diff --git a/docs/Python_Version/index.html b/docs/Python_Version/index.html
index c52910f..45f3380 100644
--- a/docs/Python_Version/index.html
+++ b/docs/Python_Version/index.html
@@ -391,6 +391,7 @@
 <li class="toctree-l2"><a class="reference internal" href="plotmodel/fibers.html">plot_fibers Option</a></li>
 <li class="toctree-l2"><a class="reference internal" href="plotmodel/integratepoints.html">plot_integration_points Option</a></li>
 <li class="toctree-l2"><a class="reference internal" href="plotmodel/legends.html">plot_legends Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="plotmodel/verticalaxis.html">vertical_axis Option</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="plotdefo.html">PlotDefo Command (Plot Deformation)</a></li>
diff --git a/docs/Python_Version/plotmodel.html b/docs/Python_Version/plotmodel.html
index e1f42a1..3c7a346 100644
--- a/docs/Python_Version/plotmodel.html
+++ b/docs/Python_Version/plotmodel.html
@@ -391,6 +391,7 @@
 <li class="toctree-l2"><a class="reference internal" href="plotmodel/fibers.html">plot_fibers Option</a></li>
 <li class="toctree-l2"><a class="reference internal" href="plotmodel/integratepoints.html">plot_integration_points Option</a></li>
 <li class="toctree-l2"><a class="reference internal" href="plotmodel/legends.html">plot_legends Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="plotmodel/verticalaxis.html">vertical_axis Option</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="plotdefo.html">PlotDefo Command (Plot Deformation)</a></li>
@@ -489,6 +490,7 @@
 <li class="toctree-l1"><a class="reference internal" href="plotmodel/fibers.html">plot_fibers Option</a></li>
 <li class="toctree-l1"><a class="reference internal" href="plotmodel/integratepoints.html">plot_integration_points Option</a></li>
 <li class="toctree-l1"><a class="reference internal" href="plotmodel/legends.html">plot_legends Option</a></li>
+<li class="toctree-l1"><a class="reference internal" href="plotmodel/verticalaxis.html">vertical_axis Option</a></li>
 </ul>
 </div>
 </section>
diff --git a/docs/Python_Version/plotmodel/verticalaxis.html b/docs/Python_Version/plotmodel/verticalaxis.html
new file mode 100644
index 0000000..62e86ba
--- /dev/null
+++ b/docs/Python_Version/plotmodel/verticalaxis.html
@@ -0,0 +1,583 @@
+
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-theme="light">
+
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>vertical_axis Option &#8212; BraineryWiz  documentation</title>
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "light";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
+  </script>
+  
+  <!-- Loaded before other Sphinx assets -->
+  <link href="../../_static/styles/theme.css?digest=c5ced968eda925caa686" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=c5ced968eda925caa686" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=c5ced968eda925caa686" rel="stylesheet" />
+
+  
+  <link href="../../_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=c5ced968eda925caa686" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+
+    <link rel="stylesheet" type="text/css" href="../../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css" />
+  
+  <!-- Pre-loaded scripts that we'll load fully later -->
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=c5ced968eda925caa686" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=c5ced968eda925caa686" />
+  <script src="../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=c5ced968eda925caa686"></script>
+
+    <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
+    <script src="../../_static/doctools.js"></script>
+    <script src="../../_static/sphinx_highlight.js"></script>
+    <script src="../../_static/design-tabs.js"></script>
+    <script>DOCUMENTATION_OPTIONS.pagename = 'Python_Version/plotmodel/verticalaxis';</script>
+    <link rel="icon" href="../../_static/BraineryWizico.ico"/>
+    <link rel="index" title="Index" href="../../genindex.html" />
+    <link rel="search" title="Search" href="../../search.html" />
+    <link rel="next" title="PlotDefo Command (Plot Deformation)" href="../plotdefo.html" />
+    <link rel="prev" title="plot_legends Option" href="legends.html" />
+  <meta name="viewport" content="width=device-width, initial-scale=1"/>
+  <meta name="docsearch:language" content="en"/>
+  </head>
+  
+  
+  <body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="light">
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+  
+  <div id="pst-scroll-pixel-helper"></div>
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+  
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+          class="sidebar-toggle"
+          name="__primary"
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+  <label class="overlay overlay-primary" for="__primary"></label>
+  
+  <input type="checkbox"
+          class="sidebar-toggle"
+          name="__secondary"
+          id="__secondary"/>
+  <label class="overlay overlay-secondary" for="__secondary"></label>
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+    <div class="search-button__search-container">
+<form class="bd-search d-flex align-items-center"
+      action="../../search.html"
+      method="get">
+  <i class="fa-solid fa-magnifying-glass"></i>
+  <input type="search"
+         class="form-control"
+         name="q"
+         id="search-input"
+         placeholder="Search the docs ..."
+         aria-label="Search the docs ..."
+         autocomplete="off"
+         autocorrect="off"
+         autocapitalize="off"
+         spellcheck="false"/>
+  <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
+</form></div>
+  </div>
+
+
+  <div class="bd-header-announcement container-fluid bd-header-announcement">
+    <div class="bd-header-announcement__content">The latest Released version: 0.91 - Email Address: <a href = 'mailto: BraineryWiz@Gmail.com'>BraineryWiz@Gmail.com</a>.</div>
+  </div>
+
+  
+    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
+<div class="bd-header__inner bd-page-width">
+  <label class="sidebar-toggle primary-toggle" for="__primary">
+    <span class="fa-solid fa-bars"></span>
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+  
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+      <div class="navbar-item">
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+<a class="navbar-brand logo" href="../../index.html">
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+    <img src="../../_static/BraineryWizLogo.png" class="logo__image only-light" alt=""/>
+    <script>document.write(`<img src="../../_static/BraineryWizLogo.png" class="logo__image only-dark" alt=""/>`);</script>
+  
+  
+    <p class="title logo__title">BraineryWiz</p>
+  
+</a></div>
+    
+  </div>
+  
+  <div class="col-lg-9 navbar-header-items">
+    
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+      
+        <div class="navbar-item"><nav class="navbar-nav">
+  <p class="sidebar-header-items__title"
+     role="heading"
+     aria-level="1"
+     aria-label="Site Navigation">
+    Site Navigation
+  </p>
+  <ul class="bd-navbar-elements navbar-nav">
+    
+                    <li class="nav-item current active">
+                      <a class="nav-link nav-internal" href="../index.html">
+                        Python Version
+                      </a>
+                    </li>
+                
+
+                    <li class="nav-item">
+                      <a class="nav-link nav-internal" href="../../TCL_Version/index.html">
+                        TCL Version
+                      </a>
+                    </li>
+                
+
+                    <li class="nav-item">
+                      <a class="nav-link nav-internal" href="../../FEM_Wiz/index.html">
+                        FEM Version
+                      </a>
+                    </li>
+                
+  </ul>
+</nav></div>
+      
+    </div>
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+    
+    <div class="navbar-header-items__end">
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+          
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script>
+        </div>
+      
+      
+        <div class="navbar-item">
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
+  </button>
+`);
+</script></div>
+      
+        <div class="navbar-item"><ul class="navbar-icon-links navbar-nav"
+    aria-label="Icon Links">
+        <li class="nav-item">
+          
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+          
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+          <a href="https://github.com/Silvia-s-Brainery/BraineryWiz" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fab fa-github fa-lg fa-lg" aria-hidden="true"></i></span>
+            <span class="sr-only">GitHub</span></a>
+        </li>
+        <li class="nav-item">
+          
+          
+          
+          
+          
+          
+          
+          
+          <a href="https://www.linkedin.com/company/brainerywiz" title="LinkedIn" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fab fa-linkedin fa-xl fa-lg" aria-hidden="true"></i></span>
+            <span class="sr-only">LinkedIn</span></a>
+        </li>
+        <li class="nav-item">
+          
+          
+          
+          
+          
+          
+          
+          
+          <a href="https://www.silviasbrainery.com/brainerywiz" title="MainPage" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><img src="../../_static/BraineryWizico.ico" class="icon-link-image" alt="MainPage"/></a>
+        </li>
+</ul></div>
+      
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+    
+  </div>
+  
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+    <div class="navbar-persistent--mobile">
+ <script>
+ document.write(`
+   <button class="btn navbar-btn search-button-field search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <i class="fa-solid fa-magnifying-glass"></i>
+    <span class="search-button__default-text">Search</span>
+    <span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd class="kbd-shortcut__modifier">K</kbd></span>
+   </button>
+ `);
+ </script>
+    </div>
+  
+
+  
+</div>
+
+    </nav>
+  
+  <div class="bd-container">
+    <div class="bd-container__inner bd-page-width">
+      
+      <div class="bd-sidebar-primary bd-sidebar">
+        
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+  
+  <div class="sidebar-header-items sidebar-primary__section">
+    
+    
+      <div class="sidebar-header-items__center">
+        
+          <div class="navbar-item"><nav class="navbar-nav">
+  <p class="sidebar-header-items__title"
+     role="heading"
+     aria-level="1"
+     aria-label="Site Navigation">
+    Site Navigation
+  </p>
+  <ul class="bd-navbar-elements navbar-nav">
+    
+                    <li class="nav-item current active">
+                      <a class="nav-link nav-internal" href="../index.html">
+                        Python Version
+                      </a>
+                    </li>
+                
+
+                    <li class="nav-item">
+                      <a class="nav-link nav-internal" href="../../TCL_Version/index.html">
+                        TCL Version
+                      </a>
+                    </li>
+                
+
+                    <li class="nav-item">
+                      <a class="nav-link nav-internal" href="../../FEM_Wiz/index.html">
+                        FEM Version
+                      </a>
+                    </li>
+                
+  </ul>
+</nav></div>
+        
+      </div>
+    
+    
+    
+      <div class="sidebar-header-items__end">
+        
+          <div class="navbar-item">
+<script>
+document.write(`
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
+  </button>
+`);
+</script></div>
+        
+          <div class="navbar-item"><ul class="navbar-icon-links navbar-nav"
+    aria-label="Icon Links">
+        <li class="nav-item">
+          
+          
+          
+          
+          
+          
+          
+          
+          <a href="https://github.com/Silvia-s-Brainery/BraineryWiz" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fab fa-github fa-lg fa-lg" aria-hidden="true"></i></span>
+            <span class="sr-only">GitHub</span></a>
+        </li>
+        <li class="nav-item">
+          
+          
+          
+          
+          
+          
+          
+          
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+            <span class="sr-only">LinkedIn</span></a>
+        </li>
+        <li class="nav-item">
+          
+          
+          
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+        </li>
+</ul></div>
+        
+      </div>
+    
+  </div>
+  
+    <div class="sidebar-primary-items__start sidebar-primary__section">
+        <div class="sidebar-primary-item"><nav class="bd-docs-nav bd-links"
+     aria-label="Section Navigation">
+  <p class="bd-links__title" role="heading" aria-level="1">Section Navigation</p>
+  <div class="bd-toc-item navbar-nav"><p aria-level="2" class="caption" role="heading"><span class="caption-text">Python Version</span></p>
+<ul class="current nav bd-sidenav">
+<li class="toctree-l1"><a class="reference internal" href="../index.html">BraineryWiz Python Version Documentation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installation</a></li>
+<li class="toctree-l1 current active has-children"><a class="reference internal" href="../plotmodel.html">PlotModel Command (Plot Model)</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="draw_nodes.html">draw_nodes Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="show_nodes_tag.html">show_nodes_tag Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="show_elemens_tag.html">show_elemens_tag Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="onhover.html">onhover_message Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="title.html">title Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="widthheight.html">fig_width and fig_height Options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="eledata.html">elements_data_tag and elements_data Options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="nodedata.html">nodes_data_tag and nodes_data Options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="imagetypename.html">image_type and image_filename Options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="quiver.html">quivers_size Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="fibers.html">plot_fibers Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="integratepoints.html">plot_integration_points Option</a></li>
+<li class="toctree-l2"><a class="reference internal" href="legends.html">plot_legends Option</a></li>
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">vertical_axis Option</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../plotdefo.html">PlotDefo Command (Plot Deformation)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../plotmodeshape.html">PlotModeShape Command (Plot mode shape)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../realtime.html">RealTimeObj Command (Plot at Each desired Time Step)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../plotanime.html">PlotAnime Command (Plot Animation)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../plotanimegif.html">PlotAnimeGif command (Create Animation in gif format)</a></li>
+</ul>
+</div>
+</nav></div>
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+  
+  
+  <div class="sidebar-primary-items__end sidebar-primary__section">
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+  
+  <div id="rtd-footer-container"></div>
+
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+      <main id="main-content" class="bd-main">
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+              
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+<div class="header-article-items header-article__inner">
+  
+    <div class="header-article-items__start">
+      
+        <div class="header-article-item">
+
+
+
+<nav aria-label="Breadcrumb">
+  <ul class="bd-breadcrumbs">
+    
+    <li class="breadcrumb-item breadcrumb-home">
+      <a href="../../index.html" class="nav-link" aria-label="Home">
+        <i class="fa-solid fa-home"></i>
+      </a>
+    </li>
+    
+    <li class="breadcrumb-item"><a href="../index.html" class="nav-link">BraineryWiz Python Version Documentation</a></li>
+    
+    
+    <li class="breadcrumb-item"><a href="../plotmodel.html" class="nav-link">PlotModel Command (Plot Model)</a></li>
+    
+    <li class="breadcrumb-item active" aria-current="page">vertical_axis Option</li>
+  </ul>
+</nav>
+</div>
+      
+    </div>
+  
+  
+</div>
+</div>
+              
+              
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article" role="main">
+                  
+  <section id="vertical-axis-option">
+<span id="plotmodelverticalpy"></span><h1>vertical_axis Option<a class="headerlink" href="#vertical-axis-option" title="Permalink to this heading">#</a></h1>
+<p>Using this option user can define the dimension related to vertical axis. BraineryWiz considers the 3rd value of the enetered points as the values related to the vertical axis. For other cases using this option users can determine the vertical axis dimension. (Default=3)</p>
+<section id="example">
+<h2>Example<a class="headerlink" href="#example" title="Permalink to this heading">#</a></h2>
+<div class="literal-block-wrapper docutils container" id="id1">
+<div class="code-block-caption"><span class="caption-text">Example for vertical_axis=2</span><a class="headerlink" href="#id1" title="Permalink to this code">#</a></div>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">BraineryWiz</span> <span class="k">as</span> <span class="nn">bz</span>
+
+<span class="c1"># ...</span>
+<span class="c1"># Create the OpenSees model</span>
+<span class="c1"># ...</span>
+
+<span class="c1"># Call PlotModel command</span>
+<span class="n">bz</span><span class="o">.</span><span class="n">PlotModel</span><span class="p">(</span><span class="n">plotmode</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">vertical_axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+
+<!-- saved from url=(0067)file:///C:/Users/admin/Documents/GitHub/NewProject/BraineryWiz.html -->
+<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><style id="plotly.js-style-global"></style><style id="plotly.js-style-modebar-8ae54c"></style></head>
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+        <script type="text/javascript">/**
+* plotly.js v2.18.2
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J,K,$=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-Y)+","+(p-W),transform:s(Y,W)}).style("stroke-width",V+6+"px").call(u.stroke,"rgba(0,0,0,0)").call(u.fill,"rgba(0,0,0,0)");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S("x",m(y,t,"x",T,e)),S("y",m(x,r,"y",T,e)),e.axref===e.xref&&S("ax",m(y,t,"ax",T,e)),e.ayref===e.yref&&S("ay",m(x,r,"ay",T,e)),G.attr("transform",s(t,r)),I.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr("transform")},moveFn:function(t,r){var 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n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},c={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void D();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var O=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(O.y-I.y,O.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function D(){t.style("stroke-dasharray","0px,100px")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},32745:function(t,e,r){"use strict";var n=r(92605),i=r(44317);t.exports={moduleType:"component",name:"annotations",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)("annotations"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){"use 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r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:"linear",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(".annotation-"+t.id).remove()}},20226:function(t,e,r){"use strict";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+"axis",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l("visible")&&(o(t,e,a.fullLayout,l),u("x"),u("y"),u("z"),n.noneOrAll(t,e,["x","y","z"]),e.xref="x",e.yref="y",e.zref="z",l("xanchor"),l("yanchor"),l("xshift"),l("yshift"),e.showarrow&&(e.axref="pixel",e.ayref="pixel",l("ax",-10),l("ay",-30),n.noneOrAll(t,e,["ax","ay"])))}t.exports=function(t,e,r){a(t,e,{name:"annotations",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){"use strict";var n=r(92605).drawRaw,i=r(63538),a=["x","y","z"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+"axis"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){"use strict";var n=r(73972),i=r(71828);t.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){"use strict";t.exports=r(63489),r(94338),r(3961),r(38751),r(86825),r(37715),r(99384),r(43805),r(88874),r(83290),r(29108),r(55422),r(94320),r(31320),r(51367),r(21457)},72201:function(t,e,r){"use strict";var n=r(7561),i=r(71828),a=r(50606),o=a.EPOCHJD,s=a.ONEDAY,l={valType:"enumerated",values:i.sortObjectKeys(n.calendars),editType:"calc",dflt:"gregorian"},u=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},c="##",f={d:{0:"dd","-":"d"},e:{0:"d","-":"d"},a:{0:"D","-":"D"},A:{0:"DD","-":"DD"},j:{0:"oo","-":"o"},W:{0:"ww","-":"w"},m:{0:"mm","-":"m"},b:{0:"M","-":"M"},B:{0:"MM","-":"MM"},y:{0:"yy","-":"yy"},Y:{0:"yyyy","-":"yyyy"},U:c,w:c,c:{0:"D M d %X yyyy","-":"D M d %X yyyy"},x:{0:"mm/dd/yyyy","-":"mm/dd/yyyy"}},h={};function p(t){var e=h[t];return e||(h[t]=n.instance(t))}function d(t){return i.extendFlat({},l,{description:t})}function v(t){return"Sets the calendar system to use with `"+t+"` date data."}var g={xcalendar:d(v("x"))},y=i.extendFlat({},g,{ycalendar:d(v("y"))}),m=i.extendFlat({},y,{zcalendar:d(v("z"))}),x=d(["Sets the calendar system to use for `range` and `tick0`","if this is a date axis. This does not set the calendar for","interpreting data on this axis, that's specified in the trace","or via the global `layout.calendar`"].join(" "));t.exports={moduleType:"component",name:"calendars",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d(["Sets the default calendar system to use for interpreting and","displaying dates throughout the plot."].join(" "))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d(["WARNING: All transforms are deprecated and may be removed from the API in next major version.","Sets the calendar system to use for `value`, if it is a date."].join(" ")),targetcalendar:d(["WARNING: All transforms are deprecated and may be removed from the API in next major version.","Sets the calendar system to use for `target`, if it is an","array of dates. 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i=0;i<r.length;i++)u(t,e,r[i]+"calendar",n.calendar)},CANONICAL_SUNDAY:{chinese:"2000-01-02",coptic:"2000-01-03",discworld:"2000-01-03",ethiopian:"2000-01-05",hebrew:"5000-01-01",islamic:"1000-01-02",julian:"2000-01-03",mayan:"5000-01-01",nanakshahi:"1000-01-05",nepali:"2000-01-05",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-04",thai:"2000-01-04",ummalqura:"1400-01-06"},CANONICAL_TICK:{chinese:"2000-01-01",coptic:"2000-01-01",discworld:"2000-01-01",ethiopian:"2000-01-01",hebrew:"5000-01-01",islamic:"1000-01-01",julian:"2000-01-01",mayan:"5000-01-01",nanakshahi:"1000-01-01",nepali:"2000-01-01",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-01",thai:"2000-01-01",ummalqura:"1400-01-01"},DFLTRANGE:{chinese:["2000-01-01","2001-01-01"],coptic:["1700-01-01","1701-01-01"],discworld:["1800-01-01","1801-01-01"],ethiopian:["2000-01-01","2001-01-01"],hebrew:["5700-01-01","5701-01-01"],islamic:["1400-01-01","1401-01-01"],julian:["2000-01-01","2001-01-01"],mayan:["5200-01-01","5201-01-01"],nanakshahi:["0500-01-01","0501-01-01"],nepali:["2000-01-01","2001-01-01"],persian:["1400-01-01","1401-01-01"],jalali:["1400-01-01","1401-01-01"],taiwan:["0100-01-01","0101-01-01"],thai:["2500-01-01","2501-01-01"],ummalqura:["1400-01-01","1401-01-01"]},getCal:p,worldCalFmt:function(t,e,r){for(var 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c,f=s[u],h=f+".camera",p=f+".aspectratio",d=f+".aspectmode",v=o[f]._scene;i?(l[h+".up"]=v.viewInitial.up,l[h+".eye"]=v.viewInitial.eye,l[h+".center"]=v.viewInitial.center,c=!0):a&&(l[h+".up"]=null,l[h+".eye"]=null,l[h+".center"]=null,c=!0),c&&(l[p+".x"]=v.viewInitial.aspectratio.x,l[p+".y"]=v.viewInitial.aspectratio.y,l[p+".z"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}n.call("_guiRelayout",t,l)}function d(t,e){var r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=["xaxis","yaxis","zaxis"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+".hovermode";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+"."+d+".showspikes";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if("zoom"===i){var f=c.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,u+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function y(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function m(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c="in"===r?1.05*u:u/1.05;o[l+".zoom"]=c}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}c.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return u(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(u(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(u(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(u(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(u(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},c.sendDataToCloud={name:"sendDataToCloud",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:"editInChartStudio",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:"zoom2d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:f},c.pan2d={name:"pan2d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:f},c.select2d={name:"select2d",_cat:"select",title:function(t){return u(t,"Box Select")},attr:"dragmode",val:"select",icon:o.selectbox,click:f},c.lasso2d={name:"lasso2d",_cat:"lasso",title:function(t){return u(t,"Lasso Select")},attr:"dragmode",val:"lasso",icon:o.lasso,click:f},c.drawclosedpath={name:"drawclosedpath",title:function(t){return u(t,"Draw closed freeform")},attr:"dragmode",val:"drawclosedpath",icon:o.drawclosedpath,click:f},c.drawopenpath={name:"drawopenpath",title:function(t){return u(t,"Draw open freeform")},attr:"dragmode",val:"drawopenpath",icon:o.drawopenpath,click:f},c.drawline={name:"drawline",title:function(t){return u(t,"Draw line")},attr:"dragmode",val:"drawline",icon:o.drawline,click:f},c.drawrect={name:"drawrect",title:function(t){return u(t,"Draw rectangle")},attr:"dragmode",val:"drawrect",icon:o.drawrect,click:f},c.drawcircle={name:"drawcircle",title:function(t){return u(t,"Draw circle")},attr:"dragmode",val:"drawcircle",icon:o.drawcircle,click:f},c.eraseshape={name:"eraseshape",title:function(t){return u(t,"Erase active shape")},icon:o.eraseshape,click:s},c.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},c.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},c.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return u(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},c.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return u(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},c.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return u(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},c.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return u(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},c.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},c.pan3d={name:"pan3d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},c.orbitRotation={name:"orbitRotation",title:function(t){return u(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},c.tableRotation={name:"tableRotation",title:function(t){return u(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},c.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return u(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},c.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return u(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},c.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},c.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:v},c.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return u(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:y},c.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:y},c.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:y},c.resetViewSankey={name:"resetSankeyGroup",title:function(t){return u(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},c.toggleHover={name:"toggleHover",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},c.resetViews={name:"resetViews",title:function(t){return u(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},c.toggleSpikelines={name:"toggleSpikelines",title:function(t){return u(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return u(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},c.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m}},93348:function(t,e,r){"use strict";var n=r(26023),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){"use strict";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(u,.3)),l("activecolor",i.addOpacity(u,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},64168:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"modebar",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){"use strict";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has("cartesian"),g=e._has("gl3d"),y=e._has("geo"),m=e._has("pie"),x=e._has("funnelarea"),b=e._has("gl2d"),_=e._has("ternary"),w=e._has("mapbox"),T=e._has("polar"),k=e._has("smith"),A=e._has("sankey"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=["toggleHover"],I=["resetViews"]):y?(P=["zoomInGeo","zoomOutGeo"],O=["hoverClosestGeo"],I=["resetGeo"]):g?(O=["hoverClosest3d"],I=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],O=["toggleHover"],I=["resetViewMapbox"]):b?O=["hoverClosestGl2d"]:m?O=["hoverClosestPie"]:A?(O=["hoverClosestCartesian","hoverCompareCartesian"],I=["resetViewSankey"]):O=["toggleHover"],v&&(O=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==I[0]&&(I=["resetScale2d"])),g?D=["zoom3d","pan3d","orbitRotation","tableRotation"]:(v||b)&&!M||_?D=["zoom2d","pan2d"]:w||y?D=["pan2d"]:T&&(D=["zoom2d"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e}(r)&&D.push("select2d","lasso2d");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&D.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){"use strict";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},89573:function(t){"use 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n=r(71828),i=r(44467),a=r(41675),o=r(75148),s=r(47850);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!u.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,"yaxis");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},72413:function(t,e,r){"use strict";var n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function y(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function m(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return v.rangePlotClassName+" "+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var 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i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return t._name}));u.exit().each((function(t){var r=t[v.name];e._topdefs.select("#"+r._clipId).remove()})).remove(),0!==r.length&&(u.enter().append("g").classed(v.containerClassName,!0).attr("pointer-events","all"),u.each((function(r){var a=n.select(this),l=r[v.name],u=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange("rangeslider.range");var A=e._size,M=r.domain;l._width=A.w*(M[1]-M[0]);var S=Math.round(A.l+A.w*M[0]),E=Math.round(A.t+A.h*(1-r._counterDomainMin)+("bottom"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr("transform",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var O=r.locateBreaks(L,C);if(O.length){var 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u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=D(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]}var l=I(r=o.getGraphDiv(r),n,i,a,s),c=e.redraw(r),f=[r,l.update,i,l.maxPoints];return u.add(r,e.extendTraces,f,t,arguments),c},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[r,i,a]))return 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e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=ot,r._calcInverseTransform(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(y.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var 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s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._selectionLayer=r._toppaper.append("g").classed("selectionlayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}(t),v._shouldCreateBgLayer&&delete v._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},v._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),v._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&h.allowAutoMargin(t,"pie."+n.uid+".automargin")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod("rangeslider","calcAutorange")(t))}var E=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=v._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!v._glcanvas&&v._has("gl")&&(v._glcanvas=v._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),v._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"}));var i=t._context.plotGlPixelRatio;if(v._glcanvas){v._glcanvas.attr("width",v.width*i).attr("height",v.height*i).style("width",v.width+"px").style("height",v.height+"px");var a=v._glcanvas.data()[0].regl;if(a&&(Math.floor(v.width*i)!==a._gl.drawingBufferWidth||Math.floor(v.height*i)!==a._gl.drawingBufferHeight)){var s="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!k)return o.log(s+" Clearing graph and plotting 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C=o.syncOrAsync(E,t);return C&&C.then||(C=Promise.resolve()),C.then((function(){return M(t),t}))},e.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},e.react=function(t,r,n,i){var a,l;t=o.getGraphDiv(t),_.clearPromiseQueue(t);var u=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&u&&p){if(o.isPlainObject(r)){var d=r;r=d.data,n=d.layout,i=d.config,a=d.frames}var v=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,L(t,i),v=at(g,t._context)}t.data=r||[],_.cleanData(t.data),t.layout=n||{},_.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,u,c,f,h,p,d,v,g=n._preGUI,y=[],m={},x={};for(i in g){if(c=Q(i,K)){if(d=c.head,v=c.tail,a=c.attr||d+".uirevision",(u=(l=s(n,a).get())&&tt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),nt(p=(h=s(e,i)).get(),f)){void 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"+i+" in trace uid "+E);delete C[i]}}}(t.data,t.layout,u,p),h.supplyDefaults(t,{skipUpdateCalc:!0});var y=t._fullData,m=t._fullLayout,x=void 0===m.datarevision,b=m.transition,k=function(t,e,r,n,i){var a=T.layoutFlags();return a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,it(e,r,[],{getValObject:function(t){return f.getLayoutValObject(r,t)},flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some"),a}(t,p,m,x,b),A=k.newDataRevision,S=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,u=T.traceFlags();u.arrays={},u.nChanges=0,u.nChangesAnim=0;var c={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:u,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],c)}return(u.calc||u.plot)&&(u.fullReplot=!0),i&&u.nChanges&&u.nChangesAnim&&(u.anim=u.nChanges===u.nChangesAnim&&o?"all":"some"),u}(t,u,y,x,b,A);if(W(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(m),C=0;C<E.length;C++){var P=E[C],O=P.substring(0,5);if("xaxis"===O||"yaxis"===O){var I=m[P]._emptyCategories;I&&I()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,y);var D=[];if(a&&(t._transitionData={},h.createTransitionData(t),D.push((function(){return e.addFrames(t,a)}))),m.transition&&!v&&(S.anim||k.anim))k.ticks&&D.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),D.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in k.arrays){var F=k.arrays[z];if(F.length){var B=c.getComponentMethod(z,"drawOne");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=c.getComponentMethod(z,"draw");if(j===o.noop)throw new Error("cannot draw components: "+z);j(t)}}}D.push(h.previousPromises),S.style&&D.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&D.push(w.doColorBars),k.legend&&D.push(w.doLegend),k.layoutstyle&&D.push(w.layoutStyles),k.axrange&&H(D),k.ticks&&D.push(w.doTicksRelayout),k.modebar&&D.push(w.doModeBar),k.camera&&D.push(w.doCamera),D.push(M)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit("plotly_react",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return _.cleanData(t.data),_.cleanLayout(t.layout),t.calcdata=void 0,e._doPlot(t).then((function(){return t.emit("plotly_redraw"),t}))},e.relayout=U,e.restyle=z,e.setPlotConfig=function(t){return o.extendFlat(x,t)},e.update=X,e._guiRelayout=J(U),e._guiRestyle=J(z),e._guiUpdate=J(X),e._storeDirectGUIEdit=function(t,e,r){for(var n in r)B(n,s(t,n).get(),r[n],e)}},72075:function(t){"use strict";var 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o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||("x"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||("x"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St="x",Lt.attr("d",function(t,e){return"M"+(t.l-.5)+","+(e-P-.5)+"h-3v"+(2*P+1)+"h3ZM"+(t.r+.5)+","+(e-P-.5)+"h3v"+(2*P+1)+"h-3Z"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St="y",Lt.attr("d",function(t,e){return"M"+(e-P-.5)+","+(t.t-.5)+"v-3h"+(2*P+1)+"v3ZM"+(e-P-.5)+","+(t.b+.5)+"v3h"+(2*P+1)+"v-3Z"}(Tt,_t))):(St="xy",Lt.attr("d",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit("plotly_relayouting",ht),Mt=!0}function zt(){ht={},"xy"!==St&&"x"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt("x",ht)),"xy"!==St&&"y"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt("y",ht))}function Rt(){zt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":m(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||("zoom"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(vt,kt,$,Q,At="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(vt,$,Q)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt("x")),at&&(F(K,r),Vt("y")),Zt([n,i,tt,et]),Ht(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(J,0,e):"e"===it?e=p(J,1,-e):it||(e=0),"n"===at?r=p(K,1,r):"s"===at?r=p(K,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt("x"),nt.isSubplotConstrained&&it||Vt("y");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Zt([o,s,f,h]),Ht(),t.emit("plotly_relayouting",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+"axes"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+".range[0]"]=e[l._name+".range[0]"],e[a._name+".range[1]"]=e[l._name+".range[1]"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||"sync"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,"xaxis")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,"yaxis")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+".range[0]"]=s.range[0],ht[s._name+".range[1]"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if("reset+autosize"===e)for(e="autosize",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e="reset";break}if("autosize"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+".autorange"]=!0);else if("reset"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+".range[0]"]=a[0],o[n._name+".range[1]"]=a[1]):o[n._name+".autorange"]=!0);t.emit("plotly_doubleclick",null),l.call("_guiRelayout",t,o)}}function Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call("_guiRelayout",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b="ns"===at?-e[1]*a._length/I._length:Xt(a,m,{n:"top",s:"bottom"}[at])):b=Wt(a,m=Yt(a,d,g)),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/O._length:Xt(o,x,{e:"right",w:"left"}[it])):T=Wt(o,x=Yt(o,d,g)),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(".nsewdrag").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt("x"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt("y"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit("plotly_relayouting",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log("Did not find wheel motion attributes: ",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){"use strict";var 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e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,"projection.scale":n.scale},e=t._isScoped?{"center.lon":r.lon,"center.lat":r.lat}:t._isClipped?{"projection.rotation.lon":i.lon,"projection.rotation.lat":i.lat}:{"center.lon":r.lon,"center.lat":r.lat,"projection.rotation.lon":i.lon},u.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?c(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?"none":null}for(t in this.basePaths)this.basePaths[t].attr("d",r);for(t in this.dataPaths)this.dataPaths[t].attr("d",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr("display",i).attr("transform",n)}},44622:function(t,e,r){"use strict";var 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a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){"use strict";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var u=c(t,"gl2d",o);0===u.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){"use strict";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},58547:function(t,e,r){"use strict";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},77894:function(t,e,r){"use strict";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 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204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},3277:function(t,e,r){"use strict";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},30422:function(t,e,r){"use strict";var n=r(78614),i=r(71828),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open 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s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){"use strict";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){"use strict";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},13133:function(t,e,r){"use strict";var n=r(78614),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},63538:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){"use strict";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085);function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var T=!0;w.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!T||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return T=!1,r},w.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(c.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: 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C=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:c.name,color:d.castHoverOption(_,w,"bgcolor")||c.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var 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f=t.selectAll("g.points").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append("g").attr("class","points"),f.exit().remove();var h=f.selectAll("path").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;"all"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);"h"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),"suspectedoutliers"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append("path").classed("point",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Z,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var W=I.selectAll("g.bullet").data(R?e:[]);W.exit().remove();var X=I.selectAll("g.bulletaxis").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var _=y.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},57920:function(t,e,r){"use 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k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var 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u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},71791:function(t,e,r){"use strict";t.exports={attributes:r(73362),supplyDefaults:r(3633),calc:r(24639),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(49351),categories:["gl","regl","noOpacity","noHover"],meta:{}}},49351:function(t,e,r){"use strict";var n=r(39898),i=r(27659).a0,a=r(21341),o=r(77922);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},24639:function(t,e,r){"use strict";var n=r(71828).isArrayOrTypedArray,i=r(21081),a=r(28984).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},25706:function(t){"use 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n=r(71828),i=r(52075).hasColorscale,a=r(1586),o=r(27670).c,s=r(85501),l=r(89298),u=r(73362),c=r(57920),f=r(25706).maxDimensionCount,h=r(94397);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return 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p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=r(25706).maxDimensionCount,s=r(71828),l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var 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O(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},c)))}return{render:function(t,e,n){var i,a,o,s=t.length,u=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<u&&(u=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i.coerce(t,e,a,r,n)}var c=l(u("labels"),u("values")),f=c.len;if(e._hasLabels=c.hasLabels,e._hasValues=c.hasValues,!e._hasLabels&&e._hasValues&&(u("label0"),u("dlabel")),f){e._length=f,u("marker.line.width")&&u("marker.line.color"),u("marker.colors"),u("scalegroup");var h,p=u("text"),d=u("texttemplate");if(d||(h=u("textinfo",Array.isArray(p)?"text+percent":"percent")),u("hovertext"),u("hovertemplate"),d||h&&"none"!==h){var v=u("textposition");s(t,e,n,u,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(v)||"auto"===v||"outside"===v)&&u("automargin"),("inside"===v||"auto"===v||Array.isArray(v))&&u("insidetextorientation")}o(e,n,u);var g=u("hole");if(u("title.text")){var y=u("title.position",g?"middle center":"top center");g||"middle center"!==y||(e.title.position="top center"),i.coerceFont(u,"title.font",n.font)}u("sort"),u("direction"),u("rotation"),u("pull")}else e.visible=!1}}},20007:function(t,e,r){"use strict";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},53581:function(t,e,r){"use strict";var n=r(71828);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 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b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 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a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,u=o.split("+"),c=function(t){return-1!==u.indexOf(t)},f=c("label"),h=c("text"),p=c("value"),d=c("percent"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var i,u,c,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,v=n?t.yLabelMax:t.yLabelMin,y=t.cyFinal+o(t.px0[1],t.px1[1]),m=p-d;if(m*l>0&&(t.labelExtraY=m),Array.isArray(e.pull))for(u=0;u<f.length;u++)(c=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,c.pts)||0)||((t.pxmid[1]-c.pxmid[1])*l>0?(m=c.cyFinal+o(c.px0[1],c.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=m):(v+t.labelExtraY-y)*l>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(h=c.cxFinal+a(c.px0[0],c.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?v:y,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),c=t[1-n][r],f=c.concat(u),p=[],h=0;h<u.length;h++)void 0!==u[h].yLabelMid&&p.push(u[h]);for(d=!1,h=0;n&&h<c.length;h++)if(void 0!==c[h].yLabelMid){d=c[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),m(p[h],x)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},68357:function(t,e,r){"use strict";var n=r(39898),i=r(63463),a=r(72597).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},63463:function(t,e,r){"use strict";var n=r(7901),i=r(53581).castOption;t.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},10959:function(t,e,r){"use strict";var n=r(82196);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},42743:function(t,e,r){"use 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+(n.rightInnerExtent-e)+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr("d",M())}function P(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function D(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},47581:function(t){"use strict";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){"use strict";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}t.exports=function(t,e){"group"===t._fullLayout.scattermode&&function(t,e){for(var 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n=r(5386).f,i=r(5386).s,a=r(82196),o=r(9012),s=r(50693),l=r(79952).P,u=r(1426).extendFlat,c=r(30962).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(H),m.line2d&&m.line2d.update(H),m.error2d&&m.error2d.update(H.concat(H)),m.scatter2d&&m.scatter2d.update(H),m.select2d&&m.select2d.update(H),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},38967:function(t,e,r){"use strict";var n=r(71828);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},99181:function(t,e,r){"use strict";var n=r(5386).f,i=r(5386).s,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:"boolean"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:"number",arrayOk:!0,dflt:-1,min:-1},size:{valType:"number",arrayOk:!0,dflt:20,min:0},color:{valType:"color",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:"markers"}),text:c({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},15790:function(t,e,r){"use 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).f,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n("",{colorAttr:"u/v/w 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v=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),y=d(e._Zs,"zaxis");if(f.meshgrid=[v,g,y],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var m=g[0],x=h(v),b=h(y),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],m,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(v),L=p(g),C=p(y),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],O=n(f,P),I=s(e);O.vertexIntensityBounds=[I.min/e._normMax,I.max/e._normMax];var D=e.lightposition;return O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var 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l=s("u"),u=s("v"),c=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&u&&u.length&&c&&c.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},61510:function(t,e,r){"use strict";t.exports={moduleType:"trace",name:"streamtube",basePlotModule:r(58547),categories:["gl3d","showLegend"],attributes:r(21850),supplyDefaults:r(22459),colorbar:{min:"cmin",max:"cmax"},calc:r(88489).calc,plot:r(90154),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},57564:function(t,e,r){"use strict";var n=r(9012),i=r(5386).f,a=r(5386).s,o=r(50693),s=r(27670).Y,l=r(34e3),u=r(7055),c=r(1426).extendFlat;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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n=r(674),i=r(92770),a=r(71828),o=r(21081).makeColorScaleFuncFromTrace,s=r(32354).makePullColorFn,l=r(32354).generateExtendedColors,u=r(21081).calc,c=r(50606).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||"number"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return M(x[t])&&S(t)},f=function(t){return String(x[t])}),w&&(r=Math.min(r,_.length));for(var E=0;E<r;E++)if(l(E)){var L=f(E),C=M(b[E])?String(b[E]):"",P={i:E,id:L,pid:C,label:M(x[E])?String(x[E]):""};w&&(P.v=+_[E]),T.push(P),p=L,k[h=C]?k[h].push(p):k[h]=[p],A[p]=1}if(k[""]){if(k[""].length>1){for(var O=a.randstr(),I=0;I<T.length;I++)""===T[I].pid&&(T[I].pid=O);T.unshift({hasMultipleRoots:!0,id:O,pid:"",label:""})}}else{var D,z=[];for(D in k)A[D]||z.push(D);if(1!==z.length)return a.warn(["Multiple implied roots, cannot build",e.type,"hierarchy of",e.name+".","These roots include:",z.join(", ")].join(" "));D=z[0],T.unshift({hasImpliedRoot:!0,id:D,pid:"",label:D})}try{v=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(T)}catch(t){return a.warn(["Failed to build",e.type,"hierarchy of",e.name+".","Error:",t.message].join(" "))}var R=n.hierarchy(v),F=!1;if(w)switch(e.branchvalues){case"remainder":R.sum((function(t){return t.data.v}));break;case"total":R.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*c)return F=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else d(R,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),u(t,e,{vals:j,containerStr:"marker",cLetter:"c"}),N=o(e.marker)):B=s(g["_"+e.type+"colormap"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id)})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function u(t){var e=t.data.data,r=e.id;!1===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[s%i.length],s++):e.color=o)}for(var c=0;c<n.length;c++){var d=n[c][0];d.trace.type===t&&d.hierarchy&&(o=d.trace.root.color,d.hierarchy.each(u))}},e.crossTraceCalc=function(t){return e._runCrossTraceCalc("sunburst",t)}},7055:function(t){"use strict";t.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"linear",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"]}},17094:function(t,e,r){"use strict";var n=r(71828),i=r(57564),a=r(27670).c,o=r(90769).handleText,s=r(21081),l=s.hasColorscale,u=s.handleDefaults;t.exports=function(t,e,r,s){function c(r,a){return n.coerce(t,e,i,r,a)}var f=c("labels"),h=c("parents");if(f&&f.length&&h&&h.length){var p=c("values");p&&p.length?c("branchvalues"):c("count"),c("level"),c("maxdepth"),c("marker.line.width")&&c("marker.line.color",s.paper_bgcolor),c("marker.colors");var d=e._hasColorscale=l(t,"marker","colors")||(t.marker||{}).coloraxis;d&&u(t,e,s,c,{prefix:"marker.",cLetter:"c"}),c("leaf.opacity",d?1:.7);var v=c("text");c("texttemplate"),e.texttemplate||c("textinfo",Array.isArray(v)?"text+label":"label"),c("hovertext"),c("hovertemplate"),o(t,e,s,c,"auto",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),c("insidetextorientation"),c("sort"),c("rotation"),c("root.color"),a(e,s,c),e._length=null}else e.visible=!1}},83523:function(t,e,r){"use strict";var n=r(39898),i=r(73972),a=r(23469).appendArrayPointValue,o=r(30211),s=r(71828),l=r(11086),u=r(2791),c=r(53581).formatPieValue;function f(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!u.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,v=p.hierarchy,g="sunburst"===d.type,y="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1),t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,m=r._fullData[d.index],x=i.data.data,b=x.i,_=u.isHierarchyRoot(i),w=u.getParent(v,i),T=u.getValue(i),k=function(t){return s.castOption(m,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(m,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,L=i._hoverY);var C,P={},O=[],I=[],D=function(t){return-1!==O.indexOf(t)};M&&(O="all"===M?m._module.attributes.hoverinfo.flags:M.split("+")),P.label=x.label,D("label")&&P.label&&I.push(P.label),x.hasOwnProperty("v")&&(P.value=x.v,P.valueLabel=c(P.value,S),D("value")&&I.push(P.valueLabel)),P.currentPath=i.currentPath=u.getPath(i.data),D("current path")&&!_&&I.push(P.currentPath);var z=[],R=function(){-1===z.indexOf(C)&&(I.push(C),z.push(C))};P.percentParent=i.percentParent=T/u.getValue(w),P.parent=i.parentString=u.getPtLabel(w),D("percent parent")&&(C=u.formatPercent(P.percentParent,S)+" of "+P.parent,R()),P.percentEntry=i.percentEntry=T/u.getValue(e),P.entry=i.entry=u.getPtLabel(e),!D("percent entry")||_||i.onPathbar||(C=u.formatPercent(P.percentEntry,S)+" of "+P.entry,R()),P.percentRoot=i.percentRoot=T/u.getValue(v),P.root=i.root=u.getPtLabel(v),D("percent root")&&!_&&(C=u.formatPercent(P.percentRoot,S)+" of "+P.root,R()),P.text=k("hovertext")||k("text"),D("text")&&(C=P.text,s.isValidTextValue(C)&&I.push(C)),l=[f(i,m,h.eventDataKeys)];var F={trace:m,y:L,_x0:i._x0,_x1:i._x1,_y0:i._y0,_y1:i._y1,text:I.join("<br>"),name:A||D("name")?m.name:void 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i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select("path.surface");h.styleOne(l,s,a,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,"plotly_"+d.type+"click",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},43768:function(t,e,r){"use strict";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new 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A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in 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e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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p=l[f-2];if(p.left===h)if(h.left===s){if(!(d=p.right)||0!==d._color){p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).left===p?v.left=h:v.right=h);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){h.right=s.left,p._color=0,p.left=s.right,s._color=1,s.left=h,s.right=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).left===p?v.left=s:v.right=s);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(c=!0),a("tickSize"),a("tickAngle"),a("tickPad"),u("tickColor");var v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, 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v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function v(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=v(t,n),c=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));c.generateMipmap(),c.minFilter=t.LINEAR_MIPMAP_LINEAR,c.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,c,s,l,f,p,m,g,y,x,r.traceType||"cone");return b.update(e),b}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){if(u+=g[p]+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),u=L(t),f=C(t),h=P(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:y,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,u,f,h,d,m,v,g,y,x,b,k,_,w,A,O,R,I,D,z,F,B,N);return j.update(e),j}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2861)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:40,offset:0},{buffer:u,size:3,stride:40,offset:16},{buffer:u,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var w in t)y[w]=t[w];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function M(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=w.slice(),I=[1,0,0,0,1,0,0,0,1];function D(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=C(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return D.call(this,t,!1)},S.drawTransparent=function(t){return D.call(this,t,!0)};var z={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=z;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),k=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+T[q][0],Y=y+T[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];N[j++]=Z,N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst 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maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding 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u=t.family.join(", "),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:"top",fontSize:T.baseFontSize,fontStyle:c.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var H=z.kerning[N+B];H&&(V+=.001*H)}P[2*I+1]=V}else 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0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+="number"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var q;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=c.