[class*=-C166] {
-  color: #D75F00
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-
-div.highlight .-Color[class*=-BGC166] {
-  background-color: #D75F00
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-
-div.highlight .-Color[class*=-C167] {
-  color: #D75F5F
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-
-div.highlight .-Color[class*=-BGC167] {
-  background-color: #D75F5F
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-
-div.highlight .-Color[class*=-C168] {
-  color: #D75F87
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-
-div.highlight .-Color[class*=-BGC168] {
-  background-color: #D75F87
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-
-div.highlight .-Color[class*=-C169] {
-  color: #D75FAF
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-
-div.highlight .-Color[class*=-BGC169] {
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-
-div.highlight .-Color[class*=-C170] {
-  color: #D75FD7
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-
-div.highlight .-Color[class*=-BGC170] {
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-
-div.highlight .-Color[class*=-C171] {
-  color: #D75FFF
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-
-div.highlight .-Color[class*=-BGC171] {
-  background-color: #D75FFF
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-
-div.highlight .-Color[class*=-C172] {
-  color: #D78700
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-
-div.highlight .-Color[class*=-BGC172] {
-  background-color: #D78700
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-
-div.highlight .-Color[class*=-C173] {
-  color: #D7875F
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-
-div.highlight .-Color[class*=-BGC173] {
-  background-color: #D7875F
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-
-div.highlight .-Color[class*=-C174] {
-  color: #D78787
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-
-div.highlight .-Color[class*=-BGC174] {
-  background-color: #D78787
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-
-div.highlight .-Color[class*=-C175] {
-  color: #D787AF
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-
-div.highlight .-Color[class*=-BGC175] {
-  background-color: #D787AF
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-
-div.highlight .-Color[class*=-C176] {
-  color: #D787D7
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-
-div.highlight .-Color[class*=-BGC176] {
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-
-div.highlight .-Color[class*=-C177] {
-  color: #D787FF
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-
-div.highlight .-Color[class*=-BGC177] {
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-
-div.highlight .-Color[class*=-C178] {
-  color: #D7AF00
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-
-div.highlight .-Color[class*=-BGC178] {
-  background-color: #D7AF00
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-
-div.highlight .-Color[class*=-C179] {
-  color: #D7AF5F
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-
-div.highlight .-Color[class*=-BGC179] {
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-
-div.highlight .-Color[class*=-C180] {
-  color: #D7AF87
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-
-div.highlight .-Color[class*=-BGC180] {
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-
-div.highlight .-Color[class*=-C181] {
-  color: #D7AFAF
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-
-div.highlight .-Color[class*=-BGC181] {
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-
-div.highlight .-Color[class*=-C182] {
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-
-div.highlight .-Color[class*=-BGC182] {
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-
-div.highlight .-Color[class*=-C183] {
-  color: #D7AFFF
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-
-div.highlight .-Color[class*=-BGC183] {
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-
-div.highlight .-Color[class*=-C184] {
-  color: #D7D700
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-
-div.highlight .-Color[class*=-BGC184] {
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-
-div.highlight .-Color[class*=-C185] {
-  color: #D7D75F
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-
-div.highlight .-Color[class*=-BGC185] {
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-
-div.highlight .-Color[class*=-C186] {
-  color: #D7D787
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-div.highlight .-Color[class*=-BGC186] {
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-
-div.highlight .-Color[class*=-C187] {
-  color: #D7D7AF
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-div.highlight .-Color[class*=-BGC187] {
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-div.highlight .-Color[class*=-C188] {
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-div.highlight .-Color[class*=-BGC188] {
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-
-div.highlight .-Color[class*=-C189] {
-  color: #D7D7FF
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-div.highlight .-Color[class*=-BGC189] {
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-
-div.highlight .-Color[class*=-C190] {
-  color: #D7FF00
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-div.highlight .-Color[class*=-BGC190] {
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-div.highlight .-Color[class*=-C191] {
-  color: #D7FF5F
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-div.highlight .-Color[class*=-BGC191] {
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-div.highlight .-Color[class*=-C192] {
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-div.highlight .-Color[class*=-BGC192] {
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-
-div.highlight .-Color[class*=-C193] {
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-div.highlight .-Color[class*=-BGC193] {
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-div.highlight .-Color[class*=-C194] {
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-div.highlight .-Color[class*=-BGC194] {
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-div.highlight .-Color[class*=-C195] {
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-div.highlight .-Color[class*=-BGC195] {
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-
-div.highlight .-Color[class*=-BGC196] {
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-
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-  color: #FF005F
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-
-div.highlight .-Color[class*=-BGC197] {
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-  color: #FF0087
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-
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-div.highlight .-Color[class*=-BGC202] {
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-div.highlight .-Color[class*=-BGC203] {
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-div.highlight .-Color[class*=-BGC204] {
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-div.highlight .-Color[class*=-BGC206] {
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-
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-
-div.highlight .-Color[class*=-BGC209] {
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-div.highlight .-Color[class*=-BGC210] {
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-
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-div.highlight .-Color[class*=-BGC218] {
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-
-div.highlight .-Color[class*=-BGC219] {
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-div.highlight .-Color[class*=-BGC220] {
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-div.highlight .-Color[class*=-BGC221] {
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-div.highlight .-Color[class*=-BGC225] {
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-div.highlight .-Color[class*=-BGC227] {
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-div.highlight .-Color[class*=-BGC228] {
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-div.highlight .-Color[class*=-BGC231] {
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-div.highlight .-Color[class*=-BGC232] {
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-div.highlight .-Color[class*=-C233] {
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-div.highlight .-Color[class*=-BGC233] {
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-div.highlight .-Color[class*=-BGC234] {
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-div.highlight .-Color[class*=-BGC235] {
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-
-div.highlight .-Color[class*=-C236] {
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-div.highlight .-Color[class*=-BGC236] {
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-div.highlight .-Color[class*=-C237] {
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-div.highlight .-Color[class*=-BGC237] {
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-div.highlight .-Color[class*=-BGC238] {
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-div.highlight .-Color[class*=-C239] {
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-div.highlight .-Color[class*=-BGC239] {
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-div.highlight .-Color[class*=-BGC240] {
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-div.highlight .-Color[class*=-C241] {
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-div.highlight .-Color[class*=-BGC241] {
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-div.highlight .-Color[class*=-C242] {
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-div.highlight .-Color[class*=-BGC242] {
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-div.highlight .-Color[class*=-BGC243] {
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-div.highlight .-Color[class*=-C244] {
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-div.highlight .-Color[class*=-BGC244] {
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-div.highlight .-Color[class*=-C245] {
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-div.highlight .-Color[class*=-BGC245] {
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-div.highlight .-Color[class*=-BGC246] {
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-div.highlight .-Color[class*=-C247] {
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-div.highlight .-Color[class*=-BGC247] {
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-div.highlight .-Color[class*=-BGC248] {
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-div.highlight .-Color[class*=-BGC250] {
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-div.highlight .-Color[class*=-C251] {
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-div.highlight .-Color[class*=-BGC251] {
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-div.highlight .-Color[class*=-BGC252] {
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-
-div.highlight .-Color[class*=-C253] {
-  color: #DADADA
-}
-
-div.highlight .-Color[class*=-BGC253] {
-  background-color: #DADADA
-}
-
-div.highlight .-Color[class*=-C254] {
-  color: #E4E4E4
-}
-
-div.highlight .-Color[class*=-BGC254] {
-  background-color: #E4E4E4
-}
-
-div.highlight .-Color[class*=-C255] {
-  color: #EEEEEE
-}
-
-div.highlight .-Color[class*=-BGC255] {
-  background-color: #EEEEEE
-}
diff --git a/doc/build/html/genindex.html b/doc/build/html/genindex.html
index 7b36dde..5bf11e7 100644
--- a/doc/build/html/genindex.html
+++ b/doc/build/html/genindex.html
@@ -3,10 +3,9 @@
 <head>
   <meta charset="utf-8" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Index &mdash; Genes2Genes v1.0 documentation</title>
+  <title>Index &mdash; Genes2Genes v0.2.0 documentation</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
       <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
-      <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
 
   
   <!--[if lt IE 9]>
@@ -15,7 +14,7 @@
   
         <script src="_static/jquery.js?v=5d32c60e"></script>
         <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=99a04888"></script>
+        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=101dc097"></script>
         <script src="_static/doctools.js?v=888ff710"></script>
         <script src="_static/sphinx_highlight.js?v=4825356b"></script>
     <script src="_static/js/theme.js"></script>
diff --git a/doc/build/html/index.html b/doc/build/html/index.html
index c28c032..8824229 100644
--- a/doc/build/html/index.html
+++ b/doc/build/html/index.html
@@ -4,10 +4,9 @@
   <meta charset="utf-8" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Genes2Genes &mdash; Genes2Genes v1.0 documentation</title>
+  <title>Genes2Genes &mdash; Genes2Genes v0.2.0 documentation</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
       <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
-      <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
 
   
   <!--[if lt IE 9]>
@@ -16,7 +15,7 @@
   
         <script src="_static/jquery.js?v=5d32c60e"></script>
         <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=99a04888"></script>
+        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=101dc097"></script>
         <script src="_static/doctools.js?v=888ff710"></script>
         <script src="_static/sphinx_highlight.js?v=4825356b"></script>
     <script src="_static/js/theme.js"></script>
@@ -86,6 +85,7 @@ <h1><a class="toc-backref" href="#id1" role="doc-backlink">Genes2Genes</a><a cla
 </li>
 <li><p><a class="reference internal" href="#getting-started" id="id5">Getting started</a></p></li>
 <li><p><a class="reference internal" href="#citing-genes2genes" id="id6">Citing Genes2Genes</a></p></li>
+<li><p><a class="reference internal" href="#funding-acknowledgement" id="id7">Funding Acknowledgement</a></p></li>
 </ul>
 </nav>
 <p>Genes2Genes (G2G) is a new Python framework for aligning single-cell pseudotime trajectories of gene expression between any reference and query for a pairwise comparison such as:</p>
@@ -160,12 +160,17 @@ <h1><a class="toc-backref" href="#id5" role="doc-backlink">Getting started</a><a
 </ul>
 <p>The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as <a class="reference external" href="https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html">Diffusion pseudotime</a>, <a class="reference external" href="https://github.com/dpeerlab/Palantir">Palantir</a>,  <a class="reference external" href="https://pyro.ai/examples/gplvm.html">GPLVM</a>,  <a class="reference external" href="http://cole-trapnell-lab.github.io/monocle-release/">Monocle</a> etc.).
 For better visualisation and interpretation of the alignment results, we recommend the data to be annotated with their cell types (manually and/or using an automatic annotation tool such as <a class="reference external" href="https://www.celltypist.org">CellTypist</a>).</p>
-<p>Please refer to our <a class="reference internal" href="G2Gtutorial.html"><span class="doc">Tutorial</span></a> for an example analysis between a reference and query dataset from literature.</p>
+<p>Please refer to our <a class="reference external" href="https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb">Tutorial</a> for an example analysis between a reference and query dataset from literature.</p>
 </section>
 <section id="citing-genes2genes">
 <h1><a class="toc-backref" href="#id6" role="doc-backlink">Citing Genes2Genes</a><a class="headerlink" href="#citing-genes2genes" title="Permalink to this heading"></a></h1>
 <p>Our manuscript is currently available as a <a class="reference external" href="https://doi.org/10.1101/2023.03.08.531713">preprint</a> at bioRxiv:</p>
-<p><em>Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.</em> <strong>Gene-level alignment of single cell trajectories informs the progression of in vitro T cell differentiation</strong>. <em>bioRxiv, pp.2023-03.</em></p>
+<p><em>Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.</em> <strong>Gene-level alignment of single cell trajectories</strong>. <em>bioRxiv, pp.2023-03.</em></p>
+<p>This publication is part of the <a class="reference external" href="https://www.humancellatlas.org">Human Cell Atlas</a></p>
+</section>
+<section id="funding-acknowledgement">
+<h1><a class="toc-backref" href="#id7" role="doc-backlink">Funding Acknowledgement</a><a class="headerlink" href="#funding-acknowledgement" title="Permalink to this heading"></a></h1>
+<p>Marie Skłodowska-Curie grant agreement No: 101026506 (Marie Curie Individual Fellowship) under the European Union’s Horizon 2020 research and innovation programme; Wellcome Trust Ph.D. Fellowship for Clinicians; Wellcome Trust (WT206194); ERC Consolidator Grant (646794); Wellcome Sanger Institute’s Translation Committee Fund.</p>
 <div class="toctree-wrapper compound">
 </div>
 </section>
diff --git a/doc/build/html/notebooks/G2G_Tutorial.html b/doc/build/html/notebooks/G2G_Tutorial.html
deleted file mode 100644
index 561d1be..0000000
--- a/doc/build/html/notebooks/G2G_Tutorial.html
+++ /dev/null
@@ -1,1364 +0,0 @@
-<!DOCTYPE html>
-<html class="writer-html5" lang="en">
-<head>
-  <meta charset="utf-8" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
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-  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
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-
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-  <!--[if lt IE 9]>
-    <script src="../_static/js/html5shiv.min.js"></script>
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-<body class="wy-body-for-nav"> 
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-            <a href="../_sources/notebooks/G2G_Tutorial.ipynb.txt" rel="nofollow"> View page source</a>
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-  </ul>
-  <hr/>
-</div>
-          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
-           <div itemprop="articleBody">
-             
-  <div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">anndata</span>
-<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
-<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sb</span>
-<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
-<span class="kn">import</span> <span class="nn">platform</span>
-<span class="kn">from</span> <span class="nn">optbinning</span> <span class="kn">import</span> <span class="n">ContinuousOptimalBinning</span>
-
-<span class="kn">import</span> <span class="nn">Main</span>
-<span class="kn">import</span> <span class="nn">VisualUtils</span>
-<span class="kn">import</span> <span class="nn">ClusterUtils</span>
-<span class="kn">import</span> <span class="nn">TimeSeriesPreprocessor</span>
-<span class="kn">import</span> <span class="nn">PathwayAnalyserV2</span>
-
-<span class="nb">print</span><span class="p">(</span><span class="n">platform</span><span class="o">.</span><span class="n">python_version</span><span class="p">())</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
-<span class="ne">ModuleNotFoundError</span><span class="g g-Whitespace">                       </span>Traceback (most recent call last)
-<span class="nn">Input In [1],</span> in <span class="ni">&lt;cell line: 6&gt;</span><span class="nt">()</span>
-<span class="g g-Whitespace">      </span><span class="mi">4</span> <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
-<span class="g g-Whitespace">      </span><span class="mi">5</span> <span class="kn">import</span> <span class="nn">platform</span>
-<span class="ne">----&gt; </span><span class="mi">6</span> <span class="kn">from</span> <span class="nn">optbinning</span> <span class="kn">import</span> <span class="n">ContinuousOptimalBinning</span>
-<span class="g g-Whitespace">      </span><span class="mi">8</span> <span class="kn">import</span> <span class="nn">Main</span>
-<span class="g g-Whitespace">      </span><span class="mi">9</span> <span class="kn">import</span> <span class="nn">VisualUtils</span>
-
-<span class="ne">ModuleNotFoundError</span>: No module named &#39;optbinning&#39;
-</pre></div>
-</div>
-</div>
-</div>
-<p>Load the reference and query anndata objects</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">input_dir</span> <span class="o">=</span> <span class="s1">&#39;data/&#39;</span>
-<span class="n">adata_ref</span> <span class="o">=</span> <span class="n">anndata</span><span class="o">.</span><span class="n">read_h5ad</span><span class="p">(</span><span class="n">input_dir</span> <span class="o">+</span> <span class="s1">&#39;adata_pam_local.h5ad&#39;</span><span class="p">)</span> <span class="c1"># PAM dataset</span>
-<span class="n">adata_query</span> <span class="o">=</span> <span class="n">anndata</span><span class="o">.</span><span class="n">read_h5ad</span><span class="p">(</span><span class="n">input_dir</span> <span class="o">+</span><span class="s1">&#39;adata_lps_local.h5ad&#39;</span><span class="p">)</span> <span class="c1"># LPS dataset</span>
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">adata_ref</span><span class="p">)</span>
-<span class="nb">print</span><span class="p">(</span><span class="n">adata_query</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>AnnData object with n_obs × n_vars = 179 × 89
-    obs: &#39;time&#39;
-AnnData object with n_obs × n_vars = 290 × 89
-    obs: &#39;time&#39;
-</pre></div>
-</div>
-</div>
-</div>
-<section id="min-max-normalize-the-pseudotime">
-<h1>Min max normalize the pseudotime<a class="headerlink" href="#min-max-normalize-the-pseudotime" title="Permalink to this heading"></a></h1>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># check the current range</span>
-<span class="nb">print</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]),</span> <span class="nb">max</span><span class="p">(</span><span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]))</span>
-<span class="nb">print</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]),</span> <span class="nb">max</span><span class="p">(</span><span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]))</span>
-
-<span class="c1"># if it does not follow [0,1] range, run below</span>
-<span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">TimeSeriesPreprocessor</span><span class="o">.</span><span class="n">Utils</span><span class="o">.</span><span class="n">minmax_normalise</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]))</span>
-<span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">TimeSeriesPreprocessor</span><span class="o">.</span><span class="n">Utils</span><span class="o">.</span><span class="n">minmax_normalise</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]))</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.0 1.0
-0.0 1.0
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Visualize the pseudotime distributions</span>
-<span class="n">sb</span><span class="o">.</span><span class="n">kdeplot</span><span class="p">(</span><span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">],</span> <span class="n">fill</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;PAM&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;forestgreen&#39;</span><span class="p">)</span> 
-<span class="n">sb</span><span class="o">.</span><span class="n">kdeplot</span><span class="p">(</span><span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">],</span> <span class="n">fill</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;LPS&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;midnightblue&#39;</span><span class="p">);</span> 
-<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;pseudotime&#39;</span><span class="p">);</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">();</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/9f89830ecc564797d3b60b6b15f2bb6f522db808f9a2c22df9b53f0a2a67673c.png" src="../_images/9f89830ecc564797d3b60b6b15f2bb6f522db808f9a2c22df9b53f0a2a67673c.png" />
-</div>
-</div>
-</section>
-<section id="check-the-number-of-bins-in-the-optimal-binning-structure-using-optbinning-package">
-<h1>Check the number of bins in the optimal binning structure using OptBinning package<a class="headerlink" href="#check-the-number-of-bins-in-the-optimal-binning-structure-using-optbinning-package" title="Permalink to this heading"></a></h1>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="o">.</span><span class="n">time</span><span class="p">)</span>
-<span class="n">optb</span> <span class="o">=</span> <span class="n">ContinuousOptimalBinning</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">&#39;pseudotime&#39;</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;numerical&quot;</span><span class="p">)</span>
-<span class="n">optb</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
-<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">optb</span><span class="o">.</span><span class="n">splits</span><span class="p">))</span>
-
-<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="o">.</span><span class="n">time</span><span class="p">)</span>
-<span class="n">optb</span> <span class="o">=</span> <span class="n">ContinuousOptimalBinning</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">&#39;pseudotime&#39;</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;numerical&quot;</span><span class="p">)</span>
-<span class="n">optb</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
-<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">optb</span><span class="o">.</span><span class="n">splits</span><span class="p">))</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>14
-14
-</pre></div>
-</div>
-</div>
-</div>
-<p>OptBinning estimates 14 optimal number of splits for both reference and query pseudotime distributions. Therefore we choose the same number of interpolation points.</p>
-</section>
-<section id="visualize-the-interpolation-binning-structure-in-terms-of-the-cell-type-composition">
-<h1>Visualize the interpolation binning structure in terms of the cell type composition<a class="headerlink" href="#visualize-the-interpolation-binning-structure-in-terms-of-the-cell-type-composition" title="Permalink to this heading"></a></h1>
-<p>For this dataset, we use the author-given time annotations (1h,2h,4h,6h) as the cell-type annotations.</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">adata_ref</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;annotation&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">adata_ref</span><span class="o">.</span><span class="n">obs_names</span><span class="p">]</span> 
-<span class="n">adata_query</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="s1">&#39;annotation&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">adata_query</span><span class="o">.</span><span class="n">obs_names</span><span class="p">]</span> 
-</pre></div>
-</div>
-</div>
-</div>
-<p>Next we define a colormap of our choice for these annotations, and call the below function.</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">col</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sb</span><span class="o">.</span><span class="n">color_palette</span><span class="p">(</span><span class="s1">&#39;colorblind&#39;</span><span class="p">))[</span><span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">)]</span>
-<span class="n">joint_cmap</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;1h&#39;</span><span class="p">:</span><span class="n">col</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="s1">&#39;2h&#39;</span><span class="p">:</span><span class="n">col</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="p">,</span> <span class="s1">&#39;4h&#39;</span><span class="p">:</span><span class="n">col</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="p">,</span> <span class="s1">&#39;6h&#39;</span><span class="p">:</span><span class="n">col</span><span class="p">[</span><span class="mi">3</span><span class="p">]}</span>
-<span class="n">vs</span> <span class="o">=</span> <span class="n">VisualUtils</span><span class="o">.</span><span class="n">VisualUtils</span><span class="o">.</span><span class="n">get_celltype_composition_across_time</span><span class="p">(</span><span class="n">adata_ref</span><span class="p">,</span> <span class="n">adata_query</span><span class="p">,</span> <span class="n">n_points</span><span class="o">=</span><span class="mi">14</span><span class="p">,</span> 
-                                     <span class="n">ANNOTATION_COLNAME</span><span class="o">=</span><span class="s1">&#39;annotation&#39;</span><span class="p">,</span> <span class="n">optimal_binning</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">ref_cmap</span><span class="o">=</span><span class="n">joint_cmap</span><span class="p">,</span> <span class="n">query_cmap</span><span class="o">=</span><span class="n">joint_cmap</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span># trying max n points for optimal binning = 14
-====================================================
-Optimal equal number of bins for R and Q =  14
-</pre></div>
-</div>
-<img alt="../_images/1249cf2744ee0e02646e34175d71b6a67f9c42accae56a668d19e0b7878125e1.png" src="../_images/1249cf2744ee0e02646e34175d71b6a67f9c42accae56a668d19e0b7878125e1.png" />
-<img alt="../_images/0f49cc6ea04e7560f7e38ef277c43c473fb2c114edb9c923ec54746560932631.png" src="../_images/0f49cc6ea04e7560f7e38ef277c43c473fb2c114edb9c923ec54746560932631.png" />
-<img alt="../_images/c95cfd82d0a7db3db68f4105f9a6b9452a5d98606745711b11a9f9a91cc1ebfe.png" src="../_images/c95cfd82d0a7db3db68f4105f9a6b9452a5d98606745711b11a9f9a91cc1ebfe.png" />
-</div>
-</div>
-</section>
-<section id="run-g2g-alignment">
-<h1>Run G2G alignment<a class="headerlink" href="#run-g2g-alignment" title="Permalink to this heading"></a></h1>
-<p>We can now run Gene-level alignment for all 89 genes in the PAM and LPS datasets</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">gene_list</span> <span class="o">=</span> <span class="n">adata_ref</span><span class="o">.</span><span class="n">var_names</span> 
-<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">gene_list</span><span class="p">))</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>89
-</pre></div>
-</div>
-</div>
-</div>
-<p>This is done by first creating an aligner object, passing and setting all relevant parameters.
-Next we align all gene pairs. (This step is parallelizing indepedenent gene-alignments to make the process time-efficient, however the computational time for an individual alignment will increase as the number of cells and/or the number of interpolation time points increase.</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">aligner</span> <span class="o">=</span> <span class="n">Main</span><span class="o">.</span><span class="n">RefQueryAligner</span><span class="p">(</span><span class="n">adata_ref</span><span class="p">,</span> <span class="n">adata_query</span><span class="p">,</span> <span class="n">gene_list</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">vs</span><span class="o">.</span><span class="n">optimal_bining_S</span><span class="p">))</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">WEIGHT_BY_CELL_DENSITY</span> <span class="o">=</span> <span class="kc">True</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">WINDOW_SIZE</span><span class="o">=</span><span class="mf">0.1</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">state_params</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.99</span><span class="p">,</span><span class="mf">0.1</span><span class="p">,</span><span class="mf">0.7</span><span class="p">]</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">optimal_binning</span> <span class="o">=</span> <span class="kc">True</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">opt_binning_S</span> <span class="o">=</span> <span class="n">vs</span><span class="o">.</span><span class="n">optimal_bining_S</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">opt_binning_T</span> <span class="o">=</span> <span class="n">vs</span><span class="o">.</span><span class="n">optimal_bining_T</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">align_all_pairs</span><span class="p">()</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WINDOW_SIZE= 0.1
-</pre></div>
-</div>
-<script type="application/vnd.jupyter.widget-view+json">{"model_id": "793a80e659c84f4783d1e40a698b6af5", "version_major": 2, "version_minor": 0}</script></div>
-</div>
-<p>Now we can check the aggregate (average) alignment across all genes:</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">aligner</span><span class="o">.</span><span class="n">get_aggregate_alignment</span><span class="p">()</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Average Alignment:  IDDDMMMMMMMMMIIIDID
-</pre></div>
-</div>
-<img alt="../_images/4df0fb434f256a77fbd87625bbb67dcf1d4eefaffc075b69e6d86b2c48c7c0ae.png" src="../_images/4df0fb434f256a77fbd87625bbb67dcf1d4eefaffc075b69e6d86b2c48c7c0ae.png" />
-</div>
-</div>
-<p>We can also visualize this alignment in terms of cell-type composition</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">vs</span><span class="o">.</span><span class="n">visualize_gene_alignment</span><span class="p">(</span><span class="s2">&quot;IDDDMMMMMMMMMIIIDID&quot;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">joint_cmap</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/d11b5c10fdf30ee12f0ac9bf62662279b20b939402bac51e4535d3c62221aa56.png" src="../_images/d11b5c10fdf30ee12f0ac9bf62662279b20b939402bac51e4535d3c62221aa56.png" />
-</div>
-</div>
-<p>We can also visualize an individual gene (e.g. JUNB), displaying its alignment statistics</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">VisualUtils</span><span class="o">.</span><span class="n">show_gene_alignment</span><span class="p">(</span><span class="s1">&#39;TNF&#39;</span><span class="p">,</span> <span class="n">aligner</span><span class="p">,</span> <span class="n">vs</span><span class="p">,</span> <span class="n">joint_cmap</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>DDDIDIDIDDDMMMMMIIIIIID
-Optimal alignment cost: 57.99 nits
-Alignment similarity percentage: 21.74 %
-</pre></div>
-</div>
-<img alt="../_images/cb9d014d5019323a6c8df2f4490e4989b92f057d56da3fa55630e9f4c66c6e19.png" src="../_images/cb9d014d5019323a6c8df2f4490e4989b92f057d56da3fa55630e9f4c66c6e19.png" />
-<img alt="../_images/5fdca400912538b8363649e2dba555b9f552160bed25ad93b6dfa30ca6062120.png" src="../_images/5fdca400912538b8363649e2dba555b9f552160bed25ad93b6dfa30ca6062120.png" />
-</div>
-</div>
-<p>To check only the cell plots of a gene alignment (e.g. SERTAD2)</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">VisualUtils</span><span class="o">.</span><span class="n">plotTimeSeries</span><span class="p">(</span><span class="s1">&#39;SERTAD2&#39;</span><span class="p">,</span> <span class="n">aligner</span><span class="p">,</span> <span class="n">plot_cells</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/c33d27ce8286995c53cd6a7a98836cadf5656d37f278b032aebe6842729ea3f7.png" src="../_images/c33d27ce8286995c53cd6a7a98836cadf5656d37f278b032aebe6842729ea3f7.png" />
-</div>
-</div>
-<p>The below attributes and functions can be used to examine any gene-alignment object</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">GENE</span> <span class="o">=</span> <span class="s1">&#39;TNF&#39;</span>
-<span class="n">gene_obj</span> <span class="o">=</span> <span class="n">aligner</span><span class="o">.</span><span class="n">results_map</span><span class="p">[</span><span class="n">GENE</span><span class="p">]</span>
-
-<span class="n">al</span> <span class="o">=</span> <span class="n">gene_obj</span><span class="o">.</span><span class="n">alignment_str</span>
-<span class="nb">print</span><span class="p">(</span><span class="n">al</span><span class="p">)</span>
-<span class="nb">print</span><span class="p">(</span><span class="n">VisualUtils</span><span class="o">.</span><span class="n">color_al_str</span><span class="p">(</span><span class="n">al</span><span class="p">))</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>DDDIDIDIDDDMMMMMIIIIIID
-DDDIDIDIDDDMMMMMIIIIIID
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">gene_obj</span><span class="o">.</span><span class="n">al_visual</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>01234567890123456789012 Alignment index 
-012 3 4 56789012      3 Reference index
-***-*-*-********------*
----*-*-*---***********-
-   0 1 2   34567890123  Query index
-DDDIDIDIDDDMMMMMIIIIIID 5-state string 
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">gene_obj</span><span class="o">.</span><span class="n">landscape_obj</span><span class="o">.</span><span class="n">plot_alignment_landscape</span><span class="p">()</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/a918c2cd67d97aede6980dfc0dfea90a00647fd39f6428459a820fd078809147.png" src="../_images/a918c2cd67d97aede6980dfc0dfea90a00647fd39f6428459a820fd078809147.png" />
-</div>
-</div>
-</section>
-<section id="the-alignment-distribution-across-all-genes">
-<h1>The alignment distribution across all genes<a class="headerlink" href="#the-alignment-distribution-across-all-genes" title="Permalink to this heading"></a></h1>
-<p>We can use the alignment similarity percentage statistic of genes to rank genes from highly distant to highly similar</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">aligner</span><span class="o">.</span><span class="n">get_stat_df</span><span class="p">()</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>mean matched percentage: 
-50.39 %
-</pre></div>
-</div>
-<img alt="../_images/e57f23067cf79892be4203eaa502885c230fbc5fa7ceab708c80dfa868fec69f.png" src="../_images/e57f23067cf79892be4203eaa502885c230fbc5fa7ceab708c80dfa868fec69f.png" />
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">VisualUtils</span><span class="o">.</span><span class="n">plot_alignmentSim_vs_l2fc</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/e61f45f76bc238b5b30c279753d0ef2a9569dc5963df7686d832ee4c9f24eb31.png" src="../_images/e61f45f76bc238b5b30c279753d0ef2a9569dc5963df7686d832ee4c9f24eb31.png" />
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output text_html"><div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>Gene</th>
-      <th>alignment_similarity_percentage</th>
-      <th>opt_alignment_cost</th>
-      <th>l2fc</th>
-      <th>color</th>
-      <th>abs_l2fc</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>63</th>
-      <td>CCRL2</td>
-      <td>0.2174</td>
-      <td>55.943685</td>
-      <td>-0.487688</td>
-      <td>red</td>
-      <td>0.487688</td>
-    </tr>
-    <tr>
-      <th>77</th>
-      <td>NFKBIA</td>
-      <td>0.2174</td>
-      <td>54.673471</td>
-      <td>-0.091748</td>
-      <td>red</td>
-      <td>0.091748</td>
-    </tr>
-    <tr>
-      <th>68</th>
-      <td>NLRP3</td>
-      <td>0.2174</td>
-      <td>57.177548</td>
-      <td>0.069058</td>
-      <td>red</td>
-      <td>0.069058</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>TNF</td>
-      <td>0.2174</td>
-      <td>57.990078</td>
-      <td>-0.006439</td>
-      <td>red</td>
-      <td>0.006439</td>
-    </tr>
-    <tr>
-      <th>45</th>
-      <td>C5AR1</td>
-      <td>0.2727</td>
-      <td>57.858236</td>
-      <td>0.8711</td>
-      <td>red</td>
-      <td>0.8711</td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td>...</td>
-      <td>...</td>
-      <td>...</td>
-      <td>...</td>
-      <td>...</td>
-      <td>...</td>
-    </tr>
-    <tr>
-      <th>34</th>
-      <td>NUP54</td>
-      <td>0.75</td>
-      <td>30.744063</td>
-      <td>0.012993</td>
-      <td>green</td>
-      <td>0.012993</td>
-    </tr>
-    <tr>
-      <th>15</th>
-      <td>CD44</td>
-      <td>0.7647</td>
-      <td>28.366715</td>
-      <td>-0.021366</td>
-      <td>green</td>
-      <td>0.021366</td>
-    </tr>
-    <tr>
-      <th>19</th>
-      <td>PLAGL2</td>
-      <td>0.8235</td>
-      <td>31.807956</td>
-      <td>-0.051268</td>
-      <td>green</td>
-      <td>0.051268</td>
-    </tr>
-    <tr>
-      <th>51</th>
-      <td>ZSWIM4</td>
-      <td>0.8235</td>
-      <td>30.214575</td>
-      <td>0.030379</td>
-      <td>green</td>
-      <td>0.030379</td>
-    </tr>
-    <tr>
-      <th>26</th>
-      <td>SGMS2</td>
-      <td>0.8667</td>
-      <td>37.626682</td>
-      <td>-0.020399</td>
-      <td>green</td>
-      <td>0.020399</td>
-    </tr>
-  </tbody>
-</table>
-<p>89 rows × 6 columns</p>
-</div></div></div>
-</div>
-</section>
-<section id="run-gene-set-overrepresentation-analysis-over-the-top-k-mismatching-genes">
-<h1>Run gene set overrepresentation analysis over the top k mismatching genes<a class="headerlink" href="#run-gene-set-overrepresentation-analysis-over-the-top-k-mismatching-genes" title="Permalink to this heading"></a></h1>
-<p>Let us use 30% alignment similarity (=0.3) as a threshold in this case</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">topDEgenes</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="nb">list</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;alignment_similarity_percentage&#39;</span><span class="p">]</span> <span class="o">&lt;=</span><span class="mf">0.3</span><span class="p">)][</span><span class="s1">&#39;Gene&#39;</span><span class="p">]</span>
-<span class="n">topDEgenes</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>63      CCRL2
-77     NFKBIA
-68      NLRP3
-3         TNF
-45      C5AR1
-84    SPATA13
-33      CXCL2
-12     RALGDS
-31     INSIG1
-6       MALT1
-Name: Gene, dtype: object
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pathway_df</span> <span class="o">=</span> <span class="n">PathwayAnalyserV2</span><span class="o">.</span><span class="n">run_overrepresentation_analysis</span><span class="p">(</span><span class="n">topDEgenes</span><span class="p">)</span> <span class="c1"># this is a wrapper function call for GSEAPy enrichr inferface</span>
-<span class="n">pathway_df</span><span class="p">[</span><span class="n">pathway_df</span><span class="p">[</span><span class="s1">&#39;Adjusted P-value&#39;</span><span class="p">]</span><span class="o">&lt;</span><span class="mf">0.001</span><span class="p">]</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output text_html"><div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>Gene_set</th>
-      <th>Term</th>
-      <th>Overlap</th>
-      <th>P-value</th>
-      <th>Adjusted P-value</th>
-      <th>Old P-value</th>
-      <th>Old Adjusted P-value</th>
-      <th>Odds Ratio</th>
-      <th>Combined Score</th>
-      <th>Genes</th>
-      <th>-log10 Adjusted P-value</th>
-      <th>-log10 FDR q-val</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>13</th>
-      <td>KEGG_2021_Human</td>
-      <td>C-type lectin receptor signaling pathway</td>
-      <td>4/104</td>
-      <td>1.414253e-07</td>
-      <td>0.000007</td>
-      <td>0</td>
-      <td>0</td>
-      <td>132.600000</td>
-      <td>2091.300110</td>
-      <td>NFKBIA;NLRP3;TNF;MALT1</td>
-      <td>5.182020</td>
-      <td>5.182020</td>
-    </tr>
-    <tr>
-      <th>14</th>
-      <td>KEGG_2021_Human</td>
-      <td>NF-kappa B signaling pathway</td>
-      <td>4/104</td>
-      <td>1.414253e-07</td>
-      <td>0.000007</td>
-      <td>0</td>
-      <td>0</td>
-      <td>132.600000</td>
-      <td>2091.300110</td>
-      <td>NFKBIA;TNF;CXCL2;MALT1</td>
-      <td>5.182020</td>
-      <td>5.182020</td>
-    </tr>
-    <tr>
-      <th>0</th>
-      <td>MSigDB_Hallmark_2020</td>
-      <td>TNF-alpha Signaling via NF-kB</td>
-      <td>4/200</td>
-      <td>1.944057e-06</td>
-      <td>0.000013</td>
-      <td>0</td>
-      <td>0</td>
-      <td>67.326531</td>
-      <td>885.393278</td>
-      <td>NFKBIA;CCRL2;TNF;CXCL2</td>
-      <td>4.898378</td>
-      <td>4.898378</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>MSigDB_Hallmark_2020</td>
-      <td>Inflammatory Response</td>
-      <td>4/200</td>
-      <td>1.944057e-06</td>
-      <td>0.000013</td>
-      <td>0</td>
-      <td>0</td>
-      <td>67.326531</td>
-      <td>885.393278</td>
-      <td>NFKBIA;C5AR1;CCRL2;NLRP3</td>
-      <td>4.898378</td>
-      <td>4.898378</td>
-    </tr>
-    <tr>
-      <th>15</th>
-      <td>KEGG_2021_Human</td>
-      <td>NOD-like receptor signaling pathway</td>
-      <td>4/181</td>
-      <td>1.305897e-06</td>
-      <td>0.000040</td>
-      <td>0</td>
-      <td>0</td>
-      <td>74.625235</td>
-      <td>1011.068962</td>
-      <td>NFKBIA;NLRP3;TNF;CXCL2</td>
-      <td>4.392729</td>
-      <td>4.392729</td>
-    </tr>
-    <tr>
-      <th>16</th>
-      <td>KEGG_2021_Human</td>
-      <td>Lipid and atherosclerosis</td>
-      <td>4/215</td>
-      <td>2.592326e-06</td>
-      <td>0.000048</td>
-      <td>0</td>
-      <td>0</td>
-      <td>62.492891</td>
-      <td>803.843248</td>
-      <td>NFKBIA;NLRP3;TNF;CXCL2</td>
-      <td>4.316101</td>
-      <td>4.316101</td>
-    </tr>
-    <tr>
-      <th>17</th>
-      <td>KEGG_2021_Human</td>
-      <td>Legionellosis</td>
-      <td>3/57</td>
-      <td>2.596486e-06</td>
-      <td>0.000048</td>
-      <td>0</td>
-      <td>0</td>
-      <td>158.222222</td>
-      <td>2034.951617</td>
-      <td>NFKBIA;TNF;CXCL2</td>
-      <td>4.316101</td>
-      <td>4.316101</td>
-    </tr>
-    <tr>
-      <th>18</th>
-      <td>KEGG_2021_Human</td>
-      <td>Coronavirus disease</td>
-      <td>4/232</td>
-      <td>3.507534e-06</td>
-      <td>0.000054</td>
-      <td>0</td>
-      <td>0</td>
-      <td>57.783626</td>
-      <td>725.796849</td>
-      <td>NFKBIA;C5AR1;NLRP3;TNF</td>
-      <td>4.264666</td>
-      <td>4.264666</td>
-    </tr>
-    <tr>
-      <th>19</th>
-      <td>KEGG_2021_Human</td>
-      <td>Shigellosis</td>
-      <td>4/246</td>
-      <td>4.425543e-06</td>
-      <td>0.000059</td>
-      <td>0</td>
-      <td>0</td>
-      <td>54.402204</td>
-      <td>670.676767</td>
-      <td>NFKBIA;NLRP3;TNF;MALT1</td>
-      <td>4.230649</td>
-      <td>4.230649</td>
-    </tr>
-    <tr>
-      <th>20</th>
-      <td>KEGG_2021_Human</td>
-      <td>IL-17 signaling pathway</td>
-      <td>3/94</td>
-      <td>1.177987e-05</td>
-      <td>0.000137</td>
-      <td>0</td>
-      <td>0</td>
-      <td>93.715856</td>
-      <td>1063.592345</td>
-      <td>NFKBIA;TNF;CXCL2</td>
-      <td>3.863467</td>
-      <td>3.863467</td>
-    </tr>
-    <tr>
-      <th>21</th>
-      <td>KEGG_2021_Human</td>
-      <td>T cell receptor signaling pathway</td>
-      <td>3/104</td>
-      <td>1.596141e-05</td>
-      <td>0.000165</td>
-      <td>0</td>
-      <td>0</td>
-      <td>84.394625</td>
-      <td>932.167056</td>
-      <td>NFKBIA;TNF;MALT1</td>
-      <td>3.782688</td>
-      <td>3.782688</td>
-    </tr>
-    <tr>
-      <th>22</th>
-      <td>KEGG_2021_Human</td>
-      <td>TNF signaling pathway</td>
-      <td>3/112</td>
-      <td>1.993521e-05</td>
-      <td>0.000185</td>
-      <td>0</td>
-      <td>0</td>
-      <td>78.169069</td>
-      <td>846.025656</td>
-      <td>NFKBIA;TNF;CXCL2</td>
-      <td>3.731896</td>
-      <td>3.731896</td>
-    </tr>
-    <tr>
-      <th>23</th>
-      <td>KEGG_2021_Human</td>
-      <td>Yersinia infection</td>
-      <td>3/137</td>
-      <td>3.642707e-05</td>
-      <td>0.000308</td>
-      <td>0</td>
-      <td>0</td>
-      <td>63.505330</td>
-      <td>649.037070</td>
-      <td>NFKBIA;NLRP3;TNF</td>
-      <td>3.511485</td>
-      <td>3.511485</td>
-    </tr>
-    <tr>
-      <th>24</th>
-      <td>KEGG_2021_Human</td>
-      <td>Influenza A</td>
-      <td>3/172</td>
-      <td>7.174680e-05</td>
-      <td>0.000556</td>
-      <td>0</td>
-      <td>0</td>
-      <td>50.264582</td>
-      <td>479.643099</td>
-      <td>NFKBIA;NLRP3;TNF</td>
-      <td>3.254896</td>
-      <td>3.254896</td>
-    </tr>
-    <tr>
-      <th>25</th>
-      <td>KEGG_2021_Human</td>
-      <td>Pathogenic Escherichia coli infection</td>
-      <td>3/197</td>
-      <td>1.073310e-04</td>
-      <td>0.000768</td>
-      <td>0</td>
-      <td>0</td>
-      <td>43.731959</td>
-      <td>399.692315</td>
-      <td>NFKBIA;NLRP3;TNF</td>
-      <td>3.114735</td>
-      <td>3.114735</td>
-    </tr>
-  </tbody>
-</table>
-</div></div></div>
-</div>
-</section>
-<section id="clustering-genes-using-their-alignments">
-<h1>Clustering genes using their alignments<a class="headerlink" href="#clustering-genes-using-their-alignments" title="Permalink to this heading"></a></h1>
-<p>We first run cluster diagnostics to decide on a distance threshold with a good tradeoff between the number of clusters and the quality of structure. We use levenshtein distance metric</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Running experiment to determine the distance threshold with a good trade-off</span>
-<span class="n">df</span> <span class="o">=</span> <span class="n">ClusterUtils</span><span class="o">.</span><span class="n">run_clustering</span><span class="p">(</span><span class="n">aligner</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s1">&#39;levenshtein&#39;</span><span class="p">,</span> <span class="n">experiment_mode</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>compute distance matrix
-using levenshtein distance metric
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 68%|██████▊   | 67/99 [00:00&lt;00:00, 248.94it/s]
-</pre></div>
-</div>
-<img alt="../_images/a26fdcf8a6a8dac35b6be3103d34a63301abebd8099ef415b6fb37c05291d90e.png" src="../_images/a26fdcf8a6a8dac35b6be3103d34a63301abebd8099ef415b6fb37c05291d90e.png" />
-</div>
-</div>
-<p>We can inspect structures of distance thresholds that give local optimals of the mean silhouette score.</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;Mean Silhouette Score&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">0.37</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;Distance threshold&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output text_html"><div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
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-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>Distance threshold</th>
-      <th>Mean Silhouette Score</th>
-      <th>Number of clusters</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>66</th>
-      <td>0.67</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>65</th>
-      <td>0.66</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>64</th>
-      <td>0.65</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>63</th>
-      <td>0.64</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>62</th>
-      <td>0.63</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>61</th>
-      <td>0.62</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>60</th>
-      <td>0.61</td>
-      <td>0.371279</td>
-      <td>2.0</td>
-    </tr>
-    <tr>
-      <th>59</th>
-      <td>0.60</td>
-      <td>0.395886</td>
-      <td>3.0</td>
-    </tr>
-    <tr>
-      <th>58</th>
-      <td>0.59</td>
-      <td>0.395886</td>
-      <td>3.0</td>
-    </tr>
-    <tr>
-      <th>57</th>
-      <td>0.58</td>
-      <td>0.395886</td>
-      <td>3.0</td>
-    </tr>
-    <tr>
-      <th>56</th>
-      <td>0.57</td>
-      <td>0.395886</td>
-      <td>3.0</td>
-    </tr>
-    <tr>
-      <th>55</th>
-      <td>0.56</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>54</th>
-      <td>0.55</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>53</th>
-      <td>0.54</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>52</th>
-      <td>0.53</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>51</th>
-      <td>0.52</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>50</th>
-      <td>0.51</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>49</th>
-      <td>0.50</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>48</th>
-      <td>0.49</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>47</th>
-      <td>0.48</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>46</th>
-      <td>0.47</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>45</th>
-      <td>0.46</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>44</th>
-      <td>0.45</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>43</th>
-      <td>0.44</td>
-      <td>0.391956</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th>39</th>
-      <td>0.40</td>
-      <td>0.374176</td>
-      <td>6.0</td>
-    </tr>
-    <tr>
-      <th>38</th>
-      <td>0.39</td>
-      <td>0.374176</td>
-      <td>6.0</td>
-    </tr>
-    <tr>
-      <th>37</th>
-      <td>0.38</td>
-      <td>0.374176</td>
-      <td>6.0</td>
-    </tr>
-    <tr>
-      <th>36</th>
-      <td>0.37</td>
-      <td>0.374944</td>
-      <td>7.0</td>
-    </tr>
-    <tr>
-      <th>9</th>
-      <td>0.10</td>
-      <td>0.384710</td>
-      <td>57.0</td>
-    </tr>
-    <tr>
-      <th>8</th>
-      <td>0.09</td>
-      <td>0.398382</td>
-      <td>65.0</td>
-    </tr>
-    <tr>
-      <th>7</th>
-      <td>0.08</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>6</th>
-      <td>0.07</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>5</th>
-      <td>0.06</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>0.05</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>0.04</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>0.03</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>0.02</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-    <tr>
-      <th>0</th>
-      <td>0.01</td>
-      <td>0.415730</td>
-      <td>68.0</td>
-    </tr>
-  </tbody>
-</table>
-</div></div></div>
-</div>
-<p>If we select distance threshold 0.37 which gives a local optimal of 0.3749 silhouette_score with 7 clusters</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ClusterUtils</span><span class="o">.</span><span class="n">run_clustering</span><span class="p">(</span><span class="n">aligner</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s1">&#39;levenshtein&#39;</span><span class="p">,</span> <span class="n">DIST_THRESHOLD</span><span class="o">=</span><span class="mf">0.37</span><span class="p">)</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>compute distance matrix
-using levenshtein distance metric
-run agglomerative clustering |  0.37
-silhouette_score:  0.37494418907841714
-</pre></div>
-</div>
-</div>
-</div>
-<p>Below visualizes all alignment paths in each cluster along with its number of genes</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ClusterUtils</span><span class="o">.</span><span class="n">visualise_clusters</span><span class="p">(</span><span class="n">aligner</span><span class="p">,</span><span class="n">n_cols</span> <span class="o">=</span> <span class="mi">4</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/ac99bfa573fced861e8c64a8641ff4621e879cafff89c1082a13d55a64e506d6.png" src="../_images/ac99bfa573fced861e8c64a8641ff4621e879cafff89c1082a13d55a64e506d6.png" />
-</div>
-</div>
-<p>Below is the Levenshtein distance heat map of all genes ordered based on the above clustering structure</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">VisualUtils</span><span class="o">.</span><span class="n">plot_distmap_with_clusters</span><span class="p">(</span><span class="n">aligner</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<img alt="../_images/58f3c09a4c27a161a12922d47eafa60f7e08d0879ce897dc6366bc05fe4d6ce3.png" src="../_images/58f3c09a4c27a161a12922d47eafa60f7e08d0879ce897dc6366bc05fe4d6ce3.png" />
-</div>
-</div>
-<p>Print the cluster-specific aggregate (average) alignments for each cluster along with its number of genes</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ClusterUtils</span><span class="o">.</span><span class="n">print_cluster_average_alignments</span><span class="p">(</span><span class="n">aligner</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>cluster:  0 IDDDMMMMMMMMIIIIIDDD 18
-cluster:  1 IIIDIDIDIDIDDDMMMMMMM 3
-cluster:  2 IDDDMMMMMMMMMMIIDI 36
-cluster:  3 IDDDMMMMMIMVVVVVIDDDDD 12
-cluster:  4 IIIDDDDDDDMMMMMMIIIIID 12
-cluster:  5 IIIDIDIDDDDDDMMMMVMVVM 2
-cluster:  6 DDMMMMMMMMIIMMMM 6
-</pre></div>
-</div>
-</div>
-</div>
-</section>
-<section id="gene-set-specific-alignments">
-<h1>Gene-set specific alignments<a class="headerlink" href="#gene-set-specific-alignments" title="Permalink to this heading"></a></h1>
-<p>We can obtain the aggregate (average) alignment for any given gene subset in the aligner</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">GENE_SUBSET</span> <span class="o">=</span> <span class="n">gene_list</span><span class="p">[</span><span class="mi">40</span><span class="p">:</span><span class="mi">60</span><span class="p">]</span>
-<span class="n">aligner</span><span class="o">.</span><span class="n">get_aggregate_alignment_for_subset</span><span class="p">(</span><span class="n">GENE_SUBSET</span> <span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Average Alignment:  IDDDMMMMMMMIIDIIIIDDD
-</pre></div>
-</div>
-<img alt="../_images/561939030134240ae731fdaf091e92c989c5dc668ccb71cab3fb1008ddadfc4c.png" src="../_images/561939030134240ae731fdaf091e92c989c5dc668ccb71cab3fb1008ddadfc4c.png" />
-</div>
-</div>
-<p>We can check aggregate alignment and statistics of a pathway gene set with below provided wrapper function calls to retrieve pathway gene sets</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">IGS</span> <span class="o">=</span> <span class="n">PathwayAnalyserV2</span><span class="o">.</span><span class="n">InterestingGeneSets</span><span class="p">(</span><span class="n">MSIGDB_PATH</span><span class="o">=</span><span class="s1">&#39;../MSIGDB/msigdb7.5.1/&#39;</span><span class="p">)</span>
-<span class="n">IGS</span><span class="o">.</span><span class="n">add_new_set_from_msigdb</span><span class="p">(</span><span class="s1">&#39;hallmark&#39;</span><span class="p">,</span> <span class="s1">&#39;HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION&#39;</span><span class="p">,</span> <span class="n">aligner</span><span class="o">.</span><span class="n">gene_list</span><span class="p">,</span> <span class="s1">&#39;EMT&#39;</span><span class="p">)</span>   
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">PathwayAnalyserV2</span><span class="o">.</span><span class="n">get_pathway_alignment_stat</span><span class="p">(</span><span class="n">aligner</span><span class="p">,</span> <span class="n">IGS</span><span class="o">.</span><span class="n">SETS</span><span class="p">[</span><span class="s1">&#39;EMT&#39;</span><span class="p">],</span> <span class="s1">&#39;EMT&#39;</span><span class="p">,</span> <span class="n">cluster</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">FIGSIZE</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>mean matched percentage:  51.04 %
-mean matched percentage wrt ref:  64.29 %
-mean matched percentage wrt query:  67.14 %
-Average Alignment:  IDDDMMMMMMMMMMIMI
-Z-normalised Interpolated mean trends
-</pre></div>
-</div>
-<img alt="../_images/21bde91f0cf441f6e0b83164dc91ae20106399b58b59ea446fe1360130b89d59.png" src="../_images/21bde91f0cf441f6e0b83164dc91ae20106399b58b59ea446fe1360130b89d59.png" />
-<img alt="../_images/72ff20b01b33de3342d3d0b25986dba1f16ca456780e54094b50ff646bcfe058.png" src="../_images/72ff20b01b33de3342d3d0b25986dba1f16ca456780e54094b50ff646bcfe058.png" />
-</div>
-</div>
-</section>
-<section id="complementary-functions">
-<h1>Complementary functions<a class="headerlink" href="#complementary-functions" title="Permalink to this heading"></a></h1>
-<p>Show all alignments</p>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">aligner</span><span class="o">.</span><span class="n">show_ordered_alignments</span><span class="p">()</span> 
-</pre></div>
-</div>
-</div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Gene      Alignment
---------  ------------------------
-PTAFR     MDDMMMMMMMMMMIIDI
-OSBPL3    MDMMMMMMVVVVVVDIDDDDD
-RFFL      MDDDMMMMMMMMMMIII
-TNFAIP2   MDDMMMMMMMIIDIIIIDDD
-SGMS2     DMMMMMMMMMMMMIM
-SLC16A10  DMMMMMMMMMMMIIIDD
-FPR1      DMMMMMMMMMIIDIIIDDD
-FAM20C    DMMMMMMMMDDDMMIIII
-CLEC4D    IMMDIDMMMMMMMIIIDDD
-TSHZ1     DDMMMMMMMVVVVVVIDDDDD
-IL1F9     DDMMMMMMMVVVVVVIDDDDD
-PSTPIP2   DDMMMMMMMVVVVVIDIDDDD
-RELA      DDMMMMMMMMMMMMII
-NUP54     DDMMMMMMMMMMMMII
-DDHD1     DDMMMMMMMMMMMMII
-NRP2      DDMMMMMMMMMMMIIID
-TREM1     DDMMMMMMMMMIIDIIIDD
-GRAMD1B   DDMMMMMMMMMIIMMM
-TOP1      DDMMMMMMMMIDIIIIIDDD
-ICOSL     DDMMMMMMMMIIMMMM
-DUSP16    DDMMMMMMMMIIMMMM
-PTPRE     DDMMMMMMMMIIIIIIDDDD
-LDLR      DDMMMMMMMMIIDIIIIDDD
-TNIP1     DDMMMMMMMMIIIIIIDDDD
-PLAGL2    DDDMMMMMMMMMMMVVV
-ZSWIM4    DDDMMMMMMMMMMMVVV
-ZC3H12C   DDDMMMMMMVVVVVVVIDDDDD
-AK150559  DDDMMMMMVVVVVVVVIDDDDDD
-F10       IDDMMMMVVVVVVVVIDDDDDDDD
-FAM108C   DDDMMMMMMMMMMMIII
-RBM7      DDDMMMMMMMMMMMIII
-RASA2     DDDMMMMMMMMMMMIII
-SLC25A37  DDDMMMMMMMMMMMIII
-IRAK-2    DDDMMMMMMMMMMIIIID
-PLEKHO2   DDDMMMMMMMMMMIIIID
-LCP2      DDDMMMMMMMMMIIIIIDD
-TRIM13    DDDMMMMMMMMMIIIMM
-PTX3      DDDMMMMMMIIIMMMMM
-SPATA13   IDDMMMMMMIDIIIIIIDDDDD
-BCL2L11   IDDMMMDMMMMMMMMII
-CD44      DDIDMMMMMMMMMMMVV
-AK163103  DDIDMMMMMMVVVVVVIDDDDD
-LZTFL1    DDIDMMMMMMVVVVVVIDDDDD
-IRAK3     DDIDMMMMMVVVVVVIIDDDDDD
-ARG2      DDIDMMMMMMMMMMMII
-ZEB2      DDIDMMMMMMMMMMIIID
-TLR2      DDIDMMMMMMMMMMIIID
-MCOLN2    DDIDMMMMMMMMMMIIID
-CPD       IDIDMMMMMMMMMIIIDDD
-RCAN1     DDDDMMMMMMMIIIMMMI
-PILRA     DDIDMMMMMMMIDIIIIIDDD
-ARHGEF3   DDIDMMMMMMMIIMMMM
-C5AR1     IIIDMMMMMMIIIIIDDDDDDD
-SLC39A14  DDIDMMMMMMDDMMMIIII
-CLCN7     DDDIDMMMMMMVVVVVVIDDDD
-BC031781  DDDIDMMMMMMMMMIIIID
-NUPR1     DDDIDMMMMMMMMMIIIID
-CDC42EP4  DDDIDMMMMMMMMMIIIID
-NFKBIE    DDDIDMMMMMMMMIIIMM
-PLSCR1    DDDIDMMMMMMMMIIIIIDD
-NCK1      DDDIDMMMMMMMMIIIMM
-ADORA2B   DDDIDMMMMMMMMIIIIIDD
-ORAI2     DDDIDMMMMMMMIIIIIIDDD
-KLF7      DDDIDMMMMMMMIIIIIIDDD
-NIACR1    DDDIDDMMMMVVVVVVVVIDDDDD
-PDE4B     DDDIDDMMMMMMMMMIIII
-SERTAD2   DDDIDDMMMMMMMMIIIIID
-CXCL1     DDDIDDMMMMMMMIIIIIIDD
-MPP5      DDDIDDMMMMMIIMMMIIID
-TGM2      DDDIDIDMMMMMMMMMIII
-PIP5K1A   IDDIDIDMMMMMMMMMIID
-FLRT3     DDDIDDDMMMMMMMMIIIII
-SOCS3     DDDIDDDDMMMVVVVVIMMMM
-TNFAIP3   DDDIDDDDMMMMMMMIIIIII
-RASGEF1B  DDDIDDDDMMMMMMMIIIIII
-SLC25A25  DDDIDDDDMMMMMMIIIIIIM
-INSIG1    DDDIDDDDMMMMMMIIIIIIID
-CXCL2     DDDIDIDDMMMMMMIIIIIIDD
-MALT1     DDDIDIDDDMMMMMMIIIIIID
-RALGDS    DDDIDIDDDMMMMMMIIIIIID
-H1F0      DDDIDIDIDMMMMMIIIMMM
-IL1A      DDDIDIDIDDMMMMMMMIIII
-NLRP3     DDDIDIDIDDMMMMMIIIIIIDD
-TNF       DDDIDIDIDDDMMMMMIIIIIID
-NFKBIA    DDDIDIDIDDDMMMMMIIIIIID
-PLK2      IIIDIDIDIDDDMMMMMMMID
-NFKBIZ    DDDIDIDDDDDIVVVVVVVDMMMM
-NFKBID    IIIDIDIDIDDDDMMMMMMMI
-CCRL2     IIIDIDIDIDIIIDDDDDMMMMM
-</pre></div>
-</div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>30      PTAFR
-40     OSBPL3
-74       RFFL
-80    TNFAIP2
-26      SGMS2
-       ...   
-77     NFKBIA
-81       PLK2
-88     NFKBIZ
-46     NFKBID
-63      CCRL2
-Name: genes, Length: 89, dtype: object
-</pre></div>
-</div>
-</div>
-</div>
-</section>
-
-
-           </div>
-          </div>
-          <footer>
-
-  <hr/>
-
-  <div role="contentinfo">
-    <p>&#169; Copyright 2023, Dinithi Sumanaweera, Teichmann Lab.</p>
-  </div>
-
-  Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
-    <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
-    provided by <a href="https://readthedocs.org">Read the Docs</a>.
-   
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-</footer>
-        </div>
-      </div>
-    </section>
-  </div>
-  <script>
-      jQuery(function () {
-          SphinxRtdTheme.Navigation.enable(true);
-      });
-  </script> 
-
-</body>
-</html>
\ No newline at end of file
diff --git a/doc/build/html/objects.inv b/doc/build/html/objects.inv
index a62d29e..30d2d38 100644
Binary files a/doc/build/html/objects.inv and b/doc/build/html/objects.inv differ
diff --git a/doc/build/html/reports/notebooks/G2G_Tutorial.err.log b/doc/build/html/reports/notebooks/G2G_Tutorial.err.log
deleted file mode 100644
index c82db1b..0000000
--- a/doc/build/html/reports/notebooks/G2G_Tutorial.err.log
+++ /dev/null
@@ -1,47 +0,0 @@
-Traceback (most recent call last):
-  File "/opt/conda/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 58, in single_nb_execution
-    executenb(
-  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 1112, in execute
-    return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
-  File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
-    return just_run(coro(*args, **kwargs))
-  File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
-    return loop.run_until_complete(coro)
-  File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
-    return future.result()
-  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 553, in async_execute
-    await self.async_execute_cell(
-  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 857, in async_execute_cell
-    self._check_raise_for_error(cell, exec_reply)
-  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 760, in _check_raise_for_error
-    raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
-nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
-------------------
-import anndata
-import numpy as np
-import seaborn as sb
-import matplotlib.pyplot as plt
-import platform
-from optbinning import ContinuousOptimalBinning
-
-import Main
-import VisualUtils
-import ClusterUtils
-import TimeSeriesPreprocessor
-import PathwayAnalyserV2
-
-print(platform.python_version())
-------------------
-
----------------------------------------------------------------------------
-ModuleNotFoundError                       Traceback (most recent call last)
-Input In [1], in <cell line: 6>()
-      4 import matplotlib.pyplot as plt
-      5 import platform
-----> 6 from optbinning import ContinuousOptimalBinning
-      8 import Main
-      9 import VisualUtils
-
-ModuleNotFoundError: No module named 'optbinning'
-ModuleNotFoundError: No module named 'optbinning'
-
diff --git a/doc/build/html/search.html b/doc/build/html/search.html
index 5ae2bcd..debe0a2 100644
--- a/doc/build/html/search.html
+++ b/doc/build/html/search.html
@@ -3,10 +3,9 @@
 <head>
   <meta charset="utf-8" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Search &mdash; Genes2Genes v1.0 documentation</title>
+  <title>Search &mdash; Genes2Genes v0.2.0 documentation</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
       <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
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+        <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js?v=101dc097"></script>
         <script src="_static/doctools.js?v=888ff710"></script>
         <script src="_static/sphinx_highlight.js?v=4825356b"></script>
     <script src="_static/js/theme.js"></script>
diff --git a/doc/build/html/searchindex.js b/doc/build/html/searchindex.js
index d8c69cb..cb6c521 100644
--- a/doc/build/html/searchindex.js
+++ b/doc/build/html/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
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index cffd9ab..0000000
--- a/doc/build/jupyter_execute/notebooks/G2G_Tutorial.ipynb
+++ /dev/null
@@ -1,1972 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "american-wages",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "logical-coordinate",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'optbinning'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mplatform\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01moptbinning\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ContinuousOptimalBinning\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mMain\u001b[39;00m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mVisualUtils\u001b[39;00m\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'optbinning'"
-     ]
-    }
-   ],
-   "source": [
-    "import anndata\n",
-    "import numpy as np\n",
-    "import seaborn as sb\n",
-    "import matplotlib.pyplot as plt\n",
-    "import platform\n",
-    "from optbinning import ContinuousOptimalBinning\n",
-    "\n",
-    "import Main\n",
-    "import VisualUtils\n",
-    "import ClusterUtils\n",
-    "import TimeSeriesPreprocessor\n",
-    "import PathwayAnalyserV2\n",
-    "\n",
-    "print(platform.python_version())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "correct-pottery",
-   "metadata": {},
-   "source": [
-    "Load the reference and query anndata objects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "editorial-criterion",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input_dir = 'data/'\n",
-    "adata_ref = anndata.read_h5ad(input_dir + 'adata_pam_local.h5ad') # PAM dataset\n",
-    "adata_query = anndata.read_h5ad(input_dir +'adata_lps_local.h5ad') # LPS dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "perceived-purse",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AnnData object with n_obs × n_vars = 179 × 89\n",
-      "    obs: 'time'\n",
-      "AnnData object with n_obs × n_vars = 290 × 89\n",
-      "    obs: 'time'\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(adata_ref)\n",
-    "print(adata_query)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "split-identification",
-   "metadata": {},
-   "source": [
-    "### Min max normalize the pseudotime"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "accepted-message",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.0 1.0\n",
-      "0.0 1.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# check the current range\n",
-    "print(min(adata_ref.obs['time']), max(adata_ref.obs['time']))\n",
-    "print(min(adata_query.obs['time']), max(adata_query.obs['time']))\n",
-    "\n",
-    "# if it does not follow [0,1] range, run below\n",
-    "adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_ref.obs['time']))\n",
-    "adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_query.obs['time']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "anticipated-advancement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Visualize the pseudotime distributions\n",
-    "sb.kdeplot(adata_ref.obs['time'], fill=True, label='PAM', color='forestgreen') \n",
-    "sb.kdeplot(adata_query.obs['time'], fill=True, label='LPS', color='midnightblue'); \n",
-    "plt.xlabel('pseudotime'); plt.legend(); plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "brave-found",
-   "metadata": {},
-   "source": [
-    "### Check the number of bins in the optimal binning structure using OptBinning package"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "configured-rally",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "14\n",
-      "14\n"
-     ]
-    }
-   ],
-   "source": [
-    "x = np.asarray(adata_ref.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))\n",
-    "\n",
-    "x = np.asarray(adata_query.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sustained-auction",
-   "metadata": {},
-   "source": [
-    "OptBinning estimates 14 optimal number of splits for both reference and query pseudotime distributions. Therefore we choose the same number of interpolation points."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "careful-average",
-   "metadata": {},
-   "source": [
-    "### Visualize the interpolation binning structure in terms of the cell type composition \n",
-    "\n",
-    "For this dataset, we use the author-given time annotations (1h,2h,4h,6h) as the cell-type annotations. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "daily-english",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata_ref.obs['annotation'] = [x.split('_')[1] for x in adata_ref.obs_names] \n",
-    "adata_query.obs['annotation'] = [x.split('_')[1] for x in adata_query.obs_names] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "realistic-performance",
-   "metadata": {},
-   "source": [
-    "Next we define a colormap of our choice for these annotations, and call the below function. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "heavy-safety",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "# trying max n points for optimal binning = 14\n",
-      "====================================================\n",
-      "Optimal equal number of bins for R and Q =  14\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "col = np.array(sb.color_palette('colorblind'))[range(4)]\n",
-    "joint_cmap={'1h':col[0], '2h':col[1] , '4h':col[2] , '6h':col[3]}\n",
-    "vs = VisualUtils.VisualUtils.get_celltype_composition_across_time(adata_ref, adata_query, n_points=14, \n",
-    "                                     ANNOTATION_COLNAME='annotation', optimal_binning=False, ref_cmap=joint_cmap, query_cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "lined-complexity",
-   "metadata": {},
-   "source": [
-    "### Run G2G alignment\n",
-    "\n",
-    "We can now run Gene-level alignment for all 89 genes in the PAM and LPS datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "interesting-finland",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "89\n"
-     ]
-    }
-   ],
-   "source": [
-    "gene_list = adata_ref.var_names \n",
-    "print(len(gene_list))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "normal-colony",
-   "metadata": {},
-   "source": [
-    "This is done by first creating an aligner object, passing and setting all relevant parameters.\n",
-    "Next we align all gene pairs. (This step is parallelizing indepedenent gene-alignments to make the process time-efficient, however the computational time for an individual alignment will increase as the number of cells and/or the number of interpolation time points increase. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "democratic-frequency",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WINDOW_SIZE= 0.1\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "793a80e659c84f4783d1e40a698b6af5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/89 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, len(vs.optimal_bining_S))\n",
-    "aligner.WEIGHT_BY_CELL_DENSITY = True\n",
-    "aligner.WINDOW_SIZE=0.1\n",
-    "aligner.state_params = [0.99,0.1,0.7]\n",
-    "aligner.optimal_binning = True\n",
-    "aligner.opt_binning_S = vs.optimal_bining_S\n",
-    "aligner.opt_binning_T = vs.optimal_bining_T\n",
-    "aligner.align_all_pairs() "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "seasonal-asbestos",
-   "metadata": {},
-   "source": [
-    "Now we can check the aggregate (average) alignment across all genes:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "actual-subject",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMMMIIIDID\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner.get_aggregate_alignment()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "liberal-preview",
-   "metadata": {},
-   "source": [
-    "We can also visualize this alignment in terms of cell-type composition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "timely-characterization",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vs.visualize_gene_alignment(\"IDDDMMMMMMMMMIIIDID\", cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "identified-reminder",
-   "metadata": {},
-   "source": [
-    "We can also visualize an individual gene (e.g. JUNB), displaying its alignment statistics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "wooden-karma",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "Optimal alignment cost: 57.99 nits\n",
-      "Alignment similarity percentage: 21.74 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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O3nnnHRQXF+P111+vdr5NmzapXcM5evQofv/9dwwdOhRA/feJMWPGgIiq/dGlarxee+01AMA333yjNl11BDls2LCnruN5VHyfERFWrFgBfX19DBw4UOhTeXl5lffjsmXLIJFIhPG5fft2ldhdunQBgKee0nrW66eiq6uLwYMHY/PmzWo/4bh+/TpiYmLg4eEBc3Pzp8ao7M6dO1WOCmvTZ216pY+AtmzZgvv372PEiBHVTu/Tp4/wo9SQkJBaxWzWrBlmzJiBr776CiNGjMCQIUOQnp6OnTt3wsbGRms/WF25ciU8PDzg7u6OSZMmoVWrVrh+/Tp+++03XL16Fenp6XWO2b17d6xevRqLFy+Gi4sLmjZtKlyQr46Liwvs7Oxw4cIFtaKMAQMG4KOPPgIAtQQ0YcIEHDhw4JmnWv7880+4uroiPDxc+E2GkZEROnTogLi4OLRt2xbW1tZwc3Or8TrPBx98gISEBIwdOxZvvvkmunfvjtu3b2PLli1Ys2YNOnfujPHjxyM+Ph6TJ0/G/v370b9/f5SXl+P8+fOIj4/H7t270aNHj9oOX7W6d+8OAJg7dy5CQ0Ohr6+PgIAA4YOta9eucHNzEwoiunXrVm0cFxcXeHh44B//+AdKSkrwzTffoEmTJvjwww+FeeqzT/j4+GD8+PH49ttvkZ2djSFDhkCpVCI1NRU+Pj6YOnUqOnfujPDwcHz33XcoKiqCl5cXjh49ip9//hmBgYFC0Y9YDA0NsWvXLoSHh6N3797YuXMntm/fjo8//lj4XVhAQAB8fHwwd+5c5Ofno3PnzkhKSsLmzZvx3nvvoXXr1gCAhQsX4uDBgxg2bBicnJxw48YNrFq1Cg4ODvDw8KixD6rXb/r06fD394euri5CQ0OrnXfx4sXCb43effdd6OnpYe3atSgpKcEXX3xR5+3/+eefsWrVKowaNQqtW7fG/fv38f3338Pc3Fz4MvDC0ULl3QsjICCADA0N6cGDBzXOExERQfr6+lRYWEhEtfsdUFlZGf373/8mOzs7MjIyIl9fX8rMzKQmTZrQ5MmTqyxbuWyyupJdJycnGjZsWJX+AaApU6aotanKQ5cuXarWnpubSxMmTCA7OzvS19enFi1a0PDhwykhIeG5+nTt2jUaNmwYmZmZEYBalWSPHTuWAFBcXJzQ9uTJEzI2NiapVEqPHj0S2lUl1xV5eXlRx44dq93eimXPRH//LqN79+4klUprVZJ969Ytmjp1KrVo0YKkUik5ODhQeHi48Nqr+rpkyRLq2LEjGRgYkJWVFXXv3p0iIyPp7t27wnzPW4ZNRLRo0SJq0aIF6ejoVFuS/cUXXxAA+vTTT6ssW/G1/+qrr8jR0ZEMDAzI09Oz2t9B1WafqElZWRktXbqU2rdvT1KplGxtbWno0KF04sQJYZ7S0lKKjIwkZ2dn0tfXJ0dHR5ozZ45a6TdR/ffv8PBwMjExodzcXOG3Ws2aNaP58+er/V6I6O/ffM2cOZPs7e1JX1+f2rRpQ0uXLlUrcU5OTqaRI0eSvb09SaVSsre3J7lcTllZWVX6UbEMu6ysjKZNm0a2trYkkUjU9t/q9sE//viD/P39ydTUlIyNjcnHx0etFJ2o9u/JP/74g+RyObVs2ZIMDAyoadOmNHz4cDp+/HiVcX1RSIg0eCWPCYqKimBlZYXFixdj7ty52u4Oa8SWL1+OmTNnIj8/v0plVH5+PpydnbF06VLMnj1bSz1seBEREUhISEBxcbG2u8Lq4JW+BqQpjx49qtKmOg/+tNvVMPYsRIQff/wRXl5eVZIPY43NK30NSFPi4uIQHR2N1157Daampjh06BAUCgUGDx6M/v37a7t7rBF68OABtmzZgv379+PMmTPYvHmztrvEWL1xAtKATp06QU9PD1988QXu3bsnFCYsXrxY211jjdTNmzcRFhYGS0tLfPzxxzUWzjDWmPA1IMYYY1rB14AYY4xpBScgxhhjWsEJiDHGmFZwAmKMMaYVnIAYY4xpBZdhV6Aze2u9Yyi/DNBa/IZYR2OP3xDr0HT8c+H1v59gh5+fXvyq6XU0hvgNsY7GHv9Z63gWPgJijDGmFXwExBirwt17Vr1j1O1h9uxVxEdAjDHGtIITEGOMMa3gU3CMNTJ8eoy9LPgIiDHGmFbwERBjrMHxURwDXuAjoLS0NLi7u0NfXx+BgYHa7g5jjDGRaSQBRUREQCKRQCKRQF9fH87Ozvjwww/x+PHjWsd4//330aVLF+Tl5SE6OloT3WSMMaZFGjsFN2TIEERFRaG0tBQnTpxAeHg4JBIJlixZUqvlc3NzMXnyZDg4OGiqi4wxxrRIY6fgDAwMYGdnB0dHRwQGBmLQoEHYs2cPAECpVOKzzz6Ds7MzjIyM0LlzZyQkJAAA8vPzIZFIcOvWLbz55puQSCR8BMQYYy+hBilCOHv2LA4fPgwnJycAwGeffYZff/0Va9asQZs2bXDw4EG8/vrrsLW1hYeHBwoKCtCuXTssXLgQISEhsLCwaIhuMsYYa0AaS0Dbtm2DqakpysrKUFJSAh0dHaxYsQIlJSX49NNPsXfvXvTt2xcA0KpVKxw6dAhr166Fl5cX7OzsIJFIYGFhATs7O011kTFWg5y734oQ5UsRYrCXmcYSkI+PD1avXo0HDx5g2bJl0NPTw5gxY5CRkYGHDx/Cz89Pbf4nT56ga9eumuoOY4yxF4zGEpCJiQlcXFwAAD/99BM6d+6MH3/8EW5ubgCA7du3o0WLFmrLGBgYaKo7jL00+OiEvSwa5BqQjo4OPv74Y7z//vvIysqCgYEBLl++DC8vr4ZYPWOMsRdQg90JYezYsfjggw+wdu1azJ49GzNnzoRSqYSHhwfu3r2LtLQ0mJubIzw8vKG6xBhjTIsaLAHp6elh6tSp+OKLL5CXlwdbW1t89tlnuHjxIiwtLdGtWzd8/PHHDdUdxhhjWqaRBFTT73b++c9/4p///CcAYMaMGZgxY0aNMYqKijTQM8YYYy+KF/ZecIwxxl5ufDdsxliD40o+BvAREGOMMS3hBMQYY0wr+BQcY+ylI8YD7wB+6J2mcQJijLHnwE91rT8+BccYY0wrOAExxhjTCk5AjDHGtIITEGOMMa3gBMQYY0wrOAExxhjTCk5AjDHGtIITEGOMMa3gBMQYY0wr+E4IjDUyra9uqHcMpQj9YKy++AiIMcaYVvAREGOMvYBehXvN8REQY4wxreAExBhjTCs4ATHGGNMKTkCMMca0gosQGGPsOeTc/VaEKF+KEKPx4gTEGHvpiJMcgFc9QWgan4JjjDGmFRIiIm13gjHG2KuHj4AYY4xpBScgxhhjWsEJiDHGmFZwAmKMMaYVnIAYY4xpBScgxhhjWsEJiDHGmFZwAmKMMaYVnIAYY4xpBScgxhhjWsEJiDHGmFZwAmKMMaYVnIAYY4xpBScgxhhjWsEJiDFWaz/++CN0dXUhkUigq6uLH3/8sdGto7HHb6h1NAR+HhBjrFauXr0KJycnKJVKoU1XVxf5+flwcHAQZR1XrlyBTCbT2Do0vQ0NMUYNsY6GwkdAjLGnKi8vx759+zB58mS1Dz3VtJycnHqvIzc3F4sXL8aoUaM0so579+7hv//9L0JDQzUSX6lU4sCBA/jHP/6hsTG6ePEiPv30UwQGBmpsHQ2Nj4AYY1UQEY4dOwaFQoGMjAx4eXkJ/8T65v3XX38hLi4OSUlJcHJyQmhoKJydndGqVStR1vH48WPs2LED8fHxKCkpwahRo9CzZ0+4ubmJEp+IcOLECSgUCpw5cwaenp7w9vaGt7e3aGN07do1xMfHY9euXWjRogXkcjlat24t2hhpHTHG2P/LyMiguXPn0qBBg2jOnDl0+vRptek//PAD6erqEgDS1dWlH374oU7xb926Rd999x0FBATQ+PHjadu2bVRSUiLaOkpLS2nXrl30xhtv0LBhw2jlypV0/fp1UbchMzOT5s2bR35+fvTRRx/RqVOnSKlUihb/9u3b9MMPP9CIESNo3LhxtHnzZnr8+LGo2/Ci4CMgxl5x+fn5iI2Nxf79+9GuXTvI5XL06dMHEomk2vmvXr2KnJwcuLi41Oob94MHD7BlyxZs2LABOjo6GDNmDIYPHw4TE5Mal6nLOpRKJX777TcoFArk5OTA19cXoaGhaNmypSjxgb+vTcXGxiI5ORkuLi6Qy+Xo27cvdHSqv4pR1/gPHz7E1q1bkZCQACLCmDFjEBAQAFNTU9G24UXECYixV9D169exfv167Ny5E3Z2dggNDYWPjw/09PREif/kyRPs2rUL8fHxKC4uRkBAAEaPHg0rKytR4hMRTp8+DYVCgRMnTqBfv34IDQ2Fq6urKPEB4ObNm1i/fj127NiBpk2bIiQkBAMHDhR1jPbs2YPY2FjcvXsXAQEBGDNmDKytrUWJ3xhwAmLsFXH37l0kJiZi06ZNMDY2RnBwMIYOHQoDAwNR4peXl+PAgQOIjY3F1atXMWTIEAQHB8POzk6U+ACQk5MDhUKB1NRUuLu7Qy6Xo3v37jUerdXVvXv3sGnTJiQmJsLQ0BBjx47Fa6+9BkNDQ1HiK5VKHDx4ELGxsbh8+TL8/PwQHByMFi1aiBK/seEExNhL7NGjR9i2bRsSEhJQVlaGUaNGYeTIkTAzMxMlPlUoVjh37hy8vLwQGhqKVq1aiRIfqL5YwdPTE7q6uqLEr1is8OTJEwQGBiIwMBDm5uaixKdqihXkcjlcXFxEid+YcQJi7CVTWlqKvXv3IjY2Frdv38bw4cMxZswY2NjYiLaOc+fOISYmBr///jt69uwJuVwOd3d30eLfvn0bGzZswJYtW2BlZYWQkBD4+flBKpWKEr+srAzJycmIi4vDjRs38Nprr2Hs2LGwtbUVJT4AZGZmQqFQ4LfffkP37t0hl8vRqVMn0Y7WXgacgBh7CSiVShw6dAgKhQL5+fkYNGgQQkJCRL04XblYISwsDL179xbtA7W4uBhbtmzBxo0ba12sUBeVixUGDhyIkJCQpxYr1NXly5cRGxuLffv21apY4VXHCYixRoqIcPLkSSgUCqSnp6N///6Qy+Vo27ataOuoWKzQvHlzhIaGwtvbWyPFCvfv38eIESM0UqwQExODkydPom/fvpDL5Wjfvr0o8YGqxQqhoaHw9fUVbYxeZpyAGGtksrKyoFAocOjQIXTp0gVhYWHo0qWLaEcid+/excaNG7F582aYmJhg7NixGilWUCgU+PPPPxukWCEsLAzdunVrNMUKrwpOQIw1AlevXkVsbCz27t2LVq1aQS6Xo3///qKd2mmIYoWjR49CoVAgMzOzQYoV5HI5PD09RRujx48fY/v27UhISEBJSYnoxQqvIk5AjL2gCgsLkZCQgO3bt6NJkyYICQnBoEGDoK+vL0p8VbFCXFwcbt26pZFihYyMDCgUCo0XK2zduhVWVlYIDg7WSLFCbGwsbt68qZFihVcZJyDGXiD379/H5s2bkZiYCD09PQQFBWH48OEwMjISJX5DFivs27cP7du3b5BihYCAABgbG4sSX1WsEBMTg9zcXI0UK7C/cQJiTMtKSkqwc+dOxMfH49GjRxg5ciRGjRoFCwsLUeJXLlbw8PBAaGio6MUKqptmNkSxgmqMxCxWSE9Ph0KhwB9//IF+/fqJXqzAquIExJgWlJWVYf/+/YiNjcW1a9cwdOhQjB07Fs2aNRNtHapihbS0NHTp0gVyuVzUYoWioiIkJiZysQJ7bpyAGGsgRIQjR45AoVDgwoUL8PX1RUhICGQymWjraKhihfXr16O8vByjR4/GiBEjGmWxwu7duyGTyUQvVmC1xwmIMQ07c+YMYmJicPz4cfTp0wdyuRwdOnQQLX7lYoXQ0FAMHDhQ1GKFPXv2IC4uDnfu3MGwYcM0WqzQq1cvyOVyuLm5iRb/9u3bSEhIwLZt2zRSrMCeDycgxjTg4sWLUCgUOHDgADp27Ai5XI6ePXuKdmpHVaywceNGSKVSBAUFYdiwYY2yWGH//v1o37495HK5RosVVAUdYhUrsPrjBMSYSAoKChAfH4/du3fDwcEBcrkcAwYMEPWmmTt37sT69es1WqwQExOD9PR0eHp6Nkixgo+Pj2hjVFJSgt27dyMuLg4PHjwQ7qxgaWkpSnwmLk5AjNXDnTt3hJtmWlhYIDg4GP7+/qL+DkXTxQoXLlyAQqHA4cOHG6RYITg4GEOGDBG1WCElJQWxsbH466+/4O/vL3qxAtMMTkCM1dGDBw+wdetWbNiwAQCEC/Fi3TRTVawQExODrKws4QmfTk5OosQH/n7CZ1xcnMaKFR4+fCjcWaGxFiswzeMExFgtPHnyBElJSYiLi9PY0ysbqlhh27ZtsLGx0WixguoxEEFBQWjSpIko8QHNFyuwhsUJiLEalJeXIzU1FQqFAleuXMHgwYMRHBwMe3t70dahKlY4ePAgOnTogLCwMPTo0UPUYgXVTTMba7FCXl4eYmNjkZKSopFiBaY9nIAYq4CIcPz4cSgUCpw9exYDBgxAaGioqE+vrFis4OjoiNDQ0EZbrHD69GmN3llh586dsLe3h1wuh7e3t2hjxF4MnIAYQ9WnV4aFhcHd3V20b9mqYoWtW7fC3NxcY8UKCoUC169fF26a2bRpU1HiAw1XrLBp0yaYmpqKXqzAXjycgNgr69KlS8JNM9u2bSs8vVKsD9TKxQqqm2aKWaygesJndnY2fHx8NFqs0Lp1a8jlcvTr10/0YoUNGzagvLxceAyEqampKPHZi40TEHul3LhxQ3jCpyaeXlmxWOHevXsICAjA6NGjRStWICKcOXMGCoXipSlWUBV0iFmswBoHTkDspXfv3j3h1I6hoSGCg4MxdOhQ0Z5eWV5ejoMHDyI2NlZjxQq5ublCsYKbmxvkcnmjLFaIiYnBpUuX4Ofnh5CQELRo0UKU+Kxx4gTEXkqPHj0Snl755MkT4dSOWE+vrFysoPodSuvWrUWJD/xdrKB6wmdDFCuonvCpyWIFuVyONm3aiBKfNX6cgNhLo7S0FMnJyYiLi0NhYSFee+01BAUFifr0yorFCj169BCe8Cl2sYIm76ywb98+xMbGNlixQlhYGDp37sxl06wKTkCsUVMqlTh8+DAUCoXGnl7ZUMUKCQkJkEgkXKzAXhmcgFijo3p6ZUxMDE6ePIn+/ftDLpejXbt2oq2jcrGCXC6Hj4+PqMUKu3fvRnx8PO7evSvcNLOxFSusX78e27dvh62tLUJCQkQtVmAvP05ArNHIzs6GQqHAoUOH0KlTJ8jlclGfXlmxWMHIyEh4wicXK/yPposV2KuFExB7of3555+Ii4vDnj174OTkhLCwMHh4eIj6hE9VsUJpaalwIV7Mm2a+LMUK8fHxePz4sejFCuzVxQmIvXBu3bol/A7F2toaISEh8PPzE/V3KBWLFYYNG4agoCBRn/B57tw5KBQKHDlypNEXK9y4cUN4DISYxQqMcQJiL4Ti4mJs3rwZiYmJ0NXVxZgxY0R9emXlYgXVTTMdHR1FiQ9ULVYICwtDnz59Gm2xgq+vL0JCQkQtVmCsIk5ATGtKSkqwa9cuxMfH48GDB8JNM8V6eiUR4dSpU1AoFDh16hT69eunsWKFHTt2wM7OTnjCpyaKFTR9Z4UTJ04IxQqurq6ixGfsaTgBsQalenqlQqFAQUEBhgwZgrFjx4r69MqKxQqdO3eGXC5H165dRTsSuXv3rvCET00WK6geAzFkyBAEBwejefPmosQHNF+swFhtcAJiorp69Sqys7PRpk0b4ZkwRITff/8dCoUC58+fh7e3N0JDQ+Hs7CxKfOB/xQpJSUlwdnaGXC5/rmKFmuKLWaxQ0xgdO3YMCoUCGRkZ9SpWqGkbKhcryOVyeHp68iMOmNZwAmKi+fHHH/H2229DqVRCR0cH8+fPR0lJCY4ePSrK0ysrx//6669haGgoWrFC5firV69Gy5YtERsbi8LCQuEJn/UpVqi8jgULFuDJkyeiFStUjr9s2TIYGxsLxQohISEYPHiwaMUKjNULMSaCK1eukI6ODgEQ/kkkEtqyZQsplUqNxV+9ejU9ePBAI/EB0Ny5c+ny5cv1jl/TOiQSCW3atEmjY7RixQoqLi4WYQsYExffJ4OJIjs7G0qlUq2NiGBmZibKdYWa4rdv316USrnq4gPAoEGDRKuUq2kbLCwsNDpGHTt2FK1SjjExcQJiomjTpk2V6y26urqiPcq6scdviHU0xDYwJiZOQEwUDg4O+O6774QL2rq6uli7dq3aRfBXOX5DrKMhtoExMXERAmOMMa3gIyDGGGNawQmIMcaYVnACYowxphWcgBhjjGkFJyDGGGNawQmIMcaYVnACYowxphWcgBhjjGkFJyDGGGNawQmIMcaYVnACYowxphWcgBhjjGkFJyDGGGNawQmIMcaYVnACYowxphWcgBhjjGmFnrY78CLRmb213jGUXwbUOO1cuKTe8Tv8/PTnB2p6HZqOrxs1u97xy9/48qnTG/sY8X7UMPEbYh2NPf6z1vEsnIBYnbh7z6p3jHIR+lEfL8M2MPYy4ATEXig5d78VIcrTj4AYYy8GTkAvGaOu+hqNzwmCMSYWTkDslcNJlLEXAycgxkTG15gYqx1OQA3IzXZLvWMoRegHY4y9CPh3QIwxxrTiuY6Arly5gvnz52PXrl0oLCxE8+bNERgYiHnz5qFJkyZi95Exxl45r8Kp3DofAV28eBE9evRAdnY2FAoFcnJysGbNGiQnJ6Nv3764ffu2JvoJAHjy5InGYjPGGGtYdT4CmjJlCqRSKZKSkmBkZAQAaNmyJbp27YrWrVtj7ty5WL16NSQSCRITExEYGCgsa2lpiW+++QYREREA/j6SmjVrFpKSkqCjowNPT08sX74cMpkMABAREYGioiL07NkTK1euhIGBAd544w3Ex8fj7Nmzav3q0qULAgICsGjRoucbiZdE66sb6h1Dm9eZGnv/GWO1V6cEdPv2bezevRuffPKJkHxU7OzsMG7cOMTFxWHVqlXPjFVaWgp/f3/07dsXqamp0NPTw+LFizFkyBCcPn0aUqkUAJCcnAxzc3Ps2bMHAGBhYYHIyEgcO3YMPXv2BACcPHkSp0+fxsaNG+uyOew5cIJgjImlTgkoOzsbRARXV9dqp7u6uuLOnTu4efPmM2PFxcVBqVTihx9+gETy9z2JoqKiYGlpiZSUFAwePBgAYGJigh9++EFISADg7++PqKgoIQFFRUXBy8sLrVq1qsvmMMYY06LnqoIjevrN5yomi5qkp6cjJycHZmZmMDU1hampKaytrfH48WPk5uYK87m7u1eJN2nSJCgUCjx+/BhPnjxBTEwM3nzzzefZFMYYY1pSpyMgFxcXSCQSZGZmYtSoUVWmZ2ZmwtbWFpaWlpBIJFUSVWlpqfD/4uJidO/eHevWrasSx9bWVvi/iYlJlekBAQEwMDBAYmIipFIpSktLERQUVJdNYYwxpmV1SkBNmjSBn58fVq1ahZkzZ6pdB7p27RrWrVuHKVOmAPg7iRQUFAjTs7Oz8fDhQ+Hvbt26IS4uDk2bNoW5uXndOq2nh/DwcERFRUEqlSI0NLTKNSnGGGMvtjqfgluxYgVKSkrg7++PgwcP4sqVK9i1axf8/PzQtm1bzJs3DwDg6+uLFStW4OTJkzh+/DgmT54Mff3/3Shz3LhxsLGxwciRI5Gamoq8vDykpKRg+vTpuHr16jP7MXHiROzbtw+7du3i02+MMdYI1TkBtWnTBseOHUOrVq0QHBwMJycnDB06FG3btkVaWhpMTU0BAF999RUcHR3h6emJsLAwzJ49G8bGxkIcY2NjHDx4EC1btsTo0aPh6uqKt956C48fP67VEVGbNm3Qr18/tG/fHr17967rZjDGGNOy57oTgkwmQ3R0tPD3/Pnz8fXXX+P06dPo06cPAMDe3h67d+9WW66oqEjtbzs7O/z88881rqfiOiojIvz11194991369x/xhhj2ifKzUgjIyMhk8lw5MgR9OrVCzo6mr3F3M2bNxEbG4tr167hjTfe0Oi6GGOMaYZod8NuyETQtGlT2NjY4LvvvoOVlVWDrZex2tD084ZehXuEsVdDo3wcw7N+h8QYe7WJkaQBTtSa1igTEGNMs/goizUEfh4QY4wxreAExBhjTCv4FBxjrMHxKT4G8BEQY4wxLeEExBhjTCs4ATHGGNMKTkCMMca0ghMQY4wxreAqOMYYew5cyVd/fATEGGNMKzgBMcYY0wo+BcdYI6Ppu20z1lD4CIgxxphWcAJijDGmFZyAGGOMaQVfA2KMVcHXmVhD4CMgxhhjWsEJiDHGmFbwKTj2yml9dUO9YyhF6Adjrzo+AmKMMaYVfATEmMj4CIux2pEQEWm7E4wxxl49fAqOMcaYVnACYowxphWcgBhjjGkFJyDGGGNawQmIMcaYVnACYowxphWcgBhjjGkFJyDGGGNawQmIMcaYVnACYowxphWcgBhjjGkFJyDGGGNawQmIMcaYVnACaoRSUlIgkUhQVFRUrzjR0dGwtLQUpU91kZ+fD4lEglOnTtU4j1jbKBZvb2+89957T51HG+NZeSxftHF7VdV2X5BIJNi0aZPG+/Oi4gT0DBEREZBIJJBIJJBKpXBxccHChQtRVlam7a7ViUwmwzfffKPWFhISgqysLO106Bn69euHgoICWFhYaLsrAICNGzdi0aJFwt/VjWdj8ap/6DWEyu+tBQsWoEuXLlXmKygowNChQxuwZy8WfiBdLQwZMgRRUVEoKSnBjh07MGXKFOjr62POnDna7lq9GBkZwcjISNvdqJZUKoWdnZ22uyGwtrbWdhdYI1Lb99aLtI9rAx8B1YKBgQHs7Ozg5OSEf/zjHxg0aBC2bNkC4O9THr169YKJiQksLS3Rv39/XLp0SVh28+bN6NatGwwNDdGqVStERkYKR0/VnYoqKiqCRCJBSkqK0LZjxw60bdsWRkZG8PHxQX5+fpU+btiwAR07doSBgQFkMhm++uorYZq3tzcuXbqEmTNnCkdzQNXTBKpvaT/99BNatmwJU1NTvPvuuygvL8cXX3wBOzs7NG3aFJ988onauouKijBx4kTY2trC3Nwcvr6+SE9Pf+a4nj9/Hv369YOhoSHc3Nxw4MABYVrlU0mqvu7evRuurq4wNTXFkCFDUFBQoLbM016LioKCgjB16lTh7/feew8SiQTnz58HADx58gQmJibYu3evMIaqU3A1jafK0/pYnYyMDAwfPhzm5uYwMzODp6cncnNzhek//PADXF1dYWhoiPbt22PVqlXPGNmayWQyAMCoUaMgkUggk8mQn58PHR0dHD9+XG3eb775Bk5OTlAqlcLrsX37dnTq1AmGhobo06cPzp49q7bMoUOH4OnpCSMjIzg6OmL69Ol48ODBU/u0detW9OzZE4aGhrCxscGoUaOEaXfu3MGECRNgZWUFY2NjDB06FNnZ2cJ01X6xbds2tGvXDsbGxggKCsLDhw/x888/QyaTwcrKCtOnT0d5ebnaOCxatAhyuRwmJiZo0aIFVq5cqdavy5cvY+TIkTA1NYW5uTmCg4Nx/fp1YXp6ejp8fHxgZmYGc3NzdO/eXRjDiu+t6OhoREZGIj09XdhfoqOjAVQ9Gj1z5gx8fX1hZGSEJk2a4O2330ZxcbEwPSIiAoGBgfjyyy/RvHlzNGnSBFOmTEFpaelTx/iFReypwsPDaeTIkWptI0aMoG7dulFpaSlZWFjQ7NmzKScnh86dO0fR0dF06dIlIiI6ePAgmZubU3R0NOXm5lJSUhLJZDJasGABERHl5eURADp58qQQ+86dOwSA9u/fT0REly9fJgMDA3r//ffp/Pnz9Ouvv1KzZs0IAN25c4eIiI4fP046Ojq0cOFCunDhAkVFRZGRkRFFRUUREdGtW7fIwcGBFi5cSAUFBVRQUEBERFFRUWRhYSGse/78+WRqakpBQUGUkZFBW7ZsIalUSv7+/jRt2jQ6f/48/fTTTwSAjhw5Iiw3aNAgCggIoGPHjlFWVhbNmjWLmjRpQrdu3ap2TFXb7eDgQAkJCXTu3DmaOHEimZmZUWFhIRER7d+/X20bo6KiSF9fnwYNGkTHjh2jEydOkKurK4WFhRERPfO1qOzbb7+ljh07Cn936dKFbGxsaPXq1UREdOjQIdLX16cHDx4QEZGXlxfNmDHjmeP5tD5W5+rVq2RtbU2jR4+mY8eO0YULF+inn36i8+fPExHRr7/+Ss2bN6cNGzbQxYsXacOGDWRtbU3R0dFqY6nahyqPW2U3btwgABQVFUUFBQV048YNIiLy8/Ojd999V23eTp060bx589Tiurq6UlJSEp0+fZqGDx9OMpmMnjx5QkREOTk5ZGJiQsuWLaOsrCxKS0ujrl27UkRERI3bv23bNtLV1aV58+bRuXPn6NSpU/Tpp58K00eMGEGurq508OBBOnXqFPn7+5OLi4uwTtWY+/n50R9//EEHDhygJk2a0ODBgyk4OJgyMjJo69atJJVKKTY2Vojr5OREZmZm9Nlnn9GFCxfo22+/JV1dXUpKSiIiovLycurSpQt5eHjQ8ePH6ciRI9S9e3fy8vISYnTs2JFef/11yszMpKysLIqPj6dTp04J/VK9tx4+fEizZs2ijh07CvvLw4cPiYgIACUmJhIRUXFxMTVv3pxGjx5NZ86coeTkZHJ2dqbw8HBhneHh4WRubk6TJ0+mzMxM2rp1KxkbG9N3331X4xi/yDgBPUPFBKRUKmnPnj1kYGBAs2fPplu3bhEASklJqXbZgQMHqr2ZiIh++eUXat68ORHVLgHNmTOHOnTooBbjo48+UvuQCQsLIz8/P7V5PvjgA7XlnJycaNmyZWrzVJeAjI2N6d69e0Kbv78/yWQyKi8vF9ratWtHn332GRERpaamkrm5OT1+/FgtduvWrWnt2rXVjotquz///HOhrbS0lBwcHGjJkiVEVH0CAkA5OTnCMitXrqRmzZoRET3ztajs9OnTJJFI6MaNG3T79m2SSqW0aNEiCgkJISKixYsXU79+/YT5KyYgoprH82l9rM6cOXPI2dlZ+ECtrHXr1hQTE6PWtmjRIurbty8R1T0BEal/6KnExcWRlZWV8DqeOHGCJBIJ5eXlqcWt+CF+69YtMjIyori4OCIieuutt+jtt99Wi5uamko6Ojr06NGjavvSt29fGjduXLXTsrKyCAClpaUJbYWFhWRkZETx8fFEVP2Yv/POO2RsbEz3798X2vz9/emdd94R/nZycqIhQ4aorS8kJISGDh1KRERJSUmkq6tLly9fFqZnZGQQADp69CgREZmZmQlfBCqr7r3VuXPnKvNVfC2+++47srKyouLiYmH69u3bSUdHh65du0ZEf38eOTk5UVlZmTDP2LFjhf22seFTcLWwbds2mJqawtDQEEOHDkVISAgWLFgAa2trREREwN/fHwEBAVi+fLna6Zb09HQsXLgQpqamwr9JkyahoKAADx8+rNW6MzMz0bt3b7W2vn37Vpmnf//+am39+/dHdna22mmH2pDJZDAzMxP+btasGTp06AAdHR21ths3bgjbWFxcjCZNmqhtZ15entpppOpU3A49PT306NEDmZmZNc5vbGyM1q1bC383b95c6MezXovK3NzcYG1tjQMHDiA1NRVdu3bF8OHDhdOABw4cgLe391P7X9c+VufUqVPw9PSEvr5+lWkPHjxAbm4u3nrrLbWxXbx48TPHtq4CAwOhq6uLxMREAH+fNvLx8RFO2alUfM2sra3Rrl074TVLT09HdHS0Wl/9/f2hVCqRl5dX7XpPnTqFgQMHVjstMzMTenp6avt/kyZN1NYJVB3zZs2aQSaTwdTUVK2t8utQ+X3Ut29fIW5mZiYcHR3h6OgoTO/QoQMsLS2Fed5//31MnDgRgwYNwueff17v1yQzMxOdO3eGiYmJ0Na/f38olUpcuHBBaOvYsSN0dXWFv5+1j73IuAihFnx8fLB69WpIpVLY29tDT+9/wxYVFYXp06dj165diIuLw7/+9S/s2bMHffr0QXFxMSIjIzF69OgqMQ0NDYUPdSIS2rV9LrfyB6FEIqm2TalUAgCKi4vRvHlztWtWKmKXJFfXj4pj97TXojKJRIIBAwYgJSUFBgYG8Pb2RqdOnVBSUoKzZ8/i8OHDmD17tuh9rOxpF6pV5/6///77Kl9CKn4AiUEqlWLChAmIiorC6NGjERMTg+XLl9cpRnFxMd555x1Mnz69yrSWLVtWu4wYRTB13WfFsmDBAoSFhWH79u3YuXMn5s+fj9jYWLVrWJrQENvWUPgIqBZMTEzg4uKCli1bqiUfla5du2LOnDk4fPgw3NzcEBMTAwDo1q0bLly4ABcXlyr/dHR0YGtrCwBq39Qr/zbG1dUVR48eVWs7cuRIlXnS0tLU2tLS0tC2bVvhg0oqldb5aKg2unXrhmvXrkFPT6/KNtrY2Dx12YrbUVZWhhMnTsDV1bVe/anptaiOl5cXUlJSkJKSAm9vb+jo6GDAgAFYunQpSkpKqhxVViTWeHbq1AmpqanVfvFo1qwZ7O3tcfHixSpj6+zs/Nzr1NfXr7bvEydOxN69e7Fq1SqUlZVV+8Wp4mt2584dZGVlCa9Zt27dcO7cuWr3d6lUWm1fOnXqhOTk5Gqnubq6oqysDL///rvQduvWLVy4cAEdOnSo0zZXp/L76MiRI8K2uLq64sqVK7hy5Yow/dy5cygqKlJbd9u2bTFz5kwkJSVh9OjRiIqKqnZdtdlfXF1dkZ6erla0kZaWBh0dHbRr167O29cYcAKqh7y8PMyZMwe//fYbLl26hKSkJGRnZws78bx58/Df//4XkZGRyMjIQGZmJmJjY/Gvf/0LwN/f/vr06YPPP/8cmZmZOHDggDBNZfLkycjOzsYHH3yACxcuICYmRqigUZk1axaSk5OxaNEiZGVl4eeff8aKFSvUvsHLZDIcPHgQf/75JwoLC0Ubg0GDBqFv374IDAxEUlIS8vPzcfjwYcydO7dKVVVlK1euRGJiIs6fP48pU6bgzp07ePPNN5+rH896Larj7e2Nc+fOISMjAx4eHkLbunXr0KNHD7VTIZWJNZ5Tp07FvXv3EBoaiuPHjyM7Oxu//PKLcMolMjISn332Gb799ltkZWXhzJkziIqKwtdff/3c65TJZEhOTsa1a9dw584dod3V1RV9+vTBRx99BLlcXu3RycKFC5GcnIyzZ88iIiICNjY2CAwMBAB89NFHOHz4MKZOnYpTp04hOzsbmzdvVqs2rGz+/PlQKBSYP38+MjMzcebMGSxZsgQA0KZNG4wcORKTJk3CoUOHkJ6ejtdffx0tWrTAyJEjn3v7VdLS0vDFF18gKysLK1euxPr16zFjxgwAf+/X7u7uGDduHP744w8cPXoUEyZMgJeXF3r06IFHjx5h6tSpSElJwaVLl5CWloZjx47VuL/JZDLk5eXh1KlTKCwsRElJSZV5xo0bB0NDQ4SHh+Ps2bPYv38/pk2bhvHjx6NZs2b13t4XkpavQb3wqquCU7l27RoFBgZS8+bNSSqVkpOTE82bN0/tgv2uXbuoX79+ZGRkRObm5tSrVy+1ipVz585R3759ycjIiLp06UJJSUlqRQhERFu3biUXFxcyMDAgT09PoRKt4oXmhIQE6tChA+nr61PLli1p6dKlan397bffqFOnTmRgYECql702F0qr2/7KF+Tv3btH06ZNI3t7e9LX1ydHR0caN26c2gXcilQXzmNiYqhXr14klUqpQ4cOtG/fPmGe6ooQKvaViCgxMVHYltq8FpWVl5eTlZUV9e7dW2g7efIkAaB//vOfT93m2oxn5T7WJD09nQYPHkzGxsZkZmZGnp6elJubK0xft24ddenShaRSKVlZWdGAAQNo48aNamNZlyKELVu2kIuLC+np6ZGTk5PatB9//FHtQruKKu7WrVupY8eOJJVKqVevXpSenq4239GjR8nPz49MTU3JxMSEOnXqRJ988slTt3/Dhg3C9tnY2NDo0aOFabdv36bx48eThYUFGRkZkb+/P2VlZQnTqxvz2uzHTk5OFBkZSWPHjiVjY2Oys7Oj5cuXqy1z6dIlGjFiBJmYmJCZmRmNHTtWKAYoKSmh0NBQcnR0JKlUSvb29jR16lSh2KJyvx4/fkxjxowhS0tLoQqRqGpByOnTp8nHx4cMDQ3J2tqaJk2apFZMUd37ccaMGWrVeY2JhOgpJ6gZY6+URYsWYf369Th9+rRae0pKCnx8fHDnzh2t3L5JbDKZDO+9994zb6/ENItPwTHGUFxcjLNnz2LFihWYNm2atrvDXhGcgBhjmDp1Krp37w5vb+/nvg7HWF3xKTjGGGNawUdAjDHGtIITEGOMMa3gBMQYY0wrOAExxhjTCk5AjDHGtIITEGOMMa3gBMQYY0wrOAExxhjTCk5AjDHGtOL/APF7RLJiE7cxAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.show_gene_alignment('TNF', aligner, vs, joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "otherwise-scene",
-   "metadata": {},
-   "source": [
-    "To check only the cell plots of a gene alignment (e.g. SERTAD2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "secret-asbestos",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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khVF/99HVPh3HYfPmzd2GWan7LS4uHrT7Fac3mfEkBmz58uVdJujPP/88wKAtC/2JT3yC4cOH88Mf/rDXt3n00UcZM2YMn/vc57juuusy/nz1q18lKyuLP/7xjz3ux7ZtvvSlL7Flyxa+9KUvZZSXrly5kptuuom5c+fyxz/+sdfVWEIIIYbOV7/6VYLBIJ/97Gepr6/PuKyhoYHPfe5zZGdn84UvfAFIvslubm7OqJI6dOhQetWilGuvvRZN07jnnns6nftc1+10X0dz8803oygKX/7yl9m1a5esZieEEMfZvHnzOOecc/jZz35GdnY28+bN4ze/+U2XX6TX1tYedV+apvGxj32Mp556qsvVv3u6PcCMGTMYO3YsP/rRj9IjP/q6jyNdffXVqKrKd77znU7zoVLntQULFpCdnc33v/99TNMclPsVpzepeBID9sUvfpFoNMo111xDVVUViUSCNWvW8MQTT1BRUZExVPXAgQM8+uijnfaRlZXF1VdffdT78Xg8fPnLX+ZrX/sa//jHP7j88suPev2DBw+yfPlyvvSlL3V5uc/nY8GCBSxevJif//zn6bkczc3N6WOMRqPs2LGDp59+mp07d3LTTTfx3e9+N72PvXv3cuWVV6IoCtdddx2LFy/OuI9p06Z1KqEVQggx9MaNG8fDDz/MzTffzNSpU/nUpz7F6NGj2bNnD//3f/9HY2Mjjz/+eHqexk033cS///u/c8011/ClL32JaDTKAw88wPjx4zOGv44dO5b/7//7//jGN77Bnj17uPrqqwmHw+zevZtnnnmGz3zmM3z1q1/t1TEWFRVx+eWXs3jxYnJzc1m0aNGQPBdCCCF672tf+xrXX389Dz30EL/61a84//zzmTp1KnfddRdjxoyhurqa1157jf379/Puu+8edV8/+MEPWL58ObNmzeKuu+5i0qRJNDQ08Pbbb/PSSy/R0NBw1Nurqsr//u//snDhQiZPnsydd95JeXk5Bw4cYPny5WRnZ/Pss8/26fGNGzeOb33rW3z3u9/lggsu4Nprr8Xn87F27VrKysq49957yc7O5oEHHuDWW29l+vTp3HTTTRQVFfHBBx/w3HPPMWfOHH75y1/26X7Fae54LacnTh1LlixxP/nJT7pVVVVuVlaW6/V63XHjxrlf/OIX3erq6vT1Ro0a5QJd/um4hHVqKdDa2tpO99Xc3Ozm5OS4F154Ycb2xYsXu4C7fPny9LYf//jHLuC+/PLL3R77Qw895ALuX//6V9d125e+Tv3JyspyKysr3VtuucVdunRpp9unlj7t7s/dd9/duydRCCHEkNiwYYP78Y9/3C0tLXVVVXUB1+/3u5s2bep03aVLl7pTpkxxvV6vO2HCBPfRRx9Nn5OO9NRTT7nnn3++GwqF3FAo5FZVVbmf//zn3a1bt6avc+GFF7qTJ08+6vH9+c9/dgH3M5/5zMAfrBBCiF75/e9/7wLu2rVrO11m27Y7duxYd+zYsa5lWe7OnTvd2267zS0tLXU9Ho9bXl7ufvSjH3WffPLJ9G12797tAu59993XaX/V1dXu5z//eXfEiBGux+NxS0tL3Ysvvtj97W9/m75O6jPF4sWLuzzed955x7322mvdgoIC1+fzuaNGjXJvuOGGjM853X2GSj3W3bt3Z2x/8MEH3bPOOsv1+XxuXl6ee+GFF7ovvvhixnWWL1/uLliwwM3JyXH9fr87duxY94477nDfeuut7p9cIbqguG4fpowJIYQQQpzEHn74Ye644w5uueUWHn744eN9OPz1r3/l6quvZuXKlVxwwQXH+3CEEEIIIQadtNoJIYQQ4rRx2223cejQIb7+9a8zfPhwvv/97x/X4/nd737HmDFjerXIhRBCCCHEyUgqnoQQQgghjrHHH3+c9957j3vvvZf777+/23mEQgghhBAnOwmehBBCCCGOMUVRyMrK4sYbb+TXv/41ui5F6EIIIYQ4Ncm7HCGEEEKIY0y+9xNCCCHE6UI93gcghBBCCCGEEEIIIU5NEjwJIYQQQgghhBBCiCEhrXZCCCGOO8dxOHjwIOFwGEVRjvfhCCHESc91XVpbWykrK0NV5btmkHONEEIMtt6eayR4EkIIcdwdPHiQESNGHO/DEEKIU86+ffsYPnz48T6ME4Kca4QQYmj0dK6R4EkIIcRxFw6HgeRJKzs7+zgfjRBCnPxaWloYMWJE+vVVyLlGCCEGW2/PNRI8CSGEyPDAAw/wwAMPsGfPHgAmT57Mf/3Xf7Fw4cIur//QQw9x5513Zmzz+XzE4/Fe32eq5SE7O1s+DAghxCA6EVvKjsd5BuRcI4QQQ6Wnc40ET0IIITIMHz6cH/zgB1RWVuK6Ln/4wx+46qqreOedd5g8eXKXt8nOzmbr1q3pv5+IH3SEEEKcGOQ8I4QQpxcJnoQQQmS44oorMv7+ve99jwceeIDXX3+92w8EiqJQWlp6LA5PCCHESU7OM0IIcXqRJS6EEEJ0y7ZtHn/8cSKRCOedd16312tra2PUqFGMGDGCq666ik2bNh11v4Zh0NLSkvFHCCHE6WeozjMg5xohhDhRSPAkhBCikw0bNpCVlYXP5+Nzn/sczzzzDJMmTeryuhMmTODBBx/kr3/9K48++iiO4zB79mz279/f7f7vvfdecnJy0n9klSEhhDi9DPV5BuRcI4QQJwrFdV33eB+EEKLvHNfBtE1c10VRFDyaB1WRLFkMjkQiwQcffEBzczNPPvkk//u//8srr7zS7YeCjkzTZOLEidx8881897vf7fI6hmFgGEb676kVMZqbm2XgqxBCDIKWlhZycnJO2NfVoT7PgJxrhBBiqPX2XCMznoQ4CZm2iWG3v5HCBdMx8Wk+PJrn+B2YOGV4vV7GjRsHwIwZM1i7di33338/v/nNb3q8rcfj4ayzzmLHjh3dXsfn8+Hz+QbteIUQQpxchvo8A3KuEUKIE4WURwhxknFcJzN06sCwDRzXOcZHJE4HjuNkfGt8NLZts2HDBoYNGzbERyWEEOJUIecZIYQ4dUnFkxAnGdM2e7zcp8u3e6L/vvGNb7Bw4UJGjhxJa2srjz32GCtWrOCFF14A4LbbbqO8vJx7770XgO985zuce+65jBs3jqamJu677z727t3Lpz/96eP5MIQQQpyg5DwjhBCnFwmehDjJyFg2MdRqamq47bbbOHToEDk5OUybNo0XXniBSy+9FIAPPvgAVW0vmG1sbOSuu+7i8OHD5OXlMWPGDNasWdOrOR1CCCFOP3KeEUKI04sMFxfiJGNYBqbTfdWTR/VIxZM46ZzoQ3CFEOJkI6+rnclzIoQQg6u3r6sy40mIk0xPw8NluLgQQgghhBBCiBOFBE9CnGRURcWndV3R5NN8qIr8sxZCCCGEEEIIcWKQGU9CnIQ8mgdN1TIGjXs0j4ROQgghhBBCCCFOKBI8CXGSUhVVZjkJIYQQQgghhDihSXmEEEIIIYQQQgghhBgSEjwJIYQQQgghhBBCiCEhwZMQQgghhBBCCCGEGBISPAkhhBBCCCGEEEKIISHBkxBCCCGEEEIIIYQYEhI8CSGEEEIIIYQQQoghIcGTEEIIIYQQQgghhBgS+vE+ACFE/ziug2mbuK6Loih4NA+qIlmyEEIIIYQQQogThwRPQpyETNvEsI32DS6YjolP8+HRPMfvwIQQQgghhBBCiA6kPEKIk4zjOpmhUweGbeC4zjE+IiGEEEIIIYQQomsSPAlxkjFtc0CXCyGEEEIIIYQQx4q02glxknFdF0hWPlm2hYODioqu6TLjSQghhBBCCCHECUWCJyFOMoqiYFomCTuR3mZjYzomXs2LR5UZT0IIIYQQQgghTgxSHiHESUZTtYzQqaOEnUBTtWN8REIIIYQQQgghRNek4kmIk4zt2Hg1b5fhk1fzYjs2ujrwf9qO62DaJq7roigKHs0jrXxCCCGEEEKIE4JhGWyv305tWy1FWUVUFlTi033H+7BEFyR4EuIk47ouHi3ZTtcab8VyLXRFJ+wPp7cPlGmbmSvnuWA6Jj7NN2j3IYQQQgghhBD9YVgGT258khW7VqS3zRszj+umXCfh0wlIyheEGCKO62BYBnEzjmEZOK4zKPtVFIVYIkZjrBHLtQCwXIvGWCOxRGzA+3dcJzN06sCwB+9xCCGEEEIIIUR/bK/fnhE6AazYtYLt9duPzwGJo5LgSYghYNomUTOK6ZhYroXpfPh32xzwvhVFoTXR2uVlrYlWFEUZ0P57OsbBeAxCCCGEEEII0V+1bbVdb490vV0cX9JqJ8Qg66liSFO1Ac1KMkwDn+br8j58mg/DNPBq3n7v33VdACzHIp6IY7s2mqLh9/oHZXaUEEIIIYQQQgxEUVZR19tDXW8Xx5dUPAkxyIa6Ysh2bXRNx6f7UFBwHRcFBZ/uQ9d0XNwB7T/Vylcfqac53kyL0UJzvJn6SP2gtPKlDFUrohi4Bx54gGnTppGdnU12djbnnXceS5YsOeptFi9eTFVVFX6/n6lTp/L8888fo6MVQghxspHzjBBioCoLKpk3Zl7Gtnlj5lFZUHl8DkgclZQvCDHIUhVDQ0VTNCzbSlc8KaqCi4thGaCBog+s1U5RFBpjjRi2gWVb6VXtdEfHdmxyAjkDfgwyvPzENnz4cH7wgx9QWVmJ67r84Q9/4KqrruKdd95h8uTJna6/Zs0abr75Zu69914++tGP8thjj3H11Vfz9ttvM2XKlOPwCIQQQpzI5DwjhBgon+7juinXccawM6iN1FIUklXtTmSKO9SfkoU4zRiWgel0X9XkUT0DekFM2An2N+/v9vLhOcMH1GrXHGvmYMtBWs3Oc6TCnjBl2WUDCp8c1yFqRru9POgJDqgVUQyN/Px87rvvPj71qU91uuzGG28kEonw97//Pb3t3HPP5cwzz+TXv/51r/bf0tJCTk4Ozc3NZGdnD9pxCyHE6epke10d6vMMnHzPiRBCnOh6+7oqn+6EGGQ9VewMtKLHdV3C3nCXl4W94QFXXMXMGDY2AT2AV/XiUT14VS8BPYCNnaysGgAZXn5ysW2bxx9/nEgkwnnnndfldV577TUuueSSjG0LFizgtdde63a/hmHQ0tKS8UeIE4lhWGzYsJ+XXtrEhg37MQzreB+SEKekoTrPgJxrhDjZGJbBxuqNLN+5nI3VGwf8uUOcOKTVTohBpirqUYd/D7Sax3VdAt4AuqbTGm/Fdmw0VSPsDw9Km5rt2kCy5U7XOr9EWM7APnxJkeXJYcOGDZx33nnE43GysrJ45plnmDRpUpfXPXz4MCUlJRnbSkpKOHz4cLf7v/fee7nnnnsG9ZiFGCyGYfHEE2/w0kub09suuWQSN944C59P3joJMRiG+jwDcq4R4mRiWAZPbnySFbtWpLfNGzOP66Zcd1K2zxmWwfb67dS21VKUJW2AUvEkxBDwaB6CniAe1ZP+E/QEByUYUhQF0zZJ2Al8Hh9BXxCfx0fCTgxKtVBADxz9cs/RL++JoiRnUDmuQ8JKELfiJKyEDBc/wUyYMIH169fzxhtv8P/+3//j9ttvZ/PmzT3fsJe+8Y1v0NzcnP6zb9++Qdu3EAO1bdvhjNAJ4KWXNrNt29E/5Aohem+ozzMg5xohTibb67enQyfHdWg1Wnly45Os2bvmpKt8SoVo96++n8fefYz7V9/PkxufPOkex2CSr+2EGCKqog5Jqq2pGgk70eVlCTtB2Nd1G15vBbwBwt4wLUYLtmPjuA6qoqKpGtm+bPwe/4D279E8RM1oxmOwsTEdE6/mJegJDmj/YnB4vV7GjRsHwIwZM1i7di33338/v/nNbzpdt7S0lOrq6oxt1dXVlJaWdrt/n8+Hz3f6fusjTmzV1c3dbG9h6tRjfDBCnKKG+jwDcq4R4mRS21YLJEOng60HqY/WA7B893IOth48qSqfOoZoKSt2reCMYWcwpeT0XBBBKp6EOMnYjt3t8HCv5sV27AHt36f7CHqC6KqOaZkkzASmZaKrOkFP8KR5wReDy3EcDKPrb2nOO+88Xn755YxtL774YrezOoQ40ZWUdL2AQkmJDCMWYqjIeUaI08uR85zyg/kARBKRdOgEEPKEWLFrBdvrtx+vQ+2zVIjWaXuk6+2nA6l4EuIk47ouHs2DoijEzTi2a6MpGn6PH10dnH/Spm1iOia6rqO7OihgOuagtPKZtolH86CpGpbdPi9K13RURcW0TQm3jrNvfOMbLFy4kJEjR9La2spjjz3GihUreOGFFwC47bbbKC8v59577wXgy1/+MhdeeCE//vGPWbRoEY8//jhvvfUWv/3tb4/nwxCi38aPL+WSSyZ1mvE0fvzRqyuEEL0j5xkhTm9dzXNaULmAuRVzeXrz0+ltcyvmUhepA06u0KYoq6jr7aGut58OJHgS4iSjKAqmZRK34li2heu6OIqDi4tf9+NRBzZHKm7GidtxQp5Qcv+4KCQHjcftOHEzTtDb/3a41HBxVVHx6l1Xbonjq6amhttuu41Dhw6Rk5PDtGnTeOGFF7j00ksB+OCDD1DV9oLZ2bNn89hjj/Ef//EffPOb36SyspK//OUvTJlyepYSi5Ofz6dz442zOOuskVRXt1JSks348aUyWFyIQSLnGSFOb121or2w/QW+POfL5AfzeWX3K4S9YZriTTQbyfb3kym0qSyoZN6YeZ0GpVcWVB6/gzrOFFeWmBLipGI5FodbD3c558mreSkNlw6o8qm2rZbWRCuu66aDrdQKd4qikO3NpjCrsN/7NywD0+m+csqjeqTi6TTU0tJCTk4Ozc3NZGdLO5M4fRiGxbZth6mubqakJEcCLjFo5HW1M3lOhDgxLN+5nMfefSxj24jsEQzPHc6h1kOEvCFe2vEStmtTFi5j/tj5J/yMpyNXsavIqWBP8x5qI7UUhU7dVe16+7oq72yEOMmk2t0sx8K0TGzHRlM1PLoHr+bFtM0BBU8uycAp4SQ6bsS0TLyqF5SBHb9H8xw9eBqElf+EEOJkYBgWTzzxRqeWvhtvnCXhkxBCiFPWka1ouf5cHBx++fov0VUdj+rh0nGXEvQGmVk+k9mjZp/QoU1XrYPzxszjuinXnbbDxI8kw8WFOMkk7ERyAKdlkLATWK5Fwk5gWAaO4wx4DpNH9WSGTh3v20mgKdqA9q8qKj7Nh+M6JKwEcStOwkrguA4+zYeqyMuSEKL3DMNiw4b9vPTSJjZs2I9hWD3f6ASxbdvhjNAJ4KWXNrNt2+HjdERCCCHE0Eu1oqUUhgpZ88EaNEXDciwiZoS/vf+35KJJCid06ATdr2J3Mg1EH2rydZoQJxnbtmlJtGBYBq3xVhJOAq/qJewP06K0EPaFB7R/r+7Fp/mIW3Fsx0632mmqhl/3D9pcJsd1kiGa66AqasYsByGE6I2TvWKourq5m+0tTJ16jA9GCCGEOEZ8uo/rplzHGcPOoDZSS320nnUH1nUaJ1IXqSM/kH8cj7R3ZBW7np3478qEOEk5brL6KBXceDTPoFTz2K5Nc7SZ/a37cWkf0VYTrWF4eDgloZIB7V9TNLI8WUQTUQzLwHIsdFXHr/vJ8mQNeOU8x3VoS7SRsBPJQOvDCirDMnBdlxx/jlQ9CSF6pbuKobPOGsXUqcOP01H1XklJTjfbZfaMEEKIU5tP96Xb0DZWb0RVVMK+MPXR+vR1RuSOQFMH1m1xLMgqdj2TT3dCDAHTNomaUUzHxHItTOfDvw+wDQ7AcAxqIjU4roNt29iWjW3bOK5DTaTmqPOTesPFTe5DSa6g51E9KIoCCpiOieM6Azv+D1sEu5JqGRRCiN44WsVQb3Rs03vvvX2sX7/3mLbsjR9fyiWXTMrYdsklkxg/vnTI71sIIYQ4UVQWVHLeyPMAGBYeRnFWMTdNu4mWWMtJUTV0ZOsgyCp2R5KKJyEGmeM6GHbX4YlhG2iqNqCKnrZYW7LqyErel+3aaGioroqu6rTEWijLLuv3/i3HoiXRgqqoeFRPumJLVVRaEi3kOXn93jckh5RDMmSKGBFs20bTNEK+EF7Ni2VbMMD54kNVbSaEOLEMpGKoY5teXl4Q14WNGw9QVpaLqirdtuwN5ip0Pp/OjTfO4qyzRlJd3UpJSbasaieEEOKUd+QKcJUFlVw87mJiZoyoFSXkCVEXqaMp3nRSVA0d2Tp4Kq9i11/yzkaIQZaqanJcB8u20uGHrumoioppmwN6EXJcB8uxkgPGTSMZPCkaqkfFcizUARYyGqaBikqr2Zo548nRCHvDJKwEDOA11FVc2uJt1MfqM56fFqOFgkABgazAgI7ftM3M4M9NVmr5NJ+smCfEKSZVMXTkjKfeVAx1bNMrLAzzpz+9geM4+P0e8vNDXbbsDfZMqfYQq2XAIZYQQghxMuhuBbirqq5iRO6I9PZcfy4Xj72Ywy3JBTdO9CCnY+ug6Eze3QgxyFzXxbTNzHayD8MPr+bFow4s/PBoySqkplgTlmPh4qKgYFgGAU8ARVUGtH/TNdPVQh2rhlKhmeUMrP1EQaEmUkPCTnQKtmqcmm57pHsjVW1mORbxRDwdyvm9foABV5sJIU4sA6kYSrXpOY5LTU0LkUgysK6rayUeNykry+005HswZ0qd7IPRhRBCiN5IVTc1RBqwXZv6WD37m/eT68+lKd4EJFeAO2PYGemqoQPNB3jv8Hs8s/kZsrxZqIrKvDHzuG7KdSd0+CS6J+9shBhkLu5RZxj5df+A9u/z+miNt+LRPaiOCi6gJEOV1nhrOmTpLxU1WeZqRjESBhYWOjq216bDLPN+i5kxHMchZsXaN7qAA7qiEzNjZPv7N1jXtE1iiRjNRnNGqNVmtpHjy8GjeuRkJcQpxufTmTp1RJ9XgUu16UUiBrm57ZWWmqZSV9dKTk6gU8veYK5CN1SD0QezFVAIIYQYCMMy+PN7f2bNB2vwaB5W7V1Fnj+PuBXnvJHnZYRPtZFaKgsqeffQu+xv3s9Tm54CoCBYQFm4LB1OSVXRyUneiQhxkrEtm6KsIg60HMjYrqBQlFWEZQ2sIklTNKKJKNXR6oxB4qqpUhIsGfCqdnErjqZp+BxfpzlMmqYlW/n6ybRNmuJNxK04lm3h4KCioms6rusS9AbxDaRPUAhxyki16T3++Bts3XqYefOq2LhxP4lE8jV0zpzKTi17g7kK3WCGWClSRSWEEOJ4OnJ2k2mZPPbeY1QVVbFk6xIALNsiP5jPyj0r+djkj6WDp6JQEdvrt7Ni1wqGhYel91kfrSfHl0PYFz4pBo33Rlczrk71L8flXYgQg0xBwat5u6x68mreAbd6Oa5DwBNgWHgY8UQcx3FQVRW/10/AE8B1B1aWZNgGtmKjuAqO5WA7NpqqoekatmIPfNW5Dyu0VCU5DD3VKqgqKijJirH+ipkxIokIcTNOzIyljz3gCWA7NtFElJA3NLDjF0KcElJtemVlebz88iaKi7OZMqWchoY2gkEfl102uVNYkwqrli7dRCRiYBgmCxdOo6KisM/3P5ghVspQVVEJIYQQHXUVnACdZjdNK51GS7wl44tly7HSX2RHzAjQvgLcmr1rADq9XzdsgzDhk2LQeE+6m3F1qrcRSvAkTliO42CaTjpY8XhUVPXEn8+Tqt5RFIW42WHOkMc/4GohSIZXKKDrOll61hF3Dl7dO6D9x604pmXiKi6qouLy4f8rLqZlZrbI9YPf68doNpLtgZqWcZlhGfg9/W8VNB2TlngL9bF6HNdpD7UMlYJAAaVhWaJcCNHO59O54ILxHDzY2KlKaMKEYV1e/5prZqCqKps27ScY9LFjRzXPPLOuz1VFAxmM3p2hqKISg0taIYUQJ7vugpMzhp2RsQ2gLlqHV/NmfD5xXIeQN0RhsJBZw2cxKm9UuuInNeu1LlLHovGLaDKaSFgJSrNKmVg8MR1wncxSVV0dnQ5thHKmEyck07QxDDP9d9t2ME3w+Tx4PNpRbnn8eTQPUTNKwk4kV7NTkv/MDMvA1VyCnuCA9h/0BpNDxBUF27EzZjz59WTV00BYlkUkESFhJbBtGxcXy7bQ0IgoERzb6XknR+HX/BQECqiP1Xe6rCBQgE/rf9JvWiatRiuGZeA4TvtgdFVNbjcHWK0lhDilpEKAkpIcbr99NqqqUViYlQ4DugoJ9uypY+nSjRn76U9V0UAGo3dnKKqoxOCRVkghxKmgu+Ak15/b6bo1bTXMGTWH9YfWM3f0XFbuXklBsICAHuCKiVdwybhLMqp8KgsqmTdmHusPridux1l/cD0ezUNdtI6KvIqhfWDHSG1b1+2Cp0obYXfkLCdOOI7jZIROHRmGiaYpJ0Xl01AJeAIUBgt5+J2HeWX3K6iKSl4gj+KsYipyKzjQcoBReaMoC5dRnFU84CorhcxV8jrOfeoPj+YhN5CLpmq0GW04toOqqWT5sgj7wgOq2Eo4CRJ2Asd2iFvxdKudX/eTsBOYTte/V0KI0093IcDs2ePSoVNXl48Ykd/l/vpTVdTfwejdGYoqKjF4pBVSCHEq6C44iVvx9H87rpMcf2HFuazyMgqDhSScBGeXn42qqMwcPpOqoqpOrWU+3cd1U66jLFzGz1/7OSVZJYS8IVRFZeWelZxVftYJVxXU13lN3a3gfSq0ER6NBE/ihGOayWCjvdXORVWVdKudaTr4fCdu8GTaJh7NA0BrvBXLtdAVnbA/jEfzYNrmgPp3m+PNfO3Jr7HyuZVoIY3w2WE+aP6gy+uqikpxqJhh4WEMCw+jNFya/u9h2cn/LwoVZcyd8ugedFVPDuR23PTj0TUdXdUH3MqnqRo+zUdMjeH3+HH1ZFWSrur4NN/AZmA5yb7xhnhDMiD7sBosakUp0UtQXKXHXQghTg89hQDdXX777XO63N+JUFU0FFVUYvBIK6QQ4lTQXXAyrmAc88bMY9nOZRxsPUh9tJ65FXNZtWcVlYWVTC+eTn4wv8dgJnVZYbDz/MQTrSqoP/OaUlVdR97mVGgjPBp5JyJOOMnAycYw2ldns+1k+53Pp6PrJ3arneu6xBIxWhOt6W2Wa9EYayTsDePxe/q132g0yk8e/Ak//vWPadrcBC54SjxkzchCUboOVBzX4XDbYQ63HeadQ+90eR1d1SnJKkkHUlneLGzHJp6IE/AEyPHn4NN8eAwPRUVFePT+HX+KpmoYtoHrJmdGpYI5n+bDsA00tf8/X1dxMR0TDY2EmcDGRkMj4A1gOiY29oCOXQhx8jqybe7gwaYur5cKAboLCWzbOaGriga7ikoMHmmFFEKcCroLTqqKqqgqqmJE9gg21GwgbsbRVI0DzQdYd2Ad51ec3+tqpZOlKqg/85pSVV1nDDuD2kgtRaEiKnIqTvlV7iR4EiekjqHTkdv9/QxujhXHdWhNtOK6ydlIqTlDuqbTmmjt86pqq1at4sEHH+RPT/yJeLS9hNU3ykd4ejhd1dNflmNxoOUAB1oOdLrMtV00XaM4VMyo3FHUx+sZlTeq/3dGsiLMSBjUReuIJ+KYrolH8RC345RQgmmb/W4PdF0X0zSJmlEs18LGxsHBNV2CZnDAK/6lOK6DaZvpn61H8wx4tUIhxNDpqm1uwYIp6YrajlIhQHchwbBhuVx4YZVUFYk+k1ZIIcSpoKvgJBWUGJbBO4fe4Y/v/jF9/bkVc8n153aqVjpai1pfq4L62u42WPo7r8mn+9LB1Omyyp28SxInLNNMEIkkME0bj0cjFPLi8QyszetYMG0Ty7YwbAPbsXFcB1VR0Zxki5lp923O0M9+8TOe+vNTAOh5OlkzsghPD+Mp8pDty+ai0RcRM5MVVs1GMy3xFmqjtRhW3wdpW80WsZ0x4jvixHbECJ0RomBRQbpq6o39b/CH9X9gfOF4ZpbPZOaImcwsn9mn1eJiZoz6WD3NsWYsx8LFJUECwzbQFZ38UH6/B6Sn2utsx8ZyrOTKdkpyZTsGJ3PCtE0iZoR4osOKhV4/IU8o3WIphDj2jrZaWFdtc2++uYtZs8awdu3u9LaOIcDRQgKpKhL9Ia2QQohTRcfgpKPt9dt57YPXMrat3LOSj03+WEa10pFhS64/lxnlMygMFlKUVYSmaozIHsHHz/g4tmNTml3abZh0PIObwajMOl1WuZMznTghJRImhw61dNhi0twcZ9iwHBRlYKvCDTXbtdMD9UzbTAdPHs2Dx+/B7SYBqaur44knnuDhhx/mf//3f5k6dSpv7HuDzcM2Ez4nTNaMLPwVfpQPv52vLKjkE2d+grAvnN5HUA8yvnA8o/JG0Rhr5FDroa7/tByiuq2ahJkgsimSDJp2xjBrMkOx+K44XdlWt41tddvS32aMyBnB2eVnc86Ic5hZPpOKvIpu2/9a4i3Ux+oxnMxgzHZs6mP1lMRLyAvm9e7JPoJpmaBCSA8Rs2KYmHjwENADoELCSvRrvymO69AUa6LFaMGyLRwcVFQiZgTTZ1IQKpDKJyGOg1RF09Klm4hEDAzDZOHCadxxx/mEw/4u2+YaG6NMmTKcefMmdBkCHBkSFBeHcRyHV1/d2inYEsfX0ULHE42ElkKIU1ltWy0hb4iCYAH10fYVrHMDuVQWVKYrk/Y27uXZLc8S8obID+Tj4vKT1T9hdN5oWowWJhdPRkGhKd7EvDHzuGD0Bd2GSEcGN7n+XPY37+fZ95+lqqiqU2A1mNVRgzGv6XRZ5e7EPCuL05plWTQ3xwgEPFhW+wpquq7S3BwjLy94Qrfb2Y5N1IxiWMmKJ5dkxY3jOkTNaEbFk2EYPPfcczz88MM8//zzmGbysj88/Acqrq3g/jX34wx3KLq+PTVXFZXLxl3GxeMu7hRyRK0omqqhKAr5wXzyg/lMLpmcvrylpYWdO3dy1lln4bgOdZE6qiqqaKlPhnyKopA/Op/QuBD6GB23vHdlQvua97GveR/PbH4GSA4DnDl8JmcPP5uZ5clVK1Kzm6KJKIZtkLASROIRDMfAp/oI+ZMtiDEz1tenvP25QcWyLdoSbRiOkWyJU0xsx8bv9aMysFAobsZpjDXSbDTTGmvFsAx8uo9wIIzt2IS8IYLeEzsYFeJUtG3bYZYu3cTBg03U1SXn6/3ud6+Qnx/iuutmdts2V1iYxdSpw7sNAVIhwfjxXa9wd+ONs9Ir4J0swcepprvVB1M/m66uLz8rIYQYGqkKoBxfDh7Vg+M6hLwhzh1xLkC6MmlYeBi7GndRECxgXMG49GeISCJCfbQ+XSXVFG/qsfqnY3CT68/FxeWpTU9Rnl1OYbAwo/ppsKqjOoZXqWNriDVktB329TnrtH2A86yOV/thd+RMK044sVhyvpOiKHg8nQdNx2IW4XCnzX3Wvmqeg6qq6VXzBsrFpTXRiuM66eonVVFRXCU5cFyBxsZGvvWtb/H444/T2NiYvu306dO55sZreDfvXZ5Z/UynfReHivnG3G+QG8ilPlqPabVXVOmaTkGwAMdpD+ui0Shr1qxh2bJlLF++nLVr11JUVMTBgweTK95lFfOZT3+GaDTK/PnzufDCC4moEVbvXY1t27Qarexv3s++ln3sb9nPvuZ9WE7X87c6qovWsWTbEpZsWwJAljeLGeUzmDl8JkXBImzTZl/LPhJ2+wBwb9TL6NzRyba4flJUJRlcxpqJ2e0BVkALkOvP7bYKq7dajVZqWmrY27wXwzTSrXY+j49ROaPI9edK8CTEcVBd3UwkYqRDp5KSbCZMKGX37lpWrdrGOeeM4ZJLJrFu3R4KC8NEowZTpgynoqLzijldOdoKeOPHl/Yp+BCDq6fVCTvqa0glhBCnkmMRRFTkVFBZWMnTG5/GcpNjL66fcj2jckZlVCalZt7WR+tpibd3uXT8Uj1iRtL/fbTqn47BTWGokKc2JUeU+LTkY0sFV5UFlazZu4YnNz6JT/MR8oZQFbXPbW2D3do3FKvcnYhzo+QsK044tu3g9eokEp0DDq9XZzCG9ZimTWtrhNZWE8uy0HWdcNhDOBzqMuzq075tE6/i5XDscHLO0IftWGbcZHTxaEzLJCeUw+LFi2lsbKS8vJxPfOIT3HrrrbRmt/Ivz/0Ltc2dX1wvqLiAHy38EQk7we763XhUD7Zto3z4P4/qSYcgDz74IA8//DCvvfYaiURme1koFKKmpoaSkhIAfvCDH2RcHm2Okh/IZ2/jXhRVYUTeCEbkjUBFpTynHFVR2dO0h7f2v8VbB96ixWihJ22JNl7Z/Qqv7H4FAE3RKAgUUBAsSA4Sd5NB47qD61h7eC3Z/uz0nCbLsbAdO7kqXQ/bWuOtNMYaMW0T202uYOfXk/OXtjVuo9VspSZWQ1l2GWXZZWR5s/r0s20z2tjdsJu6tjridpyEk8CrevFrfhzboSy3jGKK+7RPIcTAlZTkYBjmh/+dTVlZHs8++y5lZbmsWbOTm246hyuuOJPm5hhLlmzA59PZt68R23Z6VRlTXx/pchB5dXXy9e+llzaTlxdMh1p799azdeshpk0bMfQP/iQ0mFVHXbVROo7L5s0HO+2/LyGVEEKcSo5VELGneQ+1bbVcMu4SmuPNeHUvr33wGmPzx1IYLCTXn0thqBDLsfj4GR/npR0v4dWTM3wLggUEPe1f4IY87QsyHa36p2NwE0lE0vvquKDT4ZbDvHvoXbbWbk0vqFQQLKAsXIaqqOlgqzfhXF9nMvW0z6MNa+/rvvp7jMeCBE/ihOPx6Oi6hqK4xGI2ruugKCqBgIamaajqwIIhx3GoqWmloaG1w9YELS2Qn+8wbFj2gCqfXNclYkZwXIfGxkZef/F1Vj+3mqaaJh5Z9ggAXq+Xn/70p5SWlnLRRReBAr96/Vf84oVfJAdkd6AqKv8y51/43KzPoSoq9ZF6bMcm4SSwHIud7+9k85ubWXTzIrJ92XhUD1u2bOGVV5IhT3l5OfPnz2f+/PlcdNFFjBp19FXpHNdBV3XKssqI23Fcx0VRFfyaH7/uZ3zheBaMX8Bnz/ksjuuwrW4ba/ev5c39b/LW/reoidT0+Bwlogk+2PUBB7IO4CnKbJt88+CbfXm6Ox9/wiG2I0bs/RhZZ2fhH+mnLlbH3pa9vFP9DrzVft2wL0xZuIxh4WHpMGpYeBhl4eR/l2SVZAwMb2xrpLq1mg8aPsBwDSzHQld1fIoP27VpbG2EggEd/gnh3nvv5emnn+b9998nEAgwe/ZsfvjDHzJhwoRub/PQQw9x5513Zmzz+XzE413PCRNiMI0fX8rChdP43e9eYcKEUp599l0KC7NIJCx8Pp2XXtpMeXkea9fuJj8/RCRi0NDQxjPPvM20acM588zM10XDsPjLX9axbVs10ajBiBH5JBIWXq+eET6VlGRTXd1MXl4Q14XFi9emLwsEvEyYMEwqaY4w2FVHR7ZROo7LwYNNbNt2mO3bqzP231VIBckAUWYuHVtynhHi2DpWQURtWy0HWg6wq3FXxvbNtZu5ZMwl6TY4AF3VuWTsJUwrnUZ+IJ/1h9ajKioFgQKqiqrYVreNSCLCogmLjlr9kwpuppRMYXvddtYfWp8RYAFoqsaKXSsYVzAuva0+Wk+OL4ewL0xRqCgdzq0/uJ7CUCGRRIRJxZP46ISPkuVv/7K6LzOZehv4dTesvT/76usxHivybkiccLKzvdTXt5JI2CTzn2QIZBg2Xq9CdvbAVraLROI0NLTiOA627aa/xdY0hYaGVrKzvYTD/W+XMkyDlS+tZOkzS1n3yjqsRHvr4OaNm6kqqQLglltuAZIvAP/y3L90WgECoDSrlJ999GfMHD4TSIZa729+n6efe5rVK1ezee1mom1RAEZPGM3IhSNRFIWbb76ZsWPHMn/+fCorK/vUYua6Ln7dj+u6KKaSbuXzeXz4dT+2Y6evqyoqVUVVVBVVcetZt+K6Lh80f8DafWtZe2Atb+x5gx1bd5A4nCBxKEGiOvn/dnNyH7kX5ZL/kfx+PMuZx2tWm0S3Rom9HyO2OwYfHqLiU/CP9Hd721ajla3GVrbWbe3ycgWF4qzidBiVSCSoaauhzWhLVpipGl7Vm6w00300R7v+UHOyeeWVV/j85z/PzJkzsSyLb37zm1x22WVs3ryZUCjU7e2ys7PZurX9uRxoa6MQveXz6dxxx/nk5YXYs6eWsrJcEgmLnJwgoVDyzdgHHzSkQ4lUSx7AmjU7mDixPCP02Lr1EKtX72DLloNMmFDKu+/uY9asMRw40EhdXRuQuQJeYWE4I3QCWL16OwsWTOmykuZ0njM02FVHR64+GIkYTJlSnvEzTu2/u1lfJSXZfb5fMTBynhHi2BrqICJViVMfq2dC0QTaEm0ZX0aHPCHazDY21WxKbnCTnQQv73yZ/GA+B5oPsKByAfmBfFriLRxqPURtrJaQJ9Tr1a43Vm9k/cH1jC8cz8o9K9MVTfPHzkdTkoULdZE65lbM5bUPXsOreWk2mpk3Zh4VORVsr9/O+oPrM8Kxf2z/B3ErzlllZ9EQbaAoq6hPM5kGM/Dry76Gam7UQJwe73LESUXXdbKy/NTVtWBZ7cGQritkZfnR9YH92jY3G1iWTSxmYpp2hxlPGoGAh5YWo9/B05///Gf+6Qv/RH1t+yoOw0YPY9bls5i1cBajRo/CtdtbBVfvXc1XnvsKddG6TvuaWzGXH33kRxQEkyU0S5Ys4fbbb6e2NvMEEcgKMGH6BBSPQiwew7AMpk+fzvTp0/v1GPyeZLhkWAaGYyQDKEUBC7yat8sZRrZts2vXLjZs2EBhYSHXzb2O66Zex+7duxnz/8Z0eT9aroaiD+wNo9VkceBXB7Cb7Iztep5OsCpIsGpg85ZcXKrbqqluq2b9ofVdXkdBIceXQ9AfpNFo7PI6J5t//OMfGX9/6KGHKC4uZt26dcydO7fb2ymKQmlp6VAfnjjF9TeUCYf9XH/9TFat2sqaNTvx+XRCIV+6QmnkyPyMOVAp9fURtm07nBF67NlTy5YtB9MtewAvvLCRu+66kAsuGM/o0YXpsKqiopCCgiz8fg+apmYEXkdW0hiGxZYtB1i9egcNDRHq6lppbIyeVnOGBrvq6MjVB6PROC+/vIXGxmin/V9wwfiMkAoyA8Rj6XQOH0HOM0Ica0MZRHSsxHFch5gZ44KKC6iN1GK7Nrm+XOoidUTNKGXhMnJ8ObQl2ogkIiTsBA2xBpriTby882VuPfNW3ml8h0giQsgboi5Sx476HVQVVx01qOkYyuT6c7l20rVErSgXjb6I2aNms71+OwBN8SZGZI/g+inXs79lP2Pzx9ISb+HvW/9OfiA/Y0YUJOfrvn3wbf6x7R+EfWEc12FG+QwuHnsxLUYLtZFadFVnbP7YLquyBjPw68u+hmJu1ECdPmc4cdIwTYdg0EteXhaxWBzbdtE0hUDATzDoxTQdfL7+t8JZlkkkEqe11eh0meP4cJzez/3Zv38/rusyYkRyjkdZWRn1tfXk5Odw9qVnM+PScxg2phRd9+DVdWw72SJnOza/eO0X/PK1X+IeMbPKaXK4UL0Q+1mb5SznuuuuA2DEiBHU1tYSCAaYcOYExs8Yz9izxjJy/EhUTcWn+2gxWoia0U7H2Rce1YOu6cTMGDErlq54cnSHvGAeru2ydOlSNm7cyIYNG9iwYQObN28mFksO877++uvTbxpHjRqV/jN16lSmTJmCk+/wrvUu1VY1DbEGXFw0RUNVVDyah7JwGYVZheiqnv6jKRo1u2rYsXYHmqqx4LYF6KqOisrXHvgaMV+MSWdPomJ6Bb5KH1phcmU/F5e4GSdqRrEdG0VNLsvacXnXgXJxcV2XpmhTp3lap4rm5uQHxfz8o1entbW1MWrUKBzHYfr06Xz/+99n8uTJR72NEB0NtA3L59M5//wJHDjQ1Gkf55wzhjlz9rJzZ/s3sPPmVVFX19op9IjFrHTLHiTbtxzH4bnn3sNxXFpb40ycWI5hWDzzzDrq69swjGRbXzDoJRxOVll1rKRJPbZnnnk7fQzz5lWRlxc8reYM9bXqqDcBTWr1walTYcOG/TQ2ruty/0eGVCUl2cc08Ek9llTV3Ztv7koHZKdT+NgVOc8IMbSGMojoGPrkB/Jx/A5/XP9HSrJKsByLc0eey6wRs6gsqOQF5QXCvjCGbaSHh6dmOeX6c1mzbw1Pb3o6ve+5FXPJ9ef2GNR0DGWa4k00xZuSf1GSbWwdH7/P4+OlnS9RkVfB79f9ntS6Rl849wvpGVEplYWVvLL7FUbljiLkhjjYepD317/P9VOv5+F3HiYvkEdRsIiycFn6Nh3nMKUeV/p4PtSfwK8v4WFf5kYdK6fn2U0MiqFaFc6ybAwjOUvDe8Tw59Qb+4H86iqKQmurgeO42LaD64KigKap6e1H09bWxtNPP83DDz/MsmXL+NznPsf//M//ADBnzhx++6ffEhgdJGYkiDkxXBcc20VxdSzLprqtmruX3c0b+95IPt5Wi/jOOLEdMcxdJvHaOHvYA4BjO+ngafLkyaxatYpgeZANDRs6BVYAESuCkegcqPWF67rErTiRtgh7tu1h7/a9+Pw+Lr76YuJWHMdxuOKKKzqFLH6/n8mTJzN+/Pj0NlVV2bNnT8b1dtXvwv++n011mxiR0z5414uXyYWTmVc1jzEFY2hoaODFF19kyZIlvPDCCxw+fBiAkpIS/vqrv6Z/185bcR7jxo0jEAjwfs37rN61mtpILYZlYDs2mppsgysKFTFnzByqiqswLINDrYc42HqQgy0Hk//94f8faklu70uA57oulmsNaEW+E5XjOPzzP/8zc+bMYcqU7r9pmjBhAg8++CDTpk2jubmZH/3oR8yePZtNmzYxfHhXrUYGhtH+u9rS0vOQenHqG4w2rKOFC5ddNoVYzCQaNQgGfemKoyMDovz8ZLWkrqvYdvI8l5zvBNGokT4m13XZu7eeQMDDlVeeyRNPvIlhWNTXR/j4x2dlrJqXemypIegAK1a8z/XXz6SxMXrazBk6sjUOuq866i6IvOaaGezZU9dlGDV+fCmLFk1Lz+cKBn2MH1+S3n/HkOpY6vhYWlvj7NxZkw4eGxujp1X4eKShOs+AnGuESBnKIKJj6JOqGPLrfny6jywti90Nu7lp2k1UFVW1hz8frjh38diLCXlCDAsPY3jO8PTno5SVe1bysckf6zGo6SmU6fj41x9cz6zhs3j2/Wfp+Nb9ld2vcOHoC2F7+zYVFV3R8Wk+IokI9dF6Qp4Q2+u2o6s6rUYrRcEiVu5ZyVnlZ1FZUJkxh8lxHSoLk+FeKnw6MvDr7cDwvoaHvZkbdSxJ8CT6xTRtYjEDy3I6tMKpBAK+Aa8KZ3/YimbbFtGojePYqKpGMKihaTqWNbBV7TweFU1TiMVMHMdJt5KpqkpWlhePp3N4Zts2y5Yt45FHHuGpp54iGm0PJQ4dOpT+b0VRmDPvfNbv3oDpRLDs9lY+E5Nt1dv54as/oMVKvvFxYg4ffPeDjIX6NE1j5syZXHTRRXzkIx/J3PecOWw4uIGQN0QkkRxgnj5+RSXkDeG6/Xt+Hn/8cdavX89b699iw4YN1BxsrwoYXTWaS6+5FMu2sBWbRYsWoWkaU6ZMYerUqUydOpUxY8agaT3/7BVFQfWqlOWU0Wa2pZ+fLE8WqldFVVTuuOMOHnnkERynfdB6KBRi/vz5LFy4EMuy8HqTs76mdvj0oCs6haFC4lYcXdfTg9EDWoDCUCFeNXkbn+6jIq+CiryKLo/RdV2a483pcCoVRr225zV2NuwkbsfTq+ZBcjiiT/Oh6gMPXk80n//859m4cSOrVq066vXOO+88zjvvvPTfZ8+ezcSJE/nNb37Dd7/73U7Xv/fee7nnnnsG/XjFyW2w2rC6CxcmTBjGqFEfdBt6pMKBdev2MGpUIaZp4/Fo6LpGbm6QWMwkGEy+Gayra2Pdut0sXryWUMiH67rceuts6upaCYV81Na2smdPXTpISD02ny9zQYVoNPmh+FSZM9RThVJfqo66CiKXLt2Epqm88MLG9LYjq4WiUZO3396b/rJq+PCBzRLsSW+qsjo+llT42DF4hNN3yPlQnWdAzjVCdDRUQUTH0CddMaRAljeLsC8MQEOsISP8OdxymKZYE5tqNvHw+oeBZGXQ1JKpjC8cz7a6bel95gZye6zM6k0o0/Hxb6vbxpHfF0cSEcbkj+GTMz7JC9tfwKf5KAwVUhBKrpDXEGsAwHbt9Ep8AIZtECacrsrqGDpFEhHe3Pcmnzr7U/g0H6XZpRnBUl8Ghg9meNjbsGswSfAk+sxxHNra4hiGlbE9kbCxbZecnMCAKp80DWIxk7a2WIetFvE4ZGUFyM7uflh0byiKRjAYoLk5hmHYWJaNrmv4fMntXYUn559/Pq+//nr675WVldx6663ccsstjB49OvP4HQ+apmFaFqZtEo/F2L1hN6+/tprd7+1C9amU/b9kOaYaUPGV+ygOFnPdouu4+OKLueCCC8jO7v4DSMATwK/6SSgJEm6y6khBwaN48Kt+/N6unx/Hcdi9e3e6Rc4wjIw3anfffTfbtm3LuE1BcQEjK0cybvK45BBtVSOaiPL0008fufteiyai5PhySNgJzIjJ5jc2s3XtVm7991vJ8eUQTUQpLi7GcRymTJnC5ZdfzsKFC5kzZw4+39FfEHVdR9O15ByqBFiqha7oBL1BNF3rVTAGyXAsN5BLbiCXicUT09v/lvM3/rrlrxxoPYBhG5iuieM6hPQQuf5cAnrvhh+eLL7whS/w97//nZUrV3b7bXJ3PB4PZ511Fjt27Ojy8m984xt85StfSf+9paUl3bIqTl/dtWEVF4fZsGH/gOfh+Hw611wzg7KyPPbvr2fEiALOOWdMel8dw4HsbD+33HIeS5duIhTy0tZmMGdOZXpGlOM4rF6d/P22bYfq6hb+939XcsUVZ7BlyyHCYX9GkJB6bKGQj8LCcHo/waDvuM0Z6klf5xD1tlWyt1VHXQWRkYjBxo37M7Z1rBbatu0wy5dvIRz2E05+3mH58i2cfXbFkFQT9fYxd3wsHcPHVPAIp0742BdDeZ4BOdcIcSx0DH1C3mTbXEGwIP3fkFl5NKVkClNKpvDuoXd5edfLLBy/kISVwKt72Vi9kcsqLyPsDZOwE1TkVpAfyGd7/fajhiN9CWUqCyqZVDyJf2xvnzWXOt7cQC53zriT8yvOT+9nePZwVu5Zma7Smj9mPm8daF8mO7W9KFSUrv5yXIeDrQfT4z3e2P8GEwoncMHoCzKOqa/DxwcjPOxL2DWYJHgSfWYYFoZhfbgqnNNhVTg1fVkgMLCV50zTxLIsIhELy7LQdZ1QSMc0zX5X9KQoCjiOjd/vQVHAtpPH7vN5cBybmpoaFi9+lM997nPpQebz5s1j69at3HTTTdx2223MmjWr25VUFEXhnbfe4a3Va9nxzlb2bduHY7dX7qCBYzqoHpVh4WE89upjzKqY1evjzwnmJI8rAaqr4uCguiooyeAlO9D+xvWhhx7i1VdfZcOGDWzatCmjUiscDvOd73wn/ThuvPFGamtrGTZmGIGyACWjS8jKzsLFRUHBcAwUS0HX+v+yYVkWb7/xNs8ueZZ1r65j1+b2pVbnXzGf4fOGo6Ly5S9/mS9+8Yt9fnOoKRqxRIyEncB2bRzXwcYmYSeIJWKoysAqkgKeAGFvmBx/Dg7tP1MVlbA33Gnp1pOV67p88Ytf5JlnnmHFihWdwtXesG2bDRs2ZFTtdeTz+XoMEsXpp6s2rEWLprFu3V6WL9+S3tbfeTipmUwd93/gQGN6Xx3Dgb17G8jLC3LllWeSkxOgpSWeMQzcspx0iBQO+zjjjBEYhsWoUQUoikJzcywjSOj42MrKcsnJCTBnTiWXXTaZCROGnXCzffozb2uwV6zrKog0jPaqs46qq1sYP95i9+4aystzM1opU5cPRTXRtm2HWbp0E5GIgWGY+Hweli7d1Okxd3wsHcPH1GM5UcPHoXIszjMg5xohjoWOoU9TrAm/7mf5ruXpAeHzx87vsmKpOdZMyBtiydYlxK04CTvBnFFz2Nuwl9KsUuJ2nDX71rCnaQ9Lty/tMRzpbSjj0318dMJHaYo3pSubOh7nkfupLKjkrPKzONxymLpoHdtqt1FVVEVNpCYdWB1ZXZVqy0sJeUJdBkpDvdpgVwZzpb2+OLHe5YiTgmFY6TlMmWx8Pp1EwiYwgMIP03SIxawPh7XaWJaDrqvE4xqqqmOaTs87OQpFcUkkLJL5lYLrKhiGwRtvLGflyudZt24Ntm0zZsyY9JuZr3/963z729/u8s2LaZqsX7+emTNnAmA7Nksf/wfvvNo+3FTP0wmMC+Af5ycwNoDqUbl47MX89+X/TW4gt0/HH9ADZHuyiepRWmOt7Nu5j33b93Fg5wHaatv4+9/+nr7u4sWLef7559N/9/l8TJw4Md0el0gk0o/pO9/5DgD7m/azpXYL9bF6Ek7mHKcsbxa62r+XjWeffZbbbruNpqamjO3DK4cz6dxJBIuCuI6Lz+OjvLS8X/dhOcnfyaZ4E5bb/vsZs2LkB/Nx3IH97vg8PsrzyvE6PmKWi2u6KB6FgK5QlFeI3zewarwTxec//3kee+wx/vrXvxIOh9PztXJycgh8+I/7tttuo7y8nHvvvRdI/v6ce+65jBs3jqamJu677z727t3Lpz/96eP2OMTJp6s2LNu2+clPlmZcr79hRk/ByJFBR2NjlMbGKF/5ymVomprRGrZt22FUVWHy5DIcx+GFFzaRSFhs317NzJmjWbRoWkaQcLwHW/dVf0KkwV6xrqsgcuHCaezYUd3pusXF4W6Htx85x2swHTzYlB4WnlJYGObQoaaM56njY1FVhbKyXK65ZjpTpgzn6qunn9C/C0NBzjNCnNy6atVKzTfa37yfc0ecS9SKMqloEh+d8NEuwyLbtVm5ZyWWa5Gwk585Vu9dzZdnf5nDbYd5v/Z9JhVNojirmEgiwv7m/Wyv3z4o4UiWP6tTZVN3FVIdq7RSj7sh2sCiCYuwHTujfS5V/fXkxifTt59bMZe6SB25/lz2Nu7NeM6GcrXB7hyPsAskeBL94LpuF6FTkmFYZGUN7MN9IpGgsbGVlpb28nPbdjAMC11vpawsDPS/ssQ0IRjU2LevjffeW8vrr7/E+vUricfbq4FmzZqVrnaC5Buh9mOxeffdd1m2bBnLli3j1Vdfpa2tjV27djF69GgcLGZdNIsWt5nmYU0ExgXw5LeX1WuKxtcv/Dp3zriz26qpo3nooYd4+umneX/z+xzaf6jT5YcOH6JyVDJxv/nmmzn77LPTs5jGjRuX8bi64tW96IpOjjcHy7HSFU+6qieH6/VQgplIJFizZg1Llizhggsu4KMf/SgAY8eOpampibz8PKrOrqLi7ArGnT2O7PxsUEBVVOJGnCx/71cVPFI0HiViRsgN5JIwE+lj93q8RMwIbbE2yOv37skN5ZKrFxM3PGgxk4Rj4zU0ggEPuXoe2cFTo03igQceAJKVfh39/ve/54477gDggw8+yGipbWxs5K677uLw4cPk5eUxY8YM1qxZw6RJk47VYYtTxJFtWC+9tKnL6x0ZZqTawurqWnEcF8tyKCvLzfhA31Mw0t3g64kTyz88rvbbpK67d289f/rTG+i6SmlpAdnZAfbta2DChKOvvnai60+I1NcV63rSVVhXUVHYqWrtkksm4TgOL720OaOaKDVDacaMiiGrJtJ1NSN0Aqira0XTMitsT7bgcajJeUaIk1d3rVpTSqakt6UGaR9qOcSU0ilM8U/JuP32+u3sa95HYbCQukhd+rKCYEFy1WvXJT+Qj6IoPLXpqfTlft0/aPOI+tO21tNtfLqPq6quItefy8bqjeQF8jjccpjWRCsuLo+880h67tW8MfO4quqqIVttsDvHI+wCCZ5EP/QclgxsZa/WVoNYzMTn0z8cXp4cPq3rKrGYSUuLQdEA/l04jsWhQ61s376Fn/3sq+nt+fklXHTRR/jiFz/DhRee2+l2r7zyCvfffz8rVqygsbEx47KCgoJ08KQooBYo1Lo1KDUK2ee0v+HOD+TzX/P+iysmX9HNsTns3bs3PYdpw4YN6YGbqfDrvXffY/nS5enbFJUUUVlVSdXkKiZMnIDH2x5y3XLLLX1+fhRFoTBUSF20joSdSA/o9mpeCoOFXf789+7dyz/+8Q+WLFnCyy+/TFtbW3p7KniaOHEib7zxBkVjithweAPVbdWYjplsFUTFo3oI+ULEEjEIdbqLXkk4ieSv34dth7ik/44CpmMefQc9KAgUozX5sVt8OG0+nISF49WxTdCa/OT7h/YF+1jpTTvrihUrMv7+05/+lJ/+9KdDdETidNNxtpCiKOmW7o6OXIkuNRTcdZNDmwsLw5SV5XLZZZPT7WE9BSPdhQNAlzOmrrlmBo88soasLB+aphKLJfB6dfLzQ9TVRbq8r4E+HwOZcdUX/QmR+rJiXW91FdZ19TN69dWtAOlqopycAIZhMX58KVdfPX3Ini9VVZg3r4oVK95Pb5s3r6rLWZcnU/A41OQ8I8TJq7tWre7CoI6VNB1DqzH5Yzjcdphcf25yXIUCpm0mv+z26lTkVvDs1mcz9vXaB69x8biL+1X1NJCB2r29rWEZ/PX9v7Js57L0jKe5FXMZnjOcF7a/QFm4LH3dVHvbUK022J2+ro43WCR4En3m8aj4fDrRaJx43MK2HTRNxe/XCQb9eL0DW9XOsiwcxyUaTc5LSK0q5PN5CAZ9GSud9VZ9fT1PPPEETU1NXHvtbdTVtZCTU8aoUZMoLCzjrLPmM3bsZPLyghQXl7Nr1y6WLVvG7Nmz09+k1dfX88wzzwDJ+UgXXngh8+fPZ/78+UyaNIlVq1bx+c9/nsVPLaa2OvkCqwZU8i/PR9EVKvMr+dSMTzFjxAyA9Gp0AI888gj/8z//w8aNG9OhTUebNm1i9uzZAFzzsWsoG1XG+InjGTN+DDn5OcmlPjU9PRR7IHQ1WdWUF8gjloilq4YC3gA+3ZfRamcYBtOnT2fz5sx2jOLiYhYsWMC1116b3qYoCueccw5bqrfg9XoZlj2MuBXHtmw0XcOv+9F1nWgiSn/pSrIqK6EkOg0S1xUdj+rp5pa940ZVnPpsGj9oJBq1sRMOmtchGNQYHsjGjaoDqqgSQnSeLZSXF6SqqpT33z+cDp+ODDNSbWGVlSUsXrwWSFad5OQEMtrDehOMHBkOHG3W0Z49ddTXtxGPt4faqfsdrNau/sxaGgzjx5eyaNE0tm2rJho1CAZ9jB9fctQQqTdVPYMRonUV4HQMylRVSQ8XnzSpbEifp8LCMIoC118/k2jUoKAgC01TqalpYcOG/ad1VZMQ4tTUXatWd4vsdKykSYVWjuuwqWYTZ5efzao9qxiWPYzatlourbyUukgds0bMyqiEgvYB4P1pCRvIQO2+3Db1+FRFpSxcRo4vh50NOzlz2JmUhcs6zZutjdR2auNbs3fNkK40N5ir4/WFnAlFn+m6jqKoRCIJTLM9eLJth1Ao2OuVw462f9O0qa9vI/WFWDxu0dZm4PHoncrXu5NIJHj++ed5+OGH+fvf/45pmoRCIebOvRLbdjFNi1tu+Tauq9DWVs9bby3jwIH3ueeejRw6dACAb3/729x9991Ashz83nvvZf78+UyfPj3dsnbvvfdy2WWXUVNTk75vNaASnBwka1oWjukwLjae/MOFPLL8EX514Fe8v/l9nn/+eaZPnw5AU1NTetU8j8eTnsOUapGbPHlyet/z5s5j0vRJNEabiBlx6pua0HSVgM9PXjB3wC8aqZUZNFUj4A3guA6qonJg7wFeX/E6scYYP/rvHyWv6/MRDCZ/5uedd156Bbozzzyz25UNVVR0dOJuHAUFVVdRULBcCz9+dKX/L0shf4i8QB6aoZGw2udTeXUv2b5sAr6BrTp36GAz+/a00FTtJOePmS6OY5DI9rPP10L14RaGlxcP6D6EON0dOVsoNRz6jjvOB+gyzEi1hXVcIQySIUc43N4e1td2J8OwWLVqG1u2HKSysiQ9rDoVZlVXN1NX19qp4mXOnMpBa+0a7IHdfRGNmrz99l4Mw8Ln0xk+PL/H2xytqmcoQ7ShqLbq7f3OmFHBSy9tJi8vSCTSwMaNBygry+W55949JiGhEEIcS921ao3KG9VjJU0qtIokIuxq3MXEool8euanUdxkx0VRqIjhucOpLKjk/dr3WbF7BYZtpAeAq4rar5awgQzU7sttO4ZyqqIS9oUJEyYvkNflIkepx2JYBn9+7888t/W59ONdNGERN0y7YcjCp6EcJN4VOQuKPlMUh7a2GMliHQVFUT/8f2hri1FUNLCVvTwehVgsQSDgIx43sCwbXdfw+33EYgl0/eitfOvXr+d3v/sdjz/+OA0NDentZ555JrfddhuGYWLbLpZl09JSxx//+F0aGjJnJXk8Hs4991xGjRqV3pafn8+//uu/snz5ckzTTAdP8Xicmpoa8vLymL9gPm+E38AzxkN0S5S6v9RhNVrsdfd2Os4NGzakg6dFixZRUlLClClTqKysxOPpvjLHo3kwYgmaWltxXCdZkWQrGAmToBLEkzOwqh5FUfDpPhpaGnjt1ddYs3wNr7/yOvv3Jpev1nWdu//zbsIfrlP9hz/8gbKyMnJzc3u1/6xAFomGBI7r4toKuCquouCoLgk7QcDf/3AoP5SfrPhyIapEsV0bTdEIeoLkBnIpCBX0e98A+/Y1c+hgG7t21NHYGKel2UDTFEaOysGn+9i3r5kZMwZ0F0Kc9rqaLZQKny65pOtZLqlqlyNXO0t92O9YfdTbdqfW1jgPPbSKp59eRzxukkhYzJlTmR5WXV3dQklJDo2NUfLygumKl2DQx2WXTR60oGGwB3b31rZth1m+fEu6cghg+fItnH12Rb8Dr6EM0Y7XDKWO97t7dx2///0qyspy09V5fXl8R1aDVVQUsmdP3TFtsRRCiJ4crVWrsqDyqJU0qdDKsA2KQ8X4dB+/ffO3DAsPI2JG+MQZn+CisRfh031UFVVxxcQrBqUlbCADtbu6reM6bK3d2qn1rr+h3Pu17/PYe49lrIT32HuPMW3YNM4YdkaPx3gykLOX6LNo1MK2baLRBImEk654siwbr1cnGrXwer393r/rKgQCOgcONGDbqa0mmhZn3Lhi4OgVT8899xz/8z//A8CwYcO45ZZbuOqqq6ivr2fZsmVs2fIQlZWX4LoQCuUTiSRniAwbNobx48/k2msX8clP3kAolBw0lEgkWLZsGYsXL+Yvf/kLDQ0N/OY3v6G8vJwNGzbw3nvvMXr0aA4cOEBdWR3eYcnHrngUrIbkEPas3DDDKsoYXTma8885nwVzL2XKlPaUecyYMYwZM6ZXz08sESNmJvDp/uQAbddBUVS8upeYmSCWiBH2h3v/hB/BdV1+8v2f8Otf/JqE0V41pHt0Zp47k49+5KPY7T+YPg/1DHvDBPUsWiNR2ic8uCg25OdkEfb2/9gDeoCiQBFN0WZ014f24XwqUCgKFOHXB7bq3MGDDbz++i7q66PpajzLgqbGGLt31xCJxAa0fyFEe4jkOG7GEvWFhZnD3zp+SC8uzuaiiyaya1c1t946m23bDjNyZD5+f7JF27btdNVObxiGxd/+9g6/+90rWJZDJGJQWJjF6tXbufrq6elV0jpW2XQMxyZMGDboz0fn7UO7mEFfAy/DsNiy5QBbt1YTCOhUVBQxYcKwLivTervPvjpeM5RS91td3UI43Pk809PjSz13q1fvoKEhkh5WXlQU7tRiKtVTQojjradWraNV0qRCq2e3PEtFXgVLti6hIFiQXtWu4wynwWwJ681A7e7mOB15W8d1ONh6kB31O9hRvwNob73rbyi3vX57RugEUB+tZ0f9DgmexInPcRxMs304t8ejdtv+1BexmEE0miASMUgkTEzTweNRMU0PXq+OYSQYyKpziUSCeNwmOztIPG7iuqAo4Pd7iMdtTDM5S6O5uZknn3yShx9+mM9//vPccMMNQHKg9oYNGzjjjDNobGxkxYoV/PjHP07PhiorG86//dvlQAJNU7nppm9SWFhOKBQmPz/I3LkT8Xg8PP/88zzyyCMsWbKE5ub2N8uKovDZz362y2N/b8N75A1LDvnxj/Iz+ytzmTflMrLzcvD7PGi6xqzR05k5bnq/n5+WaHIGlKqoeHRPegZTqnyzNRrpdfDU0tLCsmXLWLJkCd/61rcYOXIkpm2SW5hLwkgwbPgwZl80mznz5nDe3PMoyC2gOFRMTqDrD0K9YTs2hb5iEn6LiBHFcW1URSPkC1LoK+7XDK8URVFQUCn2lNFstGJayflgOZ4wCmq/VhEE2Lz5IL/97QqefPItHKfzQNTm5gS5uZYET0IMgvHjS7noook88sia9AfwefOq2Lr1cHp1ua5atq655iyKirJ54YWN5OdnceBAE5s3H2TEiHzeeGNXnz60b9t2mI0bk1Wemqbi9erU1bVRVpZLNGqwaNE0bNvm1Ve3Mm3acM48cwQ1NW1DUmVzvFrI+hJ4GYbFY4+93ulnNmfOOK6+ekaHyrPjE6IdK/15fKnf5WeeeZudO5Mt+/PmVTFyZD4PP7yGsWOL02HWsWqxFEKcnvoyfLu/rVqpMGlKyRRe3fMqw8LDSNgJTMfscoZTb+6nN8fd00Dto81xOvK2kUSEycWTqYvUkevPpTBUyNbarazZu4bZo2b3K5Trbj7WQL80P5FI8HSKMk0bw2gfdmrbDqYJPp8Hj2dgM5gSieT8pUgkgeM4uG5y2WrDcHAcl+Ligb2BNE0HTVMIBpPHmhrC7fGogM2LLy7lW99awl//+lfi8TgAWVlZ6eBp1KhRbNmyhSeeeCJjv8OHj6KqajrZ2aNZtWoHNTWtRCIJAgEvjtNGVlYthw838s47z7Bjx2ZWr16dvm1JSQnXXnst5557Lrfffju6rlNVVZWewzSuahz3br6XZm97QBXKCjNn3HxQVVqMVtoSKgWhXBRloMPXbQy7fY5JxyHlhm0cNbhxXZf33nsvvQLd6tWrsaxkVdb06dP57Gc/i+3YXHLFJcyYM4PR40ZnhDWGbeC4/Q+GAOyEi6bqZHmyUW0d23XQFJWgJ4im6thmzyvddCdmxDBaXdqaLGzLC5aLbSu0WRYBxSUWjuEN9q4az3VdXnllK7/+9XJWrtx29MdkuyQSNsoA5lMJIZJ8Pp0ZM0axf39DunWtrq6V5557j0mTyhk/vrTLuUsbNx7k7bf3UlCQlTFkvKAgi3DY36cP7dXVzem2vdQXHx6PRiDg4ZJLJvHBB4385CdL09fvbajVn8HaPbWQ9Xaffb3vvgRe27Yd5m9/eycdOkFyZcGiojDbth1OP+fHK0QbiL48b/15fKn2w47v2VaseJ+Pf/zc9P2HO3yXNNQtlkKI09NAhm/3lU/3pat4Vu1ZNaAZTr097p6qp3qa49TxttFElGU7lxExI3g0D09seAJd0dlQvYGDrQfTwVpfjMobxdyKuazcszK9bW7FXEbljTrKrXpnIKv5DSb5lHQKchwn4w1MR4ZhomnKgCqfHMekrS3Z/mBZTroiSddVXNfFtge2ZL2uJyuzVFVB01SSOYrNY4/9ktdee5Gmpva5Tbm5+fj9IV555VW+/e2naWyMUVPTSkNDFh5PNro+HK93BD7fcGw7zKZNAA6wCwDXtYhGN7Jq1Ypuj+eaa65h8eLFaJqGbdtMnz6d8ePHZ7QTfnfZd2nxt6DQHtKcnTMbrx3GNR0UVUXVbBTLg1cb2AwmXdewHYdEh/DJdsF0wKv5Pmwt62zdunVcccUVHDqUOc+qsrKShQsXMuPD4UQ2NiVFJeTk5n44DyvZSun1ePB7fNiu3dXue81VoDnWnFytUPORejZM06Y51kxRds/Da7sTiRk0N8VpabIx2gxM28GjqfiyfHiVOIX5CXJ6KMYzDIunn17Hb3+7gq1bDx/1urqu4PNp+Hw64bCfQEBeUsXpq6cP6H35AF9T08L27dWdttfVtfHOO2/w+ONvsH9/I5CsDsnLC364EmryQ3rHIeMdP7j39kN7SUlOxtDw1DnummtmUFSUze9/vzqjDXDp0k09hloDGazdXQtZb/fZ1UqB5503DnAJBr1dtsX1ZWZSdXVzl+87olEj4zk/XnOY+quvP7P+PL5U+6HPl/neIBDwpPfZ0alSHSaEOLZ6Ch8GMny7vwZjhlNfjvto1VM9zYDqeNt3DrzDhuoNTCyeyD+2/QMFBa/mxat5+/2cVRZUcu6IcykMFhK1ooQ8Icbmj+3XPKuOjmWg2JMT80wvBsQ0j16RYpoOPl//gyfTTAZN0WgCy7LTFTfJAeAeLGtg7Xw+n4/sbD+vvbabHTuaqK+PEIkYvPnmK8RiDbTPeHI+DKGSQdQvf/k4Xm85AK47nYKCmV22VrmuhWHsIRbbjmHsxnXb5xh5POX4/SWcc84Mbr/9I1x99cXpIdoAmqZlzGYC2FS9iYffeThj25jweMYq04hGLRzLQdVV/N4A4cLQgCueQv4AruviOuDYLo7roioKqqbgqi5Bn5+33nqLJUuWMHLkSG6//XYAxo4dS01NDcFgkPnz53P55Zdz+eWXM3bs2Iz966qObTpEowkMy0jPkLJMF0/Qg64O7GXDsR2cRNfhmJNQsK3+V1RFWxPU1ESoqWnCttz076bWHMUxXUqLEtBNrtXQEOHhh1fz+9+vora2tesrkVqm20tWlg+vNzlY3+tVKS7OIytrYIP1hThZpT6gL126KR3ILFw4jTvuOJ9w2N+rD/AdgylFUXAcNz3bJsVxHF56aTPDhuUyZkwRhmHhOA5jxxbT1mak99VxyLjPp6fnRUWj8V4tcZ9aqWzduj3poeFTpgznyivPYs2aHRw82JRR3VNYGObQoaajBk+9Gazd16qk3g7r7ni9vLwgHo/GffctIRYz0XWVefOqmDZtOGPHFlNYGE7fb29nJpWU5HQKTiD5czgyKOnPHKbjNXS7P8PQ+/r4Uu15oZCPwsJw+vfKcVxuuGEm77/f/gXIiV4dJoQ4MfUmfDjccphWo7VT9VFvhm/312DMcEoFRqmWt0giQsgboiHa0MMtMxVlFTGuYFz69nWROpriTZ2qrwzLYHfjbiryKogmotiOjaqoZPmy0gUIvX3OjgwDL6+8nD3FewY8z6qj4xEodkeCp1NQTzNyXLf/rUwAqSzHdd0PZzy5eDzJ6iQAVe1fcOC6Lq+/vpUf/vABli37O62teykpuQtVTfW2FgCHSVYsgaL48HqH4/ONwOsdga63JwrdtTy1tr5OJLIO123/ZlZVs/D5KggGJ+HxDENRFDZvhn//91f40592c8cdc7jyyrPw+zu/qbYdm/988T8z2s+8mpeL86/EbNHwuAouoLjg2hpmJJmID4SmahQG8jjQUI+ZMHEcaGlu5L233mbD2rdZ8+pq6uuSw+lSrYEAubm5rFmzhjPOOAOfr/sXMY/iIRo3iETjxNssEqaD16NiZbl4VB19gO1kLi4BbxDHiNIWj2BbDpqukuUPEfAG6ecYJgCMqENNdSORqIVp2OlqLY9Po6a6EWN0Wafb7NxZw+9+9wp//vNa4vHuq/Xy80NcfHEV4bDOrl0NJBJm+oOx1+th0qQiSkuz+n/w4rTXnzasE8W2bYd54YWNHD7cTGtrHE1TeeihVeTnh7juupk9foDvqiKnqqq002Bly3LIywviurBkyQYSiWSr8E03ncO5545h+PB8li/fkq5W2rjxAMGgl4MHm5gypZyXX95CY+O6HiuNjla5ousqdXXJbRMmlKaHlnu9R/9Z9TRYuz8VUb0d1t3xeoWFYZ5//j3q6toIBDy4rsqSJRtwHIdDh5rZvr26T/OwDCO54Mj8+ROprCzmnXc+oLq6hXnzqhg/viQdlPT397ur343eDN0ejH9Px2JFwY7teWVlueTkBJgzp5KLL57E6NFF7NlTe1JUhwkhTlw9hQ+GZVAXrWNX46705QXBAsrCZX1qe+uP/s6KSinKKiLXn4uLy1ObnsKjevBqXlRFJT+Y36vwxrAM3jnwDit2r0gP+J5bMZcFlQs6VRxtr9/O+kPrOdhykIvHXsyG6g2oiortJEehhAn36jk7Whg4mIHQQFbzG2xy9joFqaqKbXcf/vR3wHL7/hUMwyQSiZNI2Jhmco6O47hkZflQlN5XPNm2w+uv7+CBBx5jyZK/0Ni4OSMUMox9BALJf/Ch0Bk4TuTD1rkR6HrhUe/LcUwMYzc+30g0LUBhYRahUAE7dpgEAnmMGHEWI0acRU1NgLq6ti73sX79B/zzP3/APff8jZtuOofbb5/DyJEF6cufeO8J3j38bsZtrh9/M6XxCg4nGrBjcRKWg1dX8QT8+OwwljGwVjUFBQWdLC2LJqOFb/zzl1i/bl1GoBgOh7nkkktYtGhRxm3POeecHvefMG1iEZvqA1Fs20pv15p1fMMDJEwbBjDnTlM1FBxa2qIkTCsZ3pgOjhUly+cfUBtoLGphRhVqqluwDBvbcdFUBd2nMbykgGgk+dy7rssbb+zi179ewYsvbjpqGDt2bDGf/eyFfOxjZ1Nb28iyZVvJyfHT2pogkQCvF8JhL0VF+ZSV5fb72MXpbSBtWCeCgweb2Levgb1721dkKSzMYvv26vSH/66kPsCngqlRo/IZNiyXhoYIpaU5zJlTiW276Q/d27YdprAwzOLFa9NzlxzHYcOGA9x88ywmTizn7LNHUV3dSnFxGNt22LYteQypWVDQuyHN3VWuqKrClVeeyb59jTz77Lvpxzp6dBHnnTeu259XT4On+1Nd09th1h2vF40a6fcIqfcLiYSFYVjpFsUjQ8HuApzUUPG//e0dEgkL13W56KKJnHnmSIYPz0u37w3k9/vI56WwMMyf/7z2qEO3B+vf09Ge38EKintqzzseq/QJIU4tPYUP2+u3s+7AuowZQ/XReq6aeNWAW72GWmVBJTPKZ/CT1T/BoyaLBOqj9SzesBjHdRieM7zHtrLt9dtZuWclZeEycnw5GLbB/ub9VJ7VObSqbasl5A1RE6nh5Z0vM610Git3r8Tv8ePTfL1uFTxWlUi9Wc3vWDnx382KPkuuMNdxVbtkVUZqVbvkkO6BcIjFTGKxxIf7B9sG27aJxUzcHoZPJxIWa9bs4Lnn3uWpp5awd+9TOE578KNpOQQCEwkEJqLr7W/6PJ5i8vOvzthXbm7ym8/i4jBFRdnk5GgcPryZLVvWsH79axhGnPvv/x/+6Z8+g65rVFdXs3z5m0AhDQ1tWJaDZbkcPtzEO+/s4/33D3cZ2jU2RnjggeX8+tcrmD+/ijvuOJ+p5xRx36v3ZVxvTP4Yrq64gTff3Uprs0O0zcayHXTNxcxyyM1JoFj9m/F06NAh/vGPf7Bq9Wq+8C9fo66hFceBQDAL13UZU1nJhRdexMc+dg2XXXwxHk//7ifSFqOxNoHm6sQNCyfhonoVvAGdxtoE0eI4+eH+r2qnazqN0VYcC6w4WKaL7lHQFWiMtjJK7f9qPbZt09QYJ9JkEouZ6TbEQMBDkzeOZSV45pm3+e1vV/Duu/uOuq85c8bx2c/OY/78iekwrLQ0j6qqYWiaSl5eAscBVQWfz0tlZQmlpXn9PnZxeutP6HAi0XWVmpqWjG11dW0UF4eprm7pMSCprm5m1Kh8olGTH/5wSfry226bzb/920fSAcP48aXk54eA9tmChYU55OeHqKuLdBkW1de3dTkvqr9VK4WFYXJzg7z88hZKSrLRNJVEwmLVqu1cdtmUbn9ePQ2e7k91TWqf69btobAwnG4JrKgo7Pa+g0FfeqU+TVMxzeQXDD6fntGiWF3dwvjxRw9wtmw5kLGSHSR/bz/ykalMmzYivW0gv99HPi+pcOxoQ7cH699Tdz+ziorCQQ2K+9N+KIQQvdVT+FDbVktTvIlcfy7XTro2PWNoUvGkXlULHc/B1T7dR2GwkDF5Y4iaUfa37E+uBKdAxIz0KsxJBXOqohL2hQmTPLk0xDq36xVlFVEXqcsI6RZOWMiYvDHMHT2XqqKqXj3+Y1WJ1NVqfgsqF2A7Nst3LqcoqwjbsWmINgz5z0+Cp1NQcjC3SnNzhHjcwrIcdF3F79fJywsPqKIEIBJJltVrmoptAzioqvrh35Ph05Gi0QSvvPI+Tz75KsuWvYNhJP9B27YPx4mgKD4CgfEEAhPT7W4A4bCfiooCcnKCZGf7GDYsj7POGsk554ylqCiMz6cTjUb5y1/+wpNPPsnvf78kvdIdwJgxY8jJCaLryblKJSUlnHnmDNat24VlOdh2stJl2LBchg/P42MfO4uDB1t47rkNHDrU1OlxuK7Lyy9v4eWXt5BVBPGqIvQpMZRA8jHfc8k9KA06zTUmTXVtWI77YTjhkIi3ke0PYHTx/HTFNE3WrFmTXoHu3XfbK6vmXrKIopIybMfllk9+jrs+/xWKi4oJ+L1Mrqzod+gE0NoWIxGzaKiNkLCc9Iwno9VGL/LQ2hKDkn7vnkQigR3VqK1uwErY2K6LpijoXg2/VkQikeh5J92wbYe2thixqIVtW+k20JZmhz27d/HnP6/rtroNkh9ir7zyLD7zmQszPjSleL1eJk4cTijkob4+mm7lKygIMnJkScbAeSH64li09AwlVVW4+OKJ/P3v76W3zZtXRVNTNF3BkfoAn5cXpLAwTH5+CNu2MQyLkpIchg3LzQidAP72t/XMnDmaYNCbriqZM2fch6uAJVvcQiEfqqp0O3S5P0vcH8348aWsXLmVSKR9gHlhYZhQyHfUn1dPlS39OU6fT+eaa2bQ3BxjyZIN+Hw6+/Y1YttORgiSul55eS779zfx6U/P5R//2MjWrYdQ1eSMp9zcYEaAVFKS3WOAs3VrdcZtAOrqWtm6tZozz2xfiWcgv99HPi+pcOxoQ7cH699Tdz+zkz0oFkKcXroKHzpW5qSCqaZ4E03xpvR1FlVldk4cqb+Dq1NhVUOkAdu1sR2b0uzSLkOP3gRbpdmlhH1hDNvImEUb8iS/qOopzOlLVVBlQSVnlp3J+oPr0yHdpKJJfHTCR8ny937kxrGqROpqjtY7B97hl6/9Mt2iuKlmE2XhMlRFHdLB4xI8nYIcx6GtLU40mgyIXDe5YpjjgMcTx+/XBxQ+xeMmiqKQSDhEozEsy0XXFSCAoigYH7aStbbGefHFTTz77Dqef/45mps3YBh78HrLKCi4HgBNC1JQcB0eT0l6LlNZWS5jxhQyZkwhRUXJgEpRFDRNIRj0MnZsIeXluelwqqWlhVtuuSXdLjVu3Diuv/56rr/+es4888wuWwt13YPXq5FI2OlV+bxejby8MPPmTeK//usqXnxxMw89tIpXX93W5fPQVgvUTsZaU4VWdYCLrhrJ7JGzefWDzbQ0Gni1AJZpoNgOaCpej4+WRoNotOdg5Xe/+x3/+q//Smtr+xt6RVE4++yzmXXu+fj0ILgKiqNSXlqBogKugp2AtjaD4sLu990T23SprWsi8eGQegUVXEiYDrV1TThjOwcyfdEWjdPSmMCO61imi+M4uKqK4ui0NCaIxfsfPBlGstWjpSWOadrE4wmqq9uorW1Nh4xdyc72c8sts/nkJy/osV0uJyfAhAlltLQkcBwbVdXIzvZK6CQGZLDDkWOtsDD5pcYNN8ykqSmKz6ezdethLrtscjpcufHGWZx55giWLt3M6tXbCYV8vPHGLhYtmsbYscXEYiaXXTaZDRv2c+hQM1lZfnRdZfny96mvTwbGixZNo6oqGT6tXr0jHTodbehyf5a4h+5nBPl8ep/Dr5SjVbb09zj37Klj7drdFBa2v+HtqvXsmWfWpfftOC4XXFDJxz8+C0VRsCybV1/dlm5FTN3vq69u7fI+UwFOdyt5plZkSxnI7/eRoWVWlo9rr53B+vUfpCu6j3yeBvPfU1c/s5M9KBZCnF56GuLdUzDVnf60i6XCqvUH1+PisnLPyvQ8qflj52eEHr0NtlLH/+yWZ9Pb5lbMpS5SB/Qc5vTl8Q/GQPS+3udAdZyjtbF6Y7pSqzBUyFObngIgx5dD2Bce0sHjEjydgmKxBK2tcVRVQT1iBbLW1jihkJdQqP9DelQVWlpiRCIxLIsPgy2IRGIcPuzy4osb+elPl/LSS8tpadlEPL4tY+U417VxXSsdNHm95UyaVMZHPjKNRYumEYvFWbNmB21tCSwrFRa4tLa28fbb6/jjH98hFPLy3HPPAVBaWsrtt99OeXk5119/PdOmTTvqHCtNA10Hr9eDqibng6iqiq6rH25PrtC3cOFUFi6cyo4dNTz88Gr+/Oc3aWmJd96hrWFvGslLm+Ajz/+UmeeMxEy4NNTFPlz1L1kxFNcdAmVeTKt9xpNhGLz66qssWbKEm2++mbPPPhuAYcOG0draSlFREQsWLODyyy/nsssuo6ioiB2797Png3qisQRmzMJ0HTyKiifgwRtQURjYDKlkhZwXMxHHMp0Pq9s0dI+KrntJJHpXsdWdWKuBETPRFED14CrJ4E9TwIiZtLXEobx/+45GDWpq2vjgg0aamqJd/7w6GDEin7vumstNN80iK6v3/ya8Xi+FhRI0icHT39DhRDF+fCkzZ45m6dJN+Hw62dkBPvKRaUyY0H78Pp+Ooqjs21fP9OmjiEYNCgqy2LBhP48//iaGYbJx4wHmzZtAMOglFjM5eLCJrCwf9fVt5OUFWb16B0uXbmLixGHMmjWGkpJspk8fSVVVeb8GhXenpxlBEyeWc8010wf159Wf44TehSBHVuioqsJbb+3hoosmpuc4TZhQ2ul+UwFOalVAwzDx+TwUFia/Ra6oKGLevCpWrHg/ve9586qO2uqX0tvn68jQcuXKbQwfnseMGRUUFISYPXscEydm/vx7qrAb6Ny0kz0oFkKcfo42xLu/YUp/VsJLhVXjCsalQ4/6aD05vpxOoUdvg63U8U8pmcLr+16nKdaUXpWuN2FOXx//QAei9+c+B0vHFr9IIpL+79RgdBi6weMSPJ2CIpFkyGPbyWGhqVY7n09H03SiUXNAwZOmKUSjBtFochnraDTBwYPNHDzYTF1dK64LTU0vEItt6XCb8Idzm6rSq8/NmDGKj3zkDBYunJrxJnXTpn2EQsnlt5uaWti8+TU2bFjNjh3r08OuVVWlrq6OwsLk7X7/+9/3+vhVVcfn86JpyRlVtp0MhjRNxefzAlrG9ceNK+Y737mGr3/9IzzzzNv86Fd/oXpP11U569d/wPr1H+D1ahSXZlFUEsTr01FV8Doe4lGH/fv286tfrWTJkiUsX76caDT5DbPP50sHT/Pnz2ft2rVMnz69U3Wax+PBMCwa6+PEo3EMw8HnU/EH/WhFKpre/za75P69eBQPDZEIRjw1J8nG5/eQHfLg9w9gsjjgOBpGwgQUVM1NV5yBktzu9v5lyXEcNm8+xJo121m9egerVm3rstXzSDNmjOKzn53H5ZdPTbdhCnE89Td0OJ6OrAi65poZnHnmCF54YRPLl7+PosDKldu48sqz+PjHz8Xn09PniMWL1wLJJeTHjy8lK8tPMOilvDyPV17ZxhVXnMGbb+5mwYLJNDUlXyMLC8OsXLmVsWNLePjhNenjuOuuC6mqOnpa3dcZOj21Ug3Vz6s/s356E4KkwqkjA6RDh5rSj6er+x0/vpSLLpqYMcdp3rwqtm49zMSJ5UyYMIw5c8ZRVJScLxUM+hg/voQJE4Z1elwDeb5SoeV77+0jHPbT3ByjuTnG9u1wwQUTOu3nyLBqy5aDADzxxJtMmTKcK688Kz03rD9O9qBYCCGO1Ncwpb8r4aWCj46hB7QHHx1Dj77MQfLpPs4YdgZVRVXJ1rw+hjmDESb11fG4z44tfiFvqP1YtPbnaKgGj5+472hFv7lusuqp4/yJRML+MHDykZ09sODANG28Xp3Gxgjr1++npqaOWGwbfv9YNC35C+z1jiQe34nfX0kgUIXXOxxNU5k9exwLF07j8sunMGxYbpf793g0wmE/ixf/jiVLHsNx2it4RowYwzXXXMNnPnNnOnTqq0BAI5nlKGgaKEr731UV/P6ug4hg0McFi8r5/2qexftBCPvdCuxtZeB0bltMJGz2f9DM/g+ayc7xkZXlxeOJ8/e/fJe2I15Ehw0bxuWXX878+fM73FcwHUIdye/1EGk12L3zEJE2Mz1nKJTlIeAfjq+HJb174vNqqK5Cos0hHrcxLQePrqJYGmqRgq4NbFVEj6YT9oU5UNtALJKsqtI9KoGQn/KifHS1+yDIdV22bj3M6tXbWbNmB6+/vjPdGtIb06eP5O67r2bmzNEDegxCDIWTacBwdxVBZ5wxnCVLNmTM/Xn44dWMHJmH6ybn/aVCKUjOZVux4n1uu202e/fWM2ZMEXl5QaqqhnHZZVN48cVNNDfHgGRF44QJpSxb9j663v66u2TJBubNqxrU2Tq9qSI6UX5evQlBSkpycByXgwebMn42tbWtR60A8vl0ZswYxf79Delgqa6uleeee49Jk8qZOnU4V189g23bDvUYKA30+epre1vHCrtQyJcOO5977j0aGiJ85jPz+h0UnoxBsRBCDKbt9dtZu38tc0bOYfnu5aiKSn2k55XwUsFHx9AD2oOPjqFHf+YgHY8wZ7AN5cD2ji1+qSHpm2o2pX8eQ9XuBxI8nZJ0nYzQqaNIxGCAs8Wpq2vjxRe3sGnTIWy7lZqahwAb1zXJypoBQCBQSSAwDp/Pz9y5E1i4cBqXXTaZgoKuh67V1tbyl7/8hUWLFhEM+ggEPBQXD8NxbMrLx3D22Rdy7rkXc8YZk5k2bQTl5QX9Pn5NU1EUBV1XUBRPemUyTVM+3N71E+S6Lve8fA8J20ArN9DKG1DmbeZ69eu8+JddHDzY1MVtHFqaDVqaDVzXJRptA1QCgeGMGDGV6dNnM2vW2VRWljByZAmJhIW3h+Copdnk0P5G6uuiGGb7jKp4PLm9tcWkpLjfTw+qotAWTRBPJDDiDrbr4FigqAnaognUo7Qx9kYo5Cdh2MSaLOIJB8d2sBKAaZHItgmF2l9YXddlx44a1qzZwZo121mzZmd61kuvH4+qUFoaZvLkYdx880wJnYQYBN1VBHm9ekaw4bqwf38ja9fuYfPmg4wZU0RWlo+2NgOvVyMQ8ODxaESjCRzHRdNUCgvDXHhhFePHl9LUFE3fTzCYvJ2mZb5G+3x6p/BhoEvdn0ytVL0JQcaPL2XWrDH87nevpLfNm1fFm2/uYtq0EUcN7WpqWo66KuCxCuD68zOprm6msDCcDp1SBiOsPFGCRyGEOB4Otxxmc+1mNEXjojEXkbAS5AZymVAw4aghSSr4WH9wfXpluIJgASFvqFPocSznIJ0ojpxr5bgOM4fPZFLRJPJD+QMOobpq8bMdm4ZYw5C3+0nwdApSFBWvVyMeN7EsNz18U9cV/H4PitK/5Mk0bR588FX++7+fT7czaVr4w9Y5N13t5PPpXHrpGSxcOI1LLpnUbTl7TU0NTz/9NE8++SQrVqzAtm3uv/9+PvGJOwgEvFx44WVMmnQWpaUjUFUVr1clEPDi9w+slcw03WQrX8IhFo/huKAqEPAHkqFIoush1Eu3L2XF7hUZ226dcwN3X3wr3/263e0wctd1UZRkqJWffzWalouq+mhthVdeqeWVV9pXcdI0lVGjChg7tphx44oZN66EysoSxo0rJjc3CMDhww3U10dQ0FBcB1wXBQUFjfr6CIcPNzJuXP+XnYu0JYi0xIlELcyEjWO5qLqCjUakJU40MrAZT7ruYBgmtm0Sj1okEg5er4pHU4jHExw4UMcrr2xjzZqdrFmznZqa1p53eoRAwEM4nKzuy80NEAx6KCjIIhgMDOjYhThZDTSIOVJ31Sdtbe1z1TweDV3X0DSFoqIs8vKCaJpKImExcmQ+zc0xmppi5OQEMIzkPKeystxOA8lTgUpxcZh3393HK6+0D7xOrSbXMXzoaT5Tb/SnlWqwn+O+6CkE8fl0pkwp5/rrZ2ZULjU2RnsciD0UIVx/nqv+/ExKSnKIRjt/EddVWDkYxyiEEKcLTdWoj9YDUBOpSW+/ZOwlR71dx+CjIdrAogmLul3V7njNQTqeOs61clyHg60HeXDdg3xs8sfYUb9jUFadO15VYXIGPQUpikJOjp9YLIHjODiOA6i4rkpOjr/Tt8W98cYbO/nmN59iy5ZDnS4rKPgYgUAW48YVM21aOZ/61BwmTRrVxV6gra2Nhx9+mMWLF7Ny5coPjy1p+vTpFBYW4roQCHjJy8sjFAqngzOvVycQ8AIDq7hxXRdUFzwmjmliWxZoOnh0UN0uK8IiiQjfWf6djG1FoSK+cv5XADKGkT/8p1f4zQOv8MHuJmxbTa+2B+DxHD0Qsm2HXbtq2bWrlhdf3JRxWWFhFuPGleDxKLS1xQmH/QQCnmSFlgKWZVNfH+PgwUYaGiLtj7W754BkNcKR2/bsqfv/2bvzOLfqen/8r7NnT2Yms3fa6TLTfQdqWygtVCo7CMgVF9Sr9/ITv1dBRUH9XsH7BXfFK4IbogiCqAVkLbTUCoUWSwvdpzvt7Jkt+9l/f6TJTCaZmUyWWd9PHn3QOTk5OSdJ5+S88v68P2hvC6O7MwJZjvV44jkGkiTCbpHQ3NyDujoVHMeC45hhz5DY1aUgHJZx5kwPIhEVoZCMrq5IomdHIJC+Wm8w06aVYNWqWSgttaOlpQttbQEoip6oZmNZFlYrD0Ggfk5k8skliBno4tvrdSAQiCZ6BcVndZs+3Yu1a+fgjTeOAACam7txwQX1ePbZPZg2zQtFUbF6dR0OH26B3x8bQrdu3RxUVxfB6bRg/fr5OP/8+sR+xQOV+vrYfkybVoJPfnI1Nm8+AIsl9rjxoCouH1PdD3coVT7CrkIbqOJ4qAAp08An06Am2+cqm+Ft9fUVWLBgCp577j3oeuzzUFmZCzabOOhxj4fXkxBCCjkkaygcwyUqluLW1K4BN0jLjLjhBB8TYehcJuKv5Z6mPQjIAdhFO0JKKBHuhdTYtV0hZ50rNDp7TkCxqZFNiKIAVZUT4YIoCtA0EwNkEWm1twfwP//zLJ566l9pb7dYBKxZMw9LltRAkjhMm1aKoqLkD3OKoiSmmtd1HbfddhsUJdac+5xzzsENN9yA6667DjNnzgQAtLT0gONYWCyx+8SDJ4tFBMex0DQDuWBYBlEtjE5/FxRFh27o4FgOshaFzcbDSPP83L/9frQEWpKWfWPdN+CUnCnrujwiln2gAuU1NnS0RRAJqYiENUQjsT+6NowXoA+fLwifb+hhZhs37gHw56weIxMPP/xmyrK+IVT87xzHnv05+e+KoiWG1ahqbIah4aquLsLq1bOwatUsrFpVhylTigAAb7xxEK+8sh+KokNVtcQwREHgIQg8TDO39w4h41G2QcxAF9/XXrscBw40o6rKjc2bY5NIeL1O3HjjeVi2rBY+XxCzZ1dgz573IQg8Tp5sR2urHydO+HDDDeeCYaL49KfPx7vvvp+ovNm9+30AsTC8/4V9//0oKrLhYx9bibIyJyorPSnhQ76muk9XRTRQuJKPsKuQZFnDrl2n8Nprh5KahF9++aIhG2JnEvgMJ6gZ7nOV+pxXYuHCmoyOW5J4XHbZIpw86cMzz+wGx7GQZRXz5lWhtdUP4Eza8Gqsv56EENJ/SBaAvFTDZKrYXgwGDD4878MIa2HYBTt8IR+KbcVJ+zhawdh40ve1nFUyC8e7jqPEVgIr3ztSwy709sQq1KxzhUbB0wTEcYDfH0EgEIWmGTBNM/FNH2CisjJ92Xxfum7gD3/Yju997/kBp6RfvXomNmyYD6tVAMdxcLstKCtzg2VZNDY24q9//SueeuopKIqCHTt2AADcbje++MUvoqysDNdddx2mT0/tt2OaBhRFA8fFhmpomn52uAagKFru4QGnoa2zE4qhQjN1GIYBkzEAw0BbZyfm88kfaA+1H8Ijux5JPvZpq3HF7CvSb19nwDEsSkqs8HgsMDQDLB8LXWwWEUsXz8T0KdU4erQVR4+24dixNhw92oaWlvQXS+OBrhvQdQDQh1o1K5WV7kTItHr1LNTUFINJ02tK12N9YDweHZGIDsPQwbIcrFYONpsE08ytWo6Q8SjbIGagi+/qag9+85ttYFngwgvnQJZVeDw2WK08/v73Pbj22uV44YV30djYDVHkzgbBsd8N4bCM5ctrMWdOBV544b2kbRuGCYYBXnvtIAzDhKYZqKrywDTNpP3o6gpj06Z9+OpXL00bAqQbGhbf9quv7s962NRg4Uq+wq5CaWhowWuvHURVlefs0EYNp093YvbsoZ+H3uDHP+BzN5ygpv9zFZ9pb9euEwCQtP18VB6dOdOFtjY/rrxyCXTdgN0uYdOmffjXv06erbJL3d5Yfz0JIaTvkKy4kayGqSupw5KqJQP2XypUMDbew6x0+9/3tYw3/N52chuqXbEZe9fUroEv5Etso1CzzhUaBU8TkCxrMAz97FC73h5PqsrAbhegKIOHA++8cwp33vkX7N17Ju3t9fXl+NznLsSMGV4oip7oYdTV1YYnntiIbds2YefOHUn3aWpqQlVVFQDg+9///qCPb5qxgKmnJ3I2OAMYRgXPx6pphlOxlU4wGoQgMQh2hqGpOgzTBMsw4AUORW4rApHe6T0N08A3X/kmdLP3ORM5EXdffHfa4AMAXE4rBIEHoypgGRPgYj2kGI6BKAqonVqCCy+YjQsvnJ10P78/kgihYn9iwdSJE+05V3mNN6WlTqxaNetsVVMdpk/3Dvh892WzCeD5WHUTx3HQ9VgQG+txxufcH4yQ8SjbHj0DXXwfP+5De3sAkYiSNPy6vv4KdHdH8MIL78HrdaKurgxdXWE4HBY4nRbIspYYSgcgafiWYZiYM6cCW7ceRE9PFK+9dghFRTY4nRasWVOPadOKcepUZ7/9Sx8C9B8aFt/2s8/uTsyCmc2wqcHClbHejDz+WrIsA6fTAufZYl2fLzTIvTIPfoYT1PR9rvrOtHf6dBe2bDmUtP18VB61tvagqyuMrq4w6urK8eij2wHEKmGdzvTby/T1pD5QhJDR0h5MX/UyUtUwQ/VfKkQwNtpVXrkaaP/L7b2tWLqj3fBYPPjwvA+j2lUNgROwq3EXuqPdifXHa3N1OjtOQJFIrKk4z3OIRmVomgGeZyGKEjTNRCSipL1fZ2cI9933HB5/fEfa3kAOh4Q77rgU1123DI2Nfvj9Iei6CcPQ8fDDP8Of/vTrpPVXrVqVGEYXD50yYRjG2cqm2LDA+K6YpglF0ZL6QmUjIssIqWGINsCMMGDM2ExuohUIqWHISu/z89Tep7C7aXfS/W857xZMLx54ZrSK8mKUltghqyoUaDB1DgwHiAKP0hI7ykrTz8jnclmxdOk0LF2a3B9LVXW8/34HjhyJBVFvvNGAgweb0NkZnjCBFM+zcLksKC934SMfWYH/+I8LMwqa+nO7rbDbJaiqBlU1EqGoILCw2yW43dRcnEw+2TRlBga++HY6LdD12O/puKoqDxobu7Fly0EUFdlRXGzHnDmx7Xd1heF0WnDttfMSoVNDQwvKy924+eZVYFkOhmHg2Wd3w+t14rXX9iAaVXHqVAeqqjz4/e+349OfPh9FRdFEcBTbv/ShTv+hYQyDpNAJyG7Y1GDhygUX1Gf1HI+UbIOxTIOf4Wy/7/sxFJLh8wWwdu2cxBDAvtvPR+VR333r22g8OThL3l4m/2aoDxQhZDSVOtJXvRSiGmagKqPB+i8VIhgb7SqvXA20/zctvilpWXe0G93Rblwx9wrUldRhQcWCQZurj5cqMDozTkCapiMcVtDdHYYsK1AU/ewsdzpYloGuJ4cVhmHgT3/aiXvvfQ5dXem//fzwh5fjW9+6EuXlbrz33iH88Y+PY8mS81FSUg5VNVBbOwsMw2D58hW44Ybr8bGP/Ruqq6uz2v9YhRYLi0WAovSGB6IY6xOk67mVPOk6IOsyZEOGKcValZsAZAMQdBbq2eenM9yJ729Lrs6a5pmGW1bcMuj2PUUWTJtWgUhUQzioJYI/m4PHtGkV8BQN7xeBIHCYObMMM2eWAQDmzCnH88+/i0AggmhUha7HhpBwXCxcWb9+Pi64YHYiuOkb4PTNctIFOwzDYOfOw3juuffQ2RmELMcadDOMCUFgUVTkwIYN87FkyYyzoaNxdphd8t/jQzuT/x77ec+eE9i+/Sg6O8NQVR0WCwdJEmG1CqiqcqO+viSr0AkA7HYbamqKwPPM2cq/WLWfJPGorPTQrHYZuu+++/C3v/0Nhw4dgtVqxapVq/C9730Ps2fPHvR+Tz31FL71rW/h5MmTqKurw/e+9z1cdtllI7TXZCDZNGUGBr74nju3AmvW1CcNlbvyyiV47rl3E4/HsgwOHWrBpz+9GqbJoLzchdpaLw4ebMQbbxxFZ2coMava+vXzUFNTjK6uMGw2MSnU0nUDHMfi/fc7UFbmSqpYGizU6duf6dVX9yeFTnHDHTY1WLiS7XM8UrINHzMNfoaz/b7P1a5dJ3H6dFfivdB/+/2f8/iwvHA4ir170/dnGuzYbbbY+Tc+G2Jc/4Ask9eT+kDlhs4zhOSmrqQOa2esHXCoW75kW2VUiGBstKu8+htO4CNrMk51nUKlsxJ2MdYPK17FxLHcgK/lUM3Vx1MV2Nj4RETyimFi1UvNzd1JIVPvbHa9wc3evWdw111/wa5dp9Juq76+HPfeez3Kyxk88shDeOqpp7Br1y4AwKc+9QVcf/1nYBgmzjnnAjz++CuYNWs66uvL4XLZ024vE6YZa1ouyypYloFpMonAxGIRkGUmkSAJPBgmVoGkanriwkbgOTAMYBFjw7G+t+17iV8IcXevv3vIf8Q8z8HptMPjcYHnwtANAxzLwuG0wem0QxRy+2enqrGhlADONvTG2aoeHpLEwe2WBrxAyoTTaUdlpRuaZkKWlcTMcJIkoqbGg4qKIkyfnv1Jw27n0N0dxtGjbWcbi5sAGAgCB7fbBosl++dHknjU1JSA5wVEInIieLJaJVRWumC10lC7TPzjH//ArbfeinPPPReapuGuu+7CJZdcggMHDsBuT/9ve/v27fjoRz+K++67D1dccQUef/xxXHPNNXjnnXewYMHY/xZqIsukR086ksTj2muXo6amBI2NHdA0E/PmVWHGjHKcc04tWJZFJKKA51kYhonu7jBqaooTF/Tx39/r189LVIds3PgOjh2LTbu8du0cFBXZ8OqrB3DzzasBxHq09a1q5TgWDAOUlcUu/FeunDXsUCdfw+CGClfSNSMfK7INxjJ97oa7/fhzBTDYsuXQgNvv+5zHh+UtWFCNzZsPoqtr17Bnw/P5QvB4bNix4zhYNvZhYrCAbLDXk/pA5YbOM2Syy7VKZaihbvmSbZVRIYKxbMOsQlQEDSfwia/794N/x/Gu4wBifZs8Fg+6o90othVjRc2KrF7L8VQFRsHTBKQoGvz+MAzDgGEgMbMXwxjw+8OJ/knf//4L+P3v34CRZho3m03E5z9/AcLhd/GFL3wEu3f3DjdjWRaLF58Lr7caoVA8mGAhCE4Eg1GEwypcObS1EAQODMPAYpHOhizG2e3zYBgGPD/0NJ2DsVhFlDhdONrYiIgWhWkaYBgWVt6CquISWCURb595G3/Z95ek+102+zJcUHvBkNuPRGRoqgqv1waHXUwENxYrD01VEQpH4S0ecjMDEkUWHo8Vfn8Euh7vgWWCZXV4PNY+AWN2OI6FzSahuNgCTZPODttkwPMMbDYJPJ9b8sfzHFgWqKhwQlG0xPZFkT8bomX/+gqCgKIiB3ieRzTaGzxZLBKcTgs4jn7lZeKll15K+vmRRx5BWVkZdu3ahTVr1qS9z/33348PfehD+OpXvwoA+M53voNXXnkFP//5z/HQQw8VfJ9JerkMB5JlDS+88C7eeOMotm6NhQNerxOf+MQqXHfdObBYROzbdwaCwIHjWFRUuOF0WtDZGYQkCbDbpUSA0NDQgk2b9iMQiEJRNLAsi9deO4SPfORcdHWFoesG1q+fh127TuLii+fiuefeg9frgKJoiWFY11yzLKtKkmyrffob61VNQ4kHKfX1sSDyn/88PGQQOdxKpuEGb5mEefHn/MCBZjQ0tCRVR2VaYdQbdAGrVs3C2rWzc34Nx3pfr7GOzjNkMstXlcpQ1TDZ7Ff/gCbbKqNCBGPZhFmFqggaTuATX9cu2lFiK0FHuAPbTm7DdfOvw5KqJRlVNg1krFWBDWZ8fFoiwxKJKBBFHqLIQ5ZjF/YcF7uwFwQOf//7u3jkke3w+YIp9zWMKK66agW+/e1rUFxsQVnZTQgEAuA4DuvWrcMNN9yAJUtWobVVgarqZ2cKig2FYxgGgUB0wB5SmbJYBAgCf7biiU1sOzbci4ck5Va1IokCNFaF3SWAiwAmTDBgYLHGlrMCg2+98K2k+zhEB7657psZbV+OGNBMHRzLwmoTztbzxPpIaaYOJZrbUMFYIKdDkiTwfG9ww3E8VFWH1SrmtH1RjD3HHBebUTD+rTDHcZCk2GuTC5YF3G4bolEtMYyPO9t43e22geezD85sNh7hMAe32wqHQ0oM0+S42DBNm41+5WWjpyf2zX5x8cCJ6Ztvvonbb789admGDRvw9NNPF3LXyBByGQ7U0NCChobWROgExKosjx9vw6ZN+7FgQRUWLapGW1sQpaV2cByDP/7xrcSXBR/96ArU1noBAE1N3Whq6kYkoiASUQHEfteEQrGeO5WVHlx44RwsXToVbW0BrF5dh4aGVnAcC58vgOXLa7Pul5TPwGgsVzVlom8QWVRkg9frRHGxHatXz8LcudWQJD6lYfa11y5Pee6AWMV0rk21M3lt4s95a6sfR460pmxjuBVG+XoN8xVokhg6z5DJJF1osadpD6qcsZ64mVbl5LOSZ6CAZqAwJJMhc/kOxrIJswpVETScwCe+LsuwqHJWwS25IesyZpXMwhVzrsgpABvJXl+5oquwCcg0Y/144hgmFn20tQXwpz/txPHjvqT1VbUT0WgDDOMESkqs+OUvf5HosfOtb30LRUVFuOaaa+D1xi4gDh48g/Z2H0zTQN9he6bJgGVZKIqa0/6LIgeHQ4SmaYhGdZimDobhYLHElotibhVPBnTwFhZO3QqbRYIJAwxYcDwL3sLiyf1/wpGOI0n3ue3821DuKB9gi8k0XQfHcjBx9nk4mzyZiI3h1Y3BZxUcit0uwGaT0N0dgabFLgRNE2BZEzablHPwZLFw4Lj4sEYuMRRRklhwXOxiMRcMw6OoyI5IRIHFIvTp4cWhqMieU8UTz/NwuWLVYCybHGC5XFbwPP3KGy7DMPClL30Jq1evHnQoQ0tLC8rLk/+NlJeXo6WlJe36sixDlnsb/fr9/vzsMEmSy3Cg1taexPTzum6gstKN4mIHnnrqbfzrXydhsQhYvXoWLrlkARRFw549p7Fu3RwoigZJ4rF37xkcO9aKJUumgedjAZIgcPB6HfD5glAUDYLAJS7W+1alxMKP5rxVFo33wChf4kFkUZENpgk89dTbAGJh5LXXLsO11y7Hxo270lbI9X1t8tlUO9PXZqxVGI33CrixpFDnGYDONWRs6h9aeCwemDDxszd/Bq8tdr01VFVOMBrEc4efw4G2A4meQUuqlmRdyTNYQDMSvaQyNdwwq1AVQcMJfPquyzIsnJITTjgxu3R2zkP+RqrXVz7Q2XECivVH0s9WOxmQZRU7dpzA7t2nz84UZ0LTYmFTNHoEmtY7RbWi8Dh16hRqa2sBIFHO3Fd8KJdpGmernmJVLIKQfHu2DIOB1WpBNKrCNBnoOguOY2Gx8LBaLTCM3IZ6aYaGYo8TJmMgEg1D1QGBA6wWC0xRxqM7f5+0/vyy+fj4ko9nvH1J4sCzPAROhKrHehgxDAOB42PLcwzOeJ5FebkHuh6rbosHN1ariPJyD0Qx96F2VqsVDBMCxzHguNj+xh7DmhRqZsNmE8FxHMrKXIhENOi6Bo7jYbXy4DgONltuFW02mwhRZBEOa4lhlDYbT6FTlm699Vbs27cPr7/+el63e9999+Huu+/O6zZJqv5T14dCMmRZBcPEAoTBLpLLylyw2yU0NXUDABYvrsGrrx6A1SpAUTQ0Nnbh2LE2RCIqHA4Jx461oasrhNmzKyDLGsrKnDhxwoclS6aBZRmsXTsHW7cegiBwqKry4KKL5uDcc6dDkgQ0NLQkXbSPlaCof/XPeA8W4kGk1+tMhE5A7DhfffUAKivd2LjxHciymhgu2b9CLpsquvjz6PMFYBgmNM1AVZVnWM9nvMJo166T8HqdCIdlLFgwJVFVNxry/T6daO+3TBXqPAPQuYaMTf1DC6/di7/u/ytmFM1ILBusKkfWZPzx3T/i4V0PJ5atqV2DPU17sq7kGSygGYleUtkaquqrUBVBwwl8ChkOjVSvr3yY+GezSchiEc+GPyYOHWrGP/95BKFQ7/C3QGA7QqHeD5yCIOCSSy7B9ddfj6uvvhpFRUWDbt9utwAAFEWHYRhnw6xY1Y3VisSsMdliGBOKop4NQIQ+w6UYKIoKls1tqBrHsmBZQGaCUBgZMqPAZESwjIGnD/4FUT3auy9g8J0Pfgc8m/k/FYfTAl5gwcosJDa5+ogXWDiduT0/HCegvNwFQYg19tX12FA1q1VEcbEDLJtbxZNpxmaBKy11J2bN4zgGFosASeJhmrkFTw6HBSUlDpw65Tv7usYaxquqgaoqR+L9lYtY5RP9esvVF77wBTz33HPYtm0bpkwZfFhWRUUFWluTh8G0traioiL9sJM777wzaciE3+9HTU1N7jtNksQv1jdt2o+mpu7E1PXPPrsbjY1dg1apGIaBt98+kQiM4l9mFBfb0d3dOwOZrseG1n3wg/Ohqhr+/vd3z04cANTUlECWNXi9TjAMcMMN5yIcllFS4kB3dxi/+93rcDpj/+aHqpoZ6YvyfFf2jAXxIDIclpOWSxIPwzCxf39Tovk7EAuo5s+vwokT7Ynn3ecLAEBiqF44LMNmk9IO3wd6n8ddu07CNIGtWw/B63WiqsqDiy+eh+XLp6GtrbfxPYC0r3O82X1PTwQvvrgXksTj9Oku6Loxrl+TuIn4fstEIc8zAJ1ryNjUP4gIKSGU2EpgF5Mb6w9UlXOk4whePvJy0rJ4z6BsK3kGC2gGqzIqROPuTGXSv6lQoc9wAp9Ch0P5HtJYKBP3TDbJGYaOv/71HRw/3opAYAes1noIQuwXiihWIxx+BytWXIDPf/4zuPLKK+HxeDLetsXCw+EQEYnIUBQgPpZMFFk4HGLOH5B03UyauS7eHB2I/V/Tcu+R1OpvQVekE7KmwISJiMGgset97GndnbTuRxd/FIsrFw9r+5JgRXm5Gx1cEKqiJfZfEHmUeB0QeWtO++92W+BwWMCyLFRV792+wMFmE+Fy5RY8CQILm00EyzLQND0R/PE8B4tFQK6FQ1YrB6tVRGVlEaJRJbH/FosIq1WExZJbRRjJnWma+D//5/9g48aN2Lp1K6ZPnz7kfVauXInNmzfjS1/6UmLZK6+8gpUrV6ZdX5IkSNLY+zZmookPB6qqKsLmzfvPBgSx5sxDVan4fEGIIg+eZ3HTTR9AaakTR460QpJE+P2xgF4QOLhcFjz55E6sWDEDTz/9DtxuGwDA6bTgrbeOJaqZli+vTVxU22wStm8/hvnzq1BW5kI4LOPUqQ68+eZRaJqeEiyNxkV5Lv2xxqp4EHnqVEdimdfrhN0uIRSSU4aycxwDwzCSAsJzz52OadOK0dMTTaqa8nhsWLVqVsrrEX8e6+rKE+v7fAG43VY8+uh2nDnTmejdtG7dXNhsAp5//r3E/fu+zidP+vD22ydQXGxHKCSjszOIjRvfwaJFU7BkybT8Pll9jEToORHfb4MZifMMQOcaMjb1DyJgAo3+RrBM8pe7A1XltAfbIXGp7+uQGsq6kmcsNe7OVCb9mwoZ+gwn8Bkv4VAhUfA0Ab344l786EebEA4rADhEIocAGBCEUnAci8985gZ85Su/QkVFtiWGDOx2C1TVhKr2CVYEHna7JdEfKluxCiqc3Y6ZaG7NMLGqqr59pbKhGgoUyIiqUWiGBhMmNEPDa6c3J61XYivBVy74yrC3L/AcvEUu8CKLnq4gNM0Az7NwFzngsTsgCrkFK263HcXFTjBMEIZhJoIhlmVQVOSA251+GuJMSZIIl8sGlo1A183E68txDBwOKyyWXH9Rc/B47OA4FopiSQyHE0UOTqcVAAVPo+3WW2/F448/jmeeeQZOpzPRP8PtdsNqjQWnn/zkJ1FdXY377rsPAPDFL34RF154IX70ox/h8ssvxxNPPIF//etf+NWvfjVqx0FiYhfIJhobu1NuG6zXU3m5GyzLQFV1NDZ2IRyWce6503H0aG9FzGWXLcKrrx5AY2MXenrCUFUdfn8EU6cWg+c52O3S2ceYktQPp6MjiLY2PxiGwVNPvQ3TBKJRFcFgFNGoiq6ucFLgMBoX5f37Y8WHKu7adQIAsg4f8hViZLOdeBB5+HATrFYRb7xxBKZporMziAsvnI1AIJKocAOA2bMrsGfP6aThbDt2HMdlly3Cd7/7fGKZ1+vEjh3HsXbtnJTXI/489q+yCocV+HyBpOXPPrsby5YlB0h9X+empm4EAlG0t/vR2RkGx7FgGGD79qOJ5uj5NlKhZy792MYjOs+Qya5vECFrMpoCTRmHPqWO0qQZ0uLmlc7LupJnLDXuzlSm/Zso9BkbKHgaRYZhQFWNxAxAgsCmNEQejs7OEO6666949tneqh2GYeB0rgTLWjFjRimuu24Z1q+fm0PoFKtIcjqtYBgWkYicaD5ttUpwOCToufXOPhukxPZd6BfSMAzOhk/Z6wp1geUAUWJhqLEw6922dxBUk4cJ3LX2Lrgt6ZuZDobnObAMC10zYLWJiVntdM0Ay7CJnknZslpFVFV5YLGwCAZ7+xg5HDyKi105Nxd3OKwoLXVAEFgoipZ4f4oiD4/HBpstt6FwHMfA47FCFFnIcu/2JYmHzSbl3EOK5O7BBx8EAKxduzZp+e9+9zt86lOfAgC8//77Sb+vVq1ahccffxzf/OY3cdddd6Gurg5PP/30oI1iycjJpjFzfX0FLr98ERoaWhPDqRYsqMInP7kKO3ceR0dHCG63Dfv3N0EUeVitvZWSLMugoiIWXCU/RuwLBa/XgRkzSvG738V6uui6AUXRcOhQMzZsWIDTpztx6lQHDh9uxqJFNaNyUV5e7k6ETYqiIRCIoqsrjNOnu7Bly6EBw4fBAqF8hRi5bEeSeCxaNBXTp5ehosKN/fvPwGaT0NDQCrtdgtttSQyJdLttaGzsTnwBBAAsy0CWVcycWZboE2a3S2BZJu3rEX/v9R+Gr+tGynJZVlMCKiD2OtfXa/D5Amhp6Un0HRNFHhaLgI6OEBoaWrBw4ZS8VyeNVOg51pqnFxqdZwjpNdzQp66kDhfNvAhbjm1JzJC2oW4Drpid2wxp+W7cXehheONpRjdCwdOoUVUdPT0B+P3RxAc3l8sCt9uZErZk4pVX9uOrX30SbW2BlNtKShbjggvqUFdXCpfLknOT5fj+xWbL6xX/OdfggGVj4YzFwkLX9T4VNxxYlsm5oiqqRBFSQ2B5FiLDoT3cjr2+95LW+UDNB3D13Kuz2j7DGohoUdhsEnSN791/nkNEi4JhHTntP8uyKCqyQxRZRKO9wY3FwsNut+YUXgKAwxGreOI4DqqqwjBiVWeCEGs063DkOpQvNisfw7CwWJJfX6tVAMfRr6XRZmaQ7m7dujVl2Q033IAbbrihAHs0tmRzYTuaTYNlWYNpmli0aAreeONoIiToP/V7/32srfUiHFbxzjunEuepKVOKcdllNVi4sAYNDc3Ys+c07HYJHMeioaEF69bNPdtAnAfLMli3bi5M08Rrrx3Evn2N2LHjOFiWgWGYmDWrLHFRPWtWGZxOC3TdxB//+CaCwVj4YLWKmD27clQuymtrvZgzpwJ//vPbiSbrGzbMR1tbbFasdOHDUIFQvkKMfGzn5EkfNm3al/jZMEycOOHDunVzEkPfFiyYgn37GlPuO3VqCZxOC5zO5OXpXo++TcHj1VRerxMOh4R58+YkekYBgCQJaftElpe70NDQgp07j2PNmno88cROAICiaLjkknnw+QJobu6GaZrYtGlfyvs8l+qkkQo9489T//dO33+jEwmdZwhJNtxhW2OhofRgwc9IDMMbTzO6EQqeRoVhGGhu7kJzc98PMzLa20OorNQwZUpxxuGB3x/Bt7/9DJ54Ykfa22fM8OL88+tgswngeQ6macIwjJz2XxQ5KIqa6PEBAJpmwO+PQhC4rIKzvgSBgyTxkGUNbL+m3pLEp/SgGC6e46HqKiJaBJqh4R+n/gHD7H1OOJbDPevvyTrgiioqJJGHrGhgxX77L/KIKipEIdfwhoPLZYPVaiSG2uVaMRfH8/zZJuUMdF3s09ydhcdjzzm4tNl4hMMc7HYGum4kbZ9lYzPQETJWZVNpMppNg/s+ttttxfz51fB4rFi6dCrOO29mUiXO44+/hWef3Z2Y0Wzdujk4dqwtKWB47bWDOOecWixcOAULF9bANGPHsnXrIbS2xgKZO+64FCUlDsT7//32t9sSs6jFm0qzLIM9e97H+vXzcOJEB1577SDWrKnH88+/h+rqIggCB1XV8cYbR7Bhw4JRuSg/edKH9vYAbrjhXDAMg5aWbhw+3AKHw4KpU4vh9Trxr3+dBNA77G6oQChfIUZra0+a5t6BYW2n/76wLJOYaW7lylkoL3dhypTYZCP79p1JPMby5bU477wZaGzsyuj1iA/vW7p0Kny+EK66aikMw0BZmROHD7ck9XO66qqlsNmERPDVd7v//OdhdHWFsXTpVFxxxWIoSiwM7emJwjRNtLcHsGPH8UQfqfh7LdfqpJEKPfs+T62tAZSXuybNrHaEkMz1ryJaNXXVqM1gNljwMxLD8DIJ4ApddTWazdXHGzqbjYJAIIzm5h5omg5ZVhND1SRJQHNzD9xuC9zuoati/vnPBtx2258SJed9Wa0CLr54DqZPL4FhmOA4FoLAwzRN5JpNGIYBTTNgsQgpPYY0zcg52Ir3BYkFH8nBhNUq5jxUTRIkCKwARVfQ4GtAazB5hpQPz/swZpbMzHr7hmGAFziwHAtd05Mqnlg2D2MFz4oNTyvMsDSbTYQosgiHe4fy2Wx8zqETEJ9xzgq/P5ISlLlc1rw8BiGFkk2lyWg2DY4/dnzGsnh1SSSiorGxOxF+HTzYiEcf3Z5UfdLREcQHPzgfXV3hpG32DTdmz67E6tWzUFoaC0DKylzo6YngzTePIRSScexYG9aunQOOiwX58abSTmdskoSyMhcee+wtCAIPVTUgijza2wOoqHDD7bYN2CNqJC7KW1t70NUVRldXGHV15di2rQEAUFHhgWkCTz31NmbOLMNrrx1MBIlDBUv5CjHKylyJfYhbu3YOysqcg9yr/2Om7gvLMpg3ryoxZO3JJ3dg06b9CIVkyLKGSy9diGuvXQ6n04Jrr12OqqoinD7dgZISBzweW6KRfP/XRZJ4LFyYOpPY3LnVmDevKuk1BZCyTJL4xP6ePOkDx7HYseM4AGDmzDJcdNFc7Nx5HDZb75c6fd9ruVQnjWToGX+eJmJPJ0JI7ka7mXd/gwU/mfZfysc+DDbjXiGfr7H2eox1dIU3Cjo7w4hGZXR0hPvdEkFJiQ1dXZFBg6dwWMb//M9zeOSR19PevmLFdFx66UK0t3cjFFISza2tVh3V1UW5D1WL6meHSgGyrCeGYkkSB6tVgizrKeX3wyEILASBA8dJUNXUip5ch/JZeAucVie6Il14p/mdpNuKLEX4xJJP5LT9eJjCskxKxROA3in6xrhYQFSYXxGFDLYIKaRsKlbyOVRnuEP24o8dCslJoVI4LCeFX4cPtybdDsSHhEdSttk3JJEkHtdcsxwNDc1obQ2AYYDf/e71RB8gANi69RBuuWVt0jHEzxEMA1RWuqHrJqqrPbBaY19o2O1SSo+okb4o7xvM+HyBxDCx2toSPPPM7sRscEBvkDhUsJSvEMMwjJQhcPv2NQ7ri5+h9iUeWrIsk6h6e/vtE1i7dg7q6yuwceMubNq0H42NXWht9WPNmnqoqo7zz6/HTTd9IKNQcKDXNN2yvvtbVGTDDTeci5ISO1atmoWurjDefvsEvN7kDx/x91ou1UlUiUQIyYd8VMaMdjPvdAYKfsZC/6VCP19j8fUYy+isOQoiEeVs6GRC04xERQzPs+joCKOiQh3wvjt3HseXvvQnnDzpS7nN4ZBw993XYtGiyrP9DSwAFBhGbMia3S6ipyec0bj6wei6kdT8Ox4Mxf7E+kTkIlbJI5wd7pEcMkmSkPNwMo7jYBfs2Nm4ExE1khTEXTf/OtjF3GaFs1kkhOXooLeTwgZbhBRKNhUr+apyyWbIXvyx4yFQXLyPTjz8slpT768oGurryxM9jeKP1z8k6RsevPrq/kQjakkSEuu0tfUGN5LEwzBMzJlTAZ8vmBh23tDQivXr52Pr1kNwOi1p+1CNpPr6CqxbNxfPPrsbPl8AlZUefPWrlyaqt1RVh90eG37W1RVGa6sfF1xQP2iYk68Qw+cLoqrKA7fbmtTg2+cLJdYZKqQcal8GC0yBWNgWDEZx5kwXFEXDiy/uxZVXLsajj27H0qU1WLJkWtr7Z2uw/d2798zZ56X3fRa/Tz7eQ1SJRAjJRb4qY0aqiigfxkL/pUI/X+Pp9RgL6KpvFMT7LEWjKhRF7zNrGAeLRYCmpU4LF42q+MEPXsRDD21NGxytXj0LP/nJRzFlSjEOHDhzth9FD1TVPBtsKQgEIpg5sxyxWYWyJ4rc2f5LbMqwPVnWwPO5D/8SBA4MayIclWEaBhiWhc0igc9imN3zzz+PY8eOoaWlBS0tLThx+gQOnTyE9rZ2sBKLmjti5f9zvHMwv2x+zvvOczxcNjv84VDKbS6bHTw1zyZk3MqmYiVfVS7ZDNmLP/bGjb3VnWvX9jZ0jodftbWlSRfsALB6dR0+8IEZWLlyZsYhSd+QzW6X4PU64fMFEtPe33HHZSgrc4Lj2MQMrPHHPXSoGU6nJbFOZaVn1CtLbDYBy5ZNS/RRcjhEnD7dhWee6Z09du3aOSgqsqG83JVRsJSPEKO83J1UidS7PPZ6ZhpSDrYvgwWm8VAqGIzN+Bcny7GZ5w4fbsXcudV5b6g/0P4OVg01d241AGDv3jOj0tyfEELyVRkzFqqIMjUWGqAX+vkaT6/HWEBn3VFgs8WqeTo6gkntfhgG8HodKbOGvffeafzXfz2GhoZW9GexCPjmN6/Epz61OlEJJMsaQqFYxY15tml27HE4hEJRyHJqsDUcsQbffNKHzThR5PPyYU7VVci6DFYA4tNvR/UoJEgQOAGvvPJKUpjU2tqa+Lvdbse+fb0z9dx99914++230z6OIcaeH4EVcFn9ZbFeVUzuwZnNYoEo8AhHZcRL2mLBGf2TI2Q8y6ZiJV9VLtkM2Ys/9sKFU/Dmm0fR0RFKVOj0Db/692qy2STU15dj9uyqsxf7se3JsjboBXzfACDerPraa5dhwYIp8HodifVffXV/ondUPCgIh2WsXDkLGzYsHBOhQENDcuPruHfeOZUI1IDYUMKvfe2ypKqm/uHIYNVHmQ6f7LteWZkL69bNxWuvHUzcnm6YXF/D7SuWSWAar/6Ki++302nJS0P9TJ+bwf6NFaK5/2jOUkkIGX/yVRkTryLacmwLQkoIsi5jQ90G1Lpr87CX+Tecmfr6ylfD7kJXXY2Fqq7xhM6So4BlOYiiAEFgoapGorm4ILAQRQFALPhQVR333/8K7r//Feh6at+G5ctrcf/9N2HGjORUNRyWYRiA3W6BKOqIzywkCBwMAwiHBx4Gltn+sygqcqCnJ5TS/Nvttmfd/Hvr1q04fvw4mpub0djciNbW1tifllZYrVZsf3s7ZF0Gx3L45je/iZ07d6bdjs1mS+wTAKxfvx61tbWoqKiAu8SNJ449gaAQBOfkwDljQwXXTV8HkRNjs9vlp/d3rPLJTv/ECJlosqlYyVeVS/rlrkEvhCWJx9Kl0zBvXnWiF1P/8Kt/r6b+F+4NDS1oauqGzxfAzp3HE6FR/wv4TEO2vscSb+ANANOnl46ZC/h0QV84HGuy3X+YW2mpM6tZDQFkFIqk28blly/Cbbddgo6O0LCGyWX6HpQkPtFA/MyZDtTUlOC882ZAkvikSjqv1wGfL4i1a+fg8OEWrF07B5LEDTv46v8erq31YuPGXRkHRgP9G8t3c//RnKWSEDI+5asyRuIlXD3nanAMhwPtB2AX7DjWcQzPHHpmwjS0zmfD7kJXXY2Fqq7xhM6Qo8A0TVgsPCRJgmFEoGkAxwGSJMFi4QGYOHSoGf/1X4+lNA8FYkPdvvrVS3HLLevAcanVORwXm2EuFm71hkAMw4JlmZyHwsWmvBcgig6EwzoAAwALm40Dz/NJPZO2b9+OEydOJFUkxf9IkpRUifT1r38dO3bsSPuYVqsVuqGDYzmouooLL7wQlZWVqKioSPpTXl6Oiork4Sv33nsvAEA3dPz73/4dht2ADbbE7YvLF+OcqnNgESwwYMBgcpuVjxBCCmGgCpTaWm/Ow6oGur3vRXYgEE3MUldUZENXVzjtBXwmIdtIzhSWrb7hWFGRDV6vEy6XBe++G+sn1HeYW2WlZ8DtDBZ8xP+e7ra+z2m6bTz//HuYN68a69fPG3Tfk5dn3ldMlrWU4KexsSvxvopX0u3YcRyGYaC7O4xZs8pQX18OTUv/Dc5AwVe6MGfDhgXYtKm3ZxiQXWCUz+b+wOjOUkkIGZ/yWRlzsuckNh/bnLRsIjW0znfD7myrrsbK9icSCp5Gga6bME0DXV09CAY16LoGjuPhcCgoKbHg0Uffwm9+sw2KkjokbsGCavzsZx/DnDmVA27fbhfhdtvh94eg670hE8cxcLnsSdMNZ+Pdd99BQ8PR3oqks3/a2lrB8zzeeuvNxLpf/vKX8dZbb6XdjsViSapMWr16NYqLi1FaVoqS0hKUlJXAW+ZFWXkZysrKEFEjkHgJAivg+9///rD3+ydv/AT/PPnPpGWVzkqsm7kOqqlC13TYBBt0PbehiIQQUggDVRMV8kK477b7zlJ3ww3nJqqUsrmAHw8zhcXDsSNHWqDrJv7+9z2YPt2LWbPKsG9fI6qqPBk1QB+8SXdmAc1ww5Nsg72+VUcMw2DXrpNJt/d9Xw1WSdfQ0JJ2+wMFX+new/v2nUEoJMPptGR0zAPJV3P/3sfPb5BFCJn48lkZEx+257F44LV7EVJCsIt2dIY7873bo4Iadk9cY+cT3iRiGBqam3sQiWhQFBWGoUPXTTQ3R/DnP+/GmTNdKffhOBZf/OIH8cUvfjCpiikdr9cBj8cGjmMQjSqJoXwWiwin0wqv15Fyn3fffRenTp1KqUpqaWkBx3H45z97A5svfelLePPNN1O2AcSqtvpWPJ133nmw2WxJ1Uh9//T1ox/9CAAQUSPwy34ouoKwHIZqqhAYAaqhgtEZWPjkD6GZePHwi3hwx4NJyxyiAzfMuwFWzgqWYcFzPEzGTNp/QggZS9JVExXyQrjvtvvOUhcOy4m/Z3sBP9ZnCosPNfvzn3fiBz94ESzL4sCBZpgmsHbtbMyeXYl586qG1XA9eflgMyG6+v08vG1kE+z1rzry+QKYNas8Ud0W1/99le51HG7wle49bLNJkGUtqXn6YMc8kHxX1+U7yCKETA4SLyUqnOLhSjbhU6mjFB6LByZM/HX/XxPL3RY3VtSsGPfDvKhh98RFwdMoiEZltLcH0NUVPDvrnI5jxzqxb18jdD3128/6+nL87Gcfw6JFNRlt3+NxYebMEmze/BZaW5vR1dUBv78Tfn8XDCOE++8PgGUZbNmyJXGfz3/+89i+fXva7YmimFSZtGzZMnAch/LycpSWlqG8vBzl5RWorq5EVVVV0n3vv//+TJ+WJMFIEB1yR9KyHqUHJVIJXNLwPtw1+Bpwx0t3JC1jGRY3LrwRHqsHBgywYMGxHCRegm5QxRMhZPwo5IVwfNtFRTbU1ZVjypQimKaJsjIXGhu7x9zwuHw7edKHo0dbIYq9H5cOHWqGqupYtaouo4qyoYKPTEKRbMKT4QZ7/auOJElIqW4DMntfDTf4Svce9vkCuPTShXj77ROJZdm83/JVXRevBvP5Ajj33OnYseN4YhjgRP93QAjJXb56F9WV1GF59XL8+I0fJ5aV2Erw9pm3cX7t+eN+2Bc17J64KHgaBd3dMgAT4bAKvz+K995rRGdnOGU9hmFwyy1r8dWvXgqLJfZN89GjR3H69OmkiqR4/yTTNPHyyy9DEFgUF7vwhz/8CHv2/CvtPgiCkBQmLVy4EKqqplQkxf/0XffnP/95YZ6Ys1RdRVALpr0tqAWhGamz6Q3EH/XjlqdvQVhNfn6vm38dphdPh2EYMEwDLMMmZgW0Ctbsd54QQkZYIfsl1ddX4PLLF+GNN47iqafehmnGQqjp00vxla98CLNnV6Y0wZ5Is321tvbAZpNgmoCuGzAMAyzLIhpVMw72hgo+MglF8j00Md3r1L/qyG6X4PU6k6rbhvO+Gk7wle49vHx5La69djnWrp2d8zHnWl3XvxqsqMiGD31oIcrKnKis9Iz79zkhpPDy1btI4iV4bV7MKJoBWZchcRLsoh0sw06I4Wij1bA7XzPpkYHRWXIURKMqurpCOHmyEwcONEOWu6HrQeh6GIYRgmGEYbPpmD3bgx07GmCxXJW476c//Wm8/vrrabcrCAIMw4Cux0KrGTNmIRQKoqSkFCUlpSgtLcO0aVMwY8Y0TJlSlRQmPfTQQyNy7JkIKSFwLAcrE2sobsIEAwYcy4FhGATlIJySc8jtGKaB256/Dae6TyUtv6z+Mlwy4xK0RdrAMAxYhgVz9j8bZ6OhdoSQvCtkIFPIfkmSxGP27Ao88cROTJlSDEniYbdLePfd07jkkgVDzrw23mf7Ki93o63Nj5UrZ+Dll/cnlp9/fh1qa70Zb2ew4CPTUCTb8CTT2eIWLUqu3mJZBlVVHqxfPw+myRS0D9dg7+GxMByzfzVYV1cYmzbtw1e/eik1FCeEZCSX3kX9Q5FSRymckhNOJF8PZTocLd8hS763N9INu/M5kx4Z2Pj8JDiOmaaJd955H889tw+BQOxbxO7ul6EoybPXBYNAWxvA83ziG1YAqKurg8/nG3A2N9M0oSgKolEV3/3uT6BpRiJg4vlYVU95uRMOx9it6jHPNltlGAY8l/oWZZnMZuX72fafYeuJrUnLFpYvxB1r7sDxruPwwIOecE9itjy31Q2WZyFyuTVfJ4SQvkYikCnkBbrPF0yawS2uf6+f/hfnRUU2nDrVgaeffiejXkhjUX19BerrK/Dss7txxRWLoSga6usr4PeHcfKkLyV0GGsVX+nee+eeOx1Hj7YmrffqqwewZMnUlKqjSy6Zj/PPn53XYxjoORqtkCnd/gBIWubzBdLelxqKE0Iy1bd3kWEaCCkhyLoMmLHgY6CAI10osqFuA9bUrsG2k9sSyzIdjpbvkGUihDb5nkmPpDe+PgGOcwcPNuG///tpvP76kaTlHOcCxwXA8w5UVlZg2bI5WLx4dlKYFPfwww8P+TiybAAAWJaFKKaGNNGoDkdqf/ExQ+IkiKwIxVBSbhNZETw79Nv2laOv4H/f/N+kZcXWYvzi6l9AZEWIENEcbQbY2PNkwkR3tBtuwZ1xsEUIIZkYD9Ov9+1fYxgmZFmDJPFgWQYMw8AwzKRp7YHUXj99h2oVFdlgmsBTT72NKVOK4fU6xmX1kyTxWLCgGt3dYYTDMmw2CWfOdKKrK5wSOuQjYMx3cJXuvffii+9h5cpZSX2bAKCtLVDwmQbHWlVcuv25/PJFCIdVvPbawcSyc8+dntJkHaCG4oSQgfWvAqp112LtjLXYcmwLmgJN6Ah3YE3tGrxw+AU0BZoGDGrShSIvH3kZX1z9RSytXjrs4Wj5DlkmQmhDM+mNjPHz6W8UGIYBVe3t6SAIvX2AhqOjI4gf/vAlPProdhhGavNwj2cDpkzxYOHCKsyeXY7LL1+M+fOnZb3fQ40U4wafFG/UOS1O9MixqZyjajQx1M4iWMCxHJyWwYfZHes4hq+88JWkZRzD4edX/RxVriq0BdugQIHXGpuCNP762kU7FCgwTKOQh0cImWTG+vTr8YvvXbtOwjSB1147BIdDgqJoWL26Dm63BXPmVODgwWaEwwpkWcWlly5KGWrWt0G01+vEU0+9DQCJQGGshW2Z8nqdOHKkNWV5/9BhsICxvr5iyECpEKFMuveeJAlJfZv6Hk+hq45GI4QdLMxLtz8NDa14551TcDp7Z9DdseM4Lr10IV5+eV9iGTUUJ4QMJF4FtOXYlkRl04a6Dfi3hf+GKmcVXjvxGqy8Fe93v4+WYAtO95zGgvIFmFM6J2XI2mChyLoZ64a9b5mGLJkOn5sIoQ3NpDcyKHgagKrqkGU18bOuG1DV2Ac2QcgsuVFVHY888jp+/OOX0dMTSbuOx2PFnDkVKC62w2KJvxy5VdwIQqxkXZZTm3BLEg8uzfC1sUTkRLhEF5qDzdAMLTFUMKpFUemoHHQoXEAO4JZnbkFQSW5OfufaO7GiZgWAWPNyDhwiZgSS0PsLVDM1WGCBoqdWWhFCSLbG+vTr8YvvurpyPPXU29B1A01N3aiq8iRmNZNlFRddNBdHj7bCZpNw9GgrNm7clRSK9G0QHQ82vF4n7Pbe37NjJWwbjkybtw8UMDY3d2P37lNDBkqFCGXSvffsdgkLFkxBY2N30v6MRIgy0iHsUGFeuv0Jh2XIspY0tJRlGZSWOvHVr36oYNVghJCJ40jHkURlkz/qh8iJePzdx1FkLUKRpQiNPY2Jqqe4N0+9iSO+I3j5yMuJZWtnrB2waijbUCSTkGU4w+cmQmiT6Ux61IA8N3TGTMMwDMiyCk3TEI1q0DQDPM8mgiGOYwatfDJNE5s3H8Dddz+LY8fa0q7jdFowf34VysvtMM3YhxpRFGCxSIhEUr+JHA6bjUc4zIFlmbQ9nmy2sf2yG6YBjuPgsXoQUSIwdAMsx8IqWsFxXGIWunT3+8qLX8HxzuNJy6+Zdw0+texTiZ9NmOA5HqIuQlbkxPYkUQLP8TTUjhCSV4WcdS4f4hff8bDIMGJVn7puJJbbbBL++tdd8Hp7x2n3D0X6Nog+ccKHQ4daYLdLSUP0xkrYNhyZNm8fKGDkODajQCn+OhiGiVBIhiyrkCQBzc3dWQdP6d57l1wyH1ddtRSLFk0Z8RBlpEPYocK8dPtjs0lpn4vKSg8WLpwy7oJTQsjIaw+2I6SE4I/6AQDNgWYAwLYT27CiZgWCSjApdAJiFUJRPYpZJbMQUkKwi3bsadqDxZWLU0KRDXUboBs6Xjv22rADkExCluEMn8s0tBnLMplJbyL0shptYzuBGCWqaiAcVhAIRBPLZBkIhRQ4nZazFUXpw4mGhhZ8+9vPYOvWQ2lvt1gEXHHFIhQVWWCaOlSVgWEALAsIggm/PwxF0XPaf57n4XJZ4fdHUno8uVxW8PzYftllTYaiKxA5EaI1ubpJ0RXImgyrkNoc/YG3HsCrR19NWja/bD7+54P/kzRTHcdwYBkWsiZDgwYTJgwYgAY4pDHc/IoQMi7lc9a5QjSvjl9822yxD07xL1Y4jk0sD4fltI/Tv1IlPlSrvr4S3d3hMRu2DVcmQ9AGChj798aK6//clZe7YRgmFEVDdbUn0WfL748k/p7Nfo+l2eJGOoQdqsIq3f7U15djypTipB5P4/m9SwgZeaWOUsi6DJETE6ETAIi8iH+c+AfOqT4HJ7pOJJavqV2DU92nML14Op45+EzS8s5wZ0oosrtxN37+5s8T6w0nAMkkZBnO8LlMtjceDDWT3kToZTXaxnYCMUoUJRY6hcNhdHSEE986lpTYAAA2m5DyAbCrK4Qf/ehl/P73byS+Je7v2muX4a67rsDx4634xz8OIhjUYZ7tJ2QYgKIwEEUkNRPPls0mQhRZhMMaTNMAw8QqncZ66AQgMdTNMA1oeu9Qu3g1kqqrKcHTa8dew/1v3J+0rMhahF9c/YuUdSVeQkgOJWbPizNhIiSHYBEsIISQfMrHhX6hGjPHL7537TqJtWvn4LXXDqGqygNF0bB27Rz4fAGcd94MnD7dlXLfgSpV8hm2jRcDHXNDQ0va9fs/d/X1FVi7djb++c8j+Pvf3wUAeL0OWCwC6usrsGhRTdb7lY/3Xj4Cz5F+XwxVYTXQ/gDAOedMmzTvXUJIftWV1GFD3QY8/u7jiWVrpq/BEd8ROEQHFlUsgm7oCGth2AU7fCEfOiIdcIadKLOXoc5bB0VToJs6YCaHIvta9yXNZgcMPwAZKmQZ7vC5obY3EUyEXlajjc6iaciygba2Hhw92gpZ1hLNp0+f5jFrVjncbltiVjhN0/GHP2zHj370UspsJ3FLlkzFPfdci3POqQUANDV1wm6XIMsadD02nIHjWHBcrPeCxZKfhDhW+TT+XmLGZKDqaqwiSddgwAALFjzHQ+Il2Hhb0vonuk7gthduSwqSWIbF/Vfcjynu1OEJuqHDKljRLXfDNM1EsKWZGoqtxdD01N5YhBAy2grVmLnvxbfPF8JVVy2FqmoQRQ4sy8HrdaC21gtdN4ZVqTJaVTWjKd0xZ1rlI0k8ysvdaGhoQXm5CxzHQlE0bNq0H2vWzM46eMpVvgPPkXxfZPLcD7Q/k+29SwjJH4mX8PHFH0eRpQjbTm6DyIs44jsC3dRhF+2odlfDF/YlD9uqXQsDBlySC76QD/tb96Mz0olp7mlYMXVFooJosAAkXz2IJsLwuXybCL2sRtv4SyVGQCQSwuHDzejpCSES0aBpGnieh9XK4/BhAzU1bgAObN16CN/+9tNoaEid7QaIfaN2111X4Lrrlif1hHI4JJSWuqEoOhTFAGACYCCKLEpL3bDbhRE5zrGK4ziElTAiWgSy2qcHkyBBN3QUWYsS6waVIP6/p/8/BORA0jbuWHMHVk9bnXb7qq4CDOCW3IgqfWbNEy0AEwumCCFkrClkY+b4xfdgRqOCqRBDC0facKp8wmEFoVBqn8dIRE1ZNlJGYya6fJmMlXeEkLFB4AXUe+vRFmqDL+xDjbsGiq7gopkXoa6kDnUldYnhacXWYuxu2o1H3nkEzYFmmDCxpnYNWvwteOv0W1hftz5RUTRQAFJsLc5bD6KJMnwunyiMyx2dedNoawuiuzuEU6c6oCgadN0ExzEQRR7TpgG7dr2Pu+56JuWDWJwk8bjllnX4whcuTprNJ87jscLhsKCqqgSyrAAwALCQJBEOhwSPJ7V/0WQjazI6Q52IqlFo0MCDh0WwwGvvnb7bNE187cWv4UjHkaT7Xj77cnz2nM8OuG0DBmDGAi671Z58oxmb3Y4QQsaa0Z4dr39liCxr2Lv3TMFCoUINLRwNmVb5zJ5dDq/XCZ+v98sUr9eJ2bPLh3yMQoV0Iz0TXb5Nxso7Qkjucqke6tuI2jANhJQQVk5diYtnXZy0nb7D5/558p8QORGVjkrML58PRVfwodkfwonOE0nDuQYKQDiWy2sPoskwfG44KIzL3fj65DZCenpkNDV1o6srDE3rrUgyTRPvvnsGR460QdfT92G68sol+Na3rsSUKcUDbt9qtWLatBKcPt0JVeWgaSZ4noEgCKipKYbFMrmDJ1mTEVJDiaFwAKBCRdSIwipaoWgK7KIdv9z5S7x05KWk+872zsZ3N3w3qZl4fxzDgeVYWBgLVF1NVFQJnACGZcAz9M+CTG7btm3DD37wA+zatQvNzc3YuHEjrrnmmgHX37p1K9atW5eyvLm5GRUV1JA3H2JDs3WsWDEDnZ0hnDzpQ3NzNy69dBFqa71Db6AA+1PoUKihoQWbNu1PmuFt06b946LSJltz51bjE59YhWef3Z1oKH7VVUsxd271oPcr5Osx2oEnmZjoPEPGslxnMOvbiJplWDglJ/a17sPFsy5Oe//2YDtYhsXM4plQDRWvHHsFDBgcaj+Ec6rPgaIpeLf5XXAsh/ZgeyJM6ox0JgKQ7ae2p90X6kEUk49hiBTG5YausNMIh6OIRFSwLAOeZ6HrJpqaunH0aDtUNf0wrIULp+Cee67BihUzh9y+ILDweOzQdQPBoJxo/h2rdrJDFLl8H9K44o/60R3thoW3xHownR0KxzAMuqPd6In2YG/rXvzwnz9Mup9LcuHBax6ETbQNsOUYK2+FjbOhQz07jSkD6NCh6zpKhJK0M+YRMpmEQiEsXrwYn/nMZ/DhD3844/sdPnwYLlfvxWhZWVkhdm/S6Rsq6LqBlpYenHNOLRYsqMbRo63YuHFXTgFDNpUyIzH8qqmpG01N3SnVP83N3RM2eJIkHjfd9IFhN7Yu5Osx0jPRkcmBzjPjX776CY30tjPRfwYzj8WDMz1n8PdDf8ec0jlD7s9wG1HHh89N9UzFn979E1j0tmjZeWYnpnmm4afbf4r5ZfPBIHY91D8Iox5EA8s1SCT5QcFTWiZiLZlMtLcH0NDQhlBISbtmaakTX//65fjIR85NTD09FJZlIQjc2SbllkRza46LLR+sWmcykNWz/S2M2C+KxFA73gJwwKmuU7jtxeRm4gwY/PSKn2KaZ9qQ2xd4ASIvwmPxQFGVRLAlCiJEXgTP0T8LMrldeumluPTSS4d9v7KyMng8nvzv0CTXN1QIhxW0twfw4ot7ccMN56KrK5xTwJBtpcxIDL/ieTYpdAIAny+Q8bk2U/kcopaPbWUzNKzQ/b+oTxLJNzrPjG+FvJAfCyFB3+DIY/HAhIm/7v8rql3V8Nq8Q+5PPASKD7OTdRkSJ6HYmn5ETHz43OH2w7DwFvAcD4/FA5ZhEVEjaA22oiPcgW0nt+G6+dehO9qdMoyOehANrH+QCOQ2DJFkhz41pGG1iujpCeOtt07B749CUVpgGCGwrBUsawHLWiFJdvzHf6zFf/3XB+F0Wob9GDzPwW6XoOtGUvDUtwn5WKcZGiJKBLqpg2M4WEUreDb3txTP8TANE+3hduiG3vv8sBxckgs/2vEj9ESTP2R/+YIv48LpF2a0fZZhYRNt4FgOGtfbzyk+ax7LjJ/XgJCxZMmSJZBlGQsWLMC3v/1trF6dvsE/GZ6+oYIs9zaZDoflPutkFzBkWykzEsOvWJbB2rVzsHXrocSytWvn5PU8mc8haqPZk6rQrwf1SSJjBZ1nxoZCXsiPhZCgb/WQ1+7FX/f/FQAgcVLK/qSrzqorqcOa2jV4/L3H0RGOjbBYU7sGR3xHMKd0TkpgFe8ftP3Uduxt3QuJk6DoCs74zwAARF5MrBtSQ4m/962goh5EAxtuBRopDAqe+jlypBUPPPAa3nrrRGJZOPwuIpGDSeuxLIuf/OT3+NOfKrB3795EldJjjz2GpqYmeL3epD8lJSXweDyJD8ySxCMUks82LzfAcSwkSYDVyo+LiqewEkZASf4mOqyF4RSdQw51G4okSAgpIWhGbEZB1VQhMAIMzsAf9vwBx7uOJ63/oboP4Zbzbsl4+wwY2EV7LHjStUTFE8/FqqooeCJkeCorK/HQQw/hnHPOgSzL+M1vfoO1a9dix44dWLZsWdr7yLIMWe4NTvx+/0jt7rjTN1SQpN5ZT202qc862QUM2VbKjMTwK6/XCYYBbrjhXITDMmw2CT5fAF6vI2+Pkc8haqM5+xsNhyMTXTbnGYDONYVSyAv5sRAS9K0eCimxoKfEVgK72DspUXuofdDqrKXVS9Hob0RYC8Mu2OEL+fDykZcxp2xO2gBN4iWsmrYKTYEmbD2+NTFj95raNWgLtiXWswu9+9B/GB31IEqPhiGODRQ8nXXmTBd+/OOX8ec/74RhJDcO5zgXBKEcphkFwyhQ1QgMw0BHRwc4Lnlo3G9+8xts3bo17WNIkoRIJAKWZaGqOn72s5/gxInj8HiKUFxcjOJiL6qrKzB1ahWqqiowc+bMMRlCaYaGgBKAYRrQdA0GDLBgwXM8AkogNlwth8onhmHAgEFQCcI0Yj2eNGjYfWY33m15N2ndupI6fO/S7w3reWIYBgInJIKnOJ7jKXQiJAuzZ8/G7NmzEz+vWrUKx44dw09+8hM8+uijae9z33334e677x6pXRzX+oYKdrsEr9eJBQuqE8PQhhMw9B8KNlCIM1SQNRLDr+rrK7B8eW1Bw5R8DVGTZQ0HDjTB5wtAkgTY7RJYlslqW9mg4XBkosvmPAPQuaZQCnkhX6htD6dvVN/qoVNdp9Dga4BdtCddJ5TaSwetzmoPtuNY57GUbQ8WoPV93BZ/C3xhH3Y17oKiKyixlWB+2Xz4Qj4ANIxuOGgY4tgw6T+RdHQE8b//+yoeeeR1KEr6xuHFxeejpuYKVFa64HJZcOml83D++bPg8/kQDoeT1r3sssswZcoU+Hw+dHR0wOfzwefzIRAIwOPxxEIVxkAgEMU//rEFO3emn4GA53koSm9fqdtuuw3vvPNOSiVV/M+GDRtGbJheRIlA1VUoeu/+6dChGipETkREicBpcWa9fVmRwbEcLJwFihnrwXS65zReP/V60noO0YEHr34QDnF4334LnADVUMEybFLpat/bCSG5Oe+88/D6668PePudd96J22+/PfGz3+9HTU3NSOzauNM/VPB67WBZBm1twZSAYbAeQ/GhYLt2nYTX60Q4LGPx4qn40IcW4qWX9iYeb6hwp/9jXHBBfUECjpEIU/IxRC3+vJ461YEzZ7oAxKq1qqo8YFlmxGZ/o+Fw6eWzhxcZW4Y6zwB0rimUQl7IF2Lb2fSNilcP1ZXUJXoq9d+fwWaSGyxAGywEiz9ufBjfgooFaA+1o9haHJvVjobRDRsNQxwbJu2ZNxCI4pe/3Ipf/nIrQiE57To8z6KmxoOyMicsFu5sdRMHjrOgoqIi7fStX/3qV9NuS5Zl9PTEvlmNRg1IEo+PfexmrFp1Abq7O9HZ2Ymurk50d3eip6cLgiAkVfG888472LZtW9ptC4KQVEZ84403Ytu2bQOGVLfeeit4PvbSd3R0QBRFOByOjKuGVCM5dOpL0RXoZvoAL1MRLQKwQLG9GIqqoCPcgRePvpjUTBwAfnL5TzC9ePqwt88yLCROgqynvu4SRz2eCMmHPXv2oLKycsDbJUmCJNEJP1OSxKO+vhIAM2DgM1SPoYaGFuzadRKmCTz11NsAgOeffw+f+9yF+MpXNqQNsvob6T5GhQ5T8jFELT7ErqjIluhJ5fMF4HZbce21y2i4W4EMFSjJsobDh5uxadM+vPHG0UQV2kj13SKFN9R5BqBzTaEU8kK+ENvOpW/UYPszWLg0UIBW667NOASjoXP5Q8/l6Jt0Z91oVMXvf/8GfvazV9HVFUq7jijyqKvzwmKRABhQVQOaZoDngfJyCW53apXMUCRJSkz5qus6eJ7D9dffkLa5uNUqwO1O7pP0/e9/H6dOnUpUUMX/dHR0JO4f19zcjJaWFrS0tKTshyAI+K//+q/Ez5/73OewceNGiKKYti/V/fffD0GIVQAdOHAA0WgUrJUF7+BhsVqSmn/zXKw/lW7kFjxxLAdTN6EZGhRdwZP7nkRYTa4s+9KqL+GimRdl/RjxoXaqriYto9CJECAYDOLo0aOJn0+cOIE9e/aguLgYU6dOxZ133onGxkb84Q9/AAD89Kc/xfTp0zF//nxEo1H85je/wZYtW7Bp06bROoQJJ5PAZ6geQ62tPfB6nYnQKe7FF/di7do5WL9+3pD70f8xiopsOHWqA08//Q7mzasad9Uk+aiqig/X6+oKo6jIluhJtXLlLGzYsHBcPR/jxVD/HvpWocXf7/EqtJHqu0UGR+eZ8a+QF/L53naufaMG2p/+4ZLH4sHy6uVo8ceuwa6ec3VKYDUWmqcTMhrG9achRVHg9ytQVQ2CwMPlEiGK6UMhTdPx5JNv48c/fhnNzd1p1xEEDh//+EpccMEMbN16CI2N3dB1E6YJMAzAcQwEITYbXS44jgOggWXTz2LHpAk/VqxYgRUrVmS0/SeffBKtra0pAZXP54OqqkkhVbwKS1EUNDU1oampKXGbKIp44IEHEj9/4xvfwNNPP534WbJIcBe54S5yw1PswQOPPgC33Q2LYMGWLVvQ2tqaEmTZbEM3HrcLdlgEC/xBPzYe3IjmYHPS7aunrsatK2/N6LkYDMuwVGJJSBr/+te/sG7dusTP8WEKN998Mx555BE0Nzfj/fffT9yuKAq+/OUvo7GxETabDYsWLcKrr76atA2Sm75VNfFhcqdOdeDw4WYsWhQbNjJUv6Lycjd03UjMqMpxLBRFgyTxGfch6vsYRUW2RPXUlCnF8Hod47KaJNeqqr7D9bq6wujqin1RMn166bh6HsaToULW+O3V1Z7E7fEqNKfTMiJ9t8jg6DxDRlLfyiSPxQOv3RtrGm7GhuFlez3QtxqqM9yJA20H8MrRVxJfZMcrmfoGSu3B9qR9sIuxxuM0wxqZ6MbtJ6KenghOn25DZ2cUqqpCEAQUF1tQU1MGt9uaWM8wDDz//Hv43vdewPHj6f9BMwyD669fji9/+UOYOrUEu3efRFmZC6qqIxrVYRgmWJaBxcKhrMyVc8muzcYnTYOd7vZcVFZWDll6HLd582aEw+G0IVUkEkkKqTweD6qrq9He3g5FUSBHZbQ1t6GtuQ2CKCCoB+E23GAZFj/72c/wzDPPpDye1WqF1+vF4cOHYbXGXqfHH38cR44cSQRUvJ3H8chxvNn+Jt7reQ+s0BvEldnLcPf6u6kyiZACWrt2LUzTHPD2Rx55JOnnO+64A3fccUeB92riyqQHTWtrT1LQE2e1ipg9uxKSxA/Zr6i21ouyMieamroTt1VVeWCziRn3Ier7GH2rp+L7OxmrSWhGuZE3VMgav73vzI8AoCgaAoEowuEo9u49M+4q9CYSOs+QQurfQ6nWXYu1M9ZiT9MemDDx1/1/RYmtBI3+RjQFmgbt9TSUeDXUvtZ92NW4C8XW4kSodKbnDI50HEkKnkodpYl9iFtTu4ZmWCMT3rg82yqKgoMHm3DiRCsCgShUVYcgcHA6LQgGNSxbVgNBEPCPfxzGffc9j717zwy4rQ99aCG+9rVLMXt2b1DD80BNTQl4nkUkosM0NTAMD6uVQ2VlEXiey2n/eZ6Hy2WF3x9Juc3lsib6L40Um82GqVOnYurUqYOu97vf/Q4A4I/6sf/0fpxpOYOm5iZ0dXVBDasQWAERPQLN0LBo0SL4/f6kQEtVVUQiEbS1tcFisSS2++STT+LZZ58d8HFr/18tWJGFyIn48gVfhtuS/uKKEELGm0x7JsVmoEseJlde7kJPTzgxzK221jtoAHLypA8HDzbjiisWYfPmg2BZFsGgjA98YGZinaFCsL4hS/wLFK/XmVQJPNmqSWhGuZE3VMgav93nCyT6bgkCh0AgiiVLpmLz5oPo6to1Liv0CCGDG6iR+NVzrkaVswo/e/NnmFE0IzFLXbbD3PqHWy3+FngsnpRQycJbknpU6YaO/W37k7a1v21/zq1KCBnrxuWZtq2tGwcPNuHUqRYEg0qiIsnhEBGN6ujs7MFvf7sdb76ZOoVl3OrVs3DnnVdg2bJpKbdZrRIcDiumThUQDiswDB0sy8FmEyFJPKzW3J82m02EKLIIhzWYpgGGYWGz8SMeOmUjqkYBCeCLeUzxTEG1WQ2GYdAebgfHcYiqUdxzzz1J9zFNE4FAAD6fDz09PUmVVJdffjncJW7sOrYLJxtPQg2qMEIG9LAOhmXACLF1b1xwI0ptpQM2NieEkLEi05m0hhoyFFdfX4HiYnvi5/JyF6ZP9+L559/Dzp0nwHEMLr10ET7+8ZUDBiCtrT3o6YmgqMiGj31sJcJhGTabhAULpiT1xRksBOsbspw44cOhQy2Jps19922yoRnlRtZQVWZ9b4/33SopcaCjIwifL5AYDjkZK/QImegG66EEAF6bN+U+8WFug80211e6cOvimRej2FaMjQc2Jq375vtv4uJZFyeCrc5wJ6qcVXBLbsi6DImTYBft6Ix05nLYhIx5Yz/lSOPUqW4cOdKIjo4gFMWEYRhgWRaNjV148cUDOH26e8D7Ll5cg69//XKsWVM/4CxupaVONDXFyrT7XyjY7RK8XmdejiNW+TT+XoKwGkZ3uBumaUI3dZgwwZgMGJNBd7gbYUc45T4Mw8DlcsHlSr4gaQ40o2lmE94OvQ1lnoIK9A5NME0TpmyCZVism74OtZ5adEW6oGgUPBFCxoZ0AROAjGd+G2rIUJwk8Vi9ehZeffUAZFnD8uXT8Pzz74FhgNOnO8HzLH7963+guNiO668/FwsXpk4XHq8C6duHCACuuWYZgMxDsHjIUl9fie7uMA0xIyNuqCqzdLc3NXXjrbdSv5CcbBV6hEx0gzUSH2wWuoEqpdINw0sXbu1q3IWpnuTRIyW2EthFe1L/plJHKViGhVNywonea0oaakcmuvGXegDo6OiBzxdEa2sQsqxCllW0tgbR3Z06dC1u1qwyfO1rl+GyyxYNGDjFOZ021NaW4vTpDqhq76xtgsChpqYETufQDbInMlmVEdWjiKpRKLqSCP5ETgTDMLGKqCE0+Zvw0I6H8NS+pwasYGIZFrOnzMay6mUoshShK9oFlmERVYbePiGEFNpAFUJLlkzNKMABhh4y1NfcudW49tplePXVA9A0HZLEw+cLwmIREuvs23cGixbVpK3gGKpKJNMQLI6GmJHRNFSVWaZVaJOxQo+QiWywcKn/LHRALFwa7mxz6cKt7mg31pWsw4yiGUmVTCzDJoVKg+0DIRPZuPx0GI1q6OiIIBgMobU19s3tQP0Jq6uL8OUvb8D115+TcW8mlmVRWemBzcahu1tOBCsejwS325l2JrpJhQGichS+sA+6ocMwDbAMC47lUGqWDvr8nOk5g1/s+AX+tu9vUA017Tocw2F+2XwsLF8Il+SCiVhVG8MwiGpRyOrAjdkJIWSkDFQh5PFY066fLsDJtDF1vLKqvNyNm29ehXBYxdtvn0QwKKPvdyk2m5R1UDScEKzvNifDELNMh05OdOP5eaAm8IRMDoMFO31noWsPtSfCKImXBq2U6m+gcGuqZyqunHvloKHSYPtAyEQ2Pj4t9KPrBiIRBUeOdELTDITD+xGNHgXLWsAwEljWAqfTjcsuOwdXXbUMV1xxbiIMiVcvDUUQOBQXu+B0Gn0qnthxFToZpgFVV3v3nxPyNhucZmowDAOqoUI3dHAsBwYMNFNLO0vJqe5TePCtB7HxwEZohpZ2mwIr4PqF12P1lNU43X0aUT0KzdASwRbP8oCJAe9PCCEjaaAKoUgk/e+odAFOJlVD6SqrLr98Ea6+eil+/et/JJatXTsHPl8g66BooAvz2lov9u49My7DhnzItAH8RDfenweq0CNkchgq2InPQtffYJVS/aULtzbUbYBu6Khx1eCmxTdBN3RUuCrShkoD7QMhE9m4O9t2d4fxpz+9jT17emeqU9V2yPKJpPWCQeC3v30ZjzzCQVV7K2tuuOEGbNq0CcXFxSguLkZRUVHi78XFxbjnnnsgCLFhCw0NDYhGo4nbRNGO8ULVVch6n8ogE1ANFRInQeCEge+YIU3XoOkaZF2OBUMGC5ZjoenJF1wnuk7gF2/9As8ceAa6mX62BpET8ZGFH8F/nvefqHJV4b0z76Ej3AE5IoNFLChjwYIBA5toy8v+E0JIrgaqEJo9uxyynHllxVBVQ+kqq55//j18+cuXoKjIjv37z8Bmk+DzBbB8eW3WFRzpLsxra73YuHHXuA0b8iHT3lcT3UR4HiZLhR4hk102wc5whsClC7d2N+7Gz9/8edJ9L5h+wbirZMq0wTohwzWuPjW+/PI+fP3rT6G11Z+03GqdA0HwQhQ1uN0Mpk1zoqhIRFdXV2KIVlxHRwcCgQACgQBOnTqVtB2O43Dvvfcmfv7GN76Bv/3tb4mfeZ5PCqw2b94MqzU2pOLZZ5/FyZMnE0FW3/8XFRVBFMVCPCVpGaaRHDr1IesyOJbLqfJJ0RTomo6oHoVq9FZUMWCgazoUTcGxjmP4xY5f4NmDz8IwjbTbETkR/7bo3/Cf5/0nKpy9F0pOmxOSIEHSJeh6n6F8HAdJkGC3jp8AkBAycQ1UITR3bjXmzq3OW2XFQJVV7e0h3HDDuVi8eEreKjj6X5jv3Xtm3IcNuRpu76uJip4HQkhfEy2gGO4QuL7h1r7Wfdh2clvS7QP1hxrLhtNgnZDhGhfBU0dHEN/61kY8/fQ7aW/3eKaiqmoBeN6E3W7Hxz72Afzbv61Mu+7f/vY3+Hw+dHZ2orOzE11dXYm/y7KcFFI5nU5UVFSgs7MTiqJA0zS0tbWhra0NHMfBYrEk1v3973+fFFL15/f74XTGZi740Y9+hO3bt6dUXcX/f8EFF+QUVKl6+t5JfW/P5ZeHpmnQTC02tE7ToOt6LBQSJbSEWvD917+P7e9vh4n0jbcsvAU3Lb4Jnzv3cyhzlKXc7pAccIkuKLoClVETwZPAC3CJLjgkR9b7Tggh+TLU0J18VVYM1nup0BUcFDZk1/tqIqLngRASN1EDimyHwKXrD2WYBg63Hx5XwdxwGqwTMlxjPnj6+9/34K67/oqOjmDKbSzLoKLCBbdbBMvyEEUOlZUu2GwDhzbxCqRMPPLIIwBifaEikUhSWBUIBJJCqvPPPx88zycFWV1dXeju7gbP83A4esOSN954Axs3bhzwcf1+fyJ4uuWWW/DXv/41bUBVVFSEO+64I7HtkydPIhKJwOqwwulxQpIK88vNgIGgGkRHqAM6dMAE/BE/jnYeRVOwacD7WXkrPrbkY/jcuZ+D1+4dcD2BEVDuKIdiKIgysaoqgRVgES0od5RDZEeueowQQgYzEkN3RrMpMoUN1JQ6jp4HQkgcBRTJ+veHMkwDTYEmHO04iqMdRwGMj2BuOA3WCRmuMRs8tbcHcNddf8Hzz7+X9vaqKjdmzSo52+zbBMBAFDkUFVlRWprfihiGYWCz2WCz2TBlSvqhBbfddlva5bquo6enJymk+sIXvoD169enVFx1dXWhp6cnKaRqa2uDz+eDz+dLu/077rgj8ffvfOc7ePjhhxM/2+12uNwuuIvc8Hg8ePRPj6KiPPYBccuWLThy5EjaMMvlcg3aRF2HjrAShgkT3XI3jnQcQWuodcD1bYINn1j6Cfz7Of+OElvJgOvFmYwJgRNgFaxgDAY8eAgQYBEsEDhhwEoqQgiZiEazKTKFDdSUOo6eB0Imt75D68JqGB6LB93R7qR1JmtA0b8/VEgJYX7ZfPhCvddv4yGYG06DdUKGa8x9WjBNExs3voNvfetv6OoKp9zudlvx+c+vhSAwOHasHcGgCtPUwTAcHA4BM2aUwet1jsKep8dxHIqLi5OWXXTRRbjooosyuv8vf/lL3HPPPUkhVfz/3d3dsNt7+x2JooiioiJ0d3fDNE2EQiGEQiE0NzUDADrVTtgiNlS4KvDYY48lhVR9sSyLkydPoqamBgDw29/+Fps3b04EUz1GD46Ej+BU9BR62B6IU0SwQmpQ5RAd+OSyT+LTyz6NYltxyu0DMQwDATUAjuUgSRIEMzYbH8dyCKgB6Eb6JuWEEDJRjUZTZFnW0NDQgpqaYnzyk6thGAYqKz2TMmygptQx9DwQMjn1H1oXkAOY4p6SEj4NFVAUqi/UaPWb6vu48VCpM9KJsBLG1uNbx10wN5wG64QM15j65Njc3I2vf/0veOWV/Wlv37BhAb773evBssC7754Cz/MIhWQYhgGWZWG3S6itLUFR0cRpPl1aWorS0sxS5gcffBAPPvggomoU+07tQ0t7Czo6OtDV3YVQTwiiRURIDUEzNCxduhRXX311SpgViURgGEbScMTt27fjT3/604CPO/UbU8F6eoMnm2DDv5/z7/jUsk/BY/UM+5hVXYWma4iqUWiGBt3UwTEceJaHwArQjPRTlRNCCMkPWdbw5JM7UiqdLrxwzoQKneLhWmtrD8rL3ZMyVCOEkKH0H1pnF+3Y37Yfa6evTYQrQwUUheoLNVr9pgZ73CMdR1JCJ6A3mBurjdmH22CdkOEYE5+uTNPEk0/uxLe//TT8/mjK7UVFdvy///dhXH31UjAMg56eCKZOLQPPiwiFwtB1ExzHwG63oarKM6IzyI1FISUEm9OGUqkUJdUlMGGCAQNZlyHqIgLRAL7whS/gC1/4Qsp9o9Eourq6kiqpPvaxj6FyRiVe2fsKDp0+BD2swwgbMCIG9IgO1hoLnSROwtLKpbjl3FtwwcwLst5/1VATM/Ppeqy6SYcOndNhN+1DNk8nhJCRMJFDi4aGlgk/m91A4dqNN66YMK8jIYTkQ//ePyzDospZhVkls3BezXkZBRSF6AslazK2n9qOv+z7CyROgl20g2XYERnWNtjxDFY5NNYbs2fbYJ2QoYz6J6szZ7rw1a8+iX/843Da26+8cgn+3//7cNLwOVHk4HJZYbVyCAad0HUDHMfC4RAhCCIEgRup3R+TIloEQTUImLEZ6OKzwom8iKAaRJE+cHN1i8WCysrKxM8nu07i+ejzeNbyLIxzDHjPSW0KLnESFpUvwtLKpSizlaHSXZmyznDopo6wFobESdAYDQYMsGDBszzCWhi6SUPtCCGja6KHFhNtNrt0IeFkCNcIISQf0vX+YRkWs0tnZxxS5LtxdTzAOdx+GI3+RgBAia0EVc4qsAxb8GFtgx3PgvIFA1YO7WvdR43ZyaRU8E/HhmFAVY3EcDhBYMGyLAzDwB//+Ca+852/IxSSU+5XWurEffddj8suW5RymyTxiQ/2RUXigLdNVoZhQNVU+GU/DNNIVDyxKguX5MqoYuh092k88NYD+Nv+vw0Y9Fh4C5ZXLsfi8sWwClaIvIhqdzUcYm7N3Vmw4MAhZIQSy3To0A0ddtYOBswg9yaEkMKb6KHFRJrNbqCQsKYmfe/B8RquEUJIoeSj90++G1fHK45mlcxKLOsId8AtueGUnAVviD3U8QxUOdTib0FADkDW5aQqrbHe/4mQXBU0oVFVHZGIDE0zYBgmWJYBz7Nobw/i619/Cm+8cTTt/a6//hx8+9vXoLg4fa8mlmXhcFjAcTJU1YBpmmAYBoLAwmqVBp2RbTLgOR5+2Y+oGk0MW2MZFgIrAABEfuChiE3+Jjzw1gP4y76/DNhLySbYcNnsy7CiegWiajQRKhbbiuF1esGxuVWc8RwPm2iDZmhQNCXx+oq8CJtoG3T/CSFkJAxVETTeh+FNpNnsBgoJb755ddr1x2O4RgghhZSP3j/5blwdrzjyhXxYU7sG205uAwDIuowrZ1xZ8IbY2RyPrMnwhX043nU8sSxepUUzx5GJrmCfgg3DQDAYRXNzJ5qbexAOR2GxSNi58zgefvgNRCKpVTcVFW5873s34IMfnD/k9gWBA8dZUoKnyR46AbGeWQIjoE1pg6b1ac7N83CKzrSzwrUEWvDgjgfx5HtPQjXSV0TZBBtuXnYzblx4I1qDreiJ9EBgBOjQwYGDwAkwTAMWwZLT/gusAImXYBWs4JjeEEvkRUi8lLSMEEJGw2AVQRNhGJ4k8bjxxhVYunQqWlsDKC93jbvwLG6gkFDXjQkTrhFCSKHl2vsn342r4xVH3dFueCwefHjehxHWwlg3fR1WTVuV8XazbfSdzfEc6TiCXY27koKyjnAHrp57Nc0cRya8gn2ClGUNhw414vXXD8DnC6O1NYzdu0+hvT2Ydv2PfnQF/u//vRputzXjx2BZFpJEQVN/hmkgqkehazqCchCaoYFneTjhRFSPwoSZWLc91I4HdzyIP737Jyi6knZ7Vt6KTyz9BD577mdRYitBT6QHbf42+GU/NL23B5Mma/BIHhiGkdP+S4IEgRNgESxgwCSCxb7LCSFkNA1WETRRhuFJEo+FC2vG/bCzgULCykoPLrxwzoQI1wghZDxIF15lG/z0rTjqjnajO9qNtTPWDjt0yqXR93DDuPZge0pQZhfsmFc2b0w0FiekkAr26aq5uQuvvroH//rXCZw6FUR7exCmmbpedXURfvCDj2Dt2jmF2pVJJ6pG4Q/54Qv7oJkaYAKyIUPWZVhYCyJKBL6QD796+1d4bM9jiGqpMwkCsV+mH1/8cfzHef8Br723qbisy/BrfgisAFWPDeVjGAYCK8Cv+QcMsDLFmAwcvANRLQpREBM9qhgmthxp3keEEDKSBqsImmiNuceSbIYwDhYSTpRwjRBCxqNcgp98VFAVYqa9wfSt0uqOdieWXz7n8rw/FiFjTcGCp3/96zRef/0kDh5shaalTwpuvnk1vvGNK+BwUAVLPoWVMDrlTrBgoWpqb48kQURjsBHvvP0OXmp4CREtkvb+Iifio4s/ilvOuwVljrKU24NyELIiI6gFAQZgGAYGDAS1IHiFR1AODthwLxMMw4DhGHgsHoSUEEzDBMMysIt2MBxDwykJIWPCQKHFRGrMPZZkO4RxIg0bJISQiWSw4KeupG7ISqhch//le6a9oeS7zxUh40nBPnU1NLyPvXub097Gsgxuuukc3Hff9YV6+ElNVmUYhoEepQeGacQqnnQZu5p3ocHXMGAPJ4EVcOOiG3HLiltQ6awccPuqriJqRCFyIkzDTDQvZ1gGUSM6YFPyTJmmCY7hEDbCSY3EVUOFhbfkPJSPEEIKaSI15h5LchnCSJVNhJBCG86QsWyHl000AwU/Lf4WvNv8btZD4DKV75n2hpLvPleEjCcFC56sVh48z6RUO3EcYLUymDKFvvlVdAWBaACqoUJgBTgtTohc7jO2GTCgmAoECOiWu9HQ0YAjXUcGDIR4lsd1C67DrStuRbW7esjtM2AgsiICcgC6oScqqjiWg1Ny5jwUjmEY6KYOiZNSZrXTTZ0qngghYxpV2BQGDWEkhIxVwxkylmtfoYlkoOCHY7kRGQI3GhVIuVZpETJeFewKXhR5OJ0SGCb2M8MAksTAYmEhSRI4bnJ/AO+J9OBU1yk0B5rRGmxFc6AZp7pOoSeS/oP1cESUCBraGrDp+CY8d+Q5HOw4mDZ04hgO1y+4Hq985hXce8m9GYVOAGARY1VHOnSYMGHAgAkTOnQYhgGrlHmD+HRM0wTP8JB1GSZjAixgMiZkXQbP8FTxREiBbdu2DVdeeSWqqqrAMAyefvrpIe+zdetWLFu2DJIkYdasWXjkkUcKvp9jWbzCZv36eVi4cAqFTnlAQxgJmTgm2nlmoCFjRzqO5LTuRBcPfvpaO2PtgDNY53sIXLwC6Yurv4ibltyEL67+4qQMAAkZCQX7JFxeXoz6+grs398EWVYhimxsZjJJwKxZ5Sgt9RTqocc8RVfQ5G9CZ6QTESWSmHXOKlqh6RqsonVYlU+maeJIxxFsObYFm49txu6m3Ukz1/XHMiyumnsVvrDyC5heNH3Y+y9xEuyCHQE1ADCx7TFn/7MLdgisMOxt9sUwDDRTg4W3QDf0WAUVE/v2QzM1qngipMBCoRAWL16Mz3zmM/jwhz885PonTpzA5ZdfjltuuQWPPfYYNm/ejM9+9rOorKzEhg0bRmCPyWRAQxgJmTgm2nlmOL2CRrqv0Fg20NCzgUK4QgyBowokQkZGwYKnZcum4sCB96HrUYRCBkwzVvVkt7NYvLgSy5ZNLdRDj3ld4S60hlrR7G+GpmvQDR0cy4HneKiGimJbMcqd5YNuQ9EVvH3mbWw+thlbjm3B6Z7TGT12XXEdbjn3Flyz8Jqs959lWVglK7zwIipHoZkaeIaHRbLAKlnBsem/pciUaZoQORGKroDlkkMmkROp4omQArv00ktx6aWXZrz+Qw89hOnTp+NHP/oRAGDu3Ll4/fXX8ZOf/GRMXBCQiYGGMBIycUy088xwegUVuq/QeOsflS74oSbchEw8Bfu0VltbhnXr5kMUgc5OFZpmgucZFBcLWL16PmprU2dLmyw6Q51o6mqCL+KDoimJ4EbkRZi6iSp7VdrgqSvSha3Ht2LLsS3YdnIbgkow48estFdiUekiVHuqUeHM7dthxmRg5+0IK2HwPA/O5GI9nhgOdt4OBkxO2+dYDgInxCqcdA0mTDBgwHM8WIYFP8mHaRIy1rz55ptYv3590rINGzbgS1/60og8vixraGhoQWtrD8rL3RRGTGDUJJyQyWm0zzNDGU5QUshQZaL0j6Im3IRMPAX7ZM7zPM49tw4lJQ6cPNkBTVPB8wJqa0swY0YleH7yXhQE5AB8IR+a/E0IqSEYMMCChV2wAwbQE431eTJNE0c7jmLL8S3YcmwL3ml6JzZLXQZ4lkeppRRemxdlljJIggQRIliGhaHnVjHEsAwUQwHDMLE/YAAmNkQuvjwXHMslKp76zmoHxCqeWIaG2hEylrS0tKC8PDksLy8vh9/vRyQSgdWa2vdNlmXIspz42e/3Z/XYsqzhySd3pAy/uvHGFRQ+EULIBJHNeQbI37lmKMMJSjJdN5vKpYH6R+W7KfdIoCFwhEwsBf1UbrOJmDOnGlOnlsM0DTAMC5uNn9ShEwDIiozTXafRLXdDMRTAAMACUTUKVVNhESx46dhL2HJsC97veT/j7VY4K3DxjItRZa9CU08T3u9+H1Ejih69B4zOwMJa4NJc4LjchsIxJgPVVGND7sTkE71qqjnPaidwAgSjt+IpLl7xJHC59ZAihIy+++67D3fffXfO22loaEkKnQDg1VcPYOnSaVi4cErO2yeEEDJ+5etck4nhBCVDrZtt5RL1jyKEjFUFT4B4nofLNbmDpv6iRhSyIcMX8kExFei6jqAWRFgNI6SF8PTRpzPe1qKKRbho5kW4eObFmFs6FwzD4J8N/8SxtmPQmORG3BqjIRgJQlXUnPZfNVVYOAtgApqhwTCN2BA4loeFs0AzU2fQGw6WYSFxEmRdTql4kjiJKp4IGWMqKirQ2tqatKy1tRUul2vAb6HvvPNO3H777Ymf/X4/ampqhv3Yra3pZwJtbfXTcCxCCJkgsjnPAPk714y0bCuXCt0/ihBCskWJ0CiIKBF0hbsQlINoi7YhqGXeq8nCW3D+tPNx0cyLsG7GOpQ5UntlKYYCTuDgNb29FUgMIDACOIGLLcsBYzKwcJZY82+wiSCIZVhYOAtY5B4MxXs8qbqatIxCJ0LGnpUrV+KFF15IWvbKK69g5cqVA95HkiRIUu69GsrL3QMsd+W8bUIIIWNDNucZIH/nmpGWbeUSNeUmhIxVFDyNMF/Ih5ePvIxdbbsg6/LQdwBQ4ajAupnrcPGMi7Fy6kpYBMug6zMsgxJbCXyMD6IhQtd1cBwXW24tSZkpbrgEToAGDVbBCp3TYZpmrLk4y0GDlvOsdnEsw1ITQUJGQTAYxNGjRxM/nzhxAnv27EFxcTGmTp2KO++8E42NjfjDH/4AALjlllvw85//HHfccQc+85nPYMuWLfjzn/+M559/vuD7Wl9fgfXr56X0eKqvz20SBUIIIYUzns4zoyHbyiVqyk0IGasoeBoBpmlid/NuPLr7Ubx4+EWoxtAVRwvKF+DimRfjopkXYX7Z/GE17C62F0PiJXisHmi6Bt3QwbEceI5PLM+FxEsQWRGKoaTMMCeyIp3cCBnn/vWvf2HdunWJn+PDFG6++WY88sgjaG5uxvvv9/afmz59Op5//nncdtttuP/++zFlyhT85je/GZEpriWJx403rsDSpVPR2hpAebmLZrUjhJAxbjydZ0ZDLpVL1JSbEDIWMaZp5tgKeuIyTAOqriYqeoY71CuqRvHcoefwhz1/wP7W/YOuy4CBQ3Cg2lWNG+ffiE+e98ms97s91I5XDr6CU/5T0EwNJkwwYMAzPKa5puGDcz+Y01jvqBpFQA7AL/uh6X22z/FwSS64LC4Knwghw+L3++F2u9HT0wOXi4bJEUJIruj3aqrx9JwkZrWjyiVCyBiW6e9V+kp4AKquIqSGEFWj0EwNPMPDIlhgF+xDzqp2uvs0Hnv3MTy19yl0R7sHXdchOFBuL0eRtQiswcIm2lBkK8pp322CDTPLZkI1VPTIvY133ZIbM8tmwibYcto+wzCwilYIvICoEk0ETxbRAp6ltxQhhBBCCCG5oMolQshEQilBGoZpoDvSje5oN6JaFIZhgGVZWHgLVIuKEntJSuWTYRp449QbeHT3o9hybAtMDFxIxrM8pjinwCE4IDCxEEvXdHACh1J7KURWHPC+mVA1FUXWIsyrnIdAJADd1MExHJxWJ9wWNzQ9t1nnBE6AaqjgWR4OiyPt7YQQQgghhBBCCCEUPKURUSNoD7WjLdCGjlAHFF2ByIkosZdAdaqwiTbYRTsAICAH8Jd9f8Ef9/wRJ7tODrrdalc1PrbkY6h11uL1k68jFA3F+j3FZ51jBQicAJclt9Jf1VDBczyKbcVwSb3b4jkeDMMkzRSXDZZhIXFS2uboEifRzHOEEEIIIWTCSAx7C7aj1EHD3gghZLgoeEojIAdwovMEjrUeQ0gPQTEUiKwIe5cdM8tnosRWgjM9Z/DHPX/E0weeRlgND7q9C2ovwMeXfBzrZqwDx3I43H4YJ3wncFo/Dei961k5K6od1ShxluS0/wIbqzhiGAYCn1p9lI+KJIETwLFcUog13B5YhBBCCCGEjGWyJuMv+/6S0uj7+gXXU/hECCEZouApjTZ/Gw42H8TxruPQjN7m2SzD4mDHQfzq7V9hX9u+QbfhEB24bsF1+PiSj2NG8Yyk29wWN6aWTIWsywjqwcT2HZwDU0umwm1x57T/kiBBVEUoupJym8iJEPnchvLFsQxLJ1xCCCGEEDJhHek4khQ6AcDW41uxuHIx9WAihJAMUfCURmt3K050nYAqq9BYDRE1grZIG1qCLZCN1OFlfdWV1OGTSz+Jq+ddnRiO1x/HcnBZXZheOh2BaCDRQ8ppccJldYFjuZz2X+Il2EU7OI1L6ufEczwsvIXCIkIIIYQQQjLQHmxPvzyUfjkhhJBUFDyl0aP0QDd0nA6fRmu4FX7FP+j6HMPhg7M+iE8s/QRW1KwAwzCDP4AJOC1O8BwPt9Wd6PEk8RKsghWmOXBj8kywDAuH6ADHxoKneEUVz/Gw8lYaDkcIIYQQQkgGSh2l6Zfb0y8nhBCSioKnNFRNxeme0zjWfQwGjAHXK7GV4N8W/Rs+uvijqHRWZrx9juUSAZCFtySCIY7lIHES9WAihBBCCCFkDKgrqcPaGWtTejzVldSN3k4RQsg4Q8FTP1E1iueOPIdD3YcGXKfGWYPbLrgNH6r/UFbD1gRWgE20JYbC9a1IkngJHJPbULs46sFECCGEEEJI9iRewvULrsfiysVoD7Wj1E6z2hFCyHBR8NTHgbYDuO2523C082ja2yVWwjTXNHxi4Sdw9byrs34cq2hFWAunHQrHMiysojXrbRNCCCGEEELyR+IlaiROCCE5oOAJgGEa+M3bv8GPX/8xVENNud3CWVAsFcPKW1FkLwLH5VaRxLM8nKITASWQMsOcU3SCZ+llIYQQQgghhBBCyPg36ROOJn8TvvLiV7Dj9I6U2xgwmOKYAq/kBcuygBlblo+KJJtog8iLiCiRRMWTVbRS6EQIIYQQQgghhJAJY1KnHH8/9Hd865VvISAHUm4rsZSg2lkNkRVhwIg1/+Y4zCmeg3JXeV4en2d5OC3OvGyLEEIIIYQQUjiyJuNIxxG0B9tR6qBeT4QQkqlJGTz5o358e/O38czBZ1JuY8DghgU3YIF3AU60n0BUj0IzNfAMDwtnQV1pHYpsRaOw14QQQgghhJDRIGsy/rLvLymz212/4HoKnwghZAiTLnjaeXonvvzCl9EUaEq5rcpZhR9e9kPM9s7G7sbdsEpWhCNhKKYCkRFhs9pQZC1CmbNsFPacEEIIIYQQMhqOdBxJCp0AYOvxrVhcuZgajxNCyBAmTfCk6Aruf+N+/HLnL2HCTLn96rlX49sXfxsuiwuGaWBG0QycZE/CY/XANE0wDAOO5VDrroXL4hqFIyCEEEIIIYSMhvZge/rlofTLCSGE9BrXwZOiKwhEA1ANFQIrwGlxQuTElPWOdRzDbS/chv2t+1Nuc0pO3LP+Hlw196rEMpZhUeWpgtViRVewC4ZhgGVZFDmKUGQpAsuwBT0uQgghhBBCyNhR6ihNv9yefjkhhJBe4zZ46on0oNHfiK5wF1RdhcAJKLIVodpVDbfVDQAwTROP7XkM9/3jPkS1aMo2VkxZgR9e9kNUuapSbhM4AV6bF27JnbSMQidCCCGEEEIml7qSOqydsTalx1NdSd3o7RQhhIwT4zJ4UnQFh9sO44z/DGRVhmEaYBkWrcFWBKNBLJmyBP6oH1976WvYemJryv0FVsBt59+Gz57zWXAsN+DjsAxLzQIJIYQQQgiZ5CRewvULrsfiysVoD7Wj1E6z2hFCSKYKHjwZpgFVVxN9kvJRNdQWbMOJ7hNoDbQiIkcQ0SOwclZYJStUQ8WJnhP44T9/iM5IZ8p9ZxXPwo8v/zHml8/PaR8IIYQQQgghk4fES9RInBBCslDQ4EnVVci63LvABFRDhcRJEDgh6+02dzejsbMR7/vfh2Zo0E0dHBOrXHr16KvYiuBbDwAAEelJREFU70vt5QQAn1j6CXx9zddhESxZPzYhhBBCCCGEEEIIyUzBgifDNJJDpz5kXQbHcllXPvWEe3Cy+yQiSgSqocKEiaASxOGuw4hokZT1vTYvvveh72HtjLVZPR4hhBBCCCGEEEIIGb6CBU+qrgKIBVCarsGAARYseI4Hy7BQdTXrMdEhNQRZk9EZ7oRu6GiNtqIt0pZ23fWz1uPeS+5Fia0k62MhhBBCCCGEEEIIIcNXsCnaTNOEqquIqLGqJN3QoRpnfz4bSmVLN3VEtAhaIi043HM4behk5a2495J78dDVD1HoRAghWXjggQdQW1sLi8WCFStWYOfOnQOu+8gjj4BhmKQ/FgsNayaEEDIwOs8QQsjkULCKJxMmFF1JW/Gk6Aos/PBOFKZp4mD7Qbzc8DL+su8vaAm2DLjuVNdUPHzDw5heND3XwyCEkEnpySefxO23346HHnoIK1aswE9/+lNs2LABhw8fRllZWdr7uFwuHD58OPEzwzAjtbuEEELGGTrPEELI5FH45uKaDN3QE7PacTqX8RA73dCxu2k3Nh3ZhJePvIwz/jND3meKcwr+67z/otCJEEJy8OMf/xif+9zn8OlPfxoA8NBDD+H555/Hww8/jK9//etp78MwDCoqKkZyNwkhhIxTdJ4hhJDJo3AVT6YJTdcQUkJQdAW6oYNjOYicmJiBLh1FV/DW+2/h5SMv49Wjr8IX9mX0eAIroMpehfqSenDswNsnhBAyOEVRsGvXLtx5552JZSzLYv369XjzzTcHvF8wGMS0adNgGAaWLVuGe++9F/Pnz0+7rizLkOXeCSj8fn/+DoAQQsiYNhLnGYDONYQQMlYUtLl4VIvCF/ChI9SBsBaGjbehxF4CkROhaAqsghUAEFbC2HZyGzYd2YQtx7cgIAcy23mGh0t0wSk64RSc4MFDN3SwhWtdRQghE57P54Ou6ygvL09aXl5ejkOHDqW9z+zZs/Hwww9j0aJF6OnpwQ9/+EOsWrUK+/fvx5QpU1LWv++++3D33XcXZP8JIYSMbSNxngHoXEMIIWNFQYOno+1HcaDlAPyKH4qhQGRFuEQX5qnzIHIiNh/fjJePvIx/nvwnZE0eeqMAatw1qC+qR1gJQ9VV6KbeezAsD6tghcAKhTosQgghaaxcuRIrV65M/Lxq1SrMnTsXv/zlL/Gd73wnZf0777wTt99+e+Jnv9+PmpqaEdlXQggh489wzzMAnWsIIWSsKFjw1BZqw/7m/WjwNSCiRwDEhtEFlSCeO/IcmkPNMEwjo23Ve+uxoW4DLqm7BHNL5+L1Y69j05FN6A53QzGUxHoiK8JtccNusRfkmAghZDLwer3gOA6tra1Jy1tbWzPurSEIApYuXYqjR4+mvV2SJEhSZv3+CCGETCwjcZ4B6FxDCCFjRcGCp9O+0zjWeQzt4Xb0KD3oinYhpIUyvv/SyqX4YN0HcUndJSmNwousRah2VcM0TCiGkpgxT2RFVLuqUWQryvfhEELIpCGKIpYvX47NmzfjmmuuAQAYhoHNmzfjC1/4Qkbb0HUde/fuxWWXXVbAPSWEEDIe0XmGEEIml4IFT76gD281v4WQmlnYxDEcVtSswIa6DVg/az0qnAN/21HkLEKZqwyaoSGshRMz5tl4G8pcZfA4PHk6CkIImZxuv/123HzzzTjnnHNw3nnn4ac//SlCoVBi9qFPfvKTqK6uxn333QcAuOeee/CBD3wAs2bNQnd3N37wgx/g1KlT+OxnPzuah0EIIWSMovMMIYRMHgULngzTAANm0HUkXsIF0y7AJXWX4KKZF6HImlmlkkN0oNReCtM0EVWjieDJIlhQai+FQ3Tk4xAIIWTSuvHGG9He3o7/+3//L1paWrBkyRK89NJLiUaw77//Pli2dyKHrq4ufO5zn0NLSwuKioqwfPlybN++HfPmzRutQyCEEDKG0XmGEEImD8Y0TbMQG/7jjj/igX89gLZIW/IDgoFDcOCymZfhG5d8A3Zx+P2Y/BE/2oPtaAu3IapFYRomGJaBhbegzFaGMmcZnBZnvg6FEEJIgfn9frjdbvT09MDlco327hBCyLhHv1dT0XNCCCH5lenv1YJVPDFgUG2vRlukDQwYSJwEiZPg5J2oclZhQdmCrEInADAZEw6rA6IoIiyHYZgGWIaFTbJB5ESYKEiWRgghhBBCCCGEEEKGoWDBk0WyoMhahDpXHQRBiA27YwDe4OEQHbCJtqy3LXIioloUIidCtIkptwuckMuuE0IIIYQQQgghhJA8KFjw5LV54ba4EVWj0FgNMJEIntwWN4rtxVlvW+IliJoIRVdSbhM5ERJP06YSQgghhBBCCCGEjLaCBU+l7lLUuGugaAqiRjSx3MJaUOOuQam7NOttswwLh+hARItA07XEcp7jYeWtYBl2kHsTQgghhBBCCCGEkJFQsODJJbkwt2IuBE5AWAtDMRSIrAgbb8Os0llwirk1/xY4ARzLQdXVpGUUOhFCCCGEEEIIIYSMDQULnmyiDeXuclgEC7rD3dBMDTzDw2PzwG1zZ91YvC+WYWlYHSGEEEIIIYQQQsgYVbDgySpY4ZbcYBgGTqsz0eOJYzm4RBcsgqVQD00IIYQQQgghhBBCxoCCBU8SL8FtdUPgBUSVPj2eRAtsgo0qlQghhBBCCCGEEEImuIIFT/EG4BzLwcpbex+QGoATQgghhBBCCCGETAoFC54AagBOCCGEEEIIIYQQMpkVNHgCqAE4IYQQQgghhBBCyGRFpUeEEEIIIYQQQgghpCAoeCKEEEIIIYQQQgghBUHBEyGEEEIIIYQQQggpiIL3eCKEEEKGYpomAMDv94/ynhBCyMQQ/30a//1K6FxDCCH5lum5hoInQgghoy4QCAAAampqRnlPCCFkYgkEAnC73aO9G2MCnWsIIaQwhjrXMCZ9DUIIIWSUGYaBpqYmOJ1OMAwz7Pv7/X7U1NTg9OnTcLlcBdjDsYmOm457Mpisxw3kduymaSIQCKCqqgosS901gNzONZP1fUjHPbmOG5i8x07Hnd1xZ3quoYonQggho45lWUyZMiXn7bhcrkn1YSGOjntyoeOefLI9dqp0SpaPc81kfR/ScU8+k/XY6biHL5NzDX39QQghhBBCCCGEEEIKgoInQgghhBBCCCGEEFIQFDwRQggZ9yRJwn//939DkqTR3pURRcdNxz0ZTNbjBib3sY81k/W1oOOeXMcNTN5jp+Mu7HFTc3FCCCGEEEIIIYQQUhBU8UQIIYQQQgghhBBCCoKCJ0IIIYQQQgghhBBSEBQ8EUIIIYQQQgghhJCCoOCJEEIIIYQQQgghhBQEBU+EEELGhQceeAC1tbWwWCxYsWIFdu7cOej6Tz31FObMmQOLxYKFCxfihRdeGKE9za/hHPevf/1rXHDBBSgqKkJRURHWr18/5PM0Vg339Y574oknwDAMrrnmmsLuYIEM97i7u7tx6623orKyEpIkob6+fly+14d73D/96U8xe/ZsWK1W1NTU4LbbbkM0Gh2hvc2Pbdu24corr0RVVRUYhsHTTz895H22bt2KZcuWQZIkzJo1C4888kjB93MyofMMnWcyMd7PMwCda+hcM7iCnGtMQgghZIx74oknTFEUzYcfftjcv3+/+bnPfc70eDxma2tr2vXfeOMNk+M48/vf/7554MAB85vf/KYpCIK5d+/eEd7z3Az3uG+66SbzgQceMHfv3m0ePHjQ/NSnPmW63W7zzJkzI7znuRnuccedOHHCrK6uNi+44ALz6quvHpmdzaPhHrcsy+Y555xjXnbZZebrr79unjhxwty6dau5Z8+eEd7z3Az3uB977DFTkiTzscceM0+cOGG+/PLLZmVlpXnbbbeN8J7n5oUXXjC/8Y1vmH/7299MAObGjRsHXf/48eOmzWYzb7/9dvPAgQPm//7v/5ocx5kvvfTSyOzwBEfnGTrPTIbzjGnSuYbONRsHXb9Q5xoKngghhIx55513nnnrrbcmftZ13ayqqjLvu+++tOt/5CMfMS+//PKkZStWrDD/8z//s6D7mW/DPe7+NE0znU6n+fvf/75Qu1gQ2Ry3pmnmqlWrzN/85jfmzTffPC4vCIZ73A8++KA5Y8YMU1GUkdrFghjucd96663mRRddlLTs9ttvN1evXl3Q/SykTC4G7rjjDnP+/PlJy2688UZzw4YNBdyzyYPOMzF0npnY5xnTpHNNHJ1r0ivUuYaG2hFCCBnTFEXBrl27sH79+sQylmWxfv16vPnmm2nv8+abbyatDwAbNmwYcP2xKJvj7i8cDkNVVRQXFxdqN/Mu2+O+5557UFZWhn//938fid3Mu2yO+9lnn8XKlStx6623ory8HAsWLMC9994LXddHardzls1xr1q1Crt27UoMkTh+/DheeOEFXHbZZSOyz6NlIvxeG6voPEPnmclwngHoXEPnmqEV6ncbn9O9CSGEkALz+XzQdR3l5eVJy8vLy3Ho0KG092lpaUm7fktLS8H2M9+yOe7+vva1r6GqqirlA8RYls1xv/766/jtb3+LPXv2jMAeFkY2x338+HFs2bIFH/vYx/DCCy/g6NGj+PznPw9VVfHf//3fI7HbOcvmuG+66Sb4fD6cf/75ME0TmqbhlltuwV133TUSuzxqBvq95vf7EYlEYLVaR2nPxj86z9B5Bpj45xmAzjV0rhlaoc41VPFECCGETEDf/e538cQTT2Djxo2wWCyjvTsFEwgE8IlPfAK//vWv4fV6R3t3RpRhGCgrK8OvfvUrLF++HDfeeCO+8Y1v4KGHHhrtXSuorVu34t5778UvfvELvPPOO/jb3/6G559/Ht/5zndGe9cImVToPDM50LmGzjX5QBVPhBBCxjSv1wuO49Da2pq0vLW1FRUVFWnvU1FRMaz1x6Jsjjvuhz/8Ib773e/i1VdfxaJFiwq5m3k33OM+duwYTp48iSuvvDKxzDAMAADP8zh8+DBmzpxZ2J3Og2xe78rKSgiCAI7jEsvmzp2LlpYWKIoCURQLus/5kM1xf+tb38InPvEJfPaznwUALFy4EKFQCP/xH/+Bb3zjG2DZifm96kC/11wuF1U75YjOM3SeASb+eQagcw2da4ZWqHPNxHy2CCGETBiiKGL58uXYvHlzYplhGNi8eTNWrlyZ9j4rV65MWh8AXnnllQHXH4uyOW4A+P73v4/vfOc7eOmll3DOOeeMxK7m1XCPe86cOdi7dy/27NmT+HPVVVdh3bp12LNnD2pqakZy97OWzeu9evVqHD16NHEBBAANDQ3/f3t36NJMHMYB/F6Qm2VgEgwqbGCxmDTuv7CNNYNYhbUzKBjEImZtihi1WEyK7ZrDImjRZhhYFJ43iPK+ry+8TL3t3fx84NJu8HsYu+/uy7hfMjY21hc3AknysbkfHx/f/eB/vSF6eXbqYBqE69r/Ss7Ime+QM0kia2TNvxV2bfvUo8kBoAv29/ejVCrF7u5uXF5exsLCQoyMjMT9/X1ERNTr9Wg2m2/nn52dxdDQUGxsbESr1Yosy/p2m+tO5l5fX480TePw8DDu7u7ejna73asRPqTTuf/Ur7sNdTr37e1tlMvlWFpaiqurqzg6OorR0dFYXV3t1Qgf0uncWZZFuVyOvb29uL6+jpOTk6hWqzE/P9+rET6k3W5HnueR53kkSRKbm5uR53nc3NxERESz2Yx6vf52/usW18vLy9FqtWJ7e/tLtrjmhZyRM98hZyJkjazpTdYongDoC1tbWzExMRFpmsbs7GxcXFy8vVar1aLRaPx2/sHBQUxNTUWapjE9PR3Hx8ddXvHX6GTuycnJSJLk3ZFlWfcX/kmdft6/6ucbgk7nPj8/j7m5uSiVSlGpVGJtbS2en5+7vOrP62Tup6enWFlZiWq1GsPDwzE+Ph6Li4vx8PDQ/YV/wunp6V+/r6+zNhqNqNVq794zMzMTaZpGpVKJnZ2drq97kMkZOfNqkHMmQtbImu5nzY+IAf6fGAAAAAA94xlPAAAAABRC8QQAAABAIRRPAAAAABRC8QQAAABAIRRPAAAAABRC8QQAAABAIRRPAAAAABRC8QQAAABAIRRPAAAAABRC8QQAAABAIRRPAAAAABRC8QQAAABAIX4CL7YQxjeT6okAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plotTimeSeries('SERTAD2', aligner, plot_cells=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "talented-words",
-   "metadata": {},
-   "source": [
-    "The below attributes and functions can be used to examine any gene-alignment object"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "after-width",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DDDIDIDIDDDMMMMMIIIIIID\n",
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "GENE = 'TNF'\n",
-    "gene_obj = aligner.results_map[GENE]\n",
-    "\n",
-    "al = gene_obj.alignment_str\n",
-    "print(al)\n",
-    "print(VisualUtils.color_al_str(al)) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "id": "regulated-anthony",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "01234567890123456789012 Alignment index \n",
-      "012 3 4 56789012      3 Reference index\n",
-      "\u001b[91m***\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m***\u001b[0m\u001b[92m*****\u001b[0m------\u001b[91m*\u001b[0m\n",
-      "---\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m---\u001b[92m*****\u001b[0m\u001b[91m******\u001b[0m-\n",
-      "   0 1 2   34567890123  Query index\n",
-      "DDDIDIDIDDDMMMMMIIIIIID 5-state string \n"
-     ]
-    }
-   ],
-   "source": [
-    "print(gene_obj.al_visual)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "utility-inspiration",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 500x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "gene_obj.landscape_obj.plot_alignment_landscape()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "opponent-parks",
-   "metadata": {},
-   "source": [
-    "### The alignment distribution across all genes \n",
-    "\n",
-    "We can use the alignment similarity percentage statistic of genes to rank genes from highly distant to highly similar"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "gross-syndrome",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage: \n",
-      "50.39 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df = aligner.get_stat_df() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "banned-alcohol",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_alignmentSim_vs_l2fc(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "finnish-seller",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene</th>\n",
-       "      <th>alignment_similarity_percentage</th>\n",
-       "      <th>opt_alignment_cost</th>\n",
-       "      <th>l2fc</th>\n",
-       "      <th>color</th>\n",
-       "      <th>abs_l2fc</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>CCRL2</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>55.943685</td>\n",
-       "      <td>-0.487688</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.487688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>77</th>\n",
-       "      <td>NFKBIA</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>54.673471</td>\n",
-       "      <td>-0.091748</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.091748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>68</th>\n",
-       "      <td>NLRP3</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.177548</td>\n",
-       "      <td>0.069058</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.069058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>TNF</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.990078</td>\n",
-       "      <td>-0.006439</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.006439</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>C5AR1</td>\n",
-       "      <td>0.2727</td>\n",
-       "      <td>57.858236</td>\n",
-       "      <td>0.8711</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.8711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>NUP54</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>30.744063</td>\n",
-       "      <td>0.012993</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.012993</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>CD44</td>\n",
-       "      <td>0.7647</td>\n",
-       "      <td>28.366715</td>\n",
-       "      <td>-0.021366</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.021366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>PLAGL2</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>31.807956</td>\n",
-       "      <td>-0.051268</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.051268</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>ZSWIM4</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>30.214575</td>\n",
-       "      <td>0.030379</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.030379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>SGMS2</td>\n",
-       "      <td>0.8667</td>\n",
-       "      <td>37.626682</td>\n",
-       "      <td>-0.020399</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.020399</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>89 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Gene alignment_similarity_percentage opt_alignment_cost      l2fc  \\\n",
-       "63   CCRL2                          0.2174          55.943685 -0.487688   \n",
-       "77  NFKBIA                          0.2174          54.673471 -0.091748   \n",
-       "68   NLRP3                          0.2174          57.177548  0.069058   \n",
-       "3      TNF                          0.2174          57.990078 -0.006439   \n",
-       "45   C5AR1                          0.2727          57.858236    0.8711   \n",
-       "..     ...                             ...                ...       ...   \n",
-       "34   NUP54                            0.75          30.744063  0.012993   \n",
-       "15    CD44                          0.7647          28.366715 -0.021366   \n",
-       "19  PLAGL2                          0.8235          31.807956 -0.051268   \n",
-       "51  ZSWIM4                          0.8235          30.214575  0.030379   \n",
-       "26   SGMS2                          0.8667          37.626682 -0.020399   \n",
-       "\n",
-       "    color  abs_l2fc  \n",
-       "63    red  0.487688  \n",
-       "77    red  0.091748  \n",
-       "68    red  0.069058  \n",
-       "3     red  0.006439  \n",
-       "45    red    0.8711  \n",
-       "..    ...       ...  \n",
-       "34  green  0.012993  \n",
-       "15  green  0.021366  \n",
-       "19  green  0.051268  \n",
-       "51  green  0.030379  \n",
-       "26  green  0.020399  \n",
-       "\n",
-       "[89 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "previous-fever",
-   "metadata": {},
-   "source": [
-    "### Run gene set overrepresentation analysis over the top k mismatching genes\n",
-    "\n",
-    "Let us use 30% alignment similarity (=0.3) as a threshold in this case"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "lyric-english",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "63      CCRL2\n",
-       "77     NFKBIA\n",
-       "68      NLRP3\n",
-       "3         TNF\n",
-       "45      C5AR1\n",
-       "84    SPATA13\n",
-       "33      CXCL2\n",
-       "12     RALGDS\n",
-       "31     INSIG1\n",
-       "6       MALT1\n",
-       "Name: Gene, dtype: object"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "topDEgenes = df[list(df['alignment_similarity_percentage'] <=0.3)]['Gene']\n",
-    "topDEgenes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "statistical-complement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene_set</th>\n",
-       "      <th>Term</th>\n",
-       "      <th>Overlap</th>\n",
-       "      <th>P-value</th>\n",
-       "      <th>Adjusted P-value</th>\n",
-       "      <th>Old P-value</th>\n",
-       "      <th>Old Adjusted P-value</th>\n",
-       "      <th>Odds Ratio</th>\n",
-       "      <th>Combined Score</th>\n",
-       "      <th>Genes</th>\n",
-       "      <th>-log10 Adjusted P-value</th>\n",
-       "      <th>-log10 FDR q-val</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>C-type lectin receptor signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NF-kappa B signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>TNF-alpha Signaling via NF-kB</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;CCRL2;TNF;CXCL2</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>Inflammatory Response</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;C5AR1;CCRL2;NLRP3</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NOD-like receptor signaling pathway</td>\n",
-       "      <td>4/181</td>\n",
-       "      <td>1.305897e-06</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>74.625235</td>\n",
-       "      <td>1011.068962</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.392729</td>\n",
-       "      <td>4.392729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Lipid and atherosclerosis</td>\n",
-       "      <td>4/215</td>\n",
-       "      <td>2.592326e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>62.492891</td>\n",
-       "      <td>803.843248</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Legionellosis</td>\n",
-       "      <td>3/57</td>\n",
-       "      <td>2.596486e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>158.222222</td>\n",
-       "      <td>2034.951617</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Coronavirus disease</td>\n",
-       "      <td>4/232</td>\n",
-       "      <td>3.507534e-06</td>\n",
-       "      <td>0.000054</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>57.783626</td>\n",
-       "      <td>725.796849</td>\n",
-       "      <td>NFKBIA;C5AR1;NLRP3;TNF</td>\n",
-       "      <td>4.264666</td>\n",
-       "      <td>4.264666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Shigellosis</td>\n",
-       "      <td>4/246</td>\n",
-       "      <td>4.425543e-06</td>\n",
-       "      <td>0.000059</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>54.402204</td>\n",
-       "      <td>670.676767</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>4.230649</td>\n",
-       "      <td>4.230649</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>IL-17 signaling pathway</td>\n",
-       "      <td>3/94</td>\n",
-       "      <td>1.177987e-05</td>\n",
-       "      <td>0.000137</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>93.715856</td>\n",
-       "      <td>1063.592345</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.863467</td>\n",
-       "      <td>3.863467</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>T cell receptor signaling pathway</td>\n",
-       "      <td>3/104</td>\n",
-       "      <td>1.596141e-05</td>\n",
-       "      <td>0.000165</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>84.394625</td>\n",
-       "      <td>932.167056</td>\n",
-       "      <td>NFKBIA;TNF;MALT1</td>\n",
-       "      <td>3.782688</td>\n",
-       "      <td>3.782688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>TNF signaling pathway</td>\n",
-       "      <td>3/112</td>\n",
-       "      <td>1.993521e-05</td>\n",
-       "      <td>0.000185</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>78.169069</td>\n",
-       "      <td>846.025656</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.731896</td>\n",
-       "      <td>3.731896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Yersinia infection</td>\n",
-       "      <td>3/137</td>\n",
-       "      <td>3.642707e-05</td>\n",
-       "      <td>0.000308</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>63.505330</td>\n",
-       "      <td>649.037070</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.511485</td>\n",
-       "      <td>3.511485</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Influenza A</td>\n",
-       "      <td>3/172</td>\n",
-       "      <td>7.174680e-05</td>\n",
-       "      <td>0.000556</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>50.264582</td>\n",
-       "      <td>479.643099</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.254896</td>\n",
-       "      <td>3.254896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Pathogenic Escherichia coli infection</td>\n",
-       "      <td>3/197</td>\n",
-       "      <td>1.073310e-04</td>\n",
-       "      <td>0.000768</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>43.731959</td>\n",
-       "      <td>399.692315</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.114735</td>\n",
-       "      <td>3.114735</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                Gene_set                                      Term Overlap  \\\n",
-       "13       KEGG_2021_Human  C-type lectin receptor signaling pathway   4/104   \n",
-       "14       KEGG_2021_Human              NF-kappa B signaling pathway   4/104   \n",
-       "0   MSigDB_Hallmark_2020             TNF-alpha Signaling via NF-kB   4/200   \n",
-       "1   MSigDB_Hallmark_2020                     Inflammatory Response   4/200   \n",
-       "15       KEGG_2021_Human       NOD-like receptor signaling pathway   4/181   \n",
-       "16       KEGG_2021_Human                 Lipid and atherosclerosis   4/215   \n",
-       "17       KEGG_2021_Human                             Legionellosis    3/57   \n",
-       "18       KEGG_2021_Human                       Coronavirus disease   4/232   \n",
-       "19       KEGG_2021_Human                               Shigellosis   4/246   \n",
-       "20       KEGG_2021_Human                   IL-17 signaling pathway    3/94   \n",
-       "21       KEGG_2021_Human         T cell receptor signaling pathway   3/104   \n",
-       "22       KEGG_2021_Human                     TNF signaling pathway   3/112   \n",
-       "23       KEGG_2021_Human                        Yersinia infection   3/137   \n",
-       "24       KEGG_2021_Human                               Influenza A   3/172   \n",
-       "25       KEGG_2021_Human     Pathogenic Escherichia coli infection   3/197   \n",
-       "\n",
-       "         P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  \\\n",
-       "13  1.414253e-07          0.000007            0                     0   \n",
-       "14  1.414253e-07          0.000007            0                     0   \n",
-       "0   1.944057e-06          0.000013            0                     0   \n",
-       "1   1.944057e-06          0.000013            0                     0   \n",
-       "15  1.305897e-06          0.000040            0                     0   \n",
-       "16  2.592326e-06          0.000048            0                     0   \n",
-       "17  2.596486e-06          0.000048            0                     0   \n",
-       "18  3.507534e-06          0.000054            0                     0   \n",
-       "19  4.425543e-06          0.000059            0                     0   \n",
-       "20  1.177987e-05          0.000137            0                     0   \n",
-       "21  1.596141e-05          0.000165            0                     0   \n",
-       "22  1.993521e-05          0.000185            0                     0   \n",
-       "23  3.642707e-05          0.000308            0                     0   \n",
-       "24  7.174680e-05          0.000556            0                     0   \n",
-       "25  1.073310e-04          0.000768            0                     0   \n",
-       "\n",
-       "    Odds Ratio  Combined Score                     Genes  \\\n",
-       "13  132.600000     2091.300110    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "14  132.600000     2091.300110    NFKBIA;TNF;CXCL2;MALT1   \n",
-       "0    67.326531      885.393278    NFKBIA;CCRL2;TNF;CXCL2   \n",
-       "1    67.326531      885.393278  NFKBIA;C5AR1;CCRL2;NLRP3   \n",
-       "15   74.625235     1011.068962    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "16   62.492891      803.843248    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "17  158.222222     2034.951617          NFKBIA;TNF;CXCL2   \n",
-       "18   57.783626      725.796849    NFKBIA;C5AR1;NLRP3;TNF   \n",
-       "19   54.402204      670.676767    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "20   93.715856     1063.592345          NFKBIA;TNF;CXCL2   \n",
-       "21   84.394625      932.167056          NFKBIA;TNF;MALT1   \n",
-       "22   78.169069      846.025656          NFKBIA;TNF;CXCL2   \n",
-       "23   63.505330      649.037070          NFKBIA;NLRP3;TNF   \n",
-       "24   50.264582      479.643099          NFKBIA;NLRP3;TNF   \n",
-       "25   43.731959      399.692315          NFKBIA;NLRP3;TNF   \n",
-       "\n",
-       "    -log10 Adjusted P-value  -log10 FDR q-val  \n",
-       "13                 5.182020          5.182020  \n",
-       "14                 5.182020          5.182020  \n",
-       "0                  4.898378          4.898378  \n",
-       "1                  4.898378          4.898378  \n",
-       "15                 4.392729          4.392729  \n",
-       "16                 4.316101          4.316101  \n",
-       "17                 4.316101          4.316101  \n",
-       "18                 4.264666          4.264666  \n",
-       "19                 4.230649          4.230649  \n",
-       "20                 3.863467          3.863467  \n",
-       "21                 3.782688          3.782688  \n",
-       "22                 3.731896          3.731896  \n",
-       "23                 3.511485          3.511485  \n",
-       "24                 3.254896          3.254896  \n",
-       "25                 3.114735          3.114735  "
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pathway_df = PathwayAnalyserV2.run_overrepresentation_analysis(topDEgenes) # this is a wrapper function call for GSEAPy enrichr inferface\n",
-    "pathway_df[pathway_df['Adjusted P-value']<0.001] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "macro-interview",
-   "metadata": {},
-   "source": [
-    "### Clustering genes using their alignments\n",
-    "\n",
-    "We first run cluster diagnostics to decide on a distance threshold with a good tradeoff between the number of clusters and the quality of structure. We use levenshtein distance metric"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "persistent-potter",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " 68%|██████▊   | 67/99 [00:00<00:00, 248.94it/s]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Running experiment to determine the distance threshold with a good trade-off\n",
-    "df = ClusterUtils.run_clustering(aligner, metric='levenshtein', experiment_mode=True) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "radical-vertical",
-   "metadata": {},
-   "source": [
-    "We can inspect structures of distance thresholds that give local optimals of the mean silhouette score."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "id": "patent-ratio",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Distance threshold</th>\n",
-       "      <th>Mean Silhouette Score</th>\n",
-       "      <th>Number of clusters</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>0.67</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65</th>\n",
-       "      <td>0.66</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>64</th>\n",
-       "      <td>0.65</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>0.64</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>0.63</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>61</th>\n",
-       "      <td>0.62</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60</th>\n",
-       "      <td>0.61</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>59</th>\n",
-       "      <td>0.60</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>58</th>\n",
-       "      <td>0.59</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>57</th>\n",
-       "      <td>0.58</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56</th>\n",
-       "      <td>0.57</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55</th>\n",
-       "      <td>0.56</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>54</th>\n",
-       "      <td>0.55</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>53</th>\n",
-       "      <td>0.54</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>52</th>\n",
-       "      <td>0.53</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>0.52</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>0.51</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>48</th>\n",
-       "      <td>0.49</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47</th>\n",
-       "      <td>0.48</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>46</th>\n",
-       "      <td>0.47</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>0.46</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>44</th>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>0.44</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>0.40</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>0.39</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>0.38</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>0.37</td>\n",
-       "      <td>0.374944</td>\n",
-       "      <td>7.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.10</td>\n",
-       "      <td>0.384710</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.398382</td>\n",
-       "      <td>65.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.08</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.07</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.06</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.03</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.01</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Distance threshold  Mean Silhouette Score  Number of clusters\n",
-       "66                0.67               0.371279                 2.0\n",
-       "65                0.66               0.371279                 2.0\n",
-       "64                0.65               0.371279                 2.0\n",
-       "63                0.64               0.371279                 2.0\n",
-       "62                0.63               0.371279                 2.0\n",
-       "61                0.62               0.371279                 2.0\n",
-       "60                0.61               0.371279                 2.0\n",
-       "59                0.60               0.395886                 3.0\n",
-       "58                0.59               0.395886                 3.0\n",
-       "57                0.58               0.395886                 3.0\n",
-       "56                0.57               0.395886                 3.0\n",
-       "55                0.56               0.391956                 4.0\n",
-       "54                0.55               0.391956                 4.0\n",
-       "53                0.54               0.391956                 4.0\n",
-       "52                0.53               0.391956                 4.0\n",
-       "51                0.52               0.391956                 4.0\n",
-       "50                0.51               0.391956                 4.0\n",
-       "49                0.50               0.391956                 4.0\n",
-       "48                0.49               0.391956                 4.0\n",
-       "47                0.48               0.391956                 4.0\n",
-       "46                0.47               0.391956                 4.0\n",
-       "45                0.46               0.391956                 4.0\n",
-       "44                0.45               0.391956                 4.0\n",
-       "43                0.44               0.391956                 4.0\n",
-       "39                0.40               0.374176                 6.0\n",
-       "38                0.39               0.374176                 6.0\n",
-       "37                0.38               0.374176                 6.0\n",
-       "36                0.37               0.374944                 7.0\n",
-       "9                 0.10               0.384710                57.0\n",
-       "8                 0.09               0.398382                65.0\n",
-       "7                 0.08               0.415730                68.0\n",
-       "6                 0.07               0.415730                68.0\n",
-       "5                 0.06               0.415730                68.0\n",
-       "4                 0.05               0.415730                68.0\n",
-       "3                 0.04               0.415730                68.0\n",
-       "2                 0.03               0.415730                68.0\n",
-       "1                 0.02               0.415730                68.0\n",
-       "0                 0.01               0.415730                68.0"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df['Mean Silhouette Score'] > 0.37].sort_values('Distance threshold', ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "printable-atlanta",
-   "metadata": {},
-   "source": [
-    "If we select distance threshold 0.37 which gives a local optimal of 0.3749 silhouette_score with 7 clusters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "id": "necessary-alaska",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n",
-      "run agglomerative clustering |  0.37\n",
-      "silhouette_score:  0.37494418907841714\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.run_clustering(aligner, metric='levenshtein', DIST_THRESHOLD=0.37) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "czech-union",
-   "metadata": {},
-   "source": [
-    "Below visualizes all alignment paths in each cluster along with its number of genes "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "id": "alone-cathedral",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1200x600 with 8 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ClusterUtils.visualise_clusters(aligner,n_cols = 4, figsize= (10,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "surgical-window",
-   "metadata": {},
-   "source": [
-    "Below is the Levenshtein distance heat map of all genes ordered based on the above clustering structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "id": "scheduled-armstrong",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x1000 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_distmap_with_clusters(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sharp-salmon",
-   "metadata": {},
-   "source": [
-    "Print the cluster-specific aggregate (average) alignments for each cluster along with its number of genes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "id": "governing-talent",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "cluster:  0 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m 18\n",
-      "cluster:  1 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m 3\n",
-      "cluster:  2 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m 36\n",
-      "cluster:  3 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m 12\n",
-      "cluster:  4 \u001b[91mIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m 12\n",
-      "cluster:  5 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mV\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVV\u001b[0m\u001b[92mM\u001b[0m 2\n",
-      "cluster:  6 \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m 6\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.print_cluster_average_alignments(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "institutional-reynolds",
-   "metadata": {},
-   "source": [
-    "# Gene-set specific alignments"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "reduced-costa",
-   "metadata": {},
-   "source": [
-    "We can obtain the aggregate (average) alignment for any given gene subset in the aligner \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "nonprofit-northwest",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMIIDIIIIDDD\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "GENE_SUBSET = gene_list[40:60]\n",
-    "aligner.get_aggregate_alignment_for_subset(GENE_SUBSET )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "rubber-number",
-   "metadata": {},
-   "source": [
-    "We can check aggregate alignment and statistics of a pathway gene set with below provided wrapper function calls to retrieve pathway gene sets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "driving-share",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "IGS = PathwayAnalyserV2.InterestingGeneSets(MSIGDB_PATH='../MSIGDB/msigdb7.5.1/')\n",
-    "IGS.add_new_set_from_msigdb('hallmark', 'HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION', aligner.gene_list, 'EMT')   "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "municipal-peeing",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage:  51.04 %\n",
-      "mean matched percentage wrt ref:  64.29 %\n",
-      "mean matched percentage wrt query:  67.14 %\n",
-      "Average Alignment:  IDDDMMMMMMMMMMIMI\n",
-      "Z-normalised Interpolated mean trends\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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n7dmzRzExMWrYsKEGDx6sQ4cOeXS8jz/+WO3atVP//v1Vp04dtW3bVm+//bZHx/y9/Px8/eMf/9Dw4cMvedZdeercubNSU1O1e/duSdK3336rDRs2qGfPnh4b89dff1VBQYHCwsLcjleuXNnjM4qSlJmZqaysLLf/7kZERKhjx45+/TtJ+u33ks1mc3t4tCfl5+frrbfeUkREhNq0aeOxcZxOp+6++26NHTtWLVu29Ng48J6A/7bdyZMnVVBQcMkjLCIjI7Vz506LqvIsp9Op0aNH64YbbtC1117r0bG+//57derUSefPn1fVqlW1bNkytWjRwqNjLlq0SFu3bi3XNSrF6dixo+bNm6emTZvq2LFjmjhxorp06aLt27erWrVqHhlz//79mjlzppKSkvTUU0/pm2++0SOPPKLQ0FDTz5Mri+XLl+vMmTO65557PDrOk08+qdzcXDVr1kzBwcEqKCjQCy+8oMGDB3tszGrVqqlTp06aNGmSmjdvrsjISL333nvauHGjGjdu7LFxL8rKypKkQn8nXTznj86fP68nnnhCgwYNUnh4uEfH+uSTTzRw4ED98ssvio6O1urVq1W7dm2PjTdlyhSFhITokUce8dgYl8Of1iJ5S8CHp0A0cuRIbd++3Sv/K7pp06bKyMhQTk6OPvjgAw0dOlTr16/3WIA6fPiwRo0apdWrV18yc+Apv58Fad26tTp27Kj69etryZIluvfeez0yptPpVLt27VwPyW3btq22b9+uWbNmeSU8zZ49Wz179vT42o0lS5bon//8pxYuXKiWLVsqIyNDo0ePVkxMjEc/57vvvqvhw4erbt26Cg4O1nXXXadBgwYpPT3dY2MGsgsXLujOO++UYRiaOXOmx8fr1q2bMjIydPLkSb399tu68847tXnzZtWpU6fcx0pPT9err76qrVu3enSWFt4V8LftateureDgYGVnZ7sdz87OVlRUlEVVec7DDz+sTz75RGvXrtVVV13l8fFCQ0PVuHFjxcfHKyUlRW3atNGrr77qsfHS09N1/PhxXXfddQoJCVFISIjWr1+v1157TSEhISooKPDY2BdVr15d11xzjfbu3euxMaKjoy8JoM2bN/f47UJJOnjwoNasWeOVh/COHTtWTz75pAYOHKhWrVrp7rvv1qOPPqqUlBSPjtuoUSOtX79eZ8+e1eHDh7VlyxZduHBBDRs29Oi4kly/dwLld9LF4HTw4EGtXr3a47NOklSlShU1btxY119/vWbPnq2QkBDNnj3bI2N9+eWXOn78uOrVq+f6nXTw4EE99thjroddW41v25kX8OEpNDRU8fHxSk1NdR1zOp1KTU31ytocbzEMQw8//LCWLVumzz//XLGxsZbU4XQ65XA4PHb97t276/vvv1dGRoartWvXToMHD1ZGRoaCg4M9NvZFZ8+e1b59+xQd7bmHbd5www2XbDWxe/du1a9f32NjXjR37lzVqVNHvXr18vhYv/zyi4KC3H9NBQcHy+n0zrZ+VapUUXR0tH766SetWrVKffr08fiYsbGxioqKcvudlJubq82bN/vV7yTpv8Fpz549WrNmjWrVqmVJHZ78vXT33Xfru+++c/udFBMTo7Fjx2rVqlUeGROex207SUlJSRo6dKjatWunDh06aPr06crLy9OwYcM8NubZs2fdZiYyMzOVkZGhmjVrql69euU+3siRI7Vw4UJ99NFHqlatmmvtREREhCpXrlzu40lScnKyevbsqXr16unnn3/WwoULtW7dOo/+wqhWrdol67iqVKmiWrVqeWx915gxY9S7d2/Vr19fR48e1fjx4xUcHKxBgwZ5ZDxJevTRR9W5c2e9+OKLuvPOO7Vlyxa99dZbeuuttzw2pvTbPzJz587V0KFDFRLi+V8fvXv31gsvvKB69eqpZcuW2rZtm1555RUNHz7co+OuWrVKhmGoadOm2rt3r8aOHatmzZqV2++Ekv7+jx49Ws8//7yaNGmi2NhYPfvss4qJiVHfvn09Nubp06d16NAh1z5LF8N5VFRUmWe8ihszOjpad9xxh7Zu3apPPvlEBQUFrt9LNWvWVGhoaLmPWatWLb3wwgu6/fbbFR0drZMnT2rGjBk6cuTIZW25UdLP9n9DYaVKlRQVFaWmTZuWeczy5DT8Z0bIayz+tp/P+Pvf/27Uq1fPCA0NNTp06GBs2rTJo+OtXbvWkHRJGzp0qEfGK2wsScbcuXM9Mp5hGMbw4cON+vXrG6GhocaVV15pdO/e3fjss888Nl5RPL1VwYABA4zo6GgjNDTUqFu3rjFgwABj7969Hhvvon/961/Gtddea9jtdqNZs2bGW2+95fExV61aZUgydu3a5fGxDMMwcnNzjVGjRhn16tUzwsLCjIYNGxpPP/204XA4PDru4sWLjYYNGxqhoaFGVFSUMXLkSOPMmTPldv2S/v47nU7j2WefNSIjIw273W507979sn/mJY05d+7cQs+PHz/eI2Ne3BKhsLZ27VqPjHnu3DmjX79+RkxMjBEaGmpER0cbt99+u7Fly5Yyj1fSmIXxta0KMg5e5bXmL2yG4eGtegEAgM/69tDVXhurTb3DXhvLk7htBwBAAPOnhdzeEvALxgEAAMxg5gkAgABWwDyKafzEAAAATGDmCQCAAMZWBeYx8wQAAGACM08AAAQwvm1nHjNPv+NwODRhwgSPPj6EMb0zZiB8RsZkTMZkTFiDTTJ/Jzc3VxEREcrJyfHKwykZ03/GY0zGZEzG9IUxy+LLA429NlaXBp57YLo3MfMEAABgAmueAAAIYE7mUUzjJwYAAGCCX655ujWof5ne5zQKlKmdilUzBdmCy7kqxvTmmIHwGRmTMRnTf8dc7XzfQ1Vd6vMDTb021i0NdnltLE8iPAEA4GMIT76NNU8AAASwAoMVPGbxEwMAADCBmScAAAKYkx3GTWPmCQAAwARmngAACGAFzKOYxk8MAADABMITAACACdy2AwAggLFVgXkBHZ469rpOve6/tcjzeWd+0ZShf/diRQAA4KIvvvhCU6dOVXp6uo4dO6Zly5apb9++Rfa/5557NH/+/EuOt2jRQj/88IMkacKECZo4caLb+aZNm2rnzp2lriugw1NUgzrq1Ltdked/yj7jvWIAALCALz8YOC8vT23atNHw4cP1pz/9qcT+r776qiZPnux6/euvv6pNmzbq39/9ySMtW7bUmjVrXK9DQszFIUvD08mTJzVnzhxt3LhRWVlZkqSoqCh17txZ99xzj6688korywMAABbq2bOnevbsWer+ERERioiIcL1evny5fvrpJw0bNsytX0hIiKKiospcl2Vx85tvvtE111yj1157TREREbrpppt00003KSIiQq+99pqaNWumtLS0Eq/jcDiUm5vr1pxGgRc+AQAAFV+BYfNa87bZs2crISFB9evXdzu+Z88excTEqGHDhho8eLAOHTpk6rqWzTz99a9/Vf/+/TVr1izZbO4/UMMw9OCDD+qvf/2rNm7cWOx1UlJSLrl3GavmaqSW5V4zAAAoO4fDIYfD4XbMbrfLbreX+1hHjx7Vp59+qoULF7od79ixo+bNm6emTZvq2LFjmjhxorp06aLt27erWrVqpbq2ZTNP3377rR599NFLgpMk2Ww2Pfroo8rIyCjxOsnJycrJyXFrsWrmgYoBAPA/BQryWktJSXHdWrvYUlJSPPK55s+fr+rVq1+ywLxnz57q37+/WrdurcTERK1YsUJnzpzRkiVLSn1ty2aeoqKitGXLFjVrVnjQ2bJliyIjI0u8TmGJNcgWXC41AgCA8pOcnKykpCS3Y56YdTIMQ3PmzNHdd9+t0NDQYvtWr15d11xzjfbu3Vvq61sWnsaMGaP7779f6enp6t69uysoZWdnKzU1VW+//bb+9re/WVUeAAABwenFfZ48dYvuf61fv1579+7VvffeW2Lfs2fPat++fbr77rtLfX3LwtPIkSNVu3ZtTZs2TW+88YYKCn5b5B0cHKz4+HjNmzdPd955p1XlAQAAi509e9ZtRigzM1MZGRmqWbOm6tWrp+TkZB05ckQLFixwe9/s2bPVsWNHXXvttZdcc8yYMerdu7fq16+vo0ePavz48QoODtagQYNKXZelWxUMGDBAAwYM0IULF3Ty5ElJUu3atVWpUiUrywIAIGD48oOB09LS1K1bN9fri7f8hg4dqnnz5unYsWOXfFMuJydHH374oV599dVCr/njjz9q0KBBOnXqlK688krdeOON2rRpk6ntkXxik8xKlSopOjra6jIAAIAPufnmm2UYRpHn582bd8mxiIgI/fLLL0W+Z9GiRZddl0+EJwAAYA0r9l+q6Hx3rg4AAMAHMfMEAEAA8+Vn2/kqfmIAAAAmMPMEAEAAK/DiPk/+gp8YAACACYQnAAAAE7htBwBAAHOKrQrMIjzB5+2bfr3Xx2w0epPXxwQAVAyEJwAAAhgLxs3jJwYAAGACM08AAAQwX34wsK/iJwYAAGACM08AAAQwJw8GNo2ZJwAAABOYeQIAIICx5sk8fmIAAAAmMPMEAEAAc7LPk2mEp2JUq1lV076YZHUZfuHXC7/q4H9+VOo/vtCOzXusLgcAgDIjPBUjpFKIrr2xmdVl+I24btfqjw/20D+f/0DvTnzf6nIAAJIKeLadaczVwauCg4M0ZPydum/Kn60uBQCAMvHp8HT48GENHz682D4Oh0O5ubluzWkUeKlClNWAsX0IUADgA5xGkNeav/DpT3L69GnNnz+/2D4pKSmKiIhwa5naWarrO87ll0eZKCMCFACgIrJ0zdPHH39c7Pn9+/eXeI3k5GQlJSW5HesXcU+pxt//3cFS9YPnDBjbR5L0zhP/sLgSAAhMrHkyz9Lw1LdvX9lsNhmGUWQfm634P1S73S673e52LMgWXKrx927N1PYNO1kUbjECFACgIrH0tl10dLSWLl0qp9NZaNu6datHx3c6nZp892vanV7yDBc8i1t4AGAN1jyZZ+nMU3x8vNLT09WnT59Cz5c0K1Uesg+e0COdntL1f4xX4+tiVSX8Co+OF2iCKwXrtmHdFBoWWmJfZqAAABWBpeFp7NixysvLK/J848aNtXbtWo/XUfBrgb5avkVfLd/i8bEC0caP0zRx2VgCFADAL1ganrp06VLs+SpVqqhr165eqgaekrYqQ+P7TSVAAYAPKvCj22newk8MXnExQOWfL932EKyBAgD4KsITvIYABQC+xymb15q/IDzBq8oSoJ644SYPVwUAQOkRnuB1ZgPUA/HtCVAA4CEFRpDXmr/wn0+CCoUABQCoqAhPsAwBCgCs5zRsXmv+gvAESxGgAAAVDeEJliNAAYB1ChTkteYvLN0kE7jI7EaaD8S3lyRN+eoLj9Szb/r1Hrmur2k0epPXx7TiZ2vF5wTgv/wnBqLCYwYKALyPNU/mEZ7gUwhQAABfR3iCzyFAAYD3OBXkteYv/OeTwK8QoAAAvorwBJ91MUA5fv21VP0JUABgXoFh81rzF4Qn+LS0VRl64N8fEaAAAD6D8ASf98XBAwQoAPAQvm1nHuEJFQIBCgDgKwhPqDAIUAAAX0B4QoVCgAKA8uU0grzW/IX/fBIEDAIUAMBKhCdUSGUKUJ27eLgqAKh4CmTzWvMXloenc+fOacOGDfrPf/5zybnz589rwYIFxb7f4XAoNzfXrTmNAk+VCx9iOkC160CAAgBcNkvD0+7du9W8eXPddNNNatWqlbp27apjx465zufk5GjYsGHFXiMlJUURERFuLVM7PV06fAQBCgAuD1sVmGdpeHriiSd07bXX6vjx49q1a5eqVaumG264QYcOHSr1NZKTk5WTk+PWYtXMg1XD1xCgAADeZGl4+vrrr5WSkqLatWurcePG+te//qXExER16dJF+/fvL9U17Ha7wsPD3VqQLdjDlcPXEKAAoGz4tp15ln6Sc+fOKSQkxPXaZrNp5syZ6t27t7p27ardu3dbWB0qGgIUAMAbLA1PzZo1U1pa2iXHX3/9dfXp00e33367BVWhIiNAAYA5Ttm81vyFpeGpX79+eu+99wo99/rrr2vQoEEyDMPLVaGiI0ABADzJ0vCUnJysFStWFHn+jTfekNPp9GJF8BcEKAAonQLD5rVm1hdffKHevXsrJiZGNptNy5cvL7b/unXrZLPZLmlZWVlu/WbMmKEGDRooLCxMHTt21JYtW0zV5T+rt4D/QYACgIotLy9Pbdq00YwZM0y9b9euXTp27Jir1alTx3Vu8eLFSkpK0vjx47V161a1adNGiYmJOn78eKmvH1JyF6Diuhig3uzVR/aQkv/r/kC7DpKkKV9/6enSAMAn+PK34Hr27KmePXuafl+dOnVUvXr1Qs+98sorGjFihGsfyVmzZunf//635syZoyeffLJU1/fdnxhQTpiBAgDfUNhTQRwOR7mPExcXp+joaN1666366quvXMfz8/OVnp6uhIQE17GgoCAlJCRo48aNpb4+4QkBgQAFAIXz5g7jhT0VJCUlpdw+S3R0tGbNmqUPP/xQH374oa6++mrdfPPN2rp1qyTp5MmTKigoUGRkpNv7IiMjL1kXVRxu2yFgcAsPAKyVnJyspKQkt2N2u73crt+0aVM1bdrU9bpz587at2+fpk2bpnfffbfcxmHmCQGFGSgAcOfNfZ4KeypIeYanwnTo0EF79+6VJNWuXVvBwcHKzs5265Odna2oqKhSX5PwhIBDgAKAwJGRkaHo6GhJUmhoqOLj45Wamuo673Q6lZqaqk6dOpX6mty2Q0DiFh4A/MZZhv2XvOXs2bOuWSNJyszMVEZGhmrWrKl69eopOTlZR44c0YIFCyRJ06dPV2xsrFq2bKnz58/rnXfe0eeff67PPvvMdY2kpCQNHTpU7dq1U4cOHTR9+nTl5eW5vn1XGoQn+LxGozd55LpHtEkTEndq4rKxCg0LLbG/pwPU3jvf9Mh1i9NYD3h9TE/9eRZn3/TrvT6mFZ8T8DdpaWnq1q2b6/XF9VJDhw7VvHnzdOzYMR06dMh1Pj8/X4899piOHDmiK664Qq1bt9aaNWvcrjFgwACdOHFC48aNU1ZWluLi4rRy5cpLFpEXx2b44fNPbg3qb3UJqEDaJcaVOkBJ0ptpWzwSoCwJT0sIT55CeMLlWO1832tjDdp0v9fGeu/6t7w2liex5gkBL21Vhsb3m6r88/ml6s8aKAD+xGkEea35C//5JMBlIEABAEqL8AT8HwIUgEDkzU0y/QXhCfidiwGKbQwAAEUhPAH/I21VBvtAAQgY3twk018QnoBCsJEmAKAohCegCAQoAIGANU/mEZ6AYhCgAAD/i/AElIAABcCfMfNkHuEJKAUCFADgIsITUEoEKAD+iJkn8ywPTzt27NDcuXO1c+dOSdLOnTv10EMPafjw4fr8889LfL/D4VBubq5bcxoFni4bAYoABQCwNDytXLlScXFxGjNmjNq2bauVK1fqpptu0t69e3Xw4EH16NGjxACVkpKiiIgIt5apnV76BAhEBCgA/oSZJ/MsDU/PPfecxo4dq1OnTmnu3Lm66667NGLECK1evVqpqakaO3asJk+eXOw1kpOTlZOT49Zi1cxLnwCBigAFAIHL0vD0ww8/6J577pEk3Xnnnfr55591xx13uM4PHjxY3333XbHXsNvtCg8Pd2tBtmBPlg1IIkAB8A/sMG6e5WuebLbffphBQUEKCwtTRESE61y1atWUk5NjVWlAiQhQABB4LA1PDRo00J49e1yvN27cqHr16rleHzp0SNHR0VaUBpQaAQpARcaaJ/MsDU8PPfSQCgr++824a6+9ViEhIa7Xn376qW655RYrSgNMIUABQOAIKbmL5zz44IPFnn/xxRe9VAlw+S4GqDd79ZE9pOS/Wg+06yBJmvL1l54uDQBQjixf8wT4E2agAFQ03LYzj/AElDMCFAD4N8IT4AFlCVC2qmM8XBUAXIqZJ/MIT4CHmA1Qtqr3E6AAoAIgPAEeRIAC4OuYeTKP8AR4GAEKAPwL4QnwAgIUAF9lGDavNX9BeAK8hAAFAP7B0k0yAV/VaPQmj1z3iDZpQuJOTVw2VqFhoSX2t1W9X2/tjPPYRpp773zTI9ctTmM94PUxPfXnWZx906/3+phWfE5UfP70wF5vYeYJ8LK0VRka32+q8s/nl6o/+0ABgG8hPAEWIEAB8BV82848whNgEQIUAFRMhCfAQgQoAFbj23bmEZ4Ai10MUDwLDwAqBsIT4APSVmXwMGEAlmDNk3mEJ8BHlOVhwgQoAPA+whPgQwhQALyNNU/mEZ4AH0OAAgDfRngCfBABCoC3sObJPJ8LT4ZhWF0C4BMIUADgm3wuPNntdu3YscPqMgCfQIACAN9j2YOBk5KSCj1eUFCgyZMnq1atWpKkV155pdjrOBwOORwOt2NOo0BBtuDyKRSw2MUA9WavPrKHlPxX9oF2HSTJYw8TBuBfuOFjnmXhafr06WrTpo2qV6/udtwwDO3YsUNVqlSRzVby/dGUlBRNnDjR7VismquRWpZnuYClCFAA4Dssu2334osvKicnR88++6zWrl3rasHBwZo3b57Wrl2rzz//vMTrJCcnKycnx63FqpkXPgHgXdzCA+AJTtm81vyFZeHpySef1OLFi/XQQw9pzJgxunDhQpmuY7fbFR4e7ta4ZQd/RYACAOtZumC8ffv2Sk9P14kTJ9SuXTtt3769VLfqgEBGgAJQntgk0zzLv21XtWpVzZ8/X8nJyUpISFBBQYHVJQE+jwAFANaxPDxdNHDgQKWlpWnp0qWqX7++1eUAPo8ABaA8sEmmeT4TniTpqquuUp8+fVSlShWrSwEqBAIUAHifT4UnAOYRoABcDsPwXvMXhCfADxCgAMB7CE+AnyhLgLJVHePhqgD4Or5tZx7hCfAjZgOUrer9BCgAMInwBPgZAhQAM5h5Mo/wBPghAhQAeA7hCfBTBCgApcE+T+YRngA/RoACgPIXYnUBAH7TaPQmj1z3iDZpQuJOTVw2VqFhoSX2t1W9X2/tjNOUr7/0SD1773zTI9ctTmM94PUxPfXnWZx906/36nhWfEaUP1/ef+mLL77Q1KlTlZ6ermPHjmnZsmXq27dvkf2XLl2qmTNnKiMjQw6HQy1bttSECROUmJjo6jNhwgRNnDjR7X1NmzbVzp07S10XM09AAEhblaHx/aYq/3x+qfqzDxQAX5CXl6c2bdpoxowZper/xRdf6NZbb9WKFSuUnp6ubt26qXfv3tq2bZtbv5YtW+rYsWOutmHDBlN1MfMEBIiLAaq0M1APtOsgSR6bgQKAkvTs2VM9e/Ysdf/p06e7vX7xxRf10Ucf6V//+pfatm3rOh4SEqKoqKgy18XMExBAmIEC8L/8easCp9Opn3/+WTVr1nQ7vmfPHsXExKhhw4YaPHiwDh06ZOq6hCcgwBCgAFjF4XAoNzfXrTkcDo+N97e//U1nz57VnXfe6TrWsWNHzZs3TytXrtTMmTOVmZmpLl266Oeffy71dQlPQAC6GKB4Fh4Ab848paSkKCIiwq2lpKR45HMtXLhQEydO1JIlS1SnTh3X8Z49e6p///5q3bq1EhMTtWLFCp05c0ZLliwp9bUJT0CASluVwcOEAXhVcnKycnJy3FpycnK5j7No0SLdd999WrJkiRISEortW716dV1zzTXau3dvqa9PeAICWFkeJkyAAvyL4cVmt9sVHh7u1ux2e7l+nvfee0/Dhg3Te++9p169epXY/+zZs9q3b5+io6NLPQbhCQhwBCgAvurs2bPKyMhQRkaGJCkzM1MZGRmuBd7JyckaMmSIq//ChQs1ZMgQvfzyy+rYsaOysrKUlZWlnJwcV58xY8Zo/fr1OnDggL7++mv169dPwcHBGjRoUKnrIjwBIEABAcyXv22Xlpamtm3burYZSEpKUtu2bTVu3DhJ0rFjx9y+KffWW2/p119/1ciRIxUdHe1qo0aNcvX58ccfNWjQIDVt2lR33nmnatWqpU2bNunKK68sdV3s8wRA0n8D1Ju9+sgeUvKvBvaBAuBpN998s4xitkCfN2+e2+t169aVeM1FixZdZlXMPAH4HWaggADkzUVPfoLwBMANAQoAiudTt+3y8vK0ZMkS7d27V9HR0Ro0aJBq1apV7HscDsclG2w5jQIF2YI9WSrg17iFBwQOK3b+rugsnXlq0aKFTp8+LUk6fPiwrr32Wj366KNavXq1xo8frxYtWigzM7PYaxS24VamSv9kZACFYwYKAApnaXjauXOnfv2/X8zJycmKiYnRwYMHtWXLFh08eFCtW7fW008/Xew1CttwK1bNvFE+4PcIUID/MwzvNX/hM2ueNm7cqAkTJigiIkKSVLVqVU2cOFEbNmwo9n2FbbjFLTug/BCgAMCd5eHJZvvtXuv58+cv2d2zbt26OnHihBVlAfgdAhTgv3x5nydfZXl46t69u6677jrl5uZq165dbucOHjxY4oJxAN5BgAKA31j6bbvx48e7va5atarb63/961/q0oVfvoCv4Ft4gB/yoxkhb/Gp8PS/pk6d6qVKAJQWAQpAoLP8th2AiodbeID/4Nt25hGeAJQJAQpAoCI8ASizsgQoW9UxHq4KADyL8ATgspgNULaq9xOgAF/Cg4FNIzwBuGwEKACBhPAEoFwQoICKiU0yzSM8ASg3BCgAgYDwBKBcEaCACoY1T6ZZukkmAGs1Gr3JI9c9ok2akLhTE5eNVWhYaIn9bVXv11s74zy2kebeO9/0yHWL01gPeH1MT/15FmXf9Ou9Op7k/c8IFIaZJwAekbYqQ+P7TVX++fxS9WcfKMAarHkyj/AEwGMIUAD8EeEJgEcRoAAfx5on0whPADyOAAXAnxCeAHjFxQDFs/AAX2PzYvMPhCcAXpO2KoOHCQOo8AhPALyqLA8TJkABHsSaJ9MITwC8jgAFoCIjPAGwBAEK8BHMPJlGeAJgGQIUgIqI8ATAUgQowGKGzXvNTxCeAFiOAAWgIrE0PG3dulWZmZmu1++++65uuOEGXX311brxxhu1aNGiEq/hcDiUm5vr1pxGgSfLBuABBCgAFYWl4WnYsGHat2+fJOmdd97RAw88oHbt2unpp59W+/btNWLECM2ZM6fYa6SkpCgiIsKtZWqnN8oHUM4IUID3GYb3mr+wNDzt2bNHTZo0kSS98cYbevXVV/Xqq6/qwQcf1LRp0/Tmm2/q5ZdfLvYaycnJysnJcWuxauaN8gF4AAEKgK+zNDxdccUVOnnypCTpyJEj6tChg9v5jh07ut3WK4zdbld4eLhbC7IFe6xmAJ5HgAK8iK0KTLM0PPXs2VMzZ86UJHXt2lUffPCB2/klS5aocePGVpQGwGIEKAC+KsTKwadMmaIbbrhBXbt2Vbt27fTyyy9r3bp1at68uXbt2qVNmzZp2bJlVpYIwEIXA9SbvfrIHlLyr6sH2v02ez3l6y89XRrgP/xoCwFvsXTmKSYmRtu2bVOnTp20cuVKGYahLVu26LPPPtNVV12lr776Sn/4wx+sLBGAxZiBAuBrLJ15kqTq1atr8uTJmjx5stWlAPBRzEABnmPzo7VI3sImmQAqBGagAPiKMoWnP/zhD1qyZIkcDkd51wMARSJAAR7At+1MK1N4WrlypQYNGqSoqCg98MAD+uqrr8q7LgAoVFkClK3qGA9XBSCQlCk89evXT5UrV1ZOTo7efvtt3XTTTWrcuLEmTZqkAwcOlHOJAODObICyVb2fAAUUhQcDm1am8PThhx/qxIkTev/99zVw4EBVrVpV+/fv14QJE9SoUSN169ZNK1asKO9aAcCFAAXAKmVeMF65cmX9v//3/zRz5kxNmDBBVapUkSQZhqH169erd+/emjJlSrkVCgD/iwAFlAPWPJlW5vC0Zs0a3XXXXYqOjtaYMWOUl5en0NBQ3X333UpJSVHlypU1bdq08qwVAC5BgALgbWXa56lBgwY6fPiwjP97RHKjRo30wAMPaPjw4apZs6Yk6ZtvvmF3cABeYXYfKFvV+yVJxtm/ebo0wPf50YyQt5QpPB06dEjBwcHq1auXHnroISUmJl7SZ/DgwWrVqtVlFwjAvzQavckj1z2iTZqQuFMTl41VaFhoif1tVe/XWzvj/GojzX3Tr/fqeJ76syyOtz+jZM3nhG8r0227Z555RgcOHNDy5csLDU7Sb9/IGz9+/GUVBwBmpK3K0Ph+U5V/Pr9U/dkHChBrnsrAdHi6cOGCXnjhBV133XWu23YA4CsIUAA8zXR4qlSpkqKjo3XllVfKZvOfPRsA+A8CFGAC+zyZVqbbdqNGjdKuXbv02WeflXc9AFAuCFAAPKVMC8ZXrFih4OBg9ezZU02bNlVkZKRrFspmsyk1NbVciwSAsrgYoCb864lSfQvvgXYdJMmvFpEDKH9lCk/r1693/eedO3dq586drtfcygPgS9JWZZjaxoAAhUBjY/myaWUKT0OGDCEkAagwzO4DRYACUJwyhad58+aVcxkA4FkEKKAIzDyZVubHs0jS2rVrlZKSolmzZik3N1eHDh2Sw+Eor9oAoFyZfZQLi8gBa33xxRfq3bu3YmJiZLPZtHz58hLfs27dOl133XWy2+1q3LhxoRM+M2bMUIMGDRQWFqaOHTtqy5YtpuoqU3g6d+6cbr31ViUkJOiZZ57RggULtGbNGsXGxmr69OlluSQAeAUBCqg48vLy1KZNG82YMaNU/TMzM9WrVy9169ZNGRkZGj16tO677z6tWrXK1Wfx4sVKSkrS+PHjtXXrVrVp00aJiYk6fvx4qesq8w7jqampMgzDtVFmr169FBoaqn//+99luSQAeA0BCqgYevbsqeeff179+vUrVf9Zs2YpNjZWL7/8spo3b66HH35Yd9xxh6ZNm+bq88orr2jEiBEaNmyYWrRooVmzZumKK67QnDlzSl1XmcLTkiVLVLlyZWVkZLiO2e121a9fX7t37y71df7617/qyy9ZTwDA+whQwG9shveap23cuFEJCQluxxITE7Vx40ZJUn5+vtLT0936BAUFKSEhwdWnNMoUno4fP65rrrlGrVu3djteqVIlnTlzptTXmTFjhm6++WZdc801mjJlirKyskzX4nA4lJub69acRoHp6wAIPAQowLsK+ze7PNdKZ2VlKTIy0u1YZGSkcnNzde7cOZ08eVIFBQWF9jGTQcoUnqKjo7V7927t27fPdSwjI0M7duxQTEyMqWt99tln+sMf/qC//e1vqlevnvr06aNPPvlETqezVO9PSUlRRESEW8vUzpLfCAAiQAHefDxLYf9mp6SkWP0TMK1M4alPnz46d+6crr32WtlsNm3btk0dOnSQYRjq06ePqWu1atVK06dP19GjR/WPf/xDDodDffv21dVXX62nn35ae/fuLfb9ycnJysnJcWuxalaWjwUgQBGgAO8o7N/s5OTkcrt+VFSUsrOz3Y5lZ2crPDxclStXVu3atRUcHFxon6ioqFKPU6bwNGnSJLVp00YOh0OGYcjhcOjXX39Vq1atNHHixLJcUpUqVdKdd96plStXav/+/RoxYoT++c9/qmnTpsW+z263Kzw83K0F2YLLVAOAwEWAQsAyvNcK+zfbbreX20fp1KnTJY+IW716tTp16iRJCg0NVXx8vFsfp9Op1NRUV5/SKFN4Cg8P15YtWzR37lz95S9/0V/+8hfNnTtXW7ZsUXh4eFku6aZevXqaMGGCMjMztXLlysu+HgCUBgEK8C1nz55VRkaG6wtqmZmZysjI0KFDhyT9NpM1ZMgQV/8HH3xQ+/fv1+OPP66dO3fqjTfe0JIlS/Too4+6+iQlJentt9/W/PnztWPHDj300EPKy8vTsGHDSl1XmXYYl36bKRo6dKiGDh1a1kuofv36Cg4uepbIZrPp1ltvLfP1AcAsdiJHwPHhHcbT0tLUrVs31+ukpCRJ0tChQzVv3jwdO3bMFaQkKTY2Vv/+97/16KOP6tVXX9VVV12ld955R4mJia4+AwYM0IkTJzRu3DhlZWUpLi5OK1euvGQReXFsxsWNmkwYPnx40Re02TR79myzlyxXtwb1t3R8AL5l3/TrTb/npvoNSh2gJOnNtC0BF6Aajd7k9THL8md5uaz4nKud73ttrIbTXvHaWPsfTfLaWJ5U5mfbFfZgYMMwfCI8AcDlYgYKgcIb+y/5mzKFp5tuusktPOXk5Oj777+XYRjq0oX7/wD8AwEKQGHKFJ7WrVt3ybGdO3eqc+fO+uMf/3i5NQGAzyBAwe8x82Ramb5tV5hmzZopLi5Of//738vrkgDgE/gWHoDfK9PM04IFC9xeFxQUaPfu3fryyy91xRVXlEthAOBLmIECcFGZwtM999xT5ILxrl27XnZRAOCLCFDwS9y2M63Mt+0Mw3BrV155pQYNGqS33367POsDAJ/CLTwAZZp5uvjQ3pMnTyo0NLRcdhUHgIqCGSj4E7YqMM90eDp79qyefvppLVy4UKdPn5YkRUdHa8SIEXrqqadUqVIlSdLPP/+satWqlW+1AFAGntjk8Ig2aULiTk1cNlahYaEl9vfHABUoG1Za8Tnh20zdtjt37py6du2q119/XadOnXLdsjt69Kiee+453XbbbXI6nTp06JBuuOEGT9UMAD4hbVWGxvebqvzz+aXqzy08+CTD5r3mJ0yFp1deeUXbtm2TYRiKjY1Vnz591K9fPzVs2FCGYWjdunV6+OGH1alTJ/3www+eqhkAfAYBCgg8psLTBx98IJvNpsmTJ2vv3r1atmyZPvzwQ+3Zs0cvvviiDMPQm2++qWPHjunBBx/0VM0A4FMIUKjQDC82P2EqPO3du1cxMTF6/PHH3bYqsNlsevLJJxUTEyNJevvttzVjxozyrRQAfBgBCggcpsJTQUGBQkOLXhgZFhamsLAw3XvvvZddGABUNAQoVEQ2w3vNX5gKT7GxsTpw4IDef//9S859/PHH2r9/v2JjY8utOACoaC4GKPaBAvyXqa0Kbr/9du3YsUMDBw7UrFmzFBcXp6CgIH333XdKTU2VzWZT7969PVUrAFQIaasy2AcKFYcfzQh5i6nw9MQTT2jRokU6ePCg1q1bp3Xr1rnOGYahq6++WmPHji3vGgGgwmEjTcB/mbptV716dX399de6/fbbZbPZXPs8SVKvXr20YcMG1axZ0yOFAkBFw6NcUBGw5sk80zuMR0dHa/ny5crJydHu3bslSY0bN1aNGjXKvTgAqOiYgQL8T5kfDBwREaH27durffv2BCcAKAYzUPBp7PNkWpnDEwCg9AhQgP+wPDy9/vrrGjJkiBYtWiRJevfdd9WiRQs1a9ZMTz31lH4t5S8aAPB1BCj4JGaeTDO95qk8Pf/883rppZfUo0cPPfroozp48KCmTp2qRx99VEFBQZo2bZoqVaqkiRMnFnkNh8Mhh8PhdsxpFCjIFuzp8gHANNZAARWfpeFp3rx5mjdvnv70pz/p22+/VXx8vObPn6/BgwdLkpo1a6bHH3+82PCUkpJyyflYNVcjtfRo7QBQVgQo+BJ/+hact1h62+7o0aNq166dJKlNmzYKCgpSXFyc6/x1112no0ePFnuN5ORk5eTkuLVYNfNk2QBw2biFB1RcloanqKgo/ec//5Ek7dmzRwUFBa7XkvTDDz+oTp06xV7DbrcrPDzcrXHLDkBFQIACKiZLb9sNHjxYQ4YMUZ8+fZSamqrHH39cY8aM0alTp2Sz2fTCCy/ojjvusLJEAPAobuEBFY+l4WnixImqXLmyNm7cqBEjRujJJ59UmzZt9Pjjj+uXX35R7969NWnSJCtLBACPI0ABFYul4SkoKEhPPfWU27GBAwdq4MCBFlUEANYgQMEyLBg3zfJ9ngAAv2ENFFAxEJ4AwIcQoOBtPBjYPMITAPgYAhTg2whPAOCDCFDwGh7PYhrhCQB8FAEK8E2EJwDwYQQoeBwzT6YRngDAxxGgAN9CeAKACoAABU/h23bmWbpJJgD4q0ajN5X7NY9okyYk7tTEZWMVGhZaYn820iwfnvizLNEj3h8SpcfMEwBUIGmrMjS+31Tln88vVX9moFAi1jyZRngCgAqGAAVYi/AEABUQAQrlhTVP5hGeAKCCIkAB1iA8AUAFRoDCZWPNk2mEJwCo4C4GKLYxALyD8AQAfiBtVQb7QAFeQngCAD/BRpooE27bmUZ4AgA/QoACPI/wBAB+hgAFM9iqwDzCEwD4IQIU4DmWhqdjx45p3LhxuuWWW9S8eXO1bNlSvXv31uzZs1VQUGBlaQBQ4RGgUCqseTLNsvCUlpam5s2ba8WKFbpw4YL27Nmj+Ph4ValSRWPGjNFNN92kn3/+2aryAMAvEKCA8mdZeBo9erQeffRRpaWl6csvv9S8efO0e/duLVq0SPv379cvv/yiZ555psTrOBwO5ebmujWnwawVAFxEgEKxmHkyzbLwtHXrVt19992u13fddZe2bt2q7Oxs1ahRQy+99JI++OCDEq+TkpKiiIgIt5apnZ4sHQAqHAIUUH4sC0916tTRsWPHXK+zs7P166+/Kjw8XJLUpEkTnT59usTrJCcnKycnx63FqpnH6gaAiooAhcLwbTvzLAtPffv21YMPPqiVK1dq7dq1Gjx4sLp27arKlStLknbt2qW6deuWeB273a7w8HC3FmQL9nT5AFAhEaCAy2dZeHr++efVokUL9e7dW927d5fD4dCcOXNc5202m1JSUqwqDwD8FgEKbljzZFqIVQNXrVpVixcv1vnz5/Xrr7+qatWqbud79OhhUWUA4P8uBqg3e/WRPaTkfwoeaNdBkjTl6y89XRrg8yzfJDMsLOyS4AQA8DxmoCD5/pqnGTNmqEGDBgoLC1PHjh21ZcuWIvvefPPNstlsl7RevXq5+txzzz2XnL/ttttM1WR5eAIAWIcABV+2ePFiJSUlafz48dq6davatGmjxMREHT9+vND+S5cu1bFjx1xt+/btCg4OVv/+/d363XbbbW793nvvPVN1EZ4AIMARoAKcD695euWVVzRixAgNGzZMLVq00KxZs3TFFVe4rZH+vZo1ayoqKsrVVq9erSuuuOKS8GS329361ahRw1RdhCcAAAEKXlHYxtYOh6PQvvn5+UpPT1dCQoLrWFBQkBISErRx48ZSjTd79mwNHDhQVapUcTu+bt061alTR02bNtVDDz2kU6dOmfochCcAgCQCVMDy4sxTYRtbF/XN+pMnT6qgoECRkZFuxyMjI5WVlVXix9qyZYu2b9+u++67z+34bbfdpgULFig1NVVTpkzR+vXr1bNnT1PP1LXs23YAAN/Dt/DgScnJyUpKSnI7ZrfbPTLW7Nmz1apVK3Xo0MHt+MCBA13/uVWrVmrdurUaNWqkdevWqXv37qW6NjNPAAA3zEAFFpsXW2EbWxcVnmrXrq3g4GBlZ2e7Hc/OzlZUVFSxnykvL0+LFi3SvffeW+Lnb9iwoWrXrq29e/eW2PciwhMA4BIEKFgtNDRU8fHxSk1NdR1zOp1KTU1Vp06din3v+++/L4fDoT//+c8ljvPjjz/q1KlTio6OLnVthCcAQKEIULBaUlKS3n77bc2fP187duzQQw89pLy8PA0bNkySNGTIECUnJ1/yvtmzZ6tv376qVauW2/GzZ89q7Nix2rRpkw4cOKDU1FT16dNHjRs3VmJiYqnrYs0TAHjAvunXe33MRqM3lfs1j2iTJiTu1MRlYxUaFlpif0+vgfKXn6tP8eHHpgwYMEAnTpzQuHHjlJWVpbi4OK1cudK1iPzQoUMKCnKfB9q1a5c2bNigzz777JLrBQcH67vvvtP8+fN15swZxcTEqEePHpo0aZKptVc2wzB8+MdWNrcG9S+5EwB4kL/9I98uMa7UAUqS3kzb4jeLyK0IT6ud73ttrNaPTvPaWN9Ne9RrY3kSt+0AACVKW5Wh8f2mKv98fqn6cwuv4vD1x7P4IsITAKBUCFDAbwhPAIBSI0D5IR9+PIuvIjwBAEy5GKD4Fh4CFeEJAGBa2qoMtjHwF8w8mUZ4AgCUCftAIVARngAAZUaAqvj4tp15hCcAwGUhQCHQWL7DeH5+vpYvX66NGzcqKytLkhQVFaXOnTurT58+Cg0t3YZsAADrXAxQb/bqI3tIyf+0eHoncpjgRzNC3mLpzNPevXvVvHlzDR06VNu2bZPT6ZTT6dS2bds0ZMgQtWzZ0tRTjgEA1mEGCoHC0pmnhx56SK1atdK2bdsUHh7udi43N1dDhgzRyJEjtWrVKosqBACYwQxUxeNPa5G8xdKZp6+++krPP//8JcFJksLDwzVp0iR9+SV/oQCgImEGCv7O0vBUvXp1HThwoMjzBw4cUPXq1Yu9hsPhUG5urltzGgXlWygAwBQCVAXCPk+mWRqe7rvvPg0ZMkTTpk3Td999p+zsbGVnZ+u7777TtGnTdM899+j+++8v9hopKSmKiIhwa5na6aVPAAAoCgEK/srSNU/PPfecqlSpoqlTp+qxxx6TzWaTJBmGoaioKD3xxBN6/PHHi71GcnKykpKS3I71i7jHUyUDAExgDZTvY82TeZZvVfDEE0/oiSeeUGZmpttWBbGxsaV6v91ul91udzsWZAsu9zoBAGVDgIK/8ZlNMmNjY9WpUyd16tTJFZwOHz6s4cOHW1wZAOBycQsP/sRnwlNhTp8+rfnz51tdBgCgHBCgfBQLxk2z9Lbdxx9/XOz5/fv3e6kSAIA3cAsP/sDS8NS3b1/ZbDYZRtFx9OIicgCAfyBA+Rg/mhHyFktv20VHR2vp0qWux7L8b9u6dauV5QEAPIRbeKjILA1P8fHxSk9PL/J8SbNSAICKiwDlG2yG95q/sDQ8jR07Vp07dy7yfOPGjbV27VovVgQA8CYCFCoiS8NTly5ddNtttxV5vkqVKuratasXKwIAeBsBymJ82840n96qAAAQGAhQqEgITwAAn0CAsobNMLzW/AXhCQDgMwhQqAgsf7YdAPijRqM3eX3MfdOv9+p4nvqMR7RJExJ3auKysQoNCy2xv6f3gfL2z9Xr/GdCyGuYeQIA+Jy0VRka32+q8s/nl6o/M1DwJsITAMAnEaC8g32ezCM8AQB8FgEKvojwBADwaQQoD2OfJ9MITwAAn3cxQPEtPPgCwhMAoEJIW5XBNgYewJon8whPAIAKg32g4AsITwCACoUAVc5Y82Qa4QkAUOEQoGAlnw5P2dnZeu6556wuAwDggwhQsIpPh6esrCxNnDjR6jIAAD6qLAHqcQKUGxaMm2fps+2+++67Ys/v2rXLS5UAACqqiwHqzV59ZA8p+Z+1B9t1UNqxI/o8c78XqoM/sjQ8xcXFyWazyTAujaMXj9tsNgsqAwBUJGYD1CMdOhGeLvKjGSFvsTQ81axZUy+99JK6d+9e6PkffvhBvXv3LvYaDodDDofD7ZjTKFCQLbjc6gQA+D4zAapp7doKCQrSr06nl6qDP7E0PMXHx+vo0aOqX79+oefPnDlT6KzU76WkpFyyLipWzdVILcutTgBAxVDaAGUPDlElwpMk/1qL5C2WLhh/8MEH1aBBgyLP16tXT3Pnzi32GsnJycrJyXFrsWpWzpUCACqKLw4e0MT1n1tdBvyYpTNP/fr1K/Z8jRo1NHTo0GL72O122e12t2PcsgOAwJZ19qzVJVQcJdzhwaV8equCw4cPa/jw4VaXAQAA4OLT4en06dOaP3++1WUAAOC32OfJPEtv23388cfFnt+/n6+RAgAA32JpeOrbt2+R+zxdxD5PAAB4kB/NCHmLpbftoqOjtXTpUjmdzkLb1q1brSwPAADgEpaGp/j4eKWnpxd5vqRZKQAAcHlsTu81f2HpbbuxY8cqLy+vyPONGzfW2rVrvVgRAABA8SwNT126FP9k6ypVqqhr165eqgYAgADEDR7TfHqrAgAAAF9j6cwTAACwlj/tv+QtzDwBAACYwMwTAPiJRqM3eXW8fdOv9+p4Uuk/Y3RPh9Sn+D4NH/9G539xlHgtKz4n/mvGjBmaOnWqsrKy1KZNG/39739Xhw4dCu07b948DRs2zO2Y3W7X+fPnXa8Nw9D48eP19ttv68yZM7rhhhs0c+ZMNWnSpNQ1MfMEAEAgMwzvNZMWL16spKQkjR8/Xlu3blWbNm2UmJio48ePF/me8PBwHTt2zNUOHjzodv6ll17Sa6+9plmzZmnz5s2qUqWKEhMT3QJWSQhPAADAJ73yyisaMWKEhg0bphYtWmjWrFm64oorNGfOnCLfY7PZFBUV5WqRkZGuc4ZhaPr06XrmmWfUp08ftW7dWgsWLNDRo0e1fPnyUtdFeAIAIID56oOB8/PzlZ6eroSEBNexoKAgJSQkaOPGjUW+7+zZs6pfv76uvvpq9enTRz/88IPrXGZmprKystyuGRERoY4dOxZ7zf9FeAIAAF7hcDiUm5vr1hyOwtednTx5UgUFBW4zR5IUGRmprKysQt/TtGlTzZkzRx999JH+8Y9/yOl0qnPnzvrxxx8lyfU+M9csDOEJAIBAZnivpaSkKCIiwq2lpKSU20fp1KmThgwZori4OHXt2lVLly7VlVdeqTfffLPcxpD4th0AAPCS5ORkJSUluR2z2+2F9q1du7aCg4OVnZ3tdjw7O1tRUVGlGq9SpUpq27at9u7dK0mu92VnZys6OtrtmnFxcaX9GMw8AQAQyLy55slutys8PNytFRWeQkNDFR8fr9TUVNcxp9Op1NRUderUqVSfraCgQN9//70rKMXGxioqKsrtmrm5udq8eXOprykx8wQAAHxUUlKShg4dqnbt2qlDhw6aPn268vLyXHs5DRkyRHXr1nXd+nvuued0/fXXq3Hjxjpz5oymTp2qgwcP6r777pP02zfxRo8ereeff15NmjRRbGysnn32WcXExKhv376lrssnwtOPP/6o6tWrq2rVqm7HL1y4oI0bN+qmm26yqDIAAPxcGfZf8pYBAwboxIkTGjdunLKyshQXF6eVK1e6FnwfOnRIQUH/vYn2008/acSIEcrKylKNGjUUHx+vr7/+Wi1atHD1efzxx5WXl6f7779fZ86c0Y033qiVK1cqLCys1HXZDMO6n9qxY8fUp08fpaeny2az6a677tIbb7zhClHZ2dmKiYlRQUGBqeveGtTfE+UCAH7Hl3cY79CzrV7491PF9uld9c8+u8P4/kce89pYXfpO9dpYXy4f67WxPMnSNU9PPvmkgoKCtHnzZq1cuVL/+c9/1K1bN/3000+uPhZmOwAA/J6v7vPkyywNT2vWrNFrr72mdu3aKSEhQV999ZWio6N1yy236PTp05J+uz8JAEC5498XlJGl4SknJ0c1atRwvbbb7Vq6dKkaNGigbt26FfvsGgAALscDLw/hf6BLXt3nyV9YGp4aNmyo7777zu1YSEiI3n//fTVs2FB//OMfS7xGYbuVOg1za6QAAP7F6Sz5X+o/3n+rHpk5ggAF0ywNTz179tRbb711yfGLASouLq7ENU+F7VaaqZ2eKhkAUAH8uOtoqfoRoFjzVBaWhqcXXnhB77//fqHnQkJC9OGHHyozM7PYayQnJysnJ8etxaqZJ8oFAFQQWQeOa3favlL1JUDBLEvDU0hIiMLDw4s8f+zYMU2cOLHYaxS2W2mQLbi8SwUAVDBTh83QubPnS9U3oAOU0/Be8xM+/XiW06dPa/78+VaXAQCogA78cFjJPV8gQKHcWbrD+Mcff1zs+f3793upEgCAP/rhq51K7vmCUj59WpWrlryD9B/vv1WS9NpDbwfOPoMB8jHLk6XhqW/fvrLZbMX+F5T/BQAAuBwEKJQ3S2/bRUdHa+nSpXI6nYW2rVu3WlkeAMBPXAxQ3MJDebA0PMXHxys9Pb3I8yXNSgEAUFplDlAerstqbFVgnqXhaezYsercuXOR5xs3bqy1a9d6sSIAgD8rS4Ca1C3B7wMUzLE0PHXp0kW33XZbkeerVKmirl27erEiAIC/Mxug7mrVxr8DlGF4r/kJn96qAAAATyBA4XIQngAAAYkA9RvWPJlHeAIABCwCFMqC8AQACGgBH6AMLzY/YekmmQCAiqvR6E1eH3Pf9Os9c11JRz9drrl9/qQqoaEl9r+rVRtJ0rNr1/hTJkApMfMEAICktGNHNOyjpcrLzy9Vf3+ZgbIZhteavyA8AQDwfwI1QMEcwhMAAL8TcAHK6cXmJwhPAAD8j4ALUDCF8AQAQCECJUCx5sk8whMAAEUIlAAFcwhPAAAUw+8DFPs8mUZ4AgCgBH4foGCK5eHp1KlTWrt2rU6fPi1JOnnypKZMmaLnnntOO3bssLg6AAB+47cByjC81/yEpeFpy5YtatSokbp3767GjRsrPT1dHTp00OzZs7VgwQLFx8dr69atVpYIAICL3wYomGJpeHr66afVv39/5eTk6KmnnlLfvn3VvXt37d69W3v37tXAgQM1adIkK0sEAMBNWQLUxJu7e7gqeJOl4Sk9PV1JSUmqVq2aRo0apaNHj2rEiBGu8w8//LC++eYbCysEAOBSZgPUn1vH6bZGTTxcVdnYDO81f2FpeMrPz1flypUlSZUqVdIVV1yh2rVru87Xrl1bp06dsqo8AACKZDZA3RN3nYcrgrdYGp6uvvpq7d+/3/V60aJFio6Odr0+duyYW5gqjMPhUG5urltzGgUeqxkAgIvMBKjmta/0QkVlwIJx0ywNTwMHDtTx48ddr3v16uWaiZKkjz/+WB06dCj2GikpKYqIiHBrmdrpsZoBAPi90gYoe0iIlyqCp9kMw3ej4C+//KLg4GDZ7fYi+zgcDjkcDrdj/SLuUZAt2NPlAQC8bN/0660uoUiD/++bdUXJLyhQsxnTS3Wt/Y88Vk5VlezWG1/w2lirNzzttbE8yfJ9nopz6tQpPfTQQ8X2sdvtCg8Pd2sEJwCAt53Nd5TcCX7Bp8PT6dOnNX/+fKvLAADAf7HmyTRLb8B+/PHHxZ7//WJyAAAAX2BpeOrbt69sNpuKW3Zls7EvKwAAHuM/E0JeY+ltu+joaC1dulROp7PQxqNZAACAr7E0PMXHxys9Pb3I8yXNSgEAgMtjMwyvNX9h6W27sWPHKi8vr8jzjRs31tq1a71YEQAAQPEsDU9dunQp9nyVKlXUtWtXL1UDAEAA8qMZIW/x6a0KAAAAfA17xQMAEMicVhdQ8TDzBAAAYAIzTwAABDB/+hactxCeAAAVRqPRm7w+5qqj35auY1hvSb2KPF0pqEB773yzlKN678HAMI/wBABAIGPmyTTWPAEAAJhAeAIAADCB23YAAAQybtuZxswTAACACcw8AQAQyNgk0zRmngAAAExg5gkAgADGJpnm+eTMU8OGDbVnzx6rywAAALiEpTNPr732WqHHDx06pLlz5yoqKkqS9Mgjj3izLAAAAoePzzzNmDFDU6dOVVZWltq0aaO///3v6tChQ6F93377bS1YsEDbt2+XJMXHx+vFF19063/PPfdo/vz5bu9LTEzUypUrS12TpeFp9OjRqlu3rkJC3MtwOp1asGCBKlWqJJvNRngCACAALV68WElJSZo1a5Y6duyo6dOnKzExUbt27VKdOnUu6b9u3ToNGjRInTt3VlhYmKZMmaIePXrohx9+UN26dV39brvtNs2dO9f12m63m6rL0tt2999/v2rXrq0VK1YoMzPT1YKDg/XZZ58pMzNT+/fvt7JEAAD8m2F4r5n0yiuvaMSIERo2bJhatGihWbNm6YorrtCcOXMK7f/Pf/5Tf/nLXxQXF6dmzZrpnXfekdPpVGpqqls/u92uqKgoV6tRo4apuiwNT7NmzdK4ceOUmJio119/3cpSAACAhzkcDuXm5ro1h8NRaN/8/Hylp6crISHBdSwoKEgJCQnauHFjqcb75ZdfdOHCBdWsWdPt+Lp161SnTh01bdpUDz30kE6dOmXqc1i+YLxfv37auHGjli1bpp49eyorK8vU+wv7g3AaBR6qFgAAP+PFmaeUlBRFRES4tZSUlELLOnnypAoKChQZGel2PDIystRZ4YknnlBMTIxbALvtttu0YMECpaamasqUKVq/fr169uypgoLSZwef2Kqgbt26WrNmjSZPnqy2bdvKMDG1l5KSookTJ7odi1VzNVLL8i4TAABchuTkZCUlJbkdM7veqLQmT56sRYsWad26dQoLC3MdHzhwoOs/t2rVSq1bt1ajRo20bt06de/evVTXtnzm6SKbzabk5GR98sknevnllxUdHV2q9yUnJysnJ8etxaqZh6sFAMBPOL3X7Ha7wsPD3VpR4al27doKDg5Wdna22/Hs7GzXt/GL8re//U2TJ0/WZ599ptatWxfbt2HDhqpdu7b27t1bbL/f85nwdFF8fLxGjRqlGjVq6PDhwxo+fHix/Qv7gwiyBXupWgAA4AmhoaGKj493W+x9cfF3p06dinzfSy+9pEmTJmnlypVq165dieP8+OOPOnXqVKknbSQfuW1XlNOnT2v+/PlFrqoHAMBnOLNlnP+8mA6+uR7Xl3cYT0pK0tChQ9WuXTt16NBB06dPV15enoYNGyZJGjJkiOrWretaNzVlyhSNGzdOCxcuVIMGDVxro6pWraqqVavq7Nmzmjhxov7f//t/ioqK0r59+/T444+rcePGSkxMLHVdloanjz/+uNjzbFMAAKgw8rfIyN9idRV+ZcCAATpx4oTGjRunrKwsxcXFaeXKla5F5IcOHVJQ0H9vos2cOVP5+fm644473K4zfvx4TZgwQcHBwfruu+80f/58nTlzRjExMerRo4cmTZpkau2VzTCzOrucBQUFyWazFbtA3GazmVoBL0m3BvW/3NIAAJAkrTr6rdfHDIra7bWxejZP9tpYn+4o/Jt1FY2la56io6O1dOlSOZ3OQtvWrVutLA8AAOASloan+Ph4paenF3m+pFkpAAAAb7N0zdPYsWOVl5dX5PnGjRtr7dq1XqwIAIAA42SSwixLw1OXLl2KPV+lShV17drVS9UAAACUzKe3KgAAAB7G8hjTfG6TTAAAAF/GzBMAAIGMmSfTmHkCAAAwwS9nnlY737e6BAAAKgZmnkxj5gkAAMAEv5x5AgAApcQ+T6Yx8wQAAGACM08AAAQyw2l1BRUOM08AAAAmMPMEAEAg49t2pjHzBAAAYAIzTwAABDK+bWcaM08AAAAmMPMEAEAgY82Tacw8AQAAmMDMEwAAgYyZJ9OYeQIAADCB8AQAAGACt+0AAAhk3LYzjZknAAAAE5h5AgAgkDl5MLBZzDwBAACYwMwTAACBjDVPpjHzBAAAYAIzTwAABDJmnkxj5gkAAMAEZp4AAAhkTmaezGLmCQAAwARmngAACGCGwT5PZjHzBAAAYAIzTwAABDLWPJnGzBMAAIAJzDwBABDI2OfJNGaeAAAATGDmCQCAQObk23ZmMfMEAABgAuEJAADABG7bAQAQyFgwbhozTwAAACYw8wQAQAAzWDBuGjNPAAAAJjDzBABAIGPNk2nMPAEAAJjAzBMAAIGMBwObxswTAACACcw8AQAQyAy+bWcWM08AAAAmMPMEAEAAM1jzZBozTwAAACYw8wQAQCBjzZNpzDwBAACYQHgCACCAGU7Da60sZsyYoQYNGigsLEwdO3bUli1biu3//vvvq1mzZgoLC1OrVq20YsUK989rGBo3bpyio6NVuXJlJSQkaM+ePaZqIjwBAACftHjxYiUlJWn8+PHaunWr2rRpo8TERB0/frzQ/l9//bUGDRqke++9V9u2bVPfvn3Vt29fbd++3dXnpZde0muvvaZZs2Zp8+bNqlKlihITE3X+/PlS12UzDB5qAwBAoLo1qL/XxlrtfN9U/44dO6p9+/Z6/fXXJUlOp1NXX321/vrXv+rJJ5+8pP+AAQOUl5enTz75xHXs+uuvV1xcnGbNmiXDMBQTE6PHHntMY8aMkSTl5OQoMjJS8+bN08CBA0tVFzNPAADA5+Tn5ys9PV0JCQmuY0FBQUpISNDGjRsLfc/GjRvd+ktSYmKiq39mZqaysrLc+kRERKhjx45FXrMwfNsOAAB4hcPhkMPhcDtmt9tlt9sv6Xvy5EkVFBQoMjLS7XhkZKR27txZ6PWzsrIK7Z+VleU6f/FYUX1Kg/AEAEAAM3sr7XJMmDBBEydOdDs2fvx4TZgwwWs1lAfCEwAA8Irk5GQlJSW5HSts1kmSateureDgYGVnZ7sdz87OVlRUVKHviYqKKrb/xf+fnZ2t6Ohotz5xcXGl/hyseQIAAF5ht9sVHh7u1ooKT6GhoYqPj1dqaqrrmNPpVGpqqjp16lToezp16uTWX5JWr17t6h8bG6uoqCi3Prm5udq8eXOR1ywMM08AAMAnJSUlaejQoWrXrp06dOig6dOnKy8vT8OGDZMkDRkyRHXr1lVKSookadSoUeratatefvll9erVS4sWLVJaWpreeustSZLNZtPo0aP1/PPPq0mTJoqNjdWzzz6rmJgY9e3bt9R1EZ4AAIBPGjBggE6cOKFx48YpKytLcXFxWrlypWvB96FDhxQU9N+baJ07d9bChQv1zDPP6KmnnlKTJk20fPlyXXvtta4+jz/+uPLy8nT//ffrzJkzuvHGG7Vy5UqFhYWVui72eQIAADCBNU8AAAAmEJ4AAABMIDwBAACYQHgCAAAwgfAEAABgAuEJAADABMITAACACYQnAAAAEwhPAAAAJhCeAAAATCA8AQAAmEB4AgAAMOH/A2WGIhGYrCd2AAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "PathwayAnalyserV2.get_pathway_alignment_stat(aligner, IGS.SETS['EMT'], 'EMT', cluster=True, FIGSIZE=(6,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fitted-mayor",
-   "metadata": {},
-   "source": [
-    "# Complementary functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "provincial-technician",
-   "metadata": {},
-   "source": [
-    "Show all alignments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "id": "hybrid-absence",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Gene      Alignment\n",
-      "--------  ------------------------\n",
-      "PTAFR     \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\n",
-      "OSBPL3    \u001b[92mM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "RFFL      \u001b[92mM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "TNFAIP2   \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "SGMS2     \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\n",
-      "SLC16A10  \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "FPR1      \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "FAM20C    \u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLEC4D    \u001b[91mI\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TSHZ1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IL1F9     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PSTPIP2   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "RELA      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NUP54     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "DDHD1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NRP2      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TREM1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "GRAMD1B   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "TOP1      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ICOSL     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "DUSP16    \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "PTPRE     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "LDLR      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TNIP1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "PLAGL2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZSWIM4    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZC3H12C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "AK150559  \u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "F10       \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDDDD\u001b[0m\n",
-      "FAM108C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RBM7      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RASA2     \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "SLC25A37  \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "IRAK-2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLEKHO2   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "LCP2      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TRIM13    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PTX3      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMMMM\u001b[0m\n",
-      "SPATA13   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "BCL2L11   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "CD44      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVV\u001b[0m\n",
-      "AK163103  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "LZTFL1    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IRAK3     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mII\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "ARG2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "ZEB2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TLR2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "MCOLN2    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CPD       \u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "RCAN1     \u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "PILRA     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ARHGEF3   \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "C5AR1     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\n",
-      "SLC39A14  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLCN7     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "BC031781  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NUPR1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CDC42EP4  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIE    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PLSCR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "NCK1      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "ADORA2B   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "ORAI2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "KLF7      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "NIACR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PDE4B     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "SERTAD2   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MPP5      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TGM2      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "PIP5K1A   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "FLRT3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\n",
-      "SOCS3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "TNFAIP3   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "RASGEF1B  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "SLC25A25  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[92mM\u001b[0m\n",
-      "INSIG1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MALT1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "RALGDS    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "H1F0      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "IL1A      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "NLRP3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TNF       \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIA    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLK2      \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIZ    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "NFKBID    \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "CCRL2     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "30      PTAFR\n",
-       "40     OSBPL3\n",
-       "74       RFFL\n",
-       "80    TNFAIP2\n",
-       "26      SGMS2\n",
-       "       ...   \n",
-       "77     NFKBIA\n",
-       "81       PLK2\n",
-       "88     NFKBIZ\n",
-       "46     NFKBID\n",
-       "63      CCRL2\n",
-       "Name: genes, Length: 89, dtype: object"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aligner.show_ordered_alignments() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "political-holiday",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "environment": {
-   "kernel": "genes2genes",
-   "name": "pytorch-gpu.1-9.m82",
-   "type": "gcloud",
-   "uri": "gcr.io/deeplearning-platform-release/pytorch-gpu.1-9:m82"
-  },
-  "kernelspec": {
-   "display_name": "genes2genes",
-   "language": "python",
-   "name": "genes2genes"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.19"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
\ No newline at end of file
diff --git a/doc/conf.py b/doc/conf.py
deleted file mode 100644
index f655493..0000000
--- a/doc/conf.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# Configuration file for the Sphinx documentation builder.
-#
-# This file only contains a selection of the most common options. For a full
-# list see the documentation:
-# https://www.sphinx-doc.org/en/master/usage/configuration.html
-
-# -- Path setup --------------------------------------------------------------
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-#
-# import os
-# import sys
-# sys.path.insert(0, os.path.abspath('.'))
-
-
-# -- Project information -----------------------------------------------------
-
-project = 'Genes2Genes'
-copyright = '2023, Dinithi Sumanaweera, Teichmann Lab'
-author = 'Dinithi Sumanaweera, Teichmann Lab'
-
-# The full version, including alpha/beta/rc tags
-release = 'v1.0'
-
-
-# -- General configuration ---------------------------------------------------
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
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-extensions = ["sphinx_rtd_theme",'sphinx.ext.intersphinx']
-# "myst_parser" removed as myst_nb automatically activates it
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ['_templates']
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-# This pattern also affects html_static_path and html_extra_path.
-exclude_patterns = []
-
-
-# -- Options for HTML output -------------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
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-#
-html_theme = 'sphinx_rtd_theme'
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
diff --git a/doc/css/alabaster.css b/doc/css/alabaster.css
deleted file mode 100644
index 83a7696..0000000
--- a/doc/css/alabaster.css
+++ /dev/null
@@ -1,701 +0,0 @@
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-@media screen and (max-width: 875px) {
-
-    body {
-        margin: 0;
-        padding: 20px 30px;
-    }
-
-    div.documentwrapper {
-        float: none;
-        background: #fff;
-    }
-
-    div.sphinxsidebar {
-        display: block;
-        float: none;
-        width: 102.5%;
-        margin: 50px -30px -20px -30px;
-        padding: 10px 20px;
-        background: #333;
-        color: #FFF;
-    }
-
-    div.sphinxsidebar h3, div.sphinxsidebar h4, div.sphinxsidebar p,
-    div.sphinxsidebar h3 a {
-        color: #fff;
-    }
-
-    div.sphinxsidebar a {
-        color: #AAA;
-    }
-
-    div.sphinxsidebar p.logo {
-        display: none;
-    }
-
-    div.document {
-        width: 100%;
-        margin: 0;
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-
-    div.footer {
-        display: none;
-    }
-
-    div.bodywrapper {
-        margin: 0;
-    }
-
-    div.body {
-        min-height: 0;
-        padding: 0;
-    }
-
-    .rtd_doc_footer {
-        display: none;
-    }
-
-    .document {
-        width: auto;
-    }
-
-    .footer {
-        width: auto;
-    }
-
-    .footer {
-        width: auto;
-    }
-
-    .github {
-        display: none;
-    }
-}
-
-
-/* misc. */
-
-.revsys-inline {
-    display: none!important;
-}
-
-/* Make nested-list/multi-paragraph items look better in Releases changelog
- * pages. Without this, docutils' magical list fuckery causes inconsistent
- * formatting between different release sub-lists.
- */
-div#changelog > div.section > ul > li > p:only-child {
-    margin-bottom: 0;
-}
-
-/* Hide fugly table cell borders in ..bibliography:: directive output */
-table.docutils.citation, table.docutils.citation td, table.docutils.citation th {
-  border: none;
-  /* Below needed in some edge cases; if not applied, bottom shadows appear */
-  -moz-box-shadow: none;
-  -webkit-box-shadow: none;
-  box-shadow: none;
-}
-
-
-/* relbar */
-
-.related {
-    line-height: 30px;
-    width: 100%;
-    font-size: 0.9rem;
-}
-
-.related.top {
-    border-bottom: 1px solid #EEE;
-    margin-bottom: 20px;
-}
-
-.related.bottom {
-    border-top: 1px solid #EEE;
-}
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-.related ul {
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-.related li {
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-}
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-nav#rellinks li+li:before {
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diff --git a/doc/source/.ipynb_checkpoints/G2Gtutorial-checkpoint.rst b/doc/source/.ipynb_checkpoints/G2Gtutorial-checkpoint.rst
deleted file mode 100644
index 57facf0..0000000
--- a/doc/source/.ipynb_checkpoints/G2Gtutorial-checkpoint.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-
-.. _G2Gtutorial:
-Tutorial
-=======================================
-
-
-Load the reference and query datasets:
-
-
-
-
diff --git a/doc/source/.ipynb_checkpoints/index-checkpoint.rst b/doc/source/.ipynb_checkpoints/index-checkpoint.rst
index 83b7b91..d4e3b65 100644
--- a/doc/source/.ipynb_checkpoints/index-checkpoint.rst
+++ b/doc/source/.ipynb_checkpoints/index-checkpoint.rst
@@ -108,17 +108,22 @@ G2G takes reference and query input data as ``anndata`` objects, where each ``ad
 The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as `Diffusion pseudotime <https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html>`_, `Palantir <https://github.com/dpeerlab/Palantir>`_,  `GPLVM <https://pyro.ai/examples/gplvm.html>`_,  `Monocle <http://cole-trapnell-lab.github.io/monocle-release/>`_ etc.).
 For better visualisation and interpretation of the alignment results, we recommend the data to be annotated with their cell types (manually and/or using an automatic annotation tool such as `CellTypist <https://www.celltypist.org>`_). 
 