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)q.set(l(Z(Y,Y+4),"uint8"),Y)}else{var W=t.color.length;q=c.mallocUint8(4*W);for(var X=0;X<W;X++)q.set(l(t.color[X]||0,"uint8"),4*X)}this.color=q}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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un=function(t,e){this._parameters=t,this._specification=e,Rt(this,Jr(this._parameters,this._specification))};function cn(t){var e=null;if(t instanceof xr)e=cn(t.result);else if(t instanceof mr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=cn(i))break}else(t instanceof Je||t instanceof gr)&&t.input instanceof ke&&"zoom"===t.input.name&&(e=t);return e instanceof Nt||t.eachChild((function(t){var r=cn(t);r instanceof Nt?e=r:!e&&r?e=new Nt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):e&&r&&e!==r&&(e=new Nt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))})),e}function fn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Yr(r);if("object"!==l)return[new Dt(e,r,"object expected, "+l+" found")];for(var u in r){var c=u.split(".")[0],f=n[c]||n["*"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Bn;else if(i["*"])h=i["*"];else{if(!n["*"]){s.push(new Dt(e,r[u],'unknown property "'+u+'"'));continue}h=Bn}s=s.concat(h({key:(e?e+".":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Dt(e,r,'missing required property "'+p+'"'));return s}function hn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Bn;if("array"!==Yr(e))return[new Dt(a,e,"array expected, "+Yr(e)+" found")];if(r.length&&e.length!==r.length)return[new Dt(a,e,"array length "+r.length+" expected, length "+e.length+" found")];if(r["min-length"]&&e.length<r["min-length"])return[new Dt(a,e,"array length at least "+r["min-length"]+" expected, length "+e.length+" found")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),"object"===Yr(r.value)&&(s=r.value);for(var 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e=e.concat(hn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Yr(r)&&0===r.length&&e.push(new Dt(t.key,r,"array must have at least one stop")),e},default:function(t){return Bn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&c.push(new Dt(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||c.push(new Dt(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Zr(t.valueSpec)&&c.push(new Dt(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!qr(t.valueSpec)?c.push(new Dt(t.key,t.value,"property functions not supported")):s&&!Gr(t.valueSpec)&&c.push(new Dt(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!u||void 0!==t.value.property||c.push(new Dt(t.key,t.value,'"property" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if("array"!==Yr(a))return[new Dt(s,a,"array expected, "+Yr(a)+" found")];if(2!==a.length)return[new Dt(s,a,"array length 2 expected, length "+a.length+" found")];if(u){if("object"!==Yr(a[0]))return[new Dt(s,a,"object expected, "+Yr(a[0])+" found")];if(void 0===a[0].zoom)return[new Dt(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new Dt(s,a,"object stop key must have value")];if(n&&n>Ft(a[0].zoom))return[new Dt(s,a[0].zoom,"stop zoom values must appear in ascending order")];Ft(a[0].zoom)!==n&&(n=Ft(a[0].zoom),r=void 0,o={}),e=e.concat(fn({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:pn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return nn(Bt(a[1]))?e.concat([new Dt(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(Bn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Yr(t.value),l=Ft(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Dt(t.key,u,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Dt(t.key,u,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var c="number expected, "+s+" found";return qr(i)&&void 0===a&&(c+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Dt(t.key,u,c)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new Dt(t.key,u,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new Dt(t.key,u,"stop domain values must be unique")]:(o[l]=!0,[])):[new Dt(t.key,u,"integer expected, found "+l)]}}function vn(t){var e=("property"===t.expressionContext?ln:an)(Bt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Dt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Dt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!qe(r))return[new Dt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!qe(r))return[new Dt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ge(r,["zoom","feature-state"]))return[new Dt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!He(r))return[new Dt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function gn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ft(r))&&i.push(new Dt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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xn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};yn(t)||(t=wn(t));var e=an(t,mn);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:_n(t)}}function bn(t,e){return t<e?-1:t>e?1:0}function _n(t){if(!Array.isArray(t))return!1;if("within"===t[0])return!0;for(var e=1;e<t.length;e++)if(_n(t[e]))return!0;return!1}function wn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Tn(t[1],t[2],"=="):"!="===r?Mn(Tn(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Tn(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(wn))):"all"===r?["all"].concat(t.slice(1).map(wn)):"none"===r?["all"].concat(t.slice(1).map(wn).map(Mn)):"in"===r?kn(t[1],t.slice(2)):"!in"===r?Mn(kn(t[1],t.slice(2))):"has"===r?An(t[1]):"!has"===r?Mn(An(t[1])):"within"!==r||t}function Tn(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function kn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(bn)]]:["filter-in-small",t,["literal",e]]}}function An(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function Mn(t){return["!",t]}function Sn(t){return yn(Bt(t.value))?vn(Rt({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):En(t)}function En(t){var e=t.value,r=t.key;if("array"!==Yr(e))return[new Dt(r,e,"array expected, "+Yr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Dt(r,e,"filter array must have at least 1 element")];switch(a=a.concat(gn({key:r+"[0]",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ft(e[0])){case"<":case"<=":case">":case">=":e.length>=2&&"$type"===Ft(e[1])&&a.push(new Dt(r,e,'"$type" cannot be use with operator "'+e[0]+'"'));case"==":case"!=":3!==e.length&&a.push(new Dt(r,e,'filter array for operator "'+e[0]+'" must have 3 elements'));case"in":case"!in":e.length>=2&&"string"!==(n=Yr(e[1]))&&a.push(new Dt(r+"[1]",e[1],"string expected, "+n+" found"));for(var o=2;o<e.length;o++)n=Yr(e[o]),"$type"===Ft(e[1])?a=a.concat(gn({key:r+"["+o+"]",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):"string"!==n&&"number"!==n&&"boolean"!==n&&a.push(new Dt(r+"["+o+"]",e[o],"string, number, or boolean expected, "+n+" found"));break;case"any":case"all":case"none":for(var s=1;s<e.length;s++)a=a.concat(En({key:r+"["+s+"]",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case"has":case"!has":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new Dt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new Dt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function Ln(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Dt(r,a,'unknown property "'+o+'"')];if("string"===Yr(a)&&qr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Dt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Dt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Wr(Bt(a))&&"identity"===Ft(a.type)&&f.push(new Dt(r,a,'"text-font" does not support identity functions'))),f.concat(Bn({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function Cn(t){return Ln(t,"paint")}function Pn(t){return Ln(t,"layout")}function On(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Dt(n,r,'either "type" or "ref" is required'));var o,s=Ft(r.type),l=Ft(r.ref);if(r.id)for(var u=Ft(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Ft(f.id)===u&&e.push(new Dt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Dt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Dt(n,r,'missing required property "source"'));return e=e.concat(fn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Bn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:Sn,layout:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Pn(Rt({layerType:s},t))}}})},paint:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Cn(Rt({layerType:s},t))}}})}}})),e}function In(t){var e=t.value,r=t.key,n=Yr(e);return"string"!==n?[new Dt(r,e,"string expected, "+n+" found")]:[]}var Dn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Yr(r))return In({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,In({key:e+"."+i,value:r[i]}));return 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n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+"-transition"]=a)}return t},Ci.prototype.transitioned=function(t,e){for(var r=new Oi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Ci.prototype.untransitioned=function(){for(var t=new Oi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Pi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Pi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var 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t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Ii.prototype.possiblyEvaluate=function(t,e,r){for(var n=new zi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Di=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Di.prototype.isConstant=function(){return"constant"===this.value.kind},Di.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Di.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var zi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};zi.prototype.get=function(t){return this._values[t]};var Ri=function(t){this.specification=t};Ri.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},Ri.prototype.interpolate=function(t,e,r){var n=$e[this.specification.type];return n?n(t,e,r):t};var Fi=function(t,e){this.specification=t,this.overrides=e};Fi.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Di(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Di(this,t.expression,e)},Fi.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Di(this,{kind:"constant",value:void 0},t.parameters);var n=$e[this.specification.type];return n?new Di(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Fi.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Di(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Di(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Di(this,{kind:"constant",value:s},e)}return new Di(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Fi),Ni=function(t){this.specification=t};Ni.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Si(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Si(Math.floor(e.zoom),e)),t.expression.evaluate(new Si(Math.floor(e.zoom+1),e)),e)}},Ni.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ni.prototype.interpolate=function(t){return t};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},ji.prototype.interpolate=function(){return!1};var Ui=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Ei(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Li(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Qn("DataDrivenProperty",Fi),Qn("DataConstantProperty",Ri),Qn("CrossFadedDataDrivenProperty",Bi),Qn("CrossFadedProperty",Ni),Qn("ColorRampProperty",ji);var Vi="-transition",Hi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Ii(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Ci(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new zi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(Zn,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Vi)?this._transitionablePaint.getTransition(t.slice(0,-Vi.length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Gn,n,t,e,r))return!1}if(y(t,Vi))return this._transitionablePaint.setTransition(t.slice(0,-Vi.length),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Yn(this,t.call(Hn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:It,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Di&&qr(e.property.specification)&&("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Ot),qi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Gi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Zi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Yi(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,qi[i].BYTES_PER_ELEMENT),o=r=Wi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Wi(r,Math.max(n,e)),alignment:e}}function Wi(t,e){return Math.ceil(t/e)*e}Zi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Zi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Zi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Zi.prototype.clear=function(){this.length=0},Zi.prototype.resize=function(t){this.reserve(t),this.length=t},Zi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Zi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Zi);Xi.prototype.bytesPerElement=4,Qn("StructArrayLayout2i4",Xi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Zi);Ji.prototype.bytesPerElement=8,Qn("StructArrayLayout4i8",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Zi);Ki.prototype.bytesPerElement=12,Qn("StructArrayLayout2i4i12",Ki);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Zi);$i.prototype.bytesPerElement=8,Qn("StructArrayLayout2i4ub8",$i);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Zi);Qi.prototype.bytesPerElement=18,Qn("StructArrayLayout8ui2ub18",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Zi);ta.prototype.bytesPerElement=24,Qn("StructArrayLayout4i4ui4i24",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Zi);ea.prototype.bytesPerElement=12,Qn("StructArrayLayout3f12",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Zi);ra.prototype.bytesPerElement=4,Qn("StructArrayLayout1ul4",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Zi);na.prototype.bytesPerElement=20,Qn("StructArrayLayout6i1ul2ui20",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Zi);ia.prototype.bytesPerElement=12,Qn("StructArrayLayout2i2i2i12",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Zi);aa.prototype.bytesPerElement=16,Qn("StructArrayLayout2f1f2i16",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Zi);oa.prototype.bytesPerElement=12,Qn("StructArrayLayout2ub2f12",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Zi);sa.prototype.bytesPerElement=6,Qn("StructArrayLayout3ui6",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Zi);la.prototype.bytesPerElement=48,Qn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Zi);ua.prototype.bytesPerElement=68,Qn("StructArrayLayout8i15ui1ul4f68",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zi);ca.prototype.bytesPerElement=4,Qn("StructArrayLayout1f4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Zi);fa.prototype.bytesPerElement=6,Qn("StructArrayLayout3i6",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Zi);ha.prototype.bytesPerElement=8,Qn("StructArrayLayout1ul2ui8",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zi);pa.prototype.bytesPerElement=4,Qn("StructArrayLayout2ui4",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zi);da.prototype.bytesPerElement=2,Qn("StructArrayLayout1ui2",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zi);va.prototype.bytesPerElement=8,Qn("StructArrayLayout2f8",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Zi);ga.prototype.bytesPerElement=16,Qn("StructArrayLayout4f16",ga);var ya=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Gi);ya.prototype.size=20;var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ya(this,t)},e}(na);Qn("CollisionBoxArray",ma);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Gi);xa.prototype.size=48;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(la);Qn("PlacedSymbolArray",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Gi);_a.prototype.size=68;var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new _a(this,t)},e}(ua);Qn("SymbolInstanceArray",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ca);Qn("GlyphOffsetArray",Ta);var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(fa);Qn("SymbolLineVertexArray",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Gi);Aa.prototype.size=8;var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Aa(this,t)},e}(ha);Qn("FeatureIndexArray",Ma);var Sa=Yi([{name:"a_pos",components:2,type:"Int16"}],4).members,Ea=function(t){void 0===t&&(t=[]),this.segments=t};function La(t,e){return 256*(t=u(Math.floor(t),0,255))+u(Math.floor(e),0,255)}Ea.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Ea.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Ea.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Ea.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},Ea.prototype.get=function(){return this.segments},Ea.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},Ea.simpleSegment=function(t,e,r,n){return new Ea([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},Ea.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Qn("SegmentVector",Ea);var Ca=Yi([{name:"a_pattern_from",components:4,type:"Uint16"},{name:"a_pattern_to",components:4,type:"Uint16"},{name:"a_pixel_ratio_from",components:1,type:"Uint8"},{name:"a_pixel_ratio_to",components:1,type:"Uint8"}]),Pa=e((function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,u;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,u=0;u<n;)l=255&t.charCodeAt(u)|(255&t.charCodeAt(++u))<<8|(255&t.charCodeAt(++u))<<16|(255&t.charCodeAt(++u))<<24,++u,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(u+2))<<16;case 2:l^=(255&t.charCodeAt(u+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(u)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}})),Oa=e((function(t){t.exports=function(t,e){for(var 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Di&&qr(o.property.specification)){var s=io(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new $a(l.value,s):new Ka(l.value,s,u),i.push("/u_"+a);else if("source"===l.kind||h){var p=ao(a,u,"source");this.binders[a]=h?new eo(l,u,c,e,p,t.id):new Qa(l,s,u,p),i.push("/a_"+a)}else{var d=ao(a,u,"composite");this.binders[a]=new to(l,s,u,c,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ro.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Qa||e instanceof to?e.maxValue:0},ro.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Qa||o instanceof to||o instanceof eo)&&o.populatePaintArray(t,e,r,n,i)}},ro.prototype.setConstantPatternPositions=function(t,e){for(var r in 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n={color:{source:va,composite:ga},number:{source:ca,composite:va}},i=function(t){return{"line-pattern":{source:Qi,composite:Qi},"fill-pattern":{source:Qi,composite:Qi},"fill-extrusion-pattern":{source:Qi,composite:Qi}}[t]}(t);return i&&i[r]||n[e][r]}no.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},no.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},no.prototype.get=function(t){return this.programConfigurations[t]},no.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},no.prototype.destroy=function(){for(var t in 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vo(Mo(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Hi),Fs=Yi([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,Bs=Ns;function Ns(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(js,this,e)}function js(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function Us(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ns.types=["Unknown","Point","LineString","Polygon"],Ns.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,s=0,l=[];t.pos<r;){if(i<=0){var u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ns.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ns.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ns.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Us(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Vs=Hs;function Hs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(qs,this,e),this.length=this._features.length}function qs(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Gs(t,e,r){if(3===t){var n=new Vs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Hs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Bs(this._pbf,e,this.extent,this._keys,this._values)};var Zs={VectorTile:function(t,e){this.layers=t.readFields(Gs,{},e)},VectorTileFeature:Bs,VectorTileLayer:Vs},Ys=Zs.VectorTileFeature.types,Ws=Math.pow(2,13);function Xs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ws)+o,i*Ws*2,a*Ws*2,Math.round(s))}var Js=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ki,this.indexArray=new sa,this.programConfigurations=new no(Fs,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ks(t,e){return t.x===e.x&&(t.x<0||t.x>oo)||t.y===e.y&&(t.y<0||t.y>oo)}Js.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ps("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?uo(o):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:uo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Os("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},Js.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Js.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Js.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Js.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Js.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Js.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Js.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Ls(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>oo}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>oo}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!Ks(y,m)){f.vertexLength+4>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Ys[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Xs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Ko(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Qn("FillExtrusionBucket",Js,{omit:["layers","features"]});var $s={paint:new Ui({"fill-extrusion-opacity":new Ri(It["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Fi(It["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new Ri(It["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new Ri(It["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Bi(It["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Fi(It["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Fi(It["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new Ri(It["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Qs=function(t){function e(e){t.call(this,e,$s)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Js(t)},e.prototype.queryRadius=function(){return Ao(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Mo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];zo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;vo(r,e)&&(n=el(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];ho(r,f)&&(n=Math.min(n,el(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Hi);function tl(t,e){return t.x*e.x+t.y*e.y}function el(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=tl(s,s),f=tl(s,l),h=tl(l,l),p=tl(u,s),d=tl(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var rl=Yi([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,nl=Zs.VectorTileFeature.types,il=Math.cos(Math.PI/180*37.5),al=Math.pow(2,14)/.5,ol=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new $i,this.indexArray=new sa,this.programConfigurations=new no(rl,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ol.prototype.populate=function(t,e,r){this.hasPattern=Ps("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?uo(l):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),p,r)){h||(p.geometry=uo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Os("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},ol.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ol.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ol.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ol.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ol.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,rl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ol.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ol.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ol.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===nl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<il&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},ol.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>al/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ol.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},ol.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(al-1):this.distance},ol.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Qn("LineBucket",ol,{omit:["layers","patternFeatures"]});var sl=new Ui({"line-cap":new Ri(It.layout_line["line-cap"]),"line-join":new Fi(It.layout_line["line-join"]),"line-miter-limit":new Ri(It.layout_line["line-miter-limit"]),"line-round-limit":new Ri(It.layout_line["line-round-limit"]),"line-sort-key":new Fi(It.layout_line["line-sort-key"])}),ll={paint:new Ui({"line-opacity":new Fi(It.paint_line["line-opacity"]),"line-color":new Fi(It.paint_line["line-color"]),"line-translate":new Ri(It.paint_line["line-translate"]),"line-translate-anchor":new Ri(It.paint_line["line-translate-anchor"]),"line-width":new Fi(It.paint_line["line-width"]),"line-gap-width":new Fi(It.paint_line["line-gap-width"]),"line-offset":new Fi(It.paint_line["line-offset"]),"line-blur":new Fi(It.paint_line["line-blur"]),"line-dasharray":new Ni(It.paint_line["line-dasharray"]),"line-pattern":new Bi(It.paint_line["line-pattern"]),"line-gradient":new ji(It.paint_line["line-gradient"])}),layout:sl},ul=function(t){function e(){t.apply(this,arguments)}return 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this.text.charCodeAt(t)},Ql.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&ui(n)&&!xl[t[r+1]]||i&&ui(i)&&!xl[t[r-1]]||!xl[t[r]]?e+=t[r]:e+=xl[t[r]]}return e}(this.text)},Ql.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&eu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&eu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Ql.prototype.substring=function(t,e){var r=new Ql;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Ql.prototype.toString=function(){return this.text},Ql.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Ql.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push($l.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Ql.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push($l.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w("Reached maximum number of images 6401")}else w("Can't add FormattedSection with an empty image.")},Ql.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var eu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},ru={};function nu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*bl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function fu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}ru[10]=!0,ru[32]=!0,ru[38]=!0,ru[40]=!0,ru[41]=!0,ru[43]=!0,ru[45]=!0,ru[47]=!0,ru[173]=!0,ru[183]=!0,ru[8203]=!0,ru[8208]=!0,ru[8211]=!0,ru[8231]=!0;var hu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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h=Lu(n.stretch-x,b,c,t.left),p=Cu(n.fixed-T,k,n.stretch,v),d=Lu(i.stretch-_,w,f,t.top),y=Cu(i.fixed-A,M,i.stretch,g),m=Lu(l.stretch-x,b,c,t.left),S=Cu(l.fixed-T,k,l.stretch,v),E=Lu(u.stretch-_,w,f,t.top),L=Cu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Eu(h,y,v),C=Eu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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sa,this.programConfigurations=t,this.segments=new Ea,this.dynamicLayoutVertexArray=new ea,this.opacityVertexArray=new ra,this.placedSymbolArray=new ba};Xu.prototype.isEmpty=function(){return 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Ea,this.collisionVertexArray=new oa};Ju.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,vl.members,!0)},Ju.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Qn("CollisionBuffers",Ju);var Ku=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Co([]),this.placementViewportMatrix=Co([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=du(this.zoom,e["text-size"]),this.iconSizeData=du(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Jl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ku.prototype.createArrays=function(){this.text=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ta,this.lineVertexArray=new ka,this.symbolInstances=new wa},Ku.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=xl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ku.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof le&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Si(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?uo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=uo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=le.factory(A);Wu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ki()||this.hasRTLText&&Mi.isParsed())&&(k=ml(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ue?E:ue.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:uo(m),properties:m.properties,type:qu[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Jl.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=si(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Ku.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Ku.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ku.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ku.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Ku.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ku.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ku.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ku.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===Jl.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];Zu(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),Zu(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),Zu(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),Zu(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),Yu(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},Ku.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Ku.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},Ku.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Ku.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ju(ia,gl.members,pa),this.iconCollisionBox=new Ju(ia,gl.members,pa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Ku.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},Ku.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Ku.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ku.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ku.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ku.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ku.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ku.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Ku.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Ku.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Ku.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Qn("SymbolBucket",Ku,{omit:["layers","collisionBoxArray","features","compareText"]}),Ku.MAX_GLYPHS=65535,Ku.addDynamicAttributes=Yu;var $u=new Ui({"symbol-placement":new Ri(It.layout_symbol["symbol-placement"]),"symbol-spacing":new Ri(It.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new Ri(It.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Fi(It.layout_symbol["symbol-sort-key"]),"symbol-z-order":new Ri(It.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new Ri(It.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new Ri(It.layout_symbol["icon-ignore-placement"]),"icon-optional":new Ri(It.layout_symbol["icon-optional"]),"icon-rotation-alignment":new Ri(It.layout_symbol["icon-rotation-alignment"]),"icon-size":new Fi(It.layout_symbol["icon-size"]),"icon-text-fit":new Ri(It.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new Ri(It.layout_symbol["icon-text-fit-padding"]),"icon-image":new Fi(It.layout_symbol["icon-image"]),"icon-rotate":new Fi(It.layout_symbol["icon-rotate"]),"icon-padding":new Ri(It.layout_symbol["icon-padding"]),"icon-keep-upright":new Ri(It.layout_symbol["icon-keep-upright"]),"icon-offset":new Fi(It.layout_symbol["icon-offset"]),"icon-anchor":new Fi(It.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new Ri(It.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new Ri(It.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new Ri(It.layout_symbol["text-rotation-alignment"]),"text-field":new Fi(It.layout_symbol["text-field"]),"text-font":new Fi(It.layout_symbol["text-font"]),"text-size":new Fi(It.layout_symbol["text-size"]),"text-max-width":new Fi(It.layout_symbol["text-max-width"]),"text-line-height":new Ri(It.layout_symbol["text-line-height"]),"text-letter-spacing":new Fi(It.layout_symbol["text-letter-spacing"]),"text-justify":new Fi(It.layout_symbol["text-justify"]),"text-radial-offset":new Fi(It.layout_symbol["text-radial-offset"]),"text-variable-anchor":new Ri(It.layout_symbol["text-variable-anchor"]),"text-anchor":new Fi(It.layout_symbol["text-anchor"]),"text-max-angle":new Ri(It.layout_symbol["text-max-angle"]),"text-writing-mode":new Ri(It.layout_symbol["text-writing-mode"]),"text-rotate":new Fi(It.layout_symbol["text-rotate"]),"text-padding":new Ri(It.layout_symbol["text-padding"]),"text-keep-upright":new Ri(It.layout_symbol["text-keep-upright"]),"text-transform":new Fi(It.layout_symbol["text-transform"]),"text-offset":new Fi(It.layout_symbol["text-offset"]),"text-allow-overlap":new Ri(It.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new Ri(It.layout_symbol["text-ignore-placement"]),"text-optional":new Ri(It.layout_symbol["text-optional"])}),Qu={paint:new Ui({"icon-opacity":new Fi(It.paint_symbol["icon-opacity"]),"icon-color":new Fi(It.paint_symbol["icon-color"]),"icon-halo-color":new Fi(It.paint_symbol["icon-halo-color"]),"icon-halo-width":new Fi(It.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Fi(It.paint_symbol["icon-halo-blur"]),"icon-translate":new Ri(It.paint_symbol["icon-translate"]),"icon-translate-anchor":new Ri(It.paint_symbol["icon-translate-anchor"]),"text-opacity":new Fi(It.paint_symbol["text-opacity"]),"text-color":new Fi(It.paint_symbol["text-color"],{runtimeType:Gt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Fi(It.paint_symbol["text-halo-color"]),"text-halo-width":new Fi(It.paint_symbol["text-halo-width"]),"text-halo-blur":new Fi(It.paint_symbol["text-halo-blur"]),"text-translate":new Ri(It.paint_symbol["text-translate"]),"text-translate-anchor":new Ri(It.paint_symbol["text-translate-anchor"])}),layout:$u},tc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ut,this.defaultValue=t};tc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},tc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},tc.prototype.outputDefined=function(){return!1},tc.prototype.serialize=function(){return null},Qn("FormatSectionOverride",tc,{omit:["defaultValue"]});var ec=function(t){function e(e){t.call(this,e,Qu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||nn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Ku(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Qu.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new tc(a),s=new rn(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new on("source",s):new sn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Di(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Qu.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof le)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof de&&he(t.value)===Xt){var e=t.value;a(e.sections)}else t instanceof me?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Hi),rc={paint:new Ui({"background-color":new Ri(It.paint_background["background-color"]),"background-pattern":new Ni(It.paint_background["background-pattern"]),"background-opacity":new Ri(It.paint_background["background-opacity"])})},nc=function(t){function e(e){t.call(this,e,rc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi),ic={paint:new Ui({"raster-opacity":new Ri(It.paint_raster["raster-opacity"]),"raster-hue-rotate":new Ri(It.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new Ri(It.paint_raster["raster-brightness-min"]),"raster-brightness-max":new Ri(It.paint_raster["raster-brightness-max"]),"raster-saturation":new Ri(It.paint_raster["raster-saturation"]),"raster-contrast":new Ri(It.paint_raster["raster-contrast"]),"raster-resampling":new Ri(It.paint_raster["raster-resampling"]),"raster-fade-duration":new Ri(It.paint_raster["raster-fade-duration"])})},ac=function(t){function e(e){t.call(this,e,ic)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi);var oc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Hi),sc={circle:Fo,heatmap:Yo,hillshade:Xo,fill:Rs,"fill-extrusion":Qs,line:fl,symbol:ec,background:nc,raster:ac};var lc=self.HTMLImageElement,uc=self.HTMLCanvasElement,cc=self.HTMLVideoElement,fc=self.ImageData,hc=self.ImageBitmap,pc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};pc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},pc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},pc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},pc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var dc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};dc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},dc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var vc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new dc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=A()?t:self};function gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}vc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ni(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},vc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},vc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},vc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(ii(e.error)):n(null,ii(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?ni(e):null,data:ni(n,a)},a)}:function(t){i=!0},s=null,l=ii(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},vc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};yc.prototype.setNorthEast=function(t){return this._ne=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.setSouthWest=function(t){return this._sw=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof xc)e=t,r=t;else{if(!(t instanceof yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(yc.convert(a))}var o=t;return this.extend(xc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new xc(e.lng,e.lat),this._ne=new xc(r.lng,r.lat)),this},yc.prototype.getCenter=function(){return new xc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},yc.prototype.getSouthWest=function(){return this._sw},yc.prototype.getNorthEast=function(){return this._ne},yc.prototype.getNorthWest=function(){return new xc(this.getWest(),this.getNorth())},yc.prototype.getSouthEast=function(){return new xc(this.getEast(),this.getSouth())},yc.prototype.getWest=function(){return this._sw.lng},yc.prototype.getSouth=function(){return this._sw.lat},yc.prototype.getEast=function(){return this._ne.lng},yc.prototype.getNorth=function(){return this._ne.lat},yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},yc.prototype.contains=function(t){var e=xc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},yc.convert=function(t){return!t||t instanceof yc?t:new yc(t)};var mc=6371008.8,xc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};xc.prototype.wrap=function(){return new xc(c(this.lng,-180,180),this.lat)},xc.prototype.toArray=function(){return[this.lng,this.lat]},xc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},xc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return mc*Math.acos(Math.min(i,1))},xc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new yc(new xc(this.lng-r,this.lat-e),new xc(this.lng+r,this.lat+e))},xc.convert=function(t){if(t instanceof xc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new xc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new xc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var bc=2*Math.PI*mc;function _c(t){return bc*Math.cos(t*Math.PI/180)}function wc(t){return(180+t)/360}function Tc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function kc(t,e){return t/_c(e)}function Ac(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Mc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Mc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=xc.convert(t);return new Mc(wc(r.lng),Tc(r.lat),kc(e,r.lat))},Mc.prototype.toLngLat=function(){return new xc(360*this.x-180,Ac(this.y))},Mc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*_c(Ac(e));var t,e},Mc.prototype.meterInMercatorCoordinateUnits=function(){return 1/bc*(t=Ac(this.y),1/Math.cos(t*Math.PI/180));var t};var Sc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Cc(0,t,t,e,r)};Sc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Sc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Sc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*oo,(t.y*e-this.y)*oo)},Sc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Ec=function(t,e){this.wrap=t,this.canonical=e,this.key=Cc(t,e.z,e.z,e.x,e.y)},Lc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Sc(r,+n,+i),this.key=Cc(e,t,r,n,i)};function Cc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Lc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Lc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Lc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Lc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Lc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Cc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Cc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Lc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Lc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Lc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Lc(e,this.wrap,e,r,n),new Lc(e,this.wrap,e,r+1,n),new Lc(e,this.wrap,e,r,n+1),new Lc(e,this.wrap,e,r+1,n+1)]},Lc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Lc.prototype.wrapped=function(){return new Lc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.unwrapTo=function(t){return new Lc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Lc.prototype.toUnwrapped=function(){return new Ec(this.wrap,this.canonical)},Lc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Lc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Mc(t.x-this.wrap,t.y))},Qn("CanonicalTileID",Sc),Qn("OverscaledTileID",Lc,{omit:["posMatrix"]});var Pc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Pc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Pc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Pc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Pc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Pc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Pc.prototype.getPixels=function(){return new qo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Pc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},Qn("DEMData",Pc);var Oc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Oc.prototype.encode=function(t){return this._stringToNumber[t]},Oc.prototype.decode=function(t){return this._numberToString[t]};var Ic=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Dc={geometry:{configurable:!0}};Dc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Dc.geometry.set=function(t){this._geometry=t},Ic.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Ic.prototype,Dc);var zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},zc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Rc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Wn(oo,16,0),this.grid3D=new Wn(oo,16,0),this.featureIndexArray=new Ma,this.promoteId=e};function Fc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof zi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Bc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Nc(t,e){return e-t}Rc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<oo&&c[1]<oo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Rc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Zs.VectorTile(new Tl(this.rawTileData)).layers,this.sourceLayerCoder=new Oc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Rc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=oo/t.tileSize/t.scale,l=xn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Bc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Bc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(wo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(To(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Nc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=uo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Rc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Si(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=Fc(x.paint,y.paint,p,m,o),x.layout=Fc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Ic(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Rc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=xn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Rc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Rc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Qn("FeatureIndex",Rc,{omit:["rawTileData","sourceLayerCoder"]});var jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},jc.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ku){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Ku&&o.hasRTLText){this.hasRTLText=!0,Mi.isLoading()||Mi.isLoaded()||"deferred"!==ki()||Ai();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ma},jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},jc.prototype.getBucket=function(t){return this.buckets[t.id]},jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new pc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new pc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=xn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Si(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Ic(p,l,u,c,d);v.tile=f,t.push(v)}}}},jc.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Uc=self.performance,Vc=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},Uc.mark(this._marks.start)};Vc.prototype.finish=function(){Uc.mark(this._marks.end);var t=Uc.getEntriesByName(this._marks.measure);return 0===t.length&&(Uc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Uc.getEntriesByName(this._marks.measure),Uc.clearMarks(this._marks.start),Uc.clearMarks(this._marks.end),Uc.clearMeasures(this._marks.measure)),t},t.Actor=vc,t.AlphaImage=Ho,t.CanonicalTileID=Sc,t.CollisionBoxArray=ma,t.Color=ae,t.DEMData=Pc,t.DataConstantProperty=Ri,t.DictionaryCoder=Oc,t.EXTENT=oo,t.ErrorEvent=Pt,t.EvaluationParameters=Si,t.Event=Ct,t.Evented=Ot,t.FeatureIndex=Rc,t.FillBucket=Is,t.FillExtrusionBucket=Js,t.ImageAtlas=Xl,t.ImagePosition=Yl,t.LineBucket=ol,t.LngLat=xc,t.LngLatBounds=yc,t.MercatorCoordinate=Mc,t.ONE_EM=bl,t.OverscaledTileID=Lc,t.Point=a,t.Point$1=a,t.Properties=Ui,t.Protobuf=Tl,t.RGBAImage=qo,t.RequestManager=q,t.RequestPerformance=Vc,t.ResourceType=mt,t.SegmentVector=Ea,t.SourceFeatureState=zc,t.StructArrayLayout1ui2=da,t.StructArrayLayout2f1f2i16=aa,t.StructArrayLayout2i4=Xi,t.StructArrayLayout3ui6=sa,t.StructArrayLayout4i8=Ji,t.SymbolBucket=Ku,t.Texture=pc,t.Tile=jc,t.Transitionable=Ci,t.Uniform1f=Ha,t.Uniform1i=Va,t.Uniform2f=qa,t.Uniform3f=Ga,t.Uniform4f=Za,t.UniformColor=Ya,t.UniformMatrix4f=Xa,t.UnwrappedTileID=Ec,t.ValidationError=Dt,t.WritingMode=Jl,t.ZoomHistory=ai,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=Yu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send("enforceCacheSizeLimit",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Au,t.clone=function(t){var e=new Lo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Lo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=yl,t.config=B,t.create=function(){var t=new Lo(16);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Lo(9);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Lo(4);return Lo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=an,t.createLayout=Yi,t.createStyleLayer=function(t){return"custom"===t.type?new oc(t):new sc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return"undefined"!=typeof window&&"undefined"!=typeof document?Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?"JSON"in window&&"parse"in JSON&&"stringify"in JSON?function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?"Uint8ClampedArray"in window?ArrayBuffer.isView?function(){var t=document.createElement("canvas");t.width=t.height=1;var e=t.getContext("2d");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,"void main() {}"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:"insufficient WebGL support"):"insufficient Canvas/getImageData support":"insufficient ArrayBuffer support":"insufficient Uint8ClampedArray support":"insufficient worker support":"insufficient JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support":"not a browser";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",u,u),t.window.removeEventListener("test",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",c,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf("MAC")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchX" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchY" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "content" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-w.length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.disabled=new Lt(Lt.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(ta.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},qe=t.pick(Ht,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(Ht,["setCenter","setZoom","setBearing","setPitch"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Xe=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Je=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Xe.vertexSource,e.vertexSource).join("\n"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Br(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var qr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Gr(i.paint.get("raster-hue-rotate"))};var a,o};function Gr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Zr,Yr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Wr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Yr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Wr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Zr||Zr.length<2*h)&&(Zr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Zr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function rn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=en(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram("hillshade");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);rn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&an(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&an(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Qr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Qr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);sn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):"translucent"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=fn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=qr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)_n(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Tn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Tn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Tn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Tn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Tn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Tn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Tn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Tn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var kn=function(t,e){this.points=t,this.planes=e};kn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new kn(a,o)};var An=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};An.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new An(n,i)},An.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},An.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},An.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Mn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Mn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Mn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Sn.prototype.clone=function(){var t=new Sn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},En.fov.get=function(){return this._fov/Math.PI*180},En.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},En.zoom.get=function(){return this._zoom},En.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=kn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new An([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Sn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Sn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Sn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Sn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Sn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Sn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Sn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Sn.prototype,En);var Ln=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},Ln.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Ln.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Bn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Nn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),jn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Hn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Hn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Zn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Zn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Zn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Zn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Zn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Yn=function(){this._zoomIn=new Zn({numTouches:1,numTaps:2}),this._zoomOut=new Zn({numTouches:2,numTaps:1}),this.reset()};Yn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Yn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Yn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Yn.prototype.touchcancel=function(){this.reset()},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Wn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Wn.prototype._correctButton=function(t,e){return!1},Wn.prototype._move=function(t,e){return{}},Wn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Wn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Wn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Wn),Jn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Wn),Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Wn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ni(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ai(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:ui,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};fi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},fi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},fi.prototype.isEnabled=function(){return!!this._enabled},fi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},fi.prototype.isZooming=function(){return!!this._zooming},fi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},fi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},fi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%ci==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},fi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},fi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},fi.prototype.renderFrame=function(){return this._onScrollFrame()},fi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>ci?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},fi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},fi.prototype.reset=function(){this._active=!1};var hi=function(t,e){this._clickZoom=t,this._tapZoom=e};hi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},hi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},hi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},hi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var pi=function(){this.reset()};pi.prototype.reset=function(){this._active=!1},pi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active};var di=function(){this._tap=new Zn({numTouches:1,numTaps:1}),this.reset()};di.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},di.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},di.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},di.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},di.prototype.touchcancel=function(){this.reset()},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};vi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},vi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},vi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},vi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var gi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};gi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},gi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},gi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},gi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var yi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};yi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},yi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},yi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},yi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},yi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},yi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function bi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var _i=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};_i.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},_i.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add("boxZoom",n);var i=new Yn,a=new pi;e.doubleClickZoom=new hi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new di;this._add("tapDragZoom",o);var s=e.touchPitch=new oi;this._add("touchPitch",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new gi(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new Xn(t),f=new $n(t);e.dragPan=new vi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ii,p=new ri;e.touchZoomRotate=new yi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new fi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new li;this._add("keyboard",v),this._add("blockableMapEvent",new Vn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},_i.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},_i.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},_i.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},_i.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},_i.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},_i.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},_i.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},_i.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},_i.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},_i.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||bi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||bi(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},_i.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},_i.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},_i.