-Please refer to our :doc:`G2Gtutorial` for an example analysis between a reference and query dataset from literature.
+Please refer to our `Tutorial <https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb>`_ for an example analysis between a reference and query dataset from literature.
 
 Citing Genes2Genes
 ===========
 Our manuscript is currently available as a `preprint <https://doi.org/10.1101/2023.03.08.531713>`_ at bioRxiv: 
 
-*Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.* **Gene-level alignment of single cell trajectories informs the progression of in vitro T cell differentiation**. *bioRxiv, pp.2023-03.*
+*Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.* **Gene-level alignment of single cell trajectories**. *bioRxiv, pp.2023-03.*
+
+This publication is part of the `Human Cell Atlas <https://www.humancellatlas.org>`_
+
+Funding Acknowledgement
+===========
+Marie Skłodowska-Curie grant agreement No: 101026506 (Marie Curie Individual Fellowship) under the European Union’s Horizon 2020 research and innovation programme; Wellcome Trust Ph.D. Fellowship for Clinicians; Wellcome Trust (WT206194); ERC Consolidator Grant (646794); Wellcome Sanger Institute’s Translation Committee Fund.
 
 
 .. toctree::
    :hidden:
    
    self
-   ../notebooks/Tutorial
\ No newline at end of file
diff --git a/doc/source/G2Gtutorial.rst b/doc/source/G2Gtutorial.rst
deleted file mode 100644
index 57facf0..0000000
--- a/doc/source/G2Gtutorial.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-
-.. _G2Gtutorial:
-Tutorial
-=======================================
-
-
-Load the reference and query datasets:
-
-
-
-
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 5df3071..4c64176 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -22,7 +22,7 @@
 author = 'Dinithi Sumanaweera, Teichmann Lab'
 
 # The full version, including alpha/beta/rc tags
-release = 'v1.0'
+release = 'v0.2.0'
 
 
 # -- General configuration ---------------------------------------------------
@@ -30,8 +30,7 @@
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
 # ones.
-extensions = ["sphinx_rtd_theme",'sphinx.ext.intersphinx',
-             "myst_nb"]
+extensions = ["sphinx_rtd_theme",'sphinx.ext.intersphinx']
 # "myst_parser" removed as myst_nb automatically activates it
 
 # Add any paths that contain templates here, relative to this directory.
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 83b7b91..d4e3b65 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -108,17 +108,22 @@ G2G takes reference and query input data as ``anndata`` objects, where each ``ad
 The user can estimate pseudotime of the cells in their datasets  using any suitable method available (such as `Diffusion pseudotime <https://scanpy.readthedocs.io/en/stable/generated/scanpy.tl.dpt.html>`_, `Palantir <https://github.com/dpeerlab/Palantir>`_,  `GPLVM <https://pyro.ai/examples/gplvm.html>`_,  `Monocle <http://cole-trapnell-lab.github.io/monocle-release/>`_ etc.).
 For better visualisation and interpretation of the alignment results, we recommend the data to be annotated with their cell types (manually and/or using an automatic annotation tool such as `CellTypist <https://www.celltypist.org>`_). 
 
-Please refer to our :doc:`G2Gtutorial` for an example analysis between a reference and query dataset from literature.
+Please refer to our `Tutorial <https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb>`_ for an example analysis between a reference and query dataset from literature.
 
 Citing Genes2Genes
 ===========
 Our manuscript is currently available as a `preprint <https://doi.org/10.1101/2023.03.08.531713>`_ at bioRxiv: 
 
-*Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.* **Gene-level alignment of single cell trajectories informs the progression of in vitro T cell differentiation**. *bioRxiv, pp.2023-03.*
+*Sumanaweera, D., Suo, C., Cujba, A.M., Muraro, D., Dann, E., Polanski, K., Steemers, A.S., Lee, W., Oliver, A.J., Park, J.E. and Meyer, K.B., 2023.* **Gene-level alignment of single cell trajectories**. *bioRxiv, pp.2023-03.*
+
+This publication is part of the `Human Cell Atlas <https://www.humancellatlas.org>`_
+
+Funding Acknowledgement
+===========
+Marie Skłodowska-Curie grant agreement No: 101026506 (Marie Curie Individual Fellowship) under the European Union’s Horizon 2020 research and innovation programme; Wellcome Trust Ph.D. Fellowship for Clinicians; Wellcome Trust (WT206194); ERC Consolidator Grant (646794); Wellcome Sanger Institute’s Translation Committee Fund.
 
 
 .. toctree::
    :hidden:
    
    self
-   ../notebooks/Tutorial
\ No newline at end of file
diff --git a/doc/source/notebooks/.ipynb_checkpoints/G2G_Tutorial-checkpoint.ipynb b/doc/source/notebooks/.ipynb_checkpoints/G2G_Tutorial-checkpoint.ipynb
deleted file mode 100644
index 8319294..0000000
--- a/doc/source/notebooks/.ipynb_checkpoints/G2G_Tutorial-checkpoint.ipynb
+++ /dev/null
@@ -1,1972 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "american-wages",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "logical-coordinate",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(CVXPY) Oct 11 05:41:15 PM: Encountered unexpected exception importing solver GLOP:\n",
-      "RuntimeError('Unrecognized new version of ortools (9.6.2534). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')\n",
-      "(CVXPY) Oct 11 05:41:15 PM: Encountered unexpected exception importing solver PDLP:\n",
-      "RuntimeError('Unrecognized new version of ortools (9.6.2534). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')\n",
-      "3.9.16\n"
-     ]
-    }
-   ],
-   "source": [
-    "import anndata\n",
-    "import numpy as np\n",
-    "import seaborn as sb\n",
-    "import matplotlib.pyplot as plt\n",
-    "import platform\n",
-    "from optbinning import ContinuousOptimalBinning\n",
-    "\n",
-    "import Main\n",
-    "import VisualUtils\n",
-    "import ClusterUtils\n",
-    "import TimeSeriesPreprocessor\n",
-    "import PathwayAnalyserV2\n",
-    "\n",
-    "print(platform.python_version())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "correct-pottery",
-   "metadata": {},
-   "source": [
-    "Load the reference and query anndata objects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "editorial-criterion",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input_dir = 'data/'\n",
-    "adata_ref = anndata.read_h5ad(input_dir + 'adata_pam_local.h5ad') # PAM dataset\n",
-    "adata_query = anndata.read_h5ad(input_dir +'adata_lps_local.h5ad') # LPS dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "perceived-purse",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AnnData object with n_obs × n_vars = 179 × 89\n",
-      "    obs: 'time'\n",
-      "AnnData object with n_obs × n_vars = 290 × 89\n",
-      "    obs: 'time'\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(adata_ref)\n",
-    "print(adata_query)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "split-identification",
-   "metadata": {},
-   "source": [
-    "### Min max normalize the pseudotime"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "accepted-message",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.0 1.0\n",
-      "0.0 1.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# check the current range\n",
-    "print(min(adata_ref.obs['time']), max(adata_ref.obs['time']))\n",
-    "print(min(adata_query.obs['time']), max(adata_query.obs['time']))\n",
-    "\n",
-    "# if it does not follow [0,1] range, run below\n",
-    "adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_ref.obs['time']))\n",
-    "adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_query.obs['time']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "anticipated-advancement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Visualize the pseudotime distributions\n",
-    "sb.kdeplot(adata_ref.obs['time'], fill=True, label='PAM', color='forestgreen') \n",
-    "sb.kdeplot(adata_query.obs['time'], fill=True, label='LPS', color='midnightblue'); \n",
-    "plt.xlabel('pseudotime'); plt.legend(); plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "brave-found",
-   "metadata": {},
-   "source": [
-    "### Check the number of bins in the optimal binning structure using OptBinning package"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "configured-rally",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "14\n",
-      "14\n"
-     ]
-    }
-   ],
-   "source": [
-    "x = np.asarray(adata_ref.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))\n",
-    "\n",
-    "x = np.asarray(adata_query.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sustained-auction",
-   "metadata": {},
-   "source": [
-    "OptBinning estimates 14 optimal number of splits for both reference and query pseudotime distributions. Therefore we choose the same number of interpolation points."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "careful-average",
-   "metadata": {},
-   "source": [
-    "### Visualize the interpolation binning structure in terms of the cell type composition \n",
-    "\n",
-    "For this dataset, we use the author-given time annotations (1h,2h,4h,6h) as the cell-type annotations. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "daily-english",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata_ref.obs['annotation'] = [x.split('_')[1] for x in adata_ref.obs_names] \n",
-    "adata_query.obs['annotation'] = [x.split('_')[1] for x in adata_query.obs_names] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "realistic-performance",
-   "metadata": {},
-   "source": [
-    "Next we define a colormap of our choice for these annotations, and call the below function. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "heavy-safety",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "# trying max n points for optimal binning = 14\n",
-      "====================================================\n",
-      "Optimal equal number of bins for R and Q =  14\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "col = np.array(sb.color_palette('colorblind'))[range(4)]\n",
-    "joint_cmap={'1h':col[0], '2h':col[1] , '4h':col[2] , '6h':col[3]}\n",
-    "vs = VisualUtils.VisualUtils.get_celltype_composition_across_time(adata_ref, adata_query, n_points=14, \n",
-    "                                     ANNOTATION_COLNAME='annotation', optimal_binning=False, ref_cmap=joint_cmap, query_cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "lined-complexity",
-   "metadata": {},
-   "source": [
-    "### Run G2G alignment\n",
-    "\n",
-    "We can now run Gene-level alignment for all 89 genes in the PAM and LPS datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "interesting-finland",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "89\n"
-     ]
-    }
-   ],
-   "source": [
-    "gene_list = adata_ref.var_names \n",
-    "print(len(gene_list))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "normal-colony",
-   "metadata": {},
-   "source": [
-    "This is done by first creating an aligner object, passing and setting all relevant parameters.\n",
-    "Next we align all gene pairs. (This step is parallelizing indepedenent gene-alignments to make the process time-efficient, however the computational time for an individual alignment will increase as the number of cells and/or the number of interpolation time points increase. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "democratic-frequency",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WINDOW_SIZE= 0.1\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "793a80e659c84f4783d1e40a698b6af5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/89 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, len(vs.optimal_bining_S))\n",
-    "aligner.WEIGHT_BY_CELL_DENSITY = True\n",
-    "aligner.WINDOW_SIZE=0.1\n",
-    "aligner.state_params = [0.99,0.1,0.7]\n",
-    "aligner.optimal_binning = True\n",
-    "aligner.opt_binning_S = vs.optimal_bining_S\n",
-    "aligner.opt_binning_T = vs.optimal_bining_T\n",
-    "aligner.align_all_pairs() "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "seasonal-asbestos",
-   "metadata": {},
-   "source": [
-    "Now we can check the aggregate (average) alignment across all genes:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "actual-subject",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMMMIIIDID\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner.get_aggregate_alignment()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "liberal-preview",
-   "metadata": {},
-   "source": [
-    "We can also visualize this alignment in terms of cell-type composition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "timely-characterization",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vs.visualize_gene_alignment(\"IDDDMMMMMMMMMIIIDID\", cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "identified-reminder",
-   "metadata": {},
-   "source": [
-    "We can also visualize an individual gene (e.g. JUNB), displaying its alignment statistics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "wooden-karma",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "Optimal alignment cost: 57.99 nits\n",
-      "Alignment similarity percentage: 21.74 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.show_gene_alignment('TNF', aligner, vs, joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "otherwise-scene",
-   "metadata": {},
-   "source": [
-    "To check only the cell plots of a gene alignment (e.g. SERTAD2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "secret-asbestos",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plotTimeSeries('SERTAD2', aligner, plot_cells=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "talented-words",
-   "metadata": {},
-   "source": [
-    "The below attributes and functions can be used to examine any gene-alignment object"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "after-width",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DDDIDIDIDDDMMMMMIIIIIID\n",
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "GENE = 'TNF'\n",
-    "gene_obj = aligner.results_map[GENE]\n",
-    "\n",
-    "al = gene_obj.alignment_str\n",
-    "print(al)\n",
-    "print(VisualUtils.color_al_str(al)) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "id": "regulated-anthony",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "01234567890123456789012 Alignment index \n",
-      "012 3 4 56789012      3 Reference index\n",
-      "\u001b[91m***\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m***\u001b[0m\u001b[92m*****\u001b[0m------\u001b[91m*\u001b[0m\n",
-      "---\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m---\u001b[92m*****\u001b[0m\u001b[91m******\u001b[0m-\n",
-      "   0 1 2   34567890123  Query index\n",
-      "DDDIDIDIDDDMMMMMIIIIIID 5-state string \n"
-     ]
-    }
-   ],
-   "source": [
-    "print(gene_obj.al_visual)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "utility-inspiration",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 500x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "gene_obj.landscape_obj.plot_alignment_landscape()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "opponent-parks",
-   "metadata": {},
-   "source": [
-    "### The alignment distribution across all genes \n",
-    "\n",
-    "We can use the alignment similarity percentage statistic of genes to rank genes from highly distant to highly similar"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "gross-syndrome",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage: \n",
-      "50.39 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df = aligner.get_stat_df() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "banned-alcohol",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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5uaFSqUo7LCGEKHEllgQBGAwGPvnkEz788EMyMjLw9fVl7ty5PPHEE0UKuqyRJEiUR0lJSXz761KOXk0mRV0ZxcENlSEVX1UCXZtV5fFJYyxbyQghREVUoklQtqioKGbPns3y5ctRqVS0bt2ab775ho4dO9p7yTJFkiBR3vz29yr+2h2NY5MJOLn55DqvS7kNFxfxzKg2DBvY+94HKIQQ90CJJEG7du3i+PHjqFQq2rZtS/fu3QHYsWMHzz77LKGhoahUKh599FE+/vhj/P39i/5MSpEkQaI8+eH3ZSy/6ItrnZ6FltVeXM20Thref/sVQMYECSEqlmJNgjIzMxk2bBg7duzIcbxv376sWbMGFxcXTCYTX375JXPmzCE1NRUvLy/eeecdnn32WRwcHIr+jEqBJEGivDhz7gLP/3wK92bjrK6Tdmgeu37NWooiLS1NusiEEBWGte/fVo1cfuutt9i+fTuKouR4bNu2jbfffhsABwcHZs+ezeXLl3n44YdJSUlh9uzZtGrVqliekBAifz/8HYJbkzGFF7yLY5MJJRSNEEKUD1YlQcuWLUOlUvH111+TnJxMUlISX331FYqisGTJkhxlq1atyp9//smePXto3rw5Fy5cKJHAhRBZUlNTuZrogsrG2ZiOGmn5EULc36x61bx16xY1atTg6aefxtPTEy8vL5555hlq1KjBrVu38qzTtWtXTpw4wVdffVWsAQshctqyYy+GmjLIWQghbGXVPhKVKlUiJiaGkJAQBg4cCMDGjRuJiYmhatWq+dZTq9U8/fTTxROpEBWY0Whk+ZoQzl2OwGRScHNxZOLIB6lbt06hdW/fScLZo1KR7h8TE8PSddtJSdfhoFJRO8CfR8YNR6PRkJyczIJFq4m8GUfo5esoZiNNGtUnuFZVpkwYiaenZ5HuXVxOnj7Lmk170BnMOKihU5smDHqwt6yNJITIl1VJ0KBBg/j1118ZMmQIvr6+ACQmJgIwePDgkotOiAouJSWFT779k7M3dJgCB+BeI+tDhtlo4Okf1lPNvJJRfVoxbFDffK/h4eqCKT4TitC79eTnO/Bu+RCOvlkzxM7ERbHkma9IvRmKo18dKnd8HE1dP7zqgi4tgT3HVrL1QgTL935O8wAPnps6ggb16xZyl+KnKAp/LF7NliNXSXBpgmeD6ajVDiiKwsljp/h1/Wc8UNeb2U9NQqPR3PP4hBBlm1Wzw+Lj4+nWrRuXLl3KcbxRo0bs2bOHypUrl1iApUlmh4mSFBUVzTNzfsGx7fM4uXjkWy7t+l7ae17mrRfzXoz0/IVQnvjhAr7Nh9t0f5Mug22v1MZR48agD8/jqMk9Rd5k1HNly9fUaDUIrxqNc5xTzGbC9v2Oe+Vg3DKuMnNkc/r37mpTDEVhNpt54c3PuO7eB/eaLfItp0uNx+nc9/z80Sy8vb3vWXxCiNJTrLPDKleuzMmTJ/nll1+YMWMGTz31FPPnz+fEiRMVNgESoiQlJyfz9Lu/oOn8aoEJEIBHnW4c0z/Ap98uyPN8xI3b3Ll20OYY1M6uNBz0X4Z9HpZnAgTg4OhMw4GzuHk6hIyE6BznVGo1dbpPJTPpFobKbfhq7SWOHj9tcxz2+u9784ioNKrABAhA41kZ5YGXeOzlz9Dr9fcoOiFEeWD1dBIXFxemTZvGt99+yzfffMPUqVNxcXEpydiEqLA+/Op3nNvPQq22bg0tt5qt2H7JQHx8fI7jiqLw88pD+Aa3Iz3uuk0xJF4/iH/9DoWWU6lUNHhwJpGHl+Z5PrjzRG5f2IlH68l88UeITTHY6/SZc5xNr4NLpSCryjs4u6Br8hjf/7q4hCMTQpQn5XuHUyHKIYPBwIVbxnxbX/Lj1mQMX/+6LMexDZu2o6vZm1oPDCfm8F8YtWlWXUubEkvylb1Urt/ZqvJqtQPObj7o0hLyPO8X3IaE8BMkujThzNnzVl2zKH5eshmvxgNsquPqU539525RhJ2ChBAVjCRBQtxjfy9fh1JniM31nFw9ORORM8lZteMUXgFtUDs40njQC4Rv+zxrf7ACpN++ws19v9Cw7wy2zunElnc7YtRnFnr/Wu1GE318VZ7n/Bv3Iu7ibjwbPcj8pVusf1J2yMjIICxZY3Ur2t1Sfdtz4NDREohKCFEeWTU7TAhRfC5ev4l7rWF21c1UeZOZmYmrqysAaSYN2RPAnVw8aD7sVa7vX4g2LQnfBt3xCXoAyOo2S7iyj5TwI2TeCafto/MwGTJJDDueVVkxF3pvZzdvzAZdnudUKhVqx6zEJMVQsi8rUVFRGD3r2VXXrVZrDp9cRZdO7Ys5KiFEeSRJkBD3mNFUhO4YJ1cyMjIsSZDJpOT4I1Y7OlGvx1QURSE2dDfRu7/7/zMKlWq3JWDwLK5u/87m1aWtk/W8ivT8rJCZmYniYN94RAdnV9LjC2/1EkLcHyQJEuIec3bMml5uVyKiS84xzdvJQSGvlEOlUlG1SU+qNulpd5x5UQpoMcoea+Ncwvsl+/j4oNKF2VXXkJ5IlUo+xRuQEKLckjFBQtxjowZ2J+XKdrvqVnXR4uj4z2eXWt5Za/nYwmTQ2zU4OPnGBTz8814Q0ZCZgoOTBl1aAg1qlOyeZEFBQXhmXrWrrvZKCKOG5L/wpBDi/mJXEmQ0Gos7DiHuGw+0bolfxjmb66XHXGJA5wY5jj01eThpF9badB3/xj24fc72wcsx57ZQrXn/PM9FHVtJrbaj0F1cwYwpY22+ti1UKhVt6/uiT0+0qZ6iKNR0jsff37+EIhNClDd2JUE1atRg1qxZnD17trjjEeK+0L9jfdKjT1pdXlEUVFdXMG5kzm1qagcHU10Jw6TXWn0tj0qBpIeuwWw2WV0n/U4kTq7eec7IMmSmok9LRKVyoKGv9p6srj5jylgyT/9hU53US1t4ZNi9W9FaCFH22ZUExcfHM2/ePFq1akW7du344YcfSE5OLu7YhKiwJj80ggb6vWTGFd6toygKqUe+571nR+PgkDsJ+fytGWgPf2JVt5g+Ixnn89+x5JvXSD80D41HZTSeBa/6rk2+Tfj+hdTuOjnXOaMug0ubviCoy8M4nJ7Hh6/NKDSG4uDt7c3Mse1IOWPd4ofpkUfpWTOWnt06lXBkQojyxKq9w/5NrVajUqmyPp3+/w7NGo2GkSNHMnXqVPr2rRh97rJ3mChJiqLw1kffcTTWF88mw3Fwyr3BZ0bcdZSLi3nv2VG0atks32vFxcXx9JvfkF5jAJ5B7fK8V8qVHdTIPMY3c2fh6upKREQkz8+dj7H2SNxr5L622Wzi5sn1pMZcpuGAF1A7OOa4XvyV/dy+sJPq9dtSXXuS7z+cjbt7yY4H+retO/bxxeL9ODWdiKtP9Vznjbp00s4uZWBzV2Y+/sg9jU0IUXqsff+2KwkaO3YsGzduJDMza6rpvxOigIAApkyZwpQpUwgODrbvGZQBkgSJeyE8IoLv/ljDpRgTOmd/cHQBbQKVHRLp264uD48bhpOTU6HXURSFzdt3s2zzUW5muKG4+oNiQp0ZS7C3nqlj+tDugdY56pjNZlav38y6Pee5lekOblXAbMBRG0sdXyMPNK7F/tMRXIlXY9BUxqyoyEyKQZ98E293Dc3rVmHSiB6luu5OZmYmvyxcwb6zN0miMiqNDxjTcdHfpmWgG09PHSPjgIS4z5RoEgRZq7auW7eOpUuXEhISglabc0yCSqVCpVLRo0cPpk+fztixY3PMaikPJAkS95LJZCIxMRGtVouPjw8eHgVvrFoQrVZLQkICDg4O+Pr64uzsXGidzMxMEhIScHJyws/PL8ffq06nIyEhAZ0ua7FEFxcX/Pz8rLruvZSSkkJycjLu7u74+PigLpH1kIQQZV2JJ0F3S09PZ82aNSxbtozNmzej0+ksU3CzW4dq1qzJt99+y9ChQ4t6u3tGkiBRkWVmZjJw4EAAQkJCLAswCiFEeWft+3exNM24u7szcuRItFotYWFhnDlzxpL8QFYzfXR0NCNHjiQkJIR+/foVx22FEEVgNpvZvXu35f9CCHG/KXJb8alTp3jqqaeoXr06jz32GGfPnrWMEVIUhWrVqllWuDWbzcyZM6fIQQshhBBCFJVdSVB6ejo///wz7dq144EHHuDHH38kJSXFkvgoikKXLl1YvHgxkZGRREZG0qZNGwBZW0gIIYQQZYJd3WHVqlUjIyMDIMfy+xqNhgkTJvDss8/SuvU/s1A8PT0ZOXIkJ06cIDU1tYghCyGEEEIUnV1JUHp6uqXLC6BWrVrMmDGDxx57jMqV8154zcXFvl2fhRBCCCFKgt2LJQJ07dqV5557jpEjR+a5km15J7PDREWWnp5umYaflpZ2zxc6FEKIklKis8OmTZvGs88+S8uWLe0OUAhR+tzc3Eo7BCGEKDV2JUHdu3fn9OnTJCcn07179zzLaLVa9PqsvYykFUWIssfd3Z309PTSDkMIIUqNXUnQlClTUKlUjB49Ot8k6NFHH2XlypWoVCqMRmORghRCCCGEKG4luqZ89nR5W+3atcuy7UZBj7zWHFqwYAHt27fHw8MDPz8/Bg0axIEDB4rj6QghhBCiAimxzbxiYmLsrlutWjUmT56c5zmTycTChQsB6NatW45zzz//PPPmzcPV1ZX+/fuj1WrZunUrW7ZsYfny5YwYMcLumISoaLRaLaNHjwZgxYoVMoNTCHHfsXp22LRp0yz/X7BgASqViqCgIHr27Jmr7M2bN9m6dSuKoqDRaCy7zReHkJAQBg0aREBAABEREZbtObZt20a/fv2oVKkSBw8epH79+gAcPHiQnj174ubmRlhYGD4+PlbfS2aHiYpMZocJISqqYp8dlp34ZFMUhYiICH7//fc8yyuKgkqlok6dOjaEXbjsVqCHH344Rzyff/45AG+88YYlAQLo1KkTTz75JF999RXz589n9uzZxRqPEEIIIcqnEh8TNGXKlGK7XvZu9ZA18DpbZmYmO3bsAGDMmDG56mUfW7duXbHFIoQQQojyzaYxQdk9Z9ktMPn1pLm6ulKvXj0mTZrErFmzihjiP1auXEl6ejqtW7emSZMmluOXLl1Cp9NRpUoVatWqlate9r5lZ86cKbZYhBBCCFG+WZ0Emc1my//VajUqlYoxY8awdOnSEgksL9ldYXe3AgFERkYC5JkAQdZ6KD4+PiQmJpKamoqnp2ee5XQ6HTqdzvJ1SkpKcYQthBBCiDLIru6wwMBAAgMD8ff3L+548nXr1i22b9+Og4MDEyZMyHEuLS0NKHj12+xBnwVt4Prhhx/i7e1teQQEBBRD5EIIIYQoi+yaIh8eHl7MYRRu0aJFmEwmBgwYQLVq1UrkHq+++mqO7ruUlBRJhIQQQogKyqokKLu7yd3dnUqVKlm+tlZgYKDtkf1Lfl1hgGWab0ZGRr71s7cHyK8rDECj0aDRaIoSphDlhru7u12LmQohREVhVRIUHBxsGQO0ZMkSy9fWKI5tM0JDQzl58iQeHh55LniYnWRFR0fnWT89PZ2kpCR8fX0LTIKEEEIIcf+waUzQvz81Zm+LUdijqP78808ARo0alee4n4YNG6LRaIiLi+PGjRu5zp84cQKAFi1aFDkWIYQQQlQMVidBeSVA94KiKPz9999A3l1hkDUlv3fv3gAsW7Ys1/nly5cDMHTo0BKKUojyR6vVMnbsWMaOHYtWqy3tcIQQ4p6zatuMd999F4AmTZowduxY3nnnHau7wwDefvttuwPcs2cPPXr0oGbNmkRGRqJW5523FbRtRq9evXB1dZVtM4S4i2ybIYSoqIp124x/JzHvvPNOkYKzRfaA6IkTJ+abAAH07duXmTNnMm/ePFq1akW/fv3Q6/WWPcx+++03mxIgIYQQQlRsdk2Rz95M1cHBge+++w4nJ6diDSqbTqezdGU98sgjhZb/8ssvadWqFd988w1bt27F2dmZvn378uabb9K5c+cSiVEIIYQQ5ZPVu8jfzdnZGZPJRLt27Th06FBJxFUmSHeYqMikO0wIUVFZ+/5t14rRNWvWBMDX19e+6IQQQgghSpldSdDIkSNRFIUTJ06QmZlZ3DEJIYQQQpQ4u5Kgt99+m8aNGxMfH8+ECRPyXJtHCCGEEKIss2tg9MiRI9FoNCiKwrp16wgJCSE4OJjq1avnmsGlUqnYvn17sQQrhCg+bm5uVm0+LIQQFZVdA6PVarVlnaC7q/977SBFUVCpVJhMpiKGWTpkYLQQQghR/hTrOkEFsWXRRCGEEEKIssKuJCgwMFCSHyHKOZ1OxxNPPAHAjz/+iEajKeWIhBDi3rKrO+x+Id1hoiKTdYKEEBVVia4TJIQQQghR3hV5TJAQZZ1OpyM0NJTEpGS8vTxp0KCBpQXEGhEREUT//zIQtWrWJCgoqNA6er3eck9PD3caNGiAp6en3c9BURSuXLnC7duxODk5UrlyZVJSUkhOScXXx5vGjRsX2p11+/ZtwsPD0er0VKvqb1n09N8yMzPZvHkzkVHReHt50q1bN+rUqUNaWhqXL18mOSUVP18fXFxciIuPR6VSUev/rxV94waKolCrZk2Cg4Ptfr7W0Ol0XLx4kYTEJLt+rsXl1q1bREREYDAYqVatKvXq1ZPhAkKUE0XqDjty5AgrVqzg8uXLpKSkkNelyvMUeekOK9/CwsL4Y/Fq7mSo8A1ojrObJwZdBglR5/B00DJ+xABaNG+WZ12dTseS5as4eSECJ7/aeFUOACAlPgpDYjitGwcyfszIXIlHZGQkvy9eRWyyCd/AFri4e6PXpZMYfQF30hkzrB9tWrey+jmkpaXx59/LuBgRh5t/Q9IzMgm/dAIPLx/qNeuIxs0DfUYqCVFnqeSmMGn8cOrUqWOpbzab2Riyhd2Hz2Jy9cenWl0cHJ1IT44jKeI033/6huU+V69e4/3PvkPlWoUGrXvg5uGNNiONK2cPEHn5FK5ubnQZOBlnNw8yUpK4cvYgep2Wek3boc1MI+LyaTx9qtCgZWcyk2+jTwijVcMAHho3qljHG4WHh/P7olXEp4NvQHM07l4YdBkkRp3HwyGTscP606pli2K7X15MJhNr1odw4Hgoint1vKvWRq12ID3xNhmxl2gUVIVHJ44tlaRMCGH9+7fdSdCsWbOYN29egWVkirwoLb/+8TdnorS06jEGRyfnXOfNJhPnD22kkiqWl55/Kscn98ioKN777Cea9XyEStXzbvW5cyuCc7sW8ubsxwkMyEqQFi5eztHLCbTqNR4n59xv+mazmdAjW3DXhvP6yzMLbS04dfos3/6+mlb9JuPlW4XtK3/Gp3I12nQdjNrBIVd5o0HP6T0raFZTw38mTyQtLY1X3vmYmq2GEFA/d1KgzUznsV6VAZj6+LOoKzWk6+BJODrm3hDZbDJxdNcaTuxdz+QXv8TNw8tyz0Nbl+HkrKFD3zHE3Yxgz4Y/6DV8Gn7+NbkTE8m5HX/yxuzHCAoMLPD5WmPBwsWcCkujVa9xef9czWYuHA7Bx3SL/856ukRaZJKSknj13c+o03E01YMb5VkmOSGWU1t/55mpI2mZT6IthCg5JZoErV+/nmHDhmVdQKXKd60gSYJEafjtz0VE6atSp1nnQsvGRFzCGLWPV2Y/DUBsbCxv/O8Huo6ZnWeicTezycS+5Z/x/itPsm3nXi4neVCvVY9C7xl34zoplzbx9quz8i1z8dJlvv5jAx2HPolKpWLbip9o3KY7NWvn/aZ7t7BzB/EnipPnrtB22Exc3PJujbg7CXrombm07DyAWnWaFHjtqGvn2fDnZ/znte9zJHqXTu0j6c5tOvQZjdlkYu3vn9Bn1HQ8fSpjNpvZt+wz3vvv41StWrXQ+PPz+19LiMisRJ3mXQstezvqCrqwnbz20nN23y8vmZmZzHx1Lh1HzsbZxbXAsoqicHDt98ycMpSGDeoXaxxCiIKV6MDoX3/9FchKeLJnlKhUKtzc3HBzc7MkP0FBQQQWw6c/IawVFhbG6chMqxIggGpBDclwq8uu3fsA+Pir+XQe/UKhCRCA2sGBzqNf4K25X3AoNM6qBAigSs06qKu2IWTztjzPK4rCvJ8XWRKgK2cPUT2wvlUJEEDtZp1YvfUQLQc+mW8C9G99Rj3O8d3r8uzSvltA3aZ06j+eFT+/l+N4w1Zd0WsziY+JRO3gwJBHZ7F77QIga3HVzqOf56N5862KJS8RERGcvJ5qVQIEUDWgPnqvxmzfudvue+blk3k/0m7Yc4UmQJD1mthp2Ay+/OnvQr+vQojSYVcSdPz4cQDc3d25fv265figQYNITk7mjTfewGw2079/f8LCwoonUiGs8Mfi1bTqMcamOvVb92DjjgNERUWheNTMszsoP46OTkTeTqZVr/E23bN2047s2H8yz3P7DxyiWqOullbVy2cO0qRtT6uvbTQa8KsWjKd3pQLLaVzc+DYkkm9DItG4utOyU38uHC88aWjRqT8ZqUkY9Locxzv2G8vx3esAcHRyxte/JolxN7O+dnRC7R1IRESE1c/jbr8vXkXLnmNtqlOvVTc27zps1/3ykpGRQVy6Cld361uFVSoVVRt04eChI8UWhxCi+NiVBMXGxqJSqWjTpg2VK1fOeUG1mjlz5tCwYUN++eUXvvnmm2IJVIjC6HQ64tKUPMeKFESlUmFwrsQP8/+iaedhNtU1GY34+AdZ1TLwb4p7dSIjI3MdX7dlr6UlKzkhFi+fKjaNbTm5Zz0PdB9aaDmVSoWXbxW8fLOuH9yoNeEXT1hVr3ajNuzb+FeO41ndYwpGgx6Adj1HcGzXGsv5pp2H8vviVVY/j2x6vZ7YFFOe46wKY9RU4datWzbXy8vCxctp2NG23w+Aui26sHZz8bZICSGKh11JUPYLsp+fHwBOTlmfnJOSkixl6tWrh6Io/PTTT0UMUQjrhIaG4hdo36yg4ObduXEnDWeNi031Ym+GEVCvqV33rNuqJ9t37ct1XKc4W/7Grp0/SuM23Wy6btKdGPxr1rYrJmeNdclc03a9iL52LtfxwPotuRVxOeta/0oMnZw1pOlsH6h8+fJlfAOa21wPoHaLHuzcc8Cuuv8WHZOIT+XqNtdTqVRozbYl5kKIe8OuJKhSpaxm9vT0dAB8fX1RFIVDhw4RExNDQkICR48eBeDatWvFFKoQBUtMSkZjQ1fF3VzdvTAazTbXy0xPwdXdvvV/XN29SEpOyXXcfNfwkazr2/icrGw1Muh1LPjkeRZ88nyurq3CuLp75jnhwdXdk8yM1HxjMdn+LSYpORmNaxG+x0nJdtX9N1MRhvWYFVk3SIiyyK4kqFq1aiiKQkJCAgCNGmUN2ExPT6dOnToEBgYSFxcHgJubWzGFKkTBvL080WvT7aqrzUjD0dH2PwcXVw90mRl23VOXmY6XZ+6By2r1P2+YLm4e6Ox8ToUxmYxsX/Ej21f8iMlkzDpoZQKlzUhH7Zh7rVVdZhourvkPxnZwsD0Z8PIsws81Mw0vL/sXqbybg9r+RMZB1uYXokyy60+zVatWAFy8eBGj0cjQof+MP9BqtWRkZL0pqFQqHnzwwaJHKYQVGjRoQGLUebvqRl08jJ+HMyaj0aZ6lasHcSMs1K57hp8/SOcObXMdd1L+aZUJatCSK2cO2XRdN3dvku7E2BWTXpdpVbnLZw9SJY81lKKuXcC/VtZijSajEZPRYDlnNpnQqAy56hSmXr16JEZfsLkeQOSFQ3Rs38auuv9WyduV9JREu+o6Kra1tAkh7g27kqAHH3yQLl260KpVK65evcqMGTNo2rRpjmmgiqJQo0YNPvroo2ILVoiCeHh44OmoxWzHulRKSjSPTxlP6OEQm+o5a1y4cysMo9H2N3dd/BUaN8497b1np1ZEXTkNQOVqgcTfjrLpum17DefoDtsHIN+KuEz1AOvWs7l69hC9hk/LccxsMmHQZeLimrVsxsl9G2jdZZDl/IUjm5gwahC2cnNzw8dZb9fP1ZQcSb26dW2ul5fJE8dyYb/t39fIyyfp3bV4EjEhRPGyKwkaM2YMe/fuZe/evTRq1Ag3NzcOHjzIBx98wNChQxkwYABvvvkmJ0+ezHd/IiFKwvgRAzh/aKNNdaKunKJb+2Y0atgQbdwVm9Z0URSFKl4azu5dbdM9b4VfpH3LvBOOgQ/2JfLMP2sIBdRtRpgVs7ayaVzciL8Zhl5rXatOtuN71tGy84BCy109dwSVSpVrDaITe9db6iuKwq3Iy1QNqGv5OiMmlCZNGtsUU7YJowdz7sA6m+pEXTlD5wfsu19efHx8cFelW2a/WR3H2R0M6Nen2OIQQhSfYuup9vDw4JVXXmHNmjVs3LiRd999N9f0eSFKWovmzaisjiMm4pJV5ZPuxJB0eQfDhgwE4Jn/jOfQ2u+tSoQUReHQ2u9548UZBHhquXHtrFX3TE2KJ+b0OsaPGZnnebVazSMj+nJyx2IAmnfoy7kj20mKt26qd0zkZTo0D+Tgqi+s7t47umMV9Zt3wCGPcT53S4i9wdZl3zHqsbdyHL8RFkpKUjw1ghuiKApbln5Lh77/rOtzaN2PPD3NtrWU7takSWP8nRK5FW5d12NyQiyJl7YyavgQu++Zl9nPTGP/yi8wm60b4X1qx2IeHdlPNlQVooyS4Xqiwnlx5gyMUfu4dHxngclM1OVTRB36m7lvvWx5k6pXry6Pje/H/pVfos1Iy7euNiONfSu/ZPq4vtSrV5eZT03H6c4JQo9uLfCeN66f59ru3/jwnf8W+MbYpXMHBnaozaH1P2MyGhg08QX2bfyL8It5L7AIWUnZ5ZO7MUTu4c1XZvPeK0+xf9lHJCfE5lsnW/TZ7YXOELt24RiLv3md8U+9j4eXr+We547sIPTEXnoNn4Y2I42Nf31Bk7a98K8RjDYznX0rvuQ/Y3oVeeuI2c89iXLzAJeO7yjwexx95QwRB/7M8XMtLpUqVeLNF6axb9nHpCbfybecQa/j0PqfGdChNp07tS/WGIQQxceqvcOmTZtWWJH8b6BSMX++/cvllybZO6x8271nPxu278fgXIng5t1xdfdCm5FG1MXDkHqDbu2bMXTwgDzfKO/cucOvfywhIi6N6o264Vc1AFQqEmIiuXVxL0FVPJg2abxluYhs+w8cYu3mPegcfQhu3gM3Tx90melEXzqKMSmCzm0aM2rEEKvfnCMjI1nw90pup5oIbNaLG+EXuRVxhSo1gmjUuhsubh5kpqcQcXYvToY7DOzViZ49/tlaIjMzkwV/LuZC2G38gh/AP7Ahjo5OJCfEcv3EJn78+BUgaxf5detDWLR6K5UCm9GyywDL9yv0+G4untiD0aBl2LTX8fbzJyMtmXOHt5OSFEdQ/VZ4+lTi7KEtOLu40arbYAyZady8sIdald2ZPnl8sbYK7913gPXb9mNw8iOwWTfLbvdRF48QGXoIjYOJ4Nr1cHRQ44ARs9mIWaXBrICDCvwrefLwQ2Px9LR/1lhaWhq/LVzClcg7VK7bjko16uLg4EhKwm2izu7E39uBKRNGEfD/m+sKUdrCw8NZvHwtOhOYzQpqlUKD2jUZM2qEZa2/iqRYN1BVq9V2faKSDVRFWXD79m127z1IckoKXp6etG/bitq1rVtM0GQysWfPPiKibqAAwQE16d69Kw6F7C0WFxfHrr0HSEpKxtPTgwdat6B+vXp2PwedTsf2nbu5FROLk5MTHm4a9EYzqalpeHt50aNbpwI3J1UUhaPHjnPpynV0Oh3Vqlahd8/uxMZmtRIFBgaiVmc1DIeHh/Pzb38SG3cHdzdXenTrxIhhQwkLC+PI8VOkpmZNO3dQQWp6JiqgVs3qoChE34xBAQJr1aBnj26Ffp+KIjY2lt17DxJ3J4GDh47g6lWFXiOm4le5mqWMNiOdPZtXkJx0h96Dx1PJvwbJifGc2L0GV7WO2c89gYeHdfur5UVRFA4eOszV6xEYDAaqV/Onb++eODvL4oiibDh/IZQ/l6zBzS+QNt0H43TXivoxUWGcPRRCrSoePDtjeon+vd5rkgQVA0mChCjbUlNTee2dj+g5+mk8vHzyLWcymVj5x1d07j2UmkFZyag2I50tS+Yx57Xnc7XoCVER7Nt/kA27TtJj2JQC38PjY6I5ueNvPnz3tQrTKlTsu8grimLzQwghSoqiKLz1/if0Hf98gQkQgIODA2OmPM/eratITc5a5NXFzZ2Bj7zIOx98gdHG9aGEKOuuXr3G2h3H6Dl8aqGNGJWr1aJt/8m8/9EX9yi6ssOqJMhsNtv9KK+tQEJUdHq9npdeeomXXnoJvd62ad9lwbbtO6nfdgAubu5WlVepVIyY+BS7Ny23HHNycqZN7/GsXG3b9Hshyro/Fq3MtZZXQXwrV8XRO5ArV6+WYFRlj8wOE+I+ZTAY+PTTT/n0008xGGxf7LG07TpwjLqNW9tUx8XNHb1Ol+PDWY2gepw4e7m4wxOi1CQnJ6NXu1nG+VnrgW6DWbx8bQlFVTZJEiSEKHcSEhJA42tX3dYde3H6yO4cx1wrBRIZGVkcoQlR6hYtXUHbniNsrufg6Ehyhvm+Gs5S8Mpo/2/OnDkANGnShDFjxli+ttZbb71VeCEhhLDSzZs38fUPtKtujcC6XDp3LMexytWDiYiMJDDQvmsKUZYkpaRT29vPrrrO7t5kZGTg7m5dN3N5Z1US9M4776BSqRg9ejRjxoyxfG0tSYKEEMXJZDKhsnM6r9rBIdc+ZA4OjhiN5W9clBB5MRehJUetcrivJgqUaHfY/dSkJoS4d/z9/UlNiLGrbkJcDD5+VXIcS74TQ/Vq+a+zJER54uLsiL6QFeDzk5mWVKSFRMsbm6bI//trmSIvhCgN1atXR5t00666R/aE0KZz3xzH7kRdoGHDhsURmhClbuzIoRzfbfuMR0VRcHMy2TygujyzqjssLCwMwNJHmP31vRAXF8dHH33EunXriIyMxNXVleDgYPr06cMnn3ySq/y6dev49NNPOXkya4+lNm3a8NJLLzF48OB7FrMQouQ1bxhEzI0IqtUMsrqOyWjEaDDg4upmOZaUEEedQH/Z5FRUGAEBAehTbP+QcPHUQQb07VYCEZVdVq0YXVqOHz/Ogw8+yJ07d2jatCnNmjUjJSWFCxcuEB0dnavf8ssvv+SFF17A0dGRvn37otFo2LJlC5mZmXz99dc888wzNt1fVowWFZnZbCY0NGtX9saNG5e7T396vZ4XXn2fIZP/a3Xsm1YuoGW7HlQPyNo2RVEUNi78nA/efL5I22cIUdbs23+QvWdu0qbbIKvK6/U6diz5gs//Z9uY37KqWLfNKA1xcXE0adKEjIwMFi1axLBhw3KcP3LkCO3b/7M786VLl2jatCmOjo7s3LmTTp06AXD58mU6d+5McnIyoaGh1LNh/yZJgoQo266HhfHlj38zYMLMQvc92hWyDB+/KrTq0BPISoC2LvueqeMH0qxpk3sQrRD31sJFS4nJcKN5hz4FltPrtGz6+3Pee/0F/Pzsm1VW1lj7/m1Vd1h+IiIi2L17N7du3UKny38Qlj2zw95++23i4+P59ttvcyVAQI4ECGDevHmYTCaeeeYZSwIE0KBBA15//XVmzZrFvHnz+Prrr22ORQhhv9TUVG7fvo2iKPj7++Pt7V1s165TuzYvPT2JL777HP/gFrTs1C9Xq9CV8yc4eWgnzdt2o3HL9iiKwrlju7lx6ShP/Wci9evbv7GtEGXZIxPGsXrtBrYs+ZqmHQZQM7h+jvMGg57jezaQHh/G3Ddn4+PjUzqBliK7WoKMRiMzZszgt99+s2oAtK1bZ2RmZlK1alXMZjNxcXG4uroWWicoKIjIyEj27t1L165dc5yLiooiMDCQoKAgwsPDrY5DWoJERabX6/nggw8AeO2114p153NFUdi5aze79x3C0cWLSv41UKlUJMTfRp+eSNvWzRk8aECxdsGdOXOWFes2YVCcMJlBrVaRGHuLzIw0agTVw6yAWgWOGBg2sDft2j5QbPcWoiwzGo2sXruBE+cuo6idMZsV1Jhx16iYOHY4derUKe0Qi12Jdoe99dZbvP/++/9cJJ/+Q3t3kd+7dy/du3ena9eu7N27l5CQELZu3YpWq6VBgwaMGzeOGjVqWMonJSXh65u1emxaWlqeizxVqVKF+Ph4mxIaSYJERZaenm4ZB5Pf3409UlJSmPPBJ7Tq2I/GLR7I8/Xh2qXzHNixhv/OeoZq1aoVy32FECJbiXaHLVy4EMhKfkpiOvyFCxeArLVARowYwZo1a3Kcf+2115g/fz4TJkwAsCx37+vrm+8Lea1atYiPjyciIoLmzZvnWUan0+Xo1ktJSSnycxHifpKRkcHb73/MmCnP43rXDKx/q9uwKUF1G/Lxl5/xxsszK8w4BCFE+WJXW/TNmzdRqVQ4Ozvz7bffcvbsWcLCwvJ8XL9+3ebrJyYmArB27Vo2bdrEt99+S2xsLOHh4bz44otkZmYyefJkTp06BWR9igVwc8v/RTc7OUpNTc23zIcffoi3t7flERAQYHPsQtzPvvj6O0Y+8kyBCVA2R0dHxk99gc+/+v4eRCaEELnZ1RIUFBTE1atX6d69OzNmzCjumDCbzUBWP+bcuXN56qmnLOc++eQTIiIiWLZsGZ988gl//fVXsd331VdfZdasWZavU1JSJBESwkopKSmYVK54eFrfdezk7IyPfxAREREEBVm/3o8QQhQHu1qCpk+fjqIoXLx4scBZYfa6e72OqVOn5jqffWz37t05ymdkZOR7zfT0dIAClwPXaDR4eXnleAghrPPXoqV06zfc5npdew9myfLVxR+QEEIUwq6WoNmzZ3PgwAHWrFlDz549ef7552nSpEm+U19t3Zk5+xOhm5sbVapUyXU+ODgYgNjY2BzXT0xMJD09Pc9xQdHR0TmuLYQoXgnJaXj72D62x1mjQWswl0BEQghRMLuSILVazcyZM9myZQtHjhxh4sSJ+ZZVqVQ270jbunVrIGuqvE6nQ6PR5DifkJAA/NMC5OPjQ2BgIJGRkZw8eTLPKfLx8fEEBQVJ644QJcb+VWYVpfyvUCuEKH/s6g7bvXs3AwYMQKvVAoVvpmqrwMBAWrZsiaIoli6vf98f/kmWAMveYMuXL89VPvvY0KFDbY5FiIrKxcWFI0eOcOTIEVxcXIp8vaKstF8BVukXQpRDdiVBb775Jnq9Hsi9u3xxefnllwF48cUXuXXrluX4qVOn+OyzzwB48sknLcdnzsxaNv+HH37g0KFDluNXrlxh7ty5ODo6MnPmzBKJVRQfo9FIYmJiiYw1Ezk5ODjQrl072rVrV+iWE1ZdDzMGg8HmeoqioJj0Rb5/aVIUheTkZNLS0krsNVEIUfzs6g47efKkZQG0rl270q5dOzw8PIp19deJEyeyZcsWfv/9d5o0aULnzp3JzMzkwIED6HQ6HnvsMcaOHWsp37BhQz755BNmzZpFt27d6NevH87OzpYNVL/66iub9g0T947RaGT1mjWEXrqKg5ML7u6eaLWZaDPSqFLJhwkPjbMshinKrjGjhrF220Z69LdtcPTZE4fo26t87lx99NgxtmzdgQkHPD29MCtm0lJT0DiqGDl8KA0bNiztEIUQBbArCXJ3dycjI4M2bdqwZ8+e4o7J4rfffqNLly78+OOP7Nq1C5VKRZs2bXjiiSeYPHlyrvIvvPAC9erV45NPPmHv3r0AtG3blpdffpkhQ4aUWJzCfidOnGT5qnX0HTSSiZ0H5DqfkpzEj78uJKBaZR5+eEIpRFhx6fV65s2bB2S1pBZ124y6deuSsHCpZaV4a10+e5jJo18t0r3vteTkZD7+9Auate7A+MlP5Xq+RqORvbu2snT5Kv770qxi3ZJECFF87No247HHHmP+/Pl06NCBgwcPlkRcZYJsm1Gyjh07zs69hxn1UO6E9t9OnzhC4u0I/jNtSskHdp8oiW0zLl2+zN/LQxg+4TGrym9bv5Tu7ZvQsUP7wguXEampqcyZ+z+mPP4CLoXsa5iYcIcVf//Ce+++haNjkfarFkLYoET3DouLi6NDhw5ERETw8ccf89xzz+Hk5FSkgMsiSYJKTmZmJu9/+CnTZswqvPD/27tzC/WDq9Glc6cSjOz+UVJ7hx09dpzVG3cwbPxjOOXTAmIymdi0aiGd2jSib59exXLfe2XO+x8ycsJ/cHOz7vsVF3ubw3tCmPns08UWQ1xcHIsWLyU9U/f/wxBUGI06mjVuzJAhg4pljJcQ5VmJ7h02fvx43N3dURSFl19+mffff586derkuU6QSqVi+/bt9txGVGBLly1nyKj8l1bIS9ee/Vj8+3eSBJVx7do+QI3q1fjz719J1yl06DGIajUCUKlUxMfGcHDXBpzQM2HMiHI3Tu/GjRv4VKpmdQIEUMW/KmkZerRabZFn4Wm1Wr6c9zUady8eHDwGd3ePHOevXr7I3P99SqvmTRg2TGbDClEYu1qC1Gq1pQ/87ur/7he3dxf5skJagkrOnPc/4uH/PGNzvXWrFvPQqMGy83gxKKmWoLvpdDrWrd9I9M2bKGaFqv6VGTZ0SI5V4cuTz7+cx4Dhj6CxMZm5dfMG4ReP8cjDtiX+d8vMzOSdOXN5eOoMvL19Cix7cP9ujBlJPPKI/fcTojwr0Zagu9kyAFIIgNu3b+PnX92uuj37DGTDxhD+My33diqi7NFoNIwZPbK0wyg2Or3Z5gQIoHqNmhzYubFI9/740895ZNpTeHnlvTL/3Tp16cGeXVvZsXMXvXv1LNJ9hajI7EqCAgMDJfkRdktISMDb1/btFQA8PL1ITU0r5oiEsE5RVgAqSt0rV65QM7CeVQlQtu49+/Hn/G8kCRKiAHYlQeHh4cUchrifKIpCepp9iYzRaMTRqfzOsjGbzWzevIXTZ87g6OiMWTGjKArRUZF4eXnj6+uHWTFndSMbDQweNJDmzZvne73IyEhWrFiJwWgClQq1So3BoKdxowYMGTLE6hlJr7z6Os4aV9QqFRkZ6aSnp9GieTMmT55EpUqVrLpGcnIyS5YsJTEpBdX/d5mbTEaqVqnMuHFji6W7zWg0sn79ekIvXsbR0QkFBRQFJ0cHRo8eZfM+hbZSq+xfCy0sLJyPP/0cFAVXVxfGjxuLv7+/VXVXrV7L6InTbb5njYA6XLp0SdYrEiIf5ffdRJQ7iqLw66+/ERMbj95oX0vipdBzNG7UqJgjuze279jBwYOH6dq9N1OnPwXAmdOn2L1rOwMHD6fNA+1ytLCazWZ279rB8hUrmTZ1So7Nf1NTU/ly3tdUq16T0eMfzbW/3tUrl/nok89o0awpQ4fmXiPLbDbzy/z5TJ32GD1796FvvwE5ZhTFx8exbs0qXnntDerXq8sLz8/Mdwao2Wzmm2++xYSaQYOH4eOTc2HLuLg4vv/xFzw93Hj8sel2tyKvW7ees+cu0LN3Pzp165vjnE6nY3PIemJu3eD5mc/i6elp1z0KYzTat5K50Wikeo0aTJ76OJA1HmvZyjWkpSTx/Mzncv38/s1gUuyaYt+jd3/WLFsgSZAQ+bBrYPT9QgZGF6/PPvucth270ahRY7799msemfa0zVN5F87/hrdef7ncdceuXbuO5NQM+g8YbDl2+NABIiLCGTe+4MGrZrOZn374hocnjKNevXokJyfzv48+4fEZz+Hm5lZg3b27d2HQpTFhwkM5rvfe+3MZNHQUgYFBBdSG69eusnrVChzV8M47b+VKhMxmM3Pee59hI8dRs2atAq917eoV9uzaxn9fftHmn9+iRYtx0njQrUfPAsulp6fz0/df8eorL+c5W7WoNm7cBBpfGjZpZlO9bZvW0axJQ+rVq5/jeGJiAr//+hPvvP1mvomQoij879N5TJxk3dpL/7bi7/nMeuE5u+oKUV4V68DoadOmAdCuXTtmzJhh+doaKpWK+fPnW11eVEwL//qbNu0606hRYwD69u3H7u2b6N1/cCE1/5GclEiVSj7lLgE6c+YMMbHxDB/5zzYvN2/e4MKF80ydVvgbm1qt5okZz/L1vE958/VX+fSzL3jiqZm4FrJQH0C3Hj3Zvm0ze/fuo1u3rgD88ONPDBoystAECKBO3XoMHT6CfXv38OW8r3jpxdk5zn/3/fcMHTG20AQIoG69+pjMJhb8/gdTpxS+QGa2vXv3oaidCk2AIGs1+yeffp5PP/uC9+a8Y/U9rDVgQH/enfuRzUlQRNhVRgzL3SLn6+vHlP88wWeff8Frr76S/wXks6oQJcKqJGjBggWoVCrS0tKYMWOG5evCZE+RlyTo/mYymYiIjKLfgGGWYw0bNmL7tq3cvBFFjZoBhV7DaDSy+I8fePuN8rW9AsCGjZuYOn1GjmMb169l0pT/WH0NlUrFmHET+ezzz2nZuq1VCVC2Pn0fZP5P39CtW1cyMjJIz9ASGBSMwWDgzz9+A+DRSVPz7e6qX78hO7dvw9XLk/j4eCpXrgxktbpodUZq1Sr855etQYNG7Nu9M2tsl5XdO3v37eM/j1u/nIKrqystWj3AyZMnad26tdX1rKFWq+nc/gH27NhM994PWlVn5dI/6dunb77nfXx8qVylKlFRUQQE5P5eZo+tsodOp8PRURZOFCI/xbfjqRD5CAkJoWv33rmOPznjaULWLOXalYsF1k9PT+PX7z5l9vPPlshaNiXpzp07uHt45vjQoNNljSuxdT+pGjVqcvHSFbp262FzHP5VaxAWFsbSpcsYMDBrET29Xs9r/53Na/+djV5f8C7u/R8ciLOzhsVLllqOLV26jAGDhhVQK2+9+vRnzZo1VpUNCwujarWaNt+ja7cefPzJZ7z//ly++PJL5s2bx1dffUVERITN1/q3Bx/sj6cLbNu0tsByiqKw7O/fqF+nNk2bFdxy9ODAoaxYsTLf826uzmi1Wptj3b55PSNH2P4zEuJ+YXUS9O+hQ4qiFPoQAiD04mVLN9jd1Go1z818gbDL5/n1hy85dGBPjt+b8OtX+OJ/77J9w1LefP2/VK1a9V6GXSxWrVrNoCE5d1Xfv28PPXrlTgoLoygKNWsF2NUd+ODAIazfsJHYuHj87fg+Bteuw507d7hx46blWPydBKpUqWLztWrXqcu1sHCryq5bvyHHOCprqdVqGjdpire3D+lpGQwcNJSHJjzCrl17+PB//+Ps2bM2X/NuY0aPolXTeiz67Vs2rF6KNjPTci41JZllixbw+89f0a1rFzp17lLo9VxcXNDp82/tGTdmNNs2r7M5zoT4mDxbl4QQWaxqjzabzQV+LURBChr8rFKpGDFyFAAnT55g8R8/Zh1HRY2aNahVw58XZj57T+IsCWnpaXh65hyUFxcXS/v2HW2+VmZmJn6+1k1X/zdnZ2dMJhMqtf2Nvw6Ojjg4OLFo0SImTJgARRib5aC2rivMZDLZvQO7p6cXY8aOw9HRka+/nsfoUWMYPiJr4cZFfy8kISGBHj1sb1XL1qF9Ozq0b8eNGzdYtXoZOr2es2fO0bJ1G0YOzz1LrjAqdf7fz1q1apGecofY2zH4V7VutfSNa1fwYL8+NsUgxP1GusNEmdG6dRsee+wJHnvsCaY/9jiDBlm/zk1ZpcpjXRkHtQMms+1byTg4ONg9NiSbuoiDyj08PXFz8yQkJKTI17JGUQbBm0wmHBwccHJy4oUXZrNs+TKSk5IAmDDxEc6fv8D58+eLHGPNmjV55ukZzH5hJi1bNmPiw4/anABB4c919gvPs27FQm5ERxV6rZB1KwmqWYW2bR+wOQ4h7ieSBIkSZzIa7e4eNRoNxRzNveVfpTIxt27lOFazVi3Crl+3+VoajYY7d+LtiiM1NQU3V9cifT8Nej1Gg54ePXty6tRpjEb7EzJr43BzdSU1NcWue2RmZlhakVQqFU888SQrVq6wnJ8w8RHWrbO9i6lAimL398VUSD0HBwfeeftNTh3ZzZ+/fk90VGSO82azmb27trHg569o3qQegwYNtCsOIe4nxZIEhYaGMmvWLAYPHszw4cP573//W+Q+d1FxdOvWhSOHD9hcLzo6isDAwqdel2XDhw9ny6b1OY516NiZQwf323W927duFjqIOS8b169hzJjRNKhfj6tXL9tc/9TJE9SqFWBZPbpT5y4Y9DrCrl+z+VonTxynfbu2VpUdPXoUIRsKHoCcF71ej8O/uv48PT3JzMiwbOisUqnw86tMTEyMzdfPz+DBg9i2dZPN9ZKSEvH1KXxdI7VazVMznuDl2c8Rde0MS/74iSV//szSv35h2cKfaN4omLffeJUunTvZE74Q9x2rkqCtW7fSu3dvevfuzeuvv57j3MaNG2nTpg3z5s1j06ZNrF+/nk8//ZTWrVvz5ZdflkTMopzp0KEDZ8+csrne1s0bGT1qVPEHdA9lLWZoztE6oFarcXd3t7mF4+LFUHr27M7WzbZtxJm1TUkqfn5+DB06lD07t9tUH+DggX3Ext5m+PCsQd6tWrXG0dGRHds223yt40cP0rOndWNxKlWqRFpqis0tiZtCNjBkcO51ebr36Mm+fXstXw8ZOqzAWVm2atCgATeibJ+BtnH9WsaPH2d1eWdnZx4aP56XX3qBl198npdmzeTll2bTsmVLm+8txP3MqiRo+/bt7Nq1i927d9OkSRPLca1Wy/Tp09HpdLlepMxmMy+99BLHjh0r3ohFuaNSqWjXtg27dmyzus65s6epUb1qodsJlAcPjR/HHwt+yXFs+MjRzP/5R6vf3LVaLZs2rGHq1KncjrlJ7O3bVt9/yaI/GTUyK3lxdHSkbt1gjhw+iEaj4c+/l/Hn38sK/D7v27sHD09PPD3dc6xQrdG4UKd2ECdPWP83vn/vblq1bGHTWJ9RI4ezZNGfVpePvX2bWzeiCAzKvY9YvXr1iLxrmrybm1uRuvXy0rtXT9avXWV1+evXrqJxdsDHx6dY4xBCFM6qJOjEiRNAVp/0kCH/fLpatWoVMTExqFQqVCpVjunxKpUKs9nM999/XzKRi3Klf79+KCadVYnQ6VMnCD1/ikmPPnIPIit5AQEB9O/bm99/+9mS9Hh5eTNi5Gi++fqLQt+E01JT+f6bL/jvyy+iVqt56cVZLFvyJzduRBd676WLF9K6ZfMce0eNGzuWm9HhHD1yiH79B9Cv/4B8B6Dv27ObM6dPYtBpmTgh9/YeDz00nrBrlzh27HChsezdvYu01EQGDx5UaNm7NWzYkNYtm7N08cJCy964Ec3fCxfw1FNP5Xne0dERoynnoPTiXs6jY8cO+Ff2ZeP6wtdCunz5Irt2bGHGk08UawxCCOtYtXdY/fr1uXbtGs2aNePMmTOW45MnT+bPP7M+oalUKp588knefPNNVq5cyTPPPINKpaJBgwaEhoaW3DMoQbJ3WPHbum0bR44co3HTFnTu0i1Hi8CZ06c4fHAvDRvWZ+yYMaUYZcm4cuUKS5ctx9+/Og8OGopGoyH29m2WLV2Er58fw4ePwt3Dw1I+Pj6OkA1rMZsMPP3UjBwLRZrNZn76+ReSklLo3W8AQUHBlnMGg4GtW0K4ERXBsKGDadGiRZ7xrF69hvUbQxg+cjTt2nW0/CwUReHwoQPs27uHpKQEOnXsxKg8uiXn//ITs2fPAmDV6tWcPx9K2/adad3mnxlJiqJw5PABzpw+yQOtWzFw4AC7v39nzpxh3fqNVK8ZQP8HB+VY4ToiPIytW0Jwd3Nl0qTJqPNZCiA6OpoTx48z7P+79cxmM78vmM8LL7xgd1z52b//ALt276FOvYb07NUnR0yXLl1k7+7t1KpZg0mPPlLutoIRoqyz9v3bqiSocuXKJCYmMnjwYNau/WeQYv369bl+/TqKoqDRaIiPj7e8UDdr1owLFy78/9iH1GJ4SveeJEEl5+jRo+zavQcHB8es1kOzmVatWtKnT+8K/4YQGRnJqlWrMZmzFxVVcHV1waA33HUMfLy9GD9+HB53JUb/ZjAYWLNmDeERkahU6qxWWRSGDh1CvXr1CozDYDDw5JNP4ujkjIeHFxkZGajUajIy0vFwd6dXr9706tUrz4Ti5s2bnDh+hEce+ae1TlEUdu/ew7Fjx1Gp1ZbtHrp360r79u2L7ed69epV5rz3Pk2aNs+6r9lMzZo1GDhwUL5bf2SbP/8Xxo9/yPI93bVzB0FBAcW+vcbdzp49y+YtW1GrHSwt5Q0b1mfQwIE2byAshLBOsW6gmpKSNYDTdFczcmJiIteuXbN0hXXt2jXHJ9W6dety4cIFyxYBQtytXbt2tGvXrrTDKBWBgYHMnFk8u3o7OTkxxs5WM71ez6+//gpA9I0Ym7YkCdm4nqefztnlpFKp6Nmzh9WDnu1Vr149Bg54kGbNW9m0GrLJZEKbmZkjqQwNvcCIEt5Wonnz5jRv3rxE7yGEsI9VY4KyXxzv7tbati3n2I6uXbvm+DojIwMgx0BKIUTZdOPGDavLRkZG4ubmhouLSwlGVLBRo0axdMkim8bzLF2ymAcH/NMdd/jwQVq0kOREiPuZVUlQo0aNUBSFiIgIZs2axbp163jrrbcsg6EBevbsmaPOxYsXUalU1Kxp++aHQoh7a/XqFdz616KOeYmOjmb1quU88cTj9yCq/Gk0GiZNepTvvvvGqm181q9bi3/VqtSrVx+AEyeOEx4WxuDBtu9LJoSoOKwaE/Thhx/y+uuv59mnrygKtWrVIjw83DJ24PLlyzRq1AiVSsXIkSNZvnx58Ud+D8iYIFGRpaenW7qGkpOT+fXXX9G4uDJkyDA8PT1zlE1JSWHD+rXo9TqeffbZfAce32thYWEs+P132rXtQJeuXXO9Rl28eJHNm0No+0A7unTtSkxMDBs3rKNqVX8efvjhUopaCFHSinVgdFpaGi1btiQsLMzS+nP3vwsWLODRRx+1lH/ttdf43//+h0ql4pNPPmHWrFnF86zuMUmCREV2dxKUlpaGu7s78fHxLF26jLS0NMugXZPZhKeHJ+PGjbWsGF3WHD16lB07dlqm+hsMBsLDw0Glom6dOjg4OGA0GqlevRpjxozB1dW1dAMWQpSoYk2CIKsZ/LHHHmPLli13rXXixTvvvMPzzz9vKZecnExwcDDJyckAXLhwgUaNGhXhqZQeSYJERZZXEiSEEBVBsc4OA6hVqxYhISHExcVx/fp1nJycaNasmWWDwmwajYZTp04BWbNFAgNzr9oqhBBCCFHarE6CslWpUoUqVarke97FxYWgoKAiBSWEKHkajYalS5da/i+EEPcbm5MgIUTF4OjoyNixY0s7DCGEKDVlY4qHEEIIIcQ9Ji1BQtynjEYjq1Zl7XY+cuTIfDdRFUKIikpe9YS4T+l0OsaNGwdkzQ6TJEgIcb+RVz0hRC6KopCcnExycjIeHh74+vqWmQUSS5terychIQGj0Yifn59sDSREOSZJkBDCIi0tjaWLFhMXdZPKnt54e3iSnpnJ7eQ7ePj5MnbiQwXODq3ITp08xZb1G3EyQ1VfPxzUDsQnJ5Jm1NOq/QP0e/BBSRSFKGfKbBLUs2dPdu/ene/5kJAQBty1GWK2BQsW8N1333HhwgWcnZ3p2LEjb7zxBp07dy7JcIUo93Zs28axXfsZ138wVTr1yXU+LSOdZT8vwKdWdSZOeqQUIiwdOp2Oj9//gJZB9ZgxfHyeic7ZS6G8/fKrzJg1kxo1apRClEIIe9iVBM2ZMweAJk2aMGbMmDzLREZGkpSUBECLFi3siw4YPXq0ZVXbu+W1Mevzzz/PvHnzcHV1pX///mi1WrZu3cqWLVtYvnw5I0aMsDsOISqy7du2kx4Zw9MPTcq3jIebO5OHjeHI2VP88etvTJo29R5GWDqMRiNz33qHx4aNw8/bJ99yzRs2pnHd+nzxxVfMePEFqlateu+CFELYzeptM+6mVqtRqVSMHj3astjav40dO5aVK1eiUqkwGo02B5bdEhQWFkZwcHCh5bdt20a/fv2oVKkSBw8epH79rN2iDx48SM+ePXFzcyMsLAwfHx+rY5BtM0RFdve2GR++9jbPTphsdd2Ne3ZQp31LHmjbtqTCKxO+m/cVA1p2pGpl67oADQYDXy37g7c+eL+EIxNCFMTa9+8S68BWFMXyuBc+//xzAN544w1LAgTQqVMnnnzySZKSkpg/f/49iUWI8mZc/0E2lR/YrRfbQ7aUUDRlg16vJzMxxeoECMDJyYkmAXW4cOFCCUYmhCguJZYEhYeHl9Slc8nMzGTHjh0AeXbPZR9bt27dPYtJiLLO2dmZ+fPnM2bYCPy8fGyqq1Kp8HR0JiEhoWSCKwNWrVjBwE49bK7Xv3N3NqxaUwIRCSGKm9Vjgnr37p3r2O7du/M8fuvWLS5fvgxk7SVWFPPnz+fOnTuo1WoaNGjAiBEjcm3KeunSJXQ6HVWqVKFWrVq5rtGmTRsAzpw5Y1cM6enpODg42FVXiLKsVatWeGaa0RsM6A0Gm+p2ataakA0bGTFqZAlFV7rCr1yn14AWpGdk2FzXpNWTnp5eAlEJIaxh9d+fYiWVSqWo1WpFrVYrKpUqx9f/ftx9rnXr1tbeIocePXooQK6Hk5OTMmfOnBxl16xZowAF3svHx0cBlJSUlHzLaLVaJTk52fKIiorKMwZ5yEMe8pCHPORR9h/JyckF5hol0h2mUqks44GeeeYZu67RvXt3/vzzT65du0ZGRgaXLl1i7ty5ODo68tZbbzFv3jxL2bS0NIACFy1zd3cHIDU1Nd8yH374Id7e3pZHQECAXbELIYQQouyzenZYcHAwKpUKgIiICFQqFa6urrkWTss+Xq9ePSZNmsTo0aOLNeAtW7bw4IMP4uPjw82bN3F1deXvv//m4YcfpkuXLuzbty/PerVq1eLGjRvcuHEj33U8dDodOp3O8nVKSgoBAQHcvHlTZoeJCic9Pd0ylfv6riO4u9q28vGuowcJfKAZzZs3L4nwSt0PX3/DmC59cdXY3qX/09qlvPDqyyUQlRDCGikpKdSoUaPQ2WFWjwm6e6Bz9mJhgwYNyneKfEnp378/bdu25dixYxw+fJiePXtapvlmFNB3n90/6OnpmW8ZjUaDRqPJddzd3d3SkiREReTm4oq7jds/XI+9ybiO00sootI3cfIkQv5azvgBQ2yqdynsGs0faC2vGUKUIpPJZFU5uxZL7N69OyqViqZNm9pTvcjq16/PsWPHuHXrFoBloHR0dHSe5dPT00lKSsLX17fAJEiI+9Xe44cZ2D33JIf8RN68QVCDuiUYUemrXr06sWlJmM1mm7bD2HJkPy+980YJRlb+JCcns3Th36TExFvedAwo+NWqzriHJ+S5IK4Q94JdSdCuXbuKOQzbJCYmAv+M82nYsCEajYa4uDhu3LiRazXpEydOAEVbuVqIiuxiTBQtb8dQo2q1QsumZ2Tw97b1vH0fLAg4btLD/PT7Xzw51rptQjYf2E3rzh1kNun/M5vNfP/FV5CUzvCOPfFr4Z3jfFxSAr/970s0VX157JmnLEMuhLhXirR3WEZGhqVF5u6xNP82aVL+S/HbKi4ujr179wL/TH13dXWld+/ehISEsGzZMp5//vkcdZYvXw7A0KFDiy0OIQqjKAr7du/h5JFjKGYFlVpF6/Zt6dqje5Fe7DMzM1m1bAWxN25yPew6mWkZBNetjZeXN1169aBN2wcKvYZer2fV8hWWrzUaZ+ZvXMmYHv1pXKdevvVi4mKZ890XNGvRgu1bttJvQOGbhhqNRtatXkPU9XBQFFQOavoNHkSjxo3yLB8eHs7GVWsx6vWoVCqq1KjOiDGjirzcRjZFUdi7ezenjhzHoNdz9cpV3D3cCQgIQOPmyvCxo6levToAderUoc/wIXy75A8eHzUBJyenfK+5esdm3Gv68+DA3Hsa2spgMLB21WpuRkShmM2oHR3oP3QwDRo0KPK1L1++zJZ1GzAbTajUamoEBTBs5Ih8n5u9zGYzH7zxNmMf6E6Af/U8y1Tx8eM/D47ganQkH7/7Pi+//YYkQvdQWloaK5csIyn+DoDl979atcI/DFUUdm2bATB37lw++ugjq+biW9s3l+3AgQPExsYydOjQHJ+owsPDeeSRR9i/fz/Dhg1jzZp/FiQraNuMXr164erqKttmiHvCZDLxxy+/cft6BB3rNKZdw2aWGZPHLp3nUFgo/rUDmTR9qk0tBrdu3eLv+QswJ6djTM9EpVLTu21HmtXJemNUFIXtJw4RGneD2s0bMXbCQ7neUBITE/njx18wJqXRo1Er2k0dBcDNdfvZffYYO84ew8fPly4tH6B3hy6o1WoUReHQqRNs27OT4MrVmNB3ME6OTpy9fpldoafwrlmVKU9Mz5WkJCcn88dP89HfSaZ/8/bUrRVo+f5sPn6Aq4m3ad6xLYOHZX042b1jJ4e276aWuw+D23fH+f/flG/ExrD+xAEUDxcenj7F7n25jEYjf/zyK3HhUXSs3Zi2d/1cjlw4w8GzJ/Hx8MTZ3ZU7Ri29hwygXccOWTHcuMGShX+B1sDQrr0tLWap6Wms3bWNJH0G/QYNpPUDbeyKLVtiYiJ//jQfQ2IqA1t1JLh6LUvsm47tJzwlnpad2/PgYNtW+AbYvH4jpw4eobZXZQa07YKjY9Zn4PBb0Ww6fQgHbw8mPTEdX1/fIj2HbD98+TU9azUksKp1G8pejg7nZPItpj75WLHcX+QvIiKCpb8vxEVnZlj77lTx8QMgQ5vJ2sO7idNn5Pj9L4+sff+2Kwn66quvcrW25Lrw/7+4qFQqm5OgBQsWMHXqVKpVq0abNm3w8fEhIiKC48ePo9Vqadq0KTt27MDf3z9HvewNVN3c3OjXrx96vZ6tW7eiKIpdG6hKEiRspdVq+fCNd3i4Qx9q+ef/aepm3G3+OLiV1+a+a1ULx7kzZ1n/xyImdO3Pj6sX89ToR/Dz8s63/MXIMDZfPsnL77xhSbTCw8JZ8OW3PDd4PC4aDemZGfgP7AhAbMghy+ywA+dPsScilCrV/Dl28DCBXpXp2rINXZs/kOen9ISUZH7YtooX333T8iEjOjqanz/+kmcGjS1w1tnRi+c4k3ILD09PKuvU9GnVPt+yeoOB70KWMWr6JBo1blzo9+xumZmZfPjGO0zq1I8aVfJPoqJjY/gzZDUvPDSVracO4xBQmTETxue4zppVq4mLiQHAxc2NEaNH5Zola4+I8AgWfPktzwwaW+CMtIMXTnNZm8CMF56z+trffT6Phq6V6NSkZb5lMnVavglZxpTnnyYoKMim2P8tIyODn+d+ymMDRtlU7/uNy3huzhvF3iol/nHs8BH2rNrAY/1HFvghbO2h3TgF+TP6oXH3MLriU6JJUOPGjbl06ZIl0SmIPUlQaGgoX3/9NYcPHyYqKorExETc3d1p3LgxY8eOZcaMGbi6uuZZd8GCBXzzzTeEhobi7OxMx44defPNN+ncubNNMYAkQcI2ZrOZ9199g+ndBuPjWfjvS3JaKj/tXs+b/3u/wC6lqKgo/v7qBx7vP4pP//qFFx+ejsbZudDr34iNYc3Fo7z45mskJCTwzZyPmD3iYUsiYzAa+HVdVpfYtKGjcXL8543n9PXLzN+6mldGTS4wacim1en4YuNi3vhoLlqtls/feo+XRjxq1YDi89evsHrvNl6fPKPQsoqi8NW6xUye/Uy+S138m9ls5t3/vsaTPYfh7VH4xIik1BR+XLWYlx6Zzs7TR3GoW41BQ22bIWarhIQEvp7zP2YPf9iq79nZsCuc18Yz7cnHCy376w8/0tSlCs1r1y+0rNls5rM1f/Hc268WqUXo919+pVvlOlSrVNmmemE3o7igpDD2ofGFFxY2u3zpEpt+X8L0B61b5X3riUM416/BwCGDSziy4leiSZCLiwuG/19i/z//+Q8DBw7E29s736yyR48ett6iTJAkSNgiZN0G/OK1NK9j/biN82FXifNzYtCw/N9kP3n7PWb0HMairevp264LVf0qWX39LccPUKdPR7at38TU9n2tSp6y/bhqEWN6D6SSt49V5W/diWN/YgTJCYlMaNEVN5e8P6jkZdGW9fR8oAPVKxXeomIymfhhzzpeeudNq669btVqaqSqaBxUx+p4Tl+5SFxSAn3bdebrDUuY/cE7lu6jkvDlhx8z6YHeuOSxREd+/ty+gdHPTady5fwTjbi4OFZ+/QuP9rE+idPqdPx5YiczX3nJ6jr/9tnb7zOj7wi76v6wYw2z3n7d7nuL/P3v9bd5tt9om8ZdfbNhKbM/fKfcDfYv0V3k/fyy+g8feOABfvrpJ0aOHEnv3r3p0aNHng8h7gdnDx+zKQECaFq7HueOHM/3fEJCAp6KIyqVivikRJsSIIC+rTuyftlKVGlamxIggAn9h7Jmzzary1evVIUbl66hjUu0KQECGNGjL2v3bLeqrIODA25GFSkpKVaVDz1+2qYECKBl/Uacu5a1/+GAlh3YsGatTfVtodPpMKdk2JQAAYzs1Iulf/5VYJllf/7NyE7WL30A4KLRYExKQ6/X21Tvbo7YP7hZbdcoVVGYqKgoarh62zzwvH+L9mxcW3E3H7crCRo4cCCKopToJyMhypPo6GhquNjXWljT1ZvIyMg8zy3/azEjOvbk+MVztGts+8rMarWaG1fCGNwmd3ewyWRiz8mj7Dl5NM8uay93D9Iybds8tEWNYAI9besCAXDVuKA3GgrtXs82vENPVixaUmi5sLAwAtzt69ap5V+Nm3G3qV8rmCunztl1DWusXr6SIW262FzPw82NtJg7BZZJux2Ph42LYAIMadOF1ctX2lyvOKhUJbKb031v9aKlDO1ge6NEg4BgLp6wb/Px8sCu37a3334bb29vjh49mmOGlhD3q4sXLtAk0LbWhmxNAupwKTQ0z3OZKal4uXsQGn6dFvXynlJeGFcnpzwHaWv1Oga+8B8GvvAftPq8l7hwd3HFYLR+d/k29ZuQqrVv93Q/L29SM6yr6+flTWpCUqHlLoWG0tTen0vtelyNzkpOnZSSm7Yde+NmgYPoC+Lu6Jzv8iRarRYPJ/uWFQioWp2YqLwXn7WGAbPddY1FqCvyZ9YZbG4NzuZUgX8kdjXlLFiwgE6dOrFp0yZGjRpF165dad26taWb7N/eeuutIgUpREHCwsLYuGI1Jp0elVqNh68PoyeOv6fjuDLTM3F1tq07I5urRkNmej4tLv/fMKLVa3Gx8wXMUW1/i63G2RmtXp9j0HRBXDUuaAtYM6ywupk6HV7uVq4ebEWrkTYjE1dn+34PXDUuZOq1Vt/LXmaz/e8wrs4aMjMz89zuR6vV2v07CVjdKpeXes2bcCUqnPoBwTbVO3n5Aq065z9DUBRBUX6HS/D3v7TZ9er4zjvvoFKpLLPD9u3bl+/GpSBJkCgZe3bs4tDWHdRy9uKRVp0t68okpCbz5/ufk+HiwJgpD1O7jn0tAbbwrexHQuhNgqrXLLzwvySkJuPbIO+WAOX/++99PLxISE3G39e2MUEAGTqtZbkKW6VlZOBhw8aqCSnJ1icx/5KUmoKPFbO3sinqwp+PTyU/7ly/Q007WloSUpLw9fCy+l72UqnVNm/NkS0lMz3fZN/T05PkjDS7YjKbzajsiCfbkBHD+eKNOTYnQXsvn+G/096z+74if0oRFqFUivC7UNYV+ZkV9MJalE8SQhRk4fzfSDx8nme7DGVkux6WBAjAz9Obad0H81Tb/qz97jeOHjpU4vG0a9+ew9fz7tIqzKGrF2jfIe9FyRq3bs7Z65fp+UAHthzO/4NGQRzcXdl1+phddXUGvU3JU8ixfZjtfFVJzUi3urn++KXztGxf+MrYHTt14uDV83bFc+jcKVo1aILRaMSkKbnxj9379Wbn6aN21dU7qvJNnhwcHNA72vfGt/3UYXo+2NeuugCOjo4Et2jC0UvWj6Xac/Y4zTq1kxWjS0iNusFE3Lphcz2D0YDZpeKO/7U7CVIUpdCHECVh1ZJl+Cea6N+84GZztVrN4z2HcWhFCJcvXirRmDQaDSovN/QG68fPQNYCgCovtzy7MwD6DXiQ3RdPU8XHj/ikRJv/ru4kJ9GsXWvOxUTYVA/g7LXLNKmd/xYa/6YoCumOCrf1to8JuhYdSZ0aAVaX33/1HD169Sq0nIuLC4qHxqZxTQC6/9+yw9nJiZCj+xg6brRN9W3RqnVrLtyOsrleaMR1mrYreIXqJm1bcTEizOZrX4y7QYuW+S+saI2xEx/iUmYCh0ILH1S7+8xxYp1NDBkxvEj3FPkbMWYUG08dtLleyNH9DH9obAlEVDbYlQSFhYVZ/bh+/XpxxyzuY3q9nuuHT9GtkfUv0P/pPpjVv/9dglFlGTlxHIv3bLKpzpI9mxkxIf8XGLVaTZXaAYTdiqZbq7ZsPrTXpuv/tXsTYx+eQL2WzTj9/1O+raEoCvPXL6dP205W1wk5uo/eQwbSrMMDHL1ofQuAoigs2xHCwE7drSp/JTqCmo3qWt1iMPyhsSzds9XqeAAWbVnH0K690en1XEq4VSx7dhWkQZvmnLpmfaKuKAprj+1lwJCCt88YOHQIa47vsSl5Pnn1Ig3bFM9m048/+xQpvhq+2rCEY//6nVAUhQPnTjJv/RIIqsSk6dOK5Z4ib87OzrhVrcSt+Fir6+j0eq4kxlCvnvUfhsobu5KgoKAgmx5CFJdVS5czpJlt+9moVCr8HVy5ccP2pmBbBAcHU6NVYzYfP2BV+S3HD1CtZUNq165dYLkpT0xn1ZkD1KjsT0JqMkfOn7bq+kv2bKbb8Afx8vJi9ENjOXDzMldv5D0V/26KovDt+qX0Hj2E5fusWyfoUOgZMnxdaNu+HYOHDeV08k1CIwv/AKQoCt+vX0qqSW/VmJjouBg2XDzGI1OnWBUXQN26danSrB5bT1j3KXjTwT1Uq1SFapUq88W6RTz939lW38teI8eO4VDMVa5EF95ipygK329cxsSnphe6gJ2DgwMTZ0zn+43LrEqErkRHcCT2OiPGFF/L14ixo/nvh3NQ6lXlh13r+HnnOn7ZtZ4f96zHvUUdXvnfHAYOKdkVuUWWx597mj8ObiU+KbHQsnqD4Z79/pcmuzdQ/TdFUcjMzMTNjjUpyipZMbrs+eSVt3im61Cb62XqtCy6fpSnX5pVAlHlFLJ+A+f3HGJsl76WjQnvFp+UyLL922jcrb3V2zGYTCY+/+AjApw8yUxLJ12byZjeA/IchBwdG8PygzvoNWoInbr+s/6Moih89/k8PDJMDO3QA7VazbcrFgLw9OhHcHZy4nJUOCuP7OaRpx+jQcOG7N+zh92rNzK2U588Bxcnp6WyfP92qjSuzUOPPpLjXj99/R2OCemM6Nwrz72wrkVHsuLILsZOn4yHlye/fPYVQ1t3oVmd3Ns76A0GNh7ZS4ySyfOvvmzXIOINa9Zycf8xxnbpS2Wf3GsHxSUlsHTbRhoG1cHXy5stF47x7Gsv59qjsKQoisL3X3yFW7qBYR165rl44uWocFYd3c3EGdNp2Mj6JRMuhoay6If5jGrfg/q1gnOd1+p0rD28iwwPJ2Y8/5yMy6nA9Ho9n733AQ28q9K/TadcibSiKBy/dIGtocd47vX/Fsu+eKWhRLfNyBYWFsZHH31ESEiI5VO20Wjkxx9/5Pbt2zg4OPDaa6+V2z8oSYLKnnkvv83j3e371Pjz8W089/arxRxR3tLS0li6cBGxYZH4atzwdHEjVZtBoi6DqnUCGfvwBDw8bJ9FdfXqVdYuWU7q7XhiY27j7uJKjcr+eLi6k6rLQOekIqhJA0aNG5vvOKOoqChW/b0E3Z1k/Nw8cXFyJiE9lUyVicZtWzFo2NAcL4xarZaVS5cRFXoVTwdnfNw8SNdpSdCm4V2jKuMenZjv8hg3b95kxV+L0cYn4uvqiauTM4kZqaRjon6rZgwbOcKy6KrZbGZLyCZOHziCm6LG190TvdHInfRUHH08GP7QGOoUcaZfamoqy/5aRGxYFJ5qZzQOjiSnpXAzLhaj2UTN6jXA3YUOvbvRvWfPUnntio6OZuVfi9ElJOPnmvPn0+iBlgwePsyuLQyMRiMb1q7j0vHTuCoO+Ll7ojXoSchMRePnzaiHH6JWrVol8IxEWXTh/AU2rliNKl1HJQ9PHFRqEtJS0Tmp6NinO9169Ci3791wD5KgTZs2MX78eNLS0izNrNmbpb7//vu89dZbqFQqQkJC6N+/v33PopRJElT2zHvpLR7vYXtLEMBPR7cw8917uydRdgtpamoqnp6euLq6FssLi9lsJiUlBZ1Oh5OTEwaDAS8vr3w3Fs7vGmlpaWi1Wry9vfNNmu6WmZlJSkoK7u7uuLu7W/1cFEUhNTWVzMxMfHx8Cr2XXq8nKSkJZ2dnvLy87Gr5KSyejIwM0tLScHNzw2AwYDKZ8PHxKTM7mNvz87GWTqcjOTkZFxcXPDw8iv37K8oPk8lESkoKRqOxTP3+F5W17992zXuLiIhg3LhxpKWl5VgvKNtDDz1kWRto/fr15TYJEmWPuZytdaFSqXBzcyv2bmK1Wo2Pj0+RrqEoCpcuZQ3GbdOm4FlG2VxdXW1KtLKpVCq8vLys/jDh7Oxcot1QKpXKksiVVWq12qbvmS00Gs096+YTZZuDgwO+vvZtLVMR2JUEffbZZ5YEyMPDA0dHRxIT/xloVa9ePQICAoiOjubQPVijRdw/jK5OmEwmm7sDLkaHU7dF4xKKqnzSarW0b5+1zEBaWlqZTgiEEKIk2PXRePPmzUDWGhynTp2id+/cuxQ3bNgQRVFkirwoVkMfGs2m04dtrrf18kkGDbOvG00IIUTFZFcSFBUVhUqlolu3bvlO781uMk9JSbE/OiH+pVHjxlxIvoXOoLe6Tvjtm1SqG2jXYFIhhBAVl11JUPabSUEb/4WHhwNUqCnzomx45vWX+XzLMqtWZ76ZEMfyS4eZOuPxexCZEEKI8sSuJCggIABFUTh48CCxsblXn9yxYwdnz55FpVIRHBxc1BiFyMHPz49n57zOZztXcvDSmTwXgdMbDKw8sovV4ad47cP3ZPaLEEKIXOwaGN2rVy8uXrxIRkYGnTrlXGxp+vTpLFq0KEdZIYpblSpVeHfeJxzaf4BvQ0JwyNDj7eKGwWQi1aDFqbI3w6eOK3Q1ZiGEEPcvu9YJunTpEi1atMBoNKIoSo4p8nf/39nZmbNnz1K/fu4VYMsDWSeo/Mheh8bJycmuKdz3o/T0dMuCjTI7TAhRkZToOkENGzbkq6++4qmnnrIslvbvRdNUKhVffvlluU2ARPmSvQ6NsJ6TkxNvv/225f9CCHG/KdK2GZs3b+b111/nxIkTOY63bt2a9957j0GDCt7huKyTliAhhBCi/Lkne4dli42NJSIia/fjwMBAqlatWtRLlgmSBAkhhBDlT4l2h/2bv7+/LMEuRDljNpsJDQ0FoHHjxjKDTghx3ylyEhQZGcmtW7fQ6XT5lunevXtRbyOEKGaZmZk0a9YMkIHRQoj7k91J0MKFC3n77bctiyLmR6VSYTQa7b2NEEIIIUSJsCsJWrRoEZMmTcq1e7wQQgghRHlh1yCAjz/+uLjjEEIIIYS4p+xqCbp48aJlXaCxY8fSvXt3y6JrQgghhBDlgV1JkK+vL7dv36Zz584sWbKkuGMSQgghhChxdnWHjRgxAkVRSEtLK+54hBBCCCHuCbuSoLlz51KnTh3OnDnDzJkzuX37dnHHJYQoYU5OTrz44ou8+OKLsm2GEOK+ZPeK0ZcuXaJNmzZotVoAfHx88Pb2zn0DlYpr164VLcpSIitGCyGEEOVPia4YHRERQZ8+fdBqtZYp8omJiSQmJuYq+++NVUXpS0tLY9eWbcTH3Eaj0dCgeVPatGsrP6s8mEwmdm/bwY3wSBRFoVbtIHr07Y2Dg0Nph1asMjIy2LFpi+V3ol7TxjRv1ZLd27YTE3UDR0dHgurXpUuP7gX+nmRkZLBz81bibsWg0Wio07ghdRvUZ+/WHSQlJODu4UGL9g/QqHHjQmMymUzs2b6T6LAIFEWhZnAgPfr2xtHxn5eto0eOsOrPRSQnJOHl68OQ8aPp0q2rzc8/IiKCo3v2k5KUjLevD+17dCUgIKDAOlqtlp2btxJ78xZOTk7UblSfjl26yN+REOWIXS1B48ePZ9myZTn+2PO7jEqlwmQy2R/h/7tz5w6NGzcmLi6OunXrcvXq1XzLLliwgO+++44LFy7g7OxMx44deeONN+jcubNN96xoLUGXQi+y7re/0cSm0adKfaq4e6E3GTmfcINThjtUbdWQ8dMm4eLiUtqhlrr4+HiW/DCfzOu36O4VRKB3ZQCikuPZkxKJS51qjH/yP1SuXLmUI7Wf2Wxm985dbFu+hioZavpXqU8VD2/0JiNnb0ew+copqrp6MqF1D5wdHLmadJuD6TfxbhzEhMen5fibuHb1Kqt/WYjj7RT6VqqLv4cPBpOJc7cj2HzlJNXcvRnfMmvl+BN3IrjikEGdTq0ZOXF8ru067ty5w+IffiXz+k26ewYS6F0ZFSqiUuLZnRyBc3BVEjPSuHn0HB2q1KZXnWZ4aFxJ0Waw5cpJTtyJol63drz07hsFJiSKorBl3QbObNtHzUwHOlepg6fGlRRdJvtjr3HLzUybgb3oM/DBHPXCw8JZ9csfcDORvn51qerpg9Fk5kpSDIczb+HXtC4PPTZFZswKUYpKdAPVSpUqkZSUhKIouLm50bBhQzw8PPLde2jnzp223iKXKVOm8Mcff6AoSoFJ0PPPP8+8efNwdXWlf//+aLVatm/fjqIoLF++nBEjRlh9z4qUBK1dtIyEbccYV7cdDuq8WzFiUhP55cZRnvtkDlWqVLnHEZYdZ06cZOMX83m8fhfcnfNOCNP1Wn6+sp8Bz0+j5QNt7nGExWPFn38zZtLDANx59+88n2tsWhI/HtrEEx0H4O/hA0BSZjrfX9vP5HdfonbdOmxetY7IdXuZWLc9jvm0kMWlJfPjoU1M79Cfap6+AFxNuMWy1Cv89/MPcHV1BeDcqdOs++xnHq/XGQ+Na57XytDr+Hr/Oh5s2IZWNerkWWbP9XP8ce0w80NW4uzsnOu8yWTis9ffpUumN22r530NgIM3rnDCW8vzc95ArVazY+NmLi7dwqT6HXFyyLshPSEjlR/CDjJ97msEBBbcmiSEKBklmgT5+PiQmppKUFAQp06dKvEEYfv27fTt25fHH3+cn376Kd8kaNu2bfTr149KlSpx8OBB6tevD8DBgwfp2bMnbm5uhIWF4ePjY9V9K0oStGnVWnRbTzEgsHmhZfVGA59c2cl/v/v0vtxL6urlK6x9/xuebtLTqvLfhe5m6OtPU69B/ZINrJhtWx/C7VV7eeTXD4H8kyAAg8nIRztX8Hy3YZbExGw281nodpoM6oFh13lG1G5d6D2NJhMf7VrBM10G4+2S9buVrE3nu5jjvPntp0SEhbNyzjyeadzTqi6lHw+G0LteS+pXqZHn+avxN/nfyU38sW1trlbrj195izEOQdTyqlTofcKSYtnkHEf73t25/tcmxtZtV2gdk9nEJ6HbeXbeXPz8/AotL4QoXta+f9s1O6xz584oikKdOnVKPDnIzMzkiSeeoEmTJrz44osFlv38888BeOONNywJEECnTp148sknSUpKYv78+SUab1mj1Wo5u3qbVQkQgLOjE8/V6cb8T+aVcGRl09LPf+Cpxj2sLj+jUXeWfv59CUZU/PR6PSeWbWRgkHW/E04OjrzQfTgLjm23HFOr1TzfqBfrv11gVQIE4OjgwKzuw/nj2A7LMW8XdyZ4N2bxr3+w5PPvebpRD6vH1DzecQCrzx/K93y9yjUYVasFX3/0WY7ju7ftoH2Gh1UJEEBtH38axqtY9Om3ViVAAA5qB15o2Itf//elVeWFEKXDriTogw8+QKPRcPDgQY4cOVLcMeXw7rvvcv36dX744YcCp/FmZmayY0fWi+uYMWNync8+tm7dupIJtIxa8eciRtdoYVMdT40rxohYDAZDCUVVNl26eJEGZnebBraqVCoaKp5cunixBCMrXqv/XsKI6s1squPu7IIKFTrjP78TTg6OtKkSzJ30VKuv4+qkwcnBkQy9znIs2LcKV/cepY7RNd8u9byoVCqaVwviwu3IfMsMaNiGU5t25Th2ZP1WOtdsYPV9AHoFNMYz07ZGc42jE25x6aSkpNhUTwhx79iVBK1du5auXbuSmZlJly5dGDhwILNnz2bOnDl5Pux15swZPvvsM6ZOnUq3bt0KLHvp0iV0Oh1VqlShVq1auc63adPGcs37yY1j56jpbd0n3rsN8m/M2sXLSyCismvD70sYGGRbwggwILA5G34vPyunhx8+TZCPv831hjXtwNoLh3McG9+yK6vOH7TpOiOadczVgtPauQo1nWwfSNyvQSu2XTmd73m1Wk0Tz6qcOH4CgJiYGPxTbV8VRKVSEeTrb1PCBzCiVkuWzv/D5vsJIe4Nu6bIv/POO6hUKsvMry1btrBly5Z8y7/11ls238NsNjN9+nR8fHys2rA1MjLr02BeCRCAu7s7Pj4+JCYmkpqaiqenZ64yOp0One6fT6jl/ROcoihotPbNzKvt68/WKxeKOaKyzTFdj6O37VPfHR0ccEzXl0BEJUOTad/vRIBPZTaE5kwCvFzcMNo4+7Oapy8p2owcx3oGN2XhiV20C7CthcZB7YBzPgOUs3UMbEjI6rW0eaANp48dp61voE33yNamZh1CY6PoWruJ1XUquXuSeTvMrvsJIUqeXS1BdytsCqq9vv76a44ePconn3xCpUqFt2Rkb+Hh5uaWb5nsgb6pqXl/mvvwww/x9va2PApbJ6SsMxgMOBXhR6wYi760QXmiFGEpB8VoLMZISo6iKKjM9v9d5vU3XZS/82waRyf0Rvu6Xwu7v6fGldTEJADSklNwc9bYdR93Z1cy9Fqb65nvs78jIcoTu98hFUUp9GGvyMhI3njjDXr06MGUKVPsvo6tXn31VZKTky2PqKioe3bvkuDs7Iwes931VU52NRSWX45F+EzgWD4WT1SpVJjVWR9cHNUOPNFxAE90HIBjPssmlJR/vz5k6HW4OOWeyl4ckjLT8f3/JR+8/fxI1WXadZ0UbTqeLvl/yMqPqpz8bghxP7LrXS4srGSbd59++mn0ej0//PCD1XWyFybLyMjIt0x6ejpAnl1hABqNBo3Gvk+JZZXew743lrOxkTToZfv4mPJM7edJpkGHq5NtvwNagx6VX/lZTkDvmTXBQOPoxLzhj1td72JsNEG+OccS3U5NwtMl7/V88nPtTgzVvXJOG99w5Thta9Wz6TqQtaSDuZAPXLvCzvHoS1ljE9t17sjfS7fSyD/vbvOCHIm8zCMP9LKpTnRyPJXr2df9JoQoeXYlQUFBQcUdRw7r16/Hx8eHJ598Msfx7H3Kbty4Qc+ePQFYvHgx1apVIzAw64UmOjo6z2ump6eTlJSEr69vvklQRdSwe3uuHLtJ/Up5r6WSn53J4cwe/GwJRVU2jZo+ibVvf8P4eu1tqrc24hSj3nm6hKIqfs16d+XCvgiaVLEtEdhy+SRPdx6U49iS03v5T/t+Nl0n5OIxnug4IMexcBcDxvTbNCfYpmutCz3KkCb5T1s3mIyEG5KpUydrQURvb2/S/FyyugVtmAVoMpuITk3Idy2lfOOLCeXJtz+wqY4Q4t4p8pigkpKUlMTu3btzPA4fzpqZotVqLceyE6OGDRui0WiIi4vjxo0bua534kTW7JAWLe6v1o3Bo0ew+rZtA5xvpibg06S2TdOVK4KaNWtyw81s09gUvdFAtKsp3wH5ZdGA4UNYH38RRVGIS0smLi250O7r26lJuDlrcqw2nqrL5GzSTdxsaDmLT0/B2cExx2rLp2IjaNW/OzEe5JiCXxiDycj1OzG5Wqfutvj0XvpPGp/jWN8JI9kYbtss0TXXT6L3cbGpmz8pMx2HoMqyDY0QZViR3uUiIiL4448/+Oijj/KdHm/PFPn8xhhld8PVrVvXciw4OBgAV1dXevfuDcCyZctyXXP58qzp3kOHDrXz2ZZPjo6ODHxqMn9etm4ac2JmGgvizzDt+fLTslGcHnvrJT6/uBOTufDBrCazic8v7mT6Wy/dg8iKj1qtZuiz0/jx/G4C5k4lYO5UMgy6fMsna9P5+fBmpjzQx3JMa9Az7/penv3kXX65tM+q+6bqMvn+4EamtP3nOhHJcexxTmTI2FE8/tbLfH5xp1WzzUxmE5/vWc3ktr3zLbM/7AKnSGTC5EdyHG/d9gHuNPDjdFz+6wvd7WjMdfStAnlq7ht8f3GPVYlQhl7HN5EHeOyVWVbdQwhROuzaNsNkMvHkk0/y22+/WfWCUBwbqAKEh4dTu3Ztu7bN6NWrF66urvflthkAh/bsY/fPi5lcpwO+rrnXY1EUhWMx19lhusXLn869rz+93rx5kx9eeY+J1VtRO59WhrDE2/x96zRPfPgGNWvWvMcRFo+9O3bRvU/WGJf8ts04Hn2VTZdOMKv7cMtYqQtx0axMvMjsz+fi4+PDyaPHCJn3G5Nrt6eye95/J6duXmf9haO80H047s4umM1mtkee50oVFTPffd3S6njr1i2+f2UOD1VtQV2/anleKzzhNvP2reX5rsMJ8sv989EbDSw8uYvzTml8vej3fLu9fp33LZozNxhRp02ee54ZTEZWXDuOqm0dJj2VNXbq3KnTrPr0RyYHtaOqp0+e1z0XG8malKu89MUH91XXuxBlSYnuHfb222/z3nvv/XORfF5ksvvd71USBP9soOrm5ka/fv3Q6/Vs3br1vt9AFSA5OZml838n4fx1mjr6UdnZDZ3JyDVtIne81LQf0o/ufXrZNFaiojIYDKxZtIzrB08QYNAQoPFGBUTpkoly1lO7Y2uGTxhb4CrmZV16erplQsGcSU/RSuNPZY07OpOR8wk3OB0TTpBXJXoGNMGMQpg2iRhXE017d2HA8CE43JU4pKamsuy3P4k7c4VGam/8NR7ozUbOxUVz5nY4db2r0i2wEZkmA5e0CaRXdqXP+BG0bvtArrgMBgPrlq7g2oET1NI5Wb730boUIp11BLVvgU81f5Z++QO1VO50DWiIp4sbSZnp7IsM5YaSyUMvPEn/gQNyXfvfLl+6xPrfF+NwK5mmLpXxdNKQatBxVhsHNXwZPu0R6tTNucFqeno6yxYs5PapSzRUeVFV44HBbCRcm8Rtd2jRtyv9hgy677qThShLSjQJqlOnDuHh4ahUqkJbgu51EgSwYMECvvnmG0JDQ3F2dqZjx468+eabdO7c2ab7VbQkKJuiKFy+fJn4uDg0Li4EBwdTuXLl0g6rzIqKirKMM6tZs2a5Xz8q291JUGpqKjdv3iQuNjbH78T169e5HXMbB0cHAgICqF69eoHXVBSFq1evEhcbi7NGQ1BQEL6+vly6dInEOwl4eHnatOdgdHQ0N27cQDEr1KhZwzIBIltSUhLbtm0j7tZtqlSvSu/eve3asDQzM5MrV66QkpSMl483DRo0KLQ1VFEUrl27Ruzt2zg5OxMYGEjVqlVtvrcQoviVaBLk4uKCwWBApVIxZ84cBg4ciLe3d45Phncr6dlkJaWiJkFCQM4kKC0tzbKYqBBClHfWvn/bNUW+WrVqREVF0aVLF1577TW7gxRCCCGEKC12dVqPGDECRVHy3X5CCCGEEKKssysJevPNN6lVqxanT59m3rx5xR2TEOIecHR0ZPLkyUyePBlHx/tsixQhhMDOMUHTpk3jypUr7N+/H5VKRWBgIC1btsxzQKJKpWL+/PnFEuy9JmOChBBCiPKnRAdGq9VqyzTq7Op5Tasu7iny95okQUIIIUT5U6IDo+8ma8oIUT4pimLZcNjNzU3+loUQ9x27kyA7GpCEEGVIRkaGTJEXQtzX7EqCzGZzccchhBBCCHFPybruQgghhLgvSRIkhBBCiPuSXd1hc+bMsaqcs7Mz1apVo2fPngQHB9tzKyGEEEKIEmFXEvTOO+/YNJNEpVLxyCOP8MMPPxS6KaEQQgghxL1QpO4wRVHynCWWfTz7nNls5s8//2TcuHFFuZ0QQgghRLEp0hT5fy+YmO3u49nnFEVhw4YNbNy4kUGDBtl7WyFEMXFwcGDMmDGW/wshxP3GrpagsLAwpk2bhqIoNGvWjIULF3Lq1ClOnTrFwoULadasGQAzZsxg+/btPPjgg5a6f/31V/FELoQoEhcXF5YtW8ayZcukm1oIcV+ya9uMlStXMmbMGPz9/bl06RLe3t45zicmJtKoUSPi4+NZtWoVgwYNom7dukRFRVGvXj0uX75cbE+gJMm2GUIIIUT5Y+37t10tQZ999hkArVq1ypUAAfj6+tK6dWsUReHjjz/G0dGRAQMGAHDr1i17bimEEEIIUazsGhN05swZVCoV586dIzMzE1dX1xzn9Xo9Fy5cAOD06dMAVKtWDQCDwVCUeMu1E0eOsmPBUjSJWjCaURzVGKt4MuiJR2jUtElph2eXxMREln07n/SLkTjqTaBSYXBzonbv9nj5+nBy9VY0aQYwmTE7q1EHVGbkM/+hVq1aRb53ZEQkq7/9FSX6DmqDGRzU6DydaD9uMN369rZrLyxFUTi0Zx/7/16NJkWf9XNycsBUzYvhT0+lTt26Vl3nxJGj7FywDOfEzDL7s05PTy8z22bcvHmTFV//gjkyDrU+62ep93Ci1cj++NeszpZfFuF0Jx2V0YTiqMbg506//zxEizatSy3msio5OZll3/9K6rkwy9+k0c2RwB5tGfbweJycnLh65QrrvluAw+1UVAYjODqg89LQ/dHRtO/aqbSfghD3jF3dYX5+fiQnJwPQtWtX3njjDZo3b45KpeLixYt88MEHbN26FQAfHx8SEhJ47rnn+Oabb6hRowbR0dHF+yxKSHF1h104fZZVc7+hXYorvTyDcrw5G80mNqWFcd7PxKT/vUpAYGBxhF7iDAYD374yB9cLMYzW1MHH+Z9EeF/cNXbFXaNP1QZ0qhSco57WZGB1+jWia7ny1Ofv2vV9TUxM5IfZ7xB0U89w97poHP7J5RVF4UjaTfa5JdPtqYl07tPT6useP3CYLZ//Sqc0d7p4BuT4ORnMJtalXuNKVTXTP3mTqlWr5nmNgn7WJsVMSOp1zvuZePTDVwgMCrL5uRenspAEpaam8t3st6kekc5Ij7q4OjjnOH8kMZL1t87Ts1JdeldtYDluVsxsSwnnhI+O8e/Oon6jhvc69DLHZDLx3evv43gmmtHOwfg55/x5Xs+4w2pTFFfT4ujvHsRgj7o4qf8ZEK8oCvtSIznomc6glx6nVfu29/opCFFsrH3/tisJGjlyJGvWrCnwk3b27LERI0awYsUKhgwZQkhICB07dmT//v223rJUFEcSdHz/IQ7Pnc9j7k0K/H6ZFDNfpJ1mzJevU69hg3zLlQUGg4H3pzzDE2m18Nd45ji3OSaUDKOBkbVaFHiNTJOeTwzneeH3L/H19bX63nFxcXwz9UVe0jTDxcGpwLLL0q9QadqD9B89rNDr7tm0jWtfLedRj0YFljOYTXySeZr//PgBNf/VmnX8wGEOvf8zj7s3LfRn/WX6GUZ/8Vqp/qxLOwlKTk7m00kzedGhMe6OmgLLrr1xFgeVmsE1muY4rigK36adpc/cZ2l+H7cKGY1G5v5nJlMTq1LDpeDXqiN3wjmbHMN/6nTMt8yCtFCazJ5g04cIIcqSEh0T9MEHH1hePCHnukB351Tu7u7MnTuXjIwMdu7ciaIo9OjRw55blkuxsbHsmvsjj3sU/KYI4KBSM9ujFX+9OJfMzMx7FKF9vnrxLZ5MC8iVAJ1LvsUdXUahCRD8X3v3Hd5U9f8B/H2TJulOF92FQhcgpSBQ9ioUKBvKUJCp8GXIEH9fRWSpILIFQdmgIMpGRhFBlhRUhsguYAu0hZbukc4k5/dHv429TZomadL5eT1Pnqe55557zz25ufn03jMAC6EYH4oCsW7qhxrHmtKEMYavps7Fh+aB5QZAADDcyg+x207gwZ27Wtd7GhOD2+t+KDcAAgCRQIgPLVtg87vzIZfLVcuTkpJwfskm/Me6mU6f9RyrIHz//hLk5OSUu8/aiDGGL6d+gA/MmpYbAAHAQI9AyBQFuJUez1vOcRymWwfixPx1SE9PN1Fpq7+NH32GiToEQAAQ7OiNJrYuOPGi7O/FeOsmuL56N2KfxxqzmIRUOwYFQU2aNMEvv/yC+vXrlzlYYsOGDXHmzBk0btwYeXl52LFjB3744QdMmTKlwoWuKfav24JJ5k10Xp/jOEzgGuHQ9u9MWKqKiY+PR72HqagnsVZL+yXhId6s/7rO25IIzdAjwwaR5y/qtP6vJ39G/xwniAW6N2UbY90YJ7/RXp+H12/D21a6t9MRcgK8UeiJEz8eVC3bv34LJpmXH0QV4zgOEzkfHNpWfT9rU/rz8lV0SbVUe/ylzXDPFjiXqN6zlOM4TBIHYP/GbcYsYo2RkpICyzsv4KZDAFSsg1NDPMpK0voPyDuWTXBo/VZjFJGQasvgEaPbtWuHqKgo7N27F++88w769OmDPn36YPLkyfjxxx/x8OFDtG3bFkBRG6KRI0di5MiRqF9D2rxUlFwuR/7dZ7A00/0iDwDu5lK8+O2WaQplBIc3bMcQa/XGwSn5MtiLLfVujNzO2hNX9x7Tad2/Dp/G69Zuem1fwAlg/TRN1YattNzcXJg9TuS1jdCFv5UTHp8ueqyrUCiQd/upTnc0SnKzkOJl5N965aktLu05hE42+l0LOI6Dk8QKr/Ky1NLsxBZIvx4FpVJprCLWGAc2bEO4hW4N9ktq79QQV1JiykwXC8yAqBfIz8+vSPEIqdYqNG2GWCzGG2+8gS1btiAiIgIRERHYtGkTRowYAZGo/McVtdnl8xfQJV/3ti4lBaQK8OTJEyOXyDjkj19q/O/92Iu7CPcM0nt7HMfBPC4dBQUFWteTyWSweZGt9/YBYIjIG8d2/6gx7fSRY+gLd4O26/qqAK9evcLl8xcN/qwbpwnw+PFjg/LWVAqFAqLnaQb13gv3DMKxMh7jBGdb4caf1ypavBon98Fz2Ir0H+yynUMD3EjT/rirl8IFZ49HGFo0Qqq9CgVBpGwJMbHwlBjWmNqDs8TLuPjyV6wCwjzNQxzkKgoNuhADQD0mQWpqqtZ1UlJS4KrU705LMUeJFTISkjSmJcTEwsNcfawrXbgrzfHq1SskxDyHh9im/AwaeKDqPmuhUIi+ffuib9++lTptRkZGBhyVhv2TZGUmQb5SrjHNU2yLl0/rXhsWYZ7m+igPx3EQctp/AjzNpUiog3VK6g6dGldMnDgRANCmTRtMnTpV9V4XHMdh+/bthpWuBuM4TucGv6UxxiCornM56f/Pe7kYGAQC7RdjjuPADNw3Ywwo464DxxXt36DtAhAIBOAEnIFb+HcbVcHc3BwnT56s9P1ynOH1pQ0Dg0BYB/+vM8F3spgu301CajKdgqBdu3aB4zhkZ2dj6tSpqvflKe4mXxeDIK8AH0QfvA1nc/3vEDzlZAiu72WCUlWc3EJzGyepyBzJ+dlw0tBgujyvBIXldpN3cnLCC0Ge3tsGgIS8TDiV0RbNK8AXMZf/RIC1s97bfS7Ixeuursjw90FMwW24GPJZQ4bWDepGO7liUqkUKULDBk1NK8iBdRltr54WZsLLr1FFilYjyS1EgAE3g5RMCQXT3oYqJjcNnv6BBpaMkOqPQnwTad+5E363MqwNy1NnIRpU8UB6ZbEK9EZmoXowMtC9GQ7H3dZ7e0qmRGFDh3LbkFlYWCC3vp1Bd9d+YnEYOHqkxrTQgf3wi5nmR2XlSfWwgoODA9p16mjwZx3jLIC3t7dBeWsqgUAAZSNnKMv5AdbkUNzfGOyh+Uf5ll0+mgfp3y6tprN/PQDJ+fqff+dfPUaXer5a1zknSUVIWG+t6xBSk+kcBJX+8Sk9NpCmV13GcRykrQOQXqDfmD/ROSlo1LPsQcyq2vDp7+BQXrTachuROWSKAr1/2M5nPUOPCZoDlNI6jR6KyCz92ifIlQoU+jrD0tJSY7pIJILZa17IU+h3Z+JW9ksEDQkF8L/PupW/3p91jCwVDXu01SuPMclkMlhZWcHKygoymaxS99170ij8kll2zyRNlEyJrMI8SEUWammv8rLg3L65QY2ta7ph/xmPw4XP9M53O/0FWth5lJkuk+dDEtigUtuLEVLZdAqClEollEol9u/fz3uvy0uhUJj0AKqzEdPfwSZ5lM4BoVypwB5x2XctqgMHBwcUtPbG09w0tbTBHoHYGn1V521lFObimpsSLdvoNjx/284dcMk5D9ly3bvsbs19gPDZk7WuM2L2f/BN3n2dt5mnKMRxm1T06NdHtWzku5OwSaHfZ71bHItBb72h835NIScnp0oGbGwW1By365vpFTjujPkTAzyaqS1XMiW24h8MmzzOmEWsMWxsbCBqH4DHuSk65/n55QO8bl/2I3fGGDblP8TIWf8xRhEJqbbocZgJSaVSvLF6Htbk/F3us/c8RSG+KLiN6d98Ue2HF5j6yVwc9JLhSS6/R1dDK0c0t/PAjpjfyw0GUvJlWC+Jxvtfr9B5vxzH4f1vVmKN8FG5P56MMWyV3UfbuRNQ31v7o0UXFxf0/mQGNshul1vubHk+Vijv473NK3kNRm1tbfHGqnlYk3Nbt886/zamfbOs2n/WpjTnq2X4yiIGSTo8yvn26Z8IsHWGr3U93vKiaUxuY/y6xVU6AWxVe2f++zjpI8eDnPIf7f788gFkinx0ddb8KEzJlFgvu4P+n78HJycnYxeVkGrFoLnD6gpjTaAaHxePPQtXwi0+V22SyMzCPBzKi0a6txSTln0MOzs7I5Tc9Bhj2LViPdIi76Cf0g0+lo6qtLvpL7E37iaC7D0Q7hYIsxIDESbmZeGw4hnYa56YsmQexGL9BpMEgLy8PGz6eClEDxMw1KwBb/TqQqUCJ7Oj8U89DoM+mIrGga9p2RJf9OMn2L9kHRokyDHIxoc3MnVqgQyHCp4ix9cJU5bNL/MH90X8C+xesKLMz/pwXjTSvG0xadn8Kv+sq3ruMKBoHrpNCz4H7sRiiLA+XEuMeqxgShxOuIvfU59huGsg2pWYjFcmz8fhnH/wytMK45fOLXNC27qEMYY9a7/Bq4t/IUzuAn8rJ15aZFYsrlplIbFAhiYKa4SLG/ImPs5XyHE0+wni3CUYuWA2vBs1rIrDIMQojDqB6qefflqhwixcuLBC+auKsYKgYvHx8TiycQfwKhPKwkJwIhFE9Z0wfPo7cHR0LH8D1VBhYSGO7z2A2Mi/wBXIwQmEkFuaodOowZA62CNiy26YZeRBKVcAYiHsmvkg/J2xRvnBzc7OxsEtu5D54ClQoIDATAiFvSX6/WcMfP38DN7u05inOPbNLghSs6EslIMTi2Dh447hUydCKtVtTKEXL17gyMYdYIkZ1fazrg5BULGcnBwc2vYd0u78AxTIAaEASqkF+rwzCo7O9XBgwzYo4lPACuUQiETg3Owx7N23KfjRQC6X4+S+Q4i5dB2CfAXAAQpLMdqN6Id2XTqB4zikp6fjwNfbkRedAFZYCIFIBOZkjUHTJtSZUf1J7WbUIEggEFSowWFNbRdk7CCIkOqkOgVBhBBiTCadRV5X9KSNEEIIIdWVXl3k9X1VxJo1azB06FD4+flBKpVCIpGgQYMGGDt2LO7cuVNmvl27diE4OBjW1tZwcHBA3759ceXKlQqVhZDaSCAQoGvXrujatSuNCkwIqZN0ehz27Jn+Y1CUZMjAf05OTpDJZGjevDk8PIrGsrh37x4ePXoEkUiEw4cPo3///rw8s2fPxrp162BhYYFevXohLy8Pv/76KxhjOHjwIAYPHqxXGehxGCGEEFLzGLVNUFWIjIxEq1atYG7On5Tz66+/xvTp0+Hi4oK4uDiYmRX14Dl79ixCQ0Ph6OiIq1evwu9/DWOvXr2Kbt26wdLSEjExMXr1yKEgiBBCCKl5qrxN0N27dzFv3jw0amTYXD4dO3ZUC4AAYNq0afDx8UFiYiLu3/93gLs1a9YAAObPn68KgACgffv2mDJlCtLT0+vkHGaEEEII0cyoQdDz58+xfPlyBAUFISgoCMuXL6/wozRNigeYKx5jJjc3F+fOnQMADBs2TG394mXHjx83elkIqalkMhnq1auHevXqVfq0GYQQUh3oNIu8NikpKdi/fz/27t2Lq1evqjWKNvZcPrt370ZUVBT8/PxUd3yioqKQn5+PevXqwdPTUy3P66+/DgC4fVv/CT4Jqc2Sk5OrugiEEFJlDAqCcnJycPToUezduxdnzpyBXC4HoLlLfHGbHUOtXLkS9+7dg0wmw4MHD3Dv3j24u7vjhx9+UE3s9/z5cwDQGAABgJWVFezs7JCWloasrCzY2NhoXC8/Px/5+f/OS5WZmVmhshNCCCGk+tI5QlEoFPj555+xd+9eHDt2TDXpYnHgw3EcOI4DYwwcx2HQoEEYMmQIBgwYUKECnj59Gr/++qvqfYMGDfDdd9+hVatWqmXZ2UVzD5U1UzhQFAilp6drDYKWLVuGTz75pELlJYQQQkjNoFOboKlTp8LV1RUDBw7Ejz/+CJlMpnbXx8zMjDfWyOHDhzFmzJgKz4909uxZMMaQlpaGS5cuwc/PD127dsXSpUsrtF1NPvroI2RkZKhesbGxRt8HIYQQQqoHnYKgzZs3IzU1Va29j1gsRv/+/bFr1y68evUKrq6uJiuonZ0dOnfujIiICLRq1QoLFizAtWvXAEA19H/x3SlNiht+lnUXCAAkEglsbW15L0IIIYTUTno32CkOfMLDwzFgwABVAFJZRCIRRo4ciRs3buD48eNo06aNasK/uLg4jXlkMhnS09Nhb2+vNQgihBBCSN2hdxf5wsJCREVF4dGjR6oGyZXNyckJAJCUlAQACAgIgEQiQVJSEuLj49XWv3nzJgCgefPmlVdIQqo5gUCA1q1bo3Xr1jRtBiGkTtLrylfc3f3+/fv49NNPERgYiMaNG2PBggW4deuWKcqn0cWLFwEAPj4+AAALCwuEhIQAAA4cOKC2/sGDBwGgwo20CalNLCwscO3aNVy7dg0WFhZVXRxCCKl0Ok2bsXbtWvzwww+4fv36vxn/1xOs+O9ixb3DFAqFwYWKjIxEVlYWevXqxfsPtbCwEJs2bcLs2bMhkUgQFRUFLy8vANqnzejevTssLCxo2gxCtIiJjsbPO3+EIjsXMBPCvakvBrw1EiKRCLm5uTi6Yw9SYuIAJYPYzhoDJo2Bm5ub1m2mpKTg6OZvkZucDnAcpJ4uGPzOGI2PpZ88eoxfvtsPpSwPMBPCK7Ax+o0aVuFhNgipjtLT03F063fIflk0VpeVqyOGTB5X4c5ENYFSqcQvh4/hyR+3ALkCkIjQ7Y1BaNYiyGj7MMncYU+ePMH333+PH3/8EVFRUUUb+F8AVHqARD8/P4SHh2Po0KG87uy62LVrFyZMmAAnJye0atUKjo6OSE5Oxp07d/Dy5UuYm5vj22+/xYgRI3j5iidQtbS0RGhoKAoKCnDmzBmaQJUQLc4fP4Xr3x5F/agMDCp0hZgrGn8rRp6Jww5piCpMg6/AFm+lO8Nd9L9OCMpCHLZ4hcTGDug6dRSCu3bibfP2tZs4vW4nHO6/wrBsZ9gIi0Z3T5bn4pB9KnKau2PIB9PQyN8XZw4dw9/fn0TDR5noL3eB6H/7fyLPQIRbDsyC/TBmwRxIpdJKrBVCTCPq7n0cX7UZtncTEZ7pCHth0fRQaYo8HLJNQWYzF/R/fxIaBzar4pIaX25uLr5dshayK/cQGi9GM6EDAEDJGE4LE3DfxwJ+Q0IweMLoCu/L5BOo3rx5E99//z3279+vaoej6Y4Qx3GqwRR1FRMTg23btuHixYuIjo5GcnIyxGIxvL29ERISgpkzZ8LX11dj3l27dmHDhg148OABxGIx2rVrhwULFqBDhw56HyMFQaQ2y8nJQX0PT5jJCvCk4URYCkQa18tTyrEm9QbetG2MhmL1QOQncSLkk7th+PR3AAARe/YjdfURvJnrVuaI8UrGsNk2Hgn+duh5Mw+dmVPZ5VQWYo1rAiZ8uxJe3g0MOFJCqofzP0Ug+rPdGJ9d9neDMYZd1i/R8OPRCBnSv5JLaDrJyclY/+YMzH7mADuh+rygxW4hDee7O2HOxuUVmnGi0maRZ4zh4sWL2Lt3Lw4dOoS0tLSiDZcYOLEij8aqEgVBpDbb/vkavPPx+wCATP8ZsCojCAKKvufLUv7EZLvmcDJTbz90xiwJ8g/6w9reFsnzd2NIvm7DZWxMv4XuFl5oKnHUup6SMXzuEoeZP22pE48LSO1z7VIkHr63EaNztD9CLva9xQsErJmG4G6dTVwy08vNzcWywW9j3jNn1Z1mbaJZFiL6uWDm6s8M3melzSLPcRy6deuGLVu2ICEhAUePHsWIESM0zgBPCKkeMjIykLn/ss7rcxyH/3Nsje8zH2hMD5XXQ9Tmw4hc/a3OARAATJMG4WR2dLnrCTgO7ye44tuFK3TeNiHVybkvtuocAAHA6Fx3nF++zYQlqjx7Vm7AjBg7nQIgAGjE2cDj9BM8evDQxCUz8izyIpFINar0q1ev8O2336J3797G3AUhxAgOrNuC8OyyH0FpIuaEMOM45CoLNab3T7SGJCpRr21yHAdfsR2eFKSVu66FQAR2IwYFBQV67YOQqnbj6p9oFaNfsxAAaPVUgetX/jBBiSoPYwzpl/6Go1C/HqgD5K44sW67iUr1L5MNDmJlZYUxY8YgIiLCVLsghBgo/bfbqgaZ+hhq44cjWU80pvmaScHk+j/6HmDtg4jsGJ3WHfjKGse+/UHvfRBSlS5u/QHdmbPe+bozZ1zcWrPP90unf0WXWP17eJpxAoj+juVNam4KNEIaIXWMUqmERWqeQXndzKyRriz7omQuMOxiZ8bpdinyNrNFwn3NQRgh1ZU4NcegRr4cx0GSlmuCElWe+1euoSVnb1De+hkcEhP1u7usLwqCCKljCgoKIFIanp+hQn0pKrxNVqD/YwVCqhIrqEDnoMKa2bGomKKgQOd/ckozl3Na5wQ1BhqFjJA6RiKRIE/EgQPQVFzUK0vX/1GLJlEuO11pYGdTXbMpGQMsxAbtg5AqU4FzVimp2T/TlvZSZCuTYS3Qvw7SxAq0sDfsLpKu6E4QIXUMx3HI93aApUCEO43G4U6jcWWOEVTa5dx4tLHQ3PtLyRhymf53aRLkMkiFEp3WPcsloPMbA/XeByFVSdzUC5kK/du2ZCryIXmtZo+NFToqHCckSQbljfU0h7Oz/m2p9EFBECF1UItR/fGXIkXvfH/mJiDYXHMQdAovIJBa6r3Nw1mPEW7jp9O6d3zM0aK1fiPQE1LVhr/3Hxy0SdY730HrJAybPdkEJao8Xl5eiG+i/92cRLkMzj1bV2jARF1QEERIHdRjYF+c8MqDPmOl3s9PgZfIRuNFSc6UuOVvAUWbRmV2odckRZELJWM63Ym6hXT4Dumu87YJqS4cHByQ3tJdr7tBWYoCpLd0h6Oj9oFEa4LgcUNwTqjf3aDdTikYNnWiiUr0LwqCCKmDBAIBhq6cC49n2xAYvQs55QQuTwsyEJEdjeE2/mppcqbECqc4TN76BaZ+swwr3BOQryz/sViGIh8fZFzFJLvActd9oszExZ7OGPL2mHLXJaQ6mrZ+CdY0TC33uwYUTRWz2jsF075aWgklM72ufXshZuhr+AvljwcGAN9ZxKPL0ndhZWVl4pJREERIndUowA+JeVm4X5CKKGWGxnUKmALfZz7Asex/MMdB/db0LWUKltZPxMR9X8LFxQVSqRSzDm3Ccr90/M6SNd5pUjKGs1wCvm4lx4xjm7HS5SWeyDXvP18px4+ieJwd7IXZ6z+v+EETUkUsLS3x34ObsaaZDJfwSuN3gzGGS3iF1a9l47+HNsPSUv/Hy9XVpE8/xJ2xzbFTEgtZGYFgnDwbK+yfo+ma6WgX0rVSylXhucNqM5o7jNRmMpkM1tZFs8Lv27oLz05ehu3TdDgWCJEvYEiy5cC93hBNw7rizpEzEN6JRT0ZBxHjkCxWQObnhBaj+qPHwL5qwRFjDJFnz+PqzkOwjHoFp3whlByQbKFEwWvu6DHtLbRo0xoAIJfLcXz3Pjz56TykTzPgUChEnpAhyVYAYatGGPz+f1C/fv1Krx9CTOXP3yJxacs+mD98CadcAThwSLJQIK+xG7pMHongzh2ruogmk5iYiENrNiH39yjUS5PDUiFAupkS6V7W8OjTHkMnjYVEoltHCW0qbQLV2oyCIFKblQyCsrOzYWVlhdzcXKSlpcHc3BxSqRRC4b9z/cjlcqSnp6OwsBD29vY6zw9YUFCA1NRUCIVC2NnZQSQqu/1PTk4O0tPTYW5uDjs7OwgEdLOa1F6FhYVITU0FUNRuSNt3o7ZRKpXIzMyETCaDVCpVXYuMRdff75o9AAEhxKgsLCxgYaF5jh8zMzM4Oek33xgAiMViuLrqNqmqpaVlrXoEQIg2IpEILi4uVV2MKiEQCGBnZwc7O7uqLUeV7p0QQgghpIpQEEQIIYSQOokehxFSR3EchwYNGqj+JoSQuoaCIELqKEtLSzx9+rSqi0EIIVWGHocRQgghpE6iIIgQQgghdRIFQYTUUbm5uWjTpg3atGmD3Nzcqi4OIYRUOmoTREgdpVQqcf36ddXfhBBS19CdIEIIIYTUSRQEEUIIIaROoiCIEEIIIXUStQmqRElJSTi4bAMKrz2GQFYACAUodLRE/cFdMfDtt+rU5Hl1XX5+Po5u3oUXJ65AnJYLplRCYS2BRfvGGPbBdDg4OBh1f4wxRP7yK/7YtB+SF5lAoRz5IuMOkMgYw+/nLiLy6x9gEZ8BViAHJCIU+Dih9/+9g9daBBl1f4QQUlE0i7wWxppFPj8/HxsnfwDHX58gPN4S1uAHO9ECGY435eA1uT+GzninosUm1dyPKzYgadcvGPxAAC/wJwvNRCEO1s9Bdu+mmPb1MpiZVfz/lOsXLuPs3C/R7XYe2ubagENR8CODHNY4AABY1H0k/rN7Ndw8PAzax99X/0TE+yvR5VYuOpTYBwAooMRpaSb+amWHsds+h1dD7wofEyGEaKPr7zcFQVoYIwjKy8vDsn7jMetcIRwg0bruFRsZHr3XEeM/+cCgfZHqb/P/LUbrb/5CqxwrreslIg+bwqww76cdFbpDeOnYKTyfvhFvxamfvzLI4Y1jAIB/0B9fN83Dm8fWo4FPI732cfX0r3j4n7WY8Ez7d0QJhtWNMzH08Br4NAnQax+EEKIPXX+/qU2QiX01YQ5mn5OXGwABQIcsKzRcdxmn9xyohJKRynb0m51osflmuQEQALjAHFNP5WDjlA8N3t+z6Bjcn7VBYwAEAFYwQxKGIglDYQsxPrhvg11vvIfCwkKd9/EiPh43pq8pNwACAAE4/N9DW+wd/V8al4gQUi1QEGRCz58+RYNfY2APsc55umZY4+62o6YrFKkSjDH8820E2mZb65zHGRLY/fIQycnJBu3z6NINePupjc7rC8Bh7A3g2PbdOuc5tGQ9Jv2j+zFx4DDxLyGOfLND5zyEEGIqFASZ0E9ffINBSfo/Rgu6mY5bf1wzQYlIVbn881l0/lv/ux/D4qxw8IsNeufLzc2FMPIRRHp+xRsyKzw9cE6ndQsKCsB+i4IEQr324QELvDh6Wa88hBBiChQEmZDy2j96/0AAQEiWLS5t3WeCEpGqcvP742iTp/tdmWLWECH/apTe+c4e/Al9o7R/vXMhRzf8im74FbmQq5Z7/Z2Cly9flruPiydPo+d9ebnraeJ/Ow0xMTEG5SWEEGOhIMiEhJl5BuUTgIMgy7C8pHoyy87n9ZjSh9CAcyHxn2fwgLnWdZQALuIVLuIVSk6a4Z6uRGJiYvn7ePIMHkz7PsringEkvig/0CKEEFOiIMiEOIHh47BwAvpoahWucs8FodAMChjW8VMhBITC8u9gCkWG70PJMQhFNEwZIaRq0S+tCRXaWxiWD0owh/J7EJGaQ25nAaWBAUOhnf53W7ya+SNaaFgPrOeOQri7u5e/j9f8EC027I7lUycBPDw9DcpLCCHGUi2DoJycHBw9ehRvv/02AgICYG5uDisrKwQFBeHTTz9FdnZ2mXl37dqF4OBgWFtbw8HBAX379sWVK1cqsfT/sujSDJnQvbtxsWOOGeg7+20TlIhUle7T38IZ2wy9871CHuxDW+m/v4F9caaZYXdaEl93haOjY7nrdejRHRcDyx/6QZPY1110CrQIIcSUqmUQtHfvXgwZMgQ7duyAUCjEwIED0blzZ8TExGDRokVo06YNXr16pZZv9uzZmDBhAu7evYuePXsiODgYZ86cQZcuXXD06NFKP45hH07HQS+Z3vli2rigkZ+vCUpEqkrz1q1w53V7vfMd8ilA+KzJeucTCoWQdGsGGfRruHxLnIWgCYN0WlcgEMCmZ0tkoECvfTw0y4b/qN565SGEEFOolkGQSCTC5MmTcf/+fdy/fx/79+/Hzz//jKioKLRs2RIPHz7E7NmzeXnOnj2LdevWwdHREX///TeOHj2Kn3/+GZcuXYJQKMSECROQnp5eqcfh6OiIvCGtEGOm+2OJ/e5Z6PrfiSYsFakqwbNH47hzls7rPxDLIBnZEdbWuo/DU9LIBbPxVbMcMB0fw+VCjiOdrNBjyADd9/HRTGxonq/zPvKhwA8dJOg7eoTO+yCEEFOplkHQuHHjsHnzZjRp0oS33M3NDRs3bgQAHD58GAUF//4HumbNGgDA/Pnz4efnp1revn17TJkyBenp6di+fXsllJ5vytpPsH+kOx6Lyg+EDrplwWbpaLQJ6VIJJSOVrcugvpAvHIIT9coPhO6a5+Dnsb6YsGSuwftzdHTE4D2fY03jrDLbI1lCCEsIkYVCfNFBgTmHN0OgR0NsqVSKN35chRVNsyDn9TFTJ4Mcy9oWYNaRzTo1vCaEEFOrcXOH5eTkwMqqqNHwixcv4ObmhtzcXNjb2yM/Px+xsbHwLNXg8rfffkOXLl3QtWtXXLhwQed9GWsCVcYYdn+6GimHL6PfPQZ/xb+NnpVg+MU2A/daOaDDhxPQvncPg/dDaoaLR07i+pffo+XNDHTPtuV1nb9nlo3TgWZwG9kdb3zwLrgK9CorFvfsOfbO/ATuf75AeIINLPBvW6Fk5ONgo3zkdfXD5A1LYWlpqWVLZXsZH4/d7y6G65/xCH9hDasS+0hFPg40zIOsky8mf73U4DtbhBCiq1o7gerdu3cRGBgIkUiErKwsSCQS3Lp1Cy1btkS9evU0thWSyWSwtraGvb09UlNTdd6XsYKgYnK5HBF79uPpycsQZOcDQgHkjlboMXMsAlu9XuHtk5rl5pU/cOmb7yFKywVTKqGwksB/aAh6jxyq190YXb188QJHvvgayqdJQEEhYCGGTSt/hM+ebLTAJDExEYe/2AhlTCJYXiFgLoJlkA+GvT/FKN8hQgjRRa0NgiZNmoRt27ZhwIABOHasaAbsY8eOYdCgQWjZsiVu3rypMZ+9vT3S09ORmZkJGxvNI/fm5+cjPz9f9T4zMxNeXl5GC4IIIYQQYnq1chb5iIgIbN++HSKRCJ999plqeXGXeW238osfoWVlld0eY9myZZBKpaqXl5eXkUpOSPWTl5eHfv36oV+/fsjLoxHKCSF1T40Jgh4+fIi33noLjDGsXLkSQUFBRt/HRx99hIyMDNUrNjbW6PsgpLpQKBSIiIhAREQEFApFVReHEEIqXY0Ytz4+Ph59+vRBWloa5syZg1mzZvHSi9sz5OTklLkNmaxovJ6yHoUBgEQigURi2OBvhBBCCKlZqv2doNTUVPTq1QvPnj3DhAkTsGrVKrV16tevDwCIi4vTuA2ZTIb09HTY29trDYIIIYQQUndU6yAoOzsbYWFhuH//PoYOHYqtW7dq7DIcEBAAiUSCpKQkxMfHq6UXN5Zu3ry5yctMCCGEkJqh2gZB+fn5GDRoEP7880/07t0bP/zwQ5kDrFlYWCAkJAQAcODAAbX0gwcPAgAGDNB9JFxCCCGE1G7VMghSKBR48803ce7cOXTu3BmHDx+GWCzWmmfOnDkAgCVLluDx48eq5VevXsXmzZthZ2eHt9+mSUkJIYQQUqRaNozesGEDjhw5AgBwcnLCtGnTNK63atUqODk5AQB69uyJWbNmYd26dWjRogVCQ0NRUFCAM2fOgDGGnTt3ws7OTq9yFA+hlJmZafjBEFJNFXcWAIrOceohRgipLYp/t8sdCpFVQ4sWLWIAyn3FxMSo5d25cydr1aoVs7S0ZHZ2dqxPnz4sMjLSoHLExsbqVA560Yte9KIXvehV/V6xsbFaf+dr3IjRlUmpVOLFixewsbExyhxOVa14BOzY2Ng6PQI21cO/qC6KUD0UoXooQvXwr5paF4wxZGVlwd3dXes0RNXycVh1IRAI1CZjrQ1sbW1r1MlsKlQP/6K6KEL1UITqoQjVw79qYl1IpdJy16mWDaMJIYQQQkyNgiBCCCGE1EkUBNUhEokEixYtqvNTg1A9/IvqogjVQxGqhyJUD/+q7XVBDaMJIYQQUifRnSBCCCGE1EkUBBFCCCGkTqIgiBBCCCF1EgVBtVhkZCT69u0LBwcHWFtbIzg4GN99951Rtv3222+D4zhwHIfLly8bZZumYqx6uHHjBhYvXowOHTrAzs4OYrEYXl5eeOutt3D79m0TlFw/ubm5WLhwIfz9/WFubg53d3dMnDgR8fHxem8rLS0Ns2bNQoMGDSCRSNCgQQPMnj0b6enpxi+4CRijLtLT07F37168+eabaNiwIcRiMWxsbNC2bVusW7cOhYWFJjwC4zDmOVHS48ePYWFhAY7j0LNnTyOV1nSMXQ9Pnz7FlClT0LBhQ0gkEjg5OaF9+/ZYuXKlkUtufMasizNnzqBfv36oV68eRCIRHB0d0atXL9W0VzWCQfNJkGrv4MGDTCgUMo7jWNeuXVl4eDizs7NjANj7779foW2fO3eOAWAcxzEA7LfffjNSqY3PWPVQWFioGobdwcGBhYWFsWHDhjEfHx8GgInFYnbgwAETHol2ubm5rF27dgwAc3NzYyNGjGDBwcEMAKtXrx77559/dN5WUlIS8/X1ZQBYo0aN2IgRI9hrr73GADB/f3+WkpJiwiOpOGPVxccff6w6z1u2bMlGjhzJQkJCmEQiYQBYp06dmEwmM/HRGM6Y50Rp3bp1U33/e/ToYcRSG5+x6yEiIoJZWloyjuNYq1at2BtvvMFCQ0OZq6sr8/HxMdFRGIcx62Lt2rWq70eHDh3YyJEjWYcOHVTnxbx580x4JMZDQVAtlJKSwmxtbRkAdujQIdXyhIQE1Y/b+fPnDdp2bm4u8/PzY6+99hrr0KFDtQ6CjFkPhYWFrE2bNuzo0aNMLperlisUCtWPpY2NDUtKSjL2YeikuAzt27dnWVlZquWrV69mAFjXrl113tbo0aMZADZ06FBWWFioWj5jxgwGgI0bN86IJTc+Y9XF559/zj744AP27Nkz3vJHjx6x+vXrMwDso48+MmbRjcqY50RJ27ZtYwDY5MmTa0QQZMx6ePDgATM3N2f16tVTm5NSoVCwa9euGavYJmGsunj16hWTSCRMJBKxCxcu8NIuXrzIJBIJ4ziuQoF2ZaEgqBZavnw5A8AGDRqklnb48GEGgPXv39+gbc+bN49xHMd+++031rVr12odBJmyHkpSKpUsICCAAWC7du2q8Pb0lZ+fz6RSKQPAbt68qZbevHlzBoBdv3693G29ePGCCQQCJhaLWUJCAi8tLy+P1atXjwmFQpaYmGi08huTMetCm7179zIAzNvbu0LbMRVT1UNCQgKzt7dnoaGh7Pz589U+CDJ2PYSFhTEA7OTJk8YuqskZsy6OHz/OALDevXtrTB84cCADwPbt21fhcpsatQmqhU6ePAkAGDZsmFpav379YG5ujrNnzyIvL0+v7d65cwcrV67ExIkT0alTJ6OU1ZRMVQ+lcRyH5s2bAwBevHhRoW0ZIjIyEhkZGfDx8UHLli3V0ouP//jx4+Vu6+eff4ZSqUTnzp3h4uLCS5NIJBgwYAAUCgUiIiKMU3gjM2ZdaBMUFASgaj5vXZiqHmbNmoXc3Fx8/fXXRimnqRmzHmJjY3H69Gk0atQIffv2NXpZTc2YdaHrwImOjo76FbIKUBBUC/39998AgNdff10tTSwWo1mzZsjLy8OjR4903qZSqcTkyZNhZ2eHFStWGK2spmSKeihLdHQ0AMDV1bXC29KXtuMsuVyXxtvG3FZVqKzyV+XnrQtT1ENERAT27duHefPmwdfXt+KFrATGrIcLFy5AqVSiQ4cOkMvl2L9/P2bNmoV3330XmzZtQlpamvEKbgLGrIvg4GDY2dnh3LlzuHjxIi/t0qVLOH36NPz8/NC5c+cKltr0KAiqZTIzM5GRkQEA8PT01LhO8fJnz57pvN2NGzfi999/x6pVq+Dg4FDxgpqYqepBk8uXL+PGjRsQi8Xo06dPhbZliOfPnwMwznEac1tVobLKv27dOgDAoEGDKrQdUzF2PchkMkybNg0BAQH48MMPjVPISmDMerh//z4AwNraGp07d8bIkSOxfv16bNy4EVOnToWvry/Onz9vpJIbnzHrQiqVYvv27RAIBOjevTs6deqEN954A506dUK3bt3Qpk0bnD59GmKx2HgHYCIUBNUy2dnZqr8tLS01rmNlZQUAyMrK0mmbcXFx+Pjjj9GtWzeMHTu24oWsBKaoB00yMzMxceJEAMB7770HNzc3g7dlqOJjNcZxGnNbVaEyyr9p0yacPXsWdnZ2mDt3rsHbMSVj18P8+fPx7NkzbNq0qUb8sBUzZj0U3+nZtm0bHj58iL179yI1NRVRUVF46623kJqaiiFDhlR4+AFTMfY5MXToUJw6dQqOjo6IjIzEvn37EBkZCRsbG/Tq1QseHh7GKbiJmVV1AYi6IUOG4MGDB3rl+e677xAcHGyS8kyfPh35+fn45ptvTLL9slS3eihNoVBg9OjRePz4MYKDg/Hpp59Wyn5J1fntt98wa9YscByHHTt2wN3dvaqLZHLXr1/H+vXrMXbsWHTr1q2qi1NllEolAEAul2Pz5s0YMWIEAMDe3h67d+9GVFQUrl27hq+//hpLly6tyqJWitWrV+ODDz7A4MGDsXjxYjRq1AjR0dFYuHAhFi5ciD/++AMnTpyo6mKWi4KgaigmJgZRUVF65cnJyQFQdKu25DJbW1u1dWUyGQDAxsam3O0eOnQIx44dw4IFC9C4cWO9ylRR1akeNJk6dSpOnDiBgIAAnDx5ssr+Qy4+1uJjL02f4zTmtqqCKct/9+5dDBo0CAUFBVi/fj2GDBlieEFNzFj1IJfLMWnSJNjZ2WHVqlXGLWQlMMV3w9raGsOHD1dLnzBhAq5du6bWRqa6MGZdXLhwAf/3f/+H119/HQcOHIBAUPRQKTAwEAcPHkTr1q1x8uRJnDp1CmFhYUY6AtOgIKgaunXrlsF5bW1tIZVKkZGRgbi4ODRt2lRtnbi4OABAgwYNyt1ecU+BM2fO4NKlSxrLOWPGDEilUowfPx7jx483uOylVad6KG3u3LnYunUrvLy8cObMGTg5ORlc1oqqX78+gH+PpzR9jtOY26oKpip/TEwMevXqhbS0NCxevBgzZsyoWEFNzFj1EBcXh1u3bsHV1VXth7949PAbN26o7hBduHDB8EKbgDHPh+J16tevD47j1NK9vb0BAK9evTKkqCZnzLrYvXs3gKK79cUBUDGhUIihQ4fi1q1buHTpEgVBpPIFBQXh0qVLuHnzptqPf2FhIe7evQtzc3P4+/vrvM3ff/+9zLTiYKW63So3RT0AwIoVK7B8+XI4OzvjzJkz8PLyMmax9VbcXfvmzZsa04uXF3fjr6xtVQVTlP/ly5cIDQ3Fy5cvMWvWLCxatKjiBTUxY9dDQkICEhISNKalp6dX27sfxqyH4m7lZfUCS01NBcC/C12dGLMuigMmqVSqMb14eXXvMQeAps2ojSprkMC6OFjili1bGABmZ2fH/vrrL+MUtIJKDoKmqUyGDpZYekDEmjZYYkXrgjHGUlNTWWBgIAPAJkyYwJRKpZFLbBrGrgdNatpgiRWth8LCQubo6Mg4jmMPHz5US580aRIDwCZOnGiMohudMeti7NixDAAbO3asxvS33nqLAWDLli2raLFNjoKgWqis6SISExO1ThcREBDAAgICWFxcnE77qe5BkLHr4cCBA0wgEDBra2t25coVUxdfL8XD4Xfo0IFlZ2erlpc1HP5XX33FAgIC2Ny5c9W2VTxtRnh4OG/ajJkzZ9aoaTMqWhcymYy1b9+eAWAjRozgTZdSExjznNCkJgRBjBm3HpYuXao65oyMDNXyM2fOMJFIxDiOY3/88YfJjqWijFUXxf9ECoVCdvz4cV7a0aNHmUAgYAKBQGOwWN1QEFRLHTx4kAkEAsZxHOvevTsbNmyYauLQOXPmaMyD/00QGhMTo9M+qnsQxJjx6iExMZGJxWIGgAUGBrJx48ZpfB05cqRyDqyU3Nxc1rZtW97EiMXvNU2MuGjRojIDmqSkJNXEsD4+PmzkyJGsWbNmDADz8/OrEROoGqMuZs+erbrQjxo1qszPvLoy5jmhSU0JgoxZDwUFBaxnz54MAHNxcWGDBg1iHTt2ZEKhkAFgS5curaSjMoyx6kKpVLLhw4errpWtW7dmw4cPZ61bt1Ytq+51UYyCoFrs8uXLrE+fPszOzo5ZWlqy1q1ba53bqjYGQYwZpx5iYmJUy7W9Fi1aZPoDKkNOTg5bsGAB8/HxYWKxmLm6urLx48ez2NhYtXXL+8FLSUlhM2bMYF5eXkwsFjMvLy82c+ZMlpaWZtqDMBJj1MW4ceN0+syrM2OeE6XVlCCIMePWQ0FBAVu+fDl77bXXmLm5ObO1tWUhISFqd0SqK2PVhVKpZNu3b2ddunRhdnZ2zMzMjDk5ObG+ffuyU6dOVcKRGAfHGGNltxgihBBCCKmdaMRoQgghhNRJFAQRQgghpE6iIIgQQgghdRIFQYQQQgipkygIIoQQQkidREEQIYQQQuokCoIIIYQQUidREEQIIYSQOomCIEIIIYTUSRQEVTNPnz4Fx3GqV7du3aq6SGW6c+cO1q5di8GDB6NZs2aoV68exGIxnJ2dERoaip07d0KhUBi07Xv37mH48OFwc3ODmZmZqj4WL15coTIvXryYV79Pnz7VOe/48eN5eU3J29u7RpwDtdXOnTvRvn172NraGny+EFIdVOSaVxeYVXUBSM315ptv4t69e2rLk5KScPbsWZw9exbfffcdTpw4ASsrK523m5CQgI4dOyIjI8OYxSVEJ9988w2mTZtW1cUghFQCCoJIhXEch+bNm8PDwwMPHjxATEyMKu3ChQuYN28e1q1bp/P2jhw5wguAfH19ERgYCIFAgKZNmxq17ISUtmvXLt77bt26wdHREQD0CuYJqQ6aNm2K8PBw1Xs6h/koCCIGE4vFmD17Nt577z3Ur18fAKBUKjFnzhxe0PPdd99h7dq1EAh0e/r66tUr3vuTJ0/C39/feAUnRIuS51/79u1x/vz5KiwNIRUzYsQIjBgxoqqLUW1Rm6BaJDMzEytWrEDHjh3h4OAAkUikap+zY8cOFBYWasyXmpqKGTNmwMPDA+bm5mjSpAmWL1+OwsJCrW1TIiIisHbtWlUABAACgQDLly+HSCRSLUtPT0dSUlK55d+1a5fGdj8BAQGqMly4cEG1PD8/H5s2bUKPHj1U7ZEcHR3RpUsXfPnll8jJySm/0kqRy+VYtWoVGjduDHNzc3h5eWHGjBlIS0vTe1ulJSYmYtGiRWjbti3s7e0hFovh5uaGrl27YuXKlVrz5ufnY8mSJQgICIC5uTk8PDwwc+ZMZGVlqa27detWjB07FkFBQXBzc4NEIoGlpSV8fHwwatQo/Pbbbxr3UbLdwPjx45GcnIzZs2ejQYMGkEgkaNiwIRYuXAi5XK4x//Hjx9GxY0dYWVnBwcEBgwYNwq1bt1Sfq6bPsFhcXBw++OADtGjRAra2tpBIJPD29saECRNw9+7d8itXA6VSiR9++AF9+/aFq6srxGIx7OzsEBwcjM8++wypqam89bt166bWZuLq1auqcnt7e+u039L1GB0djZEjR8LR0RFSqRRhYWH4+++/AQC5ubmYN2+eqo4bN26ML7/8ssxtG1JPVXU+aFNYWIgdO3agV69ecHZ2Vn13e/bsiT179kCpVPLWX7hwIa88+/bt46WPGzdOlSYUCnH58mUA6m0sFy9ejOjoaLz11ltwcXGBubk5WrRoge3bt6uVUVPehw8fYuTIkXB2doZAIODdNWSM4dChQxg4cCDc3d1V51vHjh2xceNGFBQUaKyLAwcOoG/fvnBzc4NYLIa1tTUaNmyI0NBQLFiwQK3JwcuXL/H+++8jMDAQNjY2EIlEcHFxQVBQECZMmICtW7fy1telTdDdu3cxefJk+Pv7w8rKChYWFvDx8cH48eNx/fp1jeU25flRqRipVmJiYhgA1atr16465bt37x7z9vbm5S39ateuHUtJSeHlS0pKYgEBARrX7927N3N3d9e7LIwxVq9ePd62cnJyys2zc+dOreUHwM6fP88YYyw+Pp4FBQVpXTcgIIBFR0fz9rFo0SLeOjExMao0pVLJhgwZonFbvr6+LCwsjLdMHxEREcze3r7MskqlUt76DRo0UKW1bNmStW3bVmO+Hj16MKVSycvr4eGhtV44jmNr1qxRK2PJdTp27Mg8PT015p84caJa3q+++krjumKxmI0ePVrjZ1jsp59+YjY2NmWWVyQSsR07duhV35mZmSwkJERrPbi5ubHr16+r8nTt2lXr+g0aNNBp3yXztG/fnjk4OKhty9ramv31119lfq6ffvqp2nYNraeqOB+0SUhIYG3atNFapn79+rG8vDxVnsLCQhYcHKxKr1evHktKSmKMMXbixAle3o8//liVr/T1dODAgUwqlWrc56xZs3jlLJ23f//+zNramrds586djDHGZDKZ2vWh9Cs4OJglJyfz9rF48WKteQCwzz77TLX+y5cvmaurq9b1hUIhbx/arnmMMbZu3TomFAq1nh9LlixR+xxNdX5UNgqCqhlDgiCZTMb70Sy+YPfq1UstGOnTpw8v75tvvql2ce7Rowfz9fVVO5l1DYJu3LjBy9e2bVud8p0/f56Fh4ezJk2a8PKHhYWx8PBwFh4ezu7evcuUSiXvggiAubq6sl69eql9EZs1a8YKCwtV+9B2Qfj66695aWZmZqxjx44sODiYcRynVh+6unPnDrOwsODldXR0ZCEhISw0NJTZ29trDYKKX/7+/qxbt25MJBLxlpcOKjw8PJhUKmWtW7dmvXr1YgMHDmTt27dnEolElUckErHnz5/z8mm6gAUFBbFOnTrxjp/jOF5weffuXbUyNWnShHXv3l3tuEuX9/bt28zc3JxXri5durA+ffrwfqyEQiGLjIzUuc6HDRvG26e9vT0LDQ1VO69dXV1ZWloaY4yxhQsXsvDwcGZpaalKd3JyUp17U6dO1WnfpY/XzMyMderUiTVu3Ji3vLhufH19Wffu3Xl1bGVlxbKysoxST5V9PmijVCpZx44dedts3Lgx69+/v9o/Y6Xr+9GjR8zKykqVPmrUKJaens4L8tq0acP7vpe+nhYfa+fOnVnr1q3V0k6dOqU1LwDWqFEjFhYWxvz9/VVB0KhRo3jreHt7s379+rEWLVqoXcuK5efn8841GxsbFhoaysLCwlizZs1U50fJIGjJkiW87QUGBrKBAwfyghB9gqDjx4/z0gQCAWvbti3r2LEjMzMz46X9+OOPJj8/qgIFQdWMIUHQunXreHmGDx+uuhCkpqay5s2b89KLL5KxsbFMIBDwfpgfP37MGGNMoVCwsWPH6l0WmUzGWrVqxct37NgxveqgvP9cfvrpJ156p06dWHZ2NmOMsdzcXBYaGspL//7773Xatp+fHy/t5MmTqrRvv/1W7Quvq+HDh/PyjR49WlVexoouhrt37+blKR0EzZw5U5W2Z88eXtqiRYt4ee/cucPkcrlaOR48eMDLt2HDBl566eNbvXq1Kq30xbf44s8YY5MnT+alzZ49W5X2999/8y70AD8ICg8PVy23s7NjDx8+VKUlJyez+vXrq9JDQ0O1V3SJfZbcX0BAAEtMTGSMFZ3X48eP56UvXbqUl79k3etz97NY6Xrct28fY4yxgoICtbu1AwcOVH1W//3vf01ST5V9PmhT+kf3iy++4KVPnz5dlSYUCtUCs82bN/Pyl7yjZGlpyaKionjrl76eCgQCXr2W/senV69eZeYFwD755BPe9vPy8tidO3d460ybNo13d3bFihUar78JCQkalxfLzc1lJ0+eZBcvXlQtmzJlitbvw5MnT9j69et5y7Rd81q2bMlL++mnn1RpZ8+e5QUzfn5+vO2a4vyoChQEVTOGBEF9+vTh5Xn06BEvfe/evbz0BQsWMMbUf0znzp3LyxcXF6dXWbKystQeQXzwwQd6HT9j5QdBJS8EANgvv/zCS79y5QovfcyYMeVuOzY2lre8Y8eOauUq/Z+qLuRyOe8WuoODA+8//LKU/CG2tLRkGRkZqrSUlBReOSZPnszLm5yczBYvXszatWvHHBwc1P6jK36VDKwY41/U6tevzxQKhSqt9N29zz//XJVW8u6KRCLhlZUxxt555x2NP+4KhYJXN66urqq7LsWvknf2RCKRTo9Vv/jiC97+tmzZwkt/8eIFL71z585l1n1FgyB/f39eWunHrVeuXFGllQ4Q9u7da5R6quzzQZupU6fy8g0YMIB3HKXvEm3btk1tGwMHDtRY/s2bN6utW/p62rt3b166QqFgXl5eqnQLCwtVwFg6b+PGjdUePTPG2PLly3nrhYSE8I6pV69evPT58+czxoruipV8vBkWFsa+/fZb9vvvv7P09HSN9bdq1SrV+lKplC1dupSdOHGCPXnyhPf5lFTWNe/ly5e85R06dFDLW7rs//zzjyrNFOdHVaDeYbXAs2fPVH9LJBL4+vry0l977TWN68fFxfGWBwYG8t57eHjAzs4O6enp5ZYhPT0dYWFh+P3331XLpk+fjuXLl+t0DPooebyA+vGVdbzalK4LTV3xmzZtiqioKF2LCQBISUlBdna26n3z5s1hbW2t1zZ8fHxga2urei+VSnnp+fn5qr/j4uLQvn17tePRJDMzs8y0oKAgXm++8vZZrH79+ryyAkCzZs007iM5OZlXNwkJCTh06FCZZSosLMTLly/RqFGjMtcByj8/3NzcYG9vr2rsrsv5YajS51Hpz75keum04jquSD1VxfmgTelGucePH9e6vqbPZtu2bWjatCmSk5NVy8LCwjB58uRy91/68xAIBGjcuDFiY2MBFDVUT05OhouLi1reTp06aRwktfQxnTt3TmsZio+J4zh8/PHHmDt3LgDg1KlTOHXqlGq9Jk2a4M0338ScOXNU3drHjx+PtWvXIj4+HhkZGfj4449V69vY2KBHjx54//330alTJ61lAIDnz5/z3pf+nhQv++WXX3hl1/T9M9b5URWodxhRMXQU5KSkJHTv3p0XAM2dOxcbNmwwVtEqnalHhNaHg4MD771QKCxz3SVLlvB+8Ozt7dG7d2+Eh4fzxgoBAMaYUfZZkqnrzZAef1Wp9I9B6WEiSqcbS3E9VfX5UFGaPu9nz56p/WMWFRXFCxRNwc3NzSjbKXlMH374IY4cOYJBgwapBV4PHjzAwoULMXbsWNUyR0dHXL9+HXPnzkWLFi0gFotVaVlZWTh69ChCQkJw48YNo5RVV1V1fhgDBUG1QMku6vn5+fjnn3946aW7WBavXzIfADx8+JD3Pj4+vty7QPHx8ejSpQtu3bqlWrZixQosW7ZM1+LrrXS579+/z3tf1vFq4+npqXWbQNFFSV+Ojo68//Bv375t0ov1lStXVH+7u7vj6dOn+Pnnn3Hw4EGTBaUl6zc2Nlbth6usrtuOjo68gdu6d+8OVvSIvsxXWXeVyioPoP5Zvnz5kjfkgS7nR1WqSD1VxfmgTYMGDXjvnz17pvU4Vq1axVs/JycHo0ePVut2HR0djZkzZ5a7/9LnAmOMd3fXwsJCNTBmaWWNc1b6mC5evKj1mA4ePMhbf/DgwTh69CgSEhKQnp6Oq1evYtiwYar0w4cPIyEhQfXe1dUVy5Ytw19//YWcnBxER0djz549sLGxAVB0J7B0N3lNyvueAIZdS2saCoJqgbCwMN77+fPnqy4S6enpWLFiBS+9T58+AICuXbvyIvatW7eqbgsrlUrMmzdP636jo6PRuXNnVfAkFAqxbds2/Pe//63YAZWj9PF+9tlnqh/e/Px8fPLJJ7z04uPVxtPTk/cY8fLlyzh9+rTq/ffff68WJOpCKBTy9p+amoopU6ZAJpOplsnlcuzdu1fvbWtSciwoMzMz1X+KcrkcH330kVH2UVpISIjq79zcXF4AfPv27TKPTSgUolevXqr3Fy9exJ49e9TWi4+Px9q1a/HZZ5/pVJ7S58fq1atVj06USiXmz5/PS9fl/KhKFamnqjgftCn92cyePVvtn4K8vDwcP34c/fv3V8v/3nvv4dGjRwCKBmst+Qhs586dOHLkiNb9nzlzBhcvXlS937JlC++xUKdOnWBmpl8rkdLH9OGHHyIlJYW3TC6X49y5cxg1ahTvztyyZctw584d1XupVIp27dqpnZPFj9B+/fVX7Nu3T1VnQqEQDRs2xPDhw+Hs7Ky2vjaurq5o0aKF6n1kZCROnDihen/+/HmcOXNG9d7X1xc+Pj7lbrfGMXmrI6KX0o3xSnbRLf1avnw5Y6yoQXLJxn1AURfN3r17M2dnZ97y0j0KSnftlEqlrGfPnjp1kS/d68zT07PMsr569UrnOiivYbRCoVDrgebm5sZ69+6tVg9NmzZlBQUFOm1748aNvLTirs1t27atUBf50t2bgaKeeD169GC9e/dmTk5OWrvIa2qcW3Jb48aNUy0fM2aMWoPFfv36sQYNGqgdQ8l82rbJmPp5WbJH2r1799S6yAcGBurURf6vv/5iYrGYl+7n58f69evHevfuzXx8fFTlLl0mbUo3QHZwcGC9evVS6wHo7OysNnaWMRtGly7zuHHjyjyHzp8/z0sr2aPG0HqqivNBG6VSqTY2kp2dHevevTsbMGAAa9OmDe+7UtKxY8d4+ZYuXcoUCgXr0KED73v14sWLMssJ/NtFXtNYRREREQYdY+keoJaWlqxLly6q4QhKNmwvec0p7vLv4eHBQkJC2ODBg1mnTp14jdcFAoGqd+PKlSsZUNQB4fXXX2f9+vVj/fv3Vxsa5N1331XtQ9s1r3RPW6FQyNq1a8c6deqk9p3es2cP75hNcX5UBQqCqpmyxqbQ9Bo0aJAq3+3bt3ndZDW92rRpoxpgrJi2wRIHDBjAGyyxdAClaSybsl6lAxltyguCGCvqzRUYGKh1n35+fuzJkyc6b1uhUJTZ88TDw4N169atzB+w8hw/frzMQdoA7YMl6hMEPXz4kNna2mrcR+luq8b80Vu/fr3GfZqbm6v98JfuCnzo0CG1Qeg0vfQZdC0jI6PcwQ9dXFzYH3/8oZa3OgZBjBlWT1V1Pmjz4sULtX9iNL0EAoEqT0JCAm/Ms9atW6uGAXn06BFvGIbevXurenGVLucbb7yhNnZa8atk4KDvMWZlZbHevXuXe0wAeN3+S457VNarZK/d4iCovPP66dOnqjzlXU9Xr15d7mCJmo7dVOdHZaPHYbVEYGAgbt++jWXLlqFdu3aws7ODmZkZHB0dERISgq1btyIyMhJOTk68fE5OTrhy5QreffdduLu7QyKRICAgAMuXL8ePP/7Im0fJ1dW1sg+rTJ6envjzzz+xceNGdOvWDQ4ODjAzM4O9vT06duyI1atX4+bNm3rdvhUIBDh48CC++OIL+Pv7q6a1mDRpEm7cuKH27F8f/fv3x4MHDzB//ny0bt0aUqkUZmZmcHFxQefOnct99KirgIAAREZGon///rCxsYGlpSVatWqFPXv28HqSGNuMGTNw7NgxtG/fHhYWFrC3t8fAgQPx559/qrUjKH0eDR06FA8ePMBHH32kqhuhUAhbW1s0b94cEydOxMGDB/HNN9/oXB5bW1v8+uuv2L17N/r06QNnZ2eYmZnBxsYGrVu3xuLFi3Hv3j0EBwcb5fgrgyH1VFXngzZubm64evUqdu3ahbCwMLi6ukIkEsHc3Bze3t7o378/1qxZw3tMNXHiRNXUO2KxGLt27VI9tvLz8+M9gj19+jS++uorjfsOCAjAjRs3MHbsWDg7O0MikSAwMBBbtmzB+vXrDT4ma2trnDp1CocPH8aQIUPg6ekJiUQCsVgMT09PhIaGYunSpXj06BG8vLxU+Xbv3o2ZM2ciODgYHh4evDwDBw7EkSNHeMc2fPhwrF69GoMGDYK/vz/s7e1V50DLli3x4Ycf4tatW3pdq+bMmYMbN27gnXfega+vL8zNzVWfxZgxY3D16lW1qYxqE44xLV0CSK1XUFCA1NRUjQHOkiVLsGDBAtX7HTt2YMKECZVZPFJDxMfHw9XVVa1XSGJiIlq1aoX4+HgARQ0rTdklnZCSnj59ioYNG6reL1q0qFb/oBP90ThBdVxqaio8PDzQrl07NGvWDC4uLkhLS8PVq1d53SyLJ1skRJPPPvsMhw8fRkhICDw9PSEWi/Hs2TMcO3aM1/B14cKFVVhKQgjhoyCIQKlU4sqVK7zutCX5+fnh5MmTkEgklVwyUpMkJSWpze5dTCAQ4OOPP8bbb79dyaUihJCyURBUx9nb22PZsmU4f/48Hj58iKSkJCiVSjg6OiIoKAiDBg3C2LFjYWFhUdVFJdXYmDFjwBjD1atX8fLlS6Snp8PS0hLe3t7o3LkzJk2ahKCgoKouJiGE8FCbIEIIIYTUSdQ7jBBCCCF1EgVBhBBCCKmTKAgihBBCSJ1EQRAhhBBC6iQKggghhBBSJ1EQRAghhJA6iYIgQgghhNRJFAQRQgghpE76f5tE6/Xsv2pUAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_alignmentSim_vs_l2fc(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "finnish-seller",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene</th>\n",
-       "      <th>alignment_similarity_percentage</th>\n",
-       "      <th>opt_alignment_cost</th>\n",
-       "      <th>l2fc</th>\n",
-       "      <th>color</th>\n",
-       "      <th>abs_l2fc</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>CCRL2</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>55.943685</td>\n",
-       "      <td>-0.487688</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.487688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>77</th>\n",
-       "      <td>NFKBIA</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>54.673471</td>\n",
-       "      <td>-0.091748</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.091748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>68</th>\n",
-       "      <td>NLRP3</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.177548</td>\n",
-       "      <td>0.069058</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.069058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>TNF</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.990078</td>\n",
-       "      <td>-0.006439</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.006439</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>C5AR1</td>\n",
-       "      <td>0.2727</td>\n",
-       "      <td>57.858236</td>\n",
-       "      <td>0.8711</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.8711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>NUP54</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>30.744063</td>\n",
-       "      <td>0.012993</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.012993</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>CD44</td>\n",
-       "      <td>0.7647</td>\n",
-       "      <td>28.366715</td>\n",
-       "      <td>-0.021366</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.021366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>PLAGL2</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>31.807956</td>\n",
-       "      <td>-0.051268</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.051268</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>ZSWIM4</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>30.214575</td>\n",
-       "      <td>0.030379</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.030379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>SGMS2</td>\n",
-       "      <td>0.8667</td>\n",
-       "      <td>37.626682</td>\n",
-       "      <td>-0.020399</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.020399</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>89 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Gene alignment_similarity_percentage opt_alignment_cost      l2fc  \\\n",
-       "63   CCRL2                          0.2174          55.943685 -0.487688   \n",
-       "77  NFKBIA                          0.2174          54.673471 -0.091748   \n",
-       "68   NLRP3                          0.2174          57.177548  0.069058   \n",
-       "3      TNF                          0.2174          57.990078 -0.006439   \n",
-       "45   C5AR1                          0.2727          57.858236    0.8711   \n",
-       "..     ...                             ...                ...       ...   \n",
-       "34   NUP54                            0.75          30.744063  0.012993   \n",
-       "15    CD44                          0.7647          28.366715 -0.021366   \n",
-       "19  PLAGL2                          0.8235          31.807956 -0.051268   \n",
-       "51  ZSWIM4                          0.8235          30.214575  0.030379   \n",
-       "26   SGMS2                          0.8667          37.626682 -0.020399   \n",
-       "\n",
-       "    color  abs_l2fc  \n",
-       "63    red  0.487688  \n",
-       "77    red  0.091748  \n",
-       "68    red  0.069058  \n",
-       "3     red  0.006439  \n",
-       "45    red    0.8711  \n",
-       "..    ...       ...  \n",
-       "34  green  0.012993  \n",
-       "15  green  0.021366  \n",
-       "19  green  0.051268  \n",
-       "51  green  0.030379  \n",
-       "26  green  0.020399  \n",
-       "\n",
-       "[89 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "previous-fever",
-   "metadata": {},
-   "source": [
-    "### Run gene set overrepresentation analysis over the top k mismatching genes\n",
-    "\n",
-    "Let us use 30% alignment similarity (=0.3) as a threshold in this case"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "lyric-english",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "63      CCRL2\n",
-       "77     NFKBIA\n",
-       "68      NLRP3\n",
-       "3         TNF\n",
-       "45      C5AR1\n",
-       "84    SPATA13\n",
-       "33      CXCL2\n",
-       "12     RALGDS\n",
-       "31     INSIG1\n",
-       "6       MALT1\n",
-       "Name: Gene, dtype: object"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "topDEgenes = df[list(df['alignment_similarity_percentage'] <=0.3)]['Gene']\n",
-    "topDEgenes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "statistical-complement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene_set</th>\n",
-       "      <th>Term</th>\n",
-       "      <th>Overlap</th>\n",
-       "      <th>P-value</th>\n",
-       "      <th>Adjusted P-value</th>\n",
-       "      <th>Old P-value</th>\n",
-       "      <th>Old Adjusted P-value</th>\n",
-       "      <th>Odds Ratio</th>\n",
-       "      <th>Combined Score</th>\n",
-       "      <th>Genes</th>\n",
-       "      <th>-log10 Adjusted P-value</th>\n",
-       "      <th>-log10 FDR q-val</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>C-type lectin receptor signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NF-kappa B signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>TNF-alpha Signaling via NF-kB</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;CCRL2;TNF;CXCL2</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>Inflammatory Response</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;C5AR1;CCRL2;NLRP3</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NOD-like receptor signaling pathway</td>\n",
-       "      <td>4/181</td>\n",
-       "      <td>1.305897e-06</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>74.625235</td>\n",
-       "      <td>1011.068962</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.392729</td>\n",
-       "      <td>4.392729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Lipid and atherosclerosis</td>\n",
-       "      <td>4/215</td>\n",
-       "      <td>2.592326e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>62.492891</td>\n",
-       "      <td>803.843248</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Legionellosis</td>\n",
-       "      <td>3/57</td>\n",
-       "      <td>2.596486e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>158.222222</td>\n",
-       "      <td>2034.951617</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Coronavirus disease</td>\n",
-       "      <td>4/232</td>\n",
-       "      <td>3.507534e-06</td>\n",
-       "      <td>0.000054</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>57.783626</td>\n",
-       "      <td>725.796849</td>\n",
-       "      <td>NFKBIA;C5AR1;NLRP3;TNF</td>\n",
-       "      <td>4.264666</td>\n",
-       "      <td>4.264666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Shigellosis</td>\n",
-       "      <td>4/246</td>\n",
-       "      <td>4.425543e-06</td>\n",
-       "      <td>0.000059</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>54.402204</td>\n",
-       "      <td>670.676767</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>4.230649</td>\n",
-       "      <td>4.230649</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>IL-17 signaling pathway</td>\n",
-       "      <td>3/94</td>\n",
-       "      <td>1.177987e-05</td>\n",
-       "      <td>0.000137</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>93.715856</td>\n",
-       "      <td>1063.592345</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.863467</td>\n",
-       "      <td>3.863467</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>T cell receptor signaling pathway</td>\n",
-       "      <td>3/104</td>\n",
-       "      <td>1.596141e-05</td>\n",
-       "      <td>0.000165</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>84.394625</td>\n",
-       "      <td>932.167056</td>\n",
-       "      <td>NFKBIA;TNF;MALT1</td>\n",
-       "      <td>3.782688</td>\n",
-       "      <td>3.782688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>TNF signaling pathway</td>\n",
-       "      <td>3/112</td>\n",
-       "      <td>1.993521e-05</td>\n",
-       "      <td>0.000185</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>78.169069</td>\n",
-       "      <td>846.025656</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.731896</td>\n",
-       "      <td>3.731896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Yersinia infection</td>\n",
-       "      <td>3/137</td>\n",
-       "      <td>3.642707e-05</td>\n",
-       "      <td>0.000308</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>63.505330</td>\n",
-       "      <td>649.037070</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.511485</td>\n",
-       "      <td>3.511485</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Influenza A</td>\n",
-       "      <td>3/172</td>\n",
-       "      <td>7.174680e-05</td>\n",
-       "      <td>0.000556</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>50.264582</td>\n",
-       "      <td>479.643099</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.254896</td>\n",
-       "      <td>3.254896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Pathogenic Escherichia coli infection</td>\n",
-       "      <td>3/197</td>\n",
-       "      <td>1.073310e-04</td>\n",
-       "      <td>0.000768</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>43.731959</td>\n",
-       "      <td>399.692315</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.114735</td>\n",
-       "      <td>3.114735</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                Gene_set                                      Term Overlap  \\\n",
-       "13       KEGG_2021_Human  C-type lectin receptor signaling pathway   4/104   \n",
-       "14       KEGG_2021_Human              NF-kappa B signaling pathway   4/104   \n",
-       "0   MSigDB_Hallmark_2020             TNF-alpha Signaling via NF-kB   4/200   \n",
-       "1   MSigDB_Hallmark_2020                     Inflammatory Response   4/200   \n",
-       "15       KEGG_2021_Human       NOD-like receptor signaling pathway   4/181   \n",
-       "16       KEGG_2021_Human                 Lipid and atherosclerosis   4/215   \n",
-       "17       KEGG_2021_Human                             Legionellosis    3/57   \n",
-       "18       KEGG_2021_Human                       Coronavirus disease   4/232   \n",
-       "19       KEGG_2021_Human                               Shigellosis   4/246   \n",
-       "20       KEGG_2021_Human                   IL-17 signaling pathway    3/94   \n",
-       "21       KEGG_2021_Human         T cell receptor signaling pathway   3/104   \n",
-       "22       KEGG_2021_Human                     TNF signaling pathway   3/112   \n",
-       "23       KEGG_2021_Human                        Yersinia infection   3/137   \n",
-       "24       KEGG_2021_Human                               Influenza A   3/172   \n",
-       "25       KEGG_2021_Human     Pathogenic Escherichia coli infection   3/197   \n",
-       "\n",
-       "         P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  \\\n",
-       "13  1.414253e-07          0.000007            0                     0   \n",
-       "14  1.414253e-07          0.000007            0                     0   \n",
-       "0   1.944057e-06          0.000013            0                     0   \n",
-       "1   1.944057e-06          0.000013            0                     0   \n",
-       "15  1.305897e-06          0.000040            0                     0   \n",
-       "16  2.592326e-06          0.000048            0                     0   \n",
-       "17  2.596486e-06          0.000048            0                     0   \n",
-       "18  3.507534e-06          0.000054            0                     0   \n",
-       "19  4.425543e-06          0.000059            0                     0   \n",
-       "20  1.177987e-05          0.000137            0                     0   \n",
-       "21  1.596141e-05          0.000165            0                     0   \n",
-       "22  1.993521e-05          0.000185            0                     0   \n",
-       "23  3.642707e-05          0.000308            0                     0   \n",
-       "24  7.174680e-05          0.000556            0                     0   \n",
-       "25  1.073310e-04          0.000768            0                     0   \n",
-       "\n",
-       "    Odds Ratio  Combined Score                     Genes  \\\n",
-       "13  132.600000     2091.300110    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "14  132.600000     2091.300110    NFKBIA;TNF;CXCL2;MALT1   \n",
-       "0    67.326531      885.393278    NFKBIA;CCRL2;TNF;CXCL2   \n",
-       "1    67.326531      885.393278  NFKBIA;C5AR1;CCRL2;NLRP3   \n",
-       "15   74.625235     1011.068962    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "16   62.492891      803.843248    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "17  158.222222     2034.951617          NFKBIA;TNF;CXCL2   \n",
-       "18   57.783626      725.796849    NFKBIA;C5AR1;NLRP3;TNF   \n",
-       "19   54.402204      670.676767    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "20   93.715856     1063.592345          NFKBIA;TNF;CXCL2   \n",
-       "21   84.394625      932.167056          NFKBIA;TNF;MALT1   \n",
-       "22   78.169069      846.025656          NFKBIA;TNF;CXCL2   \n",
-       "23   63.505330      649.037070          NFKBIA;NLRP3;TNF   \n",
-       "24   50.264582      479.643099          NFKBIA;NLRP3;TNF   \n",
-       "25   43.731959      399.692315          NFKBIA;NLRP3;TNF   \n",
-       "\n",
-       "    -log10 Adjusted P-value  -log10 FDR q-val  \n",
-       "13                 5.182020          5.182020  \n",
-       "14                 5.182020          5.182020  \n",
-       "0                  4.898378          4.898378  \n",
-       "1                  4.898378          4.898378  \n",
-       "15                 4.392729          4.392729  \n",
-       "16                 4.316101          4.316101  \n",
-       "17                 4.316101          4.316101  \n",
-       "18                 4.264666          4.264666  \n",
-       "19                 4.230649          4.230649  \n",
-       "20                 3.863467          3.863467  \n",
-       "21                 3.782688          3.782688  \n",
-       "22                 3.731896          3.731896  \n",
-       "23                 3.511485          3.511485  \n",
-       "24                 3.254896          3.254896  \n",
-       "25                 3.114735          3.114735  "
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pathway_df = PathwayAnalyserV2.run_overrepresentation_analysis(topDEgenes) # this is a wrapper function call for GSEAPy enrichr inferface\n",
-    "pathway_df[pathway_df['Adjusted P-value']<0.001] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "macro-interview",
-   "metadata": {},
-   "source": [
-    "### Clustering genes using their alignments\n",
-    "\n",
-    "We first run cluster diagnostics to decide on a distance threshold with a good tradeoff between the number of clusters and the quality of structure. We use levenshtein distance metric"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "persistent-potter",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " 68%|██████▊   | 67/99 [00:00<00:00, 248.94it/s]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Running experiment to determine the distance threshold with a good trade-off\n",
-    "df = ClusterUtils.run_clustering(aligner, metric='levenshtein', experiment_mode=True) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "radical-vertical",
-   "metadata": {},
-   "source": [
-    "We can inspect structures of distance thresholds that give local optimals of the mean silhouette score."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "id": "patent-ratio",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Distance threshold</th>\n",
-       "      <th>Mean Silhouette Score</th>\n",
-       "      <th>Number of clusters</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>0.67</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65</th>\n",
-       "      <td>0.66</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>64</th>\n",
-       "      <td>0.65</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>0.64</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>0.63</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>61</th>\n",
-       "      <td>0.62</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60</th>\n",
-       "      <td>0.61</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>59</th>\n",
-       "      <td>0.60</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>58</th>\n",
-       "      <td>0.59</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>57</th>\n",
-       "      <td>0.58</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56</th>\n",
-       "      <td>0.57</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55</th>\n",
-       "      <td>0.56</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>54</th>\n",
-       "      <td>0.55</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>53</th>\n",
-       "      <td>0.54</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>52</th>\n",
-       "      <td>0.53</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>0.52</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>0.51</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>48</th>\n",
-       "      <td>0.49</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47</th>\n",
-       "      <td>0.48</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>46</th>\n",
-       "      <td>0.47</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>0.46</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>44</th>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>0.44</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>0.40</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>0.39</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>0.38</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>0.37</td>\n",
-       "      <td>0.374944</td>\n",
-       "      <td>7.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.10</td>\n",
-       "      <td>0.384710</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.398382</td>\n",
-       "      <td>65.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.08</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.07</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.06</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.03</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.01</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Distance threshold  Mean Silhouette Score  Number of clusters\n",
-       "66                0.67               0.371279                 2.0\n",
-       "65                0.66               0.371279                 2.0\n",
-       "64                0.65               0.371279                 2.0\n",
-       "63                0.64               0.371279                 2.0\n",
-       "62                0.63               0.371279                 2.0\n",
-       "61                0.62               0.371279                 2.0\n",
-       "60                0.61               0.371279                 2.0\n",
-       "59                0.60               0.395886                 3.0\n",
-       "58                0.59               0.395886                 3.0\n",
-       "57                0.58               0.395886                 3.0\n",
-       "56                0.57               0.395886                 3.0\n",
-       "55                0.56               0.391956                 4.0\n",
-       "54                0.55               0.391956                 4.0\n",
-       "53                0.54               0.391956                 4.0\n",
-       "52                0.53               0.391956                 4.0\n",
-       "51                0.52               0.391956                 4.0\n",
-       "50                0.51               0.391956                 4.0\n",
-       "49                0.50               0.391956                 4.0\n",
-       "48                0.49               0.391956                 4.0\n",
-       "47                0.48               0.391956                 4.0\n",
-       "46                0.47               0.391956                 4.0\n",
-       "45                0.46               0.391956                 4.0\n",
-       "44                0.45               0.391956                 4.0\n",
-       "43                0.44               0.391956                 4.0\n",
-       "39                0.40               0.374176                 6.0\n",
-       "38                0.39               0.374176                 6.0\n",
-       "37                0.38               0.374176                 6.0\n",
-       "36                0.37               0.374944                 7.0\n",
-       "9                 0.10               0.384710                57.0\n",
-       "8                 0.09               0.398382                65.0\n",
-       "7                 0.08               0.415730                68.0\n",
-       "6                 0.07               0.415730                68.0\n",
-       "5                 0.06               0.415730                68.0\n",
-       "4                 0.05               0.415730                68.0\n",
-       "3                 0.04               0.415730                68.0\n",
-       "2                 0.03               0.415730                68.0\n",
-       "1                 0.02               0.415730                68.0\n",
-       "0                 0.01               0.415730                68.0"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df['Mean Silhouette Score'] > 0.37].sort_values('Distance threshold', ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "printable-atlanta",
-   "metadata": {},
-   "source": [
-    "If we select distance threshold 0.37 which gives a local optimal of 0.3749 silhouette_score with 7 clusters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "id": "necessary-alaska",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n",
-      "run agglomerative clustering |  0.37\n",
-      "silhouette_score:  0.37494418907841714\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.run_clustering(aligner, metric='levenshtein', DIST_THRESHOLD=0.37) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "czech-union",
-   "metadata": {},
-   "source": [
-    "Below visualizes all alignment paths in each cluster along with its number of genes "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "id": "alone-cathedral",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1200x600 with 8 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ClusterUtils.visualise_clusters(aligner,n_cols = 4, figsize= (10,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "surgical-window",
-   "metadata": {},
-   "source": [
-    "Below is the Levenshtein distance heat map of all genes ordered based on the above clustering structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "id": "scheduled-armstrong",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x1000 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_distmap_with_clusters(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sharp-salmon",
-   "metadata": {},
-   "source": [
-    "Print the cluster-specific aggregate (average) alignments for each cluster along with its number of genes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "id": "governing-talent",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "cluster:  0 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m 18\n",
-      "cluster:  1 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m 3\n",
-      "cluster:  2 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m 36\n",
-      "cluster:  3 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m 12\n",
-      "cluster:  4 \u001b[91mIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m 12\n",
-      "cluster:  5 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mV\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVV\u001b[0m\u001b[92mM\u001b[0m 2\n",
-      "cluster:  6 \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m 6\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.print_cluster_average_alignments(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "institutional-reynolds",
-   "metadata": {},
-   "source": [
-    "# Gene-set specific alignments"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "reduced-costa",
-   "metadata": {},
-   "source": [
-    "We can obtain the aggregate (average) alignment for any given gene subset in the aligner \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "nonprofit-northwest",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMIIDIIIIDDD\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "GENE_SUBSET = gene_list[40:60]\n",
-    "aligner.get_aggregate_alignment_for_subset(GENE_SUBSET )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "rubber-number",
-   "metadata": {},
-   "source": [
-    "We can check aggregate alignment and statistics of a pathway gene set with below provided wrapper function calls to retrieve pathway gene sets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "driving-share",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "IGS = PathwayAnalyserV2.InterestingGeneSets(MSIGDB_PATH='../MSIGDB/msigdb7.5.1/')\n",
-    "IGS.add_new_set_from_msigdb('hallmark', 'HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION', aligner.gene_list, 'EMT')   "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "municipal-peeing",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage:  51.04 %\n",
-      "mean matched percentage wrt ref:  64.29 %\n",
-      "mean matched percentage wrt query:  67.14 %\n",
-      "Average Alignment:  IDDDMMMMMMMMMMIMI\n",
-      "Z-normalised Interpolated mean trends\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "PathwayAnalyserV2.get_pathway_alignment_stat(aligner, IGS.SETS['EMT'], 'EMT', cluster=True, FIGSIZE=(6,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fitted-mayor",
-   "metadata": {},
-   "source": [
-    "# Complementary functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "provincial-technician",
-   "metadata": {},
-   "source": [
-    "Show all alignments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "id": "hybrid-absence",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Gene      Alignment\n",
-      "--------  ------------------------\n",
-      "PTAFR     \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\n",
-      "OSBPL3    \u001b[92mM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "RFFL      \u001b[92mM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "TNFAIP2   \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "SGMS2     \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\n",
-      "SLC16A10  \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "FPR1      \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "FAM20C    \u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLEC4D    \u001b[91mI\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TSHZ1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IL1F9     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PSTPIP2   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "RELA      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NUP54     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "DDHD1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NRP2      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TREM1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "GRAMD1B   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "TOP1      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ICOSL     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "DUSP16    \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "PTPRE     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "LDLR      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TNIP1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "PLAGL2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZSWIM4    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZC3H12C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "AK150559  \u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "F10       \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDDDD\u001b[0m\n",
-      "FAM108C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RBM7      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RASA2     \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "SLC25A37  \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "IRAK-2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLEKHO2   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "LCP2      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TRIM13    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PTX3      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMMMM\u001b[0m\n",
-      "SPATA13   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "BCL2L11   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "CD44      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVV\u001b[0m\n",
-      "AK163103  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "LZTFL1    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IRAK3     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mII\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "ARG2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "ZEB2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TLR2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "MCOLN2    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CPD       \u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "RCAN1     \u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "PILRA     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ARHGEF3   \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "C5AR1     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\n",
-      "SLC39A14  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLCN7     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "BC031781  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NUPR1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CDC42EP4  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIE    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PLSCR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "NCK1      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "ADORA2B   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "ORAI2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "KLF7      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "NIACR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PDE4B     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "SERTAD2   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MPP5      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TGM2      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "PIP5K1A   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "FLRT3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\n",
-      "SOCS3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "TNFAIP3   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "RASGEF1B  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "SLC25A25  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[92mM\u001b[0m\n",
-      "INSIG1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MALT1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "RALGDS    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "H1F0      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "IL1A      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "NLRP3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TNF       \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIA    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLK2      \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIZ    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "NFKBID    \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "CCRL2     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "30      PTAFR\n",
-       "40     OSBPL3\n",
-       "74       RFFL\n",
-       "80    TNFAIP2\n",
-       "26      SGMS2\n",
-       "       ...   \n",
-       "77     NFKBIA\n",
-       "81       PLK2\n",
-       "88     NFKBIZ\n",
-       "46     NFKBID\n",
-       "63      CCRL2\n",
-       "Name: genes, Length: 89, dtype: object"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aligner.show_ordered_alignments() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "political-holiday",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "environment": {
-   "kernel": "genes2genes",
-   "name": "pytorch-gpu.1-9.m82",
-   "type": "gcloud",
-   "uri": "gcr.io/deeplearning-platform-release/pytorch-gpu.1-9:m82"
-  },
-  "kernelspec": {
-   "display_name": "genes2genes",
-   "language": "python",
-   "name": "genes2genes"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/doc/source/notebooks/G2G_Tutorial.ipynb b/doc/source/notebooks/G2G_Tutorial.ipynb
deleted file mode 100644
index 8319294..0000000
--- a/doc/source/notebooks/G2G_Tutorial.ipynb
+++ /dev/null
@@ -1,1972 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "american-wages",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "logical-coordinate",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(CVXPY) Oct 11 05:41:15 PM: Encountered unexpected exception importing solver GLOP:\n",
-      "RuntimeError('Unrecognized new version of ortools (9.6.2534). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')\n",
-      "(CVXPY) Oct 11 05:41:15 PM: Encountered unexpected exception importing solver PDLP:\n",
-      "RuntimeError('Unrecognized new version of ortools (9.6.2534). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')\n",
-      "3.9.16\n"
-     ]
-    }
-   ],
-   "source": [
-    "import anndata\n",
-    "import numpy as np\n",
-    "import seaborn as sb\n",
-    "import matplotlib.pyplot as plt\n",
-    "import platform\n",
-    "from optbinning import ContinuousOptimalBinning\n",
-    "\n",
-    "import Main\n",
-    "import VisualUtils\n",
-    "import ClusterUtils\n",
-    "import TimeSeriesPreprocessor\n",
-    "import PathwayAnalyserV2\n",
-    "\n",
-    "print(platform.python_version())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "correct-pottery",
-   "metadata": {},
-   "source": [
-    "Load the reference and query anndata objects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "editorial-criterion",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input_dir = 'data/'\n",
-    "adata_ref = anndata.read_h5ad(input_dir + 'adata_pam_local.h5ad') # PAM dataset\n",
-    "adata_query = anndata.read_h5ad(input_dir +'adata_lps_local.h5ad') # LPS dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "perceived-purse",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AnnData object with n_obs × n_vars = 179 × 89\n",
-      "    obs: 'time'\n",
-      "AnnData object with n_obs × n_vars = 290 × 89\n",
-      "    obs: 'time'\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(adata_ref)\n",
-    "print(adata_query)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "split-identification",
-   "metadata": {},
-   "source": [
-    "### Min max normalize the pseudotime"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "accepted-message",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.0 1.0\n",
-      "0.0 1.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# check the current range\n",
-    "print(min(adata_ref.obs['time']), max(adata_ref.obs['time']))\n",
-    "print(min(adata_query.obs['time']), max(adata_query.obs['time']))\n",
-    "\n",
-    "# if it does not follow [0,1] range, run below\n",
-    "adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_ref.obs['time']))\n",
-    "adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(np.asarray(adata_query.obs['time']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "anticipated-advancement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Visualize the pseudotime distributions\n",
-    "sb.kdeplot(adata_ref.obs['time'], fill=True, label='PAM', color='forestgreen') \n",
-    "sb.kdeplot(adata_query.obs['time'], fill=True, label='LPS', color='midnightblue'); \n",
-    "plt.xlabel('pseudotime'); plt.legend(); plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "brave-found",
-   "metadata": {},
-   "source": [
-    "### Check the number of bins in the optimal binning structure using OptBinning package"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "configured-rally",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "14\n",
-      "14\n"
-     ]
-    }
-   ],
-   "source": [
-    "x = np.asarray(adata_ref.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))\n",
-    "\n",
-    "x = np.asarray(adata_query.obs.time)\n",
-    "optb = ContinuousOptimalBinning(name='pseudotime', dtype=\"numerical\")\n",
-    "optb.fit(x, x)\n",
-    "print(len(optb.splits))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sustained-auction",
-   "metadata": {},
-   "source": [
-    "OptBinning estimates 14 optimal number of splits for both reference and query pseudotime distributions. Therefore we choose the same number of interpolation points."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "careful-average",
-   "metadata": {},
-   "source": [
-    "### Visualize the interpolation binning structure in terms of the cell type composition \n",
-    "\n",
-    "For this dataset, we use the author-given time annotations (1h,2h,4h,6h) as the cell-type annotations. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "daily-english",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata_ref.obs['annotation'] = [x.split('_')[1] for x in adata_ref.obs_names] \n",
-    "adata_query.obs['annotation'] = [x.split('_')[1] for x in adata_query.obs_names] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "realistic-performance",
-   "metadata": {},
-   "source": [
-    "Next we define a colormap of our choice for these annotations, and call the below function. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "heavy-safety",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "# trying max n points for optimal binning = 14\n",
-      "====================================================\n",
-      "Optimal equal number of bins for R and Q =  14\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1000x100 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "col = np.array(sb.color_palette('colorblind'))[range(4)]\n",
-    "joint_cmap={'1h':col[0], '2h':col[1] , '4h':col[2] , '6h':col[3]}\n",
-    "vs = VisualUtils.VisualUtils.get_celltype_composition_across_time(adata_ref, adata_query, n_points=14, \n",
-    "                                     ANNOTATION_COLNAME='annotation', optimal_binning=False, ref_cmap=joint_cmap, query_cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "lined-complexity",
-   "metadata": {},
-   "source": [
-    "### Run G2G alignment\n",
-    "\n",
-    "We can now run Gene-level alignment for all 89 genes in the PAM and LPS datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "interesting-finland",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "89\n"
-     ]
-    }
-   ],
-   "source": [
-    "gene_list = adata_ref.var_names \n",
-    "print(len(gene_list))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "normal-colony",
-   "metadata": {},
-   "source": [
-    "This is done by first creating an aligner object, passing and setting all relevant parameters.\n",
-    "Next we align all gene pairs. (This step is parallelizing indepedenent gene-alignments to make the process time-efficient, however the computational time for an individual alignment will increase as the number of cells and/or the number of interpolation time points increase. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "democratic-frequency",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WINDOW_SIZE= 0.1\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "793a80e659c84f4783d1e40a698b6af5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/89 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, len(vs.optimal_bining_S))\n",
-    "aligner.WEIGHT_BY_CELL_DENSITY = True\n",
-    "aligner.WINDOW_SIZE=0.1\n",
-    "aligner.state_params = [0.99,0.1,0.7]\n",
-    "aligner.optimal_binning = True\n",
-    "aligner.opt_binning_S = vs.optimal_bining_S\n",
-    "aligner.opt_binning_T = vs.optimal_bining_T\n",
-    "aligner.align_all_pairs() "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "seasonal-asbestos",
-   "metadata": {},
-   "source": [
-    "Now we can check the aggregate (average) alignment across all genes:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "actual-subject",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMMMIIIDID\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "aligner.get_aggregate_alignment()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "liberal-preview",
-   "metadata": {},
-   "source": [
-    "We can also visualize this alignment in terms of cell-type composition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "timely-characterization",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vs.visualize_gene_alignment(\"IDDDMMMMMMMMMIIIDID\", cmap=joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "identified-reminder",
-   "metadata": {},
-   "source": [
-    "We can also visualize an individual gene (e.g. JUNB), displaying its alignment statistics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "wooden-karma",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "Optimal alignment cost: 57.99 nits\n",
-      "Alignment similarity percentage: 21.74 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x200 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.show_gene_alignment('TNF', aligner, vs, joint_cmap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "otherwise-scene",
-   "metadata": {},
-   "source": [
-    "To check only the cell plots of a gene alignment (e.g. SERTAD2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "secret-asbestos",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1500x300 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plotTimeSeries('SERTAD2', aligner, plot_cells=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "talented-words",
-   "metadata": {},
-   "source": [
-    "The below attributes and functions can be used to examine any gene-alignment object"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "after-width",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DDDIDIDIDDDMMMMMIIIIIID\n",
-      "\u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "GENE = 'TNF'\n",
-    "gene_obj = aligner.results_map[GENE]\n",
-    "\n",
-    "al = gene_obj.alignment_str\n",
-    "print(al)\n",
-    "print(VisualUtils.color_al_str(al)) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "id": "regulated-anthony",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "01234567890123456789012 Alignment index \n",
-      "012 3 4 56789012      3 Reference index\n",
-      "\u001b[91m***\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m***\u001b[0m\u001b[92m*****\u001b[0m------\u001b[91m*\u001b[0m\n",
-      "---\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m-\u001b[91m*\u001b[0m---\u001b[92m*****\u001b[0m\u001b[91m******\u001b[0m-\n",
-      "   0 1 2   34567890123  Query index\n",
-      "DDDIDIDIDDDMMMMMIIIIIID 5-state string \n"
-     ]
-    }
-   ],
-   "source": [
-    "print(gene_obj.al_visual)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "utility-inspiration",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 500x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "gene_obj.landscape_obj.plot_alignment_landscape()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "opponent-parks",
-   "metadata": {},
-   "source": [
-    "### The alignment distribution across all genes \n",
-    "\n",
-    "We can use the alignment similarity percentage statistic of genes to rank genes from highly distant to highly similar"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "gross-syndrome",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage: \n",
-      "50.39 %\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df = aligner.get_stat_df() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "banned-alcohol",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_alignmentSim_vs_l2fc(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "finnish-seller",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene</th>\n",
-       "      <th>alignment_similarity_percentage</th>\n",
-       "      <th>opt_alignment_cost</th>\n",
-       "      <th>l2fc</th>\n",
-       "      <th>color</th>\n",
-       "      <th>abs_l2fc</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>CCRL2</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>55.943685</td>\n",
-       "      <td>-0.487688</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.487688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>77</th>\n",
-       "      <td>NFKBIA</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>54.673471</td>\n",
-       "      <td>-0.091748</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.091748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>68</th>\n",
-       "      <td>NLRP3</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.177548</td>\n",
-       "      <td>0.069058</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.069058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>TNF</td>\n",
-       "      <td>0.2174</td>\n",
-       "      <td>57.990078</td>\n",
-       "      <td>-0.006439</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.006439</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>C5AR1</td>\n",
-       "      <td>0.2727</td>\n",
-       "      <td>57.858236</td>\n",
-       "      <td>0.8711</td>\n",
-       "      <td>red</td>\n",
-       "      <td>0.8711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>NUP54</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>30.744063</td>\n",
-       "      <td>0.012993</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.012993</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>CD44</td>\n",
-       "      <td>0.7647</td>\n",
-       "      <td>28.366715</td>\n",
-       "      <td>-0.021366</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.021366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>PLAGL2</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>31.807956</td>\n",
-       "      <td>-0.051268</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.051268</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>ZSWIM4</td>\n",
-       "      <td>0.8235</td>\n",
-       "      <td>30.214575</td>\n",
-       "      <td>0.030379</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.030379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>SGMS2</td>\n",
-       "      <td>0.8667</td>\n",
-       "      <td>37.626682</td>\n",
-       "      <td>-0.020399</td>\n",
-       "      <td>green</td>\n",
-       "      <td>0.020399</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>89 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Gene alignment_similarity_percentage opt_alignment_cost      l2fc  \\\n",
-       "63   CCRL2                          0.2174          55.943685 -0.487688   \n",
-       "77  NFKBIA                          0.2174          54.673471 -0.091748   \n",
-       "68   NLRP3                          0.2174          57.177548  0.069058   \n",
-       "3      TNF                          0.2174          57.990078 -0.006439   \n",
-       "45   C5AR1                          0.2727          57.858236    0.8711   \n",
-       "..     ...                             ...                ...       ...   \n",
-       "34   NUP54                            0.75          30.744063  0.012993   \n",
-       "15    CD44                          0.7647          28.366715 -0.021366   \n",
-       "19  PLAGL2                          0.8235          31.807956 -0.051268   \n",
-       "51  ZSWIM4                          0.8235          30.214575  0.030379   \n",
-       "26   SGMS2                          0.8667          37.626682 -0.020399   \n",
-       "\n",
-       "    color  abs_l2fc  \n",
-       "63    red  0.487688  \n",
-       "77    red  0.091748  \n",
-       "68    red  0.069058  \n",
-       "3     red  0.006439  \n",
-       "45    red    0.8711  \n",
-       "..    ...       ...  \n",
-       "34  green  0.012993  \n",
-       "15  green  0.021366  \n",
-       "19  green  0.051268  \n",
-       "51  green  0.030379  \n",
-       "26  green  0.020399  \n",
-       "\n",
-       "[89 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "previous-fever",
-   "metadata": {},
-   "source": [
-    "### Run gene set overrepresentation analysis over the top k mismatching genes\n",
-    "\n",
-    "Let us use 30% alignment similarity (=0.3) as a threshold in this case"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "lyric-english",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "63      CCRL2\n",
-       "77     NFKBIA\n",
-       "68      NLRP3\n",
-       "3         TNF\n",
-       "45      C5AR1\n",
-       "84    SPATA13\n",
-       "33      CXCL2\n",
-       "12     RALGDS\n",
-       "31     INSIG1\n",
-       "6       MALT1\n",
-       "Name: Gene, dtype: object"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "topDEgenes = df[list(df['alignment_similarity_percentage'] <=0.3)]['Gene']\n",
-    "topDEgenes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "statistical-complement",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Gene_set</th>\n",
-       "      <th>Term</th>\n",
-       "      <th>Overlap</th>\n",
-       "      <th>P-value</th>\n",
-       "      <th>Adjusted P-value</th>\n",
-       "      <th>Old P-value</th>\n",
-       "      <th>Old Adjusted P-value</th>\n",
-       "      <th>Odds Ratio</th>\n",
-       "      <th>Combined Score</th>\n",
-       "      <th>Genes</th>\n",
-       "      <th>-log10 Adjusted P-value</th>\n",
-       "      <th>-log10 FDR q-val</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>C-type lectin receptor signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NF-kappa B signaling pathway</td>\n",
-       "      <td>4/104</td>\n",
-       "      <td>1.414253e-07</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>132.600000</td>\n",
-       "      <td>2091.300110</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2;MALT1</td>\n",
-       "      <td>5.182020</td>\n",
-       "      <td>5.182020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>TNF-alpha Signaling via NF-kB</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;CCRL2;TNF;CXCL2</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>MSigDB_Hallmark_2020</td>\n",
-       "      <td>Inflammatory Response</td>\n",
-       "      <td>4/200</td>\n",
-       "      <td>1.944057e-06</td>\n",
-       "      <td>0.000013</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>67.326531</td>\n",
-       "      <td>885.393278</td>\n",
-       "      <td>NFKBIA;C5AR1;CCRL2;NLRP3</td>\n",
-       "      <td>4.898378</td>\n",
-       "      <td>4.898378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>NOD-like receptor signaling pathway</td>\n",
-       "      <td>4/181</td>\n",
-       "      <td>1.305897e-06</td>\n",
-       "      <td>0.000040</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>74.625235</td>\n",
-       "      <td>1011.068962</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.392729</td>\n",
-       "      <td>4.392729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Lipid and atherosclerosis</td>\n",
-       "      <td>4/215</td>\n",
-       "      <td>2.592326e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>62.492891</td>\n",
-       "      <td>803.843248</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Legionellosis</td>\n",
-       "      <td>3/57</td>\n",
-       "      <td>2.596486e-06</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>158.222222</td>\n",
-       "      <td>2034.951617</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>4.316101</td>\n",
-       "      <td>4.316101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Coronavirus disease</td>\n",
-       "      <td>4/232</td>\n",
-       "      <td>3.507534e-06</td>\n",
-       "      <td>0.000054</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>57.783626</td>\n",
-       "      <td>725.796849</td>\n",
-       "      <td>NFKBIA;C5AR1;NLRP3;TNF</td>\n",
-       "      <td>4.264666</td>\n",
-       "      <td>4.264666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Shigellosis</td>\n",
-       "      <td>4/246</td>\n",
-       "      <td>4.425543e-06</td>\n",
-       "      <td>0.000059</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>54.402204</td>\n",
-       "      <td>670.676767</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF;MALT1</td>\n",
-       "      <td>4.230649</td>\n",
-       "      <td>4.230649</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>IL-17 signaling pathway</td>\n",
-       "      <td>3/94</td>\n",
-       "      <td>1.177987e-05</td>\n",
-       "      <td>0.000137</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>93.715856</td>\n",
-       "      <td>1063.592345</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.863467</td>\n",
-       "      <td>3.863467</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>T cell receptor signaling pathway</td>\n",
-       "      <td>3/104</td>\n",
-       "      <td>1.596141e-05</td>\n",
-       "      <td>0.000165</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>84.394625</td>\n",
-       "      <td>932.167056</td>\n",
-       "      <td>NFKBIA;TNF;MALT1</td>\n",
-       "      <td>3.782688</td>\n",
-       "      <td>3.782688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>TNF signaling pathway</td>\n",
-       "      <td>3/112</td>\n",
-       "      <td>1.993521e-05</td>\n",
-       "      <td>0.000185</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>78.169069</td>\n",
-       "      <td>846.025656</td>\n",
-       "      <td>NFKBIA;TNF;CXCL2</td>\n",
-       "      <td>3.731896</td>\n",
-       "      <td>3.731896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Yersinia infection</td>\n",
-       "      <td>3/137</td>\n",
-       "      <td>3.642707e-05</td>\n",
-       "      <td>0.000308</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>63.505330</td>\n",
-       "      <td>649.037070</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.511485</td>\n",
-       "      <td>3.511485</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Influenza A</td>\n",
-       "      <td>3/172</td>\n",
-       "      <td>7.174680e-05</td>\n",
-       "      <td>0.000556</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>50.264582</td>\n",
-       "      <td>479.643099</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.254896</td>\n",
-       "      <td>3.254896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>KEGG_2021_Human</td>\n",
-       "      <td>Pathogenic Escherichia coli infection</td>\n",
-       "      <td>3/197</td>\n",
-       "      <td>1.073310e-04</td>\n",
-       "      <td>0.000768</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>43.731959</td>\n",
-       "      <td>399.692315</td>\n",
-       "      <td>NFKBIA;NLRP3;TNF</td>\n",
-       "      <td>3.114735</td>\n",
-       "      <td>3.114735</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                Gene_set                                      Term Overlap  \\\n",
-       "13       KEGG_2021_Human  C-type lectin receptor signaling pathway   4/104   \n",
-       "14       KEGG_2021_Human              NF-kappa B signaling pathway   4/104   \n",
-       "0   MSigDB_Hallmark_2020             TNF-alpha Signaling via NF-kB   4/200   \n",
-       "1   MSigDB_Hallmark_2020                     Inflammatory Response   4/200   \n",
-       "15       KEGG_2021_Human       NOD-like receptor signaling pathway   4/181   \n",
-       "16       KEGG_2021_Human                 Lipid and atherosclerosis   4/215   \n",
-       "17       KEGG_2021_Human                             Legionellosis    3/57   \n",
-       "18       KEGG_2021_Human                       Coronavirus disease   4/232   \n",
-       "19       KEGG_2021_Human                               Shigellosis   4/246   \n",
-       "20       KEGG_2021_Human                   IL-17 signaling pathway    3/94   \n",
-       "21       KEGG_2021_Human         T cell receptor signaling pathway   3/104   \n",
-       "22       KEGG_2021_Human                     TNF signaling pathway   3/112   \n",
-       "23       KEGG_2021_Human                        Yersinia infection   3/137   \n",
-       "24       KEGG_2021_Human                               Influenza A   3/172   \n",
-       "25       KEGG_2021_Human     Pathogenic Escherichia coli infection   3/197   \n",
-       "\n",
-       "         P-value  Adjusted P-value  Old P-value  Old Adjusted P-value  \\\n",
-       "13  1.414253e-07          0.000007            0                     0   \n",
-       "14  1.414253e-07          0.000007            0                     0   \n",
-       "0   1.944057e-06          0.000013            0                     0   \n",
-       "1   1.944057e-06          0.000013            0                     0   \n",
-       "15  1.305897e-06          0.000040            0                     0   \n",
-       "16  2.592326e-06          0.000048            0                     0   \n",
-       "17  2.596486e-06          0.000048            0                     0   \n",
-       "18  3.507534e-06          0.000054            0                     0   \n",
-       "19  4.425543e-06          0.000059            0                     0   \n",
-       "20  1.177987e-05          0.000137            0                     0   \n",
-       "21  1.596141e-05          0.000165            0                     0   \n",
-       "22  1.993521e-05          0.000185            0                     0   \n",
-       "23  3.642707e-05          0.000308            0                     0   \n",
-       "24  7.174680e-05          0.000556            0                     0   \n",
-       "25  1.073310e-04          0.000768            0                     0   \n",
-       "\n",
-       "    Odds Ratio  Combined Score                     Genes  \\\n",
-       "13  132.600000     2091.300110    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "14  132.600000     2091.300110    NFKBIA;TNF;CXCL2;MALT1   \n",
-       "0    67.326531      885.393278    NFKBIA;CCRL2;TNF;CXCL2   \n",
-       "1    67.326531      885.393278  NFKBIA;C5AR1;CCRL2;NLRP3   \n",
-       "15   74.625235     1011.068962    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "16   62.492891      803.843248    NFKBIA;NLRP3;TNF;CXCL2   \n",
-       "17  158.222222     2034.951617          NFKBIA;TNF;CXCL2   \n",
-       "18   57.783626      725.796849    NFKBIA;C5AR1;NLRP3;TNF   \n",
-       "19   54.402204      670.676767    NFKBIA;NLRP3;TNF;MALT1   \n",
-       "20   93.715856     1063.592345          NFKBIA;TNF;CXCL2   \n",
-       "21   84.394625      932.167056          NFKBIA;TNF;MALT1   \n",
-       "22   78.169069      846.025656          NFKBIA;TNF;CXCL2   \n",
-       "23   63.505330      649.037070          NFKBIA;NLRP3;TNF   \n",
-       "24   50.264582      479.643099          NFKBIA;NLRP3;TNF   \n",
-       "25   43.731959      399.692315          NFKBIA;NLRP3;TNF   \n",
-       "\n",
-       "    -log10 Adjusted P-value  -log10 FDR q-val  \n",
-       "13                 5.182020          5.182020  \n",
-       "14                 5.182020          5.182020  \n",
-       "0                  4.898378          4.898378  \n",
-       "1                  4.898378          4.898378  \n",
-       "15                 4.392729          4.392729  \n",
-       "16                 4.316101          4.316101  \n",
-       "17                 4.316101          4.316101  \n",
-       "18                 4.264666          4.264666  \n",
-       "19                 4.230649          4.230649  \n",
-       "20                 3.863467          3.863467  \n",
-       "21                 3.782688          3.782688  \n",
-       "22                 3.731896          3.731896  \n",
-       "23                 3.511485          3.511485  \n",
-       "24                 3.254896          3.254896  \n",
-       "25                 3.114735          3.114735  "
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pathway_df = PathwayAnalyserV2.run_overrepresentation_analysis(topDEgenes) # this is a wrapper function call for GSEAPy enrichr inferface\n",
-    "pathway_df[pathway_df['Adjusted P-value']<0.001] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "macro-interview",
-   "metadata": {},
-   "source": [
-    "### Clustering genes using their alignments\n",
-    "\n",
-    "We first run cluster diagnostics to decide on a distance threshold with a good tradeoff between the number of clusters and the quality of structure. We use levenshtein distance metric"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "persistent-potter",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " 68%|██████▊   | 67/99 [00:00<00:00, 248.94it/s]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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guHEQl6asUEJZoTS6TVWhcmxAhLgASqQljqbAIoQQQiSqvBw4coQvU400aQKFnwIKP4XRbcF+1G2AkPookZY4qpEmhBBCJOrIEUCjAcLDgQ4dxI6GuDBNjQYJ/RIMbkvolwBNjcbBERHi/GiwMYmjKbAIIYQQidJt1i2TiRsLcWlyHzmSBicB4H2ilRVKKPwUSOiXgKTBSfDz8hM5QkKcDyXSEic07aYaaUIIIURiaP5oYkN+Xn6Y1n8aEgcm4kbZDbQObA1NjYaSaEKMoKbdEkc10oQQQogEMUYjdhObC/INQqeMTnj464dRVFZEU14RYgIl0hJHNdKEEEKIBP31F/9y9/MD7r5b7GiIRMhkMtSyWpwoOIHCMqqFIcQUSqQljmqkCSGEEAkSmnX36QP4+IgbC5GUFv4tAAA3y2+KHAkhzo0SaYmj6a8IIYQQCaL+0cROKJEmxDyUSEscTX9FCCGESBD1jyZ2Qok0IeahRFrihET65k2gtlbcWAghhBBiA0VFwJkzfHnAAHFjIZJDiTQh5qFEWuJa8LIQtbWAUilqKIQQQgixBaE2unv3uj5chNgIJdKEmIcSaYnz8QGCgvgy9ZMmhBBCJICadRM7okSaEPNQIu0GaAosQgghREKEgcYGDhQ3DiJJ2kS6ghJpQkxx2kT60KFDeOCBB6BQKCCXy9G/f398++23Vh/v1q1baNOmDWQyGe677z6j+2VmZiI6OhqBgYEICgpCTEwMduzYYfX7OgOaAosQaaBykRCCqirg0CG+TDXSxA6oRpoQ83iJHYAhWVlZiI2NhZ+fH+Li4hAYGIj169dj3LhxuHz5MqZPn27xMadOnQqVSmVyny+//BLPPfccQkNDER8fDwBYt24dRo0ahW+//RZPPPGENb+O6GgKLEJcH5WLhBAAwNGjQEUF/3Lv2lXsaIgEUSJNiJmYk9FoNKxTp07M19eXHTt2TLteqVSyrl27Mh8fH3bhwgWLjvn9998zAGzZsmUMAIuNjW2wz82bN5lCoWAhISHs8uXL2vWXL19mISEhLCQkhBUXF1v0viqVigFgKpXKotfZ2rPPMgYw9t57ooZBiGic5Vy0FpWLhBCt99/nX+oPP9zkQ9H56Byc7XM4cOUAwzywdkvbiR0KIQ5nyfnodE27d+7ciXPnzuHpp59Gr169tOuDg4Mxa9YsVFVVYfXq1WYf78aNG5gyZQqee+45PPjgg0b3++6776BUKvHaa68hMjJSuz4yMhJTp05FYWEhNmzYYNXvJDZq2k2Ia6NykRCiJfSPpmbdxE5a+vOmjFQjTYhpTpdI79q1CwAwevToBttiY2MBANnZ2WYf71//+hc8PT3x4YcfOvR9nQkNNkaIa6NykRACAGCMEmlid0LT7tKqUlTVVIkcDSHOy+n6SOfm5gIAunTp0mBbeHg4AgICtPs05ssvv8QPP/yAjRs3onnz5ib7App6X2FdY+9bWVmJyspK7c/FxcVmxWlvISH80ayZ2JEQQqxB5SIhBABw8SIQGgp4eAD33it2NESigv2CIYMMDAy3ym8hLCBM7JAIcUpOVyMtXNQFBwcb3B4UFNTo4DgAkJeXh4SEBIwfPx5jxoxp0vsG/TMRc2Pvm5qaiuDgYO2jbdu2jb6vI8TGAhcuANOm8cE+1WqxIyKEWILKRUII1GogPBz46Sfg7FmgtlbsiIhEecg80Ny/OQBq3k2IKU6XSNvK5MmT4e3tjYyMDIe9Z1JSElQqlfZx+fJlh723MRUVwMqVQGQkEBUFhIUBaWl8PSHEvVC5SIiLqqjgX94REUDHjkCbNvRlTuyKRu4mpHFOl0gLNR/GajmKi4uN1soIVq9ejS1btuDjjz9GiDDSVhPeV2iK2Nj7+vr6IigoSO8hJrUaSE0FFiwAlEq+TqkEUlL4eqqZJsQ1ULlIiBsTvsxTUujL3AE2bNiAUaNGoWXLlvDz80OHDh0wfvz4BjcBi4uLMW3aNLRv3x6+vr6IiorC22+/jdLSUpEity0hkS4qpwF2CDHG6RJpU/3u8vPzUVpaarC/nq5jx44BAJ588knIZDLto0OHDgCAzMxMyGQyvdFvTb2vqX6CzszbGzBW8ZSRwbcTQpwflYuEuDH6MncIxhhefvllPP744zh//jzi4uLwxhtvYMiQIdi7dy8uXryo3VetViM6OhpLly5F9+7d8eabb6Jbt25IT0/H8OHDUSGBlgJUI01I45xusLHo6GikpqZi27ZtiIuL09uWmZmp3ceUAQMGGLwjWFpainXr1iEyMhKxsbFo166d3vt+/fXX2LZtG/r372/V+zobpbLu5rWhbSoVH7OEEOLcqFwkxI3Rl7lDZGRk4L///S9eeeUVZGRkwNPTU297dXW1djktLQ3Hjx/HjBkzsHjxYu36mTNnYsmSJVi6dCmSkpIcFrs9UCJNSONkjDEmdhC6qqur0a1bN1y9ehX79+/X1o6oVCr07dsXFy5cwJ9//omoqCgAwLVr16BSqRAREdFoE8MLFy6gQ4cOiI2NxdatW/W23bp1Cx06dIC3tzeOHTumnTP1ypUruPvuuwEAf//9NwIDA83+XYTmliqVSpTmjFVVvE+0oe9fhQK4fh3w8XF0VIQ4ntjnYlNRuUiIG7Pjlzmdj1x5eTnatGmD5s2b488//4SXl/F6JsYYIiMjUVxcjPz8fMjlcu02tVqN8PBwtGrVCufOnTP7/Z3xc3ht82tYdmgZ3hnyDhYOXyh2OIQ4jCXno9M17fby8sLy5ctRW1uLoUOH4qWXXsL06dNx11134a+//sKiRYu0F4sAH8jmtttuw4YNG5r0vs2bN8eyZctQWFiIe+65B6+99hpee+013HPPPSgqKsInn3xi0cWiM9BogIQEw9sSEvh2QppCrebXeEVFQEmJ6eWCAho13lpuXS4K/2T0D0Tc1ZUrwNSphrfRl7lNbNu2Dbdu3cKjjz6Kmpoa/PDDD1i8eDE+++wznD17Vm/f3Nxc5OXlYdCgQXpJNADI5XIMGjQIf//9t8sPrEg10oQ0zukSaQCIiYnB7t27MWjQIKxbtw6ffvopwsLC8M0332D69Ol2e99nn30WW7ZsQffu3bFy5UqsWrUKt99+O7Zt24Ynn3zSbu9rL3I5kJQEJCfzm9YAf05O5uvrlf+EWEQYRHbIED4Li6nlsLC6Bw00ax23LBeFfzL6ByLu6tQp4MknecI8Zw59mdvJkSNHAACenp7o2bMnxo4di6SkJEyZMgXdunXDW2+9pd23sfEhTI0tIaisrERxcbHew9lQIk2IGRixG5VKxQAwlUolahylpYyVlTF2/jx/Li0VNRwiAaWljCUnMwYwtnEjY7Nnm16u/0hOduz/obOci8SCz0L3n0zsfyBCxFBczFj37vx/fuJExkpKGKusZKyggD/b4BygspF7+eWXGQDm6enJ+vTpww4ePMhKSkpYTk4O6969OwPAPvnkE8YYY1999RUDwN555x2Dx5o1axYDwH744Qej7zd37lwGoMHDmT6HNcfXMMwDG7VmlNihEOJQlpSLTlkjTWxLLgfeew94+GFg4UK6eU2aThhENiQEGDkSWLbM+LIhNNAsaRSNVEzcGWPACy8AZ84ArVsDS5YAAQG8L3RoKH+mL3Obqa2tBQD4+Phg48aN6NOnDwICAjBkyBB899138PDwwPvvv2+z90tKSoJKpdI+nLEZONVIE9I4SqTdRFAQcOIEYMHYF4QYJQwiGx7Ou66aWjb2eiNTIhPCmTNSMSFS9eGHwHffAV5e/DksTOyIJE0YlLF3795o3bq13rYePXqgY8eOOHfuHJRKpXZflZEySGimbWqgR19fXwQFBek9nA0l0oQ0jhJpNxERwZ+vXRM3DiINCgV/5OcDrVqZXjb2+kYGkybuTvgnM7aN/oGIVO3eDbz9Nl9+/31g4EBx43ED3bp1AwAojJQ5wvry8vJG+0A31ofaVVAiTUjjKJF2E5RIE1sSRoQvLAS2b+cDyhpbNoQGmiWNomkHiDvKzweeegqorgbGjwdee03siNxCTEwMAOD06dMNtmk0Gpw9exZyuRyhoaHo0qULWrdujT179kBdbxYBtVqNPXv2oEOHDmjbtq1DYrcXIZFWVapQXVvdyN6EuCdKpN0EJdLEluRy4PXXgdmzgUWLeF5japkGmiUWMzbtwJw59A9EpKm6GoiL41/Ut98O/Pe/gEwmdlRuoVOnThg9ejTOnj2L5cuX621bvHgxlEolHnvsMXh5eUEmk2Hy5MkoLS3FggUL9PZdsGABSktL8eKLLzoyfLto7t9cu6ysUIoXCCFOTMYYY2IHIVWWTOhtb6WlgDDda0kJH7OEEGupVHzwumnTgPvv51P7ensDvr78f63+src3cP067+ZXU+P4HMiZzkV3Z/FnIdT43LjBB1nKyQFiYgA/P/sGSoijvf02kJ7Ov6APHQK6d7f7W1LZWOfcuXMYOHAgCgoK8OCDD6J79+44duwYdu7cifbt22P//v0IDw8HwGueBw0ahP/9738YPXo07rnnHhw9ehTbtm1Dnz59kJ2dDX9/f7Pf21k/h+DFwSiuLMafU/9E15ZdxQ6HEIew5HykGmk3ERBQl7xQrbRrUKuBqiqgqIjf/LBmuaCAPxcXN/1YustqNbBlC/+/8vUFWrTgN2p8fAwvP/ss8NBDwKZNVJFILNSsGdChA2/esHs3MHQocPNm3T8iIVLwww88iQaAlSsdkkQTfZ06dcLhw4cRHx+PI0eOICMjA7m5uXj11Vdx8OBBbRINAHK5HNnZ2XjjjTdw+vRpvP/++zhz5gymT5+OHTt2WJREOzPqJ02IaZRIuxGheXd+vrhxkMZVVABpacCQIUBtrXXLYWFAdDSvPU5Pb9qx6h+3TRsgMpJXDlZUNP771NbyUeNv3LD/345IjFoNtGwJ/N//AXv28H+8Nm34P2Jamnn/gIQ4sz//BOLj+fK0acATT4gajjtr27YtVq5ciWvXrqGqqgqXLl3CsmXL0KpVqwb7BgcHY+nSpbh06RKqqqpw8eJFpKenI1Bo/icBlEgTYpqX2AEQx4mIAM6epRppZ6dW8/wgJQXYuJFPmbtwoeXLALBqlfWvN3VcgM9AtGAB78KXmGi6plloGfPPrCCEmK+kBFi82PA/YEoKX27sH5AQZ6VWA2PH8v/zIUP4/zohToISaUJMoz7SduRsfV7GjQO+/Rb44AM+UBRxTlVVvLLNywu4cIFXwFm6rFQCISHWv97UcetTKHj/Zx8f479TQgLw0UfAO+/o50KO4mznojuz+LM4e5bfBWzKPyAhzogx3u9l7VogPBw4erSu6ZiDUNnoHJz1cxj3/Th8e/JbfHjfh0joZ2QWBUIkhvpIE4No5G7XoFTyR3g47+NszTLQtNebOq6heFUq078T1UgTq1VUNP0fkBBn9MknPIn29OR3uR2cRBPSmBZ+LRDSLAReHtSAlRBDKJF2I8I4GZRIOzeFgj/y84FWraxbBpr2elPHNRRvcLDp34kSaWK1mzeb/g9IiLPZvx94802+LAxEQYiTmdJ7Ci68fgEPd30YVTVVUFfRAI+E6KJE2o3QYGOuQaPhTaELC4Ht24GpUy1fBpr2elPHrS8hgcdsijD2CiXSxGJFRU3/ByTEmRQU8AHFNBr+LCTUhDiRiuoKfH/6e0QujUS7D9ohLD0MaXvTUFFNAzwSIqC2Gm6Emna7BrkcSEriy4sW8SmjrFletgyYOZOPrC2TNe1Y9Y+rVPKKwIQEHmtjU/pSjTSxmkoFLFnCR+z28OCDjln6D0iIs6ipAcaPB65eBbp146PRy2RiR0WIHnWVGml70rAgZ4F2nbJCiZRsPsBj4sBEyH1ogEdCaLAxO3K2wSP++APo2ZMPQkXTEDm/8+d5i1aVitfo+voCpaWAt7f5yyoVb/VaUcFzDUtf39hxNRrzBkv++WfgkUeAvn2BAwfs/7erz9nORXdm8WexdCmfEujll4H33+fJ9PXr/ORgjEbrJq5l1iwgNZXPj37wIHDHHaKGQ2Wjc3C2z6Gqpgph6WFQVigbbFP4KXD9revw8aQBHok0WXI+Uo20GxFqpAsL+cjQNMitczt4kLdmfeghYOVKvq5Fi7rt5iyHhvJn4bO29PXmHrcxVCNNrCYMMqZS8aT5gw94LV7v3nUnBiGu4KefeBINAMuXi55EE2KMskJpMIkWtqkqVAiVhzo2KEKcEPWRdiMtWvAaRYBX6BDnptHwmx5XrogdSdNRIk2sJiTSwoBi1dXAiRO87zQhruLsWWDCBL782mu8eTchTkrhp4DCT2F0W7AfDfBICECJtFvx8ODzEwM04JgrEMZPEm5+uDIabIxYTZjaSkikhWYQNMAYcRVlZcDYsfx/ecAAID1d7IgIMUlTozE6b3RCvwRoaqj8JQSgpt1uJyKC13DSgGPOT0qJtFAjXVoK1NbymzqEmEW4+yJMf0WJNHEljAGvvAL8/jvvE/Pdd9Svijg9uY8cSYP5qKcZBzKgrFBC4adAQr8EJA1Ogp8XDfBICECJtNuhkbtdhxQTaYAn004wlgpxFUIi3bw5f6ZEmriS//4XWL2a3z385hugTRuxIyLELH5efkgcmIjEgYm4UXYDEQERqK6tpiSaEB1UL+RmKJF2HVJKpH19634Pat5NLFJSwp/rJ9LV1eLEQ4i5Dh3iU7QBfA7B4cPFjYcQC8l95Ij9MhYPf/0wDlw5QFNeEVIPJdJuhhJp1yGlRFomowHHiJWERFroaE810sQVFBYCTzzBp8gYMwZITBQ7IkKs4unhiRMFJ3CtlC4cCamPEmk3Ex7O55H29RU7EtIYKSXSAA04RqykVvNn4U6McEJQIk2cVU0N8MwzwKVLQOfOvGm3TCZ2VIRYJbQZn+bqRtkNkSMhxPlQH2k3ExsLPPts3VzSGg2fmpU4H6kl0lQjTaxiLJGmpt3EmajV/H9TqeR3DadMAQoKeBIdTFMFEdclJNKFZYUiR0KI86EaaTdSUQGsXAlERgJRUXwqrLQ0vp44HyGR9pLI7S4hDxJa6hJiltJS/kw10sRZVVTwL9OwMP5o3Ro4cgTIyQF69hQ7OkKaJKRZCADghppqpAmpTyKX6KQxajX/nk9JqVunVNb9nJhINdPOhmqkidvTaIDKSr5MNdLEGRn7cl24kI/UTV+uxMWFyqlpNyHGUI20m/D2BjIyDG/LyJBOsiYllEgTt6fbfEHoZE810sSZ0JcrkThq2k2IcZRIuwmlkj+MbVOpHBgMMYtQ4SaV6zAabIxYTEikdedPE/o61NSIExMhuujLlUictmk31UgT0gAl0m5CoeAPY9toLBTnQzXSxO0J/yy6TWOpaTdxJvTlSiRO27Sb+kgT0gAl0m5CowESEgxvS0igVpLOSKqJNA02RsxGiTRxdvTlSiROqJEuLCsEY0zkaAhxLk0ebOzUqVM4c+YM1Go1nnvuOVvEROxALgeSkvhyRgZvcaZQ8O/5pCTAz0/M6IghUk2k3aFGmspFGxH+WQIC6tZRIk2ciVwOvPEGUFsLLFtGX65EcoQ+0jWsBsoKJZr7Nxc5IkKch9U10ocOHUKvXr1w55134sknn0R8fLx2W05ODpo1a4affvrJFjESG/Hz4wOIXr0KnD8PXLvGf6bveedEibTroXLRxoTmC5RIE2eVnw9ERwP33suXCwqA69fpy5VIhq+XLwJ9+CAnNOAYIfqsSqRPnjyJ4cOH4/z583jzzTdx//33620fMmQIQkJC8N1339kkSGI7Qs30ww8Dn31Gs3I4M6kl0lIfbIzKRTu4dYs/C/88ACXSxLl8/jnwxx/AkiV8ULzQUMDHh75ciaTQgGOEGGZVIj137lwAwJEjR5Ceno4+ffrobZfJZBgwYAAOHTpkdWCHDh3CAw88AIVCAblcjv79++Pbb781+/VbtmxBXFwcunfvDoVCgWbNmqF79+544YUX8Ndffxl8TXV1NVasWIEBAwYgNDQUgYGBuP3225GYmIj8/Hyrfxdn4+kJnDjBb54T5yW1RFrqNdJULtqBkEgL/zwAJdLEeWg0/I40AEydKm4shNgRDThGiGFWJdLZ2dkYO3YsOnfubHSfdu3a4dq1a1YFlZWVhUGDBmH37t146qmn8K9//Qv5+fkYN24c3n//fbOOsXnzZuzfvx933XUXJk2ahKlTp6JLly5YvXo1evbsiZ07dzZ4zbhx4/DCCy+gsLAQcXFxePnll9GiRQu89957uOeeeySTTAuDiBqbsYM4B6km0lIdbIzKRTsQCindkY+FE6KmBqCBb4iYfvwRyMsDWrUCnnhC7GgIsRuaS5oQw6wabKykpAStWrUyuU95eTlqrJjns7q6Gi+++CI8PDyQk5ODXr16AQCSk5PRt29fzJo1C0888QTat29v8jjvvfcePvroowbrd+zYgZEjR2LGjBl6NUMHDx7EDz/8gL59+2L37t3w1sleXn/9dWRkZOC///0vkpOTLf6dnI0wUwdNb+ncpJpIS7VGmspFOzCVSAO8VloqJwhxPcuW8eeXXuLNugmRKGraTYhhVtVIt23bFn/88YfJfY4ePYpOnTpZfOydO3fi3LlzePrpp7UXiwAQHByMWbNmoaqqCqtXr270OH5GBvkYMWIEmjdvjrNnz+qt//vvvwEAI0eO1LtYBICHHnoIAHDjhjQKEOGalBJp50aJtGuhctEOhOYLhpp2AzS1EBHPH38A2dm8r9TLL4sdDSF2RTXShBhmVSL90EMPYdu2bdi+fbvB7d9++y3279+PRx991OJj79q1CwAwevToBttiY2MB8CaU1tq3bx9u3bqFHj166K2/4447AADbt2+Hpt7F2aZNmwDwi00poKbdrkFqibQwXlRVFVBZKW4s9kDloh0Id/ua60y3Qok0cQYff8yfH3sMiIwUNxZC7EzbR5pqpAnRY1XT7lmzZuH777/HAw88gIkTJ2r7yH3yySfYt28fvv76a0RFRWHatGkWHzs3NxcA0KVLlwbbwsPDERAQoN3HHNu2bcPevXtRWVmJ3NxcbNq0CSEhIVi6dKnefnfeeSdef/11fPjhh7j99ttx//33w9fXF/v27cORI0cwf/78Ri+AKysrUamTIRQ7adUbNe12DVJNpAFeKx0aKl4s9kDlomFNKheFfSmRJs5EqQS++IIv0yBjxA1om3bTYGOE6GNWOnv2LBs4cCCTyWQNHv3792fnz5+36rijRo1iAFhubq7B7a1bt2ZBQUFmH2/69OkMgPbRuXNndvjwYaP7f/DBB8zb21vvNQ8//DD7448/Gn2vuXPn6r1OeKhUKrPjdYQjRxgDGGvdWuxIiCl3380/p82bxY7EduRy/judO+fY91WpVA45F6lcbKhJ5WKvXvwf5ocf9Nd7ePD1eXmNH4MQW1u6lP//9ejBWG2t2NE0iaPKRmKas38OP535iWEeWJ//9hE7FELszpLz0aqm3QDQqVMn7NmzB0ePHsUnn3yChQsXIiMjAwcOHMC+ffsQFRVl7aFtKj09HYwxlJSU4MCBA+jWrRsGDRqEtWvX6u1XW1uLl156CbNnz8ZHH32Ea9euQaVSYfPmzTh9+jT69+/f6LQ1SUlJUKlU2sfly5ft+atZjWqkXYPUaqQB6feTpnKxoSaVi2o1f9ZtzgAAXv80pqIaaeJotbV1zbpffRWQycSNhxAHoMHGCDHCmkx90qRJ7N///rc1L23UE088wQAYrR0JCAhgbdu2tfr4Go2G3XXXXUwul7OCggLt+s8//5wBYB9++GGD1xw/fpwBYCNHjrTovZz1DmNhIb+ZDjCm0YgdDTGmWzf+Ge3aJXYktiP8TtnZjn1fR5yLVC6ax6LPIiKC/8McOKC/vlkzvv7sWYvem5Am27qV/+8FBTFWUiJ2NE3mrNcp7sbZP4fcolyGeWDyd+Vih0KI3dm9Rnrt2rUoKCiwRR7fgNAH0FB/v/z8fJSWlhrsJ2guLy8vxMTEQK1W4/Dhw9r1W7ZsAQDExMQ0eM1dd92F5s2b49ixY1a/rzPRHQCXaqWdlxRrpIWKRSnWSFO5aAdCjbRuoQVQjTQRjzDl1aRJQECAuLEQ4iDCqN1qjRrlmnKRoyHEeViVSHfq1AnXrl2zdSwAgOjoaAB8MJz6MjMz9faxVl5eHgDoTedSVVUFwPBULpWVlSgpKYGvROaJ9PYG5HK+TIm085JiIi3kQ8KsRlJC5aKNMUaJNHEuf/8N/PILX37lFXFjIcSBgnyD4O3BvxtoCixC6liVSD///PP45ZdfcPXqVVvHgxEjRqBjx45Yu3Ytjh8/rl2vUqmwaNEi+Pj4YMKECdr1165dw5kzZ6CqlxHq1qroyszMxIYNG6BQKDBgwADt+kGDBgEAFi1apDfCLADMmzcP1dXVBmtlXBVNgeX8pJxIS7FGmspFGysvB2pq+DIl0sQZfPopv8ETGwt07Sp2NIQ4jEwm0/aTpkSakDpWTX81duxYZGVlYeDAgUhMTESfPn0QFhYGmYFBN9q1a2dZQF5eWL58OWJjYzF06FDExcUhMDAQ69evx8WLF5Genq43YE9SUhJWr16NlStXIj4+Xru+T58+6NGjB3r27InIyEio1Wr8/vvv+O233+Dt7Y0VK1ZALlTLAnjllVewevVq7NixA927d8d9990Hf39/7NmzBwcPHkRoaChSUlIs/ls5K4UCyMujGmlnRom0a6Fy0caEZgsyWV0Tmro/CH+mRJo4SlkZ8H//x5dpyivihkLlobhWeo0GHCNEh1WJdMeOHSGTycAYQ0JCgtH9ZDIZqqurLT5+TEwMdu/ejblz52LdunXQaDS48847sWTJEowbN86sYyxatAhZWVnIzs7GjRs34OHhgXbt2uGll17CG2+8gdtuu01v/6CgIOzfvx9LlizBjz/+iFWrVqGmpgaRkZH417/+hXfeeQeRkZEW/y7OimqknR8l0q6FykUbE/5JmjVrODIyJdLE0b7+Grh1C+jQAbj/frGjIToYYzh79iz8/PzQtm1bscORLJpLmpCGrEqkJ0yYYLCWxZb69u2rHejGlFWrVmHVqlUN1iclJSEpKcmi9wwODsaiRYuwaNEii17nioREmmqkm06t5smuUslr+jWahhVo1hByLS+rzlLnJOXBxqhctDHhn8TQgE6envzZWCJtr5OSuCfG6gYZmzKl7v+PONQPP/yAjRs34sMPP0Tz5s0BABcuXMDDDz+MU6dOAQCefPJJfPXVV/Ckz8jmhAHHqGk3IXWsukQ3dIFGXAvNJW0bFRVAWhqQkQGEhwPp6cDw4UBREeDjA/j68haqwrIl1/VSrpGW4mBjVC7amJBIGzpRhJNCN5EWkueamrqTUjjhEhKApCTAz8/eURMp2rsXOH6c//88/7zY0bitTz/9FNevX9cm0QDw5ptv4uTJkxg+fDiKiorw3XffYcSIEXjxxRctPn5UVBQuXrxocFt0dDR27dqlt66yshJLlizBF198gcuXL6NFixZ46KGHsHDhQrRq1cri93d2NJc0IQ1JqK6LWIKadjedWs2v11NSgO7dgZwcfu2ekgJs2sS3bdtWt7xsmfnX9YxJO5GWYo00sTFTNdL1m3YLd7T69gX27wcWLqzbV6nkJyUAJCZSzTSx3Mcf8+ennwZathQ3Fjd26tQp3K/TrL6kpAS//PILxo0bh6+//hoajQZ33303VqxYYVUiDfAWOG+88UaD9bpjUABAbW0txowZg8zMTPTv3x9jx45Fbm4uli9fjh07dmD//v0IDQ21KgZnFdosFCHNQuDj6SN2KIQ4jSYn0nv27MHx48dRXFyMoKAg9OrVSzvSK3FeVCPddN7ePHEGgMWL+fLChcDGjYaXBeZc1wuDFQvvIxXukkhTuWgDQuHUWCIt3NH65BN+Qj37rOHjZWQA77xjn1iJdF27Bnz3HV9+9VVxY3FzN2/eRHh4uPbn3bt3o7q6GuPHjwfAp+4bNWoUvvrqK6vfQ6FQYN68eY3ut3r1amRmZmL8+PH46quvtN16PvvsM0yZMgWzZ8/Gf/7zH6vjcEZxPeLw1sC3UFRehKqaKmhqNJD70I1J4t6sTqT37t2LSZMm4ezZswD4YA9CQdKlSxesXLlSbxoV4lyoRrrplEr+CAkBRo4E4uONLxti6rpet8UqJdKug8pFGxIKp/pTXwF1J4VMVndHKzISKCgwXqgplTw5l1gtEbGzzz/nA1YMHAjcc4/Y0bi1oKAgFBUVaX/OysqCh4cHhgwZol3n7e0NtTD/vB19/vnnAIDU1FS9sTFefvllvPfee/jqq6/wwQcfwN/f3+6xOEJFdQW++uMrfHTwIygrlFD4KZDQLwFJg5Pg50VdZoj7siqRPnnyJEaPHo2ysjKMGjUKMTExiIiIQH5+PrKysrBt2zbExsZi//79uP32220dM7EBGmys6RQK/ggPr7t+79HD8LIhpq7rpZpIS3mwMSoXbezWLf5sKpH28qq7o+XlBbRqxU9KQyedQlFX8BFiDo0G+OwzvkxTXomue/fu+Pnnn7Fw4UJ4enpi7dq1uPfee/X6TF+8eBFhYWFWv0dlZSVWrVqFvLw8BAUFoU+fPujXr5/ePhUVFThw4AC6deuG9u3b622TyWQYNWoU/vOf/+Dw4cN6Sb6rUlepkbYnDQtyFmjXKSuUSMnmTesSByZSzTRxW1Yl0ikpKaiqqsLmzZtx33336W2bMWMGtm7dikceeQQpKSn45ptvbBIosS1q2t10Gg3v6/zJJ3XX7/n5hpctva6XaiIt5cHGqFy0MeGkMXSSCE27i4vr7mgVFgLbt/OER7cvhSAhgZ9YPtS/j5hpwwbetDssDBg7Vuxo3F5CQgKefPJJREZGamueF9Y71/fv3497mtByID8/H5MmTdJb16dPH3z99dfo1KkTAODcuXOora1Fly5dDB5DWJ+bm2s0ka6srERlZaX252Invrvs7emNjIMZBrdlHMjAO0OoywxxXx7WvGjXrl144oknGlwsCu677z488cQTyMrKalJwxH6oaXfTyeV8wLApU4Bdu/j1u+61vO6yIcJ1vSG666U0i0dQEG/yLqEp2bWoXLSx2lrerKN164bbhLtLJSV1d7QAYOZMvjx7dt3dQoUCSE7mJysNNEYsIUx59fLLdAPGCYwdOxYff/wx7rjjDnTt2hVLlixBvE7fqezsbBQXFxstgxszadIk7NixA9evX4darcaxY8fw3HPP4dChQxgxYgRK/rkDrPqnBiLYyJ3woH/uGKtM1FSkpqYiODhY+3Dm+a+VFUooK5RGt6kqqEaGuC+raqRVKhU6dOhgcp8OHTqYLESIuKhG2jb8/ID77wfuuguIiQE8PIBFi/hI3YD+siWjduuO2G3nqYkdKiQEuHCBt9otKTE+PVhFBf/b6G4ztuwsUwVTuWhDajWQmgpcv877TqjV+h+ukEhXVdXd0QJ4X+mhQ4H33gNmzeL/KEFBfPQ+mvqKWOL334HffuN3Ml96SexoyD+mTJmCKVOmGNwWHR2NW0KXECvMnTtX7+devXphzZo1AIAvvvgCn3/+OaZNm2b18XUlJSXpHau4uNhpk2mFnwIKP4XBZFrhp0CwH3WZIe7Lqhrp1q1bY//+/Sb3OXDgAFobqkkgToFqpG0nKQlo3x44dIgPGixce9Vfzs/nSeS1a/xnU9f1Upz6qqIC+OADPs+2ry8faHnIEF7xmJbGW09GR/ObO+np+tuMLYeF1T3S0vh7iIXKRRsRprJq0wbo2JHXSNf/cHUTaYCfTE8/DVy5AmRmAqNHA6dPA5Mn8ztYVBNNLCVMefX44/x/kYiuY8eOmCpCX/WXX34ZAJ+NAairiTZ2U1Ropm2sxhoAfH19ERQUpPdwVpoaDRL6JRjcltAvAZoaI03rCHEDViXSjzzyCHbt2oU5c+agot6Va0VFBebOnYusrCyMGTPGJkES29MdbIwxcWNxddev82bcNTX8et3HB2jRgg+spbv82mvAQw8Ba9Y0fl0vtURaqGBMSeEVhcKUYLrLSmXdNGILFhjfr/5rgLopxVJT+XuJgcpFG9D9RzH14dZPpAGeQEdF8f18fHj/1p9/Bs6fd+AvQCTh1i3gyy/5Mg0y5jQKCwsRKIxY6UAhISEAoB0NvGPHjvDw8EBubq7B/YX1xvpQuxq5jxxJg5OQHJ0MhZ8CAK+JTo5ORtLgJBpojLg3ZoXCwkLWqVMn5uHhwUJDQ9mDDz7Inn/+efbggw+yVq1aMZlMxjp16sSKioqsObxkqFQqBoCpVCqxQ2mguJgxnkIzVlYmdjSurXlz/nc8ccL0fhMm8P3S0ho/5h9/8H1DQmwTo9gqKxlTKPjvU1racFn4XQ1tM/Wa+g+Fgr9XfY44F6lcNI/Jz0L4R2nsw33ySb5u/vy616al8XWPPMJ//ugj/vPYsfb/pYi0/Pvf/H/nzjsZq60VOxq7cubrlPoGDRrEHn/8cYe/7+rVqxkA9vLLL2vX9e/fnwFgFy5c0Nu3traWdezYkcnlclZmwcWVK3wOpZWlTF2lZudvnWflmnJWWlkqdkiE2IUl56NVNdItW7bE/v37MXHiRJSWlmLz5s1YuXIlNm/ejJKSEkyaNAn79+9HixYtbJXvExsLCOD9eQFq3t0UVVV1s/Q0NuOGry9/1hmo0yip1UgLMxTpThWmuwwY32bqNYbeR6wuyFQu2oDwj2Jsm/DhCgM/6Y7KV17On4UTTTghr1+3cZBE0mpr65p1T50qrUEqXNyMGTPw888/22XAxjNnzqCsrMzg+hkzZgAAnn76ae36l/7pN5+UlASm06zvP//5D/7++28888wzkplDWiD3kWPm9pl4+OuH8dnhz6gmmhBYOdgYwJu6rFixAv/5z39w5swZFBcXIygoCN27d4e3VK7+JUwm42PwCNemERFiR+SaCgr4s6cnb8Jtijsn0sIMRaamBzO2zVZTijkClYtNJPyjNPbhGmraLTSnFwYfoESaWCMzEzh3jv+vPfOM2NEQHbdu3cLo0aMxevRoPProo+jTpw/CwsIgM3CzY8KECRYd+5tvvsG///1vDB06FO3bt4dcLsdff/2FzZs3Q6PRICkpCUOHDtXuP3HiRKxbtw5ff/01zp8/j+joaJw9exY//PADOnTo0GBaLqkI8AnAiYITOH+LuswQAjQhkRZ4e3vjzjvvtEUsxMGE61WqkbaecI0eFlZXw2+MkEjrXvsbI7VEWpihKCVFf6pf3eX60wCbs1yfs0wVTOWilXT/UerT/XANJdLCsvDhUyJNrCFMefX88zRInZOJj4+HTCYDYwzr16/H+vXrAUAvkWaMQSaTWZxIx8TE4PTp0zh27Bh+++03lJWVISQkBA888ABeeeUVjB49Wm9/Dw8P/Pjjj1i8eDG++OILLF26FC1atMALL7yAhQsXIjQ0tOm/sBMKDwgHAOSr80WOhBDnYFUiferUKWzfvh3jx483WFgUFBTgm2++wahRo3Dbbbc1OUhiH7oDjhHr6CbSjRGu792xRlp3hiJT04PNnAnk5PAWE8b2s3ZKMXujctEG6k9lZezDNdS021iNdHExb/YtsWaWxA7OngW2bOHLRqZYIuJZuXKl3Y4dHR2N6Ohoi17j6+uLuXPnNpg2S8q0iXQpJdKEAFYm0osXL8aOHTuMTkPQsmVLvPfeezh27JhdCz7SNMJc0lQjbT1LEml3btoN8PwmMRF45x2gtJQvz5mjv6xS8Rs8b70FzJ5tfD9Dr9FoxJ0qmMpFG9H9RzH24ZrTtDs4mCfcVVX8RI2Kckj4xIV9+ikf2u6++wCJjLgsJRMnThQ7BLdHiTQh+qxKpH/77TeMGDECHkbasnp6emLEiBHIyclpUnDEvqhGuuny//kusSSRdsem3QKhpaRuf3LdZaEiV6hwNLafqdeIhcpFGxL+UYx9uIZqpOs37ZbJ+Oh0ly5RIk0aV1YGrFjBl2nKK0IMokSaEH1Wjdqdn5+Ptm3bmtynTZs2uHbtmlVBEcegRLrpqGk3EVC56EDmNO0GqJ80Md/atbx5VseOvEaaOK0NGzbgqaeeQs+ePdG5c2ft+jNnziAtLQ1Xr14VMTppExLp4spilGkajnJOiLuxqkZaLpejQBiu2IiCggL4idnOkjSKmnY3HTXtJgIqFx3I65+vLt3mHcKJpdsXmhJpYg7G6gYZe+UVPg0DcTq1tbUYP348vv/+ewCAv78/yoVp7wA0b94c77zzDmpqapAkjLVAbCrQJxD+Xv4ory7H9dLr6NC8g9ghESIqq2qk77nnHmzcuBFKIxnYrVu3sGHDBtxzzz1NiY3YGdVIN501ibQ5Tburq/kzJdKug8pFBzLVtFs40QBKpIl59uwB/vc/fhNm0iSxoyFGLF26FN999x1efvll3Lp1C2+99Zbe9rCwMAwZMgS//PKLSBFKn0wmo+bdhOiwKpF+9dVXUVRUhJiYmAb9/bKzsxETE4Nbt24ZHXSHOAeqkW464fo8PLzxfalpt7RRuehAhhJp4cSipt3EUkJt9DPP6A/AQJzKqlWr0KdPH3zyyScICgoyOH90586dcf48zXFsT5RIE1LHqqbdY8aMwZtvvomlS5ciJiYGvr6+CA8PR35+PiorK8EYw9tvv41HH33UxuESW6Ia6aajpt1EQOWiA5lKpA017c6nCz5iRF4e8M98xHj1VXFjISadPXsWrzbyGbVs2RJFRUUOisg9USJNSB2raqQB4P3338dPP/2E2NhYyOVyXLlyBQEBAbj//vvxyy+/YMmSJbaMk9gBJdJNo9EAwve1vRJpL6tudRGxULnoIIYSaWGZmnYTS/z3v7wvzaBBQK9eYkdDTPD394eqkQuWixcvQiE0tyN2ISTS10pp4ExCmnSZ/tBDD+Ghhx6yVSzEwahpd9PcuMGfPT2Bli0b31+49nfn6a/cAZWLDmCqRpoSaWKuqirgP//hy9TlwundfffdyMzMREVFhcFBG2/evImtW7di6NChIkTnPqhGmpA6VtdIE9dHNdJNI7QWDQ0FjEwdrIeadhNiI8LJJIzKBxgebEwYvIASaWLIhg28IA8PBx5/XOxoSCMSEhJw5coVjB07FleuXNHbdu7cOTz22GNQqVRISEgQKUL3QIk0IXVs0nBUo9Hgk08+wc6dOwEAQ4YMwdSpU2maFydHNdJNY0n/aIASaXdD5aIdCSeGuaN2q1R8nmn62xNdwiBjL79c18qBOK0xY8ZgxowZWLJkCdq3bw+5XA4AaNWqFYqKisAYw5w5czB8+HCRI5U2SqQJqWN2jfSaNWvQrl077NixQ299bW0t7r//fkybNg0///wzfv75Z8yYMQPR0dGoMqcNKxGNUCNdUgLU1oobiyuyNJGmpt3SQ+WiSAwl0sKybkKkUNT93Mgc38TNHD8O7N7NB6J46SWxoyFmSk1NRWZmJh566CE0a9YMnp6eqK2txX333YctW7Zg/vz5YocoeZRIE1LH7EQ6MzMTpaWlGDZsmN76L774Ajt37kTr1q2xYsUKfPvttxgwYAAOHz6Mzz77zNbxEhsKDgZCQoA77uDJNLGMJVNfAVQjLUVULopEODEaa9otkwGtWvFlat5NdG3cyL8Ax44FWrcWOxpigVGjRuHHH39Efn4+qqqqUFhYiF9++QWxsbFih+YWdBNpxpjI0RAiLrMT6aNHjyI6Ohqenp5667/88kvIZDJ89dVXiI+PxxNPPIFt27ahRYsWWC9MKUGcUk0NcOEC8NNPvMWjWi12RK6FmnYTKhdFYiiRNjRqN0BTYBF9ajUvhCdO5F+A778vdkTETGvWrMHvv/9ucp8//vgDa9ascVBE7ilMzstUTa0GtypuiRwNIeIyO5G+fv06unXrpreutrYW+/btQ2RkpN4oic2aNcODDz6IkydP2i5SYlMVFUBaGhAZCXTsyGtV09L4emIeaxNpatotHVQuisRUIl2/ryuN3E0EwhdfeDj/4ouM5NNf0RefS4iPj8fGjRtN7vPTTz9h0qRJjgnITfl6+aK5X3MA1LybELMTabVa3aAJx+nTp1FWVoZBgwY12L9NmzYoLi5ueoTE5tRqIDUVSEmpG2hMqeQ/p6ZSzbS5rO0jTTXS0kHlokjMbdoNUCJNOPricws1NTXwMGcaDdIk1E+aEM7s0iY0NBS5ubl66/bv3w8A6N27d4P9y8vL0bx58yaGR+zB2xvIyDC8LSODkjdzWVsjXV3d+OBulEi7BioXRWJN025KpN0bffG5hWPHjqFFixZihyF5lEgTwpmdSA8YMACbN2/GmTNnAACMMaxevRoymQwjR45ssP+JEyfQpk0bqwM7dOgQHnjgASgUCsjlcvTv3x/ffvut2a/fsmUL4uLi0L17dygUCjRr1gzdu3fHCy+8gL/++svo62pra7FixQoMHjxY+7quXbti0qRJKJHIiFxKpfEpr5RKmlfaXBoN0KOH+ePU6F7fN9a8mxJp10DlokjlYv1Euqam7u6UoabdISE0vZG7oy8+lzR8+HDtAwBWrVqlt054REdHo1OnTvjpp59o+isHoESaEM7seaTfeOMN/PDDDxgwYABiYmLw999/4/fff8fgwYPRs2dPvX1LS0uxe/duTJw40aqgsrKyEBsbCz8/P8TFxSEwMBDr16/HuHHjcPnyZUyfPr3RY2zevBn79+9Hv379cP/998Pb2xunT5/G6tWr8dVXX2Hz5s0NCtvKyko88cQT2LRpE3r27In4+Hj4+vri0qVL2Lx5MxYsWIDAwECrfidnolDwh6FrCoWiblosd6dW8+t1pZL/XYRpaEtK+DX58eN8/KKICL7vP1NaGqV7HV9ZaXpKW0qkXQOViyKVi/UTad3+EvVrpB95BHjxRaCwkN/B0mgaP1mJ9NAXn0vatWuXdlkmk+HChQu4cOFCg/08PDzQokULPPnkk/jggw8cFp+7okSakH8wC6xcuZIFBQUxmUzGZDIZ6927N7t48WKD/ZYtW8ZkMhnbsGGDJYdnjDGm0WhYp06dmK+vLzt27Jh2vVKpZF27dmU+Pj7swoULjR6nvLzc4Prt27czAKx3794Ntr3xxhsMAFu8eHGDbTU1Naympsb8X4QxplKpGACmUqksep29lZYylpzMGNDwkZzMt7u78nL+t1AoGOvenbGCAsbmzGGsb1++PHs23wbw5+Rk/hpTamvr/s7Xr5ve99ln+X7vvWe738md2fNcpHJRhHLx9Gl+ggQF8Z9v3qw7uaqq6vYrL+cnrqUnK5Ee+uIzyFmvUwyRyWRs/vz5YodhF670OTDG2JLdSxjmgT33w3Nih0KIzVlyPlqUSDPGWFlZGTt48CA7d+6c0X3Onz/Pjh8/ziorKy09PMvMzGQA2KRJkxpsW7VqFQPQ5IK0efPmTKFQ6K27cuUK8/LyYkOGDGnSsXU5c8GomyjS9aW++tdbGzfyxLn+sjXXYj4+fN9Ll0zvN24c3++DD2z3e7kze5+LVC6azyafxdmz/ARp1oz/nJ9fdyLW1vJ1lDiR+kpKrLsLKmHOfJ1S365du8y6YeiKXOlzYIyx1cdXs5C0EPbiTy+KHQohNmfJ+Wh2026Bv78/+vTpY3KfqKgoSw+rJTTjGT16dINtsbGxAIDs7Gyrj79v3z7cunULgwcP1lv//fffo7q6Gk8++SRKSkrw008/4dKlSwgLC0NsbGyT+jU6Iz8/IDERmDmTj8ETFsa7GJpqbuwudMekCQkBRo4E4uP1lw3JyADeecf0sX18eOtS6iMtLVQuOpixpt0+PoBMVrePqcGlGjtZifR88glw771AXh5QWsqbc2s09MXnIqKjow2uLy4uxoEDB+Dn54fBgwdDJpQBxG5iomJw4fULKCwrRFVNFTQ1Gsh9qMsMcT8WJ9L2JoyA26VLlwbbwsPDERAQ0GCUXFO2bduGvXv3orKyErm5udi0aRNCQkKwdOlSvf2OHDkCAFAqlejWrRuuXbum3ebj44PFixfjzTffNPlelZWVqNTpq+fs09zI5cDChcC6dbwb4bvvih2Rc9AdkyY8HCgo4D/36FG3bOx1KhUQGmr82L6+/PqtsSmwKJEmuqhcrMdYIq17wpgzuJSpk5VIz9df88Et1q8HHn+cr6NB6FzG559/ji+//BIbN27Uzn7wv//9D/fffz+u/zMq/4ABA7Bt2zY0a9ZMzFAlraK6AsuPLkfGwQwoK5RQ+CmQ0C8BSYOT4OdFN6WIe3G6yfZU/4ycGWxk4I+goCDtPubYtm0b5s+fj8WLF2P9+vVo27Yttm7d2mBqmoKCAgDA/Pnzcdddd+HkyZMoLi7WXmBOmzYNW7ZsMfleqampCA4O1j7atm1rdpxiOnGCJ4iEE8akAfhgYq1a8Z91l429rrHxaoRxkCiRJpagcrEer3/uAdfW8ofQxEP3hNE9keujwaXcT2EhT6IBwMAc78T5ffHFF6isrNSbQnD69OkoKCjApEmT8MADD2Dfvn349NNPRYxS2tRVaqT+loqUnBQoK5QAAGWFEinZKUjdnQp1Fc3HTtyL0yXStpaeng7GGEpKSnDgwAF069YNgwYNwtq1a/X2q/1n6pRWrVph/fr1uP322xEYGIgHH3wQy5cvBwC8//77Jt8rKSkJKpVK+7h8+bJ9fikbEgavVVPZp6XRAAkJfLmwENi+HZg6VX/ZkISEugTYGKHyo7Gm3UJFGyXSxB5cvlzUPTE0Gv2m3brrhRO5PnNOViItWVn8uUePurnFiUv566+/cNddd2l/LioqQlZWFiZPnozly5fj559/Rp8+ffDVV1+JGKW0eXt6I+Og4S4zGQcy4O1JFy3EvThd026hxsVY7UpxcbHe3UhzBQQEoG/fvti4cSN69+6Nl156CaNGjULoP037hPcdOXJkgyZBsbGx8PX1xeHDh02+h6+vL3zrT73i5AIC+HNpqbhx2FL9aasMzXZjah+5HEhK4qMSffQR70eek8O7Xi5aBGzaxPdbtqzu9QkJ/DWNdbWjGmliDSoX6zGWSOuuF05kgPeJ1j1ZZ83id6uqqkwXFPWZU7gQ57RjB38eMULcOIjVlEqltmwCgN9++w0A8LjQTB/A4MGDsWLFCofH5i6UFUptTbShbaoKFULl1GWGuA+nq5EW+gAa6u+Xn5+P0tJSg/0EzeXl5YWYmBio1Wq9C8Bu3boBABQGmgJ6eHggMDAQ5eXlVr+vs5JajXRFBZCWxischEdaGl9vyT5+fsCDDwJXrvBa6OBg4K23gN9+Azw9+UBt16/zJvHXr/OfzRmvhhJpYg0qF+sxJ5EG6kZVvH4dOH+en9BvvsnvkjVWCNRnTsFBnBcl0i6vZcuWeuM07NixA56enhik01SfMQYNtTaxG4WfAgo/hdFtwX7UZYa4F6dLpIVRGbdt29ZgW2Zmpt4+1srLywMAeOtcdA0fPhwAcOrUqQb737hxA4WFhU0adddZSSmRVquB1FQgJaVujCGlkv+cmsq3m7OPIC4OiIoCLl3iLUaDgvhzixZAYCBfDg3lz+ZWSgmJNI3aTSxB5WI99RNp4YQyNHCUXM7XT5/OT+ibN80vBASWFBzE+Vy6BJw9y++CNvE8IeLp2bMnfvzxR5w4cQJnz57F2rVrMWjQIMh1voAvXLiAiIgIEaOUNk2NBgn9DHeZSeiXAE0N3cQgbqapc22VlJSwI0eOsJycnKYeijHGmEajYR07dmS+vr7s2LFj2vVKpZJ17dqV+fj4sPPnz2vX5+XlsdOnTzOlUql3nEOHDhk8/tatW5m3tzdTKBSsVGce0erqanbbbbcxAGzbtm3a9bW1tWzy5MkMAJs9e7ZFv4srzAv46698Os0ePcSOpOkqK+umB63/UCj4dnP2YYyxK1f4Og8PxoqLbRfjoEH8uOvXm96vVy++39attntvd+boc5HKReNs9ll4evKT5MoVxn76qfGCbMoUxkJCGCsrM68Q0GVuwUGc04oV/LPq31/sSJyOK1ynCHbu3Mk8PDz0Hj/99JN2e01NDWvVqhWLi4sTMUrruNLnUK4pZ8lZyUyxWMEwD0yxWMGSs5JZucZ952Mn0mLJ+Wh1In3+/Hn2yCOPMC8vL+bh4cE8PT2123bv3s1uu+02lpWVZdWxd+7cyby9vVlgYCB78cUX2bRp01j79u0ZAJaenq6378SJExkAtnLlSr31AFiPHj3Y008/zRITE9mrr77KhgwZwgAwb29v9sMPPzR43/3797NmzZoxLy8v9tRTT7Fp06axvn37MgDsnnvu0bvANIcrFIx79/Lriw4dxI6k6a5fN3ydKzyKihrfp6CAH2vdOv7z3XfbNsbhw/lx1641vd8dd/D9duyw7fu7K0edi1QuNs5mn4WvLz9Jzp9n7Lvv+PK99xrff906nmhfuGBeIaDL3IKDOKdnn+Wf0zvviB2J03GF6xRdmzZtYmPHjmVjx45l3333nd62nJwc1qtXL/btt9+KFJ31XO1zKK0sZRWaCnb+1nlWWlnKlOXKxl9EiIuweyJ98eJFFhYWxry8vNjYsWPZoEGDmIeHh3a7RqNhoaGh7KWXXrLm8Iwxxg4cOMDuu+8+FhQUxPz9/Vnfvn3ZN99802A/YxeMixYtYqNGjWJt2rRhPj4+zM/Pj3Xt2pW99NJL7NSpU0bf98SJE2zs2LGsZcuWzNvbm3Xq1IklJSWxkpISi38HVygY//c/fn3RqpXYkTSdLWukX3uNr3vtNdvGeP/9/LirVpner2tXvl92tm3f31054lykctE8Nvss5HJ+kvz1F2NffsmXBwwwvv/Vq7xGurSUaqTdSW0tYxERdGfSCFe4TnEHrvo5jFozioWkhbCcC7ZpfUWIM7B7Ih0fH898fHzYnj17GGOMzZs3T++CkTHGHn/8cXbHHXdYc3jJcIWC8dw5fn3RrJnYkTRdaSljycmGr3WTk/l2Y/uEhDC2bBnfzhhjTz7J1xnIUZpkzBj+fv/5j+n9OnTg++3da9v3d1eOOBepXDSPzT6L4GB+kpw8ydjy5Xw5Otr0a9q1Y+yXXxovKOozp3AhzunUKf45+fkxVk5NT+tzhesUd+Cqn8MjXz/CMA8sY3+G2KEQYjOWnI9WTX+VmZmJxx57DAMHDjS6T/v27bFz505rDk8cSBijo6wMqK0FPJxu+Dnz1Z+2ytjUVDNm8N912TIgPBxITweGD6/7G1RVAe+9B4SE2H5AXhq1W7qoXHQwr3++vjQaQBg5vLFpttatA3r2BIYN4z/rTov12mvG57AzNZWWOfPeEfEIo3UPGkSfk4tbs2aN2ftOmDDBjpEQQa+wXvjpz59wPP+42KEQIgqrEumbN282OlIrYwyVjWULRHS6o02Xl7v+lKh+fsD99/NkubAQiIjg19m6109btgD33gv8M0gxFi/mg+9u2sRns7FmfmhzUSItXVQuOphuIi38TQ2N2i2oqAA2b+YFRHg4v1uWlweUlPCC7+hR0ye6nx/wzDN8Oq0bN3jhUl1NyZmzo2mvJCM+Ph4ymczkPowxyGQySqQdpFd4LwDA8evHRY2DELFYlUiHhYUZnM9U1x9//IF27dpZFRRxnGbN6pbVatdPpAFg4ULg4EFe8bRjR8Nr66++AjZsAE6e5BVUKSnAxo28omnhwrr9hNltAH7tbIu/jRALTX8lPVQuOphuIi00HTFWI61W87tkCxbwn5VK4OGHebOTefOADh2Axx4DioqAgADj75mZyQuF8HBeeNx+u61+G2IPNTXArl18mRJpl7dy5UqD61UqFY4ePYq1a9fikUcewcMPP+zgyNyXkEifKDgBTY0G3p500ULci1WJ9KhRo/DFF1/g999/R8+ePRts/+2337Bz50688cYbTY2P2JmHB+Dvz2ujpTIVqlrNa6OPHGm4rbISuHoV6NYN6NSJJ88hIcDIkUB8vOHjZWQA77xjm9ioRlq6qFx0ME9P/qybSBurHfb25idyfYWFwOzZwJUrPJk+eJD38zBGKFwKC4Hi4qbFT+zv6FF+0yQ4mDdDIi5t4sSJJre//PLLGD58OKZMmeKgiEiUIgpBvkEorizGmcIzuDPsTrFDIsShrOoRO3v2bPj7+2Po0KF49913cfbsWQDAli1bMGfOHNx3330ICQnB22+/bdNgiX0INa1SSaRLS/lz/d9Hreb9p7/5hl9fqVT8Gis8HCgo4MuGKJV8X1ugRFq6qFx0MOHkqK5uvGm3Umn8BA8P568/cgTo0oU3FzFWGOquFwoa4ryEZt3DhtXdeCGSNWDAADzyyCNITk4WOxS3IZPJ0Cu8F0KaheCC8oLY4RDicFbVSEdFRSEzMxNxcXGYM2cOZDIZGGN46KGHwBhDu3bt8P333yMiIsLW8RI7CAjgFSxSS6Srq/k1sY8Pr7BKS6sbJ6hTJ+CPP3g/6Px8oFUrvmzoWluh4BUatkBNu6WLykUHs6Rpt0Jh+ATv3h3IyQE+/NC8QcQokXYt1D/a7bRv3x6//PKL2GG4laWxS9GtZTeUVJWgpLIEvl6+UFYoofBTQFOjgdxHAn0GCTHCqkQaAPr164fc3Fz8/PPPOHDgAG7evImgoCD069cPY8aMgY+pQV+IUxFqpKVyXaj7e5SW8mvrtLS6/s4AcO4csG0bH6h3wQJg+3Zg6lT9PtKChAR+rW6Lf2lzaqQZ4137AEqkXQ2Viw4knBzmNO3WaPiJrFsIAHykwY8+qus7DZgeHIESaddRUQHs3s2XKZF2C4wx5OTkwN/fX+xQ3EZFdQU2ntmIzHOZ2DR+E9L2pmHZwWXaRDqhXwKSBifBz4sGZSTSZHUiDQBeXl547LHH8Nhjj9kqHiICqTbtBnjf74AAw90jZ87klVEyGbBoER+1GxB/1G6hNhqgRNoVUbnoILo10kITD2M10oamr+rUCRg92rLBEerfpSPOa/9+nkxHRAC33SZ2NMQGcnJyDK6vrq7G1atXsWbNGhw6dIhG7HYQdZUaaXvSsCBnATaO24iMgxlYmFNXG6GsUCIlm9+UTByYSDXTRJKsSqSHDx+O+Ph4k4XVl19+iRUrVtCcqS5ASok0Y/q/R1WV8e6RZ84AQ4cCe/fy6+XSUl4BNWcO7xMdHNxw6qymMqdpNyXSronKRQezpEZa2JaYyE92lYrfKbt1q/HBEUJD69bpFi5SKDClTGjWPXw4v1tKXN6wYcNMTn/FGMOgQYPw73//24FRuS9vT29kHMxASLMQjOw4EvE/xhvcL+NABt4ZYqMRWwlxMlYl0rt27cKwYcNM7nPx4kVkZ2dbc3jiYFJKpKuqeN9oQXEx0KaN8f7P+fn89/fxAVq0qFsvXDvbuiUu1UhLF5WLDiacHFVVdSdUY3e9hMJOOMGN9Z0WttUfHIGadrsO6h8tOcnJyQYTaQ8PDzRv3hx9+vRBv379bPqeS5YswcyZMwEA+/btQ//+/fW2FxcXY968eVi/fj3y8/MRERGBJ598EnPnzkWAqan0JEBZoYSyQokerXqgQF0AZYXS6H6qChVC5aEGtxPiyprUtNsUtVoNb8oCXIKUEun617YqlfHukYBt+z+bgxJp90blog0JozBXVdU18bC0+YilhQMl0q6huJhPZQaYns6MuJR58+Y59P1OnDiBuXPnQi6XQ23gAkmtViM6OhrHjx/H6NGjMX78eBw7dgzp6enIzs5GTk4O/GzZpM3JKPwUUPgpkF+aj1byVlD4KQwm0wo/BYL9bDRiKyFOxuxE+tKlS3o/K5XKBusAoKamBpcvX8b69esRFRXV5ACJ/Qk3TaWYSKvVhrtH2qP/szmERNqcpt0eHvxBnBeViyKypka6PksLB0qkXUNODh+xsVMnoH17saMhLkij0WDixIno1asXunTpgi+//LLBPmlpaTh+/DhmzJiBxYsXa9fPnDkTS5YswdKlS5EklC8SpKnRIKFfAlKyU7D97+2Y2neqXh9pQUK/BGhqNPDxpME2ifSYnUhHRUVpm9TIZDJ8+OGH+PDDD43uzxjDe++91/QIid1JadRuQ3NHA/x6ePx43kXy5k0gLMz2/Z/NIVRumaqRFpqmU8Wl86NyUUS2SKSF1yQmArNmAdeu8WbfjBk+FiXSroGadZMmevfdd3Hy5EkcPXoUaWlpDbYzxrB8+XIEBARgzpw5etvmzJmDjz/+GMuXL5d0Ii33kSNpMP/9Fu1ehE3j+YitNGo3cSdmJ9ITJkzQzou6Zs0a3HXXXejVq1eD/Tw9PdGiRQsMHz4c9913ny1jJXYi5abdur/Tjz8C6enAyy/zaa7EmInIkqbdlEg7PyoXRaSbSFvbtFsgl/M7WGPGAHl5wO+/1zXV0UWDjbkGSqQlwcPDw+TgYsbIZDJU6w6WYqGjR4/i3XffRUpKCm6//XaD++Tm5iIvLw+xsbGQy/VHo5bL5Rg0aBAyMzNx+fJltG3b1upYnJ2flx8SBybinSHvoLSyFIkDEzFn6Bzkl+ajpX9LlFSWUBJNJM3sRHrVqlXa5ezsbEyaNAkJCQn2iIk4mJQTad2fS0qAwkLeb1osljTtpkTa+VG5KCJDibSx6a/M4eXFC4jCQp5MR0Q03IdqpJ1fQQHwxx98OSZG3FhIkwwdOtSqRLopKisrMWHCBPTq1QuJiYlG98vNzQUAdOnSxeD2Ll26IDMzE7m5uQYT6crKSlTq3FEvLi5uYuTiEaa1atGsbsTWlOwU/Pjnj1gycgmev/t5sUIjxO6sGmwsOzsbCoXC5D4lJSW4desW2rVrZ81bEAeSciKt+zuVlPDnwEDHxVOfOU27KZF2TVQuOpjuXHK2SKQBoHVrnkTn5QH33qu/rf7cepRIOydharm77tKfuoy4nF27djn8PZOTk5Gbm4sjR47AUxjQ0ADVP3fkg+uP7P+PoKAgvf3qS01Nxfz585sYrfMK9g1GYVkhjucfFzsUQuzKqqGMOnToYLIfIABkZGSgQ4cOVgVFHIsSacehpt3SReWigxmqkW5qf43WrflzXl7DbRUVQG1t3c+USDsnatZNrLRv3z6kp6dj9uzZ6NGjh13fKykpCSqVSvu4fPmyXd/P0XqF9wIASqSJ5FlVI80YA2Os0X2Ia5DSqN3GBhsDKJEm9kXlooPZumk3YDqRNlW4EOdBibRkqVQqXLx4EZ07d0azZs0abFer1Th37hyioqK0NcLmqq6uxsSJE9GzZ0/tvNGmCDXRxmqchabaxmqsfX194dvU8sqJ6SbStawWHjKagoRIk93+s69cuYJAMTMWYjaqkXYc3daoxlAiLV1ULtqQcDJpNHUnja0S6atXG26rX0BSjbTzOX+eP7y8gKFDxY6G2FhKSgoGDRqEmpoag9tramowaNAgvPvuuxYfu7S0FLm5uTh+/Dh8fHwgk8m0j9WrVwMABgwYAJlMho0bN2r7Rgt9petrrA+11HUP6Q4fTx+UVJXggvKC2OEQYjdm10inpKTo/Wys74owX+o333yD/v37Nyk44hhSmv7K2RNpqpGWFioXRSR2jbQUCkypEfpH9+tneNR14tK2bt2KUaNGGb0ZGRQUhNjYWGzevBlLliyx6Ni+vr544YUXDG7LyclBbm4uHnnkEYSGhiIqKgpdunRB69atsWfPHqjVar2Ru9VqNfbs2YMOHTpIesRuU7w9vdGjVQ8cvXYUx/OPo2PzjmKHRIhdmJ1Iz5s3T7ssk8mwa9cukwNBtG7d2uKCjIhDijXSfn68S6OhRNrCFl82RYm0tFC5KCLdGmlhqpum9pFu04Y/m0qkhcKlrAyoqQFMDEhEHIyadUvapUuX8NBDD5ncp1OnTvj1118tPra/vz+WL19ucFt8fDxyc3ORlJSkdyN08uTJSElJwYIFC7B48WLt+gULFqC0tBSzZs2yOA4p6RXWS5tIP37b42KHQ4hdmJ1IZ2VlAeB9/IYPH474+HhMnDixwX7CfKndu3eHhwf1iXAFUkykw8KAixedr0bakqbdXlaNYEAcicpFEQl3mjQax9ZIC4ULwJNpaqrvHBirq5EePlzcWIhdyGQyvSmjDKmsrDTa9NvWEhMT8eOPP2LJkiU4duwY7rnnHhw9ehTbtm1Dnz598MYbbzgkDmd1d8TdCPkrBLfKb4kdCiF2Y/alenR0tHZ57ty5iImJwVDqgyQJUkqk61/r1p9HGnCOpt1VVfy6z9AUmVQj7TqoXBSRvaa/AoAbN/gxdWu4hcIlJAS4fJmP4K1WUyLtLE6eBK5fB/z9Aeo+IUndu3fH1q1bwRgzOL90bW0ttmzZgm7dujkkHrlcjuzsbMybNw/r169HVlYWIiIiMH36dMydOxf+/v4OicNZPdb9MUzqNQk3ym6gqqYKmhqNds5pQqTCqqqRuXPn0sWihAhdycrK9Gd3cUW6NdKA/s2BfwbRdIpEGjBeK02JtGuictHBdBNpoQaqqU27W7asO/Hy8/W3CYWJXF5XaFI/aechNOseMqTpN1SIUxo/fjz++usvPP/88w1Gy1apVHj++edx9uxZPPvsszZ931WrVoExZnB8i+DgYCxduhSXLl1CVVUVLl68iPT0dLcfVLKiugL/PfJfRC6NRIcPOyAsPQxpe9NQUV0hdmiE2JTVbQyrq6uxdOlS9O3bF0FBQfDSaYd6/PhxvPLKK/jrr79sEiSxL50xMlBeLl4ctmAska6srEtQKZEm9kLlogMJSXNZWd26piZQMpnxkbspkXZu1D9a8qZOnYqBAwdi9erV6NChA2JjY/H8888jNjYWHTp0wJo1azBkyBBMnTpV7FDdmrpKjdTfUpGSkwJlhRIAoKxQIiU7Bam7U6GukkDzR0L+YVUiXV5ejpiYGLz11lu4ePEigoKC9OZH7dChA1auXIk1a9bYLFBiP7qtj1z9utBYIi006wbEHcxVt8LMWFcvSqRdE5WLDiacTLrNTmxRE2msn7RuIi2lqQ6koLoayM7my5RIS5a3tze2b9+OadOmoaamBr/++itWrVqFX3/9FbW1tXj77beRmZkJb/ryFJW3pzcyDmYY3JZxIAPenvT5EOmwKpFetGgR9uzZg9TUVOTn52Py5Ml624ODgxEdHY3MzEybBEnsy8MDaNaML7t6P2kh/lat9H8WEml/f3EH8fLwqHt/SqSlhcpFBzNUI22Lk8bYyN1C0kw10s7n8GHed6d5c6BXL7GjIXbk5+eH9PR03Lx5E3/88Qd2796NEydOoKioCEuWLIEvNesXnbJCqa2JNrRNVaEyuI0QV2RVSrFu3TrExMQgMTERAAwO+tCxY0ccO3asadERh5HL+fWoqyfSjdVIO0O3JV9fXoFCTbulhcpFB6ufSHt58TtVTdVYjXRAQF0i7eoFplQIzbpjYmg6Mjfh6emJO+64Q+wwiAEKPwUUfgqDybTCT4Fgv2DHB0WInVh11XHp0iX07t3b5D6BgYENBoMgzksqI3fXT6SFhNWZEmnh+p9qpKWFykUHq59IN3WgMYE5TbupRtq5UP9oQpyGpkaDhH4JBrcl9EuApkbj4IgIsR+raqQDAwNRUFBgcp9z584hNDTUqqCI40mlgqV+Ig3w38mZEmmh5Rkl0tJC5aKDCSeIUGjZ6oQxZ7Ax6iPtPMrLgb17+TIl0oSITu4jR9LgJAC8T7SyQgmFnwKv9X0NSYOT4OflJ3KEhNiOVTXS/fv3x88//wylUmlw++XLl7F582aaCsaFSKFGmrG6+Js317/OpkSa2BuViw4mnCBCjbStE2mqkXYNe/fywrRNG6BrV7GjIYQA8PPyQ+LARFx/6zrypuXhyptXMLjdYEqiieRYlUi//fbbuHXrFkaMGIE9e/aguroaAFBWVoYdO3YgNjYW1dXVmDZtmk2DJfYjhUS6vJwn0wC/ztWtNBIS6aAgcWLTpTv9rSGUSLsmKhcdTDhBhDn7bNW029hgY5RIOyfdZt0GxiUghIhD7iOHj6cP5D5ydMrohNgvY3FReVHssAixKasS6aFDh2LZsmX4448/MHToUCxatAgAb9o4evRonD17Fp988gnuvfdeqwM7dOgQHnjgASgUCsjlcvTv3x/ffvut2a/fsmUL4uLi0L17dygUCjRr1gzdu3fHCy+8YPY8rlOmTIFMJoNMJkN+fr61v4pLkEJLRd3YmzXTvzngSjXS/+RflEi7GCoXHUw4QYS7Z7Yajl+okVap9O8sGkqkXfnOo1QIifTw4eLGQQgxKMg3CF1adgEAZF/MFjkaQmzL6iuPKVOmYNiwYfjss89w4MAB3Lx5E0FBQejXrx9eeeWVJo2mmJWVhdjYWPj5+SEuLg6BgYFYv349xo0bh8uXL2P69OmNHmPz5s3Yv38/+vXrh/vvvx/e3t44ffo0Vq9eja+++gqbN2/GcBNfvL/++is+++wzyOVyqN3gYkkKNdK6s9N4eLhuIk010q6LykUHqn+C2Gram8BAXnio1cC1a0Dnznw91Ug7H6WST30FUP9oCXr88ccRFxeHp556CgCQk5ODqKgotGvXTuTIiKWe6fEM3hrwFkZ1GoUCdQEUfgpoajSQ+8jFDo2QpmFORqPRsE6dOjFfX1927Ngx7XqlUsm6du3KfHx82IULFxo9Tnl5ucH127dvZwBY7969jb5WqVSyyMhI9sQTT7Do6GgGgF27ds3i30WlUjEATKVSWfxaR3vhBcYAxhYuFDsS6/3vf/x3aNWK/3z33fznzZsZS0zky9OmiRsjY4wNGMBj2bDB8Pa33uLb33rLoWFJmiudi4ZQuWhAVhY/UYTHHXc07Xi6unThx8zOrlt311183datjC1dypfHj7fdexLLbdzIP4euXcWOxGU5c9kok8nY/PnztT97eHjo/Swlzvw52EJpZSmbvXM2UyxWMMwDUyxWsOSsZFauMfydRIiYLDkfbTDppm3t3LkT586dw9NPP41evXpp1wcHB2PWrFmoqqrC6tWrGz2On5/hAQ1GjBiB5s2b4+zZs0Zf+/rrr6O8vBwff/yxxfG7KinVSAuVRbq/U3ExX6YaaeKKqFw0oP4JYssTxtDI3bpNXqhG2jnQtFeSplAoUCx8eQNgQjcO4lLUVWqk7UnDwpyF2rmllRVKpGSnIHV3KtRVLnzhSdyeVU27c3JyzN7X0hFqd+3aBQAYPXp0g22xsbEAgOxs6/tY7Nu3D7du3cLgwYMNbv/555+xevVqrF27Fq1atbL6fVyNFLr8CbEbSqSpaTexNyoXHcxeTbsBwyN36xYwUigwpYASaUm7/fbb8fXXX6NPnz6IiIgAAFy4cMGsspZmR3Ae3p7eyDiYYXBbxoEMvDPkHQdHRIjtWJVIDxs2DDIzR8esqamx6Ni5ubkAgC5dujTYFh4ejoCAAO0+5ti2bRv27t2LyspK5ObmYtOmTQgJCcHSpUsb7FtUVIQXX3wRjz76KMaPH29R3ABQWVmJSp3sSPdOqrOTeo20MybSNGq3tFC5aJjdysX6J4itRu0GDI/cTX2kncu1a8CpU3yk7pgYsaMhdpCcnIxHH30UTz/9tHbd6tWrzWp9Y2kZS+xHWaHU1kQb2qaqUCFUHurYoAixEasS6eTkZIMXjCqVCkePHkVOTg4efPBB9O7d2+Jjq1QqALzJoiFBQUHafcyxbds2vP/++9qfO3fujG+++cbgyLmvvPIKqqqq8Omnn1oYNZeamor58+db9VqxSWnUbmdPpIXrfaqRlhYqFw2zW7loz0S6fo207iT1lEg7h507+fPddwMtWogbC7GL0aNH4/Tp09i+fTuuXr2KefPmITo6GtHR0WKHRiyg8FNA4acwmEwr/BQI9jP8vUaIK7AqkZ43b57J7d9//z3i4+OdIqlMT09Heno6SktLcerUKaSkpGDQoEFYsWKF3l3OdevW4dtvv8WaNWsQHh5u1XslJSXpzRFbXFyMtm3bNvl3cARnrZFWq/n1ckkJv0729eUDtSoUPOGU6wz4qNuFEdC/1nWmRJqadksTlYuG2a1cdGTT7spKoLaWL8vlDe88CgWVscKJ2B4163YL7du3xwsvvACAl7HDhg1DcnKyyFERS2hqNEjol4CU7JQG2xL6JUBTo4GPpw1vhBLiQHYZbOyJJ55ATEwMkpKSLH6tUONirHaluLjYaK2MKQEBAejbty82btyI7t2746WXXsKNGzcAADdv3sSrr76KBx98EM8995zFxxb4+voiKChI7+EqxE6k1Wre1LmggD+XlQEVFUBaGjBkCL+GTUsDwsLqHmlpfB+Bq9RIU9Nu90Tloo3LRUck0sJgY7oFo26NdOvWdQWVqcLJkPqFnrPdxXRmjFEi7YbOnz+P119/XewwiIXkPnIkDU5CcnQyFH4KALwmOjk6GUmDk2gKLOLS7DZq92233YZ9+/ZZ/DqhD6Ch/n75+fkoLS012E/QXF5eXoiJiYFarcbhf+afvHTpEoqKivDLL79AJpPpPYQBfCIiIiCTyXD8+HGr39uZiZlIG7oOPXcOSE0FUlKAWbOAjAxg4UJe4QPw55QUvo8QszmDjTnDvQ1q2u2+qFy0IUfVSOs26/bxAby86gqZWbPqCipThVN91ibfhPv7b+DSJf4/YGSAPCI97du3194wrK6uxsmTJ7Fv3z6cPHkS1dXVIkdHTPHz8kPiwETkT8/H+dfP48qbV/D2wLfh52V4JglCXIVVTbvNcezYMXh4WJ6nR0dHIzU1Fdu2bUNcXJzetszMTO0+TZH3T3M9738uxFq2bKltOlTfL7/8gvz8fDz99NPw9/dHy5Ytm/TezkqsQWjVan79mKLT4sfLC+jYkSfPISHAyJFAfLzh12dkAO/8M+Cjq9VIUyLtfqhctCFHJNLl5YBKpd8/GuCFTEgIMHw4MGGC4WPoFk66DBV6QvINAImJ1Cy8MUJt9IAB9LdyMzdv3sSMGTOwdu1aVOjcePL398fTTz+N1NRUyV6nuTq5jxzVtdV4Zv0z+OvmX/h5/M/oH9lf7LAIaRKrEulLly4ZXF9dXY2rV69i1apV2LlzJx599FGLjz1ixAh07NgRa9euRUJCgnbOVJVKhUWLFsHHxwcTdC5crl27BpVKhYiICL2mjYcPHzY4qE9mZiY2bNgAhUKBAQMGAADatm2L5cuXG4xn2LBhyM/Px/vvv291H0FXIFaNtLc3v97UFR7OWzsqlUCPHnXLhiiV/Do3NNR4Il1aWrfNmRLpxpp2e9ntNhexByoXHax+Im1kjmyr+PsDzZsDt27xWumyMr5eKFTkcv2CyhDdwql+3PULPYGx5Jvoo2bdbunmzZvo378/zp49ixYtWmDIkCGIiIhAfn4+Dh8+jOXLlyM7Oxv79u1DCxqAzil5eXihTVAb7L2yFzkXcyiRJi7Pqkv1qKgok9O8MMbQqVMng1OpNBqQlxeWL1+O2NhYDB06FHFxcQgMDMT69etx8eJFpKenIyoqSrt/UlISVq9ejZUrVyJep9qyT58+6NGjB3r27InIyEio1Wr8/vvv+O233+Dt7Y0VK1ZATneytcRKpJXKhteh+flAq1Z8zB7dZUPXqwoFIOQJ9QcbE55v3OCtMwHnSKSpabc0UbnoYPaskQZ4rbSQSAt3tYS7dD4+QFGR+YWTLkOFnu42Q8k3qVNbWzdi9/Dh4sZCHGrBggU4e/Ys3n77bSQnJ+uVVWVlZViwYAGWLFmCd999V29WAuJcxt0xDs/c+QxGdRqFAnUBFH4KaGo01FeauCSrEukJEyYYvGD08PBA8+bN0adPH4wZMwZ+VtYQxMTEYPfu3Zg7dy7WrVsHjUaDO++8E0uWLMG4cePMOsaiRYuQlZWF7Oxs3LhxAx4eHmjXrh1eeuklvPHGG7jtttusik2qxJr+SqFoeB1aWAhs3w5Mncr7Resu15eQwBNPHx/jfaTz8/mzhwevaBIbNe2WJioXHcwRifTJkzyRFpqK6t5kqKjghVNCgn4zbYFu4aTLUKGnu82KQePcyh9/8C8JuRzo21fsaIgD/fjjjxg2bBiWLFnSYFuzZs2QmpqKAwcOYMOGDZRIO7H7u9yP1N2piP8xHsoKJRR+CiT0S0DS4CTqM01cjlWJ9KpVq2wcRkN9+/bFli1bzIrFUDxJSUlWjY5b365du5p8DFcgXB+Wl/Mb/lZ047SKRmP4OnTmTGD/fh7HokXApk18/bJldTPMJCQASUl1LTqNNe2+do0/BwYCJioMHYYSaWmictHB7Nm0G9AfuVs4tm4iHRDAC6p/BmdDRkZd4TR1Kt9m6M5daal5dwaJYUKz7qFD6e/kZvLy8jB+/HiT+wwYMAB79+51UETEUuoqNdL2pGFhTl35p6xQaqfGShyYSDXTxKU4KF0izk73+lDoDuio901KApKT+fUnwJ+feopfIw0ezFvxeXjwMXjy84ELF4ArV/jPutfOpgYbA5yjWTdQd+1H018R0gSenvo/2yuRzstrONgYwAuaM2eAU6eAxx/nhdLly/z5nnv4XT9D0tN5wjxnjn6hl5zMC0NXaVovFuof7baCg4Nx8eJFk/tcvHjRqqkAiWN4e3oj46DhMSIyDmTA25MufIhradJwRmq1Ghs3bsTx48dRXFyMoKAg9OrVC48++qjr9LMjAHjFiUxWN9OLkIw6gp8f8MwzPDG+cYN3DywuBjZuBJ5+GnjkEeDHH/m+ly4BDz3Euydevqx/HGOJtMBZEmmqkZY2KhcdRCbjfZeFaW9s3bS7TRv+nJcHdOvGl+sn0gAfcGzlSiA7G1i8GGjfnifWvr7AuHFAu3Z1rzl+nO+zYQNPCGfO5K8PDwdqamx/M0BqNBogJ4cvUyLtdqKjo/Hdd98hPj4eI0eObLB9x44d+O6776wa0JE4hrJCCWWF0ug2VYUKoXIaI4K4DqsT6fXr1+Oll16CUqkEE0ZyAiCTyaBQKPD555/j8ccft0mQxP48PIBmzXgSLcZc0jt38gqa8HBe6zxtGnDoEN+m2w2uTRsgN5cnoRcv8mmyBPUHG6t/M4ASaWJvVC46mKdnXSJt6wEQGquR1h1YIjeX99sNCeEJ3rBhwK5dvFBbvZrvxxjw1lv8uVcvfvwFC4BvvwUefpj3YSGmHTzI/94hIUDPnmJHQxxs7ty5+OWXXxAbG4sHHngA0dHRCAsLw/Xr17Fr1y5s2bIFzZo1Q3JystihEiMUfgoo/BQGk2mFnwLBftSagLgWqxLpvXv3Ii4uDp6enpg8eTJiYmK0UxBkZWVh9erViIuLQ3Z2tnYqFeL85HLxEumqKn4dWlTErzP37OHLISHA6NF1+3l6Ap068daUubn6ibSxwcYEzpJIU9NuaaJyUQReXnV3pMRo2g3wxO7vv/lyly68pjwtjd8B/OIL4O23+Tx+O3bwh49PXdIcEQGcOAFERto2dqkSRuuOiXHcQB7Eadxxxx3IzMxEfHw8fvnlF/zyyy+QyWTam5adOnXCqlWrcMcdd4gcKTFGU6NBQr8EbZ9oXQn9EqCp0cDHk8Y+IK7DqkR60aJF8PX1xZ49e3DXXXfpbRs3bhxeeeUVDBw4EIsWLcLPP/9sk0CJ/Yk1cjdQl1TGxfHWkCNH8haPrVrVTV0l6Nq1LpGOja1bT027iZioXBSB7mTr9hi1G+CJdEkJXzaUSJ87xwsfmYzf5QOAPn2AN98EoqP53b6CAmDAAN6kOzcX6NCB79e5M38+e9a2sUsV9Y92e4MHD0Zubi727NmDY8eOabvP3H333Rg0aJDJKQiJ+OQ+ciQN5gNeZhzIoFG7icuzKpHet28fxo0b1+BiUdCzZ0889dRT+FHo2EpcQmQkv040VlNqT1VVQPfuwCefAO+/D8THGx+du0sX/vzXX3Wvr6nhI44DxhPpoCA7/gIWaCyRFlqqUiLtWqhcFIFuIm3rGunwcP5cXc37kQCGE+ljx/hzZKR+Mr9wIZCaql+YTZ0KzJpVt49QmF24wO+g0UlvXFkZHzxDaD5P3JZMJsPgwYMxePBgsUMhVvDz8kPiwETMGjwL10qvIbRZKKprqymJJi7JqrZRZWVlCAsLM7lPWFgYyhw5/DNpErUa2LoV+OknoF8/xzfvrqriY/D8+9/8+lOYYlWp5FNjpabWxSRce+bm1r1eN17h+tbHR/8629lqpKlpt7RQuSgCe9ZIe3vzJjFAXWGjO/CCsHz0KH8WapcBXiAtWdKwMFu4kBd0QoEVEcH7dldX85EUiWFqNW/KvX49v+kQESF2RISQJpD7yOHr5YuELQmI+jAKO87vEDskQqxiVSIdFRWFX3/91eQ+O3bsQFRUlDWHJw5WUcG79LVpw1shRkTwnysqHBeDtzdvzv3RR4a3Z2TUJZZdu/Jn3RppoVm3h4f+9bRuBZKzJNJCH2lq2i0tVC6KQDeRtsecwsLI3ULTa0ODjRUU8GfhDh/AT94Mw1O86BVmHh51zcF17wySOsIXVEQE/4KKjHT8FxQhxC46Nu+IwrJC7L60W+xQCLGKVYn0U089hSNHjmDixInIy8vT23bt2jXEx8fjyJEjGDdunE2CJPajVvPa3pQU07XA9ubry69HhRjqUyoBlYov67aGFGp1dQca0+0i5YyJNPWRliYqF0VgzxppoK6ftJC0GWraLejevW5ZqTSvMAOon7QpzvIFRQixi7G3jcXGcRuxIGYBCtQFqKqpgrqKzmviOqxKpGfMmIE+ffrgiy++QMeOHdGjRw+MGDECPXr0QIcOHbBmzRr06dMHM2bMsHW8xMbMrTixt5s3eStKhcLwdoUCCP5nVoSICH49W1sLnD/P19UfaEzgzIk0Ne2WFioXRaB7ktgzkRaYm0grFOYVZkDdnUFKpBtyli8oQohd9G7dG4evHUbk0kiEpYchLD0MaXvTUFFNLU6Ia7AqkW7WrBlycnIwb948REZG4tSpU8jKysKpU6cQGRmJ+fPnIzs7G/62nteT2JwlFSf2dPMmsH078NprhrcnJNQlmDJZwwHHXCmRpqbd0kTlogjs3bTbkkRat2m3RsMLLUN0CzOAaqSNqa4Gbtxwji8oQojNqavUWLx7MRbmLNTOK62sUCIlOwWpu1OpZpq4BKtG7QYAX19fJCcnIzk5GSUlJdopCAKdJVshZhEqTgxdq3TqZLxSxdaqqoCZM4EDB3iinJFhfNRugPeTPn68rluhKyXSppp219byB0CJtCuictHBHNW0W2AskfbyAnT7vsvlvNACGi/MhESa+kjXOXKEz7/988/Gv6Dq1+wTQlyKt6c3Mg4abnGScSAD7wx5x8EREWI5q2qk6wsMDESbNm3oYtEFGao46d4d2LgR+OMPPttISQlPdAsK+LM9uqVVVQFnzvBpVhMTgevX+ftdv85/rj+zTf0aaSGm+lNeuVoirVtRRYm0a6Ny0QHEbNqtu9yunX5SD/BCy5LC7Pz5urnv3Ilarf8Fc+wYMGECkJUF7Nplfs0+kTxPT08888wzYodBbERZodTWRBvapqqgFifE+VldIy1Qq9VQKpWoqakxuL1du3ZNfQtiR/UrTsLDgZwcPnr2okXApk18gNRly0xXqjSV0F+4tLTu+jQ0lD8barHZtSufTlS47tRogB49Gl736lYaOUs+I/w+VVUAY/qDo1EiLQ1ULjqIvRNpYdRuQf0a6ZAQXmjefrvh15tTmLVpw2OvrAQuXwY6dGh63K5CGJFbt9Z+6lSeQC9ZwudiFOaMbqxmn0heUFAQ2rZtK3YYxEYUfgoo/BQGk2mFnwLBftTihDg/qxPp//u//8P777+PP//80+g+MpkM1e54h93FCBUn77zDKwc++ABYsIDXSmdk8KlPBcKAqQB/Tf0aYGsJibS53RxHjuSjdiuVvMb88ceBAQP4gGVqdV1czlwjzRi/EaCbC1Ai7dqoXHQwR/eR1r0z16ULL4QKCngyrVvwWEKYAuvUKd5P2l0SabWaJ9HCFwpQN9e2hwcwf37d31P4glKpeHNujYaSaDfUt29f/O9//xM7DGIjmhoNEvolICU7pcG2hH4J0NRo4ONph3KdEBuyKpH+9NNP8eqrr8LLywtDhw5FZGQkvOo3ayMuRff6LyODV7SMHAnExxvePyODX9fYiiWJdEUF8J//AFu3Nl5j7syJNMAroYwl0nRKuRYqF0Vg7xrp0FDA0xMQWhYIBUpFBfDpp7arJe3cmSfSubnAqFG2it65NTYit+4XjDk1+0Ty5s2bh2HDhmHNmjWYMGGC2OGQJpL7yJE0mDeJzDiQAWWFEgo/BRL6JSBpcBL8vOhmGXF+Vl3lffDBBwgJCcHu3bvRtWtXW8dERCSM4t2jh3nzOgvXNU0l9Bdu7PpItxLD0hrzoCDbxNpUur9j/SmwhETay0u/yTdxflQuisDeibSHB59v78oV/rNcbrwmtSlNddxxCixzpoyw1RcMkYRff/0Vw4YNw6RJk/DRRx+hT58+CAsLg6zel6VMJsOcOXNEipJYws/LD4kDE/HOkHeQV5KH0GahKNOUURJNXIZVifTFixcxefJkuliUIGEU7/z8unmdHTFgqrk10kIlhrk15qGhdd0YnaVG2suLX5/X1jYccIymvnJdVC6KQPdEsVctZevWvAa6bVt+8tbWml+Tai53nALL1JQRNCI3MWDevHna5SNHjuDIkSMG96NE2rXIffiNxwXZC/DTXz9hbvRcTO07VeSoCDGPVYl0RESE0UF0iGsTRvFOSeHzOk+dql/jKxAGTLXVtau5ibQlNealpbzv9NSpfN/aWuu7Mdqary9QXk6JtJRQuSgC4UTx9OQPe/jgA6BnT16IaDT2qUl1xymwdL9s6rP1FwyRhKysLLsdu6KiArNmzcLhw4dx9uxZ3Lx5EwqFAp06dcLkyZPx7LPPwrveF3NxcTHmzZuH9evXIz8/HxEREXjyyScxd+5cBNSfi5M0qltINxQeL8Tey3spkSYuw6pEeuLEiVi1ahXUajXkzpCVEJvRHcVbGLUbcNyo3Y1dN5lbY963L+DvD3zxBR+B3NkGexUSaVNNu4lroXJRBMKFrb3uPFVUAFu2AA88wAuRTp34vIC2rkkVEum//+b9se11U8CZCF82tbX2/4IhkhAdHW23Y5eWluLTTz9F37598eCDDyI0NBS3bt3Cli1b8Pzzz+Obb77Bli1b4OHBZ41Vq9WIjo7G8ePHMXr0aIwfPx7Hjh1Deno6srOzkZOTAz/6H7bImG5j0K1lN4zsOBJFZUXw8fSBr5evtu+0pkajrb0mxGkwK2g0GvbEE0+wAQMGsOzsbFZSUmLNYSRPpVIxAEylUokdisVKSxmrrGSsqIix4mLGyssZu3iRrysttf373X47YwBjO3c2HldyMt9340bGZs/my/Ufv/9et1/9R3KyfX4HS7RqVRenruPH+fqwMHHikipHnItULprHpp9FXBw/YQIDm36s+nQLG93Hxo2MzZlj28KlupoxHx9+jAsXbP+7OKvqav73LC1l7Pp1+33BEKNc+TrFlmpqalhlZWWD9RqNhg0bNowBYJs2bdKuT05OZgDYjBkz9PafMWMGA8AWLVpk0fvT58BYuaaczd45m/X9vC8rKC1gs3fOZorFCoZ5YIrFCpaclczKNeVih0ncgCXno4c5ybaHhwc8PT21D19fX/zwww/Yv38/YmJiEBwcrLddeNCIta5LLue1wy1aANeu8e6B48fzdfaobDO3RlqoxEhO5jXmCQnA7Nm8IgPgz4sXA926me7GKHbTaWFcJGra7bqoXHQCwolijybAxkaVnjkTeO01XgjpFjzJybxwsqaA9PQEOnbky+7UT7qgAHj0Uf67t2hhvy8YIhnV1dVYunQp+vbti6CgIL3y9Pjx43jllVfw119/WXxcDw8P+BgoR7y8vPDYY48BAM7+c24yxrB8+XIEBAQ06Is9Z84cBAQEYPny5RbH4M7UVWqk/paKhTkLMWvwLGQczMDCnIXaOaaVFUqkZKcgdXcq1FVqcYMlRIdZV3RDhw5tMCoicR8+PkBhIe9zbC+WTH+lO+91aSlfnjOnborR6mrnHxBWSKSNNe2mRNr5UbnoBOzZtNtYIXLmDDB0KLB3r23nNu7cmR87NxcYMcL647gSYTR0Ly/qz0IaVV5ejtGjR2Pv3r0ICQlBUFAQ1Oq6pKpDhw5YuXIlWrRogYWGBnexQm1tLbZu3QoA6NGjBwAgNzcXeXl5iI2NbdCNRy6XY9CgQcjMzMTly5fRtm1bg8etrKxEpc6d9OLiYpvE66q8Pb2RcTADIc1CMLLjSMT/GG9wv4wDGXhniA3nXiWkicz65tq1a5edwyDOzN+fP1dU8PaL9sgdLEmkgbpKixYt6tbpTjHq5eXcA8IKvyfVSLsuKhedgD0TaVOjSufn1zXbsdXcxu44cvfVq/w5MlLcOIhLWLRoEfbs2YPFixfj7bffxvz587FgwQLt9uDgYERHRyMzM9PqRLqqqgqLFi0CYwxFRUXYsWMHzpw5g0mTJmHEPze4cv8ZFLCLMG1dPV26dEFmZiZyc3ONJtKpqamYP3++VTFKkbJCCWWFEj1a9UCBukBbE21oP1WFCqFymhqPOAezmnYT9yYk0gBPpu3B0kS6McKAsIYIA8KKiZp2E2IDQoFhj6bdji5E3HEuaSGRbtNG3DiIS1i3bh1iYmKQmJgImUxmsEVQx44dcenSJavfo6qqCvPnz0dKSgo+/vhj/Pnnn3jrrbfw3//+V7uPSqUCwBN3Q4KCgvT2MyQpKQkqlUr7uHz5stUxS4HCTwGFnwL5pfloJW8FhZ/C6H7BfjQ1HnEelEiTRukm0uXl9nkPWyfSun2pbdWN0ZbCwvgUXvXJZHze69tuc3xMhLgcHx9+wtxxh+2P7ehCxB1rpIWm3ZRIEzNcunQJvXv3NrlPYGCgyQS2MQEBAWCMoaamBpcvX8bHH3+M5cuXY9iwYTZtfu3r64ugoCC9hzvT1GiQ0C8BhWWF2P73dqPTXyX0S4CmRuSaEEJ0mNW0+/nnn7fq4DKZDP/3f/9n1WuJ8/D25k2lq6tdJ5EG9PtS26oboy2o1cD69cD160Dr1kBxMY+ppATo0we4fJmPwVNVxeMVO+knhlG56ASeew6YP58P4mCPE8aRhYiQSJ87x6eE8nCD+9zUtJtYIDAwEAUFBSb3OXfuHEJtMACKh4cHIiMjMWXKFISEhOCpp57Cu+++iyVLlmhroo0l7ELCbazGmjQk95EjaTCfe3XR7kXYNJ7Pvbrs4DLt9FcJ/RKQNDgJfl40rRhxHmYl0qtWrbLq4HTBKB3+/jzRKyuz/bEZs08iDdRdU9uqG2NTVVQAaWl8MODwcCAnh89znZnJ5+xOS6MpVV0FlYsiq6jgd6TsPVG8owqRdu34HcuKCp5gGulbKSnUtJtYoH///vj555+hVCqhEFqJ6Lh8+TI2b96sHWXbVkaPHg2gblwMoW+00Fe6vsb6UBPD/Lz8kDgwEe8MeQellaVIHJiI2UNmI1+dj9BmoWCMURJNnI5ZifT58+ftHQdxckIibY8a6erqumWxE117Uqt5opySwn9etYon1AsXAhs31i0LlMq6fRMTqWba2VC5KCLhZNIZaMjlTxgvLz4N1F9/8ebd7pBIU9NuYoG3334bMTExGDFiBDIyMlD9z8VDWVkZ9u3bh9deew3V1dWYNm2aTd83Ly8PAOD9z+AlXbp0QevWrbFnzx6o1Wq9kbvVajX27NmDDh06GB1ojBgn9+F/yxbN+EiyJ66fwPgfxqOqugp/vvanmKERYpBZiXT79u3tHQdxckI/aXsk0rpTQEk5kdadljYkBBg5EoiP1182JCODtywlzoXKRREZm+MZcO0TpnPnukQ6JkbsaOyLMWraTSwydOhQLFu2DK+//jqGDh2qXR8YGAgA8PT0xCeffIJ7773X4mOfOnUKUVFRaNasmd76srIybWL+wAMPAOCtiiZPnoyUlBQsWLAAixcv1u6/YMEClJaWYtasWRbHQBqKah6FEwUnAAC3ym+huX9zkSMiRB9N3EjMQol00+lOSxsezvtBK5V80DFh2djrxJ73mhCn4uwTxVtL6CdtpMmopBQX85YFANVIE7NNmTIFw4YNw2effYYDBw7g5s2bCAoKQr9+/fDKK6/gDisHHvz222/x73//G4MHD0ZUVBSCgoJw9epVbNmyBUVFRRgyZAjefPNN7f6JiYn48ccfsWTJEhw7dgz33HMPjh49im3btqFPnz544403bPQbu7cAnwBEBETgWuk1nLt1Dr39TQ82R4ijmZVIC1MJtGnTBp6enhZNLdCuXTvrIiNOxVGJtJeEb+3oTkubnw+0asV/1l121nmvSUNULorI1BzPrnzCuNPI3UKzboUCqFcLSIgpt912Gz788EObHvOhhx5CXl4e9u7di3379qG0tBTBwcHo2bMn4uLi8Pzzz8NL5wJFLpcjOzsb8+bNw/r165GVlYWIiAhMnz4dc+fOhb/udCekSTq36Ixrpddw9uZZ9G5NiTRxLmalLVFRUZDJZDh9+jS6du2q/bkxMplM24eFuDZHJNI+Pnz6J6kSpqVNSeGDDG/fDkydyvtF6y7XJ0xZK+XaeldE5aKIdE+m+lz5hHGnuaSpWTdxIr179250aq36goODsXTpUixdutROURGAJ9K/XfoNuUVu0FKHuByzEukJEyZAJpNph/IXfranQ4cOYe7cudi7dy80Gg3uvPNOTJs2DU899ZRZr9+yZQtWr16N48ePIz8/H1VVVWjXrh0GDRqEGTNmoGvXrnr75+bm4rvvvsPWrVtx9uxZFBYWIiwsDDExMZg1axa6d+9uj1/TZTgqkZYyYVpagHfjnDmTj9otkwGLFvFRuwEatdtVULkoYrlY/2SSygmjWyPNmLTvLNJAY8RKGzZswKpVq3Ds2DGoVCoEBwfj7rvvxqRJk/Doo4+KHR6xsc4teLl49pYb3GAkLkfGGGNiB1FfVlYWYmNj4efnh7i4OAQGBmL9+vW4ePEi0tPTMX369EaP8dprr+Hnn39Gv3790Lp1a3h7e+P06dPYsmULvLy8sHnzZgwfPly7f1xcHNatW4cePXpg8ODBCAoKwh9//IEtW7bA398fW7du1RvcwhzFxcUIDg6GSqVCUFCQxX8HZ/LII8DPPwOffw5MnmzbY58+Ddx+O9CiBVBUZNtjOyO1mo+VJExLW1HBr/tLS/l6X1/9KWtdbfBhZySFc5HKRQPqn0yufsJoNPyuZU0NTzSlnGQuWAAkJwPPPw/QdHCicaWysbq6Gk8//TTWr18Pxhi8vLzQsmVLFBUVobq6GjKZDGPHjsXatWv1mmG7Alf6HBzt25PfYtz34zCw7UDseX6P2OEQN2DR+cicjEajYZ06dWK+vr7s2LFj2vVKpZJ17dqV+fj4sAsXLjR6nPLycoPrt2/fzgCw3r17661fuXIlO3r0aIP9v/76awaA3X777Zb9IowxlUrFADCVSmXxa53NU08xBjD24Ye2P/bx4/zYERG2PzYhjLn+uUjlohvp1IkXiLt2iR2Jfb38Mv89k5PFjsStudL5mJKSwmQyGYuOjma7d+9mNTU1jDHGampq2G+//caGDh3KPDw82IIFC0SO1HKu9Dk42pG8IwzzwFq910rsUIibsOR89LBV9l5QUIANGzZgw4YNuHbtmtXH2blzJ86dO4enn34avXr10q4PDg7GrFmzUFVVhdWrVzd6HD8jTftGjBiB5s2b42y9Pmjx8fG4++67G+wfFxeHrl274tSpUygsLLTsl5EQatpNiOWoXCQWc5d+0tS0m1ho5cqV6N69O7Zv345BgwbBw4Nfwnp4eGDw4MHYvn07unbtihUrVogcKbGlTs07AQAK1AUoriwWORpC9JmdSB8/fhzJyck4fvx4g23//e9/0b59ezzxxBN44oknEBUVhfT0dKsC2rVrFwBg9OjRDbbFxsYCALKzs606NgDs27cPt27dQo8ePcx+jbe3NwC4XFMhW6JEmpCGqFx073LRLtxl5G4abIxY6Nq1a3j44YeNljne3t54+OGHm3TTkjifYL9ghDbj0xmeu3lO5GgI0Wf2FdCaNWvw0UcfYerUqXrrjx49ildeeQW1tbUYOnQoAgICkJWVhRkzZqBPnz6Ijo62KKDcf+bP7CLcldcRHh6OgIAA7T7m2LZtG/bu3YvKykrk5uZi06ZNCAkJMXuUxYMHD+LkyZPo06cPFAqFyX0rKytRWVmp/bm4WDp3ziiRJqQhKhfdu1y0C3eZS1pIpKlGmpipbdu2KC0tNbmPWq2m6QUlqHOLzrhRdgNnb57F3RENW0kRIhaza6T37t2Lvn37olWrVnrrly1bBsYYFi5ciF27dmHTpk3YsWMHZDIZPvvsM4sDUqlUAKAdCbe+oKAg7T7m2LZtG+bPn4/Fixdj/fr1aNu2LbZu3WrWNAcqlQoTJ06Eh4cH0tLSGt0/NTUVwcHB2kfbtm3NjtPZ2TORFq6xKZEmrobKRfcuF+3CHWqkKyuBGzf4MiXSxEyTJ0/Gt99+a7TG+erVq1i3bh0m23pEVCI67cjdNyVcLhKXZHYifenSJdxzzz0N1m/fvh3+/v546623tOv69++P0aNHY//+/baJsgnS09PBGENJSQkOHDiAbt26YdCgQVi7dq3J15WXl+Oxxx7DmTNnsGDBAgwbNqzR90pKSoJKpdI+Ll++bKPfQnxUI01IQ1QuDmv0vaRcLtqFbh9p55tUwzby8vizry/QsqW4sRCndenSJb3HU089hYEDB+Luu+/G4sWLsXv3buTm5mL37t1ITU3Fvffei8GDB+PJJ58UO3RiY5RIE2dldtPuoqKiBk348vPzceXKFYwcORI+9bKg2267DVlZWRYHJNS4GKtdKS4uRvPmzS0+bkBAAPr27YuNGzeid+/eeOmllzBq1CiEhoY22LeiogJjxoxBVlYWkpKSMGvWLLPew9fXF76+vhbH5gookSakISoXGyflctEuoqIADw8+tdf160B4uNgR2Z5us24pz5VNmiQqKgoyA/8fjDG88847Btf/9NNP2LRpE6qrqx0RInGQzi06I6RZCGpZrdihEKLH7ETa398f169f11t3+PBhAMC9997bYH8fHx/tYDSWEPoA5ubmNjhufn4+SktL0bdvX4uPK/Dy8kJMTAz+97//4fDhw7j//vv1tpeXl2PMmDH49ddfkZiYiEWLFln9XlJCiTQhDVG5SGzOxwdo3x44f573k5ZiIk0jdhMzTJgwwWAiTdxPTFQMLrx+ATfKbqCqpgqaGg3kPnKxwyLE/ET69ttvx5YtW1BTUwNPT08AwC+//AKZTIbBgwc32P/SpUuIiIiwOKDo6GikpqZi27ZtiIuL09uWmZmp3acp8v5pVlb/glb3YvGtt97CkiVLmvQ+UtKsGX8uK7P9sSmRJq6KykViF50780T67FlgyBCxo7E9GrGbmGHVqlVih0CcQEV1BT47/BkyDmZAWaGEwk+BhH4JSBqcBD8vw1M6EuIoZveRfvrpp3H16lWMGTMGP/30E9LT07Fy5UqEhIRg1KhRDfbPycnBbbfdZnFAI0aMQMeOHbF27Vq9KWVUKhUWLVoEHx8fTJgwQbv+2rVrOHPmTIMmj0KtUH2ZmZnYsGEDFAoFBgwYoF0vNFv89ddfMW3aNLz33nsWxy5lVCNNSENULhK7kPpc0lQjTQgxg7pKjdTfUpGSkwJlhRIAoKxQIiU7Bam7U6GuUosbIHF7ZtdIT5kyBT/++CM2b96MLVu2gDEGLy8vfPjhhw36AWZlZeHq1atISkqyPCAvLyxfvhyxsbEYOnQo4uLiEBgYiPXr1+PixYtIT09HVFSUdv+kpCSsXr0aK1euRHx8vHZ9nz590KNHD/Ts2RORkZFQq9X4/fff8dtvv8Hb2xsrVqyAXF7XLORf//oXfv31V4SHhyMwMBDz5s1rEFt8fLzee7sTSqQJaYjKRfcuF+1G6lNg0dRXhBAzeHt6I+NghsFtGQcy8M6Qhn3lCXEksxNpT09PZGZm4quvvsL+/fvRsmVLPPbYY7j77obzuRUUFOD111/HmDFjrAoqJiYGu3fvxty5c7Fu3TpoNBrceeedWLJkCcaNG2fWMRYtWoSsrCxkZ2fjxo0b8PDwQLt27fDSSy/hjTfeaFArdOHCBQC8v+H8+fMNHnPYsGFue8FIiTQhDVG56N7lot1IfQosatpNrLR7926kp6fjf//7H/Ly8gwOKiaTyWiwMYlQVii1NdGGtqkqVAiVNxwckxBHkTEm1fk1xFdcXIzg4GCoVCoEBQWJHU6T7N7Nu+p17mz7SpLFi4GkJGDSJGDFCtsemxBAWueiq6PPwgynTwO33w4EBgIqlfRGtm7fHrh0Cdi7F9DpSkAcz5XOxy+++ALx8fFgjKFjx46IiIiAl5fh+iBrZkcQkyt9Do5UVVOFsPQwg8m0wk+B629dh48n1cIQ27LkfDS7Rpq4N6qRJoQQB+nYkSfPJSXAjRtAq1ZiR2Q7tbV180hTjTSxwIIFC9C8eXNs3ry5SbMUENehqdEgoV8CUrJTGmxL6JcATY2GEmkiKrMHGyPujRJpQghxEF9foF07viy1ftI3bgDV1fxGgRSn9iJ2c/nyZcTFxVES7UbkPnIkDU5CcnQyFH4KALwmOjk6GUmDk2gKLCI6qpEmZqFEmhBCHKhzZ+DiRd5PetAgsaOxHWHE7rAwwIo51Yn7at++PaqECwbiNvy8/JA4MBFJg5OQX5qPVvJWYIzR1FfEKVCNNDGLMI90eTlg6171lEgTQkg9Uh1wjAYaI1Z68cUXsWnTJty8eVPsUIiDyX3kOFN4Bg9//TD6L+9PNdHEaVCNNDGLUCMNABUV+j83FSXShBBSj1Tnkqapr4iVpk+fjr///huDBg3C7NmzcddddxkdCKid0DWCSEZIsxCcKDgBLw8v1LJaeMioLpCIjxJpYhbdxLm8nBJpQgixK6nOJS007aZEmljhnnvuwdq1azFhwgSj+9D0V9LUSs4HXayurcbN8psIaRYickSEUCJNzOTtDXh6AjU1tu8nTYk0IYTUo9u0mzHpTIFFTbuJlT766CO88cYb8Pb2RkxMjMnpr4j0+Hj6oKV/SxSVFyG/NJ8SaeIUmlQCVVdX488//4RSqURNTY3BfYYOHdqUtyBOxN8fKC2lRJoQU6hcJDbRsSN/VqmAoiIgRCIXjVQjTay0dOlStGnTBnv37kUk3YhxS+EB4dpEukerHmKHQ4h1iTRjDMnJyfjoo49QUlJicl9jF5LE9VAiTYhxVC4Sm/L3B9q2BS5f5rXSUkmkqY80sVJ+fj5efvllSqLdWHhAOE7eOIn80nyxQyEEgJWJ9IIFC/Duu+9CoVBgwoQJiIyMpOY1bsBeU2AJibSvr22PS4gjUblIbK5zZ55I5+YC/fuLHY1tUNNuYqXOnTtDqVSKHQYRUXgAn3ueEmniLKy6yluxYgXat2+Pw4cPo2XLlraOiTgpeyfSVCNNXBmVi8TmOncGsrKkM3J3cTEgtNagGmlioTfffBPTp0/HxYsX0b59e7HDISKgRJo4G6sS6fz8fEyZMoUuFt2MMJd0WZltj0uJNJECKheJzUltLmmhNjooCAgIEDcW4nI6deqE6Oho9O7dG2+88YbJ6a9oHAppokSaOBurEukOHTqguLjY1rEQJ0c10oQYR+UisTmpzSVNzbpJEwwbNgwymQyMMcyZMwcyEyPZ0zgU0kSJNHE2ViXSU6ZMwbvvvouCggK0atXK1jERJ0WJNCHGUblIbE5qc0nTiN2kCZKTk00mz0T6KJEmzsaqRHrMmDH47bffMHDgQCQnJ+Oee+4x2rymXbt2TQqQOA97JdKVlfyZEmniyqhcJDYnTIF16xZw8ybQooW48TQV1UiTJpg3b57YIRCRUSJNnI3VTbuF5jWTJk0yup9MJkN1dbXVwRHnQjXShBhH5SKxObkcaN0ayMvjzbv79hU7oqahqa8IIU0gJNJF5UWoqqmCjyddOBJxWZVIT5gwgZrXuCFKpAkxjspFYhddukgnkaam3YSQJmjh3wJeHl6orq1GgboAkUHUuoWIy6pEetWqVTYOg7gCSqQJMY7KRWIXnTsD2dnS6CdNTbtJE3h4eJh1s5Ja/UiXh8wDYfIwXC25ivzSfEqkieisSqSJe6JEmhBCHExKU2BRjTRpgqFDhxpMpFUqFXJzc6FWq3HXXXdBoVA4PjjiMBGBEdpEmhCxUSJNzCYk0jSPNCGEOIhUEumqKqCggC9TIk2ssGvXLqPbysrKMHPmTGzduhW//vqr44IiDif0k75Wck3kSAhpQiJdUlKCZcuWYfv27cj7//buPKypK/8f+DtsCQRIRFCkKCiurdYuirvUFbV1tHUq2m+tqK21G7W1xVKtKLUuDP5s0ZlOl3Ht2NVWO04V1CoUrQqt3a1VFLUq4pYAUfbz++NOIiEBkpCQAO/X8+Thcs/NvSc3uSfn5Jz7ORcuoFQferkamUyG3NzcBmWQXIePj/SXPdJE5rFcJLvTzyXd1Id2X/xfpdfLCwgMdG5eqNnx8fFBamoq+vbti5dffhnr1693dpbIQYKVjNxNrsOmhvTly5cxcOBA5Obmwt/fH4WFhVCpVCgrK8PN/7WyQkJC4OnpadfMknNxaDdR7VgukkNEREh/r16VpsFq1cq5+bGVflh3SAjg5ubcvFCzNWTIEHzwwQfOzgY5EKfAIldi07fZ4sWLkZubi02bNuH69esAgBdeeAE6nQ6HDx9GZGQkwsPD8euvv9o1s+RcjmhIV1YCVVXSMhvS1JSxXCSH8PUFgqWKI5rySAZOfUWN4PLlyyguLnZ2NsiBDA1pHRvS5Hw2NaS/+uorjBgxAo8++qhJ4Ie+ffti586dyMvLw5IlS+ySSXINjmhI63ujATakqWljuUgO0xzuk2bEbnKgqqoqbN68GR9//DHuuusuZ2eHHIg90uRKbGpIX7x4EXfffbfhf3d3d8PQRQBo1aoVxo4di08++aThOSSXwYY0Ue1YLpLDNIf7pBmxmxqoU6dOZh8dOnSAj48PYmNj4ebmhuXLlzs7q+RAbEiTK7GpIa1SqVBeXm74v1WrVvhT/yX5P/7+/rh06VLDckcuxdENad46Sk0Zy0VyGPZIE6GqqgpCCJOHp6cnevbsidmzZ+O7775DVFSU1fs+f/483nzzTYwePRodOnSAl5cXgoODMWnSJBw+fNjscwoLC/Hiiy8iLCwMcrkc4eHhePnllzm03MGqN6SFEE7ODbV0NgUb69SpE/Ly8gz/33333di9ezeuXr2K1q1b4+bNm/jPf/6DDh062Cuf5AIc2ZD28GD8GWraWC6SwzSnhjR7pMlG1ctXe1uzZg1WrlyJiIgIjB49GkFBQThx4gS2bduGbdu2YcuWLYiJiTFsr9PpEBUVhR9++AGjR4/G1KlTcfToUaSkpCAjIwOZmZlQKBQOy29L1ta3LQJ9AhHsGwxdmQ6+cl9nZ4laMJuaLqNHj8bevXtx438TCj/55JMoKChA79698fDDD6Nnz57Izc1FbGysPfNKTuaIeaQZsZuaC5aL5DDNoSHNod3kwiIjI7F//36cPHkS77//PpYvX47PPvsM+/btg7u7O5566imj6QyTk5Pxww8/YP78+UhLS8OKFSuQlpaG+fPnIzs7G6tXr3biq2neZJAh7/k8fDnlS3i6e0JXpnN2lqgFkwkbxkVcvHgRmZmZGDFiBAL/Nx/kqlWrsHTpUmi1Wnh7e+Ppp5/GihUr4O7ubvdMNxX66W+0Wi38/f2dnZ0G++47oE8fqR5UY8SqzY4fB7p3B9RqaWYXIkdojGuR5aJlmlu52CgKCwGVSlrWaoGmdt6qqqRfYsvKgLw8ICzM2Tmi/+H1WL/o6Gikp6cjOzsbffr0gRACoaGhKCwsRH5+PpRKpWFbnU6H4OBgtGnTBrlWRNnn+2CZkooSLP9mOVKPpEJTooFaoUZcvzgkDE6AwoMjAMg+rLkebRra3a5dO6MhLgAwb948zJ07F1euXEGbNm1MotZS0+fIod3skaamjuUiOYy/P9CmDVBQIPVK33OPs3NknStXbhX27do5Ny/UpMycOdPq58hkMvzrX/+yWx48/xfAxcNDqjKfOHECFy5cQHR0tFEjGgCUSiUGDRqEtLQ0nDt3Du3bt7dbPlo6XZkOyQeSkZSZZFinKdEgKUP6P35gPJReytqeTuQQNjWka+Pu7o62bdvac5fkQtiQJrIey0Wyi86dm25DWn9/dJs2LOzJKhs2bLB4W5lMBiGEXRvSZ8+exZ49e9CuXTv06tULgNSQBoAu+mj6NXTp0gVpaWk4ceJErQ3p0tJSo6HihYWFdslvc+bp7onUI6lm01IPp2LBkAWNnCOiBjakjx49ig8//BC///47bty4gT179gAAzpw5g8OHD2PkyJEICAiwS0bJ+ao3pIUA7NG5xoY0NTcsF8khOncGDh5smvdJM2I32ejbb7+1aLuTJ09i8eLFVg2nrk95eTmmTZuG0tJSrFy50nBLjlarBSDN1GCOfiiofjtzli9fjiVLltgtry2BpkQDTYmm1jRtiRZByqDGzRS1eDbHSY6Pj0efPn2QkpKCHTt2YN++fYY0IQQeeeQRbN682eaMZWdnY9y4cVCr1VAqlejfv79V86/u3LkTU6ZMQffu3aFWq+Hj44Pu3btj1qxZ+OOPP2p9XlpaGqKiouDn5wd/f38MGzYMe/futfl1NCf6hjQAVPshtUH0DWm53D77I3ImlovkME15LmkGGiMb9evXr85HREQEPvjgA8yaNQu5ubkYPHgwsrKyGnzcqqoqxMbGIjMzE0888QSmTZtmh1dzS0JCArRareFx7tw5u+6/OVIr1FAr1LWmqRTmf9ggciSbGtLr169HSkoKHnjgAfz0009ISEgwSg8PD0dkZCS+/PJLmzK1b98+DBo0CFlZWZg8eTLmzJmD/Px8xMTEYNWqVRbt46uvvsKhQ4fQu3dvzJgxA88++yy6dOmCjRs34s4778TXX39t8pwPPvgAY8aMwbFjxxAbG4vp06fj119/xahRo/DZZ5/Z9Fqak+oNaXsN72aPNDUXLBfJoZpy5G5OfUV2duPGDSQlJSEiIgJ///vf0aVLF2zfvh2ZmZkYMGBAg/ZdVVWFmTNnYsuWLXj00Ufxz3/+0yhd3xNdW4+zfph2bT3WACCXy+Hv72/0oLqVV5Yjrl+c2bS4fnEoryxv5BwRARA26NOnj7j99ttFeXm5EEKIxYsXCzc3N6NtZsyYIdq3b2/1vsvLy0VERISQy+Xi6NGjhvUajUZ07dpVeHl5iby8vHr3c/PmTbPr9+zZIwCIPn36GK2/du2aUKvVIjAwUJw7d86w/ty5cyIwMFAEBgaKwsJCq16LVqsVAIRWq7Xqea6qqkoINzchACHOn7fPPnfskPbXt6999kdkTmNciywXLdPcysVGk50tFZbBwc7OifVmzJDyvnSps3NCNTS167GiokL8/e9/F8HBwUImk4n27duLdevWicrKSrvsv7KyUjz22GMCgJg6daqoqKgw2eb48eMCgIiOjja7j+joaAFAnD171uLjNrX3wVlult8Ui/YtEuoVaoHFEOoVavHa16+Jm+Xmv9uIbGHN9WhTj/Rvv/2GUaNGGSIYmtO2bVsUFBRYve+vv/4aubm5eOSRR3DXXXcZ1qtUKrz66qsoKyvDxo0b692PQmE+DP6IESPQqlUrnKzxq/6nn34KjUaD5557DqHV7uMKDQ3Fs88+iytXruCLL76w+vU0JzKZ/eeSZo80NRcsF8mh9D3S+flAcbFz82ItDu0mO/j0009x++2347nnnkNpaSlWrFiBP/74AzNmzICbm813KhpUVVVhxowZ2LRpE2JiYrB582azUxV26dIFISEhOHDgAHQ64zmMdTodDhw4gI4dOzJitwMoPBSIHxiPSy9dwvkXz+PPF/7E8I7DOfUVOY1NJY+HhwfK9C2gWly4cAG+vr5W73v//v0AgNGjR5ukRUdHAwAyMjKs3q/et99+i+vXr6Nnz56NetzmwsdH+suh3UTGWC6SQ6nVwP/mJ29yw7s5tJsaYP/+/ejXrx+mTJmCs2fPYt68eTh16hTi4+Nr/XHQWvrh3Js2bcLDDz+MDz74wGwjGpCigz/++OMoLi7G66+/bpT2+uuvo7i4GE888YRd8kWmlF5KeLl7obKqEuFvhWPU5lEoKi1ydraohbIpanevXr3w9ddfo7Ky0mxBo49Ue++991q977qmFQgODoavr69hG0ukp6fj4MGDKC0txYkTJ7Bjxw4EBgZi9erVFh9Xv66+47aE6QzsPQWW/nSxIU1NHctF81pCudhoOneW5mQ+eRKoNjLB5TFqN9lo7NixSE9Ph5ubG6ZPn46kpCSj0TH2kpSUhI0bN8LX1xddu3bF0qVLTbaZOHGiYURQfHw8tm/fjpUrV+Lo0aO455578P333yM9PR19+/bF3Llz7Z5HMtZe1R5qhRpXblzBN2e/wbgu45ydJWqBbGpIz5w5E48//jjmzJmDtWvXGqUVFhbi8ccfR35+Pt566y2r923JtAJ1TSlQU3p6ulEgns6dO+Ojjz4yqczWdVxLpjIAWsZ0BvZuSLNHmpoLlovmtYRysdF07gwcOtS0eqSLiwH9Z4Q90mSltLQ0yGQydOjQAfn5+Zg9e3a9z5HJZPjvf/9r1XHy8vIAAMXFxXjjjTfMbhMeHm5oSCuVSmRkZGDx4sXYunUr9u3bh3bt2mHevHlITEyEd/XorOQwsb1j0bNNTwwLH4YCXQHUCjXKK8uh9FI6O2vUUth6I/bUqVOFTCYTfn5+on379sLNzU307dtX+Pr6CplMJmbMmGHTfkeNGiUAiBMnTphNDwkJEf7+/lbvt6ioSBw+fFjcf//9Qi6Xi3//+99G6V26dBEADIGCqisrKxMAxJ133lnnMUpKSoRWqzU8zp071+yCR9x1lxQzZudO++zv73+X9jdpkn32R2ROYwVyYbloqiWUi41myRKpwJw1y9k5sdzvv0t59vNzdk7IDFcPciWTyax+1Azy2BS4+vvgqopKi8TCrxcaBR9btG8Rg49Rg1hzPdrUIw0AW7ZswbBhw7B27Vr88ssvEEIgJycHPXr0QFxcHJ588kmb9mvJtAKtWrWyer++vr6IjIzEtm3b0KdPH8yePRujRo1CUFCQyXFbt25tcszq29RGLpdD3swnRGaPNFHtWC6aagnlYqPRBxxrSnNJM9AYNcDp06ednQVyUboyHf524G9YmnlrGL6mRIOkjCQAQPzAePZMk8M1KMzhE088gR9//BHFxcX4888/UVhYiF9//dXmyiJQ9313+fn5KC4uNnu/nqU8PDwwbNgw6HQ65OTkWHTcuu4TbGnYkCaqG8tFcpimOJc0A41RA4SFhdn0oObP090TqUdSzaalHk6Fp7tnI+eIWqKGzxcAwNvbGyEhITZFo60pKioKgHQPX01paWlG29jqwoULAABPz1sXWWMctzlgQ5rIMiwXye70DekLF4Aa0+64LAYaIyIH0JRooCnR1JqmLbE8bgiRrezSkLanESNGoFOnTtiyZQt++OEHw3qtVotly5bBy8sLjz32mGH9xYsX8fvvv5sMeazeq1JdWloavvjiC6jVagwYMMCwfvLkyVCpVFizZg3+1A9FA/Dnn39i7dq1CAwMxIMPPminV9l0cR5posbHcpEAAAEB0gMAcnOdmxdLcWg3ETmAWqGGWqGuNU2lqPu2IyJ7sPge6U6dOlm9c5lMhlwrv+w9PDzw/vvvIzo6GkOHDsWUKVPg5+eHrVu34syZM0hJSUF4eLhh+4SEBGzcuBHr169HbGysYX3fvn3Rs2dP3HnnnQgNDYVOp8NPP/2Eb775Bp6enli3bh2Uylv3TrRq1Qpr167FtGnTcM899yAmJgYA8PHHH+Pq1av4+OOP4efnZ/U5aG7YI010C8tFlouNrnNn4MgRaXj3nXc6Ozf149BuInKA8spyxPWLM9wTXV1cvziUV5bDy52VS3IsixvSeXl5cHd3h4eHzfHJLDZs2DBkZWUhMTERH3/8McrLy9GrVy+sXLnSUJGrz7Jly7Bv3z5kZGTg8uXLcHNzQ4cOHTB79mzMnTsXPXr0MHnOo48+isDAQCxbtgzr16+HTCbDvffei4ULF2LkyJH2fplNko+P9JcNaSKWiywXnaB6Q7op4NBuInIApZcSCYMTAEj3RGtKNFAr1IjrF4eEwQlQeCicnENqCWRCCGHJhm5ubnB3d8fIkSMxc+ZMTJw40eheOjJVWFgIlUoFrVZrmHO1qXvhBeDNN4H584EVKxq+v2efBf7+d+C114Ak0x8ViezCUdciy0XrNcdysVElJkqF5RNPAO++6+zc1K9dOyA/H8jJAWrMU07Ox+vRNfB9sJ2uTAd3N3fkF+cjyEeacYLRuqkhrLkeLb5H+rfffsPzzz+PH374AVOmTEFISAheeOEF/Pzzzw3OMDUdHNpNdAvLRWp0+ijpTWEKrPJy4NIlaZlDu4nIAZReSpRVlOHBjx9E+FvhuKS75OwsUQticUO6e/fuSElJwZ9//omtW7diwIAB+Pvf/4677roLffr0wdtvv13rHKfUfLAhTXQLy0VqdE1pCqz8fEAIwMMDaNPG2bkhombKX+EPf7k/rty4goy8DGdnh1oQq6N2u7u7Y+LEifjyyy9x7tw5LFu2DDqdDs888wxCQkLw6KOP4uzZs47IK7kANqSJTLFcpEajb0j/+af9CmJH0UfsDgkB3FxukhAiakb+r+f/YVvMNsT0jMHVG1dRVFqEssoyFOgKUFZZBl1ZE5kykJqUBn2ztW3bFvPnz8exY8ewe/duBAQE4MMPPzSanoWaFzakierGcpEcqnVrQPW/aV1OnXJuXurDQGNE1Ej+787/Q87FHAzbOAxVogrJB5PRNqWt4ZF8MBklFSXOziY1Mw3+iTg7OxtPPfUU/vrXv+L8+fMICQlBKL80my1vbyAw0H6j9NiQpuaI5SI5jEzWdO6TvnoV6NkT6N7d2TkhomZMV6ZD8oFkLM1cilcHv4rUI6lYmrkUmhINAEBTokFSRhKWZy1nzzTZlU1ztly5cgWbN2/G+vXr8euvv8LDwwPjx4/HrFmzEB0dDTcO4Wq2oqKAvDypflRWJsWSUTYgOCIb0tRcsFykRtO5sxQF25Xvk9bpgMceA0aPBoKDpf8b8mVBRFQLT3dPpB5JRaBPIEZ2GonY7bFmt0s9nIoFQxY0buaoWbO4ZldVVYUdO3bgoYcewm233YZ58+YBAFatWoXz58/js88+w9ixY1lZbMZKSoCNG6VRemFhQNu2QHKytN5WbEhTU8ZykZzC1QOOlZRIXw4hIUCnTtLfhn5ZEBHVQlOigaZEg2DfYBToCgw90ea205YwACjZj8U90qGhobh06RJUKhVmzZqFmTNnok+fPo7MG7kQnU6qB73++q11Gs2tuZ/j423rbGBDmpoylovkFK7ckNZ/Wei/HAD7fFkQEdVCrVBDrVAjvzgfbZRtoFaoTRrTgT6B6BrQFSqFyjmZpGZJJoQQlmzo5uYGT09PDBw4EN76iFP17Vwmw3//+98GZbAps2ZCb1dXVib1QGs0pmlqtTRVqC2N4chIIDsb2LEDuP/+huaSyDxHXYssF63XnMpFpzl4EBg0COjQAThzxtm5MeaoLwtyCF6ProHvQ8PoynRIPpiMpIwkbIvZhpyLOViauRQA0D2wO1aMWIGRnUaiqKwISk8l5B5yaEo0UCvUKK8sh9KLP+7RLdZcj1bdI11eXo6MDMvnZ5PJZNbsnlyYRmO+XqRP02qBoCDr98seaWrqWC5So9P3SJ87Jw2XViicm5/qHPVlQURUC6WXEgmDEwAAy7KWYcfUHQCA9Nx07Ji6A6lHUg3rkw8mY+2RtYaGdFy/OCQMToDCw4XKUWoyLG5Inz592pH5IBenVkuP2joZVDaOlGFDmpoylovkFEFBgJ8fUFQEnD4N9Ojh7Bzd4qgvCyKiOig8FIgfGI8FQxaguLQY8QPjET8wHikHU7A0cym2xWwzRPPW00fzBoD4gfHsmSarWdyQDgsLc2Q+yMWVlwNxcca3venFxUnptjSG2ZCmpozlIjmFTCb1Sh89Kt0n7UoNaUd9WRAR1UPfEA7wCQAAlFWWMZo3ORRDyZJFlEogIQFYtEjqVACkv4sWSettjR3DhjQRkQ1cdS5ppRJ48UVg4UL7flkQEVmJ0bzJ0WyaR5paJoVCCriakADk59+6za0ht+eVlkp/2ZAmIrKCq0buLikBxowB5s8HLl6Uhp+rVFJPtCvdy01EzR6jeZOjsUearKJUSr3I48cD4eHAjRsN2x97pImIbOCqDemtW4FDh6Rh3J6e0i+uXl7siSaiRldeWY64fnG4cuMK9pzag2cjnzWkdQ/sjm0x25D3fB4+fvhjAFL0byJrsEearObvL3UuXLkCfPed1PlgKzakiYhs4KoN6bfflv7Ong24uzs3L0TUolkSzTt2eywjeJPN2CNNNunTR/qbk9Ow/bAhTURkA/090mfO3CpIne3nn4EDBwAPD2DWLGfnhojIEM37mxnfwF3mjviB8dgzbQ/WHlmLpZlLDUO99RG8l2ctZ880WYwNabKJPRrSVVVARYW0zIY0EZEV2raVhktXVUlTYLmCf/5T+jtxItCunVOzQkSkp/RSwsvdCwE+AfCT+0HuIUfqkVSz26YeToWnu2cj55CaKjakySb6hnR2tu37KC+/tcyGNBGRFfRTYAGuMby7uBjYvFlanjPHuXkhIqqDPpp3TYE+gQj1D0VhSWHjZ4qaJDakySZ33w24uUkjCgsKbNtH9dGIbEgTEVnJlRrSO3cCcjnQtSswfLizc0NEVCt9NG+96oHHvpzyJfwV/hzeTRZhQ5psolQC6elAXh5QWSk1inVWljlsSBMRNYArzCWt00mFeWSk9IXwxRdSbzkRkYvSR/MGpEZ0Zmwmci7mIHR1KDqldkLblLZIPpiMkooSJ+eUXB0b0mSTkhIgIwMIDQVCQqTb9ZKTpfWW0jek3dwY3JWIyGrO7pEuKZEK/rZtpfkQQ0OBjz+27ouAiKiR6aN5L4pahJRRKUg9ksrAY2QTNqTJajodsHw58PrrgEYjrdNogKQkab2lPdOM2E1E1ADObEjrvwiSkhr2RUBE5AT6aN6jIkZh7ZG1Zrdh4DGqDxvSZDVPTyDVfLBDpKZK6ZZgQ5qIqAH0Dem8POPojY3BXl8EREROovRS1hp4DJB6prUl2sbNFDUpbEiT1TSaWx0Q5tK0FpY5bEgTETVASAjg7S0FqsjLa9xj2+uLgIjIiWoGHquZplKoGjdD1KSwIU1WU6ulR21pKgvLHDakiYgawJlTYNnri4CIyImqBx6rKa5fHMorG3m0DzUpbEiT1crLgTjzZQ7i4iwfYciGNBFRAzmrIW2vLwIiIieqHnhM3zOtVqjx2tDXkDA4AUovpXMzSC7Nw9kZoKZHqQQSEqTl1FRpFJ9aLdWdEhIAhcKy/bAhTUTUQPqGdGNPgaX/IhACWLPG9i8CIiIn0wceWzBkAa7cuAKVXIXvLn4HhQfLMaobG9JkE4UCiI+XHpcvA8HB0m161tSd2JAmImog/VzSzojcrVAA0dHA/PnSPdGBgVJPNBvRRNTE6Hueb5bfRO9/9kZRaRGuzb8GH08fJ+eMXBmHdpPNlEogJgYYPx7YvVv63xpsSBMRNZCz55J++mlpDuncXKkwt/aLgIjIhXRq1Qk+nj4orSzFt+e+dXZ2yMWxR5oa7JdfpF5pa5WVSR0YPXrYP09ERC2CviFdVARUVAAejfy1fuaM1BvdunXjHpeIyAFkMhlie8finnb3YGD7gSjQFUCtUKO8spz3S5MJ9khTg+gDs9Y2C0pd7rxTmrHljTekRrVOZ8+cERG1ALfdBnz5pdQjffVq4xamWu2taa46dGicYxIROdjLg15GzsUchPy/ELRNaYu2KW2RfDAZJRUlzs4auRiXbUhnZ2dj3LhxUKvVUCqV6N+/Pz755BOLniuEwM6dO/HUU0/hzjvvhEqlgo+PD3r37o1ly5ahpMT8hVBRUYF169ZhwIABCAoKgp+fH26//XbEx8cjPz/fni+v2dA3pK2dMrSkBFi/HggNlUYFtm0LJCdL64nIPJaLZKKsDDhyRCpMg4MbtzA9e1b6GxAA+Po6/nhERA6mK9Phbwf+hqWZS6Ep0QAANCUaJGUkYXnWcujK2OtDt8iEEMLZmahp3759iI6OhkKhwJQpU+Dn54etW7fizJkzSElJwbx58+p8fklJCby9vSGXy3HfffehV69eKCkpQVpaGk6cOIG+ffti//798PExDiAwadIkfP755+jcuTPGjBkDuVyOQ4cO4cCBA2jXrh2+//57BAcHW/w6CgsLoVKpoNVq4e/vb9O5cHWvvgosXw48/zzw5puWPUenk+p5SUmmaYsWSQHMeJsd2VNzuBZZLpIJZxemO3ZIQTLuvhv4/nvHHYcchteja+D74DrKKsvQNqWtoRFdnVqhxqWXLsHLncF9mjOrrkfhYsrLy0VERISQy+Xi6NGjhvUajUZ07dpVeHl5iby8vDr3UVZWJpYuXSquXbtmsn78+PECgEhOTjZKO3z4sAAgIiMjRVlZmVFaXFycACCWLFli1WvRarUCgNBqtVY9rylZsUIIQIjp0y1/TmmpEGq19LyaD7VaSieyp6Z+LbJcJLOcXZiuXSsda+JExx6HHIbX4y2bN28Ws2fPFvfee6/w8vISAMT69etr3V6r1YoXXnhBdOjQQXh5eYmwsDDx0ksviaKiIquPzffBdVwqviSwGLU+CooLnJ1FcjBrrkeXG9r99ddfIzc3F4888gjuuusuw3qVSoVXX30VZWVl2LhxY5378PT0xIIFC9CqVSuT9Qn/mwA5IyPDKO3UqVMAgJEjR8LT09Mo7YEHHgAAXLYlolYzp1ZLf60Z2q3R1H5PtUZj/TBxouaO5SKZ5ezC9MwZ6W9YmGOPQ9QIFi5ciHfffRdnzpxBu3bt6txWp9MhKioKq1evRvfu3fHCCy+gW7duSElJwfDhw2u9VYZcn1qhhlqhNlkf6BOIgaEDoVKoGj9T5LJcriG9f/9+AMDo0aNN0qKjowGYVvasoa8MetSIbHrHHXcAAPbs2YPy8nKjtB07dgAARowYYfNxmytbgo2p1bca4ObSVCyjiIywXCSznF2Y6u+RZkOamoH3338feXl5uHz5MubMmVPntsnJyfjhhx8wf/58pKWlYcWKFUhLS8P8+fORnZ2N1atXN1Kuyd7KK8sR1y/O8H/3wO7YFrMNec/n4eOHPwYA3idNBi7XkD5x4gQAoEuXLiZpwcHB8PX1NWxji3Xr1gEwrZD26tULzz//PI4cOYLbb78dcXFxePnllzF48GC8++67WLJkCSZOnFjnvktLS1FYWGj0aO5sCTZWXg7ExZlPi4uT0onoFpaLZJazC1N9jzQjdlMzMHLkSIRZ8KOQEALvv/8+fH198dprrxmlvfbaa/D19cX777/vqGySgym9lEgYnIBFUYsQeVskMmMzkXMxB6GrQ9F+dXtG8CYjLjePtPZ/LTJVLb+k+/v7G7ax1s6dO/HOO++gR48emDVrlkn6m2++iY4dO+Lll1/GmjVrDOvHjx+Phx56qN79L1++HEuWLLEpb02VLUO7lUrglVeAqipg7VqpN1utlup9CQmAQuGAjBI1YSwXySylUio0ASA19VZh+uyzwMsvOz5qI4d2Uwt04sQJXLhwAdHR0VDWuMaUSiUGDRqEtLQ0nDt3Du3bt3dSLqkhFB4KxA+Mx0sDXkLKwRQszVxqSNNH8AaA+IHxnFu6hXO5HmlHyc7ORkxMDFQqFT799FPI5XKj9KqqKsyePRsLFy7EmjVrcPHiRWi1Wnz11Vc4duwY+vfvj+zs7DqPkZCQAK1Wa3icO3fOkS/JJdg6j/Tx48C99wJ//gkUFACXLkkBZtmIJmo8LBebAYVCKjwvXZIK0wsXgHvuAcaNs75gtkZpKXDxorTMhjS1IHWNEKq+vq5RQhyp4/qUXkrIPeRIPZJqNj31cCo83T3NplHL4XINaX2PS229K/qQ5NbIycnB6NGj4ebmhrS0NMN9f9WtW7cO7733Ht544w08+eSTCA4Ohr+/P8aOHYvPPvsMOp0Or776ap3Hkcvl8Pf3N3o0d9WHdlszkdrRo8CDDwLTpwNBQYCXF6e8IqoNy0Wqk1IpFaJBQdL/r7wCfPMNUM+UaA2i/0HE2xsIDHTccYhcjCUjhKpvZ87y5cuhUqkMD/ZcuyZNicbsNFiBPoEI9Q9FYQl/AGnpXK4hXdcvefn5+SguLq71V0BzcnJyMGrUKFRVVSEtLQ19+/Y1u93OnTsBAMOGDTNJ6927N1q1aoWjR49afNyWQj+0u7JSmtLUUr/9Jv297Ta7Z4mo2WG5SBbz9gb+9S9AJgPWrQN273bMcaoHGpPJHHMMomaKI3WahpoRvKsHHtv5yE7IPeQoqyxDga4AZZVlDELWArlcQzoqKgoAkJ6ebpKWlpZmtE199JXFyspK7Nq1C/369at127KyMgDmp3IpLS1FUVGRybBHAnx8AHd3admaWzT1DekePeyfJ6LmhuUiWWXwYOCZZ6TlJ54AiovtfwwGGqMWypIRQtW3M4cjdZqG6hG8uwd2NwQeG75pOOQeciQfTEbblLaGB4OQtTwu15AeMWIEOnXqhC1btuCHH34wrNdqtVi2bBm8vLzw2GOPGdZfvHgRv//+u0mB9t1332HUqFGoqKjAzp07MWDAgDqPO2jQIADAsmXLUFpaapS2ePFiVFRUmO2VaelkMtsCjukb0rffbvcsETU7LBfJasuXS73FZ84A9Qy/twkDjVELVd890PXdQ01NR/UI3imjUpB6JBVLM5fi1cGvGpb1Q7/1QciWZy1nz3QLIhPCmjtbG8e+ffsQHR0NhUKBKVOmwM/PD1u3bsWZM2eQkpKCedXu+4qNjcXGjRuxfv16xMbGAgCuXbuGzp074/r16xgzZozZHhe1Wo25c+ca/i8sLES/fv3w+++/Izw8HGPGjIG3tzcOHDiAI0eOICgoCIcOHUKnTp0sfh36+xa1Wm2z/rUxIgI4dQo4cAAYOLD+7XU6wM9Puqf68mXeXkeO1xyuRZaLZLX0dCA6WvrF85tvgP/9MGIXM2YAGzYAS5cCCxbYb7/UqHg9mrdixQokJCQYlaF6QgiEhoaisLAQ+fn5RpG7dTodgoODERQUhFOnTll8PL4Prk1XpoOnuyfaprSFh5sH8p7PQ+jqULP3T6sValx66RK83L0aP6NkF9Zcjy43/RUg3Y+XlZWFxMREfPzxxygvL0evXr2wcuVKxMTE1Pv8wsJCXL9+HQCwa9cu7Nq1y2SbsLAwowqjv78/Dh06hJUrV2L79u3YsGEDKisrERoaijlz5mDBggUIDQ2122tsTqydS/r4cakRHRTERjSRpVguktVGj5YavOvXA7NmAT/8YL+pEdgjTS2UTCbD448/jqSkJLz++utYsWKFIe31119HcXFxvUEYqWlReilRoCuApkSDnm16GpbN0ZRooC3RIkgZ1LiZJKdwyR7p5qKl/MI4fDiwbx+wZQswdWr923/wATBtGjB0KJCR4fj8EbWUa7Ep4HvRyK5fl+6hyc+XonkvX26f/XbuDOTmApmZwJAh9tknNTpej7e8//77yMrKAgD8/PPP+P777zFo0CB07twZADB48GA8/vjjAKSe50GDBuHHH3/E6NGjcc899+D7779Heno6+vbti4yMDHh7e1t8bL4Prq+ssqzeHulAn0B0DeiKfbH72CPdhFlzPbrcPdLU9FjbI33smPSX90cTETlYq1bA229Ly3/7G/D99w3fZ1XVremvGGyMmomsrCxs3LgRGzduxPf/u04OHDhgWKdvZAOAUqlERkYG5s6di2PHjmHVqlX4/fffMW/ePOzdu9eqRjQ1DfrAY1duXMGeU3vwbOSzhrTq0by3xmxFaUUpyirLcPXGVRSVFjGydzPGhjQ1mLXBxhhojIioEU2cCEyeLM1TOHMmUF7esP3l5wNlZdKUDZzDkJqJDRs2QAhR62PDhg1G26tUKqxevRpnz55FWVmZIV6Fn5+fc14AOVT1wGPLspYhLjIOC4cuRORtkUbRvN1l7kg+mIwh64egSlQxsnczx4Y0NZi+R1qjsWz7ixeBnj2B3r0dliUiIqpuzRqgdWvgxx+BlSsbti/9/dG33QZ4uGSoFSIiu1N4KBA/MB7fzPgG7jJ3xA+Mx55pe7D2yFqTaN6M7N0ysCFNDVbX0G6dTuq4KCiQ/hYWAnv3Al9+CfTrJ6UTEZGDtWkDvPUW0L279CtmaemtgtnagpiBxoiohVJ6KeHl7oUAnwD4yf0g95Aj9UgqAn0CMbLTSKw9stZo2ZzUw6nwdPds5JyTI7AhTQ2mH9pds0e6pARITgbatgWioqSGdkoKEBoKdOoEBAdL6SUc4UJE5HiPPCLNU3jkiFQAt20rPawtiM+elf7y/mgiauE0JRpoSjQI9g02RPOuvlzbc7QlFt4PSS6NY7Kowcz1SOt0Ut0sKUn6f8MGIDVVmnJUT6O5lR4fD1SbipGIiOztxg2pV7qhBTF7pImIAEjzRqsVauQX56ONso3JsrnGdESrCKgV6kbPK9kfe6SpwcwFG/P0lBrOgDRX9MiRwFrzI1yQmiptT0REDlS9YK7JmoKYDWkiIgDmo3mbi+wN3Iru/fNTP+P6zeuM4t0MsEeaGsxcsDGN5tb/wcHSrXi1BSPTaKRGeBDnricicpzqBbO5NEsLYjakiYgA3IrmDQDLspZhx9QdJstrj6xFsG8wMmdkYs3hNYjdHgtNiQZqhRpx/eKQMDgBCg+F014D2U4mhBDOzkRzZc2E3k1ZTg7Qt69077N+atGyMunWO41G6pHOy5PSzdXh1Grg0iXAi3PXk4O0lGuxKeB74UTVC+aaLC2IhZB+PS0qAo4dk4KXUZPF69E18H1o+nRlOni6e6K4tBie7p6Qe8iNlnVlOrx56E0kZSaZPHdR1CLED4yH0ov3OLoCa65HDu2mBjMXbKy8HIiLk5avXAH27AGefbbmMyVxcQ2f1pSIiOpRvWCuydKCWKuVGtEA0L69/fJGRNSE1YzmXXNZ6aVE6hHzt9YwinfTxaHd1GD6od3FxUBlJeDuLsWrSZBGuiA1FXjlFSAzE5DJpOlMNRqpAR4XJ22n4IgWIiLHqlkw21IQ64d1BwYyQiQRkYX00b1rCvQJRLBvMApLChGoDGz8jFGDsCFNDaZvSAPSPNGtWknLCgXwzDNSINjLl6XtXnoJWLhQ6tRQqaQOEDaiiYgaiUIhFcoLFgAXLkj3RJeWWl4Q8/5oIiKr6aN76xvT3QO7Y8WIFRjZaSSu37wOuYccZZVlKCotgpe7F+QecsN91OWV5Rz27aI4tJsazMsL8PaWlmveevfTT0B4OPDCC9J2/v7S36Ag6S87NIiIGplSKRXAL7wgFdAHDlj+XDakiYispo/uDUiN6MzYTORczMHwTcMh95Aj+WAyhqwfgipRheSDyWib0tbwSD6YjJKKEie/AjKHPdJkFyoVcPOm8RRYAHD+vHSPtI7R/YmIXItaLRXQOTnA+PGWPYcNaSIiq1WP7h0ZEonUI6lYmrkU22K2mV3W05RokJQhBShjQDLXwx5psgtzAccAaeQgANx2W2PmhoiI6tWnj/Q3O9vy55w9K/3t0MH++SEiasYUHgrED4zHqIhRWHtkLQJ9AjGy00iTZXMYkMw1sSFNdqG/T7pmj7S+IR0S0rj5ISKievTtK/3NzpamtbIEe6SJiGym9FIaAo8F+wajQFdgsmyOpkQDbYnWbBo5DxvSZBe19UifPy/9ZUOaiMjF9O4NeHpKw7v1Pc31YUOaiKhB9IHH8ovz0UbZxmS5pkCfQAwMHQiVQmW6M3IqNqTJLurrkebQbiIiFyOXA716ScuWDO8uKQEuXZKW2ZAmIrKJPvDYlRtXsOfUHjwb+azRsl73wO7YFrMNec/nYWvMVpRWlKKssgxXb1xFUWkRyirLUKArQFllGXRlDEbkDGxIk11waDcRURNUfXh3ffS91kolEBDguDwRETVj+sBji6IWYVnWMsRFxmHh0IVGy5G3RRpF9naXuTOytwtiQ5rswtzQ7qoq4OJFaZkNaSIiF6RvSOfk1L9t9UBjMpnj8kRE1MzpA499M+MbuMvcTZb3TNuDtUfWYmnmUrw6+FVDNO/qy/r7qfWRvZdnLWfPdCNjQ5rswlyP9OXLQEWFVN8KDnZOvoiIqA76yN05OdKvn3Xh/dFERHaj9FLCy90LAT4B8JP7GS3LPeRIPZLKyN4ujg1psgtzPdL6QGNt2wIenLGciMj13HEH4O0NFBYCJ07UvS0b0kREjcLayN6BPoEI9Q9FYUlh42e2BWPzhuzCXI80748mInJxHh7A3XcDBw9KvdLdutW+LRvSRESNor7I3vrGdPfA7lgxYgVGdhqJAl0B/BX+KCwthMJDgaLSIni5e0HuIW/QsqZEA7VCjZKKEpv2q39+eWU5lF5K555YO2OPNNlFXQ1pRuwmInJh+uHd9QUcY0OaiKhRWBLZu3tgd0NAstDVoRi3ZRy0pVqkHEwxCkrWkOW2KW0RtSHK5v0294Bo7JEmu1CrgcBAoE2bW+s4hzQRURNgaeTu4mKgZ0+gUyfH54mIqAXTR/YGgGVZy7Bj6g6T5f639TcEHgOADRM2IPWw9P+2mG2GtIYsN3S/evqAaAAQPzC+2fRMy4QQwtmZaK4KCwuhUqmg1Wrh7+/v7Ow41KVLgK+vFGAsJAQoLwdWrACWLgWWLAEWLXJ2Dqkla0nXoqvje+GCjh8Hune/da+0uaAWxcVS5MiCAqmQr6iQpsGiJo3Xo2vg+0C10ZXp4OnuieLSYni6e0LuIUdxaTG83L3g5eGFtiltoSnRINAnEHnP5yF0dSg83DzsstzQ/Zq7l1utUOPSS5fg5e7V+CfTQtZcjxzaTQ1WUgL84x9AaCjQsaMUXCw5GXjhBaluxqHdREQurEsXwN8fuHkT+O030/SSEuBvf5MK+U6dpGkYkpOl9URE5DC1Rfb2lfsaApIBqDUoWUOWG7pfczQlGmhLtGbTmiIO7aYG0emk+lRS0q11Go30f1UVsHw5IJc7LXtERFQfNzfg3nuBffuk4d133nkrra5CHgDi49kzTUTkBPqAZJoSTa1ByRqy3ND91mxMB/oEomtAV6gUKuecMAdgjzQ1iKcnkJpqPm3tWmDUKKB9+8bNExERWUl/n3ROjvH6ugr51FQpnYiIGp0+IBmAWoOSNWS5ofvV6x7YHdtitiHv+TxsjdmK0opSlFWWoUBXgLLKMhSWFqKssgxXb1xFUWmRUZquTOeUc2sp9khTg2g0xnNH10y7fJlDu4mIXF5tkbvrK+S1WiAoyIEZIyIic6oHJEs9nIpX9r6CzBmZkEFWa4Aya5fXHlnboP2m56Zjx9QdSD2SaliffDAZa4+sRbBvMDJnZGLN4TVIy00zStNPmRXXLw4JgxOg8FA4/HzagsHGHKglBI8oK5PuiTZXz1KrgT//BHx8pBg1RM7SEq7FpoLvhYvKy5OCXHh6AkVFt+7Jqa+Qv3QJ8HLdoDFUN16ProHvAzWEPiCZtkQLlUJlmO+5ZoAyW5cbsl8ASDmYgqTMJGyL2YacizmGaN7V/6+ZVt2iqEWNGumbwcao0ZSXA3Fx5tOefRb45hs2oomIXF5YmDSHYXk58NNPt9YfPy4V5ubExUnbExGR0+gDkgUpg+Dl7gV/ub/ZAGW2Ljdkv3IPOVKPpCLQJxAjO43E2iNrAcDo/5ppNaUeTjU0yl0NG9LUIEolkJAgTW+lVkvr1Gpg2TIpavcXXzgzd0REZBGZTBreHRgI5OZK6/bsAWJipAZzzUJ+0SKp8GegMSIiqoU+sril0cBrCvQJRKh/KApLChs34xZy2YZ0dnY2xo0bB7VaDaVSif79++OTTz6x6LlCCOzcuRNPPfUU7rzzTqhUKvj4+KB3795YtmwZSuqYsqOqqgrr1q3D4MGDoVar4ePjg65du2LGjBkoKiqy18trVhQKKXDrpUvSFKNnzkiN6MJCYPVqKegrETUcy0VyqJUrpSHegwYBpaXSsG4hpKBi1Qv5S5ek/xWuec8aERG5Bn1k8erRvAHUGulbr3qAsp2P7ITcQ24SkKy25cYMYuaSDel9+/Zh0KBByMrKwuTJkzFnzhzk5+cjJiYGq1atqvf5paWlGDduHNavX4+QkBDMnj0bs2bNws2bN7FgwQIMHToUN27cMPu8CRMmYNasWSgqKkJsbCyee+453Hvvvfjqq6+g1Tafec/sTamUbpPz9ZWmG23XTrrd7rbbON0okT2wXCSHKikBPvtMmiu6QwdpruhvvwWysoAFC24V8kFB0l/2RBMRUT30kcUtjQYOSI3ozNhM5FzMwfBNwyH3kCP5YDKGrB+CKlFV53LblLaI2hAFbakWKQdTTNL0j+SDySipsEPjRLiY8vJyERERIeRyuTh69KhhvUajEV27dhVeXl4iLy+vzn2UlZWJpUuXimvXrpmsHz9+vAAgkpOTTZ43d+5cAUCsWLHCJK2yslJUVlZa9Vq0Wq0AILRarVXPa6qKi4VYtEgIqQvD+LFokZRO5AxN/VpkuUgOxcK7xeL16Br4PlBzdrP8pli0b5GIfC9SFBQXiIVfLxTqFWrRfW13UaArEK99/ZpR2o7jO8TCrxcKLIbYdmybVcv1pVV/LNq3SBSXmn6/WXM9ulxDOi0tTQAQM2bMMEnbsGGDACCWLFli8/4PHjwoAIj777/faP2ff/4pPDw8xJAhQ2zed00trWAsLRVCrTZfF1OrpXQiZ2jq1yLLRXIoFt4tFq9H18D3gZq74tJiUVpRKq7qrorCkkJRWlEqCooLRGlFqdCWaA1pRSVForSiVKhXqEVgcqAoLi22eBmLUWdazYd6hVqUVph+v1lzPbrcPNL79+8HAIwePdokLTo6GgCQkZFh8/49PaWobx4exi/9s88+Q0VFBR5++GEUFRXhyy+/xNmzZ9G2bVtER0fjNk6GXC9ON0rkGCwXyaFYeBMRkQPpp64K8AkwrAtSSt8rXu5eRmn6wGM92/S0ahkwDmJWM60mTYkG2hKtIR+2cLmG9IkTJwAAXbp0MUkLDg6Gr6+vYRtbrFu3DoBphfS7774DAGg0GnTr1g0XL140pHl5eWHFihV44YUX6tx3aWkpSktLDf8XFrpmhDlHUaulR23TjapUjZsfouaC5SI5FAtvIiJyEeYClFmyrCnR1Jlm7jgqRcO+31wu2Jg+cI2qli9uf39/m4Pb7Ny5E++88w569OiBWbNmGaUVFBQAAJYsWYLevXvj119/RWFhIXbs2IHAwEC8+OKL2LlzZ537X758OVQqleHRvn17m/LZVNU1pzSnGyWyHctFcigW3kRE5CLMBSizZBmoO4hZTXH94lBe2bDvN5frkXaU7OxsxMTEQKVS4dNPP4VcLjdKr6qqAgC0adMGW7duhY+PDwDg/vvvx/vvv49x48Zh1apVGDt2bK3HSEhIwIsvvmj4v7CwsEVVGvVzSgPSbCkajdSZERcnredMKUSuheUiAWDhTURELkPppUTCYOk7aVnWMuyYusPi5bVH1uKVva8gc0YmZJCZpGlKNFAr1IjrF4eEwQlQeDTs+00mhBAN2oOdPfzww/jss8+Qk5ODe++91yTdz88PrVq1wtmzZy3eZ05ODkaNGgUhBHbv3o2+ffvWetxp06Zh06ZNRmlVVVXw8fGBQqGAprb7yMwoLCyESqWCVquFv7+/xc9r6nQ6wNNTuq1OpZI6MzhTCjlTU78WWS5So2Dh3eLwenQNfB+ITOnKdPB090RxaTE83T0h95BbtKwt0UKlUKGkogQKD4XZtPLKcsN92zVZcz263NBu/T2A5u73y8/PR3Fxsdn7BGujryxWVVUhLS3NbGURALp16wYAUKvVJmlubm7w8/PDzZs3LT5uS8bpRonsi+UiNQoW3kRE5CKUXkp4uXshwCcAfnI/i5eDlEHwcveCv9y/1rTaGtHWcrmGdFRUFAAgPT3dJC0tLc1om/roK4uVlZXYtWsX+vXrV+u2w4cPBwD89ttvJmmXL1/GlStXEB4ebtFxiYjsieUiEZHryc7Oxrhx46BWq6FUKtG/f3988sknzs4WETUSl2tIjxgxAp06dcKWLVvwww8/GNZrtVosW7YMXl5eeOyxxwzrL168iN9//90k0M53332HUaNGoaKiAjt37sSAAQPqPG5UVBR69OiBvXv3Yvfu3Yb1Qgi8+uqrAIDJkyfb4RUSEVmH5SIRkWvZt28fBg0ahKysLEyePBlz5sxBfn4+YmJisGrVKmdnj4gagcvdIw1IhVN0dDQUCgWmTJkCPz8/bN26FWfOnEFKSgrmzZtn2DY2NhYbN27E+vXrERsbCwC4du0aOnfujOvXr2PMmDFme1zUajXmzp1rtO7w4cMYPnw4ysrK8NBDDyE0NBRZWVk4cuQI7rnnHmRmZkJpxVA33vNC5Bqaw7XIcpGI7I3Xo20qKirQvXt3/Pnnnzh06BDuuusuANKPm5GRkcjLy8Mff/yBsLAwi/bH94HIdVh1PQoXdfjwYTFmzBjh7+8vvL29RWRkpPjoo49Mtps+fboAINavX29Yd/r0aQGgzkdYWJjZ4/7yyy9i0qRJonXr1sLT01NERESIhIQEUVRUZPVr0Gq1AoDQarVWP5eI7Ke5XIssF4nInng92iYtLU0AEDNmzDBJ27BhgwAglixZYvH++D4QuQ5rrkeX7JFuLvgLI5Fr4LXoOvheELkOXo+2efXVV7F8+XJ8+OGHmDJlilFafn4+2rVrh+HDh2Pv3r1mn19aWorS0lLD//ppAfk+EDlfk47aTURERETkqvQzKJibLSE4OBi+vr5mZ1nQW758OVQqleHRvn17h+WViByHDWkiIiIiIgvpAzmqVCqz6f7+/ibBHqtLSEiAVqs1PM6dO+eQfBKRY3k4OwNERERERC2FXC6HXC53djaIqIHYI01EREREZCF9T3Rtvc76eyyJqHljQ5qIiIiIyEL6e6PN3Qedn5+P4uJis/dPE1HzwoY0EREREZGFoqKiAADp6ekmaWlpaUbbEFHzxYY0EREREZGFRowYgU6dOmHLli344YcfDOu1Wi2WLVsGLy8vPPbYY87LIBE1CgYbcyD9FN2FhYVOzglRy6a/BvXXJDkPy0Ui18Gy0TYeHh54//33ER0djaFDh2LKlCnw8/PD1q1bcebMGaSkpCA8PNzi/bFcJHId1pSLbEg7UFFREQBwfkAiF1FUVMQAME7GcpHI9bBstN6wYcOQlZWFxMREfPzxxygvL0evXr2wcuVKxMTEWLUvlotErseSclEm+DOkw1RVVeHChQvw8/ODTCYzSissLET79u1x7tw5+Pv7OymHTQ/Pm+1a8rkTQqCoqAghISFwc+MdLc5Us1xsyZ/LhuB5sx3P3S0sG10D64uOwXNnm5Z+3qwpF9kj7UBubm4IDQ2tcxt/f/8W+SFtKJ4327XUc8feFtdQW7nYUj+XDcXzZjueOwnLRudjfdGxeO5s05LPm6XlIn9+JCIiIiIiIrICG9JEREREREREVmBD2knkcjkSExMhl8udnZUmhefNdjx35Ir4ubQNz5vteO6oKeHn1XY8d7bhebMcg40RERERERERWYE90kRERERERERWYEOaiIiIiIiIyApsSBMRERERERFZgQ1pIiIiIiIiIiuwIW2l7OxsjBs3Dmq1GkqlEv3798cnn3xi1T5KS0uRlJSELl26QKFQICQkBLNnz0ZBQUGtz/n3v/+NyMhIKJVKtGrVCg888AC+//77hr6cRtWQcyeEwM6dO/HUU0/hzjvvhEqlgo+PD3r37o1ly5ahpKTE7PNkMlmtj9jYWDu+Osdp6Gduw4YNdZ6H/fv3O+S4RHXh58u88+fP480338To0aPRoUMHeHl5ITg4GJMmTcLhw4dNtl+8eHGd13deXl7jvwgnCg8Pr/Vc3HfffSbb2/J9TGQp1hltw/qi7VhnbFwezs5AU7Jv3z5ER0dDoVBgypQp8PPzw9atWxETE4Nz585h3rx59e6jqqoKEyZMQFpaGvr3749JkybhxIkTeP/997F3714cOnQIQUFBRs954403sHDhQoSFhWHOnDkoKirCRx99hIEDB2Lv3r0YNGiQo16y3TT03JWWlmLcuHGQy+W47777EB0djZKSEqSlpWHBggXYtm0b9u/fDx8fH5PnhoWFmS0E77rrLju9Osexx2dOb8KECWZfc3h4uEOPS1QTP1+1W7NmDVauXImIiAiMHj0aQUFBOHHiBLZt24Zt27Zhy5YtiImJMXne9OnTzV7LarXa8Zl2MSqVCnPnzjVZX/P82PJ9TGQp1hltw/qi7VhndAJBFikvLxcRERFCLpeLo0ePGtZrNBrRtWtX4eXlJfLy8urdz7p16wQAMXXqVFFVVWVY//bbbwsAYvbs2Ubb//HHH8LDw0N07dpVaDQaw/qjR48KuVwuevToISorKxv+Ah3IHueurKxMLF26VFy7ds1k/fjx4wUAkZycbPI8ACIqKsoeL6PR2eszt379egFArF+/vlGPS2QOP19127p1q9i/f7/J+szMTOHp6SlatWolSkpKDOsTExMFALFv375GzKXrCgsLE2FhYRZta+33MZGlWGe0DeuLtmOd0TnYkLZQWlqaACBmzJhhkrZhwwYBQCxZsqTe/QwYMEAAMPlQVVVViU6dOgmlUilu3LhhWJ+QkCAAiI0bN5rsKzY2VgAQGRkZNryixmOvc1ebgwcPCgDi/vvvN0lrygWjvc6btYWio98vatn4+bLd6NGjBQCRnZ1tWMeGtDFrGtLWfh8TWYp1Rtuwvmg71hmdg0O7LaS/J2D06NEmadHR0QCAjIyMOvdRUlKCw4cPo1u3bggLCzNKk8lkGDVqFN555x3k5ORgyJAhFh13w4YNyMjIwNChQ619SY3GHueuLp6engAADw/zH2eNRoN3330XV65cQUBAAAYNGoRevXrZfLzGYu/zdvToUVy9ehUVFRUIDw/HyJEj0bp1a4cfl6g6fr5sV1dZl5mZicOHD8PNzQ1dunTByJEj4evr29hZdAmlpaXYsGEDLly4AH9/f/Tt2xf9+vUz2saW72MiS7HOaBvWF23HOqNzsCFtoRMnTgAAunTpYpIWHBwMX19fwza1yc3NRVVVldl9VN/3iRMnDIXiiRMn4Ovri+Dg4Dq3d2X2OHd1WbduHQDzFzEA/Pjjj3jyySeN1o0ZMwYbN25EmzZtbD6uo9n7vKWmphr97+3tjcTERMyfP9+hxyWqjp8v25w9exZ79uxBu3btzFbsEhMTjf5Xq9V466238NhjjzVWFl1Gfn4+ZsyYYbSub9+++PDDDxEREQHAtu9jIkuxzmgb1hdtxzqjczBqt4W0Wi0AKYiJOf7+/oZtGrKP6tvpl63Z3hXZ49zVZufOnXjnnXfQo0cPzJo1yyR93rx5OHjwIK5cuYLCwkIcPHgQY8eOxa5du/DAAw+gsrLSpuM2Bnudt44dO2LNmjX4448/cOPGDfz555/YtGkTAgIC8Morr2DNmjUOOS6ROfx8Wa+8vBzTpk1DaWkpVq5cCXd3d0Na7969sW7dOpw6dQo3b97E6dOnsWbNGkOk2S+//NKJOW98M2bMwN69e3Hp0iXodDocPXoU06ZNQ3Z2NkaMGIGioiIAtn0fE1mKdUbbsL5oO9YZnYMNaWqysrOzERMTA5VKhU8//RRyudxkm5SUFAwYMACtW7eGn58fBgwYgB07diAqKgrZ2dnYvn27E3LeuKKiovDss8+iS5cu8Pb2xm233YZp06YhLS0NCoUCixcvRkVFhbOzSURmVFVVITY2FpmZmXjiiScwbdo0o/QHH3wQM2bMQMeOHaFQKBAeHo5nn30Wn376KQBg4cKFzsi20yQmJmL48OFo06YNfHx8cNddd2HTpk2YNm0azpw5g/fee8/ZWSSiRsb6ouVYZ7QOG9IW0v/SUtuvKoWFhbX+GmPNPqpvp1+2ZntXZI9zV1NOTg5Gjx4NNzc3pKWl4Y477rD4uW5ubnjiiScAAAcOHLDquI3JEeetujvuuAODBw/GtWvXcOzYsUY7LrVs/HxZrqqqCjNnzsSWLVvw6KOP4p///KfFzx0xYgQiIiLw888/G74rWjL9cE19mW/L9zGRpVhntA3ri7ZjndE52JC2UF33luTn56O4uLjW+1j0OnXqBDc3t1rvFTB3n0GXLl1QXFyM/Px8i7Z3RfY4d9Xl5ORg1KhRqKqqQlpaGvr27Wt1ngIDAwEAOp3O6uc2FnufN3PMnYfGOC61XPx8WaaqqgozZszAxo0bMXXqVGzYsAFubtZ9Zeuv7xs3bjgii01KzbLOlu9jIkuxzmgb1hdtxzqjc7AhbaGoqCgAQHp6uklaWlqa0Ta18fb2RmRkJI4fP44zZ84YpQkhsHv3biiVSvTp08eux3U2e74GfaFYWVmJXbt2mURitdThw4cBmJ9Y3lU4+r2vrKxETk4OABhFBG0OnzlyXfx81U/fiN60aRNiYmKwefNmo/uiLaHT6fDrr79CqVQaKj8tWc0y35bvYyJLsc5oG9YXbcc6o5M4efqtJqO8vFx06tSpzgnHT58+bVh/4cIFcezYMaHRaIz2s27dOgFATJ06VVRVVRnWv/322wKAmD17ttH2x48fFx4eHqJr165G+zp69KiQy+WiR48eorKy0r4v1s7sde5ycnKEWq0Wvr6+Iisrq97j/vTTT6KsrMxk/YEDB4SPj4/w9PQUJ0+etPl1OZo9z1tNFRUV4qWXXhIAxLBhwxp0XCJr8PNVt8rKSjF9+nQBQDz88MOivLy81m0LCwvF8ePHTdbfuHFDTJ06tda5PZurY8eOCZ1OZ3Z9cHCwyRy61n4fE1mKdUbbsL5oO9YZnYMNaSt8/fXXwtPTU/j5+YknnnhCvPjiiyIsLEwAECkpKUbb6itCNSc0r6ysFNHR0QKA6N+/v5g/f76YNGmSkMlkomPHjqKgoMDkuEuXLhUARFhYmHjxxRfFE088Ifz8/IRcLreogHAFDT13V69eFa1atRIAxJgxY0RiYqLJY/Xq1Sb7CQwMFBMnThTPPfecePHFF0V0dLSQyWTCzc1NvP32243wyhvGHp85AOLOO+8Ujz76qJg/f7544oknRNeuXQUAERoaKnJzcxt0XCJr8fNVu8TERAFA+Pr6igULFpgt6/SVldOnTwuZTCYiIyPF9OnTxfz580VsbKwIDQ0VAESvXr3ElStXnPuCGlFiYqLw8/MT999/v3j66afFyy+/LCZMmCA8PT0FAJGQkGC0vS3fx0SWYp3RNqwv2o51xsbHhrSVDh8+LMaMGSP8/f2Ft7e3iIyMFB999JHJdrV9QIUQoqSkRCxevFhEREQILy8vERwcLB5//HGRn59f63E/+OAD0adPH+Ht7S1UKpUYN26c+O677+z50hyuIefu9OnTAkCdj7CwMKP9fP7552LChAmiY8eOQqlUCk9PT9G+fXsxdepUcfjwYQe/Wvtp6Gdu3rx5YtCgQaJt27bC09NTKJVK0bt3b7Fw4UJx7dq1Bh+XyBb8fJmnv47reuivca1WK5555hnRt29fERQUJDw8PISfn5+IjIwUycnJ4saNG859MY1s//79YvLkyaJLly7C399feHh4iODgYDFhwgSRlpZm9jm2fB8TWYp1Rtuwvmg71hkbl0wIIRoyNJyIiIiIiIioJWGwMSIiIiIiIiIrsCFNREREREREZAU2pImIiIiIiIiswIY0ERERERERkRXYkCYiIiIiIiKyAhvSRERERERERFZgQ5qIiIiIiIjICmxIExEREREREVmBDWkiIiIiIiIiK7Ah3ULt378fMpkMixcvdnZWmoUNGzZAJpNhw4YNzs5KnRrjfQ8PD0d4eLjF2zeVc0fkKLGxsZDJZMjLy3N2VuwiPT0dgwYNQqtWrSCTyTBx4kS77fu+++6DTCaz2/6IqH6sM9pXU6n3sM5YPzakm7C8vDzIZDKjh4+PD0JCQjBixAgsWrQIubm5Djl2S6zMyGQy3Hfffc7OBhHVonqZGB0dbXabQ4cOQSaTITY2tnEz10Lk5eVhwoQJOHXqFGbMmIHExERMmTLF2dmyGct9ai5YZ2xcLDtaBg9nZ4AaLiIiAo8++igAoLS0FAUFBThy5Ahef/11LFu2DPHx8XjjjTeMCrHIyEgcO3YMgYGBzso2EZHDpKen4+uvv8bw4cOdnZUWZc+ePSgpKcGqVavwyCOPODs7RFQD64xE9sOGdDPQuXNns8MusrKyMG3aNCxfvhzu7u54/fXXDWk+Pj7o3r17I+aSiKhxhIeH4+zZs5g/fz6OHDnS4npCnOnChQsAgJCQECfnhIjMYZ2RyH44tLsZGzx4MHbt2gW5XI7k5GScO3fOkFbbfQ8nTpzAjBkz0LFjR8jlcgQEBKB3796YO3cuhBAApOEqGRkZhmX9Qz9UUj98KDY2FidPnsSDDz6IVq1aQalUYuTIkfjxxx9N8rpv3z7MnDkT3bp1g6+vL3x9fdGnTx+8++67tb6+U6dOYfbs2Ya8tmnTBvfdd5/Z+yYyMzMxfvx4BAYGQi6Xo0uXLli4cCFu3LhR73nUnysAyMjIMHrN5o6Vnp6OgQMHwsfHB61bt8b06dNx9epVo22qn6Njx47hwQcfROvWrU3uk9y+fTtGjBiBVq1aQaFQoGfPnkhJSUFlZaXR/qqqqvD+++8jMjISAQEB8Pb2RmhoKMaPH4/9+/ebfV05OTkYNWoU/Pz8oFKp8OCDD9Z6j+aBAwdw//33IyAgAAqFAt27d0diYqJF50/v2rVrmDNnDtq2bQsfHx/07dsXX3zxhcXPJ7JUt27dMG3aNOTk5OCTTz6x6Dl13adlblji4sWLIZPJsH//fqxfvx69evWCt7c3OnbsiNTUVACAEAKrVq1Ct27doFAo0KVLF2zatKnWPFRVVSE5ORldunSBQqFAx44dkZSUhPLycrPbW1quVS/vDx48iNGjR0OtVlv8A8Mvv/yCyZMno02bNpDL5ejYsSPmzp1rVK7py7TExEQAwLBhwwzlZG1lUHVlZWVYvXo1+vbtCz8/P/j6+uL222/Hiy++iOvXr9f53OrvRU213U+3b98+jB07FiEhIZDL5Wjbti2GDBli+M6xpty3tJyunpf//Oc/GDRoEPz8/Iw+d1u3bkVUVBTatGkDhUKBkJAQjBw5Elu3bq33HBI1hLPqjACwbt06TJgwAeHh4VAoFAgICEB0dDT27dtnks/qebGmHsM64y2sM9oPe6SbuW7dumHy5MnYvHkztm3bhueee67WbS9cuIDIyEjodDrcf//9iImJgU6nw4kTJ/CPf/wDKSkp8PDwQGJiIjZs2IAzZ84YKk0AcNdddxntLy8vD/3798cdd9yBmTNnIjc3F9u3b8ewYcNw7NgxtG3b1rDtypUrcfLkSfTv3x8PPvggNBoNdu3ahSeffBLHjx/HqlWrjPadlZWF+++/H0VFRYiOjsaUKVNw/fp1HD16FG+99ZZRAf3222/jmWeegVqtxvjx49GmTRvk5OTgjTfewL59+7Bv3z54eXnVel7Cw8ORmJiIJUuWICwszGjfNV/zl19+if/+978YP348Bg4ciMzMTGzatAm5ubnIysoy2bf+Nffq1QuxsbG4evWqIS8JCQlYsWIFbrvtNjz00ENQqVT45ptv8PLLL+Pw4cP49NNPDftJSEhAcnIyIiIi8Mgjj8DPzw/nz59HVlYW9uzZY3KfTnZ2NpKTkzFs2DA8+eSTOHr0KLZt24aff/4Zv/zyCxQKhWHbTz/9FFOnToVcLkdMTAzatGmD9PR0JCUlIS0tDfv37zfa3pwbN27gvvvuw88//4wBAwYgKioK586dQ0xMDEaPHl3nc4lskZSUhI8++ggLFy7EQw89BE9PT4cc580338T+/fsxYcIEDB8+HFu3bsXzzz8PHx8fHD16FFu3bsUDDzyAESNG4KOPPsL06dMRHh6OoUOHmuxr7ty5OHDgACZPngxfX1/85z//QWJiIn766Sd89tlnRtvaUq4dPHgQy5Ytw7BhwzB79mycPXu23teXlZWF6OholJWV4a9//SvCw8Px7bff4q233sKOHTtw6NAhBAYGQq1WIzExEfv370dGRobhdQKoN5DMzZs3MWrUKBw4cABdunTBjBkzIJfLceLECbzzzjt47LHH0KpVq3rzail9Ga1WqzFhwgS0a9cOly9fxo8//ojNmzdj9uzZFpf71pTTep9++inS09PxwAMP4Omnn0ZhYSEA6T19+umn0a5dO0NFOT8/H0eOHMEXX3yBSZMm2e0cEJnjrDrjM888g969e2PkyJEICgrC+fPnsW3bNowcORKff/45JkyYYHJ8a+oxrDOyzugwgpqs06dPCwAiOjq6zu3+9a9/CQBi2rRphnX79u0TAERiYqJhXWpqqgAg3nzzTZN9XL161ej/qKgoUdvHR58vAGLFihVGaQsXLhQAxPLly43Wnzp1ymQ/5eXlYtSoUcLd3V2cOXPGsL6kpETcdtttws3NTezcudPkeefOnTMs//rrr8LDw0P07t1bXLlyxWi75cuXCwAiJSXF7OuoCYCIiooym7Z+/XoBQHh4eIisrCzD+oqKCnHfffcJAOLbb781rK9+jhYtWmSyv/T0dMN7W1xcbFhfVVUl5syZIwCIzz77zLA+ICBAhISECJ1OZ7Kv6u+d/n0HID766COj7aZNmyYAiA8//NCwTqvVCpVKJeRyufjxxx8N6ysrK0VMTIwAIJKSkoz2ExYWJsLCwozWJSYmCgDiiSeeMFq/a9cuQ37Wr19vkncia9QsE1966SUBQKxZs8awzbfffisAiOnTpxs919znVs9ceaf/TAcEBIjc3FzD+rNnzwovLy+hUqlE165dRUFBgSHt0KFDAoAYP3680b6mT58uAIigoCCj8qu0tFQMHTrU5Hq3tlyrft2vW7fO7Gs0p7KyUkRERAgAYteuXUZpL7/8sgAgZs6cafa87Nu3z+LjzJs3z/AdVVFRYZSm0WhEUVGR4f+63gtzx9SXzdXLl4ceekgAED/88IPJ9jXPZ13lvrXltD4vbm5uYvfu3Sb7u+eee4SXl5e4dOlSvfkispar1hmFMF8HvHDhgggJCRFdunQxWm9tPYZ1RtYZHYlDu1sA/b1qV65csWh7b29vk3UBAQFWH7djx454+eWXjdbNmjULgPTrVs1ta/Lw8MCcOXNQWVlpNLxn+/btOH/+PB599FGMGTPG5HmhoaGG5XfeeQcVFRVYs2YNWrdubbRdfHw8goKC8OGHH1r92mrzyCOPYNCgQYb/3d3dMX36dACmrxkAgoODsWDBApP1a9euBQC8++67UCqVhvUymQwrVqyATCYzybeXlxfc3d1N9mXuvRs6dChiYmKM1s2cOdMkn9u3b4dWq8XMmTNx5513Gta7ubkhOTkZHh4eFk1BsGnTJnh5eSEpKclofXR0NEaMGFHv84ls8eqrr0KtVuP1119HcXGxQ47x/PPPo1OnTob/27dvj8GDB0Or1WLBggUICgoypPXr1w+dOnUye3uLfl/Vyy8vLy+88cYbAGB0ndlart1zzz2YMWOGxa/twIEDyM3NxdixY02ioC9atAgBAQHYsmULysrKLN5nTRUVFXj33XehUqnw1ltvmZRhKpUKvr6+Nu+/Lua+62qez7rYUk4DwIQJEzBy5Eiz+/T09DQ7esKafBE1hDPqjObqgO3atcOkSZNw4sQJnDlzxiTdmnoM64ysMzoKh3aTwfjx45GQkIBnnnkGe/fuxZgxYxAVFWVUSbTGXXfdBTc3499q9AWWRqMxWl9UVISUlBRs27YNubm50Ol0Run6ADYAcOTIEQCwaHjHoUOHAABpaWnYu3evSbqnpyd+//33+l+Mhe69916TdbW9ZgDo3bu32SFChw4dglKpxLp168wex9vb2yjfU6ZMwT/+8Q/07NkTU6ZMwbBhwzBgwACzX3DW5PPo0aMAYHYKhw4dOqBTp074448/UFRUBD8/P7PHKiwsxOnTp3H77bcjODjYJH3IkCFm3xuihmrVqhVeeeUVvPLKK0hJSXHIXJg1h+oBUgWwrrTDhw+b3deQIUNM1g0YMAAeHh6GaxGwvVzr27ev2ePWpq7rXx/HIj09HcePH0evXr2s2rfe77//jqKiIowcOdKuw7frMmXKFHz++efo378/HnnkEYwYMQJDhgyxOiKxteW0XmRkZK35io+PR8+ePfHII49g2LBhGDx4MPz9/a3KF1FjsGed8dSpU1i+fDm+/vprnD9/HqWlpUbpFy5cQFhYmNE6S+sxrDOyzuhIbEi3APpGaPWeEXPCw8Nx6NAhLF68GF999ZUhSE/37t2RlJSEhx9+2Krjmvvy9/CQPnLVAx+UlZXhvvvuw/fff4+7774b06ZNQ+vWreHh4YG8vDxs3LjRqFDVarUAgNtuu63ePFy7dg0ADL06jmbpa9arfp94ddeuXUNFRQWWLFlS67Gq/9jw1ltvoWPHjli/fj2WLl2KpUuXQqFQYPLkyVi1apVJBdHSfOrv3astn+3atcMff/yBwsLCOgtFAGjTpo3Z9Nr2TWQPcXFxWLt2LVatWoWnn37a7vuv61qqLa2iosLsvsxdC+7u7mjdurWh3ANsL9esvdYsuf6rb2cLa8pze3n44Yexbds2/L//9//wz3/+E3//+98hk8kwbNgwrFq1yuwPIOZYW07r1XY+X3rpJbRu3Rpvv/02Vq1aZbjH9P7778fq1avN9toR2Vtj1xlPnjyJyMhIFBYWYtiwYRg/fjz8/f3h5uZmiLlQs2ENWF6PYZ1RwjqjY3Bodwugj8BnSW9Ez5498dlnn+HatWv49ttvsWjRIuTn5yMmJgYHDhxwSP62b9+O77//HrNmzcL333+Pt99+G0uXLsXixYvNDsNRq9UAgPPnz9e7b/3FX1hYCCFErQ9nqS1qrr+/P1q3bl1nnk+fPm3Y3sPDAy+99BJ+/fVXnD9/Hlu2bMGQIUOwadMm/N///Z/N+dOfv0uXLplNz8/PN9qurn0UFBSYTa9t30T24O3tjSVLlqC4uLjOSoabm1utDdzqjVhHMnctVFZW4urVq1CpVIZ1tpZr1k4DZo/rvz7WlOe10Y98Mvf+1fbeTZgwARkZGbh+/Tp27tyJxx9/HPv378eYMWPM9gSZY205rVfb+yCTyTBz5kxkZ2fj8uXL+OKLL/DQQw9h+/bteOCBB8xWrInsrbHrjKtXr8b169exYcMG7N69G2+++SaSkpKwePFiu0y5xToj64yOxIZ0M/fHH3/gk08+gVwux4MPPmjx8zw9PdG/f38sWbIEqampEEJgx44dhnT9fRX2+GLPzc0FALNRGb/55huTdfphcenp6fXuu1+/fgBuDddpCDc3t0aryPTr1w9Xr17FiRMnrH5uSEgIpk6dil27dqFz587Ys2cPbt68aVM+7r77bgAwOx3CuXPnkJubi06dOtX6yyIgFYodO3bEyZMnDYVodebeYyJ7mj59Ou644w689957OHnypNltWrVqhYKCApPGmD4KbWMwdy18++23qKioMFyLgH3LtbrUdf3rdDrk5OTA29sb3bp1s/kY3bp1g7+/P7Kzs+ud5qo2+iHh5irK1YfEm+Pn54cxY8bg3XffRWxsLC5dumQ09L6ucr8h5XR9WrdujYkTJ+Ljjz/G8OHD8dtvv9X62SWyF2fUGWurAwoh7NKBwzpj3VhnbBg2pJuxAwcOIDo6GqWlpXjllVfqHdby3XffmR2ip//1p3q4en0wgurzDNpKf99LzVD/GRkZeO+990y2/8tf/oLQ0FB88MEHSEtLM0mvXpl6+umn4eHhgeeee87sVC8ajabeipZeQEAA/vzzT4u2bai4uDgAUjCHmvMJAtKveseOHQMAlJaW4uDBgybb6HQ6FBcXw9PT0+RedUtNmDABKpUK69evx6+//mpYL4TA/PnzUVFRYTS1Q22mTZuGsrIyLFq0yGh9enq6S93rQs2Tu7s7li1bhvLy8lrvk+7bty/Ky8vx73//27BOCIGEhASzw3Md4a233jIqY8rKygyBZapfZ/Ys1+oyaNAgREREYOfOndizZ49R2tKlS3H16lVMnTq1zqlg6uPh4YEnn3wSWq0Wzz//vEnFU6vV1hsoTt9ztmnTJlRVVRnWf/vtt0bvp15mZqbZCq6+B6Tmd11t5b415bQl9u/fb9LbVV5ebhhuWt+UMUQN4aw6Y211wBUrVuCXX36x7kWYwToj64yOxHukm4GTJ08aKodlZWUoKCjAkSNH8PPPP8Pd3R0LFy40mruvNps3b8Y777yDoUOHIiIiAv7+/vjtt9/w1VdfISAgwCja6/Dhw/HZZ59h0qRJGDt2LBQKBXr37o3x48dbnf/x48cjPDwcycnJ+OWXX9CzZ08cP34cO3bswIMPPmgyf6pcLscnn3yCMWPGYOzYsRgzZgx69+6NwsJC/PDDD7hx44ahoOvZsyf+8Y9/4KmnnkK3bt0wbtw4REREoKioCKdOnUJGRgZiY2Pxz3/+s958Dh8+HJ988gkmTpyIu+++G+7u7vjLX/5iFJnQXsaMGYPXXnsNr7/+Ojp37owxY8YgLCwMV69excmTJ/HNN99g6dKl6NGjB27evIlBgwaha9euuPfee9GhQwcUFxdjx44dyM/Px0svvQS5XG5TPvz9/fHee+9h6tSp6NevH2JiYhAUFIQ9e/bgu+++Q2RkpElkdnPi4+Px+eef47333sOvv/6KoUOH4ty5c/jkk09w//3347///a9N+SOy1F/+8hcMHjzY7NycAPDss89i/fr1ePzxx7F7924EBQXhm2++gUajQe/evWuNtG1P/fv3R+/evRETEwOlUon//Oc/OH78OB566CGjOYTtWa7Vxc3NDRs2bEB0dDTGjRuHhx9+GGFhYfj222+xf/9+REREYMWKFQ192UhKSsKhQ4ewefNmHDp0CGPHjoVcLsepU6ewa9cuZGVl1Xnfcv/+/TFo0CB8/fXXGDBgAIYOHYozZ85g+/btGD9+PL744guj7ePi4nDhwgUMHjwY4eHhkMlkyMrKwpEjR9C/f38MHjzYsG1d5b415bQlJk6cCH9/f/Tv3x9hYWEoLy/H7t278dtvv+Gvf/2rSbAlIlu4Wp1xzpw5WL9+PSZNmoTJkyejdevWOHToEL7//nu71A9YZ2Sd0aHsPqEWNZrq88rpH97e3qJdu3Zi2LBh4rXXXhMnT540+1xzcwIeOnRIPPnkk6Jnz55CrVYLb29v0aVLF/Hss88azeMshDTHc3x8vOjQoYPw8PAwmpdVn6+a87TqwczceqdOnRKTJk0SQUFBwsfHR/Tt21d89NFHZvOpd/LkSTFr1iwRGhoqPD09RZs2bcR9990nNm3aZLLtkSNHxJQpU0RISIjw9PQUgYGB4p577hGvvPKKOHbsWK3nuLqLFy+KyZMni8DAQOHm5mY0j525uUr1zL2G+s6R3u7du8X48eNFUFCQ8PT0FMHBwWLAgAHi9ddfF2fPnhVCCFFWViZWrlwpRo8eLUJDQ4WXl5do27atGDp0qNiyZYuoqqqqMy+W5CkzM1OMHTtWqNVq4eXlJbp27Spee+01o/kK9Wqbj/fq1ati9uzZIigoSCgUCnHvvfeKzz//vM5zR2SN+uZJPXDggKGsNPc5//rrr0W/fv2EXC4XrVu3FtOmTROXLl2yeu5i/bzQp0+fNkkzty/99rm5uWLFihWic+fOwsvLS4SFhYnFixeL0tJSs6/H0nKtruveEj/99JP461//KgIDA4Wnp6cICwsTzz//vLh8+bLJtrbMIy2ENNdrSkqKuOuuu4S3t7fw9fUVt99+u5g3b564fv26Ybva5qO9cuWKeOyxx0RAQIDw9vYW/fv3F2lpaWbLl48++khMnjxZRERECB8fH6FSqUTv3r3FypUrjeasFqLucl/PknJaiLq/J4QQ4h//+If4y1/+IsLCwoRCoRCtW7cWkZGR4u233xZlZWVWnU+imly1zqjf/6BBg4Sfn59Qq9Vi3Lhx4rvvvjNbnthaj2GdkXVGR5AJ4cS75omIiIiIiIiaGN4jTURERERERGQFNqSJiIiIiIiIrMCGNBEREREREZEV2JAmIiIiIiIisgIb0kRERERERERWYEOaiIiIiIiIyApsSBMRERERERFZgQ1pIiIiIiIiIiuwIU1ERERERERkBTakiYiIiIiIiKzAhjQRERERERGRFdiQJiIiIiIiIrLC/wfrXwFnkPZESAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 1000x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Running experiment to determine the distance threshold with a good trade-off\n",
-    "df = ClusterUtils.run_clustering(aligner, metric='levenshtein', experiment_mode=True) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "radical-vertical",
-   "metadata": {},
-   "source": [
-    "We can inspect structures of distance thresholds that give local optimals of the mean silhouette score."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "id": "patent-ratio",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Distance threshold</th>\n",
-       "      <th>Mean Silhouette Score</th>\n",
-       "      <th>Number of clusters</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>0.67</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65</th>\n",
-       "      <td>0.66</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>64</th>\n",
-       "      <td>0.65</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>0.64</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>0.63</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>61</th>\n",
-       "      <td>0.62</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60</th>\n",
-       "      <td>0.61</td>\n",
-       "      <td>0.371279</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>59</th>\n",
-       "      <td>0.60</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>58</th>\n",
-       "      <td>0.59</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>57</th>\n",
-       "      <td>0.58</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>56</th>\n",
-       "      <td>0.57</td>\n",
-       "      <td>0.395886</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55</th>\n",
-       "      <td>0.56</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>54</th>\n",
-       "      <td>0.55</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>53</th>\n",
-       "      <td>0.54</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>52</th>\n",
-       "      <td>0.53</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>0.52</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>0.51</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>48</th>\n",
-       "      <td>0.49</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47</th>\n",
-       "      <td>0.48</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>46</th>\n",
-       "      <td>0.47</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>0.46</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>44</th>\n",
-       "      <td>0.45</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>0.44</td>\n",
-       "      <td>0.391956</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>0.40</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>0.39</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>0.38</td>\n",
-       "      <td>0.374176</td>\n",
-       "      <td>6.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>0.37</td>\n",
-       "      <td>0.374944</td>\n",
-       "      <td>7.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.10</td>\n",
-       "      <td>0.384710</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.398382</td>\n",
-       "      <td>65.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.08</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.07</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.06</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.03</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.01</td>\n",
-       "      <td>0.415730</td>\n",
-       "      <td>68.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Distance threshold  Mean Silhouette Score  Number of clusters\n",
-       "66                0.67               0.371279                 2.0\n",
-       "65                0.66               0.371279                 2.0\n",
-       "64                0.65               0.371279                 2.0\n",
-       "63                0.64               0.371279                 2.0\n",
-       "62                0.63               0.371279                 2.0\n",
-       "61                0.62               0.371279                 2.0\n",
-       "60                0.61               0.371279                 2.0\n",
-       "59                0.60               0.395886                 3.0\n",
-       "58                0.59               0.395886                 3.0\n",
-       "57                0.58               0.395886                 3.0\n",
-       "56                0.57               0.395886                 3.0\n",
-       "55                0.56               0.391956                 4.0\n",
-       "54                0.55               0.391956                 4.0\n",
-       "53                0.54               0.391956                 4.0\n",
-       "52                0.53               0.391956                 4.0\n",
-       "51                0.52               0.391956                 4.0\n",
-       "50                0.51               0.391956                 4.0\n",
-       "49                0.50               0.391956                 4.0\n",
-       "48                0.49               0.391956                 4.0\n",
-       "47                0.48               0.391956                 4.0\n",
-       "46                0.47               0.391956                 4.0\n",
-       "45                0.46               0.391956                 4.0\n",
-       "44                0.45               0.391956                 4.0\n",
-       "43                0.44               0.391956                 4.0\n",
-       "39                0.40               0.374176                 6.0\n",
-       "38                0.39               0.374176                 6.0\n",
-       "37                0.38               0.374176                 6.0\n",
-       "36                0.37               0.374944                 7.0\n",
-       "9                 0.10               0.384710                57.0\n",
-       "8                 0.09               0.398382                65.0\n",
-       "7                 0.08               0.415730                68.0\n",
-       "6                 0.07               0.415730                68.0\n",
-       "5                 0.06               0.415730                68.0\n",
-       "4                 0.05               0.415730                68.0\n",
-       "3                 0.04               0.415730                68.0\n",
-       "2                 0.03               0.415730                68.0\n",
-       "1                 0.02               0.415730                68.0\n",
-       "0                 0.01               0.415730                68.0"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df['Mean Silhouette Score'] > 0.37].sort_values('Distance threshold', ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "printable-atlanta",
-   "metadata": {},
-   "source": [
-    "If we select distance threshold 0.37 which gives a local optimal of 0.3749 silhouette_score with 7 clusters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "id": "necessary-alaska",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "compute distance matrix\n",
-      "using levenshtein distance metric\n",
-      "run agglomerative clustering |  0.37\n",
-      "silhouette_score:  0.37494418907841714\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.run_clustering(aligner, metric='levenshtein', DIST_THRESHOLD=0.37) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "czech-union",
-   "metadata": {},
-   "source": [
-    "Below visualizes all alignment paths in each cluster along with its number of genes "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "id": "alone-cathedral",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1200x600 with 8 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ClusterUtils.visualise_clusters(aligner,n_cols = 4, figsize= (10,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "surgical-window",
-   "metadata": {},
-   "source": [
-    "Below is the Levenshtein distance heat map of all genes ordered based on the above clustering structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "id": "scheduled-armstrong",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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u8/dV2F+UMf4on/SSZv/jyp9kT97cz17/SeWx3e1RO/HN9jk6FOUx5CSu0T6GDh+2d9A3suyrCnrSwpnD9MjG/frfDXt123mDNTDL/h2Mjk7mlSpr1qyRJF188cUdslmzZkmS1q5da7bR2tqq119/XSNGjOhwRYvL5dJFF12khx56SJs3b9Z5553X5b5xpQoAAAAA4JSWFB+r/zdjiHyBkL73wg7nCdBRD1+p4vV6VV9f3+710ac9HbVz505J0rBhHceyyc/Pl8fjOfaZzhQXFysYDIZt48NtO7XzUVypAgAAAAA45d04pUg/XF2sRzeXauEFwzSkk0Fre9I75Q36wuNvhs1G5Hk+VgPergr+qUfbW7x4cZef7lRXVyfpyO0+4aSlpR37TGe60saHP9dVFFUAAAAAAKe8xPhYffuCobr1mXd1z6odWn71+OM+z7L6Vi3fXBo2O39w9seqqNLTIn26U29DUQUAAAAA8LE3MCtZwQdmm5+55dxBuuXcQcf++5G54/XI3K4VV+ZN6q95k/r3WF/+03Xn6U5Hry7p7CqS+vp6ZWbaYzx1pY0Pf66rGFMFAAAAAAD0WtZ4JwcPHlRjY2OnY6UcNXjwYMXExHQ6Zoo1bouFogoAAAAAAOi1zj//fEnS888/3yFbuXJlu890JikpSZMnT9b27dtVUlLSLguFQlq1apVSUlI0caL9dMiPoqgCAAAAAAB6rZkzZ2rw4MF67LHHtHXr1mPv19XV6d5771VCQoKuu+66Y++Xl5dr27ZtHW71ufHGGyUdGc8lFPr3I6Ifeugh7d69W9dcc42Skhyelf4RFFUAAAAAAECvFRcXp6VLlyoYDGratGm68cYbdfvtt2vs2LHasWOH7r33Xg0cOPDY5xcsWKBRo0bp6aefbtfO5z//ec2aNUv/93//p7PPPlvf/va3deWVV+orX/mKBg0apO9///vd71u0Cwcgcs39ks28Jddl5mkzJ5h5wGH+Tu13RdMA+1F0rdn29K5gyMy9RfaAUz5PrD19TtDM64bYteXEGnv+8bXeqNp3EnAYu6vq7D5Rte9x2Iectl9TQbxDHl3/Ehy2b0JqgsP87f45cVo/sS9uMfO666aaudMx6E+yly+hwT5+Ehrs/V9yPkZifPY+3FJgT99YaO/EPo+9DnwOT7v02oeoYlN8Zt5SYC9fXIOdV52Tb+ZNBfbyOa0/p/b9SXb7QYdfej6PnQeSnfYhe/20eaI7B4ai/KXq89gNuGvt5XPqvzfDzp3Wb3yjnXeF3+EYcXvazDw9uTWq+VeW2h3ol2w/mtTrsJMmJdv9b2qzvycCDucwJ9nJTWZe5csy85R9dv+i5fQ9Eu0+drA1LboGmuzte7jV4SABPmTGjBlat26dFi1apCeeeEI+n09jxozR/fffrzlz5nSpjZiYGP31r3/Vfffdp0cffVQ//elPlZWVpS996Uv6/ve/r9zc3G73i6IKAAAAAADo9SZPnqznnnvO8XPLli3TsmXLwmZut1uLFi3SokWLeqRP3P4DAAAAAAAQAYoqAAAAAAAAEaCoAgAAAAAAEAGKKgAAAAAAABGgqAIAAAAAABABiioAAAAAAAAR4JHKwEnUnBdr5v3/Vmnm3sI0M0/cV2u3X2bXVf3ZyWYuSfWDk8w8f6PfzEMxLjN3WobQgAwzL3zRXsa6Ijt3l9aZeavD/LPft5c/eVetme+Zm2PmSYft9pNK7P477UNO28+p/y1F6Wbu1L/D0+zlb0u1t19iTcDME2razDyQZH9N1l031czTf/+qmWeNGm7m1ROz7ek3V5m50/aVpGC8fR4Kxjs2YWruYx/j0QomhMw8Kdnexi1ym7k/NejQA3v5kirs/rUUODTvwJdi5+5ae/7+VDuPTfGZee0oe/kTau39y0mMvfkU3xhV82rsH93fF93Vdt5SYO8/TXH2+u+KGL+9DYKNCWZun4WdufvbG+FAs/09kJPYZOYtzXb/1WTvY7EO68dJVbN9kCVW29s45Dq5f8NO22d/jzcOsNfv4f4eM49rstevv489/7zEKA9ioBfgShUAAAAAAIAIUFQBAAAAAACIAEUVAAAAAACACFBUAQAAAAAAiABFFQAAAAAAgAjw9B8AAAAAwMfe3upmDb73xXbvJcXHKCMpXqPyUnX2wEx9fmJ/Dclp/1SnNbsqdcGv2z+xLyUhVplJ8To9P1XThmTrugn91Tc9scM8l23ary8+sVX3XjpS375gWNh+LV65Xfes2qHHrjlTc8f3O/b+oB+8oJKalmP/nRAbo7TEOA3KStbE/hm6enxfnTso/JMAn33voJ7fUaE3D9Rp64F6NfsCuuui4Vo8a4S9ktDjKKoAAAAAAE4ZQ7KTdc2ZhZIkbyCow41ebdpXq++/sFNLXtqlO6YP0Q8+MVIuV/tHQk8oTNdlo/pIkpp9AR1q8GrD3mqt2F6he57fofs/eZq+du6gHu1rbIxLd848UozxB0OqafHp3fJ6/ea1Ev3vhr2afVofLZs7TpnJ7R9//ZO1u7V2d5XSEuPUNz1Ruyrtx5Pj+KGoAgAAAAA4ZQzNSQl7xca6PVW67rE3dd9LuxQb49L3LhnZLp9QmBF2ur++e1DXP7lVX3/mXaUkxOqLkwf0WF/jYlxh51lS3azr//SWnn3/kD67bLNevHmqYmL+XQS655IRyk91a2hOip7YWqbP/fGNHusTuoeiCtCLBT7YYeYNU6eaeTA208xD8S4zT95Va+aS1HROspkn1tjTN/SPN3OnZWjqa5/GcjZW2x1Qupk2D4pu/skVATN32sYpZTlmHi2n9e/U/5OtqcDeh7M21Zq5P9vef53WT0uuw/xHDTdzp+2vifYx7sSp/5KUVG4vQ0pZyMxjfPbwbC197OmPt8yUZvsD5fY5wElTgZ0nVdjLn1Rurz+n9r1ZdvuuoL194xrs3Jts70MJua329AluM3fi8tn986dENzygLzO6c1wwPtbMAyl2+wlpbVHNX5ICfnsdxJV2vF3hw7xN0f1zYNTo/Wa+q9L+Hgvm2NvYSbzDPui0fqLVlhZd+6kHju/3bF2RvX39fbxmfkZmmZkX9+lr5nl59WZ+ZlqJmfe0cwdl67kbpmjcT9bqR6uLdeOUIvXPSHKc7vLT85WeOFEX/PpVffsfH2jO2L5KcR/ff0oXZSXrb1+crIk/fVlrd1fpz2+X66px/17f5w0Of1sQTrwTWlTx+XwKBHr3D3R8fMXGxio+3vkfEAAAAAD+M43I8+iqsX316JZSPfPuwS7fzjN9aI7OG5SlV/ZU66VdlZo9Ov8491RKio/V7dOH6Pon39KTbx1oV1RB73FCiir19fWqrKyU12tXQoFoud1u5eTkKC0t7WR3BQAAAEAvdP6QbD26pVSb99d2e7pX9lRr0/7aDkWVF3dWqtUXDDvd2uKqSLuq6UOOXJGyqZt9xYlz3Isq9fX1OnDggDwej3JychQfH99hQCAgWqFQSD6fT3V1dTpw4IAkUVgBAAAAPsa8Xm+HP8y73W653dHdWtg37chtcZVN3bsFz5ruxZ2VenFnZVT96u480Tsc96JKZWWlPB6PCgsLKabguEpKSlJqaqpKS0tVWVlJUQUAAAD4GFuyZInuvvvudu8tWrRIixcvPjkdMnTlkco4NR3XoorP55PX61VOTg4FFZwQLpdL6enpOnDggHw+H2OsAAAAAB9TCxYs0Pz589u9F+1VKpJUVn9kgOPclASHT3YynSf6PnR7niknbp7onuNaVDk6KC3/sMWJdHR/CwQC7HsAAADAx1RP3OoTztExTib2z4houkndnC4aa07CPNE9x/cZY//CVSo4kdjfAAAAAISzo6JRT75VJndcjD4zputP8FlbXKlX9lQrz5OgC4aemMcZt/gC+snaYknS3PE8+ae3OqGPVAbQXp81h8286tqpZp6632fmwVi7wFRXZJ8C6opyzFySUspDZt6aEevYRjTa0uxlrB6fZeaJtdE95j2h3l5+J3UO27gt1WH+tfagZc1DM8zcaR9qyne42suhfXeF/dQ3p/45HiNn5UbVvhOn9eNPsi8brp7o8KNror390x991cybZ082867sn019j28hOunQ8W3fn2znZRUZZp4U5fydzoEp5fY+1JJr70NO7cf47PXrKQ3/JIqjAm7772v+VDv3tSWaubs2uu8Ad7Wd+zx2Ht9o5zG+6H4KO/XPs88+h9aOiv7vm6EEex8Jeux9QCn+qOZf1Zxi5unJrVG1H2iy12Ew3l6+kC+6ddwUZ7fft8Q+xmuH2v2P8Uf3OyJ5V62Zt3ns76G8vPqo5u/u02zmhw/bYxweKMiMav7dtX5Pta597A15/UHdddFw9Uvv2rfAs+8d1Bef2CpJuu+y05SccPz/Gb2vpllfevItvX+oUTOGZOuzYwqO+zwRGYoqAAAAAIBTxq7KJi1euV2S1BYI6nBjmzbtr9E75Q2KjXHpzguHadHFwztMt6W09th0rf6gDta3akNJjXZVNikpPka/+MwYzZvUv0f76g+Gjs0zEAqptsWnd8rrtX5vjQLBkC4f3UePzB3f4Wr8Z94t11/fPShJ2lN9pLj11/cOqqTmyP8fkefpdOBc9KyTXlTZV9Pcax8PlZOSoAGZDn8C62GLFy/W3XffrdWrV2v69OkndN4AAAAA8HFXXNV87Gk7SfExykiK18hcj75z4TB9fmJ/DckJf4XVltI6bSmtkyQlx8cqKzleo/NT9aXJA3TdxEIVpNlX50UiEAwd62tCbIzSEuM0KCtZN04p0ufG99M5g8Jfdb31QL2Wby5t995bZfV6q+zI1UfnD86mqHKCnNSiyr6aZo28f7Va/Q6XJZ4kiXEx2vatGT1SWNmyZYt+9atf6eWXX1ZZWZmCwaD69u2rs88+W9ddd50uuuiiHuhx902fPl1r165VKBTdpYfRqKqq0lNPPaW///3vevfdd3XgwAGlpqZq0qRJuu222zRr1qyT1jcAAAAAHw8Ds5IVfGB2t6ebPjQnoukkad6k/o5XryyeNUKLZ43o8P6eOy+MaJ5WmzjxTshAtZ2pbGrrtQUV6cglX9FeRRMMBjV//nxNnDhRv//97zV48GDdfPPN+vrXv64JEyboH//4hy6++GJ973vf66Fef/z86U9/0k033aQtW7bo3HPP1fz58/WJT3xCa9eu1SWXXKIf/ehHJ7uLAAAAAAB0cNJv/znVfec739FPf/pTjRs3Tn/+8581ZMiQdnlLS4t+8YtfqKqq6iT18OQbPny4/va3v+myyy5TTMy/63zf+c53dNZZZ+nOO+/UNddco759GfEaAAAAANB7nNQrVU51u3bt0g9/+ENlZ2drxYoVHQoqkpSUlKQ77rhDd999d6ftrFmzRi6XS4sXL+6Q7d27Vy6XS/PmzWv3/s6dO/WFL3xBgwYNktvtVlZWlsaOHavbbrvt2K0+LpdLa9euPfb/j74+2tbbb7+tuXPnqqCgQAkJCSoqKtLXvva1DoWgD/flgw8+0Gc+8xllZ2fL5XJp7969nS7fBRdcoNmzZ7crqEjSiBEjNGfOHPl8Pm3YsKHT6QEAAAAAOBm4UuU4WrZsmQKBgG666Sb16dPH/Kzb7e6x+ZaVlWny5MlqamrSZZddpjlz5qipqUk7d+7Ur371Kz3wwAOKi4vTokWLtGzZMpWUlGjRokXHph83btyx//+3v/1NV111lWJiYnT55Zerf//+ev/99/WLX/xCK1eu1Ouvv67MzPaPQtu1a5emTJmiMWPGaN68eaqqqlJCgv3IyM7Exx95DF1cHLsqAAAAAKB34V+qx9H69eslHbkS40R66qmnVFtbq5/97Gf6+te/3i6rrq4+VqBYvHix1qxZo5KSkrBXwVRVVenaa69VTk6O1q9fr6KiomPZ448/rquvvlp33XWXHnzwwXbTrV+/XnfddZd59U1X1NfX689//rMSExN13nnnRdVWb1VzZo6ZZ222bwvzFqaZeUKtPSZQeonLzBNqnMcUqh+cZOZpe1rMPJBkn4biGnxm7imNtaf3Rjduk9M6jAnEm3lsi9/Mk3c1m7l/mr2PxNU0mblee8tu/6KJZu60/Vzrtpp53IihZu7Uv5qrp9jTO0jeVRvV9I7HWIM9yLfTMeykefZkM3c/u9HMYx227xGRFb17C1+qvQ365taaeY3sc9jHXWPhx/uiZJ/HzuMbT0w/ItWcf7J7gOOtocj+HeCkrii6f47VFdm/ExynP2x/z8lhH/Yesh/okTeo2sz7uWvsGQAfAx/vb9pe7uDBI88NLywsPCnzT0rq+EMxKyv8I7nC+f3vf6/6+notWbKkXUFFkubOnaszzzxTjz/+eIfp8vPzdeedd3a/wx9x880369ChQ1q4cKGys7Ojbg8AAAAAgP/P3p2HR1XdfQD/zj7JTPaELIQsBAgIGERkVcC4AOWNaC0CLkhq3UqtvLZoKULCUiguYBVxqVRetBUVrAVBFFCCRhaNUZaIhiUBEhKyL5PMZLb3D0okTvK7SSYhgN/P8/A8Yb73nnPuPjm599yOxDtVLkMpKSmYM2cOZs6ciR07dmD8+PEYM2YMevbs2aZy9uzZAwDYu3cvjh496pFbrVaUlpaitLQUoaE/9pInJSV5PO7T3J0ws2bNQmBgYLN1z5kzB2+99RbGjx+PP//5z21qNxEREREREdGFwE6VThQREYHDhw+joKAAiYkX7h3icXFx2LNnD9LT07Flyxa88847AIC+ffti4cKFmDx5cqvKKS8/e7veiy++KE5nsViadKo0N35Mc48CzZgxo9lOlXnz5uGvf/0rkpOT8d5770GjkR/vICIiIiIiIuoKfPynE40aNQoAsGPHDq/KOfdWHIfDc2yGqqqqZucZMGAA1q9fj/LycuzevRvz589HUVERpkyZ0jjWixJ//7PPWB44cABut7vFfz99NEil8hyno7n54uLiPKabN28eFi9ejLFjx2LTpk3NPsJEREREREREdDFgp0onmjFjBjQaDV599VWUlJSI09psthazc2/XKSgo8Miys7PFcnU6HYYPH44FCxbg+eefh9vtxgcffNCYn7sLxOl0esw7bNgwAMDu3bvFOjrKuQ6VMWPGYPPmzfD1lQe+IiIiIiIiIupK7FTpRL169cLjjz+O0tJSTJgwAcePH/eYxmq1Yvny5c2OOXJOYmIi/Pz8sHHjxsZHcgCguLgYixcv9pg+KysL1dXVHp8XFxcDAIxGY+Nn5wauPXnypMf0qamp8PPzw9y5c3Ho0CGPvK6urnHcFW/Nnz8fixcvxnXXXccOFSIiIiIiIrokcEyVTrZ48WJYrVasWLECiYmJSE5OxoABA6DT6XD8+HFs374dZWVlzXaOnKPX6/HII49gyZIlGDx4MCZNmoSamhps2rQJY8aM8RhE9o033sArr7yC0aNHIyEhAf7+/sjJycGWLVsQHByM1NTUxmmTk5Oxfv163H777ZgwYQKMRiOSkpKQkpKCsLAwvPXWW5g8eTKSkpIwfvx49O3bFzabDXl5ecjIyMDIkSOxdetWr9bRmjVrsGjRImi1WgwdOhRPP/20xzRjx47F2LFjvaqHiIiIiIiIqCN1aadKqEkPo1YNq8PVlc1okVGrRqhJrzyhQK1WY/ny5bjzzjvx0ksvYdeuXdi1axdcLhciIyMxbtw4pKam4sYbbxTLWbRoEfR6PVavXo2XX34ZcXFxmDdvHlJSUrBhw4Ym006bNg1WqxWZmZnYt28fbDYboqOj8fDDD2P27NmIiYlpnPb+++9HXl4e1q1bh2XLlsHhcODee+9FSkoKAGDixInIzs7G008/je3bt2Pbtm0wmUyIjo5Gamoq7r77bq/WDwDk5eUBODtmzLPPPtvidOxUISIiIiIioouJyu12uzurcKvViuPHjyM+Pr7JIyfnO1FRh1JLQ2c1wSuhJj1igvgYyqWmNftdS9R/3NRJrWre4Mpcr+b3O2kXc11Vy2P1AED5ALOYN/h7Djr8U8Zy+RRiDZbL0FfL8wcfrBXzopF+Ym6XFxE6uXhEfFEjlx9gEHNbgNx3rbSOlbZxZyvrL3cshxzq3PN3TQ+dmKs9x+9uQlvn3SXOUCVXYDfLbyfT1XqOV3U+peVTOj6U2qfd9pWYA0Dui8PE3Oe0vIxO+RCAoUKxCV6pSZDXsSlKPsjr8+VziJLQr+Vj2KXw56vyK+VtrFR+faicGyrl8pXqV+LSyvPrK717g59a4RSjdA5XYgv2bn5DuZxbYuQ/HCqtv9ZQOxT2wUD5OmIwe3ceV6vkZegZUibmoUaLmH92NEHMXRXydUpp/SjxT6gUc9teL3ciL3l9DFwrf8+JDqoU81MVgV7VPynhgJg/lfSuV+UTXQhd/vhPTJAvOy6IiIiIiIiI6JLDgWqJiIiIiIiIiNqBnSpERERERERERO3AThUiIiIiIiIionZgpwoRERERERERUTt0+UC1RERERERERN6yV+Xh1Ot9xGliHjoDjTEQJ1f3hqMm/8dApYbaEAR9t6vgn/QQTAm3NEb1JzNQtOGmpgVp9ND6RsLYYwwCr3kCuqDeHnXZznwDS+56NBRnw1aSDVd9KYzdRyNy8navlpMuLuxUISIiIiIiosuGNiAB5r7Tms1UWuN5/9EgcOgcAIDb1QB7+feoO/YBrCe2I/i6ZQi4+n+bzKvvNhi+8b8AALgaqmEt/AK1OWthOfI+oqZmQh+c2GT6uqMbUfXlU4BGD11gb7jqSztwKeliwU4VovMcjb79gtZ3fcISMfc5rRFzS5ReoQY5Vw2uEvO602aF8oFau0rM3cE2Mfcxy7klKkDMlZYBX8vzhxxqEPOTN/uJeX2kU8x9Tnv3lKXSNjYVuhXml7ePEmsfq5jbzUYx97Z9SuvXdEI+RnxKxBiViXKuq5HXvy3UJeYunUL7TsvLr7z95PbV3zpMYX6g98y9Yq7t1VPMXQG+Yl4yxF/MzYUOMVeicslfZRyn5HNA74+rxVxdaRHzslERYu530i7mId/Kx1hFf/kcFJQrr7+6MHkfjNskt68qziDmZdfK51CHw7tzkEsnn0P8h5eL+ZnjwWKur5DXj1be/KhJkM9RvfsViPmxr3qIuTNM3j4AgCr5GPDbL29Du1nOFSXJx9DRT+LFPKe3fAyoyhS+62jlfcRblaXydyGtn3f162q8O0bsCl/VlK6jO4e+JOZ/Kx0j5tOj94h5ZpXn3RvnG24+IubtpQtMQNCI+YrTqdRaj+nq8reh+N//g4rdC+B35YNQ6368zhnCr/aYvnTHTNQc+DuqvlyGsHH/aJKZ+twO34QU6EMGwGktw8m/x3ixVHSx4pgqRERERERERAB8Y2+CLqgP3I462MtyFKf3658KALCd+doj04f0h6HbVVBpdB3eTrp4sFOFiIiIiIiI6KdUrb+TSKXiQyA/V9zyREREREREdNmwVx5Fxe6FHp/7xI2DMVJ+NLb+xCewV/wAlc4EXcgVinXVHHodAGDoPqp9jaVLHjtViIiIiIiI6KJjs9lgszUdf89gMMBgkMcCclQdReXexR6fqw2BTTpV3C5HY+eL22WHveIH1B3bBMCNoBHpUGt9mranOKtxeldDDayFmWgo/gq6oN6NA97Szw87VS4y6enpWLBgAT799FOMHTu2q5tDRERERETUJZYuXYoFCxY0+SwtLQ3p6enifD6xNyPitg+UK3A7f+x8+e8rlX2ir4df0kMwJaR4TN5w5ms0/GTsFF1QH0TesRMan1Dl+uiy1OWdKo7qE3Bay7q6Gc3SGEOg9e+YEZqzsrKwatUq7Nq1C4WFhXC5XIiKisLIkSMxffp03HTTTcqFdIKxY8ciIyMDbnfnjpzeGj/88AOefPJJfPLJJ7BYLOjTpw8eeughPPTQQ1C14XlGIiIiIiK69M2ZMwePPfZYk8+U7lJpC5XGgLhHalo9vd/A+xF6w4twu91wWk6jOvt5VGUtx5nN0xDxy61QqeU3itHlqUs7VRzVJ3Dq/wbA7ZRfpdZVVBojou896FXHisvlwh//+EesWLECWq0WycnJuOWWW6DT6XDs2DFs3rwZb775JhYuXIh58+Z1YOsvLTk5ORg5ciTq6+txxx13ICoqCps3b8Zvf/tb5OTk4IUXXujqJhIRERER0QXUmkd9uoJKpYLWHIXg6/4Kh6UIlsP/QvU3LyJg8O+7umnUBbq0U8VpLbtoO1QAwO20wmkt86pT5cknn8SKFSswaNAgrF+/HgkJCU3y+vp6rFy5EmVlF+fdOhfKww8/jKqqKmzZsgUTJkwAACxatAg33ngjVq5ciTvvvBMjRozo4lYSERERERH9KPi6pag78m9U7lsKvwGpUOv9urpJdIF1+eM/l7MjR47gqaeeQkhICLZu3Yrw8HCPaXx8fDB79myPAZjOt3PnTlx//fXNPj+Yl5eH+Ph43HvvvVizZk3j57m5uViyZAl27tyJwsJCmEwm9OjRA9dffz1WrFgBlUrV5JGa83/+aVn79+/HkiVLkJGRgbKyMkRGRuKWW25Beno6QkJCmm3LE088gT//+c/YtWsXysvLcfz4ccTFxTW7fD/88AN27dqF66+/vrFDBQD0ej0WLVqEsWPH4u9///tl2anic1q+RdBU2LmPZZVGmsVcqX0AoLbLuc0m/3WhzqwT81CFdaC4DGKqTHkbdO42tETJj775nVTYAJDXrxK7n7z9lJbP+/YprN/Tcv2m03L9Df56MddXy+Wr7WoxdyksXmcf40rrDwC0vXqKuePIMTF33nC1mJsLHYpt8IZdPgXAaVSYP1Dex5X2UHNBg5gb8ivE3BYb5FX5Dl95Gyvtww3+8ldBpfWrKZHXkKHCu8d3lY6hMyZ/MTcWK6yfKrl8Xa2cu3Ry+ceC5TEWjCXy+rG24hzu1svbWGeR51faxt5ymDr3PKepk8/DSutHkUXexr6n5W1YF6mwfRT2MSVKx7jSdSCjPl7Muxvkc1hmVW8xL6gLEPOT5hAxvxRoTZHwG/gAqrP/hqrs5xE0bG5XN4kuMHaqdKI1a9bA6XTiwQcfbLZD5XwdeVtbYWEhhg4dCovFgokTJ2LKlCmwWCzIzc3FqlWr8Mwzz0Cr1SItLQ1r1qxBfn4+0tLSGucfNGhQ488bN27EHXfcAbVajUmTJqFHjx7IycnBypUr8dFHH2Hv3r0ICmr6hfDIkSMYPnw4Bg4ciBkzZqCsrAx6fcu/uOzcuRMAcPPNN3tk1157LUwmEzIyMrxbKURERERERJ0gcMgfUXPg76j++m/wT5oJjTEQANBQfhhVXz4NAHA76gEA9orvUfLRfY3zho1bfcHbSx2LnSqdKDMzEwCQnJx8QevdsGEDKisr8dxzz+HRRx9tkpWXl0OrPbvZ09PTsXPnTuTn5zc7gnZZWRnuuecehIaGIjMzE7GxsY3ZunXrMG3aNMyfP99jvJPMzEzMnz/fY6TuluTm5gIAevf27OnWaDSIj49HTk4OHA5HY9uJiIiIiIguBhpTOPyufBDVX69AdfZzCBqRDgBwWopR+90bTaZ11jX9jJ0qlz7+htqJioqKAADR0dFdUr+Pj+eDD8HBwa2ef+3ataiursbKlSubdKgAwNSpU/H0009j3bp1Hp0qERERmDu39be9VVWdvfc2IKD52wP9/f3hcrlQU1PjcVcMERERERERAOgC4hA/S35s8pwe9+W2ulyfHmMUyw0ZvQwho5e1eT669LFT5TKUkpKCOXPmYObMmdixYwfGjx+PMWPGoGdP+bn5n9qzZw8AYO/evTh69KhHbrVaUVpaitLSUoSG/vjMcFJSksfjPs3dCTNr1iwEBga2qU1EREREREREFwt2qnSiiIgIHD58GAUFBUhMTLxg9cbFxWHPnj1IT0/Hli1b8M477wAA+vbti4ULF2Ly5MmtKqe8vBwA8OKLL4rTWSyWJp0qzY0f09yjQDNmzEBgYGDjHSrn7lj5qerqaqhUKvj5cSRtIiIiIiIiunjIw2WTV0aNGgUA2LFjh1flqNVnN5PD4fkGhZY6IgYMGID169ejvLwcu3fvxvz581FUVIQpU6Y0jvWixN//7Ij6Bw4cgNvtbvHfTx8NOv9NQuc0N9+5twGdG0vl3Ngq53M6nTh+/Dji4+M5ngoRERERERFdVNip0olmzJgBjUaDV199FSUlJeK00iuVz40jUlBQ4JFlZ2eL5ep0OgwfPhwLFizA888/D7fbjQ8++KAx12jOvmbN6XR6zDts2DAAwO7du8U6vDVmzBgAwMcff+yRff7557BYLI3TEBEREREREV0s+Kf/TtSrVy88/vjjWLp0KSZMmIB3330X8fFN3wVvtVqxatUqlJSUYOnSpc2Wk5iYCD8/P2zcuBHl5eWNg80WFxdj8eLFHtNnZWWhd+/ejXeanFNcXAwAMBqNjZ+dK+vkyZONd46ck5qaisWLF2Pu3LkYOXIk+vfv3ySvq6vD/v37MXz48FasjZYlJiZi9OjR+PTTT/Hhhx9iwoQJAICGhgbMmzcPAPCb3/zGqzouVrZQl5ir7Z3b76kJbrkzDwBsdqOYt4bT5Nlhdz6t2S7m9WG+Yu7tMlgidQr1e9551aT8Tt6Gann1eN1+JfZgpe0j1692dPX6leu3hshzOw1y++oj5fYp6exj3GlQnsYVIB9jzhuuFnPNjiwxt9w1QszNp+RjWH+yXMyLhkaJudYixjDkyeUrqe2v9GiqPMC6Uv1loyLE3C9fXn/WWHknCDpUK+ZOvVnMq3u7xdzRoBFzJS6dXH63btViXl4cKuZqu3fnSIdJbl/P8FIxP2GKEXOnr/I5Rl/p3TrWybuAoto6vZh71zpAWyufJ516eRsoza+kIVD+HqN0HVE3yPtYa87TEm+vo2N8jov5nFMpYj4+5KCYv1M3RMyJLgfsVOlkixcvhtVqxYoVK5CYmIjk5GQMGDAAOp0Ox48fx/bt21FWVtZs58g5er0ejzzyCJYsWYLBgwdj0qRJqKmpwaZNmzBmzBiPQWTfeOMNvPLKKxg9ejQSEhLg7++PnJwcbNmyBcHBwUhNTW2cNjk5GevXr8ftt9+OCRMmwGg0IikpCSkpKQgLC8Nbb72FyZMnIykpCePHj0ffvn1hs9mQl5eHjIwMjBw5Elu3bvV6Pa1atQqjRo3CrbfeiilTpiAyMhKbN2/GoUOH8Lvf/Q4jR470ug4iIiIiIiKijsROlU6mVquxfPly3HnnnXjppZewa9cu7Nq1Cy6XC5GRkRg3bhxSU1Nx4403iuUsWrQIer0eq1evxssvv4y4uDjMmzcPKSkp2LBhQ5Npp02bBqvViszMTOzbtw82mw3R0dF4+OGHMXv2bMTE/PhXkfvvvx95eXlYt24dli1bBofDgXvvvRcpKWd7pSdOnIjs7Gw8/fTT2L59O7Zt2waTyYTo6Gikpqbi7rvv7pD11L9/f+zduxdPPvkkNm/eDIvFgj59+uDFF1/Eww8/3CF1EBEREREREXWkLu1U0RhDoNIY4XZau7IZLVJpjNAYFe7pa6UhQ4Zg9erVitOlp6c3+/phtVqNtLQ0pKWleWRud9PbHocNG9Y4HooSrVaLZcuWYdmyZS1Ok5iYiNdee02xrLi4OI+2tEViYiLefffdds9PREREREREdCF1aaeK1j8G0fcehNNa1pXNaJHGGAKtv/ysKxERERERERH9PHX54z9a/xh2XBARERERERHRJYevVCYiIiIiIiIiagd2qhARERERERERtQM7VYiIiIiIiIiI2qHLx1Qh+jkL+1Il5mVXym9Tit1iE/PaaIOY24J9xFxuXevacPQOnZiHfiC3AZDXgaHSV8zLR8jtqw+V15H5lFx/xJ4GMS8YYxRzh0ku3xEul28+pRdztV2M0S1Lfvva0Rh5+ymVr3LKudL8SsdI8O5CMT91a5SYGyrk+pXWj9IxVhcut78+XN7+PsWtOQpbprR8AFAyxF/MzYUOMbfcNULM/f+5W8y1PePEvKFHsJibT4kxanvIefnwCHkCBSGfnxZzpfYr1a9UvhJVdKSYV/b1E/P6UHkf7P6pS8x9ztSLuRK3Wq7/THGYmMcqHMO6Crl9quo6MW+Ild8SWVQsjxsYs0cuvy5SvoYAQEUfOVe6DhrM8nVGifZ7eR/qM+q4mLsUvm18rw6X56+Qr4NuvXfn0cDYKjFXH5CP8Tq5+bAFt//Nma1hOiH/Df2Og6lyHpsl5mm7b5EbYJF/3Qw1WuT5iS4BvFOFiIiIiIiIiKgd2KlCRERERERERNQO7FQhIiIiIiIiImoHdqoQEREREREREbUDO1WIiIiIiIiIiNqBb/8hIiIiIiKiy0b9yZ2o2f8qrKf3wFl/BmqtCbqQfjD1ug1+Vz4Itbbpm7VOv3sjrAW7zvtEBbXeH7qQK2Dudzf8Bt4Hlarl+xEq9ixG5Z6FgFqLHvcdg9bU/JvdSj66D7XfvYHIKZ/BGDkMAOCsL4PlyL9Rf3wzGkpz4LAUQK3zgyF8CPyvegS+cTd7uzqok7FThYiIiIiIiC55bpcDZZ/8HjUHX4NKZ4JP3DjoAhLgaqhGff52lO+ajZoDryJ80n+gC+zlMb//4P+FWmcC3E44ak7AcuR9lH0yEw1nshF646rm63S7UZuzFoAKcDlQm/MGAq+Z3eo2W3I3oOyT30FjioJPzPXQmKLgqC1A3ZF/oz7/IwRduxSBQ/7Q3lVCF0CXd6qcqK1AqfXifD95qNGEGHPQBa0zPT0dCxYswKeffoqxY8de0LqJfsphdilOUxttUJhCLqMuXCXmvsVuMbebFKrvZMrLT52poUdwl9ZvN8v776XAXOjwbv5TNjHX9owTc8exPDHXK9Svi44Uc2OJvI2U2t/ZvK1faf0Z+ncTc121vP0dRqOYWyLkJ8ldWu/OkS6tvP3qw+VrhNI52miWvwrrquXlVypfqX11kd6tXwDwOSPnDYHyUWSzePfrgE4hP1IaKuYBvla5gBJ5HRsq5XWk8fIQrwwwi3nXXoW8Nyi0QMwLbPLvQt26VYv5mTP+bW6TNyoyn0TNwdegDx+C8JR3oTV3b8zcLicq9y5G5d6/oOjfKeh+516oDU3bF3D1/za5yyRw2FwU/PMa1BxcjYBr/ghdQE+POq0nP4GjOg9+A36D2h/eQW3OmjZ1quiCeiP8lvfgE/+LJnfDNJTPwel116Lii/kw950GrTmqLauCLqAu7VQ5UVuBfu8tg9Xp3Re6zmLUaPHdL5/okI6VrKwsrFq1Crt27UJhYSFcLheioqIwcuRITJ8+HTfddFMHtLjtxo4di4yMDLjd8kX/Qnv77bcxdepUAMBbb73V+DMREREREdFP2St+QNXXz0FtDEbELf+GxhTeJFepNQgakQZ75VFYvl+Hqq+XI2hEulimLrAXjN1Hoz7vQzScyW62U6Xm4OsAAL+Bv4Hb7UTtoddhLfgcxu7XtqrdPj2ub/ZzfXAiTH0mo+bga7Cd3g1t79tbVR5deF06UG2p1XLRdqgAgNXp8PouGpfLhcceewxDhgzB2rVr0bNnTzz00EN49NFHcfXVV2Pz5s24+eabsWjRog5q9aWvqKgIM2fOhMnUxbcgEBERERHRJaEm5w3A7YLfgPs8OlTOFzjsz2enP/R/batA5Xk/gtNajrqj/4EuuB8M4YNh7nf32bL/29HiNY2uxbrp4sGt08mefPJJrFixAoMGDcL69euRkJDQJK+vr8fKlStRVlbWRS28+DzwwAPw8/PDjBkz8Oyzz3Z1c4iIiIiIqAvYbDbYbE2f4TIYDDAYPB8Ls53eAwDwiUkWy9QH94XGFAVnbQEcNSeh9evR4rT2yiNnB7BV62CIuMYjrz38FtxOG8z97gIAGLtfC61/HCy5GxAydoXH40Vt4bJVoy73Pag0xlbf9UJdg69U7kRHjhzBU089hZCQEGzdutWjQwUAfHx8MHv2bCxYsKDFcnbu3AmVSoX09HSPLC8vDyqVCjNmzGjyeW5uLlJTUxEfHw+DwYDg4GAkJSVh1qxZjY/6qFQqZGRkNP587t9Py9q/fz+mTp2KyMhI6PV6xMbG4pFHHvHoCDq/Ld999x1uu+02hISEQKVSIS8vT3mFAVizZg02bdqE1157DWaz/AwrERERERFdvpYuXYqAgIAm/5YuXdrstE5LEQBAY45WLFfrF91knnOqslagYvdCVHyRhpKPfo2Cf14Dt92C4Gv/0uyYJrUHXwdUapj73gng7O9U5r7T4HbUofaHd9q0rD9V+slMOOuKETD0CWh8QrwqizoX71TpRGvWrIHT6cSDDz6I8PCWb0ED0Gxva3sVFhZi6NChsFgsmDhxIqZMmQKLxYLc3FysWrUKzzzzDLRaLdLS0rBmzRrk5+cjLS2tcf5BgwY1/rxx40bccccdUKvVmDRpEnr06IGcnBysXLkSH330Efbu3YugoKZjzhw5cgTDhw/HwIEDMWPGDJSVlUGvVxpqEDh58iRmzZqFBx54ADfccAM+++yzDlsnRERERER0aZkzZw4ee+yxJp915O9NP1X99QqPz0LGPgf/Qb/1+NxWnIWG0v0w9khu7KQBAHO/u1G5bylqD74O/4G/aVc7yj+fC8v3b8MndhwCr/lTu8qgC4edKp0oMzMTAJCcLN+C1tE2bNiAyspKPPfcc3j00UebZOXl5dBqz2729PR07Ny5E/n5+c3eBVNWVoZ77rkHoaGhyMzMRGxsbGO2bt06TJs2DfPnz8cLL7zQZL7MzEzMnz9fvPvmp9xuN+677z74+/vjmWeeacPSEhERERHR5ailR32aozFFwF7xPZy1p4DgRHFaR82pxnnO1+P+E9CaIuBy1MN2eh9Ktz+Isl1/hDawF3zjbm4y7blxU849+nOOLqg3DBHDYCvai4ayQ9CH9G9V+8+p+CINVV89DWOP69Et5R2o1Jo2zU8XHh//6URFRWdvJ4uOVr4FrTP4+Ph4fBYc3PoXv61duxbV1dVYunRpkw4VAJg6dSoGDx6MdevWecwXERGBuXPntqmtL7/8MrZt24a///3v8PPza9O8RERERET082aIHA4AqD/xiThdQ/lhOC2F0Ji7tzieilrrA58eYxA+6X0AKpRuewAue11j7nLUw/L92wCA0o/vw/Hn9E3+2Yr2AgBqDq5p0zJUfJGGyn1LYYweg/Bb/g211vP3Obr48E6Vy1BKSgrmzJmDmTNnYseOHRg/fjzGjBmDnj09XwEm2bPn7GBPe/fuxdGjRz1yq9WK0tJSlJaWIjQ0tPHzpKQkj8d9mrsTZtasWQgMDMSxY8cwe/Zs/PrXv8a4cePa1EYiIiIiIiJzv7tR9dXTqDn4DwQMngWNb1iz01Xu+ysAwK//vYpl6oP7wj/pYVRnP4/q7OcROPTsoziW3A1wNVRBH5YEfbfBzc5rOfwWag//E8HX/gUqjfJQCI0dKt1HI3zSf6DW+SrOQxcHdqp0ooiICBw+fBgFBQVITJRvQetIcXFx2LNnD9LT07Flyxa8887ZQZL69u2LhQsXYvLkya0qp7y8HADw4osvitNZLJYmnSrNjR/T3KNAM2bMQGBgIO677z4EBgZi+fLlrWrX5aQuXKUwhVtMa6M775nS1lJeBll9uLyMvsXezd/ZvF1+Jdpi5YuwN5T3IVen1q9Eef16dwzYFcbDVlo/dr75HfqT5WLe0EO+Q1JpD3ccyxNz+02eAwdeSErL19nlK60/m0KuRF8rnwPKe8g3Pbu03t0U7Va4690RLi9hXbh8DDuM8ldhvVluv9I5Sql9lgi5ffXN/07YhKFCzrUWpfOod9vIaZL3EXutvJfWqOTruLZWbp/WIsbQNMi5Iou8E17q14FRAblivvbUcDEfFFog5t8o1B9uqFaYovX0wYnwH/QIqrP/huKNt6FbyrvQmiIbc7fbhcp9S2E5/C9oAxIQMPgxobQfBQ6ZjZoDf0dV1gr4J/0WaoM/av97B0rw6Kfh02Nss/O5HXWwfP826o5tgqn37WIdFbvTUblvKQzdr0X4rexQudSwU6UTjRo1Cjt37sSOHTu8GldFrT57MXE4HB5ZVVVVs/MMGDAA69evh91uR1ZWFj788EM8//zzmDJlCqKiojBq1CjFev39z74C7MCBAxgwYECr26tSeV68z71xqDnZ2dmoqqpCYGBgs/m0adMwbdo0rFixArNmzWp1O4iIiIiI6Ocj+LqlcDVUofbQGpxacwV84yZAG9gTroYa1Odvg6PyCLSBvRBx68ZWv+5YYwqH35UPovrr51CV/TeY+06DteAzaP3jYIwe0+J8flfcC8v3b6Pm4BqxU6Xm0FpU7l0CqLUwhF+Dqq+e9ZjGGD0GPj1arou6FjtVOtGMGTPw17/+Fa+++ipmzZqFsLCW/9xgs9laHITp3Nt1Cgo8e4Kzs7PFNuh0OgwfPhzDhw9Hr169MH36dHzwwQeNnSoazdned6fT2fjzOcOGDcN7772H3bt3t6lTpa2mT5+Ouro6j8+//vprZGdn4/rrr0fPnj07tQ1ERERERHRpU6m1CLvpVZgTp6DmwGuwFn4B59H/QK0zQRfcF/5XPgC/Kx9s81glgVf/ATX7X0X118/DaSkG4Ia5393N/jH5HGNMMjR+PVB/YhscNSdbHL/FUZ139geXo9m3DwFAIMBOlYsYO1U6Ua9evfD4449j6dKlmDBhAt59913Ex8c3mcZqtWLVqlUoKSlp8Z3riYmJ8PPzw8aNG1FeXt442GxxcTEWL17sMX1WVhZ69+7deKfJOcXFZ5+jMBqNjZ+dK+vkyZOIi4trMn1qaioWL16MuXPnYuTIkejfv+nI1XV1ddi/fz+GD5dvC1Ty/PPPN/t5eno6srOz8cADD2Dq1Kle1UFERERERD8PPjE3wCfmhlZPHzl5u5hrTOGI+11l4/9Db1ipWKZKpUbMfU3HpQwbtxph41Y3+SxoxHwEjZjf6rbSxYedKp1s8eLFsFqtWLFiBRITE5GcnIwBAwZAp9Ph+PHj2L59O8rKyprtHDlHr9fjkUcewZIlSzB48GBMmjQJNTU12LRpE8aMGeMxiOwbb7yBV155BaNHj0ZCQgL8/f2Rk5ODLVu2IDg4GKmpqY3TJicnY/369bj99tsxYcIEGI1GJCUlISUlBWFhYXjrrbcwefJkJCUlYfz48ejbty9sNhvy8vKQkZGBkSNHYuvWrZ22/oiIiIiIiIguVuxU6WRqtRrLly/HnXfeiZdeegm7du3Crl274HK5EBkZiXHjxiE1NRU33nijWM6iRYug1+uxevVqvPzyy4iLi8O8efOQkpKCDRs2NJl22rRpsFqtyMzMxL59+2Cz2RAdHY2HH34Ys2fPRkxMTOO0999/P/Ly8rBu3TosW7YMDocD9957L1JSUgAAEydORHZ2Np5++mls374d27Ztg8lkQnR0NFJTU3H33Xd3/EojIiIiIiIiugR0aadKqNEEo0YLq9NzANaLgVGjRaixY4b0HjJkCFavXq04XXp6erOvH1ar1UhLS0NaWppH9tNBYIcNG4Zhw4a1ql1arRbLli3DsmXLWpwmMTERr732mmJZcXFx4oC0bdXSuiAiIiIiIiK6GHRpp0qMOQjf/fIJlFoV3oXWRUKNJsSYg7q6GURERERERER0Eeryx39izEHsuKCfLZXLu/nrw1oecRwA7GalEuQ7i3xOa8QcAGwKh6/Kzy5PUNv8W6/OqY6Xl9H3tFx8HfRi7ndC3ggVfdVibveT16Hvabn9DoWb4RxmuX3V8fI2UmqfyiW3T2n71YfL68fhq7CPern+bIEK7Vc4xhwmuX6lY0xp/3fpvbt7z+Er50rrT2n/AQCVS/4qoHQeKRoaJebmU/L8uuhIuf6b5PJDXvlCzAvmjBTzkzcaxVxJYK68DazB8j5kDfGufJXC+vM9Ix/DZQPk5a+Ti4dK4WZjpX1YSUOgvPzGY/I1RGn/tQXLubFE4RqgUL7+pEL7vFw/AGBt+eWSAICGIKc8gcm7O8ZVGnkbGXzkfdDPxybmpfH1Yt5QIV/n1Q75GFQSGFsl5rYieSeyhsvrX1sr72PeUroOvnh0rJj7Gaxi/nFOPzHvH1co5t0NFWJOdCno3KOYiIiIiIiIiOgyxU4VIiIiIiIiIqJ2YKcKEREREREREVE7sFOFiIiIiIiIiKgd2KlCRERERERERNQO7FQhIiIiIiIiImoHdqoQEREREREREbWDtqsbQPRzVnWFQ8x7xJWI+cmgMK/qN4dZxDzIVKdYRoXFV8y7KZRR4SfPX1tiUmyDRGkdFhrCxdzpK28jpXVYG60X86iwSjFXWr/1gd6Vr7QP9YioEHNEyHFhSaCYe9s+JRqTXcx9fBvEvCpI3v+8LV/pGPN2/SntPwDgOBUg5k6jPL9WPgRQ20POjSUqeQIFBXNGinn3pV+Iefl98vz13eT6K/vI7XeYXWIedED++5ZS+Ub5FIf6UPkc4VDYRSJ3y+fA/F/Jy+e2e/f3O6VjTKNwjCmpV7zGyF+Vdf2rxDxU4Rg//Y18EnWGycsPAOoquY1qu8IxVqlTrEPi8lHYB/Llk0iFyk+uwCSXbyqQ9zG3l7/tVGrlc6Q7Rj5GlLiirV7Nr6QqSN6+vf0rxTzrm55ifvWgY2I+JDBPzIkuB7xThYiIiIiIiIioHdipQkRERERERETUDuxUISIiIiIiIiJqhy4fU8VedgKOmtKubkaztH6h0IXEXNA609PTsWDBAnz66acYO3bsBa2biIiIiIiIiFqvSztV7GUncOSJRLjtnTtAU3updEb0WvZ9h3SsZGVlYdWqVdi1axcKCwvhcrkQFRWFkSNHYvr06bjppps6oMVtN3bsWGRkZMDtdndJ/efMnz8fX3zxBb7//nuUlpbCZDIhLi4Od911Fx588EH4+ioPtkhERERERER0IXXp4z+OmtKLtkMFANx2q9d30bhcLjz22GMYMmQI1q5di549e+Khhx7Co48+iquvvhqbN2/GzTffjEWLFnVQqy9NK1euRE1NDW6++WbMmjULU6dOhdVqxWOPPYaRI0eirk75LTREREREREREF1KXP/5zuXvyySexYsUKDBo0COvXr0dCQkKTvL6+HitXrkRZWVkXtfDiUFhYCKPR85V799xzD9588028/vrrmDlzZhe0jIiIiIiILgX2qjycer1P0w/VOmh8w2HsPgqBQ2bDduYblG77TavLNPe7B2HjVqNi90JU7l3cJFNpfaEN7AlTwq0IGPIHqHU/vqb95OrecNTknzexGmpDIPRhSfAfeD9MfX7lUVfNobWKbTvXHrp4sFOlEx05cgRPPfUUQkJCsHXrVoSHh3tM4+Pjg9mzZ8Nms7VYzs6dO3H99dcjLS0N6enpTbK8vDzEx8fj3nvvxZo1axo/z83NxZIlS7Bz504UFhbCZDKhR48euP7667FixQqoVCqoVKrG6c//+adl7d+/H0uWLEFGRgbKysoQGRmJW265Benp6QgJCWm2LU888QT+/Oc/Y9euXSgvL8fx48cRFxfX4jI216ECAJMnT8abb76JI0eOtDgvERERERHROdqABJj7TgMAuOwW2Ir2wvL926g78j4ibv8IgcOebDK9ozoftd+9AX3olfBNuKVJpg9LavJ/3163QR/SHwDgtBSh7tgHqNy7GHXHNyNqymdQafQ/TqzSIHDoHACA22WHo/IoLEf/A+vJTxFUeRSBQ59otv3GHskwRo1sNvtpe6jrsVOlE61ZswZOpxMPPvhgsx0q5zMYDB1Wb2FhIYYOHQqLxYKJEydiypQpsFgsyM3NxapVq/DMM89Aq9UiLS0Na9asQX5+PtLS0hrnHzRoUOPPGzduxB133AG1Wo1JkyahR48eyMnJwcqVK/HRRx9h7969CAoKalL/kSNHMHz4cAwcOBAzZsxAWVkZ9Ho92mPz5s0AgAEDBrRr/oudpk5+Aq9iR6SYm72s3+qnE/PCfHm/bY1akzwejtZsF3PzUfk0ZR0kPxpWmCMvQ+jXKjG3RMr119f5ibnPaYVtDB+5/EiXmCu1vyLSu33opCpUnv+IvA+FnpbHa1Jqn0Zh+ZXWr+m0Rswre8vr31wrxqiPlOuvh8K5/XSAGMut837/AYDeH1eLuT1QXgZDXrmYlw+PEHPzqZb/qNAaJ29svlO+sf77mv9Sek7w6i/EXJsQL+ZloxSWr0A+x2l2ZMn59BFi7pcvr7+aWHn7mQ82iLm6QWEfssjXd0OlfAwqcenk+U0D5YO0/IB8DjNVyudQrcLTx3U/+Iu5zzVVCuXL9TstyuvPWCyfh/xOyOdhu1lug5LywfI+opZ3MVi7O8TcN0++DjtMYgyNd6cYxe9qmgrv1p+utnN/HVO6Djwb828xn6NOEfPxIQfF/J3TQ8T85m45Yt5eusAEBI2Y3+Sz8i/mo2rfX1GROR+Rk7c3yepPZpztVAlL8pjvp0y9fwlz4pTG/7salqHwrZFoOJON2sPr4Nd/emOmUms9yrMWfoHT7yajct8S+F/1CNQ6z+/KPjHJCLzm8VYvL3Utdqp0oszMTABAcnLyBa13w4YNqKysxHPPPYdHH320SVZeXg6t9uxmT09Px86dO5Gfn+9xBwwAlJWV4Z577kFoaCgyMzMRGxvbmK1btw7Tpk3D/Pnz8cILLzSZLzMzE/Pnz8eCBQva3PannnoKdXV1qKysRGZmJr766ivcfPPNmD59uvLMREREREREzQhImomqfX+FrfirDi1XrfeD+YrpqMicC1vxV006VZpjjBoJXVAi7OXfwV7+HQzhV3doe+jCY6dKJyoqKgIAREdHd0n9Pj6ef8EMDg5u9fxr165FdXU1Vq5c2aRDBQCmTp2Kp59+GuvWrfPoVImIiMDcuXPb1eannnqqyfgyd999N1566SXodPJfw4mIiIiIiBSpvLu7qEPLVnl3Nx9dHNipchlKSUnBnDlzMHPmTOzYsQPjx4/HmDFj0LNnzzaVs2fPHgDA3r17cfToUY/carWitLQUpaWlCA398fbapKQkj8d9mrsTZtasWQgMDGzyWWnp2bctFRUV4ZNPPsETTzyBYcOG4aOPPuqyzikiIiIiIrrwbDabx9iTBoOhXUMnVO9/+ez84dd0SNvOcTXUova7N/9btvy4E3D28R97xfdQG0OgC+7b7DT1Jz6B29H8W3JNiXdA38J81DXYqdKJIiIicPjwYRQUFCAxMfGC1RsXF4c9e/YgPT0dW7ZswTvvvAMA6Nu3LxYuXIjJkye3qpzy8rPPyb/44ovidBaLpUmnSnPjxzT3KNCMGTM8OlXOiYiIwJ133onevXtj6NCh+MMf/oC33367Ve0mIiIiIqJL39KlSz1+j2ju5R0/Za88iordCwEAbkcdrEX7YCv4HCqNEUEjF3rVJkvue7CXfw8AcNadQd2xD+C0FEIffnWTsVYAwO1y/NiO8waqhUqNkOTnodY2Py6Y9eQnsJ78pNlMH5bETpWLDDtVOtGoUaOwc+dO7Nixw6txVdTqswNkORyeA3lVVTU/ANqAAQOwfv162O12ZGVl4cMPP8Tzzz+PKVOmICoqCqNGjVKs19//7OBrBw4caNNAsapmbntzu+VB0lpyzTXXICgoCDt37mzX/EREREREdGmaM2cOHnvssSafteYuFUfV0R9ff/zfVyqbEqci8JrZ0IcO9KpNdUf+jbojZwf4PfdKZb+B9yHg6seavvkHANxOj9cwQ61Ft1+8BVOvSS3WETRqMQeqvYSwU6UTzZgxA3/961/x6quvYtasWQgLC2txWpvN1uIJ4tzbdQoKCjyy7OxssQ06nQ7Dhw/H8OHD0atXL0yfPh0ffPBBY6eKRnP2OT6n09n48znDhg3De++9h927d3fZ23dqa2tRVVWFSIU3hBARERER0eWlvY/6+MTejIjbPuiEFgFhE97wuCOlJSqNAXGP1AA4+5hQ/clPUbrtAZR8lAptwKcw8PXIlwX5HWHklV69euHxxx9HaWkpJkyYgOPHj3tMY7VasXz5cvEWtsTERPj5+WHjxo2Nj+QAQHFxMRYvXuwxfVZWFqqrPV+RWVxcDAAwGn+8zezcwLUnT570mD41NRV+fn6YO3cuDh065JHX1dU1jrvijWPHjjVZrnPsdjtmzZoFl8uFX/ziF17XQ0RERERE1BXUejNMCSno9ot/wm2vRenH97f7bn66uPBOlU62ePFiWK1WrFixAomJiUhOTsaAAQOg0+lw/PhxbN++HWVlZc12jpyj1+vxyCOPYMmSJRg8eDAmTZqEmpoabNq0CWPGjPEYRPaNN97AK6+8gtGjRyMhIQH+/v7IycnBli1bEBwcjNTU1MZpk5OTsX79etx+++2YMGECjEYjkpKSkJKSgrCwMLz11luYPHkykpKSMH78ePTt2xc2mw15eXnIyMjAyJEjsXXrVq/W0a5du/DQQw/h2muvRc+ePRESEoKioiJs374dp06dQr9+/fCXv/zFqzqILlU+p5X6vnkx7kraGnn7OPxcF6gl7aeutIj5pf7utfpucq5NiBdzx1HPP4g0MSqijS1qW/2dzZDn+UeN81UO8RwnrSmeg7qawyTndrP8NhK7wvxKVL6ej6efz2Hy7u0mSsvn1Mv7oFvr3ZtenL7yeVxju7zf3hJh9PxDLXnHJyYZvgm3oO7oRli+Xwdz32ld3STyEjtVOplarcby5ctx55134qWXXsKuXbuwa9cuuFwuREZGYty4cUhNTcWNN94olrNo0SLo9XqsXr0aL7/8MuLi4jBv3jykpKRgw4YNTaadNm0arFYrMjMzsW/fPthsNkRHR+Phhx/G7NmzERMT0zjt/fffj7y8PKxbtw7Lli2Dw+HAvffei5SUFADAxIkTkZ2djaeffhrbt2/Htm3bYDKZEB0djdTUVNx9991er6NRo0bhgQcewGeffYZvvvkGlZWV8PPzQ79+/fD73/8eM2fOhK+vr9f1EBERERERdbXA4fNQd3QTKvcuhqnPHVCpL+/Ouctdl3aqaP1CodIZ4bY3/7qorqbSGaH1C1WesBWGDBmC1atXK06Xnp7e7KNAarUaaWlpSEtL88h+etvYsGHDMGzYsFa1S6vVYtmyZVi2bFmL0yQmJuK1115TLCsuLq5dt7D17t0bzz//fJvnIyIiIiIiutQYwpLg22sS6o68j9rD/4TfFdOb5NIrlTWmCPhf+cCFaCa1Upd2quhCYtBr2fdw1JR2ZTNapPULhS4kRnlCIiIiIiIiolYKGvYk6o78B5V7l8Dc906o1D/+ai6+Ujn0SnaqXGS6/PEfXUgMOy6IiIiIiIjIK7qAOMTPamjzfD49xijOFzRiPoJGzG91mT3uyxVzfdiViJ9la/KZX//p8Os/vYU56GLFt/8QEREREREREbUDO1WIiIiIiIiIiNqBnSpERERERERERO3AThUiIiIiIiIionbo8oFqiX7O4jbZxbx4iEHMY9afFnNbXLBcPnzF3G4WYwBA9E6bmJ8aKy9DYK58GjIXyOXXnvYR89LBbX/N9/nCv5LrV1LeV15+pXVcH+kS8/Cv5H0I0ItpSGaRmB+dESnmptPy+jUXKA0WJ7dPafkMeeViXjYqQswDc+X2K60fpfIBlZha5NWruH6VmE7L9QPKy6C0DWv7+4l5yOfyeUpJQw/5PKa0DSv7yOtAcRsq5AFrd4u5NiHeq/oVy+8ZJ+ZmbYhX9dd2l9df2Jfy+vctdYi5ErfCn/8qisPEPCpXrl8ln2Khq5bPQQ3HdGJeWC6/jCH0iNyABrPy3z9tgXJefqVTnsDk3TZSl8nn8eCB8ls+Q3wtYp6jihZzbaVGzL2lC2v+tbbnBO6Tv0tV9lY+D3cm/1x5H7rjYKqcx2aJedruW9rcpvOFGuXtT3Qp4J0qRERERERERETtwE4VIiIiIiIiIqJ2YKcKEREREREREVE7sFOFiIiIiIiIiKgd2KlCRERERERERNQO7FS5yKSnp0OlUmHnzp1d3RQiIiIiIiIiEnT5K5UbKq1wWJReudk1tCY99IHGDikrKysLq1atwq5du1BYWAiXy4WoqCiMHDkS06dPx0033dQh9bTV2LFjkZGRAbfbu9d2dpSdO3dixYoV2L17N6qqqtCtWzcMGTIE6enpSEpK6urmERERERERETXq0k6VhkorDj67G26Hqyub0SKVVo0BfxjhVceKy+XCH//4R6xYsQJarRbJycm45ZZboNPpcOzYMWzevBlvvvkmFi5ciHnz5nVg6y89f/nLX/Dkk08iKioKt956K0JDQ1FcXIzMzEwcOHDgsuxUqY7Vi7lPidzZZe0Z4lX9Lp2cG8uUy6jtLi+DUhk1MSoxN52Wc6X5DaVK5cudum61Qv095JXoWyyf3xrq5fJdOvmGQkN+hZi71cFirrQPKW0/02m7mHvbPqVjxB/y/ErtswXIl0Gl9WOJlLef0jGslCu1X4nS/gkAfie924ZAkJg29JC3kbeswfI2cJjlY9Bc4N061ibEy/UfPS7XHyevH6XyG6Ll9a90DtPXyOvH54xGzOu6KZzDtN591XQrzF4fLh9DOotcgMohl683y+dgW6Cc10fK61dXK89v9xXjs9MEyLmxWN6GDpN3N647o2xifuaMv5jX+BnE3HBG3oZOfef+YdBeIv8e4FLYRzXy6lHMleir5eW3RMnH6NDQAjHvoSsX827dqsVcyWD/fK/mJ7oYdGmnisPScNF2qACA2+GCw9LgVafKk08+iRUrVmDQoEFYv349EhISmuT19fVYuXIlyspa8dvrZew///kPnnzySdx6663417/+BR8fnya5w6HwrYeIiIiIiIjoAuOYKp3oyJEjeOqppxASEoKtW7d6dKgAgI+PD2bPno0FCxa0WM7OnTuhUqmQnp7ukeXl5UGlUmHGjBlNPs/NzUVqairi4+NhMBgQHByMpKQkzJo1q/FRH5VKhYyMjMafz/37aVn79+/H1KlTERkZCb1ej9jYWDzyyCMeHUHnt+W7777DbbfdhpCQEKhUKuTl5Ynr6k9/+hP8/PywZs0ajw4VANB6+ZcuIiIiIiIioo7G31Q70Zo1a+B0OvHggw8iPDxcnNZgkG99bIvCwkIMHToUFosFEydOxJQpU2CxWJCbm4tVq1bhmWeegVarRVpaGtasWYP8/HykpaU1zj9o0KDGnzdu3Ig77rgDarUakyZNQo8ePZCTk4OVK1fio48+wt69exEU1PTW4yNHjmD48OEYOHAgZsyYgbKyMuj1Ld/C/+233+Lw4cP45S9/CbPZjA8//BD79++Hr68vRo8efVk+9kNERERERESXPnaqdKLMzEwAQHJy8gWtd8OGDaisrMRzzz2HRx99tElWXl7eeNdHeno6du7cifz8/GbvgikrK8M999yD0NBQZGZmIjY2tjFbt24dpk2bhvnz5+OFF15oMl9mZibmz58v3n1zvqysLABAcHAwRo0ahb179zbJ77rrLvzjH/8QO2aIiIiIiIiILjQ+/tOJioqKAADR0dFdUn9zj9EEB7d+wMC1a9eiuroaS5cubdKhAgBTp07F4MGDsW7dOo/5IiIiMHfu3FbXc+bMGQDA66+/jrKyMnzyySeoqanB119/jREjRuCf//znz34QXyIiIiIiIrr48E6Vy1BKSgrmzJmDmTNnYseOHRg/fjzGjBmDnj17tqmcPXv2AAD27t2Lo0ePeuRWqxWlpaUoLS1FaGho4+dJSUked5U0dyfMrFmzEBgYCJfr7GDFLpcLb7/9NgYPHgwAuOqqq/D+++8jISEBK1euxMKFCzv0MSkiIiIiIiIib7BTpRNFRETg8OHDKCgoQGJi4gWrNy4uDnv27EF6ejq2bNmCd955BwDQt29fLFy4EJMnT25VOeXlZ1+h9uKLL4rTWSyWJp0qzY0f09yjQDNmzEBgYCACAs6+CzA6OrqxQ+Wcbt26Yfjw4di+fTu+++67JuO9EBERERERHX+ubcMExM9qgL0qD6de7wMA8Im5CRG/3OwxnfX0Xpx++zqY+92DsHGrGz8v+eg+1H73BiKnfAZj5LCW26HSQOMTBkPENfAfPAs+0dc1Ri57HWr2vwLbma/RcCYb9opcAG5Ep/4AXUBcm5aHuhY7VTrRqFGjsHPnTuzYscOrcVXU6rNPaTX3WuGqqqpm5xkwYADWr18Pu92OrKwsfPjhh3j++ecxZcoUREVFYdSoUYr1+vv7AwAOHDiAAQMGtLq9KpXK47NzbxxqzrkOp8DAwGbzc5/X19e3ug1ERERERPTzEDjsSY/PqrNfgKuhqtnsp+pPbEP9yU/h0+N6r9uiNobAP+lhAIDbaUVDyX7UHduEumMfoNsv/glTn18BAJx1Z1D+2RMAAK1fLNTGILis5V7XTxceO1U60YwZM/DXv/4Vr776KmbNmoWwsLAWp7XZbC0+2nLu7ToFBQUeWXZ2ttgGnU6H4cOHY/jw4ejVqxemT5+ODz74oLFTRaPRAACcTmfjz+cMGzYM7733Hnbv3t2mTpW2Gj58OHx8fHDs2DFYrVYYjcYmeU5ODoCzd+BcbsqvbLmzCQB8TsvDHtWHeTd4b0P/OjG3FRvFHABq4+TcafLsDDyf1mwX8zN2XzFXWga3wjJYInUKuWcn4fnqI11irrQNldhC5fLLRspvFlNqv5LaXvL2cRrkfdAU6V37lNZvfZj8SKDptHyMVfaW69fVysun2L5IMe70Y1ypfQAQ8q1VzG2xQWJuyJO/AJYPjxBz8ymbmCuxhsh50AF5HWt2ZIm5NiFezMtGKSxfnDyWmVL9ZdNHiLlfvrz+lM5x5oIGMTeWyvmRKfI+ag/QiLkSl04+hoMHlop5OULFXF8pnwPsZnn/qYuS25dw5SkxP1EZI+a2UKeYA4BvgbyO/U7IbbSbvbtOlAfKv04YC+S8vrvcfl+LXL/KIbdf490pBk69vA9Ux3u3/tTyZVZRfZhcv9L3iD9HfCzmc06liPnMhJ1i/s7pIWLeUYJGzPf4rDbnDbgaqprNzqf1j4Oj5gTKP/8zoqZ+0ewfiNtC4xPiUWfNwX+gdPtDKP/8z42dKhqfUETctgX68MHQGINR9O//QX2+vD3o4sSBajtRr1698Pjjj6O0tBQTJkzA8ePHPaaxWq1Yvnx5s2OOnJOYmAg/Pz9s3Lix8ZEcACguLsbixYs9ps/KykJ1dbXH58XFxQDQpNPi3MC1J0+e9Jg+NTUVfn5+mDt3Lg4dOuSR19XVNY674g2z2Yx77rkHFovFY3neeOMN5OTk4Nprr0VkpMJvJ0RERERERG2gC+oDc9+70FCcBcsP73ZKHeb+M6DSmeCozoOzrgQAoNab4RN7IzTG1r9IhC5OvFOlky1evBhWqxUrVqxAYmIikpOTMWDAAOh0Ohw/fhzbt29HWVlZs50j5+j1ejzyyCNYsmQJBg8ejEmTJqGmpgabNm3CmDFjPAaRfeONN/DKK69g9OjRSEhIgL+/P3JycrBlyxYEBwcjNTW1cdrk5GSsX78et99+OyZMmACj0YikpCSkpKQgLCwMb731FiZPnoykpCSMHz8effv2hc1mQ15eHjIyMjBy5Ehs3brV6/W0ZMkS7Ny5E3/5y1/w+eefY8iQIcjNzcWmTZsQFBSEV155xes6iIiIiIiIfipoRBosP7yDit3pMPW6DSqNfJefV7y8E4YuPuxU6WRqtRrLly/HnXfeiZdeegm7du3Crl274HK5EBkZiXHjxiE1NRU33nijWM6iRYug1+uxevVqvPzyy4iLi8O8efOQkpKCDRs2NJl22rRpsFqtyMzMxL59+2Cz2RAdHY2HH34Ys2fPRkzMj7ea3n///cjLy8O6deuwbNkyOBwO3HvvvUhJOXur38SJE5GdnY2nn34a27dvx7Zt22AymRAdHY3U1FTcfffdHbKeQkJCsHv3bixYsAD//ve/8cUXXyA4OBh333030tPT2/zmIiIiIiIiurTZbDbYbE2f4TIYDB3+RlCtfwz8B81EVdZy1Bz4O/wH/bZDy6/NeQNuuwVa/3hofOTHEunS06WdKlqTHiqtGm6H8jPfXUGlVUNr8u559nOGDBmC1atXK06Xnp7e7KNAarUaaWlpSEtL88h+OgjssGHDMGzYMI/pmqPVarFs2TIsW7asxWkSExPx2muvKZYVFxcnDkirJDg4GH/729/wt7/9rd1lEBERERHR5WHp0qUebxFNS0sTh05or4BrnkDNwX+gYt8SmK+YDrXe3K5ynPVlqNi9EMC5gWoPoD7/I0ClRvB1SzuyyXSR6NJOFX2gEQP+MAIOizwIWlfRmvTQByoP1ElEREREREQda86cOXjssceafNbRd6mcozEGIWDIbFRkzkVV1nLFAW5b4rKWoXLvf4d2UGmg8QmFb88UBFz9vzB2v7YDW0wXiy5//EcfaGTHBRERERERETXRGY/6SPyv+h2qv30JVV8/B/+kh9pVhi6oD6LvPdjBLaOLGd/+Q0RERERERD97aq0PgkbMh9tei4o9Lb9IhOh8XX6nCtHPWdwmu5gXD5F75mPWnxZzW5z8irZi+Iq5vRWPkkbvtIn5qbHyMgTmyqchc4Fcfu1pHzEvHdz+cX4AIPwruX4l5X3l5W/NOpaYC5Qen5THhQrJLBLzozPkV5mbTsvr19v2hX8lHyOGvHIxLxsVIeaBuXL7ldaPUvlKLApvildav0pMp5XfMFDR30/Mlbah0joI+Vw+Tylp6CGfx5S2YWUfeR1opo9oc5vOF7B2t5hrE+LFvEyhfsXye8aJuVkbIua13eVjsLa7vP7CvpTXv2+pQ8yVuBX+/FdRHCbmUbly/SqFYf101fI5qOGY/IaQwvIYMQ89Ijegwaz8909boJwXj1RYSJN320hdKa8D/+ElYh7vaxHzHFW0mGsrNWLu1nr3phV1bJ2YB26Wv0tV9u7aN73458r70B0HU+U8NkvM03bf0uY2nS/UKG//rmDudw+qvn4ONQdXwxjZunEq6eeNd6oQERERERERAVCpNQgauQhw2Xm3CrUK71QhIiIiIiIi+i9TQgoMUaNgK8zs1HrKdj0BV30pAKCh9Ow4LOWfPQG17uytzH4Dfg1j91Gd2gbyHjtViIiIiIiIiM4TfO0SnH5nTKfWUZf7Hhw1+U0/O/Lvxp+N0WPYqXIJYKcKERERERERXVZ63Jcr5rqAOMTPanncMGPUiBbzsHGrETZutcfnUnntaSNdGjimChERERERERFRO7BThYiIiIiIiIioHdipQkRERERERETUDhxThagLWSL0Ym4Ldot5Q3RQp5bvMLvEvDV1NAQ7xbw+VCPmKqdcfn2oSsxdgfKzrfWhBq/qV2INkXOHSd4GrkC7mCutf6X1o7QPdfX2U5pf5ZDbr1S+EqX14/CRy7eb5PKVjkG13bv2t0ZQrkPMHb7yNvbLt3lVv+NYnpgrHYGq6EgxN5bI83vbfm3PODFX2oeU6lcqX2n9Ofp386p+p84o5nazwjnG6t3f71xaufz6cPkY8i2W919jpXyOU2Lzl8tXOsaVKK1fANDVyrm2Vt4GDi9/HdBY5PKr6uR9SLH8Orl8bZ28jjTeHeKoq9OJudJ1QC1fxr3eR5QoXUcGhRaIeYFNPod161Yt5mfO+Is50eWAd6oQEREREREREbVDl9+pYqspg6NeoYu9i2h9zDD4KfyZuYOlp6djwYIF+PTTTzF27NgLWjcRERERERERtV6XdqrYaspwYO2f4XYq3BfXRVQaHQZOX9IhHStZWVlYtWoVdu3ahcLCQrhcLkRFRWHkyJGYPn06brrppg5ocduNHTsWGRkZcLs799ZDJZs2bcLHH3+Mr7/+Gt988w3q6uqQlpaG9PT0Lm0XERERERERUUu6tFPFUV970XaoAIDbaYejvtarThWXy4U//vGPWLFiBbRaLZKTk3HLLbdAp9Ph2LFj2Lx5M958800sXLgQ8+bN68DWX1qeffZZZGRkwN/fH1FRUThy5EhXN4mIiIiIiIhI1OWP/1zunnzySaxYsQKDBg3C+vXrkZCQ0CSvr6/HypUrUVZW1kUtvDgsWrQIERER6NWrF95++21Mmzatq5tEREREREREJOJAtZ3oyJEjeOqppxASEoKtW7d6dKgAgI+PD2bPno0FCxa0WM7OnTuhUqmafRQmLy8PKpUKM2bMaPJ5bm4uUlNTER8fD4PBgODgYCQlJWHWrFmNj/qoVCpkZGQ0/nzu30/L2r9/P6ZOnYrIyEjo9XrExsbikUce8egIOr8t3333HW677TaEhIRApVIhLy9PXFfXXXcdevfuDZWq8990QURERERERNQReKdKJ1qzZg2cTicefPBBhIeHi9MaDPJrXduisLAQQ4cOhcViwcSJEzFlyhRYLBbk5uZi1apVeOaZZ6DVapGWloY1a9YgPz8faWlpjfMPGjSo8eeNGzfijjvugFqtxqRJk9CjRw/k5ORg5cqV+Oijj7B3714EBTV91dqRI0cwfPhwDBw4EDNmzEBZWRn0eu9eS0tERERERER0sWGnSifKzMwEACQnJ1/Qejds2IDKyko899xzePTRR5tk5eXl0GrPbvb09HTs3LkT+fn5zd4FU1ZWhnvuuQehoaHIzMxEbGxsY7Zu3TpMmzYN8+fPxwsvvNBkvszMTMyfP1+8+4aIiIiIiIjoUsdOlU5UVFQEAIiOju6S+n18fDw+Cw4ObvX8a9euRXV1NVauXNmkQwUApk6diqeffhrr1q3z6FSJiIjA3Llz29fonxmnwg1Kvqflx6FcevkJPt8z8kDQ9aeV7iDSKOSALVDOfU7LZRgq5TdPKS2D06ATc8cReSWHHmgQcyU1PeT6g3NcYl4bLW/DOsjbSGOT15/K5d0+pLT9VPLied0+pWPEFiyvf78TcgMb/L1bPy6Fq6jS/q20/OZT3u0/+mrlN7vVhcnbWKkMa6y8kVTRkWJu6N9NzG1i2orzXKh8DNUotF+JWSsPZu9Wy9vYEinvw0rlOxTWn2HTPjGvmj5CzO1mMYYtSM5dWu+eNG8IkHOtRc7r5BuFURMjH8Q+Z+RcqX1qhUtMZU95/3CY5PkBQKNwkGgtSo9We7eN7KEOeYJa+RgsqZePgYv9wfD6MDm3hjvF3D9X+buWROkc3eAvz/9NaXcxTwgsFfMzZ+QKunWrFvNwg5wTXQrYqXIZSklJwZw5czBz5kzs2LED48ePx5gxY9CzZ882lbNnzx4AwN69e3H06FGP3Gq1orS0FKWlpQgNDW38PCkpyeNxn+buhJk1axYCAwPb1CYiIiIiIiKiiwU7VTpRREQEDh8+jIKCAiQmJl6weuPi4rBnzx6kp6djy5YteOeddwAAffv2xcKFCzF58uRWlVNeXg4AePHFF8XpLBZLk06V5saPae5RoBkzZrBThYiIiIiIiC5ZfPtPJxo1ahQAYMeOHV6Vo1af3UwOh+ftlVVVVc3OM2DAAKxfvx7l5eXYvXs35s+fj6KiIkyZMqVxrBcl/v5nb+c7cOAA3G53i/9++mhQc2/waW6+uLi4VrWDiIiIiIiI6GLETpVONGPGDGg0Grz66qsoKSkRp7XZWn4g9tzbdQoKCjyy7OxssVydTofhw4djwYIFeP755+F2u/HBBx805hrN2ec4nU7P5z2HDRsGANi9e7dYBxEREREREdHPETtVOlGvXr3w+OOPo7S0FBMmTMDx48c9prFarVi+fHmzY46ck5iYCD8/P2zcuLHxkRwAKC4uxuLFiz2mz8rKQnW156BPxcXFAACj0dj42bmBa0+ePOkxfWpqKvz8/DB37lwcOnTII6+rq2scd4WIiIiIiIjo54ZjqnSyxYsXw2q1YsWKFUhMTERycjIGDBgAnU6H48ePY/v27SgrK2u2c+QcvV6PRx55BEuWLMHgwYMxadIk1NTUYNOmTRgzZozHILJvvPEGXnnlFYwePRoJCQnw9/dHTk4OtmzZguDgYKSmpjZOm5ycjPXr1+P222/HhAkTYDQakZSUhJSUFISFheGtt97C5MmTkZSUhPHjx6Nv376w2WzIy8tDRkYGRo4cia1bt3q9nt5//328//77ANDY+fT+++8jLy8PwNnxYP70pz95XQ8REREREV1ejj+n9EbLpuJnNcBelYdTr/cBAPjE3ISIX272mM56ei9Ov30dzP3uQdi41Y2fl3x0H2q/e6PF8v0HPYKQsc82+azk4/tRm/N/UBuDEfObfKi0zb997vS7N8JasAs97j8BrSkCAJq0tZFaB41vOIzdRyFwyGzow678sd0FmbAc/Q+spzLgqM6H226B1j8Wvj1TEHDNE9AYA8X1Q23DTpVOplarsXz5ctx555146aWXsGvXLuzatQsulwuRkZEYN24cUlNTceONN4rlLFq0CHq9HqtXr8bLL7+MuLg4zJs3DykpKdiwYUOTaadNmwar1YrMzEzs27cPNpsN0dHRePjhhzF79mzExMQ0Tnv//fcjLy8P69atw7Jly+BwOHDvvfciJSUFADBx4kRkZ2fj6aefxvbt27Ft2zaYTCZER0cjNTUVd999d4esp2+++Qb/93//1+Szb7/9Ft9++y0AYMyYMexUISIiIiIiD4HDnvT4rDr7BbgaqprNfqr+xDbUn/wUPj2ub1O95v6p0Jo9X0ttiBzW5P+uhhpYctcDUMFlLYfl6H9gTryjTXUBgDYgAea+086WabfAVrQXlu/fRt2R9xFx+0cwRo0EAJzZPBXO+lIYo0bB3O9uACpYT2WgKutZWI78G1F3ZEBjUnjnPLWayu12yy8394LVasXx48cRHx/f5JGTc2w1ZTiw9s9wO+2d1QSvqDQ6DJy+BAa/kK5uCrWB0n4naWsvt7duUC8Vc22N/ISerta7+q2D6sTcXdy29dccp8lzvJ7zac3y8W/8xlfMlZbBUasT86Bv5NxuFmPUR7rE3D9X3oZ1EXL5SgJz5VO4JdJz4Oi2qO0lbx/zEXn9mU571z6l9etz2rtjRGn7KlGa3+Ent7+zj3Gl9QcAcZvkbdzgL//9xXTCIuaVff3E3Hyq5THFWqNsgHyeavCX54/YJ9dvyCsX87JR8kGsr5G3gb7acxD689V2l69Lfvly+2tim/9L6DkBa+Vx02qnDBfz09fJx7i+UiPmSlw6ufzggaViXn4gVMz1lfI5SCtfYlAXJbcv/hrPx6vPd2JXjJjbQuVrKKC8jg3yLuz1edDW2yrmmkJ5H3QEysuoL5HPQU69vA00Dd5dBxuU2lfh3T7e2ZSuQ5/88hkx/1vpGDEfZDoh5u+cHiLmN3fLEfNH+24Xc8nJ1b3hqMlH/KyGZvNzd39o/ePgqDkBfberEDX1iyYv3VC6UyVyymcw/qQDpTk1B/+B0u0PwX/wLFRnPw9jj2RE/nJLs9NKd6r4xN6MiNs+aDJ9+RfzUbXvrzB2H43IyWfXV+WXT8Pc7y5ozVGN07ndbpR9+nvU7H8Fflc+hNDk5xXbTa3TpXeqGPxCMHD6EjjqvfzW2Em0PmZ2qBAREREREV2mdEF9YOx+HWq/ewOWH95t1x0kSmoOvg6otQi8+g9oKNkP68lPYK/Oh84/VnlmBQFJM1G176+wFX/V+FngNbM9plOpVAgc9mfU7H8F1oJdXtdLP+ryx38MfiHsuCAiIiIiIqIuETQiDZYf3kHF7nSYet0GlUa+E7ctGspyYCvaC5+4CdCYwmHudxesJz9B7aH/Q9CI+R1WD1TKd2Wp1Lr/Ttrl3QCXFa5NIiIiIiIi+tnS+sfAf9BMVGUtR82Bv8N/0G9bNV/NwX+gPu+jJp+ptEYEXvP4j9McWgMAMPe7EwBg6nXb2cdwctYicPiTUKm8eyFv9f6XAQCG8GuU2/vftvjEyuN5UtuwU4WIiIiIiIguOjabDTZb07GjDAYDDAZ5rJ72CLjmCdQc/Acq9i2B+YrpUOuVBxyqPfS6x2dqfUBjp4rbaUftd/+ESu8P34RJ/83N8E2YBMvhf6H+xA74xt7U6jbaK4+iYvfCs2U76mAt2gdbwedQaYwIGrlQnNd25htU7lkMtW83BAz5Y6vrJGXedYsRERERERERdYKlS5ciICCgyb+lS+UXPbSXxhiEgCGz4ao7g6qs5a2aJ3LKZ4if1dDkX+xvSxrzumMb4aovgan37VBrfxxY3a/f2Teo1h707JSROKqOonLvYlTuXYyq7BfgqMqDKXEqoqZlwhjV8sDi9qpjKP7PrYDbiW4T3oTGRx7Em9qGd6oQERERERHRRWfOnDl47LHHmnzWGXepnON/1e9Q/e1LqPr6OfgnPeR1eTUH1wDAf19r/CNjTDI05u6oO7YJTms5NMbgVpXX3Nt/lNirjuP0+pvhtJYifOLb8Okxtk3zkzJ2qhAREREREdFFp7Me9WmJWuuDoBHzUbrtAVTsWQxzv7vaXZaj5iTqT2wDABStv6HF6Wq/+xcCrvpdu+uR2KuOne1QsZxGt4lvwbfnxE6p5+eOnSpEREREREREAMz97kHV18+h5uBqGCOHtbucmpy1gNsFQ9Qo6IL6eE7gcqD2uzdQe+j1TulUadKh8ot/wpRwS4fXQWexU4WoK4XZxNjmK7/OzeHn3bBIUSFVYn6yRu9V+QBgDq3zav76SJeY+xjtcgEKeV1kgJg7zHL9Tl85r+4txorzK6mtk0/j1nDvylfafvUWPzF3q+V9VLF9CseIvdZHzuXmwdbNIeaaOrn9SttPY5L3v84+xlujKk7+C6BdYZw+p8JAfvWh8iseHUajmOtr5XVcFynGiNwtb2N1g1x+5ZBwMa/tLi+fzxmNmBtLG7wq36mT15/S9tNMafkZfAAwv71HzHW/TBJzm75z/8Lcw79SzIuDgsRcbZfPoQ6TXL89yCnm/nqF63yoPL8uzCo3AIDDIZ8HtRb5PKKXvwooaiiTvyvoK+V9WOWQt4GxRIzh1Mvlu738bUflkI9ha1TnXke8pXQd+sIaI+afFshfZLrFV4v5taFHxLzAJh+jXUGl1iBo5CKc2XQ7KvYsblcZbrcbtYfWAlAhbNxq6AJ6NjudvTIXttN7YCvOgiH8ai9a/ZNyzz3yYyk826HS69YOK5s8sVOFiIiIiIiI6L9MCSkwRI2CrTCzXfNbT34KR/VxGLuPbrFDBQDMV9wL2+k9qDn4eod2qhStvxnOmhMwRAxDQ8kBNJQc8JgmaMT8Dqvv546dKkRERERERETnCb52CU6/M6Zd89b891XL5iumi9OZ+0xGecZjsHz/NoLHPA21Vr7zrLUcNfkAAFvRXtiK9jY7DTtVOg47VYiIiIiIiOiy0uO+XDHXBcQhflbLj2Aao0a0mIeNW42wcatbnLfbhDeACW8otlFt8Efc75o+gxc5eXub2/pTbZmWvNf5D2sTEREREREREV2GuvxOFXedA1AYJK7L6NVQ+V7YVZSeno4FCxbg008/xdixYy9o3URERERERETUel3aqeKuc8C5vRi4SPtUoAY0N4Z3SMdKVlYWVq1ahV27dqGwsBAulwtRUVEYOXIkpk+fjptuuqkDGtx2Y8eORUZGBtxud5fU/9N2NCc2NhZ5eXkXtkFERERERERECrr2TpUG18XboQKcbVuDC/D1ogiXC3/84x+xYsUKaLVaJCcn45ZbboFOp8OxY8ewefNmvPnmm1i4cCHmzZvXYU2/VKWlpXl8FhgYeOEbQkRERERERKSgyx//udw9+eSTWLFiBQYNGoT169cjISGhSV5fX4+VK1eirKysi1p4cUlPT+/S+nsF/P7C1pcrj/Ct6WcRc9O3JjGvD5PrL67wF3NVg0ouAED3T+VpLDOccgFbg8XYobAMKAgQ44jxJ8X8aHd5Gxjy9WLunysPTVU5RB4oTO9rF3MlToN8Gndp5bvQAr/TyBUkyNvPolC+0yAXr9Q+g8IxEnpA7pkvuF4uX2kfV9q+SkOTVfaTy9eHWcXc3mBUqN97ZdfK+6imRCfm1b3lddz9U3kbWSLkdVjeQ85VDjFG/q8U/npjkY9xQF6+sC/lvK6bvA8cmSLXr1S+3SyXbwsSY8Xtp/tlkpjHTflWzLWxPeQGKHB0DxHzanQX83g/heWrqWtzm85n95OPj6KPEsS831cFYu7Il69hAFCyqa+YXz9aHqyzu6FCsQ7JjhK5/hlRX4i5TuEg/qwmUcyLrPJ3GW9FGKvFfOP2oWLuDJOv895+D1BiL5GvIwv+NVXMfa4uF/O3X5Lvtq/sJ3+PUAXIy/+UfAoiuihwoNpOdOTIETz11FMICQnB1q1bPTpUAMDHxwezZ8/GggULWixn586dUKlUzXY45OXlQaVSYcaMGU0+z83NRWpqKuLj42EwGBAcHIykpCTMmjWr8VEflUrV+MiNSqVq/PfTsvbv34+pU6ciMjISer0esbGxeOSRRzw6gs5vy3fffYfbbrsNISEhUKlUfHyHiIiIiIiILju8U6UTrVmzBk6nEw8++CDCw8PFaQ0GhT/ntkFhYSGGDh0Ki8WCiRMnYsqUKbBYLMjNzcWqVavwzDPPQKvVIi0tDWvWrEF+fn6Tx24GDRrU+PPGjRtxxx13QK1WY9KkSejRowdycnKwcuVKfPTRR9i7dy+Cgpr+GezIkSMYPnw4Bg4ciBkzZqCsrAx6vdJfAs/617/+hby8PPj6+mLQoEEYPXo01Gr2/REREREREdHFh50qnSgzMxMAkJycfEHr3bBhAyorK/Hcc8/h0UcfbZKVl5dDqz272dPT07Fz507k5+c3exdMWVkZ7rnnHoSGhiIzMxOxsbGN2bp16zBt2jTMnz8fL7zwQpP5MjMzMX/+fPHum5bcddddTf7fp08f/POf/8SQIUPaXBYRERERERFRZ+ItAJ2oqKgIABAdHd0l9fv4eI5FEBwsj19xvrVr16K6uhpLly5t0qECAFOnTsXgwYOxbt06j/kiIiIwd+7cNrV10qRJ+OCDD1BQUIC6ujrk5OTg0UcfxdGjR3HTTTfhxIkTbSqPiIiIiIiIqLPxTpXLUEpKCubMmYOZM2dix44dGD9+PMaMGYOePXu2qZw9e/YAAPbu3YujR4965FarFaWlpSgtLUVoaGjj50lJSR6P+zR3J8ysWbMa3+zzv//7v02yfv364bnnnoO/vz8WLVqEZ555Bs8//3yb2k9ERERERETUmdip0okiIiJw+PBhFBQUIDFRHrm8I8XFxWHPnj1IT0/Hli1b8M477wAA+vbti4ULF2Ly5MmtKqe8/Oxo3y+++KI4ncViadKp0tz4Mc09CjRjxgzF1yU/+OCDWLRoUeOjVEREREREREQXCz7+04lGjRoFANixY4dX5ZwbqNXh8HzlXFVVVbPzDBgwAOvXr0d5eTl2796N+fPno6ioCFOmTGl1B4W//9lX1B04cABut7vFfz99NEil8ny9Y3PzxcXFKbbh3NuDLBb51cJEREREREREFxo7VTrRjBkzoNFo8Oqrr6KkpESc1maztZide7tOQUGBR5adnS2Wq9PpMHz4cCxYsADPP/883G43Pvjgg8Zco9EAAJxOz3fIDxs2DACwe/dusY7OtG/fvlZ3wBARERERERFdSHz8pxP16tULjz/+OJYuXYoJEybg3XffRXx8fJNprFYrVq1ahZKSEixdurTZchITE+Hn54eNGzeivLy8cbDZ4uJiLF682GP6rKws9O7du/FOk3OKi4sBAEajsfGzc2WdPHnSo+MiNTUVixcvxty5czFy5Ej079+/SV5XV4f9+/dj+PDhrVgbLTt+/DgCAgI8BtEtKCjAb3/7WwDAnXfe6VUdFytDhZxXVcmv2g4tdYm5Syv3myqVr3F43nX0Uz5nWu4QBIDT1Z4DJp8v3Mtl0NWKMYqq/cVcXSWfBpW2kY9C+6sVym+wy8tnDpPv0tIotM+t1Yi5UvuLFbafvlIuX2n9KbVPcf0r7H/6Srn9SpTWT4NZ3n5K68eml49Bg8L8HcGhcJwbKuTc0aCwj52pF3OXVl4HSucAh68Yw61wjHm7jn1LPe8iPZ9LK58D7AFy/UrlN1jl5VNaf0rHoNI+qo3tIeaO/JNirkSrkttv7yEPwG88LV8kVNV1bW7T+TT+8g5o6xcg5m5/k5grrV8AqFY4T58IkteRzeXdrwN5ZXL5zih5GxbZQ8RcqX1n6s3y/E7vli/CWC3mSudIq9677wHeUjrH2QPl61y0r/w95LS/vP2VroOaSN6NTpc+dqp0ssWLF8NqtWLFihVITExEcnIyBgwYAJ1Oh+PHj2P79u0oKytrtnPkHL1ej0ceeQRLlizB4MGDMWnSJNTU1GDTpk0YM2aMxyCyb7zxBl555RWMHj0aCQkJ8Pf3R05ODrZs2YLg4GCkpqY2TpucnIz169fj9ttvx4QJE2A0GpGUlISUlBSEhYXhrbfewuTJk5GUlITx48ejb9++sNlsyMvLQ0ZGBkaOHImtW7d6tY4yMjLw8MMP47rrrkN8fDyCgoJw/PhxbN68GRaLBXfddRfuuecer+ogIiIiIiIi6mjsVOlkarUay5cvx5133omXXnoJu3btwq5du+ByuRAZGYlx48YhNTUVN954o1jOokWLoNfrsXr1arz88suIi4vDvHnzkJKSgg0bNjSZdtq0abBarcjMzMS+fftgs9kQHR2Nhx9+GLNnz0ZMTEzjtPfffz/y8vKwbt06LFu2DA6HA/feey9SUlIAABMnTkR2djaefvppbN++Hdu2bYPJZEJ0dDRSU1Nx9913e72OBg8ejMmTJyMrKwtffvklamtrERgYiFGjRuHXv/41pkyZ4nUdRERERERERB2taztV9Oqzo7rId511HTXOtrEDDBkyBKtXr1acLj09vdnXD6vVaqSlpSEtLc0jc7vdTf4/bNiwxvFQlGi1WixbtgzLli1rcZrExES89tprimXFxcV5tKU1rrzySqxdu7bN8xERERERERF1pS7tVFH5aqG5MRxouEh7VfRqqHx5Mw8REREREREReeryHgOVrxZQGGSOiIiIiIiIiOhi0+WdKkRERERERETeyqspR8L6JU0+06rU6OZjxshucZg98HoMCW3+rVputxuJG/6KozVlmBDdFx/c9JsW69G8/kckBoQh55dPtLpt35QV4JXvd+OzomM4VVcFq9OBYIMvBgRFYHz3RNzTawjCjE3fZqV5/Y9N/m/UaBGg90EvvxAMC4vF3b2uRlJwVLP1Wew2PJ/zOTbk7ccP1SWwu5wIM5oR7xeMUd3icV+foUjwD211+6ll7FQhIiIiIiKiy0aCXwjuShgMALA4GvB16Smsz9uP/5w4hI/HPYDREQke8+wsOoqjNWVQQYWPC35AYV0Vonzl16K3hsvtwhNfbsbyQxnQqNQYHR6Pm7onwqTV44y1FnvO5GH2lx8gPftjfPfLJ9Dd1LTOEIMvZvYbBQCwu1wotVrwTXkBlh/KwPJDGUjtPRQvjvglDJoff7WvsVsxevOL2F9xGr38QnFXwmCEGEwotVrwZekJLDvwCXr6h7BTpYOwU4WIiIiIiIguGwn+oUi7alyTz5bt/wR/ztqCtK8/wqe/+K3HPP/4YR8A4LEBo/HswQz8X+5XmJN0g9dteTJrK5YfysDgkO54a+w96NVMR8bXpafwp6zNqHfaPbJQo8ljWQDgYMVp3LvrLbyeuw8NLgfWjr6zMfvboc+wv+I07uszDK+M/BVUKlWTeY/XlMHmdHq9bHRWx7zahoiIiIiIiOgi9es+QwEAWWWnPLJKWz3ey9+PAYERWHDVePjpDHg9d1+73mx6vh+qSvDMwZ0IM5qw5eb7m+1QAYDBodH4eNyDiDMHtbrsAUGR2DruAYQZTfjn0a+xr+REY7b7TD4A4Ld9R3p0qABAvF8I+gZ2a+PSUEvYqUJEREREREQ/C1q156/Abx37GlanA/f0uho+Wh1uj7sSR2vKkFF01Ku61h75Ck63Cw8kjvAYL6X5tmnaVH6Y0YwHE0cAAN45/k3j5yHGs2+C+aG6pE3lUftckE4Vb3v4iNqC+xsRERER0aXPZrOhurq6yT+bzdauslb/sBcAMKpbvEf2j9x9UKtUuPO/47DcnXB14+fe2HMmDwAwtpkxXDrKmP+W/VXpycbPfhWXBAB4IPNdzN63CR8XfI8yq6XT2vBz16ljqmg0Z3va7HY7fHx8OrMqokZ2+9lnEc/tf0REREREdOlZunQpFixY0OSztLQ0pKeni/MdrS7FguyPAPw4UO2nRUcR7uOHp675nybTflNWgK/LCnBjVJ/GgWnHRiQgxhSI9/IO4IXh9QjQt+932aL6GgBodsDbnaePeNwJMyYiAWMje7WpjnNll57XaXJLTH88c00K0rM/bhzQFjg7gO+47on4/RXXoXdAWJvqoZZ1aqeKTqeDwWBAVVUV/Pz8mn2ei6gjud1uVFVVwWAwQKfTdXVziIiIiIionebMmYPHHnusyWcGg0FxvqM1ZVj4zbYmn0X4+CHjFzM9xjU5dwfLPb2ubvxMpVLhroSrsXT/DvzrWDYe7juyvYvQooyiox5tnD8Ibe5Uacn/DhiD3yQOw9ZT32P3mTxklZ3C3pITWHX4C/wjdx/eGnsPbonp3yF1/dx1+tt/QkNDUVBQgFOnTiEgIAA6nY6dK9Th3G437HY7qqqqUFtbi+7du3d1k4iIiIiIyAsGg6FVnSg/dXP3RHx48/0AgBJrLdbmfoU/ZW3Grdv/gT0pj8KsO1um1WHHv45lw6w14JexA5uUcU+vs50qa3L3tbtTJdzHD99VnUFhXZXHwLBpV41rfKvPumPZuCvjn+2qo7CuCgCaHbPFT2fE5PgkTI4/+zhQVUM95mZ9iJcOf4H7P38H46fMg17DFwJ7q9PXoL+/PwCgtLQUBQUFnV0d/cwZDAZ07969cb8jIiIiIqKfrzCjGX8YOBZVdiv+8u12zPt6K1YMmwQAeC//ACob6gEAfm/8udn5vyo9hf3lhbgyOKrNdY/oFoedRUexs+gokqN6t38hBOceIRoS2kNx2gC9D14Yfhu2nPoO+bUVOFBRhKtDozulXT8nF6Rbyt/fH/7+/rDb7XDyfdjUSTQaDR/5ISIiIiIiD3OuvAGv5+7DS4e/wKNXXIc4v2C8/t+BaH8VdyX8dUaPeU7VVeHjgu/xjx/24bnht7a5zum9hmDZgU/w9+/34PdXXIdQo8nbxWiixFqLV7/fAwCY0nNQq+ZRqVQwafUd2o6fuwt6r49Op+MvvUTn8SmV31RUbZcflXNp5dytMFavSqF8tU35UT1NrTwCu8suD+zl7TI0eI771YSlyvMC2YRO3gZK9evqXGKutskFuHTy8juc8kvalN68p26Qc6X177Ir1K9QvtL6U5pf6RhxqxXar7B9tRYvjzGFq6jS8ikdg4ZyeX678tsZFSmtI5fCZVtpfsVt5O05IFCuX2Oyy/XrvBvU3K3wHkWlfUR5/SnMr7D+lM6RSvUrcXQPEXOtyrsXTTry8sW8YWC4mOsKKryq3+3vK+aq2noxd2kDxdwa5SfmOj+Fa1grhOjlN35E6Ku9rkPSXStvA6NKPlF+j4iObE6bdTfI7dcovIhGXy4fA45WfNfyhtJ1pCHIu3NAXbT8B3O/o/I51uFV7W3jo9Xh8YHXY9be/2Dxt9sxN+kGfHr6KOLMQVg39p5mh6ioaqhH93UL8c9jX2PZNf8DQxsflekTEIbZA67HsgOfYOK2v+OfY+72GNMFQOPdMm1xqKII03f9C2estZjea0iTO1VeObwbg0O645qwGI/53s8/iO8qzyBQ74MBQV17fF0u+AAVERERERERXfbu7zMcTx34FG8c+QoNLgfccGN6ryEtjvkZoPfBrbED8NaxbLyff7DJ3SCn62qQ+tm6ZucLNZjw9NAUAMDiq8ejweXAikO7cMV7T2F0eDyuDI6Cr1aPM9ZaHCgvxL7SkzBrDUgK9hwXstRqaXyTkcPlQpmtDtllp7Dvv69Qvq/PMKwcfluTebYWHMZvd29AL79QjAyPQ5SvPyz2BnxTXoDPio9DrVJh5YhftrmTiJrHtUhERERERESXPaNWhz8NTMbv976PjNNHoYIK03sNEeeZ0fsavHUsG//I3dekU6XabsXaI181O0+sOaixU0WtUuOZobfgroSr8crh3fis+Bi+/GEfbC4Hgg2+6B8YjqeG/A/u6XU1uvl43r1WZqtrfEuQQaNFgM6I3v6h+MOAMbg74epmx3r565CJGNUtDtsKc/FZ0TGcrj97R1p33wBM7zUEv+t3LcdS6UDsVCEiIiIiIqJLXpxfMJypz4jTzLziWsy84tpWl3ljVB+PMpXqaM5VId3x8qhftWme9tQDAIkB3ZA4sBv+OPD6ds1PbePdg65ERERERERERD9T7FQhIiIiIiIiImoHdqoQEREREREREbUDO1WIiIiIiIiIiNqBA9USdSG7ufnXt52jrfWu31NnkXOl8rUWuX0A4PA3yhNY5NOM+ZRNzO1muXxdrVvMa8RUmdI61FU7xFyrsPxKfds2k17M5RTQ1SpMoESh/d6WrzS/0jFSG20Qc6V92Ov1o0CpfIdJ3v52s3flt4b/8HIxP2PyF/Nu3arl+YvDxLw+XD6GHeHyOcJ4TN4HNL4NYm4a6N1KrPBy+YIHlnZq+VqFc5hS/T38K8W8Gp6v/zyfvUew3AAFDQPDxdywaZ88/5jBYl4XoXQWlfkW+Xg1v67G7tX8ABAVVinmowJyxTxOJ+8DSnaHxIt5rFa+EhtV8jq41l9uv0EtX4dtLu9+3emhk8+RSudp95Xy8jtqvdsHla7T9QrfM/yOasT8qK98DAbvl+cvv9Ip5t4dQUQXB96pQkRERERERETUDuxUISIiIiIiIiJqB3aqEBERERERERG1AztViIiIiIiIiIjagZ0qRERERERERETtwE4VIiIiIiIiIqJ2YKcKEREREREREVE7ePfidiLyiq7W7dX8hmqnmNvNnX+I60+WK0wRLqZ2f+/aaDervJpfW3tp9y3rLHJuN8m50j4EeLd+vW2f0jESmFMl5lUJgXIFCrr6GNPVdmrxAIAzx4PF3FisEfPy4lAxj82yinlttEHM68Ll3G4WY0XlB+T2K4nKdYi5ziLvI+WQ61cq31dh+9TJp2DF5S8OChLzeD/5GDWe9m4n1hVUiHnDmMFirs74WswD42LF3N5DPj5Un2XL8z84UszrIo1irqtVOkcDhSWBYp4Z2FvM843eHQN5ZfI6yo/xE/Myp3wh+Lxabv/3Vd3E3Ob07jzd06dEzH2L5fnLi33FvLO/h/gUy9fx+nD5GE6IkRcw/0y0mCtdQ/zibWJOdCm4tH+bICIiIiIiIiLqIuxUISIiIiIiIiJqB3aqEBERERERERG1AztViIiIiIiIiIjagZ0qRERERERERETtwE4VIiIiIiIiIqJ24CuViYiIiIiI6JKXV1OOhPVLcHP3RHx48/0AgAXZH2HhN9sAAG+OuQvTel7lMd/DX6zHq9/vwY7xD2FsZK/Gzx0uJ145vBv/OpaNnMpi1DvtCDH4IsYUiBHd4nBPryG4KqR74/Spn63D2iNfIXPiIxjezfOV7UerS7Hq8Bf49PQR5NdWoNZuQ6DeB/0Cu+GGqN6Y3msIYs1NX1O+q+goNp3Iwddlp/B1WQGq7VZM7zUEr183tUPWGXmPnSpERERERER02Zv/9Vb8Ku5K6NQaxWmdLhd+se017CjMRZSvP34VdyXCffxQ2VCP7LICvPDd5zBp9U06VSQrDmbgT19thsPtwvCwWNyVMBj+OiPKbXXIKjuJBdnb8Jdvd+CzX8zENWExjfO9nvsl1h75Cr5aHWJMQaiusrZ7+alzsFOFqAvVh6rE3B7kkHNf+Qk+h1Gu3x7kFHOXQfkJQXv3IDFXBzaIuaWbj5grLYMSU4B84amv1CnUL2+jugi9mDcEu8Tc6SvnGp2cK60fW7CcK+1D6kCbQvny9lPJu5hi+1ROef37mQ1i7pI3j9frx1Apb5/aHvL8Sseg2t75l2l9hfzFUl8lz6+2y9tIV1Ev5kazvIwOo5wrbcP6EpOYmyrl9itRybsAVPJpHHqF+pXKN1bK+1BNjLz+lOpX2gd1NXVirqqWc28pnYMD4zz/Unw+R16+mMtXCABK5Suco31Pe//LkdMir4OcynAxL/OVjxEl1jq5/i/qeom5r1r+nlBs9Rfzsjq5/XaH8i/PkgKb/D1HaRsrnWNt3RROEl5SOoaVrkNXBhWK+XGD3KHgUrhGXEgJfiE4WlOGVw7vxu+uuFZx+n8dy8aOwlyM656I/9z4a4+OmKK6ahTWVbeq7lcO78Yfv9yEeHMw1l1/D4aE9vCY5oeqEqRlf4Rqe9PvXjP7jcIfB4xF34Bu+LL0JEZtfqFVddKFwzFViIiIiIiI6LL2vwPGIEjvg798ux01duUOzT0leQCABxJHNHtnS4SvPwaHRiuWU2Grw5++2gyDRovNN/+m2Q4VAOgTEIa3xt6NMRE9m3w+JLQH+gdFQKPmr+4XK24ZIiIiIiIiuqwF6X3wxJXJOGOtxbMHMxSnDzGcvQsqt7rEq3rX5+1Htd2KX8VdicSAborTa1vxaBJdXNipQkRERERERBcdm82G6urqJv9sNvnRZMkj/a5FD1Mglh/MQHF9jTjtrTEDoFWpMf/rrXj4i/XYdOIQTrfycZ/z7Sk5+5jh2Aj5UTi6dLFThYiIiIiIiC46S5cuRUBAQJN/S5cubXd5Rq0OaVfdDIujAQu/+VicdnBoNF6/bir8dUa8+v0e3LrjdUS/vRCxby/Crz9bh6zSU62qs6jubOdNlK/n+EDflBVgQfZHTf69n3+w7QtGXYoD1RIREREREdFFZ86cOXjssceafGYwyIPUK7m31xCsOJiB177fi//tPwa9/ENbnPbOhMH4ZexAbCv8AZnFx/F1WQG+OJOH/zvyFd44moUXht+Gh/qObHdbvikvbHzd8znTew3BrbED2l0mXXjsVCEiIiIiIqKLjsFg8LoT5afUKjX+cvUvcOuO1zE3awvevn66OL1Rq0NKTH+kxPQHAFgddjx7MAPzs7fif/f+B7fGDEBEM3ehnBPuYwaAZt8UNKP3NZjR+xoAwJ4z+XyzzyWKj/8QERERERHRz0ZKTH9cFx6P9Xn78WXJiTbNa9TqMHfQjRgd3hMNLicyz+SJ04/oFgcA2Fl0pJ2tpYsd71QhIq/Y/XVKU4ipvtYlz22W+351tXLtTjmGtvbi7lv28W1QmuKCtIOa16Cwf14KtBY5VzrGlKiq6+Tyq41irldYx8YSpW0gf9XRys1TpKtWOMcptF/xHKdQvhKfM/Ly283y/A6TV9V7ze3v69X89h7BYq50BXPk5Yu5+7qr5PIVjh9tQZlcf/cQuQAAmjp5H6qweLcOlbjr5H3spFXeBmaNPOhocZ28k1rq5LsYnA7vztNF1pbvQAAAR+eu3k6nMXl3jlHiMMvf87rSX4f8D0ZtfgFzvtqM3gFhbZ7fpNO3arpfxV2J2V9uwvq8/ZiXdFO76qKL26X/bZCIiIiIiIioDYZ3i8WtMQPwadFR7CjM9cjXHcvGJ4W5cLvdHtmeM/nYefootCo1hofFivUEGXyxbMj/wOZ0YOK211oc4Layob59C0JdjneqEBERERER0c/OkiG/wKaTOTha43nX2N6SE3g+5zN09w3AdRE9EWMKRIPLie8qi7Gt8Ae43G4svfoX2Al4owAARLhJREFU6G4KUKznwb4jYHHY8KevtmDopucwIiwWg0Oj4a8zosxmwfdVZ7Cr6Dh0ag2GhsU0mffz4uNY/cNeAECJ9eztb5nFx5H62ToAQKjBhKeHpni7KsgL7FQhIiIiIiKin53EgG74de+h+PsPezyyx/qPQS+/EHxc+AO+KjmJTScOwe5yIsLHD7+MHYgHE0cgOap3q+t6bMBY3BIzAKu+y8Snp4/gjSNZqHM0IEBvRL/AcMwbdCNm9L4Gseamj8wdqS7F2iNfNfnsaE1ZY0dQrDmInSpdjJ0qREREREREdMmL8wuGM/WZJp+lXTUOaVeNa3Gel0f9Ci+P+pXH5z3MgZh5xbWYecW1ra7/9eum4vXrpraY9/IPxfJhk1pdHtD0DUF0ceKYKkRERERERERE7cBOFSIiIiIiIiKidmCnChERERERERFRO7BThYiIiIiIiIioHThQLVEX8in1fO/9+eoqNGKuq3OKudYq95vqFMrXWlRiDgC+3xWJuasyXG5DnUtug8IyuBXOYpYqo1y+Tt4GWqu8DnyLGsRcXy7X77DJ5Vv08vzBVjGGoVzOlda/q1LvVflaL9undIxoam1irm7wEXNdrVy/0vqxBcr7p9LyuXTyMag0f0eoSZDPI0ptdJjkbdQQGyLmtdEGMa8Ll48Ru1mMoetfJZf/g79cgIKGYzoxV9pH6qIU1p9S+f7y9mlQeNNnfbhcvz1I3j/sfnL7NP6+cgMUqGrrxdy3SD7GVZ9lyxXExYqx+7qrvCrffcVIMa8e0l3MdbXy+gcAhMnnwVHdj4t5tLFCuQ7BWzUmMZ8SvE/My5zy/LVO+RzxvcYh5jand7/uXB2QL9df3k/My6Plbaj0Xcxbytch+XvG/ogoMVcrfI9pzXdJoksd71QhIiIiIiIiImoHdqoQEREREREREbUDO1WIiIiIiIiIiNqBnSpERERERERERO3AThUiIiIiIiIionZgpwoRERERERERUTuwU4WIiIiIiIiIqB28e3E7EXlFV+cSc3uwnFfH6MS8LkKu32Vwi3mDQg4ApydEibkmuE7Mq2N8xVxpGXS1cq4xOMXcHuwQ89oGeR3bAo1iXt/DLuZK+sQUi3n+yRivyq+OkS8DStvPVi5vP1tQm5vURMBx+RgoHhko5g0Kx1BDsFy/xiavH7tZnr8+Uq7faZL3T/MJ745xh59cPwD07lcg5seCQ8W8Z3ipmBcVy/tofbh8nnGE28Rcf9Ig5qEmeR/2uaZKzJUUlissn8I+kHDlKa/KtwXL60/dIMaIv+akmPvr5fVf9FGCmNv6BcgNUODSBno1v/3BkWLukE/hitcY9xVy+SGvfCHmdbcPF3O7WSM3AICPr7yPRxsrxDzWIB/DSvx85H3EWz2M5WJe0SBfhxpcnfvrjrZePgZNJ5S3YWfyKZXbVx8uz3/0hDyB0tpVOobOnPTyiwLRRYB3qhARERERERERtQM7VYiIiIiIiIiI2oGdKkRERERERERE7cBOFSIiIiIiIiKidmCnChERERERERFRO7BThYiIiIiIiIioHfhKZSIiIiIiIrrk5dWUI2H9EgDATVF9sHXcAx7T7DmTj1GbX8D0XkPw+nVTAQCpn63D2iNfIXPiIxjeLVasI/nDVcgoOtb4fxVU8Ncb0D8wAncnXI37E4dBrWp678LO00dww9aXm3xm0GgR5eOP5Kje+POVNyDOL7gx+/DUd1h7JAvflhegqL4GDU4nYsyBGNktHo8PvB59AsLatmKoU7FThYiIiIiIiC4r2wp/wCeFuUiO6t0p5T/WfwzMOj2cbjfyayvw7/wD+OJMHrLLCvDyqF81O8/VIdGY2KMfAKCywYqMoqNY/cNevJe3H7v/5/fo/d/Okg9PHcbeknwMDY3B+O7+0Kk1+K6qGGuPfIV/HfsaH9x4X6ctF7UdO1WIulBJkkbM9f5WhRJ0YqpyynNrIuvF3F4nlw8Aulp5Gj+z0jL4iqnSMsAlx3HdysT8aFmUV/XrauVcpXXL8/vaxbzEYpbLV2ifLVSewLdI3geVtl9lkEHMDaVy+UrtUzpGQg/IO0BlP3n9e0tp+1sUtr/ev0HMK/t1/lO6x77qIebGEpWYnzDFiHnMnjoxr4s0irklQt7H7PIpBKe/iRBzbZ28fEpCj8j7oK5W3oYnKuX1p1S+ksqeCttvl1y/0jHa76sCMXf7m8RciTXKT8x1NfI5VGn/8j0tn+O0BfI1pHpId7n+24fL9W/YI9cfKx+fAFDwP+FinlHSS8y7+cjHiJKaevkY/bI+XszPNPiL+cn6IHn+evk6WVbn3T6oVzvk8gfI8zt95WNIF6b0Pck7lhL5GFAyIvGomH+d30/M6yLk66BPqHyNaK84cxBOWCoxJ2sz9kQ+CpXKu3N9c/4wYAwifH/cf+dV34TB/1mO137Yi8evvB49/UI85rk6NBppV41r/L/b7caMz9bhzaNZWLJ/R+OdM08N+R88P/w2j/l3FObi5o9ewZyszdgbNavDl4nah2OqEBERERER0WWjT0A33J1wNb4qPYV3jn97Qers5R+K0RE94YYbX5edatU8KpUKv+03EgDwVenJxs+N2ub/aHlDVG8E6X1wpFru8KULi50qREREREREdFlZcNU4GDRazP96K+wupVufO5ZWJd9p25zW3Euz+0weKhrqMSDIuzvMqGPx8R8iIiIiIiK66NhsNthstiafGQwGGAzyY2cAEGMOwu/6jcKzBzPw6uHdmHnFtZ3VTADAkepS7Co6Bp1ag6Fhyo/uAWcf/3n58G4AwDVhno9jflzwPXafyYPN6URudQk2n/oOoQYTnh16S4e2nbzDThUiIiIiIiK66CxduhQLFixo8llaWhrS09NbNf+cK2/A6h/2YfG323Fv72tg1il3xrTWswczGgeqPVFbgffyD8DiaMAz16Qgyjeg2XmySk9hQfZHAICq/w5U+015IYINvvjzlTd4TL+t4AcsP5TR+P9efqH419i7cXVodIctB3mPnSpERERERER00ZkzZw4ee+yxJp+15i6Vc4IMvnhi4PWYk7UFzx7c2WSQWG+d39lxzvPDbhXviMkqO4Ws/463oldr0N03AL/pMwx/TroBseZgj+mfHpqCp4emoNZuQ05lMRZ9sw3XbVmJ10bdgTsTBnfYspB32KlCREREREREF53WPuojeeSK6/Did5lYfnAXHu47soNaBhRMmY8IX3/UO+zYW5KP+zPfxWP7NqJXQBjGdU9sdp4HEofjpZHNv25ZYtYZMDQsBv++YQaGbvobHvpiPW7q3gdhRvntV3RhcKBaIiIiIiIiuiz5aHVIu2ocah02LPxmW6eUPzayFzbdeB9UKhV+8/nbqHM0dHg9AKBVazA2IgEWR0OTtwVR1+KdKkTUMovyyOX6WreY2zuqLZ3FpDAafGnbR2/vSJY6+a8z7BknbznD5KPUiuZf69g4v69LzOsijWJuiZD34vowMVaktHzOVpznJA1muf12X3l+W6h8DlIs3yy/L8Jh8q5+XZhVLj9f/lKvjW3dYI0t1u8n7z+K89d698YPR/cQr8q3m+X9S2n9KK1fAAgMlTfylUGFYt7dUKFYh6SywUfMe+jKxbyn/oyY293N/8W/tbr51Ho1f4Sx2qv5Fb9ndDGDwvec78rCxdynRC6/sp98jbDW6eUCOsi9vYbguUMZeO2HvRjeLbZT6ugb2A2/7TsSf8v5DH879BnmJHmOkdIRCuvO7pM6ddd+R6Uf8fs4ERERERERXbY0ajUWX/0L2F1OLMz+uNPqeeLKZPhodHj24E5UN8id0pKW7kL5qOB7vH/iIAL1PhgR1jmdQ9R2vFOFiIiIiIiILmu3xPTHteHx+Lz4eIvTLP52W4vjlDwxMBl9A7uJdYT7+OGhviOw4tAuPHdoF+ZfdXO72jps098wIDACA4MjEe0bAIujAQcqTuOz4uPQqTV47do7YOrANxmRd9ipQkRERERERJe9pVdPxHVbVraYf3jqcIvZvb2GKHaqAMDsgdfjle9347mcXXjkimsRZFB4DrQZf7l6Aj49fRS7io6hxFoLtUqFGFMQ7u8zHI/2vw79AuXHsujCYqcKERERERERXfLi/ILhTH2mxXxkeFyz+evXTcXr101tVR2fTPitmIf7+KHmnqVNPhsb2Uts10/96cob8KcrO2dMFup4HFOFiIiIiIiIiKgd2KlCRERERERERNQO7FQhIiIiIiIiImoHdqoQEREREREREbWDyu12u7u6EUQXi5x7VRe0vlsTl4u5I75ezI0HfeT5TXL9DrNLzH1ia+QCANSWyJUYzsjjYdu6Obya39tl8Lb9SvU7feVcY7KLuY9vg5jX5/t5Vb/puMLyKexDSttPUyf33Su1T2n9K1FqnxJv14/S/oEwmxg7LTp5fgVK678jaGvlOrQWeX6fM3Jub/7Nlo2sYXKutA2MxXL7lbaxsUTOldqntH60dXKuq5XzeoUXVXi7D/snVIp5dbV8nfJWVJhcf2FJoJgrHWOKx5DCMax0DrdUyusnMFRhAwMIS2n5bSUA0DBxqJjrquXrkBKVXd5HamPlZayNktdx+FfydyGHr3ye9vle4SSjoPrqSDE/fZ1CAQr7SKcrkV+7e/+NO8S8p14+yb1z5hoxz323t5jXxsv7z7Hf/0HMiS4GvFOFiIiIiIiIiKgd2KlCRERERERERNQO7FQhIiIiIiIiImoHdqoQEREREREREbUDO1WIiIiIiIiIiNqBnSpERERERERERO3AThUiIiIiIiIionaQX+xORJ1K1bdGzNVHzWJel2iTK7DIh7ghvE6evcoolw9gQJ+TYn5IHyXPH1coz2+PEfNu8eVifuaMv5j7nJLXkTXc6VX95QdCxRwVGjG2mPVirrWpxNylk3PFfUiBSmEfU3vZPqVjRInPfj8xt/aUl78uUd7+BnODmLtqFbbfKfkYc5ldYq7EFWhXnMZvv0HMdRavmoDyEfI6bghUWEcWeR9pCJK3kdouz+93wi3mdrM8f/mVcv3GYvkYV6q/eKS8D2hr5b+PKa0/g3wKg9Yil3/96FwxPxEULFegIEQv74CjAuT6MwN7i3lOZbiYV1h85fq7HxfzaGOFmGeU9BLzK4PkayQAfD1xqJjrN+8Tc23POMU6JMU3ydf5oMNWMXfp5HOQt+w9vNsHdbXyMe4KVDhP2xWO0WL5HOgtR7h8nXoi+IiYv1sbIObPxvxbzMde9aiY94s7LeZElwLeqUJERERERERE1A7sVCEiIiIiIiIiagd2qhARERERERERtQM7VYiIiIiIiIiI2oGdKkRERERERERE7cC3/xAREREREdElK+de+U1nP3XF/51985rLZkHZx39DzZfrYSv6AXDaofELgy4sHr69r0XQmN9AH57QOF/e0rGoO5yBPn87DW1gRLNl5/4hDo6qIvR77cc3X7Wlfb2eOQ59WBwAwHJ4F2qyN8KalwVr/tdw1Vcj4Np70f3+NW1aXupc7FQhIiIiIiKiS1borWken5V//BxcdVXNZgDgrK9B3l+uhe3kfujDeyFw5N3QmEPgqCmF9dg+lG3+K/TdEpp0qnRk+85X/8PnsOTsgDYgAhrzj68Br/zsH6j6/P+g0vtCFxKDhvpqr9tCHY+dKkRdKMDXKuZnzL5ibjA3iLlNoX5brd6r8gGgu2+VmB+yxHg3v8kh5mG+tWJ+Bv5i7jC5xRze1n/ehbFdFOp3KJ3GFeZX3IeK5X2ws9undIwoKTeZxbw1+7hEqX3y3g3YLN6tHyWtWT672aCQy/Pr5ENAeR9TWgdKTyorraNKnRjbzfJfD+0muXjFY8Akt1+pfq+PMcUnveX69Qo7cXdDhZjbXN591YzQy79AxOlKxTzfGCrmZb5KG1gWbZSXP9Ygt6+bT/N/6T5Haf0CwIFqu5hre8aJueNYnmIdEt8z4XL91UrncfkcpDtZLuaqqCC5/kLldehN+QazU8yVvms5zK42t6ktvL3Odba8Mi+/J/1Xt9vSPT6r+nwNXHVVzWbA2U4X28n9CBzzG0SmvgqVqun5sKHkONx2pW/T7W9fYz3FR1G+7XmotHpE/249ND4/fncNvvF3CJkwG4aovqg/9iXyFo3okPZQx2KnChEREREREf2s1B/ZDQAIvmGmR4cKAOjD4ju9DS5rLU7+bRJclgpEzngZvn1GNcl94od0ehvIexyoloiIiIiIiH5WNOYQADg7lkoXcLvdKHh1OmwFhxA49gEEXf9gl7SDvMc7VYiIiIiIiOhnxf+ayaj64k2c/sdvUH9sH8wDbv7/9u48Sq6zPvf9s2vu6urquVutoVvzaNnC8jzhMJox9iFwgMWgwIVwQoC7fDIc5SaRdLi5uueskAshEAKE4EznJAbsGAMG4+ARPCB51jy2xp67q7uqu8Z9/5At3Ej6vd1V3eqW9P2spbWgntrv++53D1X+9a69FVu0XqFXii2W3h/9hQKxs/8+tpgZnFD/vf/+eQ1vu0dVS29Q24e/PJmhY5ahqAIAAAAAmHWy2ayy2fH3NYlGo4pG7XvxTETNle9W6we+oJ57Nqn/gS+o/4EvSJLCLUuUWHubGt7yOUXnLDvrsq++91y8sD2+4e33qefezQrVzdWCz3xXXsi+9w5mN37+AwAAAACYdbZu3ara2tpx/7Zu3Tpl7TfedqeWffG45n/639Twlv9TVctvUr6vUwMPfUUH/uRyDW+/76zLLf/SCa2+yz/rv3BTh9ln9vguHfv6h0/dmPaz3zvno5lx4eBKFQAAAADArLNx40bdeeed416biqtUXitYVaPkNe9V8pr3SpKKmSF1f+ePNfDQV3X8Wx/X8suPTdmVJMXM0Kkb046m1Pbxv1N8ybVT0i5mFleqAAAAAABmnWg0qmQyOe7fVBdVfl0wXqs5H/5rhZs6VBzu1diRF6ekXb9U0rGvfVC5k3tU/8bfVf0tH5uSdjHzKKoAAAAAAPAKz/MUiFRPaZvd3/0TjTz/Q8WX36w5H/zilLaNmUVRBQAAAABwSRn42d9q9MAzZ81S2+5V9sROBeJ1is6/rOK+Uk/frb77tyrUsEDzP/MdeaFwxW1i9uCeKgAAAACAS8rICz/SiW9/SpHWpapadqNCdXPlZ9MaO/ysMnsek7yA2j7yVQUcT/JxyfUc0rFv/rYkqWrhevU/9FXz/ckrb1esY50kKbPncQ088k1JUnG45/Rrx76xQZIUTDRpzgf+oqLxoXIUVQAAAAAAl5SW9/0PVS27UemXHlRm96MqDJ6QJIXq56n2po+q4U2fUdWi9RX3k+89JD+bliQNb79Xw9vvNd8faVp4uqiS69qnocfvGt9e934Nde+XJIWbOiiqzAIUVQAAAAAAF5VlXzhk5tG2FYq2/YGa3v4HE25z4caHJ91v9apbtfouf8J9vFbdzRtUd/OGspbF+cM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-      "text/plain": [
-       "<Figure size 1000x1000 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "VisualUtils.plot_distmap_with_clusters(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "sharp-salmon",
-   "metadata": {},
-   "source": [
-    "Print the cluster-specific aggregate (average) alignments for each cluster along with its number of genes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "id": "governing-talent",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "cluster:  0 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m 18\n",
-      "cluster:  1 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m 3\n",
-      "cluster:  2 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m 36\n",
-      "cluster:  3 \u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m 12\n",
-      "cluster:  4 \u001b[91mIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m 12\n",
-      "cluster:  5 \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mV\u001b[0m\u001b[92mM\u001b[0m\u001b[92mVV\u001b[0m\u001b[92mM\u001b[0m 2\n",
-      "cluster:  6 \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m 6\n"
-     ]
-    }
-   ],
-   "source": [
-    "ClusterUtils.print_cluster_average_alignments(aligner)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "institutional-reynolds",
-   "metadata": {},
-   "source": [
-    "# Gene-set specific alignments"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "reduced-costa",
-   "metadata": {},
-   "source": [
-    "We can obtain the aggregate (average) alignment for any given gene subset in the aligner \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "nonprofit-northwest",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average Alignment:  IDDDMMMMMMMIIDIIIIDDD\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "GENE_SUBSET = gene_list[40:60]\n",
-    "aligner.get_aggregate_alignment_for_subset(GENE_SUBSET )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "rubber-number",
-   "metadata": {},
-   "source": [
-    "We can check aggregate alignment and statistics of a pathway gene set with below provided wrapper function calls to retrieve pathway gene sets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "driving-share",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "IGS = PathwayAnalyserV2.InterestingGeneSets(MSIGDB_PATH='../MSIGDB/msigdb7.5.1/')\n",
-    "IGS.add_new_set_from_msigdb('hallmark', 'HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION', aligner.gene_list, 'EMT')   "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "municipal-peeing",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mean matched percentage:  51.04 %\n",
-      "mean matched percentage wrt ref:  64.29 %\n",
-      "mean matched percentage wrt query:  67.14 %\n",
-      "Average Alignment:  IDDDMMMMMMMMMMIMI\n",
-      "Z-normalised Interpolated mean trends\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 700x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "PathwayAnalyserV2.get_pathway_alignment_stat(aligner, IGS.SETS['EMT'], 'EMT', cluster=True, FIGSIZE=(6,6))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fitted-mayor",
-   "metadata": {},
-   "source": [
-    "# Complementary functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "provincial-technician",
-   "metadata": {},
-   "source": [
-    "Show all alignments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "id": "hybrid-absence",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Gene      Alignment\n",
-      "--------  ------------------------\n",
-      "PTAFR     \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\n",
-      "OSBPL3    \u001b[92mM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "RFFL      \u001b[92mM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "TNFAIP2   \u001b[92mM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "SGMS2     \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[92mM\u001b[0m\n",
-      "SLC16A10  \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "FPR1      \u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "FAM20C    \u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLEC4D    \u001b[91mI\u001b[0m\u001b[92mMM\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TSHZ1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IL1F9     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PSTPIP2   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "RELA      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NUP54     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "DDHD1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "NRP2      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TREM1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "GRAMD1B   \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "TOP1      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ICOSL     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "DUSP16    \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "PTPRE     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "LDLR      \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "TNIP1     \u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "PLAGL2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZSWIM4    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVVV\u001b[0m\n",
-      "ZC3H12C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "AK150559  \u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "F10       \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDDDDD\u001b[0m\n",
-      "FAM108C   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RBM7      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "RASA2     \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "SLC25A37  \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "IRAK-2    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLEKHO2   \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "LCP2      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TRIM13    \u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PTX3      \u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMMMM\u001b[0m\n",
-      "SPATA13   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "BCL2L11   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "CD44      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[92mVV\u001b[0m\n",
-      "AK163103  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "LZTFL1    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "IRAK3     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mII\u001b[0m\u001b[91mDDDDDD\u001b[0m\n",
-      "ARG2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\n",
-      "ZEB2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TLR2      \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "MCOLN2    \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CPD       \u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "RCAN1     \u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "PILRA     \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "ARHGEF3   \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "C5AR1     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDDDDDDD\u001b[0m\n",
-      "SLC39A14  \u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "CLCN7     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[92mVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\n",
-      "BC031781  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NUPR1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CDC42EP4  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIE    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "PLSCR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "NCK1      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMM\u001b[0m\n",
-      "ADORA2B   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "ORAI2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "KLF7      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDDD\u001b[0m\n",
-      "NIACR1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMM\u001b[0m\u001b[92mVVVVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\n",
-      "PDE4B     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "SERTAD2   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MPP5      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[92mMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "TGM2      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mIII\u001b[0m\n",
-      "PIP5K1A   \u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMMMMMM\u001b[0m\u001b[91mII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "FLRT3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMMM\u001b[0m\u001b[91mIIIII\u001b[0m\n",
-      "SOCS3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMM\u001b[0m\u001b[92mVVVVV\u001b[0m\u001b[91mI\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "TNFAIP3   \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "RASGEF1B  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\n",
-      "SLC25A25  \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[92mM\u001b[0m\n",
-      "INSIG1    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "CXCL2     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "MALT1     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "RALGDS    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "H1F0      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIII\u001b[0m\u001b[92mMMM\u001b[0m\n",
-      "IL1A      \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mIIII\u001b[0m\n",
-      "NLRP3     \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mDD\u001b[0m\n",
-      "TNF       \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIA    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\u001b[91mIIIIII\u001b[0m\u001b[91mD\u001b[0m\n",
-      "PLK2      \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\n",
-      "NFKBIZ    \u001b[91mDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDDD\u001b[0m\u001b[91mI\u001b[0m\u001b[92mVVVVVVV\u001b[0m\u001b[91mD\u001b[0m\u001b[92mMMMM\u001b[0m\n",
-      "NFKBID    \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mDDDD\u001b[0m\u001b[92mMMMMMMM\u001b[0m\u001b[91mI\u001b[0m\n",
-      "CCRL2     \u001b[91mIII\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mI\u001b[0m\u001b[91mD\u001b[0m\u001b[91mIII\u001b[0m\u001b[91mDDDDD\u001b[0m\u001b[92mMMMMM\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "30      PTAFR\n",
-       "40     OSBPL3\n",
-       "74       RFFL\n",
-       "80    TNFAIP2\n",
-       "26      SGMS2\n",
-       "       ...   \n",
-       "77     NFKBIA\n",
-       "81       PLK2\n",
-       "88     NFKBIZ\n",
-       "46     NFKBID\n",
-       "63      CCRL2\n",
-       "Name: genes, Length: 89, dtype: object"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aligner.show_ordered_alignments() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "political-holiday",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "environment": {
-   "kernel": "genes2genes",
-   "name": "pytorch-gpu.1-9.m82",
-   "type": "gcloud",
-   "uri": "gcr.io/deeplearning-platform-release/pytorch-gpu.1-9:m82"
-  },
-  "kernelspec": {
-   "display_name": "genes2genes",
-   "language": "python",
-   "name": "genes2genes"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}