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!bi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},_i.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+"end"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},_i.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_i.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new xi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var wi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ti=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Ti.prototype.getDefaultPosition=function(){return"bottom-right"},Ti.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ti.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ti.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Ti.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ti.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ti.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var ki=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};ki.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return"bottom-left"},ki.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},ki.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ki.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ai=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ai.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ai.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ai.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ai.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mi={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Si=t.window.HTMLImageElement,Ei=t.window.HTMLElement,Li=t.window.ImageBitmap,Ci=60,Pi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ci,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Oi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Pi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Ci)throw new Error("maxPitch must be less than or equal to 60");var i=new Sn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ai,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Mi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ei))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new _i(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ti({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ci:t)>Ci)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Bn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Si||Li&&r instanceof Li){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Si||Li&&r instanceof Li?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Si||Li&&r instanceof Li);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Ii(this._canvasContainer),Ii(this._controlContainer),Ii(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(wi);function Ii(t){t.parentNode&&t.parentNode.removeChild(t)}var Di={showCompass:!0,showZoom:!0,visualizePitch:!1},zi=function(e){var n=this;this.options=t.extend({},Di,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};zi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},zi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},zi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ri(this._map,this._compass,this.options.visualizePitch)),this._container},zi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},zi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},zi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ri=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Fi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ri.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ri.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ri.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ri.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ri.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ri.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ri.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ri.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ri.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ri.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ri.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Bi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Ni(t,e,r){var n=t.classList;for(var i in Bi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var ji,Ui=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var u=r.createNS("http://www.w3.org/2000/svg","g");u.setAttributeNS(null,"transform","translate(3.0, 29.0)"),u.setAttributeNS(null,"fill","#000000");for(var c=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<f.length;c+=1){var h=f[c],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),u.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(v);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var y=r.createNS("http://www.w3.org/2000/svg","path");y.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(y);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ni(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Fi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Bi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Vi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Hi=0,qi=!1,Gi=function(e){function n(r){e.call(this),this.options=t.extend({},Vi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==ji?n(ji):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){ji="denied"!==t.state,n(ji)})):(ji=!!t.window.navigator.geolocation,n(ji)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Hi=0,qi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&qi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Ui(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Ui({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Hi--,qi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Hi>1?(e={maximumAge:6e5,timeout:0},qi=!0):(e=this.options.positionOptions,qi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Zi={maxWidth:100,unit:"metric"},Yi=function(e){this.options=t.extend({},Zi,e),t.bindAll(["_onMove","setUnit"],this)};function Wi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?Xi(e,n,l/5280,t._getUIString("ScaleControl.Miles")):Xi(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?Xi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?Xi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Xi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Xi(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Yi.prototype.getDefaultPosition=function(){return"bottom-left"},Yi.prototype._onMove=function(){Wi(this._map,this._container,this.options)},Yi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Yi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Yi.prototype.setUnit=function(t){this.options.unit=t,Wi(this._map,this._container,this.options)};var Ji=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Ji.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Ji.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ji.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ji.prototype._setupUI=function(){var 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this._fullscreen},Ji.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Ji.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ki={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},$i=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ki),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return 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this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close 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function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11328:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(u===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,v=s.matches_head,g=n[p],y=v?g[0]:g[g.length-1],m=v?g[1]:g[g.length-2],x=v?g[g.length-1]:g[0],b=v?g[g.length-2]:g[1];return e.pointsCollinear(m,y,d)&&(v?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),y=m),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,y)&&(v?(r&&r.chainRemoveTail(s.index,y),g.pop()):(r&&r.chainRemoveHead(s.index,y),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(v?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return u.index=t,u.matches_head=e,u.matches_pt1=r,u===s?(u=l,!1):(u=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},76767:function(t,e,r){"use strict";var n=r(14847).n8,i=r(14847).Ag;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,u=0;u<o;u++){var c=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),v=s(t,l+r,i);e.item_loc[c]={length:v,offset:d+h}}l+=p*(r+i)}}function u(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),u="",c=8;c<s.data.length&&s.data[c];c++)u+=String.fromCharCode(s.data[c]);e.item_inf[u]=l}i=s.end}}function c(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}t.exports.unbox=a,t.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&c(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&u(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(n=(r=e.sizes).reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return 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n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if("function"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},y.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},y.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},y.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type 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i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){"use strict";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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oUMjGUCDRMCIgJ6Qe5mtuM0T8hCHfkgOZ3DiNHenAJ547x4n4IkL+fhgtfwTQj5DCCchhGNkPMMSp2ghWesaN6Oiuvx7aK70mTv9+m4PN/RYyMUiARIgARIgARIggZtKgOL4Td0yXC4SIAESIAESIIEbSaAUfhyjRPBY5W4TvOW5KVEmXh3eK5fjwaZP9/Iw3Isp3vcpPIin/fs+N29n5APnwoFHPgTcwjnXifbsfVh6KTKZTPiW4pXOOXnvJVakdz3k9Srx+DLnbR1WxnMLhzTLvJ6rbSIie8mU3nmMVSIl1sRJLMjl89fhLri159EZGV6d25OjWEa5LkqlLsoobmpot81nN5VFPo5xmJRaHWDXSX595vi1zmsn3u/h0kaBupzXiuPqfJY2jWtywa/JHLfA8Xit8/y6H46Iw1Usvmq4rYz2nWVRwVnF5erLtqls3VQUB/lV+2fMU+zLZbE4u4L41vK40tSh+68J4NLaYRK5/S2LrPVhZ8J5bQwQ57lLdbjLdea+l8aZaem3ejUkj6b38FLLVffzaT/WyBnpIBG8lC0tO6jue+vRme7yOqX+GMhnTjph5HzunD5PY8qnDjhqu4WUuX3mvHva+PA4dN0TFdFFbJfnCmdosUbW4qQ97o4C+pjzXmJeKKTfyLMIF4oESIAESIAESOAmEaA4fpO2BpeFBEiABEiABEjgtRIoOd7itu5G0TugU4f3gCVyf4jBHaJ3DzCEe6nv7w8pvpNS+lKK6d2UcRcuL5CxANzKAVJIUhzdC+QsESbi5g4hBSks2ToPyec2pbHkZFS3c9H6THgsSp28Rh/Rt4O+7kaXiE64XXzyIk5x3arz+YqCkM9V04o4WUO3d13mL7YBnzuXayejguj42JlWTdh4zoJ8qiW4ppjmC62/CLQvNODlA5nU/+pr8KKu8asXcWfpZ4vyouv1avtNXaL5uheRfp6jUwbT9bywexRh+xW3gGz6IA0bs7Yh1cTrJpFeCXWexbFePxD3vGx5EdYlgN8eo/PdnOki3Wds4FwfshYpFef4xmW3kUQicadHF8+TS6fOu7Pg8TGa8KFv3ccu+E/Q+GfBhSdocIwWx/A4QYszDNigx4B31IVeI2U+xV7IUUmABEiABEiABEjgzSDwotevb8baci1IgARIgARIgAT2loAI0yXPW2zRIlo3KhtJvMmAA/VjJqxE2D4/PvlGjngrpvx2jvndmNPbgLvrvVsiuYPONXddxEqmKZneJdJERHARuzXCZPtR1TMTw6ozWV2nxf1sYrX8neGsYqK5kzX6pOZ7Zy1E2fsNYilIOUpsEocyn+kl7m352qY5jxnZ212CK76HBDRQpkSuvOrqzxsXxIU/TdPei2t9dLVrTvoU6SI/5RztMz1KWD6QSeR1ueR7Xc4inmtLQv279oPQ33DKDudOioZ6rLN3PTzOY4pD1oiXeAznP3Yuf5iD+3MI4TF8enx4b/VL+LyGy6dounN1oUtG+uHoQJdipyw0+qo7CMcjARIgARIgARK4VQQojt+qzcWFJQESIAESIAESuIxAcXyb4C3PIxW9xfEtgvcdDR7IeBhjvBtieBCP+x8g4i3kfD9lPEgxr3LKXc5ZM72Xq4M25dwOMa5iyk12sCKVwcOFjM1wqtEWc+e2va9FCieZ2nRyi1tQ+VsSQYLETpfcahWqi2xdHcmauDF9LoUs5xZYydrekcKvKUC5Tcz0Norj/CXtJ4EqZH+6tZ9uobTdqgrb9tMas8+rwF3SVlT8ll4bg7OCrKPIXqdRhXst1SkCuYnjVUDXhjXJVk/N6Fy3zPRiYy8FSTUzPSWklOTLXuJbpKhoE8Lgsu835+uNdyKEu3N4v4Z3awR3BOcfZY9Hq+XqV/D+Y0hJ4BafADjBEidocIoB57gHcbGvZSmdGyvjfjqkHJsESIAESIAESIAEXhMBiuOvCTxnSwIkQAIkQAIk8OIEiutbhO9JAD/VjO8OZyJ8D3eHdbyfJNs7+Yeb0/NvAf49JHzJwT1EcveQ3BI5dx7+sE3NHZ+dOL1NsBa3tqjYJcpaMpHFNmnfFRna22sOEegkc1vEcTF2+1mUSZW75mUqZdo1ojlr1nfvRRwrAnWJQhmlcPm8iF2TkF2XFCqOBYQxlmE3n7nK8leGbhSx/tVDOV58u3FIErhpBCbB+RWX7JK7J8thnxUALR1FaqzLPJ1dGsViM2gPEHWKj3n75gyvzvPaTqYZ8Sp61/gYy6yX7HSVzjXGJUNLAJTs9TQkOHlfXemzDHif5aDZ6fhyzJFsdBXYzcTeO+fWMSUtJpqdO3fAmXPuGZAeOec/HPzwh+Zh94vU9k99bk9CG07aRXuCgGdIVlpY41+gLnR5lWnycPOKuxtHIwESIAESIAES+PwJUBz//BlzDiRAAiRAAiRAAi9AoBS6rAJ4h1MsEXEXGzzA6fAwpuHt1McvYcDXT0/6v/AID5xzS+/80nm3dNkt4STbGy0ypMBlJ15vFZBEuCrpvipOS0HFEmOSJDxYRHFVpuwZ2jBFmvhaONHEcZHNYyjOzyKImUhVRSwT2i2+ZDvGROaRxPXdlKKC8+Di0RtehPrRUW7wrMCfieONimNlfoXtlkiuTvOrH1SqXmCH5CBvLIFPcwNk4UdT4PgYoSSObmkoK2K1HhPKP3tffscuY9CCqtu/QktOsiz6FDN8rTOwE84ujXWDVqLVkqN2XJN5a2FSOz7oU/7pe/teDkeSeS7fpCFPmeka+2LLZ3EzQPC2Hiqwy2KbI32DnDfZ5SEHrJOL65TEPZ42Med1j3SWcj6Bw6Pl4cHPEPwf3KL5uO26PzUNnsLhSJ3nckSHPZ3bqer7xu5xXDESIAESIAESIIGbTODTXBve5PXispEACZAACZAACdxAArP4kw7P0En0yXrAoc+463rcdTHeRcLdo6dHP/DJf91n/1Wf8wOf3QH0mRcu+8OuWd512XkRhNX5qA7IhJSjvg9to+5r1Yvk1YKB1SEZXUJzZ6GZ3TaMFaeUV1GM9H2OpcKeM0HJWYawCFbJiRXSplczg8d84KJ31cjxKoaP8yh536ZdXydRT9/tDqXO0iSa/3QZt+seN3GeDxIggc+cQDmmzH+/Y6SSzqz8Lmdu7d1lKFr11sfTIWHKJ5//iKsIL417gxd53gR0yy6vOepWKDQUYVyd5CUTXQ6GIt7ra2nwU8e5NLiV8bVYaAbOT8/0NaiUbgK8vmojYxHXZSW8fSbHGut5I7ExWPfDcJQdTuHcaQZOMvLT7PCRB/4UQ/7Dnft3f5rDcJxD87SFFg09Rae55z3um9tcnOeMbPnM915OkARIgARIgARI4BICFMe5W5AACZAACZAACXymBIoDXOJPWjxFiwZdKXh5Bx4P0OMhjobvIbuv5Zi/mlL6Ss75TkpJ8r4PMpxkf4vze+mcV+d3fZh5WgRscV6a41szS+RV31tBSxHAVT7ygAv2vS9Cjojbm5hU5C5Wy+LiNKFcRK8SoLIlPFWfZnYeGxHhq7uyFuAzvXy+tJYrPhPfRdhS0SkVp+cl5E3onovjdaqzqV/jDNfxLxQE/Uw3MSdGArebwBXFal90pTTz/9K7KPuwNlZdOoi6uUW+3jq0XTnr3WnIcS15O/6NvWFmmeXSDtiEpuSUm+lbBHNr4DMRO0EaEc39Xqevh40S89KGxuJeJPlFY8vtmVLSZW/yEi5LA6Q40NUqP77K8U0+E2Hd3OgyD225LI5x3wO+z3AbOHfivDt1jXuWG3yQPT5ASL9d3F38Fh6PEfAYvjjODzXjfB7VMtn3X3TDcTgSIAESIAESIAESuIQAxXHuFiRAAiRAAiRAAi9NIGcpKTnmfwccqwt8iVOJM8HdeBbfiX3/du7jl4cY389D+hpSehtwD5oc7rQxPPDZy7BL0YqrkzKL89ADfRwg7yU6QItRSiHMms0t9d+C6CsiEE316qxuXRHHRbzWWBIJTSkRJqM1UxyUot2LaG7Di+NchXUZT53m5srUaAJL+C6xBCKbi3vcXuWffFfjCGrieEomXok4LvOQV8kYVkGrxKJI5MGu47tuCBGkaqzCJF8Vl6aI/yJuXXUVR8v4S+/PHGG/CFz523khDPYDu+znV3961eV98fctIrIcMxpI9rcK6bN5Xj5eKddbYpVkjBCsl8t4vJBj0vhXOSiWAsE2DzvW2CSqWm6NaGMszLhGDilasdC6ptMwcpgMaNJCRXJLprJYFo1v0dgnkbCTtVWKcC7PKCp7RtbXgC6skJMsc80612N0zC6vk8tHCekkufQ0u/zMef9nH/D70DS/C13zyDf+abcKH8PhBB4naLVI6Bp3R8e5ZJyL85wPEiABEiABEiABEnghAhTHXwgTByIBEiABEiCB/SRQCmF2eKI13FaaGAvcwRoPYo93h5jejf3wbk7D+2nIXxbx2+V8x+V8gIwDByxdhuWCA5InrnKIlrsUV7elAKi7W5zcohep7B68Fq6Uz+x1nt8thTDFRCh136q4tHtJM4scKdm/dQuakGPZvirJFEG92DBNEBoL4FXhW4Qgrx+LuB3UmVlye2UFosQXmPgk4noIHllUIskWb2RJB/0n6+29Tcus7rsPy/y9/iHLfDGzeFy/549+hbT3vBH5PQm8GQR2875fdq0033tLHi8Ctkzokrur2bdjtvfuPC//2U/ZLPV7PazULPCxaPBUPLgeE63BUY4VtlCjcK+xTKUQ6M5CSJ65jV9f67jTSslRS7R5FcHLo2aWj6s/i5SZCovawCKupxiAZAd/PQ7L8bNkpluHIMtLL5Ex0sLZO+DcJ6yzw1n2+Si7fAqXzp33jyXfPCzDr1zj/hh8eIQVHgF4hhWeYYMzPFThXDLOxXnOBwmQAAmQAAmQAAlsEaA4zh2CBEiABEiABPacwCwHvMUTtGixKCK4lE57GPv47rAR8Tt9Cyl/Kye8E1zzMGccpJRWOaPLOS3gXOfFbC0CiP5ffIcquJQik+J3dAmxzRoNoHm1Ik6Xgpgq5qhmIq7r4uqu4nURsk26EWF8y3NZ5By1j2+9N8FmuuTRgnO6SOYoLyUzTUSq+b0lm1dXRx2SIpKX3HF5r8ZNy/NVgUcWp7gkZZoi9ueQkJsMtBkxJPS5V/e4CP/m4LxE0C+fX3+BZuL4VZnlz724u3Tee/4j4OrvFYFPI45rfxEVl8dAkqr6Xsj5H49QY4xL9WJvS+G1eO/FjWBHKD2altmJaByiyMfTEaD+pKsYbn9PPWbm07DxSwNdWa6dNRnF8Wm+U2OAy+IKjzO5fWepd1T+i8cjaZiUSJaak248VQyP8uo1PCVkD68C+lRstMa01OipUmsiwbszeJzDu+MccDYkcZ3jz2jwcx+aX4e2+XPbho+aBZ5igSN4PMWhFgUVsZzFQffq18+VJQESIAESIIGLBJ57/0RoJEACJEACJEACbwaBUQT/CB2WWEgxTETcH87wVt9v3u/PN1+Jm/g19OkbXdO+5wbcR0x3XcLKJRwGH1YerpOYkz4PavxTabn24i/Z3iLKqAu8iNqa+11EcOnGr5ngGjFiwnSRfra7+6uffMr+LnMqRTJFXG6lHN3WhrGLmrnjsX69EzAsGeBhsCxwdYLbrDVTXAQZScvVXGD5WxyOIuIUi7sWrpPcF3FPGgB1YdaUgyq4B1nHiNREYOGQ2qR/D07iYjQ1/WIsylYBv+ddol3uM9Wxnus8fzP2Z64FCbwqgU8TqzL2PJGJFFv0JGHPfn7lJ3zh51jinsYhZz/aXcl8XL+tQ1g5LmljXT2OzI6lskzjga02/ZUpOXFoi+hssS4yVp39/Ihz8ThSj67yKhFRoilfjPzWBoNLCpHOp6cGcWVQGy1NJNeSn3rMtWOsHmfrCUYiqIrLXET0JloDZc1Br4ti8ymFRy1R6xwpncG5cw935tGs0eF0kzaPY+t+v2jan7eL9jehC79Fh4+xwlONaFljg3ctpsU5PbrzQQIkQAIkQAIk8AYTeN6d1xu86lw1EiABEiABEngzCVwoiNljJTngELFYpCV6AAAgAElEQVQ74T4y7j99evJ3Cf7rLuX3XHBfchn3kNKhAw5czoscY6MOayliWTySNQNbZY1WesUX33V1fRcHuAgfsTq/g4nnolJYCG2RhMbYklL1bUsIFyOgqbyW7L0joItgnRcqXM+dmZMMZILR3I25JV6paG9pt7XrvghFInZLjq68qjO0vKo4bpG5pcidxBIUIUfjBYqTtDjWJedchXA/ILYijgOpyyqUiziu+eNbDQPTfjjzt1+7c9bYg/lAlwnjV13oUT9/M3/7XKsXJPApCnJaw1kRdEdx/OJ8Jzf37neiHlvj3/Sw98/r1GESuPyqm/J68fg4JYXPGx/HqRfx2RoALxw/dhZ111Fu49jxc66CT2tSY6FKI+WFCdhyaF2HSZo3mbxkpNv5ppwsSsKVnTgsN13FcRH4S6EKE9OLKF8aNVMvhUPLMOUYnbRnj62gk947wKlzOMkOTy3jPH8cXf5tRvzDg3cf/As8PkHAUwBHcDhGizP06PHWGNFiuV58kAAJkAAJkAAJ3HoCFMdv/SbkCpAACZAACewzgSKEd1LYEqdY4RwP4fDw7Mnx+zn7tzH4r+ce33YRX8sRD5GyCOArZLfyDodST1JFChW4Uyn0mOEaKVYp4bJWYc2cfglJndERXVtci0UvFjHcnOKSr53MHV2yws0pWMXqrMJyExuEJBMvok1xEm47IYuQMgvhNkHbxldn4dZ4NT/clsXc2WI3rPECJdIgB/jUwaeARsRwEcYlpmBw8NEjDB6STKviirrDTVRRWUjXX4qGmnijwoyILyXDV5dY5u0H9K7H0CXkRUZaJAyhx6BFRHdF/8LgBXdkHXssCHq1U/x5F3kUyF8QOAcjgRkBFW+fYz2vX1/2G6vRINtQn/9rnMT2i7/sURC3FrxaPqHo19XKLY7y2rdm1uQ4d7jPcsprg2ItllzHrM5tLShcGhnGHkR6bJr1+anf18YIOa0kh0aKkhahfTwHjGeDIupfaO2bGhDEFO4su8uOwa44zov7PPZRzw/ByXnC5HZxnqeU9Fjfrj0aObaX85ee1+xcsk5IZzGlUwR3DuA0NOGZ8+GPwfvf+jb8Mfvhw+ZO95vG4yN1mkum+QNIEQzJNKdgzqMFCZAACZAACdxCAs+7b7qFq8RFJgESIAESIIE3i0DOWqKywUeaB96g0TiUQwAPh2F4K63TO/26/9owbL4Th/wdl9w7jW8OXcYhklshiRvcdSoROPHkiVCQrDu9OMM1DsWCuCUHXDTnTZJ8bMn/FqFXcrKLWC5JAiKA92tNFDARSMR1EVuqY7sIxEUFEknDxAcbVkSVNrUmPKu6YZ+P/nD928SbeTZw/V7EDhFXJnm+jF9jXFQBmgRxc5Cb4CL/+9ygjSuE1JpbXHJu+/Ic5O/y1HnMo1tkOgJAGgBKKIA6FYtAXTMKtLDogI3vEbuEtEwYugG9iOOinfgsLRKjwDau+bWVOCfxzKR1aRh4vjB+mZu8uvefL8e9Wb8jrg0JfBYE5vULxumNByf7ZO6k3p3nJI6/4G1YVdrHwecHnDp1lX/HWe0WwbzoUp+O1fUYPB4hq0A+Hpu3He3Sq6ZJJjrP3fFbAvkokk/j1qWr4rocA0da47GvHLetaXMkWeqEGtsSyzId/8xRbpEuJpK3TatiuExifJVzkJzmYsBhXlgsVimiLKK5RbTIMFkLLmtDqPZw0mbQtfMigPvT7HHU5/OP4PHIB/+70IRft137u67p/oAlnsDjGAEnGLDBA4tmKfEsPOR+Fj9AToMESIAESIAEPgcCL3hV9jnMmZMkARIgARIgARK4QCDn3ADotGxYiyXOcF/ST2OK7w3r9G4f+6+EwX8T5/47LvqHGekg5bzKLh1ml5YuiPas/cg1vkPFZY0/MXe4arse8EH09plAUsRki2nNaLpWi2KKOBCzScFVqNY7/HKbr3qwM7nIusXba0qTga5G4E4rO+uWP8oj9ZJEpzR2sbfZzIvf2cxrQcrJMTm/pLGu/dMn098ioWiESmxUBNf4lMEhDEFfXZRYFYFoIkuZ/ZihPmrl6iQv01X1f7YpRXPxA4YwIC4S4iKi73ps/AZDiHBe5m/u01Et2VKx50J4me5cOK8h71f8fkaSl0gxVU8vLkn+AklgTwl8ulug0nQ3Y7f9W67HLR3gkviSaejr8l3mx8T5ZpKjWO0RY8fH8UClR++L420tzyWxKJOjvLjOy0HeplSmWI/5ziFq7YgdhuWYa4eynSYEE5jHlbAeOLvh5Fdrx9UlXhYHwUu0lg1vxTlFBC8C+SxHvc5Qz1Hj02Mz9GOxDGkA1X5AJetcxPtaR0KmiSjPWQOoOtJbdabHlM6zy2c5p1N4nMDnMzh84jv/p9C4X4Um/N43zYehCx/A4WMc4BnWOMNbOHfOSSFQPkiABEiABEiABG4AgU93ZXgDVoCLQAIkQAIkQAK3lUDOeQFJ736GDi0OVAiPw1sxp7ePn578NbL/lk/+L5DxTor5ACmvcsbKp3CnS4tOndfi2FYRXHKspVBaRHIRvpPoD3F9m1NZY1GKWG4Ob3vqY0vksM+iiNtFTLBBimXcRtBu7KIbmCoxSS9VxjYn3zyWtmbRWnxLCrbMZQHUwWdu8W2R3KJLirBStBSNf5H10iDwSXSpYnbtRl+zaGs8iuUESw6tFNTM6hjPOhmLUxGeASWuRYvdldXTzPQa1WKfBfXfV0FlZhUttlBZvhgi0iIjdxl9s8FG8sabBCeB6jLfEktQ5lLntt0IUeNotvKJn7fHV4qlsWKmOVW6cxnqygiILUF+V17jJeTztgK/v8kEPu3+W3KWyjFuFKgvaN0X52M/q/oLvG45LhfHJ2G+iMLlmDwdr7YkbTtEz4Rpa1ycXNl2RLfONfUIPDUuSgHP6Xs9NzhgsDrF42M+zHhc3Dr+19qlpeeNnotm429Zw8dTymwHmjV1ZleOv+IYn1ola+OsHF5NMJ81MpbhtLFXAsIap8tfGzhrhry1K3tYBx9rwNRj/Va+ucdwLn13JPe9nsJsfnZOFAd6GpzDsQ/u1Dl9HiXkPwUffhVD/MXBw4N/yyE/adpGcs2f4QAS4VKjWaTaKR8kQAIkQAIkQAJfIIFPe2X4BS4qZ0UCJEACJEACt5dAcYSLGN7hDIc4wZdwjm+mNb62Xp99N8XhOznmd7PLh5IFnqHZ4IsMHBR9eOb0zlZQTCJRrE6ZCa7qEi+RJjMBpArhYzf1MVf2aqfeLumLQ15+CXHZp7tpIZrJXcSZKk7Y/KqoY+/nEq8JFfWTjChueMnurqKK9H7XLvDWFV6Kh4ofMGiBzaY4wyVLvOSK95P4MTkdC8wdJ6bKHbMVUxmkFo+7kD1cGh40kgbQfgBN1sYAK8RZ3fy2nSb3ZHlfHPrVwW8RKLOGDOVU83FNtaoSWY2tqY0SWkC1OjiLVrQlXNXomhqBoI0A8ygbG6kWRR1FOZ2RFLTjZeTtPSJxyW8+gat/X9V5fvkR/OJ4l0ekX3JUr+2lO3DmU7Tj33ZQSx18u0F0eyK7DXMvfvbZnU6ZkrWnjo+LqVSXtApWA3hZ/rq8dsaZiolO61H87jqpyfsujcPqKq8wxLWuBTesN5K4za0h1hpkraFW2hXcGQB5nuacpRjoEQI+btrmp82y+ddwEH6PFn/CEp9gg1PcV8F8zSzzm/9r5RKSAAmQAAncbgK8q7nd249LTwIkQAIkcAMJ5JylQGaHIywRcafv8TAN6y8P6+Er/RC/4Xr8VRMX/95H/3ZKcZVzOgTySuJOXLHgpSwVIe3m3zLBy6sImD5jg16FVr1lF2Fc38jrPEt2UjqmRO+SvD0WsnwNAGtmrOZ/T45yW/qqN8ydghaJrpJsyS6PKrDXuPLtLvzVxWiO8aARKqEP8H2JUxnkdcr8vlzCuZrLdoG6SWUZfZyijSTLbtdtKCJ5EfPVVYgI13hz8ut2G9d6Esy1kaOIPyUORxtBin4fpexpcV/K2DLNuSNUhHF171t7QcnjlY4GxtXc9UX6nhXN0yT6Wf5v3SJVIJ+skhTHX8Mvh7MkARJ47QRqDYty2tWEG3GbS2SXFHsOWhrEHOi+9E4CssSz6MHaoXOtHpdjGqRXUoLHUfZ4hoBjNPhzn/vf+sb/LDThNyKY+87/uVt2TzHgDHfNZe6ckyxzPkiABEiABEiABD4DAhTHPwOInAQJkAAJkMD+Esg5twCWOMYSCffR420kvL1+evY9H91385C+7WL+KrK77xNWLrs7g8uL4zy4FKYMcMtDNXFcHMUhSFxKcYKXvPAqlqo4KzngO13jZStsO/qmIpjzLVQLVL6qc+9Tb+3iUJbpWNZrERnKhC9zJqo4PsaqiHO8CMsl+1siUby0LmhtUOsW77TYpocfAsJMGNfPIZm1r3YZZO7r6ylocrtsSy1UWiJkqlO8rLcWi5sL0bMiouoIr0k2VWQXr7bm/WbEVkyKFu1gefKzjHkV3cVBX74vsTcaQVMKitbiqbWi3qwpYrZis1iC8umu+/NT7wucAAmQAAncIgLz/k2y2FOMl0VzaaOs/LPKodYwqQK6NFiWVxHKpU9OKfiZokSElZ5PKaNr294Bpy7jFBmnIfhnwfmPsnO/RRN+5h82/4QWHyLhERp1mFfBfF794hZR5aKSAAmQAAmQwOsl8Gp3ha93mTl3EiABEiABEngtBMZimc/MEQ7gwdDjS8NZ/81hs/5B2sR/n/r0FQfcaeDvuYR7LrtOhF1x7Aaplumc5rWeLjL6kEqBzMkzLYKmPEMrzmITJyViQ2JI0ixfNXjJvDbHcS1IJsNuabZX5FXX+I2bJI7Pu7erwH9Jt/3SVqDCrxS21LVNDkEECXGII5SM2ACI8V4y2SVGRYTxIcBrsc2SKb7L6qo96hJIFirynAlIvdPRBW+RKRYDU9zu2u2+hCOUlZ83WtSGjzF6RXsI2DRFHM+dieRqqS/OdC28Kn+HrI7EMWN+nH5ZJhHXq5N9zBOWDN0pVmC7UqgV35tiVCan+2v5IXKmJEACJPCaCFjj6PYttHXy0SOoHdfl+F4yr7TRVs8ZVqdCjp4xyrm/jFVjV0RAF2lbHeiuvM/2Wt3p2a2Td0drFx/nxj1ywf/Mt/6n3SL8ojsMv4fHIy362eMM9zSSRQp/TtWxXxMzzpYESIAESIAEbjoBiuM3fQtx+UiABEiABF4LARXCP8QCB1gh4S42eIA1vtJv+m+56P6yPxr+Ftm/jZzuJuS7zuU7LrilRKDIvbAUxbTcaKnsZe5e/VwKgslr6y0WpOSGT7K2CY9RRPIqqJbxtfhmLZ5Wb76fW6ixCpkTxisLMH5RpC9xjs8LwFVhXPiUqNcxO9vEhVKQUwpjZolICWhSowK5FdYMWvBS3os4bjnjEq8S0GSx6xeF4qqroM+i1aBEokjDha2PbP8SZCJCs1S1mz3GWRb3uOxHNm4Na5m2Y5HaiyiuWTMW2xLkNSGXfHN5rwZ5jWixRhdZFunIP+gwItCLKC5iTzadfRTLbQUscVwiVOw5VlktMS5f1C7D+ZAACZDATSBQBfDpCK5Hd120mgUvmeT2mBqvayO2NoJKVJqeDkoeuTjM5X15zVIwWr/byS3XPk9yPsvIUUqL5vWQ4zFcOhlcPs4+H8G5D9pV8xPfhF+GVfitRLK0i1YyzI+Lw1wE88/iLHcTNgeXgQRIgARIgAQ+EwIUxz8TjJwICZAACZDAbSaQs8rFCzzGAh1WOMP989Pzr4WI9+MmfTdv0l8h430M+WGW6JTk7nfN4sBugK3wogiN0UkSdETyUYXKpEKlFM8UFVdyw6c88CGamWssKFnuVS0SWpy/JmSWnJDxVcVxtZ7Z7fg4ft0As1teHf2Se+A6yGu7O75EHDdRdhKCVRi3Xum1OaBqDbpO2UVdtZBMGFdn+NCYOF5Ecct8tQKc6izXDTUr4rbF5ooKc1ft2FX7mH9fgc6urkTIL1tRM3Q0V16dhdsTHhsBbI9SIb3mxOs2n81Pxk+p9J7XfS/ZvibRKn7Qhhk0UJFc9jsVzotTXBsWXMamkczyUmxTBfI0CuRV5rEdcBLGi4xed0CzM/JBAiRAAntEYBTHNfdqOkpb3FmpAxLs2qCK4xZzVRo4axcoPTEUcVwd59oFyARxJ72g7Ds9CUriilVLVmE8bKLUedbzvxYHLeccaXwH0G82mxPnnQjlT30TPvDO/SaE7t+6RfhN9unPzQP3IUI8xsHBibjLAWwomO/RTsxVJQESIAESuECA4jh3ChIgARIggb0jkHMO+AgrrHCgnY8T3kYf3x/Wm+/0m/6HMeLrjW/eSinfyTHfR84HyL7RKBNRKX3GOp6p4Oi8h2/ks8mhK6JjbiwzXPzj5tw1v68mZeeEphREnOBPN89ye+uDiJJFLK7uY3ktI9Su2lsbr3w5P7lfdqK/meJ49d7Z0okeUAXy0gwwQ5XFRA8xRmueuLjC+0bf6zNWx11x3aXqyCt6rmq+0k+9KtTF5r37Sxi7zu+4vNXmPrm6TSyRkS9zg5sVe9TNRcyQ6WoqzM7W2cmQr1+XGpqzpSsiv2aWW8OMFGkVp7g0zGihzuoeVze5Ra/UAq8pSKTPoJnlNZrHVSd4bTAY18cEchPJZUVU3ZfWmRcNptm74wtXmARI4M0lUMXxrXN3jTArYvnU68fqRNRILRlHG4IHOfZOXaPmIrdcY0Rxhss1gorf5fykg0vkisjfsSRqyblNin2WQ7LGiTkctCttGNbD9KCN6YPL/jj4cJI8joc2Ps6d/11ow780i+YXCPgtGvwJSzzBXZyVgp8yJh8kQAIkQAIksBcEKI7vxWbmSpIACZDA/hIYXeGfoEOHBQYcYsA78dHme27Ad2OfvhnT8PWE/F5Gfgjv7mdgpWL3WOxQLdoqWMuNqjhz/VKE7qF6wzQPvA6vhjIvXtxSlFF10EnY1sJb/aD549X5ba9VDK+u8fnt96wTt06/hFrLWLXgYpVnd0Ty3ZP9jRLHq26bLeJjdMAV3SCpsFCE5/KliAONJLhKXMrg4XoRx6swLrnioeS7mhBdDfiKt5qdG2E8t29fvCSaMrYvI1hdgLbZylwuCuRl28xd+pona1k7lzxKrsmlP9myHDV3Ri3l9qy9F1QY98l6MFRHuToVy/4rjvSQEJuI6E3gtmzyIqrPRP9p8YqgXzJ1ZdHMEf/a+h7s7wGNa04CJPBaCYw9a2ZLsdvbR3p+Tb22rGG8tp2KeN3lYAU7S08hebUgNXs4dZ7Pwtbqob+eYZLVrNAzibjJk8StNAi50RocaR3HWhySYS4Cuojldp5yGJKea1N26Uly+Sl8fuoa92vXuX9Bg18s7y1/ofnlKzxRCwE0v3ztnCag80ECJEACJEACbxwBiuNv3CblCpEACZDAfhPIObcakXKEJRLu4QzvxHX8+rAevpmG+O2c8jfd4L4chvZtn8L97HGYXV7mkJ1EU8hTREPXuR0Xbo2mqPnNA/Q+cTfGxG5tL0sz2fIVbwnUW2fjywTHehM9DVhd1fUO+oJb/BqB/GaI4+U2vWZdl2aGKgjY+o0JrjMVWKJUPLoYtNCm5ImrOF4c5BKfYrmtteGhZn1PSoO5reOY5z3/xdTGCnX4l225+70ax9NEcWJf301KxoXvxs073851+JnusGsX33KZz3JpqjhejOgqdMuyl5xx7cVQGnnGQqwuwXdACqVXg4jl3sTyoUQDidheq46ad1wmaIJMfVAa3+9jLdeeBPaWwBjJVc/NF0nUs1c9p9UhJO5rKgxdGlnribyed8bpX3W2Ljlb5Xhsja12pK7nPnOme22LnypcOzRSe+PM66s22mct+S3y/JCQTrNLxy7gKVx+6oL7Y+jcj7uu+zGa7gM0+ABLPMZdaBwLo1j29hfAFScBEiCBN44AxfE3bpNyhUiABEhgfwiMrnARw4+xwBpvnZ+fvB/79PXhbPg+svtLN7hviUjus7vvcli6nA+cC8550dDlXnLKZFZxXARDjaSQ2AnJDpf3JdNZ7VdFpy2Zz6MrefQMmzA+ybpTpsZ0G+3Md1sE0N10jcsMuZMz2fR4zeKuZ/FLzMbzOO2rTvavU9ys6+5VcLXQDkvbrvfxu47x6gJ3GqPS9Y26xaXgpuaNi1g+SIyKRY7UnuijUCzbegSRtTDq+JgBGj+d8539pNSsXZzrJhRbxIo95hVEd0a68LOcR7rsfrmzxXTyGmhrcOY7nX5V9iz9etYqMhPFbRJ1Oc0prsU7JZu8BYYmIYaI2EjB2Kj5+bLfW0d+c/UrEn2thTp5Gbk/R1uuKQmQgB3mixO8HvN34rTq4Xl+zh7J6SFYhG2plGzHT6uNKQfv6bphPO7qELsCuRVJrie0C820cj7QSYs13L4dQ8tyRpsClpsOzSDCuX2TpbFXzy92Ps7JalDknDcOOPJwj51zn3jvfj/4+JN8p/kXLMIfVndWf0bAMxxqbrm4yyW7nO5y/lRIgARIgARuHQHe1dy6TcYFJgESIIH9JpBzXuFIO/o+QI9343rz7fVm+G7c9P8DHL4evH/ovL+72fR3nXMrq2Xo4CUbXG8aHVIA1iVzud7XasFDPStad2iNjdC4iersqhnTKo9KtcMtdXoucFsX6lqIccfCrTe6JQdDRMYrz8QXFduZFj5OXyZw2SR263DuDjULeXlNO1QRBlR4raJAjVWZkrDNs1zccNo2IY63Bu255YxrV/HoTSC/JG5EBd6S+V5FBnXWSS55ITfF0hQqkmcume8FrO4BpdCaKQmSGyvjVzn/aoQmlMy2kHQ2kIzwpuTPyxrNXOK143tSZ3oZr0gN29vZ1sskkNk86u5Wp1l3t5nEoqU+02BFOqVwbJsxtEBsJW5FRHIp2jlozwn5PUhIizTnSM67CCa2tUoG+WvaezhbEiABEngtBEZxvB6jpyNzzRHfziW36tJ1KOnNM2jx5KmBdqtNc96+OTrDp2FLc+V0fphFtk3n/SJ610LfO9Fr1tBZ4rKkp5WcTrSAtbjaPZos51Ypbm255dIby8zlWgD63K3w8YD4LOfhKDn3Z9+Gn4Su/cnysPk5Fs0H8HiGuzilu/y17KGcKQmQAAmQwCsQoDj+CtA4CgmQAAmQwBdDQAtnfoAF7mCFiLs4wjtn/eYb8Xz4wXLofoDovp5yeiem+DC7/AA+BxecqOGWo1xex2KEJQNcxL++G9A7qTdVPFXl5rW6vkSwrIJoFR+LPxeqW/pJHDQBvXrFq8A75Y2rdjmq8NUhNp2CLzq463dVQJ6ZfhX9JL7PYy7qVqnrMG2l7emZSHxxrl/MVq2C7iSO2yptF66sRThdFmk8IKigbfmqYWjQnAc0Q6POcbmplyKc42rp9ik572rQk6iR4vovwrYNP78Mmjdi1FiSmfi94xbMat2fnNrzTFn5XAupzQx/6sYrf2tXdl2uSQCvBT1HCWX03pkbfbYnlO1veeEaA1Myz3Vf0E1bJfZrtqjytt+I/B6GKpJLFnmIyI30mIiSYWOvms8+5YxnhGmf/iJ3HM6LBEiABF4ngdJgbk2p07l16zqhHIPnRTdrZQppsLWCyNZ7aDwLzY7b03l9VjNjXOf5eau01pbvpmmVgp9lWbdu+EXvdlYvxXLLpain9bqSeh0htxpX5rPV75DMcuuRVUR+dZgni2NJGsmSsstH3rvHCP6RC+5XQx7+W9u1P14drH6OAzwqYrm6y53TCy8+SIAESIAESOBGEaA4fqM2BxeGBEiABPabgMakfIgDHGon3Qc4x1fiaf+Xm9PND1Kfv+e9f68Lzf3gu8PN6XDP+7DwjYMToVFEPjdA/skrJC5ChD3NEZcICSs8aKKpuGI3JpoWJ+woLJbszuAau21VkbK4jLMI5jYdKWhosRPTzXEVdKfsFbuZvPi53LgWsbGMfpVAbg4v2y9G0Xt0s1/cXyZhfPcUvysEvz5xvAq9tl47ovjIw1xtKnxLsTG5edfCYg5tbODPPEJs9KZePtOb95nmb5nZGZa5PS8eKcMCUhRtu32gxKPYJkPM0faV8k/gFx1a43CkIKrp47VHQRW7jWsVx4vmr+uiXdhLFMtU0LKK6LXopUkomvEtDS5lnVQCmcWqqJtbF6g4z4vIoe75F+nUXp3lLkvpTuUkkUIpZMQwAK1kkptInkMs+fsypDxlj6Y4vt9Ha649CewrgXmU1kzeHl3elzVQzhuo5Xja7xSErm215QR04bpiYi1TClKQc7oqmG2I0mhbexuNx3k73dWaGjFP+rSr3ea0Tof00pK4lep21ysQ0cJr6ooK5s25RyvFP731oJIvVSiPA1JMw8FydTQMw1HsN09zxschNL88WK3+GUv/37HCH+HxEYBjvItTxrDs6++I600CJEACN4sAxfGbtT24NCRAAiSwVwRyVglzAWCJc9ztn559dXPa/yXO8cPhvP+bkMN7wYUHHv6ec+5uDVdWaS60mqcpIqYIdiJ+iyDuGgdIbrJ8VvLCJToiakSKRaZIP+GUNsUJazeyfsxVKTeFLugNYSkbaep7uRlVgVCEwx1xfJKw5ze4cqotmS2jU1nWwJy/9f72olRdRNYijlfRu564a6HF+Q5zURi/7jT/+tzjJvjXZasFI0vaTHHZ127pJowHhChZ4w7S7hEkW1wyx1UcF1G5ZI1XGLJqQbt/W8GxUTWvjmrJHBc3tDivbSR1cZeWCB1HN2ERvmsLxTwjPog4PBW7HHNoazf20TleC48Wc3ztoaD4593qTQivXd1VsChiuEasyHsVKMytOEbNaESPrZeNK+LGixxGiohi9sGyLlZ0VhuT5DckDUBtRBIXuTjKtWDnYKx0+/Ey8kVIcxgSIIE3h0A5cu6s0PTp5aJ1HVy+FeXazj/l7GPnoHIxYO2n5dg6FqWenSu03TdrI+927vgkwOu1yxjXVZetLFntFTc2RNt5xWZpPeBCEHPA1H5c23fYv5IAACAASURBVFv1u+ixHBbwvRMhHDlKPrktSeOCnpvykLSXl34u56+EI+R8nJGfDIgfYeX/1S+af+oW3U+bVfMhlniCcymfrkU++zdnb+GakAAJkAAJ3BYCvKu5LVuKy0kCJEACbwCBUkBTMsNXyHiIE7zXn8e/Wp+e/yDF+IOQ3Hse7q3g3f3s8mGSbrvehG15VeHOqjeq+Cn6oZMscSmqWc5oIphLR18TESfhdXQAl9tJc4priPLsJtLEULmplHmbaDh/1L8s3sOywyeNcGvoC+7uadxRxKyZ11u3yOWWdMx3tptOuRGu99LqbLa6k5c8phvk7S/np/wqjL+QivqZ73mj1lxuvmdpIMWNPQm96lITgbyXOBURx7N1+Y6NiuYiBgfY6/xuXnsFFHFbtot1bzcROfqEvt2YQ7oWLyv7VS3gKcB1/GJIH+/+d/aJLfF9K3rFFqc2BFjDhe0zUx7tpE7MP5viUQqg4toTgVz2a1nvRey0AKnWcSuNOKOwXkXrcZebizCyXqWgWwGvAkZ18Ws7jhWmHcKAoRkQu4i+tbgVyUrXRqHXs+t85vsiJ0gCJEACL0NgbBacHwNnHZHskmCqX3HxGkIaMJudBuJtobyezKqsPV5blIuAqen88msAO9/UM1Bt5J+GlWscbXud9UjTGLl6mTBGeZU5zepi1MZZiZ6rPZw0a65o/pP2bz297NRaDQPyPvQ54yznfDL0/TMEPHaN/2W76n60urP6MVb4DRwe4c6YWV6rV7/MZuKwJEACJEACJPBSBCiOvxQuDkwCJEACJPAyBHLOYj/q8AxLRNzBun/vbLP+RjxP34/H+I8htd9yDg+9wz3nsKqFMMWZLbEOWixQ4lEaiXgwoVJjUkS8y73lSGtXYekGXG5JqwF41i1Zbw315s5eVXxMtQKnCI6leKbeeJYinDPHsWVD292m/NMSkUWYrZ/rt6MgPhef613mzPmljqrp5nhe+HHiO6aUz3VZWwrNDLUI0IuPyz7cFcxfvzh+2ZJP9TRrDqplnjYxoBFxvAfcJmu+uBd+EqlSXdTq/LdtJI0jKvBKVMgoelfXNTD4iLgSsXeAVZm08eS9JZWIs3xbXLd2kHkLRZndXBAfs2htXpW6dTwfJZUSsTKpKTVnvAoNNuQUE1N7L1huuYnj3dCpg166suciTFRxPAgLbdspjQxlp5n2DG1uGY3rtvpFKanrKDFF4hRXgVzE8QG5s+Kd0lAlOeS2R89lmouK+dQkpL/U2WZ//SVhX+ZYxmFJgARIoB7FLvTO2RHHZ4UixnbEeh2hvXtSay38W/U/ynm5nI9qFZPdYfQqRcRta9u/8Ni+ApjVvhiH3L4eqKe/KYHFDAJVmJ/3cKpXQdJfTwfQ06bfaqCVr6TJWj63a62pXIWcr6yAdqNRaHZFpbnlmww8Tj49hcOfmkXzT03T/H++8z9b3ll+CI+nOFSxXDLLpdsfHyRAAiRAAiTwmRKgOP6Z4uTESIAESGC/CagY/jFWWGKFNd7GOb4az+K34tnw3dRv/gYRX3POP8zId3OLRUJeqKVIdEB1hhdBXFy/IogX52+NEDGXrjwS3FaOdOG+VWBxvi12bxfLLW7Jf55rdpNkV+46JwuWTrA6rSwWZPc0Or9T3b1r3bGZvUQkxc4i2HLsRmZfu+tddrp/fdZfW3ZbJukerlLtbHHkk6SFOBu7ie49mrWI4w7d4NHkBjlaNmottio32Cpqa6CO3J2XngbSqNJInrbF7mjvA43Z6UtmfAE38pwWZGoUqRLwFcxeJMdka9Sx7OY089n2q8U5tzfptA2l14I0zmjOeo2oUdde1qcWLhUBQuJoJKu9vDqpAqrx69K6UnbfWhhUONV0/NKrQmULydeXxoSmiuMRQ5uxkcgV3WjiIrfGJVuayX247W6cMtVt/61xN/t9zOTakwAJ3C4C1908X3qGGEeYNRXqsbuoy1urvz2FUaCeDVMN4aPr+zJ8157eL67B9icvcm0wL0c6a3Ydr8HmhUS3z3dqLBiCnpe0sGctCVLjwzQiDCfI7ijnfOTgHoW2+XXbLf6fRdf8Akv8Bgf4Iw5xDOCMmeW36/fDpSUBEiCBm0qA4vhN3TJcLhIgARK4BQRyFrUNS0DF8AfDJ8NXzo8339+cr3+4CsvviBiOmO+5hHs+48CLl8h7dYRrXIOXopZzUdyES3GHxzESY0ovqUi0xGWtVHgLOHERtwmomazY1Gp2ao2NMbmg5ObEAD80CH1As/H67FQUb0zcLYqs7C81X16LpGovA3tKhEqUzOyQEMM03JgRfgs3zm4sy9hhQdoEVBh32oDgY4DrncavaE67iOTSQiBdDmotWS1cKh0pZj3Xi/NPY1zUfS8C+YDcSqOVRNIk9IuMIZglcCx4qnErlqW/nXe7ncFv4o6U9XwREeYWbiAuMgmQAAmQwKUEpFE3pFYLbctlnJ77yznJcspL7YxyOslRevdh45w/8j48g88fnOPsX9pl84+re6v/1iybP6uz/A7OAGaWc7cjARIgARJ4NQIUx1+NG8ciARIggb0kUApornCMA3WGr/G1/uzse5vz9d8PQ/89h/CwaZr7ITR3zs7PDpzknWguuLPIiiD9gEu0iaZGWCa4xqSoSD7limtBzR1H7vafFNZu605Y495VIy03x1Omei0qGTRY3fUBofdo+watxKtE+1zFXe1xYM5mEXdFABdhHFKUVQXfmfO5DCci+m13LWufhVLYc9wHSp66T5KHb65x6b7uJJdcMtolr13yX6Woqea0W5d3+YlazwTJoDUXvzoShV+JlrHCpsl6dohQ3iTkFdCHweKOpEFLPpffLAZ1AzazgqSWwCsxAJZ1bo7Hahe8rXsxl5sESIAESOBlCdj5x2JV7AJQBHKrxWHXAXauqnEsUpBanlqTOlqhz7uLw9PUD8f9sHkWXXocmvC77rD7z83h4se4g98A+Lhklp/SWf6yW4jDkwAJkMB+EqA4vp/bnWtNAiRAAi9MIOfc4bEW0LyH0/4rJ+ebv0pn/Q/9Jn8/wL3vgn/bef9A3OMSZxFzRHQRoWusiGbJCjcBreRBZ6c3R5qhrKbSIo6XqAUrpDiVmxwzMXeWmvL4C2/GmzXgLBLGhN7y1O7UNTIkABsHJ47xQUTxBk2SIpwShl0mIAJuiBh8j0GczU3WrHrXuiLkVtFWCrpKLwV5lbx6ieW5vZdAGkOjIejzkqwW8yOtUSYumFPcZ+m+bgK5uO3TYNErAc4iV/R7y3Yfjdylwcp+l9uFabWgqeSNL5NmkccWmkM+BPndDxprgzSoOC5ChxjTVRgXOdx5xMJ96v1xs3ZNLg0JkAAJkMDnR8B6PpkwXntB6Xnf4lTGnPJSecTKm5bC0/IapHfUOdBIx0VNp5GG1xwj0pMB8VFGfITG/3O7an90cHjwYyxgzvK7mlkuMSy8dPz8Ni+nTAIkQAK3lsDtvTO8tci54CRAAiRwswnknKVS1AqnOMQa72yexr/YnKz/Jq2H/znk8M3WNe+EEO5v0vowqb3HChmKyO1bb5EWIaPP5io1R6+JlKKWaYFEuSnSoopWkGmMuNDQ4pJFXCysNdlbb5pm6Exw4+PWEij3p1OGu4m6lpMd4CUOpPfwG4kJaRCiRIJIV+wijIuTTLLDtWCkFY1MEvshe29T4kBKz4SsvRAsxsNe5XF7L4FMHJefiji6pZamrFPpkaFyg2SLmwAhHj35Jz9VSTyRpxN2Q1RxvI0tQt+gia259Qoadd1L1IpE1hSnuvxe9TfrMmKzUeZDBwxtwqaVXHIprDbASeNYTvApq5HfhHER1T2i9CKpWfMajcQHCZAACZDAfhGo519pidWzl7nHS2a5NvLWehq1mLUWpDbxvHUtpJOSOsqj5JZbTli9Tmx8c5KG+CwN8RNkfNy27c+Xi9U/4tD/BPfwe9zHRwDoKt+vnY5rSwIkQALXEri9d4bcsCRAAiRAAp8Jga2olLx+a308fLPv4/fOj87/g0/Nvws5vOsRHvjs77vsgndeBe4YooqTvkSmmPBoeeEmhJtLN5ZIBs2FHovwmTiurqHqIp4V6JNJSsSDiWjmKq5yptwYyZ8W0cDHbSRQtqDq07WUowq50t06BrQSCSLOsCEgbLxmZ4vDWQtKahSI7AAm3kqhSBNpxcWcVCDXxhiN+JCdpwaF6F5TnlNB0NvJT9ujVBSXNdlN79Y0IyfVRyUS3PK+ha158yxSZTg/14iaMLRo+hbd0GkRz1pxVox9SRzipQdHFcZ1evpj7JV732X0XcJmIYU6o8bcwA1wuQjk9mMt4rjbEcdvI30uMwmQAAmQwKciIIaKWeOo5YzX03NxkZervosFqp12mjJnuVw32IWEdnKSZ3TIfULI0izsy2c4QsInDu5xH+Kv/MPwv+Mg/GrRLn6NBR6VCJZz59zwqdaLI5MACZAACdxaAhTHb+2m44KTAAmQwKsT0KiUpzgE8GA4wVc36/Pv+2H4IVL6W5fylz1wfxiGuxF5IQ5SSbGQ6OIUJK7C8pxD05hjdX6DUyytokdKZrEK5lncpHbXU1/ViVpFy5KZUoVuHVe1z8vEcbuBsvziKQXi1UlwzNdBoCRQ66zFUSw51JpDmixTvI0N3GlEJ8U4h6CibZbiXbLjea96t4wV0asgG9uIYZkQu6g52JJBbg0xUza3FHDdvei5rY0r6qgbxXHRnm1NiulO1zv4gFxyWnMpcKZCgjNxPPcDQpRCnS3CJqhAro0QGq8iBTXrdC3rVV19Es8yPiTfPWHTRGzaQcXx2FnjhAsJKfW6jaTgqi5byRyvhVitoC4fJEACJEACe0WgdAe0Xk+lH5f2DBydEmP9CwtekUfpGVWuG+XsjyTXn3Zuqj2lVA6Xa4VB/BkijJfvtCdVEdPhzxs0x8juSXL5zzm4n4fO/bM/8D/BEr9Usfwujp1z673aLlxZEiABEthzAhTH93wH4OqTAAnsB4GccwNgiWPNDn+Ic7x38mT9D+j9D+OQvo/cf8nl+NAhrSSOUdyiYjxVB648G4ck2cKlyKGKmjGr0Ka3LSJwZhPRRJCzk0u56dGbme3TzZQpbr7huahX88Xtdqg8Z87xOjDF8du7787FcSvQKOK4xamIMN4NAfl4wELiVGTHKwU4s/RakMKuWtdVyj8WcXyREJdZ3eO977HJPSDFX7XngTWoaA+Ekm9e78FvtTw7i021ZoBJJK+/R9tDTBCwCqXlkwR0roGX4pyDFD318H2AH0pOefRonESzmEO/VM2dTPjjjzMj+gF9G9EvBnPuL5Jmvw+5L65zaxirEkc9FtRlvr17MZecBEiABEjgpQmoBm7F2Oul4nSFWKTwWhNEzz9lsLFBVRpvU4kbtwAWOcvJ+co6Uzm0vh1zzUU4l0KeOVphz6YPWJ53CLGx06LL6xTyMzR4hBa/zCH/4/L+8v9Egw+wxCc4xEnJKo8vva4cgQRIgARI4NYQoDh+azYVF5QESIAEXo5AznmJZzhAxn2c4mvptP9+XMe/TUP8axfxJde7t5zzD6LPnZhFo7g9pbCeZIQ3SQsb5jFWIUkZPhW5fFHYpKTfXPSefLkW41CFORXtRpm7qGoatSLTK+K4fF9MQ5N7aHt9L56wKK+93B5xc4YeizGq7ipbvEFwHby4xNeAP89YDA3aIWj8jlXXFH23iOMBGOIGaKRvA1QUF/dyLxErUqBT9q2yw1gciEXzyGt9VGf5zaHyEktSfivT6swD+adPpziimuU6azCIkkwuHnJz7Ut+qwrlG6fRNs1gBVDH3+Nu7U+LeJU+7BjErT+Lthm6hNwBG2m8yFF7kcjRQoqAat65NKRJt/qXWGUOSgIkQAIk8IYQmF3Qvex5wM7lVvB5/jDDxOzDsXfh9KnMth06LE8XaPtGh46lB2Tp49gnpGN4fOK8/9g14b93XfOPi27xr1jgD8VVfuKcBL/xQQIkQAIk8CYRoDj+Jm1NrgsJkMBeE8hZAplxgBMcIOH++sn6e75P/y73+J/SJv1NHtK7khvu4VZeBEntbSrOcBHG5ZkxhKQieZR8cCmsqQK2ltODlwJ7eS6Oi+PXHpPzey6KT++rcG7FluSpwZDFXV4zxGVKk8v8+humMZxyr7f5bV15c3BXR5iI1w0COnUwh7VD2EDd4xKxYt0VqtLtSrRPRsxrZHEqdxlJMq+bXsVx2Xej7F9iltYb6Nqd2gRyjewp+fgve1N+Y3jXrPb5VdyYS5S3Mvo1dt06pY8OPM13TRaxMnbqELE7upLz3iCsG7Sx06Kd9iMva18ViVnxTlHWU5D8d8l+t+KcwyKjLw0V0hNFxfGcIe1u8iidAW4MUi4ICZAACZDA509gV3zQU8tLxORpPIrU0JhZz00Yt7o2Nby8nuftGnW6Zmxig3az0MZf82eUE6oMIj0fS0yL1Yp35y67x41rPm6b8G8+hP8Xi/xTvBN+CjCr/PPfWzgHEiABEvjiCFAc/+JYc04kQAIk8JkTyDkv8AyHyHiADb6ajvsfrs/W/2tc938ZvH8bKd9PKd/NDkGiFpz38E1AajL61rKZ5UbC8r9rDnjRwrR/6qSJ1fuQSVysBTZrVsXk2hl1unGNZ51mZ/EWNq16Y2RhG5YmvX2ztC1ianrxbMk+c6yc4OdMwMRxSxN1yYptims89PL0aMS9PHgtqDW6xkuHhCixP9LLodkgN+JQzhiahKEZ0PsBkpGv2fZl5xJXtM5nNFfbvnPbnePSl2P3YZ+UX9G2gU5/aGPTkwoLIlcLXotR0uOAuMmHoM46f2o55CKQjwkuug2k0KkMLgVSyxJkaeiKKpAPbVZxvF9CX6Oo4T7DpUHF8VCOK9FJkc7PeUfj5EmABEiABG4UgXr+rwu1HZFnJ6qta8gLrdhyBVh7Lu5cC0ok4FhfZDxBTTF/pUZ18mLuKCK7nqK8+jWaZLVPgkaOofSokl5VMsewcdmdxgbPztrhw7TwPzlcrf7L4qD9KRr8Ghmf4AFOnXObGwWcC0MCJEACJPBCBHhb8kKYOBAJkAAJ3BwCOecVjnEHR3gH5/j65hz/42a9/l9yjH/hkL8agnvLi66o7uySJSH5y5atqKKgOMQlhkIiVMQXak6cOnhJB5Y7Fr1JMSlaCyfWOIcyHe2sOnZlLTcpM4eOatzzxIfx7zq/uRB+uTi+dV80qXHmPObjVhIwF7PFesiNqBucZV6vHdrYmjAeqzPMnMsi4Nb9V0TYvJQojwFq/hJx3A8apyLDjLqxtujIdGaYRAgu7vFbCa8stMTR7DZC2XpuhxjVgeZ9OqTBQcRtwRNF7JYCphC53UFddVKkc92g2UixTskmF5d56W2i4nYtolq6ticJe40qgosY3rcJ64VkwEuR1ITkZZwBPkcVx6Uxbqju99u8EbjsJEACJEACL0Vgahw3EXzbDGFntdGMsXOZZ23e0rA6M1zM5z42AlsPqqnWhU1IPos+YyPXDtIgXFzo0sNMeknVpx+ARhrtpYeVCOXas8o6PSaZRvASx7JJKT1KOX8SWv+zbtH9p9XB6kcavyJZ5XdwCqhYzovVl9pDODAJkAAJvB4CFMdfD3fOlQRIgARemEAppnmIM9zrT/Dl86cnf53P8g+70/bv2ti9nwPuIeBubrCQSIkePaLr4RcS9JuQRZjyIkhJ1q+JYOKsjeKckRuMnZuJXJydTjOBrWhS7WVqtY7kMxPHpiv+eoszubqrdFcLIdYbE71dKTct9Zah3LaY6FZueuaeHxM75/cXU3TEC4PkgDeIgOwDHkGyxgenbvGwtqKQTWzR5AZ5kD3MYj9kn9O9Vh3OUFE8HkoxzkGdzyK+Dm7YcYNLTvkU02M33KXbdS0QedtvWetV3I5LfLy4q6rDzpa3xgn5/WckZWJPEQpMHGjQpRZu4+HOvbrJ9XMV1c1xJzqB/H5Dst+zVkLTyYqLP6FfpCKOS0FfK54q1jwdU1zj7Ptxg36PXBQSIAES+GIImDg+du7aKshel+AycXwSLczJIf9Kn8fZud4uWE0Ur/Vv6nVAnYI0om+0F5RzU+O59WazRnkp3imxY1qTQ+LHRBEXUV4Kekrc26mU5Wm0oVeeCXkTU3yakB5HFx/lkH/Srhb/1/Lu8r+2q/Z3OMQz59zZF0OYcyEBEiABEngVAhTHX4UaxyEBEiCBz5mAxqU8xQGAh8PR8I3+rP/bvo//EIf4baT8pZDCO/fau/fykFyfBwwaaQDkNiO3ksssmeEiSEWk4goV64vXCBWVqdVRm0quwehBLWp1LV9k0ROTQK4a2CjIqee8kDBH+uQzNzF7dAgV8a46htX9Uxy8k+5tNzBTYU+btM1vSyrXz6e8yc95Y3DynwMB2ajiypIID4lR8WhEhBVxPLUas5JUQ3WWqqINMibgyj48tD36OxtsJFpFvxfpvMqt85viaR81EVjEYNtPaxb557Byn/sk7Vd3mbI/+eSmIbYv9aaGqPr7qg1b5qiXn6V0MW9dCz84uHXZLn1jeeRi1YfHIDwh7jpvrrq6OLWxQqJVmogkDnJpzBCnnpcGjGjHip2Gi88dGmdAAiRAAiTw2gk8Vxy/IlZl6v0kV6WlZ2RdG7kQGIPD5g3j8+sBG1ikbKeZKcWlvkXExO56bavFo+VZZi7ieStOlLWcHz1yTIgx6TAioocQIMaS0/PTY3j3cfb5D75tftQs2/+7XXY/X91r/4AVjoqjvH/tG4MLQAIkQAIkMBKgOM6dgQRIgARuCIGc8wGOcIAN3o0J3376yZP/6FL+Bz/4b7iIhwH+QXDNIrigmcsn+RipTXoxHlq5IPfmCE8RMUe4IB5NEQStnqEK3mLELfEILllqsVzUm5BmsSlVVLtwgihfVglbCnRWUb2K5jVmpU5Pb0TqTUuJuNDvVOwUoawIcvbhVkHOabPMhfEpSKIK7Tdk83ExXoqA7IgW16HC+NqhWwe0fYOQ2zFnXPYOqQdpudji8spoPDB0PU4PT7Fu1xYXpPtiufEV95c6vawQp/VykJ4SJoyLSC77jjmeb+dlkDUhjR3SZwH9EoU0SefjL2f2uy7qQLmZnxiYk2/WA8Q5dYqLa7zZNGjWLdp1i9B3Oj+LYxEh3abh7CBT2t2k0G9EHwbETop0DuryH6Rgp+TCQwp0zguqvdTOw4FJgARIgARuKQETx80GMc8bn19/TqtWY/4mK0atGbKTTF6vAMpF7LyheH6eLyepK879eu0gjedy3VCF8fJaXeLS5y0NGY1rINfj8i/3WXu7pU0CYsayXejiiQM9xnSac37ivfvEef8n1+Yfrd45/D+wxK8AfIy7OHbOrW/p5uRikwAJkMAbQ+B23hW+Mfi5IiRAAvtMIGetiHeAU9zBGu+sN/Hb/Xr9w82m/w9pM3w7uPC2z3iIhKYKSdLNU4SoPvTI9xPWbm3itgrc2iFUkeoNh3wmF/oaj2LF72Qo9XtmEaeqwFbuJao0Vh0y2sV0EhzlnQnS6jmHieNT0c7xJqfklOtyFIf6tvAtgqXkR5s4bvMo/1/qJp2LgNX3etENtM/70utY97pvjN6rrQ+2Hcy2L1QNVyJxpLNyZzEqxTXe9QFtbKwxRZ8a72mNOyKOhwjIU/LFux5nyzP0jRivJge1dTJw2h3adk3bT2TfF1HcMsuN1hspjhfH21Y/i5kLb97zo8Ynacdx6T6uI5VCpVmccCZgt9J5XBotziWHXEqSmbO/creGCMti3cp3DcDge/TiGheBfBm1CLAcuxLic8Tx3aTYy1zyr2Ov5zxJgARIgAQ+DYFqsKjTuLIRt1wb2nl9Lo4Xg8UVC3G1uDGZK/QaQyvuXHzIFXMq5hG9iqgF60czifRoM6e6Jr1FK+wpBcRbEcyzx7AeNK9cv9cLEJuPnG+TT0/W7vyPvnW/6LruPzXLxY+aRfN7LPAx7uAEwLlzxTnyaUBzXBIgARIggZciQHH8pXBxYBIgARL4dARy1ivyFU5wF8/wHZzh7zfnZ3+/jv33gPwuHB5k5HsShuLFIlvyltXxLRfjXr026qTt/UYjU65/TC5Svb+YHfUvFLTccZfWGxKb/jRinWIt/jf/+qKENcrrs8U0J+92ZmT9eqbkzVfssnpGt9T1++n2oJsx9vbFQ43UmZbNHNkmcNf9w+J57ClxKsu0gjtz8GcezdCgTY3eYGqTivPIPeClkKwUv0pA364RpQjnwcacyM4Kas12zZ0b6N2ltBvqaU+7Yl+7GYivXYrtX/XWD2X848Jvcdc9bkeSLXzl6KIit7rBSwZ5k6VIqhVOzb1lxHdDp8VUx41cC6SVVrgkjXMN1D0usSrDckBaJfTNGkPu1Zk3tphcOMZs96u3mKctyX/rmHQLNhkXkQRIgARI4Ioj99b5arvlfYvZThv85TyvbEudXZDsnHN2J3T1Odauh8e087FHZT1nWiOx1ktJJpqrMB5La7/0WpOC4xvrmeWce5ZdfpRc/ii0/r+2y/a/YBV+jgV+hYjHeBcnLOjJnw0JkAAJfDEEKI5/MZw5FxIggT0mkLPkROAA57iP0+H9o6Ozv85n/f+2Sgd/h3X+ypDivYTYQYRAyQ0PWeNQXOP0vbpdSySEGl206J0kLkpxTToq93jXem2rfpk4XvfFKqyKOF5jS6bsetufmxSw6lcIZw38ebDojixZ1pYfLreWUrdRe0Ika9SRCJX+cIPN4blmjlvdWF7GvPJOMOrPu6Kz3dyLg7+K43KD71JQB1weEpq+xfJ8gSbKNiuF0aThTrumlCJo0kElAFokuB0QFyaQa148NhqRM/arH4WKWT+SWUU2iuOvvJU5IgmQAAmQwGdOoPReHKe73fCu1zClfod5QexaRnvNSZycxMgl6SkHdannJNfz+P/Ze/MnSZLzOvC5e0RkHX3MDDCDUxAvUBJBcgVREAiQuyIlHiZKuyYzra3Zmu3/t79Iq901kquDJMQlYlljqgAAIABJREFUKYCUeIorihBF8AAGIAZz9VGVGRHuvva+zz0isiqru6uqp6uq68u27KzKivO5R4T7+973vqPQuPdc47+5ycN/7vabX18dHPwOXsE3i0/5sXPOfMqfe1vaBg0BQ8AQUARsVmk9wRAwBAyBDwABIcTfwyEcPhQfxr8Rj4bP5T79uBvzp3z2b2Tg/ga9E+Wrd1LAxwWIT7j6KyshXgsIajHCWaGr9hBKStnLEHjRCJybHC+q8ZotwKKO+z3J8QC/aRCipiKrZzWLZTlkIcd1ghlDxrDqMRz02OwfYwycHxYS9kWf/Mu0vzMJclXB0U+cxLiS4/rJdqE3fHvUCjlO+5U57VyXqynkEuNglksziBUOleMjfw4nC3PWIenJDJVlyTS7171MXc/OxRAwBAyBm4vAkhzfDjDPhefnIDOfpRJ2zrR5c2A5UL6Y/OnHLG/Hz8S3QxOaIzi8n5DfQvBf8137m+3e3u+Fu/gqEr6DV8Wn/GmpozcXXjtyQ8AQMASuAAEjx68AdNulIWAIvJwI5JxXeIBDAB9CP35i83DzI9jkHxs3+TNuyB9xyd0PrkHrW8SQcNxtpKAmC+h5+oK7LBbhtXBmSiSQFiR4IcPV21u9k40uejn70nU/q922KnPKcrVVUReTYtZRi8JSOR5brI5XCCTG+wYkyzkhFO98KRrLH6tPp0MMEXE/YtjfYLN3hMEPxZvchjGX7itbBPnchmJ7UpRv4p0qNiv8VBuc5nFAM4ZS84AxvqCqOKmgWlxQHBBdRqTXeDsgriJSGxHpQ87CnGKrurReOqs9l7Yqlz5j24AhYAgYAoaAIXAJBCo5vivzSsc9Mg7iM7PalJWaPQwYjx2T45LUPpFSKtHDjyyr4kBtuIgFRpYHYv0PkDp/NzTtt30b/tC14ddWr7W/g4BvAXiPOalW0PMSTWmrGgKGgCFQELBZpXUFQ8AQMAQugUDOeQ8PcQc9Xsfx8d8cN8Nn0cfPpz59Ko/5w96F1+CChw9gWc3sHCIcBk+bgQGxSWodQeI7JySqMKVGUCWDymcxANdheDEZoLrWEoAu0Xq26kUReJrnOCM3WlKRE8Rtgpy/tWOL9qhDu6GXNclxEqtKjosPNjMocgZ9q8UnvMsYSY6vNlh3xxgdyfGyzkVP4tavt3BvrYGLZXHTUmiTijchvUuhU7FaITl+1IgdTk7qpaoK85IBIJVUFWAWU2UwcGh6KcyZu4TUJQxhg7hVc+xkmvqygYwcv/Xd1QAwBAwBQ+DaILAcBZ1VbacQ5JUoL6MiBoWjH+TZKM9OKU9NgUDJ0IoOuc9oWOATHB85iEZ8zMgxb3LGO65p33at/0u/ar7SdPhdHOCP0eIt3BdFuVmvXJt+YgdiCBgCNwkBI8dvUmvZsRoChsC1QKAQ4od9jzfCGt87rPvPpn7zhRzj9/kxfcjH/Apy8l3XiSt4pACT3rutRxYf8YAUMtb5mIySnpN8KKNEwabYSqSoSlpSjEKYaxmguniGN3L8WvSI23cQ8+Bh7o8T1SpsuMqRZ4J820u6jS3aRx0akuMpyKSQ5Kt0d9qqBFdqWI3iu59XWYpx9l2PdXOM6KMU9aye5revBS5/xto2JdS2gxyvdxzy17S38a6qxx38GNBtOvjBCznuqHZLXnzjtV1YgKyIwsVaRe1UGBR0KyDtJWyatajHt+9su4alp5V5lz9724IhYAgYAoaAIXBRBLZKg+7cyDTqqfUzJg49USIuQgDGlqW6Ssm8YiCadTs618JFL0pytVyRoRGCWJ0FjGvOE/yQvXsHTXord/gqVvgNvx/+0HXNX3Qd3sJdKea5vugZ2nqGgCFgCNw2BIwcv20tbudrCBgCF0JACPFHuIseb+C4/1tpgx86fpx/wkX3qZTSqzmP9ykOJ4ntGxbWTBjSgBQS0DqkBmC9wUSSKEdEVhOsjHepSydD5OmuzGp2hRgvn1WKOQ/JjRy/UGPaSs8FgWWgphKtk0P0CYJcLTm4lBKs7dghPGjQ9a0qjlEIVXZ7UY4roRpd1GtoDxhXA/pmg03YyHVk5PjFm3ERqlB6/ExyvDrdkBzXNuTtiIrxVdxTcnxMwOjEGofe8Sy2OpHjPEQpMgwpwsmgRu4A7Ges22MM4h1fnVVqj1qelxHjF29lW9MQMAQMAUPgKhHYftbORyJjfUmIKmKCqYZKtWMBgqOiXAPTOSakGKkcF9J8Px/AjR5Jvhf/ld45vOuCex8Bb+7d7b6MgP+ElfvP2G+/gbt4aNYrV9kTbN+GgCFwExAwcvwmtJIdoyFgCFwJAjnnDu+Lh/hr4xG+Nx33X0ib8Yupj9+TIz7kXfuqaLnJBAUAJL9DFjIvUdm68ogYMWBQks/F4iGeZLBLL0IqROprIr1JnKuWZOaNJruDaqRCkupJNgRXApnt9DYhoH4pk3q7zvWUbF2kGVPpxH+loCOVUe2wQvMgoBlIjuvflz7VvJ5IpNJbnB7V2AeGtkcfegy+FzKX6ilTjl+sw6lLk4Y0tLCvNOQiL0W3S2sbLbbphByvhQ589NjLe8DgyHrDDfRNbaRAp2YCOGQq3bgq741inzpidCM8M2j2E45WR1KoU/Yj+18W39Rd6WGdTlm/2FnbWoaAIWAIGAKGwAtGYCl6KWMmKTjObCw1n9t63tZnbn0G8zmsz2IghIAGLfKaxTx9sVzJ8HwOi72Zbm2M43u5wVtp5f6s2Q+/6g/b32r2Vl/DPbwFiEe5Wa+84G5guzMEDIHrj4CR49e/jewIDQFD4AUikHNu8QB3hRB/MH5f2gw/PK7Hz6cx/w2X3UcdwisOLox5hO9IhjPP0SvPXdSu/BRPQSRkjlaFKCyWKUIDpVKicEFuTxYUZ53sLk9Dq8j5AruG7eokAgtyvJKtSmhWclwnc1JjUwhTTuoaVRlvArqjFbqxlb8Lya21aXWSGDJ612vxxlVE3kvoGxLj9OmMcJ7enIWstZY5NwJLcryS4mcR5PPG52AdAx0kwpvcwsegE/WNR5tbNInfFVsVriwxQOkEWoDTA327QX9vwNgOckeMibUW6CelJHlMsZDyuvfSrc59nraCIWAIGAKGgCHw4hGYU0Ln0XsRFIgHOdNJZ0nB9JzTEVA5XK21UcmaQqFLdl0OOv4nQd5GFslmgWwv2VxUlscxwvtA/U0akR9En7+dO//1plv9UrPvf2d10HwVGe/iFVGU84ltL0PAEDAEbj0CRo7f+i5gABgChkDOpLZxB8e4j/fG714/fvzF8Wj4wsqvviel9HqM6X6G20MIYGHN7D0iRRcdiboR2Tt5k6tL9NcVBaZaFcxWKFk4choH+KKErMrIk+TTk3SSywKcNFVZ1M+zhjQEXhwCpY9zh7RFUQV3mbrxb04DQ6KAIh+agthukDh1lRw/XgnBKux4DQ5VC36f0fseYzci7g3iUU0LjpHXG68hX5XmNoy5SKNvkeMK/iTc36UgP7kPKdCZHNrcicWK23ghx5vYqno8026lBDskhpGRpb4CO4MTe5z+fo++1SwAUcaVLsRlE8nyGikpO18mI1zknG0dQ8AQMAQMAUPgxSBQyfGakTU/yNRmjplvHMVvP38nczF54NWx0VyeiI9JZqEO9Cx3GYHFPEeHlgKEMUwFzvPApK0Gmex4AlISw7oYQngrtPj6ODz6k9Ve9xvt/f3/gKb9Oj6EB4B4lGvqqr0MAUPAELiFCNis8hY2up2yIWAIKAI55zs4wr3jR/ju4fHms+g3Px76/JmQ88dDxqs5UedImxSH3HjExiPxk7+zkJxbI7tRi2cKuaTD2vrezqQspQm3mO95ULxsk0qAnyTPq+akLqsku1kOWH++AgSEANeJm5LjTA9m/9fvlRxXMRIngp7EOItwplasOMKmQbfu0MSAVDIpmH5RCVBug5YbLMA5HgyIqxExjIilyiPJ8eI+dAUnf/N3uYscl3viZHFy2mJl+6w16MECnCyuSmKcbdoMDIA0WqBT0ru1T1AVniWTRvcytAPW99YYul4YdN5npT8VIp3kOBXm2n/qpw1Zb37PszMwBAwBQ+AlQGDLOk6eVDtOagdB7lQoE9L8fKzCGskv5XyibIlbZExZrOfElk5/58xkDAOin23P9FnJcRGXoxhB3yTMvSjKnQgT+GwOmaWQ0gYuvpec+6uxwx+5VfgNf7j/lfYO/gx38MD8yV+CPmqnYAgYAudGwGYa54bMVjAEDIGbjEDOeR+PcAcDPrJ+GD+bNulz49B/Pg3jJ1zKrwfvusCimhSmUsHIT/ESB8aGPsgZURSOET4PYDZiJa3FGaIqXwstVMlBfnKAuyR7tgrYVzsJXWJKpJyo7xN/lyWMHL/JXfFmHzuvDSrD6UWdCjleOjSLZZIcp7pJQkaZvphKojaxgx8C3Npj1XcISZVTWZhuTupUwsyPoenRr3qMh1SQDxjDiJSzFu8sxkQWGrpYN6oGKTq/X1QE3kmQn9yHos6gBsnxLnUImxbNpkHoqVwL8CTHa82EabJf9pNpq9IrOb7iPdSpBZVEWsp9dyLHlUiYXFlPp9tcDABbyxAwBAwBQ8AQuAgCi8y5yWysju9PbW/OItUnp8pfSFBzDF8c5STzdCbGi8VYCTCr0lwz9Kq1Cu3lVL4zW5dprRddlqKFEDVjr2U21+g1y2t0YnvWCBOfMebI9yYFvO1a/zW/538JXfitg3ur/wrgbdzDI+dcfxGYbB1DwBAwBG4aAkaO37QWs+M1BAyBcyOQcz4ohPgb/VH/N48fH/9oXsfP7Q3uU03yb+TgD8QnvHEYQ8YohQAjfNeARJ9INUgF0Seg6MP5dSdMDklCWqnQUkV/lkHudJQ6EKbKW9QfRfkhWxTSqNyGF+vod89yezbl+Lk7g63wfBA4RY4H6d/Sr8ukjZ+8Evg9izW24wotyfENbTgcuqHTdcpEU4hxqqnKdyTHh/0Bw6Hab7BAp8wDqUyWQriFUH0+Z3SrtjJ5mOpcesd0fi6SWf9YJ/YyvWfwAxEhB3Rphbbv0KypIA8Ig07Ma0Hh2V6qBgedtOfx3WMM3QAflBxPDJAUclz3UfxWq3J8qtj5LPfGW9WcdrKGgCFgCBgCLwqBiRznaH3yAzvxKK3PKX2OLW0Wl57iJZlqKsw5Zc/JGIdZVV4/5Wf9FOV5mU+oLUupbySFW9SSLMekZHrm2MwjuEZ+5hiLNndpw8wvmrJwXkLDlQjEyPXeT4hvJ4xvtoerf9/dOfi1cGf1R7iPtwFRlJvtyovqZ7YfQ8AQeOEI2AzjhUNuOzQEDIEXgUDOeQ8PcYgebxw/PP7h9aP1j8U4fCYgfLwJ7Uf2QvNq6Eca8SHSJ5zFNFuHsXWIbZbfR4yqjiWjTeKGReJAj7+a5qgKViHHhdjhzzoI5uBUyB7+zIFnsQeon6IOX6RPChk0AbN9a55/W35fBtwvAkzbhyFwEoEzyHEuFl2UoFIUyyG1VaEPdTeu0JAQF3LcYxVb+ZsEoIrCXAjyqIQ5izWSHN8cqP1GlDmZQ6BvOddj1obN0y7UNydyfLn2Uoa/FawrC03fqW1OwkitP7q4p21LcnytBcFCZgBD72rVU1VscwrBPbQ9Hh88RtqPcDvIcRWLz8G/4riiTL6pxy/U5raSIWAIGAKGwHNAQMhx5YgrOa51V6oN2Al6ZaE0L4lQMm/Q5ZkNp+txqiESg7KQ6gVY46jMMwpJzn11KZAHL5lfzL5jEevyzFw8O2uCqXcezvlSAJ2k+L4U7nQxw40JzZgRYhZVuYh4gsOY4rvrFL8+uvgnfr/9cnuw/5t3Prz3p9gXf3Iqyo0ofw7dyTZhCBgC1wcBI8evT1vYkRgChsAlEcg5d3iAO3B4PW7ipx++8/5PuOR/JOTwyYDwYZfd/RyzSzFhpCXKHv3EI3wT4BtfimpmREkzHOGk5t+s+ND6cEp08//ovA6PS3qkqMNFhUGenOR4sR+YPMkXqnLxHVyW19w++aWapAyh56KFlXSSAbe9DIErQOCp5HhckOMs1KjkeCvkeAO35uSukuMLb3LWxl2Q4/QbXx+upYAjSXTH8lNjK37XOWhasb3Oj8ApcrzO2E9sasv6aVk4TAIgoyj/hRwfluQ4J95L6xsNapDUdiINV8uco8PHGPdGufeeVI7PKrtqWrUgHYwcP3+D2xqGgCFgCBgCzweBSo7LZEAtxFSlLXR3NRQr+yrj9MV4XTJMlRIvJopqH1Zy72S9pfO4UN6lrlFN9eITVn0cnRDesi2ZpNTPknlVK4lk0Z2XgDVrvbQAGpbz1KKeEXAjkIdEZRBSn9D6Bk1oGASn0uftnPO3U0rf6H3/lXsfvfdv0eAvMOId94Z79HyAta0YAoaAIXC1CBg5frX4294NAUPgkgjkTEdwHGKNV3CMv3Z8dPx318ebf5D6+Ongw0cQMwlxYbGDDwghoA0NUpvRrwaMfkBKkcU5p4GsDjCF8dZhJX0BOeRUXkd+F6fxrlMCnKQ4t1+UH+olqJvTtEi1UJksVyaSvfqGn3Y2OE2Ol8Hvgg1XOwp7GQJXgMBWQc6wVXxRfDClb3K2pX2bhaHasUPbr+CPVWHcZk661B5FLjmxVPFKfNNznMU4qRw/XGPT9Mie08mAZuyQU5LAlpHjF2v73YO/LT8o3XBZcGmpouLvJPY5DASy0GoXSY430q6hb8F/urJ608udqvimMsWb5Pjj/aIcb4qtCu+qxVZFLVXkDlo8VLfJgnJzvdjJ21qGgCFgCBgChsBFESjK7PqUmshxHfTv3upivE5ZDBXhasrC/5fPO5LYNShcVeR1k0WdvtyD7E+JdiXbg5Dk4zgwmVWz96Smh2a+Ul0u+/ctUrGy45jLu4BGyPIgdmkYaLWCiShXh0mHwIlQg7cf4/hP/J77/dVq/1f39vf+EAf4Ju6Imvz4orDaeoaAIWAIXDUCRo5fdQvY/g0BQ+BCCOScD/EOXsUanxqO0uc3/fq/TzF9P3z+cMrptYzUeo4MPUltJ6n7Vfmt48GEoRnUqmHnnfDJtPOs5JhXr6n/yyL2ap8y0zzb4+YTyvEzdvmkG7WR4xfqPrbSpREoESDxvaTRkF5TM6npEITpZFHbqB6ZLAzVr7B3dICwbqQYZ6FPZX2nFamUDw3AutlgPBixOdiANhzcPtdoxlamgNGr7ZG9LobAsw4Az7rHaABPp/dtDmiHVgjy5nglbcRgh9jj+BGZEUPxi9csgjFEPN57jEhblXa24iHbHhlUkZcS49I3plNcHo1ZrFys5W0tQ8AQMAQMgUshsBzoT4Uyn77F+Qmmc4Pt+cKSJNdtPf05fTIPrP6+taeFcWNRm9PLvKrcl8VEOaYrSngGsjku008gxyzCBB8ZBBcafZ09vpNd/pYL+N1w0P5ae9j+PvbxDdwVf/Lh6YjYEoaAIWAIXB8Enn7PvT7HakdiCBgCtxyBnPMKD3EXQ/8RDN33xnfjz6Uhf26IwycT0qsuuJZk+ORFTG7OZ3mr14kWkuOLpFr0STzC7WUIGAIXQECsgTi5IzmepWCmkuM6mWpSi5wTYtBCtiRGu34P+48O1Z+6pCFzHRmMSMbvkhzvMRzQc7zHOJHjqlQmb1oLf17gyG2VSyJQlXKSz+2TFPZqhoDmuMHqeB9h6NRDihkAoZLj2gdIjvPeW8lxisy1LaOQ6Cz0WXNi1KO8DFUntV5V1ckN/ZJnYqsbAoaAIWAIGAK3DQFVmutLLVjqSwPfaoOm4zTxgSljNAg5zoLqzAiUsRgz+VJ64L37tm+br/rg/9/ubvfrOMSbSCJjoqK8Rr1vG9B2voaAIXCDELBZxQ1qLDtUQ+A2IpAz5ae4i/fxGkZ8b3qU/v7mYf8/9Jv+kz74D8Hhvlg3BCdq00qAs1ycb5i6qGpW/aRKvFilMN2fxLkZk9zGbmXn/DwQmMhxXqLYJsdJguZtcpxK8SU5Lh6dpWDjTI4X7yJRjpMcV+V4Jce5HMlVdWEhoWrBrefRlOfdRiXHGfxgwWIhx3uS4y264z2xvpnJcdqlaFCSE+2JHN9X5TgakuPjFOxQS56aVWPk+HnbxpY3BAwBQ8AQMASejMCzkOPVS13V5NVfnU/zgXWbnIePDmH0CIOH64EQ3eCyf5ByeqvdX/3p6t7ev8Ed/CZW+DMc4n2zXbF+aQgYAtcZASPHr3Pr2LEZArcYAbFNeYy7GPGJ4cHw9zaPhp+Km/i3QgofDS686gIwhhEpJFT7FKHRxd+2KMRFRU6aXBWtJMcnMtyziI1R47e4i9mpXwoBtVXRIlT0LspiUaQqcAdXyHFQOe6LcjwHrDYr7D2uynE9AGqFlRyvRKgDxejr0GM8iOgP1hjaQchwLke1EvdLtbFdwZdqxAuvvDQ7oZ9pECVZi3Ac0K33t8jxke1UbVXoWRoDYog4OjiWgpyuoa3KWIIr1a++JHxL7GOhbivEuX5ryvELN6CtaAgYAoaAIXCLEXgyOU7iW9TifNYW9biM7ZxDdBkbv5HELYoe2tigHRs0Y4DrnSjLZYyWWNEpvpVd/jr2/Ff27ux9qTvo/ggt/gp38dA50un2MgQMAUPg+iBg5Pj1aQs7EkPg1iOQc+7wCPdxhI+hx6c3Dzc/5ZL7bIr5kznn15NDp8pv9THOHS1TWCWGZHhRgZOnK0rymCNSVsV4Jcg5sBPjBy5UjcNvPfIGgCFwTgSKxYVOnNRWJXkNPkky7lI57plNm8VqZSc5TtKb1yLJ8UJ4bpHj+xspzslrni+Sq+JVvgx2nfPwbfHnh4AU5WR7942Q46tNVY7XjIIkwQ72AU6YOZlmYJPkuCrHGVihf7xmAlTf+pravXWkcp/XGbuR48+vDW1LhoAhYAgYArcJgbPJcaLgOVeqpWVKbZGiH9fC2bRAY00ZepDTkzx7Gfc5iheiQ+7Vbo3Pe/7dJ/8wwH0nOPeNFMbfal9f/T9Yxa/h/uot59yD24S8nashYAhcXwSMHL++bWNHZgjcGgRyzndwTFc6fDeO8aP9g/4fDMfDd6/avddTSq8OaVBVYQP4lYfvKFfIGEA1qZIlQoJLRXa1WCH3TUqc3yuhXgpvFk7cOy00Y561t6ab2Yk+TwTKNSXTq1qQs5LjUqRTPcc5u6LnOK/AkJ0U5Nx/dEcKN9Jig4Sp1gHI5XqUQgFFOT4g7o/oD3opyDltR5TjsmNTjj/PNj3ntmoxMbZrEwOajYcnOd6v0MQVvVJki2JfJT+WwEl2GMKA48O1KMeFHOc/N2pspFhdqd/4tivqdC83cvycrWWLGwKGgCFgCBgCFYEnk+MqIFLbOmbZ8klcXezETsUHIccj514yz3JCqPMhzmLsrWvgBge3AbDJ8L0TsrxDw7ncdx76o6/7g/AH+/v7v9QetL8navI7oiY/tjYyBAwBQ+CqEDBy/KqQt/0aArccAVGJA3fwGJ8cHg5/Z/Ow/+m8zj8cRv+RJjevBRdCjCROANC+tstIXcTG9ejzBmOO2FvtqTXK9K4p+UqcCUM+kW+VB5+LuZEcl0Iz9jIEDIHzISDEtNqcbJPjmoLLyVGTulKQcyjkuC/k+FyQk5OvXJTlVI6LRQuCkKmbMGDcj+hFOc4A2SCqYiqRqlv5sojU+U7Alr4sArx1MsARkpO06mYd4Nds4w5NXtErRSfWnGOX7B7m7bB/DM2A9Z0N4orFOpnXQ3I8niLHdTI+26pohpApxy/bdra+IWAIGAKGwG1G4GnkuJLiu2ZIHPO5xCmcLxl8DGyrEInTLpLkw7pH5zp0WKHNLfwYkPuMPAAxZuTG0/Byk3N8Gz5/3a/Cb+8drL7U3Qu/j7v4NiD+5FZU5jZ3UTt3Q+AKEDBW6ApAt10aArcVASmu+Q7uwOEVZHz86L31z6SIL6Y+fr/LeMMnd0jaS/WGGc1eI+rwgX60IWJsRuQmI9G/1juMvdoxUOGgb8B5J2oGUTqQkKGioSgRhaQp4JOgmaqw39YGsfM2BC6KgNhflOtvSzmuhKlPYVGQk+S4pt52/ew5TpJ7ixwXmyOm55Icd+j9KLYbVI73bY8xkByvKbx6j7DXFSLA+y3tVFhodWwQ1l7J8bFDYOxzQY5vWV8hCzm+EXKcfuRKjvN/VY7rS4t+FnZdvlDLlW1luQ1jr7AH2K4NAUPAEDAEbiQClRyvT9wT46mFdd7J0/NULcVWxmrkr8W2EoPUfBJyvFhXcszHcUAetQ4NxQ/BtfC5wbhhoJzfZbA2jfP5fbj8pg/4Qxfw6/uv3/lVBHyjeJNTf24vQ8AQMAQ+cARsVvGBQ2w7MAQMgZzzCg9xF8f4OB7j762Ph59Kffohl8PHALzKopnZk/hONBSGa5IU2kyePrS5vIsCsdAms+D7aQSZsCuTe8pMvCiJZ7Yq1j8NgQsg8ERyXL0nfQwi+o0Tqe3QDXvYf3SI5riRwpqVHCfpLVkcMoEKYj8em4S+HTDs92K/MYRefKmFfHe+pPpe4NhtleeCAOe0TJ3uYgscA2Ht0I4tmkjLnGayVWEfSJz/0nZH7vUZI9v17oihYZsmefN7Jb5LCreR48+lnWwjhoAhYAgYAobANgJLCmjHPGpBjhdzlWl1rfdBezvKmfgi0c3hXv0sQW4tHCKGauJiKbFuFU90Y6djxCFBHNUiCXSZl/XOue9EpK+Hlf+11f3uSzgMf4hX8LZz7pG1oiFgCBgCHyQCRo5/kOjatg2BW45AzvmQXuLr99efHh+PP57W6e+7GL6vze1HApq9lEohzRDFTzi2PXIbMZIEC1GLbhaiRCWFqiuvNg7iMf5MWXfzwG9JjldP21veTHb6hsD5EThlq+JKQc5ZOe6ih/PASDsUT5W5w2pBjpNEJTku1znJcWFROXFqZDJFcnxox0KOD0KojnmQSVgofpfnP3Bb43kgILY2JMdzi25s4ddOyPEwMmOg0Xu0Go3Lq5LjUnQzRLXJuRNFQS7EuARbtKCrvtTyqqrH1V1F92KNAAAgAElEQVRFg5wnPcmfx/nYNgwBQ8AQMAQMgduDwGxXtvuca8GP+sTdLgCiz2ZVn9fi2Wqzp8/vOelLM760xJNuiwIHBtJDpIiivMf5Z7XNAzPK3o0hvpmb/B+xF355/7D7g/agfbN4k69vT1vZmRoChsCLQsDI8ReFtO3HELglCOScGzzAPTi8Hh/FHxk2w4/3m/4LYz9+PI3p1eB924RWirnIAEoECCy2mRAb2qcMGN1QCLOoqFWFAiuey89clwOtSp4/K7gnb3lPU50/63ZtOUPgliGwqyBnsb2otiokxxnTiqL4JvkNVY4/PkB73KEdSI5TYDyKqliKL1JxLoU8gegzhm7EuD9g3CM53iO6QX0wpZ6ATqDs9eIR0ImxR5tatBu1VAkbjxADgiZVF3Jc77kkxyUIwkBoMyo5fpCkMOdMjlfVeLVUYSC0TrTZOYwcf/EtbXs0BAwBQ8AQeOkQOJMbX/5hN0FOKxRf/MiTE714CVxXxXjNylXiXALdEuwu5aCkAHuSsYJaq9DDPHDQBxk3sv5MckgpI8WRY75jH9xbbdP+ZbdqfsN5/Hb4cPf7GPEtvCpFPLUQib0MAUPAELgkAkaOXxJAW90QMAQUgZxzi4e4h4i/tnlv+Imj945+Oid82gMfdY2768mDeUo+qSAoiu9qTsd0er4XhdmqKlzV3UrEVEJmskJZ+M8+WzsYOf5sONlShsBTECjX3lZBTrmudSJEr0mmzlIpFMNGyfEMdOMK+0eH6I5WaHveFBxSIUglLZfK8chCTzI/wliU43F/FHKcgTPWEWBtAZmQWUNdCQLiHYoGzdCgXQcpxhmGIMVS+dLghVTh1Lbkmx7yDIDSUqUdEPczxjCqYrzey7m4zMfLPX9RMFnV5Sc9x6/k9G2nhoAhYAgYAobAjUWgPlq3k2+LCnw6q6Ut5awg58iL0zk+rFURrm/mfsmUTdavxHcdD5bfhSCnwGGk2QoLRcG5gCQbcMi01iM5HjnGCFLTRCxXRgBDhov5vTH3b/q9/F+6V9p/Fe7e/TIafBN38cA5N9zYBrEDNwQMgWuBgJHj16IZ7CAMgZuLQM75AI9xFz0+/fjtx//9eJx+xo/++xvXvMGamhxBpSYiiTJ8kJ9ZXDMV/1k9cw7IlPxmqr6Q4eX72S98JkWqlYqm9NnLEDAEXjgCEzlOElMzOWiZUclxIcipBHIZQ9iIrQr/uIokx++gfdyh27CgE+1YmCmi5PmSHOe2Rlpw7PcgOR67klXCwo1UKy0K7L7w87/lO2Two8kt/CagO27RbBo0Y4DnTJkNKcGLcm9nGyMj8t7fDBi7HrGLGPmmmly8xmeLrJqurYoytVaRu7+R47e819npGwKGgCFgCDwPBE7PoxbzrkJ8F7+URd2mpUWljsGUCpfwtzz7hfAuoiYlyEu27/TJuV6GlwKeUWpKMYO4kuxJFOkeITPY3qAdgowtGIgPg4cfuIcRa398PPrhrxDCX+zdOfjlvfsHX8IK/w0HeNc5d/w8MLJtGAKGwO1DwJil29fmdsaGwKURyDl7vIu7CHijf3z0mccPNz+VNvHvBjSfal37OpJrcsro9johzKJXT/FEX3G+PX1nSYYU2xRRC1R1OBPtOJiaK6lXP1olyhckykUKaj7NZu/S6NgGDIHbgQCvS6EuhQSv5DgLMum1TAKV16vUEBByHEKO7x0dYnW0h+64Ex5VCu+KJ3mxVWGBR63JiDEk9Hs9Eq1VaMXB+0iOIkquBZ5uB9rX6yyFHI8twrpBe9SiHVq04iHPdmNVraoeU3I7gkWWo6r/9wZE2uUwYFqLdJ5QhNc+VNOx9Va/UJhXp1NLHbheHcOOxhAwBAwBQ+B6I7CjdkcxPSlWZsvDL5ZmJdxdvcRJb4sYQopwKilenMYnD3IZxMmbBdQpoiiWa/It539JhBEcH+iYgYH1kjmWnBRtJzHOWiZhbNDw9xgkM+3h5jF84+G9H1PO3xlz/IvQNF85ODz8lW4v/Ge0eAuv4LGpya93V7SjMwSuGwJGjl+3FrHjMQSuMQI55xUe4R7Ww19H9P/dw28d/W8hN9+fXf5QxLiKJLt9QlgFhC5gM25YeQUuyAhKrBD4ojKAwyHxDC85faIYlwGUg2MVv1oDfVImVD9aVSfIayLQzwJtUUCmLLIsyDnZs1xjzO3QDIHrisCsEi/KcSmsWclxTaUloTkEeoWPFHujiyscHN/B6mgf7eOWt4up+C6nRpJKW8lx+pX7jE23RqKtyqqXrBOSr1QbGTl+dT1DVF1Di3Ac0By12IsrtVQR0ZjaZ6kFigZKhBynpQrV/3s9RpLjtNGaLLa27VKMHL+6trU9GwKGgCFgCLzECCzIcS1+Xa3MSoHNZdB5sjyby2XPWXvqpyJ5v+S1azZvETfMGV81sK3We0qwz/M8pATv6nGQdudCOpasxbmFhi8idZcb7Ie7GNcRcTMgDwkNHFrXPGi8+45z+S/au4f/N1r8Plb4L/gw3nbObV7iFrVTMwQMgeeEgJHjzwlI24wh8DIjkHO+g3fxGiK+pz9af+Ho8dFPpk36vj23/105OUevcDQZueU7YXQjIkZAhIRTcv1UlEXVAyRPFuS4AMg0PQ6ACqkihV7q+nOxtqpJrAT62di/7OT48vxO3M5vgKLyvA+gG3BKL/Nt4PS5iT+0kp+qHCczqrMi9R3n9Uxf6UHuB1T7dLlDt6ZqfA/doxXa6Ofiu1xf/CXVbkWKeQKILMS5GhD3qDYumSdUHMs9pB7W3Ju2+8nyt3ovKbG1EoC7qY121vWz8zqZFp4nuFvITbeS5VbLz5PNVbnj5qLoGjr4Y49w7NFRRc4bvrxUBcbgRe0LkT2gHSTAMeyprUqi5ZZ4lBZifJHVc6bneFledmO2Wje169pxGwKGgCFgCFwlAvLcrc/oJTmu39VR0vQ5LV+LbpblSrFNiiFOWl1qtld9c76nJLlqzFVJrnVrREclbyXq5QFfRhM6PpDxhPDpHH+0cJsOberQugA3Zrg+wUfxJOf6cTNu3m722r9sD1e/1Nxd/SLu4E+xj3cBHDm37bR+lc1g+zYEDIHrhcB5uYnrdfR2NIaAIfCBIZCZA/cA9zHgjeHx+nP90fizuc8/7KP7hMv+NdogDKseqU2iCAXV4SQ7qi/s5A+7PMR6yxFWbRr8bJ/EWUX2nhM1eq1sVS5zCxYPikVBwu1tPXXLAudTl3pK/6qeg+fvhnUwvHPNxSB8++8LMvS5HP/5j9vWOI2AekKXyUy9tMVMoyqE5mwPTp7oI7nq99E93EdYe3g3wkt1p4yUOA0K1ADpREs2PIrqmLYqw17CpuPvtGmJtLYWf8pKy6eiWJq7dr3P6Kyrpv0qsepF2XwTX0876np5TO1Sp7rTtTUHCnRyOqvHakZOCA1yZJvo3xsWzipt4un9eUw7FaY6S8JQSeihhzwnvaWQcrnLRD+g73oM+wPWJMebONuZyq3oxP19q+5EbaHTxP5NbDs7ZkPAEDAEDAFD4DohoGOKp4fcT8/EZq/y04/xurRmks1yKd2XGvPpaybFT6MiT/4aq+fIjQXBI0taqQUnhRgukhLP4upG5z0ZFIraPL8N578Z2uY/rfa7X2oPwu9ihT/HPbznnCg67GUIGAKGwITA0+ZXBpUhYAjcMgRyzvt4jHs4xic3j45/LG7iT459/CFEfMw7dxB8IwrQ2IxYd0fyyd/5XmbULX9e3nFOZOvdMnRPnu5lbsHnJMdlbLmFfhkIX/wYlIA7SWo9W5OqMvT0ULySebtFoUaOPxu613+pblxh9fAQzSbAx4jgshDdJLdH9g3XSEFPVRLxP9qqjOhXEeuiIAcGDcxNOiOdbMk3VC5rdd+FCqlS6BWfl5wcn6BZpEOX72bNWHEFFc9QDUYoglR0Ffl3YhUIFsfyWnAzAmEICOtWPEB9Vh1YzfiBK4qwchFTLcbnBIOp/d6ADW1VfNQJ7XOKeV7/Hm9HaAgYAoaAIWAIGAKXRYBjFR0/lHexb5OaoCTJE/8e5JNF3tPIrER3FHz4Thva/4bO/+LqDf8rCPhL3MEDs1y5bIvY+obAy4PAxVmRlwcDOxNDwBAghZTzXbyP1/EYPxQfxp/pj8YfzTl/MiG9nnx0LKaWu4TcZSmmyUKbJKAWmtEt6nUnOT4RMwq5ESOX7XrPbqsyE+NTIiUgBXIu+hjQVMnZ4mY+l2feIu04drzOckswHu2y/eX6rN/GDqujQ1GOhzGCzky+FGsSTbGk6JKS5Yv9PKJvBgyrKOrxsYuIboNMybLeTSotLoE6UruJkufymhMN5l500/vT6Rybk1fe7t+X5y0GVkXRRanVFPAqxY45waTSv0kNwujhR4/cZ4QY0I4dAn3lp+TsKVVAm8w7ySSiSjy2rEpB9f+IgfYq9KC/6Q1wfS4nOxJDwBAwBAwBQ+BWIDBlu9Wx30SUayF4Ic1JjHOOUchxqslzyhRcMF/xndaFN7uu+/f+bvNvcIj/D6/gO865R7cCQDtJQ8AQOBOBZ+YwDENDwBB4+RDIOTd4iPv92H8ivT98Nq7xs+jd3/aD/ySyu9t0jRRMo+ovktAgsRF68f3NOaHLrfoKazXNQqzMOM0JdSewu1bWJje3Xc8Doy47t4iqRBcFcc4Jg6ZIVoK80pOFx3ymbVWV7+nHkHFmzwTgjV6oiS1WwwH82sFvIpro0eRGCHGWY9JbimiXS/xmRB8GDCRa9xziXsTQrBH9OOGgEyZaUhaivHisqHZ87mfye/W53grp3TBIJ1K7gFSKak2QbRUsLhjUi6s61giLTVK8XMvFDqtUzELIrfh6NkMD33uEXglyvkVJ7jySyvcnaxZtPDUQHUNE30bEVULim+3nBoyi+j/LQuuGtYMdriFgCBgChoAhYAi8MATm0cNSPc4xI7PZnFir8GcZReowR2ziODxhrRt/lNEgPEoN/jy3/svNof/lcLf7PQR8C6/goXOO5iz2MgQMgVuGgJHjt6zB7XQNASKQc17hEe6PR/g+rMcfXx+vf3Zcj9+TR7wRXDgIIcA3HpRtRh+V0AhRSXIW1/NRCPE2NbXq2kSQC+9UbVaksKa+jPDc0fcmgur8/bJWl69r7sZ3+9slQb5Vbf78uy8FVU+suMMmZSLqzrGPpQ+0HLN1nnOgdzMWDSmgTSuEjUdYZ4Q+oI0MtrXFJ1LPQ3hXsa+OGEmq+oTUOYx7EZu9jRT7pB0Lg3Wc9dCCpZLjqkyuxHgNxmhASD0s46R6vhmonTjKieCv1H+1RZnJ6lJmSwunKqLTRtSBvZDjUhx5LphVC61SNd6OK4S+QbNp0PQBzcDJpxZVlsvTUz1eAhMaMxOfeBZnptp/s0fVeEZqoyj9XebzIyEFu7RvZL+zgzYEDAFDwBAwBK4KgeLJKEF9WqmU4DyzD8VyhaQ4xzws1snJTklypXKcgxWKMVaDpzMfxpgQU36EEN5qV91Xu/3VL/gD/BYO8ae4g/edc/1Vnabt1xAwBF48AkaOv3jMbY+GwJUhkHM+wDt47Yge4pv82c27659rcvg+5/G6b7ynVWxySVR9ESOavUbsU/S9qDo+sZVKPFXleD0xklPP8rrtnOdZ9iHPgl0dDIrR+ymSfUdIYmoSVXXK//Lds7XVrmMShW/5Q93KLquEs/ewy5ZlW+U7HeFt7yzP0ilu0DJU9gTqdnovvuPNOqDtO4Sk5PjUsYTLZqHfhIiI5DNy8JLFsj44xtgU3/Fa7IkzJbBIsLjaz72zFOCklkgyJkQhTXL8BtdjWhSunQNf5ZyFDK+e3rOyau4isz87cdAsECXH9eXU8z2yjRq0Q4dmowU4aa8yseH8kff7QopPwSw/YGxZhHPAZp82OMxA0raRD5LjxdL8BnVbO1RDwBAwBAwBQ8AQuEoEyphQ5jJb9VJIjKsAIrimVoQvwolZNMDxJ9YjWrQyDnWM1EePHN0Yx/zNlPG1w3t7/9rv4TdxB3+M1/COc+7oKk/Z9m0IGAIvBoGLsyIv5vhsL4aAIfAcECh+4h/GGj84PBr/Yf94+PvjJn1yrz38MAPp0Q9IYUTqRuROleKZHuM0Aibrwch8KXRCj1mfmEoP9A3JKiVTJCJfdZrPSI7Les/h/G7qJtSa5OIv+umRANvyEJ62ue0sPO9FKhxqlfgt24XzHYequ08XNKzk2PLhsutBwyMQUm5RLH5b6bt9PKYgP1/7XPela59g9kmzbtAcN2iPOzSxK/2y3EyEfCVxq8VYNbTjMDQD+oO1ELCsfUALDwngUVl+wjKlWgiJkojKouKTnZkBc9PvQFtBr3pHrQT57MQuP01K+nKnLp7/egfhDb6gK/6dHi55uMHDDw2agcR4iy42FIWrEqspcYziojLdelizk/ZbLMC5GjDsRyXHWckzZbR8hjiHEWyr695T7fgMAUPAEDAEDAFD4NogcIIcn8qIS6BehQGcHVV7PrXb4zfFrI9jRFZ7p/UKxzjMYByYFcci4x3Lj+fNZvNus2reDHebX/d38G+xj9/BK/i2keTXphfYgRgCHwgCNi35QGC1jRoCV49AzsJ83sMDvNE/6n9k/XDzc9ikz/noP96guec9/cSDEklNQmpJjg9inTK6XnxhSWdQgRmyqgibqMXZAn2BvcO66TEubNkqgVmV5JP37w59stmtcAx3eXJ82dNmJfoOYrzsayYDWc1dmMcLdtazPcOXRPZCu7u1H547MxKWGMxwnD4mI8cv2EzXdTW2P1S5021WCEcNmqMO3dAVyw6JvQh5LQE4SZAohToBDG5EvzpG7Ea4xiE3agGlb6qS6aOtgSAhxcUCuxRqEuW4ZsncVHK8aKAWrSvhphL4ql9LCKz8Ui1XCjE+YVmxUc9wKqr0MyAPdEcp/uJjgy61CNEXcjwBXdl2ZbhJmFMN7hOGZoNxv8e4N2Jc0ZIrIrJAKlOaWeTTeclPutwd8Lp2bjsuQ8AQMAQMAUPAEPhAEJDxo47flpnKOkaE1EKRF11UJHg/L8ffZf7RqAVoGxn8D0KO096vGTU7juOgmBNiHh+OPn3d74Uvt3dXP9/dCSTJ3zKS/ANpWduoIXDlCFyUFbnyA7cDMAQMgd0ISJHNR3gVAz42vJO+MG7Gn43D+EMZ8WNAOnSMlvPKJ6HUBbEpqJYpif7iC99Z1RdXL1lWAS+KQlEMa7E1kuvL10kS80xytKx0m8mRC/PSle46U6GvqHLoOI0Q60ixrktbi8QCiGUQuaM7nbTL2V6ESt4iGT2x7tTm9fgWXuT1b+TTaKuwC4MpuFIGt3atv3wIUA2e3IAGDVbjPtrNCs3jFoG+1jHoCZebD4sCaw1NqpmdJhs4YOOPkLsEtA555TA2EUOI2LgeIwt1cjPso5kGQIBPDPSVwpHOCzV7U+8/apkyD+HmArmVJKdIW7N66uRxa8An171mATXUSSWPEAPc6OCjh4sBeWRihy7DtxTglGQibikjSmYRQP/4pQ1O3w7YNBvgbsIQNlKngs+WYh7PhGedsC5sYV6+Hm5nZAgYAoaAIWAIGALPHYGaHVgHNSUrbk6kO0NgUw6ERcQ5B+EMl1NiCsACx4dlnMPP3CdgFBVFqa3VPArOf9357nfbA/+vwxv4Mjb4pnvdPXzu52cbNAQMgStDwMjxK4PedmwIPF8EhBR/iPvY4K+nd9JP9I/6n25D+/1jHD+aEA+oDmeBtES7FP7cZIxChm977i6LIW5l4Rc7g3rU+rczyNEF42Tk+BPa+RIFOYU31pzBHa9iceOcWpJPxuDz8qIOTaVYzQW6opBxOwoanvVQqccwj2UdMxpL+EUPYNurfrbp2epzFzhWW+X6IVDJcRZO6uIe2n6FQGuVvkUYPGjfJH1cMgw0TCfBuch3OR8/yv0stRmpA4YuYWgjhmbEwL/RNkXub+qOz0kQyV2JDwo5vt3/rh9KZx+RpA1L5kfNQGGwqtjPFAV5FY3X+4R+qpac5+9zIwpxyQiKHs3QSIqxo1qcAQraqojafopTbN1LBqfe7ixupYR5koDpsJcwrAaMe4PYq2RHCXqJaMAjFU/Q222qdZN6mx2rIWAIGAKGgCFwjRA4mXk7FR1/+jGWEWGZeNR5rBZ0VyGFlww3EQvQdiVybMTfOTZtjlyLbxyH499rD9tf2Lu39x8R8CbuS/HOG1zE5um42RKGwG1AwMjx29DKdo4vNQI5Z1awu4/v4LvG9zc/OTzsfw6D+/7GhTdACpwF7EiKdxlDO2JsoxBKrIoWY18cq1URzkJ1dGqTgnXFT1oKfctbSSohqsSqgNF2JZpOvk6OWXYR5GarcsluuSDWd1qOnKWoKBJPoclKXb2zjuTpyvHqU7zYwhOkuCeVqyTnlsp1OSZh7oQWnXzsZetlZd38TdX7XrLNX6bVhciNQqqGpF7jLPjYMK21p4pZfSNJios5iFQLBihALvUjtU8E9RmPbRJyfFwlucfxPWCQv3EFxyKdvF8Vkpwrk6RdBgNvErxCjpO8LuV11ZO9vIt/uPdeAmgTOa4CfC1WmhmWaEQhzhTiZtSUYqYW+7F8vyjWqyJ1nUSyRfgcYF1OSUKSOpsJ0RH3jPEgI+5l9GGD5AcwDFbxV8VWadPTlYRvUhPYsRoChoAhYAgYAobAC0ZApwM7KKxnnBpo7RlJLZwyp2nHV8UUHCu2voUkII70IqfdSoDrIYS5DIWCW485fhvBfa056H5h9crq36HDn+Iu3nNu4Tf6grGx3RkChsDlEDBy/HL42dqGwJUhkHNe4TFewSN81/rx+ic3R5t/hCF9T4D/aBNC4z1Vw/TezUCnKfCDH1RRyeC2p5/4qOS4qAOVEOeAocTOJ2KKwsCT5LjPGU3SlLSTr11k7Vk3m2ccy1wZzh/kji93A54LcS7x3jVoXBberPtkH5iVtec/y0pSn9caprY3Va8N1Rj0Vtkivpd2C9u9Y0nQGUV+/ja7XmtQjqxq4sxU1tyija0QtF3v4Hrae3ASEgBP245i68QCSpR8F39rOaeQxWtcij62CbF++lG+z078QcpKSu7Kfm88OV4CCCXFWMjxqhov5yhTyOLBWVXgWpzTA1EtVDzVUIMqx8PYiGpcrsvla7JAKtWZaT0uJHeCS9ogidiTHN+HtMWAjQRAqBWnIkuIfBbrlPWqh/zl7oLXq0/b0RgChoAhYAgYAobAB4nANM857wSkHFQVF8g40HH8qIXc1WJUZxeaqcjgf0CbA7pEIYEDxgzHcVNqqQnAmMVe9Fskxpu97l/u3119CSv8Oe6Kkpxpc/YyBAyBG4SAzUpuUGPZoRoC8sjOeR/v4EPo8Wm8l34m9fiZ4/H4r49ufAWtcEzIrZJFVdpNn/FM/9lUqpOkDPlOIuVKU+hrVmrmou4TrWAhMzhoqFYrqhxXBfmu17MQ5EaMX9xXRVS12jilAvuiFRbphaeI8QI6i+aJxc6FswDp1zLJvHd6h6c0u55L3108cej/3CXaOuiXdUAqSlfpikuj8tkbeib/9Hxvcx+6yXdE6TnS1lnIUirD6V3djg2ajRP1uOs5AQlwjjc1JcfFEkX9UOotS/oK+zMDgKm+mygFI2MlyPm9+JzTabxMgKTT3cxh0Lbn+OlCnAIOY6COCnF6tRM/iXIKdiTHU58FcwYhSJJTIVULLheR+ALj+RqlCly4dZ8REaWwKiQ7STOUxoaB2HGhwqr6fL2mq02OXvQ3E/+bfO3ZsRsChoAhYAgYAjcZgR0zn2c/HRmKlIB9zYeToUj9Vot4cs7sHaukaAkbydWj9QrHSpsVPKt6sm55GjHGMbuAb7dd99+aPf9vfNt8qbnXfBWHeMc5as7tZQgYAjcBAZuV3IRWsmM0BJQUP8A7eG18jB+I681Puz5/cXwYP9M27X0S4ixG14ceYzMirRIySYo8inWGVOpOWnREiqvVgmoLcnxJMqoCUQcKEwG5g8etxOZZDbSLILfGrHzTdkG98+JC0ltTA2fZtQ4WqyKTxBgbTdWl8n2NbJRfSGw9iV5+sq2K+hZP9ji7nibc/6LfLPsYF2c9P1GTluOpanSl1KtFhP48b6f+TREzcvy8Ped6LM/bEn3F2dY91TpePcWp0ln1Ae0mwK9VneNyIwpy9nUpqMkgX9F/i6e+9D1NidV31AKQnUNqktwbSZzTD5sKIb6nu9sN7UDbGSLbJ6GBB94dghDitZgmleJ8ZwZHmQ5EUpzkOEl0KUYVWJpTWfDpwizXWbm+9Z6uqv8UtG7F2AxIXURcFfW4G6kjny5Qvf/UoJd6wOsR31xbm+txFdlRGAKGgCFgCBgCtxGB81JYy+VJjOtYRGdMOleqGYXT+HCe4cgYU+bTXCqyVs4+0DukmLSop0T+M+I4pjHG7+wdrP6rb/2vNnfbLzVh9Uf4kJDkx7expeycDYGbhMB57yw36dzsWA2BlwKBnPMh3sPr2OAHj98ffjYe9T/hovuU9/6e7wL6NIDuumiBsOfFQqXPG/S5V0NweZgrISIqQtdAReRUW85DA1mqFl4Tq5VCP5Wim0pnKCmiPwu9WfzJF1A/oxj6thPnVfk5kds7euuTyGlZn6raSn0X4rsSY9qehRYvBHndlyxDv2IWmymFD3ddLE8kx+k7v6gYvxVcKSNL52tRxYknm3ajti6qLpXeVP3Pi5hUAjSZyvZqFVFX1d8XMYGX4jq/bSdBIpypqmz9TSGt2dYs7rg/tNgbWvhj2ny0yKnV4pCkU6naYS4rqFwOIoTWIkpMg+V9q3iukCAPWaw+BhLkrLkgRHnGSJ9yp8tz3Rv7OqMglRDj9BRnwU2m/8ZyrZMQL36Zosjn30SRX8KgYr9SJ4hVKV6U5gWkZQ3mHEZEervvR/SrAX3TIwYtvil3JlGp+0XmEbGm07tOSrnUTfV8v7F9xg7cEDAEDAFDwBC46QjsmGuePa+sdFf91ALmtST7MlG1ZuNyaOhp6cfi7WE3HjAAACAASURBVInhfqnkLuMZGcLEhC50aFm7pc9I6yifHYvMhw7jOGLM6b3k8WY4aP/D6u7eL4b98B9xH99yzh3ddPjt+A2BlxUBI8df1pa187rxCOSc72KND8f38AOP3n/0T/M6/mhwzSda377KB/mAEUMzwnUOofWU/mFIg6S455DA+nWRXrD0HicRLs91Lw/7FLM87F0IKhKs1hyVHBd/2EkTrPn5EyuiPwupMfmTn4D7GQjy50GOV0X09t5nC46t73f5vyyV1EWdvLXOgnCu36vCQImjXbTa1k31TD88VY1TOTuT4/xO9zLto5CA03lOOyT6HmlUv/itY5sU4tCClicIct2+VmOnx/Mpb+FnvnI4uGR1xNN4nySulzDUUxByvKFXX5yIcRYKlGCOKM5p/VP9x2ek1QaIp1WKw9ZWKB2qqs+3lea6fH3V0I7K0RcS2RNPxGlbS0y2+tEzdPQzjCNq13tqH5oOesfj+ixPI0XoCar6opaR6/1ZhwGnj7QSm0/bwtaaVYGcVCVO+PuJHFcFzn5s0A0twqZBM0hajCh1SLZSEC4kOFNZGxZTKjFATmRisY2qQbw8ItFiqr47N5PjnuTssLivnbyep4tRW+DMa/li5LrC8CzrLtE9ibSuX1VP4pFZ7WeoAicBPnq4wUkgTAJiVIvzOcB7T9LQ2rIblVCUBqyCkyDq1rSSqnOBg4rxEWk/YdzLGLoRaxwjuhEN05Ad98UFvRbgnC4VkuMs0Kk0uZHjz3zDtQUNAUPAEDAEDAFDoExkTo6gnjyv3B4/bZHjkyBsnk3FMSKEBt43iDKH5oCZc22PlBOaBkhjBEvatGixIk2eArBJyEMWnUbwjY5xx/HxkOM3wqr9rbuv3P0X4RX8NvbxHVOSW1c2BK4fAk+b016/I7YjMgRecgTyu/kVrPFxrPH5o/eO/qmD+4Gc88fh80GkEjJkiMtAU8nFmhqmNhTVjqIwOgv65TTJssX3LC2etzBekuTbhI4SG1dzG1mmwdVzVaZoSWlWgmtWH1cF/OzZOysJ9OwWhFNRX2sBu5J8Vz2y4TCSGFamaCaQpgCDqg4q0S06/EmlquR4Q8/tVLzDpc6d2t+Q8SPRlSVdr6b8LZFWcjPvUF6yTXa3yPa3JCFbEmUXLGgjZFdRe5+i+HaSzCcvXJKTSq4r6tV2YdFzC/EuXLn4Upfu5kqFeQqKi/pDee5yDdBPn+R5rjYb5fvKhddUShKuC8sH8TufSHaS88R46eesx1qJ91zIRel26u2h/aScP7d31tUhW5KiuTMutX/sziYo268738roKNvYIstrT9bjX740tEUbjWVw5mk31pP3AQmxzNf/Fpc8/7K11lYghXYf9GukLziDJKXQI3t1KkWQxgZhCPAsFNkHhL5BG3nz4wSFsTn1vJZCk6XepoaKxEtKAzdObVSkMKfcN5nwQpI8YugGjJ7FOmef+wm1rftImYktAlfbwcOnYXf671IOlCk8W5ZBi+WcBz375a5Dormk/NZPKrxLDElJbikQVT7l5wAmD4mnONuZfyvBuImYF7BKqKje10qDSf8sTSyTSF5TJehAWnsMA+IdqvJZ9LT6udcg6mzhJLfHpT1XKfOsZzqjeH4EbQ1DwBAwBAwBQ8AQMAQugEBl0k/oILa3NEsDlmNZdSYv1nHTuJDjtJqNR3GAZuzJu9R1cck9DvDfjEh/sPrQ6n8Pe+F38Ab+yjn3+AJnYKsYAobAB4DA1bBaH8CJ2CYNgZuMQM7Z4T3cR8LH1+8PX8zH4z9xg/vbOeaPwmFFEoiF5iKLnrXlZ5I9fC8e0DcZg/Me+1SMZWIXZyJcSZdabOUEuVmJQipNRXU9k+Oz13oh2Ce7Ad2bl3IsSpQztY4WvkozFvJcfH51OVVxKiHFJhLHB25WxlOalheEG+bfy1ZIYAlHqLYI+m9BvhceqxJaJMcndvUpImY5o0raij2FKnAv8xCYCLTzNt60/Dzc3FabF/xLW1XiWdAuBDfbis7G6jGthLT+XCvOZ8moUAsW/b6S+RNZPLW/+EnIUc1keEakrYvgVonBSuQrlhN6kx1FPbFtMnqx5RkptSc8I/ugEOGVZZ/W2ra4qP11bsPlfmeiX1ef/1bJcQmM7AiO7O4TC++N0idpZlK150v+vVKey/6hP9d2LdkqwlYzQDD7hSvLTesUjzaTHPdCjDckxvsWzdjCkSDnS0hZ3ZZeYBo9keOvfV3ajimxJHgLb0677ZDQ7w0Yw6htTrKdx1cCK3qJFvf7k9kCBU/tl6dCQ3PvPmHZMvfjamNSbgy7AOe9pESD5B5Rg2RCcpeQTgmeSTCNBTWrVYrYpdA2pdxHlu0sh1uOWQhvHkv1NCp/KlBK9pEUTCUBrj7urqGiHIhdxKbbYAjjha9+W9EQMAQMAUPAEDAEDIGbhICS4/qWEasMpfUbFSHoeEzeo5dxrOdYllaWkbR6ejw26c/Qud9s7/pf7O7s/zZewVtGkt+kXmDH+rIicBle5GXFxM7LEHhhCEykeMan0tHwxfX7x/9k3Iw/ALg3nPeHibYB4psr1evELkWqpwkpqJTP2dTMCzuNK9zRfAtb3syU8DmLuKqIaXFSeQnnWApAFjJNyDFRds70uVLf9Xcph6mF7zgyEnFlIaMS/X7V31e8fcngLd6TopgFU6tHSyHUlQRTMqySYxXgiUouhKAc/0ly81nu6oVIV6uDi/Ug8SmWwogXfZGsnpXTS+pWic3i71cJxomgrIQeffSVDJVlhdyufuRKDIsnunijT7ypHizjEVJQMIn6WMjiQo5PTiuFUl0qx6ftTIS7kq6nUTjtiT7buujStd88yXN+7mzLPZTGky43B3cmNfCcPHGiYbavEOmyNfNhueROFY0GBU6/qqe9tkJttq3NLQIyJ7uqBKcmcrwGMfSak+KcOcCPAQ0V5Hz3VJHTQzvIO2QGh5YX6KL9F4r/Emooh6WBLJ672PpIUWK1oZK+QMKY91zxxFdF9BRcKRhUi5CnXT8nPfun7ILJ11ttRaaWqfebck/ZCrLJ/aMGAhQfpu5KMK1YpAiesdyT5C5S7w+LtKApR4MTuFKzoCYXTM1cvqCtio8YPBX2EbFhoWfAyXNJC0DTFslehoAhYAgYAoaAIWAI3AYEZLxbxEVVpCLTkTISFttMFkTnXJAE+VT7hX6AHLexkCdt6/A4u/Rm2PO/vXd37+fDvfBbuIc3jSS/Db3IzvG6IvAsNMp1PXY7LkPgRiOQc76Pd/AJPMbn14/7f9avj38wp/EjLrg9T8VrQ0/dLArH1Chpo7JjyvpqOtftTkuvZNtpUm5ZiHJXN6k+u/UWWInxqhwuRUdnHvIEN0gSHGiLv6+QVmJpoIUuqQyofr9a+I7LByHIq7UBDSGcSMepHi3U4qRkrlTjTHluKasrOS6evk+4jZ9SHm8x/cLXX5TeFpEtbR8uvAEyoNp/t09hCgEU1fY2c7skHD3L/gm5Oi9DArLok9VWZTpAkuTFbkOKOUYp1sjPSqxPyl4R0taMgyXxTsvBQsKXgqJq67KAoVh01AHzTKRuk/AyeK6uMie6aLV2mba7rIJYllXNikqht1XbusC2f/1Jqx3a0mhhynjCckUH/duY62+nG7rCPsUynnBHlrUX/U33w+tBAwnbBLRSxmxfnVg0CLTAGUqaKlXSQ0DXr8RKpMSs5m1sKf1nZbT0FSGe1Y9fugODG4UQ108NmpAYZ0BSyPOJJJ+V7+wzRXN+5lkv++pSNa4rsFAlFfBaaFSOhxizcHINupXbg5LeZcniPiPpu6WisirnFbFZRa/FNeeCtuUeV4KAun5XfMf1NlSuxlJjIqpdCjOV+BxqM4Y2Qqy9+L0EFW5v5tKNHnzYwRsChoAhYAgYAobAhRCYxq9lhlEtHYv0RUd4JXtYSXKOZRf2f2K5wlo6rB2VaKF3DI8/D/vdl1d3u/8j7OP38Zp5kl+ocWwlQ+CSCBg5fkkAbXVD4LwI5Jzv4Tv4GI7xhc2D+L+kPv3gEDcfzyEF34GMK2ITMbpBim1W9aIWAykUlSh2tbDahcnJ8x74NVx+WWRxVl8qC1e9vovpyRZO/E5J2aVdRqUAZ+msEFqFeZ3sVETJTPLbIQxZFeLV75iqzWJxwMEQrQ7kU5ah8pPy1NJmZNLbSo5X5nBJik9a3JnEPkEuisfwk9pFTIl3LyChlosS24VjV574khs54/iXW63Eam2h+ilWGTNMW+zrtlpY20xJXyW3SQ6LD/WiwOeSWK9WKhPxXljjuoz4MDfafhOdLxEDdSJUiw6191GrlxoMmM9MPObL+cv1XZadzrMkNky1BCpW6utTiPHlmS5tV2af/G1PfF0++YxBSM7t9ptJ9WXDnGjjSa299FzU5WeM5/W31l4EnKSwpmxrm7gtW5JrhddOnVyIhyM9+nnpDC1WR514kFeM6x6X9wU9Jvpzl44ijZOVRFapTzGK16wcKqXVQzvC0dO+EuOSKlHuwTXzoqHy+3yvmTDnPUHvB3IU9WJckONupC+5Wi3VYps1Q0Xa36tyvt4Fqh/5dLMr9zf2Vc0S0IwjMQTKDDqs5jrLciZKeDPKpx7tqajFnWQvjW3CwL9xeznRuv1y1//5oLOlDQFDwBAwBAwBQ8AQuFIEas2qIpXZFiHIkWWZGukovdpxajafZo0G5DWn+x1CapD7jNTLEOyR7/yfo8NXVq+s/q9wgD/AK/i2Fe680ua2nd8yBIwcv2UNbqd7dQjknO/iLXwkbuLfi4/TP84DPjcc9Z9y3rPINXJH+xSmro+Ssi5vsFicElDKnZDsXFgpnJeZubrT/2D2XMntsvUtQnSrkOXMoFbyTgnLmRydVLDVt1j8w6lMVvJbCKhqa8DABH/eJCHJ+VJrFbVqEb9w+axqcV13rmDJdkwSCNH2LXufZNTT0egwa0GK1yZXrvUM6feO5U82gBJyl2yWS8RmCtf85AOYSNgTi8n5KZE5E6H1pIsbfblepvCBcoLTS36t/tKLzat9dcnQmKxatqTYpU3YdgvlrFjEFFuPYhfjaEtR+yhJ8/kQi5XLVIZ03uZEkJ8gjLeKWZ4gtOvxT4EcvVfUvj4HiuqCStrHHed/Qkh+qn2WgwYhWxegTtffk7IZym2MMwc1FZkLh271c2LF66kUo+S1OF0/vHRii+5xg25stdBtKWRb1dOchKh9UQmUlUqp2rbFnoRFAyZI9FqsNiss9EmJuWQGVD/y2mlFkV0Kqj6BHl+qxSspPhVd5SSJZL9ki8zkuO5itmuSidTi3qP+41yI5PhcW6EG8eqETKyCqnK8eu6X9hKrIfHEbDXzQm4FEZnPHD+Kej76Ea4DRgYHWPw5ZPlZAwfa/5Swv+Q9xFY3BAwBQ8AQMAQMAUPghiCg5HgZu01j9ll8MBlW1qldqYkjxdVljOfR5FZsA4O8G/ghwI0eeeRoLL3b7oWvoctfwR38q9Xe6neLknx9QyCywzQEbiwCRo7f2KazA78pCOSc7+B9fATH+JH1g/U/HY7Gz7uIT4QQVpLfH5iyDlGL934QIgIhiSgwjr2QD0K8VhsFF5D4YCYxklkM7RazEyfsJhaaXCXAyv+n1KzF5zhKMT5Bs1QZ109aOahXuCq/VbHK76sCvJBrY5rIoUri1WJ5UwG9WsBzUljrUWmByJkaVAJzJnZnsv7JPX0XD/m0HiF+3GKLcgnlJ/n+hWf4ea/HUvvw9GqnJONlkZNPK4kOVLPkssxkT1MUyae2VQo3lswB+kyfVNYLXS1WH0ouisq2fC6tbeQvMap1xRTAWNjzcIEwK8f10JRAFy6URGyral4hOsU3XXpGUZ2r5/2UrjkFgnR9/Z6+OssIx1Z4aMK2lqYtPW++Mkp/qws+1f980VpCqEpBxx1X3dPI8XI3m2085g1P8aGthqlHTgW4Ti5os9JughQ6cowhjh5+bNCkVmxYZI1qh11jY8VLXDAXwllJaMWzYK9S7IWtzukuOpHO7CfPSI4vt8L+pbf+mVzeFVgQG6Dap5eeNAVysVwXopsBHSW8p8tk2fdLYECzIco6oh7XfidZFCFipAc7rYaC+otLFpMbpY8yVKse/qW78hqqxYXPe/Hb8oaAIWAIGAKGgCFgCNxABHS+VmtWVeVNEdUUS8Y6jpS/VvvAaYTmsGo6qRvDd5MatKlDM3YTSc7xa0zpQXbxm+1h+HL3avcvcBe/gwOxW6HO3F6GgCHwASBg5PgHAKpt0hAQmiXnA6zxYbyNH16/v/5nw2b8onPukyH4AyUbRqCj97Gq8sTflkS5i0hZ36EQQZqKpYpxJbq8FAIku6m1sm/fayb69NxncmuBxWQ/sbQfUfnuRC4KuVTI8Vo8JTVCkGPUwn+exFshyOkfXqXcWjBzfp1UUc5i5VnFuRR7j1XdXBSu3FJxblDyumx+a7tL6fgZzf4kbnK5urukZzjJ/epMcd4eqKmFO9Y6ixw/uWxV8W6Rk8v2WBrGnwXUGd9XMnX68w4SVDjUqhwpC5bdqwK6FMwtpKuoj0s/ZR8gOT6QePS1YKgWBVU7lpIkQnK92mFsWa6wC9L6QolLeU3kbj3oRVHQrQwLJX/F85zK7C3fmDNibTtGCjyXeilMu5cLceu37etj67d6dWjDlrCQXssVTgYTpkmF/kXJWT3uRnwbHfzg4PqApm9lctGllSZkDIvgB/GnEpxe83LfLJkcYk81n6D60utBLANUS/egqs7W1c4ORZ32GT/R31JcmtXPnWg6nAXwdTeVGNfHgGYgVPy2Id3e2XQy1X2IGAyCCZ9BJMMjifGOwdqE3PCvQ+lf2kf1kiuBJw0blb2f9+q35Q0BQ8AQMAQMAUPAELiJCJycJHA0RKHVPOvjHH22YdShnmSPFmvOHJOMPYOj9abWqRKBx9iiGVohyRsWH0vAkPtHQ+j/pD0Mv7x/f/V/Yr/5Y9zBu85RGmIvQ8AQeJ4IGDn+PNG0bRkCSorv4128jh4/vP6r9f/qsv87iPhk8vHOGAaxTskdCXEWN+PDUsvq1crXSrfMatSZfFQysZKKagsyp7jfNvCVqJnZY/UdLgTaQv1ZvYZF4ZvUB07GJimjceoGx/9pg0J1uKjECxmOnjYpSpQLSS4eyDMfJg4Hy7voIk4hlsDVdqR6FBdCV/WbDomK18kxeJuMk0V3keO1oeUcqjR20fpb/PDuW7zyl4X9u6gvQrWtebLr+VO65Q7yb7nGCULw1MaW3PSZHGX5Q1VnTxt5SjXSM5+Oi/DCDvh3CJ6LJ/ay4aon+VKhPNuoVA9uqnUl+OVpL63sJPsz+VuqtpltQmJTen3NoiiE6VJxzkBb/V2PQm1IVLmsJzp5cs8O6vLdVq2DrQZQi6dcO2klbc/woN8F52SJU3yz9fI9veTkub5QdJdQg/iRNyzYObRohw5h08D3mqJaLY/ksEvAQe+ZnLYwGBEmX8jJu3uhpp/81xekcz06IcgvO4KabiaLDU0FZWcb8ineUKzmJy9LeR4Ucvys4rtl09o8Recu8b0R0fdAS9sUyJv9aQgJI1XkErgpfYWlX0sG05zJxD54eWem2/bcsvM1BAwBQ8AQMAQMgZuNwDT2nebvC7mATPFUuqCimGWGqWYMii2dZO4xQ1SzRJUkb9BEJciboYHrtSB7GY29B5+/lpvhlw8/fP9f4gD/FXfwjnOSRmovQ8AQeA4IXHZq9xwOwTZhCLwcCOScV3iMV/EIPzA+GP/H8VH8hy777wJwVzxcmxFjN2BsSZDTV1wcxeXVFAUnyZyarkVSnMpMiTQXIlOJED5AleqYPIxfDgjPdRa7CqJMlhSTwrQIM0kqSfFDLcynZHhAFxt4AVnBVHLcCUEuZHn5pHc4fy/mvHqcVbk5sWXbItKJq11ysIW45Mio+gpXjnrpmlCHQZU83CVQ3WVJcRLAufhf2eLSi7wEV04WL1xu40nKVzn+hS3FuRqvLuy1oOEkal2qmKtVxGSOc5o4Pc3rL+S+3Ael99NTbocFy1kX0LM+GZ81aeNUA5azXgR3ZlX0XCiW+SXV71o9pOcMCbVl0eDa5D0tDKZme+qAuxZhLN7gWx7jSpAvu+9kJ1KG4ZNefqk6rm1Ha6LJ8qNcElsE7eloxQTDIlhU5hBF+7ztYa27XXqSK0s9E/9JAKG6RiYT9G3sSZQ34uUoGR+8jotlkV63tQivBiFlD6Uw6tLaqOx6Sz1+oT7+pJVCRVhCYbMGveKziMMsNyOBNyYb1SzerYt2vtZrwVrNRih2PaUt6S0eG9p4UUmfAZLjxVOcn6P0PS5c7psTOT5nG4hn/W229XruHcI2aAgYAoaAIWAIGALXGoEybdQszJLTvVNvVMd1pU4Nx3klc1MzZ7XODetfSX2bqR5MQEuLQPqRy3i2KaKtQgr49K3e9X/Y7bf/bu/Owb/GIf4U9/CeczWV9FqjZwdnCFxrBJ6VArjWJ2EHZwhcJQI55xZv4UPo8Rkc46fG4/QzsR+/e8zxVdc5pDBiJBkub1WMSyFB8TYuHte0mCCJI1YT1T5FyW8SF1XtKAUA5dlXfLLphz0VBblKFF78vidyXPzDC/GjqOpopbJbCy/v6t1OcryNDbr1Cs0QVFFOhwNZtbaDqmrrftSIeKnwLMX6Cnk0Vc2svr9FoT6tsSQY689xIUmtKmgZaakKPlbF7+JslocQCnlV0T9JR24VBNxSkCoBywJ7TyLHPaXvZ7ykr1L5/gz+0rs3oZYZ06ukGk5e7Vs891xcUpdfKi/KN6LMmFcq7sqLYqb1b7pPsRVhyqK06wnklpGNMwGYg1PbD1L1gFbvnjMIYvmbyL8XHiJbUYIpILalmpbtLcndakmtanK1QVSCXAfcqkgR1XQtLik8LP3uGXzT+5AcbblmNBCnpKiaj1RF+wKIEtzRe5YvHt3l74tgxLJ9T2Kk1jM6UajtUdt1vlROpg7M17fY1kzrliK4mWpxDXzRkxw9NOOD2SBRawnweFWxQ1L8lOX8tkvKMrBS7iez5/bl7nk8s1hra059ekZJj6/01eleVvzvZXJVZNsLAl0VSsXPnm1bJ11i20Wj9pIxwlVFIc4gbb0Hzeqleh3VDJd6zRVjlVLEs9ynjBy/XEewtQ0BQ8AQMAQMAUPg5iAg46w6l6iWc6WYeh0K13o2xfiuKs3n6cVS3XBirF1qHvlU7FaYHVkyInVM6zD2Mfrg3wqd/2o4DD/f7DW/gkN8DffEbuX05OPmoGtHaghcKQJGjl8p/Lbzm4xAztnjAV5Bj+/G++kfrR+P/zj18W84+Fd964Euow8bjE1Ri1PmV9R7QhpNaVXqzVE9xSshW+g1Ia0kqkyvXPlkpDlqtevYqqL5Fr62SOstP+bFmKCoxcXTDSywqfULc8wSjd9f70naWuEctR2EGCyf0x8U4Jk0Kq1TMtmUIF4W+Dvpt3KigdhkZOboq1IJ3clrmr7IhbykqmAqoleMJJb8PK02Fq+ToyEfVJm9axkhQZsaVNjdgZ6qHCfp+ARyPNHT/IwXj5x/r8p5vSY0GKFBCgpXlT2sNhLc1LS/RMWwevXp0HS21VnqoWXIWUnqOl4sNh4MkuhrG8d5WLn0qj+NY1XOnnyQyu/F7qKuNRG+U4N4YFyQ48vLuCr8J/vrZaRAKUuxCYqKx5JAVxK8BG6kGyo5LqqUQqAT3CjKc1WtKAQVw1mJLkGn5T89sUlNTCJabP0rhFJwtC5DCHa1f50EbHtWz4R4PflJ171ooZksVyJ4obYurah5IQw26gSCyhuZTAwBbmDtAN4HVP28Xc910YoKsF6j5cpf2hBV0nhJXZ/Z0c/4g5DYpf/NfaP0t9LcUmSz7L+Udp3SU3ieOTK4U7zHKynOgJcowCOYsVQ91qkMZ+CERTw5byIpXoNjbCdxDz/RZ+uhT0dR7o21wGvtC+c9d1veEDAEDAFDwBAwBAyBG4lAtfgrB6+aExXt6JhtFvRMIpBJCaJiFM7nOYaiIE6FcdV6pc75dcLKeVD1Iw9jg/pe5RXikNDHDUY3fNPthT9uD8I/b+4d/Grn8Q3cFyW5keQ3soPZQV8lAkaOXyX6tu8bicBEih/jE8P7w0+hdz8Xh/EzMaWPuOA9C5lRJR7bUYhx2qkIUVHSpeRBSLsOKleLYjPR21ecPQoxW2vyFRsV9SMj4ZGE0CApx4cp1c+3mRw/YQqhQ5LqoSy2HxRLqiWK+IVTqhlVJe4Hj65fiV/xJH2td8RKVHJYMdkwFJpwoVKnvY1ygdXQuA6KKmE7UWtlF5o2V/1ZHK0L2Lai7C30FwuzFk9pBBa8VNK3qkLr2nKaC2715MVUCxcuv98eJdFzWQ7+zOvwpC3L9oIk8irbunsTT1pfDl/dHuQlROAUZCh0tyh7dZA5FbEpywW2Z0+lMK8ixV3J2GloOhV5PPWgY6ZAsRyZj7wGRso3hUDfoS3W45ksS+YChfU49GjmuMdudDzyjsDWZOFdCvfMAYqiGi4tJsRuia1Ubl/F90qO18KeQuQufMhle4Ucp8d0FmsP9Ryv9k01iFctW2b1eM0bLSYgRdkspzr5gdcetQy8LPvYNjm+je92X6zEcMVv8gCvSpyp/NHszS5pqeUfr3v2DyXI6UOu5Dj9rEicu6Qej2qnon1N7yFTC07ktNjaTNcbz+2yxSg1E2W5z9pz9ZIsWEz3Cx5gVRrxaDzGrCWg9EKq5DeJbyXFpcgzyXLaesl9pvYLvaeM4qtT+m/ODB+WbJniQc/2rfeeeo1tBSTq3ehGPsrtoA0BQ8AQMAQMAUPAEDg3ArtFMfPYsY5t51FtWaMIGaIfZQQbqAqnmCMzs1FFKhx7RzfoOK5Mklyx9+RyFHd1456MZ2McRWgUcxydxzebNvwRGvzCndfu/DsAf+5ec++f++RsBUPgFiNg5Pgtbnw79fMjkN/KdzHgk8Px8BPD8fCP8gZ/22X3sexz4zsHFZ9B2gAAIABJREFU0AO4Tej9BqPvtWAeSIwre0SClv64+hDko1NJ86W/+ETuCd+har7K2KgidLYTUOXmbb6M62BDCZ6qJtdIPLFW9agb+fZwA600tPCmtMFY7GzEzHlHfyibV9JQbSaqSle93yuhpkTXROAWsnCLVKzq3eIFLdY4YVb2qiWGEt4Mgmixz0J0lvHWrJutQvX5oHdS3E+oOalKh8uJCippf/4rSTm5hrYtk3XETBZWuwtVdnMkWbSqlbQUUtOLr3T1PVeVrS6rqg31xNam21akV6W5E8/k0oanoKgq3u3ra/u3XcroWQO9jcvp67Qqcs/G73T7bKmMVXhyir+fxPTL/rsMg0hfJmGq958pyFI98asFS+mDUwyEDiqVIJZPJVc1cFOLPc6/i+d1UZrP51gI1WKrUttC6eBq1bEDualQZi0iWslpvSa1xGaajk+DL3p9B9SiurWmgPrl5z5Oqh3tO7XgsWaBqAa9Bk1Ot8XSFua818BUc2C5Yt1FiawkuRAWhVonz/jyHAi+eM7PXvO8pwgRTruU0o7yDBKLlaUtjQac1P+yPmKcZCTwxTM/Hdwq4YpyfJe7e5wXMVveEDAEDAFDwBAwBAyBq0VA50+7jmG2CtQxrb7maXrNu1PhAhcIhfSulp7L+X4VxslYUP8g/2gJyWzIFp2sLwU7h4w8ZtrxrZHxl6u97j/5vebn2zvh3wN4073uHl4tarZ3Q+BmIHCbWbWb0UJ2lNcCgfytfAjgjbjBj8XH4/88bobPxnH8aNM2HUkIqsNTk5C6KKo9EhEklMaRTyySLCe9wfkApRqcnr+a0l4fnko0lQdqUUgqkV6tAOaidepFfkspiqJU1bNXIrOSYSROJRJPhf7g1E5h9FrcJDU6mBDL3uK5XYg3JVR1e0KULe+Q1eJi4TO3LGgoh+E1A0DIuur5TIKKmQNFwVmVAEImsiBlUexWAn4iK5kpQM/xqWzgaR60elufFR/Z8hyvV9IinlBJ57Musid5jnOdkRL8J7yeZMsyDRgXaYiCfGF2t/3eFxkBVcpapdl1Q7mogNV0WcnxQnZWAp2Dz2rZUoMnYme0CBLUAMd8LHP/WliaK+lOIn5iohdAyLGd1D3Xa3oms6V2zpYvSR3+1m0tmW8lK09e7k/OEJg78Mm7hMJXVMPVPqUQ5dWrvAZnpqKgVGWTIGemC7NYwqw812WKPUvJLR2zmNKfyE5Y/r44vqrEP3EvnMJPJ/qFliau9QVUbbNAeKEGX/hAbgXQnEwm1INcIldajLd6PNKfXPzLS8prrV0wAanFXi9695UEWll5y1x/DjRQOVRtlYqH/Kz85uFGse6qqbk1O0AyUGpubyHWObHaer6UjJdasmAOctWiUXNfliaVIK0G0+rvPHRmOj09wHMtHuF2EIaAIWAIGAKGgCFgCFwagTrf1CzSeeQ5Z/nqyFCnk1Nln2JJWEUYmvUqkoVp/DvP9StZXgVwtbYWx3Oc97tWx66c19IetOkb+SRpTuHcMAyDD/7r4TD8cbMf/jlewa/gPr7pnFtfGgDbgCHwEiNg5PhL3Lh2apdHIOe8h3fwOkb8SP+g/5/64+ELGPOnvAsHvnEY/CBKcbQZMYwY/n/23vzX1my7Cltfs/e591bVe/UaW7YTDDjBBgFCgIIiQERgRBQaGwUUQ4hR+Avyx0TKL4kiBQgKGCsBOTRRZBABhEgCJMQBh8aGgB037/lV3aq69+z9NdEYY8615vr2t0+zTzX3nvOdp/NO3b2/djVzzTXmmGM2xzQ2A8EjAosE6TqBsQaWAZB1UJYguhLjKwBJC6zpjwkWN+AXEWOwIUX3G6hDfik88/D2efAVTpA+ehJ3uyyJxioZSIDLJBR6yCiwIF+fptejabXJWfCCfM62RZ8BgIpAbHZIYpcEWROhQ9bmXhHQnRtjh4P5TUC8BwscaXFTgtwO5A0oWWEyCAOIA9mxkmxCLIan4qt1ixRpiZq5sAaQr4HTkZzKbL0bhs+NsipEy1zver3LbpZlCWwKD0gwvmAa/ChYOFrfNEX6QsxW3TcDgya9Eou0ckw0AjYzI8NkWhiwAiCKgo0ERlEc1wtoWoAkA6nqgSK9oXdlIAbBF44B/43tsAKOV8xgsLBjQZ4w7s8wUvLV8X1QtKnbOQDO4TrLsXBiNjIOb+ztzMYuzOVS+FZZDkcUdMQ7cKcAmwSJD3s2l/kg+FuPawfMXdOcUy3I1NSvX7Qb4zxVDKQEt5zx7MEP9lrWqKkHOj53jUcvbMlrw14DEGe/tmk+4tHVx8xUsCKY1MXnIFj0tz34zUr1dg7bBG0nG6Y2cPkkyw5yWSW0JZngKKppQQFKpRzSTG0daz8wwcO14uT2IKI/MbrMBYk0j7XmWE+FQqkFHPdMJh9h4xcNjodN6ZoFyjNhMZ/883o63rbulLYt97rtnNuWsoeu3Q+7/8PO9nd7yDustemZNqsi1R5T+jTeYPn897nm3Z5/7YoOmtw4QsK6eA/P6LZBF76/6V1v7tfFo5kBu+OtlxPwjqdth20tcGsLLIf0yjCOofS83Tg73M+HfyufO8iy6RlvsyNL59vrp5w7L6/s4ZFvu8etrbUdcGEL0OUNA6D24QLZLWuTx/6zzNdJkp65lpiRZXJWIeVXkb/YpYYamPJ3sWfFvhKEPPj+AMd3wy5djVdpd9wRHMfeBpKi4zimYR6Ozb79qf6d/Y9fvdv9SHo3/UR6h0U7Dxe+/nba1gKPugU2y/qou3d7uUtbYJ7nXfoofSW9HH7j8ePj7z98cv0752n+Zaltv5QAegOg6Oc07KEnPhiwgwWxgEBFw9ZlAML+IUaSM3PUnvZkw68PBAxFPVwHrS59yy/4PGOU+vayAEqxAezdJY7NnwIEAlqCZhvqSu6oHd4fd6lD4T1oURtLnMxPnuiNJ8dFBQrnNJGNC6kV/LOzgIYKd2YfNwB+rudMJ2U0TV7KGAAQV5FLMWqnhCJ4mUFOlr/LUAiJ9HcufnlEM8vGe9VQB8LpveCJsDF92AKgu97r3nHInd0DlC+s908HagBy8396d2WHtRQ3dPZxpPoy5ETpDJdzse1MYBeTGI8AhrX1BLDepVumNu3SFQs/unIIQVPDimvmu9TZq8aipvhpC55n2zt4781RF6P0sVowpIZjO1idDBabrGF5pghWhH7R+eu7Tc4hk13JhTudSe1jHXbSCkR6UKjBZywICQffwHWFhLJkEe1dKNiKf2OLwHiAoTKcf5hzsKX2nJrnIZCB4IjJgxT5KbcpLhsSYGM7lzrkXqfA5LASWeWkS+eisWR2GwNc9zYZlpONcuxnbYoRIJt6rB1KUZHmu5j3DesPFKkaAddee8DmHYNTWntiH69Z9bU5ehawq1KAzQTaBXROKccp2PwL+qnapMyJysQEG+lrQP3ewdYEu1G/UWhvG6clh+e05sJd28ND35dbUA6WG5n7t9Z8uAXAubEgM9piUbD6fiNBsj9l/J6erYLOcdSVY0QZoC7Z/W6bj16fN9EPYabOEpTPQTf4HyZLFZ9ggRqff7pQG8LfMi7/uW/c/7vwNavT6jVxPajr6/otIzkHJ93mymqf42qomxbr0UNSbz6N5tiu8ThaIGdwnY7ZPP9sXsb5qMwnW+NsbeMoRowf2XEsGO/+gdbt/NM0acyD3Wp1ZN8jkinWLYCIL24/3I4z/FxW2TBn9KTlefypt8ytL2YI37Tq5FFiB7lFXXopJGacyAnK5658WR5U9O+cac79pBN1LFuaGdP2y3qfQwOdPe5jpjF92DXtTz979vxvdC/SX0xfSX8/vZe+sRXt/GLG0HbXN7cFLvUq39w32p5sa4EHtEAutvlx+p7h9fB7ptfD7xuOw/dN4/A1AOLUFEeRM+zJdlM6dkcBntvPBS3gkgi1exq8T25/s5a0bxbtcDJFZ2gGQw4BYHivqDlSy4aehUrI6o3+srPNXY7GcuIElDrTP1SgC1IqLGxHDV8LghAwd81fgeMsfIeIvv3l8TjPZSvCwwjaeIAuwwUtvp0SR5eAVvaDS3bIUy3a9QBfFkVBHRxHRsgMHXto1zso4PrmrnGO4AnjIQ6a1uBBlK2pQgKh0GW1SGdswcV2wlkrq3nBjepNY8Fvyuc1eFizmG4CPPxa5UqFac4cGVbFxbzR/HGJFhYpBvOFUSlJlOA7YlGm96ECq9YpBgVy80qMek7HChyOIJI3hgGIudgrrq9JTTCaTGtHfkNb+Eba5awQYMvjgHpM2sQS6Pdx5IERjIm1kAKAtpJ1AkmtYzry/fks/qZmEjJYHiZt3da+Wb8rHPvIZn8Gx0t4VW8YAe/yrzi+8d9qvWyF87w/baWopV+PFZXUrn/uitWWMXJp/3nw63I33gNNl4yMYiEue35BPbUsV7FL1pN8tfOMSq8JcMnzM9wEuaHFyWZFOB5ycOFME6/g5na1cMKKLaBFy5lvCxscnifWkwk4WR7mHMP36X47OFtHW/cWI9iueXO/6t4u11TqQPiY8nss14Xanm/+z2VjdztLliGum74enrZNsf15dsv2AwA3CzCzrg1k47Q6uH9Q6vJ4Lm+p1THzWHsSZig6KO4htrVZ4Kcoa1grkYPiCrYWgNzfxe5tBbn11qqpcztDfRsrj7YFFo55ZpyT0KFs6TSoCD1kRdMRQHlKu3b3QbtP/9f0YvjzVy+6H0+7/Va089EOku3FLmmB+7hVl1x/O2drgbemBeZvzF9KQ/qV6aPp+4+vjz8wDe2vOQ7Hbx/Bbuqn1OxTSntnO0LOxEHPt+YV36gHlfFZbsBKOppcX9eDVuSbn9mOFMU2+xFFNUHAaBghpxMwSj4FBUuy1nS8VSxwl1ukMD+MCKpvDAxH4UL2N/XkjfEGIK/vihxE1hafVVATmuHGDCnsuCWz6jJg4Y3qyLf0YeLilzc1Nk4qeZbMhotsDr20MGwHZe170znn5w6ouvZ5LtpqgRH/nIxzKyga9O8zg8SkySvgT2V5qta/j8KSgzM3MVf1ekFUsbxugBe1UdN09s2nzW6X+fBCn1nbXA2dwW9KsJhkCAKPVkiSgUiXTiFLHUCy30bMzfLjIKZd27JMYoCAT+oFJ8EqBxs8M7XsvKiRbihqDn7kDB5srAvLK4JNdcDLMksMinU7UIr6qhkJwoWYnP+7LnpgTWx9IMtxHhB4S6fl3R/b05UtC0sASAyKhNnimHaAEhwct1m3uO+KXc7ZXjr0ocxvjilsXm9Nvz/fJBr/59eQm2s+OLBy+TZA9ubSNUz3r5iPJ1hpnNNxpuu+gLYuzV3gU5+k81QGrspSW/YCAp6oX0KppRNOdDn6fOvezJr32V5sS/0EiPsPtJN3nzL123kNgbWxftdr2rkBFIysx+oquRhwaK17Ift3fabtuKfQAlpnzc/IkaOyjsY2oKUJa4CfB4JNCcDDnxM4HmdEkTlctqoyZxyo5txaRPeir+KZE54BphoehTThWRwxIOZ3dD+syNDpCWMbPIU+395xua6cBl+UveOygSY3yoKfHWUCp+OU0sgaMkPXtb/Q7bqf6J7v/uzuxe6vp29LP9M0zSdbO28t8NRb4J5u1VNvru39H2MLUFf8dfr29M3xt11/8PqHx9fTr2+m5jtT13VT36QRAM1+JlN87I4JfL8pQYwWjtHDNrePsT3v+k5yWIsJcsAop9/6hiss9gXEbAiM7w/71B7bNEEzGixdRsyp0C4RBivMWMCtAoWdwvL25NRaxm9gvBpIB7CuAR5J3XAH8VyjWRIPDuZJC74UwstOC/eGniIXmKt3bbjtuE+9BTQqHOB15rixyA2s1o5JwRlhptCQNykQYwfmYp+2cSua5+Va+eHBPh7gpBrrzljnuoZ9ZuA6syOkBVTeHVXum55jqWRX1Bs0aWufb66iIX56kBe7PPnGmc0OTmXplRBg8o0rWdrRzTBpGDZgk+YBYDeK0mo+QZYIwDiDSy0CkQhIaU5hzvFXuLQK1XIjazBxzs4wqRV8Xsm+mD657WIFbtWFkmNhpADhVG/geuX4nqoPxWyUdNgMlpltsJoEfGp7ToyiXeqzDSSL3Yegy+Gcoabm4y4GJj/1KfTFXDAD4wYWVODEze4twXGvX5Cf3ke7g35l9CuMEoM/AEcuB6elcX+z/3AzuG1rx30iYrGXaNe8iu56990sq+J258Kux/25mFYmrfQEZaeM17l4R3WzCpoX/bP7PUcuNryYQxGv1fvXY8LZ5CzoPO6YOeQ/NdZbwldrTxYBu7NPboG6tS6+FByPra3QxKXBDYPzfM75Omn+2to7nUpAPeTu9+vv7ejH1QIChiWZmMHjHISu3zVmcsXgdWsFpuNarzWBUfRcr9wD1yXDS5x1FGQPyipVoLD4EpZpir0BC2NbnSRQG2bZDz2ffDXH+TPsGeodKRFWPoTvny41/49rNDy9t3ECj97cfUe35eb3214CNc/wP8q4jClNw6S6Otcdsg+mqW/+eXqe/sazL1/96NWL7u+ldyi1cnx6rbq98dYCZv63htha4Km2AHXFP05fSx+m3/D65Sd/aLwefkc7p1/eNO0zAKOHNKbuxS6NKKoIHelmoMY1ymFgQ6bsuy2+dOn4yexc5z9GDfIsrybArWNBUsgVCPAGJoECJPtXV5RTgXNA9V+TYYib+iyZYcB5zez0InheLVxAnOuEQz8cAB1kIQDSRVkIHscNugDwyhl2LVZztKlsbWB/YZcEjfpLG3E772Et4EDvIj21bFAMDFuZ5wQ5O2UU0BSwoGcBzzzwUzY+xVaUjY0XDNWD5LFqQZ00qOiPF420XHyKlaugpM0Jh29NjsUZRT7WHfx3rKeyWvayFQS0mIsRUKErbuc00yhwJY9tCzIwcmQo9k3M2IWuPzd/+XdK0wxNTgHjDavHijnO+Y7jehQzEgOUILkVrmShVoDsKF2E4rh5ntbgNNg05wN065zY3HYheGf7E2umiqKWwXDsfBl2M1uBvhM4f8EaEhi2l0NbD5s6b87ZlUqrIyXl8UrMq3RTZulbGrtP+LojmRqi4RVlkRR8FYBycyvcWJCYwS0iwGcvcnNBYweXzz/EjZrjKPQ1Kph80Y8G8u2NcObitItrtw71WCQttACn7Ryt08ONsnY3gfusWcCMsPUweVVqc0XTWP5L0TzPQf3wvks99QiXY96jeDj+rp2ryzCEE8ZyXQB0VW/4zkold2Gu3zQyBAzmFc+Dx7ZAnBtV+W1CpsxF42876Um3QATHfaZojT0d14U1Hv05FEX0GWQ1PyqjLstf5pjXKJHNw7ag577EZ2nIEjPpRSfLYN8oeUX9spYLCy3uKX+heeTzCc/lXeu1WODnyNdxpUg+Hf3AJz0MnuzLa/3R/iFnFOTsnLBmWnZq23AXLd8F4+bYp/mjPvXzFX3rKQ0fTt3xp3dX7V95593nfyE9738yvceinZtu7JMdZU/3xS/0ip9ug21v/va3wDzPXXqZ3k+v0vcOHw5/4Ph6/L3j8fpXTGn8cte3LKJItng/JRSTBlt4oESGwNe2LexRVt/bnJOLBkWJfBNarIrxKWW6MFFZZASOwChwHPGJ/rhP+0+uUg/2XQDUsr63pUhmSeHgTLhDKSCuMFMBhLNyOPq/BQKfDBQ3Nio+t4qLAN5AfMNf2w8W/eLQItGJiUUa6cRDd3kbQBeNn0/jpIIL1UthveEwvugCROImB/239B2dBWQ7NmebCkDWD/Xyc+ZE0ark0PIgDjZPXgzSdMuhMemqHwRVB6XmagJol5bnVQTbq7R3Z/z5M5SWjBIk+tQp8XaMNQxMHjnbMwpE5UT6WtaiCjiYprjfSlM+286MsZVMaWHrGbh3bc4io0AzQCkjk0eAGTBJFi+OO0DTm8xzk0XCBnWxefZgVZY8MT3P0iolcToy9PGAXWvFWLVfPpGYKOz7JYPcsgOgZb4YV2edsuU6s4FLAcpwJt36Yuw4bsZzMXo5Bg38WEEY8BG2k/hL6YwJTD9ozxuHfFbG0vKnBE/yoDhjqkzj9lJDxoyRm5nfN4HjDLpZ8O2yR3Dm5qXbCLz/KfM+AsUNip/nQJ3bIJkNBrx6BZjP/dwGjmOdl7/gPwZfh/FQ7EIA8+0cK78uS5nnf7haAPZp7sLgQPtDlsXn/2lh0hoYz5l1uRkUHF11H+4AkNfPc8kIcNa5VoMKgAxr3bkr+/039/mStt/OKZIiNqlcZutWcDyOVasX4nVIfILSpAhIZN0jcz8gfadgJrJ+mtSbj5ZnapZsFAje7ABoy09UgH6UfBztBwp+Mg3VgHFfDwB4W9FrszNgs8PzYQFRvqccqG4Dx5/sRKAXguCqrSuAtzmumJkgf9PXP4xb/HI8Nw33H82wS7vhXYLkaRxTGoY0D4fUNvPP76+6f7S76v9C++7+x9Nu99PNV5sPnmxDby/+JFvgUq/2STbW9tJvfwvM35q/ko7pe6YPh99z+Pj6B+fr+Xub1H4lXTUEww/dMQ3tkNJ+Tu2+TYfxkKv2jcyhb1Lb9UzHxsZTkfvNvb9kZMS0sLjxg1EqmmkqLIIUsAaa4iiACEBphKzKLnXXu9QBJeNJhhFS6lnerKdFF36IARZE3uRIqFAgQPCJhTRPfkER4R60aMxnMRTIQDgTJACHBSsrQEoulmKg/waOXzJqPt1zbiNNClxalyZhauuZFdQ/zuBMAJD9O/KIJ4DrgTEeGNhkFhLt9TEk5NjBXBWiFXskg2ALSRb5yAL4BEYXtmeWFaF0y1n8Tl/c18TlBrA5aWmfkkLR5XjI6MHF8gQqlKW05uzcByaVMCjNXwYsySy3DScoV6ihijmJuQxpFmxIY60A38Ai4NkOBq7p/n6beuMtw+JBgFwjNHBmz4NwhcETQTbvLw+SLFt/tT8Whf02cEmtVoaas+gK189bP2ckmJSKPvcFo1ykSm9nxlKXkISAtGTMNa5DLNxsgLnJIsXnqPryBgPj2RyXWrQ8py+8AM6nKswNP7dplufA3EXPgCyQGhw3aNrAI68PUKeM5xlFbD7WKLnfQ9B+91ZQ+0QGSfakGHhESARIuU+BQPpgmUPlzjEI5qbTjG8G79zSGLhtI9gBjXhWoYW69nqRYWPmyQjNc4802lPcsqsrFglA280H38RK1fMGqSprMgvP3r5mbMG9+w3Y7ehFC8gviq6J7yOWg0+kFFnpEowuGwbI3zFLiEFQTf120vzk/EJA1EyV1cSEBhzXBaHdNmtzdpj2BQ6Og2ZOW9VZvSJYkg7cBvgo7pwZAp9vEAN3LoAECboSrN+Y4093UpxljudaaOblmImfAICT0GHjderSVf/lNL6aUnuc025o0h4+zjCnaaBn/bPzVfsTu/ee/5nd+7u/lt5PP9s0zfXTbfHtzZ9SC2zg+FPq7Sf8rvM8P08fpO88vjx+/+Hl4Y+lQ/q+bk7fAaeIqbVgCAMg38/p0BzSMB+t+NusPRH1ZbEjbtLctiBsMhK7OwOcPeGmvteru8vq3K0IjIOlR1ACgDiA8SP+SooAcgj8BViRkTYDOTzNEcEL9Jexw7WZM/kFMs/EDqcsBgC1DnmSKL46pwmbXmYM0H2t2GXUHKZOMsYEZHZ8Qxxf3UBV7oPxlpusyr0Gxud1sM3tu2K/J2CRkRbPLaTxeLKszW7YsJCGtm3a+CcU4zyRRCFWI3kHl2ABszVnRricNwemQHEW+aS2saR5ifV7YVsyn3apNd1jgc4xTb6gF/5d2QWudFAAxB24VUEqZFsUOROxpsQ87yOh3JjmijVq4yp1IgOn7fq4Zs78yJi/5ijyezwTBHYdNwAwzrqlVieA4DyA9XZIQ3edRmSIVOGBEoAwPnLWmi7UTx84zmi3rbfp0Z8LJmSOKpVoVL/A8dMqwBGaN4+tDRw/HXSGC9YAeT2bnWlXAPJydAFNPKW9yBxhXmANovQIMpas4DOzNQCWcFjZ+uOzuLq1B3fOWgdTVDnvht8ITmN9k9G43FoaY/LsBW4M/KOI8OW35izPwNBy7RToXd5sbY11O3HZMxjmVRJYSgSxWu9jBos7g7BBlG66AkamRqiB/QjaL4DtEETPrPUgJRNlZLIpVL5LDhrgfswqYkHQBThuzXGaBVTaqQoO3aANlO3+KhO9aClXPRAzie7QNQ8YvXe4+nbI424BlyTyGVhCP+5XaQwXgoGD5PpsJ+Z28JNg21mwcEw5syavBZF8QNuvmi/5x/YXquUypQHRR6uV4lltTdcwmI/9xZFkLGUfll+fV84ALj6QsQCKnwibsE2gxz3Ez7xdRS7jUlgkhTxIBMyibcEWxxgCezwZOA7fGr/IyO7SburT1din/tim9HpMzRHscmAj6fowDz817aa/1n/p6kff+eqzf5jepdTKpkf+JEfd03npDRx/On39JN90nud9+oX01fF6/E3Xn1z/R+mYfvs4zt+dUrMb05B277QESZSeDw1KK7AXis0xTm/SGwBUcSyOw+LUoajFbfTTJ9nyd3jpAFRLrgBsDaUydqlPHf77iDbuUnPsCI7zv0cB5PR5qeMnwI+MEGfW+qbdFCe80J/0h43t3Y6p2Tfc3DYA0Vj8D0xT/A6mR1qA8VM2qUlL2Na4Tot2ADBu4F0+ozBfBdVv3u0dRsunfkhc/G7sgYrxF/dBntaoK2Vw5ORJHYo4vcup6YjH2DYufJRZ1VmfMqQIOygRgjG5kKdLFGXmFICVNk3HmX8JzBp4rgwHzaceBSODvFGUQlkbto5le1u0nVhOUSoBzQNpItlVaZY7Gz7rIxEYt6CSc75u6iTH8WM2SGCWk9yVi3gKC0dx5fnZSPvv4Hi+hUVElS3k+Lxlm/ATAVJIdvZNeOz2UudAx0aQyQMgDtAvNY8zdBvet3LUgtKNs8g+9cnxNlxwAdgxhOK1HrxXvOAmwEziCDYerQ05ukkK1trhGv4OhkzXE7OVWLwK4DjAyAl8cqUnIxix+v7aAAAgAElEQVQT0YkCtnsDLiJG1SBRdsRNw/ombFpcwnVg9M7d90DB2jVZmeoVb2QmWwBs7WGrLCxroYUdFuZ0RlbkTg0QgbXQixVQbZ8vpV2CT3iiiU57QauXYP8y+xwKMXxljQn4HQDH6H/khB5jq7t2rL1HzqyrJGDwJWSByk8to1OTAU6bpBQAXAvC4LMRbEN7n/VjamzOvZnVjWXpxmBvN9/nTkN1O2ht+JpEmryvUjzXjH1edwMw7gxy7he61IAVBXIAgEMA4sYQp+QRZY9a7Ulc4g6AuQXrS7pqmH9xLsq8GTnH5dxM+gJJc92Q2ndTOrQH1UVhlptJsDBojtVF849SeyBGWGF2gPnud2wz6GlOjhzkcQ8krFuVT5KbJ+4VxEphoXv6PR0lvpCJhIxs1MLoxy4dXx/pH83N/NHcTf9kftb8T1fvXv1Y/6L/ieb95peeZstvb/0UWmADx59CLz/Bd5yBrLxMX0vfSr9muh5+1/HV8QfHafyeMc1fTh0A0SYN3TGlFwJHBOBERpmAzwJ7GTPRUpYEaGCzfGFBtSfYJyevHDQCHYAjKEFWuAHhBxSt6lN77FI3gCmu9HZiUmBf7FToBixZnMOUd3RNJHTiOAQ/gmQKQXAwNvbSIyZwxgCJGBxwSiW5Ise7AFzO3JXnWwyoQ9xhQ3qykXXHOrbE5tp+UVMhwFZnAarcOwuwQhsWbFag+RcBLoEi1U8eQ8u+jim+OmOpKxv82hxEcaDZ71q0XiNDKmyknGkegHHXvvegEkA4BZc80CTpImwWlVYsIEpy+9I3x/Ed6FCReeg21OwjNTpzQrMx1x3cJXO6tJczvErq8yLvfo2lahvQZTuJueXFrJx16YR0+7wb09ADnAIVuEkNAHHbzNK2EDU1iRa7Xski0XOTxU5Sjt4zv61vwp2xli9srWFFlCTrcmoDomNW9a9via32q4O9X9Qc+kLvG4ZHtMM13OwruA8U72ADxadJxZ5dX5asQWj5gy0OXU6xxrkmIUuJwfCiE481pWheexCkdqt9XMfVQquKFZC90AuXBMwDiON28kOCswSkbnh+zf9zP16wd+V7u+bp6eV6nJ41vfzTG452/5zVIYMvG23/H9cPv7GsQmF4M1so4vdFgYH+x7iTH5JTdqxistt4sP5kZAorMN/LiBrZ8yAOHzuj1EdZb5iVtSpy9fP1gv20C2UQXg5SaBcW1Fh+Es2zRxvOHvPpdeJ2pUfdAiQsrY3hIstI4M//54XN3ceBPT8i8wJpo8bApp8jn4eAOAuje+0X23ecMMXrVq7M4dKOBD8S4Piwv07TDhluifWtxn5KQzPyl8A4S5ro2ah+rtrk/EUW4WnFhkfd49vLLVtgNaNHq5T7BsXvKNKAclThu8j/nCEfx2ARgv8999wAx5vrOWF5QjBmmke4Rj/XXnU/0T/b/7nm2e5/2X9H+hdN03y8dczWAo+tBS50yx9bM2zv85haYJ7nF+ln0i9Lr9K/f/jw+Mfnaf5VYxq/RN3Z3SxAdIeUtiEdAI40k0vWVgy/7HbZpsg3o3JOBIOMtzC/HlO7fhbvAiEEbOjIxANDYxQIAZYewPBk4HgExpn2iOZvUzo+u2ZRS0a+5970YM2JtQcGyVzA+JjGfkwzCq3i3/2ooquQVoF0ihXykTwD/u0krwJ6lFQ2Z4G7gLJzpjwdfJkGfsriKmDgZ9Gy2zVva4EluHEOxuHnq5swit4udkanVzEo9gREIrhswTUF5+TUVgB5dn6D/mQGU+soEOE/27hl8NslSaJuOZ+YkG5mUwvPMUA9bAgRHVLQiTpEwnCYjol6C9Dh9MK5fk3bmObit7imAMWskxCaiPtSe5QMX8YmjIC4f+50Wp4QNFYyg6aEJ7Jmee7D0l1eIIuyCLiWs8stSMbPdw0ZXgCwYCfI7ILSuaj1KqUV6L1532ws/phtUkDSkjlSFwMsz7YEPU+AOEPh16GB20b+4/l+mXkRdZujtqyz/ZCTpAgI94ZQ0dI4pkRFy0LPAMYh34W/lFUBU5yFU11/VgONY2BXNKtzq64UIzxH0CawfkNByRt7ivcJBWHv2a2abzeB13e54MPOxww6dwWahVXqfDnjnGb/XZ68kkO4FXQoMilZAo5jZv1ObsOz/YlsdHsnjF0Ufi/23qIdEeC25UX1LVgCObNkYZ+GbpAsnNtBL/TsfmkA4wqzVlOAsnLJwRGtPVoaDIgPNjNL0s3yi/QV5kafWgZIdXbWfDZ9dgQH1n+cxfiw8XOnft4OepwtgHEKqTSmvFng3XwgFTWHtQfoh78iz8DZYJ2FEaBfm/oDMlQ1fj0JzNds6pB7IXOXogvDlYG7UBDY/a9a0/y06bXmS9Lx2HzC/Uiza9MMX2OX0gAGOeY2i3divlmWHQoqzoQxpcbXChx/oLLV4xwbT+GtsoRP8Bvd/zeDrP0qrbWyDjySXYHjIIE5FRCjGCA59tNgj4OkpgzuhPJrAMrH5ti13c+O3fh/Nl/d/dfPv7L/2+md9I2mQXnv7WdrgcfRAhs4/jj6cXsLbaT69FH6avql9BvHj6Y/Orwaf1ebul9GsBNg6A6/AyP10psd04Ga06XqtyVdS0/aSGTaCIhN0JPZjL9q8mMHiZXNwb9kAMqZtJrwAOYAjoMdjjT2owAK/NtZe2TpuyeIJkdBm901+5ZMD0hAsKCOwHGprAAIh474RFYGwXAA5MYcp7Y4AS9RzbEZj2wx6ovT0dDfLJeQP4vVBQvDyjex5VoC0+Sz6G8Bzi5pve2ch7bAvcBxomkrGx3rSX2T0dv6wCrdMTqyxkgFIzsDCzV7PI+fmNa/Co7nEaUnyqm/kU1ev3EuRgvgxcFcB8j5t1VB0MAetwcVro6HHjD3bCxnTXNnm1sxXasPAKkkGdbSBm5n9cwrpMPKtFqAKQAujRcXqvrh/MhYYm2uiS4CqmUHIcXZ7AMkSSm71WPNKIU9sSkXgb7emjrYDdkYfA/Wmn5K29fLxboLtgTH4xWWb/ekVx9n5lmjOPCQZwO6oRGoTTCP1VrLer6jHn+TpmEiGE6yHsdrr3oXFigqm0wHbDlaIOB5Au6WDWjgbJ1FgE1X9gJjpvUD4ZmH/TwcIL/s/reNW4Lj0ALOl1++KcCxWvL3Pk+ieVhrxvtUFQQdnjBM2gwOUwbOQ3pnZmUVvLP1PxuhIsrkdyMAHl4T9sXJ8QUzF1BOWZb2QAAtMs9DAqSyYexd9N8uP2GyLqipAvuf2e3KhvHMG9oxniVQvBQ8lCxFN+/4V0FdOy8EeC2auhIA2cDx+4zV7diVFqDDMLGeifvomSluwU6QZlibCHYSGUHMCkIh4pmg336QfGPt3PmciXO7TMro5c3YSyRIw9mK47In2ZCsWOcMagL8xvxD4B1geUojyFtwk8Ak595SGayeCguLAekwzWTM4WhDtlHypFrAApzxnQs5puRrRom/k1xnY45LalSrkAmc0reAz76boUXepe6IYBLkTSF1CtLI+PqT7vX/3b3X/uizFy/+8m63+6nmK823nlQfbC/7aFvgoX71o22Y7cXerhaY5/kr6VvpVxx+8ZM/cHh5/MFubH9V0+3fm7s2kTkMYBxAqKXRz+kI/l9K7c42I4jOl6IoAEypQ24RVZf72I1d2o1t2oGBkOZ06EdG+ref+7cAAItd2jF9HU4rU9a96CZ1Xotje5I+TeYEKr6LOaUfd2rhSkpXnFiIBUZUaNOY4tT2EwjGjSBAcWxaPcoe08Wd0OWvWNEVF8zhCiB1trhtT08QL0/xv3/bbWc8vAUiVHwOqLkRwMmyHfFZPPCxdmb9WWRU1wzYAsuc+1zDndujAMovhRucjh5BurDJo7Y+RTSL9InpfDtjiuBullIpSKSI003aEXhkZFLF+QgmKrKIDak0zX0e628GHHGNnIJvbcgmsnaKqiqUEYU91nG4Be7be42B3AW1S1MzT+vvTpwf4vZWj4D2v4DkMwv0WsFeK+ypiEIteeDZJ5RnsvfwjIDlKIlZKDeN5mg2TuHBh8+Dt/UKsS0E3BVwLq8HFtihSjgD25bFYIRtAiNkEpIRlWVTkIWEraHPHIZPTVJNbG+tNjwnwtM5hmZPl2WFgt5nXqsW5650xM2a4z5tb4OZz/ew2uyzGwE3FhTlRHZhAGPzV5NE8k0ZuLK1uUx1rOcO2F7wDi7LshJeWNrdcvVimyOEtnb32CtrNoCZOiwobh2wdCXcJJ5Lnaf9PhKcK4RAAN0e7hDEr4Fa7Kr3Cf1bSDl45owfZymSLvekQoEhy4gJOxq784B6FTUozuN9feI1Pavugj7aTtla4FwLVP5PkT8RU1y+Rjoq2Jm4n5B9VzFlZQphL3diALM9tHkU5l8M1XGcdyoArmlW1xRywLwA7xYcszmJWYHYPv6Os0haJPIg1sRC4gaOQ9cC8nPwOwCW64xM4Np2n090ijjPxCIlcRkvUnwy6iW2W3tNTiZgiMUJOMwoQpC2SaORznbTLu3GPu0Pfdodm9QflTH5uj3Mh/n4s03X/OTVi6sfefHOu/9z+rb0M5vUyhMdk4/otT9Dt/gRtdL2Km9sC8zzfJW+lb7z9cuPf+f46viHhlfjb2im5ru6rm+bvksDtabN6WAKHNJIFe2nNECDauXOlFGEPhdsJMajxYXM5KnNzHEV4YQ0i6XYv7Et9OY+GICJ3biTfAorw0MDUFrj+M2Mj7A/DgRMvZgVYPPq8GRgENgS0xPd66A4/mIjKNkUKPohOFL4vrbLU3E22wA6uBYgxQUL6rwJPT1nCWIUVfs3t5ce75MtwbV7v+lten/3kixYG0eF0ylsYwUaPaO5Wd7Fzlkhvjs7MLMWNeoX91nTUS5ZFF7QkKcSCDRpFpdVwYaUDFzXMDewnZkiKqBITIgonc0PS2HWHAQz12AotrdDUgLHbc8Yus46xV/7BF1sii7vGUzRgSxuVlnAVwE1pnBjQ8z9tOQQul1nckz+OTbM2NTi31Mayfw0cMnYlXxdjg1t6O/ihG3JSaez03A3fZHlYF2HNqzbVo8C6w3YgtLSF7AN8MSLcIIpjl+l3wupdLasryfIOGKQRBEhk1spMIg/pVjdYj6bgxFzB2yOKYhU0vDva4FyedH7nuiPZMGmu4zAc7fIyOvqAeuyKHYoGZA+ows47m3nrVrSwq2jw50Ejl/0+sp+WbWr1mVrl60mYuSQrj9DJblk9syPZPUSVYA/Mdf5gxveTXEDBRcyGG2jtsQRPJvNLI5pmvtr8/astWCBfMq3WMDBgDsB40Y2ILO9sM9zzQOvyeABJAKAXszcpWPOtNGF3bed9rRbwLN8ZRVMGstsvQLybZqvk0k1mlyjfU49cbPRp61oIDbsEzPTCsmlllCTrItVLMyZoD5l3W7VMT2tGz7lke9aEkkkEUP/gn4HAvIAy4MUJMk9JVDLverTHgZP+u3PrX1LMLx4zcu1zVdZI9rk2hbytbG6QLoN/4MGOciBLExO0ovWr3Gc0nEarlOX/lX7rPu7+xfPfuT5V55DauUXm4YL1PaztcBb1wKXupVv3YtuD/z4WmD+1vyVdEi/fvql8Ydffvzy+4d5+De7q27X7BV1h3NBlpdlzTlLyje88vnNEeLmmhWICnvYnCdfWEqRN9+A++bq8bXt5/FGrIj9Gilb0gpH8bOOaY4GjDvi4XvinO6rTRdT5Y+muUo2pzTFKZsDGQTTFKdeMJ1KA7cCzqjedwDQney1t3cN8VNN6ELbqkESabz5z5oTK2Bhc24/j9F25h5Z6sa/P7cknn7O/l1XWzm5mcDt+mOCp16QMXu5xia1HVUBigyECjutGFqpL13+deo8l+/07FEWyCdaZK6HK1vQCNf091HSBv4Vn8DmAQKKLaSOhFxS8ij74PjvOU3TKDkVP4aMXmixW+FD/nUQ2YHEAiiuz57CnORmNmwgAbaXnwLaRK32QLUsszePk1I7gOsB0p+5xmijzEBstjfayGqjayB5kCYwtfaLB78e6elaD0rEC2sw1rjpKOeglQLa0A0nMI6xdGwS6q+mYbaADbd90qUFMI5Ajo1R9xeY3g7dea4pA2W5PN297Qw8KWbeVhPZBg4/W2OcXZgtDW4Azf4b0N0bwWXWPjwbobvDuCq+zh0OPj2EtQd8/q9f4abnLxkmGU7K8ggiHzhmW+xJJReVpckuevoQrFga5ntsi84dmnFz8y/tEZdMeuolr87hYtny0y3uRam/tdCaZ9w40M17r9U8UeFZ1pCwlHouB7mYsQPcIozQxgEyITNdJIS0b3JGBd1lB9F5HZerc5B8dQg9YQt22bjdzlILyAdBvSjNAmnggyUOtRVIMqIoEey9Cgx20MdnQeViM1kyJrgE7tfAbvG/K8fNFptswGH/QnAw+2xhSkd3w67l+0/6/pYKZ6rnxZWy2iaUg4QE6A7Fw6c0sGaS+RliF9TyT9vgeGItsL4AlSLveSGqsouKDyL5RE6lMNZ9X5P/Bq0uZnCmmfv2d149I6Mclv44HdPr4fpls2/+2bMvv/sjL9598WNpTD/VfFvz8ol1yva6j6AF7uEFPoK33V7hUbQAC25ep+8YPxh/6/X/9/o/68b2147d9NyLbKJIUdrNqds3aRhRRcIXCG3mlOkshwq8P7j6cLHkDuHX2I/cfNjGwjYDADvAPobOOM9/EPPr7e8OpF5pE+utZ8wIezUtuGJHcStn2u2UZBj7hDrXPf4yzbFLDVjjBCsMXACj3LulAscnsv/asVcPtaOKUwEY5y80xsc076ywDZxN0+/EBQEqsNq7a5oGEGOVpelOaHZGa23yJcCuNrmLed3A8S90Fpwwb+4HjhOcu4X7m4HkxYsyw8ELqq2A465JX8C1AiL5XYNpCyBDcIgj9FJt9Fx32dKKw2s7nAOHVxq4NcDjTrRg/BpsxnPlkm1WuNN45r6FLUVDPT2fJkPBLsorwRaMKoY4HaBpjk2vZFpy0VDbDN/GvBUWfoZdxYJerhtuKdEZiA9Bg7o5Sy+SeFwY41SgAasYUk4GkKOgJ4O0rG1RspIEQBkz2deYu5gLIsH1iMNpdQ/ZIy4NWbBH+Zx1Y6cLnODua0D8nR56dYovz1wFAVeDT77mGDgeJFVYboJzWosGCrE5MN4NLXUzUVgK7CcAg1ftM7HETRYohzMx7i0DgDUqUKtih8BryUpCMUPFlup28flK+x+/ysHS8vx1APW0mW4KfUQd9Nts0FoHZBkAGxf3D7OEhXnlBt6/q2PT5u88xCLC2arlGgjjUTW+6iChbuZF93Jgy59hMc7t6JMxTU9veawDXOfsemykhepL7Otsam9oVLqh/TnNebUtvo1FhSO4zqlbFFXylA38jhzn8yBFHKu0py5n7G1nXQofmXaf//YMu0IQwOHwg4/IxCSyJxo+SlREgJz1YrMckYC8sp5YkelsCBYzqR5A1QjLa+KqZTlt9JMxmK9drNDtlswZ+prW6uPbz/pC/Zs3+OZqubA3C+Gq8rm+j0JBJXiNwKKKYisIClZrR5KN/7J2hNc8mbDP0JxhTAprBcer7TGiJ2cZP1Hnv+wj7Zlp35d65dbg/lqh5Egcg5oDAscjEGkvq4sw0KRi4KiPNcCHYCYs5CRVDHSCB0IJtzqoxewOa1630r5GxOy75SJ/19F8/7XiDR6Ib/Wjnemxqs7RaWBUHpJ8atmwutaFJ0Q0k4n2mL+qmrbIwJ7T7tinrw5fTs2rOQ0DfCHN0inN8zBP/2pspn/wta997b9Kffrf09fSzzdNc3yrm3p7+CfVAne1hU+qUbaXfTNbYJ7nffokfX18mX7zqw9f/9Drj69/a9em72q6dMX8+l3DqDqLLSbIp8SUdtsi+UJgXoizL6MLljfIi415LvblLJsHMpfezFa++1MBGEdQAT8dGBzzlDp6nQKBWNBU36Ym9amfoVsGGZUmpes5tYfENC0VxNEiDVeXbAxzOl2SODuQBg75pu2YVJCT/Q4gimzxOQ1WUE8yKs7OkkNa2L4xMdPGxy2vn7dvt1lO32Tfer27t/d25GfUAjdswm++44rG970e0cABc1RPTj0BeW4bdMsr3L6FiQGcVXCSl7wpdTc+0/J+p8+7rs9cgIao24ln6xpQs4XP0LSMiG6qKCKzTF7vaVd8k5clkawpVDAzAMoOBtMUKAOI/2kauq61LtDf0K8MlPm/7b2saLM2ppZ0FOUFsLmlDAdAeKtvAFvFzwUiDcxuKuyvs0x/k49ytngGh/wEX5OWm6IwJLztPd0b7SIJMV/9aibxae95/xZAwzdW9xr2drDASV1LtT3QjgUGsS1bsdc81MGIsuX3EZqLCGZksgCoCMD2KO583KWWRaVaynntnTVFzMTqUZh0Cgs9X7HwFNl7ktcJWQBsN/8tLeCg2UkfLRrJ23fZzstW9i4us0tnUOotF2e7r23AFSwjw8HxO14iPx+Pt35wpmUgWxazWm/O85Dl88eCmOUBqkfJ828RFIK/gAwADzqErnCG+TQoMXwNXMe9kb2GdhR4bDPECrYus3Y0TWqaqQe5zEz6nTLmhMJ/J6tEmD7wW8Uer3+y2IzPBzZz3UECx8P1l/1Hc1WufWrFTe88+rlruuf5ug7v2V/WgWD6Qg7OlTmIgCBqNKjwp2fVIOBEKQpL+xjmo/lnpdinurs8rdt03SRbMTHeR+R76gEjq72cX2bNkk3phec0ViycFtqiXNUyU6qio3oWsZDvOHEuMZKP+BztvbzgK2hK2gd4uUnmJ8wodqk1nGs0g/Vtmjhnp9RC2myWPGOLooHXsO0AyS3zjLZB+4nsW8RkjTVse+HGRPu7SDwrUnAVzB/WAouxh1FYjBiLQZcRHfL1SgApyFxwjOd4KwDKIaXnniWrekqofzWiyC53XjNiUxyjCBJrnLa2Q/PAWzGaZb06M+jCuqr5tv28FS2wQoDQandzcK/2sGRffSmm2SfBDXIrKtyJrAzIoiLgPY9NmsZ5GOfpp67eufrxZ1+6+pPp3fSP05fSLzXNKiPjrWjK7SGfTgtsq/rT6eu3+k1ZcPOb6fteffDqPzx+Mv6+buz/7X7X7z+ZPyYg2nQNGXsAI5jOGYpnxU2Bb3guYVq91Q34mTx8k+ZWCYHtNKY2O7Km603wCE5Zn7p5l/ppx2rX3QEMPkioQAO2SCUUBdIMi+Sn9iCGM9TxxdQO6bq/Zqo7C9iguJSBUWT3GzCewZ9cNKckEyzJfZ9JM20X3Vpga4GTFjgBByMIbUf7htbrBYmNK0CoG/u0OzxnfQJhlFZU18B0bQWNt24TveA80obBBrvCNgIQR/Ajn7CQoLDPs+buIn9AtwtgKuVWBJbzl7LWCOo5m1xbDwQUnZkv0Ny3oY7auJXUpt+xr3hO3rY6eJtBJb2DrKuD0a6H7soLiy2RHe+AlboloHsWbL5keDMUWoHjKgJVrm7v6llJtrl3UKvenC/kbjJwrRR7ptUfAZADHO/JMARAvoOcF8F5McIVXJ0knWIp7PgcdUo8kLDeFgEQyQ92MsKrZlpgjuECC97kqnIK1k2GkiXfgre4xZtfghkKEheJorjxva0/dWwt7ORbXo6gE4CpAKplTAtcvHSrTOYbmJecyBkCtyw1kwsxSWAdU47l42MOHE3cyF7eVJgMcAf4Wr7nNQisyabQ5Cza3EF5bwNkp8UApD9rZnKHlxf+7eP/bluzG5JDrAtPIawidVPqL1TX8ZdTIy1QsHi902fMY4iBRwPFYec8C4P2r9jGBmA5menK38yFP1nUkxZ08R5lTsXx5g9aA+tr8J2PQ4e+PThTg+OlPWRX1O2W7cOaNWXu3C1D8LYZ9fS+l/VQ8AowrkG5GRzPUXHbV3D2sgYJCDT4nRNUrZBltjvuUnfoUw/bfugY9PJ+qeeoOjNnjITYxgL71Upnkl3eO/XoN8D+RvJA0SvP17A1z+1vTkPIWXoFhMyjItuuEmpDdtp4dUjDbkgj5hckWLB+GTmMyDtlZyyIYxUetKq2ZrtKpGAJjq9boPp9NoD86c1bf+NsQSlbB5C8J2EFfhXqh8GZ7fs+HabDh2Ma/lH/vPtzz99/539MX0//ummaj55uy21v/ja0wN08sLfhTbZnfJQtMM/zO+ll+jeOH06/6/jR6z82Xh9+dTPNX+/bLjV9kw47OAXuYMsh50aX1bxzxaUAtWypkJ/WQBH45MIzYipAugR4ODUq6dChyBlY4/vUHJrUXbcCx8cm9RLszWxuMdkMnMkIifQtyQTirzZNOIzMiauJKYepA1APNoWK2DjDj0U3M1BSqsnHzeDm4H1aI2K7ztYCd2+BNejQ5TAywZsm3DVFiwaxNpZghyHH2NCLaU4zZAasUBB1R02Ohf8dZFlWyJoVuAhdRdgN6Ovqx2WU3FrEInPG3iTQZ6C1g74s6uW65OUvbZmB4yryKfkapHkThIV+OYsLF3a3M8wV7BMoGmUh/HM+bWaDB9Dbnq2ASqV+Quk12d91WMk+jV7jA1iT58DxiMiB31YCojlEaqx+bPq921ymxt+pgP7gNVFvHFlK3Lx1ZDiR6YSx4lrJLH6mLKQJhbY7MPs9A82zPNYS0U/d6Ds51jlQsT5nboQhmaoQWMf3BMYd91Tb3rYClpkajxQ4HJmePtaclRbeKwD8Ws/13UOARWaWmP8hYMt1ThzAFpjmc9Jf04FyzJEBGYb5MQ30JptTz+bHMiDn1zdwnN+bZreANGexG8yE+Yn28cx0tDSPCfACgjNg0AdWeFQSP+nWxaAwrP7uRtetGbvAgiuBESiGrlcpF7u0/ln/dwlQqB3cZgr0LjYsB5hMIg8+vBc4JrkVmRlWpyGTXJitYbzFEDAUadsad8UOxaCJfEsf9f63ZG7l+SBTnwUW7Z9FtsIOzO6pBWbu3QHbCQbVevCjS/Ns7HELLLt9a7A+TmCJS1YN9ny2WiSY/5DIaq6b1OOENREAACAASURBVB271CObDCAdg54N9yOKcJce40eeMbQoueIAeZ53PG1p9Xx4LwLma326Zpfz5TDQYlCzrDFRSinro8hi5rtArm3ojgrmYiG0dUvrl4Lw0IF2XXKx7sOzV5GvDI1Xb3ESMAjvE2b5NpqfYAvQ7Tab2qOYOUkI8qsAlrPY9JTSNI5pHIdhbqZ/vb/q/+7Vi6sf7d55/rfSV9PPbVIrT3DgvCWvfCcf/i15l+0xH1ELzKAGvExfGV6nf2f8aPzD1x9+8rvTOH/3ftc2/a5J43xMh/mY0vNdQpASUXJniwsYt80xNx3RlS3suaXb84ia73N5FTR7z6JjaHukpQvQIRpE4BwLpiLKiCYzlR0AORjjSGd2xffI6AaTPHYMHFsLdoAJTuCbqbnS9U1XApIENgVQPDP9Yg6ls8fUPCeO3+fSattNthbYWiBu8wr8XG/+GFwzuRPhwQKWfBuHj2gLHJSS4LSKcVGuCenVKO4JRx1AOcDQlk47t87CmOufCOKZgSi660tgHA+joCCf1TR8VeTUgnz56gLbCTblAtFiJGutgsa1tETdxgEop82DbWOBaZOr8iJ+ZA7bT0i3pvl0cNx2w0Xbui5m6mntpRFOpaZKWnlxF4s0xm3A6vmxXqfVO8iKv26fLQiQpUsiq1brhGtj+l08QBCDqM4wRrHNfuw4NuA0OECC/s0FB7mGuD68FXEuqKr9V3SbV/r5Tinnzkhenq/6HcufpaMur8aKIi6+XA9sLFIbCP5K1uAUHF/ZFliHe42RskQX9ngEls5tLMqz1b18iUUU673IEpSpVuiea4xxWRn1OTTk2ffOJCdV1K5p4LYD72xzA87p37Don+u2evFVZHOU6jUKwqmP/XMv9teg+OsIhqsVgfVxb+A7YEDWRlmiUI4nmvpcDWCf39ItWeZ6Kmi6L/QDZUCChMPCLgeb1sD3QqO4tI23z9L+mX0SliJmLMFtA89Zr8HkVyhFBbuI+g39nEaTM1JBUEtLoKn3ejIenNSD+fShzbPaQjlrwN6NfUKyhew3rustt+oXVsGdYnNvjStdMrCfyDlxpcEcULhGYDEpML6H4/oKyUas4T2LJlNjHOs7ApyHxMKbkMlihhALK6s3VWcIAR9f6rka5AyQGFPJOHWcDiZnVufy+IQEbT2X0iy9Fg3wUjFpxd+ounvF0NdZYf4k2vNAlg3zgFsuyBhBXhRzhplPkFmBJBh+jUBmNbZKoCiuP6cLyXKlC1M/A+2XewBPZKA/0teEL6CKIAok95bJBZkj1QBo0vHVIe27PefudBzTcDh+2HXtT7/zzrt/sX3x7H9Iz9I/bb7afPBIm2h7rbe4BTZw/C3uvMf66GSLfyN99/Q6/Qef/NKr/7gb2+9tUnqPyYwssoiFfxCIwI0tPV4x7+x/BEzJgomtJCZQzSC5SU/3sbbwp/NeSInfmaYvFklmUrUqcUpgfO7SDunrAMThvB4svZ0FcpAWieOFFDGz1rEmK4bDp2RBp1KQBhXbUXgVhFE4gQTEY8En15m38RDZlJkPZN5cdgs37+7TGRDbVbYWuEcLVGBEABQLUFHS/kFR4XwN+sAAMY+5oCktjhXvBDAOBpmD473AcWykyRaWfrnA7AIW14/ugFnc8y4+U0VgJv9rXbFrk5XmALmhQJmubYi8I/MoeMTAnjJfyBwP0lCon5AzYSjLYoFAbPoto8bBnfykK0VmC1tcVk+gYpE1ie/uwJVWVYNOCS6UHlNL+LeXGVBemeAUfpQqXzTFdX1DMcRx40vUUK5rbtfM0AKskDlIWWQxdAmosJ8kxaNiz2LtOzNfPoRlnnnBaZPlqDml7ncsW0//Lgxpb63lcXgmqsLGrrN29ffXV4SNTppZjNwop7IKjFu3nX5nY3EtQmR3refE6YyNQKK+jTU9bjYGcZzdw2yEQ4N9MMz05HkDOFUECXQU/QYCsZi/gfG8ANxLwc9a3wbjCFlxCrKo2Dt7LYDjORMu+zTGbmesDEEajEcBbB7k82wI19Sm9Iy3a2Q14/MKnAtAl4H8Mc6SXeHsFOOBLbh3shM8hcUcuCzjyItBmF00DWWh3tZWlUizxkc9tDSflS1jMiwEwwH6janZOWiuIAYvZ6xz1mxAhgcNuq57XiIrjgx/NzRmIU9EgPw2DHN9xl82ip/0WTnD1NdhtbxnTXEfx40C5Os7ssJZJwD1I1B8E3sLBJgQpAIRB4EmZ/OTtKO1gOC4FpEAjisjrRoZbiv9L1LRuFDEukV+hstKlqtUxYGDea3vExjntqbdGmShOxEyHWyNx/5Xs8oCnWbThn5Mw25Kw9VMH0nzhGl1XFNRH0oTSUGJahGx15Ntr61msffOQt/2z091/gIc1+xgqJnN4DKGLCthADmZ5AOkVpRphX/3c/fzYzf/w2fv7/90erb7m2lIP9N8V/PJU23L7b3fvBbYwPE3r0+e7BPNyKv7KH11eDX85uMHxz82vZp+x3xM3913XWr7lqDBoT1IC3Q/UVZlZMElbUQJjpPaY5tGK+JSGjSA44X6dqtf8mQ75JYXBzDRTQMdM4DcY4NfbfbhqAKg6gmMt6m7TiqAhsIdpEhqMzlBDkXE/xVwHCwIsIsEgg27MR3Z90kAeasiagUAL+yINYmBEydwqbqzdfTWAlsLfG4tcM75OAdM+GbNHxBMwyPSigGaUFdTzHD8lf1RoSBnjgMIJ5Bl4Dj+ezqYXIIxR7O2uUk8OTM1awkbOKW9JXbsBlKTve76wr4TX75hkYfKUDOLEWsF47pl2TFie6mg3UgW5Ww1NewBbLOswtMuKeItU9KzTzuzPBM3MKGQoj2F9sw5WFFSsY3rvFgvY2bOPYcOgQHfXuGFDCi2lHcHJbKslt25VlDwbAKTtPFzg2axQ+oOkGNU5IKN7PACqrnOeyxkKMA3ynMEMAF9UzFvAxAeCq3GAoO5v7GVVGXW3HCFGx9nwan0CVjfhdFft/ua0g2vthiON4c01gGTJfooUKZcaSlhsnLb/LAOjl8WWlkZ2YuClT6tzo9KMYdLoUYdWUmu+fzwDIxK/gRWh3w5o3N6YU/zNJhVV64nmKlkLmpM9RxbLkVCxmsIBLLgJguXWkCvEKc1JplpZ9J2JpCcQxgL9rY+jxU3Y3Ak9kIUYvbjT8FyMa9l//gtn9uBcUcXQ+t72xWUPrrm1jSuVa6gBYNURoDAo/MSJpPBmjLwBUmIML12CxYJm5fsUJF1kYXTXHC7oWf3t/d5UuxfYJRXgYncldv+4Z5mPx7umSieASQRnigp5nNSTHEU3uxRcPPYUEKlPSB7wwKelFzxoIzSPIoUo8aH7wEwdxaKi3ndU1zb6ibNntmFDYqtkCFda+QEL2O9ZLM4sHya3eLkrJjVom3rIlDvg9LnSwTILSCE3DHZB7HrUeuQZKJ+Ssd+SOPzJh167Z0gFZYgEzZjzzbJNqHg+VlpNM/idQDe+oLN4EHzDRx/wPB/y0/1UrlmVy0IpTUfxIsm7RDdPCYWyGVgC4VzxzbNhzmN4/i63Tf/vHvW/82rd5/99+nd9L+l99I3toKdb/mweCSPv4Hjj6Qj3/bXmL85fzkdD798+qT9fcPr4w9Nr6fvnab5ebfvlRaGFDEWy0rUGCcjAMVG4BB4HeUMEliqJ0lhtVOfmeMbOP7gIYO65yjCKRADVO4uTQSoULkaLI8utdACHFqms3fUIjMAibsZSY7zP23zx02g72qNQYQim+N+TCMyBvYYB0oXpARBzqCOLMa4YS+bPk92zkDBBo4/eAxsF9ha4CEtUHhJAVSsLmisxJWbEEcKLOnCrvQgKJilAkIdtHOwm+xObJAhyWl1D7hZNlkW/0uA3cD2ijzmZEWrBRofL7OrHGQ2oEbSXx7A02Z4N4MaaUCLb+YppaJfoGL+F/8NGQPpiTRk1427KY1h3dO+tTCnBUAK6olgpIthdGTO29NnQKkAqc4WF8C8AvobOHbRGMD7GXNcQKEBxcbEjeBblWLPm1lSvj180ZN3EFvvq4J+jALkzAMB45JvgWRDxtO9GGJAywRuig+lcWSZTqIh8vmZ0RbcDAfLPWAfQw1VGj+vrbFaftRX5REcXV1CyB7UqQGVeP0KXs+3WICgESy1rzKIe9KpATRlF6Btsf6LNeYQypqOeLl9eVcnF5/FZu4wqIq+dTlYPt95u5GPdIWjG9D5yn/MEgu6AlWcMA4ze7OgrLlPK+Z6AczyMxiz2m2Gj7MsIUXgq9RKcQAawx4BQGTlZf1k10X33nC5ugDIV0zyDMYtgG/vGF4ngunFNQu3WBsl1Xh2oFrZna44JbuD1Huj9NoAKuA15w+DQAZVO7hpQDhBcUhIACTno5rEnktQORPdZZLMrjoDl/f3zKHKVlspnGpUW70LB8htzFRNdYfxuh1Sr5QFHIc9A9RrwQyue7DPGoNkhYNsc+zT7tiljhrjbepQiBMBphDRzRnD7FNNQEmrKJsrHkvz5cYrZy9IspFrMGuAqKCsCsyWKYH7gLRV5VSFrBPYwWlQVpnPW/gdnmJC/XTskVg81EFuB+0XwaUVgFxB2yAPl/WEUFAaxIGBzHEA4wTHQSxCph2cHmtnRtxP+PN1H8k2LQDyDRx/8lNZ49qaIQSUzNM0f8uyq5DJOfUs1MlfSBtOXZqvx9S26cPmWfdP2ufdn716t/+x9LX0L5um+fjJN/DWAF9oC2zg+Bfa/NvN53nep1fp28dvHf69w4fDD02vpt/cjM13tV2bml2Thm4gIAoQYGihMSh9a/gB8lNGbZNJCjCzbKnUTFPN4HiJgsfF/pTRtfXJ3VsA7TtKF5NSKWBr7qivggUQxc8QId7Ne+kAslDeLDDKSBzLavDcBxEAEjiEgmjQBUWmwITf3ZSO7cDPydmjjItYIoIwvBa7Nsj15lkb2SU8sFF/7t7j25FbC3y6LbAEBuurCzsy4PxEizkU8F08lJv90eQMPLvfQSvXMgeLxVAuYn2QXcGOnAUcrTYC0rjxORnoXHwyHqg94wI/CkSyoDAQCnMao5ibY9hKs4c6z8AgRgmxtTdNXI8ewr6RQdmkERv2K/wVOBQLdopNaZrZpnWe07L9/ghnBnDIuZY10FuYrr4ZL2hCuedFY4LPiPUb5l7guMBnk6mgfXfZrJqhTskJC47guVRwVXJdArP9JxbdKzrfPg5QeDX3V1DNYIFEy24qwLg6uwDaPhBCYCdjGhHUy6GJBUlP5wt38FUpI9Q5Gy6zXVcY6iVboe6BNZC8MKRLNMTPV/DDf/y/1rYH8TP1n0Byf4Ua6q9glvxQ5RqSxLv8x9f3mgQR2/P8tdmbGP83gEMRaNe93Mc0oJeFdMs9CutcRTYJhtmPhezy/dAfqI9TgHyNOXNllQ2jsIyxXH1wiREAn2o/7znmy3D3Quj4ROCcs9cJNBObs8DBBN77bgVcd9AtAIneRotAgsHWvP1JVxrTm6d44I2vYsEUKyhcCBGLvlqNmtR3YVYNQU35jdQt77ww+5Sanf6btRtMf5kZpsYc79n/Fr5ysoYFPmJ4pfSJuaf2qPH9Lx/FT/VMSGJ6sW347yI7+TqlOkZaD5iFOu7S7ohs1C7114k1jHbTVYxkpAkyZbSTTWqRlRp8Bs7lZbqNH2/gntc18vGS+oYAOQMwVutIyxPm/ZTGGYKSkmXKkioOkGOOtqon4IF1B8e5N8XYAwvepL6U8aZAANaysORrgNieaSWWWg8gvCYC593IvRL2TSAWcR8FLfIG2XbIuUXw3bJOigFZGYwrDPKNXPZUJ21YzzSuOToYrQ0Z/O6z0790yUMII/X09cipO6S0H/ZpHqY0TIcp9dO/7J/3f+v5e7v/rntx9XfSe+mbDarxbj9bC3wBLfBA1/QLeOLtlo+mBcgWn9KvTi8Pf/D65fUfHMf0K+e5vUpdy3TJeT+nQ38UQN4qfRw/YNIw2s6CVNqcFZ99jQa0Le6XDhoWozMHc7kR1eZOVeR3I/TFxepgquMR0WE4eDuljRtLKadPZizA6VvaZA7zIGkBbHT6KfXPkTkwpLE76i+cPbDGWYgGOJbAcfmNSpUVuXJ9HEQmZKDnXdo823lbC2wt8KAW8B3fAhz0azprsEDk+W7U/DXWFT50kDGCxP7fCoIauJW9HqwjJsdixYQEsJokC3bFR2kkcsMKCQMW9BSbmGbxRFP3tDEyu9CfwYK4hJ5wvXCK/tshl5kAWwnylc9xFGzkAVqikFxxTLlrZAABnCOYjC2wMSYJJBkIwP0Mro1gpeVeCVQ4Rb8EDjtzXH/1VCpquGZp7zQkLAWc1zbmeNZvNrAf64vezbLBXBIHAdmmpVY7noha4l6gDSBDANYEzjmAaxAl9cdTag6DJCvsZ/kuVXE/Iny6n4MhwlasB3OGgI81DA/oQhv8ZkENLw4HsIUyca00cfmYptBBX6dNaRgN/PMMAFaNK0+J0bPGnnaPqOW9y9zIo8vkQprBtMztOD7DDWM6to8/YxwBdXHI0q4F/8/hKd8+32monDtIwZS1HxEmbhubngmwfgUPVNRXif9a9zMyCbqa2WqDAsUreDW40If63zyZIr3gnRcgfEObfc6UYrs2hjJT3MF2s7HGIfGHIhhHP01jiHbAZFwaMlzJ2a0ybxSzc4ulIrruf6224aQRgTkgRq8PdFkdSkGEBs1vafOMqYHnghd+nr1eYfh6EcKRzHLIMVJbnn8VcHOJDMpRGI/W6jmr/gONUpMYPNMM0t8seeNve24EPGhYP5GTsX5Ibx8ZqBBpANmpZDk1aYT5b/apn3epJSgu1vge+w2lEWuS+5DMBCnbKzogrsVa7ZrHDdMvjCVukmYAwXFJ+1VABUVh7Xtbw5XwYMFBHxueqeEsaw6zEmjS/C7mm/NvIPKeUNlQbFrVRgEb3utjBHegHheMetlH/GukI5ui2p9hvzRIihRSlFeWbYb34u7N1ld7MIz3KCm2kcueyFS84DVjwNBPz168j8e8CMeBqv9mwOu45xqUhmNK44AA2Sftrv1/nr377E+1L57/JWORb1rkF/TPdsrDWiDuyx52pe3srQXu2ALzPO/SL6SvjR99/LvTx+mHh+P8m6Zp/nratSntO0qojGB89GM6pIOBoWIEeIop0zGZFn2qGVk/xgowblF+7TEesLm/4/s+lsNOWFptkwb4Y1ObroYuXR27tL9uU38AaxzFpto0Nzv0Ws6+EhAi/CZ7qlZoBg4oJVQA7GBT008pQVMyA+IIkAgYF7Mc/a8NmhZqT52P14+t7zp5ZUNz2+b5sfTd9h5bC7yZLWDIRt61LmZkkAThIQFJgd1hcS4A1Xa+p/AvWdIO/BbJC7WGpyWXTazYWy6lQrkOFvIEkK3fqFk+4zsc44BiTquuAeXc9h5o5M1PcR8HEas9b9VxSssWRiV7yaKMAFUdRGYKuHTKscmHdAjYkwoqFmkXtJWz3XwtLHmyuGmQIgltRWtLrKFh2vvFNtQlZrgeqB0FartkimRzVIgPBSpM151qM2DVYn0RsN4ybVcBDKWpCwQfBjD7CvdaQL++a8eUdiPjCKV7/L8c6M5DLnZWKOoN1m4EaBcBEGWvFXA6stTRHwMKixs4rj4oxUEhncNgBlFKYyhHOWgMxQmoStTuiGA4vvfMg7qfBBXNOane8NaqrZb2wo+J/e1geN4UGxB6k61x4Dev/xcbptKX9SWyNbBJfm6MrkzAJYd/ESyqgfEzgXg7qGyuHJQLADf7GnNxSe6IgHYYjLJWYa45ZOuvGLZyS5AuB3Xq7ADMA4COXhOXc8/8MzIC8e9RxRAj+zUWRYaB8QCFZ1tkMDmz4Eux0mw70M6YG5YhUyZgCZ5oMDqYHlve/jtLspgdJaNXmSYKCIoxjkKfZJSryIIFCE1qyeUybF4BGHebI4EPWtqq9UvLL2SGLh7HT/VEWSDZInDEwcAumRRa1BD03DEjtQPxxvYXOwOQE+2v+l8BDfWZZ0tovHk4t15vWdC7P6oANuuHKODsARRmIICEw+wly0DK64LVuNJEKUEvH/OL9bKwyjV6tF9RYJ7ZTvArWLAQNb5FLFLhQjBtQyZHlaaCoWkFvZkRy4h3Hkyybp5BBlkVyFNOaeDeWsGiIR1VCNcy0pZjvh6ZHliu5+XF6/9THfaP6b0r87ySySkHLRePd6k5zFX4afv5OcFxyOF3WGsOU5rHaUpd9y/aXf+32y9d/emrd/v/tflS843H1Gzbu7z5LbCB429+Hz2qJ5zn+b30C8d/K314/fuHj4Y/fDz0v3Zquh5R7fQ8pelqJFOcchqhknyJUpZtmKdVn1+czwDj5nRv4PjlQ4uM8gburCQH9ocmXV036dl1xyKcFIcH87Lt6bvS5XU1lcjuttzBARuZbk5DPyeQzREcgUYeHVeAOrgCCn4YMqWsAYAnrp5bgHEfK+tvtwHkl/f6dubWAp92C/j8zZDoYj8mcKKy8Y7NmmZtrXHsAFLNHI2OTrmWswItE9u2rQ6YE0A1YYNYvItBQmYvNam59hRoB5aURurFQb0IKJ/RKeSOt+ChYO8yuOkb5wKN89DFApf/ycOwnRX7S3IBAoGUfTOltENaODbCKmwHBiXTwXleyDLPDP34PNY+QepBQQTf3gN4fwBz0gAHYr+m5+2Mb63tpilvACXakBrw9ktAYZy4/ojtb/I3LLYWtLgp+QqGqoGhk4LsmQPvDWqRieBhiPlNf0HDspbQwD2QwWbfBWA1BnEUkKkl3/wMZA3n0W0kaPaLqf2gXyk9ouQrgR/2GurHgwGMIdji8wOAukvMhSBGAeuhVw/9Wb1cAbp97kRZumXRV2M5o+0ZoK7bh/4Br3xDVvSCyXxfy6J13htm6QXWCPWaj+iBtPPEZJ21tD3+nBqPC8Dbvzx5t7XjSm2U06dXJ+ep5gBgbiTJOjAIxvlRb+UKm7xItVTt63PBRV4MUNc89PmoPlaRUIvBMHPDNPEZLHQZI5tvNrfyfLYCyXlA41F9SOC/d+d6PfRfZuu6VJF6heCiF63BR5ahkYvqwh46eMjvHUBVWzETcT/QPuLcppN3ieMIilKOygvu+ljQXM6M2mgQ7juAn/zxHp7D8BVzHOC4Mgq0hnZgjA99ao4qvgnSTU+5M31fCkZYAc28VlhHmuyDz77C+JYm9+s9WNVTIoGd9aC9XoeBygZ+Zxvti4HVOiqyULaeRDL3IkjFVTOMl2zOPXOKWWkAyPXLjDX7VQDY/IqqTgWCo1j31XqQmeSb+x6Lw1aTV8FYI57tG0lUNq/lE5icW16rTM5uKUup4PIGjj/5qWtDAFkVXH2sNgaDPYroW4ah+e+WZYF9fKkfA/stLXJkSqCmQHNo0/Q6pRm1gFL7cr/f/eP98/2fat9Lfyl9e/rXTdO83tp+a4HPowU2cPzzaOXtHtpkzPPXx18c/93DL778482r69/SN8++e2ifN2PXpmknR3XoX6cBTOE00AElQ8x+5RKXiL38DN+cnw5l+TH1pqRsdF0rcmOO3zQ8z2l6SrMX1WqUFrU7NGl3PacrOLBHfE5PMyU4a9QOLNKA6DGls4o5hA3IEeB4P6X5qqGkDouvgtmA6uqkNmkjKemUUrBMeyMDler98OK14vZTx1cSK9sc3Vpga4HPvQV87vqNMbdl1f1HoJzma/kRIcVL7NrnGUlykNk/N+ZYZR9wjDvuy9cOoPniziXNWMwXMNkAyvJSxiwXy1wbXXznkh8uL5XJiHgEgNYBHHdmZX4zl8WQykEGyxwOcwmpyMhRMc+iv8vNL34BxNuu2QFXAUCm88odjUAB3yRrk6Mfl1Zx4E2v/BBwvIQ9PCMMj+d7b7L1AFgB4GIgRKn0zBY4NqkbmwSpShZ5dq1WA+zYF1iBOqxDXgTNwXHf3EOCpga8y6gLLx3H3WKoqE3qcRlHq48Xl4SrNHBxrhdsszWsZD54sMOKVlsxQwedSYhkAOQo3XaXWwngOYB01TCURESZHhr7AFYHnm9F6zLm4TrtpQ00vmwW2j1cAsD1332O+nG6X/Svagj4oZuPrP2eL6tZsXbdNQxT71Rr2Vfde0tWhDM/l0pE8Ro3vWMGsI01UNk3s4LL565tIFit8I+8OnC2oiE2U/tGNpNl1eiXGbgR5rcHwOThuayKtawRZXE+QRDYOkZyjGFuIDptnxUydk1l1KXJFdj9RVDH3U3x0gw7YOcFhr0eg40p2gzcpyr64L6dzUImXcTVpNwE2TTXu+s0dkNq2pbguGfgeK0DajPTJlrAyAN6thrVI/rkBbYPbmwBLoBml+DjGwGGaifSGd/PVwTMmmtIAHWpAzCeegWmc4BHAQvvp2wFQiFlPAbWOUnvKKh07Id0eAFCjgoqM4uBYB/Wv7gu+76DBq0ESwFI00bYumJzSEfFvWdxYGrrBPujiqAIMDoATqY4MqDAID9a4V2yyQGQy7cgCIl7U7xZ4DjISvglrMhiswpkZS2XRvWayFvaQ7p0Sofexr/VAmCAHe9vhb+jxIrDncvMn20OPM1pTm6CFc51cBw2X+PTsrnlGNsahfnt4Lj5HJzH8J/71M9XqRuBJ0BuBUEx+kfDNA0/3T5Lf/3q/f1/m97t/0HzleZbT7PFt7f+PFvgof7p5/ms273e0hagjMrr9F0ffeOT3zu8fP0n+jF9Xz+mLw3TnOYX76SBJGMwOCChcqAOHAwqOVmjF00SOwkbZhpkq1BfimNll6S00mLjWg12i/z7hu4tbdrP/LHPF7yC87VLu+F56g5d6uDEofjm0NCBNRqGghfcyDtx0l1JbUype2cFk6iJt5/TZJI6LLqJ3Hcv4JRTFYuL6WRM70fv4wwE8ItTGBxXcBhuc+4+82G03WBrgdMWMPDJgV5a8DNs0mo+Z6DcNAAibO6sqpDSz02doUx5DXDUyZAt2QBHzw00N+ara+UK4DTWINNCG7FdCBAZ1Zn+v21eRjSkaQAAIABJREFUbUPrALkAXDuOgI6B0dkS1Wn6CByAu54J5yFIgD0vrgBsSdSdAjR7wTkxS01SwBjlzo5DXQ8yy02bnFqjxu5x9rkD7t5xvuGP7ekszUuHtwdHci0K6wdJGzCrXrq/IyQg+rQb9dsxCGsMu5CaLqDOfQELJzh6GRvSgZV+UVBx5UUc3s3rRBlElslUryCn64mPq/riBBe5Vi7ccO9nYi7l+VzkgX1t/UXJMWRU5SCFCrZ6gEH65q6VEe5D+QgUuZYvlX9yUS0D58k8L5ICrpdOMGlOqQfLUbELK6RXCAx8a9db9/m1RJIfuPiuQ+Ge3VC39/JWDZ8lyjisjeIgwbbsJs8+uMM7rG60aKNO+//c5dwGlu8B6i1kdWgPcjiLL7S+yZN8yECmrOnOL0A9ZbsUtmuRTXHAHcC0JIxE0MY8tSJtqOVg+snM6jB5qgpQdwmhfN/l0/q4M3sc9J4FSVr2zgkLPshoLCOroXHx3pDVGNrR5sxsALnplLdzanpIa1gNnCxJtXiuOrfgUlP45M5TINjWNwfNTDoTaybs/NV4lbrrNjWv29QcMN56lOfMbFXaepMVi+B4WaM0VgmMY6/BGh3Qooe8yJSGZykNzKYSiKdgnrKx8F8wXzm+SJKWSbHZ/kGgdImixblWTN36DBQQrfAUZNl0H2WrudxKOmKfpcLdLB4Oewvg3Na53jTbRRKTfJHviaUyI+DfX8JlYlBodARz/NnATG0EBrAXy0WCzS5UfpFXGwk+2h1M35Mb10/lhRlcDeC4A+TKvCzguOeQqXCtoqcuV4WiudPcpJEA+S610z710xVrlyEDvXl1TD2D8eO3xm78B+2Xdn9q9+0v/mp6nn6uabD4bT9bC3w2LbCB459Nu25XtRawopvf9/GHH//Q8fXhB5pp/hVtavuubdMA5xSa0pBUAdgNBwmMcdLH9OtsNWlyKFIfi4Bpw16c6uWALt/bA4UDfGHfFvjLhutu3Kerj5+nHaK8hfghDT1tXdSNwTnLG3WyHcBkEEOcwq8ExiUBMDRHscYt5U/pfGIp1UW0SqrtcvMY+3UJhRf2wwOYj5c123bW1gJbC5jJdhzTN5IRHM+2OzA4I0DpGzdn5fKSGQQ3YCdrjqrJbwbH82KSiz8LGNTnsi/QMzWQHJq9jcAhB5Fo+6CTSjDICn6a3IcYYXpG7lmnAi7x4SwVtRocgVWq+wd7NUszumAzZXFbaq5HrXEv3kl22B7SGp6SDjssQB1ava6zWtrAOyKAT1mX95IhrQ29bHsdNHXdX2iaCwTrUg9g/Kiizz30Z0OxVG3GHBj3Z3HA3/rLx0KO1gIEM6kFdw8WfZCZ3+H1SgBWwY06p6FuB2mOn4MnxbyttFrCIGXMIxTKjF3tQevMavUB5NISdp06XT6+hIHj0KWPMhEZHHet9wJ2k1Xrc4BTYVZwxn4UlHGQXPBSCdp4IKsasP7Ulwyecs5KRPzE7zsBiXHELf0XQeazLPLbvcfls5THjarvsQl0zdozCTBVMWKuzn/afmtU+XiUBU2osZxz6PwAH5ONsa6t6Gvws/V84pb7+3EOG4AocM/qNGQwr9RuIEZiYJ5ndzoTWIFGw/Mi6zvaYXvUUni3APb+bCXVZn2K0iog+GbFfpUxI19UWRljanet6jVAf5q65Tg+1m0IskgPG8VP7mz36QlLo42NlY+xsxu7tB92aX+9tyKcYFGjtgcyUQWos59FvFZg12w57abVAEGBWZcbY2HKHQpT4ndiXSPIOFJijNJbrv/vwcSYNVUymB18Jhi9qFkVLf1tloHjj+8sm+h+hVjkFlyidFOXOrLIwSZHLadS/4SyM9wTme+TzayepARG/V5ar9A8kJU5PkeQAAw0rZVc+9Eini1h8irW2pkR/+QG6/bCpy1gWEy1EAf/Kfv0Tv6gjxeJavIxWE8FAS8EgRLqC/TKEDk2DL4DW5gnFpA9Dv38k7vn+7+4e/fqz+++bfdPm6Z5uXXN1gKfRQts4Phn0arbNbHQP08fpO9IL8fvP3zw8Z+4fn34df1+96V516XrGaBnm/oX+O+XqWH+l4BU7ldaKM9NaZiG1PRwhGLqZylikp0ia29zjwsBcLUffMNmTtXWV3dqgQwSeEG5eU7Pjlfp+QfP09XxygRPsLXISLg5bMqT1x7fgWz9HdopHXdK92/AGjdWB3RQxYgTK07Oo2iE0nhVoR6xh0pB1ooYaG/lDqqeyoMttvkESHWGV3WnRtkO2lpga4HLW8BqWzoLlbN8IeMReY9LEqBv2Nzg13iQA0z149VMKNmkdW5lra3txwiwElgk8NIsjGssAqT1FGmXA7MinqWYp7EeoZ962Kdu7CO5q2bPRwM2A4ipXTZhR/aZRyFpo+1JDazMhcoywxyM4TFNOxStQxUwmFRjEaOIJwAgAEJZcsUwXGfL2tbbOMMXjgEKbAVwXA6AA/kqhCYmLFjj/dCn3XWf+mvIeAEw6FIasR6EAIURZwnNSjxZKb2ZPW7AgxXRXMpq1MEV5yWvRNRtsN4GgOQzzwDkBiFnD4avG0Tml8zo+nuTtFisdRmwcTmVDCra09oSjT/TYGtiZqhH2bo5tX1rZAQD0R0gZz+JgTmzJohpOnOjW/SdIYkTC+WVQILNxIfI8rAPXCm9DEG97jlOeWRWl0KpxZaE+eTmIc+5xXaJgRGjSt82AxYDRdB8k4bWC4rXBzi0pWFbtMnr29T9v2iBxRPV13er17DIrSyIH5H9LXhalCUCu6/YSc5SUlRd6M55q/asJmXigB1BUCWDWiEBtTFADxbQJbjnxY4FCqoIITjCmNsC/+7zY1yaNDH6mt8sBD2lV0++bpBy4nzkg5l9hI1k8UIUP0YwzQp6WiFPab7foKt/n4d+YscynEkfXHsBBimgbDO1aT906WrYp93HXdpfoxgnFyUZFvgNUmsUOI7utUKrDrZ5UyrDRsGOsTfpzt0xzTuracV1wIqw+l7CisRW/oSNUY5VC7L6WlUNTk6Tk1yj3LO1j4Ir9ZYFBHC87GX4bgDGwSKnxIzV1LCAMIKqAMrbYW+ybaoTQBkV/7GM3byGI9vNPAPIWg7dmF6DOb6H5jr0yjXmc8YZa5nkfCVeVe++sJFPbNxur1tWS60dXo+k1CXxvbiPFCc5unyeW+XDPKa2hZ1XVgblgEzrDra7a3fpcD2kNKB8zj41xzlN1+M3X+ye/dTV+y/+8/S19FfSO+nnG6WBbT9bC3xqLbCB459aU24Xyg7Jt+avpI+G3zi9Hn/w+oOP/4Ou6X9lalN/bBCldr0zMDKOaUofJxSlEuUIjkcHXjn/OcyQ1Sh6qJ5G6VqGMIeSV4lAyA1CkU5xsQfdrGl2d8zxMXDC28ea0sEebWBArEE+VZOuDrv07MOr1A1720w0abTNsZw7y/qVS6uiMKz+LlbOsUVaIwpvYhMOFoY0NKE3Ty0+HGesDoHjDoqrEI9woZIWncHxsP+N2JKeqS7Cdy7peJvNd2yB5Qpyy6SKh7uPHU/J35+5zunt7nHD5StlAOXcMni7hbj1iOrSp0c7GHdza5+/i9pw8fy3PtQd+/Yuh93VJ13bUAVw3EimxQ5lkLy8W34t/6gqTKVvy6tHfZYAjlQwUHzBBehcMc4Lu7fo12pTjzTlmjkcJFzs+TxLRQxzsSvxAyZ083Gb+nGXU6qF5wo0MBWXvPeuNqYGzoO6K9jK2JYAG8LE4ue4nas35LaT5vShOTBTxzfHvJ79IjCJQsnO4naWW25pyjFozbiLI8kjXVvbehoPJrYpriEEjUw/Y2cCdsXWaQcJr+Mu9a/71L/u0p76s3jQLg9/XT8WJp3SOKtgmUvi8H5eZJVTJwDnBkhwSsVAQ0A0lvarbAJPwdhKU9qGWjlf44e7wdwWhuGH+WvwXQ1IhImgwlX1xTkeDMT2rPsIIWt4GMt3WPhLtnBnUNuKGPIcL9JmTHONn+uS3YWihgB74QMYIwxEB40b9+P0rALwTR4v2JD7my6NP6cvV625YE97O5WsMX+O2ID5qNr6+XioTAbG64qsyS12091QzAUUtIU0wzJ/rYDiHuY6s3aQJHDX2RcezGRxUFA0xPdITCncPo1R3TnIy2RwXInySm4pNjZn6c0zgQ++HYt4cnDRnsFswMb1pq98Wq/Big9SoqoTYB5qD2VX3orYxib38c9xZo8lBq1WCH9Sgolg4er1KhtJyT9o8s9HaVSzmPGc5r7JioH4HJIssJMl+Oh6/eV+vjBZjkwZrouVIw7XurfLv07zHN/ezEc2uYPjzFhSRyDo+WzYp2eHfWpfzmSQZ716rmdNmmBr0MTGHGcwg/0BBrlGbc6I4Xcz2eJDd0hDBykdGE7VDaGtj3aKzGob+1xnfdxGYByf+QMs52bMmDk1BsVGtWnG+IexdjkXs4uSgrTiuAgRASAHhMgCnZJmAzg+I1g84hdzSZkZhVYv3bUBY9m0ybtGQCSCYtiDvd4dKa/Cwt07a0OSkgyoj4GfGERzn/P+BvsW67h9/ba0AGYAEr4ZXDQfSz6YZZDlFzHLT/stOy5LjHmctEYACR/H1EyjiHS2LqYGwSPJz83XCSBSukIG4dCm43z4yfar/Z/s37/6sf1X9v+saZqP35a2257zzW+Bu3hVb/5bbE/4RrQAtcW/Sbb473n98vo/HV4Pv67r+/cZnAcoDucEhRah9wYANOtJa3tffm0DlZnGWu9L6v0yrbu8/l0H9Lamlx0B97FkVVs1JYI+VgGdThA2Jz0BiquhT911Su11St11k3bHK+mLM+1Uv1j0uAiCeACM224FVs7QXaehP6Z5P6bxak7DXqwR7b+k9+cbDd9FxK1B0WixU2yrE/AC34uszom8qXojZsxb/hCGq9Twjr/Tqe5rnpu+YXWJpDBpI3O4XCngH1WTKYe0bHfX2/PcXKe6I7yzqqCX3Db9v515w6CJDIlzdy+b3gIgaLiXgmen58anXmy0g9NpipXV6XU7Ly3i4t9rrDehZ7cPTkNvb2v/AhueXlMb4uVPTL2sD4it4kDyCT5/5pqn71TkA2qAOz7P8mLlCdT3C9qlDFn4f7vWCpMVG96rEZJUQjKRAq6osNXZwEYYthcMRwtIUmvUWM8Y+yP1Ui1fh8wxWxuz9np4Fx/HufijpALItjPbqyKYuIy0yrtnnbHIIbUiIIjAtWk1G1yQULjL565vfcgsrQpsAv6WRivnBG+LdwRIIj1KQRKmk451aJ7JGNpNe4Lju1e71L/qCJA3YI77j6XU8xkZfFUgVshfAGa9wKmlxEvOLawwi4UkSqKsjgSudxacMDBDAKD1A5czC1iQ1WdMVQMLpePsjLyyiXTJATGgrV99DNmGlK/u4GA1MYr1YpFBZ0/WoSMFYKDaGVE5v16OzNhbOxvSP3eA2woW8o4GbrHFbWppuMZChwWIRF+N/SGNQTp0ac1j+y/tOG/HdvTYQfQfzJsMgcMSpNJ3LrdQ+RdZV9d7+/RvWe/wX7dplq+bUX/mZUHi+ug7BJ0WAYDbjXY5wj3uMCzsSwXU1tbN089yLs2qHdeHKyx+jmUNZD6HyeXJb4S9Q9HFLk2HUYWPWYwQttAkJUzX1hDVk/hwnqvuWobJ65kZ+Atgxo11nlZm1z2Ak30MDqAiS0HbeZXS2EsiEOAs7I50ncHXlZa5x8Bo6zID2aykzatM7HCfKq4tuZ28GL0/qTJv7jBK7jMsPrdjtbNQlvCRthoZQru0H/Zp/3Gfdq96ZgixTocXiOSogbYNPreJD/MIsk0PoFfZUM1VQ5AcoLDLtRR5FcmH0Hz6OMoZVcV2Vou4zbPTkbw+S87uL+MikueuL4bF54w+XAwq5XUFQQQWpu5SizY6tJIcQyCBfoCBlqjnBTa4RcB8XZHfC+t1rX351cz92GF/5B4dNtnzgIvOumxCLpuifO/zrtPnNpK2G30RLRBXRt8xFT9gSRnROpB9HXtgt12+FuissMISm0DNCskHtQhmHlOahxlrwjQf0jf7ff/3rt6/+i+697u/ld5L39hY5F/EaHh897zDDvjxvfT2Rp9+C8zz/G76VvpVh29e/5HrD1/9wXZqv2e/f9Yjao2oPSqCzwTGlcbNauCqprLqhH/6T7hd8bQFMP2NkQNgwgAKOZEOjmN326du3qf+2Kera6Q5tkxtR5EY5jfiB1mP1KrVP5UaaxXTsdZRq3FIx90hDbtDGq/GNF1N6djBETvrSm6d9ia3QLWhKA+aocFI3rWvY1cblldL7kZZDb9kxKhP2uPmlOabsAPXsF8DgiNgVjts8QGcZZfhmZUptoSOayjGas2u9PICHOcRi3lCVEGFipc/NTxryzwPXAd7Tx2Bu7kGS1mK9eF66hT725zvn+gkn58ERXP2rhOlvBf/q3qAM3aoAorqYx4CTDhzEuzNOcsKqKAnNr74y/RpgkViT+KvFzzS/BHDiyCrAbHaX1ibx6wCvXCOMuswX38dIC+gISWtsLmmrED5ZR0IA5Ult1DYrQb5CPQC+wdfW/sRME2Q6YhIlUoSOnNcAVqBTXw/bo4QmN2n/WGf+k/6tHsN0ATRdpsSvICej0AVWYgGjANBCYX89AyFYd4Yy/Dc6DmnF66hY5It2bbVgQmBFK6fLMCcwJzpLfMFRwQETIPe0/WNUK7AgTHdnXGVC83aVM7DMY7LCoHJjNn8jrn9C4hSvlsY3RPDsrBLubiWw5w2GmxtYPDOkr4IUlkskoXf4AdC3gARdBJCDUTPzHdjgIa0bcYJcraCitfpxxm73t/6LLZE0bSuwfHyihkuDoVS3GZqIPtodxayZ07c1fpsx4UWCGBzySBRTRnWbYANJLPc7aEV4MzyLPouSyGZzrTAdg84lRUvx3VsaRGzOAQ4TSbmZFlY6OQ6kAPA8RhtDmVXYDMVSCTj3PY58rQVSrR4nY3aYh9lsu3qJ+C4Zz0qgFhm6dsNjqNF0ErHdmBGz97s/LNPnqX+VZ+6I/YfqPzrOthoGMiJ9DmzCiaAbHAUV706cl+BfSbWLelnu4WIbR3rWb2dsxJgIbKnOgDkkBpD8PgImTb4CGVtZCAgF971+WXfY73tx3TYj2l4NqXDFfZoQxohcQnJC5OipJ+F9cuXNPMl6AFv27e3cwC9EU/tK3TMtvBVVv6JKCKY75YZYSQS2Ibn44s0XA/j2I//x+7Lu//m6mtXfyW9l/5V0zSfvBGvtz3EW9sCd9sBv7Wvtz34Z90CM3JePkpfP7w8/Pbh1eGPDq+Ov3U6jt8FRka/36W5g9TGnEZssFnQprDOyobms37K7frrLVA2gwInlNou8AAbU7hGUADbURcXTlj/qkk9WQqI5iLlyViArIWmjbDkb1SrjAaGfhVY43BeoXGHX3NemcK3eVdv5wjF5nIBYuaurOFZhxgikiusNqZxr8HUZYkynK1qKk8/v6j9AlBWn38HYJo7aDHcJPFzlzG8AFYJEJWCsuffYe3a+szEhc6eGuSLF8eEArcOId3lFeJVnLV/mxdxFnOO3JN44bsB4wTYckGr+vVueyRHJgpj5ZYRlC8YXiazs+90t5MbCNN1+ZTSH9z0EhjqxJABIJ6L2pl+r4HpZNMYQOjYt78b/+YmlvxYLADGr8eaCweAMtt/l1UxPVhKrnjxZMh9QxYL7LwgK1Bl/VRvXDhC4aGsRoXAccE8JreRizua9vC4S/0BkirSHd8fe6aauz6qJA8A5FsKPZ4zs8YVQMuEOg92hEylc71/EzgO/4WyXxk8Kzr1HsDIDPDAJgcekdm0FEW2ddgjCQ6eT8om4KaQ55s2M1/GBGLIAMT5JluRC2Kdof5W83cl7Bf2qmaez0+MHByNIHQNzKN92E7mA/gYZADEMwOhKqD0tSLvYzIWArc8WOLj10Bz6l6b+LALgBAVVXuwmYKMWgTHfQzWQdB6Hmcg3LJDlquCem1jTl609oaAms4v2RbOIs/BIbLJXZPc/ErPkjG5FQWZFU2LElMdCyabTBL11T2AZU+9MN2+8hjO7qMoBJj8CKubg8lsyTwAy+kOABTfKfhDkJx62PYXZCEWfpQ3w+Lyngm0zrFfad6FH3FpB3zB53H+NG2ChBOLn2KnMfQswrn7+Cr1lAwR+YZtavUFGCjG59YM2FdibzEyG1VFNyfoi1M/24r+RQ8tmMa3eeuBtR+SbN0ABnlLFjnXyKnXus69mY3XHEM0cZ88hDA2BxbnBDg+PBvTQPkZyFsqK0YAeLZ2Jl2mRUjBwe1na4FLW+A8OB7XhM6K3DNz0upXMHh6TGk6TGma5qnf9/9vv9/9zf2z3Z/pvtT9nebLzTcvfartvK0FLtvVbe22tYA2Hi/SN9J3v/p4+IFPPnj5R+Zp+N79rn+nAyCOTU07p3bfU7e0gEC+5RCjMqcubi36hbSAEyddi9tZN0K0VT0akirN0Kb2IGAcEVs4rYjnjqHwm21P6PdbTRvtV5A+jY3CfkxHOLB7yevAeYVo4G2yDF9Iw2w3vUMLGM/phh3G2lfuTotFVRgpfsPa3TbwfAXr0Vg9dc7vuqhRM9oYsOWcGtzRMy3uYf9kIUDMjVvA8XPPA9AHdvHG4NAK+96fKYe21jYodtNY3K/uULW7KVCu9vVd5uVKwvxCvOH8MFL/lQBdfeRagKI+4qb2u9sY0MbxboGNtfcI8hkX7BEJ4c1Tak0gWmn36hNJqVDfRDqiBIeU00z5FRQumjpm82CT4LbXZTry02YA06RFMiPRNKcdp8lXCMEo05GkZADlVmDYEeAWkAmWtjbSFgXFZxb8ltyMN4pvsHN2vHSHTXNZMlzOHheTk8U4jdnuQajuoM1/R5Zcz7Yicx7PBYx017C4MzLVnDk+TXrBHG6htmyGTtOM728IbN0FHF8mEEcATn3rasMZlc8wWK4jZccQ7zWAG9eZBmR0uSyLR/M4cPg5CpUqe0Ks9CUor/m1KGhYDDAzvTJAnMfw6ax2yZw4C+S/yT6WwIyLAGQjGbIVTE/esgP4zKR1mmyCFU9VYTiRKZqdjSkAYwiAkAWpMYJ7HykZ42UXSqAxTsccH+KHbhijNF8B0/Ma5Ic5PBoWsnwZTYObhs8d1tCne0gdXNC/NI7oGeSsHg8wlbGtI/lvDGDLzpDmg34Vr5OMiQoVeh0Hnec299aYNpdJH8su+mN61vaseBoGgejrAmwUgxyEINijESxmZEjCBwboiL9klOMt4T+4nJKFyaIEVx5s8oM03wKgVMkQvI1jyTTrmzkhg2qHItWvdmn/6ip1sPVTz5ciIz+D48haNdAcwDjlmQYxxkG6QZHpbkhH6pO5FxPWtWUTvo3NxmyrVqSlqacOORjjlFkBUE4ZIsm1FdutNuCaFtaACS3VIagwMaMX8ioYu5Qo4zgtwc9TN+cCx+ctbe/tsT/9FnBPw+UJg6dWfCRKH0VJKvOpkIQ3jCTpwRdG/ZXxOH/Utt1PPH//2X+5e6/7q+mr6eeaBhD69rO1wP1a4G57yPtdczv6CbTA/OH89fRx+i2vvnX44WmYfts4D99FEVBsnvsxpR0KoMwJRThd800p0uacetVxY149gSZ7817RC2XZk/nmw4EZgC7YfAMYT4eGel9gKQAYB5MHvYnCOHSPjKhnuImuiIyBdJSUzm5kVfQjNMahOW8pp63pzL55jfNEnugOBMPzLeFMTx9AK0cuUIr4T4wVFBJiUaYMRpTUV+49LZ8haqAWvz5qU9f3XoLyawsdNr0s4MTidH5+faT+VZ66vq7mQC3NUZ6D2/0gYbB8Jjz9MOP+Bgws9hn5/JXPuckha9F+FxfPbZT1pdd70Ql35VudWXCk8O98kD6DY4uNGdlv9hMB9cLKXNtAecGpUsCyvm983gKyLj/1QkCXzda7sPZvu3L9/PHoAhieuUYoYuSAKoGbXKTSU6Bdczolso7BKObc6Sg10o2thoFh1AJ/UOjLZDwqOMX602p4oBBSNfbZl2EOUKNbWs4qqghwXOODG+g9AB99BoyewDTBaR3rzGEqxYIdXoHgAD4F+iigWkBZ+Qwq+Ad2MGQWmC5+reBsc1BRsbkbWe+i2bWpQbE8sMetmB4ZmicyMmZTrHM8Y+q2Xl77XnOkqGTz6W3iOMhHsFuHqfBaofLbLCuyUPntcyFX9WPRHffpbvMPay61dyU9QCA8s2TNzzKmlbPP1VGauwQ9TKvdn1fvifvq8XxMZRO4tOf2yv6OCxORNZr1YK6DI8BRdmNnBWWEaAKOYXYhJdpG9qlr5krOxyLvlGlDsTkFGJ0D7zYn4uARAC0jO2bOaITXOtsRaA//vVhIFNy9ZPRs53D1tMLDZf2vGzgGdx3QVlFkjR9peBc2If1S+qIuyWLZMZSksrHvNpZaf6U2Sr5zNcZ9Amt1cjIPAzLcz9j6z4kOGSk7hoFCALUAGoc0gMkcf8lqxhU9G0S2EcF+WolsNwwUR14Ns3qQX1OkhEBDepsHoGvuQ3u8G5q0O7SWHQQZR+hn93xvZh3DZuDtWXhSbYB2xS90s+c9GPto5zENjQIQpZzMYlw9gunHfdqIDF4QldrUzS0BQoLjIDNhr0a9fs9QCMuPBRgxlaDLPjZHyZHtpzSjFhSAcuzTrKZEZqDHsZmt7iNozO0VPvcWsFBN2TmETLTyMB449GKeLqNlBXlhBlAT+6DMCcgMNXNzaPvunzX9/Jev3r/6s+kq/WTz1eaDz/0Ftxu+1S2wgeNvdfd9/g8/z3OXvpm+8/it6QeOr4b/5Pj68Ov7vn+322FjisX0kMZOgCiqgx8SZDOU3upphKy6bd7wxhz//Psw35Eph0YdNIaZ69qiAjqArw5OFsAIOF0DqqaLMY5ORVr0hIJf6Nko8ar9dZrARkC6I5gclFKZ0rGHTuOMcqzcAfTUOt92l1/UKPBN6adx/wqQWLngEuIE4XNHgKfgy36NcqwFX7I2ctgKViLj2QisAAAgAElEQVSiDutkX6vWm9XetvrxlFttumzQhgbxzyLuvFwwCcvED0MjOLit82tXkLcjI9QAswAMFpCtgin9CfN78IqOwK6B42Z3HbBe9o+Y80uAWEBTeaeS4bNoPYISZC0ZOO4wenXuKmive3jmgK8F1iRnRs4pSP9Q5+Wk7+45CZYA3Nrz3ASQ54KADlSb5nRmRTo7MoClPm4UmAA4DtZYl6ZxTjOiz8aaFAPdwPXFdcpUMPQzM38JV9WTMb6Ugfn2mFw7xu6gDCCAmPxNaQQ4DtZkO6dhxs7FpUcMIA/yKSDFA/zwwmiuIe/a4CIWI6QuDXYy4rAeDWDQo6hFAcexLOGeAFgFs06pc3AfoJUx0b3fBcg/RDXe54kbFmusqviqzftse+zfBvABmDhhXvN9BboyyFGB7iHgYcXkPKjtwLizZjmvuLw7CBgKtnqhQg2oottcjUGB8ZHJvkCQM3O8snDRzjKaU9EX7d/4A9tnNUuyHQtkCgZXVGDVQXHPWpCUhQp6q7heBLAdxNSErqVTAmkScyQH9kwb3drDI0aeAXFq25T1Em31Pc3Hkz+8gOO+xscl2oJjOcugNJcCzgpoew0GT8EnYEipFQPOaX5Mm9wrCVptBh2DvQjmhxcG9SXVDV8ohm2YtMszCaoO2RxKaciLNljkAGkH6DeDHEIQF/+N+ghgk2N6BttoMhWu41w8Bt1pMmDc4HO2QUtw/Oa6K2/sQEPmkBGmdjMkVZrUv0Y9oy7tDvvUjruE7SZqVCCJKgs9smi1sk1YQHI/UOd93isQAYY+2h3WQ9wALiIlCBziWW/zzoOBIRbtblPb2vthrAMcPzSUwdwNe8muGIvcFbwo9RMyu8gQBxDejWpHsMd3c7rGHs4KcTuJBEEc+O748XX6jR1j24O9sS2gJd/srJEhaua4P7rVaQjScr6XaztEIRUQgsTQbtrRNxyPI3zPn+v2zd/f///svfuPbVt2HjTXXmvtXXXuo/t2t7vVMSghEIzsQIAIYkUIEYUgbKRIMSIR8ENwEhTF4iWQ8i8giJAI/GII/BAZGSIhhSAjfggQgaMQKeFhFDuRpTzA4Fd3+7bvufdU7b1e6Pu+MeYca+21q+pUnXPq1Dl7366uU1V7r8dcc445xje+8Y2PLn6y/Wr759MH6VeryjrxvrWjcr6wt2UEHhpfvi33cb6ONzAC0zRdpl9Kv+nw4vAvdVfVH+i78bfUkE7JZc1gi2Mz7VKHr3SgA6hN2BhQ5ox6KeEZHH8DD+7UKcjqd3BcQQIYegDG8dUOTUrXiQA5v6DxZQKLDjBIEkIl/wA5rSm65CIaNMeBnEqXOoDjKMGHji3c3I1KvckcP4PjjzYJHgaO38z6XQYeER/CvwFMNaO4UDM8haNRtiZnFy1hLLGG57I8/qn86TnxazHOFjTlUnsv7HaQy8q3hR8trso0jK3Ut7hxJfLK12KyB8vNlsE5y189DNb1GIlRME1Qp5gfz5oKGgOogDm6kmNwWzfhMgh6j+QrInhUGEIFIM86wTqyXeKCuZfZ5gWKj8FXYQb6QFJXI5eU21WvrwMDzpYyLwLnrWzepDPCo7rDmhLocJyCuMNHffxMb3v2iYUUzimAPILjPuOzzEyQ1tDfxAT3h+uJBdw/TLhkV0yXF9XkaFRnjexcwzzrNSo3oedIqQr7ITeKLIooRojMc8qIzHa7+NxBa3BTERSH1Aq2jdwYE0B5Dq6dOezIrNjlvD+TP5AGr7IFsXmm5orALN2z2NJTQtYW0TqqmHw+Q9eXqVuCBuoKqlH0fYvzkSoxDwHH16ZOgbROz6ICvHkwWGxDecZ6QMUy4vkfVcQQsHOb4WxoTzZscqVB1it32j+BRSQZkLCwxpx+HF+sGUSUzMWyoaXP2XnSMVz/zOC5FjibkpglcUB6sVPktSxdcj0o44ZbE0X8BNBm2BnD3P6u3I7Y5aw+yKB50dufCS2E4DzbjgAalSs7htEEjJ9DqLtZy+N3OTheABLfZsO8CH0t8s5i/XGy3TAb7kki8mgNHEdDY9hF2T5rjssGyGoan0D+MC1/JhTxmM0OKvfu4A3LwLId9P3TmdsuXxT1w/EezF9KTVFSRaA4qlsS7GQ9qvkh5QWjbYySVJ46i6xxjhxtg8DxpwnxUlaLilh12o2b1B6q1L6AdCPij21KU0vZJYDjphzGWKHB7fbIqw3panegTna1lfQK5FR6sKBZuaRxWdot/vYdAMiZIGffJ9yP5g8T4n0lFq0lGdCoE1VXzKFo0UkHn+ODDUS9plBpRW18VISBPb6b0r7pU2cSmCU5AXBcA4gl9ERTM/c1W+fPvaIRuAs4Tqk4r6w9WsuSZUNfCdh8+r9Ihvb4roTo2I+Hum1+bnvR/Jnmg+1/k76Z/u+qqq5e0S2cD/MOj8DZs3uHH+6rvLXp16YvpRfX/+jhs+4PHa7T7xqr7fdWTZ3S5pA2jZXnbuScQEoD5c50Cp1tZilrGDNn3MjwPVXX7lWO7iMdiw4knGu81AAO+uJo6NL2LcHx8fMhtfiZWQ55QixuZDc5C3LxHEN5KmIQOqnNIaVnkFNBs5w+dWDRENAA0FOnerNJ0/B0nftHemqv9LQPie2d4ToDCFbW81roRvyLUgul1H5+Y0tW3hHsbc2WxLzKQE3EqwJISdj5CINRMsiZy66WG8FpZ6QtwXYFx2IzzfEVF0dwRlkM0OYwLLWED2MuLdf9z++bbODAeipAq6RoSAhy8Lhg+vl3DWx0uFYFhT4Q0OaQvIK/ToHj5XMK3FefaQg643EKue70Z82SnJ7bViUQzytw3J6fPdx1mOAUeOBGbOkG6f23QQ5KzpQgvAzi4jmfOpg1CyujGeaOsXk9MMjPx8DSMmeNQek65QDFLTBgn4hO0jes+KHqmelPOx5OGRJvVGc3HbAZx2axT/tenaFm4p1IcijBCkCiZ1JUwA+0YOvLRpqwAMhNLqNIE2Dsemv4JfBVTF4HoQoDGL4CA3/qkyMYQue7KU1gplvDR+n9xj4mYsZ7EObVa1w39sgbsLRveNCnNftf1gyfmJlmB+NkK3h4ldDYPD77OFMldiPpgKxbbGNU2N5mILA/ZzuifyMpx3mBcvyMzVmDSQfMvYmhJS3sKI5Xq/F2tL7OpjbgON6L27d8P0FL2IFm5izC/KvBDLPf4TtkK5QzkCZ538DXxEWASerAj1jl+LtActfbN3/UmewhoaclGp5RrkoKRjXb57iX3L9jwcvOoHft/dqTj0PQvJ+paCQ/lyJgFBJGZlvz3m3z1QHv0scBtsMkTEzDH5JEwzX2X+0hAMehey2QHKA6ABf3LBwkL9erJdJndrIaI3uiyZrBIjnHX1kVBPaMzcT7Qt+dEf5x3WfJqixH5ZJbea81m5gTAWrFXZ30n97+2UK5FPZNqNOur9N2X6X2esOeEptpS8klLPcBzHEzg1iW4GJVAxINXXrx7JD63ZA2WwDoUM/u0lBpPCuMvclMeYWHP72Y97htn39bR5LgeNWkccQuAFRQQCKSx+rP0abmuk1Nt2U8lzmz1uyY8xfFVyQqaR8fx15VX2COX07pqu3TAdI1YJRXWCvQhke/E604Sv6/rQN0vq63egSOwHGa2lmdqykOSJ4SsnT+GX7ntg8ZFfkDnmwlYYbV7tLkH7pxGsfp72w/vPgLF1/a/kS6SP9n9Un13bd6cM4X9+gjcAbHH/0RvN0XQBmVF+nr6Veuf7h73v3oMKZ/cNrUH3dgajVj2myRbSYXWHp8ZFKSciTwygye4wMP5Gm93YP15K5uShs4SgAZsKGkJrXTTrpd+5Q211Xajm1qejD14GgaWw86sR6zj72aG1lTOUDdSIoADAdrvL/oUt/sU18fVP7M5oXWLIYNhkrI8+SG7x244AeB46YT7NUCNx+rbDUEOAywpaYsIhgDsh0Yyc3lQgDNYFCFzHptTOMz/2jgYgDFeZwcQOuNGWZnCXbRzM6sXX8PmDHQZA5lubMNkw3zJA9SXs7u1G/HwcA5O3MEA6QmKlSqOIrlHpzHLs3hALja/ZFRZUDfLMDLld7HYHTUjiygewwZnVVlsketGmKJbRXWKs87UkpLDE17Bd3AAtozFJ0dJx8zNgQkCDYPVcunykOdQSPGyicAET6r4yBpK2aUv+Lxs7737PnZe4kG61PHAKlflcBYvo+nOw6zfe6dNBWLRMPcITMEO3x4OTqFeS1gObPEkeSERjcAcnzvKrHJYeddf9eIr34W3kaU2wgny7cWQHKu+94ZwS6docadZPVuRiZEobsLuRV8n5oqDdQtl6RXn65Theoz8AepLa7Jyz2JjGE9R38GAoRMNoHsSV2wWPgC+v1nafLr8bi0kQ5fehy4tu/J53PTH7QoFu+Ylw2EWX8i3TK3HvODrQCHszcIII7z2+9TnyzM5nwWu2aNCWyVyUqEpFzUv8//NtatY3FMVuDxgHkeAERPmOo5aq9XQ1VZME9EMKBlEh2VP6I06nqUAAnk7XJ7i+HAMx9YtSBwnBr3rIYx3XI09AQB1cAg2qvMKB/0XgchA8iYZTuo2e97hsZSe12pmJL/cn7dZwRuCj6PLV+Y5W6XvaqgbD15jpVki2nT5nlf1gRAcdpGInxAYcE6nNTckL4BknBIHiHB7KULJYHIWWtyH3MzIHvl/kq2Eos9AgSS/XZPqRU0E5Y0FWymNLOh9yyGb94tZ/en9XKfkX9bPgMLrb5GBMavAI5XqR23MAy0G1MNWRUDYK1vLxDdOo2pq7vUf3lK+xaxRUnAxmrCaI/ifOOjyPPobRmPl7sOv7dSgWbscUrUtGnb71J91aRm36a6Q4IccZorp1lNjvf6wPw35xvj17dDum67NH5UsbqBiRwsEDQQH8De31DyCz0fzuD4yz2387t9T42VOTGGmAPkaz6Rx0uyzVjLasbD6T1uqLWP6vfxBRI5IFIwVnw+Nennts/aP3Xx4cV/l76HzTqftAU9z6XXNwI3+Sev76znIz+JEZimaZd+Kf3mdD3+8PhF/wf7rvt+JKWHNqUOEhl1lypo6KEsML6y5mYEXaxU0jbTRTXrkxiPd+0iFSB7YzywChEsNCrJQ2OcvkkNdMYZPBRTwWfnTI4RjAWMzIaBJpiDaLg57pwxjk7oB5aVcvPKAA7ENNBo5+xcPeq8ekDlhppHBahy5mYst5YZvMtbFphVmHdR29YBrcyIdIDYwdAMms8bYuazGEY1sDLBpuhS7mJC2Z2BbQQGFZKr4VcB1PT5udyJ/h4agi0eYgbas6RDYFj6OFGSY145EQF6nWOJCC1PhEZdc5azH37JKDeee8bznC23PAddUwN9InNPTmh5yGqa1xtAV66rsOmntGkKOH2k/YtzZNmt2LxUx+LToGb0gtVpp+J9Oyi6Ks0E2zIP3SKeSdtHTWd/FWA1j6GD7Pk65u89BkfLOMwwjZVFfrPzdeyzL7FYjbODo6UBI0EfbNSsBIJNV8kpvpNgZhmVorlbEjqn5npeQwGK5VQopw93SGqfmOIGlPdkk09pbNW4E0kFzJ0JAThr5A0YzWvDFqDdH2RS3FIY71lAqj1eb+BZQI+iITy/9iKt4mv8/k6wfzL6OYvZmtfmegzm9u0ue0A+QgR1TM/dP398L6fXTwHPZTUjoKicBGyhyalYxZ+be4HjYtoKCEeC3dhcXh2YtZ+9YsGrA4KtsMbcERgXt8Js8GJglqPoa0KJFFTSqJknvhM4p7bzKPkggOjI9RnDnJUO1nAuW9CM3psNcnA86P7nykezh2d4/C6z98R7lkvH3uZPv2w3Po/DDOceJSLO7JUTGgtbzB/L5yVr1pjsismvECCHrURlhc1bq67AzzHBow3K5omvc69wsu/Rf7EOw0GqBQ0kDwQeJ+A3DdjkaoTYsfLWqm+ZfXJD65VCnqB5ytI+8N1qEnAAijdXVdru0WASg0HHgPKLWV6LPRgw3tASh9zHIXUfT+kA+UZKd1l/giArLLsyl28rNqP4GQ+YwY/2UV8j9APM7lFaZYL+Mqp/t2KOH1oyySnhB3KJ+U3cqayRM30C2nzYx4F9ovbNIQ0fJum6AxxHnA+yyIheUUpiDmdw/NGe/1M/cbTxHhsUH+cmgLzYcTX1dnDcRBJREUffpGHjdhKg0LR+qNI4Tn3TbP/69uLiP28/SgDIf6GqQAU8v84jMB+B+8cF55F8p0dg+nT6crpKv7X7dvdHN131u4dx/CaCDOi7DTs4Jns2W8SmLPaMs34sAGJgRN6QvcTScaaOM7wcdHqnB/MtvTmWj6JEjt3OGwYF6aCGLnSuxtY0kUPtnAcBLOXGrkSuOP3+vp7YcHPcTdQYZxMiNGfddARL1GneylbBYkgVJB8j7v6WjtT7e1lF8+14DMD4pII8aYCZ56wQ1OQKxqD3m1mNrp1MaF0Bp39ejfkEjrAZncW+zijN1e6umQuBY86lAoDPGLwsFy3XPoOzwCYwQNwDhQyOO+MU6HAGyhebpzEdA+wd3hsB9hPzh8mBAo5nfvjR9d6QwQhJq3yWJVgewbQgKSD7fMIF8CDfGhkuyx2zVbdGOjN2ttxV2gRqPi8afPpnuRcAMI3gRp4behdZnIGNHkeSn6csiFUq2R+zNncG88uAZh1SMk3BPO2KnEIGOPTAad5yQ8GcWsgTjXMS+5wDiy9pJpQAOu2CzRmDdzu4J1dyg0uuQ2PuGsYyDRPnPRp1bQ9b2vq8fmYSPgaa2xpYEDW5zKA1ztE1kndenzygNaEgg1xADwBysMepVYqAGz0pmFzPaS09j1yBJj1eexr+hCULgtkLwJ+JtthQ0eaOHzVWkhjE7svmtgTG7aO+fH7LCof5Yo4wXn7+67j5+qnj6VZJCPYw7NNKnM01jPUnMfOVYPI3G0SeG00aaB5+xm+YPARwFetZMBnYDNb7jwB4lO4nkjRg4qL6TE3kXO4AyS8hMiWZGNhkeVb6mPq8EErGwJja82X6EOMxSRXY1g77E9jp8FOtN44AcslbuNxPHqMAciIhU2y77jkyUVUpea58u32NnN7/jiSl8vIp7Py5jQwyNlapOk8Nh0RqltpaouX6mXbRGsxnKRWC4pq3ABMntDRwkBxJRvrKqLYwfojzgsx8aT2pl4KiIp0L01z7hS847Ytq1CM5KvZs2I5shMivBskb2UclQeFDK0moqhhraPuQ8r97P7yHf5Djn1CZ2qT2umYzzvYA9lWdK1EBjmsftqfMgUcTZsh97FP/YUpdBseVGMt7vD3jCI67qT0C4x5+O49yBIriRXk2+FyWGIcsZgO9cTTtBjiO6jGOOQBykRZm4HjeFJHE7tO+6dLwbEwdKoBNG5/+kIHjed99lDs/n/Spj8AsFguki9sBck+UOllHBL9sw72I0SrnJLHVENtI+4pSK+20+/9SO/3PF99s/+P0lfRzVVV99tTH83z9r3YEzuD4qx3Pd+Jo0/Pp6+nT9Lu7T7s/VF2nH0yp+hCMr347pO4S+tGHNNTXqa/QjMsTzrGE1ku3VYbqpsw38QKSw2l8AHX1nRjtx7sJMgz6OrVTS4A8dVNKyKF2UEtoU1O11vhsGbDm3kSJ0QMYWEictFPqt/gC8wC/A6sUkjtw6EdCoc5WxXPHloY4eQ3fe7xReb/OfNsGkOUMVkBLBGx9AvNT6ATBbOIuS1ClAOeRGe3BEb7LSTfmoetECgvRMZ1N6OwWMBcBukBL0Urr8r2EWHhNMzjec0VNX5TPzxGqzCg2mtGpcTr6XPHsLAC/YT4BnDUN3SVDzj/lLHbDs44PtibZfupi135/8r1xPNZZHEpslvTnEqTgn132Il/5HKimTnQEz1fBcXvP4u4JQIB5mjMolpCI95Qvz2lnBY4huxQAbWaa6T2cYo7yLpr6aa5zkltDUYHjt73W8M91cHyGfpZzrZ4g9O/IJnp+JjJ8KyVBciLaKqgJjr9QbwnekQM4jqUCtwka1jOmsZ2mh7yalbtTZqMQHHXFvB3oYk8J3UiwVPnMazTwRPl2R2ZvVdcJa1FtLcY0TGKU10h+kFleQA8HZbWXKAkvzGnO4dX4Guxu6zj7K+Z2PDw5v/Jk7RHqL4u/B3fnruC4zeqVGeCNN0uwOO8HUCQZ5lUbdmUBxPODR/Y47SIblsqezxNpJgpVC7zye1Fjbj0Xan9CooLfrfEwKxcMRCdYaLJVBjxTtzmCfdEu8+AOfmK/qNH5dS67kvFHY5BTwkeNx/mdk9Qa0uHfaOQXj8v5BzAy6N0HiJxTOlcvncHx2+zejX+3xA2GM1cK5DyIpxyX8cEcHDfHYLbS8roLEkth1wmXhDkN2ZSS9OC/CZBLggogOYHy8G/115EmOaoq897NzJGxGLMcVJFVy/5NkDvSylEj4Z77kcDxqa30b1RmYY9D5SXlg4yMwuY/+KyV4TzoQTzOhxl/TFuCtw3A8X2dGlStuvwHH72kjTDeyi2MaWxUcXQAs/kZSDm9WOO21n0XUCKr6MzjZ9/b341qj5L09L3Pk3cOkDdDS/3luqvFoh00vpz3asOpPZLZatu4MM7NqPG97FPXIuYfOB/Z6Bq640Z7OycHH2ftvAtnXYLjS29JLtuplSpyi8hFai4uuUDZ8kKwQHUo7EyTqq5Om2tUxSMh1+Lzz4cPur+0/bD98e2H279YfVx9+10Y1/M9vJoRuD2qezXnOR/lCYwA9cWv0jevfvnq9/XfPfyRdmx/a7tpN2NdpQNYwADHoZGHRovVQUGE+MAJzVVi0OogKHslCX7Kjolrg5JZeAbHH21mgNG1Gy7IIKTvDWYBmrmBLcOyRjWsmzHEJPVsAQGeqZgtZLwYYxz/7tAxnozAyJw5FiGIshqPNhDv6YnvYvxvYo5jYVM/2FCwAqy4nm0py1d5MRq/GdhizG9KPpiWPXU/CZCD0SLbINaPgeumbevBKBvzwfkPYAqx1YBHuYbyqUcc+v+VtxzhXX6HeouPGy/Vgdmb5tAxPuaiIdT6j/U1SzAtsqALgGX/smTCfaevYmvrEREOcpqINr8RApM9RVfXX4tnoTct3lwbsLcojfdrwP0XJ3l5oimNSM4ROHVZFtfAlmNN9idPUZo/Z3i7NgkosJlNS1vaxfZeRY2hn4Yf28FFHTcfbwbkHQ/L8uqP15+jqsdSL2sDzDAADUltVB3QE1OfMEDWYc9SQSaggeOx8fJe2uS8dOAtgzVXZjJKsiWZbeaVEhkcrBIeP2y4qj2MCKlTxxmlX3hzbovDsXa6zYHs/1RvUtVsKMMiaQwAHr3mJ4BNgB98ztCOtFWI5mwG3hOTXwxoBMcdwS3gSFnJd0lurE/w/OSP/ny8JBaaTvaJmyoHykHnsjfxZG4jORNnoPxirc0wRn9Akr8pYFKxMH5diykt+2cJLDz3Hn0fwr0wEWMNDVWZZmxFsshNuoLAovaIsQc4Yz+zYaJXOhgg5viPnMgZC17McfSMKKBOfiIua2GyTUPy+SNdcs5FS9I4WM7+FwTQxfwlEOdzNifMllb4zBy/7/4T52we1QU4vjz2vGeRMagDgDJfd7GKI1Qf5IMakLIE5H3+giEOYJza5D5/JU1F0jf+1jemSW7JffeP3REJWvZadSXRjHkrCRFVvkgrH7JTEwFxNDWeWkhT4QuJRYHlE5jkSDgSOF4kkx7yMN7wZzGu23FLwKq9bgiSMxaBPbCkOTc32oqaezlAW0h+9NtD6rcAbUP1h61Z33zc53TmeKZp5YqDlU3jDY/Bg07n1X2q2zb3yptWK3nTYA4zptukDVj5vca4meA3Y8+Ajrjem5luBMen1NVodtpxnMcd5uOQ/f2yZ57t34Oe4Xv84TVwfOG1mO+/GCQz8t7jjj6JVUcWmRU14sZ/8ElYHY9536uSoukarpl92l+Pafi5iw8v/vTlx5d/Nn0l/XJVAQE5v973EbgLPvK+j9F7cf/TND1L3+r+/uvPun9heNH/82movg833uzaBL3QziQyhk2Xpgod2geCpOMoYFxNU7zRlVxYMcmcPW6AgvkjJUl9Zo4/1gQDOLLtLlODkrsDyuyr1JAhY4zQCcxuPFs8V5kKk+tUY6pqsoZrAMbxheTJIXV1T7kCOKm5vN+ATpWdauPiKwMtjzUK7+95DW84DW7eOjRW2s5ZETQwCagVLVrX5pZsJunEcuZJhBKYQgcHfyZ4bhKbLp3gzdoW80Usr8BnXO5mq+Ds/KaOcLzw5wWJWQBr+LuAtmU7ohVYbAna8S2u9b9gPs4u7xTqHC/ili38hkPw+gk+vkRLpYBAcvxzmfgNk+Um8Hx5+bQrZhoIxAUzYYirH07zpVfylSC6/SWQ2aU57rBEANgM7KIONlFdO5E12CxAc2nih2nO64GkA+0iyt4lLRZfyzl1DFrGSbYYt7AW9JfT+6NKSSUrkcvEM+N1LjXjUkMuV0RbDuae6elymPAsgblQn1zsSUkMqHGj/5zZvUyOOTu56LpKPiBf/eIfHtl4OTi0TAEMSYscQfnExp2oCgAbEM3WIN3kQKWEBSh4AXDc1rj2qPlY8rEu5p4z7DKeejoTdKv1y7P0Vi/6NIh+nC5eOa3Lmqz8aZFTWnvH4nfRKNraWDmIS2AdH7AMKHwC+AdxPfr7lZgQqK+9QOX8zvT3vwMcJ9BIoFsgTQbRrXHsrJlnAELJJs3SVuVK+TjsoqxPuGDJKINiFSFMDVCdgpmWNEEWznTKWVliWr4uk1EY+P7Q72Cj7ziT3su3zeZPkWeLU3JWSLBIUuRm4CcGL8/21TUaYhIyYrXh0K5Wmq+0hTYPoa9P0giaEHv1Axoeq9wlv49VEw5ajzKE4gBZjw2rguF5kNzkDZYqDyVkMPeGlNCjAdVNrYGTzZDQyJOVEPjYXfbft3RigZyDxpHNvkmbqya1w5aSKnxUJqvlviA1g7HfNADGe1Yw4zuTCCY742BZdiHMNjib2ochxh8Pr4DRWpkAACAASURBVBx6xMF1zX3u5SKfsAmyxVR0VZhAr6SjfxBrFizy7bCzGA6ZHswjabz7XMWPkMTsmmtKn41bzEEkIkSJy02nsn/1iONwPvWTHAE3ySdN84rre5J0kDeJUPmJ9WEVyfA/GpKp9IXEJuxPd93Blx9SnX6+3jV/rv2o/cntN7Z/q6qqL57koJ4v+pWNwK1u/Ss70/lAb+0ITJ9NX01fpB/cf/uLf3O46n57u91+Je2q9CLt03CBJjFoaiTtT5bBWlkVnMfR5TGo3whHBS6gAvMN3mdAmZxY23wR3BJlQNB0Di4ea2Kg5K65vkhbOkxTakjUY1crBZcW/A5ghxkzk4AEvljVOaU9nPVdacDZtdcqBU09A2OA7Sp5qnlI9vZksywxOgm+PBigeKwRfNrnFUBxMzzjLMGlfAjlGsY6bfsdSzWlx8pm9mrk5uB4rwZBNAlkBgocz+834NIBTq8zobUw+QcH3p2ZPht1l79YeRSawqEMe/GeJWPUTdExKB7QlnAMgTC3baFrA+wAoWzg+mvNLjriEwGqmNvQsRwcCj8tr1pB0B2m79FYLMFGe36nDnVz8FnmgpjFOorPNT6/2pFuAzLCcKlMfY33awxvm9yacg5ShBsgiu17ksucBhDNta6xp5n0grK+mlco5z401wQrfK5x/ANQG05xPN5BVqA8kHI/xS6uPck5OJcTA5lNprH0OZqTUS4hYMkENioUdVHAJUEelF6LNUnZAHyBfWbSGGDhCJjH3VlwzcR41KEuWrG+lk0+3myB5yz03AH2QFYA8m2Q5JrQ6BsgkElzQVLA+oimqdoQIOf/jJkp8KksxyinEleYv8dB8lh1coflcMLK3OWTJ1abs6HDui1HK+HjmpWQHJFVTeTDL21AsDFHIPtqqLl+M+E63XKIIe6yEgL3nGmNNezQo/YQS6AaWk3AiuQK6CgXGQuwu7CfQAefVUW9gtgsZRH9SDx763kjlmjpV5H3Cr/F2QByFtC/YbGSyzWAnRtBSAMnCb45SB5ATK2vM7njLrP/5KRapJvdJ5HxCnJaeX17BapVqlhVWQRE/Vx5JYQ9ermOAPWxwibLMinx6dbTWcdo8CY/dq5tS/CF4COY5HWqu4aatuzjAD/a2ynggOZae9NYnsf2L7dXlBs0m0aZEIC/8LFbVWf2JCkBIFfFx1Oef0jMbvtt2lzVqUbjyGGbGkv2otJjgwou3CPIOggc0Neo7dn3an95oNSHN+LMwHjIqhRJFct4e4IsV1Y98fXL9WH2k3s3Ei3amyUrofXDhDj28q5mc87m0KS2c3BcshQTwXHNeq4FKFbVfeo2V2na9WlCjAepTMT5bMLpfX7mDeXvbwvOn3wfRyA2Wc/3H/Z4zs25Qc8/u/8h+y3sqVR6CVegr2p9UJwDg3OiCgWSss2LXdpVF6mbunTdX/1ifdn8r1/62oc/nurmr1afVN99H5/J+Z5D7HQejPdzBKZpatN1+mb3y+mH9t95/se21eb7m3rToonRftun6qM6vdhcs5SNendwBKEZCR1J9quGVrA2UzdOAMjFRDTBFWNvST6lOJ3qKzwzfe/nQ3jwXTubtYytH1IOUjmBqokVROJZkKnxeZtaOPR4xNQHdda4geN4kht1JSdjks6WGHkIGjFPhosxTZBVabrUbfYmpzKy5N0ZiJTUcHKiMbJwZTjfQ8DxO0CT8xF25HAx+1aPc0NQ9eDHtnqA0/pq8+ubwz1rsMv6uCyOYoFlZAl6bJGBBmNSCXmSo+3gJbqBb/YA0igMbNqQ5s3Yc6XsgcujSDC2sGGJmRhQkcdjfo1gkvMTPK8/NNf1mSjF4O7TEYDvYOuJh+WMovX8HKQ1ohb5+igjWL7xFSW5j+DRU59dKwG3uRGCP4FjURQhAqvFo5wH0PGct8ySnJyY25BsXxhEFS3opTnX1bgkxPEo4a9Za36JwvOjGn9NmTj+BnsYQ/mI+Bp1nRHzRTzc3uznFQt6nqOQfIfNS9M45p4WAEI289z0LDsGUFFRq3xKG2sgphIbKARFsL0Ahs4kBFCS568Za3+KZV0WWY054FPkU2yRBJGXYOAscUX9cATRtu3i3B0rwbAbl8adNSw3m9CpJFsgpdhnarCo0u2GqhxKgipjAP1x2HkHQlMaAoP8CLCm82APx3rLMfgGEAkACFpfW7AtDZwEkI+gnf4GwHiwPaVx4OC4Y5UOsvm9+rgV8zMXE1lYnRMpq1P2+b67gdb57EpmZuZ4T5+dySqwBJKV9e7LZQkOriYXV+5U255B2zNdlaynxpPBdDeuuWwVBAxOHUDG2gEj17xBykDw2H61ei97VZhmKGQmyO5igqZJ/VXP79KALknXidl62GhrUJgluEx31HshZM0XG5/woKllzGuUa0qJMGuAqPk3pOZZI9m4jTSNxSQva3qV3DGjPccntnxKd0tQ3nd2vf2f0/5QZm6c/HmzD3JB3kBWK4agH6dqnumzZPXq/J8NCpiFpmNP42S61rTZqmKrN2q+KfNvVbAAXWgvkbzFxEFchGb2kCZEHxRIV8CnbpRYhM318MddIFexIAMAxy9Vlqq60apB1Qy1nuFfb8GaVi+fHvORzTxtn1pJfPEvvo9xs3Uw2GIA27DXPJuXnTvhCYSP+t5d9qL4tJFA2B0EjlcH9D7aZiIF+xSRYCWZPQSZ1GVvBI4fnnVMFEhyyxqg+t6el7pVNkYCw6KJ7lNOLkimTOC2bCTmqvxtZ8d7VSDtKebmdZvafZt23U5Vf5S+xFz3BILNPFZyjalLVyldDGlCIgL9pPA72EHbYGX/XsUMetkZd37/Q0fglsjFrMPiLEcxlfvi8X3zCtvylyVRqXgGxyShlaTz4tySbbOG7NyjfW/WGbEW2tTSdoucBX/BqnLQz2ao08fjl1P3eZ+GYUxN06RhGj/txu7/uPzyh//p5Sfb/6n6qPrWQ8f5/PmnOQJ3WR9P887OV33jCEzT9HH6LP0DV79w9QfrbvND0zT8PSwPR4Oidkhd21Mew50w6rCSPaHy6qjt5CCNB3oOyhagzR2zdTf4/KjuOwJiBwh0CI6gN6UyZpkfHQ49nSiwMNB081CnLcoZxzboistrF5Aux5S4Va3mLT0b36D0uKKjOn7Ys/xOXeKjk+qyEcUh9zgmz5cHMq/WjVdExnTnDq5ZuJ8lCKzQVRvpLEjTMRxMKEHW/Dl5aLcE59wX9/PNPsUPlSsHc47nd43KWbwocDCXSebnrM87481CxXycOC5qZhTWnWqHzXlQQ6rCsrMAzZqq8bzUILayTXcyjP2tUnnIgpSL9rGKOo/CWsKN2TXxspq5w+TqFn7FE8bHEC3hKgVY4WEdXLMPzMLrI0eu4PJynkqQe7QC1z4bggDcjssGnFy9swlagDWfHw5+FsAu37U9XzmPpZQ/zKj8UP2O5wCqy9OUEluf05rtWhelAWWZIeFfvgbsV3qOcyBZshq6hvz3sKIk+X0CIMcYkpVd7kEJjhBCH4nIx/DaNLIXAN98vZenk6sg7Dn6KMyfn11Lrjg4HfjBDvbUxp4EssGKAiQ3pjls4qbdSEvWGodKV9YlRRBkQjKkPNfcANfnfGXJJZctyuXTXhUhcH15z7OChvAcfa/QknQ97yJn4OvC5S8kESCwkrq7kFHrpjShkKwHOGrsnEo9KqqqUfWIzRX/t7PGy/I1xtlM9wTJdqFI+mbjiwTMdmKSHuw16s4CKN+MqR+uCRDx2Zrx4FgA4EJ1y8aZzape0as8eWyFZcb5XhqDO3/+vhZ9EfinCqhw0g6c/MNdQYVTbnpJtoRZHu5wceJbq1xuuIO1S4D58OGwYc17bBlmnwrh4HMbPnsqmQGueQ+wXJIrImW47I+kf1JqkaxhZZL8HzLFHBjHabS9qjqBiX6TuOCa831Q/xKOiGdffJkhmXQD5FboG0+ae8gHsyE1mtJrYuU93OwLpuPMntkemP0JG5m8+k89ZruBYGX1G030l592b9UnZt7KUapmdncrzdlmY7kyFPOxXrvxuKeuj6bva/OkpfmH3rTYqyhcFgh9e3olFTdjk/Cfy7NEJQrKSIGH6yQRklPssVrCEAAoAHHEYwDJKTuFedgO6VDvE1jWTFqKjqJZxbmpueuSQLgPrwoikJoqAkoPS/m5rXQ5jzLG3NfA5rQEm9aYyDCQraGkyottars2JSRec/JLFUzMG1jDckkcgT0/pPFiZP8rxB0uqaKVsKjSs6Rw9Cfyva6boLdqZdx2MQTADdxG3xA24bQmOjkeg61i4gXjvU3tfpuaqyZt9zuzk96TJZLXdGYdv6d0HMY9XSZKZx42HXtKERMwotVt13r++9s3AnnPm11abHicV5Ul8W1e5HykzxmnwRT/aWXTV/IxJ8oFVrtTduPWF64vmvgYVxS5vMU73AZw742kI81d2EFU0Ned5IaqA/piVV2qp58f2+HPfPjNZz+Rvpx+saqqw9v3BM9X9DpH4K5z8nVew/nYb3gEIKNyuBr+ye5594frL9IP1kP1VWq3WfkewPG+kePhTYnojIMtYcA4AxZ2WX+oc/WGb/6dOp0oLdrkvJmVStsLu0ksSDik1NwyVgs6lwMcvzjIaaduPGRyTO6GevEZWKXAooLBWqV1Y1upi/nlnk7qY7yWxktBDEcjX05mFM7KoR3oWEZT2kALm8RZ9nPw3A/uTMhTAepq2DpLiIfATAvMXHw1pNSvuIUbwOi6vnYQYgXWHSqwdJ0RjU83GzUekaZwYdFm0BxAVAYwEaBgriCJos+U5mqQV3BtQ32GLzJm56/5c5g/pXxfBv5lMrkdYvHuo+C/nM3PGpz6xYTgOxZou5/W3bzRqa1rE/iGivkMcB/toGU0CL/w/AVgi2PlDM0yR8tFyNmbUt3UeU44Q9avnXUc3uDUPur9J30O8+/BQVxe7pJtzxkXBknBtkMMGhAEtnmmOjNt+fwyk20BjM99VzA1Yq5ojrwvJtYSnLjJ5twVBzypt54fsK3DfC1zMMefHW2s/clZWwxQCYaryZ9AcmsEyIaADpp7CXSR8vRAP4NrLh9gwEkei3w5hT09k3VZlEXMq3SMEhmTPqG5VwYyuHcIpKT2K/JVw6SGdJ2B49x/UMKKhmpiW4r1F55SMM0oB6f8Gqa3lX4T1PTGYD6fWVE/kD0JHfKh6fmdTesaNKkDNCRpF2udakinPTcClG5cQwIJD25TJQjixGRVFobJwGMJqDIjOqNXhJvuIK1000w9/83tWWTR+94HyE/7kAHgYOLa3oSETQOpAIrV6z1qoOi+UDC9tk3wo7maA/G6siPu75RCDl9otnYJiqMZIIgBXt2ARA2SW0Duxdbk2kfjQENAPSGXQdqjBHdIcDgKO5sSvsBtZgbDpr84knqeR296BNyv8j2S+6KxnIFZesUNGiCClMJmk1YVoaYJ0rpnUtWSgtle+t/RrBjiGTVkpwbZPADqjVjU3e5AwoonM3VQ7C1e6eDMaiM3mX3G2oHhe3D8ZuQcqlu7lJ4Bq0UDXJun+6UiWW2oe91+vk1N14oE4v6mVYl4ORD2zB4gLXoZbSHxMUliBvKNdp9v+tm/DedT9RpkVcAcxxxTVRf3QsRr5nswSYzmpwPA8V1qXqAR95bAoABDc26ybQmZAzTNRvXCdkzpckrDrmdC5rBBLxDEnkWr/G0Yk/M13H0Esjs287OL0InPC3efShQTXR7tnzrWHBw/Jo2tgeOPvX8JIMfaYENg4CHwcadxnDbD354uqz+3/XLzk+3X2p+vqur53Uf3/M6nPgJncPypP8GXuP4JtKwX6Zvdd4cf2j8//Nj1F/sfuGi3O5SakADaTAw+Uc4MvbHc6MS4VXJqrAR2MpkM7yr+EtdxfusrGgFRu+V4WkCYWXEGriFIQ4Am1nidNpBQOWzUuRmNWToxDiiCQ9CrIILc8AguDAnajEyWsEEQ5or0/7rtNZ3Ux3otoVmxxhYAeby4GeN2wZk5Ck5js7FVqHuVuXUc4x6bWcpFEFupg3yEgeVEnnUPkjsQRC42v1g30uzG9Q+m26/3Ub7I9YOtVJ2MHGrJC1yXpKUYJWWkCmPJzxOBeZ3Pmmh6TM7burmZYzzD7DH4kBRViZjTyNPQcFh9NDPx/EeU266cPw53YOnTDQt/Y9OrpSxIuMh5BcDxDCewSgbhDPK2N1pAmDWzfdD8OKaPR0bx8dwq5dDSVo5VDuVK8DzmzFW9tSR1ZuB4/puOwLnSqVogv+zfDr564qSA5vlRFKblEoA1NpHsh2lTztBqBynRs0IPFjYq4LxlLqwtuwXAfpPtubWlhZe52/wq4xBNoZ8wTiw59S6nUj5XRC7ICQSSbKxy9csqLHPMn6q1RCYBDYElbLbG72L9sVLHoF8uwZyZArZcrklDyeYQJR0TWHvLxIdNh8AcjCx+BzPM5sCWUNfUpVmQSAN73PSiIbc2Vqk2jWjuNWZz4vNxDMjHJCZn3OLFO3KABRA4pd3gbxiSSQb5VsAR7h27lGvDK7kkyQQBlSbhY/ZAoKhLNWXospCLLNjLSYrATDQrnVNGt/cduGmGnv+WRyAzg8t6Kwka612SgW/NQy4v72mBJrKobjCWOYCi3BA8JPm493HnQsJFe0Le85xIyV9qOZFowKaxkPeR3c660ahkABKKyjqsWWryosIORy9rv8jRyc55wQTICGUHW8ppuS/mu/TcrynA+Cnf5Dy3XucIBKuhPiu+11lzTspPmSzVpoPEoBrBeQKHc3PecTo8UnumteSjNN8kpcLKIxRTNGPqLxCrYcKXaqRcwTmrOvN9W1ki9ykfPHNeGhx3P9WYzATHsQgdvC9Ne51hj72QyQFUMqM55E5Erh6SYCal8Dqf89t6bDG71dCY4Lhp4mNeOjjOpq5WMbAdnTmOXlNNahDIzagt0d6YvxrA8eliJDjeNQcDx+Hdn5PDb+v8uO26ZL+WFiDuMd7k3j2ypa+ZaxYzH9yrmWafyLmXGK37Ox4PHNfcVaWZJFqqBFMKOIPywWPVD9347fby4q9cfnj5p9OX0/9yllm5bVa9O38/Rm3enXs730kYgWmatumz9BtffOfFHzi8GP7FTV9/P0MElOk10O6tGJAPKKECn4qgDVgHBgJYWbeCCEJ2haF8HunHGQEDwOn8ZMZ02XT05MAHt9J4dIKHRjQA8W7DpkFgXcGJLwxFA7OCRiLmA8r/WaLZKokCUFAN6fYEzR/nNdMMMfmR0q29XFME/+y3C0CylGQ69CHHwdm9jpoUVyLm0Y/PVNi3FkKtUlmxhpSY8JcARXNQAsssN7g0hNfB8g0b5CK2sHLVBTg+HsaZFJKWs4PtxnbNCKJfq/jzZPPM0OlQmXbTAzcw1wvnjt5qtxtyOysDaHIHgZiiS5dcgl5E5yQIunDz8nNaY477p4FQgAm4Ak77BWUNafxisVsyAIGdJN1w+YrzqFQFlHcZ+Enm2OLzUdt6VXO7zBYyK8PcihUHzvJ2Fvk8mAcOC+avgUtxBubq5CqNZMLhXkpvAM4LK+uXVury3gs4PzJ5YcB3LnPWYDKRNTVZB3sJFGQH+4YIvkiyHF8D58Si0npNhcDw+XWBgplmfAglfF/0uW4+PlNWeY0VqYWSaJkzkcFe5vxj7sqY5JhTtZqNwdZmFlhuEOpasimh8iGGGZVrnh+HvZZjiZPY7E9er65hXwbc54zbH+39i0oW61eBoALzCU08xZJEAzuXYJNNo1Y4Nyw9r4zzu00I12LZl8yOhT6wL2eYSFQxHdqeCVssA+j/ekJhqIxRzuUhJq8SDEWZSZVwCI5CYsa3B/te2OKGW+Xh0xiVKqObDOL5b6dGIM7dwhwP4DjtjEmmIBVkrFPLLEs1xdwAzjU0gAZA3qN/Cn6WnUMlFEH0nJ2RAQOgLRtiiWNLQOdOLqYHpCbzViWZddWxXtE4Flr4kpqDf0SGufVVwXzU/mTNBcmQLX1i5uC430yefGHTcdCi+Aame7eaoD/PuDc0AnkCF7tKcRPTwyUxAXaQEisAyCURRIkVymCYbJB7MNw7NP9JbIE9DzrZ5d9IxkBeBPYPSXrtGeghITa4ZXmypJauT3ud2Oo0w74m7jtcS3DcdiOXTnRJF7eV3lsA39GMs3nepqaHDxCSsMpo5kQBEwPQukY1M8DxC2hfS+4jN5S+7/U/4c+pQs3lIcQad1/MEyqQfSPxAOxYgOOHbWr2DcFxJmy4l/trDRwHax8NYcEeh6QNwPEudSalea6cesITyGxB8WoDpL2oIpCfMw+A3Bb5Qs2uWxiSRch0NFgPTs49YPjl/yFBhAR1zwbANfocIKF5qNTAttum1G+ep2rzs/Wz5r9qv9z+t+kb6f+tqupxyuUfcL/nj77cCNw2d1/uaOd3v5UjME3Ts/Tt9P0vPnvxh/efH/65qUt/9669SPVFk67aF8zCyx8ZyHRz5gF7bLlKlCEILiXhuo452H0r7/wdv6jg5LrzKeDTgEXzs8kaH6ys81CnzR7gRcNS+cI2XujHYS+EHw9dVzYFAlADTXrQFMRu5O/bgUypx3k5OK7gNjNmM5AXJSJm0KBdboS6S3l9YQuqeYdAcgM7Z+CIIWI8Wjj+rHQ6NhzVe9CAzNk7kiDwwNfYjYxiHMC2z3tpOU4JsJJ6rNYojwiBXZgFGfmY+JzrFgeHJ0s5sxvZ0kUpgZQ+snCKbF6RwHnqwbvyS2Tm8tKdmufBkL0xHEhOl2keWgDgIJWGTteLCpcJwRIQkPkQ8Ee8C+B2KIY4utplH8jlGzJgG2eMDQdlhpA0ugEc9+vIxw1AvALUE+7hUfLmeKD9Kc3favPQpU9MMmf2FM2Wu560JLLmryK/Ycdz/ZDwNrHSF70ybbAdbqRsTbjFvEqsf0WFRJ03ifQxDuARr3vhlM+c8Hzp8/VX1uN87mY5En8wHoSvSOiEZZnn1/xpqXIjSxl6Ajkw548HdvEbDI/FHVIVMY1jVG9RVNmky5CYNMag2NHYmcVOnRH//fCL+1kLXLR6a0vOuY2TDNdMm9WBf0rqAG02GxZEnyQjAFAypRrAJJmSYElKp1wat96sU2vSk2NM7oVkrNa3gYpesktbE3TDMW6bMe0h7dVOBMaZ4M8SNqp0ouwKG4iZRBzhVNkXzCv021ib//E5uw20nEe2LbLa0ms/v15+BOY7sssCLW2i7YMAGe0/39vwTjC0/VmS+QW7Qga5NY49ADcUSM75iOop/OxJXz5E8x8QJPNxgq27tBtKY/NhQwpKbUfJFFcPFjSwg9SPyAPQJlfiFPNOPrXmtJpAKqGNOayj3v5yH6HovOq6Tbv/9gOc3/GqR8CS2Dnx6ZV4lYHjRliQ3EUtxrjp5rPioa9T20HeonHB++BlaFYs/Y9SFalEIPSfJxCcLtCPQaxegsZWhZElhmzGesUDqx3gQ1oTx3sPzQIcL8cJjahthmMls9GzSSQBHK+ft2nbg3Gjde6NTqMuO/Y9guEAaMkch+znkDo0TvKqrHvfwBP+oFW1eCwA+5crUsio176H8hdqjo8t5xvA8XoPfWXJpZXk8Do4jn0U4w1Jm37bcfyZqKDv85CeG0947N+FS8/2K+5AsXeR5oMD40cAuUmtOjnp1JAcc4/m5zvVvvN1D7EY4w3344FVKEgkjegOQaknJJIuumdpuqrScBi7qa7+dvNh81PtV9v/In1P+htVVV297ms8H//xRuAMjj/e2L+RM0/fmT7u+/4f7z7r/vXuuv+daUhf22zqVLc1u09fba/oeGRG5iR2jGKHhYaUfhVgQLHH7+bcv5Hbfb9Okhmm/gSWDE3JbNAh7TbqVn5oWMaITs1kzbFrFJgsjlDYEJoEwAFaf2ClgDWAJAq0X1nGCddoSAOCwhuYt6/3gaj7tIq7StDoQfcM4LOkwSmDN2cIapILJHe2mH42XLHQWiIsnkmhAdh2oCxrMGtEnAEHHXhqqLLEXxEzr9tATWDJLmXkAYP/HQ4v2P+5ARlB6/lqPA6uyhORTIoDA/q97q/IzZTPa+TEvbTAzWVcyvTLtiCzCiymz8qqCwmS/GPOutk4SwXGGLUG3GV5CrsWlNq2h9XKBQ9YSxPG45lIy5WB2LvN1DloJu3ZhTjP2omCjSxHyCmR2SNbgDJHIE08PICWPlhg/2yU1ciqLOGDOjOD1dWy2AIhO6/oiIHNyeLHiRh/SfTgXyEXonkfPsfAHSCqNQDWBCzzEVOCzPUF8b7cpWvfh3PmsbR7sLxdqcYoLGHp6S+yN8untzAYx+C4g//HtrcsqGJTjyZHaBjI4WRCUqxx9fwopfSSFBFDmnPOys2pXe4HzutNv3BJkbC6wyVIJ1zBibPGDcAzGxCWtqF5kA8oOvIuSZHZkg5OkjkO2R6VfENSAKBkAkCJoAQJOwKVJZNLgJzkXk9Kej+NME/NNooCnpicBbONn8H41GNKYJKTSYnklXqnaEwlu8Kgnne9YWn5MvlSkmnl4XsAx+/517DVZ+/nbpZz1SwWNponRFcThiYXFhPGrEJIqGnjmhGwptJoX9ecd2CBodmffUGenk3lswSBscnNznILhtSJPWNVT2G+y9P1bgsCyeE41Xwv6xKskigBHGf1h3TyCZDb3OR7XOaH/oVOdPssCuD4LFl9BsfvO/8e/DmX3LGnl5spu39n7TFh9xrAvqaljX4NnLZ9k7aHC9pGGWuTSDRQ3H0j3zNNkKdMlk1Kh6kjc3y6AHjZpa49lHiO16EqH9cOYpLQmlvilEv/8aXHhFkerD9vfKy9xH3Ikmg1iUBjzMP2Cxxv+N0rNygT5i6m2XhcL8HxpkvjJaQ91IyzSwCz7rJ2XvqunsYH8r1L2kx2zypiDLhUFYHmAfY6NOVE/AeCFNix7dBqXrqXVQIcjQETfxp/9JhycBzyq/2Eqs0zOP40JsvKVXpyZfYnW3Sh4kShWSGfuV0iiQGJ35kwFMEHoQAAIABJREFUmPyjmd8YdjgdK8Tsi8rpNzmW9BnYbw2N3w+SRwN7HH7h0Ka236mBbd8yTgHRp6/6X0yX6ad3H138Z81l81eqr1S//iav+XyuNzcCZ3D8zY31Gz/T9N3pk8Pnh98zfj79WH89/I7NtLnYbCvTFh9SVx/SAQ4VMmbu6wdvw5tTRe99DoXLYb/dsX/jt/5+nHAl8+ssANfRQtkmdQ/BFmeZUGtyKqA4GQCJp0iingHkeKy1QJoDtP22I3X+RiRRmEiBU4RNEcypqJn5ZofdN1nz4o7kSZaM55LY8essMJtv55khPpv0muFz4FhM+4L1zpu9ZUA7BCiu3+xNFBHIQ9aGY28BAf6m2MI0famxalr/XvqdG2jCqWXHpvkrWPWRDqwB/cQzy2oV4KmyMn/hmYJsrRsuOf0SwgsKlkY0wEmzAdkhKgxAln0aeOFsTYEBknMRCCZgKzPCCRCquZmkJvQ9Jy88B4K5h4ZEZISennc32yaAb2IBnnotkw2z2AGXBs34BbN+7Vhz8nNJLnD0Zn/MYYrhL3M3c36rGJXOEkTxrKGpTvh1+Wx5mtJpzpM7vzuujJIRWhvoAkwfTULgtxyf8AoSFj7HoyyLgAD8n1XAWLJoeWYx1qs0dgr8okfuI6gmZyWh6zimZE+UdNoSKFsyphb2YYk8z+5n/nw8UeJqjTnRZMlmftSY2QQuABr7DPT32Lxnw62JLSNLiQaAQAPU2BtkhwSl1rh/KWjRGipa5Zbai4mvKFGxKN339ToHx8tMz3IiZk9kE1xf3gBwq2yhDjkkBSAt0JnNG8RaJOXW4jFePx/l8lpNgsdJvnmO2D5lHHrJzyCBq4Z1bOBpTHyA5mSSg1HHOQ89eJTRxuSI3W3WbI92UQOs2/XfO4pz2v6c/3J6BBz0y2viKNk/t2l5v42JZk9ee8I2t68GWKTEsxi70stPAMlZzQB9/DrtwFqF1EUwMHyqM9DNJFEY90fkDoF1LWjAjQorOaSPT2lCfqGXD3SSpRM9GNuc+16gyM52obxOo+ULrPFsNWLTjvNse6MjsATHbfPSnm7pZ2ePW+8Y7wnDXsRjm5r9llWc9Pv4JakTMagN7PQSpmPESUkZNopFBQ00ubvEXgxMBEYyh3yowhwvWtWRXPHS42f233sD+Of93O5vKqEaGuYOVWrBzvwcINRWW5drsMclxrYqiFXBHAc4DmmPiZrXPXyf07WLL30rT/EDrHCx+IAxB29CyWWXY7PGCbSBLaRVhpas8c21JSg8ORPk76Ij6OD4oT5QVgVEKYDjSk7ctfLlKY7uO37N4mDNkv26Y3fI9JPHJ7nCYCZDJ0BZn7LZF3relOOVvdNxJfnjTs5482ON66ht32b1l42HEn11qsEhRwPloU4t1kg3pXHfI17/7uVu+7P1ZfPj6Wvb/776uPrOm7/68xlf9wjcACu87lOfj/86R2B6Pn09fZF+1+ff+vyPp37zD1VT1YAtjhI8ZN2Zhd8OaV8djEkl+Ya6atRYZpS2b5wgpdTaADJaxPMUep3P8cZjL8o6tZEF7b5xk7ZJjlACOH6oqe+H8jqylUFWMWwAyhACxw2ggMYfvjBf+NWnsQEwDjQKbKWBrPMBjOc7gIOvY4wEV+iaYxl0wbJWQM+lBnFGlfwK42cMZguASASXM2gd1oA3OlKDVGc8skOO2OGUojA9b9fq9Z9j00s+x9JQ7Jjlm1Hi+dDm5egOS2G+B4jcnJkNmW/LVc5xNSCANsAcCIFyXlWiqdKzsaiDsUWz2JnjA+qHCXBXYviZhis/TZ1Wa6LH5mdVJqI4ON71KBE2IN3lELImDG5j0RBoAXLcNO+ky1mcu7X33sS8ZykwF9DDbOD808dzzlzUnIiJkJ3WYmAOu7NrjJ4luF/u0YQBqHm+EnWbz6xqBh10vcR7ddTkVDN5slyD5eo5mzA/MrBlcyCvN2tCG05RwHOBCChJlyyGHTcD664hXNabmtAaAXqSVnoDCQZL8Dj4uWTJZOZd1lnxezAW8dEthuie8idhXSxocQTHsf5t/nPcctNIqyZZqQjB+1juvO3I6tLaMtvNqh/TMF82ajNWnw+pJwaKbJSuXVM6zozy/D25x9WH+5sgLqN7ZGtMuxCWclctmbt1V6XqkPidQDllLxB4IEkbwMlZpYSNM4IW71Fstimfxsa+yDAJBHfmPcgAtDEEzUujMl0rEmtFOmu2A/DUx3NKCdZVr+h1bHHv9DE1xfwZO5CXa4xW7j1WZyil5HvTrELC9hjK+KBXZlJ1lSQdagLkYO82AMevARZ5Ai+st/CMS9sKX+i+Rjbs6EKXyfNXo+wxyQPWSHHAPtdOaWjRxBya5Kg40ryr0N/He2bk6VaYt277o92Ov/P7f6cnytt6c9YcWduCfCO9IqnAml+aLJQSPMYBx951ADgOJooUclBto2bGdWq8qmmZ/wjzBD64JA47Sh+OkFjZQt5HMlKqPioSJ/HfShB7j557DLLFH7x9B8wYD1iC08YH+xliSlV1SF4G8Ud7MHB82AbfpiS06XsixqCsB1jL0BsXcxzyMd3Y5eb097j6d+Ajir08acjtn4NvUk9IHOIX7CqM+E6Vpi2qpbAHX1dpt9+pMWf2m45jeiT32F+q3lPWho05QZpCWdgREPoODOt7dAsldnPmwamEf/DFvQqb373usHjxs2MaI0213Ti2k5EMgM+Vi29+0JGY3gDHQNyJJPdUJahAck+nD1GlpoG/MLKXTttvUnPYpHpfpabf7KtN9bPN1y//3dTWP119o/qVN38H5zO+zhF4WFT/Oq/sfOx7jcA0TW369fR3HT7tf/8Xv/7Fj25T833I7m6gxwlGwVYlacy8A+j0qlID41SGF0vkNEU8wM+MMssWcjNewSDvdfHnD730CERQhc+JDRqhJQfnuiEwTn3xDv9GAz404ITzLbASpKlZcMdSYTHuDvWQqo+atAdLoO7SUAOoBFtgSBVBLXwW4OpJ5emXvp+X+YCcQW3amSSa2TLOPnSIR5NUcUwBIJW95m91PyaJnUFucz4B4GSxCZvvTCaxSRgGUcwfsrFZ+i+ndegwVu7AxtI0P6e+Z1URl6owxhFZ5R5Q+XltkCStYM2X7O50f86GdGqA3+NirWYZAx0wKgRAh81+KwfIUcmMTkpSpDONX53ewG1KAwst2DTWUMoAN4Fw+lLwFhtaBlBxlvgpzzJTgenLoVTUG/6VmXNXc0SADCDFPQ0YExZgvp5IDs3KolcmNpnvJgkRKxA4lDHh4s92FYS3JMhiJy+zPTz7/ET9YiQbVAz4HPZbH5Y5uK3rXqbHwsUcNTssfxOzCZrx5Ynlv0YZpMW8d9ayGuqUho8Zsg5rSHeq+3LWb1zHaODnEkb4rgakXrmBM7hGqpeoK3h0wNw1uDkKDihz7bhYtq2iPO8XE8Ga75ZrynehORD31yMQPqUD7LKVg7ocCb+zL8SYml1jbEEH6zTffR3q9GJRcx2UB2ANeYtt9H4WPqb+dpk7D8g9EWBjhOqYCcwbBOZIzkoPGiwcNey05Ib5H2ROssms2TBXrXGT5rkobV+UbXH7j2un/j+ZubIrkN2g1Ap+j6UKbXJr3omA/3qjhtIWC/H+ORb2FfeKCGw5qDtnGL/M7nV+7yo4LuNnpmfNktvebeuZ2E/wT7lcTKIlr31r6OkAuSed2ZD8WhJzlLowggDlCaz5p3JJCpTzy+aI9jgB6xkc9+wbP8jJTPCyg7QP4mxIrtAXrzgvK1bioX5HSex5Irgwf2NiMst3ZEDyPJceawSclKEnVTaqXI2WfzWvLNScQUPOVtVDsItIHMI/72uW9aOJrBX+ZZMrdQNL6Dkebyaa8j0utYVqT/QDgjb3plNvFDSbY1mgbDObOd/WdOWmgQ0ViaVidQ6Ol0oqVWygkpUVQ0gEXG/S5fVlapExyj5OcFLo4EM6CWSuQVVSaAjZqiEkyBUqvHhfYYxjcJxuhvfpoYTYyGeuKj0lpCnliIT19Sa1Vzsxyc2ByTbZ5i1tEitfwN63BAWeA2RV2MjhHP4/lu15+HkBCm/o7+TqYvNTPd47kunMSRQl+RrEuZNXD6hXh1tCJraYLM6ZY85NSaGK7TA9tCHwAwYB+uKwLjSfahYCoSk2jR8sNhsqNOpEMeImbYc6ba/rtKVmf0Nl2b7q/vrFlz74ifS15r9OX0q/cG7U+YAH8pZ99H3dVd6yx/BqLmeapsv0afot+1/p/pXuuv/9bd18L8JDlBhjM4M2Hb5TgxPNFNOg5oCe+WcQIbBH4Iy+SsBhLqAxEWD0GJzcFY16Nbd5PkoYgUy8YtkivNWJZNJmainZka6lKwenGw2AqP2KsmI+9JQgC4uPyWXGgzSd23ZKh6ZP6dmG31HWCCALgVyFbKvrjDHz+1jgOFg2xYSxVN61ckWh16afS57d8Tbo0Dd6a1jp8z42sESgDOmQrN3oDQ5NlgED6IFBxsT4GRxNFRgRHC/AnhzbQpwr6zCvRwMAMh69gGEJSgXmmX9Oj1bAGoGmGQMyTB4+f42Zu7gOkEldKTDYHL0PzHFKmuwERPGcMwCrgHDRfmQ2qtkQnL+w8d2QiGWgx1N+pysv14pnA824uSzJ3WMlznbKTxyblDttjK65fgoct8s9dSyMe1+L4RUwyZKECc/N4N35hdr8vTk2DOtjxXLaLCxDexLqN4OhJ+0LyZbYHIrPp8kXtj4CTI7Arhw19C1rajYF7MAZHsvAu+1VAduN+1dJUmhNxBQANNfJf/E+seybJy1ylYFLgoEJMK+7NN9eyTG1CZxPAfXq0Mvu3Rj4PJdloTzw5PzPCTRbvQGAvyl3o4IUqw4xNqpK59U0uWor0zyGzIN0uZUQd9ki0+t2hg9B8rWX2ydPLpb78vXtLGwH+YQ0A5NWc0QEGATEOaZistF+mhavy18g4VQDNLfP56sxYNztPG6h9uyuDTWvne/TGFBfHNsT9dp1z9Bsx8/Y07pLyMp1AibRbyXYI9pA05p2mQSfP25zzg3JVyfLnX4ZAZlcuZCXzU0Aua8skxvj8nHftMhJ+DHn1VylGkuVC6iiwzoXc5ftVNi8U4lPaEUrUVOkmzjfLSHP7ZXblHlBUbuJZskrKiSnwh4tlqRB75YRUhEbB5nMf1kyfW0fXhtUVX7cabe60zM5v+llRqDER1kXr2x++V9xb5/vPkyvC7Sk9FSTmkOdavQEsr5AyHvSIHs4ZrabeyaMUvZHdRauA8R76MWAuXUxkPHbbzr5eSZv4k2ItW7uGcBFcHxFcirLunh8yUQpNK4BzqZUXdfp8vqC8UneKaO7Z+A41cVbMZb7nZqOoiEk7Ln363mZp/buvNcGKMQJVqeWE4Qjmv/W5iNDSgpzDYm/fmJTzt2LkpyI7P84JcgcR+8pNEQFex+yKpDwqXrLYd9z/rw7D+KJ3gkqOhC/Yz/Tvmk0yNxzbrQ+CFQTcP/afFP1vBJ5ZNaThY2tY6JXhAUli5XYyzrlj7l/0YaqMTFIGhXBcVVSg7TFipWqS9UGFMCK97pDz7ZDw2ad7GeSNqkb+r+TLjc/dfmNy/8kfZL+5rlR5xNdDovLPntV78ZzRBD3cfpW+oe7b40/1n3e/55NVX2lgr74RZ8O7TUbtbDsTlTUWaO0EvgZ20v0hHVwPOtUyZBuKLvwjgziE7wNZ674M6SCLUrWezjZm5TADhikM05gIjags2fpjEc12ezT1KIMGCWaaHgGeRVUGwAcB3LkzcwA6Fnm9wQ4+LqHE+cXOI6vKOlRZDhmqCOZ4drGFbeKIeaguLNBi1yKBdIExxDVat04m4wACYLoGcOzCLnxODPg3aCyEMx6g0sHs+cs19Mj6M8sM7rDW2O2/yZmEJwUbP4s62btuORPXOcb1wbHmrfngJoxl3BclY2Hhiw+sJm9B0aqaVrPpBpkMFwvcQa2mlduoV4G7dd+noH38f5zpHXLDOQgGvhxr43RgfqlAfRtdb69CgwqJ2JzQAMyyyV7YnJ+QQXsPb6n27GRE9u8JXhmf73Vli+O5cb/5OcWbPTZ5UMDVb0Lli9PBty8t5Ry8fh5Hytnis8D73j9pfFeToxFlqkB5LSZbB5pa9vsQI339tgDyzEjg04MVQPZDVDPuR38jDUFJukG1T5+B2qSm5nkbsDmCIvhJQCX43yy8SAQ7JqjSISDPS0GWAbHTXZlgK2nXbfJSQq1rU8GTX5h63OoPDljBLkEU3imOVEHyrbvPxwzlpgo+WDMyc3QGHOyYXIXY5wP5QvI9FR53FA5EmdR3tO8waexlzjXTNu9A/vtQ5Tod9YkUYA6gzdnNzmTypMqFiAi1qNiNJlSZzf6Pnu9Hqcn6osVKEvhNoC8gEM+fwXIeRMP/VZ5cqkTa2/XdyaXyaRFBcMm1WC2dmLwksULBi+CZgAA1MZf9E/AwXnQUn0TBTXcLCjxUqo1tNeiaq9P/QU0ooHKK2GD5RHlftQTIiZt1CCU98Wmtu8zc/Y+s+5VfqbESPMSH7elxawe72/OABd5ohnR+M16Ah3qVAEk7+GzEz7PALmqdEyKziwP9ycSXmRPYefBtIbk1vQMfYP2Rm4ZCFrR6wV7mAzJ9f33TqO0AMczeGYQm7NRVXGjRLOD484cvzgFjuftcEpdJb3x6WJKPeJZgOOoYjVwfEmOuNO1vxNvWoLj5o+GZtrw4b1aQHr2YO+DuT8R5Nt9fmENUeUlqRI8VKzRRiKpJ+Y42PsTGqKSOd7RJN47ufJOPIOnexNCe+pCHgu9XjJZyvw/r6Qqe7Zwhha4wgT2uXnZlFXCf1ZBwkbUImp4Hw7tZyNjQ4+5H2UUvSGp9d7JBDjVNWdZNHp6lIVS5YUIhsJVNl9MaYIWeT19p/mg/R8uv3TxH6ZvpL9WVdXnj3JP55O+shE4e/WvbCgf70DTNH1p+JXhn7r+9PBvpc/T72ir7SXkDLrNPo3P+rRvr9OhRflwL6eawYC0TnNJ/IzlF8Ad/D5IHGjfVFYQbBnpPj7evZ/PLAfdwV5n50FCBRrjG+qMg0XemLZuYaFkkhPBTzQ3RIm+KgxcuxBOESsN2OBHDMUCVD4ua4nhQJBV8ay3z1ElgQrQJJaoS2BbqaFrLnp8S2kUMUfpTLILvEk32Hu8sWYBv+aNOUvlRWFwZ1xnOWFnWiZr5thL3vTcsiNqZH2yVj0Gc0bqanO9kjxw7XBqnjaSW3DGJXMN1hAQ/wY4zjy/MAQVf3MQmRpJEzoiOnoVcCz5SsZKCr/PThdNjzPycwdQza3c66DQiDwMzecytiAc94Xi9kmi/FGA6s91Uflw8lktDiAnr2hmlz8H+7n4TLSVIk1E5pYBRSto9xxi9uPfBh7dbB1dJuLezEM+13Xm/ezMRzr/ecaGBndr8EFcV8f34pq+mYUS3jJj2s/OX9YYZlfP8VeY4CAa/w0nWG3RVPlhdkIMcq1rEpEh6+G66gTA1eWYNgPfzX7wuzd48JwKpn2Lw1nlBee+bqI87wBU5woPrUHqt/ahrtkWidtpfkdJtCexjFHtzGsmZrZgsuockgpXcONVIJ68K+tZLCO7yCw34frPPEQGyPW2ebwNraVShitwHExd0yHvDRxHchdsSo6fVxJo4KhTb89t4w2Fbc24OZVno8vL+Hq2n5oQCPa7y56BPnB75ckUyPl/YA058BXtgidezuD4/T0wg3jNfwz7nO9neQ9ZOwef7qxqLSdEQnWR7/fup1q/V+4zqFo6sOeFACMkY8AOky6+5C3QQFYVd2CWwWdWA9miQ24T2DxplZXLJtJTsooRNSRkdj77IATHd5h/Vt1A/B17rX2hMsuSXLR1Mjw5eUUw1BfX/R/D+ZP3HoHilRRLV/Y22fH5a57A834HVukJPWiATZBWge+OOQeGNTS6ja3plX1WJ8Hj0z6ygiZ3lGPjVwDKwwUY5AfKaUp/fOSUpC/8GsDxfLeZhaq9zJtxQuoRVUEJxRLXG2pe457zrjeLJc1OGziORpwAx8kcr8GEHx+mmX7v5/62fNBjP6sYDhUmZdfCGJb5w2or9mIYU3No08Xzi9T2u+xzZHDc8+XKP7PCj+D4tk/TDpUJqEBX1V+UxXtbRuZ8HbePQCaD5bfGKl7scd4jSzGwx8QuZUSf1htdz/wvzUtGNgTH1ZyaTdKJJ0jmDuD4Y76wV3M3Nj5I8RWEbWlRuP9tgbGCX37BbtXPN2k3takf+9SP3afNrv7fL7787E80F81frr5S/fpj3t/53A8bgTU05mFHPH/6jY7ANE2ffPFLX/zQ9a+9+Nfqsf3t27Tb0mFuprS5rNL15gWdCTJ/STORo6IyEliFNQO1Pi0yVJX/fAbG3+jDXj2ZAzsCipndRGAHffG9mChgoABk4LwwkBOACYM8lEShBL9Go1awMjqyxtMO5ZkjAXMv4XSHq9R44oIeLzOizSzO1YwsCfAytp/ALZv39m/pihrzkoxQazxo4DiZovYegWV+DLDlfd80+GyVuluu62TyyIJlHi0Po30ua0HYqAO0ClqTYjZCkFEP1AEtgdcCxQDykC1qTEtnpjkrEsBPhaQHXAQ4Cg4kudQKgicDw73hnhPVfCq1uT9BmZyRSXJqdii5pvm6BAI1AtnaRB+lxF7W2oXg1L11M8uMXi6tDG/fML2PmPMWYnhIHMxkDpPnlnXOEp+/P15R/NR8vquZ2+1rMGugzm50Di69rC3DuFOW6Z7MWQRi6BZ/an3keeHra5ZkcekMAKWnnGz/gMNw8zvEqEmVQza0MN8CIJ4lxkyHnIEmvWbaW2guUnqJzT5R5i1tcrG0NmkCs9wkGmqy55xJLo+cTG7jgeuo648zl7x68z7TrAWLZZbcyIPpLPKiUZubsYkXI0klNAoEc91klSc2zjV2NdUk8N7CXNVPlo6yMn2PIQQ86nlGoS3cIWVe2GeAXTxdlIvjBjuMsSErx5p14nvdi1HuADltNgEgm3E0It6M1daFywz4ow7LpYDkWi/YAw/1gftcaqpUoWGnBXIqqVWzRF9jDsfm5+SA6D3n/8uut3ft/TMbG59TuFFbaotb94DVbI9/1uxEOZTPE4Xq8he03vBv9syoAe6UJDg1eSm3ot4sycBx/EwA0iWACBao44qvX0+UFN1VsykGpnNduKmGv4HKIWgpYw82hh2/N4ngJqtqCJZDO9iS2CFBJlPhwfq7Njueyv2s+J926aeC6+LqlcQ4xS6CDaTkz9ikcT8aW7HsHTKi7mXAfrrsV/DBKN8DSZVDGilJAq370eRVrJqPWPoRteDuA7/CHC8OWrm3CI63I7TU1RS32ldpd9ixqrW4u4vxRBKT4LiacZ7B8aVf6F6Sc3WLLyjLVDTmsW+yo5j0wlJ9XaeLzy9T2wEclw90ChyHLA8lWQ0cR4zYERxXw9fz6+mNAFaaemTp2j2MkoSKzweL0RwER7KO2RLJDxbSSMEhuC9ZpRSTcdhjsZ+BdNcAJFdVI3vDWK+NRxk9A8flYyiOch/BCRn8jviaOIn31lE1BXyCZ8NFmq5GyRTByxjGqzGNP/PBxx/8yfpr2/+x+qj61qPc2/mkDx6BMzj+4CF8nANMoLdepd/Qfbv7vYcvDj96OOx/W9qkbd1uyICCYwSAHHptcK5VzazwDqFrKdNfEw1f2ewK7mhZwce57/NZ5yPg2V8BB6bp2qGrsrSxmn5LBh43Mz16lsKxids0kSkFow/2Utf2qdvCARrSCJCcApzcBXO2VNuHNDgVi64xZ9/MU5qDqIFtadldlVCLechKCWzmLoNi4BXAF9dqF93L1oiD4QaGZZathyWhY/eD7pYNS1ZeorFamb/pgpPVqAjbdYqx2FHyxasmJmdOhzHOQKyM4LhLppiegbFADWzwaspYKRKrLDk8ru0qp6rNYKFLMGTII9zU+jajW5lzovWhAn74QdaOoHCg6N299HNw6YQbwOWbN0hLQOTgYH7vDnSWO5wfzZnKL3fd82MIuLvtFas94nu9n8Rtn1//u9UN5eTEfNe4PWASOO5M4wjxx3tc3m+cEQW4PH0HiycYWOQyE8ZiXtvyoJcNljP/pjeUUFRzV8zwco5lQo7l48bsc/tDEN1Yft7Q1wH3bItyuGrHdiDCqzwsMchAZbaGFjdC1Ft7f6z6wr3AFnSk8DlrXLIOMu/WKBea5V4GG1isfrwyLhoiSzPkgEssWoXpnmjjTw7GGzhOgBy2jDKQNq7IvKDvmjGUYMOVaBCLiXrgeeidXe768WXc8tzI1eJICorZxJZlLkGDRKIFcerTIkkav3+XceI8KAjXHVJT91tf7/qn1naK2WAukmFlFdq/7AD+KAoTbp4UKxknB7L1nclm7qUe6Cs7zBJy0+YFkMf5CHCALF7NT1WVVanFnDTNVVpZZ467nxDI3sg7hdxVrkhQJcfICg4kZ/jFpNVgbDuXSDKtVk+QWfXE7Zb2XZ9Jj3x/PpGXpvfEZZ16XgJmrI8FCUx1mg6TVTGIUY5kKJsYk8mA7ctsoBAe/o7/tD4Lh0nJP4Dj0CEfmo4kGPX6cOH8e8IAp8DxWKHj+5jFJg3BcTDiq1RdV2nbbRmDuE31NayhK8xxXPt4OaVu16Wu2afD5sA1o/3zntf/yNPmVZze/ZHSBjHOLiM/eNWBhfobGKIJzPEm7T67TFswxzMYaptzZI6jNw6SxYgJtwO13wF0QlZF1QhnC/QqnuWbPobAcatkUpMpq/JwIhlsjfeJMTmRHmCB4mhWLnHpeQV36L9l4DhkWrGf0ZdCzzsk6giQy8d8kKzTKxgwT2TD8VxW4xA7yLJ9ihNcBhPXDbuzrXapPlT8artN2hxotg51W/+19MHmx9tvXPxUepZ+uVIX0vPrCY3A+7urPKGHtLzUaZqa9O30mw8vDr+v/9bwx3bN7jd27T5d1y/SYXtNxjg2ra7rUrPZ0slCCTaMGPNjHgwyU1Z20XqqAAAgAElEQVQkDbKHkoEAeVoliCkG1K8pa0s94fF8qpeu56INiQIADOA21Bpv9k1qu62a3UD5wp0dbEr4Fbowo8Cgxy+mdAAwvhtSdyF2QA/GCZpRoLs0pXOc5QqulJpwyh+HVM9dALrXMcrzxI6XnrpcB+Y8m7/xSzqLDHKtIRw3PmuoqXiC4YmNqpxENfIuUfpNGt55TQSpFII3K0F+cf6Xin2uoyzwigCOMcuUhTdg3KRPqkba33wUPFn5uwCsAAQE3W9f2OxUXu548ZCKvumKDeKvoIlaYM0Id+jfcUxjkbH+irm1nlzxq3JW+GnPIgCTOuRLvUoz0OOPFXB7/ZAej54cv9gwcjVwDjq0L3XVPnqYootmuCckTNY3em+Ok0f79FWszGHZBHY5WAz7HY6X022au8vHNq8GWOO92/yiCbgJbrCVtjIApbeA3uPyJgJBzQ6YfgKlRHKJpQ0yAW5Dk30++6TJ96cVIM1yUXVYTQqy8tikbbcjA8XBcn03iBkAHPkocYnN7zU20y3s9wAOcnjDzS+mi/ot8URiSZMcOyhwwXcH6WJ5rCfnjHnozNnsC5iWiTALPbv4BPO/s3ySrSAbc5b9u5SNya0AFKIGrzeVJoN3ShtIQ3lC0yVwaHAXDzwn/sweUkHGdOQnsMitUbmB4wKSxHJSQGQ65JacyEd/SXvzUsv8PXhz3DHMoTi665CH0P5m7xAb3JoZ53Jnk5cwxqQnYly+ivbeniGSc63JJamBmFVPcev3/cuS65JMTeAUVIMqRLBumz386zZrp8ZSdV/TvNywiLkerHKKvhleWHcGjAO4HAAooGEn5qD9vrK932WTGM4HVaX3YLq8fbdo+s4zKxscg2KFNGujz+DVjLSOoULFd0P6q6icQeXnoeVXAzCZdrDMGxPTVwI020Jp0kO6gMk/sDbh3+/27D+FamJUI6DlrDKi93g9CBzfpOo6rYDjBs5ywRyD49Qcr6/P4HiIVOiW5ArC6M/jAbl/4kljaJAjrhlSe2jS9rPLtOsvToPj9jjQOL6vu9SDOX4xpmmL5J2ach43VL/HXDp/5BFGoPSJ8ahXfpeqpNQ41yrR2f8A9sgSdOYiWxGLKg5iKOjTkBXpSKzAn7IKEAPHud+Z1NMj3LxtyzFGdu64Jj27PSAxHglgto+7NGE3DWlXb9MlGnR+MaWLfZuatKWffzUc/kb7ybM/1Xx182fTl9L/U1VkGp5fT2QEzuD4E3lQfpnTNO3Sp+n7Ds/3//LVp1c/cjE9+/uGaUj9xSGlD8fUbffpxfgFna2m2dK4odkLZVTYQAoMLjCixBxQQ8LsthkAIMvGIPYMjr+xGRJg2fxM5EwvIvAc+At5BXuisSacG8ipQLMQX0MjVgZMMpxp+EmowkfZbq2dDMEe2HMdsrq7MfWXIxkC/eaQ+mmf6trlSUwugEkWAOM4GDaWIGsQGZQ3lpqXGgYFAoJP9Fp+Xw7/fCxKAzzXEJ9nvYcDylJtoycYLrkDVXUViYMIes/AqHC6YwwugMdLS+qgtC2gwrQsa41SA7n5m2vjliaD2IA3baPyMwJXplFp8T8lD1jauAQjLRCb3YiNdL4JAe/OOleSZf4EuPwDgMVyzDAdqUbD64/PqDy/yK6MRy6X5XqtK8mVINeRec9LvGsVcH655XoTtnXr5hgj3ZX5XpIq8yPFgLk0/3u56/bxjMz5xePOBzx9Hw4UhYaMpy7jBDiuNaQzLEGs2+/I1/5Sb9iPN7/yuYKSOFPec+D2cx0D8CwxtgoR18d3RjHvh5USXnZeEnHOIJYcC/RS4xONDc7UDIvJA8qNBAuPhCaa+hy2BMkZWPDLG3/qu5grxswx0FfPWTRUl0rJzHP7m/88W5xrk30WS+t5kMWKoMV6TVCeiRjKlCroRprsCu2R69jSt+DlW5NKk8C145M1ywbe3qvEZrD93cv7YfNkiyV7JRYvtJ/BYNJ3+DRg9mLvYo8NT0J5ItNsVKxJyRbSHhVtH5n/9gvmOXTf/QbgpL7Xz+rccyMzzLPNs3RA9pFuthjFXIT9L1xzmcNxPs1W1l2m+ZN7z5F1PGWUPTDNngKsnzez1ZyxLI95r0H/2xLNkibT3odmry2blIs0wrnLuW0kEqz/YWQShVUuJjvApAx+Hpo0fgE5oNakCqFdDl9D31nVEZNToTKLYTjWMHoW4H68YgPuGhI1aJa9cZbdhEwav6SJr4oZvAfuHWxAHsPlHp49ybU92m1a9L8cnFyfRmsz/KY99MlNxpe94FvA8XK446y17I/0tiWFByso+RyA2pTtSpJF3OxRCdrqq2sFUvkhjSXOOYHPsxpHCdeqqtUUHU062y51F13qdwc26YSNMzEE25vKXq5r0jqJBAKuspyIsus2dvi86mMuq8J9bEQsqv5HkAMkcxz3Y2OgqiufsPiXzg0AdtiOWVblUJ+Z4xil4E3kKpS5l7OwibbcVQ03pmbfpu3zi7Trd9ZvxXN48Fds97TiAu6Ldc8mr5C3YayIJB6kx16WkfKya+z8/tMjELGBmS+x8MnnHnohK8CnM/9SlXnmZ/l3ssT1O/yN0neuT+dxKK7B/Fee1WTvyEpvaxItUHnQoVqFVekm5wf9cTTWNbnf5U0W7CMmxD1ntnZ/LzdRZtUWFm/SAzZyB1eAyfQRKs9litrxiKPBH+6ntOvb9GG6TNs9fIIhTQDV2za96A9/8+KTZz+5/XjzX6avpr9VVdX+5a7y/O7HGoFb4//HurDzeY9HYJqmy+7b6Qf2337xx+vn0z+73TUfPW9fKJvbqEadDpaXiNBYlsaDOczKAcKMUxZOuOLuzpzuBWhxflj3HwHf3KysLZYIusa0uag6B2M3AC6qBIB7CwD84tCkFhrj1w0BBLZdwfvwqKiFiw0Mll4N0RAIDht0gr9KqR1T2lbctNjlHk6PgSOut+rAG5tyGEPPy4ELyUOMvVl582xW+SQqoBhVrUmlNO1Yc+gB2h7PzgCmEWhBVrtlhjuDSmR2WRNN6qSZdngA8YoT7kqk5SL9Pul8Ym+0suiYJPJ35/dGgIlvdIBbjEzpgJcvd2DBSES5mTfE4zjWEEA1tjmH04MTYy6GYEUb+RKczqt8NidfNoC968Yww4dPnuT4aHPX5viDs9/cVVP8ZW+yRBjr6/c+x5sdaU0y5tgFfNhp7vqkTpmoefXFyxqyh5c06+5Xx+C2536CJX/3ezjV8HMJ1vsRy1WWf62M/1oFpS2U+O4clOSqHLdVAONQ0lqn7qq3gEQJvqK/rcgkag7Pj23bhajhR7bUqmgl2b0y+g6K4O8DwBXrd0CbbzqRCJibDyor0ReJHgpevTXpYlUJmfdgNI5KqZoeee3s8pxYKWOebUqWx5LkigAWbFxTQk9OgEbba2jWtroHBGNSkSma5zKSYQwqtpfw1yYUzol1qYSdEo/QfEYAh3JgyKzYdwR6lhTeODCZK4zWWZgaP/GeBTrZdXL5OYhhzylmgQI7U4/RA8Wgu373Cf/WvvOuVizaiePwODznjPf6u8zOhA3eZb3y6g4JwNkjCL5vTCCzd0+S/wGZCDTnVTNPVe8RaGDH3Xlmkcd2KSN3aZZPxvRN4c+z8R2AhQbfJbVStVh3Y7pmgzOv7tOcolrGUSbf6zVijw58ziv/oi2Zz8dl0lw/l/F82P711k7Ju1+YT7uXHAgCLvBdsx9XKlQESKtRLO0+mr91AMhFfMHcathbSA1iFfvBlxTpRVrC8INR5SkJKfj1kE4U+xcAVZ8OmyvaPO0tjRI6mKBIEAFsx9xD5aJVJ7qkFUAynJbVRbSBi+y5kUNksqxBNa55AhjepumQqDmOyilo/PvLk7qav6qMYLKolZyHZFUOZI5jM2FF9HssqxL39jINfS/VhCQBhjwIzSdK0QyQgmhS+/lF2vZ47gMTjdqhqjRt2J269EiYkIw7UPN9+GBM1xcdwc7cnPvuq+X8zlc1At6Dyiu7c8WcV08hyVuSVCQoGEmBpA/6dVVqqiZtp52Sbnsk4jbs/UL5MGsoDcKCdgWXIRU5o6s6Jt68Qpqbj/Xewb7X1NuEqiz4gj0anaOnyzaltEvsbdZtrhXDmtNHKCD4SZIQFUGl9A3xKvZXBZAviT22krIjegonK76bJNNAeKlE5ICN7pDavEyH6+5XN9v6Lz37evMfpDb9TPU91fNXNQXOx3l9I3BXn/T1XcH5yHcagWmaPvziV/e/c//dwx9trqp/+qJrP0aZyouPX6T99kC2FVhq2dE/WWp+p9Od3/QmRiCWJc7AcQMUDGRwx5SMEDbLEKcOEdY4bdg1+eKqSTtIqezFypCDYwRDOL+DVfTQ8a3J7kMzqq59QScZ8hwgQfZWTs8mUK5bbexuBV5iUWmrVIM1jwnmmp+uPquBFNsyBFW5JNprsUzChBrAih55LrUbsuYfcPAY+dl1gEkoDUZvhJeBcbIuTRctgGhRN5bb7YK0HLPD5lrKwbS7yHfg+qEe3C6Yac7uMnl2sW/Usc4C44pBR4+A1wFueBh8ZnI2yJrhBfpJ7Hvcu08Bi29i/p7PcR6B8wjcewQKc6WwwFy+CsAGG5chiKXusWs/Qv9YYAOM7zSTdXEZIwskZCqD/QryUJ5kk75D0C1fghxuvS1Jl+0cTg/ZFQF2zE/icvkd2snOQJ/SCCSbqIckUHJKkqCGkrxLgH65p6i0VdcGk4j7Aji+21/yuyeAvSEoZcZ4Smf8BHDQnhjjMNhbb5SYWe1uqyUvA9YTgPEe4PgWbF3ThgZ1HWVZeROx8JG60wpE1ZjK7i4PbQTHHcV1o+7ApP0cmKkq4yvgOPel9x4YuvfyewUfBDNXCRsmrboqNajU7NEIXWAjQEAAUprn5eXzO0uiZVJBWAoGoquKw9eZegmRCdwALJQesEAqa24c5Z/8cKESS9bBwQaA43EOhtTSLGlTfKAMjjsT/hWM5Pt4CAFNYHg7ycGAIGtebFAU38NGsagEBWO8Q8XBlNquTbs9UCZ2lLVmwiZT57bPKpsEZI+pAxkDNowyK5Ao+ZxJQIDWkhw0sBmgNGwfkjIEwFWhAXDcAXs8M9ecvgs4TkAfzPGpTeMMHBd7fklAAeMdoD+lO3i9Y+ozOL6nr/zeg+MZEY8JrbmcIiuxyOxFcqLhF/0JxItf7NKWOvbQULbEMN+KZ2JVWZxLSBh3aoj6wZCuLpGg6OaSb+/jIn7Mez4BjrMhvHlZis8VN2KNgnvFVBlIE8ATasmlNH2b6n3LSkYk3ChHatuCEvpKkAHoltKgeskwOYbkbJ1ShSpzrElgUax4rNO0HznvEMeyMsv6aUDadTJwHPZFCgbW2N4buMO/tMScV694QntWvfJIz0B93iy5aVgJh6aHH4Cx3HFMgVGkaXo+tekv777W/sn6e9NPV1X12SNd9vm0dxyBMzh+x4F6zLdN0/Rx+tbwT3z+nef/zuFF9481ze6jTdOmDh2kPzhQC2yphXzMHHnMOzife3UEZuC4QOBCJC/s41i2xu7Q1p1+k5o0wWnu6rS93qTtvk5tB6DYNhoLXuD0UJeV9AExh0AuZ5OM3Z6MJGxsADQIiFupvMrIY3mkMI5ynevmQ3vq/G9zULqEY3C6IGWg6mM/l4EMBIhU0lWDJQNGFnXP9HuCQ7PqCM9qCzRQWWkhlriEhV8LwHMcW8yTiCIZa8VK/F23m/67MWIUewAAwnh6CapVdZszAdAb4+qAt1MaRYqXziQDAAM8vIw1M8/D+XL0ECKIHGCfl9d5BM4j8ORGQFbOOqhZwKHlbbYL9i8wptUY0ORWYHTGKg0oezXWnttcaR0rGHLZG2fkKbnqQxXQ81U5K71ROs1exWIsckMzwCOn1bZGz6g+ogSLNxYk89WaWmI/YVtOAXmy+bK/OW9oiczMVnX2ON5nAZ+afCoAA0PXG06j/QX+LRDGmObcL+1l9+BSNNpybPwynVx7hpf0eyUeWE+uCY37ozwZWFCUtZIdn1UH2TDnoebVW/NUP6fLkvHy/CojyLGWMphXNawVKTy5hfBEL9jJAs6MhU/CRp7wV8aGX8N1L1Yu1jEdBU/2e6KjkAMyK88ZgOYfslLDgRBPspv/1u9U6cepxf4kAjLkm5gMmwsfwJ8JE1LXHxZHnofBaQpTU5xSrY1IiYhz/Ik+yke5bPfjdXK3q155aCNsfSegDc55BVCzg9RBIojV7rf8vcgXnuWTBDWTftawnHKaBLsLe3NouzRsr2nHODeZbDU7FJnjtP+aO0zaerPQ+zDHxza1BMcnY45fSFZlUQUmj1z9dlbB8XrPPYdVG+cEoe0fGSk3pr9iSFbh3gKO14hDRktiV1UaGKQEcHxCgs7A8WdDur7sBI6fF/+j2A6Zao+X5eu5jwc/w/u/5MQ8pZZEbKNHlGWbtir328OXQiWKkicEt7EGrWkmfRzUqbPiiXoEUvaDbAo1SuXROfFBFSZ1Gg0ch38D9njxoUQwQH8NrmMckTGxPEpWrVDeT5Ur3tcs7rlzytqbfwwCx0VILYoNkmsFXtEM21RDDmvcpuEwpEN/+HxzufnfvvT1D/9E+lr6i1VV/fqbv+rzGe86Amdw/K4j9Ujvm747fZI+O/wz15+++LfTMP221Na7odmkbpuU/a/3ZHD56wyKP9KDuu9pMxpewHEHb7NsSeRmm062OikjANumzb5K7aFKzQEscihjNtSMU2mlE7addQwneUpdk1gWly47luxKzgMsDQMyuDGpnGmmOUhnyJQKsxxAARPsX7M6pAzuHxEEdY3a6GWK2EjdGrKx5LRLxphptOGAOcOmINq8S0M6Y5m7o7xEjhnveVM1sfmoVUtw3K/BAXLWICYUgwmw9oZ15owYuxtxRA+mpIHdTFC5Gow1rVOAGsbHsA8rXqSmaV67zgp0p2eGk4QbMqt9Bsfvu+jOnzuPwOOPADmaWVZENiJjpAagMmgwJ1wAhuusq7fCNGxEXGa2zrQfaT/VX0Gl9UG3PDBUcwLzFLjgdiZqz8KuGYOZho1BlIIa10MWsxVyDwM6HpLZisaCTLya7JtrjAuLsaCN1211QyY34iXhCvY2sqWoLmKZLyRWBmpHkwmHRtTQ5/XvlNUKSWe7xmzTcSjKbukatA3p2Fn+JN+7JA8cgCKmTxaUNS7NwVzp50ItaG5oAsb5LAjmCHTAOaS5aZZ8Ka9yNEWP94AVRZzHn9jvyRVo/erLK90SmcBIagFgqNPUTQIa+ol9X5iQJ09ONXETAClf9KvP3+DoBQgFXwOSF12zZ9PYqtmk1IrgAMkfVjuk3hp4l+ozNVd3JqHm5Lwh4zw5486RSwFpscgGyK1Zvv89efiv4DZLpaXb/kJEcZMMk64UqZJ9TMD0slv0ha8AmMuH9cZxfCIEumF/ZDORNIH9UpJPCUxUHk8XHQEon15KxHgfR8kh+ByI/X2wp3DLAXPUyTCzTGBJoHjjUSYtIasyoaJiSul6k3bdBf37JRAhNr0SPH3Vke0+Y47XB+43Z3DcJ6KvQ09oO+lGP3OdB+Y42K0A7rYvwBxv0oblWFZ1gEau3AMLOD4lSG0KHO+fDWl/AXC8P4Pjr8AOPOgQ2XeIIXfotaGnz6Caew72H/qTkyoSUXndg+GNZtM11yZld8yn61Nn7HBJzW1EPTfJ1k2q65Zs8nHs0zgOYqSjJwf8qqFKLWTHwCBHBZ1Vr9BvMtk6+ISUGMNuaFuRiBbyF7n2aWMUuzuZYSY/+6ABvP+HRT6R5QIGRyyC95I4tpDCascdxxiya2M/pWHsrjbN5mc++OjZv19/WP+F6pPqu/e/gvMnX+cInMHx1zm6Dzz29Hz6evq0++H9d774N/oXh39kd3GRqg+adNX06fO2o25TNaoscg0UZybuLK/ywKfwZj5eWENWBmVa0+oEntFbAh1esgSt1drKoOp+SjUcHtcZNCaIGkrYi04yGmMMqUfCuOlTujAdS2OeyDm2r6CPOh8FOWLU2BJt+kgbWxnrOcNI27SDBSr0Gk1bXM2JjJUC/U5j/8GJhqY6G4Gwg7bKmNlECw4dtPbpScsB1KYZaHuFmKWBOLJ4EXAw1g6BbZWSony5NMN0do7uDUkGJKqw0XOtGcYvFo/AD9fn1W0rK+7MK5a5sfysJCCUjLBgKQ/6CigSZsUibn4zE/Z8lvMInEfgQSNA55rST2YRcn+BaPF1CgcmBJY7u1wBr2jbAsYJ9uK7Sa8QnINurTUIVANTJRYddL8RYHXpBAOJGcAYQIbzIuASBdwkXFR7n0aUwiOoaUyr28ppqd+NpCsVY6Y0MLFvrERXUAfLye/R9FK5V9DACpRhFhXXNKm0uwbbCcFdB3BclUbSzVRyAMcDWGSDmbXJq0GsK1llRDYOjkcpW9tj/F12/2TEQ6KAfSMM+G+gR46AEmOA7ITtegaMq6GVgC6MI/RzRW7wjSlsUhZ4zbespbU/W/8HLcIHfJidXbz5GANkAUp6lgaBO5gJQBPgOHw081+w9xOgyAkye9JuEDAz6cPbmvXiv5BLGao9gQQC4y0IM/DrxA72hnn0ITnHjNmHSkKuNSxm1LcDDAkORRyTIKPklW3+PYMDZ+buvWdRrvbxCiI7UuF4FF9brG0Dtyjl06TqChr3piEN+RUkBE1yy6jjdIfFwgTY7SAOEikD/X+C5Pgb5XuUBJw3WrdKplxpUIDY0j9hKcd1ChxvUj1Bc3xM1X6TLg6XBMdDiJI3P6/EYUPOdlBDzh0SQtIcJ1gXegnd+yG8Ex+Mu8RcAk3+gzdEBaFKcm2QVbm4ukgtEspKdWQjEOMyRS6aJ8OuT/3lmK53h9SdwfFHnTmWzneLkZ+ds8XJ7IY/Y8Rrwt6eYBuBF3hyDZkyxc419VEwE9hukk17vc8FJI4onWLHJei9lw8KWS+A496sGn6m729kVxMj8ISX93QBO9yrG6zCGo4aVPLQtBP9z+hL9bkayjGEtwMc98ocq7D3Xn90T9VPAslASKtBTqpN29RfDenw4tA9233ws88+2f176cvpz1cfV9951Il0PvnqCJzB8bdwYkzTtEm/ln5D9/nVj+w/vf4j7VD/wAaK4lswxod03XbpCl2jWQ5XSiMBhC/lVd7C2ztf0mIEfJOLBLLCXCvM4swgtJIlNNBory7IlqsgT4KMrYHEBEwIJIeTgencwLkEOA79VOseDScHb3eJDzAIrGEUssJzMnYJ4ufgeCgrtyyvQSa55C9LnXhTD+qiswZfZaJWMqqSJG8KIp1DgToLc0Umn8r6c3LBGnBmwXX30SMwHg4zseTfnUmxyzGILi1TsZ+WNnM4B8oOSxPcm5pm6NoeoLMiVZqvqDMzr3IUYLrpBMeVjS8M+3KBTG7ZMZbGOkDm5zV1HoHzCDyxESjg+IKpHLWpZw0fZUtygpEgt8Bxgd2ePBRzHHYT5etikRuD3IA5Sa94cu64iWTG52ZgjbNGpdUt1mk2TwXRJ41RtplAC8tnHSQ3PXLIeCEByZ4LofLNgXc7ryf4yRxnot92S0ZoCOEkKUd2pQHkAMkBQoIRNdNqp2m35ILLtwQ5FUi8EDas5k07vcmnV2ERSh/FGEeDO7DHkQSYwCIHYx7gpDW09r3AGfwImDxZQSZn3YX7X9ukSjL5eHrH5PMTm/zvwOUWcFy9V9C/LMusWSbem+gSKAAgBZC8A1YtcGKLyr/ckNB18cvgUBKBj9k09GUCFtkzsDoxl8bUw1/ZTmnaAVwYU1cp+YJkP9YLBOwkYgemKCCxAI77mvNzWIWIEvbFh6EPZAZi1S97B57tG7sFJ3aEBGgeflI0BVvmKlCToGLqBYmVAxrBokknSvkbAp2weXmOUB1DkiouWZD9RiYsYb8GfgH8RDWpdIStCZ5VqmbGZq4bcHkn2eRIejGPt/itntwB231qaacJjl9v0uUMHLdUQeECGXMc4LiaiKohJ1jLJquyFhe8sYf3Np3Io4PwXKIkpvkAkLRhM9Uupc2+Thf7ywCOF8MCO8YXYxORhbBXARwfLse033aphzE752YfbRJEQl2OMa15pQgM5k9Y9aD6FpieeD/xudfXrSWnjNxFtVJJGeELlX/YR+DfIP7NvLNpIuCbPodsCCrVvSm0qgBB0sMX+z0bgY4DJUc1g90kSTjugGtGEQyB8ZH+FOfcRvubSHsa7rcBHNfthBifttHZiOan0w1GQqpN7QiZFdjsDZp2Qmj9/9p8NP1HF1+/+Knq4+rbjzaRzideHYEzOP6WTYxpmtr0WfpN/Xe/+JHDZ4d/dTxMf2/T7tJm17IBDzLmKMUd8R0aULmB4Vt2I+fLufMIRM5Ydk9iKbsdiaWVCLCMRd32u1Q/36Xt2IaAB802DCjBToPNyf2cTUqH9sCAfriwMsUcnHtPe2vsxOxwaZChTSk2NZNDDAxEG4Q3gZlr0rrj7MA+ytwFUFjDDjbTVGdsgOP1wb6brngG921T5SZpkiViQnlyyNktoZu27+ThSRBIt9gBTBqwrADeiI2oQEIAuGRlMIQMLvN5XZrFQphB15ADmgBys0lWaMaWnQO/HkrfREDk9uTWnB8Sznvn2XZ+43kEziPwNoxAYV5a/JDtaOxtEKVWZOyEH1vwA7BEdG5LIDpTWo3T0C/SgXEgeLSnlkDkXgIZLtNNLJqVobrHzhO1RWWDTBjK7JsRuYtBsoBHNCMAyQLFyRRCAERN2z5tEGxTt1ul/7DvZJQbQ92rj7KWJZsxF541krfqEMUNK1c0sbqILCkwyk2bnACSeldkUM+baVoFU2aoE4y3Q/t3N/LO3E196gAsGWtcQZ0kZLinICng5bY5LvTGomKOOyvKQr68WesUhVcaFXfK3D2D44+5juUu6Blw/uavQihgAmoCg8xYe2ysW1FuBbIY0IyWrETR+c5yR9GvyDdavI0MELCzrCQzECOMADS2SEYh+aQeMqqEE0BuAsRMAg0Jml3Ggl8AACAASURBVLEFeJfsiq8vS9fnniha9WIm6jq0jh7zKTzhcwfwUqQWafmSRM4qhCKPEFFIPSPZewBUGwDk0LY9NGqo5+B49mnVXDPLN9EtBTEFDZQ7sbLBCN52qWs79rLinCHIBckNyUEVt9UrS/03LrMom+WbwFyOUf0ywBqHdMOIiqbrKl1cXzBBFA4+e6CUVcH+4MxxXCPAcZdVicDbE54Kr/TSPQaZzS/vxQFwvBE4fi3mfkv7M99LlBCzJ2mNF5nIxX59MTKGJHh6fj3aCDg4rsq30jQz966Shc5ybgCx3f+pwGZGr7JuZ1VsAsUR8zKxb0n+tLUmmiQ7mO0HYQ7geNem/5+9d4GxLU2rw779PqfqPvp29zwQGg8PRQ7g4JmAB9syNiGACUkQiUgEUhKCHRJCsJnIjm0ikyiOpciKArEjJmLAjqV4BFEwcQwEHAsLjYiMDINiXoaJeGQIzKOn+z6rzjn7Ga21vm/vferW7a5bfe+tqr77jGrqdtWpc/b59//4vvWtb63yCMWVUrXS0edG8mEnmhH2xynS3pAoJQkPseHUgceOFhhOe8FO3Sw6k/Zy7ou6A6OnxwTWY1+eCsnqFWd/ZQ8z5cKqbkUjZdsk1jYdKgy/cvjSwffaLfuR5HryqYv6KMv7PjwCCzh+iWbFMAyV3bfPrm9vvqm7v/tGa+3dSZ5bg/ZbxA+VWuF6CER1sPseDL+f4DnkzFOkujDJL9HNfcSlnATG8bSQJBnb171JF4wzGlS66VjVriy7W1qBwJWygzLNoBkbAlr0JwU4DmZT1tuu2FkDxviqJxOjTurRvAWouhIjgbRzcJw/nSVFU3IU4LhAdc6+MVsSUM0Eiow5sV0CHMeBMezUDg8mlQwyxWakB8c8XnPHNgAsPCQRqzN439eMPTnMYWbFl2N7sXQdBUyAYZU62D52Q49CojIhiRZTN5MbGVTO0ofm7UyrhUwvH79IaAjgnOg61XVG8hNR6OvP10dt1ktuevnX+XKFywicHAEV9hxq9sUtD4Uw+J3TsuOvHTbFr1i8jJ1kMvEky4+MldSKlK0v/hXAuPAxSlTVAtPHVwkjY9cmn7p99DdzIEyEVtdZHC/VTSPwghTMlQijziYH/V1yCrrk2RrJUEPWbYtiZdZb498JpEO3XAJc1EqmVqbsMTh2/ZBK8zJkyPgLnV3S2ERCKHA8r2E4Jd8Ksi4lj8l9GKflCAniZw4gvW6ADE3cAlIFMo0KljxZVgDKI9Hz3/H8CeblDHjY379n88GvTT/ZZ5DPIKhH6GEs6+1pj4DW73S2j3OQQZQn8aNHDOIayelI5iclc88eJATHJ18AFU9G4Htk0QYBwWdQgq5RkArcMwUXg1pYilb0lh0MTdJacZCrCy5McV0uDmsK8U/LIlV408TeInEYPcZ+NgfLBKOBWRrEhAUcP+dMo6Z2EDxCC3hiU7CDxeNu3RAFxCRdqB5iRVKIOb7FV2FVXXF/G2Nn6ocDdNI+rT3cO0oT4xzpy866qrFu1Vpd7gg8kz0e4PgYswfw4/4L0gMcmeMq2vrO5F47oU2vMwnguAz/+ronOLverqzoCu94Pskk0XkhWRXkK5BVaaymrArQ3amL6px34K35ZzNJS5y6ONu453Sp2KsOjpO5jxwS8mN7FPBJIpLOS/AvwL5C5nin+wCJFewlb80RvBKfSuD4JMs5yqGO8h5YiyKh4Yzhl3uypLXRm6XsSnnX8NyQVwUKqgO6j1BgnUktBTAdGFPZllberaxsq5kZqPLxsQHwtPr9PKg60bQobwTNNYDi6WHC7yiQcU+adTBd9E3CeHcgeLiEirxG9IEUCyAylJ8DiI3FUI3AeFajSFhw7Luk/WfZ9fQD1duL/zW5lnzyoj/X8v6RDS0jcSlGYBiGtd22f665t/sPt/e2Xze0/Wci+iyuVVbnvW29VRfChTDPKFilQ+Cg4HZ5XL0RmAPjEfryuwc3AY4z/3JziwJMDgQziA03ua23hwSUyXD21iNExqFLrp1a0rQIaGioUrbWgYGBiiyKLWOA7nDtjJmn6wquoADy+c88fJ9JgiiGH1mRzpxSYigWH/B7gPZZW1iBYB7mQSPIE6xI14Px9j7F4AHQ65qYD841xYX9uDmG6yfSGM7NRZ3NF4CO5Mnz6fPxs80Z8BNINa8GB0KExLhgQX3MYGNwHp6Mp6xR/BVu3ZhPPGoKO0jChOjEc5bg9Oqt++WKlxEYR2BWSJyv5TgD4nnzdT+BURNDVVvXvHsmdMojgYrW94nlx4QZ0iPQjOzQcTTwe4B3LGYi3CeY4kXI0fzTWaQZuteCyyOgREDuG5TyPHno0tpBZLTTJtRMpm4yiqD5YM2A4q30klMCgtJLxp6LqzO0iBsMxMLkaepiIjmAJnA5jaoBwoAtFeendDbBnHd7RAf/JTnjn2kuS+b4eTT76GlK2HhMjUbNKFELMM8OMoELABM8wQNQif/xlHRpnJDDYy45kzLzarMrazkgGUHCKHuxnAIXtqO418iIRjowMYFNRCfdkFX3O/4bRoo0w2sQnCU07WKXA9uwvcsjwAUuK8VqaG9HYo7yTwLW50yWLQASrQeZctIgF+p1kHZmnKhiEuZlzXnZO+tP8R8Z8QC/aeXixbq9dT3FgTL3XB7nGgEHx/G3MsmL7p+IuZXbSQEr4tIJbQqGPwBPMEBzSCRsCspl0AtorHkKhFcugPfw1knPNdoCHTA7a1eNtetGeUIGgz0AqzKWDTkqxcFBGAlwesYcPwUcZ9w6aqXrvGE+U+e2Oqq4L+sxA8d9WlGZAeA4uiAAypYCx9sCOozwkJxv0Oe6C2+9P5qB4yQ5uZwYDQIByDUZqiKW1invQQGmUeRZ9DXwjA+vkwFj6NRNUKpAARY/wUqXQ1t2gIuZQlx1KPIHmSJ8stxUV7GY4p8M/mSIfXbozk7l44UvEiO8AOUG4wDFIRVHObzRo2D6jIxPhsFK5O/3SgNIHsXcEdPYi/8iLpxlsIExIOaaKv18E8ZOMHDH2QS5p6Ijg5x+NdgLQht//MOLGX+C45m6J+j/BhNOEBXJHvfzl12RitNJVkEMGl9tZd3RYD32sLL7tfJ6+reqd6z/TnKYfPxiPtHyrvMRWGDVSzAfhmE4tFftD3RHzTdvH9Rf2zX9Z8AVGF45fTVYnUknGhU1gJEgAeSdEiWwqxZw/BLcxHNcwmngeJAvJmBcLZRgU6PSCAmVtCHlw7JtTs045tkwsWDbk9ALJFehu03jLyRKZUfNvr5Ssi49L2l2x7E16qqOEc90lYHRqizjj0GGsEimAroF1EDQoYPGIIJhte8DlDCapMk4DsBMiZaIwFbiIqIln9q1el2Ny6QFy7Dc/THxZwK6oRUu2RW26gMMh24ZAjkE+w6OM1HAWPE1kDXOytezVsQpXo8EcZ/JSYm0CCQjvH8kKPTwBCEDi9cxhZenb8gPM2rOMd2WP1lGYBmByzQCe3vNPIGInhPtBlPCcfLiJ73D8XlkfOsRgLn+vQ9Yc7sM2REkx5Ag7qCl7Yae+O4GyNGxJIB80uzWmwi45rtRH9eZM1Hs9IvZO0X4O+ylMjLSnk2cW9rkrk8+Ma/hgRGmgmCroTsK4KCY4TwfqJUp0E/JyAQG4Tyi3iaSFwDiACH5+QASFCra6kgwENXZ6RTjFSA5B0ygYBDxCWHxOmR8NR6J3uJMWa7SCOy0hUCnLm94FgGYxGMuazOdr37/Z0njKLAS95fnTDCUF3jiIpZ1dNIRm/aOu9H00uVJolgkuAnrY/ou0zLMQwfF24nZhyQaU8T9an0xT8A4QXDGRQDHg/mJWDFoe6r0IGdQRwPWF0DyRB6+mPrIK8qa8dEUd8yl6uZF/9g/pg4LjfkE1l7EPbjS7+l7FeNnL2xOMjW6I7HXCJSej/cUs7P4B3B8J3A8a2S6iP1MfxHAehg2z9oYue9CJqNmbgCAnD4KIGOxW0edDLguTcJ9cFwFvqkoO4ayM+Z4nEXyxFA+MIHjK4Js44k13wT9DwHOUmJh1ByvKYdIqcOlOHP6EhipuzrrcIaDOSxZjVzgeJNaga4DVBnGLjRJafLPveMABtMNzTjBJpY+fY+cCt5UY3HwSq/EK3nxYo5H55CkjnD+THuF4rWQ9AA4ngEcb1x73IFxnA9kiAMQp/8AQF8RyqainPrrwGLjLgBZFTDRH4B0gBx61gXJeEg+WvAx05JWlzRlR0JCip3kkv/jXjUWgtV1hxwehTvJPiEulEEo/kd85ILRS+w/cXYG4I2CA5n4Do6zyOhdW9xHHUCnBnlbWt6sbKhBSqktK+xXyuvl96fXir9rL9rvJmKdLI8LGoELnl4X9Kkv0dsOrwzXbWjf2z9o/pPtUfPlXWcv90gyq9SsMra49WljA/W9vKLLQCU04CaH6Uv0sZZLOcMInAkcp+y1knscQtEWBSOerM7JGPG+HWlle1DEYNaZPwDAoY3asn3SzXdcV3ACx2dtshGqjkDvvOlOVw2gmoFy37Lyi9Y9scXD+M0lVKixCaY7+uYBvIg1MjFlXO9y3In8HyOVXG35oZTpH8uvwUEQouTe4o8EkPq2rrWZR2uYAInRXNPZjriWMBPav2X7wFQw1QO2iueeVph6oyNtvukqyX0jcNyzhEgcItuIXOkMc215yjICywhcshEYwfGoDs4Bcv+3d+GMuMjeR4j9fv7Dk5qMk3nePJuQbi0SE0g6gH0UzHDob4lxLRDD9+8A8ZxFSC4skeIZcw8SKgHoOCgjzHjKfKLTSD8DWCjmN6/ai7vUuw3PBzDJvdU39nQmbUi6ILEC9izkVQQBCcBhYhYFzf1zLfZmHhkAC3ZrggUws05adFyhGwnt/244GoxZfIwUDHXoNAchAZKRAtNDhmUCh6ThCWAcySa0fGGADWM5fqVqtwVQH5rv0S2QUHZm8vyY7q63LI8MS1Iy986PSzbD39KXo0KJJ/0EOCWzwhJRFM0BBni8RHEgdr/pb6ShKmCarM6uYNs14jroR0MeA3ETWcDjY4rxBGogEcda1PsLEEWRy9ec+7NAQkW6/+oiHPJUBozlzvpMMdxIyOAMBwDST3IXY3FNcV4Y9Tn0+pa+z0/tw43g+CQTpcKcHiRPhHTveDRMxYiIylHkJDgDDeCmtLRWdymaBiIuj25O585MYaynksgzm1KGi8wTAEajeyc8J2bzb9I31g8FjssUWgi+F+1mDOYA0WlGjAnYmZVNYRU8k9rQHPfPPg/yaXTrnTeVmOMAzAiOg+wS4NtTu0lX9IX9oCOBB//DWQemcJ1RhieB1Bi+kIsheYIZdYQK3Ee8CAKT36y1HQHKXuxxmGhbwzM4DGOv6Chd6cvWPqyYixEQ7/lkWom1yPgI970VcxzgeN5AYiUjoQ2yqoyr3AAT8kUsjAUwPvZoRyfiNGQo3oKFTn1xkCtirwgHc8QxM01x7ycfPW84J3FNIMx5fJlzLiquoZQPSG7ELWYdCwDIA+u4QPh4ZI4PibAZssdVrKbaOPXbnZhHRqCIjipYAB8prezXluwSSzadTLqz7DeLw9UPpdfS77d32u8kycyt/krP1qt38Qs4foH3bBiGG/ap9g/bcfOt2we7L2/b4eaQZTaUmbWlzAJhmCIpFbDGlfwh/O4SJJU42DqxRZbHlRuBU8FxD4bn5jlgX4MdgmQJSRNaoxJoqIIFgKotThMaRyqk1rmhAJUN3jByrRwcL8Eiar1FF2BxsEocDPapNIboJ9qjFPpO4buSQSVLYzs+gBW2B4OeBBBCIAvNOAGOA5ShLixwmIYHOph3cXAEGs5pDUACR02mZDKul6AyEj+0DLPN2JNGN9XUoRyGaAgYHBifaZaFsdF4H8ZlNN2ZCZSaMTL9eRjvzjU755NvBGD2ZuSJNRp4GGF/TzLi+95THeThhUzXFU95IyD+yi2K5YKXEXheRsALmROcvQ+Oq1U1AIPTBmXaifXbiSE4bWWPAE89UAdSJqXE1KUUXM4hwHF2/XhBs4P8ChJnadYiKVIHmxI0Xg3Z45M0WBRrI3FDEjeB5WA9oXMo9lZpi5N1w3beTh1RYBHBWDDMBuk7ISYlzh+eSR4D8diLFvGQhPBNPCQBwpQZrcZFDXAc7PHBDOA4vmZEdY6Nm56TqZtmhA713mD+UuVi0nQfN2Zt12wFhmYmAHGA4wAWyMziQDIpVEyHs9qLvEKynM23f27wjNRgR2vArLT6vCycy/E5MQc6n2u4JwFOExgfO8p0ZmuKhEyGInmaz2a1Ov0Q3wEgbwoadxHAAAO4kYEn29/ZbOCa/iA+APAGaQ/7iM9DguOYy3vzcOqogK4/Yil8MXEva4JdLMjgd6GdL7eVmeRbFOsCHJ+ClXlx/3LcmStyFcSUtNZVWIkOhGnORKcKb+c8vh8/YnSWIhcoWGAh+FmnjL2RN0TMvcfOnAWdnIsZZBYbAuMAQak3TBBKOUIA3uM543/Pueex/x7JZObtE5ORJ4UXV5GslLXAcTAo+fG8EOy6kmNQLHAc8gowg0Q+4/sozgEvi16RO/7MLjMKJzyjTKxxzAtIqaTw3iCYh3wMg46ir7paHF9VuZrFN+wRU/4IZjH0qQdoKaMw4ef9M/tgyxvNRmCKFydD1SieCYQNcFz3HUVXJ9nh4EgH26ZbdpQbVAoQl6DLzXXGIy6NdRmdKMIAhDOwcMsmpVl3M885BIjqUGL+jngTcY53MYxdi85kJ07QpkbZWM9zGQViTwLBAKS+sqf3ADXIsS9RT//iIEx8JhA5OA6UQlMBKuLhkZFPaRVnu/s2PnbROOGx3ELyRt2MaZH/Tn6j+GB6YB+yd9jHFoD8Yhb9xc2si/m8l+ZdyRgv7H3NK8d/sau797VNd5O5cJWRNQ4twNp2lmRoc+wto8a4ElAcZI2ztDKaKC7g+KW5sY9xIXNwPI60wKIVdKoNsjAlTqr8emtUi83YExVns0XbEsMcCZXzIGnKTuA4WpPAuEg6qLQSlFYb+smLnl9ZGF4GNDu1ZOKwy91wigckgBZvW49WYbWwO5scQbSD4HxHMNqTLQ9SghDeAsbWflRfCY4jiZyZm0EjPRNrhIxCuGmH0dmIFE/rgQHcic8X4Imq7DJ8mx5jA/ue+dxp7HIkuyDo4Pv8wZDlFID7JOt8zHemvOfEUR8vsg+Q713tY8i4PMbUXJ66jMAyAk99BE4yvwOAip1h2ld09uPxCLA0fudGgOMzRwD+tA8zVmJlwOwsQLHCvVjpGrXssIkef1dSAWiH1mwAe2SeU6d4DvBP7xkdMnNTZLXsS68yumQhUzIxD6Vty46fkFoBWI56cO5gXtKOEir7YZBO1AHFy7HVGIIsdNpksobibdmteLaq5RU8BDDIgRbpu8ZBrbKAGQRkT0ULgONjYjhv4nOVFSSH1Bx3UymeXYUXdfGGBDfFhJe+sGumO2h2EngcwfHZ7Vyiv6e+UE99AwGXukMhxTOCnCdigLFgNPrJ6L5DyxevQBgDYAZYfr2bp0HuB+uLUghge6pQpfhImtJYF2oRFEg6geO+d0QXhcd5Ee9JzgjFJ8VSCYBGfmm9iTnoXi2+5wRjfKIJaJdZ5t855x9xJd2niNnnkeRUZJxHiootRUhxqRVsfAGC9gXnEAk0AMQ6B0ZDZmXCznTRXmuhPj29EQBC9wTIIWcwyQLMwB2XndL1KU/hPjl2F0wdLSHzqLeaWJOYwxUN/aRZHBejjteZ7AuKhtj7Q2IBkpDQIaZWPuQ9nvPOmUg0ZnnAmL15sYGSnF40oR492bowRgVyKWkUdqsTvJRUvYBQ3X8UTOp1T/YupDiRM6F/CjdenTPL46JGQB3cE0kgqGuKqXCm5JQyTWvEaugcyCnNSuJaOtgm39CDzFxnHCQE7gOqxO5JJgU4LjQ8Op51GuD8itiP9VlEWnGGjCxvX//ePSIwGRr4iSVgtLfonnJco9PJgniJ5pzBHse+BACf2uPAMS4QwvQCoOJmdcQoPvPi5kzibx9niHtm1nW9lUNpq3Zl6TYzmORSK6BKP5askh8qb+Q/YG+z304SuMwtj2c5Ahc4s57lx7xc7zUMw3X7dPvFx/d3f8E2yR8bOrvWQbsZ0mvQ9SqgEd1Ya406hGdVdULlwVgh48CB0Mv1EZerOcMInFx8EQwz5XBm36iXShZRZukG7HGZiylBQtCKXF56r8FeEgMPjLXGmqq13RotiWICiKmkym8El1M8ug+MR9A6b0ePZyAgzsNk09uiIJ2CCjAB8VGz1lv3ZmMi0zGx2GUu5UZVbBMLJiISuAkYJ7CP54NBSMAEf+8swpE5OEkP7QWJAOUZvI9cTGmU00062Nv7YNR4uSOzcf+OBXPsIXzao8UTz34I2BrHljfc17n/e3zvEexSInQCGnuEJMwZJt/ylGUElhG48BF4OLUU8Kp1PoPEuZk4EOD/FhjmslTTZiXAY/bfE+tw/+Pi5+jYmVjX/q60ehAAJw1cnCvxHYic9MmRdBuYrdCR9WuRkWBIrkyJQuAmlJIIUAW7F00xleKMCiy8zIlKifOBurNItkA2x5dr5Ro6ochkm/S3A4BHgqbOIxVIIREgSQs9pPk88ua9OCuGLoBxXBsZTdTJ1eeMooGKvLMi6H4dc7wHCcBxpIrRuYQDGoAmNaDRzdWwjZmgOMGGmaHoniyB5kMUMOZ3cgEnLmgZz2QxAhgIcO/0xOqEqWIA1rOqjvowtCbI+qX0AbSC85HxyfjKGXts4fA2gr2ugr0K+iiKLg1r30dQKpKRbM/uO5qzkz3Ys9uQvi0OcMzZvxGrRPyyzL/zzj/J7GgvCiefydHnYXB8MuyMex37Blv2Gf/L0JXGe21BsEUmcCgATvYQ2i9nIanPZXYzACCnhIm6XeRN5EXI+TnAbgjFzm8EjuOM0Z4ZGuYwgyytvFeM4Pgoz3ICHEdHQ+sgGWRfKO8BBmkCRqYIPs/lYzwfoqlg1t06AzZp8osCW40cMpdsE8BybAaUe0AeiHNSLGBmYLQRURGiqTprDgarwdx3cFyd7OqceU5H/+KnnPufMDJwKZyIDxSPIW7JKaFDGVZojTcyZYX3CnLnbbW1tgL2JOIccCdKrca6ngG+IjA4MI7fE3fAvuPxH4Idyoh5YZUAuZtI+xlFzW0TAM64Cp4ZOOM4LzMrdq6L32lfRI5PcBxzD+zxFa6ztQYdDRcMju+f8ROJMCbGhAvMg8O5bBYi09byJCdJI93llmwgpYYuzhQx4sfydfYjxa3ig/aS/UaSJGgzWx7PaAQWcPwZDfS4YF4dbljfftHmqP723YP6K7JudYN6X0VrA77yxgwHELIycVJ4aIEtHvqGqg4Gk3w5mp7xLXxib+f1RX+90Kbcf3lsnKis5qz6ZpZvp9ZbRidZLVNWGkvK2CK0L4e0tm7VWl01tll3MtpJ1WmQE8Bw5pMDsBNwELNLCXn8/9T2qZ/icIPOIZgqaEk3MAkRhOHQ6+BzD5qft0v6ToPjgIyDaMtKQAMUWURsJoHhStbcMRuBOX5GHVrQ+XpLCGxLi1wrwP9/TDT13zIKjccM/B7d2SdZE4FIj1pPp2yVr7P0HpUcR2tsfGgZ2E26uHz/mdfIBCQ5q9A/SrT1n8Zof2ITdHmhZQSWEXhqI3D6HjEVJwPACEO1yVhNqCxbpsESnFfnZi96spB22gfRns9dhiB5gMzByJknWzJa9iIjOtmGzHpux2K9pm1iOcE8sIAAMocptJv4CfefGVpOxX3fAferf6P3nxjfAQSRrRhGcpQqkUQJBMAHAHxI6h040d/ojWlexUROTHAVG3aWYixH4AaSMQ6G07DTz7QWhtIOpjOxc9ZCnD3jbZtOoyDRa1Qfvttt3thuvbG2qPl5EkqHASDXZw3JhfmgiH05v5MLOPHUFugbvfCpskjUc9uLmxQ/aY0l6PTkv8NQVrJC1Cc1xWeUN+Frq+sOYCekJwB25k1pCecipBGgVY54bozQxiseOxApM+QzKOQxfM5SZ9+9iyCVgPZ1SlaUKNo4SOqM4tgXBJB4EQ3/ekSnyBsN3fJ73TOB49KMn+aFdox9wsq8SBkGmW5CT4M6FR3HuLwrKdFjR6kVbUVG5qyOMskp9gCtVZLB/o9tTWxhmbX2B701+Y7av5JGkJEzjewZt0uf/izg+FT4UVEXfknF3dcBx/mBlNAAHIfsS1c2NlSDfBwoV7CA48ID4lyYZLfC5FXgo4BR7B9g6AKMZPJE11/kXNkjwfF21dsO+SNA8qSmpEoOKhY6Zx9B+VnW99MfgciZmed6zqj8X95eAY6DwABwHMxx7AMFmeOQ1eptd1BbW6FAj3y7tRrgOJkBkqeTVKrPLXpQaM2regLCgdgKI4HC4xytS+Xr0T3CeHVkjasLr09ZmSGOUKBos5X0C2JIbiyAFtLG6rx2cLzn+YS13w6tZTMj9Kc/4vvvwP2M+q0qEoZsn3xg9JiKgdzlXULQkR/EqGntFjmlpS08R0pDd0cOWSx0L2bJJ/J1/uPZzeKv2zvso0mS7J7153xe328Bx5/hnR9eG25aa3/k+N6D/7jdNV9qQ3qrBXOqyC1ZoVW4tT7bWd/XloBJTmYXDq2Uxjus7LLaL9MfgJwPs0mf4Qda3upNjYCAB73E2KLrKzJYFIXBSCOlkQY3TQQ4lFSRIWuf12JOkBkicFx5FSqutXXr1ppVYzsY7YANBFocjMxQWR6pIwqKNZccGGe7pZh/wSCMgzeCLoLgW7T6Tg70ABYElgBKYWfe9OB7OG+JkTqFWRwwAVNJWqw92s7R2kkJlXDNVgKgdq79/vUoE+3fjBnC/Ki7NCaV82s8e5vw/P6dbSLMK8hc3c6XnG/DwXyP03UC/8eEd29IH6KTn+1SlmctI7CMwIWOwOuD4xOgFQWyPXDcE2LuwWeSVjpln3A2tSFBCcBrNOZzEMw7bQCcRMuozo0AVIR2gL5+cQAAIABJREFUUxcZnUIwEIwvJOVgBpHuPXUExXmnHVCgYRRhHwKRXZ7ET0lj37f/jYymxXTFMQJwHCxsnBtN0oj1CrBRkZQYTgT4w6AD54k8L/SRAsyP9v8wLlNhmvrP8PpAUZhJoc5Z/gNjOFME2G/2Dzawf0qv6jZ5a5v1EdmZ0HwmOE7jRD8L0b7ugCZPCp7tGnvNiSiYjqnYVMo+rXB7QnZMZ30Yejk4Nx6bE8Ab4x2ArUNkXsSN+3ehS+lcb7536npCq6JJ/MYNvwlU6uYSBGDcpqr/5Nnic5gFGI/VOe1ERmDs5PGeuvqgVYq5tOJ8BCARhuFjW3vo2kOPfCjZgg7GJ8BxcGdgZIa6Cjs4FKmNBm3j7d+bB3GvUAzyucS/5YrkuqFcBdZUJRN36k6z4BRsQoH7nIFkCU7j9UbJpMKt/fjqbHvXuW7vFfgjmbP6sIzgeLAjYqSm4l4AVRGXu0eBA8TS3xZQDQAMBZXh/kBmNtjjzBn62Dv81d10lUxFl6sXe7ylifBw2Fld7KzOd9xLudVBrgHzkLr56trRvjor3DmrmSQWyr5oIqorQjlF2VaWOzgeP4vX4fNjL6LsB5jiDTXHe+iOlw1ZrtP626+r+pY/HhsxGU6bo6dtlZdl8pxpTXnX1DSPPGdDHoZ8DOcWiFVg50JOBbligI/eeQzdcc6zOArR7YSCWYH8sbN2rf0A9wDGIzhuszSxFgWVyzJYz9t1OKFMWXt4FqhwJuNbFFHBzIYHgSTw0OmN2AUFLkquXqutRveay2k1MFp1vXD60ETXdBg8e7EKRDWdORArVzehpqG8xGiujrUP2TsSL3BuuOcASHTsdE/YCUhVfMzLOrdiq854mlHjLGYjH8DwnbWQVDpQV0uT1gLHU4/DLuDe6/P4vuls+wnfOCFJExK4IbvCcAGfbOfjXViWFFb0lWLNY0jNyDOiH4ZPZ4fljxYvZX/D3ma/niTJ5gI+7nP3lm+09z53A/K0PjDMN7tP2p/Y3N5+57Br3psO3Qpmgt211BroUM6CzzCxmspPYzg6Xt6cL3SZD/enNZ5vhddVW3cmlhgPJ1Vb2YIIE86usFW3ps54sknoDI3NkuZM9GASkNx1nRh7A3R5dEqiCgw5leFwUNUVQDlbnFRQ0VHFbioCDuPPHSDnWahji0A3AAHqYZIdnkiPNf49aoRH2yQOtjHnmjhzkR36SQo2yC5Dqx7cpBKcBDLYxKHq7VgEN0Z9s4m1FPf/NEbem54bZ90Vz4C/71/Lwys1rv+N3nLvL/ex9Df9cZcXWEZgGYGLGYFHrfuT613/Pf+pwLjTNKgf55M8tCPxgk6JKOZyVPM3cOYjr6PHeeZsV7DH+9z6XU9pCPwbZkME85FQzD74xJD34ixZS9Ob6JJECKAjKIEWH5E8txbnHf7nkgBgQdGLws9UdB2N4J7Ll+DMwzXjPJW8mLO1nYGpY1RMJxoltqWStqZQokn9ZzwLXUx+3TA1HHWE9W8+0KrO8cG5PjH7cN5tyi2TVKFaMMUy60qzDuxIAP1WW9J3lvFLMjToNByywkDe3PVH7KgSMq923ADQ8fY9mMVggOF8xbX1ALPcZyPLraGAOyApmL73ZLCGzrpcR72gHUkuQZTMBsYaSHJbtVpfwYcABdwnjze4niBXJ3k6ANhdWrv0nNiyAAUhSZcP0N5Fki7gLoEEIkG/wgbLSWgRyICf95a7GTniOky4Nq05vAIZaX/nnREBIE9rMLSag4UW3ylpdwTZcAAUYvSOoMjI9vMbM19vpH/30hd2koXWlLrzEI+1RWc1qOkHiTVgEjNHQREHEUuHGcBF2nL8VCgLgCaA0ClG29fSD1390cjxTMW9KzjBznTJpxAj5jruY53GQfQof/n0wE8lx4QxVlbIMmAPOZXUSsxX7Fdb1AERy5ecI+xWiHqOEG8nXml/wq8op3LYWr3a2a7aEJBiToBiTVNa1w1MIEKCIQod8ff7HS8ajOl4SaxoC1tt1pZuAeAp18C7q4MpOivC60IYHBnt69rqAxgJtr6fufY65iH2JxJ7BMqHl8YegDg7SycRmzPdrCf/pFM0w+NNTo8NTu4LOix5xuF/vYpuRZ9bOVTW3e94dqFAgr0mZMF4pHoHFmeM+4iM5xDyRxTKDs12Ra2uY3RoYWeDKhjuPWVVTvOsevLDtLzi64xAxDQ+lxBfybdCBr22Tdl9zkIJYgh/KXQJtQDHCxHsCCu4th3LbGNXyRRvRTFKUkYCu9VNOI9Q/XyJSkuQH7y4PBbA3KdGmxe6DTMrtyICshCMs1SS+MQDgGNsDxpr1x1Jgei0Yqn6gs6P2JE1nF5s9HsQq1T7XYz5VAiNvZD1xmSwhiRAPFf3rmpKWzWVpQ9U1DCzu8kq+Uf52/L/xt5pv5IkyfGyJp7uCLwRJvN03/05efUBUiqN/fHd/fbP1Mf1n0j6vkqhglH1tl3tGHwuj+dvBKQPKAZ4GMxAWxWLEjqTRYcNcm3ZJidATgaAM5cIgAMeR44KU4cGB4xXUVO5i9fQ5zsQg3xIZKSCjRj5NbTieLh1SOMmspTOGbGkeH34HyvQaisHM5Ba4uh4AFvQWSBy9fTW9Tm24sSkUUzFi0BIsjDv0aqHdl5Jjg8M8qgFPmtTmnONJhmRZet6/lbM8omXEVhG4NKMgLZ8pQYhEe5sGgHlMhEEwxWJD86QAMlp8BmdcHsmohPUyiIxGNX+BqQIANEje9wfKRq8AdchuQh/ChRZbZTlotQKkw83coYMAbIuGkrTEVOSXXHmBBPPz0AyxcFsQscWtJ/RphzFYcrLOHmBdFxn4Dm7nlc5A8VpahVfmdF4XVJnbj6dDdaWA020O+hsJpB9AVOvlwAG2qEHsxrNYvgZMWrJwoSch4iaYmuWRWlt27KAjkeepSo8IA4YEmsTB7mtETjucmfsZw7pGe/YUgJIe3gbaJCDoxrxylUFx93YMkxfOSwwiFUHHsHxbKsOBHZAoGOvtLwHOI7u5t7aNGPokzo4zqrMQNEBFfiJSnauZ49YCuOGGAwxGW66gMrzPLCWirpiRwP1DUBWgL4wOxucRDFvsos4jwQI3TO2eo/P8YnpADlIOwDJySQvesNUgfwKZBWAWjCWBDAXrPqRGb//afiqM6PZBRw/z91++G/GYgS3Bd2HIL2Qb9InBMhzdvKg6wUa9tCaxpf7+lASAKmDJoFeU4xRFBvbVW31uqb80y7bycgYc6spuQ3D/yfAcc6nU+qqMbtPzvIc4PhuTR8l6OzidQmzuR+R8hOXsNJ2bfDurFdb2x3CSFAFquhG4NW7SVf4aEyjNrFrNe8jq7hgWaoT4PjJMRqLCeMvZgPMhiWWqeSdNJNiorkhBusIDH10DpTjPedxym4D6k6qM3gPHEdxrKXGeHvY265oKLeE/Ux65JLlxGMBx5/MWj7Pq0T4pf01ZOe0fskQbyVZBLNLao4TyPZ4Dbs47uuNmqDzqECAAj/jubAKDvqW/pC7xMhYVxEuymkhvTUFOF600oQL8dAxTomu9Cjso/Nwtc0sRTc64i2rZEKN1Zr0BPGPD2tr1631RW3d0NAI9Lzn53nG/En+zZwcCSxE5EV15pRNaVVT2WpbsVgwNCQN3k2uJT9evFR8t71sv7owyJ/k3Tj9fH267/Ccv/pwe3jBdval7e2j9zfb5n2t2bWhSK2vMhtWgzXJhq0ny+P5G4Fof2KQAYMJZ0uT+dHlVkKDaldZvissg1EF5EsohzK1VLcsPaJ10tvmEVhmve1WvbVrJNqNHMZTtI8roUEgLSMVuJMjjUuoH8emcwRcqDzjfXDwgSVOygaoJP5vMpSgzepgvQPkPOw8aBrvpuu8APSHhUaPYJoguFzoDQw/fAbqbLpOGZJVv9Z9l7YASs6XTD5/M2z5xMsILCOwjMDTHIHYi5U86XzSOUEdchozB1CuoiqJy95ay+4jZ50KaRc4QsCagPH89SVfMiVhM1kyZ5OLDaezhB1IPGfkXSHAHCxhdUpNXUnqJd/j5DlTnkxcFIlxxvk14zsMSQGap2BldimBopC14Bg4gxuXRd+LU0AjyiCAeQwo1bWhAdBD/gyaz3UOLVCYZXWWwiQPLc/OkB8yjJr8R3Au90NvXa8EOcXv8oyFhe12a0VeWJEVYll1g/UO6CdZanUfWsLSelGSLdBDD48JXMvU81zKyeu3V1d0dkrOMRfQ/o35RMEAse+DOc5uAkRHYN6BfYnywI73zPpKGvac1JCtALieE1xEzNXmxyQnAL/G8wBSsQOAYBaMWgVOnueBroayr9iZIXAcRrITQE55O+pDnzTtHW/tqGsv9R7xaLm+nKDQWG0D2MGI09DVAOki+MHQbA0z2M1wpzoZ2bqcG4gxZ2ajnFGLrMp5bvWpf+O7JX8XcohRqJDvb2K5y11RpoAEm9zSLrcUXQf4QzIX1WWD+TjJKKbWYS8Ca3jdWL3eUYOc5B16XaBSoqKiQFnfDx4HHEeOs1sxt0lrsEW11/IMiGuhg6yYzbzOYrCmAli/tQbMcXTXzLt9ZqMxH7Sp/rQPhp8G5j+xG/SYL+SrZjwr9reFh9tUsU5TyK2iG4gKO5Ixox9Bk9GUFVIVYBCP8mteGGNXC96ArF+c01r/AEW5vuk70FmzkrwOwDvc65CIkpQTcrdFVuUxb/MTe7oKWbyJ6m4K3wF2pOu+ExzfQlZHRdO59BHX9gwcV/fJJAg3ekuEtJ5f+bzzfJLFCj3XiWXOYvo4iYNFMZXKRg47n4ROl8yqTWopvsgcL9kpJ/Ie4iEHxw/gM+PguJuAPrFBfYYvFLIsIiy63whl2NKxW3HVH/D+DbUUAoasfyU/yH7i4MbBd9vbqUG+SKw8pXt2zrDsKV3NW+xlh2G4aR+3f2m4v/32+uj4jww2HHRlak2Z2q5KKCFhBgbKXJj5LTYIy8d55AhEuyyeEAZi0Bhlu3eYMG1ygeO1HKYJJLi2qcy7FBazko/kGM1GeW/NgRmMVFBt7QCMswCjajCTX3DEYPLqOmFQCEfShtdBCzDkU/B+2JQBeONroHyKjDRUsRVAHq39ozwsX1RMFHwuAOEA8QlMoAM4E7MPCZgIb6HfqUCbiVeA40y0pkQ9mOP7kMwyyZYRWEZgGYFlBJ7lCKgFXiBY7NFhDkiMOhEDUXIP6jRioRXUZ+qUg80YAJ5rNI4gsxKmoKaP7FOAyX7+4T1DCoTnAQ0G8UDC7qAdwXCBP1AQ6UAUzwHq4GedfDl4NjoPa9YCGxrrkhTH2adW4pB1IRO+hsFZRrAcACXalllcdm1dSZP4yegfR8rAACLCsCl8QpzRjevCGZ61lhwktrOt1cnO+qy1tBzI4G362obarGoPrQDDyjXLWWDGpx866/rO8qKwvu8pr4JrJHySiS2P5yQoUHMcnTEGzXP6lQh04l1gTCDgCvdVBXYV2sUuv5ppxBR/4UaAhYrPI9NWfi4W652dGvEOQXKMi8DxFJrhAB1U4rDeBI4XAKoRyeQbyuZsSfsHAFC4GTrGr7OWIPT5Vi27CAGAY7b5+kKxCQA5jGQBLAAQYecf791M0iemMol3A0kSwUTkMLCzAvGZ7jWlVvAFyR/EcPDzo1wRpDZUUAGwNjJ3T4DjUUSZmvrjM5/d4+V8o/TW/avJr4HokfOh9X3uE0RJRHTuEDDVd8oDUWdJfxrgOF/JNYsxoxvsj1VrzWFjDcA0EG1QgHNplj3zOW29Dz0mOGz/VwDDoTtOcHzn1wiAnLmJ5KB4fcw7dJ3IIQjWVrU1IP5UKnzyjVncCQZ8XIi+M0uaeSq5YhRf9yIB8v2lP5lqzodygvP3B5frli0ug/YBB0R1n2XCiZ9p/atAG6aBYvvLDFHwo2SdeHpAjgwdIxXWOwp8jbXUJvex9Y4qXDtlNt66S+xSf7IJHJ8bQrpRO7qH3HcAcwEAK2W4uJbE4qbR7s3GangLEBOYuufGeG7sBpqX4tyXbFxZ89k6nw0Bjvvi3dse5jNfsV7Z5rZClzxlYND5VJJYoU43geMbMMdHcLyddcxd6lv1iIuLExfr0o1Lscbc1wEFTGiQUzO+gTNpYkOLLjT7xOFq9RPZzeJ/tHfaLyVJsr2Kn/6yX/M5w7LL/rEu/vqGYbhun7T3dbd3/0W/bb6k63eVlYm1a2h4mW1k8kvtQrYKL4/ncAT8wGEboZJN1PHB+ED7NpjjyXFGdliGL+qDugZXmH+hFZptvcAGWmth7FQNYo0DHE8FjiNRG4806kSigRp/lYs5QHZfIu1ymj0JHIfx05hYeYWXLdw8Dz0xnpMaaPKGzBDMImh2KrFCIYjMIwLjaNl0U6ixx1yBWQRoZP25O/Y0MXSoBwDjF7EEZ8/hylk+8jICywhc7AgQ6GLo4glM7MSU+XCYmrqVao0nK1AotzSSoUFeF27ojArxMGmW86wJ40x/LeXyM3Bc1ocAyD1/8teP3mF5WYihC3YOdLzhbQGx54RSZkj+4c8xMVwjYQlQxdUkw3hzxqzCeVzUK8qtABin1EoLDWiZdobUGE9njIcfl0pCVXSG5MwYhPP3Mp2mAV3aAxa35DC39CDnOd4MW0BWOs/BMLI1BwXAJE5QnaKIJbxEkPSW5ZmBJQ6QHAZq1OGFkRUgow5yKgBRqZnB2wMDRhYNwKZOML4ols9AFgApZFrjf2jrv5ppxGjOSrC7ZsyCOUd1e2qDY267PvsMfGSsltaKp8AU5zJsebubFJrlmVVNZgULPfJ52eWYqWCOo1AUYDzmwfllHViScsaoBPAUx7HDr1WXBr8AjLrmOeYcOwIDr0A8RlAs1ozga+jjT80DSNhbzscaHjdlYn2ZWl/0NkBqA6w3nw3hXSMGoh4B4gQoE+aLYjzqL5fHeUYAaznMLl22gPvmXOpG9xu+CWSPAySDMR/1xxGQe73Pje+5J3jRBVdEgz4Y4K1ra1et/IsIlLqUk3gtb/g4DSDHdUF3HF/ZNgByMNplxIcH9qwA+/nfYDVDAz+H7EdjzaFkGeUp7RJPvf4b+1yYlEqPXV9ac5rnWItnuf43/IDneILGZOoqGv/bj8j5S6owu/+QrJF0l8sORdrCUnQY1/hyCbM9k9QwENaa44zB/oBx4vnoRtDwF6gcIM91Po7FUFwCwdXJyPcMt/8co7P8yRuNwBwcj65rrkuXtiNzHOcTmOM7ScORPc4OuISyKjWY42XNDrboBsJ3pPjs/PGiqYorArGnQpz7DZDQN+31k8b2zEdjnNOTNvc0b2SSDrxjDXCcMksAxwuFQ3hpnD0BjkNWBQUbxkFXtziPT4a9SKU7xCDY64CdxImIeBlePTLkht8NJWe2g62svJut8p9OXk7+S3u7/VqSwL5zeTzJEbiaUe2THIGn8FrDMFyzT9sfGu5039Hc337VMHRrmIewElsNVqP6nabcgNK+dUbSU7iQ5SUv/QhQJ5DJEvQ+1cJMtk+twDE5xnfoXEInUPpyjKfirMLhRXIalCBrBooAx+kwjrY4OLqnYbYlY7DQ+FI7MA4gsfrCYBMJO4BxAORKqkKbc0Tk/cRyjb9gIXmrOgIpsPIYRBdiIgRbnG14bMVzzcvwARoNqUTlkOHHybBrBo5Hv9bCXLj0c3y5wGUElhF4641AgOMEM2amUGEuKFmFCdwINrkYa4h9IBVWERwHMJ60A8FlnEMAmMWMpcrplJCFRLJHrlL4ds3uEaz3FnH8VcayMXnkZMXx5QRUAwTu1zinJC0iOQlnw7k3RhhQ0cAwtMjFsxNTr614NgsYh7avF5gJTDqaz2JymFvq9elJis8JrxAmf+qkUn+7pNLI5oJiRmpWO6srLxJbVUiWeklp9NUk8emxgV7LNczxl1lvdVJbbWABuh47gJChsQxxB0D6bmUp9delK91mO+vThmc4L4+J6sQel4yIax1fUXAcg6QYCHA4yFcA/UQagMa4hHI0t5TCehcCJXsaAUyUUIGEBQCkwba5WC8VzMXI3Easltgu00zNGfagi06a4+zEO6fm+LjmyO5Tl4a+u3E74sWdilAjUE4NZ5jiOrzFoo+D9M6slbmuT0WGYN4JiCIT6kD5YA2+o7Ohaoya/mPs50Uol+fR5FRcK0ayZF5IeKUswyTL8tbbIZ/2J9J9OVl84LiOYLDmhvaqzIpdZkUtgBxsct5Q3GGQV7jWxTzF3qw7PzCnaKrG2hWY2pDYqMkkZrcKmJ1nnL8nwQbM17xDwaiwfFvSmBOmx+xK1YIb84Sxg8g7TVFU2eW17Q5bSoCw45YSk9BfAaNUDTsg2ARjHCPFwpf7Qkzg+MXAu3Mw/ORMOTXzOfFDFbVayyHXhHNoV/CLQCjNN/1VI+Vz8tHEpZfWOM8ZFB0g5wXZJHgMQGM8b21wOS+ef7zgoFh5oXspbD3tRf7I1z8JjofuOM9rN+UseqwrB8ebXDgCCvIw5M07213bcm0jHmGHN8h1KBJHyOXG5QK/gwwX8YyT+kavAk20OC/95Jg8AeYx4rx4yjMht7IpbH1cWLYBHgFZFQDDHvrNwPHODTlbrnMV9K/igxwRB8dlhK5YVoUON1lO2eLITh96B2wLyzeZlXUGLsPt9Fb2v2WH6ffYOyixgjau5fGERmABx5/QQMbLDK8M1621L7Z77Xe0x82/3HbtNeQv9QHaV6CVpFIY9DjRBjzXeHrCl7K83CUfAW2ODgEPUrUsBrQXJnJsrjO2HCLQQeUwkiiolgRpG+YoNNdiQgt9uNZ6aNlXHVsgyYoDZ4mbr9jh0qBUuy1eO3FwYvC292jHDWCc4LgHq8K0g62C8xJZvsw0ebAywOoYYAEgp6Y4mVaa62rf8xbc2f1BEMtkzwO5U/szxXVQlXoBxy/57F4ubxmBZQTeyiMQ+rQBHAZYN9/nnXftetyCG5li8xDILEsqBv9IggAwU84LnUv4jiJtSLKQdR4V4VnYqgyRr6nTJdrnNfJjk1OYVM6eyTMJQACNE+GDARkMdDkBvGzUXu7MX+mJxPV7AujnKCQGdJai6wrmo5CLUeeVpGR4QBIkHYnzHgPSCsS1dHleYhD63mXSHBmH+aWrfeD87V41+39//aP2e//P79nv/LNP2vHt2u7cvm3HDx6QBXjjhet26+UX7ODWgX3WF7zb3vV577K3/QtvN3sJIedgd7q7BJTMPW8wJADH1YIvQBjM6D6t6VdC1j20PRGh4DkE2wRXXe22eiTWAsfzYessb3ym1GCBKi1e/H9ocYPNrxZ2FUvwkITKyg1PNzm0mt0Uk6a0ur/QHJccBRLfjiZ3mM4gQACsPtdjZnKpSQToL0zbZcoZDHIaHmI+Ym6CDEHwBMZnmHO+ZtLoJlR9hoB2NLUG4uF6/ZCDQbw5VI11ueI71BMonxdfKKCI0usAOUDXAPD184U5fq4775sbYXD+W+tWQLWKDpBqhLcQd0HuT0WXW1XnVkCLemeWNQCfkFdwGjs7GMUgB8ed9IKZTsY4CokHje3yrTU5fIwGFl2QT5z1MQccMKWoi+7eStkWwD2MI3094P09bwgAbN7hA0+GzXprXQVPBnTDCCxGZ81o1DmeDWGUHHPcOyTcq+Ks1/+knzcag55AYibAbyo+xP2dXwMY5VjXRVOSfV/sSsu4p/izPJ+a1lkw5sfEk/e9yQcZ71boDMEahtxYYwk3emia6wWRbhpMiP0c552/qujkk76Zz/j1HgbHI8dWfMU1T+Y48ISMzGMUotBJRJnUrLftemttBV+ThPFOm6r7nGecu4dP7xPJuYpMyuXVkR6GmyqURXd3zEHvWHByQXSHky8QxVJIwDS5HRyXYo6DLY2gB+A4sXicmbVtDxruQwMKdGzXu9rgOGIrjBjU7dyejYcupO10juJ4xpktf5lyV1lVV1ZsM+ua1qwaPm2Hyd+tXkj/e3up/I0kSRBRLo8nMAILOP4EBjFeYhiGA7ttXzS80r6/ub/7k/3QHzYACg/NmkMEGDBUEiclr1HgBrM2Pbfm4BO89OWlLmAECI67wRhiOADjbMlGAoP2GQSxbeEsALQ9T1147odiKbROUzB5WqszMDs662HG6axxHF74Q0q1MFnz5IjvhbZwsYpAuOgRSYNJRRMyMDjGLh9np/ggRUBJKqDat5EUQae0QYCFdttSTAQDI8WvIVgpYfwUcZWYHeRl6SOeuiuFXub0nVezMMcvYOYub7mMwDICz/sIzJOzOYt1Do6HF6WOjH2AmQlWAnBSBoaU76ChIIBxSHtB1gsMbbSIB6jncl5RRQ3DTld4ccWWWVv+KIM8NeAGsDtIX5sgORhzLOrqqwORIYNJtutwels7kjn8E6ejoCmhn4XJ9IyAPsFxyFlAO3MCBKWdi0Kz/paav2B/42PifXOc1WBymxU1ENXcKFYNrOi22a/9wm/aP/m/fs4+9tHfMjtu7Hp2zTLIunSls4alD07GJFm+rW3SY6ur2srPqOzd73m3feGX/UH7nPd8jiU3ze6296w52JIFSnk1gt64D+hik08JxqBBfAEZGpiMuoYtWNE4/q8yuEmGeIJYp7d8qC0la84Ny1GQgD67y6Ak6IZjkQCAgO4jiwldaasmt8OdugS6PHMgHHiBih3oTAAYju8oPKAYU6MIYwlbydUdcY4HrhWglbfA6xUcmHCfmCKBbquD4pBbcS1yxHf0ltlJNkdtrGDMK/iSHn400M+vzXU02NUAUK22Ht5J1PIHy1ja5CRrQEfViwIjI5nrfAJP5vIr5xiB5/tPGPvqjmndCiDH3kLfY2wvjM9VoCv7gnN1BMeh892tVHTE85zFz1cBQO35Bra4BgXEg85akLzKrW3zLZnm7EJ4DHB8fsPE3DYrejGesw3yEeU7I2uIsj+T9A5lhBxQa9LWwfGW4Dhyjc6whsGERcFmbhaq4ir7JdyEUp/vImV9tMhGbPlk3sNfcJTcSHEuK6ku4AJnZ51ILqeGRA06sRx6LDz/AAAgAElEQVT41iGjTt1RL9z9PwI893Va5x272vsVPAUghdlYN9SWQf6SnUw9gXHJ0qQ2gBTl9++iZGme78Xve7P7SNCUds9MU13fJdhplOIQloBiLORVQIDDUthVKC4h4ND+jU5zktzQTYe1N2r4ay5qrk7gOOYvCjTMyn3/mTpJYkI7CdTXmnTvFQtCDIyeHb0zx48gsYQzGZ0PkHVxGdkUkk472x6C/AdwvDEwx3FmXdXajLxbdPUigWgPV4eaxwmIS/LM8gSxZW5Vu7aqqSzZpNZt5cKdlskn8hvlDxUvVB+wG/ZbSUITneXxJkdgAcff5ADGnw/DsLa79vn2iv1nm9vH/9owdIfpYWrNurdt2dgWwHiKQNScaaKKK3T2Vd1fHs/bCKhtGsZcAK8zguMlncYncByVX2qNB5tiNOPUaCFvbvvaarTBrc26dU/2eEPml4BxtOvQtolsIdehJBCRWXbsIMSQ2RA6rwTIg+Gn9wkGnv4rWN5g1qH1jtJYBglDJEcIrhBMw9k+rmEM88b2WpeeHQ/1cSWdMg32AXFe2cIcf96Wy/J5lxFYRuASjYA4QhNrW9vyyVQlEJb5eeIAHBLtsTtb4HgYeIqdPDGwwbAOyRX8XOdT0KllDDrvxFLBdQLGxfp2do5DDgH+UOkRpoMpOp9agQPowMo6S0qAwpJ+IIwRzCgABGh/hR4rwGQvKocBooDTwoYtzLKl80ljNDLJQ94MR2lHDfQtWOvJYHmWWYXPdWcwO0rMXhvsn/6jn7ef/emP2J1PPbB1emAFJRISK7PC6hadtAlb6zEu+C6DNYGX22RL1ue22tkGoNZ6Z2//3HfYl/2rX2Z/4E9+AcHz/npvR7azXb+zskJA2llSN3a4Wlvd7giO7wA8oRDB+wLJEOhY4/5dXVkMgNxgxCO5L5CEAlijISlEY6QdXsLEjEhxa23fWFoAuEtt2CR20F2zw92BpXfMfuOnfsV+8R//om2H1NoisRffdcve88e+0D7zC99hXbW1O+U9a4qdJQAgus7K1YE1Ncy1TrDsHnd9j+Da3PxM0ZbkUeBh43rxHvthLoIMge6GCoAaJTT2uzLwkcUS9fjPcxRCEdSBxmoQuYcFJPeWQfyHJkfqkecD5xRZvE4xHQH3Efg7v+b64w7VW+75M3A8gJWI2zGPAYyz08GNf3Gf1yDEOHOc8htNZXAuiPvDe8rbhb2VLn2aGpnZDmzN9c66g9aaVU0Qbc8A4jEHOE4B7ieQjgzmMwg7LuvCeeYFSqUeAP20nwL03ZYb6ysYFUMmAt0MkpKkZBbBcZdvpLSPy/q4/wWLmy5h8JiX/mSe7gaYlGc6hRGEIqo6rJw97sak2N+REWGv7x90LLCxuxgmq3Sc9stjfin/ChVRNHYsljk4DnknmW8OBMdRpAXRCv4W2PPk5xGGzZNmu+QgZmzXJzMiy6s8xgiInOAKRA6Mj3EP740bNiPPr3MyyHMUx7DWkLDT47FhBxANebFvk9QGo+jGOmh6Q4bNlfvJb/BzALMCXWokunlOPwfIH/4YM5UEv1YUqmDKm6EwjwJZnVt1BJNzOKeDOpCwMZ0uKgmMgTvbwYyzgvwZrg/fr/D5wSKBFiL2u5CtUxyNdetFCrLzJZUDIgT8YfAd5Mak7q3ZQjM++72DWwcfym/lH7Qb9tsLQP4YC+kRT11g2Tc/hgA3K7tjn2ev9d9e32m/3obkJtpWN9nGuusDjUNCuzHvEhr1SHtQwcsCjj+Bm3AFXyLAcbYXsgUqtxLGVzXA8ZSMALAqxOKILGUCAaJ+C2OKuuxowNmuENyIpYRjBe06TJfJvFNCi+AIjDUw1PMddP9yAeN8DzErQuOPLDQ/FHUYKdEh247sDOiL803IHgJbXKwhMK1OVrNDdzLas6Kt9vUMaU8Bxr0tX/nVYud0Baf+csnLCCwjcMVHIMAN1xs5weAROu2Q+JitT9g5fjPJKiDJmZhHoUscxVzX8QarnJrk6mgSaxFgQMhShGyJt8w7AzaGmTq0/A/nP+HM02UQ4wkDaYDiYHFTbgVJI8+3wRKYe+LsG9TjhMIwdVlxJvIXtNP2JAesTADkYPxkBjVIaJLT8BpF6tGctDErcjtuakuzgmzeHPLXjdmv/uj/bT/zv3/Y2judDZvMDrJrVqSVdbvehk6M0aGQbJpMNR0cR1JMbV0B5NAaR9ci4tD7/QMCIS9/5st263Nu2b/1577e2lutba/vrLvW2StHn7KbN6+ZbTrpqFvGsQHTWSxUZyySUa1iyFU9gTHnWgBQNlgJ7x+k22Bs0chP4HiBJL3vLAHYmwxW71o7SK9Zdrewm3bdfuHv/bL9w7/9D6z72LH9vhffbXfub2wDxuWtzF5pPmHv+sK32zf82X/bbn7+TTtaHdk23Wqu7QYry8q6Qcam53lMa8ul6rjgRmtNvSQ8aREBOlBClrhCQ87PfFdSbgMkd0pzUALI4zPMHxFXxyuUAW4g55LVozEgYj4AcZDTK2B8i84FX0NYR67hP4kf+SeexZrnGYPn+m9GkEngpTTdgzku7fcRHKfefW6rDgzNzNLaKN2Y7gorhnICZ+F1QCaoy1ghNPd0AEztpqoprQJwnEaNJ6bu489kEIPcMBRGkgDIIRHS5t5RIQAJAK82atfMx8QEM76orYPECzpUS6MkCLq1AZJTHsL/DgWwkJXE+8U4QR4o2JvPfC6ROeqFJnYm+Yp24DmAcXbxjlr90SIFUlNm+THMONF9ogLY2IbO80w68lx7riWPou0IjqM5qdhZB1Pq0qzB2BUYOzHvyUolMK68TYJb8lCQHGh4CTzzkVve0GeLiGIKtObgtVJjJxwgz8d6wnqvoU9fClfgiYc1gk6Bwfdu15xncQm/U3wT3isho4b7D6N1GDdPZp2jaJ7uz2mbgYPBiiNSXgc9Z4BN7DJbbVD4z20AAcJNzNEJAjAc8i/1QW/w70NXVj9cfXA8qo+IY8GelwcK7iriDdwDFanGIl88ZwBAnpsd9VZZRWncfhh+tzisPlS+nH7QbhIglzHM8jjXCCzg+LmGbfqjYRgK2+0+xz6VfsvxJzb/btekby+vr60+aO1+8oCtaNhgsh7twQhQEIxLiiIE+R8/oHiTF738+aUYAd1/tSTBmAabHVgA0BpPdtBeTRnQyrRpjJ1cepVHoaUJAuDOajjKr3qrS1WCh6ElXl140kyXajCeWrFBkg7mZ5Jw4e/INDpF1xXgOPXEPflByyzAApLZvcoz6gK6FufMvEzmbPOzMviGjkq4IdTpN+QRwDgPXq8YL+D4pZjLy0UsI7CMwHM4Ao8wThYwrr1egLgzWcch8v2fupFIvpRsiwmkL2o+A9gD6EvWq+RWpFYBA0/oekNSBMmVJ/Bsu3dED+8Flmuw8uIccikWPi0OJ2WTyumckSmwXIbSVNkA6EejaQCoAB0U26ntX5riylLpbsXrAkMLIAbBKJznrv0MuQ4NHYrNuTXb3ooqNduYffwjr9r/+aEft93Hj61/tbZ1X1lhJRme0vr0MzTtrRk20v10wAeF8Ph3nJGERpDMFrm1Q2e7FvJ+g+0Odmbv6u3ffP/X2a33vmjZu1J7Nfm01VltVbISQAVdYrChwagGA3Esuosxpt6Bq5lGEByHqSCY4z2KDbi3Yo4PkCsAWaHPrO8aM7Se43bVZtVmbbe6F+zDf+tn7MMf+rAd3j+0G/V1K7uVQcKbuttVbdv8ge2qB1bf2tp3fM9/aqvPPbT7q2Mbyt7KLrGmqemnCmmf8zzmGsRhFhtzd7wlvg4JbhFgm7Sp0w6SDBXvcwb5ItRpsL5YbHKpFffFoSb/uDLxnIFAuiQ1AJaJFCHNfrEPsVYgrzcWndCB4SD5FM56zHmeAXje/2YEx+ekEw0K5YEIjhJmIWgKpjE6IWDMSV8jyDYdgYBTjgUUIWxjVVP7o29rIMe0hUCqfg0jTNByZEQ7fzxuPouMmAaCAHtrFGzAIhX4o1NCc0hzRuQeykLgByzANMyBCI5DGgQeX5BdAPPSCT0Ex11+BtkOz4gkscbPnguZSo8Cx116iwA+ilb4HzqDwLD1ro+h7Sndta4r+UZFQcsXlgoKkrSM+xPMcYwdXpsyUaudNWVDxjCNV8ka19mGDX4y0tU5HrJlo6xnUJUvZACf7zedF/o1Evssai7bUa4OHelgkGeW4jv2fHbgKd5hTEOvlZ4+LIh1wODsqD+uLgzu8bGvUC9cnhSKt7CcTosF9uVQY6tghIaOkb6woUmsR1zUZLba5VYMOUqwkpuDfwAlXlrry852MONEoRpeMIydri5znFeOdcaz2dvvKW83imOZQUKc4LjWMQtTLFmhUzC35Cixa+l1K3a57R5sLc+Sj69fPvwBu2l/016w30mScwYXz/fS8tW0DMK5R2AYhsx29ln9aw++cfdq+y39xn5fmpXWrVIaB9QryFvA6EfBMFjj0H7G+QVdPiSE53aqP/dVL394aUYgwHG6tsPYCUGhWqBwUCD4QUA7nyM6h2bmlmgFLgZr1mY12o5olIN23d6KITFog1L7FKyCFsGWAi5UfJHcIHmnQRPTIQ84RxZDaF/JxZyO5ugqJkggcJzs8UStdzBtGaEN12gdK9o+1ScAJI5zSb8Ea2J+b/RRoxodz4+KtEykFDovj2UElhFYRmAZgWc+AqcJjp4GjPtBMMGoSgAS6Ea69iJatQMkZ2yEZ0AWghC5ZEPYGs/zCwxymVaDNeMeiQZPS5n+hf6YjwgzRZlHI6HS68870B28V83ZBjdLTwqwiyWxwvZjapIDAJSLElqPxcxz9jnfNooC6tgKMzwUwAGQZ9B9ruW9maeg7JkN95UHfeIXX7Mf/uAP2/Bqa/ags3esXjSQh/qOaroExzEiuH6wjgtqvzq4Gmeug0g4INH6LKwro9Y5vqIzrC5q+1TySdu+fGxf9a1faV/wNZ9v27dt7SjfWJIC3Aewr8416YQCcAGLSyxrPfbjk2c+/97EG4pZr/tdIB4yEA2kOY4bjOJGBbk5mIHZhuN4MBza9aMb9to/fs2+98//D3bz6Ka9lL5s2bZkbFVlFTsNtsOx9UCai8ZeHV619jM7+84P/WW7XR1Rt/lmVdqDo3vWrwDQvzlwPMpM6qKb6ywrNnLoYpLK88IT2Wqtg+N1bznAcRrJgkHuXYRpxhcIQjkBCX9NrUXFjATNQp8fuQ2Yh2zVB/Citn2C5fiO5w0iB40s9TdxH5/rP/X9dy6DqK3PZQwoqyKmv/bQXDE/8lEwNB8MVnaV5T0kOWYtAtJK4N9SPoGADDSJa+2BMOesOhbSoit6vp+eNSYfuaYo3vl+XoDNvqsoAUG5KkBhDtYSHu8kD+JtLK7r7zmKs8fhe4T9Gtcm1iU3dRKGRuO7NKF9Z5wFz3weuSYGT4+ZHweKwhgXMNxlnOtseS8QK4+DLFJqKxSHwbwdD1bXMR/PVO/s8fN0rgvNYta6YcEDOR3WKc+4k4A6C6+xVjWv5oD7gmE885njb+jGEJ4nq3R0slAdHRPqYAMwri95o2DN438sCrvONfbqpDBLQIADMB0dCIh38ByalKuDjsX48Wqig2k/i98ryM46XLCGUaizOrEOXXVdRk8ErHnGN/AxQ7wBRgSKYEVnu5XOFewJbwlwfIzdUAgEQK5zVzruvUE+nFJXvo+hYUYxMp4DiZyKklTVtrBk0xuq82mR/Hb5UvW99nL+g8lB8rsXNTuv+vteTcrHJRn1YTO82273/87xnfvfXB/Xn1uWpaVVbrustW3ZWg8dr6EZdcbDURwHS4Djakm5JB9ouYxnPgJsiTa0F5U8tMCYQPsTKrs4LNRON11WmJ0xEUp6zq+hSqw+MGuq3nagqCU9de2rHi7mYmSAMT60MBPT7joyAlzXTjizOGBqGhcwTvYBzcoAjIMRNKgFi0Yvk3QKGHqKp6VxrvBumtoxzdlSjITdgW08dw6Y7N2AGYElErLx9yH/+ojurWd+I5c3XEZgGYFlBJYRmIFxD+3as9ERY5f7fyTyUUCdtQjLyJPqlJN0QOL6sQAO4M9BDdWBchEAxwHuAfyh0SGxPGdb0ziD/cDOUo+2dtfnRGKC5zuWwrgMRlWI16A5DR1OyKiAVVXAAM61IXEWM4F0dpUDlEgeCUvTTwTgkyeo6N5qBoI/5a4wO0rNarNf/NFfsp/6wZ+yF9OXrX5tZ+984Z12/85tMR7pXSpmfQtzNPDICV5zZHjRTFoJoOP3+mxjvDA/ZQmQA97uLV2ndie9bQ9u3bf3/Ot/0L76277Gttc29undbSuvrQn4MgbhncPrIVmGPjqKGs4ynrPvr9D8D5BHnXv6hC1NyCSyDHCqwBwrze519zgHq+3a3nb0sn3wW77Pjn7pvt0YrpOBm6WVZWluXVvbttkwbqpKAM+ptXlr9w7u2h//019u7/lT7yFAng7HlGqp2YVwvkELZuD419H5ME8oXAZofA4bKaIyBOARBn6QtQCT2CyH/M8MIM9StExIwA9A6bwLkKakrpk+wfvSeZ4AFeiSI350uRXXgqbsHts9ri7z73x37Qn/1ZgcRB7p9zbkOkJCylmk6ApABwqlOmAcvEmsaAoaYSLnGF+ORpjaT1BQQ6EM+QH3GHQFlL1168625ZaA6vwR6cqpae0s3Q3QjASXVJrYuedA5XHFXIjdK/SmCP1wFFSx58+6aT0XAuuVxqHIU1DAZBFTevjcFwMkFz1eO9olmn/RCRI9U6MUJglOCTul8EUykwPmyBHHCph3camLZFpXWrcYY51XWJs4MgiEr9Dt4UUr+G64hIPytambmCcA87GQbnIpj2CsP+FpvbzcGUYgjC3HtR1dOBNcLcNMsbvpeQKAHGS5Wp3pBTo10JFGE2/EOYphABAktHRx6TusP/qOoMjpBaVxs/C1hB3dO7nDeyb08SmBR7+Ama8MfrZDB2BqHYh6XWYVwHKcNTABR7Emr23IJWtGcLxUcRWxo0iCVxk+U+yrQ/WEUXD0AVAZZYrjxB6Pz4xyZ0mpnFVTWAWPm+PGmrq2/Fr+66sX1n/DbhQ/nFxPPnWG2bQ85cQInDMsW8ZxeDC80zb2tUef3Hzn0PSfRW2garBkBQCxt9paJjFpigB0avkVuyO0Nr31eAHHn98JNfSWJ9AmBVs8t3SLVldIrBQ6zGbF4Zg73o8tcBystpXZbjVYA0OVDMWYwcrWrMThB/MdguOZ9b2YeEnirwuQAeEOqWVuORb6YuxsUDs59SPB+oGmuBu8sGGRgZZuHTcSsK8gz0rm1T4X3DuwXbNuYjQ5Rj7jN+1Phen3/vPZjvW6QfjzO6OWT76MwDICywg8kxF4mKnk50Fs+DNZremCYuf29nb1HY1mniERoYPFmc/ouGMhFeeXGI5klAebDvkczjZqkicE+Mg6DHDXNVsZcTlILktBsHO8XT/AcdLA/WqJp3sHFcAithoDTBB7Li1TgdBkxkJaQhqe0unEa4cxoqQAaNRJ74/Mqqay/E5uySaxj/7kr9mP/80fs4MHB7auD5j05Dh8Afh0O3A2/UBNrWNimFtpkFuhorQXtAE3OjDORFX+IPxZ35EBmmWZpdCJ7gfrut52fWvZKrOj6p7dO7hjf+jrv9i+8k99te1uNmSQQ5oA4yQQVAkpklPIGFCZIMzinslse7JvEmx4hBTU7zSwuHXrMXdIZuk6mv09SB5Yla2suFtZ/U939v3//vfZ5yafZZv7x7Yur9mubjnON9YlgYV79c7ypLKqrqwH5//Gzuyfz+3f++A32auH9y2vttba1roULLnzpWH6qyl5GNfiPJ+YgeMq1uhB8AIgYwpJBtfBj3WDtUOAHAWYgsWRoI6HAdq0gp2XHvEeGfhaMwA8adgOFi8AVeqRS34FAAuBVmJ7SwJ0/pkdesPMMiecFPuar9eASRHtDwzYBUBRc75GjpBbsS1ZrBub8Akqi0XMAh/9HdzoF0AzZDhWrW0ONvQ4mj9eLy7fV7ES+EpZh6zmPgyArNiVlC4qdxV1iJmjcA+W+S/PAEqDONPdsSXsd8iHyBaHuSAkfsByZ7eCpEIoDTUWDS+2c2F0xvDuWBHJJ+14MmvZ3QEwEz4UkBXzM8/lF6YbLkKTcsPonML91p3BWaU8Dj4ZWov0BPD1mLCbA3s6vvw1EhTEArQT1SlBd/BMCpNyYldUVuv8a+5y/GWcX9putR5C5kongwh06tBTkZuG4TjkGhTFciug8c02OO98Gzsp3CyShRTt5VL+ADFuoM2LU+gmGTqXXJn7kFCXnMUs9zzDdycu0Kgc4HiHeaZukIKtXPDj7IlloKthKAWO4wyp4SdALzWZ2F5tcHzWMB8d8qPB6nhS+543/befuFx3sOqE4faqx/6dWLIZbKjRWplaUqa/evDS9f/aDuwfJjeSVy/HrL06V3G+qOzqfL6ncqXDveHl7ab5mvZ+++eG2/kX5nluzfrYumpjXbFFlsbNgKybpLQugWajgEVEHzhgcnf5vUyV66cyWMuLPnIEGG44OJ5Daxzg+EbgeNYVVowyJ7GJOuPBGRCh80hwfG22y9UWB3C8qs3KXWIlDG5QUWQWAtMGBdEq2ASLSIcfAG9WhZ0pHlqrbK0iWK5+drbEsrUKLzDTWlXWpeSLJ/b00RWoR/g+T4YmnbLY9CNXOn1zmsxHxvdZ5tgyAssILCOwjMAzHQGeInvMsfker2Raycu8wju1eVMFlomZtC2UxIXiuFrN1dLv0gAEyp3ZC9CZIKYSP+kpy5CMrDrq0qpllwmhm2BSZ9P1yUMOgufS3mHjxWICAX6ejYwofR4xs2FihWRR4DgYTj38PgBAOEg+mhnK8ZMMTLIwLbWD+tCqT5X2yz/5S/YT3//37cbRNbu5uW55W9q19S27u7lPtlRtO3qI5Bn0OEtLYKANAyaOL2ROBGBFy/woEgzie1FY27bW0XBSMAZr12SfJ1ZVh2TA3z161XarjdUvbe2Lvu5ftC/7j77Sjg7v2XF1TMCfEhoYW7C6oNVLn5EY/2c67Z7cmxEkg147WGtgSKfWeFcBigGQmk863dfjYkvd92tHN+xXfvCX7Rf+25+z63cPrSwq2zRbq9IDW2Osd/ethgVqUVmSlnYAvbuhtdvDx+32S3ftz/8f32W3X75rbXrXinVmDSRHOf/P85ivq8k0T8SEaULvQc97BqoxHxwA4/rJBGRQHz+TRj68aQBkkOLuIKyTFKmXjnnAbkSsvQj+vMJE5qEkiQDGBUiOJYB1Q63o06SZzjMcz+vfhF8Dw28Vscj1ZwenQHLKK4GBTa1p7B0Cq2DQWSBHOKos30qeircYoCmMGcH073p6HwGEEbAusLmuGtve2BrkmeaPs4Pj2A8hWwQgbMe8Gftz2ZS2Oj6w1XZtCfIhvCDrM3pfrhg3n9S+78RLboF6jqR81LUAYg8Ia9irMd8oJ4JcHLIQKKBeUOdL+DyJQT8rNBImcI8NBzOpE40zDeuRuZyvb9Y5HPAfuwSwDv05obgF/AGmyvCkqmDA2XAtQkYKYwbvqgHgODsF/CzBPHH/AbHIXeqBz1GhAsIaCzh+MRtPFIywYLEeAhzHfCJSQJaxOnTwE8oqeYEee3xZF1Yei02uzFydacyracwLcid+pkI7CAEArQMcn3fLTd1CYo/HkYZuK5wbJAagEx7dKgTKUXyFzJxAe/aa4wxxtTacFU3Rcr4SHC91hmxZcAV+pjPuaoPjMd5T7BusDN27iA20HhmDsVtLewXuMTqwYIrNEiIKHiBZQle+TrRvr/Nfqq4X323Xi7+f3Exeu5iZejXfdQHHH/O+Da8NN83sj27ubL7rwWvHX3KQv8Bcpz3cWF/trE2OretqGg2U2YpaSgDH60zgODYrBC3QOMShL/Of5XFVRyAW0Gn3cAR7T3w4gQVKImgGBY5YW1JrPNmkluzQhg2THLHmvKPNWQHq+8afI8hri9a6KrGmlI49DqkchO+tWbYdrETLL2gUCEK9ys9AjEmMmGXk8AAcp9km2pegFQnmhTPkfN4ieJr4KfrEoRGrHmv9VgqsE6cp4HIFgDoI4hFQCAEK/vB1+qT4hPnfXtVZs1z3ZRiBk4ffvKDzqD15PgUfXt+Pmpun8Wtnbao+GONfP3QqP5pb96gD/LxnymmvdxI3HO/dbKnuAzCxSqe/1LgFeLp/9897rZdhDj3P1/AocHzco32xaF05KO7/FsSMpKggmzG8KiSzFSD5if2erxeJn343dGr75xdPTAfJyVBKrd8NBPZoPg2ZMSaHAZDPzAAn3G+m2yx2Et8zKHhen+Y5lwxWA5x2L6UkGywFOF60ZD0RhAGIgBZlvAyBVzABcyvryq4fX7NP/9yr9n3f9QGr7mT2Gdk7LL2b2o30ptU9zvLE7g/3KQ0ApHboQbrILKdB5wGTwy1M3/NJ1oAsLQBZBq1wga6A8hkzgPE1dNbjdZLUsiy3uh0szwsbWsgAdnYnedWObt63b/jL32Cf9eWfbXeu3bZtsRHYBmNUFNqT1LYoBKQymSd4FfzfUdpDK0NTYLaDzObENH8Eankj/2guF8w3vU5owishJis+yvzn3UD4GohpAC5AP0dapwH2YPSgoAPwaZNszNrcbuxetI/87Y/YL/y1n7XPTn+f3a+PLEXnH2RzzKx00sADSKa0g13r11almdXZA/vEjU/Z137PN9rbvvRt1q3v2YP6jmXZioCjDF1jcim+0/i4RnwUmWZ2tQJAJkGTMOV7aMx9k+JcjiIPtcNnsViiaxAKifssI9nkuLcCEn9cP/CnmYA5XJpiTnUWsHgylyRSewdNx7AO1CYPNq8ZtPwh1df6OlHY5/IPXkw7eVunzzfX5jgZE/pfnQq4+zzcA0PPO3lm8/uUQ+B1X/WUpGH/3H2cU13P5YwZh8UjfepY09puAscx4wmQi9F5gA6VTWbFA4DjkDHxRZRRAzcAACAASURBVIviRe5FPuwXmAN0JfZoPumsLmtrbta2y3du/uhs05hvDuJw/2SeG7I8mucqasJ8ryNzHBsJJSbbwqrtyqrdyuxY8y7mR6xOscbRATP5h3J6u3IWqD6wC5WcT28dZGCcfTpqkQ8DPZ34WnsdTh5vzebQQ3PxTAd/xHgn7m5MUZctCQNlsntRgIJ0CoBw/67irr6owaRtS/lgKfBy2jvcIJFeVd4BRf3mgSzcpqqtWwF0VLFKNqfK2niHYGDNAirO1Ixns5fQfL/A8+ICBN4t4PiZJsMTf5JkwXS/KJPkhsvjGnXmOOWrfL2xSx3xD8DxJrPiGB3rWkdyHct53yFTh58lMC/nNBZArs4MFKCw/HrqkodkDxnm0U3usZrOVskAqasPh4aAA8Rj6BRR94jWcdqBqAdj2M5aAOJsge+8WAfvj946egcklqGzYUQbnvjwPoMXnIoRWn+xmUUXv+TMQt5I4DiUbnTW8lFkVncNjdaLLLcqKSXLe5zQw6be1Xb9xWu/kL5Yfae9aD+bJMm9Z/DB3hJv8ahT+C3x4Z70hxiG4Zq9an/4+JWjv2oPui/Jitx2h6pwgTHEqja106SLptZcr9iz+DNmVp5Q6ArfXHj2pD/l8npnHYH9xTPpMeqmyhxjdBH3Ox1MOrU7oaIKNZ6SRpzpNqVTO5jeYodBZ9QlUL29iRpVpLz11iSN1evOhlViSeasuaZnqxIkVXjw9KrKtu7qjGsGI0oO02gRh45qbyjFImkJZk8DtoUzLHgAewt1aJXzc82S1FPn8COTgPmz94tDZ92QljVz1lm6PO9RI0AAwieSTKy0Fwt02N+bR+xslAuaGKvT64c80fxv3SRnZPNN2qAOu+kNZxNflyTlYLUOxk/0uio+KSVBgPioB581a6Xn807UnmSiq0coC8d/s/PePQH8U8RLjOcWcrVxrJzpMOGH05vFZx09BubjvkzRKzsCp8uqTLvz3j59ArDS7xzNYMykYTgLXSBeF/Mq/h2sJ8pFeBsxwQ9nwlJqhbrkMnWjJItVfsAGox3MaL8sSlL4rRnXga6TQILI4MAyrCU4P1jZ1zSP2q4Ha8tBUmS2tXY4onxJDaPL48JeePW6rT+5sr/+bd9t5Z3c+q1Z0ZW27g5psgQgCq/YGH7RW5NvrRlqdiMa2qHt0MqksnbY0iSzg7QBitiIGVoU19dW2Zp7RVlm9qC5a/WwsbxILUVQ0QD4gJZ5RpC871LKpCXr3l7pP2nl5+T2bd/z7bb97I3dXd1lOz6S2cN6bU3f2vHBlkaSJQzhEGO47u8EcAag7ZvOuMsEACr2k1j0klXAd5muAtjBa6JgD2Y8GKUChwD845Y0ec3ihOQezho17C8z6eeKdT8MLi/i+rw1tceVl8MqCwObtKWth5ftwz/wYfu1D3zEXrp/E1YrNNKi9ifa1iGikrS2RcFiGOygLW2Vlba12n6vesXe9/4vsz/6p99jv9f+plW3EusATBgAwlx6rZBnTFrLAGriM3cAzwtiYQAj8Dt0nmKc8M4AvSSRonE+60jEkRPrR63w8Zha8GkiSyZaatkOTD90L6CQoDVCD0cwT53EPjHHdYZJs0i/xHM7tt5L5gHs3uQQnYryrqH0BTXYQ/s45PdQ8vL2/OgOGe/53Jzez18a5E4yTePhGtquEw1jlB45zwassT4lyI0tI07JEzdlvncpT/B7N96A8Sd+X6Nbch5fSF4kzHV9tGdFyHHjigrViX1SuQmKW5B3qo7Xlh0X9CjiBYWRpypfArWiDoN9Lx+4BptyZ/26t6aEfn5DXwbkKAVfWyAcNYQBZLk8FSIbCQJgioA5PhXH8COsaRRnkAeBMZ3UYkXKTBRyk0B7BfyyAwGvx31jb+AV64AtnbaUfoH2PwC3MFXG1NReozkqk1jfn3wOjUWbExNkuqUnM5GIFIMJLvclLQH9LuJOEmxxbrgcGFjh2Luhs47CFMaAoOJs3Mfp5sUk3wb8ls2CVpfU6VAMRYEAxrgONtaUqwAwLqmt6Vg+CXNPXb2aFPH7McI742l9ntW1/M1ZRiByg0m/f/+vTtJqxrlIn43Mqrpg4bOHMhLjIpn2okuEMzV8t51HIF8V75obMH+C+DCPxKZzZNwhR9mQ6YySJF4Y6wofY5dR2lrnBAN4ooRUHc8MtbvPPuSMdHGWAbt0z5mfH9P6C2kj7S4+ZjP5Je7JkH6DHFwK8q3L+Q3wm0utqnMRI+vM2qbrrMp+fv3y4X9u77B/kiTJg0s3DJfwgs4aS13CS3+2lzQMw8ru23vr2/Vfau/VX5HtkgPorh3f2Nouh16aBzSztpRne4XLuz3rEdhfPFPS52nhqMcZyZuCQG3mMpXQAYVWGOh/ZRsZZGRtAdEtBcbRHedVWXFExPgBgF1fg9mRDMWyNrGsTgyenALG9RpogxaINbVbojUHXQyo0IJBgNZqmm76f7cOjssAQqYRYxXYgQeGSK4D+KzHfnm/ZQTe7AhMaYyTbCbcekok/U3iuQGM6buSOxWKAlxTOOpYhf7a1870fRbwhPvfuJkoyJwAv4eBRq9LCXtgbHpyJ3p0A8bedWEf8T/VZ5klR8HyniVPAsr3r2csKPAFgumwHxxP/+UGjHyv6RpPppdv9r4uf//8jABbazn1ZutuxjSmIjfORTDGoddKRh4wUf0M8hFgSwnEE/UQ3p4zTHxWPAqqQ0xgB8i9+AwQo+zoCGqb9WB1CcY3iFJbWx2IOXt7s7Vb9rK9cPua/dh/9ffs//uZ37HiqLSuQwk7t3JYWdlVMvDEO6e9HfX3bGswcEwshzskgJN2TcAQ7jYURINRKC6AoFRuq+HA8qS0pm+o+wyZF4LsbW1t19rKDqzKS9u2G8tpJrm2ppMkzHH+wI4O7tvv/5rfb1/9l/4Ve+3wNdsVWxYcXmivE1S5t7rPz1N1K4K4ar2eMX/nbG8iTNpoRj1SGoVJgx13DuA/UCD8N827yOIGs1gG4wRpAY51BYHUutjxu557PlkSzRxUE8DZKglSlb3YeBt0zyWDlR1+BvYqmFil5cMt+7n/5eftI//dT9tL925Qri5FIWMQOA55AhAO0DmA/RKyFTD2bGywe4cbs/dW9q0f+Ca7f/0V21T3+TkFjpcOHuLzNpYNncaigywLPjMKMbimmnedRnyAGAlUnG+9x9kR4OQ+oIyp5xr5mG9MtPPRuJHgPGXLdc/H89DPu70riuIuSa9TKzxAj4GGgC7b57r9NAoEMSOk+/yME8NW91ts3/k61Kmr+eVM2hOAv9DSKMZp5whd7vOMoM7MAHvGqvmJ2GEMFMarffi9gkgzP8u9U2L8lDNg3AkyE3DigcvYXeARxCObMAN8987VThrf2XFpxa5g274rXQk3xjVIzUSfATh5JtY/umT6VW+7VWfbbGdNWhv0qwmOc48FtTSzLkXxzbWLAcqOLxiyHBPgGnmGwLNce/QOex46GErPbXQtBH7h/QDWLMC9OW6LJ4AzBNY0ADeA49Qgh38SZCIETo8AONYSjTvDzNh7YPfm0XT3vIdpdjvHKNFjM+zQKOq45JAHS2LMC9ynLQTlJGC6iUIuzivsc0T9p4IEz7iQj3HpCr4zR0tx4Ayf5CeBHxXWFBnzLcFxsuc9t9O6nYPj51kFy99c1RHAuUTZLErQIS7CHIT/mUBXstFPHC4Tuc93n9gfosTnCcbYaDexC7SBEE3Xvs255+cIi6JcoypeYa0SlwAU4kbnYwF3T23h5IK/qnfj8a8b9wf7IYa+wZhBSspAYkisrHOrmtKyraQFLU3r6sb6HyQvJX/FbtovJ0myffx3fL7+4pxh1fM1SANoJXfs87vXuvdvjzb/hg39TbSTQNKiWaGFNsprz9e4PO+f9qzg+HycgpnAgI4OzbmVYEigFQZyKggCoX/pwHaA4zLA6NgWTf2wNKEESns9sSbpLCPhyI3IcNAFaOeMBaYSzu6SK7WkVJKV5FkYRFJWRQY2NE1Cwus81UikqCvpGq/zpOp5nwvL57/CI3BKEvkwH8ibS/0XTIz2mGiRvE4dJHP5pCiYBUik1FwyWwHsjSnrDOymVy5jyWm3kYREJOb70hAnyVMn78pJkqVaZGf8ErKnTuR7kZjN0n7HtkdQ5KFE3RO3eCWHxsYXXgDxK7xeLsmlz6dprLX5vBJLCjIjbjgYWuSUf5AOpu0cWKHMwHS2jUwsPG++9vYmNPYAdAtm1nrLa9qRmm51OVgDA0LSA1urVtLKbIfcrg837WM/+pv2d/7q/2y3di/TeA5LC3xwMSOpDurM8ZqgKACdpmvYjrxOD+wgvW5DD9j7mCBI00OXPbEiK/g1NK3VQ23XV9fswfYItogCgYfOylR+Jm1fj7qWAHjRrryzjSUHg91OX7M7N2/bn/ngn7WDzzuwTXVEZuVhe0jQ8n55nwzpcqikGToaemuAYvw4dlEc9J1Gw6nkGGx0AOs1pRkAdueWgMVNKQWxi/HcAnIylJTx5xcb1w0Wy/w8j4fAcYwf2rqT3rYA0RKw+fGzBLxwM7Ds+lv20Z/8qP30X/kxe+H2IUFxXi+Z49ADlakdZXUAe6t1gCBZfb2x38h/y/7i//QXbPXezF7LPu2cMPDNCxVVwRy31rWiwRqtaL5KzVea5TVsvwZwjpNBMjDne8wLq/uM2ekeArTjnCSTFb44mcBKLzLllLfw1vvwA/Auxf2rihNiulp8pgYgCPInN3sDaEnjQAAlYBEOKPrE32guofOBgCPQQLJqZwDJKN90opNzPI+iUDOBNOcdwdPA8VPP37Hza/9OjWMeJpPz/Wc830+m6HqNsVPDGc4T3O2HtYNU0zUKuB3ZywxfAAJ3Vgy5FbvK8k1h+S4nSIvdRw+/ZvoN+EhjjKE/TGPVzrqqt2bV2a6orWExq6NhHhje0sfOrIN+teuGizUOrX+8HsBpSa7Ee0XHLX0iUFwCULdDIXNiVUMrnMRWmoai5KJuoQCixyDGWa74rOpa6FnQITOePhH6LCHhBKycMhRe9AlJimkO7s/qIAvE7BbSHt2CmKNi3LNTl2C3M/6plAWjTTc79XNGsmAuRTGX84oojctN14t3meuPB/lKzF50YaAtOeE9anNIzIgIxY5gaFuQ0zGLH8+3jSx/dUVHgCsahRnv1sKejq4F7O8gEkjCTfHTftOf7wnUI5+6U/Wc2GdmXXe+X4mIMwfIjRJvQRakvwGK0jh7x3MAXUSzjg6+hVadXu68p98VvWmzyw4JQe6ciZMj4CbhpANI9abbxHJoyiOsSIc75QurH8leLP6aXbffSGAcsDweOQILOH6GyTHcGT7X7tp/0NzZfnPTNu9AJ267VqsWDQpO0beLdvZglJ/hbZanXLEReBgc1+bv4c9eUhgfLXT38B2VW+jrgRGRIfjbQQdMwSDB8YhzPf+bg+N5ltpQJNaujW3OSTOMGnViIykYU8I2UEMMNAUEgtB93KHdMO8tpRy5MyVSBY80+iSDgs5luowZSzUSX23KV72t6YpNuuVyn+gIPKojf29tzyQVYi3E4pRWbCSRUyt3rI35xc4llpRoImFr2YYc7dlaW0pYIkkcgTq/2GiNpBBKtAXHXnFidObnzxi7+nO4cqnDgJbifXB/vrYj6Yr9aA7mS6Jp3KomBuFEpNuTqOG+NAN0xqF7ond1ebHnYQRijcZaOik/pCUxgQ1k9jrzlGej62C69DTEeEcgHXIsGRA7YrPBNt3LTPw/wgxTTFrrgYSCoTdYg7MUJ3HaW55J2zrPrpm9ltoH3/8Ba36rsfL4wMoWADMU09VC7434zmsWqJ7kYgpDk7ZMCjKmN/bAcuusAZiaVpZnlbVdb3W/oxTIalUSGMceVWYHrpWAOjhkRJAt9QZpwLoBGzmjxMq238i07aC1T2SfsPd90/vsq77lK+zBtQdMXG0DCbfEHmQPLIF2NAvx0uzVLjhnweKTKLHegyKd4Yqf4XMD9CU4TsKADEsJ/kIb2R26CJT5F59fQE4GbpZPGBwnc7xjfIT5lAMcBhMLn2NXWN698P+z9ybwluVVeei35zPdqaqr25ahaUDGFnAMPAYTJ0QkPI0T0RCHpwiKRgTH9yIk8NAYwJGHorZCov6cjSFooiQOoEgkIINM0t00PdV0x3POnvf7fWut/977nLrVVXWrQnVV3du/27eq7hn2+e//sNa3vvV9uOft9+APv/83BBwPGsryUIs5VMVW7qfUOw5KlBIbCXUViRciD+c4MbgPX/Btz8DnfNs/wuZw0zrvOHCxdUDw+dyT+dk4QgTNVVeYLQ9MgsVgUYTuTav1gIvdgeP8Kax/KaD0ZG8EfeS8DATkV0ZhIHEm1wXN1OJC5yK/nBuO7PEtQ7A7Kftmu5wTStIgEK4dFgQqxeeGgCUBcoJ61LgVcESJGl1LvQKPUlvuSz60WMmZTO5umBTA0fl6cHClBaTl+O5e54xX7DG6F4D43r+rRIoyjDuA1V2x2+Fct5U7q7vieh+Y0hilA6n6hXn3PvLZBSxmIcaXPShI2b1K6RzTuOZe6dZ170PJxzWgWwxVkwY58+GoQB7maMTAl1In1McVx0juNNLBqnKSnL+dXoPGJe5O2A5CDI3M1joyIz+VV9HCDBmtvDZbF3aN/WKPK2iKLJ0FPq2Zsw2rGMJGNB3VtU59Zc+AcwHHexr4+4PjPRmELjiyIoSOel1qh7ACke0ikdkn8jHsFHZEKLcvysSygoGNS3//1LfSs6rzAOA6ojm0kZzIxOWZk5BExTXFYhMLCQqikWGqa6Bn7nnAfeTwaVfoCNiUlDNazlbd31kIpQSd67ZjzKHeIm5vsjYFeb6u204sxRWHls58m7OuU9WtLToDiGwr934pVum3gONcn8QhJI7S/arLNOxPB9++r9CbthiDVvL5GwTWMqP5FGMujaGoSBDROyRrUBYFgkH4yWRt/Ab/iP8r3si768ofhP99n+AQHD/H2Da7zfXYxfOKE/lLmqx6aBM1qMc1ZoM58pCBhQVZSxWsQ3D8f9+kfaC88vLiaZmiBpBriNMPcBc5KuLMTiPOjAwCXzayUAJTguPOTMvlf+ZIzqDTAwiOI/Q1gWBCTiKAsDuYqPkaEOqZA5/CmGK+SQZBhSJpkMU0aLFDyYQiOyZL3+Cls2Mx6UjXQKVcj7O0HD5Q7tHhdRyOwFlHwEDaDpp2bARNTdr1axrDZ653MveUPeHYa/sxWPvvvwAGm9amy60d09V1ZojsQKu1aqwvXXSdn4G0Oy9dWR98XtDnWxwJWbumISi/8dVkUP9dX5aFN2W/avu+K+4pDOb8C3S8nJ64giAuvTNOmLA9nDGXMh41mV3AFQ4n6+EInPcI9MFxm5ln6PM7YEjMpcT4U407FTZXnVoB2MoGKBqVXik9xAIGquarnsUmc3ZGxMy0zZLGVhuWRtbatl/R2KqpRfcb1POdB/jwn/49fv91v4+j1VGRR4kIAEmRScplLWQnwHoYIisJrIeIwxges6GGCtU+okGAabapfiHOCDvwKCSOvCqR0YxpsoYqr0WKhXrlSTQQtlZazTFJRijyVMBWeb0oFKmU3XwXzdDD7nAH5UNz/MAbXoadjR1U4wp5ViFMIuTsyiU+K9mZDUpvX1IWp8L8nfSEk3vQPcFplzKGqYQxreapyhIng5z7hBXo7d5xYyKYKiCcyLBo8eMgX/sxx0PerwVwnCABfe9CeGSOF2s49c6T+J2XvBkbWxMEdSLMcTFaJfNchEMUiCq8Bin3vdrHkPIxfoZ6dYrwMTG+8WdfgO0jU5ThTLXEazLQPXhWqVGTPcLklKzhNbGIynlALXOOrcZ5FwPv9sHxFghsWc5d3Mrr4jkk0hWi76JyEDTqTGaxkDvYtSD+j61Bn0HHJsvlzoNWFtCc5rUP0iRjyOoV7xtKQVCHngxCbRcnSC6a5I5F6AQlKGvj5CrajoV+3N3F3PufzefjcHD22dWBQq44tPTYBWa/Q3IsthCGn8rEtEC7Pb1fXO/fm06WSFmT4ii0ABCdGaXoS/b/Xf8snaEedYPVaJeyOWEaivcR85JI8hC7oJZI3tvrOD+ZT1gHdTkoZV1WbGNlh6tcn4Lj7bywAIh7nbuuduSWAHKRGxFdXdNBZmFGdLlVC1k0+Z3ngAlzO4hdazMaMzW2Fzlw2mFsEt/EpUiuOCNPI7LrOSL1zr6m/eK9VVJD98X3sXdt37umYbQx2pV/0BUPydTlOMt1WTCkMkWdRFVnimMnWVv0MCNkCdS4JVBbXQlPLMyykMk1JGxcnkWUMFI9MSVEiAMj35SyVgfrvDnInnv4nAfOCEg3hW0ersNOzMtZEGbHBtcWJVql4059WvQ4tmKPypR3xB6T+OlD5Q4HW1zj+jfpDArUNFe2CSmKWkeKdD70pNpckcgKXe3pdMCz/4FzFw5+Jbx/VACQuInxrOWGsnF5lKejPJPGU2zoqbMSdd3Aj6OPDtcmr/PX8Dveinf84FdwdT/zYFHl1T0m7adrmmYNx6vn5Jv5S8ud4olk1ngjD3lSYC+ei3ZXKC1++xifXSNjdC1/zP0WTxeAW+DkHtRu4l0AxaAvyR04rhIr1B+nKUvXFqiaeS5oElCK+S8NOAMPVaXaliSGi/4xkziZj5rACAzAVl9WaMkWjys1z0kgQRQ3V8o7dMyXLoDXK3W6jD0wq2WJ8TIvLrm4lufP4We/zCPgurJ7qWPbIWFtvi7/6a/1doVIV+JiY+1S/+GiHErL6HJpoUJ0tsw0SRYdPpODkFZc1/aof24ZSHySgRTLjUvnGy8SnKKOsbQlU3LBJFkdOK4GcQpcONCcu0XX1quAnuaRzohadcmdHmfXKaPAeG3giXXiH4Ljl3kJXMlvv3j+ygHYYyD2YUMFSLRk44OyRJLAEbhjskBjSjKnSragslBNVqxqcZIxKxIfsji0lX8JElHYqa/N2R68QFlWCOMIVVpq0XsL+MUfeSOaOwFvy0fsDymmIuC4ShxRAEU7uCgDUFQ01ByhqXyUVaUGvARe61QTy6RCVmfCEl8/uoZ4GGN3PsXO3hRlXqOeA0mdYOxNUKQFEiQYJEPMsjnCOESeZ0g8MoNVtg2xh2kxZ/Ud88EUp8fH8YO/8AOoH1lhvpIhqyrEowR5laKqC3i+A1YMDDc/kjO7XTSW6MdHjGuc6TdNGPlKrXwKGekCmhIQVfBfQRzVIhcpOAEGD66ZqzOCOxrNAmkySZkXBccLY5MG/DwGjgc5NZlXhTn++9//69jYXhV9eNUEV/a0GGkKK5NyIR7mYYCipPZ4gMivkDenMbs+xTe8/juR3LKCdLAluuoEuwUMtMNAuvdI0Jb9V0Fxfss+S8Z4E3fC0AdkPy+D4zq3+7Jg3e6gmKZCwe6MpGFiPEsQFpQBZBGAmNviPBDpk17ngB5atlbl3qkxbKvzbOxBAcepPxuo9iyZ+J0xG807VV9fdHHl3HQGiN01OtjG4Skd4NwHsvumgwfZDdsA/8wn7yt50+0e0i0iMkKL4GRHOumMOHV8nFmkQsCyb2nduo0h9DOfGa30Sv29PUxfU+Q5CEJTOiePhD1O7fG4jlVrXA54R5gxKQ4x2tQtMQ8LFEmBasjcItd9CTTmtDsgAYkWJOVf2i7ULjxazJuchJ3dX2r+cx+mLrfI+XiqZlWy03Zg5rSd3jzfoO2YE3DfNOp7zG2ny8BlxGKb7kzGg3X+FcYmV1b7wiReHHB35xfkt0y+pweI60t0+5V0MnGBy83U4dGimM5vyli1XmYG9GuM6IqOjlnAAhI7gvldoaL5JsFx/t3Y4urqyX1E4zRxEuYbeofg+EFW/dXwHO0cUV195b/oOmHRietNOhO45kQTX1zHNTdptfAZV9nm44o+jE/6nWL2e7cH63Gg81bO/kSlfti1IfJGnPeMfew/EnaUMe4Kiv0C1D7EoKvhxpznZ9B9QmXHtJCo5sdyngguad12FbElmhoDZVqhLoHRaPLBZD3+MdyI/+x53uZ5vuU19bBDcPwst7tpmgmO46n56fmPNln5+VVTBV7soaLREjUlOSkDDdfb6ljPxOyamkXX8IfdFyB3DIgzJEd6mqbkgpF5kyk4jhxiwsU2QsmKGJTqXtcziFFgXD1kNLlHSSYAkyiXPGqiIMm2JdxksTFoEo38mMwC1TCtGDyxQmtGncq0cOxZSzIMJHRMUceQbeNBg8Ku4Slw+NGv1BEwgzBN4TpNcQUCFs0nDRvQhNClRm3+0zey7II3XUvGnGwTI5e6mq6kafo5VpHS6IzlKkwNa2cUZqllULKuDQs8BzDSBq/73CMJOqUOZzrjgr+bHqcwxclc9RQgl0C6Y5Dr2yvLSaNhS7qcwagzRTOwxUHmjmXLk1OBlkWo8UqdSofXfblGoAOnpBG9l0i5ldrvWNAkrQPEvJoN/76AQ5EARAQsPAXIJaHgOiUA50AsApMd6sX3kwZ/UwnQApOd0zzGqxphGCDdqTCoAxx/53Hc+upbcT1uRJTSXJOsHwpXOHCcIioKBhZNjbr2MEgmKDKVV0kmEVJvit1mE+Woxqc/7mY89Yuejod+1vW6tPgBQyC7O8OH3vMRvO333obqZIlPC48hSn3URYXES1A0BB49lIZVJvCQU2/cD0BoK/BjZFGG7dFJfNXLnouHPedmbK/sYkaWZUg5iwo1syyyx2UdO+M5B95Y4tpKR7SBRStlocldB37zNchcEyM+x4akdrc8xkAuMew0xn8rB3KwuaezQEGiSjruVIKOwVdpconSuSP3iJ19AyTpKj7+3/4Bb/nXv4tj0yMCzpHVX3pkxwrMLuA4tcdr30NK2ZqqQVKFSHwWO05iNsnw6Oc/BU//9qdjd20HWTwz8zPVTXZnDXEzgvSUQvBpxNlUAt4Tkayp7SgBou2/BxgC2X/b86OLZFsoov0nx8ddRGEJ7Ao4KQbyKusnJrdlnoVnlgAAIABJREFUdx+1BckuTt+wBXlFW1mc4vX3sqwIkJj3TWvQJlrJSu6oBCR3fji8f6Y/3oKHLoZdKpr0AM+uSKNFs0VW9QUO5L4A+Pm/xiLruxdl2wHf79RSebP26q1zS3PQ/WVU+kD5PpkKgTB2Jtj4i5RUEQh7PKL+OE1fZXmwUFG0QIywTMniJrPU8yWHKJJSwPEyyZH7mXaCtB9Oi5Ku422xoNWBX+6ztUCYsCHVtE9BO1oWhwKMs2MlyCMM5kMpaLb1gNb7oIsrFgp1bnKb6bLVtHrjqg/oF1I6OYczdeyXiQkuvpFjRmwejPDQ66DpLasWO1BMscdS531mDCqdFzpHtUPCGB2y6dKQlMxbGm+SLQ4UXCPM9US3X/XFNUbryAs6X1zUy33rEAY6/xV7FT1SJoFrDennKq7rS+MiIeW0XUOOvGMdRFVPNsi6h1xu4uavjJhMYWIWil9Ij5yB49zXZe4LCVCJOCrr2s+2dNxdTuXm75mPuIruz7k+igA8hZGVAulQY2zgOiID8eQQ1oN62JCcQd/z1EPSxAiS6L3h9eG/wnX4n57n7Z3r7a613x/uivuBBqRlnMIT663iJfnW7Cu9AEk9aFDSeCRiTZwtjgF8miLSMMYxaZfAcdU7O0z+r/ZF5RaRy03bwKofqBk4pq2pynYh8yZJ1TSBZCPRdWS7LBNtd2ap75IdFg4ct9Y8/oJOXOQUie9LB8SxU0n9isi8IVO8FNZ4FSswzmyeLZWl6I1zA21Uw9GZ2hh4xZbwFhBfSHR1Xjf76bFe7Tf88PNdNSNANrOl5h2jSbolurDLYWEarBknuj05ZdUZW8J0Q80IsF1L1tbrkhunJS5gd6bgm5wTJMO1DDhNeBmcnqk93hv+5ez6gu4MO06UgdlvIXYMNWWOdzIr1BomeEGWh5Ngkc4TYzuJAmFr+msyUEYj6fswaBFuyfDrgq778MGHI2Br0davFlkcP7KHgAjoxozMSfrwLKXUiYIPTCCkBm0AjOpam+ZuHaCcF237PlmqKmnhpDz0NdVYW9++sKYvn2wevq7vIZ/ViJkRToHfeeXv4uT7T8DbjjD2xtRdEXCd35Yyyrlc+IVIGoV+gsCPhJHL0GDX38GmdwqP+Pyb8GXf8GysP3JDSIAiDcOXsHjBSOjACeA3XvdruOc9d+E6/wgiSoN4IYq6YPsZaj9EUeRYD4fIyxTUEC6lYDAUBuhWdAJP/Kpb8I+//4uxs7aNaVQIGJYQSKN8S0MDPtbGTHajZTVqJuu6TLpuk348rJrJsr/VMYKaEh2UmGF6p3rI1CKnVENOLWpuO2S1VQHiko3EJAXs7/lzPuujA8d9VDZwZH5zPxNQSZSmfDRlDRpPDqoRhrMVfPAPP4j/+qr/jBvSY4hylhVC4XVLh58IoVSIKHXneZgHPkrGeojgVTlGQYmtcAdbD2nw0lu/F3s3zjAd7liBgfu9FhcIsZMNys9NcDxALoB7JMy9EJWXyGMI6/cBjvP53O4xrrvHYAcFHwwoWwTMFBR0jD8BMshqbQLE3lDA8KZsRKeW5l9h4SO2tnwhevRjRG2Aahsj6bdqx2qLK/LhNAwU8CQgKK5GbfIt2snOVJAT37pATL/enbnuk7hz3Mn/ueJZC3heZPx6vl1a+98X7VLoVw+cIJkrsTugtof+LpTDXcdWZwK5CIj3JUR6EY2uWTILmxi1mdCyC5o5iTDHp7Fq1SpBH1XEIpXqVcvzqEvMQhXnKTtcqN09IEieI48y6YYQHeGWWapsZ2eaueBbZEzSZXBcilWuVccMKwmOi1QKAZ8sQLw3BI3nZC3LBngWqNfAZI6BXpNWNZygzRn4sNVMRKe8Beks0++hJovgeD8T7ADohccswQFijCmhEK9fYyIlVGgsKIaeizWp9u9kvBdJiiqiAQCk64ceaFwflMcSgNHMRt24uMKEdHRwz7IiwYXsG4ePvTpGQKc1T5EOvHbrw+n0u1idc5OFtLZzwQzIBUpQQfB2zmobu8ZXbYGH842a/rauxLNA/M8omaV7oDi0WIdM21Dbw8/6HSfdOdUtj6vjrpz/p5A+XHaGkEThhahMa1zulJC7FLsRDMcLENB4uYgRZgGCuYeqrIvh9ZPf98b4d7gO7/M8Lzv/d7/6H3kIji/d46ZpvGwbDw9OlS+ud7Lne1W5waBsPipRDmoU3A0YDjtNRGMxXP1T5fATnm0EXCDbD0RVN67T7hYGgSQ2yoDgRhWXEfxdT0w5XTuTJuC9fMeBU71E0yUzEmwKY43sTgUA5G8CsCmrU5JdyqgMVFKFyQaNnaSduOHf9VzrKrKO3d5XU3TtnE5j3Nr5BPA/dDs/XBlX8gh04LitpBYecMlkB47rYx0LWjBixzBvCdTa3kYzPzH8s3Y3XfuO9cO2YEoCkKmqj2tT2rYlsa8xbqlxP7Fy+Z1tFwe5AxKnSnZk69miTwW4HZOpC1gVBNcEUWRY2No+8EXT0gHplEdg0sbETH5v+5ZrJxbV555mIRPVw/LxQe7e4XPk3DMWuE5dBcVbXrhLrIzd6STAesRv1RyXRW2SRQZOOqYiGTci1WomhNT87gAecREULc5YxDc95HKe0mxbk86yLJEECTAHsAv85Lf9JOLTIUbNqnSKsfNLG8R0DxDbQVlDBIPVdE06wyiNttLgdLyJm5/6MHz1y74GWGuQlzMBziOaevZMvKXazg+aBcAm8Ov/76/j5Ic2Ec9jrMQr2J1vYmWwgqLQ90jMpKRg7y15Rs1A1vBOcAp4ZI0XvvnF2D2yjWK1wbzK4KcNRsMh5tVcBlD2OjE7ddmvxh98DQI3RZVjPB4hz3NkaYrJaIIizxCFHpD7SMoJ/HmCEQZSRJDhoB9qMkc6SLEbzwHqoO/sYm24imGRIJ9naAaeGDYe5Gs/cJxgI6FZMto5myilWJcNYj9ClEZYma3j7W96O/7m5/8Kx2ZHkRSUVQlQeh4KY8LTjHBARh2AjFBXHMs40zQranKk4Rxb6zme+wNfhZv+6YNwMjkuBIYoiZBOUwzjEeraR1aVqOn36RUIUSCsa0RigEowPkHNmFIkXA72+bUC7MgPet+c30WLVNuJ1wLjS0AhtcZ9Jt61LxrVlCMKcx9BrqZuEY1DRbe/J23E16A6EH/uc+lKkFWT+MpTw8Q6qtDEPQ3lQJmHuTAM2z4kuX4FFO1cN3KHA8NbcLwFUS8ufj03ON7F5MtztGuLb80KbB9yQJT6IqiUmgLCApoSGA5C+IEn8kY0kZT8wuJ/2QUptcj/xCDYabCoyWMlJtzcn9gtk6Ao1PQuDiIFmvc8JLMBBiUlS/Qe8UwXCTYCMUUtGuWiqGTgahEWYuRbj8geV2NO0Ym3tanAuMVDRuJxgH9/bhlnuzdUPSmfJZPysIqRpAOEhbLJpXvBTEAlL+HQczuTqW0SNRaPiJgEZZRcvuXe8WyIyJK3kptPCvLv82XM7DOA7f5DeVsDlUUwqrp2B1r1SF63U62SzyEcW4vPRL5mpQLHvpVjcbIsQlrozHW7+NLsni3ocvHcQfbPw+dc2SOgpACdv65rQffddjraB3TVzF6MZM+lWbUz6ux7f7gCjwISXYlPQy2N02R/NxkVN5JdEdP+ZSEf6pby8uOv7DtxsKuXErrs5YxYQjE91k4qFwtzD3DkJSVhcX+XzqBUjbVrr9lOVpLfCTain8BRfMzzGO0eftm0PRyI/gg0e80N8x18nbeZvtTLiof4lKSIS8yHJbKYraiqL5mwqt541uJ3mN5f67PIsTtl83ctQg4gl0BcZRTISiPjgnrjBMeDPV/A8b4JXzuWgkIpcOXYnPr6unQ7yYZFvo876Jhwsb2uoM64aXuRhcT9z1OHsg7sWgg83et3VVl9fwPHW7mYXqvftT4BDj//FTkC/RKQfoCOgaqBXMcU72wmHZDQIKTpVE/vVBLAisUv1e5rpLtYC2KqJe6oc3qOhE1k8kfnGL7Fy9IH917qbM++Hz9O3Vr64IQxmPS19Q0XmJ/tg3UHklZe0+yUP9s32Zyi40lQQ3m6LWCpY+U6rk3n/IqcOYcXfflHgPPHCkvW6eH07rsEoVvVjoQoM1sMYfvSCx207oBBkQ+QtcsiNOUiCCQbS1u0ykM0pRrGxZJSeCgCGigS12WqQlmVCkEdwZt52Ptohl/5kTdgsBMj9kYiKeE0+4kgC9fHdGfFB0BkOjwEkY855jjtncZjvvSx+Irvfy7mk114Gw2yfAavCBClI1ATm+9F1noTFCBIW89r+NUI+cdyvO5HfharxTrCWYBJPEQ2S7UDsgZiSahqYawT7A2boQAx83AHJ9eO4wW/9O0IHxdjb5gKWCneKATtWWwX7M20Lq0jxJEDhD3KLjXUmM+mmIwniKhzW9ao8hJJGKLeA44Enw7sAH/6pj/HHR+4HZv3HcexBx3BZ3/Rk3DLlz4RO5M9bHnbSNaGmO9NsRHSaFS74i4VOC5dAGREC+Cq4HhF+QY/QBLE8HY8bOTX4Y9/+q34wK9/ABvTdYxqyqo4cFwBW95TguNy/ym0EgTKLK8rhOw0jSucxA4e/AUPwde85quxvbaJaTgDlVLKrEDox/DrCI3nIxfwrADFbiipEosfTYRSmONk4hH9Ozg43jGXe5J/pl2qYLmtn1auyEk/aCxIfqqwCimJw3nD9cDvXNcFMhaK2A0g4kXd8epkLdyZs4Qyt8VZOUuYd+m3GHbyW86aGpnIrJDN3KMGu8PR+rwc4NpnALu9y8XQB97L7ldWxQHjjj6z+C66RhQcbcFtuZV2sJO1XTWIwggB1wzBXwP/aayWFzmCxG/BVWVqWmhg4xqEgYDhWnTT4ja7nXkjfF/ZhHwtFrXJHI8r6urHGMxHUgyivBSvvqyl3A0/CBBHQu0XKUiZ5NLBUaKKS9TUHSc4HhXIfUqxaJ4hZ74jCrgCWktD0KBA8eRlCZ821LHijY6PdNUZ2MP5JmaBJGGT0c74y+SXFirvbm+VsdCcTMHxC+AIWnHIXWUbP+4LAfRMbfq3vkcwlyKcsfHbjqR+rGfgOPc4VzRl0ZByd2VUIUuo8S67i6PwdlJ39p4uX+yEzU2eTxj7prN+4AVw+MQrdQQcJtGB4yqvqLm+apG3lZ/2L65YpWuwzX20AtWeF20xpsUrjE3eWz+LxRt3zvTitbau1dIP29eX48jhIlfqDbjI62Z8SBKGQuHsPlbzYz3+dL9QI16tqnKvpz8Iv6M8hF/4aPIKQRLcE69Hb8DR+FZv5N15kZd11Tz9Ak6Fq+Yzn/WDNJvNepHjObOT+Q97+fwxEd1OErpxV8iTBgUDMp13iEyrka2UBwxNr/4BvRY+oWUPrZmebFTOcVzNJRQcUnA8qiMEFTemQNpb4pSOwhTuFE7lPj1CFjg6zcQ28CdrTg0BhWQlDA9xRJL3pAl6QVOjpJEgigwFCcSI1olWlW6YrtrrmOMuUNQDszuwHKDg2p7c7xyL7lq41Yef8eoagTZldUUo+Xhd8u/q7/qzVSV3IZswJiKCJwaOKzCu3SE0r2GSxp/UFJb9gb9zsgOWBDtikBvZLk9rV58GqO6v3AdatvViy7oj9R30UHdA+mKu6BLXJXTemH0EKAiGMy6reD5yKwshfgZko5U0GOxpXioYqN/yij4FFA6/DkfgICNwNnC807JfXguLc60P/ilhT7+N/WwgjBjniTmndmr5VSNyKLK+c8p8hGBnO0/iyqfBGRAJ+G60p7kHzAJ86I8+hD/7pf+G0XyAyEtQlVUHPoqQCIGuvsFvg6aukGKGYN3H3mQP3/Xa70L42UNsBicxjfYQhQF8xhHTESK+bpHIdRLx9ggsViUCX9nYH3rLh/CWX/ojjKYTTIqxAJoEHgmsxCLqbeA49bVrguNAGk1xz/BufNn//aV4/HMfh+14KgzeuKHUSyc/0sU/up5VS5y/J3u0Evmm8XCIKqtEqmYYDsUgauDFGBarOPG+Hbzx3/wKqjtLjLMBxl6IebGLfCXDE579JDzzxc/G7Locu8meSLmQnTyIYhRN0coaXugM6jPHSzGm4x0k0EojPBWRpyHqIB4IGBjthVibb+B3X/lb+MRbP4kj8w3REic4XlDhjgaj0jVAjXGmqzoncoJxlLBhwYTDHFTYK6fYWdvBC37h2zF60gin4tPIE8ZmrDhwvg0QRTEyPpua4wKOQ+RKuMmWfnTJwHEXn7aSQc7Uy+Z/N656BrgykjK7TRbC9KvFILPSb8a5ddbI+qAUjujJi1Z1D8+XriOnmd39lJPYdS85gJzJPmW9Qo9d4uKjk1HmR7p5DXwxjwtt01cZwj5vUfeDbhfosx0vdP7c/+N7CKjDmJYOOj7CN0PbWgwSzb9KdHk7xrmwwGstzdOQl6C2Y4k7iRDmF8p3UdKM8c3FEFgk2zwgoFeAz9VurfYCepegXJq8uOS1sbTeB9MQmHkYUNKJIDgfQg9YKkDy77V49ioWQ0U4drtEJSrKNw4qZHGBgtrX1M0RhqMWxIUZTVkU22OVNN0DxwXY2R8gl1/1edpSKDDSEedc4UtexcIM/ZzoH8EOPif5oHNKsjMrSFhByE22c02AvqzkwmOX2OML99nmwXLtxj1/od3YJVwdKCkSQ5z/9F4IqCVeaiUzbERChcUhV0jtCsMdHN4hnC5+1XPGoZ5aHDtEMM5166/O36shslsXfTJM11XU4eNuquqW2kVWim70CoA9IF3HzXKHXiHRrXmjlffmY7sw5A/de3axmpNXWcYirs57dPZP5c4yxqckYqlUpRIs6Jmi3YfcfyvJUaV4zY4fJmk8j7lXzmo0jENH/kcHR8c/jlH0+96qd+paG8v9Pu9B8+irbuyaphnRgHO+1bw6n6ef43msyjeokxIFzZFCY/VIGz1dwrUdvUtmrrohOfxA5xqBXruQY05psK0u0AxaFJBW4T5qitMBnhuUl/kIUh8J3eEFUXIJ+dKbOganJdqOvcrHcxNkfs44miAdbYjFtitsUAyAPG5EUkUML2yTVMVVp9PJRE4NPLuNwE6wXkznzjoNKq0R1+JpZbyfa6AOf384Ag+8EXBBnvxsi0/WfttebgeUSQFLkk8NQgLKGdAJ3ORSyAwXUhZBcLa/00CKYIEAB6ZT7PIQhzW3eUonL+IYVNaD0l+cHQhggIIERW717rcO72dtuoLX/n3By/er2yQ6+M7aImWfI5NPcBsBx1smOYExIoqShCmIISwnavu24PhhGPLAWx1XwhU5kEWTNTcv2592cJ11dpkPiK4D7c5y4LjmfuYhIIkFu0F0zZMM2ZAZzLVHCYmS3V/aCVJTW5qPE9yITwxUJmQW4I9/6q345J/dhlGaiCxCWSgAq4ahzhhNwSOCPnJNKJAG1KXew3Ne8BV45PMeh83yBNLrc1SjUowi/dxHPBsgThPE+UBASSGfNhU8mrTNcmmlDbwIf3Pru/BXv/c3GE1XsRKuIKumBo7zihsUviJhUT0QEG0WzTC9bhdPeP7j8YxveYaA08JU5Dj4NOOj504HesmndoUzat8iR5SEyNI5hvEA5bTExnBdGe1zH6M8xvG/P4Vbf+w3kd/Z4GhxFOvNBJhmwpjeDrZwfHgKX/3yr8ejnvVY3Bcex+TYCPPNPcRhJKzxgwozOXCcYFFl4Liy9cn+VvIASweDZIT53hwb9TqGmyO86Qd+GVvv2MX11fXwMnVOz8nINYUOFgAjVZMRs9dMLE59IpsIIx9plko3wFayiSd94xPxjBd9IU6NT2I6mgkrmkopUuTwI9EOdt1+lLhQxj4NQEMFlS9SVkUZguYI0ZcWsrm/2F2xWC7uM581LlWBIJ6TApKTvUsmb+GJ3IpIrtCsk0CmyF5wtJ3xmgMqF6nYrltRDdroSu0kQliArVAM1LxWL9fWsEmtsBjRylLYdtaCLS24c2mD1x5E1KNddiBPf1fl2Fal8P8F7Jb7YMNIrwIHLBVFIb9PYmprA3mWg2B6GIQM+VUDXP4LEXkEP2giqz5GSTKQn/JtW5ptOvJDZE9MW0quQzTi9bnyTZs2rfKIdAnzmmDANQ6RSErCWLAv3kcy+8keZ5dqTv3xSL0TeN9EZkpAHI2nWIDUWdeRABYx5bOt6u5RAnRTUoaXyMJLSWYkpX06gFw6fiQw6T58203nU+pHx1/PD/e1TztAW2Tp4qAeX+HMEKq9zKXTp62Z9P59CZsWaEEM0M1Ukx0TzOMiFiCYz1VSlOLexz1HP5mRDiSUtSyxneM65l3nowadClD2Ne+vhDP/8Bov3QjoaUcMq4vpXWHFyHM2n9zqsWWgfB3iD20hqwPIFapYnPc619yO5pIffZwWyCzPapeeM6K1p7VPd3Nb319Y7pduQK68VxIeBONS7d7iaIkHhMmONSQ/NDWiupHYNaDxeMNuInreBRimAaoZJbBqJKuDd8Wro5fDC/7CO+btXnmDcWmv+DAr1Wp9jG3cUp4ofyjdy/6p53lxQ41m0VFj8KX6XbJBiCOvsnIkoOkdupf21hy+2gN+BBbAca3cMc7sM6cEGFJqhUgoJFWMoDBwPPMx4J9Nc7hNPXqr0rF0OrZL5y7uwHFGfgw+mZqTqcUAiuB4mTTISM8K9Hdq0KDJEIMqtnKKoYYB+ouHzDJI2CdguMC2Y+g94O/V4QUejsDSCPTB8VZ70entuceKaZNKBkhKbzILXNKSkOW+yCOoVK3qWHJxuWIZW5VbdpqLCd1PIX47pvqZId4ZjKql3E1bi5054Flur2RaZ/mdaF526Wn/UcvBrQtr20uwBK7PxJJAlXkoPxNZ5NwMKXvAAiHPULLIWDQ0qRWBx1tQ8HB6Ho7AhY/AAqBhT1ewz6VzDjhffO1+4OvAcVf8VbBaH+86qhyw028jFhPPSlnlftHAE1dsapBz/XdMTwLjmAb4lZf9MsqPphjmNNn0xPjSN1BWWbIsu+l+IRxmFp2iUhji1bEC3/kz3wMca5AfzXA6OA1/pFICEYtwhcqzhXkMr4jQVCHJ7SJtRIMsso6DNARS4I9+6r/jw39+Oyb1hMi5FPeiirTQBmWQyuemni/ji3mcYXt9C8/+wWfiMV/2KMyHU+RBjiLnWlaTUCGqO1kViTKMHMDYh/tAUyH0mYSViMsYK8EKyt0Sk2Qdx9/2D/jFV92KaLqOSX0U3h4lagj0VVgdjpEmKe6NjsO7JcYLX/MizK+bIgum8PMCcRQJK1vk3g/wtR84LnITwrRSzXDKonheiDItcRQbGGwN8NPf/BoEHx3gSL4BryRdF8it60Alo2isqUm97KMiZUF4t0I0iLGX7mEYDkRLvXpIgRe8/ruQPTTDqeEmsjBF6Idi1M55JLIx0hpNwJ7gOGUgAlTWcaOGnAeEB5a0YG3G28rRg3AZOHTAW3seGLjeqYV1IBwBchJCaNjp5waQ5+xKoEa5dlG1oMgZAOXiDRWwkMmW5P/K/iU4Xo9q/cnrYIGWgKIw2p3W6uLYqBRAB7y48+sA0+eMp7R7Tsuc7I+oA3kWJytZ4Cq+rp+Ja4X5Jbsy+DMKQjW1k7KDmd5Rz95jR1qIQTASXW02hJJkE1LnLPfV42AOfOzvPoZ8t8Bsc4ZsL0ORlijzUnT0+Z4nN08Ic3wwGmB1bUW/11dx5LoNrG6sITk20AvnuEc0fQQaAuAhAXve11DiILICyB4nm5/eXPnQ5BwFHOd6ogyVMzrXjp8WXD5beeuMdb3IKGe8weIclbVIQpDPTyNY7h8sxlBuhWxy2Y/7HQu6z7aM1vascEQfA/q6C7QrNE24xd6D9pzonTiL4VKrBW+moT1AkVI5MsDcS63jWIpOBm6JnBDNiKNGDGlFYoiGtNKNo7rxDnWUSG6B6NRGa223o/sXnVH9gPRSrIDD17iSRsDFHAKO21zvNPRNCmmBvd0Vsvg5FRy3zh/bv7s10CswtYUlGx3bv13JxnU3dGeBe5Xl6K57f5HRspjpgKfflXSr9r9Wx2OUeEPPtYakSTYs8yykXJOA55T2I0akxWuOc+lrkXpcxEBaS6ETgTcfjodvi9fG/xZH8Xee5/EUuWa/DhhWXj3jRQNOZHhkfbx4Qbo1fX5T4lgQhygHnrQs5WEp2nbabmluKKIpba1mSm24egbk8JOc/wgYU0UDbgZfDMI0GXKscdF9kuSRSTRNOBME1HvKQgSZh0EVqWGRTCFNyvtBo86sPprWHinG4jbHe2FuVpooJDVKSqqQWUPWEoNTV/IVIwzVUha7H0lSXGtj/72cS3t/OLrEp2tH7arA5z9wh488HIHLPwJ9AM0xG9rZbLmDgGKmPUwgWsBoc2gX5mjKvxM2dy0V2tDcglz7RW72b/Je4nh19vBO82wD3W3I+lyJxa6PpTHdN1HSx7SpEZMyd3y1l9FjgfRfsn/OOXHTVgmqa412xp0i2cB9iMA4GU/Uh+X+RJNgxxh0B+nlnw6HV3CFjUBf7MioC+1J2Z6nPR3MNkrrrQsn3aCL4sx1qOCgFZAFB+1EC9Qsj+Q7k1shS5Znu0lH0OyWDPBgnogp5s+88KcxPjGQbjGqKVR1Bd9LjDlOJFuZxiq9RAC0QhqkmI6meMiTH4z/82VfCRwFskmKNJ4jbVJEPpnqfB/6H1DOIoRXhEAeoSnI7g6kbZaEZHaqUZ+8/Djwc6/4RWT3plgPhkgKgkqJDEEl4DhZ8REqv8E0yrC3sYfvfeOLUT8oRznJ4BGPqytkVSGgjcA7YsapNEYFStWQ1wuBLMswCGKM/BHCeYj8dI71taO4420fw5t+6I240XsQ8p0YTRZhdbiq7PyCoFqJrWobzTEPd67eh1f/1r/B7FiO08V9GPpk2/J6yfo+WPy9DI4rh5TgeI2wJmecoVmILC8xiscY7sUY7Y7wqq96Oa4//SAM90agGAvjKTLH+cVCRRsbeR7KpkQSRfCqAlmdIU4GyIpCTCwzP8VWdBrf8upvxfozj+E2QX3TAAAgAElEQVTEyinsBZTKCTHKBgJ6UjqB+6ewx6VooT0JwlLvMUYPvnQtwuwvjqUXc6GjzPUW9O9a69vikuu8UPFJ66AgaKlyKgQrqUnuUYOGtRWRKuL8tWTqfs4rd0ltMVYIHiXqgca8xAjFuNOKsVw7yjbv1rR2OTpwXOeqkz086Pgtz7zWkHbfMXSP7p6lDciUTSEYrh4DkR/KNwvr6R47Loaytquc6zhAGA2UrT0rUO6V2D21h+N3H8d9dx7HiU+elO/Td21ivjnHarJOV1h4LE7wPsgOo8x9IXc1Kr3EP/shWYcl8iYDhkA8jrEz38WjH/cofM6TPxcPv+WRwHUQbfwimImcWuQN5DXJTiR7nCz+IqmRjxrxOuLfuY6VOe4gWb6Pss9VK777OttK7kKTXocdi04WR4gVnXXpib49i5b8ycKMyPyQTU81STO8NP+XlqDfSgjtI7XS00Nvu/ms46fPkb2/WKyN46wMIpsXTc1536WDTgkFlKITrxaTRWBBQuYymeJm0qzKNDpXNH/r8e+XSO/9Im83yq54fOCy2kGXy+HzHkgjYMxrDX1M8rH1HutY3W1otCQrJP4FIhu7yBTffw/sy1Ua3uC6SC0hkVnZdtDvtxO4A0K7JPTLYRIPpIH9FF3LGfUHxYZcDCZ0C5Oz8mot9jeU1fK4//L89TCsEiFWsPhPH5g4ijcHk/Fv+5PgdTiKj17LBp0Hiyo/Rff+U/E2zW5zfbZbP6/c2v5eFMVN1HRDHCGPA+Shh4wnalAJk0VaGGmoI8wYZwTVsRA+Fdd7+B4PoBHYFxxXET6VVWGCaIZVDEmpvVjECDMFx6OCYDl3uMBoRsrttj1fZHss3bQoprf59Zo2CTaxiEMJlTKpRRO08QuGqqDqLylHiy7QBgv22F5t0CfJhAnqG19CkyN9b5fIKLNUocRrvLHpATQhDy/lQkegbSjsa/rbqSjJjrGzQ2GJko1kxk8ksUnLuGq4Oa1PDROt17VfN7Kl2y9+GerWXnIfhGi7SBwHVlW8Fr5EBiJU+ab9vhZf78xHKAt2iWXrNh8GyUzgFozO9EOIhmm7+hWkancm+czqaSAFQmM+VVGlXVixghklGVCiRXqBhlgXeoMPH3/VjoCop5r8hVtXKnNn/VZt675O1haasj/LSWeIhq6DrmXXMcZdd6CuaWXddC3ALCyppi9ZOQHPc7LCS2o68tq0YBZnEXA38O+/43U4sruOhOc/NWOF2m3UazKDqQtMYFjeizrWFWYEwdcyPONffAGe8FWPRz0G9vwdRONQCt/U+SdIJdISJjFAQCjO1XRpUA+QbqcYBSORgKk3K/hhgHf+9l/jL//TX2A8G2OYjxCUQ2VKB6kyPetA2EfpqMaj/smj8IXf9zSkgz3UBMcnZCYBeVPKOhZDwRYc7xiQwuIVcDhGPs0xrIcYl2MMvBGK+3L8++/+cazfMcFodwVNM0ScDLE73UYUAgMyJ8sU4TDGCX8T+SN8vOQN34ft63gNOZoiQ1Hk8KOo7RO40Il+NnCcQF5oyWTtByirBsN4jGQ7RHyHj1c9/5V48OzhSHYS+MJSpla75gEDFkrE0lMBbILjgddgxIS0ykVmh7lD3XhIqxSZP8PDv/SR+JJXfDlOX7+N2WAq+yl113nWUDuUY1yJ8Slbo1UjlveGX87g+EI/Ox+vMZzt6bajK5jcdTMp8GEhqQPGW4xC56kwhUxIXKRPnGG7xK9qRs12bpFZMR8OyoFQFzrJaCJrro7n+SFcLCtF1iDvwHEWamhCLyadVQsmujKCK3SLJBBZ666Ic0BdwDOA8V6c3A/jdWj7j7a+LEotBowdTHZNimw0/uVeopqwogfOetVpYOuTmzh51ymcvPsk7rrjLpy+9xS2j2+LaWZV1CJ1FNHhhGx9rkfxP9F5SaA9CKhV7qOuKinMiW64M1O13xdNiXk1Q+qnMn7DiRrzzmZz+IMAj//8x+FpX/5UjB+3KixySjgSzGWnBOcAmdx5XKFgAY0knVCLXH6jRrWaNXiohCndSSbofLT/L9cobejaqKMPCrXFdbfr24zuxW7a4eNAcgXKWdFy4yP79HmC45rruCux5y2tj8Vp3MVKWme1bMkBk/RqoU6XkZvIEpcij9MMFp8zNQfWuMvFZSyfcm1pwUoJT/ZTFb5azX4dcfetRs8dH6PrRD7P5Xf4sKtmBLhIFDQVWSEjAal/iCtYtiVY62zQyN+dE3IAOXhcK0Dt63UnR99TwJHu7HlifN3vUl8+k9xgu01Bn9ftHqZldtXckwv8IIZBOTUskeQTCV+LJY28q126nkhfyvnJuNk8Jthtw84uL29AuCoMw7uSleEbMPFv9a7z7rrAK7pqHn5Ng+NN06ziFL5wejL9t9ls+5Y48hAmIQq/RkatyEEk7BjPZ6JDUxyC48oEVh6HJjIHjK2umkl0OT/I2Sbwcny13zX2WWNORmDBdGKB0amv2D1ONUFd5VQNEUxCwQVB4g5fqXwJEwSaxOQhQuqM55HqL0rOIw487VliZ0xvXvU+jRl2ucBSAiO/xjwqUAwrVMMKDV+URlXstbRNsQlMWEXYIpzPJhHUJkhdVbYPjlta1ILzrirswPFDYPwiZ/++m8e5Z3VXN98voeiev/hK/QBDr7vjkFzk57gMT99vlM5n3S8kri3bkWu11y1h5lFM3MnWYzu7sJDomSa64mqcRuaUT5FtWZCOPb7Y7NG2JUvl3uXJFjD2cO3Fz6PXI7qpwuxQkEHB5DYeBbuoBQwQdqFlSi37gh69ykzvGETuXXQPoNyC4iy9OSPAuDLgBee2xFHa4JlU9h5ba8yl19j/ABQoJThuWqQs2BEYJ5uMWqS8ZgKTHcukv//Y6y1dV3+KXch9vr+pebEB0KW6joMsn4XhXmKMde2xLplxE83pq5p+vit0uHPFKirt+WJsUQWW1Pxs0Xza9pH2zLNCbM/4rJUuMOCt/1mlFbRlGxt4YNcgrJcWAOxAPAcCENAOqKtt81tf50xwXNdPD+TTIZF/EHC8BcWVacN3UhleN6hcD0EHL9haV5KEwh18Hg0HI3aGsWhmwFSdNxilQ3i3AT/+op/AdfOjSPIYAUGPinqQCo4LY1k6zDrQkszteZzj7uYevOT/eymSmyOUKyVSb4bhKEHOM34QSIdjFuRifueAqqQMkBQRsFtjNdpAuZMjpEs3N6Ad1RN+86t/Gac/uIVRNkFYDpSBaDIIHCIW3L2jMV7w8m8FHgGkwz1gpB483AL9YYg8zKUTxLBaYXGrlrAxc+scYeDD534y87FWHkG4F+C3fvo38bE/+TCOnTqKcboCLxxhr5whGNKksEQx3cXKcIRZnmFvJcPG02/AN77qG7C5tovdYFsY23EYoqo6EZ0LXUMOHOcsq0ENb4J2qjdOQ03OzYqJZpSgKoDJbIzNt5/ArT/4yzi2dyNG2VhEZPhfSeZt4yGx/dGB434UIM32sBZQL7rGrMoUUA5C7owC5t43uA8v/e2XYf6wFOlqirSaY1AkiBDJY3hNysBVY0POENVsvgTguDsrHCvQAdsGgCzCgL11JL/geUDAleC2tnC3ILnI0lBGwoAWAWlFc0vlVGhmTRmgKc9WKxBZLiUvYxur7nH9XdYdNnqO5nUmY0itdp4xosvM4qsB5Nq5abF7jzXu9h1hjp8tgWsB7d6Jt6BNrUBDG0+016z7RrtnEmwii9mYzW7/lKKAxBChfsoZsHNiB/d94jhOfOIEpiemuO2Dt2Hv+B7SrRRxFSNuSNvmMHtI/Bh+2Rh7WLtW9ay2vV3GXmMAmS0yZ1RW0Q98kTpiiuDGQnZfhhch5ZUKlDVziFpMPUM/Fi+RvXoPwxtG+D+e9RR85nOfCKxA5D6kh8bAcdEaH9SohjXykJ2rzJ2VOc75q3KQFwGOu3BFvB1ClTZlrKGOpK12u+7j7tyiBn4g7HLKFfEieJbVGa/LEd06Q1PXZbB//NzfaVpIf2GeunXDvUHmiHhIWOhmc4ZnTzBk5wsfo4zxtqgjRrW1GKbyucLst7Wk0q661CinwCs4P3Dc1qQLIGV+Xz5wvBvbxShKl91ihmMRYY8k5u7B+UZgy5Ee/+4C6XOcHPcTJJ7r3d1H6b9EG1e0MVv3Kvf/er3fmudQ31C4PxN1+Fq0YoEc0JWhunjHgePatdaR4DR/6MdUi0B30MEWFggu5hKuINQS6Xr3VrvrS+veaXdR+0PXDaHJhd4rt67c/JBSdG9YbKc/44Yu3sIuB+qA/sU7tDD7Fof9jNc+1xy40Ljkwh6vvgui6GdZnIDj9MLi3iC2NozruM84xQteMcFxTkCVxYq5N7Kja1oDRYPBaPjhcD15BSb4Y2/NO31h13R1PPpic8MrdhSaphlgB0+c35m+1q+8J5dB4dMJWiQphH3AViatqkniYu0JukA1ONVq8+VdGlfsDbgEF36uybvvnemBCApuu7ZgC6IkmOLFObkDPQwkgTbATFszqQnayFyRBFmdvKyyr2ZDTAyo9ynMGQLhbF8WYDxUN3VhLzhKqD53IRfQ2EVeQ8lkCsgXlRoQ0bCJ/5zVDfJhjmpM9vgcCAsp5DQlSziBmH1VHnsf1HyDX9QA5NxVCQS7GQuB/1LAYmfe4jG+pM13Ce7pNfUS7YG/HAjuP7O7RMwFCcb96oGhHQOmD+64rM0OxaVk80oFyPtJdItj9S2eFobRfcp+MsvWW8Is1M4rWs1SSiEIEF0S7IoQFpF2e1C/km25FSUirS3Z3lgbLky7z8XcvSXtalCiyy3fuu4qGqUQKKF2bdNgMAiR04ArqpDVZGs1mM2nOLJ6FE1K3dahMsmIsVAJgRvACpCFUxQRE1GCFEwCIxRFCS/i2leWtiRYTaigtwEtXl4L+0jSEcZLDIYtsefn0VZlbY0XLWVnAMrPyM8nwRdpCmoE4yRV9N4o4MffK8uP4Dgln2pUNJgiQGiJoUhRCaCugyctw2Lu5lh3vVSqBXKWcJML3DzaZOKgR7h9toM+/QIvd9+An2eIuNOzU0mGS88xaSmXnLwRf5RZtocoiTAYjJDPK9SUOGgop0HGso+CrNQkxl42F11kP/RRU/6hol61L8FzTMOzMoKfk+5mJmf88MR2VO1BjH2ETUy8K2ykRV+Sfk81aUVOpKlQ15XKBzQBipKPD1AGQNoU8EJPNbnTFEOPOrqqrU9gl3FXyd+Z9nBAaZKl3iXLCy1y02FrZ8/yzbK55H6/CMq5Ie9A8o4A2m8B5qVpRyEHgtdKo152igVNgvB0hOCjHl7zXa/B2mwdgzwhFGtdG0zuKArAQVTwSie9giOFV2NnsosXveFFCG8OUQS0uMwwGg0wz1PUHLeQxvE1pDtDmJoV2EbLGvmABuB5AD8NRHM8rIe6ZmcAtoBfe81/xObHTyPbKrBGSRPPx95sB97Ix+TGCf7lD36LSikcaVAmmTChOQZhMEAdAekoE53ygOrflIEhA5L81XIk9412lATcafSZ1GOMtzaw+/49/PxLfwobe2tYmU4QlWSnhsKUz+OZgMgDxkkN2dce7o1O4At/6Evx+K99PLbXNzHFDoaMfaivKdvVuSLB/Veapt+M8dnVFwkbe5bQkLTGiNrY3O+EtBBilla4ob4B7/vV9+BPXv/HWJ+tY1yPUYl2c/f+BKv0Phq/jetP8gf9F7edKXu2QY4Suys7+NznPwHP+NanYXttC8WgRJHWGCZjlIUCZ2RIi2eDzBuCrdSIl+DwojZBB58sxnXuI3XUh6WjtGP59skVbfB65iLTrdLiYzkzdY+KqJGfU/qHsbCaeDKpN49IHkg9aEYiVy0m9S5IrJ5ZsCGgS3A8poFhpUC5SVJIdwPPP6mI9YfMzmPL4yRmd8EEjzU/QlMzvtd4KjAPEZ6TAjNLV6aerXqAaq4YUzfeS8RAtUmBgPEDgW3ewm3g9D3b2L53G3d/9E5s3beFe++8B6ePb6KYlaKbHTWRdpo2kbKezXBtoWAnNq+2jywB4y4O7MFjLsjvLQb+1uIfCpQ4tr0EBFqIkRylhpwb02yOeuBh2szhr0X44q//YjzquQ9H4ZXSycJYhhTyeT2DN2qQx6V0uvD3JJVxDQjDXDofNF1arkucbSWf7Yztuh/0EQuSc/ZJ9T06w1dXkFf/GPWH4a3jfXbeMepT2smW6HGj8V1bKmnD9u69HcHCmcMKGUL0f63Bgp0ATmOeY8AOul63huqOdxIUjlWrH27xbvbPKncpi52JXcNCCzW6ed7OhoPtnRcbu7gz2e2L+vG6DmctcrhHWSBtYH4nveGKceeKwBwhwL2Oe13ezLN5NnTV9Pt7dTW0tBi43f96MUftutF072mJJraBybxw+Zg0avYBYHvdXvCi3QM2MjRVZEeOTDL+s55FMr/l79qRInUxYRRox4CTcqLEkEjCGW5hq2SfAsRi7N0B013n6cL54ea37LmGmNm2yrmvikKM4SpkUSH7jrWU6D66QL5xrHLFYeqWzKHnqpOLdV0V8lNUHfQ9dN/u3Y/WdFoBdxbupNtJciJ3dndSLX2SiSNO6LqzNb9ESrkU6+KCX8N1PfPybX/qrlU/vYuJ9afdLSGmaDcRO3sor5LMIkRZJJ4zVVD/XXRT/CJs4G89z1Mzmmvo6/LtjJd5kJvt5jOqreIlxeniGz0EE2G1JUzeS5RRiZJGhmaCI8A4N5IWKneB75maaZf5Y11Tb7+w6fU+eRso7DMa/e5GBce1ZY0HjDr+KrjgjCsZGQrg4/hQFlAJCwYNCjGZI/FbNxnuzRUDZ9uNqAlKpkdcRRhgICBbM6sFaAsEKbD8xpX9NC7VL+tabT+GM8VhflDT5KmWgNQj+2BcIw1myLCHMGZ6ClQ5TXOYhgcKjrOlUiQQtB1drLNaSQYnD9Tnheo7LwZernKs/DA9iK/ZbeTi1luPpdU7vheCg8U36Fft7RktMG737Yy/u1dwRZ7lZLoLBC7uw3zqn60AbBtXGTPHgoFlJm0bahtsIZNawV6Z47IPuN85CRVKHyk4TskE0a0kI9RaWxXocIFqDxjvq5y4oFBqZwp4iU6mGaYQIPGDQApdLcubxm2Jh7opUJYFxqtHUB+fYXY8xfv/6kP4n3/2v1DPlZ35iMfejIc96aF47D/+DOSjDN7YQ1blSNMcyShBRnBSDjBLDiu29FMHnGwuD3EdGfBowR5/tIkh9yeCFj5CtsSX/PyaUHYBuO4QjM85lAp2632R7UsCb6U5MRguqAkbE8hTgymyXZW9p98cHQeOi8SZkMFcwOxYxtacbC990Jl3pYPjwqqulZFWGNigsa+vjDJJhCqEEW9IhbzIURYVgiBBnEzknIuaBtlsBj+IAC9AJCzZBsWswEo8wZAo9xw4efsJfOTdH8bx2+9DsVtg79QeTh0/hWiQSGEkiALEowST9QnWr9/AxqcdwWhjhMd/zuPhjz3Q4JwAaeFnIgdCwDxJIuzt7JKlgqyuSKJEOBogLVMURYaV0QhNmtNPWrX+lX8ochX8vDpPzAvmoJPgIp4n6S4nPZMsX709eG0c15jF8IrA1gDjvQny/zXHz7305zDanmBSjRFx7y9L0SQnXdMHtcf5aVS7l+0psrf4Hk4PtvDd//F70ByrgcRDXuWIQl9YhU0QoKZWsMiqVRq7BiplIKlP6WGARPYxTD0ByZn4EIiUdCcFPvHOO/A3f/Eu3H3bXVIIe/BDHoTPfupn46GfdxMwAjABMFKWV0EzQDEnDqUgU6yRTDJH4KVyDXMWvmgVWKwgLBlLzeCFhTDbB9UE69Pr8J9e/Vbc8Za/x3h7gGE9RlDHEqNQkiGL6AHViGkp36UKgVOrW/jmN34LglsC7K5sIfVniLnhkDXrE9w7WPzhIGyJ/QiOBzX2Ego0ExxnMYigGU0RB/C8IVZ2x3jLj/4XfOQtf48jWEcwV3NMp7W+eBXL17QAH8is495fRT42w1OIHpnjxW/8PszXTmMz2MZ4bR3zeY4QkcyDMshkjtEsVIop1UADRNeWfhHz+HI9lYVXnqsEgf2SWvn8u3ZoiUxRm8cbTVYu1MUr3XnLkZWx9DV3IyhOI1vRIo8a9d1xHhcGmsja9TxEUYSqormhSVdIy7kC6QTC64rmmPyzaoCzflsVLMgFUtyTQiSZ87pkRdaE96zczTE/PcOJO09g575d3PPxe3DPbfdi895NzLZTVFktppFHojUpdDcFY/IAkUe4SwFxp4/dZ4cqWOrEOQSaM5kMR1RxeaqLKN08XIb4JOtpwXGuPWf2KPuq5LwehgHPgxJRGEtnRxP4KMIKm9kOxjeN8U0v/0aMHj1CllXwYg/xkIXWQuYr13y96qOQbhQF8sViRcBxLepeTnKZRlAsIjtwUWMNYeBbDKSqlJ2Jq8SbDmDrZUetFr4BvMqVEt0aAb+FFKHKXCpDZV1LLBRfq923nJn7g+O9Ni8B8Lr4T+bsgk9NP2G2neyMTpB+IbvLc10Rev/Wf1fwuJ/dUXIMBz66/MriYcvi3Np1JsBtzmxosJ737ks7BNxz+MqMgWU/ssJIK2no5iF5csL21phbOgqsiCA/hW/SAebadeBAdHo+qKzTQb7a+6cvZ4VfzaE0L9KuKvm1LDFLCuzNSI5hdxql4WRnN9BcflrepB0RrquXkZFp9FvRWYVo+2erdaRYZ4qldB1AbliF9VuoLJ7gO908I5nQrmjhXmiu6UyFHWjff/eDjOLlfA5zByNyMmorfQzmCcKUOW/MsZ6HR4NfCdaD13jr3j9cziu9HO99sKjyclzpJXzPZrc5Vu+U37x7eu+7wjJ8iMeWg6RBldQoLLkg04kcGHXZVqawbCxGgHDFubN15F3Cyz18qbOMwMWC44q8qECOkyxQsEwatVvZFNUP7w4UbZFUIF34XiQcCAvbdN643wR60FUlndppRuQjyAPQ/9fLPGGRk1kizggiS27CvXq2KuLHA4JYkZLK5D2EGSoSKTXSZoboaIB5MBewCTG1LgtURYGY6XYYoyz4HGpXSgenmmQJK0Tb0Tum8QWA41qebKuUh+D4wZfo/i29SwWKNlbUwMMFIi0jpseW1hvTVYsX8cOuC6K94iu4sLE/OO60Fl2g3A5Zl1r3un20WNS13mqiTvkUGjgpe1xZuE6/U9eqMhyMLe7c3vt5KNcqgTuuVae/La2zji1NwKNElZTC7I5Dmmx5yEsCX2Sc+hhUCaK9RFief/CTv4f3/8UHEGcDJM0AEWLRws1RIx9muOGzjuJ5/+rrEH1agF1/F+PrhthMTwtQwNydQbCwvmvuESXyiNTzBnE1ELZe99WZlulnVkBcQHH7lj2LySNb9wTCcHqXi/Itwv6TZFjnnTDTCIiz20Z+UgJKDecYn/O6JFBl4U7aiI3l19MDdanHWVvhL3ApXmwAtAw5XODbX9TDdf4ryFFLQO9aTHXgpfDpNyiyAsNwIIlWVZZoQg+pVwoIHfgVkiDEJBwh38oxLAZY8Y8A0wj3/O0n8fb/8k7c8+H7sP3JXYz9MSbREOU8R53nCMMAJc8RguNkVJoMj5Q4qIMdVphhhhsfcyMe/eTH4DM+/zNw7FHH0ExqzLw5yihHM+BdL4luCfBEJnAQ+kIQLWr2/OsdV8Zkd0Z1bC3bEy9qJA/2ZE10tUhOMJosQDE6avwWHEcVYz1fxYn/fgK/+qO/isHWCCv1BAPfR1lkJjvBsWMbCNemepUoOM4/e9gZbeO7f+t7UI4rhOMAeVkY65zgcGAdbAqMU9KADHICg9xr2JGSBLEU5xl70JSTWsZRHSmwT4DcDaGgjFac57hzW3DfAu50a5NnD+UH8wHXcomAQFhcYsb3JhOJMi3sivEzNNKVA4yyFUS3TfDj/9e/w7FTKxjtJiIT4TUEuAMx6S0ivaCkiCX+oqxMdVONF/zGt2N7uIdsNUMepPBE6oHAgas+Xvg91JNSO/vYUUPm+DzKZe0MChYElW0XNDESrGC4M8DPPO/nEHzCw0o5YpsDfA6QgRMXcgUCHRAwiAOcrk9id3wvvvWV34Qb/smnY2u4i3gyxN50hthPBA4oQjLHC4Q19ZsDsPFVHGkEHN/fc+JCrudyPFZi6MqXuUiGdZj78FOasfLfXTuKO8cFrTUwwzqhJCcbiESLrBVhPrNg1Ok2+7FqOitAqZQXZ4ZIMss8LUSLO4wDBBFldApkRSoFqiDwEYcU1lZNb66NyI8RB4ncvCD1MJoOdM1sAyc+dgIffc/HcfsHPoHTn9iUbowmaxATWPdZRBMBHvkMNL+M2G+xkwtLnNrjapNpHTnSHOr8B7oifAuOiyQZ56gxRy26cfFfB7j29OP70gSCpFlxT1aBgkQO7hOQ2Kw7OdqRnyCv2QFClniEeTXHKZzA4579WDz7O5+jDM2hEvuliIZcc+mJJ9IqvCdKNlMWkBhy2vq7fPCS7gCOja/jvcQwN5C8TwTqAE6XrFnu52JzK150XYJazOiY0YvSFJdj7T0Q3rOLvXpRlM1RDSo11l7k/nZAt9u/uwPMANgWlOmzz5deqy1w3A+56yzBoQOo+W6UFXHv72KSFiPiumo9e5ZjWUvxJUHriGZO71vxBRaANZ4QQopuYAuENOm2bEeJTGnL6V3MLEeDzemFoo4G7Rcb/3aeRQxDFwsF/UKeu5Xu33T+aeeXu8WUL3YSDdKRIwVP+raZf4TLnazA5BIP9yl03JfWojs+2glvc81y6u6K3Z/crLKRcT/kaf3uYzdnl+RfHggL6wKuQdjyIk/Fs4Q+F9Qf99WfpmJsV92+cnT0E/44+k1v1Tt5AS99xT/0YtfGFTcATdNMcApflG6lr0x357cEZPxGvmi3MnHPafAirU5qKsailvplaHXNbXxCiOt1KFxxA3EVXPBBwHEHLPLjiwaeaeEpwGs6uwY2ylkkgbUL37Q3ToMjMs2ByGn2mqYc2dzUvuNPMeNiYgqacO46iNAAACAASURBVAZo9tScK2A/MuXAiU/lQL1bYntzC7u7e0jTTKq/ZLTwe31jA5PVCbw1kJbizhRtY0+A+WAbWG9QRg3IyZOWdLbE5xXyNBcmoLbdq74qD5oOHLdj1Q7JRT3xxQnSQhBtu5uFLFcwuPpAWAJO5mZ5tJfb+2WuLxzQbip0QLirdrs9yr2mBiZ95LZ7t8vJ3LnY8XfguMVZXeHSwNr+67fjaaZQWjRoRNqDCySkzISwxGOVjiA1la3ebQCpo0vA1rEvOuMaG15rIVQGtBllkiHOpN6CPQJWyuRWrfB6UKBoCgFgNGlkwB2gnlbYqI8g2gzxlte+FX/31r/DRrOBMA/phKct3j7Zjj7mcYrt5BSOPnYDX/2if4Zjn3kE9WqFHX8LM39XQLKojlXmgUA4PTXiVIA4n5/V2K9dkUs/oyTrFqQLsE6QXDuk1eiL4LgVDmTOuYCzNffp0ffN/KwiGC6mUwrg1dSJpb4m91nKb/SSdBc1t63MXTzaskUuJzh9sfP3UjzflIcFYBQGkEll1aLprv4oTLBoyNiUDWpqmFIOg9JbjHuKEkO2/889rBQjeJsBPvin78N7/+v7cPu778L18YNQbgNNGmDoD9RssM4p1oU4DpFXKXyfTE8rGIvjD/Ei7RSYYopqVGHL30I+KfDIz3sEnvzMp+DhT3g4vCMepskudsodDOIEw8EAWZapUWsUIK8IOFN+woFDTtqs45JdPmhcYRUR6RVQRDsgFBwnc5wM7RBenWAtW8FHfvcj+MOf+kMMt8aYlGMklIYpc5VeE1mVWJnjlEASYFyZ42Vdob6hwbf/8rehWq3hJ77IqpnKmu5FVnjifkLJIjHmZncG5QGNA8ViG2VCkjJCzCJX3qBKa9RVgMCPZa2LfnelbDUm/b0OZevYdrrSOuqcbinnWNjAC3NUUYlsQJNOJvAMVhr4BHXrQvaYtfQI3v0f3o8/ef2f4obpOoYp/RpUVkZ5pSwYKjhNnwdKyOyNpnjYF96Mr3j1c3DK20KzQn3NHGWZIY5CTa4PGINIxCc4ld4DgtV5wI7RRmVx6kb00pvURzwbYXx8gld+zY/hwdWNwG6JhPdMsImDMe8kLgs8ZOEM2XATn/bk6/G1r/2X2Iq2UMXsROBWTS106r9zrpSIBBxnV9FACmJXOjjO8yhiUi7Sgx54+/3CExY59zSRb+I6I/AixSKiRSXqhqQWBrUsrlA6UAMkKa5aV5Y7U8DOmYidTY10J1AGUc6ZBhgkE2GCU1+bUk9e0CCM+N4qsVGmBYbRUNYyY/UEOmenp+fY/uQWbvvrj+GeD92DT3zkkyi2SwzKEaI8QZTFcuaOohGaqpE9s2hylJ5+E0BmLMHfy6Zh2uACfhkoznWo3WTL4LjGLtLx0MRtbqoj0MWD/JvxLFvguwPwXMGRe08nj6BMdAcTq5Eqi1byuj4wr+cSP0TDALvhNk6NT+JHXv9ylV5iTFMUCBJq3CorNBd5lULms3az2OcxOZdl5uelOBMv6DVMu7+HpxpoqOOo5sh9WY6uk60D1jQK6YOjTh7OecYsMv6NPW7Q/AVd7zXw4BYOb8Hx5Q/dwVYqgdonDbk/u+6K5dJLH2xXqbYOfF/Mqc411J2Jd/dePUUmI5C59+uTz1yhn2etdcAIAV4JOHIm8oym3E/BrjmTNJT2TD2vRLufn5v5ixS6JMlzqZAxyPXfWia6Jj2X7Kt7KfuThftKHDK5WmvK6HCXThpFSKeWY2kLsNPe5z5OQJxeHoXs2+w0ZHFe/mz5k9DLTULF5bfCLLf8yzWc9okUfWlSyXFMEcJ9li6y1GHqP97+xWRJHMjen0+XbGg/dS9kRVYxy6buOIElxjRFI91MTV5hsjJ6d7w2/H9wDH/peR4da66Jr2sKHG+aJsI2npieyl5VTssvbprG90neJdMgYtBdSWVcwAwxSKIekyY7rn1fq8HOyMklSNfEXHnAfcj9wPFukzv35UpbOQEfactUdokYbIoRngKKTjbEGVX0nO0EXJemXsqoUJeQQa0fSKsv2T2UIsDcw4jCe7tAekeKu977Sdz+njtw38eOY29zF/P5VJNIAgw0yCFBhRW7miwtk0PwPcSDCMPxEJO1CW648QY89GE3Ye2hK9h46lFgtUaZFEijTGSBco9srRpRHKMstWVI1PNlwBxz3JnX6HnZjqWdKPvVlDuA3Mb2Eh60575bV+Mj+i2D/UpbzyjFpTv9Snev69CNigPEl39q6Li8UlwQpbrzlzRi+hTepn5Yosyc7pMs4yUO5Hb7uE56DbQYiEY0yM1ixNQDLrStmZuAdoPwEOikleS1RF+8A0VUY9KCOz5WzJXYVtuo4ZJUWU2j1NprRW/SV4CsySh34iEY0WSuRjNrcKy6Dm//pXfi7W9+OybbY6zVKyizDMMwEROvoiqEAVyPgO1qC7N4imajwVd8y7Nxy5c9DvONGfbG26CXBltHgjLCoB7B9wJhIioz92xFE5OP4TUZ8Cka5ESQrFoord+ZMcp536nFbkZXCnrZ+NgGI+xwytcw0A0qlVRhx5awXIGaYJ61d7dam23hbjmF6ZDya3kbUgmbxSIFAVYpvHD+1Q2G8QhN5iFPC0RRKHNyVuzJGTVpNhDNEwxmId7xB3+OP/+N/4HBToJkN8GkXhPt45VgHWEQIysK0ZyOEhZY6H2Roalz09rVZI6iApTcCHgGhj6yOsOsmQlLvB7W2K13MMcMNz3qoXj0Ux6Dp3z904GjQO7vYY4pvGEj85IdT8lggrJiwYjTVxnVnrEPWZjWFOzyyUKdAY4LeGfM8YpSHaozPJmu4G/f9C782a1/hpW9NQxSCp2QVcbiBX8SoIrks4g2O6XajDleVjXWHr2Gr/2JrwWu17ylqkrEARnL0rJm4LyZuXENCUBOA1wyjgkIasGebgMDj/rxRLVLNFmFGAPZ/0SHlPqjCI0vqqCZED378IGK80p3B5NTEW8RdZECZVwgHxAkr+FR7iSokLO7jWD7PMCR/Eb84nf8EvL35xhtJxjQIFS2H46BMkm1oKMM1nk8x9baJr72h78OD33mw7CV7EhyTHZw5WUg00yY+wcEx1WWyN4fZOArA1n0lqV9mnGZJ2fCyu46bv+TO/FbP/p7OFZeB8xzDCiFdRHgOC87I/twCEyLE8huSPHiN70Me8dmKMYp/IGPplSdfZqgeiiRsNBAo1DEwr69kmVVJEauYpOsVO8AxtQeddwp4VUG8HgWkx3dylpqNMuVoC3uTnvQAV0O1FBmft6UQiJpKJkZ5rIPUf6nIkBNPfPcwzAZie9HWZTCEHfSJmTPDWoWBH1hhm995DQ+/t5/wG0f+Djuvu1u7J6YYiVeR7ZXCJgwCgZIvBjIGvFSSESShBNEWdgeK07SScaiV6mFr0olXOTbOtJUG11JOGTv9b/aSG4fsoN07izFen2N4uU4T4pq5qsl0lXE2ow9zT+p84d6FqVNpvr7YYOsmMHzK8zCKaZre/jOV7wY48esab4S1vAS7SbjPjYfVsiTAsVAZZc4c3W9s3jGK3atKp/CwLH3Vj59nFqdZxNbaAOKZVZxP+J0SON+0UcH1vYiUutHXt5PrykI5oyb3CcH9eVEVL7G8JUW0e06E/s8CcfdtZJtD7zstNs1D3JfrqzR6Ux3F6ZJRHdXFu+PXJOtPVlvIjPmIpHuVZwUShRGSrAxUJvntcwy93cT37fUXGNrAcj1J8HK1m+gn6q5pP1c06c/PS9xoGyXqFZrva92a+rnY/ssb9lvSBJcuJn8i0md9CUoLXcSWSInucI8K/Kk2CngOKVUJAbTXEwKU+IJYbJGrTmuDqTEzSQw9GVlluQ4+0z3ZUkr3S2uZFlZ+hFp/huUPCQDLT5wkleVGHSGMx9RExbJKHlbcDR+BY7gPZ7HHsSr/+tcS+uqGoFm3jysPFF+92xr/k0osBEOQtRkugQ0BbBWYHM3d9pPKqnSadgrOG4yG5aYHjQ4v6oG9zJ8mLNN3vM9A0QWxTSHGSQK80vAcUfS1Squk1DptP/MhKdpJPFD1QiYRvMcskWkJWVKgAt495+/Gx9/7224/b13oN5ssFKtYkizqiJG7EWoykwYK6pzaAYa7E5kmyX1RFGjKAsxMROTNAHua0na6nGFE8G9uPnzbsYtT38Cbv6sR2DloSvIIgISU/hDghO5O28tyXXmsnpAuGJAJw/U12RbCuT2gVHPd6wvw/S4At6SM9jpm7nLNQ3JFpCwdOd8wXFrHW7ncKuLt/999QT9uDLvYrf+XdBsquFnbAxdW6Ez+uqzkUXjNI0QFbGwvshabKXsBHvRjguBUSwibHUqXeBlbd3CRCeQR+kQaS0xrXErvknZTZiw/K5QVCmSMEFQJMiLGv4oQF1UUlDz7vbx+hf9PII7Aoz3hohKDyujIeqsEJSMgfMcqZgfsg5Hbc89zDAdTfEVL342nvj1n4Wt5Djmg7kA7wTI42qI0I+FkUEmm0eMTaRMloskvECmxyonptqcWhDgTz6cjBYQHKf8DJNrXhP/zGBLGMSaJNvGY59ZWSF8gpioRSqxIiTBsEJBRrl1brV67sJ+cZ0qLnE5BMc1x9JEikxXzm1lEauhuLILVS83Tysk0RBREKFIM1HLmNQThLMBbv/re/BrP/tmlPdmWJ2PMZwlOBodQTkvMQ5XkJa5GAfS6JUsTEqpkNXt9MwFQiEYbqwnMtU5n1RvshZ5AnYK0JyzpDkjKBHRoJrU2Brv4Ev+xZfgKc/5R8CRGrs4DQz5OQLMqLkcjcyEkwkOWxYKAVTUUNrtn5cnjN0fHNf7QXY2wXGviUVz/J23/hXe8eZ3YG16BMM0QUjjPvkkvEtcJwTHWTwqRT5DmePac3zjk27Es/71lwOfBtCLm8A0JUW0gu/Wge7j9E6QvYBdkNT/pgcgAXMuUDHqLNU/tW7EZNWfsyuAjHEPoUcWaqRtZlKU8kHJQSGNipGWggHU4ZYkn/PBfEwYO5VRgSKhSSj1JzyweyHzU5X02QqwcmoDr33eazG5b4JxPpJCW4trt52Zltj6JXaHO9i6fhM/fOsPY/bpKfJhiSKrtOMhKZBTFshT8OEgX31wvBQGmjNjtz2Ks7cqcMQ7imRrgj/40T/A3W87gWgrwiiiTl1psjrLZ/giFHNmFKV7mMDw1HCuM/h+js3haXzeC5+Gp33H07DlbQrjVljRhMUDrvQSScV/I9mY4Liyqa9UzWLR2GZSzukk874U5rYUfKhXTw3yPNZuLtHvd2eQwKtWFLL5L+z/3jzQrUEUCyndJXNTuhsKeFRCoS5/VSMWGTVly9HEehiMFVXfrDE/McP73vF+3P7+23HnB+9EvV1i3IwRlXwOiVOhdV5EWmMmUKZiN2iqSopYoc89gGuHxBcnZBhIfE+vEXaBLOBXcuzqGPCnSIvJdKLMmBnNuY/sDLAXVPcdVKjPc8xziV2W4jzJJQItMtAbRIyPncyIgeM5KiThCGlFAbcKUcS5zk2oRBrOsTvZw1e+8J/hpic/XP0JKIVfSeuQ7AFZUiId5shHKao4t+fyQ8a6bsUQ8fLIAjmIVIAyKYy1pYcFIFWGu989vLDZnBk7y6tYh6KLq7r30v5ktydIUfIgm9fV8ByLX3R4HSjtZP36u6aDvU2Opte9vEyZ0O6RvhL4maPb1T76K6K7Jxrn203vw+T2b+0uI92V7DJRmJSSJtpVrlfVkiqly1IlBq32qgA842OJEbjqFO1uu7dbQqbG3wudDcv3/gKOvzbOl+csIcEXOKccON5G4lLg677kru0zud0yEwL4sh9q/zbYYMnrtKaTdtpZnFvFGu+2PspSK2W+Zjid5F3GJjeMR3IwYUyT7NOB47puex/AeTu4jmAnm7SwO1zB4Lh4H9TiP+PAcZG8FHJGhagIMJhS1rNBFIRbycb4P2AdP4k13ObxiVf51wUsqyt7JJrt5ki9V//zdDt7SZWWNzPo9wdAyYPbZwhggLeLscyEozNS0JWzAI63m/o1M4wPuEmwPPIXFGjYptcdw309M3N5toOS76OHngMTFTiqCw9DjDAifXPHw/T2HfzDuz6GD/zl+3HnBz4hzBNQY5ziKuFAktAs5eYTYBQP4OXUvGTyGbTBL1nozpWZwbGADNzIqGNOUJxhas2WabYcFcC4wTb2EN+Q4POe+bnyPXhwgnkwEyYXW3IdWCIwF1tYmQBIG3OhDMO2Sq+B+DJzvJ+AdsGFrokLGvMH3Ay6nBdkGVx7CQ6g7EZ0OaHpZD76waPehS5YWWZYyOxtdXvb9ruF+Xw5x+Hg7y3uABbVaBB15mtpcKmgLtew05UULXGCu0zCy1C/pb3MgkYmLgKOK/NS9wAtmJmzrQC8Igsi5kt8vOqdSjdSSMRYpZlULqQzktRrpfxSLgzesbeGPC3F1Ipa56vVKt7zB+/FH/7YW7C2vYqj4TqSJsA02wZFEI5G16HIVNuTrIkwSJCXpexOu+Eedo/s4su/+1l4+LNvwnR9inJQo2QhhIk9TXp5TU0JnyxuAxpcC7YbQZ01zuxH56owWixRFzYfg/uSsjSesEDCwkMgOu2hIvb2tZhrqP4otdYFHA8bNAxyaZ5GY0EyQy2oddF2v3tLE4VLBY7v04ZxvtOx/VDn+4RL+zgm8+S4MsmIa9VzFWM6IR3p3UNRiYZ9UdcYJGMUsxrB1MPRZAO4B/iLX30H3vVHf4tqs8BKM8JqNcKKP8Z0vou1aBV7xZ4AOTRNIkhe1jX8IERILV4yhwmCs8uJDEfxZ9H1xXbhXl+FFXc9hJTCaCoUpepj5+MC95X34jFf8Bl41jd9GVY/cwM71UlkUYFkZYQ0I3ikzf5qRKdzhwUWXY8HZw5f/N1QAFkTcoHhROrCFStkDVQh1rJ1vOtNf4M//YW3YWN2FCvFBEHJO0e4U0oYIu69CI6riZ2C45+OZ73iy4G1noqLpSZyjJs8iGaiWnxjMa8InMQK1xYLJpTayVXz2CehNsIoi+DP1NE1JJJexSr5xpeSWFjXKfcxiZnJ8GZti501NsX4/srup955JhrkDSWTIjW5j5oYo90hTv/VafzG9/061nc2EFUxaFbOTgRdzsaclQirFiBza3wayedH+I7XvRCnR5viC+SlocRA1YjFvUx9FC4GHJcijgcHjrPIxDOFYyXjX9TSwRN+fIiffsFPYXjvOvw9H+M4EG8XBTY6yUW9G25v6vao/mntjig5AwIfeZVhLRngvuY+pI+t/3/23gTesrOqEl9nPufe+4aqV0MmIAnzDCLOjQbxp7YgLUG0gUZFEQSUv8ogf7odW1tlcGgUaJQWFQUc0KZRBBmMgggJhACZY8KQoaY333vmc/q39v6+c857VZVUvUpSqZDH7/Eq793h3O98w95rr70WfvptP43prik2/al2FRlGO0spPuVEaKjsBKYbcNDSf+oT+m59BWGO0yiWXdwslHJ+sotIwFoXfuUjzAJh7gd5AL8KqaiyjWl4rEu2tFNFo7TboEHJeRw4ItkkXaJFhRHoxRCIZMr0S2vCDL/2U9fglqu+gvRQil3hEurNGk7pIvET0ekvi1KA68hTvfHQpaFsLV0yPOcpyyLd6U0leyP9GFiglA4sOTOtbAlnAosfsnN05nXag6oFKQW3LUfRSDoOPjLzVp1xOte6mWfQNHtE2TN+OD9Vn9cA+lLsNoxVfXc1P+YV+r6wNYsyFzkblYJoUMcVDgdH8KyX/SDOf9KFatzLOl9RSpzBsS7DBvmoQD6ZoQpzNA43FzJpKYdzemWBZPtSXaZBnKI51jBu6cfQjt5wBfc3Ywu82hXzt+4FPTDO57GL4MzWLD6lDcPKcNv5bTxFFGDeskuas9/IJnVAqZID7Pqw1yIjOgjrejBbx3zr13CP1r9pOtF3Tsp/GpTXSirq44gAmOKXzZ9Z9Dafg6boLc17baepAOT6dzXOZM4faZH5OFl0r2/ek0OkzMWLlAL7NkmvrnCgeRE70qXLywDMslNsQax3DpDryFuDyuG42tccBAjDcR8M+fD06nychndpG7gwvHSJddkFRIRdzkjTnSvSK9qtS8k3YZFLPqFyyfI32Tdt969BO+Qe6hvqp+mBeLu3WsKOLb/sNPY4pXVzZz1Zzgju8r4UqTm2hShnULqsQdgECDdD6fpjAdmPgi95i8Fr3QW886tBf/yrAtVt2zbEKr4pP1i8Lt/Mn0BGrhs52mYXF8K4kxYMjUi0bcZoQFkjTrtYutZ5YWzoBnkfc/zOWq137+tYEx/JA61hHZMd65BtNg9uksLAY8DO75qSKZ4G63WAL195Cz73L5/FDZdej42bNhBseJhUBMwT0U+M/FjA7pxmaK4DLwyk1bmiUZoTKnnCtFT2B7Ex9GyVfaL6o9RabOD6nsxRaQslZuA5yFAg93JM/RncJQdP+M7H48nPvghYqjGLpsiDTBIQNWBgkqsHcm2c5LcGGFuroV3IYAKWPmwZGsvcvffu3vBuXVuWOYj743gI2PVJzzBo6wJBEzzYQ1tb3I4Gx+1z+/ts2QgWkD9TR1THqksOt51oCozbDpAhSO4goN72VE1IFDxXKRDL0pB2WyOjZYNXLU7oayoAxTZtNSVkIEbJkA4cN6B4f2ZsCd8l4PdCF8W0wEK4GxWlDqgPXgUYTyf441/8Yyz/0yrGa2NEZG47DbJmE5NoDG8aYIIJyOllghy6MbKmRIREdHMPeAeRnjXDK9/+s5jtm6KYL5GzQ4qsLu4BPsNAtoTq/bezzJDTtkwGbRE1muJGdknTdF4T90ADjBcQUzXqt9NQjcy61qB3NsHsC4w04VTAgn4fCo6rIbYCJZSc6UPnvrBhWT33geMdOA5qylOLmEmAgn0EaQV8qBtEUYRpliJwEoRZjMV2gva6Eu9+/btx2+UrGBUTuHkjnQljJxJTOhp05uxqclWWo5QCUW8cxeKQChxwJjBmEqxcdzICDoY5TvkP3nPLYPRc1dHlVfIc26TkyqjCSruM4NwA3/z934hvvPibgX0Obl2/Gf5cqG27nTaoYQGRaeqwsLxzcPTUdzyb/Ikgiil+6bjTi4TFt7pysdQs4fI/uxzv+92/w+7pHizU8/CN1yhXr3LIDThOxricyQqOs1C+51F78fTXfh/KoEAwMlIk9Csh9q44Vt/daPBxUX0XU1Q1RqXZfBNRh1xBSMoXMaecOCN4mQcv9+AXAdw8UNanAcdFFopFeFfNP9lBQh1UYfbyMSotrkIXIt1N871SwHHKOTVjB3XaYlexC5e+/ZP4+O/+C+7n3Q9r6Tom4ZyYi8qXYPr6P+5nuZ9hee4wHvnDD8eTX3QRVpM1uiEiqeZRFAXyJBVGMAtzO01QdQbr3ld6et8iynm0qpfM+RW1PubXJkg/PsNbfvYPsDg9C0k9guPk8AheUqJ8Czg+TKiHKIClG/S0A7lVTqvxXV0hizLctnAQz/7l5+C87zgPy/4KpAGH81zWnrLHtciqjHKbtJ/6XL77X0G6cqXIosx47vnsK2FsSyA5agOEuY9AvgN4ZQCHhmGWs2aXn+wPgmDZf/Q/yUIXXX8D2NAYk/tUBTRZi6s/8wVc/7nrcO0V12LzwCbiKkFSxYgosVaFCGpaX0cyL7mvcbVqysduiwa+FEfMvicGcq0UfAS0pooKuz/ZbVHTv8oTOTT+T3l3fKbqvPKOCulFnqkmq8Jm7tAgY1C9zUSvh163klR6kHz7fe1gHVUkN+xMGUrLgDWAIx8ZRBE2sykCVztZa7bbEzxuW2RBhtXxGp7/X38Uux63S421vRo+wT7Dxq/iFuW4RD6ZSldJ7RaaNbMQJ5Itp89QVrZOw/C2o9SNmx33ocngccgXwxEeSoPIHd4G7g3DU13/X93guM5ak2FuAaStgLWJTGXPU5KYdDp2/BVjRN6R1wxz23baDvy0hjmQXX1yhnVA/IASdixwfLC9yLokTmANMg18pJ2lihcIZmAIJZqD2DXWk/DYuqlTrZ8olt1twW2zu+heb+aljlpvHit/NJOrJ+EoEG4lCrsC2YB5r3H5tkl6gkeB+mcqIWJIuOpo3CI7YxNU85gBCU+GU7rh+zfsmPN2SMyYb4HezX4vQy08JWWCWxKhgN/GzNOPPUO0UWPPHig38rlb3rs/Uftfbx2b7X3dJzhU98yHGbKWOEu0gUr6ChlCTaMpCxzmEcIyhpsylm3gT/zLoj3By7EHn3Ich5rA99qvez043tLKfAMPqQ7Uv5qvF09D24Y+dV3Z7uWm0m5H9l8fWmjEZQEVYYYMqphymFtt2fvA8TN6YYgud+xiujlF7I0QuTHSaQ4/CBGOQ2xk66KxxxkhhmYbLUJqscYT4MvAZR+4HJf87SVo1ls0qVbaopqGfmSiOhI4S2V3EODqgNlgQLgD26gwxxrSIdhpwCw5Xx3U8tpkggfqdE8SWFAiTabYGK/hqS/6Ljziex+DKtlQeYUYmLE116OZFaENlR3mvxVsd4QpSC3Eqqrg+8r+3ArkWg+Q+8DxU1kANiGxNIce4B04bps3GISQfeudLeKZAEfzQxvB6SwTFpLRs7SBFdkE/LJ6l6fyGe4Rz93GlrDXpHIg6vLObyanVEQmc6shczP3EKeJJMCyTE1Lpl2jqnvYH5FSDjVmX/wpEgix/hRtO8NYsBJdqntnTBH1Tpi1bwAdh9glJRJ8MQBlIBlR6mutxq5iD17//NcjvjbBeHMEn0a7EbBWLaPJW+zBfgRthAIlMmS6ZqUV28FoMsGB9AA259fxqGc8HE/9qaei2JViuV6GG3m9rjclQo2h17EC52HAviVQMImDsnnJEKeMhPo3BGSgFh4pCKIZS2aMBvUKgGlCqpqxOpZUcaiENU45jSqqUbilYTCYbq5Bi6qIH2xJJr56k0tOzayqMBmP0OQZ2qqETzNXtvfyJ7HLMMRslmIcTeDNfMyX8zhytf25cgAAIABJREFU6Qr+6nXvwuz6FONil4BAHmW7KIEiDoNa+GfiTtmHWgwAtSjkiwa94LKiTq0nmBq/sW9BTzOV4xAw3Zgz2ZlPkWZrgSU9C5Ej4PssSxEuRjjYHMTZT9iPZ77yYkQPDLHsLsOZKDucwbl0PvkupsU6ophM59PZ1mpiReV8y+RWJj+1LE2HCaUapiN88f034m9e9zdIDk+wUC0gltiAGJ0Fx1VWhYaDwq40siq8l/H5Mf7z7/0XYN6A0RxkMmiZGFJSyQID3K80T+yXrkjFVVLAq4IKVci11qAJWcyjRA6J+C4iyryVAYLMF+BeifBa7JN1KowzERIW9qwIJg02hQ7rk9+XIpHBItfML7FrtBvObcD73vBeHPj7WzCaJWgDV7oQhKFnOnoUevcEHkz9HIcXDuLbXvkteNjTH4pmT4PVjXXsDc6R+b3cHhbZOMo47RQc5yD5gYu0yFA6DkI3QkLGa0twXvRrEJcBds/24KO//g/4/N9ejWS6C0k7QtWkAhJ6rS97uEpeqEcM5TTY00MjR8ZQQmgQdqCD0A/k+rM6Q+xG8jeOq5gjJw5WJ8tYfOIinvNbz8ORcFWKhZSXpwxPkafii+QFnuzzZCSL5PxRbMh7xKl8hxehhQnKNXEu+wKSy5RoDHO89aQbKSAZhWbSBFwFdCVQLWq8KmfC80Q8ejgSKvWj5CZWPcxa4c9V4MD1t+Cqz16JG66+ASsHV3qzu4ZdYwG8Wr8pkcjiFiMGe96IRwABFuqYGymywDBHhXModWfd3Xrtb4vy6G8ti5NzRfnjfIdA7iB3T86cmotbD0rtILVMWcte5TsYPyQB1k2xQGN3nWfqIaDrVqQfjIa53Rgsg7mGyqXI43wf0yoVMg9B8DiOpRDV1DXGyQhZlgnLNSRgntJoucHB5ABe/bZXAbuAJub7UbbJA1JTKY2ANMyRz83QJCy2FrJenDaSDjaCMVth/TucNnfaA/r4e/iSW8Ew3eJ6gPb237yXBrGPOxp23Aq5WLmIO+1DnVEvNNCrFYZLX0DUBcC4Q3PSriAl3Za229EQvUTaRI2kldzCeN8A1DyvbCe0BbJlfejfSXZjN4eAyPJtclt744xBrmJCXWZh2OW6prsduCOP9Z/Fgr19TrH9/ivQb6dZ/1cz8yx2IN2aW587ZFpbgF2LBnbPMAUFwxrXp5vggIVdIxepBbJjfw3fY/sjJD+q623Y+tB41BaOLVNe76mQbeRSWNgwhstmT7Ojue2TbiHW278JYcdquNugR8By9XYiGM79lAEriUva2WvyNJITHcYoSiKQe2jyCrt7y2tLIXCIfxy9t++stHAPWKgDqSgrHW33O1EqEGNYD1GTIMhi1Kl0UBfRfPA34X7v5zGH6x2aAN1Lv+794PhGu7dZa55XHKlfibLdJ7k8E/A4FyYOWePWAKjbwEy7hW60g7ZdWT09OK6Pv485fiatjeGE5waQFTPMjSdwWIKkNIAbIMszYc2N58YSzDZpDS/1seTuQf7FEh/6sw/j0x/8rEgfjEqiza0Y+TDIJTNEfSCMRqfIMViDRT38lR+l0CW37xMJDk14NnBPVmWHyphSRXUk789Qm0F27mWYJRtYSQ7hnK/dj2e//AfgnO1iPdhESr1OGtA2lbRWa+XXAKvWHIjtvNvbr0wY0J2x5kA6Yw+H0zxxNTg3SdMW9rOChl1QLiCk2Z0sg9ImxWyFHQBQKnmhc0sSrqbu2kSltm5MxvhHSVI6qOo0D8apvv1Ak04DnSFjnDrYCmSInFDNdscWbuEhyRNlrxn5FJusKCuDQJC5DRwvcUtXuQAyMPnvlkCTGHYqg0GDMk03GaRtiRyNRnIXrPNeuWrAyfS1aSoEoYuQrPDVRfzixf8Ne2/Zj3P8c5AVKWb1Jpw5GgA7CKYJPITSNkn8eSVdEWBmFE6QFblof6ZzU/gPA178+peg2pth3VsTMJ0JqeObFm3RPOyjc8sy6aJ1G7UfdX8Mc5iFFvHh6sFxr3RlbJ2KDDlqAhvpAUlYtGFbMnrJnwmOkmVaKzgeExwvRF7FmiTb+znUi++j5VMDx081ADqde59o4Yv0MWmQLUZhJJI7ZIsLy7FtkdYV5pIFOFMXziHgug9eiw++7R8xWh5hUszDy0IFiARtJVClchLcfxj1Vtxf/EjmqYCXBK54ptU10RcQHDJ1D2WAsjjLM1MOOia3piSkdSVhGlldW861HCU8N8QknGAj24C/4OOgcwDT/Zt4zv//bNz/yRfgwOatQOTACV0BbXh9UeLL+UWZstPbuacyHFY3l+Z13Dd8+pCIbECAeDrCgY/cgj//7+/E3OouLBTz8KsWoeOhaEspJrjGkJPgEoFlonpyfzl+Z7t43h88vwfH7dvZPWcIxhlwnAWMjowm+5MC5ARbRcooclD4ZH9qck4d5bDyEBRkkFMaSeWACTJogqwgA40zFdDWBhTdIE3xREm1Vk1bmKQEx+fCCXAI+Otf/UusXrIseuNVqDJPTL6kY4fgsDDtGL+0Bhw/hGe+9vtw1pP2YjVcRZjE8DYi2S/LOQpK5QhEM3SHq5jSGqTBs+uHHi+Nh1CKlIyfaHzpYb4cY7w+j9//wTfA/3KIpFqAU3go2wyTZIwyVVkYOWvJ9iVgTo19rgGevRJP6V5LKSHO+YBxGrWo5TnqN+N5ETKkWMYBVPer8JP/+2dQnNcgjWYomhkSAjm+i4KS8C2NHFlkYsfG6ZQVOsVDW4yq6V1AZjUTcVekdgIvlOVUV5VAJ+w+4bldpTWatBXwOnAi+K0v3ZfCxHZNlYhLJwOdTuX7litvw41X3ohrr7gGK7cuwy25lQRSICdwzvdj9wn105QIxW+C7vwdf1pZAq08ERhXgpQC3eyEUZM9C8yZThoDffe9TwroaQHeyCS2DiI3EhBbGeMG9DMsSAEGjdZ/FwvKumPcoDmEnom6zwrBRYBDLZzIurXAYHdQGR8ReTZLEzmSMEFWlNrR2jIvUB3ysi4koxDfCOmNaRAGCaZlhihMsOKu4uxv2IeLX/WfUI2BOqnguA382oWbmXkZQSSy8vEUdZwDjJv4Oelt4LhqVn4cSYlTnF0n+HQF7I4V73Qg3LFioO0Hf/cS/V5kt6X+ocP3spc33KhP8JLvJQ/Tc9N+G+DU5Jj2nliGuBaIeoNN2XNb10gV9bG+EDDEOF4JMfZbzxir46L3SM6b2pPHdF8DnFhTsK3yKiYLG4T13HCO1VIwvNemP2kg19Pd/WGCccz7ajN/vcZumnGdy/Ludxht39vKFJeO1gFYPjTLZL7C3EHylx18afq/7bmdJKveE8ZrWlgw91cwBSNvyd9JcXsoDWO7Zcw9MhFFx+k3HQHclyWPGspsyU01t8PIMkpONpBZYVcvczQ+jvFQEZTig2PXqJIVh2tTR73P2Sy1w972wfjvYAxP71NU1kmxAsr/sI7Q3ytJfXnWsHsqT+AV7NwS/a1bgyX8ajAXveveLK+yw6jy9N7SE333tm0nOITvzg5nP19tNI8Kg1DYGdRizsIZWtFh7R0BLB5lIUxZtF07r+yAnaNCV23b8vcTvbL7Hnc6RuBYkz0MQ2FEVHWlQJMLhH4ogTeyFs16g93xPqxedQQffvdHcdVHr4a/EWJSzQFpg1EciYEe0QAa3VG/kAm7bKbSFmlV0XTfthwOAg3cVtlWLa2aJ/hlDzo+XHQTxagJndQL9aP4xVctvBxr7TKis3xsJCv44df8MJaeeA7Wk3VM5woFHNLG6I9bjKFV0NSA5MOtX9aFAWV1LM/kg+EEB/wufJiEC9a4x7Kfzc+jwPFBl0rH4jdyIbYdtpf80NfV+6MJlgAtprBnWRi1SerOVObZUbdm0C6oY2tAcUogUTZJEnCP6J0x/HLBopLo6Cpy1xWfJGE2BGeZ6SaYqqICVViCPwmOy98MUqRjrMCgacA2TDLLQDeanl3A7cJzQlRkX0ixKhdEaq4cY3JkF37jub+G6KoRzsLZsm/kyEUGTNjmRYzEG6FoMqTtDAt75nBkZRlxMBbW7nK6jHwhg/uwFq968ysw3bWBNExRVtQbVo6mykcpS3gLNcN+pi370tF7FGPbmpqGohFLgNxITpExToC8pASD6o+TbSoFw66V2b4eE2QtNlD6gTqm1KIm61TNgo18Wdcee/RsPfHdc+uMubOCn52+/6luLRwbL3JEMsXzEoRkIM5KkITvCSvfQRtGaGcedueLuOK9l+Pvfvv/YLwxQZiPxZw1dDj/Ca6oY5RNQDUpddCKzJxKoRCEZ2HDd2neyMSTnQe+EQJQkJTrRNjQDrVqPZ3bQtqh3i7FQ3QeaKrKlloHZVthEoyQlTOR8CjDUhjkyYPGePKPfAce8YyHYb2eop6UKJxMTGwn4wSrq2tI4sk2luapjurJP78Hx7nPatJGuwHRFnV8jNIJNj65hre88i3YvbkP8/k8QEk1N0LR0KSOIxHKG+seTWSaQKrCZdlihh9/+0vFsFTYT8LqsS1fmmzSnFGY/gZr0ERHCxK6jNUEl5rOtU9PhBZ5WCMd1VKIEmEXYbxD2Lpe4SKQdewJGCkgtsgg6Mtp1ExwUBm79BcQDF7qgcZlzm2QBTVYsnHWgT/+ubej/GyGUTlCGVaig+83ETwBLjQ543twJmV+hSNzR/Cc334W9j9pLw57B8W0N8rGAqrl4xxZkyEQObydrWSuHzK8/ZA6+A7aokXIz0rQzm+QtDHCwz7qq0u86YVvxN58H0D5GYTC/mbHDzd7vjsN0wV7abUYTRYuNZr5Jf1LosFPtnwtYG4cxULCCDwXeV3A82PZy0t3EyujFXzbz34XHvvMr0G6mCJr1xFRzsLzMBMpKhVVkSI4i707LQ6c/FS/U5/B8c9RiCcCdelZEyIILvsNd4KmhBu5pvjHem+kXS6pB59SQHWAmlJeBFoLoDnS4PANh/HFK27CTVfchJUvryBqI7S5sqhdT/WH6LUhTH3+j/NapL96wEZLQbpDdcRNA0vZtnpp6RctW0VnOskEMbW05JceXtVITGN29a0yC3NAQBHA2+y3LNBwjll/D81Fu/4ucx+MKjhBLmHXKoCte7g+pGanjmdf10Tt8tqNrNdJmGA928BisoTldF2KdNRSH8Xsop3Cc1qEoY9ZPkOJCslogmmRoXIdZKMM3/fTT8N5F+1HxaJNqF0OKGqRwhHDloBLpkQRp2gTMSVRDXijty1jcRL5z505AfUeqliRrlONg7q7dpQGsXn3oeph/6stl2bNPeUumxe0nYN95GPkkraQkO7MT3jPfi0ra2WvUsfF6GkPYHO9IQY07bozdK8I2DEt+bbxdhVLEprl8lu7RjtpXPEKGo5JDwTKO3T3VXN3cyCbJ9yeNrctjx5jvIdHU78d9GDssDZg51IHelsZGbPuDXVdVKJMoUDA3q5SbQ9/BTwNHt0B5ip710f78jwaMN6OrMpWgtzWzyfv5vVwcsf7796Y+67V9u4HQjt8eP9kO5BCRtftIkx9vU9KcNJ4qvf+s0A1H6dGyscxmtJ41hIIhPBhgXK+uSM5R8l8TuRmbVHBFC9N9qwzT6/PXo/+RosOW4oT9+zldszJSflFxZRKMbmnXLAYpcv+TOsIEj+BqBojrhMxcC+KFMEcPjleSl6NJf8TjuPMzriPfgIXvLOo8gRe+HQ/pG3pXoZH5Afy15Xr1UUonSCMA7RJg9SdIQtmcGMHlTiMq4baYO9Shozh+W5Nx0XRc0jLOe3J2eke6zPh/Yf3tj+MtY2TYJLvEahy0YrcgoO4jBGXY6T/von3vPU9uOZj12ChXUSUxwKoTYKJsFYEEJM2QT7fOB+L5Co1Og3oYM4k5ZT0/+O8YsBp4akTGcdhICnv7RoDIxvcSRBtgI22xXguwYGNW9GSabU7w/e/8gdw1jedh9neEqvNGmLPMG6YNxDoIuBesxXYhHDbqt1Hs7ROFzR0IqN1z36MCQm6i+wP263nfafDJiDCgJnEoMGAjt2WJIEiwRNlNglzYFA9l/lCZrMBHe91nS82gLQ64zV9AnxhiNBUBCXZBnSPZ2Lsdpqhlk3Ae6AME9Ouz62eARZNNgnoRAXKMBcAj/qaKhViOTCaAKtWud5WYQ3agtJA/1CDcTIMtWXUoQ9ek6GuS4yLBEvpfrz/DX+PL/6fL2O8OkFYh5Lopk6qGsOUb3I8xEmA9emqBHhBGMBpfCn4uvMubnNvxaOe8TB8z0/+R6zPr2HmpsKMC9xYWsjrsmJVzWQVw1DA7jLDLPDodS7Jvm43JthVXwZpRy8peeCLGTF/yjzl74XNJoNkUiGCYWSOlyr5EFWoQ/435SBUI9CM5KCV9VjXevJrfZgEn/yzh0nvTp59JzyHLcYOy6uAH07QENzLW4w9siEp5eBjlrVYwC5c8w/X4D2v/0vMHYiwUC/CdUagOoDbmAKPzGFjfMmRFumlVhiqsk9ZlNUkZipC78JzE5F4ECkWyg4IE1ahU5UR0Pssrf0CiusZaSUF+CgyQ2f1OpKAoGMtkhPhJMYt6W1oznbw7T/yFDz2WY/ERrCJhtr5SNES9BHplu1trnfCuJ7kSwy1q4UXT5DZ6PTXjotJPgf3WuDXnv8/sC87B5N0Aj9vEboByrYw7LRQGaDK1zemo9rpszpaw4vf+mJ454di8svOFGGtCrinlTsWqaQYYjRseXt4y9hN3Ier2mJMYyriVkVQI00KkWGjJ6FjzflqEjzpqRLAyyj5FMBlFwhZtQLC8woZtdTwuXdJlcx0zPG+U2dUWPOt+Hs6pQN3Crz1Z98CXNNiUo+FwV5UNcI2McxxNZoUk3Pia16L5bkVPP0XnopzL9qPcl+GzWoTo3qOQs6YhjPZHzzu46cAjotpMrekQgumsZd03Sy8zsnqGP/4W/+Am953A+K1CEVeagGy9eX6I0/nLMHxIODvChRtgShQOSnR1zes3siPhNFbVRw3H1VdInA85G2BxvHgegTcK8wmKaYPrPGyN/0k1pdmKKNNBOwOodkyjRA9iPxWVZWnWXP/JBfKtodLocXXXVjkcUoaRpt9w2Cr1LrnGUqAi8B4UkSICnZrugBT8hS44bIb8cmPfhJfuvKL8DY9zGGCuIjhZixSUfxJYyZhC7KVnhr6LCyySFwZk1lhQBpwSYpPum+ZhnsDkZDHLkKE2i3B1SqSnCpP2IM4tjfUwq3mlQUYN2xPib/Y3VMKIUeMV80liOGt6a9hKUZPV5M7mC4Eff8KTlCjagsh94hECQ3oxICUvze/Y1HMGHDzZHc9lV+JWGzI6DPgoaHfRDyHpiQ8HiAtZxghIsUGDjts21QMNnNuOLGHtKnw+Iseh2/94a8H9gGUEKfXidQfqhZ+oYUjepsU9GYJUrQR3Usr6bYrPZXhOp2yIkpcPbrzTEbbhDvd6XIMQNzGD9sjoyHIa/9m9+UhlsA5pufEV2cOpeOsuIstuvaGhzrtJbYcdlxawJTFXMbv4m+jhXrUPHt6YFw6t4zJrBaXjkYBOma62Zu2SJeYuP2oXe72btf2v+nSNSHsAIC1n0vyDPP5zWPVC80QQzoZRy2smQqyQrck89DnSLx5+GVmnmmm0zDbyrZoF+tQmUULdgZcP85WfkfgOJtuhX080BKXj2vGWop93T3sNdNlz28pmaUguS4BvV96z9S4WPZCxpmUvzGdvDIfrI7bdp36fhj0ExkdRiUtmUKAMAcc2btJdCJILoQxI41pH6eFO5N/DAhNQwzkTAfHJeYXGZpCujrpp8f8Tfp7Gb+x7lzWCOoYSZtIYbpMM7hBPQ0n4V8ne8a/ijlc5zB4vJd93XvB8Y12X7VWvTQ7kr3Eqd3dBCrZQlJSUsLLUAWFmAyxL1krQxqZ6MLm/2my2P+0e5yC4/ZI1VDuXjuM9/zpPijo9vdu62UfCxjX26zGZVXZCIOCgba7CSx4C1j/3Do+8o4P48aP34hxNsaIVbOS5y/dfGsxsmTHUOjNg9mKGFOwq0lEE2sxzyOgQKBK8lM5QLjpmKi/1bZalwZEW8vZtzvmw7nWg3KskBqjLTEqo1GI6jTygEncUEq0m+E6Dk+W8UO/8CPY+/XnYDbJUIcFSqdQbTdhmCjLWA7VjkE6vKR+rh9vvO/5k+aecYU6kn2I3be/9dfXma6YoJCt3sr61aCBCb1IApl2QlEAU4RWNzImSwTE+ZPACpmDbLGnzhq3tzOYeWYiTjNYfVRqgzEJqnjY85vgTkE2s2WLGS8J09YoXR4D5rkknxxDjhHHLmhQiyRBIT4VZDYTyFK2SZ8EDyLh7t4Og6khIMsgjMw5AlMSnBl9RXfTwf7mLBy5dBm//5NvweL6bgHYyJIJo1DW5TSfIQnYtZJjlCSYZjMEQSSgP815s1GKlfkj+PHf+VGMHz1CupBivZoidscIEAvrjuAKgkLaxC2A38+8Lq3bWhseLB0zw7okRgJeQhEEyAVc80As369UL1blO7R3RuQipLvGaK16pfp/RLXInrHlUcFxU2jobu8w27CH9c6SS7v+boc4c/t7sdkAd/bud8IeJAALAU8XVetJx9LIDcVYs9ksMcIYkTfBV/71Vvzpr/wJvFuAs9u9cFKHREskSYQ63zAcmFBa3Sn6YPjdwiQJybRscgVtDShatNRrpGZ1hBk15v1YxFUItPtNjYgAScNzr1TPDRNSEWZXhjMDcp0PIXWFBeNaQxtUUqSuCfIjhhuFOJAfRLorw5Nf8G14wg88HulkijVnVYpJYRyiKFXW4nR+9Qw4/svonxrAg5DmuJhgctsEv/TsX8Ti2hLG0zHGDfXStQAkwFdDcJzFCSk5GQ1znusODoWHcfF/vxj3e9L5sn+zoC7cy5rJpS/ngJqwalHDjkeXS3cL1aBvhrXKc0C6YIISbUCJKAJrqsvCIpsUFGnSSYkkmhazBZ1njuiVKkAfWH1nkR/kjVYGuOj98CuAMHfJLfrDV/8Bqi+UmNQT9RmoCQ7Fwgojc0njah3N0nWxNtrA1/3o1+KJz34csn0bwKhFNWvB+VcmBPhbYRvvHBxvxQSSdHvqWgc0R3cIOtfSDj5fzGG8PMLrn/06LB6aQ7DpwfUZ5/loy1i6BEVmwwAMLs3F2lrkfhhHURuX5wp1xouiFH3U0FcZDTmaKcFnCtgZ1wrPgDKHM+fiGucm/MxbXo7osQGK8QZQ0wsnQOkGAkw6ETs5KHtB2aozNf/gGcuulJYlM0S+L8VTIWcI2kIZJcoPRfCph58GiEofWAG+fPkXccMnb8Cn/u5SMUiV4htZ/EaehXESPUYofcPOzro0RT5VHjBm1JBuG35pqUclP1g8suxuKwslDG7GEx0vXCA909th4zgCQQos6E8bFxjA3xhtEsnTMhiL0/oaFh3U7j9PZHd07+R4aJGsW9dCuiE0zr2gkI4KMc71tMhMWTJ2jfLn4tkLmOyZYO95e7B7/y6MF0agSR1160kAws3AX/3BezB2J/BoepoFiNjNAV/Gbpquo6TMWVTCnfNwYHoQZdTggoc/EP/l1T8IUJaBAN0cz5RCO4tE7iJUVifPDIfrrEATcN7q+Z5zHzOs+9O1f0tNT7G47msYn9lfasRxnKscrr3B63Rbronx9WFbX0W7e77awXGDvmyTA1GQvGfryrqzTHD5acgtBWUfFCyVWNwAq+xG0jVl2BvHun18GiU3jhMAHvvXw72We7wwYDokX3MPW0lRBMl2iXTyvV23BD8H9x/TZW6YzvT5kD1I/EJIZlKpRpKapLvVAL5iOjnQ7O+n4oBCZy532HNiWfGyg+2wsDxcMBaT6AtKg/U0AM63A+1y0tv8y8hYKjCu95o/Jbxl3iBkJiuTI4CKFiilomhkdfhTOrkGHQFGNkQLLRxHLVAIsZAdq2IeblgEAT12GvH16HyjjNG6rF7rj2K6jCSu3ZIzns4odCfv3TPgbQdUV4QQPXiOhyV/epJ/0rTdYfJQC8P+5tFi/NpgMfozZ46ijfeurzM1qrr9pLVt5ymnMj2U/lI9qx5K6QyyxEsvR+5nEkAQKBJjALaDKkpk4VKTzFkWjmWQW3a5BjoEQyWo+mp2m74HrIXtecGxDrTjgeNkQvmI4JU+gsJHUkdYv3YdH3zHB3Hlh6/CUr2EaCPEXEtNcm6uNXzfQ04LvDYV4862UkBKElHDlpMkz5i2MomUVkeZJzTP4WHtSxLG53htdRLg+NZPouw7TaglZWabkMeNnVOZbC8Pc+5E2hwb0HQqQ7WnwoHgCJ71iufgQd9xAdJxJl0UZD6RmSot264j7BLhtnSMGpsADH9ulVS+B0yHM+wShkDfMEgzDADTTqYtZaZFUJjittXMFeDBVtm1sm4CA5oziiaxYeAS/KBshZWsEFFZY7B2xibX24Fpq2+sh74c9GKO64lOLCUCxCyX5l4maFaGRm8c2LVLm7ETTXHRGSdLrBZwSopjyhvr2y81UupYXnoFqtuvabQ8oPvWoa9RMTgjo4Edx14g4Ek1rTGqRhhPJ7jsrz+ND//xRxEcDrA32IfVw2uIkwjhOMDadAXJKEScxGK6WBXUoQ1QODn8s3w8+Xnfikdd/AgcDg+iXQBmVY4IIzE1E5BaEkO2/psA85ir5/ipqy0MaPHPyD2IURgZPcrqYfs7DTop0yDyKgIImXKg+tfJPGQCznOZzHEmzxxvGuZ04LhNMg2LrgMKtnRxndzy74Pok3ve8NGnkzlioReCcmlVwPW0cFZv1phvJlhoF5BemeIPf+ltyK5LsQdLSKoIVV7BiwIUZYqA2Qc5AgT6qHstRVsKPxDg4G8IctO0jVrYQOk1yJwG9FytfR+1x8cTPG2AohImUOx4iAhOGQNWiZMYTxtw3bKNuD7jJpSzqw0rZHUqoOTCaAFhG4vpmx/5WHVXMN29ge/4se/AY5/1eGwGGyhHFabVFH5AZOh0wSs6E7qE2BAqZO8xpmGlA4y8aIhSAAAgAElEQVTyMRZW5/Hml/w+ZlcVGM8mmEeCpqRvgdEIriMTh8pqEpkR6fhxHSwnK3jUDz0KF/34t8vj6Rsg+sdlg5DsblKJLRBnFE24uDVvN6U7kTrR/Uevl/9ntMi9Ukw6eTbUoTKT+b6Mjyg74YiHgO6l0q5u6Hb6ORWEkKhYWGoEIQlYqLybYIRMpqbAX/7mX+DQxw9jUk50z2sY/0TmWgphy+te6TLSwkYyw+gJCZ7/5udiwz2CalwKY5vzZ+qSvcQ9XY3VdvLFtVsRcKgbjBHDd8iYVafTyAuwmM7jyndejfe94f9iaWMRMTtgohpVxeeMEbljFE0qzFqmEJRHoS44ZSzSPBWAnEA593QyxWluSEA98kOUpWpliySV54neOLXK24IHgYND41Vc+B8fjP/0C09FOlnDdLaCMI7h+RNslhnKsBCwhOzJMxUcVztKVk+UBy3+PlWNlsxj+CIb5tMolkDrGnDblYdwxSWfxdWfugqbBzZEu35XuQgvN/JNNKQMqD/uivQY9xIC7ewIJWNf4yiVTGHXVegFqPl+RlzMnuqWOagkEbNmxMtFuxT63j0FXBT0tGe/GoLKf8sa7M98oUEKEK6dNertIHC80RH3RPKMQDglrIqGrHLq4dNETs3kJJ6jR0dbCfGm8hrE8yMsLM1jYe8Cls7djbMvOAvnPuhcjM8ag8c9AWxRbRIvFOM54gJBMwKWgd/7md/FwesOYVyMsdfdCz/1MXInmGVTlcgatciTDLdmt8LfG+Ki770I/+Fp36JLLuTypz6Li1I8IEqEzG1Elk7Z+tJpws9JDYWwEtPtnPJpZBt147OTFXxqz5Ft7DhqGVt3FBuPm3NmYGRniXTDx8ujtm1JxyLQafxkJLJO7aOckc8exl82jpKfpnirRWNlDFtZRAFK2f1Jhjj3vpJxvnExEXJ0L12ok297bNC3AChj1oLXOoRHAbjbTDC3xH5b1n0fC+iuYEwx5UzUbwFoDWlOAVruKTwDHOke0bVi5B1F4pG5fL9PdIzyTs7DdqEcHf/IrtMZomvucfQpuVVWZieTaIi3HA9n0f396C+5zwaslkcYSRWVUlGSDfdpAcZVr49bmDFb1mtnwVkLlwqM83G2iGI7rjVIU98uEZ2S9audO7IXs7jHRhd2qzL+8dnZ0pPItHt1mFsOcY/jls12Mpx363M0DtRq8VZ5Ky1QdMUOQ2DiUIVNhJBSpKmPsijgJs2n5vaMX4U9/r/d2+RVdhZV3q238OTeTORU1vD4/HD+29V6/c1cMKyUU8u0CHIUXqpsEVM1Y3CmhgC9XIqtBimg2Qc+Ngm6Dxw/uXtyVz76VMDxoAwxmo0RIcbyZ4/gA3/+QVz7L9divprHLm8XqvUSkUupAggoToZLVpKtEyIM6OhO+REynmxGKsqdkuQy5Bb9UDl8exkeq51lVQmVV24qvcdbjVsOF32Q1Znu7SGUc0ZGH9l5bOfmaUAeYFMXmAtD5M0M61hHOW6wGqR4zmuei/1PWUKxK5PEjC3BDLilzVPIyH2Vtb+H/RGowd1pxybuyul1F7+2LcDZMbWKloYFwfZ8pmKmVZA/pRAjRjMMFBgo6k+RrBB2hWHs6SSRCjglN8h6buJG5EBKT5nPcp+NPv5d/EHvkpc3K8FkIn2AaANk0S8tHDjUzeV3FSCoA2kd6zBV07UsQbGoqTTCJBCZD5q1MJnzqJNpAlyjN8fkT4sPCpNLoNYZ1SkrXVqlbcusNZ4yPwUEIvWTzFHR+Y0QOLHITtBIkclv7EQCAHzkXR/Bp9/7GazfuI45bw5NXWFar2P/hXvxtOc+Hec/9oG46rIv4NJPXiYGcWc/4Cx87ZO/BnsfsQcboxVM3U00noLWQRuhJGjg1SCoqlK5ChrY8L7bhvpc8Jj3j59RDE5l32ERweohs+XVQ1B6iIpATP7cXBn7EoUa4E6I+XwPxr2ck36BJqrEC4TM8Q4c1x1vADj0cOhWibOTm2bDroyTe6Y+2iZyp0szVVi2xNJCD3m9CX8cIm0aBFWCs7EHzXXAn7zyj5BetYl4M8JcMI+1dIrAowlsjnEQi6wA5y0tiQg6EsDml5RPaBTYNnCFoVQhJYTnFagSiJY09b9dNwMaylsEiJwRfIK8mSugVuSofI+aYQkPpdc2Nyb3BLCSZIwspV5tKAXnzXRTDpXJJMF0tiaMw2ZU4wAO4QX/4ydw9recg/W5FLNgBtGGOYnOq53c5zt6ztHgOEFfLbrxPE7yERZWF/CBN7wfn/+/V2M+m0fIglHryN4sIgocN4lDLTiuWSDlr9bmNuB/o48XvfYnxExTnsN7ktfwcjK8Wewza0k613S9SDLOIrdhTWnCzIKUJpOqlKM+OoyJKWVUMjkM2U5LlpV2s/A6fZqVlw6C3BXJJP531wln5kzjsCNJ5T98ancLy5zeog6wAXzof38I17zvOkyysQHoGWSY4gaLdOIASkCSUksRplGGQ4sH8LNv+il4D62w7q8iihK0gYdNSuu4fB8DhtzRTTrG32X9+tQarzERBruL9aJAHI/EtNG7xcPbXvI2+Dd4GK8miFsXubMmBT6vWhRaPPXhy5asbh+zcgbf8+QzF2WB8y94gIDgN3/lFkQhKbZAU7VIogR5nquRpHBta1RuLl0TQcmCU4v1UYrDuw/jp/7oJxA/yMOsWpdZHrnzmFG6ZayG0KdSHNjBkN2pTxHZH6PZLkaSLTsxI4ycMfw8ljmzee0GPvvhz+JzH/0cprdNRdKQxRrGQImbwM8Z4+qZIjAzQXFDWWZxwjVxO9n6BMh9TxnZ7A6g14GA0VaOwMiemRNRCzW2A8+CXbYQJ9Irqi/ea4GbErgB3dQcrw+QuZaGhTyrZWu1Dhh7i/8GYxCuP+6xnmGB82yMG4z3jnDOBefgAQ+6P/aeuxf7zjsbo7kRgoVIQXAWIWuVjpHOikDB9Y4JTwKMiUnYWZoUCVZuWMHvvOYNmGyOES/HiGcR4mYE3w8xbVMU4xIH2oNYetgSnvnCi3HOY84R8+wmL9R4k3OeIRU/b1XK2SG3gPeF4L6ReqbxdsPusKRClmgceirn96lORltcvqPXseUP+7itOafZ/LYBgPqcE/k6c8G1E/l0t/cYjb9Md37nd9LLfPRxvBJc7LdIIXUds9rNJI9VMe6++NsvvU4behizWWm37cXFIUDeaY/blbzlpg4KX4YbI78x3Y4CqhpZFK5BkbIkY8CA4AKak6RpYiFliphCjImRTf+2USk5mhHeE3K2jvQQLr+9eX481nw31+9A8sd2BtrH9+jAMYoS3YvatWHwNcO83/oMk90J2cbqwTPvtYUqxlgk3ahcZkcMs0UTozmv27YWKjVmtxGW+kQI2M77Rca4NSwPlSTA/yaLnCQmW8TTEqgWtCT+7ghRp7oa7v7n87MoyVfvg8b/WsRhEZjEBym+i/yUqgswP6X+eLg5Rp2RyJTN/In/ztFk/BvYg+vvTfIqJ7Z/3/33bcfv2G60+7BevSg/XPy003iL0nETsQ0zRxUW3U1WTVkjUdAFMJqYaAuGXUj28DKhjGEC3scc3/Et6p64tXKsgePWzdqU9gdhRl9VthVAXdz2oO2MGzpQymy5VoNYKotqOjDKR1j9wqqAT1d+7AuY5BMs1AtwNqlVGKj+paNBtOO7asBUiWWN/L1sM3hsa2Rrk9FFk4SJwbc0RlP3VUE0W3xxjZ4hjW74FLYID/XobF7bMU4MajU0pVCdaT2W2IbKTV6hB0ffV0A+3cZDBv8l29vZKloJAJU6OYL5BIfiI3jp/3oxmvNKeLsc5DQ7Y1u0CAdSj196mmQxWLayDQxVm9kwd48uXJ/65DiBV+jB0e0P7i9ogPn1RQjzcAvsW3ma2w/kjv/XOw6EjxHUSOFBuwlkFM1h27fCa9KvjAllSohWdkMdNu0FZUxF4ELYFdLOb1vbOwKzJEYFJYBCBcerUBMutrVz4shZuEPm3Qncojt8iF3vsrt2yak+zbIvbIyr90vXei/qrX8VoMcwmC1oS4CWUpkiqULWeBsgNAY+slC45ZBRZRkFDGCFJV6jigiOFyqlQmalMNv4PlqA4GtJWy41R5nMdpKlZi8yLdH2k/Qu8lpyMlerbYXUusUELveUooYX+cL+5nP4Gfypi/l6AQc+fwDXX3EdojDAORfsxzmPuB+qUYUmYLt+iDwtpFWfgZ4zarFcHEYepIgmEWabKaIgUTM59pE4qTDsXDKFjVv8dmmVOyp8yfw0rFW2SEsLHvc30YNUcJxMZbLHCZgKC1W0iLmvGqDOgOOWRd9Qk5TgeEC5p1KKFQrukY3Xa2LbPVVFJAYbkJnLwzXdtX0O1pm0NIs+uuqh67qzbbxmjpkYoNMgNBroIikhupCqiS5sHxt8m7NKx9JeV1/0MqlbtwOdKLB+rECN653KsYzwp+UR6SbIywZzzRKiW+fxiT/6OK54x6ewsDHC2KHhZQk3TgTIKzbWMKYGckXmNpC7FQpKXciZZYwVpVeqBO/J1NlAFmTYdf4SHvbER+KCxzwEC3tGCPwM2XQdZd6gSh3c9qUjuO6KG3Hz9QdRrjYYNWMEUpRix4ZtI+emY4BQaj9S3QcJSMgVOQHfQVpMEYRkUZZwaBXQFCjiEtnuCi967UuBR/nYGK+j8RVUddmV0PnEGFOlzleBw21ZUvYO9CO/4+PLgM58de7DlkE9ZI6TQB2kIXav7cJn//JyfOhNH8XuYgntZiUM4kI2IiYhLCLYwqaUuQW0LtoK0/kUK/dfw3/9k9fIGJRBIYWtMq+kI0YlixRo9ESyo98fyQBXGc+eSS6jYcBxUQRl5wB7A7wGJWUewlbOCXZvcI6TGS39ATTP4n5aOPBLBeVVN0WnM83BWXTlL2TfktemlrcvzN9PvOffcNm7LsM4HYv0go8ATa2GUI2bC9AsXTxishkiCwqRhnrwd12I7/2570FFn5TZOrmvmJsjs3WmrG3DwusPm2PrCMuFmmvV4qSJm7hmvFjOz82ywjicQ7PaYPnSQ3j3z70Te1d3Ich8TJwIU6zBcX0k2AP6sDteg816HZNwjJLukJ6DWT2DO3Hx5O98sshXvP+97xf9a4K5RVYg8RMxRqZcCFnC0oHk12jrWs57FjSWmzXM9k7xlJdfhEd+z0PR7q6xkW3Ab0fKxB01mBUzxC7j1OFOMzxy+5ndl991Ldivo/813Gn6/WtwIus/e0zQcKf7X24/N4avqKQOnXOcrwE7jDjvJRn3EVQhVr+yhs986NO44iOfw/SmKebKOcRFIi3dXhso25yxU2MMDS1T0wBTOh90S7YNE+IDIqUIzfn4fO517IThnBOxL7mG3heI1y3SaiQZGAaonONGFkHBcYGCtcOSxXLKKKq+Q2/YJsw8PSfU80XNPCV+YNTum4JKQ6nPBpOlCc56wH7sPnc39txvNxbPWcT+C/Yj2BcLKA0RVipVdkxAN+VBKiinJnTy4U1xSyVZ9F4yH2FxTGKZWuXP2BlbHyjxnv/1V7jqn67Uzo4Z4Ho+qP6URyW+53lPxWO+89F6No8q1H4hRI12GYhoDE6JH7L2hRXvCPvf8QMtvmv9XERrapIORjXypELhs1uE+5yuy+OBERoHmhnbne9dZDWc8Cf1bwt0DcOHLS8wmOPHemEbNh9HlaP/PMc7YMz+s+Pz56Q+7V3z4KPIafZtBvts/87bP6neAQXn+jVjTmuJx8gKJxjOGJ5FWcoiimSfdCaY/InguNaCdWuyTVJmGVhAtFsfgxtGgNX0VvXTYCCVwW7qngG2PY+z6Kqu5R4zst4CDdzA1fyAa160/61uOM9ldk+wA0jJmkNjSbtHbsWmrVFon/mqZczAQFQ+89aVdNw43uxjdwSQH2/m2Hxs+98NDL3t10efRZLLGeZ879PUEwUlLjD7r/iRmM+ln69VWb4y1M45Iysq7HLxIVFSWadfbgooHbhnZ56+lJAACIRX7LAOG4mB6H2kDHLG+caw3viyqE/AoLhzjI2jvwvb8AgzV+4ov7prVmz/qnz/HhzXnEwKs7bw2zgIG1/GpvY4T+UEgU8i13Qk8iouO6lR/ft4cf633Hn3XfcmeZXjnUd39X25S16/bdsRDuTfvnnr5m+M2vHDycCrJx7SMEcapXKDXVY/CCzWVuNRk7RjHbUWqOwu9pgb/pbU/C75XPfWF1WjBRNcMjFnGz0PCjndzMYjgnrac6SHD4NPBpgKTFADPPBCSjLCqVwsxAvINzOEbDE3QSnZaR6NJwsP8+4C3NRBswJ8+J0fwif+4l8xyccIK09alG2bsrKeXAGvhU0nrZlMCBW0DCW1Ixg9lUBYgmdulmw1J94lNRaVEbDSJD5ZSk6Fqs5Fj5V0r4Kbrk+JAw91pToDbI/nQVo1hfl81FOk0Y0rbS1RG8EthVMsvCNlqnOIXDHF4f+kiJ63mDhzMpaSCDgFCj/TMW5apFEG/8ExXvzWH8P6ZAXT8SacMERZN/A8GkYVcLxSP28VCQChiTYPe9sSOTQ6uXtnal9c2Zr62RWpgVtfRLEdIV11niNnK8tbY5OtR91w3W8DcHun7+OH9jbytwUPe11iesFDnCmWYSEF0spOkINgkos6q3vNNQG/DQhkGRKdHNS2+2Duk5hPkYUUNnLoVwR7RXOcM2KbLMjde/uM7ptJ2mwrXRdt20RP2461+8u0e5niEJ/JVjinqRFU+llKOsQx/WUAXfjwpw4CZngybhxTtmP2IAnBDN6XkqxHHvRGE1MkPsi4Fw1/a8ulUgPUOySAo8x8+/dhf64Nt7enBXYiDYMlC8gaBozy1br3lIS98URbmAmBBH0MGrnn0OjK577Zw7+KVJhk3LAezM7UFxakiGA0LyxYsS2pOZGpYPdvPla6E4xGOO8Tr5WgaFIlcGYOXLKJKfVkNKjlng5gFcaawtoPGiCmFvIMJSXQGJxK8YLtp6JsLXOBwSrLgW7N/d+D43lilkdmIPduMc5LErQOO2Iq0aYexWPRKEZeYz4co53WiMpEcFrZQNcbrN16BMsHllFmpYADi3t3Y7w0QbJ3BEwgzLfcZfeZGvlwbeVEd/n+ZY04GYtGLKslPH+IDig7zhr7GHM4A+QqsD6Yj8cY+OPtLFIMayIBSpykQFsXiMsAu2f7sPzPGd7yij/AnnQRccl9m9xwapOHEv/ETS11ITF8cz0cblbhRjyDKsRBJMwsFiem0Qwbo3VMHhLjm5729XjCU54ITAJMswzxOEJLE9kqgxf60lnVVg6iYB7lrTmu/sR1+MwHLseXPvNlJGmCRW8e9WaJ2A/R8oyhEbaRmwicSKS8smomhR7qP8/KTK7NDV2URSY647mXw73Qx/Pf/AKs71tFNtmUeReUY8TeGNksR8DiEmao2VZj8GauV23V1bXJOFDW73Ha6k9k/vM8YduznPTiO8LzXW8nCy/yd5o9pS32lLuxefkUb3rhW7A32we/cERig4ojYqxr9jQSo0SLmPs22UxOi3Rc4rbJEbzqza9A8lAH02gTaakM57ZopGiKspVvGhsGLZnkKncj2pDStm3jp77lu2tHHkS/YsLkMSksJXF3R44C5Cykcv/l5yRzl8Z9lS+SScr+ZmIFZKKa1CBsKgQ0KmdMQ1fO3MOXPn4z3v2b78RitYCJO0aTckVHsg9wTVGyitcqcjs0IHZLbMSrODh/CD/zjlehvcDFLExRVwXmSg+B52Aa5JjWKZLRGFXTIM8L6T7gOIrBeGf8q9q+HSDGd2L3T+UiDmOJs7hs0YbwpxF2ZRHe9LI/RP2ZTeyezSGuKTvUImOhmfe7SSS+470SrXB+3jBAVubIRwW+4tyMX37LL0rx9Zdf8ivYWy7B3/AwcmO0LC4gls9acY4SnJV5qQARE1QWqjZGm0geE+PHf+uFmO1dx7q7Bt+LhPVMo23KsQhC38laaUHZxhc9rafT2pHHkoxhv7rW844BZ5BMfSQaysJEgRhF06PCIxOb8idNAy8MpFtIrqd1EHiMiFnsqmTcyaKnWSllTWSrrwhCKzjN/4/bGP6Umvkh8lum+NzHrsAVl1yOw9cfgrfhIK5iRFWEoA61+NWoH4J2LPCbn9YaSm8J0kyI1xfSLUtbRVEUHOf9zJn005xTgHEgENkVnSU8o2h3LOxzFiSqUmIMAYGbFiUleFi5I7uRDFETi5GxLqPHPcalRn6hnVBhjZk7E1PteFeE0b4J9lywD3N753Hu/c/Feeefh6X9u+FOaGSp48/4oi/Cqg6xBedFk1iKtMN4QgPDbXDMYDvr770Ut6l5XLSImlC8QVZuXsZN19yElcOrct/Of+AFOO+B90e8lKBoctnP2FlHI2FKJ7kb9LgQ7r4CLcariPt2a4yXO5UMllqphU7QadSgTlqUUhRTKSY9Ci3QZzr5TAdO/wG2S0GcaHn56B39VMCPY8G8J3JmHOsxZyo4rnGYKUR1y88SfSxI3UsW9iXLwey00uDGg0bSWM4B5kCthxCRdn+ab7KEabKrpoH2cN82vQcDKqC16f7o8r+uqK1yWLZQZffOLR3TxoBcG7ENKC2FN571DRAqIUS/LLA76BixxVsb03d64zp2oikujxnsybpJyysePUe3/eYEmcvHz07vmtl34mvr2FC6/fB6dQNJmMHlSvcb4xHZsa2cqOrOi/Kc6bSWAgsLgWbeDGXYBMUQMogxKxVsQyU0yRxvaQ1DyTmR02SuRRlMlcdip4LI5A58dXQe9PeuI8mYgsuwUGPn+nGLczvdUE7wedtLKIqvDYoYhjCk09EYu8rvSMYIJP5zZpReDEnqunpu/9yrcA4+7DgOWz/P+K8Tn8P38I/akrq7gYdWh9JfaTaqpzmVE7WBi2LcIg0LZCFBwUoYNlwsXiNiaWJk2DnS3sM/473t8kRLjGxC2oqRsUktX8MoU/MDZfezZGVBEV2kBiBnUhG4SKcZFkaLsiHWeSuMrHQ6xSiJUVIGxQkwHy6gWW3hrQe45XO34M9+78/hLfuIViJERQhf5oU6KGvCQNjZpV0eHAb9ZIDXLKwo19czgbmydjQwluCYJpwNgTpP2sVnGfVaVSdQDLDYShg08BMXXuLifg98AOLxGJPRHCK2ubue6FRu5JuY5pvYyNZx8y1fwdqRVQkK/NxHTOfghgahLiKjyRV4I+RFiRw5HJrzlDliL0ZUM4nzODSoCKMYph1ZO7lXYmOc4fHf/zg86WVPRLE/xeHNdTFCIzuqIOjhVzImAiIJOK7JMt2Ndd2IlsJpmZpHySIMNnZ7qOphZFk1gwDGHGHHA8eHIbf9dJbdvYXIIrkkmTiDYHBbJd9wCvSY7zMFmWNMDNnFoiwJNZchMCWtg50JiXY7yFoYZD5bK9OGOmGCQWEqGUMXaqhJNdzoZhP0Va1LJpan597ZsVCDFN2TVS/OBEudZr9q7+ooUwc5kESZQZHk214lpaGIhluOgzygKRpZjh5CSnpsuggasqW1yCbru6bGp50hZDwSxKKcABNY6u+qFrgA34bVoYmb7kfKUFUQQdbCjmUdhlqlfVhlp7Gm6MpskH9vK84KE818n44FqPeL4AC1e/skXu5TzWJjiKiMpfVawHHeN0PnsyZ2ljnEIpHs7WELxCWqaGYk0Ai6M8GhESnvuXbisMjIkh+LoFx8ZM0T/K5LMvwVDKSkATVo2U4fuZFIuzTrDea9MZABB645iGs/cz0O3HgAX77hJmwcWoVbtAIuCnAGB1ldEC8DRg4Wzl7AQx7/IDzuGx+Dcx98HrBA89N1YOxio5whnCRYTzcRJrEAI0VGoJdFzK6twO465kwzJrDC1Dj+Hez2n+0PEeZ4ojxCf4aR68E7WGFxfT/+4tV/i0OfWsGoGAlDs/ZoqkmsPpZ7FqOWHifuoSlPuVFIVwq57jgKcGj1AEaLMdLFHE994ffggU9/CDCqsVocESy0dckoaekFirLMESRkfLtI01TkVCbuHNo1Laoe+OQBfOyvP44r/+VK0UEfsWWfrGMCum2LcZiIXn6DEmFMcI1awUDsTbBWz6Swy7sxTkaYpZtYGa/ivIvvj2f+t4txIPgKmrhFm1LGZSzAG+MDad+njr1kSey4McUx2WdU1VoZyzsXZRHZFILGAo7z9TVh1s4VXRc5gTA3lAK8++8e/ufzfh/jw2ORGgq9GJRqZ9E9lg4gLnVeGffnQjpAiqZBFlc4MlrHj/3a87H0DQnS+Sn71eC4puNBkDstnrMoKACCSK0QHFe2bPc1PA9lb+E79mxe+ZWcG5UAt21EI2c1dJaWAsuQZ02fQHxGyZWAVSORc8tNOBC1as4qKHUpAvUobqzwxlf8DkYbCUbU7G5iad2VThbXSFcJ8Owg4aJ3Ksz8TawvTuE8foQXv+ElWI6miCYuwrREmm0Ai9TrltGQ+IemxFGcIMtyBXC5PxhuorZDW6FE/tuTOba+uSH7ThyNUK4DZ/m7ceVf3oj3vuFvsGd5jLmCcle61+Zk/zFupYEqCQ1SVWvFmJT3Pm0zpAsZlr55L37wNc+S+/Inv/6nWP7UYUQrPkZIELUxUBHo9ZBRlgitMLSk6EnwnQw2tJhFKdYX1vGyN74M9cMqbE42BBcOggD5NEMUsOirG4d6PpiWfo00OkHILfGKSdy3hGw21jZMOHlFCyAJ6Mv1WML3fYRhgKqsBAD3w0BY/MJ+Z2HMSJcEPrsJ2OFWKxTe0syLxV1fvCfoRYG8hZO6+Ow/fR5XfuJKXPeZ6+BuAPPtHMKUHkCuMO3FrteYg2l3phpeWmCMXgha3bSf2Zyj3VlpwX7bDcSfKuVAEIwdWuxUIR9dWvalQsItg+arnnRSFrX6LYi0Yl1LXMxdPY64iwJ5U2qRgzEEQXBaUzbseqrhJwH23W8fzrnwXOx9wD4s3n8Xlu63G8neBBhDwRfpuCIoowxF7lmUVWPOwGuzpIqjtv9TPP8FHB0iImEAACAASURBVHeMbKTrS6GSPgbsbuB9oxTQ5uYmxpOx7ME5zWJ9StW44lHkNxHadR9RGSIgi782IJYxXbbdOn3IS2JGgSpkJzdQxTUKP5e8vI/lTUTQyR/0xQB5PcvWHNC2dw6Pn46o6V70ngYc7z5RR/DvAfL+01qA03QJiKajdlywWGdzK2t6qF192qHJQizorSRyKmrkLWfaMGYaJGkW5O7zPoH9tJNCeG6GgMLik/G1Uf6dylzaf0tsbeIEW9/TvUH3Gi2O9/mJbhzbZ6N5b7M/DdHu7voGh/NR2ZgZ06PCQ/vA05R73xNmsRQ8yXEwrSlS1DQMcmvOLEQz5h2m44B5o+aami9T8U3BcfNtzj0hHzFPFi8W5s617O0sDkpcZM4cIUkZUoTMCltAMSQ6G290c1IvsQOhrQ/GPWE8T/YaSNgKZzRxJrkvrMNR+F5nj/Ma7MbV9wZ5ldOHjJzsnbiDx7dtu6f4UvGCcj37KR/+WdT8Cych8oBs2RKFgK9MXLQyKWATw8eB2++dfEn3vdwdjIC6desUrIzeKYN8CYEFZ1a3Z4U32YaktWdNR011jjqFQYC15RUsLsyLKQzb97w4EBYRzXzm2wnCFQ/eYQ9/88a/wlX/cg1G1TyaNQcL3m4F6Kk/SE6QdBbwPZmO+/D9Eaqa5Aotogg8IyZahRpKYQzPDYTl3bQFPF91hIs6E4OmYEzQoUCTAAvn7MIFj74QD3zsg7H/AWfBXRjE+pa9KEjh4PcTI/2QA9OVDDdf9xV85pJLcd1l18DZaDEqEiTlGO0sQOyM1NCP5mxOjSSOUM0YeJLhpBCNBKKSwLOltMR6lGJzaR0v/N0fwuThI5RjYNrmkuiSFNMiF0DRr0I1w5LD5J7CHD+WJMj2Lc0yqWz6pPOpb9PUf3bBRwcemMeZOTwEKWUGmgxSDJMkn5JIT+alVLKN5rTBdW1KuiWe0+JQqO2pxm1d2lBr9QmRfUrkUmxS0M97jcNUUkWDsv5CeX9E35HJFgslrHrzgPf5rW1iEhQKu/X0Mf+t/p/A3qZAYLX0rYkNwQdpmaQZloCxajTLIEdyWWGOV0gkSHKQ+yovRKaJl7uIMxrWUQJF2Y2uacW2QnZkholhvGEIkFnPdUHWogDf1oxF7oEaxWh/mWlmP6Xzw+pom3vXdQNsnaIm5jZ8tn6yCnNHwIu7hv1xRweYjIiA2mSNEtBTFowyyrVFPiwieKlqjhN0FgNhKyVg5qzo3XFvYpEirNHGFeowQ+llmnwIUsObpIGotrarKSH3eyb1BFzIPi6pw+z70gngs1BS5QhKB0nmI67mgUM+Pv3eT+KSv/sEyg2INARbwL2mhS+Ga42APGw/Z/cMAci0YALPriAPaT4Tc8r7P+A83P/R5+FJz3sScC6ApMWR+ggw74iMUVmVmJ+bQzHNjWGgLdBpKUWPvX7n2Qk4LsUyauiHPqb1BsLSxb52Hz799o/hA79zCXZl+wScFtkCFhPEwIjM8f5E4NW4UYBpUSMjyz12sF6uIFoCFh4wwvNe/UPA/UPU4xyH61UgdhGPCbCreR7HiPrJ3Af9wBMAhZ1agR8i9iI0swZz7iJwCLjsvZfio392CeK1BM6qh13RImqa+ph9jgBkDXZVEVRjgTZAbg2im1qx2abGWrSOL+26BT/6mz+K87/1PKy0K6jJDPK0G1CKfuxkcEyBS4ZZ5XM0MeLIq2yJFHvvaKIf7++2MEUwXIr4LBwrOC5yQ06D3M2QUM5oM8D8xiL+8Pl/hOzqDBHnoxujsoCiKY6qdBD359xIMQBpWGJ1tIGLnv+t+JrnPhqz+U1UIX22K9WGN74UtgWdYIKYEBMs5+fmvmkMiO1Hsexiy3YV485BVxTXsXqmUJeb3+rFIF1IYuxH4BvCXKdOdlCE0o1Zi1RhR3xF25Yif+FQg3zm4K3/35tR3lRinC9gBILOpTJ4jfQLr4Na96EchJT6KbAaTHFkMsX3v/y5eNh3X4i1IEczyVH5OYqChpjstlPzCHYIkslM88u58UQKZKbcuhUYNzEl51hJMkMM1LMai/VuJCsx3vhjb0Z1bYXd+SKiykfj8qQgCMr76yFsYplrZJdxvkdtIOfFZjDF8ngZz/rFH8CFF10oHSn//uEb8ee//A4sFbtVZqqkHjsLhdynCgk+dG8kyK0dODy/2fG6HK7gic96Ip7y0icj3T3DWr0mnRQiqybz2ECnXVu/iYtNMVUfY7/sSFhJGd5LPTuspIgSQ1QWgF0RBG5ZARO5EHZ7cL8vCIw6iKMIWZnJvkiWvgDOxntD5EsaF4kToVqvkNSJ6LjjCHDw87fh0n/6FD7/ic8jKGI0Gy2ChgSWeYScQynlZTzRZs+y1LDWDOgkDU+8RuV328J0z5K3n3d4Jg6YnLLt2rIz93llwesewA5Odid5bLiQPEKKbWKYybjfEf8Frs+m5rxl8arSjry4QhpMkcUp5s6b4OFf/3A8+HEPwf0e8gB487HEFymNVN0KbkytJUe6dKRQ0FC2RURHpDDlBI7kACInxeLsMQ4HLcQZ5u4Oz39l+TOn4amsVUL+m+eprmJHCiJk/7MjQuRnQnqi1PJN/xJ3Gkmhz2PXishmqWya9evqi/pqfkfASbwNIkfB8YhnvJ5N+lh7JloGvJWxsWGu7Sg2s3rAxN3pNn7f83Y2AvbedjjtFm2crTJevTyIblSM5yWeFs8jk+VL4dKY5lpjRSEIuSopSd8Lc4bLkiBGIE/Vbqgun5AQ3RScaGZrpe/kd0OmSR9wy27BXM4Cl8IMN7mu1JAN+0mGqmeKywZ/FCnLlCZtfNsx1c0u1U3dvlDbJXGGRH50RH8MbXpZKqcn9t/ZjLkrntWfd7bjR4BxM38sa5yxkEsjVxLPxMTa5JMdkmQobAMTZTGh9+ilpCC57PP89hiXqNcU5eHsjBjK4/ZrQwvy8hhbwO7if+MTc4beQnYHszBab9QYOXOo6uZAOO//tr/Xf6sz7xy5K+723fma9wpwvG3bGIfxDbNDs9+qi+ZxbP3L3RzRJEDezhQMMq7ZuvcMK5umzfTuHPX73ktGwNgxGOBb2eES9EoBQ9NEHj7K8TBVOQNMiV48A/UG0lZPQLpqc2RNDj8JkeWVGPuMyjHGaYR/e9e/4p/f+VGEK4Ekqm7uYxIswC3InFDGV2uUwhUIVXaKGOSZ9n+2U5LdUZDN5hAIj5CnDCAjtMLGJaicoaDQcVDBG3m48BEPwgWPeCAe8riHAucFqnFM8Ns4yMuGyUOe/dX8ZlROqYewRcEqZdLCIcucQWlewsup8Rdg44ZlXP6RT+Of//YSBBsx/PUEi+4eRFUMFA08v0FabiBkQiIlc/OT4yuAn7LYi3GDA+6tePz3PwLf/aLvQrXUYqXdQM1EIHTR1Lls7tQmVuYmixQMFFRbVELa01S9PvbmZc0Fj7e19b+XlGkYXNsEUybn9hOrD4j6gF8pW/Z/VpdddCiNxpkAbWa/6dJUE5MJWFOqG3evjakJQieZzyDSJMF2zehPJukKFnfj38lp8EBXDTW2/bFFTABy+ckuBmWO68dUIP+0fHVBo2raD6voFpQWs0uCH/yftMepfjiDHTLJ2ILOWRlxDXkOCl+BVkoKERxPykCA2padH2YcrcwFwdiC65ZrMnQkAGLgQ2CVRSTVmevLcTrOOl56V02EvsPkVAOmAXTRsd3M3dj231vmnQmw1GX89HxZtpcAaVKMMa7uUvRh212IIA+FOU75BdHPN8mvaK3yA4n+gSPFUdH3ixs0BMcD8phJF+Ln03munRM69+lEyzlC5gfhQcoV0Iw0cENJ7gnSMlkfUWe+HQE3reNDf/6PuOIfPw9/Sv3aEerMQ+iPDJXDyKAQHJfOH1e6ePjaLIISqRCwnGbHNc+kFlWcozmnwiOf8gh8yzP/A7AfqCcFlusVAUGoN6ydBgo8Ws3LXqd80A1wOzfRzpDtq1TkfcgQ9nx5P2elxt6N3XjDC34d0S0TRFPVsSfQ5EtRiOeAGiDqmVqjQIYoGqFufVSBi8PlMppdJS78+rPxjJ98BrArBxYapFGLjK2m1LCmjEyRIaBshWs8E2QfdAUg59vkVSbADiUGCADNNwsIswT553P81f98Dw59/giiLMLIjUB5/VAMEdn8NdXiuBcKcMz3C0PKpmVyvieIRQ7s5tFB7P7aXXjhr/8YNidTNAnXL5AXhTA8yXRlV6AY5soaZryg7FVp/xeZGQXHB027J7WQeqiRG5mV+5HSHAIGnJRr8guVfVsF9jf78b6f/0dc/w/XYZxHsiYUlqJkm/GVUI6yxBecJyw60ASVEhvnfMvZ+MHf+M9YT5bFOLMQM3CFCcWOmQVGkT2hCTEBBf1vBRQ0IdTzuv+YKlllWopNuaY7DzoloLYzCKQ0hOgG8zwRYLEVLVgpQhYBYPZbNbpSFjpfvyhqxGWID73xA7jy/V/AUrUfPkF8EgdEvoJdadogTZICe90Yp+QNuyJaFBMHK9EmXvq6n8LkawLcGq2imZQYcW4UBWrq2ElrNAN97UjgvKkqBd7sl6lpm4RWY62syBDGoWgvj5ZjfPId/4Z/fsvHpZiRlPOybiqXBqCUC6lkH6O8HedNGVQio0QvC5ooriQraC9o8ZLfewnqxUbmG1aB1z7vNzG3NsE4SwT8pW+N6/pqgM75Itq3/NLidenUormejnIUewu84u0vR7aYYiNeE5PogIQMfjZzKPS8zEEhXc677fFZL7thNbClX0HiAC3Iy6km+tgMJSv4USDzsCrYeetITElQQIpaBNHLSokiDtnv1JnW4iiJKdIxlAJHbljFv73/E7jiw5cDay12+Qtopq20ZNMHg6AF5xL/O/LYedMia+jpw+5ea1qnpAQtbpnOUiORYpnyep+Nf5GV7tpmjCmEBhPischH+RDuY4wkGH6TPO56gXQdcK8ncE3PA55HIkkodVp2u1Jaq8TiuQu44DEX4GHf8FCc9eizgb0e6iDF1JmhDSmdw04MZffXNAxtua49GUfKBwXCjFcQj7GZsMZbI3snMnHbD4feP6GXCjyprcuco2oazvOSa6SpdO/irsR/S3cAwXEDPNJ3idOJna1cs6ETw09DeLkHn/FWpR45iuzrXdDwhq9rwHGRLKDSkosqqpDHlE5jX6ulO/VxtgCSHfhp/t5p1ltSyNDD5eTH4L5n7HwElNzWqaDqLN0iHzGIXAaxs+kNkD1CvCsaa4pLM2bq6xl2udX0J5jJDigxWdTitoSAfG87P4wXgCWWEdQUYFN0vs23gOSmE8HkP7L2qclvLlX0+TsQs5eokli9M+fVMdMsYGv0oGNgkQ2N7zWDsL/XZ+pQGcPzIcA9zEFtGnAMw0q7SgavvvMbeaY+swtldDQUt1FjVjXoJDmAc8d2YWuRRXkR/B07G01xRs4E7RxQMo7p9mRew3yQ8Q69WCIC5K3mKuzs6SR7bH/4IJ8zUlN98cgC8KaDobvmM/MGcGzjVsHxqBqhIV8pcD492pe8BPtxmeOQwXTmfp0mVOTOHbA2bc8vby5+rdqsn0FRPrYJt+MGTlSjbjJzMFNw3hVGrLZR8MA+fcDCnTsCZ+ar9ZqdZK6wNUM3NA2DtBJsjRC0JVYfp6Agk1xPdDszsodG5HLncAjo5g2iIsaSs4TlT6/iL377LzC7fgp3GRi3CRKaLzEBzWokFJI1mt3CDbeHrGnBpa6lclHZTqvJWt7SqNJTzUUeskGLtJ0hQ4rJ/jEufOQFeNTXPRrnPfx+wJyhUdkYVzJ/buYMuCsgjgVwoayL6dBVLNsDMq9APYboCk+rGQLXw0I0AWYV2lmFJJjD9N+P4J2/924c/NwqxpvzSDbHmDgjNE2GhbkRVmfLCgo2oZi30cxI2neppugRikiRjmaozkrxM296Fcr9GdJJgTqiRGSlFGbDJKJ+rwLkPIj096cNWDVTvq+nD7eyowFyCwrYEFzOUaO9bJk5KsFiX3iYkPQB+/DPkqCRLUN4Q0BsYwQiwuyGFSEdEIZJLhFYH+QLmEFTCyZHYpqkoVZfgTZEWdsvYfYsTTY49lwrkQSKIuojbuitAOPCECc6GLJtVyV9pEgoYJE+VoAVs55O1w7Shc82kZcLseGkBstqN6pSKtTaR0EWAMFuLdRw1GLBLymrosuIhDyCNom0/FNqwQYkWnCTtjm6k8fqTE4TNC0oGMmZAWt8GHj1qrWWvzZw/9nBIA66g7c8+ygg9Djg6ZY5u4P3P5WnmBDfyFMwSbVO55R1UHCcrHFqv3ulASZ5d9mCbwA5bp+8h0XA71oYeAKO+5TEKEwXhgXHtSBB1i8Fr7jM3GiCtc0pkiREVRSYTyaoNyokRYSoGWP50gP4+7f/Hb582ZcwqUYiSUXGA4tWMU30coLfqoQe+B7CQJl8ZJxSHkukeFyCQyqkVQlYoiaFTOo33Q008xXK+RxPf8H34qHf/UhgUmLN3RCWiYp3qFa9fpl1Klr1/f65I+Z444hcTJGWiOIxRpsJLnnjB/GJP/0YFrMljJoJarL4W0px+QJo2ZXFK+N3NA6xPpuKwkmVOFiO1/GNF3/d/2PvTaAtu6py4W/3e59zbl9V6ROaENLQBkGUPkMJikgUFJ6/LQE1QUSR2CDP98T308eOHhVFVNCBUZrQCj4IkACRABIagYSIJCRVdeve0+y+eeObc619zq00JFWRojSXcUeFqtucs/faa835za/BOc/4HmBXi6zdhyYiA9rl6YqGQwLaSHSlgJd5VyGMErilL+cuQTta2miuAQNAgbrkUNfFUsPzaQTGdFz25x/FZZd8BMkkxC5vF7yMww+qwFw0bSU+7kEQI69b8S7u6hI8wehav40JmlUH13vfxA/80rl48JMejMloijwqJDyb1j3i4ezS01ZBZonco71DzeDLTm3B5O8Pbm9v/xMho3wDIDcu60sNx2PzTnCc16em5zg81BMHx3fH4TN/+SW855Xvxu5qBX6qfuOEg7lGeoY31xnBe+5BzC8JKkyjKaoTa/za31+EcbSFNMilWeMXSF0k9hW2CdQQMwFmS2VKUSEhKiPJTFGOlTnIDfFALeF0TeqZtMNzRpxRalRhJdZTbaQZDWQXs8mMKK0tPHhlJIQDDn3lg84frGWqCkkZYO8VN+LNL/prrM92CVjeIZffWZkgc8kEcsjY1eE77bAK+bsQszCDczcHT3/Z+Zjdq0SxmiNLJ/LMRgGHxC2qPEdA+4/AR57nMjjSURCHF2qVxz5Az1nWdBliepRnHQaTCNG/u3jZz78E65u7sFRsgJI/oRJ4Gh5IqxjWahImSmd4Zj60nfhn07rxxtGN+L4Lvw9n//SDMPOmQOZgiCHe/+L34tP/eBX2tHvgzEiomOfM8BzXBBm9Kax5RX3Cug85itUKT33eU3DMQ3cjO3aGalAiTTMBLrnG9UMRnR40NgO5Rd64/PRFlqMARep53j8HxsKEP64fAdP6gOvMMq4d7pkd2rJG1HiS38BBTDVrkTgjeGS2bwKb103x8Q98HJ//+NXYf+0m1twVjJohwsKXbB/WjmTIex6HQ+pXzi2X11Nek5CZuU+qx6vcRQuMiTe9DxrVEM5V/ZRaxcl/y/mtu699z3bNW7Uc/3/AAUXNPV2rWmW0qgqNrFTmA0ntFLUowxpTr0S0e4h7P+gsnP7g03Dy/Y+RLAoqh0o3Q86cjJDKJw6LdfBbVdRtco1yAMggXdpX0aOdNia6zjUZ3WSByMaiwDDB9J6oYYqFO5OQwvsoq2dBnegx50EGdq4MBwyuKf0Pzz5ZLb5miPhFCJ/PfQYZdomHubDHTS0twsR57oaozPhvtKxhfseoUKtHw/+dDxw1DNXaWVjgy4xFFgghd4Hjt//EunO/UkPNTbduB1CGbMShs9xTE3Ar+VvS32tIIh83etxHHBLTIpFrwuwzrPkFmzHnmjDLTR8lI0SrsuVjo1mM+uxQdSGxTPzh7INICNJQafXmN72PDNvMAI0Wi/L9hilunn1bV1tNyfzKzQtx6Z/Ma13cZ/XVq/JC1/XBA3jbB3ZynphRXf8rpEYzDYDWa5oufPOOVH/yzYdnd+59/k79aTrEWCC3CqCtqRL2HFRFslHQsSYzFnSENXzm4xQc5CopU89AvW+6H5pziFZXPANosRLxkxwAVWZzWG79uPW+LayPBZGC+WlmSDK/Y7dV93+nXnf7uvj8h64PZIAzZXpMgq51Unfovyk6wXuBM3Su/05/D7f1+o56cLzruiXsxePSG6Yv9xCc3IQepl2KbokTalpCVLrkxUPUQy3BRFbIrQXRXR9H5gpwT6rEs1ObSUo11XOYjFCTwi7VMCeslL7PGabsuHhoNhI4BXgxC/YWXdlhw1+Ds8/Fu173Dnz+fV9AuBXB2w6wFqwKmEnLk6UkQU0mtoRJ0TvSoeOqsQ3RClzZuZVKLw2g5kY+nIiKhAbjeorCn6GJatzt3nfDI899JE46+xRhlnCbdpcgjBqjNLRODjr2bhqRKyJUBpLkkFprWl/tIshKqhNOKhv4QwZ71ihn9DBVvk12IMXISeA5I1z6B5fiqnf+K45vTkA8CxF1QFpua5HQtfC6GF4bKWNJ4KUcNQM6UYm0cRwcwDk/9xic/YuPwCw8gCpWZhrrDGleBVTlnTBFjlwbPfqP5MfB4Pj8iZ5XFxYQtw2Afb1yl1ko9SFWphAxrICd72txOm24D5TPU8Fg2dcsFOXwZQfAXlrDW2VK3YcTmcJIwiWNrVCPcLIIUgDLkCfsONyksWuwnzKfzTt1ApUy2+JPwHFjo+LRK1aDGyUskQwK40UuUmGxxbAe2t/+u7gTGF/8/TsLDA0AUca4WxAgZ7CmGB9LK0zIg+RvskbKkGObTnzbvcpBKF+nXk1aOvEaqIcuQadqoMErypQzQZaGXdKzxheWuBZAeg/5IcXx4TwCi7SC27gFt3VKHc6vP+y7flDivR240C6I4LibugKMCzguz4pRgspwhs9Jp+BZ2KAIa1RJhY4DC9oYdLSNUFBTAtmkYOX3kTFJn2Fma3oIooGwoAn+OrMWgzxCVA/xgVe9G1dd+llEkwRJOZRgN3GeJ2hJVqLjw/dG4kfdUVrf1mIXIfNLM5Dx/RB5XYD/QoYd5bplQ//uBl7EoLYW42Ib4ZovQYn3+f6zcO7TH49ud41ZnCP1CK7wTauNm0gsZX0tBLkaFuOt3Yv+OTnoC3g9CBi3Oc/PAeK9MV76Ey/E2vYyojSkDyAalzYVPgZMmOfXmv/x/QhrWOx/S3hLIQ74YwT3TvDMi5+G9pgON9XfAGexRV2ioQKJNikEGJsaIQcXDGbjAUEohQBJTRaYL0xaXkc3IqDOyrlVa5HKQ5THSMoB3MzDx/72Y7jizZfD3xcgyoYYOAN4vDbiMUVwm8xaBz7BGv5OWtvUBFJpYdBgnMxQn1DhV1/1bKQnZNiKtuCPAuRZhqGTyLUuOWDmvifgM61+FBxvPdoE8HBWNdShfPC2ylCbtQODCU24lzQNlItLloqG9nVliPViN/Z/eAuvv+h1ODZfxzDn3dPngUMH1jNkkfKjNuoesdrgEDuYYv/SJn77rb+D2bEZJuEUGLCMoG2aYdGJnZF6tdpPguP0/1crKiNRNyxyCzT25GLDsJN9zXzN4lHDZlACnQX800DaLtD3yaBb2ZcZgsysh4JFjCuKHIJhvDZR6QD7gL95/psw/tw21p1VdKQbSe1lBgRmP5dMCLGqoVVOqDqdqMU+/5tIj8/wsxefD//uAfxljsk4tmkRBB7qqpDgRP43rUDU4kG40QYg5zNgBiIyHCkxQIRRuQz3Gx3+7KLXoPpSjsHWCHG7hAoRGmEWkyXWit0La1H+RD5B9JznT6E6YNPZj/peNX7lT5+Dyfo22mGLLgeWsyXkn8vx+8+8GLtne7DUjqSWkzOEQwsONRbMQvjsVF6JSrzfIQGf6w/YwE+87McxWd1GOpyhrEsEZM139v4bcFzqDGujMz+n5IywQEI/GeFzZgBkGRbYQZEZe3Idex6qopDX5/sBg7dQ1y2CMMbASxDm3HM7hBxPdw6mX5niEx+8Ev96+eew9Y0xBszGyRkAHMsnPccTJ0aAAEVdwIm4v9CKiXdFx+BCR9dSSN6fDl0tIcAE9omniMR6GgtEBcfnmUTKEN2ZKGAsGwziqpeBIByVdgCZ0QTrG1oBCeuBIHuN0cYQJ9/7ZJx29pk4hoSXDR36VMyyXM7gLLVwQgcFStRuJbUFGfdUJDAHg4NYWYrsbyxYKJTXDh5t4AxLXMF9w5Y29g8EiHumqQGxLfPW3NJD2br673E8JWYYOElfK1VGMhTmgM+RgbD6NesrpDJbli5JSAxVJXM8cxGUur/KUE23RX2EqTLtmxthMcjzWNDudDlH4dOWywBLBiSVeq0fyFi7FX2VO5Sq8gwf0QrosK7/0fzNstMYcFwVjHMlrpTc6vsjzzRreOk1RDagilsOUCMOVwSb0V7SZjJJDWAW0eLgRpSHi3iw8RHvBzjsbyxrnP2PyV0S0hB7Pfk0v2dhf9gJSBv2eA92zr2p7FoTGzIB8K1txnyvnT+fi2t18d/14bDM8UVw3K7kRdLLIjjOn7Jztdte8GheSYf22nV5zdeMlVvbfkzOErGK0v/ZPlzkQS0VjS7C3FELOhnAKIlFc+5MTWi2Mu7rQgboPci1z248ki8MNnIQWN/XZTv2basiMO/5KN66ZOTTtmKJhqmHgTNCV7hUw311dHzyazgGHziawzkPrSs4tLV8p39XxzjsvbhfvZW/vJiW5zie79SRi4pT/qhE1WUIyEwQWwidDkmhK6/kkJ0m7/T38d/1B3K6TNk0F2HYcIrKg4YTXoLmbKjUZ9w2mwqO6yGqMkX1Q+wqB3E7QDgLMSgiXPd/v4b3v+HdKL6eIZj5iFoG+4QI/Rg5fcg90mmltUEojCU9QaQTRgAAIABJREFUryU002y2tlnRlaJTQvpD5k6OzMklSKdeqnG/x90PD3rMg3D8WSfqrpcT8FbWVFYU8MlosqUnGZOVUGOE9QOf/o21MO0k2cxsxKyHGaxJ1pszZCGuwUEM6vH5PVI0uhiGA7RZCy8NEBZDfOjPP4LL3vhRrKXLWG4TBB2b9lxelss0egOO87XR25XsNEpm02aGKiyQ78nwrL+5CNnaGHmifq1kBrDhoHc/m1zas+gkVg/3HZPbb/NCvrXNS9sJe+osFCU9O3mOSM4PV1vN99zuHR6seuDa4lzLnz67wISAyPRA+gAFyPU6zcHzHeC8eJIrC1aFEsbH2mj6xGaF691i/EoeME2GYT2IL6jpRdikW2DcMMeFNSHyL7KhVba7eL+EQWWTvL7N985cbVMk6jOtbCM7hFBWrfqM+wq8WXCcAAz/zuFBrPfaI6OJQB9zltkukyHJjCyxN+A+os2XK8WxAuJVVKMe0D+OzbD6rFqZ8iJPY77Odvq78lX/pwWq7HQ/uHX47kgWV8ZyRpsivYXWb9wyx5E68Gip0hCaVem+MMfZHgs1jw10h0wk1hWqpEQbaeAvh4fkVM6DmfnMcKcmOM5RJhAPV7B/7xjrgzVg0mGlWcLeK7+Jv37xX8G9ycMgW0KX+hiEKwiDCFuz/QLAjkYBxpNtxO7QPECU9DOUzNMU+oanA8PRGkROIibKaZXKGeDFrtju5EWB2E/k8CBbedbMMPHHOOVhp+Cpz/8JpBspstUKecD1pcCMhO6aE0dtVsyY6zbu462D4xzAdRpwOR3gs//4r3jfi9+LY6pdGIUD8QKvnBZBF2JUD+X98Qzh/0QYLwBEhyZusBXsx/CMEX7+db+AYlhjv78P7rBDXeSIwhCeG6GoJCoSYUT+do1ZPoaTeGLvQF9/BuhFboKu0nvMc42BcjzXptOxPK++40uQYJkW2Kg38JHXfRRfePeXML02x4qziiYv5HUOBiNkWSE2MFRMeR3tBjIZBkRhgq0yQx11uMH5Js779Sfi9J84DTclN6Ibqs0DQ7bJCi3dArUMBbXxIWNVjEtcMpaVUa577x3/oAAsaJRxlvusV1R5xnoz4v5vGOBwA/F6Xy7WEV7j4aXnX4z1vQMsF4kwz4WZTMobmfGinCNzXAeZQiANWuTOBPtHB/DUl/0Mdn/vMdgejEVlQQsgu5cuhpnpc2g81k1Gg3puGom6ASu4R+qGqf0gzwthj5uGThnkem3kDOnPGPUPdmjbxcGr5JPoUJgAaEwrpZq2FIDrh0JKIfnanQH/9o5/w3v/7FKsVCP4FbNMCEoaAFTUUfwfN3Leq0QGxRxqbWMvoqTDdriJyeoUP/LsJ+P0x56FeqnFeDaW9xAPIhRNLg0rvZsbXh/TLSveuKAqo/Ko6TCql5DsH+Idv/82XPPeL2K9XIWbuQj9EVIypBnOyAwFGUbpmV05uQScd2ymGQrv5BiPtvGQpz0Yj7jg0bip+ibcJb3W/raPlWoNb/yVN2D8iSnWmlXJp5H7JRkACpQaWFsASILjrEXDcICtZozxYIzf/LPnIj19hgODffAHDJkmwcLao5lBvAzq9SdJUJgtaw4aYi5CLBYrX6ynersODpIIhnshQieCU7pil8LPLu2E9ZldX+Dzn7waV37wStzwxRuQlLFY1AREjzm4I8PY5YCDgZYkawgdRKxaijZDFEU6eORQraINjt4nyUMQRqepCRaY05JbwUA1GejMEaO5QtDWa7a0mNeByoBXgpRnLNQKt8bUyWVAOzxmhFPOOAUn3vME3OfsM+Gt+EBiWkZpVqwatEW5UkgdId0EVUV8zYEPh2oXKgvEmoThnlq3880J6M9sJGYDGZa4KqlkdK+ng1Fs0trLFEZm7dr3YQcYh1EAGACaRaasGDM04N4tLijiDe3IsIkWYQTFCVhr8eugzmuETij3Och8hAWZ5LSpNIgl3xtnZMYCTa65DIL0TC+8GvlyhiIolPErWUampyCLeGEs0NfOFrTqy/X/vuDgHT+x7tzv0M5d1+EOz2+j8ua/S/8jQ1lPrL5kUGttUmj5VauiqbdHMQD7DgjYINeiaLIZSTLUMv2YfVt9O6NAuJBg2ANZQpBRY8iwTbZH+vsbtYbZQtRmzLyjPuze1mn67OqHCeRcZAobucROMtZiLpY9e/Qn2CvX/4hbtFTRrzQGpgchq9oP/rcdDt0sc2E+xLDX1CoX+qGkGdjwHvHs8gtXSBuc33lcpwTKNXFeb5KJ5JKZjqgh1YfcoZe99JClECCEXLUDrLffvpBPJufxwdX8Yezfd+7jfId/mgyH2kbswagW9MsQXh6irbs2Xosu9Vad38Q6vuAI0+Ho+zi6wfFJtwcH8Avp/u3nwPNW2QhWIeAvh8i6DFWXw3fZYNiQRTnVjXTCbr9H5X07+lbaLbxilbZyUkeCM5k5GoDHZrbyyDjS+0U2FJtNlXDpoWQbXjbbTuphrd5A9x8d3v3ad+HL//xFLE1jJEWI2I0EZBRIhexzhnZROtpSEsIgTQaAGTmmOQz1ADSCJXp+kikYcSOsMHW2MTwmwSPOfTjOfuJ3i8+syIyrBh0l4PzZNZkiZmJO9hv/je/RYwiTgp5kKsqvkULUlIEyDFCwSDyiycyK9E9JS+b0koxD08jWZYPEH6Ied9gV75Gwo8tefzk+8XdXYHU2RMwgqYVUZa9jOBuZWISXTAPpesibAn7oYnt5Cz/8f56IYx95HIqlSgB5+ghyMFAEuTT/DhtW8W7Vg94yr4/EgrQNfP+7rd9dX2DZf1nY5hZCx7TEMVWKBb8Xwy/7/zbe3FZu1culTFAMBwiGHWTlfyLnMhNrBVAtyr1wpYQ4q6wZMXYQT2CTwq4kcVtBGTKCGm4qqKMFIINByFSipYgGpxlbFbLFCWWxOCSX2jJx+CMJFFkfuyM4IzTtXV9szpkjimcoME6/ZMr0fbgMfiJD1bCQ+zrDDMzICimJqTDPivuFAOT6bLW0TSHYxII54DnBUKgKVVQIOC6tmLBVteBXEJfP6M4j0g4X9HYa+d2dfYQcBIzf1rN1RMuOXtJomGcm6JqDCwuOd6kySmWYYZ4Bab5ZJhIZIJDqd8jiCnlcCjjehRwYEfjTQLS55NEOh8jurtUft/IlDCYpE/gzD5e++lJ89j2fwWg6QjAJMMQyRuEKtmZTuV9RHCIvU5XoGwsMBnHKhwAC+l6sF3QQhOJfTiDMZTCd16Boc9mHGfxJ++2YaX4VEPmhSMVvdG7E2nev4edeeD7SXTmmcSoWCRLoTMaUydQQWzFDLrqt+3hb4Lh4AGdkvq7hT575p2g+1Ym9ChmxXuigbGlYQXB8CYxZo1aIElF6HRN8o1oijWYSynzhyy9AcFaowGuiyiGG6LUlQSQfnu+ilCA6WiFoYHNFJJy2YKJv5qDaDEjYddIzvGoxSBg8SWoxf18jTNFo4MM94GJXehw+9NoP4ZNv+xT87RArGKklhwR1sTYIRLo6DD3k5QRx4BvrhUDY2vRkdu7d4el//rPYu3ITJu4Eo9EIzf4GgzBBQRDTo5cv9xQPIYMhxVblzgDH6S2u4HhGpZeEf5FNTnBcVSW82VzFReVgrduN4VaAP/yZVyD+qotlet8ToqPXOsFBgq/GfqcWhJAHLK81TdBmmCzP8D0XPgb3f8qDMF7ZxsyfwbPTU7NJ2DORWDPPINruaJjZPNRMA6k4sPJViSMyNxMYZQLMenDCnA8CSsiWp3WRggg1XFoh+TVKunv5ei2cukWYdwhqF03RIYpGqBmgnAJhCrHVef1zXwXs7RBnS7JXcFhPFrP8dLL5O1rfxXL/+Z6igD87x7Tk0KbFlP8bZdj93SfiCeefh1332hCrD6r4GIJakBTAPZ56QAH7qTxkDUlWtebVUOXgVSGSaoT/+4oP4qq//xTWJsvCeifTjCG8DISVAU1LtjPNvXhlKhTuVFUmtPcb+ripvRG4O/Crf/5rmIy24Ky5NESRryZouDxbxRVvvByf/NMrMZwMwJmRGBSxGdcoTvV75nt3eK7T9oc+0I4E5m4FW3jEzz0M93/GWdhc3g936GJWpTJglP3K1Bg6ING/60X3pq61rEx7b3VQYDMRrGGYAVvspmOHLHUgZ++oXZJlObt2hi/8yxfxsQ98AuMbJsg3UwzbBCtYEtsU2igxpFQVcxoGLyexqxk+ssuyxud+YmphDibVNsEMCowf8Pz80xdlA6ipCClkiGAGKnYwsGApowNIHVopSKYhs5KPwfDTOsVwbYATTj0Jp519Bk468xT4xxkw3GRA91RV/nqpy4zZcdhhFqZin8WzwGXeAnkR3Ft7BriSa5hnpFYOZggkBY6yo/tBhDzz5hkyNRoZ9Tp7XsyGWagnd9Bo72AVbtjpcsmbVj65ngIvEPJNI4HLnoRL0/qGAD+tinj3wkjDj9nr0Dc6zEOEZAFTDUNmkzByKAlWcNxm3PAOs39gQ1bz3F9KUYalAE5yX/inJXEIK9fWY/PAYFtuHbye7+C7v+vLD/sKGPsQqVfnxBsLAWrwt69BmszAKDUomgCkWKjys1eraE1o0sX0qOEuwedBjkI7DJr3UWpjafavHTY+2tlJfSW2FwskLjkvze/iOgt1X5C6X+EG/TREGUue6hnt3EfMkIv/xp54PrwzR6RpLHXlLoCj9nrv6BcW+ouDPLTlx8jL7eF2M+edf8+RJKcd9vI53B9gelqpOayNj7m3O3pLO0ThuWKGKxy6SgYSCVcc2lRqw8kcGHET4LTfYkAsbYWEzvVJxVcjXEbJXhnVqJg9YYgR/HPxntj7bxUv9k7OQfI7u3k83It6+79flmbbCAkl9CKU4xpBGgsZp+3am4a7kxfiRLzJcZzN2/9Tv3O+8qgFx7uui7CJR+ZfH/+x23mnF2EjRvkNZZy+HrCykAUcZNGtcmlupixLyfhQuYp6J9/18e2/Ajw8JShK7C3U+oGgN4teaWatvLfqJLiL9SzvWVFVTOEUoDfOEiy1A1z9jqvxvje8F811Nfa4u+GSsWh8R3nw5XUunn+BE6MsaQ5CL8kWtZPCISWd/69p1N+UTph1SRNaZBT8LnvY12xicFyMc578SDzgnAcAq/SbTDEbVai9BmHNxtuHn7twc0gBIOFnUkgre048SaUANCxWAhuWuUWgyE4feR0YzONV8Adk16uEmSA5p5RikyFIjoeAHrqU/tYdwlmElckIl/zeP+DGj1yPwTQyQVzm1O/Y9Gl7xwZPClbHV49HdEhXZzjpySficc/+AUyGUzRhDa9mI1ELu4MgA9lcPDzY+IrJgUiKjszzo82dPW5uzl5QNo6yI6XQ6OWj2ugrkKD/1f8s01xarzIFfVQeqH55hokkCAHBOeMp3gOlWhJps2pZd3PGwEL+ojZt1KNz/7He5DIdsUiFCW/lSxSbIbVGYTMofpRuA2/g3swypW8CZQ+003QFiS27sC8Rj2Cgo73yegtsUy4+Pr3li/iK1h58Br2VCuZIgS3gmSlk7ff7QEEbma4V0EoD6vS3yLYvshN9rqq4QxXTIoDgGYFLvW+2vFXWurErWNgabaOtK2quJDj03XPOdlj8Gbf3iTqinv8GHNfnSFUSkg5PwKegn74Gc9ICR/7eWKro2uu5MAIdZHGOalCjSbiflua87oRRmOUlXDbjDFrsWmHcDaIQ3azFsBxhWC4BNwFv+f034ysfvRbLzQqiOpF144gaSeF1eR65J3e0qOI+SNgyh9MrK3S/ELaeuJ8Q9OUeboYlNiCMz2LHAGgOLh3QIYH2AbFH1mqBsTtGfUID554unvbC81HuqTAJJ+jiVsIDE58qHle9bs32cmjguCAxWKvWMLlyij++8FU4JTtVbEuydkxTRbRtiQgRVp1dSJtMAgizNhcpP60AJvUYOBZ4xDMegfs/+YGYrW1j7E6EGUjLMp4tvf+iADvWx1ebNmW96vltswykrDKNK++7/LcJnZOvk88aYRViNBkhLkd458Xvwr+881M4ptuDMGMAZ4uhv4y21vGIw/vkEegsBURGE0tsI0Or963uwzP/7udR3rPAJBjDC3zEWYSu6tBGbGDVG1s8x8XGYu45fji2Khz2cJ/hlp1KmK+eo7RaITjuCzhO3+IOWdlh1d3A8myIt/zW3yC7fBvePg5WIlmFFhzn0JnvloMLftDWom0LAaH3+ZsYPnQDP/uHP4t94SaaFd5f/Z1yvi2w7nT/4plFfJ7sPAUkCIxT1URiKptCMrfFssqEK9pzUrUdKtXjM2FOj15+rPJ2rodCVDh55KKJXQ0rJGjelHDqBl3RIvEot2UIOplFAFJg/KUtvPYFr8XSZAOr7gocZDIEIVBaMJjRXUXL16zjA7ROrkESDm3uVLFTei0OhDPUyx3u871n4pHnPRyDM0dowhSzZIpm1DBRRe2yCOJ1IRJ60RT03/KwjGV4Y+DSV74Dn3/71VieLGOlWZV9jPVW3rCQoy98hKCOxfFeu4oCHTMR2gqxP8BWt42blr6J8557Hk77oXthlqSIhgOMszG8hANaB0maYLh3Ga/4yVfA+4aLpSBBnVcIaMpPBjv9ckVZovWZDSn0mgid72DqT+Cc6uAX3vB0bK9vohm1mLUpXPGs13Ndzyuth5R4wvqBgxmuHx1u8b9530KfQyJyeCPkaSHXNIlJieb+yqBXqm11MB02McI8hpd6mH5lhg//w4fw2cv+FX4VweG5zLq3dcUaMSQbj2x5UchYQZGsJAH7G74osbbUqaCGa1pcSiH9ucWM2VuMdEEAEPkZesZz+O9QBMp1I8MohksGck1YTVRc5CFd7QuUQYEqKJG6KfwlD3c//W449cx74bT7nIGljYH6hnORc1IV0E+Gr1Ntp5SZaWonq7TTv0IedGj49bxtEm/SSD1By0KG6nbMfSFBSwaxKkPncE5mLhzxytDeNDsLurl5LWCB8Pmfdnhvbd8OnTlqCpwFjraiglrZ7KxHFutI3W104yeRPkJQRvDTQAI6AznUzJf47HlsALzWxLLf1LxWHaaDGZqEIadUy9SiRlGvdvPbpdSd1639b+5VhvP979BrsLu+89CuwLcGx/uasNJ6UDLWuUfwwfJc1LSpkEGVBThNqLIVIwpDXPc1DeuURk7+jvV9wAGntfGx1btYnlikeb6OZXcRSa7uN6xXKju4kUBGa2mkrHLJlWV9Z1jm2sMb5YQZuFVS9yyuQdsZ6N/ZM1lfxcFrla+Hff+iTtV8jXyDfa0Lfe4CYau3FTm0m/df5LvMOTevgMzpZ9+e2ajNfqaX1WgexANfexPuWR4t6Ni3ECwX1Zqr3EW72wmewF2bZFtazZaohsxgqeWM5joWRaYJIVeBkh1uLu7f2jvaqu1ovREyR2JvZPz++VwLOF5EcGufuNVnhiclv4h1fMqhD+ZR9nH0guP7u5OaSfUbzWbxDDhOmFIeH5IVqCwBacQNu1IAKBbsHdPj9YFQl1o+WBr2ctfHt/8KWFky7xRZV/zUSaxuR9LE1g2GERsJI7FvPMRBgipvsNytwNvn4D2vfy+uvPTjGExjrNarcHJH2HJJGCOvcgSRj6oqe6kgU+nJKSQbkMCIy4K2rkQCXjV04a4RLEVInQJ5WCLYHeMxT3oM7vv4M0RSWQU5gtUAk3aMmV9IcxxXgQRMUV5IgJz+yALEaKabYc2xgTYMCQZZcbJekS1kWOqLDBdfwwHdhAW0guNSOPY2GSyyPQTdQJpvMs2DMsCudBfKq3O88hf/GBvpGoIsENam9NyWnSwTebUlYOCV65KN12AymKB9YINfes2FmAxnyLwUgTBZFBzn5k+4RMFxgl08EI4sOC7gjJwyZmLbswRsnLlNGdcDSX3JFOxiwaWexnNwfDHlWnIKauYVKNNOiT/mkJMGRz1NFCiYT/ftdtKzHczhOreqnoMZAnQbkJ62E0rxtqex7Ry5bhoZ+ulQW+XtvPZsKkQ+2DOkzGDQeKnbp/pg8N+20Apo3V4o9j9jjzBlo/X5No2a2AKwiDascQl1JDgufuOUq5vBhu2sxUoGKMmcZ2gaZXLG610k2HqSy/NeeTWKpEVDP38/0+vYl1S2ENU1Ypt32wv24Li87IP8Lw/p8hzF4LhZuPIcWWBcQlM9aYSkyOyBcWOpYpeaoAO6CjkQzeIC9aBCE1VoCY5LCB9QlSUGoyVsZSk68UCl3UGErqgxLBIsj5eBA8Brn/dqbH1lG8NiGSveKuq8lSBIulppMdua55jSAloSRApkuvSeLqUh5+NctzXKuhJQPg5iNAUVTRp8yQA12jRktG2Q7w1oGSyMOxbXtAPhR8Zo5iTDdDXFKeecgidf9KOYrs6QRVMJGeXrIquSw1qaM3BvPiRwvOU5F2B1topP/ukn8c+v+TCOyU5G2Cao/Blal5krtQwJkm6ZEczoQgdZnQmbsQ5KFMMZBvce4PyLL8B4eYxyNUflE9gkjh6ik6mSaRbF5kOfFYEsDKuUdZZITmVwa8AN2V/NsMT8Kb2esXfivsNzb0Cwcr+DeHOIP/q1P4ZznYNROhKwhVYtrvhN87zifcolR0bOsTqRQW3nOthc2Y9zXvBI3P2H7obtaEvtNYpYzt6W56gE7eowxjee45KErOY+h+w5ztdPIJB7S0oGtf0dDRAx8IlM5q5BEEYaLJqH2Cg38PE3XoZ/ef0VWJutCFDQdWwkPIYZGds4Bdx16EQg00VRp0iTHFt7Mvz6Gy7C9IQp0gFlGfPaQbhN5hwQb3u+Y2HhqrWXHfhaz1cByu0Ay1qwUFpscS/WX4bJqX+pGRUS7NmfUUw+7lAwSJVh6DyP/BKtoOAVHyiEDUHxSD55/YV8dQD48N9dhk+//WoM0hADHn1NDZcWNE6I1onRSgaNmM4Ypj8t6Ph3PiKmYnGoYEKVJ842xsEYq6et4OxzH4B7P/zeSI6J0SW0pWG4oI98UshwNRkkmF2f4zMf/jQ+8a4rkH11huXxEvZ4e+CWZD11AqTmVQoGsouPe8esloCvRM4LJ6jFm5qqwHK1xPjkMZ772udgujEDllyUaQM/9JBiijAIJJh49cAq3v+iD+CL7/qCZAAMnQFqUTapAo8flHrzQ36HkEcCAbbH7RjZnhRP+J3H44RHHS+gYublcOn/vAAy23snEIvDTIYa0SBGXhbiUz4aDWXYVGaaudC1LnyPnHhHgiIZEDkIElGMMC4g6QbAxMV1V12Hy995Oa698jr4kwCDZiQD0NBLTJAsh0Fqt6fYpkwXZQhn7aN0/G0AtUVAf6cEzOCiqt6x8LqcFDILZHVOn3VXrD7Sitc3lIEm7Z24HzALoqJNSj3DtJ1isGeAPafuwd3uewrudfap2HXqnh4MT6tGbE/I+2jLUnoOsqXlHjSNDGTV+sqEqsu8qA8wEVs73jKqn0TtGdaoySgMdMhbS+K6Piy8xoqV87zUfYck60Vsz0I5OtlYqCkt+3HH389VhIdUesi+asA4q+rq6xpT35jKSG/RQr6KObD4rEgCEvfrzEeQc5DEgYmpYY1aSHsHYzXIgSnt1LhvJpmA42Twst+hlaRlkaufswkQtiHCPVBl9QNHsnY9tKv+X+W7DMRoVsi8/7LrRBQtJgPD2qo47HdlUOtJe1wltQyvFz/I6rUEGd0czVNhzxx5IE3/TFWU5Hvo14nVink+NQvKxDOKnY/WoHZJ85uswmPRSkUtYoyCQcS85v9bCyQDolubMSoetEYyg2TzTPFnkMZmsx569nlPWBKZ+Bwo7UF2/TkKjuszoLXAvDex8yxRHv5XWVB3+H1o377z/evAb/53fcPR/3R7afVsUS98+t57NbNz2Ldoj6mqBB306fUn83wOa1PJX7JvIe5o+nJRKRqiiCrWbg6O2+G13uGj9+4puVWVbgxV5vPGIXrAzyLiIGrqr7qv84/xf/9oDOc8KsHxruuG5fXlD9db5e95eXdPhgKlw1q838hKUgaGFh9crCKlc0oR97GZYTATieeWOa68hrs+vt1XgN6cAUM0WaxziiyNHo8wSmCV7U+7j7TIUdQtVoYbaMYOojTAarSE2Wcm+PuX/j32f3E/wtbHSryCfDsX8JZBOEVWqoWETJ1bsTWx7BM2HCX9x7kqGjJEWmRdDmfkIPUybDtb2Dh1A4950jk47ZzThSm+ubUPwUogYTyTfIpgEAhwLeBJHSIsQ/gZ5aeU65JCNSdY2KmzDGMEcdNisRVqivqMCqNEQtI6NGzo6f+ZuMLMEl8r+l0JEKrp72IPU/tw2IT5M2HK7Wp2YWk6wrt/+1Jc98FrMZhoEJ0yd5S9bsEiWf9eqInirYvtaBs37L4Bv/vm30F5fI2JuwWPBw2LVgE++JpVlhzy934ngONGebDoeaeyJgOOLyzqniXeg+Fq2SPNvpypCrpKUUXmMa+vZYaLFF0lwrKe5MBU6xxbcAnDYfEhOvhcll+jr6vnFximoBy6PbGARZEmtNIfm6B4TUa0YSnx/0tDZmS6+qf1yzbFgWX17rCGsZJrA1TKejhyww29VDvBcQPpyD0Rew42Wgx0zGmnYqwAhMVvmy/+DHredmhDFxWLk6ZBQHGJDDSMDYBBujkU4vOUDVrxWm4IjvK5MjJ0+5p0mGAeVctisdfY2veYIv5O3zfvQMF7JOcatmAXAyGCZiwoRabIe6U+k2LhIKxx82TYXAV70TrKqxsUcYFmUKMOCIJyTzV+swSqyBL0Hbg+gx5cdLmDJWeIEQHQzwEX/+rFcGYO4iZCVMUCzPM5XhoMkeczYW9ocCp/OSEKgthkpLIiINhCq5BWgBCGsnGXa+pW1ljiUbGkHuS0aOAOQHCe+zkVTPLkSS8nXllqx+K6KNoK2+4Y26NtPOm5P4qznnwmDvh70QwruASot1IMkxEKZmwcIjjO4j1BgvimCH9xwZ8j/2yNUb5H2LZtVKBuU7DKYfCQ2yWinWsR6GIqAAAgAElEQVSDFlmbCWA4C7YxXrkJP37RU3DqE++H/fUY3YCapApOXmEQD5DXbF4J1unmRFa0+KZbZYwanek+1Qf/zvcUZY0bULW3PTB7KJtHp0LcJVgu1/Cld30J//iif8DSeBlxPkCCIVoTbMm4O4L9jUc7MN7fARwOzuBha2ULG09cxY88/4nYHm4LGywh49awExUcV48qWokIwZvArTzHiz6Qd+xJ1uaA4HiHnGCpMJrZaJFRrt7jXDdhHKFsWzTTFru6Ney/4ia84cI/wQnNCXArMniZe0I/33njZT0vJWhSwPEc9aDF19rr8bQXnY+Tf+B4bIb7tSmz54nxKbcy757vbWwZrPWGDZDmGUYPaCo9xDeYw/2SwNbCBiTKBnq3KgvOAh6qwuCa5wHJSi0UkI/lDMM6y0GGhs8yr3PRYlAk8HN6VtNKRpUZ5ZdrvPEFf4ni32cY1h42BuuYpWSHB0AQYVZOwbQYDjS5J2hosl4vv0kMwKjhuAUH+H6NIqxQBBWauIM/9LDnxD3YtXsdK0tDjOIEQevg69d8Ddd86cvIxwVQBEiaBKvdMhgizPsk0xWC/E0Jn0xf3h0nEJu/lCxlk11RtQWc2MFmsokn/M/H48wnnInteIKszjHEkuwphZ9SnAeUHdbzDex//wG84XlvwHqxgqRO4DQaGKpguDLHhdhjNnbZewhyexU2o02c8riT8WP/+8dxINhEs9wqO9rsH9zj5olK6oHKXJuSoa0EjalCqBo0HM4x1J3B8nUuykH6iZNXzyF0WEYIS1/A8U+/40p86oP/ghs+fz2GzRLiaoCgSZD4I9kXq5JhqHYAo4C2StxV3ca9Vc0SGLQ7L4gU6FEQXWu3BV7AApFjTl4g9sWpSguXFnKiimsRxTG2p2MZggUMFS63sN1s48QzT8R9H3ZfnP7g07F68hqwR2dqeTcTux3ad1QtgfABOiopsgoeLYBI/BAKuA6ANITe2BvMeS6GZMF/4fXn3scziurlBk3UCpuwCmjxw/pC39+imoaSfqlcuLYPAkj0pDwIINxhrWBrpsMDx81Y7WabnrWM2/kPtxQ8rveOY2GP4dsFiUHsg6g24EagTFwBCftrYNTCDK13O2RhiSZu0Ua8fuwzSiUB9aSRWwLHbQ3djxLu2MZ911ffKVfgjgZyShinyWISPZjPoSrJKRoq3HdPRrkggxFjbKg9/DyYVf6P/Lvaksq/N8aGR1onVauxj6M+RobDUn8sqmf1Zy5k3s5JVoZsJcQhs4at3Y9aH5m1TyGisMlNNoIhWXD9ylkoeWVKQJI9y1oGCUKqamQB8xfsXnTvJ5GHXzMnkWg/YlnxOiz87wyOqzrAsqPMkraDiX6F3xb4bL/X9ijsV9RmxSGLvHIQEjQXFbK5T1b6LWd2LaCwWuB2YC4l/2z42VtJad1se6VFTc7inOZOeSC/zT/E5ksRjyoDY7dVxQiLCNEskRK7Cep/i3fF/9s73nu74zizb/NLPKxfd3SC4+Pu9PTG/I+atPp+j/th2KEYNlKMiJVKSwkli2rKVdWOoHMpFSRzXBs1ssfm4PjRO705rLt/hL+ZMIQE6bFVpedmz3Bib6J2OGk1w3B1BWnZIGgGWClXEW4B3/jY1/G3L/sbDPcnCPPIyItduI6PJEzkwCnzEmEYISvJlOsQ+hpiVFPyS59n61nmMFApQzOssa/bh6W7jfCEn/0h3OOc04C4w7TbFi9ZJxGNrTZplL42ZKrUwgSJ6ggBA2kysihYLPLUtJRh4+cpk2U2W4rsCXGLjCti1CK5bER+KRYaZNFzkxU8yADlvUUQr5stCDw0zD2KMmHMDsoBlvaN4HwWePWzX4X12QbicqAscWkuVSlBkENOVz9CVTUis93ytrFvYz+e/pLzseuhG5gEW/SHkfdIhjNBAOvdGn2ngOOmyVJ2z4Lfl2W2GN9oeo0pc2A+fRcWnIB3hglkgjWFlWxsVCyTnKCHBgOaabUBx2/X4NdKRA1oPwcvlDkw34QVqrEDEBnqcQ1Q2SAp2VwTCvT00q0dW9f8uLVYpDDkF+1UFljyyoI+ssxxO/mfh4Uaiw5O8xsfIZuu0oOTq19hIBYB1h8aYokkifQEbwIFx9uaNkcEwrQgJugk11yYnRWqoEE2JDjO90/vYe5BKs9bnGcsWqto7a5trP06O+D4T9lGbwdAPmdA/Ke8gm/5QxUoU19JsceyjHH69lGmSOaFDJUWygxpNOZwAJm1Lb2Bh7S4IduOYFcl8DX7BdoseGGAaVnA92IMMBJ2Wjjxse/T+/C3v/e3CDbJRCPrw0HU0fMUSPxI7FcUplH2onwYtYi625L14AgoToicoFZBpnXgg17jAuiXrVjzeI4nw1Xu+UVH9rKjPntNLX7bLZmCBApbwu7kkIconRKTaILquBJPe/FPIzotQLNRY+akYt+V5bQ7IDA6t126pYtur97BxRqfj7iOUX6hxCt/8pU4sbwb/GxZzsI2zNE0KSIBvsgApyWEK8AxX5eXeNiO9yO6b4MLXvFcbLlTtMu+hDQTVQ5l3+ykfiI4zk9eO9ZP/GSzoJdzp2eutVaxWRR63RVMV9bxnE3Or03dGSI/ktDCtXQD7/zdt+Pzl34Bx4cnwM0DGRxzsO2Kd3SpAdPiG5lImCHVNuPRFrL7z/Ds1z0Lk+UJMidFSMYtPLEfE7mrgLsEH9Xeh3WHjCp3SJq/5ZLf8QVWVspzkcAsL4koJYRRT3Cc68ZFxTrBc+DWDlYxgnNthz/8//4Aa9tr8AkWN7SuIYNcgWh+WLuawPfEo93zfFRhg304gNPOPRU/9P8/HpPwgPgd69Bah6IKlB/MnprbbfQqKW3XhNkuMvfch1+EEmRKCyszSzCUKW0ElRm3CC6YIa7I1QMD7jODpUUxylHHtB+pgLLGqInh5D6anOB7JMGjDGv82vuvwz+85q1Yq0dopw2W/HVkDHj1yAYG2jqDK88vBy4E4cks58AqkifYbXP4niN5MpUEitJCr5L7Hg4ief15weeNmQAu6jKXkFmy8QM3wjBZRZt36ApedwedxzXToWq0X4itBa3vIWtKpGLlwd/MZ6PAxNvGGY87Az/8v87DeLCFiZfCj+i9rOc6h015ncqzs9FtIL5ugD++4I8QfSOEu+kg8gZyv3l9+SGBdQLk2KXWSTh7EEc44G5hsjHFb77+N1GcmKFab5B2pZx/OvxTtaWsAzPIJQbJoEjfZ+cONHmNpWiI2A0wmWwjGGlgvFcGiMsEYRWj+kaDT7z7E/joOy4TIkq71WKEIQZkuqfUGlJFE0rwqcZOKjiusY7ad9m9Qdy3BchWP3kJkzc1iYBrEuou423rXqc2I0ZFJz/XIYFFmfouc+xDBnGXmBRTtnEaru1rkOZ9H34fPPj7vguDe41E0VDFpfiS08NdFGI+fc81+JK2UVSfELQLa1cIHwHPLp5jHFLI+bMAjguGpeQSKjp6Kar4hhNwZ33G86wTkJyftH0Skov4i/PZsSoOBj/zJ9FX0agHtcgwtg8GLuzPzoP/v1XhmOf9jm1d9jf1wI3cr4UhwK39OL1387Up2hta+1DlQ3VfHiAofbA/YO6LOXJ11mCtMnkWyDbHfZPDBNpfNWLjSMVG4/E0VsZtD3L2zHFb4xvyy8Hg2CFch7u+5dCugJyjkgO2UNOZ80efYWK7tt8yweoCMqoCkIdM5aVqLWn7UfNSLPvbcy35aIE1bReV8Tq3w0HlHWk/pyopJcewae3/e277r2pg7re9h8+8f+IeoTYrSqyzrG85X82eJWoQ2ahNiKeNjTKZBmKNFmjWkVh7CdmJczc7aBZR1ML1sz6Oxsdc1JVzd+odDHLDmLbDu0O7g0f3d1lwfKcFlN5DqwTQd3hb/OzeIV9Z5OwvxWIFcAva4zFY3ORXicSHm5ha4dDWqw/p5DA9hH7SYo8WUTLU7+UOc998Swgzl/9oRR/FxkxUuA1ynypGkl0DHa5PSVKiJWBTB0vB28KTwoucxLn2aFpxRx043nXdSvUf1U+V29X/aptuF4MK5TNSNoAEnxgGFyV2AgWaqZ366Fl5igm+O8Keu0fTYrnTX6s01kZSJaCXgiyUZmrz2sJPQmxPZgiDJbgTNtAjfPRvrsD7/+RdOM7ZQFLTMzNA07gI/AEiP0E2Swk9YzlYQlqlKIUtaprkthLfP8bJkAFYcZI98jENxpjGW3joeQ/Go576aHRrFWZ+ijbW4BiR0/KQZAPikh1oCmwGs5FJzaYy9xHSxqSkByN3yTk4bnrROZW8Y6BDg3TEAqEWDuMiOM75jQDkAk6YACEJbdIGSENmXQROJCz2bsmRkJxqu8SeajeimxJc/D9eitGNSxjkSxqeY5owYaOZQoK/mQANg5Em3gTpnhyPveBcnPWjZ2I62BIZe0sNpHwvxPqGBUjEgMQjzhyfB7XsPAz1QJRDUwhMCpLyPrFCF+DBenzz/hvmuNwvzUvST36PBMYqa7wfdtj24JZOtYP/biHd/GB5nZZFBH+UUS4NljRwJpiI2lSq0IU9rnJuNmDCRjBg3w7GhbFnWXxOFUC1sjz+n7lUV5uhQ2+uDnc/WDx85P2YvdiGpQVNAF+8ao1NR8PDmMWsKbzZcIuPP88AFiX0Xye21yJkrkCjsjglX9jBFBuwBrNhizrheydTWYvbxevRcwqsLediIWMAtaO1qDnc+2a/38rqRCZLMIFs8cKT4CVh6JIdZCSJfdthGGT8GQRQWUR2UYtq0MoAkjJ0eg8TstH7rIPIqukw8EbwJxESBk7+R4dX/PYrkF+TY91bR5U1WI1X0KQllpyBBN0miOg2K3Yipaee2Dz/aREb8ZyBD/IeabNFGb4OIdXTn2GgZP3SXoBQ99zGx4HPIE6WhBWBIpXg1z49ZisNNWs9RAwTJOPXz3Eg2I/jvvcYPPWlP4XU4zkzlRyLvKGM33oG3/pduTVwnPL1QRrjq++9Bm973ttxUncPoIxFOdF59FKv4NUNIi+W62dGb6JESf0C+wc34Qd/49E46/H3RTkMkEmxT8Z+i5i2zGUGxwxva2YvyD6qwDgtQ3hRRNFEUFisp8w+afw8lTGl4JgyJ/m9xv+69WQPq6MaVVFiJVjB8uYIN7zrerz1hW/FUrYi4Dgtv/gAi383eajCxOTAi17NvpybBCWz01P82p88B7P1qaioyFpksBxZsWxGK/GBNK+BFsEGW5Gm9RAfCMsG4vuoCAKLbQIzOawSjLN0D1mRw4s9MPg16UIM9ia45HmX4BuX3YBhtYyoIkBOcgB9d5XRLpJe0/VXHNj4sQxlmqhBunuKX/6rX0a+e6whtp7psE0b2A/55AWqz6oFteS/bbim+XoCULSsYt3CMMqANRXBrR3Twrm0vA8g620WXPEHZ8nG68ozqhwy7LiScF3HaZCIH52DkqqO2hMgfIhEwjk/8ZYr8JG3fgijchnr/i5ks0LAV5506Gh/o6oMjkhah5aIHPT4MrSvuzHi2JPg15I2SmJ/xGGDCwIrHBTRboNgB98294AgpJksxPOblkOqVdS6jsB3WVWqPoIndaIQGRwC0Rk6AuOJL3Z9ZZKjObbCM19yIbxTfWyFVF5IujbatJbBiBN0yKoUXuhjUA+xmq7hstdfhiv+5GPYyDfg1xpsaMFxZWOZWkX8S2uUrYLjMzfD3m4/fvCCH8QDz3+gKP2KiHZGtH4y4LhZzTIukQYeSJKh7FXEYbkndhm94BsMk4HkEHB4FqYh9n9xH6585ydx9Ye/gG4fsB7sAgoXTa5EDGYqcA03NatGRvK4yJmyKuuA15Gsfo41bcioDib1U4sqBZfnQxYOV6W2FAsCZbtbuF2GN2Tuk/UeaBhy3qUoukw28W6pRbla494POR0PefRDcNwZx4ldysydIvdztMwVcSsBpDjYlLydypE8A+7qYRhKFhFfQdgFYgfCITyHNjIwkqGPGZibgD5HUF1V9anac54rI29EBjRkD7aoSdaKtb4XJajshZqB0wfcmiahr+MW/L77+mjRsm+h6FC2/aHXb4vniuXxGGz+FndEO4y3tZFeGe6e3O8Cea6VPe4hKq26VG0jBCgk0Gi812WIQ1IUrwcVkVzHPAtCDjLUwnERHNdg1wUCjO0be/boIW7id33bIV8BHTKr4nV+5iwSSIzHt9HYqhWbXT30KuaaINHAKF8X1rZ8Hf+ZE9J+IGN9m/VB41oiHXJOBFoMJtZaxCrcFvOiLMNcBi+1ssotd8IC0NIn8ffas5KAuO3e5UFQaxeHw2XBl3RtCtYkALghHVHZZfLGVLhonlfDFNffay1pFIRXdvk84NQs/IWh1Pw6LBJNDvlGHqXfOAfHb/kNGJjcTPNuDpDbLlLJUywOVVUq/UzNPBZ6kEPy1cRyRXKuONhRlZ/u91rjiuUp8y+ogJH8GVX6KzHHWqcqUcTu9fNRzNF5AxRTITjeomLAvadWmFR6R2kMvwxFRez4ztfDNfdF7gnBmx3H2Tpa3u1RBY53HENOccbshtmrkLqP5ibCIpzguBRdUiioJEs3KeXoqljVTt4NJLUg8fvvDnIcqcXKjZ1FEO+MAizWF9PwSTsgTTPsWTkW3dhFMPPx1y94M75++b9jPVuFNwWSyBffRzZnRBIZDpN4DKlkoFiNGaay8QmbqS3EjzDw6AlJKKBGM/Cw7Yxxwv2Ow3nP+GGsPngds2oT1bBEl3SYlRmCMJQNkZ6gUugx2Z0tWhhKE0WJpLDGCw9BzvBAguOit5orxRRtVaDSaEhZPGcrlAGT4WgZ5fT1UD8+DfBk6WD99cxKFnBcLR9YwjMYjuAPg8jolTWYJRhNl/HXz3kjDnx8jKVsGS7RQwOOE1AIRa7uokSHpaVlbE0PIPVSTFdyPPppj8GDf/psTJbGqDx611Ly6wlrvGT3KzYyCo4faVuOPtbC7mQHMaUJ0AkTS3yq6U+nzAL5FMNIw9JblPLZAdoOFs+Cv7TR4clRN+8U0FHet1DCaFW3wy9lgdWnBRWTz60Pr7XTYYiUyLSMJRSfEWH9G4mf5TfPGQzmCT64sTIb23yTX9zpbGlwpJ7+npQoL2AeamN9CrVZdTN9ngR4bZSfZkGjTlLldOhFSxV+co2Kz23eaTAULbTEUUEbOfEc92vMljo0tC2WJ4DAqTaaNp1+bnOk3zofQtyaGPk/9zre2kF9JM8uYQ5IGJu5PwYcJ7DGvzM1oSkilTnGTcsW9BLCTMZt3KKMuYdVCg6iQ2Aks1TDkJlGkJTMxsF0BPw78PvPuhjBZohhuyQMhcANkaUp1sMVdCXzKXgaeDcDxxUKBwI+qw7NOjqUXD9kr8VA6uTiyU0smJkVTVojcSJETQiUjjDUJaSTGzS9pQnWtTxJaglvYjPF5ktAH+6XKOCtu7gmuwbPfPEzsfuRx2O6NMVmcADeyAMK7uULXpi3sIxuDRyPqhBL0yHe/UfvwTV/9+9YTXehJcjatfC8Ej5rokrB0JIBnHTwZgBz0OGm9gBmx87wq2+6AO0J9I+JMK1y8SQnQ7NrC0Qhnx1j/yUcUQU61PZMwzk1zNYwsg1bSxtX0zRI+KY2e8LaJ4hmAHJ57gmMMPG+c8WD2/9MgNc++9XAN12MnGWp33he0g5DxtHCyCGX2NriVZgmW2hOr/Hs1/wKpusTZFEqw94gCNDSd5znP/dSAeb4WiHhgfxvgjaHmrnQNzmONkPCrG+oOFCw1Sp2xLKHs/Kmgtd0WJuu4pq3XodLXvo2rDe7kRQDRDSvR4uSYJ4ou3SnI4PSDyKxgKBKwfU7bA334akXPwnHPGIPJtEUhQDz9kPXnW3kucZ7O4u+5p1/tYTPcmAslkgufILitK8S5qcOveyAS5t40/RrfrixAGEdoUPYSNiiHeqgkSaRjF0vIjCt0vPKUbusbrvEgIz5jPYdDt72B/+I6z99A7DXwQgjhG4I2pYINsK1I3Ynmv3BJ5jWOlKXhAzGNH6XfojACVBmpShOCIBy9dLbv6jEcR9BFCItMhmZrcWrcAp6uoeiHMlrHZTymknYKv3PazM6oXUO68cRfcRz7Ms24R3n4vG/fC7u84QHYBpOMPUyuLGPsi4EOAbt+hpO4R24kYc267BUjuBf6+NlT34ZTqhOhJeTUekZyzzNN2EdHJIhz6bTydCx2W4Z3tuhiR04J7t4xhuejnQlxSwuZDDTEybMnddBr4OSmSk8NSUo08egixFx6EwpiAF2v3r5l/Hx91yOr111LbxND7v9PYirBPmMCp4Iw3Aov58WLATH2QA3LS2mrBJRwXH5lD1i7qOrUNCceSmWflzZHBwYP2kF8jVk3tY5+vqBIAkk44Fql9IvBPiO1gKc8aAzcNb3nIm7P+KeRPzR+o2stczLZMjahEbqzr2n0UBWrvGwi8RChv0G+wM34nPZiN0DWXAyFCp9kdWLGskEi+oTwwVvgSvroK6AiSVcaAypBnNWlDDFfBbUYkVtp3RUYME96/l92+D4HFJZPB7mw/xDqz0WawqpIxbUagfXFTvOIFMPSekrxRWXUiDm6xLCTXCcRCFa4tU6VBWA0Hg2yxnM2o3kGqp7uK4JjsccqJUoaa1C1aQQgSzIaa0ArR+0Ko7lei8q0w7tUtz1XYdwBfT+z5UEqlian0M719DCCrKLjXuB8eOXNbQDHDcLsn9dPRppbJvmo5n+9i/0cNaCxePAUxotfYbUDlN/l+y17GOlFzZfI226+W+zP/b2mb3OwrDYpbVTBpyFXm3mx7yfMIC37B0qh1Q3Rr1WzDmz/ubKLCdupbiI4Fh2cHDQ/Zn3mYc+HDuEW/4d9S3znmzOObzFFyhfeEvguKmSeJ5Jq84Br+IFFiCntQoDtdUmUgFycZ6wgx7ZhGgJpTVPTQWMsYiS/B3SKq3FqdElG6par1I+kj3c4dxQISCwxpJMLx0GUBJEXCUq6aQQIchY+Dro4vYjycnJhRji8w7ZEkfBx9EGjq8V1xc/mW0WvxVW4XHE+2YrKRq/QszpjvRfaohPOZs0Q0bKRvmcHNLSILF5ps8VJTJayN318e2/AnIGiUxXyLIiC5XCkm2woxvUmr+Cbm+D9msF3vCCP0V5bQ1vK8JqsEe03jVZJGiR+LGAFlXO5lKdy1mGimSKfYrTqAw08aURmmZT+Hs8VMfmeOxPPhZnPe6BwtLddqfCPknriT7obYMkioRlVJGFNxii8VzMKnrY+xKsFrLZKD24OeAJa1K2WH0vlAP3IaNWkqxDADY11UqNMigNyKwe0zwUe2sryxqxh7sxttbCkISqBlEUIytLYckR0Gn319jlHIsPveKfcNVbPouldBVBTTYV/VE1mJbMSTYpbFX8OERaT5F6ObbDFA//qUfge37+IZitTpF5Y/2eliFZjnir8jcLOC5+q1rEHpGPBQm51mV2AKbNim00uVlLIIxMfwmSW+mdyu6s7YPi3OZ//VjXFP/2Z5sANNMqKcV84UMHH/NE9LmXnH6RlbxrQ8Hml+FllN0e5FlGD23DEtdgD/1QJoQIwAzTUNlIPXx7M0Bci0jxsu+9ac0XGS/aI9Vc2OJa3ph5bYKfis9bIF75dCmjzF+Amh5E5AsX6r8+N+Jz6wirT2x/qhZhxvA9Y4Jrku61Ea3QBA2mS51m+hEcF8m+sR2yQyyj0rDFvzI8dIXo1bN35HDX/rc+e/qvuMWO9Yg9fXI/eI80gJNFpIJqPiXWBMkOmsWIQKMHx7m+awkwo/d7ERHcqIVdR3BKmL0CYDOUuUXkJQhnEQb7hnj9r78W+adTrFZr6Cq1zhhFI1RVJYGaZAznTYHYi4XJbc38recjwVoyFcn2ZrhyGRWIdiU47vTjceqDTsVJ9z4ZyVIsv/fGa2/A1Zd/Dl/++JdR7a2R1EsIqghhF0twXV1kTG6TsyBABJe2DF2NyimESU6cKCMnO2ngnxTiF159IbLVApu7tlCEBUL6swvr+tZ30FsDx5MywtJkCa+68JXw/jVBMlnR0FLh1lbGestVYI1gJlmkrYLjN7oT7HrYMfgfL38SmmNrbE+30dHCK2pROBWyMhXPdrdo5RwmkMYzWexVeD7RHsHsKSr6MN6w5vnQZ0rtn6zPpn6NWqvwT+47Uo21ZBe3WJmNMPzGCl5y3guwu9qDqElQE+inMqshS5y/kXebNjih+qB7KSbxAbSndnj2638Fs+UJ8iSTIYvrKSLDV0pbFQXB+X4cRGL3wxLi0MFxuwuoXVkt18BapPQ+4HzPniNWAW1Xoq1KYQyHVw/xime9GvHmACP6qxtwPKdyguxmnlcCjrfwIgZ6dtLY+12L8WgTd3/KifjBix6P7XgLeVgYgMg0+YZN2W9Z/WFl1phpFtUDWbND+t2NjwvDWLnf8nmuQgFVJbyzxye0gZfvoiKe3sGRMvjimuxx9eEhKF+xhkpcpE4GZ+SJjULoeIgnlfha0xoHBMhvAt7y8rdi71U3YrlaQkAgNxxiWmdSu+l9s0Mznn2aKaQQmc6g6UnNQWfg+8ISr+oSfhCgKAhWq31IXpdIgoHY7W3PtmVYxAEB/cSpDGRt5Mu6acVCyXHUnocKgIqqw6TFZnMA9WqHsx53Br7/N87FxN9EQ6lF5GH/9iZGa0MUzQSB58EpHHgM7uUMomnhlw725Mfikmdegn0f2y+Wd3z+JZTO9CscjNABnNO3HFO1nGi47l1EgxG+6d2IH3vJk3DCo0/AgXiC0qcCRW2Q+KdWGeoEHjBUmNsQ9+TcRVJHCEMP9Q0l/u1jX8Rlf/0RlN8s0WQtEifpgWGyyWM/RlVWsh/TMoo/NfBDYXKTkCIqyv5UtGvPQkU6BFVieD8qUrsDk/dgz1K1XjGfbLKlZuaeVcvAdNrNEOwKcffvugfOetRZOOUBpyDeE2noJT3guceonk7Vw1RbUi3UUBsP2QcIkukal1hIGfoRHPdDDjeZDcBtTfdwqj49Bub7A2wAACAASURBVLMVDnwOjESBNgdhFfhSFYJ9DmQPF2ahqfOoQuJ7MXYh4kVu1Ku6Nxi7BkmuvCVbFf0536o60Pt86B/W1k7u0iI4ftCBtGOPML9QnkDbs3HIxuEIQ7gzB3EeyFrj4FqssXQGp/mDoPKA+yWvqe7jtFRrkhpVXIhPO2tiefNG6amqJGvjpYpjrWv1HLnr4whcAVMz9795B8N759oVOyVLJrIHk6y3nfdO4MoFlLy3NzEqV/ZWfcUr4JzatdgP+9MI2PGnS7infMzBdT0vlGUujGCr/pAhsVpqcp8is5zP9I41KGfr3CrwYPsO+zrs3+t7sZ/6ey0VXmphsUUzACprFKMSl96v9ypfYK2bXUHf1c6ffQRWwBH/lfPd77b3gFveI60sWPEiDVpWPEDwA1GMEjdwROIitp6WRS5NpzkIuPz8VjBHWt8xb6KV4WxzM2sV3dPnZN3D2buP9MXXwaRROMpgmwN8DbonsS0qY0STARjC23rNZrQev9Rdc//MWXb2HenXfnt+/1FzqnRd52KMB21/ffxKp3IfQrsDMs7SpVyk2BFBSRMOJWErPssjFrvq87YIjkuoi3i9cWnedbjenoVyy1+jYJEcQj1jRUsWE0Fgjj7dxOcSIFNIy6FmJciUBhuJlHiFMVyNTMEYe6+6AX/3kjeh/XqN9WYDQTlETekvwfAuRxA6aKtK5PiRFwgrpSZ7z6XUV4OBHI8GChnKsMR2O0a8Z4D7nHMWHnP+o1CvlKio+g3UO5QSe9Z6Ipkic5Ee9mS6uJ6MVHJh8bgi3/ULV5k4hSdyTL9U5o8yig14Zywj5tQMff9kljTLBMdpXWIYsEZOJWWDAUFlDXPwM8c0RRUhEkUeolUDH7Fcj6IssCteQ3dDg6v+/tO47DVXYGW2DrIM+XPof0iWUWi84jw/wHY9RhIlmCHDLMjxwB89Gw9/1sMxWd9CFU2l+XCbSMCRwheOGGh5wZ/X9b5a1ivxlkv6HYeAKcIVeJxvQfPpe19i7Fh2KqPaWXRp82XDE623rZn8skmnSl3AcQ3dUA/kORvFNnd9PWaYBfOOY+EXWmB8gUQuGQdStet7saEvN+tYRHo394Rl886iqKb8l5IszwFJepJjZALk2PBJw2zDWsW3l+0AmzXSDujVb4eA5p0sSnBNASWtmAGGenaHeNkJFH3EmotFcFxDbYyVTeML6BpWIdopVQ60TuKeYJ4pFtrSaCkoxevVhC5A6TV/aNUhzAmOK0t1nlqjbFeyylIGcg74T/Rs1Wuon5blpiCDsj/70UMPQi2C47fcnuqK3wFQGRasrFh5dnbix7e2D38rcPzmP2XxmTrop5p/0l16YSEvFPAWTO4bjoXBgH3t0pYSxGmi3kpFmKfCCtZAzJv1JKw9rR+jS9Yxdf7qz0qrm8qwB6Vx4XlBMMnTcJxRuyR2Kpe8+BJ85X1fxp50F9yUT0Is4BXhEN4HsUTx2X7zRasckixQ/jx6ABZBIWDiTP5Mcey91vHQxz4E93vUdwG7WBlweNIKo6epahDfDoIB0q9M8KG3fgif++Dn4e73sNqsyiCUABZtV3gG6G8hYEeZIdlvKqtk+GVaZchHJX74OT+Ce553T1y/shfFsEBAP0MbHtVL+E0DKM/sQlO3wIzi9R8WCYbby/i9Jz8fu246HsNsFY5HFII2JI0GCnoeyqaCH/nCoKQPLC1GxmslHvQTD8Z3P/Ns7MVNiOJQzoZpl8EfBijpZVy3SFqGHyorVBjYotTgvkSAg0xXfWaVSaN/yqs2FlFzWxVtjtULVBnAMgQjOEL1Vewi2vIx/GKMi3/+5RLKGRaxnLk0RCA4zrutxnkS1a2KKr/AJNlCercUF73p14VFXgxyHTbylQio72ggnKlTxCdfBhL8+8PLXJDqxwRt8XkiCMmGQX1FNSSM4HjV5ggjqs8aLBfLGGwv4/UX/hmyz+VYnq0gqWivQRVDIdc2MGw2emAXZCA7gQC0/Kr9/o3IzkzxnL+4CNurm8jC3DB3Tcu8AGxZj3E9oHTPkY/en1V4vPPkYXnuYNhSBMcD+ZTz3jaD9hDmJlwTBOyQR6yZXLUrqhimwn+T3FtgAIy7DO6Kj9wvuU0jzhuRLVclENYDuLkHHAAueeE/Yu/VN4k9HVnrjauBlAR9KeEPtZyz+gW4ToSyq2RYTAeeqilkOMV6TyTNxgZPbNRIuGDNWOvukASxMMz5fHBNuT5BU6L9DTxh+NHrWsFtDnPSLkWVFBjHY5z8vXfHU57/Yyg3ZpiGM4ADubLCYGmIvJkh76bihS52OQ1tJYA4iOGUwPLWMjbfs403/+6bsZIvyyBAmLKmlpEsgS7SUZBbiI2IR4VkQ8C+Q75a4oRzj8cTf+s8jEcTZGHWKw/VD9vWRGzuyYL2MMQyAiouvt7hsks/jI//8xWovlHimNluRBl/F60C1YJMPXhVecm6V6+hrh1eKzk7PGXZMaxsDourL51livfhc7LgeG01HE+GMsIupwJElSU8hzlAkkDGgH8WUhff4773wNmPPhunPuwMYJ3BpCnqUY06qmQAynPGdzngoNXS3A9YFBMMEA58lFUpgxO11mFWEItCwPM9sYgRP3YqQwUIcyU3gLUDAXKvYLguB74c5Bg1qLGRULDXeCfKvrYzO0Lrk1JtPwmChRqsXkkQsVolsvYQOpBlY9v6TS6yhcBMZSz1kRkG9cfroQcK649YqBUWaoN5Lo75qr6uNLNm850SOsxT0OPzQi8uzisdxFkogbNk4avvltoycl/mTdNhjniqyLXowfGoROWXMliQZWhVnD0AapnjlpRy5OrXQ++b/2t8p2KJNmzWrqZ5vay2JKpcUnDc2Cn1S84RH/6bAeRmoCar05xZcnoblUJPpLGKYLG6mK9j+W/rfU5bJtNoLPagFhwXZYisLe2xFRSf1ynGl1fXcJ9NtcA0F7axxUEsk15fS5/vYfuHxXJOtkRaLnHf00GQhF5zLss/xd6PrEFL2lnET2zLtkD8WGw4+75i/o7tJV0E/PTvbM2ws1zfCfrbPWC+Wyjqs3Ogtriqb61nORhwPHxweOfQ4449Wapq4tkhRmAS6kqVmqquJD+DN0DC4cge94TMEhgSkMqUtQ9XpZCxVwlaGXp07GvcwlgP6us8WCV6e3vAO/a+vl1frdgq6yRu6+LB7pVSd9H+NK4TRNNEajseW01Q/8vwlNEFWMZnHIeV0Hf2x8Fr9Tv21XaTbk91Q/08pO4vkKQ/xha8NQ85PZFdZQPZN9P7NtmjX570HgYzT7g5XO+aOh/GPReBtRRsQccAI2VJU8BNb0iVGypUTjm0FMEm2IuNj4RjUXbHYpGSVHo2NS2COkaSLWOQDvCV912Ld7z27ehuqLDb3wUnpbNhjLzpMAxHEh5WVil5IvB9MT8VCa3rhuA8RSaBXidehVkwRbNRYemeI/z4s56CldM3kCUzAXyJo1qJtQ3fUHDMwPym4VDFlTYKfH9BZ2xU6I+auQjYTIo/K8lHxiLFhGeyOFe/aDb1LdqkRS6yWLLF5KSaB8eZu2L7XAsM23qWL0eABw6Byg5DrMgUPS1mGPkJBlmIq9/xb3jvCz+M9ckuJKbWLE3QCBlobKTIvKHUOC9rAWeZOnyP77sHzn3RY3FgeAC1PxOGM9pE+C30IOeH39Jf0kFHppuRic7BtnmxsKP4NtN/e6jyMPI1qUiZOEZWK96EPHol98IwsWnypWRhLUXMM+14ETo2JrzUDZtRZQMQBCIDq2OgnvgV6qflOtk6xdRN/d7R4woi45YSp/9DDrIFgEEGGo4Nd2VxpaB8729nDk7FINW3VKxSJCC4E3DQGaonJQcPwl4zvqjqU0ZGqm0kdFhiPXdkHCW2OyYoTSg5him9g+Fs17D1yLTrWeFRDaQ7MseAvY/C8uP+0HE38RE2EcI8hJ95CAu1CtKu3STCS8GtqoXCyeEwNS1UdpJEa1L6VtDO0JWfJd+veWtqwxK2KFm4RDXqIEdDSwQhRmpwjsgc5Vm0QMG80JXq1S5g7dyUu2XXpWGGWCmdgej6tWQHM1wj8mOsB+G32IVv7Q7ZcN/5IrVN9Ryyt9i2LSPty9fwIm0uCRpYL1V5nsVTtSe5LPhJK7DJ60DAzJk4GppKOboJO7SyUbkUfI5YRMrGT5cbWpi0opaRAO0YyLsSySjGLJsJw9OjV3dDz2zjZpqGWJ2u4Yq/vRL/9Np/wmq2glE3ABjAGY0wy6dYx4jO5KidXD2YIw912SGuh5o1wMBNd4bNeB/y9VxY3E/9pafipPufiCooJMiVAKqxwO2HF7SsojKHWZvuAQfXffga/MPFb8XKTUMs1cvovABtWWPVD8UyI21LAewLt0PZVmLhJUHgvouJN0VxQotn/cUvY9/GFprdDaqyEAa+gi/GXkgCd8XvCbQO0vtlbAj6oCkPS/kQ8Y0xXvBjz8fu2R4MshEcBkN7kbBeg8BF2Uzg+TpoIPgTuANkYYnr4xtxwR/+IpYfGmEyGAsbW/cfHRBZ8Jvgl2Y1MAiR/84znj6+dGtv9J4Ls5w2EPTN5qc+pxIuSdsVp0LTqrdo6JksjgYIQfAkgueGyJtcwP7r338d3vJ/3oyNdLf6FtIcoyUorOtHYxLNGcBAu65BsV7i+hOvx/P+6nmYrRxAEWSoiwpBGIPxrhopoVkdDBPluud+q8+FCbM8hCrIQlfzc1t/tlY8ena0dYtBkmA2myJk+GrTIUECZ+riqks+jQ//4UdwbHkS3CxBR2VaQB+YDE5TIg5jZMTxxLKA/uVcAw3SJMN1oxvxi6+8EMlDQkyjiTC8+exk5UwGDSJzrRsJSNIhtq4tDjdkaMRnl691YRivr5nXSRn+MhRhU2hY5Bx+ydkqiLexbzFDRY00JkPZZHjY41MJpfJMUilH1Q5lggF9pHl9qg4e2aVT1nUR8B/A+//qA7jynz6JFX9NglWrtBaVRuSFqHIqBTvxkK4a7lH6WmTPMfuxVBIGkLGMYQUuDWihULCAuhy5cAWUYoxUyf4kJGOeNxxcdT4G8Qib+RbKsMaBpW2snr2Gn3rBz8A5hsMM2s4R4DQgncnAsFktjueiKiqEXixe7mSKj7IRsA287Kcuxuj6ECvtkqgZufcwF5R76aq7JD0NX5nnucjaTMO/yKT2ZxivzPC8v/wdtKeUmCYTGQpw32T1TbY3bWmCNkTcDOBlMcZfHeMT774SV73v0+g2gVV/Hc64k6BU1mAKaWso5vx4syQWXl8DOBlbHRnct44oaBRcUmBc/Hc7VrmN5pb5jgTSis+2R8sntSUkkCoBx1UJJ3KQORmmzgzdaodjTj8GD3jM/XHWw87C/2PvPcA1O8ty4Xv1tb6y2+yZNAgYUKmGTmgiETxw8AhYgShFFPQoJXBELEcPXoB6sCEHlCpwEEFEUECBUJIIByIlgNIMJQSYlCm7fGX1tf7rfp73Xd/aOxMge2Jm4J8v1772zOQr63vXW57nfu7nvr39LpNqYcdXAiSVOrcNc9hKPR1r+S5Su8XJp2u+BxqZP9rnaqexxnEiGcYCe0n5K0hHlNeQZKJHpdZfjacC9e1NYVBCVyG28DncS0u0lBmit0bcIA8aZF4tXkgtySqya/IzLXPV7B1CUmWMZkFI0w9gjVdNdnKTx2/HKNr38MpuqMVDgveejSKMYbm/0ty0CBFz756zo1blHG1oag3qhKVpfhgL8/7SkJPSKvRV4PtJycqG32ZftR9+4vrl9nBQfBe/ZDd8shsU3Rm3HgsK/RadD+YN7Nm0cyitSef1B3jnJ90QBNt/fQ/Q7pEQhHluEExhgUstjHucdrgyxxDpMQuGG+axkmrUO0KbUU3hTBL3Lh1ASyNHMdTWHFHzDo3B+O9i2yNFNAOUi56q6cD0IPm7lXKxe1vHrTfkin6OK6deP4eWa9E9xhCnu44fu8Z2vN4Wp8U8XI3abcys72Qykb6RqIkrjt0deXydLzfF0rJoBXEsRR6M94XkxryHNBEP4FE2lxhPzhzVxLEcP+7lZInz3pD0wdiGmHpYIE/myAIC5IxJiE+QZMDbSi8NJfH0x++m+D4313so3qNEPSmWCMGzlK4ejhzzwygbAFMHMQYo6zr1VoK/ik73nucMnatvruvc6+ecGFTkRl5t27Y+DuG+5bXVX7ipdwe2K6SjCYqIkgTH1xZ7Iy/l1NN7I8CtpGHlVJjI1CA0jvNiwGINvPiChVyIFNskEGQ7ubaU+4ErLe5pOkfQBlh3D8A7EuETb/4ELvm/l6L8eokD0X4EpU8sHMN4hDQjKMtUoJIki4Y9VVMgr1PRGqWpEltnGVNlToZqUKJZq/GgC34Id/rxu6Dy5phHKQoGYmqdfqMf0pbFVLH04dGIMwsUKBLkXMFxBXcNu06Ms5ngsO2mQRVXyAmOE8zZw0MkTdi+U7RISiZTPoo2Q+KFSPIQn3/nF/HPz/0XrAs4ziDcQU5QQJhY3MAI0pKV5qBhay8TjrjC+r3X8agXPRIbyxuoJPnjSRjr81waGJExGGpbvMsOjMVpv8Nwhd9pV2Xa6rtKXiH+JMp0PBY4rgWIhXarJu1WWkQ35oY0UZlHTOLJ3KNuqgHIpeKhLLPrg/R6aTsAQLlecyO+CThuCOyGHSnHm+qUibbnQuNO3kk0441pJFuF2fbrN8p6pvQTtRYJOBng3mrVWXCcLBtlg9lxUHamTGwZXiZnCnQr4M/724UoXVBGho8y0PsyE9pDc5MnV9/mXO6KHJYBT3C8pVZlhDiNEaZqECcsZKFzWPCQLDSamNXI/RROTJdFKwMtJWzVDM0cDNqBJLjCYhQt0FbuAR3Faf7UJKUUKbQYo8C4tRBbsKd6gbMYtGo4JUU/y4gxc8eOvNWRt5rzMq0M6NRplBojst0srW9z+LrUeDe7WIGrPnSn72gTmUWqQFkFa/wndmhmPhk2nGHOy7ozoKwAodKBwTXmw8vYamjBcXPlomahoIHcNgHH1ViRc5+svyIppDjRJg7mRYowCAVHoP6rjEcgZVf4pYfhbIwjH97Aq//na7G6tYaVdgVFmsGnaZ8AGQ5GXoiimqJCLv9BZBR8NJWLxI3hxDWurQ+iPDPHeT95H9z/cQ9C7s+Rx5lhqumOxO4SJvz8nrwOejmQoeiFAUb1ECsbA1x50Zfwtuf/LYazEVwMhGU7bFqEhgXVuqHsswWNnwMPDeUdHGDmTLG9NMc9f/Y83P/C++Ngex1cSvu0LAgHHThO1hABIG0dt2ZPC9BGZUl8jNMxnM9U+MMnvwDr2RqG+RhenYCiDPxs6jxX2EYYSE0IVcn3ijENM2yubeBZL3sGnNsVmCRThrJGy1n1fwnoiOiW3HsC4DRINFriognL4kUDjzqz1PWn8a2wuX0tIJq9iXrQfsDiCzVmlS2o7avESEP4ZYQ2dzEIR/CPOnjFr70MG5cfwVq5H0FKbWBH9Mi13LwAxxlrSCus4+PI4CjWH7kfP/prD0O+NkUdlmjSRoymWaRQKT1lHlNrnHtnSdBJdLN119zLY7HCdq4v3QoMWYP5reOhLioMkyGqohaBS+pcb39mG6/4+VdgffsshPkq3MpF6OXwnQJVORN5oMaNUZUQ+Y+AzP0mF33+r8cbuP9TfhB3feKdkS2lYO2BsQaTE7KNqXEuAF2h81kSPmGqMbFnMcbKrDGZ2SUNxntkGHU8TwUUZ4xDCSAC5dKK7ndsN1Gll+frfdWN1vyWOpqef3LO+VogVuJwKzESWUZeEUgniF8FwDbwmYs+h3e+4Z1YaseIqgjVtBS5F4Lk/JyyKkXig2xqe/f4/UlAEJiceWpP3qwvC6FXpgC5/ZMy9ahnz3lv9Ggp5+NF2Cg3EY0THAk34N8+xJOe/wvIz8pRDnPRtpd4aEervbbKC4grshlEERwEZYhhPUaYxcJGfseL/glfecsXMNiKRArG5ZzIS8Q0lpf75khRiPsyYzPGyAXm0v048TP82NMege/72dvjcHMNhsOBdiNmBWI3FpkrLw9w1aeuxIfe8f/whQ9fgWgaY7leFoA+rhPppqNojIHFRYpEOnsEpFl02GmnmmVxWgkTxiWMGxVAJyudN53yKwR6aVrM8S/I7mbMSSCAnUE8p30pY0oBlJrf7LLZf+v9uOcP3xu3f+DtgdOAhr4rowZTZ4qKRRXuh8aXR+6POcxY0Ntr/LIbuLPnsG2rl9ykCaUt3KEpOFmDNWWGTBebVOnUnLOhnJYpuHHaURaM+41W8qhTRPZ4jTKukYX8sd3NpSjv8fkcNzV90/iCv7SubI1KdR9jvsV4TmO+vX//vex5/dcoOO4ZcJzsfPVKIDgezRIE81DXs16qDIgUXmV/WRjcMxZmFy1lctqYRQTO9QoF2z6lA0ejLQ1g7I8JuPa4dx/vdz/1+u+WEejPJ3sy9EghPc8OMbMWbFxPHMY+3NPZaWI7HISMJ3VC00XM89MYgworfVGnM2tCp3Rfb111xo1WufCdjNeHMMsVNLeeZPCUiKByhSphp3Vaq3VuY3lLKLNEH/tbL6hfFNVagMadcj6aa+ZvyaQNuM5/rkzxTs9RO24aUy2yUBMRHTPMOtHguMnt7E7KHEVAXgv6836S+KPSuZqTBohKQy4g09xncY9IFLmZdDpit1kr4Hg2nCGLcuQkBfFcIMheM11V1vru4sJ30qrSPdkQDzvJKy1ccxEQ36PueFQlcGbE7hx4A/fz0XrwdBzAvziOQ6bDSfv4TgHH19Mvp7/ZbLVP8ht/SdpQ1mrM2qm0UO/VUOmkvSvfIRcmwZtJMAMGg8Ls1WBNN5eF5mC3eco+uQj+2oasMgVo14braI4C0ZEQn3zLx/H+170XyVaCZSwhchLk8xye40piWZeltFO2gYdZnsJzfYRBhCrnc1oMkhCTYgtTd4p8XOLch90d5z/+IcABqKN9OxVQRNhMu5LDb3f4FRyngQ8riiH83Feg6FuA4wTjyJ5Urd29g+NyUJKJVQFhPlBAx6+EaRenAT73zi/i3c//INa392FQKTBRsFVYNH0J3GvCXIuOuY+8LeCMagzvPMBj//Kx2FrZROFMdX21BMcJepExSHBc0UhtH+8fhra11DCUbQxrg9j+jsOPlXZYHXFbqdZD2RYVlL0rY82qrJGY0fiBzDzTzi9zT5MLa+zKhN1KkNiD295brbIv7vTu/68XZKL63ikvztb2ZRIlKNisjOC+m7pOc9HBtMCABcYpsE82p2WROwpCdddmjGrZrk6mn63q8w2F0SRJmwIYCsEomNYBEMJE6DGgRMObo6hsTj5PmD5SfDDmgt/upL8Jn2fBcWXA1zIPhDleKjguzPEi6IHj1pR0AY4XYQbEdNhjQU4NbAT/pwZ27iKpEzX01KqczmFqf4r0VgEkRt7DtjUKOE6tOHZ4aBS4kx2j7yOjKUGtUsj6LZT9+6h8dDvBJa1Xg7Re5LlXFtRucK4/m3cts52T3cCBVjJGx0WLAhpUG1IcmapcQwKmWZMa1eBjvk8df21DpyY8WXXmCjjG8hfeC3KSFVDnjeG8q8jYT0rUgxK8f3mVw29jBH6MvCJY1yIIHLiZg9EsQXx4iBc95c/QfAVYrw8gKmNuHGoEQ31tKcRmIqsVJxGyvEDbBgJYsI19gglmySYG3xPjMc98NNbuvF/ks+qkRu7OpThCeQ3eJX5XBUWUWUx9bprtZHWFoTPEcCtGvBXgslf+Cz78lg8jykYY1gmCnDrfBIlCFNRadnyxelWpBup/s8UywyScoLxlg2e85tmY7U+RJ8oIJeioDF9do1r0WvgEKNhqO1NUs3tpPsbhS67Fa37rVVidL2OYjxA4Q7S18FJQcz/3MvhExgkisqDkkGmcYXraBM/+q2ehuMUMs2gmKuUqP2KAeZddj7ovSRFbjCaVZatSRkRjG5UtEgayzpkdzFPDUhL2LgugLDh2slUCvwkA7M98jLZXcNkbL8Nlr/8IhpMh2jmLGomsL543hN75UCl7A8SKTnSNreVt3P6Jt8eDfvmBOOJdI/tB4iXIiwoV5aqE6qma1aKHTRDRyETYro+9bGu7g+d+7meXN2MUyp7xmCATnFI9/Dv/PJ4u4xVPeCnST5dYas4Q+RLO45BGlvlUZC7g0UyyxoAm4zS0rDJUUYvroi1EP5Dgv7/sF7E12Ebrqzk2OycI8HIt87NFHkLOCZUcEnCc4KWc3+pBYtmc3bEm980aI3N9ExBXg05rjMz1LwCAaA0baY1+4m9ABEeSd2MuZthwInnDPd+vESyH0jHCe03z5XqjwtAbiMTKVR+9Cm955d+h3WwQVzGGLHQy1mpptUmvAdmxZA+wJodyJWLgy1Z7VyRUFvvx4uxWQzSyXulbQ/kVA1Jyr+OexnNRVfVRj2pc518H52zgF5/3JAxuG2MSbgkjTIZRwFo18pKuMX534x1TOdS19sQPgYXzgTtAyyPLGWDr8k28/pdfh9WNZYkhQz9BWtcIgxge4zUW3MB9hN1pnhTT83om3gBTJ8PSXddwwYt/DtlyrgbwMyBxApoc4IoPXIFL334JrrviWkRFiBEIiIcoJzl8+Bj4scictA3lkpSdaCVOJOoxskc0m+d3kzhKoSEZbQHCyQ4PXdVil+291rkdxGJ6mRU5ht5IiosExsuoxLazjYm7DXfFRXJGhLs/+K64w71uh/XbnAG258ycFN5I/Xhm1QxuzOvTvVnjBSuJp+Os+/beilv9EHDRdWBZngpuBSxP0FOjZBcFC0VaINICJa9Ju0O1E0W7Wng5kgvxzxZA9wzgG/D8a1HFPFsaFC1b3LjPau7UdTiYDkU9ky1Qo92DWowxQN3JAo6bDlKeFYzfonkizHF20soYCKdjFzhuxkq7KNnFR9a46rRXfo2SGi0C9PUB8j7RZe+Fzb3s96de8904At8cHL+hbyyRfONKd85Cs9wE1jxv2UFlO9eN+5f9dQAAIABJREFUhFln2isL2uTHIt/BfcLucL3GFsaCllEuyLSVflxIrLD7RvefWrpQWIzVoqyaJVsQnbGd5q5W+k49D4S0INGiPiRUssB2L0m2OcFOgo1loV8/EjoW5L34hotR3fvOfRPNRT3SzNlimOOdxCZjF5NHSxeRL4W/gAxyFq8F2eagUSK3FVNPnpUih8tiu5+jGGbIo0K8VoiJKSGU+IvuXep5cxN9l5v9bXTtyH8s/EhBhXOOubPpKs19jN0lVJvsXnVYGM+8kfuawRnx85yB842b/ZJvxAee9Lelbdug2qzuNzs4+3Mnc+9MhoVo9I4q5G7WacXeiO986qk30QgoqKWIiIJ2CkxqIqZtJmLgJcksA0oCLdq4Iq7tbiN64UVWIWyGSLIhRtMIF736Ylz+1o/CPwyse2viep7npbRhBtQQzGlAVSPwQqR1CS+MlEVMSRbPx7TcRJx4mHsTJLdK8PjnPBHOObFoyk7dVEx+/NDFLJ/Ci5hU7mROfbvDY12NmbD5lIHIjTanAcc7jbQ+c5xBoDDHa2WOR0Zf79v90N7zmHRWLhn7vuizyuEbtHDJJE8jfPqtn8XFf3wZ9k3WkJQKRpTUVqRmuEn9BLwVt2YCBiXqYYHVe6zgZ170M9gYH0Xtp8okakMDjhc9cFx1aOU47Vq47HFnZTz0gjt+S0/CW8EU/T/d4cyEtUu29WASFpsEHCb5FMURBaTb0gDTBsW07WwKVgqs3rX9SGKx+zS2H3ysU1qKBju3yH6FX7+4vtBq3smRZ0rsnFdMjgUEN8B4wzY6Yc5pGV70UU1QouxwAzIJ00rb1mwVW5k6XGN6uFr9XklYBRw3LcdmTWp7MKveCvhJDMZrYqLGIMok9ZaFvocpeFwv2QmOG3CSplhliGgeirRKWLI/zTLHDQuUOrRiYsb1k9EJWya0JvgKwAmIU7gazFTUTWYV1YDjBAA97k0l2kgDSgFxRA9bZY9UPkLB4s5czxqamhkt5Ryzd9iktm8OpOtCg02ZF6bYQtDGcKF2Ukb2OprHmMM7Qv7dlaD+58j1a4BG5pfWLRca0nbukBFG53YyuWm2acExtn0TSPFommojaCEUWO1204Laqr5sTVCaJmUJAfIcmTeVq/ErMh8DaTOkPEBTl0jSEEuTVbz7z96OT77pk7ild7awLrkgOCVUKZCPChkm8F0XsZcgKwmIRcgolLBS4WvVV3HmvfbjCc9+HOKzB6jiGhvZFG5CKR41fhMdbX62rC0HgVkv0g4ZOJiUKQb+EN6Wi3V3FbgKeNHT/wj1VxusN/sQpZQRI8M3QErjRUSiY0x92YB6+GVKZ1mUfo7N4QT3f8r5OO8J52Ez2BIddNt6q3PK6CWz6NbNOVNYsbIqrSvg+JVv/zL+8Y/fhqWtISIyUt0BKrZt+hFqSrwQ5G5KkbcRCYogwjROsbV/C79GcPz0DLN4brS52R7P8SiNsc4CHJeiLwscTLIIdIm8ge69+rAdKf2eYTU1qqm7zSIyuy4E4KJRliZibV5hJV/BN95/DV77O/8XB7IDiLOBdgQQEGSrmLDEDQxqtLytrjevY2N0FD/yWz+COz3yDtjwDokHDe9VVVH73Z5NlKciQ1NXBpUS+EdJBveYodllZ/dsXen6sEkkv3PLRFj0LLUbgtrXLOCtpSv4+F9+GB94+b/gdOd74GWByM+EgYO8nMPz2L3AjogKsRfJa9ua7NsGW9EUh8ZHcOGrn47mrBrOiifA0rzYRhj7mGc5Qj8SlqvINRjJskJYaOywokOPSarNHmALHLplWf8O7fDj/ildAqK/aQizfG+adfKMtkZj9vsb4zRrqLZoGV+AXYyDqJftJ74wtNu0QTWpEHP/p94SlXi2gPe95iJ88uLLMagGGNZDMZakzr9C/lZLWsFw2f4bJqr9pvBe4cZInFlmnIgWMQF21FdG9jbBOz04XPfeNjaCIzjtnut4wu89CbglkJbbyNsczsDB3MnUk0XA0kUnjr4/AeRKuxprarI7onleFex29LA+2Y9XPf5V8L/owznKIywCaN7Z1vCl66ZF6AYoGwIfBPFp6prDi1wUboMjwy38/Et+Aet3WNUvuAF87J2fwvv+7r3wJyRsBBhjKOPK4qbI8hiJJ8posYhIrXTGfiovpDNY1FYlyddinErQqLKuneGWbU45tJKSitRXD8gWBwoWJ6l05kdIqwxeTK35DFNviuEtBrjj/e+Au/3QXbFyhxVUgxxzdyZj5UWexEaUyeK4xQPKQynTWM5L41UgOqemG4Ka3QohHedjF6VTsSiJrKUIrIUhlRmisbv42Egsxr1MTX9F099cigDndjMQpic9NSgtVMn6bSNX2PHUHOZ+yv1QmKmSH1l6Ju+WvmEfWNI9dPF997h9HeeAaQQjnWcui8HUf1K2ILtno1TBcWqOC0vcUE4tkU1yFenuUOCcBWopUrObLKY2Ozt6jXxO7wxcnDd21z1R3/64h+/UG5wUI3DjwXHpUJI1aD2mtPive1TP0NFWtTo2uSmWSeKrPyyA2txBc1XjAXKsmN2sA8vsli3H7BU2dxHCnEgEMo5r5AxT70jG+EZezXSlKPlC161lg3egvVlWmquYvMn87oX5GlvsWoL2HOlub0+m6aRarb3rWsi1mi52o6WvxU6VV2O3F32wiPdIZxY7iohJUPzUSLB0kjXcu/wSFQ2GwxJFxLybCagWQQODiFsp35NiKezhIrR4YNeB5umaM9dqUF/RP2WAdqpgRtVUlFH73OiM8bO8VVzqOM5sDx97s7zk5AfHp+1p6dXpc6p584tt2w7dyBEpidxJ4Ub0vFb2yKnHCRgBy3KTLVqDIAHtTHs+N2cytEjv99mOKAC6JmR5wNbsGlVVYjVag3vIx3g+xHtefjE+9g8fxVI2woAMwXmJyFGdP2ovcnGR6cO2TSZAbK2nhmFel8ocp8bpsMW11TU478fujQf9/Plolivk4wLtCJjXKbIyF8ZanMTIivmeg2urFevmBMcV1BNNKTJyDFhsI1vV96Rmd6VGnDH1dnUc9irrwk2obAv4boiwToRB7tBMLm8xzka47G8+jg+95ONYm6xiQKYnAXBqwTt6n0RznLqxQSCAEg1uZ+EEt/0v5+Bh/+th2BgcQS1moYxiySwkhqI+CmQMknUs7fQWAOySbAUyDI9mh257P7DvwHG7wRqGuJWdUHMU6jCqoaagxT1jFIJxTqWgvyb2IkAibPQFb91Ut40OZBcEdFsGQZ3rB0h9VvmO7aW/1fDPVntSsSsFUsVpXNvHpR04aNCQKc6iHiVVTGFIWM6WFbPDkMlo18rAWg1bzbYUjFVjSQnGDBPSsv90BCzDyO4Jtv2W57yVPNgzJnSTbTQ2wBTmHwM5gjaNL0WmcB4hzENE1THAcTEJU3C8SDJlGxH7ZkAoEgpGYodALtnnVSiBDQt0kpDJNNL2RGFZEOQjUVAIzgQiegGmMQyTQqCRpLHJa8c2M8Uv21rPZLlDx2ybv+kisDEvX6tFkWMIfN6IEbb3U2Jk8zpNnHudGza77j/HQPYqf9Lv/TAu7RYY4dqrKHdA1hwDQjJJtUNDQPWAjGBHNcetHjtnKAEBrxWZA4I9NL7juLZRK8ywkprjfib7C8n3SbOMpnTR+MpoaYsSB5z9uOo9X8FrfuvVuK13W1SHaALpCfCZVYUATXyuKO16LNoxWKVQQCQGhlv+FEdWDmH5LiM8/ncuQHimh0k9ldb+aDzEnEVW6VqyJpPKLmYXFOU3OI6V0yAXuSnKSFDyJxSzsWER41Nv/Tj++U/fgdXJKlaqNQFQaCCa1jlcMpcbmkC3YsTYlBME7FigLMa4RH62i1/9i6ditn+GaTztelIt6CEmVraP1XQmiOyLadHl76X5Er7w5i/gPf/n3RhvDRBllGdIUFQ1/JByHDlC8YugWXUDzwnRBD4m8RzT07bxzNc+E/m+AvNorhIJoklNk2ACFfTBIOin3g1MCgh8CFeSYIgU2NQ0SpmMi3Z/3WNVvoR62ZQF8bwQLuVFSgL1BCIdhLWHUTXEFRd9Af/wgrdhfX4AzhZ7R2LVJ+ZeVZn9jBJg4ltC6QuB+OQaaJC4tbKBX3/Dr2Nj+QiC/S6yOhU9espulGaPFZY75QjkbGYhWAtCmpjeiAXXe6quN/P6XuFMC6T6RDEzFPkXV1i17HojwSNPMyxnIzSfSPGiX3kxTstvhTAdiIY6QVTKUXiBL4aQHDdheTVA5IYiN8COs0PRdbj34+6FBz35QTgaqxFpjQx+4KGgkawTaSeVnH3aCUN5b16baq+bddrzOum6ZIzuqnZheSCD2Bpbq0wSVGYl8+G3LLWbKoPZ7zoQlYDfjgKzLaZoMX6CbcRLNIRU+DUmozlvkG/lKlE3c+H4Piaf2sL73/p+XPnJryIsqWA5kO/W1oUAiyLxZoFJ9h+5gXQTWvNNqyOqBnJ6jvJl7ESkBB9PU98J4XmREDsqLxe90KPhNXjQBQ/AAx5zH1SrFSbNHHldY2m4LsBvFc+lmLTD5Fv2QQMly7mh/gHsIqkb1Yjlv+3PD+Bzr/4PXPKSS7Fvsoq4SLTrUgDnueh3c2xdfg+WAJsKvjD/G7hegA1nE/f4qbvivIffDx/8p0vw/ndcjFVqic9ceKmPxBkgcmIhjYgVZuihaDKRM+H55wWcVwrIKtGD95o7rP7woSzxruTTwzs0jqC/geuze3MmUilhFCF3KP4yhzNmbWML8ekxbnOP2+Du598dZ517JjAEyrLAjBbwUcZWazVGLXTuRmEgZqDUThdmpJV+2+GrYnTOtUq7twVs1q/+6pR6jUCdYXGbuc/7IKA4q228GeJxYzqqGDgYQkfXGWPP3B5RQvId7mFClKCNQ6OFYuMvYTXfBRCX4bc+M/r1NMzeKRHYrbvjGIG9vlTBcaM5LiCbEjZo0h1mkcxB3R9Uk3nnGO8Ex8WcnnlRSGmVVgoIzOW4FmzngAUfd7R8nsr993r7Tr2uW1XXh8F2xtI3PFQSf0r+amMBZdJ2pCzpJjKrl9go6cWS+KoUl/jOGnNwUUQxGs4qyyKZTCehuXPe2wKayppqGqHg9w6fAp9kLNONaHIbdqqIDIvkP4aMIUQwE7OYuEXg/oXofzcI9jQQhrSROrX/c5HfLN6r/752WzwZJp+MlQn+bByoygc7AXIlCmihmB4o7MaTIim7k5kPSfekkmPkTssWzW7UUqW0QpK4KpT0nWCey3NTTO4XZqsnw3jc6Gsw8jtWJlkJiRYc1zOZPX5N2kq81pauygq6ztwf+P8wPCv+bSd2vnyjP/dmesFJDY63pKsexn0mX5+9xHXdO1KKoIopwNggK1P4sa8tkTfTYJ36mJ0jYFWOmWxWxoSSRo9MlMVqQJJtbu7UniOLiYESq0qVsOX4/wm2JPMBxuUSPvDSS/Cvb/kowu0QS+4S2rTCKE6AstIKpeMga8jKA7xIGVUMopcGSwISb+Sb8NY8TAcpfvrCR+Ps+5yFZh3Y9rbhjFpszjaEeR4SOCgYjBcIQwZue5tBoqlEMCZzVXtX9AgX4Lh6SRqzPmtc45I9UghzUsBx0W/dW3BvjTvEGJSGmWUNP2jhFy6WizW872Xvwyde++9Yna4gKfWwrQmOM3mUpJ1xfg3PD0TOoB42OOodxnkX3Bv3e+p9sZEcQe2TIchTnWCFMpQ5XgKOC0CugIlWoQ3YayQBNGnpaY8ZIGIh56CGkNpZ0NM5texI6i9WCo47lHAgq8skniq1QvMqwyyyvimUaZFc2QDmHejcN/Ps53s2EekB5Aav7IKAPlOnf6v4BMYm5qXqNM52KmUjy28C4wxKCIwb0NUynJkEiR6nLCujHtljHkhrszE/1FNX144CmlZrXO5Gx1oQpq+09er7KQjcCoNSx1oBNgG6CMDxvfY4/493P9R5oOwoJohs0RemY+Z34Di7RmxrsurqEXAl89KR5CmjLAXBcXrWGcBbQI+agK4HJ3Wl80R8AchykvmqXG4FhZUZLm3hQi1lMGmMU5nEivQNQUALItvXGckVC0Kbdm/LHOkYTiLDazQBjdmqmvIuwPG9gnOcd4uGyMXdMLCMYbfs+ne7HkwXAcddAkQG6oREGJyLhAqZor4wKQmO8zdBceqvCohi9jNKnAkAyOf2+gPVfJnMFTUN4r3hGqB5ahPoHliINniDMq8xclZIH4MbeKjyCkkTYjAZ4BUXvgzpZ+dINhIsOSOUBMXJKJZrbkWSK3B96cQQw8kmgR8nOFJs4WiygbMefDoueO5PYTvaQhbNEcSBsDAnGYuiZJqrXBSTcyIeHvW/DTgugTJbJmkYRvzP81HMS7gZsC9cwWArwct/6cWYXD7BenE6kiaB5zpixOl6EfKac8mXOYRmhtBvUWep6M5uLeX4ud97AlYfuILN4aYWdQXAXZgNyzw1BUcr26Maf7puludL+Pyb/gPvevG7sDIZI8oj+GGEgjIe1KuuSoRkrpv9VQz/3Bbb8RTZmSme+dfPRLZcCnOcwLEUCaR4qwVcvR5HAnmuIa4pbnbsZqHGIk1MdR4TdCaQp/uOZeHIDHd9VFULz41Ez53AZ+xG4ovhbbv46oevxGt+91U4sLmKpXwZg3BZusA2iyk8Ca1DI27Byi81aAmWOCgRiLHoEf9a3PHhd8CPP/eROOIclo5CrmMCt+KfZcBQu1K0cE2DSKVUdDIGe9jMrA6uXW820eqD43IPewA5meQ0yqyrCvvaZQTXxHjZf38Rms/7WCrWlBHL6yMb19U1GfJ8LnNhoEderAQBr8B8NEd2xhzPfPOzsBVMMBlsIRi0SLMMoT+WDgtN6qhRvBsc1/1HZXAWRuD9Wp1lz2rRzwCnxnCa05J7qk+vFXbliM63nmSWWafMUDJrFzrKqpOgg809FVGjxQwPiJJIADQyj7UQEENUKQmQs+thBlz38cP48EUfwVc/fxXc3EFsu6KEnaft7HK+iXSVssltoUn3YZ2zNjbxPRu/uGBkyQ4RspyD01xEt/Dw47/y33DmXQ9gEm4gpURRnKBtAgz8FWxsbsAbaRJsO4GsoaOCpa5I24ikiknECfa5ZJKjwnA+wvJVa3jeY56PszbOwEqxgoxGrEGASXlE2OzUdg/cRLpQJF5mRyaLXwhFl3k+3JZunLagGWKAxB2iyYCmAkbemCZYMmf4nQnmU6qCHQkuDazbBnVVdpJ1sq9LdGjV2NXTR4XB+lGCCBuZiIVdotQQL+EkrnTlHC4OIzoQ4py7n4P7/uh9sfo9qwjPDFE6BbbzLdR+gyBiBzBFhAoBiim5xNvCohloZM/9hLrltCroyA/qNGD7EI2A400Cji98P0yRp2OG6jwiwCvxg5h7O9KxyDORUkgqPWNIGBp8GpTErC3x4FhoAnd6wIwzKOvmG4N2OTO169bu+zI7GRvrYdAVCmxUvdOQew+b2HG8xHZp8lvaziuOQ9iECNhJm9HEjuPGPMGK8pg9wnwfyxyXwoFbiPkqwXHxZGKXrcS7VjpHgceuEGHiuL3mb8fx1U+99LtmBI5BjDLfzXC+dnxTe8bpQSeunItkUiTjjByolSYzclSdF5dlmAvBjLmt+vdI52DvDFNwnN32eob3vbx2pGuMWyVGNEUzMXE2ko/W2NNIrrBLkoLX0tVptMspR6kxkomVpP5mQHa+vvNk0X1xMVpGStIU0e0g9cHx3UC55l09hs7eYJebbObZ78w37EtaaVxkzjtpClDClXijsJOKRVLaSJB8lbOrKBTZOSGFEHaQwgPjVO0ar8IaRVKjCEqU3N9amlXqnrjY226yr3XzvZGRn9HY0MjKSZHFSPrQycj1kc8KjIMlOKWHOmMuRNKMc+V4/+BCHMB7HcfR9uGT7HFyg+PT9vTmG/jtfLt4Yus3g3ZQS4JLnWVh4tC8axFrn2RD+91/OaoDrVzVnIm/VMUIMOiPMD7IuGhpWhGZBcSNmcy0XICweDvBwBvjoj94Fz79z5/GeLYkhgcClHnUasy1xR4hYrqXiTZ2g3nLzadF5HrIqxnquEA+yjC+3TJ+7jceD/+cANlSjaPthoIxRYo4jJAEEbY2txFFiehS0hBqrw9l1EUCjnOTJFDOQNBWH23RVduqaUpEbT1ukKUBxxsUDAj3KOui4lbU3aYVWizgeOC3iIoAo3QVb/n9t+Ar7/waVmbLiKVCTVBJeUGBBNxiySncIAbleZLjUHgdfvgXH4R7PuEe2Eo2xARKmRtqUKfguHHqNqaqGucaAxCrLyoBbScwu6PlTAFaI5nS01kU2R0GCNLarFq3YBIiY6rAptX2trGJuGCIdbgIaCvb0BC3doDbttBuT+guBzJyAJY9bpnVuyZF1zq2Gxy300eMU6hnrdqS3KMIMrWhJg6iByeSHcbwyhgTaRsdH2q8aQN9BVcJ8BhKszzLmOWJ46QmUMJQN0xKjhOBCrZsBZSdMXrnZFhmJGBbCYzaRyQaxzynSjXQOAEPy7AgI5sJIUFPAcfJ9k5j2QdC0nyl/qFsBwYT2j5PaYQS+ZDsPWogKxhL4JlgjBQJyORlVwdBHILjlAUQgHzBvhKM1RZDbNBowXHeNybu8tm28LNAly2zwrLvJIC1EkomUGZgJfOR7A1eIxm3Rved4Zcvge8eB9/63/VP8R6to2MymDmvge2Cqc71XJK15igDLGCSL4a22kYuxQXDjBBQwHRtSIpq30a0MQiOm4PYxOm8TyLdI/ru2iKNUI02W64N4b8ywiSbuEXsxMrMcEM4c2BYDXDZm/8V//ySd2Nfvo4kixE2PqLYR57NBNSRNn4zpwnO1zX7l2Kkfo5r3Gtw1v3PxM/87k8gvLWHqbsla7PICji+CyehvJSLJtNRYSLONcXCLsHE0BopuZ6AZtO6ELZ5nheicZ64AfxDDr70D/+Bi192MQbfWMKoHsPnHt+w0ENTTE4GdtyQLUEmaA2/pipFhXypxTk/8r14yG89GJvjDWECE6AXsQitsnUGmFL+6lruVfuX0iRL82Vc9Y6v4+9//y3YN1tBnIdi6lfU3Gv4HgT6Oba+AF4kEqRuha1ogtmBbfz6a38D87NyzCIFx6X4RgYfJQCYRAk454gkAzs4+GfuNdRJpMEQf9vEgkxkMaGTea9FOels4glDwMRNxI8jrhIklLw5mOPgJw7ib17wRpzZnIbgcImVaBlXp0cwjJbhBTG2p1MMnJGYCBN+c5xSwEECZKUbYTuaY2v9CJ78B09CfIcYOK3FZnFU2KcDb4giK018aH0hdP7bec/lKjJwHV36xq3DPlBjO8V2+mYs3o97hHikNC0qFvtdF6M6wWg+xMUvvQiXv+bT2F+cDodJE7Wyucezi4GFbDLNaxre8eRkZ4TqyVfDAtf61+JXX/xU+PcMsLW0AUQFsjxHHKygZkFcJDJYvOA6J3Nck2FfZHZ6bLOeAZdlTsnKMMVae+6quZiOGRM8Sndwr+D3kuPe6qv25MyMVpPZx3ePsb6IJo2WVRsNQ4Fj57M5BtEA5bRCUEUiayHF6AaYfDHHR993Gf7tkk/BS12NgVofkRtJSUXiAhZlpOppoF1bwLcdWyRvcK2w00uINxWaFeDAnfbjbg+/C77/gd+Pib+FZmDMRNtWCj0E6quyQRyHaFp2WOi5robGcip0THIFTnW8qqoS9rjVXmYReK1ewxt++004/E/XYT1dF+DVZ4HNnYjkWtASjPdQux4830NLE0uRfaFVJ+PuFHmTISJjO2WfCjBOxgIqU1ZIGPUGkfD9QIBxkkLKVqVdVJ7GBkU2/rAxkZH0kPW3O1XkPtCgYAdQxA6ACepxjdvc8za4z8Pvg7PPvRWaYY3CL1E42iVKQF5k3Rr2c1DvlvdGnFkFMCCLn5033NvZUcp5r1dm2f6LxkEdZf6oWfneHwuGv8axO8Fx2WtNByOlZtjXQhCLDFDRIk99YROKXJL6kC0QIMPiFKtrwyCXMJV3ifuAw7Z7sqVJpKBnNT0BNI5hlwznEwuOqkduuxEIfNnChPTx7Jncs/cx01f2wXGJbXl2cmaSDFUEQnJwM8Z0QbcGukKi/XBp39GuP0qzkFCCqBVpFf6ZJXQlg3SRcefvolozO8s2x/udTr3+/28jcMPguM7xG37Ifm/IRd3zTH5oi0Ha0qxSav04Q7YDysxJ0qiBvILkVq9cQXOeB7Y43RVelRUjD08b0heqdnYr7+/pplNKyUUqG6lrTjuZ1eDT5M002DQyLPIcUxi1G5vtTNZPt7vwzvJUHwDv78xdN50ZUi0+nDgIcjc4rh1UWsi3rHJVDdTC/6LDyhTgGROTHFCECCkfpZCXmghTstPgH+ItkVQoqD0e6dnHPF2JECeOnHa8K13JmaZTm+C4FHI0qlTSlTkMGwcRGL/5ZOfID1EKf+j9Y3gL70Inca483mv5z3j9iZuZ3+LbUGscG7h39uXqVT7878u8FBjVmEXKlBjFS5huT7U18D9jZE6957ccAU2cVXc6DwiAKKOVirBMyrVdiI5F+qMt4Sq74rQ1BkWMcDLCRS96Fz5z0b8j3IqwVC8Jm1yAMGP8EwWRmDClGYN/GlAEmJMBk/goyinKIEU5ynC3/3o3PPAp5wOrLQ65h1GNKOtiNiPHQ0iTtDQXZlMySDCfp9q2uccJRBOkuCC7ieZ/lIwJpAVdshGpIPYoyAyoyeClCSilVAaqrUeIaM+GsuYzmASRXdRWNUKvRZxFSDaX8MrnvBrbH52INm1E5qdsxgo0B8IU5Rt4SKmf6XuYUsd0cC0e/OTzcY/H3g3z0UwSG61u8rXcDA04bplkVjvQHMBy4NrWZZtw25ZTw6bqWpAFkFMteqm6MhBg8imJrWGSWy1PJiX9dmWr6dgHq5VYow3eJsmxbWG60fUkLFRMbPEjvdnKNrds3GOB69frMOaTDNZK1iWZ4mQCSUGGgFtIUJqQbaWBhgkim9Y1AAAgAElEQVTm9bqUHSDJnTHhs1GPyhJ4cBquG7JyDTvJBCUEjERGhOwajjmpd4YtJ7rJ0r2hST0TLileCYOP85RMUE9Ak8ZRhuiJeCgPiLrCGrAxORb5E3ZhzCLVCxe9FJMEGRa3jJ0Bx4ulHAUDDmqIOyqypfIsynQOLDBOcJwFAbJfRRJE9ehN7CNfX0lfqpcmrc8EtA3LWxgi9skcR5kvBmyTaaQou5gOimmsghKOp3uZaKKbwokwophMyl07PnB8kcqb+dyd6ItNbQGS9xmcOvspGyL8VOmCUfkUguJkZdrxkoKCOmMtCglmwkiyb5R+7HKSvZuMCTKQfRpt1WhDZY6LEa0AnGrASvCYEhpNXYlEUtLSzCtGuBXiuY9/PgaHxxikIwFnIzdAXkwR+QR7W5QEDEXRwUNQqU51G7rYCDfgfB/wpBc8AfH3+zhUXwMv1GI6wba0yOAm1HUuEUKlDATIp04e74kwO1RmwONnVjWcJMSspHkaEFK2Ip1jHasYHlnGy5/6UlSfajGejUDsS4ATh/rRysPkawpMUTU5lqIRqrbBdj1HcWaFp73lqZitTDEb0Bi04OkmDGuem8p81sHlNWnTogXHG5FVOXLpNl7/P1+PfdtLCNMAjkcJBu4NKo0QlFQ/JwDGImiDwm+wGWxjY+kInvWyZ6G+o4tpMpX31/ZcBWfIlmecq2c8JVC0iMe9neZDGTssRJ7DyjHYNmB9n353Cxk3UZOIJno8G6I91ODD//QRvOs178G+9DQs50MsNQ6KNkU8XsYky5GWJcbxCpqyUZkd5IT3EXBfcz2kToCNwQSr9xvh8S/8OWwHWyhGam5NiQYBZOTMsmiVAS1FPkYLN4RVtJtkb2GwguNGJqQDaXTd2bfktRCQ5NwTRjUTMNdFGASopxVWmjGu/uBBvOHpb8AZxVlwMg8e544xsw3N2VmK0ZEnevKRH6GpCpRejnSY4nsf/r144K//ENLTZ9iqDiOIeegkaFhkNuC4Lx2WvHfaNqwx2OLwstJK9tr7PGHbqSA1aCmqG3CcrOYikNZiqdeKSS/byNm9pEyizm3KNHgJUG2GWwncrFBwL9IOK/oAsHDGAiI1p2fTGXzuEew6JPmARbgMonsu4eEU2PzCBJ/82KdwxWevwNZ1mwKgU4pPgF+D88ockr8sOoAkrgldzJsMq6ev4twHnItzz/8BxLcboB4X2HQ2UJDpRal9xk9OIHJ8LD5wHyOQa8IhPTNMt4xKZimbiozuYTiU2IaM+CiOpAtAZFbExyHA0Y8exd8/4++wcngFS/4y5uUUYdIizzOMgmVkOeXCPARhgCKfIPbYoRjJdpsjl70tpyQJPXlCH1mWyQQU6UH68ASh7EksBIi1pqtdFZyLBHsXlqbsXtGkVgsjqr1u5wRPV4031LOE3Z8TfwJnFbjXQ+6FH3zEDyK6xQCpN0HJQkOoxTHt9GrNGmA9lMa+jWivi+VlEMthRNDe49ktbH4jyWWKOhYgX8SWFhzvO6TvJYq5YXDcwL/qGUCyBkfD9XVfIQmTkm8zJcWQbMJwT60rerGky2yIe6/KC7HwIZ017CpyaEhdCLOwCYGKGuQEyMUkV+ViuC9bs07VWTc/hsRx4sFxHT8l0GgsIXa5NKwrfOncY0etmPp2wbntiDIgHwE548/DGInSawTImefnLovGBtCzEZfpZNG/Hp8h615mzKnXfDeNwDc/+/vdULu/NTk6dUs5If0/XUbQhd7mX8x+0A/Nu3xUW1Y7UFZkRE1uzdyQMhS2G8oWo2QfkH2BsZcFdHsdJhJYW9IY4xND6LGykIYVLfJhzP+E0eBIriIqnZQ2FFW83d0uppCtDKAdRcvrQyg74yA7drufZwkGJ2JGWXBX7p25B7aQrcU47ShW34cFQG7jITFjTemNFSHImF8qFkDmOElnMu6MbwKgSErkJHBGueTrjGck7vyOB8dFyFZjGdtRLB5o2nHNruE4itDkGpM79GZKXelwy+rsa0vfM3gcVvDRk1F7fG9Zwc0wk9tpe3p+KP+d9rD/pMD1wkomV4o0mUobo7RxS7CwZ2zzZvgW390fYXWYeA8EBDEmdgyqyV7VjduVhH1WFojjAbJJhpETY1xFCLYH+MCfExj/HKpNYNQuiQFf4kYoy1TCQG7CEpY6TAY85A0Tb1FqQerNMI8myMcpfvpXfxq3fehtkLlzcQiuwlzdziWBJZRi22eV4cNNSRMAI8K5h1vFoFg2xjwQ/SllpiqIYCuOfYMNbrJkjTdJhTIhSM7Uwbb57uECzInM5CLLKmE0ek2FYTZAtD3CCy74QwyvHmCcDhGI9ihTYkmPDHOcSYoLjhQZspN4C9eOr8Fjf/vR+N4Hn4OtgIUobfVU1rJ1m9eDWbVlzTncPyztYbyjam7MRuQQkhNHOwnIbpMKeSs/Kr9omL+2NVpP6h11/O6QvYHChtU7v96oGoOR7t8JZvJ6bwAct1Jsmu4oS3bxnbUAQqCPybzIp4ScmwqQd8C1YdV3FOFO6kVBBSaxVVugaHIkw1gMZ0k2DcmmLXyEdYSojkXXWc7pPlkopPMVNZcbSfJ5L/3YE0ZDVmWS2JMlBt+T4If/VUWpxp5kDGv5fo+T73hfpnq6agSpsJ/o2KaeGDqxK0McwU2xQzSrOwNMV4x1i2UNONREUw9kZdqyFZqJq6/tbzRRKQlmmPlnWsHEoG9BgOgYAyJHI0C7Flo6ffFdo7WDDdJ7o0UbJEmMymynpAg1RisWToSxr63kx/XovcGCtapvymR8Edxb5oqa1sm/Uz7ED7UoRaa0aIobXXFhj1uWqER85j4YoouZw8pi7D1kvMgqrlH6NNiqJflH7NAeUzqBRoMEZUogJIDrxCIl0MaFMAaXsYTh5ggf+5tP4t0vfy+W0lUMyoFpaWzhNGrOyLOB644FxryoMXBWkLc1JvEMm6sb+OUX/wLGd0owibcFdJaOHgH5rba21UilXBRQGmBLzYnIrNXOFRalCEiw60KJ8/bsKBGXEcbzFRz68BG88ldejrNxFpCxa4pgtBYhyZhgYaxwM+mO4FkmPR0OsDnYwEOe8xDc8SfugO2lKY5k12GcJHI/ytxBGMUyZrxR4hFBU1MjX0YN6XE6Bj4f4k+e8ic4fbYfwZTXyoIH9QlYBGoxYGG6qRA7kZgIzpCjGFbYGh/FT/7mT+K0h98Cm9EmAjGZYsGhRDwcYJZlcp3iq0GrVJlSusZoBpjxH1oXA4J0uUpzcYtOixQOgUPKJtSlFGGdaYM1rCFIR/jaJV/G+97wfhz89LVYcw8gyAaIax9xTc149Sghp5VsWVnJ7EBAIXJhbZljNRyIJM4Wgf4zWvzinz8BOKeBc6DF1J1KNwLBQK8OUOYlPF8gfT2oTJKqcm/sFFCA8j8THF/srTtDbSnPUc+49LGWreFPH/5HGF49RFRRRk4uFnFAM2EmZap7X4vxn8a9vNO1UyANcuS3yPGrb34qNpYOo10uMee+30Tw3cgk0cocp0xHJaZcxp3DdrkYrVJ7EnTyMN3e0tdlN4VsuX7KuflSbBVQ3Opwcu/gvstSD88qC4zzA6R4beiw4kht4weVnuAZqvo8+hzqr1OGhkUSaTThfwTehdbmoZ5xttAPQAHzcrPCoYOHcO1V12Dj8AYmR7cwn80wmWwh49x0WsSDGKv7VjDaN8b+25yFW93uHKyfsw+I+RY5ijhHwfiMnV9cBeKlo7JRUjwVabxcW62rSGJINcRWTVHdh7XwLd0wTogqY9GmRZJQxqkRgFwLrA72p/vx5494EZYOLsGbkfXO90lFm96rYvF1KY10Ha9Qaq1tLK+lLB8LUSo1YU3iDOPflID1iLeHnG2NV1GSAjXiIMaspO8B/WfI3K5Fq5zdQjQJJdBPYJxg+DyeYhpMUY4KOOvAD/7kA3DH+98RS2etYlptoaKGNj2hGq5ZaocbbV0hyhjEvUcSsFq5OgvsGrl+WmpsKncSGsxrju8I/WbguLmm6/nBaJHLa0J4eQQv59nJ5J+SIjaf0LO3ZSHAdiOK7JRObYl36ZniG3A8dlCHEF1aKfDJPWXxwMhUGUaj6q+Tga8jcrKA49JdZ+6gmnirzKSTKkjOGEx8C4zUEvd16ViTrgE5WbSDg2uIALnEDCQZZhJHiywb9y1LsDFeO6fA8eOKHk+9+HhHYNEq0vWyaKC8eGPdmXssdItdW51w7efsOiKEvWyARpU6VANv7c5i14rG77LOSsZmGsNII7lQ3qzGKAPWHvHJSo2aUEgLjbbbyXqDGEStB4xbjwR2d7HDyspMahe0fX3/+9ovb3RG5PixlPqFjrlIc/E77ZGccLy37vrguOlo73qpjMeXLcCZrjCrDcMYMywSBATIU0oHG/syIXZWQpSSbn2vRRkXElPkcS6eRyJJa1zfujaA4/1CN/frOzxoIbXZ90BTgFw7FjmPpaudhLec52ZAecC6XW5eNzxz8L+cxLnq5r78b/V5JyU43pICtoH7Ta+ZvSRI4zuzJYXGS0WSIotnwhCUKoRh7RxfcPSthujU/7+hEVi01anJpm6WylZioCiMB0FgHMzbEm3jYiVchXu0xSgf4v+96gO4/K2fQnGwxnKyT5gYBE0GbigmYrb0EftDUMc/o5QKTY38GvN2jnk8gXdrB0/+3Sdj6c5jTIs5qlGO3JlJGzZlWbg5ESEk9CbyE51es6g4Ciu3Y3/dyFtNcDyaKzguLZZi4qba6ArSmXZIw1hmAFiGJSoBx3NUAo4fn+IzP4vlzYJtvjT7qmoM50P430jw3J99vhg9jbJEWt4t80SaQ43GsJQIPAc5MmzEGzi49HX8j794JtbPXcPR5iiagNVkUzntHYQKKKhkhGhMWW0yk4RZdhnTeFsJt5pqXauYMdokOG7Zp1b7S9ubbCupYeLY+9Mn5Juz1QL1AjrIpfW04HYEK/peqiPWCwg6WRXTan6MuWA19m0l3rJdyDAW2Q1jskTzzd3AuAIStk1dQyWOIRmFQRBgms6wuraG6WQmbMyg9DAg2xIDbHz+Glz571fiuq8ewuGrN3D08Caa1sVwPICfeLjtHc7Bne9xRyyfswYMgBQZ0jAHBo4w/73QExZakaVYWVrBdDrFeHkJ8/lcQ6kTtoFSnkNNwSQxJxOCMh6pjyiNEVYsCJjkVVrVrCGpdqUQfM1WcmFfdQabJpDpNOLIABZGtC8SIaLx16hmORM4YUeb4EyGoTMZ2T0o9u+LI1P+ZGK+fju2vI1lizjU+Tca5iyaRKUaHpJNLYz/vdtJy3wSXwPT/m5uZL99Uc1BDTZi9OZ1j1INYSnqCbilALmYbRIUN6abXXHPfG1tN2RXOEFkJsEmETBLlMxDSXDJHA8q0aANliNcc/QaLK+MtWBaOmjmNUb+CE4ewolcTKINVFWBOE8wzJfwwp/+EyTXDZHMEzH4MqVNIy/CeyFK9VIoJ87guwNkYYXrBofwX576I7jLz94Zh9xvCHjOZ9MQmoxsKXEZI2kJ2mT/oLwME3PbJsjEQ82R1HhYi4j63fmFKzhcV42PMB/Jdb7yl14K96utyExEDQEzFmIckQPjlbI9vGLyL6CGFo0J3O974Coe84LHYrJvgi1s8KhE4FIvnJIN2m0g9pMdOK5SA4SrhtkQ8TdGeO5jnod9h5axWi8LC79oOS6qaangeI0QBNhqpLySQYmN6Age8KQH4I5PPBfN6TXS+VTmEaVqyDaVDiOHsCOlHGq0VSH6mpIgBQ5yMfp0EKQOYjcUEEgaMnzdWynx5dEUMnOxL1jH5r9fg/f+9Xvxufd/HsN0jFVnHdUUiLyx3NOoVXBc4SA1epZZHdFsmx1e3CJKOJRcCBq0ZyS4y6Pugbs99i7I9s1RDnOkTopSQGC9bxxAsni0UGomrgBLyuwRBrU1wLqRZ7/ZwXssUdveb/aJbh/pv/EugJxzpPawurWKT/zpx/CZt/4b6o0aq4NVZFkqrNEBvT7QglabtbBQlXEUSHGI5qkNNpY28BN/+OPYf799SJdmyFx2x8Uoy0aYrqIJb87DTp6AhRpzxmpZRB+SGpuC6SJn3bkX2nqqnLW2kE2yCvduduiQNVoRNCc43uvWkhfY7hyF0mwM3+XI0qHTaUnAIdOd107jXOnKUX1qiXsYZ0qsqMbdujHJ8lRmOX+45C0+IC3PBqVgUXkIVATfEkEVUDilApPSZVWhrEk4oNGwJn/Cbyc4TvY0JzfZ2ZR7aSl7oszxDiwwIF5TNAi9UBjnvO68zAQUpzkmz72qqrG2vYYrXvkfeM+LL8Iy9iEhmN6k8Nn9weJT46HgVxPAtNAiMltmKC3J6+WeJPUfY2Buug0W1qd2DvbmqAFmQF1730VazOD6DsIwlKJSS6Y8GcB0qvZJRMmEJZ6OZ1i73Rru/fB74gceehdk7gT+io+szqUo4yeBFKjIrmdcY1l2C5kBo73TeX5oJ4GF7Puqth0X0xZi5Tdj9sV8tCDxHpavecmxwPEdAaM8T49WA3PZ8WVhqErgFi68ooFXtiL9JXNFFg/3GunR6BaXnd6dj0pA6ZkKddCikviAJteN5LitKM1rsdbGjtacVLTXe9r5e//+e3/lLsivQwTVP4hmpQFcao7nPgL+SAexIVSKBo12JkjTHQkS0tRnvHoimnc3KLxMjTmtN4rZMzqZmVPM8b3fwFOvPO4RWJycveT0mLnj9TlIKuuxeLLmsLb4bKVHF2ekyH1YmTM+j4Q3mp1zvxG9cu3EEmDd/JsvZAr7IbpvyslLGRXW6AzL3ObNutfoItVCsOYutUiPNQLsisEnfyRmNp5FUvUyHATDUO9XCISQ2D0075a4wyYUx30nbvwbCOnJsOjV30tz8sUtMcUD+WK261vPATltmwBhSXA8QDD3ETCX7MZOx0O6x0gWCkstug8KVCR6SMe05r3fyeC4Ra+s5IyVLNU40naQ6r0PmgBBGQg47mehdHjWSf25eDW60D/gX+o44jBz0jxOVnB8Nf16+uzscP4rCYZjBsgCjocZiohpAg0ajczCCeQ9njR38QRdiNVs4iRSMIFBIcFm0/rNlkqvxLSYwB+xuTtCc9jB6e4BfPJ1H8NFr34PvC3KJ8RYHq6iyijIyjZUNeFkIDmME2xnE2FBzdoURVQhCzPM3BlOu+sB/PhvPgrD2wywmW3BSRw4sYOsmGNpOMJ8MkPg0NBLtyzZzKX9laZdKg+i17uD+/htj2ZYhQimIaIiFNM60S81W+sOcNxkmdLGRHB8UCJPUtFMNuH+t/2Z/ScqOKbyDXXriuyAl5Zi1Lb1sRIvfuZLsD9bw6AIBZSSrytsDZXWUJsfT4LSWTPBdGWCg/sO4vff+HzUazm2qSPpW3DcGm7q4SB61WSiMZGUAN4QsAk6ikyDMneFHW5AcCkiCghnDEiEQW51xM2R0z+guux8ZwRhE3iRQzADosmDtour/Li5IIt42qhAwDE93MRpXCmFxkmjhwB2IIE54s0XtG360n/gNsJsIWDkkKGoptUSMLB1SqWBLOPFBj7mABaJikZZ302LpnIRuyP4ZYx2q8Vy7OOL7/oSPvCmd2H2tS2URzMxKHOdEFlZwQkjDJfGyPI56iaXZHr/rdZxr4fdG3c8/1y0t/Rx1NvGPJjDjdieWwkhj/egrBp5PY+svc38PU3XY4aMjkMgTMI0llHgMdEkOE6N6TJetK1L96HOQTUAdEXPNFvJ1NzXmF1yjXepNueiALgEGYwxlIDjjnh+ybwkEGy6PUxoJ9dpgySJ8zqw24Le+lX6YVSHvZkgsN8uKHOAkjABO0cYHDEZJjuqlbazvcoq2YBWwXFrm7YYZmoXczXKtRjwSApV0sqpkljuvBWGuEodGT12kTkyTHMjX2RIJ93YymfaApYwfI15m9VrDwii0oSGkiQOnBDIpiniJkaY+xi4Y5Rfm+Pqz16NrfkWDtxlHafd9myRSfjK+7+CtzzvbVidrcreJcwYgnmyVFuIRr2xgyMSFkUxjuQTzJZy3Oqht8YjfusRmK1sYB4S8GWQyn2IcKICoyIXIuZz3EFUVqhyWcSwyYomCJrkM86wZxrHVpnjcAotNlYRDmANl/7Jxfjgay/BWrGGcTuWdlgKOwiTUPC6BiU1n33V72UBLA1m2FzfwHNe+xuY3XqOdDhFW2ayP3vuUORcCI7z80J6CLQuKjqcyq5dYZAnSLaX8AcX/CGSL4bYT/dpYaWzKFZLspSIvIjpdqEhp0PtwxIb7lGc9cAz8dN/9GjM980xzyZwiMy7ruqqe7GwdJuKACulQNR8iqAhpXg4XpxZA8dHnVdIS9J62QkQoKFRYhVjnzcENoBLX38xLvvHD8HbdLGMZbQTLVYsL+3DZJYrM14Ysa0AgSKdxs9mR5pLY8oGTtUgZBElP4pytURy7hg//ye/BCy32Pa2UPipaNtLqiGxiC/M21oY6SpJYzvI1DtDGfkLLd+97Gma4HVHS7+Psas47iqq7WBJMSELsW+yAu9DwF9e+JeIMhbaHYSBL985MrFJTiicQBvBSpHD0KSq9R0cjY7iex55K/y333wkNsJDqIbUfKARJME162lhk14979SEV2M2y5zvF9UsQG6CpN7g9IFy09ln9hKCYT6NWw1TlGC5JQzo4l0A49qqzGNXWW874HeLvktbM+ee6PuogSQLP81Ckko6i4gZi94z93vOSsMk5weY5kEByUWzyHwjNquRxbUvw9TZlq4TShHRyJaHCaUhZOXUatRLmQuRTTH7h3QiGs8dM6IdAW7xXZQoQa1xPqiFz0UpmtstjTIjxM0AybUDBJ+P8ee/8GdYatfg00y2LqS4ReY2C+GFSTSpuy9xjsgUOqxFKRFA5ome5oaH2Ct4qNCLUUVXQMD+tCy+taB0IQFtGmsO/JHIVU4LShaW2Gw20a61uN39b4f7POI8nHG3M4C4wVa1BT/xRa6lKErxCQrCSAxjeYf8yJNuOIm3jd67ES/r1qQUNUznglyjKR72Nc5F3kWINsZUXf6u/jLqt3I8D5UK29k91y8V7X7vBSTMYqvfxqYo1MItgKDSYrzEvdIV1+2+2i1p5QDlI6TFVrpYCoJQYYtGDKv137jXisgfN/JdC0TGx1z38dFrjmfsuvLF9fYHKZox5sp9+HmIMCdxx0hYiteNtpwtwHFdmypNpJKTTVwj93LxPVLJzkVB7RQ4fnz37dSrb+QI9Gq89pW6L90whHZ9Os2uz5T33Ll7aa6hz1vkHYtDS8guJtnQuN7KGhIs91jtld/0LmGMy/xHQF9TVJTdsjN5J0lI4wndhXvbYMcq124oKf4SIGfbi4bDUkRmcV7zF5N3SaJgu/P1zLbxRsuzRoN4c/YrSWkB3t/Ie3K8T7fd7ioMYsZh0Rmng9v3EtlZyGVuEFSxeCuE9FYg0cjIzsn+LPOD8Sz9E0rBfspBpUVQCVs0tt+1uR/vt7pZX69RxeIWLvJGLd4qaU2l2qSTm+B4oeA4pXMLp5iH4+DVyenJHzgD5xs368V/iw876cDxlg50Gzhvcu3kJVVa/0AcJGIaUEYEFdjqSAMcJjWLdtidvJaTaXi/u69F2pMpF9BCNEkZDFkgQQuCZJNn8ENuya2YF6yV+/HZd3wWb3/h2zDYHmLoLaNKa6101iSZByIP0tSN6EZyQ2WraxgHmDkz0cWexxludZdb4dHPfiya2xS4rrlOpCl8ajKWpQTqZLyMh2MUKZNjBUutnjAlJ2TByrakml97eRAcD7dpxhAJ0NRnWapeet9IRwM/mhcVSY48ocasEanaY1uRPVZobCRyKdSanpVYydbx0b/6NC597YewMhsgpvafHlGaCDD5k9Z/gk4e8rZA7swx3z9HersUz37FszHDEdTURBe2PUfKJDgmAVMzxxa56AGqgrMFIrkJ0sRN9FxJOJS5YUFxHuI2KachKg8mBZCEDfbNxsI6SJvffGpldJB3HP4mFdR/051bgUJLG9OCQic50THIbQTUB+PtuNn5Y1utIKwtBu8IGzH5EzDcsQxUY3piQQDDCrCMeMEmnBZpNcMoGSOshmg2XZEbuuqjh/HGF/01mmsKrLVDeAQwS7LkArh+gLJtkde1GP+xBXqYsPBUI0eKWTiHe8sQP/Coe+GBP/sAzIVRuQ2PDNsywzAeYjrP0HihmCHa4GUv8//4XyP8bjU7kcPTguMeoixBWEXKAmSKKMtU9aotOE79/nQpQx4VUtzQSvXCoEnAY8H0pBxkDIHVAIdginSVFNYboSdBIqwAnQvKrrSMgl3MAqul32HPFrxfvE4Wh0gTq2SAeA74JRq2DUdAIa7me0vv5ftJQMvPNewrmesK2omEh+SgasLL/wSMsN+fIFxGhpdKfVhW2o6Sibk0aySmHoxc/MrGbRj8iblPIetBDIrEdFOT/DZxsZ1uy1xfS1YRzgL4mx7e8Zq347K3fxijbCS6ftvDbXz/ubfH457yJFz8ikvwmXd8DsNZghHIGtfiidxfo98qO2fLzmsaZhaYjDJsrk3xtJc/HfXZJbaTDTgD+heQTUn2BpnNjkpECRM0EDYte2aYLFCuRIAWAWc0gdDkh69X9rgCjboXglqN/P51gJVqBeW/TfFHT/lDrE/3Y7VZQ5ZmGPlD8VBQGJ7wb4OcGsZoRN+9CHJsDjfw6N99DPY/9AAmo024LeVlavj+kvAGC2EBW3CckGggoJDXlkiKCMN0Ba981qtQ/WuG5emSnH9BEAuYVpclkpYQPXnmCl6RPU4JNAKCza1bPP11T8PWypaAYOE4xCSbikSKyA8R/KFpnox5ibqpBNTjCHheAJ/GcGWBtmowHK5IgS/dqrB/uAJsAldcchXe8Yp/gHO4QTBxMJROGF3T7JjhCel4lEsTi00D+mmnlxYyVJIoCHw0BN+jGvN4G0fHh3HhKy+Ee3aAMm4wB4Fx+mbwIFJjVp5r1IRuavSQklcAACAASURBVMpfqASMVC6530jip+B4v4i1t/1sdwhtEsVdgFsHQPd4SQTw/XaApSNDHPzbg3jbC/8Oq/4yyjRDRLYxv4PpnOHcUVkVntnch1jU4cg5SEcZ0jO38Yy/+h+YrUyQjVVSzuO4UZbFSHvzkmg2K/upXJ8WuXcnp8cCqvXfbBJsRsqYb/OfpRhOZlDD9mIfTkGpCRYflUVqO2n043pwnhS0u0hm8Twx0VQ1J7LcWBNS37JaCooEyR2azTY0+zPsOEvFM2Qs0YpmwUeJ1WpCZkIM0RKNS8zCwyiiFIg9OIGPikaJOTsZIsRehLpU/efaKw07nAm/euloAVXPI4kxTLeQHU/hh/lGNoyAvkhCKfOdj6SNMchHCLeHwL8Br/vt12ByMAMta2OfxY0csfFEKC04LrsC57N6kIgtZ3cPDdC8gB+MXqq1+lafAMuW46pOkhDz+Uy9dzjYnnabbTfbcFcd5MMU9/ux++G8H70PvLM90djdrrdFNi6IAuRZKax40TUnSYPa+p6aLPI+SQ4gMaIx6DIaq5rDGSCZcn9WCcAQOGSEzNKy4Lie5xrTWYhaO3H2/lCihJ3b/fe5oXftlT6k+5J6+PTpUEkyenWIoTUZ5OIbsfAlkLtjO61kymjHAseIngIEmijJR5CcLE0WRvmf6sAv1p5uLXrdfa+AvY/C8b1S86ue/J2Jv2UMCl+AkCiNEFbGXN10RGlSooQiCwgyDWRhoIlqAcd5RjJmkn8z4Lg1BZYxOMUcP76bd+rV33oEjgGMm2PMAM8738LuEN90X7J7264zteuK6TGxF+fzIj+1JssOczjTFa6d2QqKi0cVSWjkLBhWuZiui4aR9ZQgcM4WqmP7HtlOSfGhEe8lEr74o8G3eF2FJqbmUhQPNAP4S65mTN47v4+eP4DEADbfP4EwZBeLLMBxPXpsx6FETx0A3JUBpPOWJEOV1Qq475PYxeKoxJlWS157XEnGrEmKSogB1SiYCzqVED++U8HxRfFGiYKm5GH028VIRrujjRSd+hepT02QR9LFTQIHfOdzSwdGT8MBfOhkYo+fwFl57D2pnbT708PpM/Ot8lc9xxs5XHwBqy7UtC5lsE1UYDmf33pzO/WM/5QRIBDFij6TgoiGK2RMmERFGTZk+pRSMYrrEKNsjIOXXY1X/s6rsT5ZRziPQeYo++JlOzFSH1XNzdgRIyO2ofoDYFIdRRpNMRls4+4PvSce9suPBNaAa91voIoLLMVjTLdmCIMI8WCEQ1tb8INQzK/Ynsy2dLczpGCiyUWrGVOfpXJjBioiOL5J5nisjKXOnEuTOHn3nomkGJ1FBcphgSyZo3TJlts7OC+XT/OxIEApBoQOhoWLwWwNr3/6m7DxiS0szSNElbbwdhpbTEpkrNk67yNrc5RBLiZt6/91HY/7nQuwXR+BM/RQtAqOK8NSGtFNIqhAO5O2VsZYmfNkpHtMFDgfWB5l25cwx7XKLszxDgRXkJLAtTz6euA2srA7VL9N3bK4Jck3yZFIuwh9bGciIUx51bZWqRfNkGlQpaCsyixIC34XpPe2RaORKh0HJkvTIAFiGESZjMbnIadaxoSO9Hmmhdy0AFuAVRlQNpFu4Xkuqs0S+5oDKL9a4Z9f/m5ccekVWCqXMXbGKOfUZvZQtQqG8315v3mtZVEKw5BbokcQznVQeDmurq8TPd61u6zjJ5/xKKzcdoQMWyiQoqwqrOxbx9YkVQkkOcOOJ728MStm93MVHFc91EYYwj5b8+cewixGQHDcaNJKpzLla44BjlNWhe0CErjI/bffadGk3UkImHWqBiycn6qJ2sWo0prYY1TKny0objXpbDyjbYFWi1/11ayckpqUULdVXOmJ0XjUVC5QuIUkwYhpwMWW4eMBx/ll+69XgMTKGpEOzWBNJUKYeZIyqUxLAldxRXDJNgNa5p6VYVncr2OB47L+Badp0fgF2oDskkr+Lh0UNEkVnXg1qRw1I/iHfXzwby/FB9/4LxjPR/A3XfiujzTJ4SY+bv/9d8LBK65Gc6gRB/iBQLsMvJRJR2iZZwtZnrwvgzrABBNsHpji3o+/L+7zpPvjaHAdvDGQZlMBY1kA5VYkbA1BA7k/GXDcIXOZX4LMcgXIdQ8xrD0rPWEMpXVEOHgqq+AQfJ4TIF/Cy576fzD/1xT7yn1oi0bYmASLmKh4bSwAHY3FWUCg7BiLCbMkxW0edls89LkPxbXh1YhpylaWcL0xGs9D5mbidBjRqJgGTaTgc9W0JaIqQJyO8c4/eycO/v3XMN4cC9M79GPRBa/KElHrI3Q8lG0hZ2FJzw6fjOwcW+NNPOq5j8A555+DLXcCd8nDVrGNMIllz25L3RNZQOOex/2FEhEiw1N6Ip0S+JB/y7YK+EWMwAtx+OMbuOiN78OXPvIl7HP2ISZrkLJjRhaBOtJqzAqUhYFdzbqmUR3PAy1UuPDIgK5KhLGPw811SA/M8Et/9GQEd/KQL+VopA2Ae62yiUU+zUgacJK7bqVdRHLOMsrgfeYQUnNeux9u2odF7vogWu8Q6wGXZM9H+RBXvv9KXPLCD8C7ChonhQnSdIbAVT1vfkGarLaSeboqpcRSC8kJ/GrjBgebq/BLL3wK1n/4DBwOjqB0U3ihUDHVcFa1xhCoBKRItPAKr+/acwMF6l2Go6ZyqDUHnqOipUywX4FBAcVZmOJvxoXiK2I7UrRQTc+LpiqN74VA95Yvp0vSgn/GJMzyGDgXxUeDRuQ5u4jMnifjo1JdmqmbpW07QjpJKAUVHUoWRdQPzyT+IfmGkn0CdLNgKCa0LEZx7zCECgvQSbcRr1DBcWsyLh425sHPKMpC4h0WkiI3RNiGcEpHfuJ6iPwrc3ziHZfjk/94OepDDgbeKtqslS6vcTxAKSb0XK8SWZh+CmPMKyQHVZntn+GawJsiSI+ZuIhz9fl69RX8kCa+FebNnMY/mATbiG8V47xH3Avn/sidJM5O/RTTYiYg+CgeyZ5W5bWsd6vhzyIlizIEzTlM2TxD5Mfd+WnlrESf3eO6dBBUoWHXWVae+W3OUfX6sANqv4H+Xkix7H0F2+W/q5Zl4tHd77sT9hL4hNq/FKCReJfsQfqbECRRA3AW5VWHtfewXY025jUMO+k4NKbubcTiMuW+Ss1V1OnTFPQW7FJl2p/Ih42be+C4AawZcwgQkoUI5wTH6W9i8DkK9Aq5UMkKdoR0rTWoQ3oz1SKZR31/GRezX0ssY/OqU+D4ibz53/2ffQPAuCxdU9/qmsQWNatvOi69yKB7j671Wl7ZK4T1CoHyf7oX8wxgV7d64iiYq4VDnkBi2SHsAjUdt1KJzEdkP+p1hy663xZFarvTMmzoCFSdVClzZzLKVWLPqBV2rT3qMcoYXZJ+IzVmJCTNerVykl3uf6Jmkrl5FtdYHDdmPNX5ZnGmy98oschYhp1D7PQDfOIchYugYOzDHmh6dej90jKA5kYNc76oRkaZFdMV+Z0KjqsELiNIlZFVU2b9N6vsYXNjyl8KqY1+ORVltkiiCNHmLjvPsnCF7PHoec7QufpETYXroxMny5XIRGp9bOPum1dNX+qWzt0YZJV0dyU4LsYzqnOqjxMH6ZxEQ3ZCL4UTX4EdB4EwhRWw0GBZFwoToriIsJwOkX0xxR8/9Y+xNF3BcrWGeqqBZegTpG2EWcPEpmFCxyTQ6ItP201MgqMol1Ocf8H5uM9jf0i0ZreDKbBSY17PRFKEcyPLCtFd9RKCES2qupKkXMHxLl/qGDT2KNrLQEZlhHiLMgGRLPou0RbPu1pNM0z7Ld+fOrw0ZqgGBebJTMHxnjzQjb0GC467HttXVe9w3RnCucrH/77gJUiuGWG1TITVLxsYwQNzX9ScTpNUsqvyIMXXgq/hvheeh/tecB4qL5XgvDBSBAtwXBPYrsLtasIu995qiJNBw8RYzDYX80JARsvUEYzKaIRKpGEPZpPQmoOFby/3aEf2sggetLq9YHVb4Nq2DXuedpjs0D3XTmlljnuqJaru35bBYiIiA8KLUZgxfOShL3guC0Nk9sRklLFwoNfRacgz8O8bIpr31qK7vj81WakrHuQDXHHR5/C3f/wmJNclON09A1GeCJDtO4EmC8YIRa6ZbABTZKjIII0SkABLdij1iuukxlF3A4f8Q1i58xi//HtPQbVawFmm4VOFbbJDw0jH9JhZ4Y2diXt9PueDL6YsPDhp3sfqu5+yTS2Ww/NY4LhYUonmeIF0nKIIKb3AHl0mq0YbzjKtpB3fNJWLRIoothppAqMzJ8wLvSeM/9QQxxQwjJyFBci1BdGGk4ZfIOCLgidWP86aUoHsSa41zm9i8W6JyinQUFYlps6oGhnv5WEr9zvgvU4P1QYpCtCTCdyaQhW/m7BLJLhbGBJboMCa3fevaaesio4pwTmCsOzsAotEAZ3vjb665LwMkCkrUGNIFvWmC++ghxc8+fmIr46wv13HAAMkYYKtdCoFIE5vgsp0N6eWNY2EyXhR7gqNb01RkwU5lvdqYDaYYf69BZ76smdgc2UD7WqDqsrE2I46pwxkqSleiUaipjULWRV2FvF+RwY85flFPXh2qBlAQgopppdUFgyLY6XKrlQhkjoRFvcn/u7juOR/X4qVyTISPxb5ByYQZOfE1Ug+N3enaBwa4qq5Z+oXcL7PxZP/+snYGB+GxzhHdusEWUsNWm5WFSIxtqOYStSB4wRkgiLB5W++HB954YdEuzhCIuByJkaelC9xELgeqqaQAl4tWkquyPxsRkdx5kNOw0/9/gXIxcMj+//Yew9wy7KqWnjsvE+4qUIHmqYJKkYEyQiCoP5g4uc9BUQlioBkQRR9zwxIEIGnKOhDRBGU8FBAfsTAI0cJigRBUtOpwk0n7Lz/b4y51jmnqhuxb7WUQt3+qm/Vvfece87ea80155hjjoGSo59oMCCjuya702K2znmumyZAWqcYNAOxQFQ3NAHa4yX+6e0fwTte9y5sf2obm90WRmyGlIkapDxppH8Z0vSzdEajNAU2rQuuFZV7DjjifbJGRYhZM5OJdXm4wP2f8gBs3nwDe2sn5d3Rs/nDGE+OOdnobH6FZMEyFjQIKUMhxibPLUpmpMbzVfPDWPDX3ccSGF8tmHVeniK/YjuWslHD/TFe+KTfx4m/OYYbxpcgrHqklKoh65akAU3PeeavGVISie5AuQrqXyeKg7vdMdzsnjfDd//K92In3UObz1H3hQDrjp4kZF9Twr21e9oE/DovhOka28eSyXU1k9JFQ9qdvYvZ71Mnbqw452i39zJw0lUEDanJyT/UanbTYpBsCa+bM/1dQSu1FNz4sdL+2DVz9TUi/B1STThQVt9ikk2JOSEdrnfq5bv8gmeEXj2JAgtdVEqbEYSbo05LdFktDwSVs2okmOyeb7j6vGIJVHoWnpEjBNo5sJo/m+cZpntTrKdjBLMA1fEaWxtHgBPAu173DrzzNW9Hd6xHuBtiPdlC0A8oxoSe0kZaNQYqWJ7N4tJYupTY0UzQikaqT6lOqY98U8Mx8Zdr3fY0QViaelKvf57McIObX4w73euOuMFtboB6s8ROtI1uaDGdz8+il4axbI5xypOxpmxLk8JITBKDcYZrgLk/pwlWJTC9bAaBYH7Y9xbot1sLPr9zEP4KQGX30oDx6yJ1WSw3Fwi+dKtsGTHUnNL+CUxPteEfY0uHJac+zJjWvHOWTHibnHDwE4Eql4cxh2iCWg0assfpuUqGYcMz1XkleQ1ym/jw5JAv/aqvuxh32jN5k0y/7t00iZ8MYPODhnXZbIC0ShYqAiSWeHDccq1lCNKURN7q7GP9Tyk6ToybgbntMSMVnWOO/4fd13NPrCvwpXrn3g/AX65r/vlT9+dqzrGKZy1AcedPxWTYHukCxAowvuA207PJnTiadlx4FHCvWBz20qZs+MpziVPjbpqrb1pjnrvfoVi8AM6dh9ryFdjJpolLnsEkGRrvwA2e2nQvzwppkpucpP7u4oK+5iZAT2l8noX1ZtfWLqoB3quno7HsdT19rJb8m+WkmgFzsUieJGxCVPTgSRDVKaI+E6ShCoI4EK8Z87WkkzTwbFhJFlSSWddxFvrlupTmN8OpXJKgKmdGbg1P+U04ogDPNU7esZ4SfEL2OM+FKkdcZKiqhqyQD69dPH4o1vHBgIZO/wk+zuKpevV33+/1h5ud5qfmJ8onhH28ETJxG1rSKuF/MYBptGSmAOfg8bO8glaSVq9rpZDJJE9yK7HkIoaTMUafT/Hbj38u0ssijMs1tGWItKPmonU9p7IKY6FErb5YoGDZlSjiAjvxNnBxj3s98v/FTe9xU+zV+3Iyj4cxZtUMcR7J0JCGQtkgRduS1dfJhJBMF3+QGE9q6eZsi//gmk8Cx3cGyKrMWJk+AfYuzqeB47wm7aCWeRjBcTJtVguHa3s3V8FxpugMzkf6Ab7wtivwh497FY7sn4+tJkfSqW9p8JJjqS70hVlgZSEm2MPxjWP40d++Hw7fchM9NbKCFpXkBnjVCBZxx3mNMgZ8Y8dKV9TrisvMLxIwro61RpDJnvVHkZN28bwfuunpwHGhyDFhfId8MfXqjrDVA83assam5gEsQz0xVh1DVFq56lRovIwsNn6m3q+YbDyWxDi2g3ABjq9WTJqKtUkDXjvGHbEeaTxH5nhaqaDxxbMfDz79XvpRYNOctFQkrwYY7W7gLX/6Vvzty/4Wh+tDSLcTjOuhgYlhiEm9L6Mw/tEUBA+WLtHoNc3WinCOqqeGKbvVZJGbrV1EJuZ6h6twBcJLYjz2fz0BuAi4qt9GM6gxXM+wP9kFYYqrASHXdiEe+OcdOK5R6WsAx2sHjhsBcsEc1y5uQ2lRLsFxAm/G5PLNEumTc004wNzd8EU8oH6fRg494K3E0O6PyWk4iWn92wFcXp9PjAAC3rY/VkfHJWgiQ6oYKLwJqK0zM6ukflSv0WEyozgyfJAPm3RYNpUWk9cE+J2MkZRzuSFIrufIn5PLIKNN+44g9iow4DTWLV9bSeONOr5gc/I6az9wBDwhME7Av0ZH+QHpJplEScPJFtpBVjGO9IfxiTf8C176K3+CG5QXI57EqMiKTnI0805rOskY0xkbS4GelH9SbGXsFkhu10qvX8yVBsfyY7jT4+6Cb73PLVCdX+Oq/ctl6pxRSqmz9WCscRPSsO1t2uECZBmnuhxBZ1IJ/HoXUsfeEjob/6TWt7cF5Sam70mItEqRdbmAZHw6wB884H9j/cQ6siCWOWQZU0t/gHG1IXZchT09tyB2GoEGHfbOm+C+L/wRrN1sgLabOEmCHAWnRXIFLiqK6HUSHGdDk8xx9iRo2Lf3D3t41WNeifHlQ4zjdRkxUq4niGiQ2IuZ2wks5wQN34c1BCf5HqYX7eGRz3okspuuYTfZQzVqMG9mMncmi1tup5I1sgkEmqMOmNROubaBj7z5o/jgWz+Af/3AJxHvh1hv1jDuR0jbVCOTYpKElN4J1PxmIZawIc7GRxihbOaOD6lZB8lD8dVSFobnJXOCbq3DZG0XD/+NhyP6phzVZoWimTKQKx6z6OBUWEfvBq6LKLa4LnCc2vAO5KSJISwfMGkcO/vPCCBfZND+WbyU12qhtdyjXHz2kwGG1QBru+v42R/8WVyyfwnWp2sCxqfV1E0dWA7lwVkrdtkIaNEGhc7nPknE1wX9eC6o8KAXPBL9jXrU+S6qbiZpB/KNS0rO9MCgMXC8ClObcGId4li6PpYsPp8SlFYAy0WgMfaUl7QSaO/YZXzHmiZjc7xJEFOHvKQeeYKE5ri+H7gKGp5GsBUcK5ks/s1kyvhvNUI5EUZDylJdpsUUGKcbCI5zrXE9JNT59rdmpQfg6+KWzU9Op9L8Ly5RJgVamiYTjOtbXW/mCyz2eO+8CZmMOwN6eRhY7fMp6acv9FrpJdIhD3JE0wgbwRawD/zzaz+Gv3/VmzH/wgwjTh3OQwyTIdomQM1YxP3RB8jjCDX3B/PpsFUOxYYY1wPt6o2QbMaGXjd2oR/rchg/5m7eJ/bHhv96VKlNruzGu/jmb/8mfM99vxtrN9lAkUzRjXuUXBsRY3iLruEUBjXZA9RNpfuRDjmxaBOFvOb8vuSSGtrqRsrhDfhcStr5qs1PMQqgF6hjbGi1JVakU/TWFo0lx4+knJP7mqZBz2AHn5bqeeT9mo/j09B4q3PM2FfgeJepcUhd1aiMEJYmGyOm5sov8utD8Zj3038IQGoEjrfUHXcGnXVs99/OKwIMbgpWTcUVw8+DJBFn+hjJP1i+pDpL78HAfN73rM0Rz1LkUweOu1Tn3wLHG57XaSPiSZPX2pfM9ZiDSx1YdcU5cPxMb925x3/pK/DFwHEPqXrG9iJbPoVp7pODq8NsPgfwskLWIF6esUsGs+UK1jzyxBw3vc0oSANyxXbLZDyJzE+ULAhwrg434Ns0thmbe04cu1rHagae12xqOq+wRexyE3r2MsxMUqQD985VJ/cmo6FanFhD66ZK7WsGlq/Ik7r3fIYZ2Je+iV/kJ1ayMstBV+7dgonvmg2mLW/4kbHM7QzyQ+IR6xwyx2esdTJEJNtwMlJysaZcoEZ3aOD4dFygFvHlzM6vA7/56+CBXDeS5AyYOzlZTV0TA8fVSHfeajXlZ3kmEEHi95sEaTVAOhuiLTtOB+0MjwyeEa/Hvx+sB8evg5d3xk/xnwYc70mPmeAbp5+bviiso9twLdLQqxmX0h1TIt9Z14FAFpkMAsUONpF+xhfuK+UJfKm2CNanvLFTl8fpA3zLXNEAByXecllngkR9oQzJ/gCH6g28+DEvxvF3X4kL2vPoCoYoINs6wlCDoo2g8T7liEWHloygOJMO6nayjeJoie999PfjG+72DZgP5whGQFlMDfikLivZ4Rn1JnrJsLAoThxTykK3ucb7wLYAv5yu1OpQ6rJX66/IsuhdHF0OwM2aDIPdHJn0k1zHVScGn9GCHpk1PvAy6a0HlcDJIp+LPee1yvU6Vxkyp+3MBVHLFRH+NnVdi5DM+yhBMO2xMcnwgVd8EH/33HfjvOpC5NT+JEDkGEhe79PUL5lkJtI23O6uRH+TFo952aOxf3hPxSFZ1W3HsS2+pdJ1fI0hlahg5Hi9McaFWelwdWZElFdhIb/CCLHT1BS8WETzKi3Z2vye3c/TPxbX5RTBRv4ogStKLTEecLwrQBsH6KNAUi8q2BRIek3RU1+ajGuxesXAI4POaZu6yQLP6l4kKxoPo4FGK/Y2gc2e4+rs0UU0SaOKr+mxq5BXtewkmTUuSjCDz2YF4KJzyvH52Tre//IP4E0vfhOCvQjr/TqyeYycdC7KMbAQ5fvj7xLbzTS7OJrNA4YNjxIcOaVxGY1n2RngNiCTid+bocsb7A73gZvEeMiv/ySim6SY5hPMMZF0BMe97R6417nQBFXnwBW2Tq7kNCbFabXiAUKiGQCSOc7rIlmVKkI0p6xKhqRdkVUxtMUKadfIoKFtMZqLYUS2mqRVxN73zuLOUEVxabm/xMWTb4xr3PjJB8fuF89cY3OW/PB6koGrpoozkLVYQmDcTB5p8KdxcWc+psdxD1Q2QUF2rdiIjk0hX720R8VRfj7mtKt3euTV1nEJsv/RBVPRTVMZA5o62/xjALl0P5XoumYVUeJFYWla7iKvudx8IYG3eEH+G9xTZMqZSz0NJrkvwgH3XI2WZ7SAce4FK5h5DYmBsQHDUTrGyk++4ZN47W++DuefPB/jdg0NQamiwla8JZkOxkROsky7qe6pAH3X+NFW9uB4TwPNBtNkH7uH9/DTf/ozmF9UYD/fR5BRZogwKB9gDGrKSpgE07KAN6aNsYrDLrUpHsVFzxynCZ8Hx03ewpJik/fhehj0A7SzBoNsiHx7hN/577+D8VVr6Ka1tLtnQYW4z7BebbINRXV0dJJysTVIlZtjoxO488/fGbf4oZuhwI6BI2GGJgrF6mScS7hHOgIhlCEgUE1wnp9TrO9s4g8f+ELUH6uQtWPJQYBay3y1TWexxPBwpGGufU398CKb46rB5fjOh9wVt3nAHTEZzDDNp+jjFlHbIwtNF7BjY6XjWT0Ednt87kOfx3vf+D58/D0fR1hEyOoElBjj50GdS07A1CdCNRErZ9BHkNyvRbby+IIadm0Up6WeLNET5gNFWGGeVigHFXbzHfzkU34CR295FHtbM02KcJS1bRvtIUq3ESSLCMLTEJSYvteNl0azG98X0GyGpgYqOrOoA0QuO8qW8lgLQNQXuY5EvvyZJUBm7CNgUA6wvrOOX7jnk3G9Exdic76BmM2sKMCsK0EvEbG9VjxR2EKwtVOp2U25FYK7YQpcFlyO+z3rgbj4Oy/CdnIFuqxS05pxqopM1iajJnQfoIxiyROFTj7I4ouVixbXlxHI/raSB7lDXUAwgTHq0juQkzrTngEnHxLGHzJoqwRxTVYtmVWxmrxs5C5+i/vLorh3xbfMOPWMJMewwd9JCoyGkQF1stn4b3vljGpw8zxzJuV9a2CaCljTolnmFzxPmRdwOrEzo9o2b8WSJjhex5Q/Mn1va3SaUadiEOXxGGAC+5566yuyb7beeF7EyJoceUlwPMGn3/YZvOElb8TJf9nG0eSogPJhk9v0TtSjoAlnYpMhKe9ZPZWmOGMNgQYJ4cl8I2b725j/uu5em9oBHdTAFiBtsZ2AK6comLs0lPFKjZE7zwvc9gfvgDv8wLcju36Gop+iGTXKu+vQJjEitrL4+iR/FyBMLO5WHX1LTIOW61Xa9px0oBQQTU1dY9lr4y7H1JaAEZsLlMtYBcfNVH3FuNIxGm0NKGNcmHYqvp0hOL5YgKvyBV+sW3ZawqPrHjfGpJT+bIKk58SbbwY5DXLmDKvGcyoVrCtkOYgbk3SOnWqG0GcrbtEPuXed3IpyC7INDSTXulPEXJruXi13PiWfPr2m39khkQAAIABJREFUsf1w4OagH7DUMnTiPisSMcwpmcPF8wT5NENWpTrPZarNzq58di0xUyRwjTK1RwmOZ40kM2m4TpYl94DtZ9d0cGf52QLXDnhsnHvYf6Ur8G/IqiyY3qs76NqC4wKx/LHkEYalbNLyxPK5htuz6huTCmBscT1yQV5hru6mWlX7m3Sp32Pe1NNLTZrcqRHIVB+T2CafMAeQ89yzw8bdOXtuEb1OUXR04LgjkhmZzP6Y3Qu/7/7oUKZEoqudV9bEIh4tJE+W3/RNiVOW0KkMulNX12pw80eP+5qd0/bjLgyt3Ekvq+KbtR5K9+C4qyVI2FUN3SEUczw1EkA7kGwcZe+8zA3jHiUVmb8W4wp1TqnI2iZiXPy7JkD2muLzaW/lrOyoa2SOu7qaspWSv5Iopk1EMVcwQTjLCzk5GU8z+dMov8v7d48uHj0MI3wksNHOs/rxnwkc36w+Uz2sm7RPaurmEIHxeD3GLJxJjoJJuDHybJSKUgYWVZZj4Wf1Sv4X/OWWFi23npnTLJlNniq4TGddoPAhkpudnUtKU0QR6o7RNRCwXewU2Og3Ma7G+LNffjm+8OZLsTHdQD7LkGMoYzAz4jL2VpO1YtqRZdjUjcy19rMJJhfO8MBfezA2vm0LO8kuOE3QtiVGcYKqpAmXjQcbq9k6p/59LQOfL7B8gFuydwkca3jVASdLcNaDt4K2nfOudRdl7BYEMpgZTQiOx8bMbClTYN0yTTdQ8zQNZLxQRSxKOunoNRzj5Vhh3yJ1UjTOJ29hTKSy3V14351054mZDDpNTl7HMEnQ1i1G8wHWp+t48aN+HzvvneJoeAGaxjRXTeaVoClBVaAgiEiGfjdAHRaYDK7E+Xc8hHs/+744uXYCUxqchQxgA0nG0HCP4B/HSFnsDopcrEmNzCvBt6RV4KHvTi8O/cWZuriWy3W3HOVenPCre8mdxxohd8wnaQ/KBJCMObJVeQBH0iE20N9ATwIx3YwMSxa3LCwdI9iBALznLQF1yvl0xoRfjCmr6CJIxkS+RUsQhnrAbNixcBGgyZ/n8LMx8LqoQhNZIy/oqM2bIKhjZGmKoplonfN1bIWH0V8R4wN/+UH8/Qv+GuP5WAxQaRNzPYg95cF0M1nhmBbNnzzQzqaAjVsb7E5QTyvVTQZ44IH3fRLsojoyx/AbBnjgUx6M8lCDMu9kJlp3E+Scrihi5Gkm8E5gLYEmgrtk+REEcdqXDcFsFTVkIDoo5YDVlUBU3seu073KCPrXMcJ5JOaV7z6vJjCWS1qzpyZAlFcqpDhyzxE+rw1vI3u2AC3KnZ64Mf6QPWEA4DjIUOzPkFJuJg7B1lVI1mHbYtjHGJRAVnIigmx2mpmSJSfiOGp+ToCGbK+8wqyfIB+nqOZz5PJiENdXRqjZeCCAhyuVR1clhoVlmMbG8O05RwjkUjf636Iw1F4jUOG1BBGjbqkx3QjUzBGDq6UtyfgLxMzWTRNQakmuIAhiGApXXG9cZ0am1WXzhAYmtbzaYaM41pDxLnUKY53zAVwvlHYgCOPhNa5ZfnDigSDmoY1NhMcDnHjnCbzoZ16M6+/eEIP5UKxmAVCKZ2ZMRoaYmU5GkooycQHCAT1qjpgzwaJxXswJnH1s3WoT9/utB2KyOUUZ25SZPB/aRtAB3w9jnbHGbV0sRjpXruuiSNc54oDTU7p7y3RJY/G8Ti2QBonkRjanh/Gmp/wtPvaGjyPej5BHuWRg2NAaNiMxpmmb2zJWcP/S0LjrUWyVGN4mw4Oe+ROoh7vYDScAzaW1v+01ix/oxhi57/j+GZeTcIDByRzvf+E78PaXvhNr4VGU+x0GgwG6irG6WbBbCcKlajTQoLPDLJ5hNp5gfmGFx7/4SZgdKjFNdhBlQDhvMY7WEZQ5gmmMnU+dxIff9AH845s+hPYEMIwPo521iLpKnh6LRpo0sd10EU1Q2x5JnKHnZul6ZGSkdx2ajiAPMA1nGAyGaohxCChHqoJpkk6xPdhGc1GN+/7sfXHR7a6H/Wxfsi9VUyFnM4PFh8z+7Ky2HePyFwdWLrIZF/MNeluNCgdP3Dxzhr+VIJ9nS5nBrkFWZo5lzGL7rUYk4HlPBv7WZAPPfNDTsf7JAcbbXCM5oijFPgqZTtJw0u6YxTDxVBV/DSSP0h7TagakGfYHM9zwbhfjnv/z+7G7ua3pNGt20XPEDBwTmqqGHcO9JimIUXmJBp/vXdMVObUY8wF/CW5rX+m1LaGqpZyZ5UUmu8aAKadVTZMM6swYbBrPduxmBy6bvNXqRJ41aS0P4f7pkA1yESoIzKoJ7kadbWz8VLM/d+OXKZ7bv1w2lFyiUTIlHPq0QZ/RO4EM2E55LQ19pYXvgTw3AcGmo6ZLhh2m1QRB0iOsA6wHGxhMhkj2hzj5npN4z2vei0+8+5Na5zTqJaM8qAJkGFn+GxRm+uko9WwIstZJGPtp4ClWvjWsDRAliC5Fa8l0zeM9kzTpycyPMWoz5HGGnX5f14opOtld++kU+Y0GuMU9vxm3/r5bo18PBDyyCbi6fv19tKJ9KQu0uMde69mTCzy46dsrWiIrzY+rkR6MkrKQqVmRFvcY9NWL02VtskwtD5h8fJFtf+0KYmtM2HnizlTdt1j3IG1iYNIh4795HrITunCEZc3k/umALuZ8zl1P4BZzu4o5DRW/sl7yoszV27BQ7sv1GLbUdDf2uUkdLpGfJbxjbzZwB7tJQXiY6eCeS8ZOtXtM5qTaxmKOcz2rWpdhHeVU8lmsCQlKzUjWTpM9luPaS1mOjVgeyzybEpS1QCSyLZlLmFRlqAkKxheTa7hu18DBT4Rzj/yquQKLQPHvWXtXjyrLR61+75q/qmvq4unq9V1kO9z37mn8M9iPn/Z7vwgNfgGauwlZkcdcA4ryhppu95Kpi2lwB9Z7oGLB3lt6RzC/NUNGxxpnnOTkl9BiO+9JwpOPoN6MxQRNFbkqz9uTreYVlmssP5YV0+lX59Sf8v9a4FmnXdOrXeKFrM3Vr7qLqCaX6aaNjQwVISxCxHUmc3J5rvmwTOwo4rQ5m35sUNcoM6tXDD9xkwG8nYyfxCcoNWnBffEi7K8+Xp691qA1F+xqmlzvSl7oci9Ly31e6M8de68kSAz6IdrdFmmZ0Ettp9vAc9Ibxs8LgmD7bMeSa5cL/Ae+2n6vv2nxheKFXdF+Bw9YjROPCOIRlDMzKls8ltEKGBND7eCGhv+Bb+e/xFMvwXFLNVfBcQs4y47+YszEBQzbGCbSK0NIslibGlk+xOTEFOdn52NQ5nj7i96G9/+f9wGfB7baQ2JRpsgcj7lDRkmUYkLFUCRpiqZqkAwS7PZ7aM/vce9fvA/Ou/0F2F2bYBrPkMQhmqLAMIrRVHRCcNqZB7jiAhlcUDIDsFUWhXW5LHV0oVq5bShgnJ/FhpxTOylSoSNDHjKilPVaUGDgs6KLTAgazZjuFEETgkGx10N213+R0J6mwW0sa1deO3YN7xrrzDROUU8rHK63MH/vFM979PNwg/aGwH4o8EugbE9NcgNH+M6mbDAFIYbxGrar46gv2MXt7v9tuMUDb47jw2304wTFvMFGtymGOAEdFllkdkZ1iNFsrBFSH9Qtfl+ddbZ6hDmEbwlMKaouGWvOaezUg88dqBrRIgjuNM104FLWJCKDiaPW1JnlmxVqjoDGjjzQaW7lwHF/r30mIcDNGTkKHHe8URtHcQAbQU+B4x2apBU4TkYPDbJUnDaZgQshNWA5/kkDLbI8UwHeSZfLYC/OhX4iLkOszTfw2f97Gf7kKS/F4b01DMuBYzT6A4/a+yx0WXSQ1UqAZOBkHYxZ2QQct+b6NEabpml4TwkeKi7a2Nw4HKBo9lEPZ5is7+HwbY/gR3/lJ1AMGszSKZpkhiSN0c0IhjcI0kKSH5XqNBZ1ZqglpqIMJQ0cVzHkJGIOsPUs3xM4bl4DNDZhMhHXCcIiQFjZXuIBanr+7reYl4zTu6PGNbVOKS9A0Jb611bkS/NfD1kpuhyrSc0UxwimIeAoGSKmMWDTifUWJCl253PpGQ/DHIMyxmgW4fJ/+hw++LYP4aMf+gQuvfwE4myA0fo6zr/oAlx8wwtw1x+4CwbXSzGJZpgnc7RRhVGeYndnB2vjDURJgllZoKpKjAdD+SFwysGzyOwdGujqGadLE1niI246xWkEUtcXlQFIXP/lvMLmcA3NpLBGEPdEzFjkEDCua0pOlByFT7VdCJJKbGQxQeBGOH1CpwSXY92NmkLcA60HyGXUy3VHqRinCSr2uq1ZHiE1SiRZhGI+xXqzjo3dw3jy9z0ZN9y9CY40R9FU1Px2+y0wB3dvdiPZEsE//icMHOd/jMsVwd21fdzh/t+OWz74NphuzlG0xmg0GQI2oziGzmYm5SVIkW+dYe9p1cRBFrHGSzskQYSsS7E+28In/vyTePVvvgab1QYSNk1DTh3QkJotC2NRCBhn04CFfRxjL9lHd0mNx/ze41Gev4/ZcIZCzZlErFYDC6zxwOaaGeHY5IOaZlcBzYdm+L0nvwDJ/hhbyRHM9+dYy0YIGtM3F5DLyQyn9Sx4Pqqx055EfP0U3/ojt8Yd7nM7YMw10gGTFrMrpnjPW/8RH3zrh3Hso1fgcLuOrZraydRxH5l0ArXMxWTmaWZ7U4xx52eRRhnm5Vygd56lmJcz/XxGOZC+QR11mJVzHMo2JSVSVHNMggnKzQLZjVP8yC/cD6OvH+NkfFJEiTCOJGEzioYCStisNTD6y/9h4LjJExEc13SRY8IKHFczw2l+LrSonRZ/QJn+DJvzTbzxeX+Ff3zRe3FJfzGiMgeCBLuYI0nJQKVRseAknSulwCCC7taUDWnwS1JCPsKJbhvpjXo88nd/CjsXbqPYnCs/M3YqJyPYILf4OKd5Lhvm2qvXRRlgBfpqqeZZngs5GL4OIvIyBO4lP5FP6SvAHM46/h7oMl1h061ejf32M3adlROQuRxHpl3P5617jYoLXJYz2KnUv+XYuZ+Wse+bpwhjGw22WztL6F6aBZg3BaLcZJLqpsVwOFSuU88rjOIBymKmCQZKuLRVg7wdIN1L0Vza4Y2//ze4/P1XoLmsxUa4KQdjxow4MZ2nuGNiwL/OlWOZ3ow1xGVspUaTGRIbZMC9pbEjnf3WImF+OZX3zni0ib7qkXUR5m2B2bjCdr2DJAvxdTf/Otz2+26PC+90HnABNC3YsOl/Dlw8UPBws2Du/vE+uLjHONtFpj9ekL8RyZBYEzVc/75RJpNud+YvJBIc7C+jeGva8Lxl7UDz9you0MRspFQmZyJwnGekEZd8c11/85NSmlTx37PJO+8zwKz3msGlL31J+PyO84iYE6yuTmI/izUSZ8aiLkVKggiB8Xlg5AeuX+1NnWxOO5yyaSt9KwLsbHQPalSDBkXaSCqMjXE+Q0JPI5GazoHjX/pOnfuJc1fgi1yB02K/NbQdeOkmTjUNTq8Q5p7cd/IB4mc3fbvSBlX00gS4IyQJGLU8edEIdeZv8idiHiLjTi/L4vTJmax47zZHCDDy0Ipvmashrc47NYdZKgD4933aTy38584s99F7dWRAEQAo3VoEZkTcGNlrkZ4ynrN+oTdT2gkcnw8KTaHJo8PXdR5HEe5uUwFLyR2Pl5x9cPxM9xTXEP1VwkmA4Yw5VYhmjLfmF8Y/GawHHzvT5z/Tx5/ZyjjT3+4e3/f9sLq8/W/lidnTgia4fpQEWjhk2NYcAxSzbckCEVgp5qZQqS/tmnAdvc6vtKc5lTluqZ6PMx4cd1HOc54WzAQDx6FR+CzLUPY0xSNr2CQR1udr+Mw7PotX/uYrUX66wNHgPKz1YxUPSchCg4kOWedkVYYYZyMV0UU/QzWqsD3cwcOf+khs3nYL07TAbrgHDNzUQFNjkDBFokajCx4HuDlm1OkYmq6wZ3Fm7EIni+J4pwttXyW2TCiNmUwTHgLjBP0JyMq13uk4M7CpeGehldJkh5+dRIdjXGoCwhnNsAHk9fR4HTXi73JlY9kYU8Xka1wZytHFPsGozTHcG+GvnvlafPBVH8LFuASUr7U8nAU2ZJpKmJUJ7UwMrF7SA/vRNo5tXYFH/a+fQn7zDDvpLobjNcz3Kqy1G+ocS7Gc94yM4TpCOh8o2edIrb1IYwEv/r7C5F/y9JwuoWfvCRt1YOBCc9wOVdPIdE7XDhTnWJbJKVkHmqA4DQ75dLLnc8W3aYubnIVYu+zoOma77qMXNHfSD/J9W4mEArAck4oXzmtA6rMDX6n3yt8actyau4OyGgT2yOgRqG2aW2k4wGQyxfrWGmbbMxzCFspPV3jGw56FwYkch5sNZNQdpYGHpE3c9aR7Iu+3GiEEYEwrmNdGzFNqeJGJ2RtzaGFZyMOX103SI5Hkb0bJALN6D7vYRnlhjZve4xtwj8fdE/PxHNNggiAP0bUBymqGdNCDmGpRdYgCAvxmC0ZdGjKcaezGj2SFcXhqH/9abEQHjus90qSNDQU6fVOKpGABxLFcXke/D1yX2kl7aOerP9pJe5oa3hwZ56izgA5nNOdBmsU6dJqw5CLTyI/TK31TY5QP0VQd6nmPjewIknoMzIBPvPGT+JuX/jV2//Wk9hn3+GgwRNkU6LMWs4Zxi2NyHb71rrfEXe59N6x/4xr247mYAWVQarqGEkhpTLo2wWigripJQXh+ndamm2Qxw0wznhLz1Glw2GcLVmzotBVf90hs3Xbey3QzpqxQYfUnWdtB3iMcB5iV+6BMgTRtwyGqaYU4ZqHq9PNco2gJIHEdkZVv+46Ga52TFmqpKyhQ3WRKuD7MaEc8MjEY1aNBhTgNMS+mWMemAORnPfDZWPvkGobbA0kP8BHab7wPLpP07980lpfsf5sMsNhQpDPsDE/isc97LIJvjcXAJrjaxwRNW8Qx9RMJKpMpbcacRNCWLGNbqwdfv8b2ZzFBhu9msYX+oxGe8pCn4oL6fAT7NBC0cyLnOvb2eozhPRm89C6IsRvuY2e0jZ969iOQ3ypBsVVg3pRIKLFAOZ6AI/bU+SXYb7roxva3+HOUWsaXA0+591MxOjFSE5rADAcTe04vraj2cg8QnyllVNthKx/h2Pw4ZkcbPO5ZjwYJqf/0zg/h4+/7KD778c+jb1J5NQzDBBmbDNMSEc2v84EUaySVwckip28nOTFvCsvr3jcyJ+VVllZx2CFOKaXGqQZij2tag8fmV0oGZJLtYT6e4o4/dEfc9QF3Z0cdO9jHfjfDYH2otVDNKj1nWRUIUjsjzs4H41KsdbWcavIglAfHrdg0drblFmrsBr2Kp41mC59/82fw6l94GTZPrmOjP4KiahAOB5iVM2SSMBMcqo9arCqTRDN2OsdV6X+RY7vfwW5+FR701Pvj6Hedh73xnoBk5XI9x1zZ9zRPGGrhiznuGJjXyfVbsMZXGUSu0Pbns9OgZvySYeHUpMJ8M9DyLGsASZqJ8VD71vILA/0sN+N51PC8jQPEIYFiA94p8WEscsst/UTB8j2aeacY+F7Wi89IlhbPEjaBE4JzBpgP13PsTXaQDCJJ1h/fP4EuCzEcDNBOShwebKHea5CVOYbdGnAceMufvRVv/cu3IZ2miGgw3STSFaf5PJvl3AtJkCLrR4rtvI8M7PZqeW9TN1/Eaof5iJ/M8RMkfL82tpyFKYpuaiPbHcH9HvvBFMVajZODXdzq/7ktvuN774IjNx7rGs7DGarBRGBry2m7/xRV4HWyAr+sT+KECyxf1TmodtViapF7KyVZhjKSJU1M2aBk08O0zJSGekl8sajdBIxLRkUCIDjOszYlsYY1cYU24YQiZ0h4nPE8sJPFE5h8EeeJNoszTmeG/6rFTGu2HGwBWNzj/ib5xkB3PqO9bssDwpbSQgmyIkJUBCabx5jp5Ab/TXA8KiVBSeZ4Sfa4k5+zCRiTozkHjn9Zl/y5X/YVdAVs1/u9vwIeO3BczX3u0xVzbTar+W+l/K4WWZ0uMjKPI1Y6eTN/ybwflOVB/KpJpMmviZrkHixnncG/k+RCY3LmFYYQu0a/1TAMAMpvFuFrldx46o3Sj6w031a/e+D8310/z/hmbKenU1AGMqJn85/168LWTsxxwxDYFKizCsWwFHlSeYojCq7M4y0n8VxzU1fBXV//Hs7s9Z+9BW2EnRhxSZJpjrai1wQuTQ8nT04vjP4iCIL9s/fqTm+3nKVX0k/7C/cu3Xt2UAb/LeyDNEpDGZWRbWvGN1I4WmjA2ip3DLDTFspZegv/JX+txZRlIeNwWPeVle+uSJX4nzdwnCrHMebzOeI8Rp4MgVkg85X48hjPetyzEXwhwHA6xEa0IS2rrmvEmimbEi0TqiBEGmZm4hMGqMclLg8vx8Oe9Qgcvu15KNIKk5AAnmlWVa0ZQwq//re0pv4dd0QCHAKjTpVlOUU/1D2PHxG2CQbT3V4YMQmMteTXNLeNyav/qJNMBD4j09kxnsR2M1Y5O4le1kBMIQeKiQ26MibugWKTF/G0TjssyFDcataRHM/w7Ic8E8NjI8QnMuTUw3WaomSfkUFN4J5pdOFNc9oK3VaNT619Br/2yqeivGCGvX4Xw2iAfg7EJeVBYgEpxmiiji1ZMJz19FOiJlWg5HzBUHGJspN/EbDriofFaLvT4/JH2iogrrOCr5HXj4A4D1FpXIrubwWJCgcrosmU9XppHGsWOE6j0IVutmui+QkuLwliGLex3kTmYkHMkWpjIusg40HtQHEWoGIli/nP62/giFhsrkAhEG8MT2O0dS1QzmtsJYeQT1L87hNfgL0P7OJIcwjhlE0L6ghTg39F81gD9PacBoobw8fWJoG1SuBoKnCcnB3TerVCjdfOEhSyAsm+5Xg2x3JPxtvYWd/F7R94R9zpx+8i+YJJNEcwIIBYIo4JyFOiA0ioryCGDu8lAWeCERYXUr0/Y0Ee+HD2uhR6h4mTlWGziYz/UAYnmdjjbhJDIpXGqGLRyISJ74//pk6qisec5pCm0Umw1WKEM4xa0e61vKZBFDWoW7I0I0z3J9gcbGJQDxFtJwhPDvDHT/tTbH98gng3RTyNMApy5EGIabWDYRihYAeKJOl8gL22wIl2F5s3PYwffuJ9cf4tj+DyaBvJ0RRlV6As58iEWBvbMYkS9M4gzzdttF5JpHDMyb72prd8D5aoepMzAukRY+asMi1pSllHwOzzNfZOTnDBxVvAGKBUNNJK5q1hHqEuG43/5fHQGS5akWsxyf6o+SRDU9FN7Y9PYLlHDMqW/I7kHVwzh9MoMkUkv0s9xsqeIwLyfmRyQq/4IN73wndjc38DaUNZhdC02DUJYbHda/8HmsH0kZBh1X6uCTvMshmuSC7DL7/m1zE5so96q0bTVPIDoEltFJGZafunEXOcrJNGhmaWLDs5h3/HWXGNP2ITlYqJaR1irVhDuj/Eb//E85F8JkQ+z02TuQvF5Fy0EZXsW9xni59NFTYkb/+A2+PWD/827K7tLHQICRyyIVomc90fTqPwYoowQJeBJsRwPsB4b4S/e+Hf4eN/8RGkxxNsRFtoar8zTZbFpIiAmsoW9OToAgwaYJCluLw7gWQrxc7eCfrm4OjwCJoZDTQNgIs5ndPXaJtKes/UQy+KBqNoQ81HxxtfMBIdOQgRTW+jCAW9QNAjHWT6+7yZY5CM0daUFwiArRpXdJfi6Ldu4XsffHdcdMuLUQ9r7NT76KifTnPWNENd8TW0AiarmqapWoUHvYNn9jjd/xVSgTuvrYBxCvVO3cli6JI9pXtJTepqiLXtIf785/4YV7z9MmzV52MQrmPS1CoME04/0KzYnVuy33KTa2KJdo08R8oulDbvbHwS17vjBbjvs34MJ6NjaFM2S/mTth+TjuuOsm7GHDcPhYOBY1crrRfM8RVw3E+UebkTb97Hwog5TgGB5EtT76WJt87khcGygeR+3/Jvan9ykkUNr0AG1Wr28VyqeIbVxh7XvnfazitgAPMN6Tqpme2a5jJ/5oSKgeNdTE137hx6Q9RAbibEVdyhmBXYCIaI9iNshEcEir/jZe/Ce17/PhSXlViP1tGVLbbWNpXfzqYTJEksXW5OSKow5LnP3EXTMBKEU+ykdAqjIeMDczie92w0mpyZmeMymxtnY+yV+4LJdR2iHtvYRnW9Hre+121xm3vdFsV6hWaNOs4dYsVZmkBTOIwEFSN6nPu49ldgQS7yWr+LteUa25rUTKRFK4Cc04zMnSU9aLnpMnItCTnqnLu9ZGcy81Aj1lAPn0QAEQBIIXETKcYcX41GlvesAuT2Dv1o+9Kd9uDguMU/rdgVcNwY75ZQc8KFDYKsIAgSKO8wozZf33wx5jglF2o0GT2a2iU4Tokxl+8zxipXOVvx/9ovmXOPOHcF/tNcAd+Q9nHh1M8u5/Yscu1lV0+rwLQcXX40TlbVwF2LfQuZVdfR5tf9B890i0Sc+LY6X/rkDjTmmau/02uBOJ9nmlvRtgIOr8gfnkLsPPUSnw6MryoleiTl4DdlKYViBuQRIk4JsRlYxSJAaDLP4BM13vm+GL+JcVZj+pvUrlVo5ChN0Hi1WR/dviLBcWu+cFqchNq+0tuvkeL/jG80eFIwCD578Pty5o88eFZ85r/bNkjfJ9jGbU987sQf5FF+U+pIalN45rgSQyfZ4M1LBI57jZuz/hauoytxdp5mtW94TVfSNezcFl0JJV54v08s2a9LubOPmzGyyRDPf+zzMfnoFJvzLQzqkRkIdmT5tggS6jhWKljITi3LWuOp+9jH5NA+fvjn7o3rf98NcKI7CapJcLKUqT/NNsMsRpDEmBWmuRdrbRywOPY6madxJ7y+lQGRrgR0o+mmZe1NDF1hzH87PU0mvoZOGv9ZU7EypKBTs7PQ0jySGz+XU4WHTUxbUoCoW9/2WlYS3YXcimXkBGbG7QjD4wl2PrCNl/zinyA5lmHcbiJFIsvo/BNkAAAgAElEQVQuAiPEl8VaQaxGZsXnD2m41GN/PMHobkfwY792H0w3GslwxHNg0CXomdg7xz5eLhW0zhSK7JBKb5cJq8m+sNlgmrhuPS8Kb7e6nHSNTTt7NpgND5meKIE0A8TFEue0NK8Xv+YAO685JrCdLEay0MhirICkMsBIJqH8Q+3sBTuGmmZOnsZLghBTNpKLM6wy6Qhj+RsznfHIGPsEWyUe4EadWXTTGIvatwaW26i9MVv4VtgAIit6GKwh2cvxz2/4GP7yOa/B+PgAR8NDkggw5g/HpI1BJ61zMckMHLeSZ2X8VRq7Dgwn2CDQwOQjaOhmu0ViBzLma+pKsga8bhOabm202N7Yxn9/wr1xk3vcBCeCfRRrBd3a0Nd0umNHg0V8aqZlZiVpDFaBZAEyMrxphrZo1lz7+KXiUteU9yVWoyEg04omjA4czxuaObp7KQY77xV1Vm0AgO+WL7cKHasqa4xFLr3YFoGcCHnQuMkjN/LHL2mbap312Jvu4cj6FrDfYmM+RHJyhD/7lRfj8vcex3p1GOUE0mBWA6+eYm0Qo2/mCJoKYRBhynUf5ggGMa5qj6E8v8KP/MKP4uK7XQ/HwynmmGI4ShGUjQDxOMvR1K2MMg0INsNp0/42+RTtO8/aUMyxxttSI9gGCrqp6QbPPjbDH/zWi9HsdagnNQ4f2sDXf8sluMM9boPw69Yomo5uHLPrgWK3wDDLTYecBlkEhCgtQNY1r4niFQ3riCETrXejAtIHZFHuDCVpfCvJJpP9oOxOF3iNYxr8lMQ1UfYVsnCEdDpG/2ngdx76Wzi8fwjxhCZdscbHuQ54P7nt2fhRTIgcq11xhcmUfZ1yHJN8imNrx/BLr/pl7G3tol6v5IHBuELZKt6rSJIEIepQ6uOcNdLX2MCyNeAHzK/9+tVtC/maIwRFi1E1wqBcw1//5l/j46/8Z2xWW+icDErUtQKKtY8XUloGjrdZL/PJ/FsGeNCLfgxXZlciykJ0dYO8y3T9i3SqvRa1uYAzjq3zla9TEmmnxnpzBPXHKzzrx38dFzUXYVCto+N1dQxjs++lLBL3CmVATNP4cJShLGnE12Ov2keSJ+jqDnmfoit6ZMkAHfXCwddP48NaRIUozpCmAxQzMzxVrGIjlvuZxjtOTzaNYpRVhThKEfLvTYsoTQTo7vH3Jh3m6RTVxhR3ue8dcbv73A7dRoG9YM/GTZMMcZyhqXpUlZkvU9+fBpR1QyPOszg56CYmDJiSiKb77IpDVwLalNfKWLFnTvG1VyHOjy7AZa//JF7yP/4I59cXIyvHmJUNsixH284Q9jR/dQ0jGZjzvLFzK6DujuJ9JE3pfmuOKwdfwP94+f/E7EiBMq+lW0zNbJ7RBMclxKEzjfHm4J49toOWGeTiTD8FrHLFo9jRvmheNm5lckxiAbU6K2p1JmZCauNgrhm8lE5YTIf5pnvWK5fUuR6GAscZ88k457rtnCmnZ5AvWG3GcbXpRTX9rfD3b4mhV3GQ/jBhieHmANvTE8rjslGGk9sncb1DFyLbT9Af6/GRN38Mb3nF2zH9VIFxuYZxsIa+onRdg1kzESEkzRLU81p52DAeCsC3U8kDlppHXEinyBNF64ZnZGV7StPm/M8mumjYbdbnmc6yKfYwWZvgUa99rHlbnNdikk0wJeM4ahHUNXru4TiQv0bDbtnpTeNrHwq/uh+xKJxW6hAHEpl2PI3rub4dSE5vIhreyWnd58VOZm5RcyhpsVUqwobJ/EiWMaUeN6XOCB45nyUnleLlVRbtZAHwXjLTP6dNntrYne3FA3245qBSMv5+J5Ni5AXmdM54jUalJSVmCI6zKaaiyPKeVVkV//L0cjjBwZyOzHEDxzlF7qshkmHOgeMHumvnHnTuCrhjzmoMO4FWvXiWDSdPiuOJLOB7AXY7SZUFCU1al0bcUU3jGOeaovfAuos0y965kaucXrUIgCu1vzfzJPFM06uMgc57TLWtM2728WsRfVeU1Dww7gk2nj1+ClHlDNaDxSMzAee1ZKwXOF5GCMsIGWWv5DVhv4SNd4HjUYMqqVCv1TLJ9tNxUip2U5i+Z20Y3BJ7+0phjqupSi8XNo2rVEbtnEStmupf1284fgQO4W1BEMzO4Pac0UMPeCqe0e885cH9Xn+42a4evX9y8oQszcYsaMn6ozGOEgCXxC9Gdb3+rBulPdc1vm7uhV8Ipy8I25IeJPYB1P9ODegjqGkCx9G5FFkxxJ/+6h/j8ndcgfzkCONiHQNRFxk7TSO4DgrpJCbUKi/pdh9TQhG7yS5+4Ak/iBvf/caYnjfDfrxvwB4LnqZFQ/3UUQqaAs4rYDhggVGoaDjIB4OxMRYd02tFQ9kSSseMdskjDxFvhunBXz/uQ81kSaI4ORQWZ15TWSxjGckxuTPtSDNciNHL3Y4IvzP3EciwKp3C5/FtRO+UbICAvZ4AG/UYg50B/uJXX4HPvvlSRCczbGSH0FYEKgggEBx3o0iOOS55AuryRi0uC6/E/Z77EJx3h/Mwycjwq5HPApnh0STNS30InCKLl3C7M7OU+bwMwgzQcti2AXiLeL4sAHzxKR6dT/qlG8hrZAxTMe2pa6zD0DS0TVLGHdr+ZHPjx2TtJw4cTwmO1x7A5+iVFQZmxud6Ep7NxxdBZNWyewE1FVnHYuhQqoNgksmlSPqGxaZn54iRyick65WgoM1dmDwI5XV4bwwUieoUa9TbvzzAMx/2HORXJDiv2kIzrzR5Yc0P/5nPwucm2OgbgEvmuM7JhQ4+ZXvs2hAy4e/NkJFPKqYgeWHzYI4ojdCWtWk1Jhmm/RTbyTbWvmkTD3nmg1FfDFw1uArdoEZfNnpNFKs37ThjPOq9kLEbEYQPkdVku4cLQ7yD7L+FZifZxgRUBVAkpt3PIqoMkFXU6ww1CaDr7TTPPYOdYCr3IAvFOuSZUUv+g2uI6ydQ98yummVTVoH5vV22NZJBhrrvBShfLzuK5Moer3nGn+NTf/svOFpdgHCSI403JHfQokFKHdpyW4PvI5rWxjkmVYs8WpP/wrHiGPaHe+gvAR789Idi9HUjzCKatbXInLxA1faoSnoOEFBzb4Kv0STAncwA46uxzIxJvqIH7i54SVkrsrdPAE979NOwXh9Ct0MFqhHmsz2koxazZA93+uHvwK3ucyc6HqJoW+TjSJ163/QgEETAmYabpiluDSozy1k27BYv0AHLjMVcG1lLkIn3wYA6ssdZMNMAMIp6FCBwHWPYbqr58Npf+0t8+DUfwNHuAiR1JrBXEgF8x6rdWzT8Q4kYadybGbfXXq7Y0BhMML9ohp95yc9g//A+5vlUpsMtAUDrmkrChrGqDtgcYnippZfPEKN3T0mKgyxeI56rfUWTScxqjLoRsukIl77lUrz6yX+GrekhhH3uWMQElZn5piYbod/Zi4U9beYo4w67R/fwuFc9Bnvn7aLPqQ/RIW9SsbKLbKKzihqzlMggQM730O9PcCTbQjAbALMQb3jSK3Dp2y/Fen8UAf0OXOFj0YCASo8m5P0hpE9Ge4u+qwRElx0lcBLJUuRhpiKH51gSxej6WiaaSRBLG7xtgGlXyEDSYoQB6KF06G0CQMUArz/hviRBFwaYdTVKSspEQJGUCM8PccvvuTnuct9vB84H9trj6NZalGFpzPqy10QaBxPI8k1yNlIqzJp9xfbEyVEd8Bae2cN4LoSFSRowXqrBx/PcJssMLHYmk16uzR+AdvsF6GaTGBvTI3j9U16Jj73+UxgXW2LkdwR4g7n2KPeSsbztnGAzS+uHwDhlV5IhZu0EZb6L7dFx3PdXfwQ3vuvXYCeboqCOtpopPVKBxSYXYrjcGYLjvvntQDrLx08nK/gGoGdZrbCt6HVAcLzkpFCCqEo0fcf/9CxkhursN69CA8dZgNuto4QI45R8sRzLXGbFlI+KIrHHre53jDPfJHVHQk/Chmi6vHfupfO6qB/bY4YpkrVYMVFDP3UtAGAU5eh3e1z6D5fiza96Cz73gUuRT4c4jKPANEAeDFD1JdIswrTm3m2QpqlkbBh3KYXH98g8mPvbSz1ZIRyZIbbSE8sDSGkwnwGT9WNLjt8P4wAlJVoiTi7to0srbI9O4n5P+zFcfOeLMA2Po8wLzDMzF9X5w3jYtajqVhNHq6y+M9sQX22PXoLOS5NLVzG5nJ33S04PlA6qQsmrMD8lOJ4w92dzwjX9rU+1rGh908SmJJ3MACcYKTvAob6YjRsz2DVG+LIpab4lvnHopFNWJju8fJlJIhzwvl0jOG65lXy/ec5RepLgOLXGCY5zn1NPX5r6blMrNz99esEmODnt2OQtqkErjwxvOK+zj/t9xY7mgO/i3MPOXYGvyisgLxAFHXcELgh5Vmv7Osmlqov5TYstxi6KhHs42UczgzLCD+Xa2AD0mIjIPlbruFJZTyJpQcnKWn2m3yq4wxqCnOCWjxYJa2wOciKYMVA4CafvLJfwIWzxeRVysEN1kXmtyqyvxtuDLIJF+iMVgkDeWZoOcuA4J2PNa8KeXb9PRqSc3itRj+nlRElie4kmEnwqzma359QgbRDI8pod5LWf7ccozRLBgzldgqTKkM9TNGVT5IcHvxdegGcEo+Dys/U6zz44fqL/punl+y/qe9xG+YTkdak902DezcWMs426ZJ14jaPlIjro6X62Lvt/pt+7VDjSZT7NoMHxexdJmw8GtoUpkwKk1M5sRxjsZvjH138Ir37uq7Ex2cJRnI9gTvicbDd77lYGUjMZjBHTIetyt97HbFzgOx9wN9zq/rfC7voUs/EMTVgipSleTDaRGW+RqTxvejR9hiwl87EQs+ogHxqfdeC4cFlnoOV1L1nik0GkclIngiv8vT6g2nymd2164VyjBh7rQyNDRHoc4M1RegeuskBRkev1fn0A1MHjx/59UPfsDjfI6R5r44Uh1qYDpP8CPPNhz8TgxAY2cUSvoxVgVTnmODvE4pDbfRNLu0IdThDfMMUDXvBw1ButTM/iOEJeJghJTvY6xDrUIsnH2HiQ89FxQPPy+HF34jQd2GXJbALfglz5GtyBR0YgD0LPsvemifoZwVe2xxfML7FIY/SVyW5EdIWmFEgdSBNaiLUbqdYVXRlTsvFstWhBzRPJqVBfVHGnQ+3NN2X6Rc0zK15ZABEINIM7O27N1JNSBcYc58io3L4d0ZbstUPRIURX5njD89+ET7z+X5BeFeFQsIZRnGNWFwLYWExoRNQx0z0TX+AoNcWlK27ryvPIeV1Kri2CA2i0FnIaaEpJPhW3fB8TAcVh0CFNEjRzmubmODnfxmxU4HYPuQNu96Bb4/jh45jnM9CJc5CM0Ja9wAXfGOD7lRXoAhzPtN7ZyDyo5q/dA2OOS45DlQ5HzVlMRUjKAMk8kGQF2eTWRDKAnOA4V4TuhYARK/5N+9fuqZjPbrJBIC9lQXS9nGSIYh213dlEGSCscuTTDP/3pW/Gu/70LdjcH2MwGWIUrCvmhFGqe9R19DyI0DbUMaHMQ4/NjaPY2d3DOBrLuHYPO5iNpzjvdhfgvo+/D6IbRJjNdigCrnjRNSEG+RgdmzO8o6c0+ByTQ+/Njx8vQ7NWr4s9QRbQWQ39VR2e9vinY7M6D9iJsZasa7220RS77Um06x2+7jY3xfc99PuBI/a2TerJJZvSbac8DZNQS0h1nby0zylySQ53lpyQaY4SdOMa0X0kuKN1S+VcZ0BJpm/VIyxynI8j2H7PMbzwyb+HtZPryIuR7ntCe5ZOjg2S39J/ZJIEDhhXg8+ujcDx4T7mlxR40kueIKmgKp9p/oKavkFKORLT1WYcN+a4geOUWqFMBa97I4mKg5weFv+qrhU4HpUtsi5DWKQYXDHA83/0uRhdNUbcDa2pEcxddkxvAbaprBSI4gBFW6JEhxMbO/jBp30/Lv6u62OWTWWIkVZs/7BpN3eu9ox3GZJmiJzrleDmFUBxskaeJejeUeHFv/FHyJt15MGatPDZaIvAz7TNtqvANoTAEwZNNpaaRs3qpu10bsSBMVMjxepW+4v+IFx3/H6EBAOab1PjXRgmCyWD7eyksXcYRQkm7RT7mCEYxagGHY6VJzE+b4yb3PZrcLcHfCeGF6fgFajjEsGwlwSRtqQKDpNU0nmpgqlGHZQyeiXztZfhkVfkPth9PPCj2DgNZ9Y4pUGmgHEDx31z/ZSm7kIz05lNcmXSTHivxpH5YUSfjfGMhzwHh+fnIZ3miFqes2wSsMVhwGjUMrbb+c31E8cJ6rpFErMRUmKCEygPTXHTH/x63P1x99IemWWlJpsMHOcZ5uMkn+HgmsPGyvJVqIFip4PjmpJw025q5guMc1NvLlNiMU2vCY4hxxxDZjPUa6GvgoVOkkVv3RebXCemnKLfTS8bXnPmMJRVYnPGCK0OBFww2P3Anhlg8sBYNQTk8uXZVgQzFeNsQm+Ot1BvV8gpNzYD/v4P/gbved37MKxGYrxzhJo7ko0ceknESYRJtY98mKEo5tpjG8mGNNZ7FtJBLKY3GbILMoGA0hUTFHoGUNNZJt+8eoxjhMo5FQhUmCNNUjQ8RzJgv99Bc7TAJd99A9zrcfdCP9pDkc4x6xuULeNApMmNmubKnW/OHjAAHnjjfKU80IPjRoQQc9rtS7/cmDlyIpB5Ie97QnCY4LhIHGSTm8SIelRu6NRPRppJvJ0TfF4SWphn8pzuUihXJfuQZtmevGEAuV1f08L1APlSQsyTTHxVcWbguIvTK/JRC4DLsU15rsecNKTROs3qGvPjMSNg1keMTNZOXZK0WCtSVrVCO+hQD1pUzDXVCLBcQ0a1Lg/8SllR597HuSvw5boCyu8IcGjXLf1QbHLd/m2hxE+nWMmsuCGvAU6/GBHAFfTGGhcoHrvPJm8qsFzg+UoOIM1wsqa9NIvTK/csa4cHEhBXkyymdKZJkvBMlvvKCjq9CpD7GLq8lg7n8q/fNwSuoZV/ba6/JHE1+ew9ZqwZSNY4/9CYUz5aMmJ2CQ9juHxfSjSjRu9J11slrk3lLqbjr2GuxwPlDhE5cPi+Nu/zP+Jn+T7oacWp0p7TVEWC8WSo69Uk3Uez68cPwSG8N6AW5ln4OKtZUd/3a7gcP3jyspPPHgzz86QnnXSIBpHc3/fLPYRp5BaKHeVey2ihk7iQVzkLV++//K9019TnX4uulX9ji9Do9KJdfb8gGwQy4UzmCQ7NNoDP9XjGw5+G8e4Y69U6oikBj4FAzFqaihK5RN0X6CMrcgnc7aVTfO133RTf/8R7Yna4wmQ0RRnNBSpnDQFgSOuUOr3USu04oh2PUMxLZAQGDwqOk5nGit6N8hs4btIYHAkkm4GMRlM5cB1O7VNzZrcxQm8SYZkt2a/GcHU1oLI4Y18alLpkqRsDzJoM/uve3GEJAhuL1NOelwcAXytZtRHWp2t4//9+G976R2/DeH8LWTcWF4mGdOhKY47rEDFWp29UEIyYpnv4th+4JW7/qO8Asg5FUCOOWKRG6EvTrVCgdqwtIa4Ek10PIDJ1D5eNu8+LLqgfizYDsmU32g5dJro9WaoxZVNMfmYJilMr1Zvu2qHsDUKsGeHGM2csrO3gleY4JVVcJ3vJiDKtbmORO110N+ru2enUAiOps2XREZOF3JjZJwF7N/ZsUwNmhGgsLsfhlkYpD2trIFgRa2xXStuEJyIMvjDG0x/6DBw6eQhrxRiZRr/5GNlBonb685ICYflLLLelYYUZLokbzrXIETNNHpAJSr8+M+mU5SD15wky0DUMmVZpHbhEIqhQ1QXSwLRKszjDdrCLk0e28cQXPRHV102wl+9pUmCQjVBMKqR5ikrOjq6zL3CqFZM5bUzrnGDVmYHjNkXBfdZojZK3HostzkIymVPPOXLSKgQN2FGLFuB4ICDPGPyWxxkg6gRcjWFAQJsMK95j/0eNiAYJwVcxEUfIgxHKTwNPedRTsLk7xHA/wQbWxPjS63NxQDuWbM0oQM0RdUm3EA6MQP/KQZZjWk1QDgqczE7iAT/747jodhcDTIS6EhGZxqxwC95kx2xfPYn93826YGWDWWa33G4G/mNKlCTC3/3u3+HDb/woNvvDCOfGECy6fURDegzMMY8LPOCxD8Thm20BF3DtVOgGTldfGvvOhI7AiTfYtNGRhWHtcqTPUjQ2C0yuwbTCrchdNghDglWUSaM2dB9iEKwhm6YY7Q7wyqe/HJ/5289iPF1D0mTSz896TiRwhRMar51cEfsatsfVGJCmaSfgb/vCHfzin/88jg2OoxvXAourskSYETyylhzvXR1QGJ7PswTH+V50nhwwC9Lr6DsxqyMa2Mr4N8PGfAN/cJ/fRfyZBMGMmsKUiCA4zjdGcJxmetago5ZxktFQr8H2eBc3/uGb4Hsffw8cHxyXuayMNbnPIxry2fnBvTearyObp3j9770R73nje2QKvRlsYDQdINgJsREfAfXqNa1Faa2wsGmUjq0CO5e5Zks2SHuTJ7GrG4nNTBCdBsxa2WLXS+BBU16ahHdyFX3sGDnccg549BIW/PkZ5giGEYq8wpX1cZRrNb7lO26GO//AnXHBzTYxGVSo8lLvrW6pTw8kCZtHZM5z7DJEVVVIE6e93s4l9aO4LMwoda7TX/5kjPGjjwp3PhpzXOC4JquWPiYerTLfEieNRNCfjdCkUBM6mw6xXhzC3z/7LfjQqz+MrekGBl2KOmBThA1IA8cFHmv1mHwQ869GpuQBsizBtN/Gfr6DjVus4wHPfARmh+bYy+cCenlBCY6The7Z2E7l/0AX72rguCFyi4LawrEr4TQpZ+eiNxpn/tRzParJb4AZR5ID/uG4NhnlDmCTF4NyLZdOud624p8bvJE2qfIuk0vhDydxonXCI4ESYTIyllHnEtS33vsyCCge0AQxbARcB2oAxghmgczkL3/nFXjlC16J5ooa6/U6grmZadEYuSrM5JigfKuGEo1oG70Onsx9w5mPDHmYY94VmCUkitRqhKjQd8CAvRzmKvw6deedb4Ym/yK1u6Ql77yX2LAKsxBlMMV2dALJ14Z44gt/Dv3GHmbpTBM4iGyNVl2DghNWNMd18hQHWgBf9Q/i2WFa9uaVYeQZrT8BP9ylaoEuGNSUo2NuExY9YuY3dUptN0nFiYjjvce5TwiO+/Nf+WuHivq8DMFJgI5TYGkhbW6rMZzk30KI0aQPvHTKsmG33KNukO5gd3IlF/FkEZ+c2Pq1uoWNVuXo1BwvWLPESCifp1rJwHE/a+QBe5UczMHjGl3eocpbyarI24eSaQSQVBSczqk82Fs596hzV+Cr7Qr4yXPl7a65bFKyfkJ7OcXiZUyET/iz3J/Bbor9lPyGgDiJLjw3BZkwWfaSkVY7S0K5M1xIfmt+is3SdjvXxXMziSUDydvlZDnxAu//5WLR6vuwpqK7qyvnu8daPGjh66kD3X+PKzDBkApsrKkwysQFBWtY1xhk/ON1UkJt5KwyKtGOWjRJ4/yc7OsEzpXbOdB90TBcdA/tAi3B8QMWMAd6w9fhg4IedV0gHwzRMg+ZhFjfH0lpYlqVu6PrZz+N6+GVQRDsXYe/9d/9VGf1qvbz/pLiX4sX9E3/PXVQB2Q+BJmx1lQYOzF+nygugUgDJPVxDhz/d9/sq//gIhVxYxte+3AJyIjpzDFsSUSQCRapWKU5VtM0AnryaY7NnTH+5OdfiuPvvhL5XoaNZE3dwq4LVLzl4QgNzTiDUOB4SSbZeoedaAfr37CBBz/tYajOq7E/nqHOatR1CdbdGic2NNcxngkUsvg0yQepKx9Yc5yHggVpmuShoaREqEKmlWleqgS3qCuBWC1N3qh/TnkJ6p/rsazUvV6lB9WNac5DhkwmMpjCyBiW1CJfgKwscZ08hwpHHhYOcPdRnSAEWUhiTPJnpW1sa59spWgvwni2hufe/+kYXDmQPnJTBYiSVBrtacgE29gkvLuEO/ieeTWpc3vlYAePffpjMf6aSPruXtWPmFhCo2V5IJrOtIKFUxNh4ipGYUnWWirA0iQhnHYJmVc8m8gY7WgER6M8k5dRJRhz1J5KuN5A0kuoGAPYxj4JgPRiz8rc0mkYEqAXGE7QdB46qRdVtJpE0Ei79M/sdTsPSZerL8fcm4AjTY1AQWJnGuGS1AsNQsgW49i83wtWmC/NRqzI75oO2SDDXrmLOOV6Z0Geav0QsBp1Q6xNN/CSn34xdt+3i8OTw2poxIMAszmZrrmuAYtVk3Cx8enMMY34/kfJOsqgw061pxHvop+i6mcyzEzaMZppi3FGVL8RmiojzT5FzTNXQDmvMZ+bBXHt3kcsjdr99Slu+F0X456/9H2YbkwxLSl5BAzzMebljA5u7l5YY8FeX4iYRoo0Ag1r9/1rH4Y8G1+TCM5kjjtao7hthIzjabNeLKuEpm0ClAhyctdTsoFjdW5Mz2dBK4mVdSismdP0BAErAeVRxkYDwbgSYUywIkU4G6jJ9zd/9FZ86I0fRHoiwEY/QsqErrekxd6/vU8Cgbz/nvGk/SDpcPuF0rlmMjcqkN8gxYOe8WC0SYl+yJH/EP2MkhrOyXx1otiHZJf+EJhZAE4+aV1gOVzktTrtmGfAHvDSn3s5Jp+ZIS4jeUFUQWksXALEUQVsdHj4sx4BfA0wiXaRbQwwaws1DqI8QtFykqFFNkwwm08Vuxz8uVJyex1TA2coa+XlpgzEcix/vU5joGsv9dTiz5BVKdK9GIMTAzzl/k/BodkWwu0Aa8E6hsEYtaaEWt0vL7Bu2sgW9/063B/s4Qvrl+E3Xvvr2N7YwSzZx4DNnyBAxQDAxsMKOC5Zlb5G4pjj1wU4TliS4HhfNWYO24U4rziKdz3n7Xj/n/4DBrMNyVPReVAaxx3BTQJl1PQ3g9B5O0M0yHAy2UV9kxaP/8PH4uT6Nmb5XHu5nFcYDQcoipnW61o3wnhnA3AljVAAACAASURBVH/+zFfik2/+LPoTPbbSEbIuwXyvwjBawyAYo6XpX9Cj6slCrxFys1Qtkj5FhpFg81LTXGzkOdaOmg/L9c7zfzDIMZ1Oked8DRXybICqLDDOhigryn6s8IUJVjhj4yqqUMQlZskc5ajE197ua3HXe98VF3zjUcyiwgyJEhodLmZOF0HE1txSi9nNTF1tsI3n80EN5a59xDrtETTLTCPM5nNk2VDNn4YGu5KhaSVDk6axJhnkw4EQeZSjnFYY0rw8bDHvd8TYR5VhbXII3UcCPOfhv4ULJ4cwKMkQ5vVh08oma2RepPaGNRVVdzoJBTb+5u0u+q0GxwdX4ede9qsoL6ixM5ygpiFH0CKRfceyuNJ+WlSQ1+6KXCM4rlTtVID81Gf10cT7K5g0jHJ7+XTYlJB0KCnFQB1Kjio7vyG9cr5fN0SkCRhLD226z03r+fyBsZa5lddKJUAuHw0+36JwNt12aQVRw19XvZHEEPOvaq/CKBtKuuo9r3o33vmGd6He6bEVbyFhnOVYsC9XXZHur03kfj+lT7IwVewvmkL7n1NYs7hCmsUI59QD7zAMMoHq/P1pmkv+RMA3p3Mi5qWsjTrEeYaKcZJ5WhyjqmYGMnCKLa+wMziBhz3zYRjeZozJeoG5JJNy9PIhaMWIT3M2IpqrD4teu2XwVfzTzPOdVIDAcc0ROnDcUmFpb6s+IKOQwHiEhASOkv44odhynMLRNJyzX1fOqzYlm/aOhKMtwkZvL3CcMn4Ei7uRMSmZCMnAns/CaQPJlJkupKPeLKZZzB/OgCNjvB/wFi4mRTxL3U92rsYAxzBV4ytGwknPOfPHCLG8i9zEiZMRsklcJnc2RUn/mCppZFpNqUN5yTDqdZw4tPrtoC//gO/63MPOXYGviCtgILHLtFwzVlnXSp2xWlb5n13WA0ucaElcNaBbfyipIkN6M9k2DyVv2dWLZc44oNzTX9HTXo+PU77h7c94TQQnHdqcBBrWXkbAE6y8IsN6TamNf6tLBYozhEFdvsNnMelZTgnZJBmJS/zMqSGPn2ialQ1UkhHjQriL1DICSg5Teti9BzVbl/WXxelVbXiGz5WC8b/aqtRkb6PpHwJrKXPg3QGiWYyePoZ58/eDGycPOlvGnGe4Kg5+N2TEeQJ3ml8x/wM0uBE7xL2c4A0k85pCC6MAvwDdqNiiI34OHD/4TXBcMQOel4XokpvI7pUhNyEZSk0rMJAJPkeaa5rLtQGONEfwz6/4Z7z+Oa/HedPDGNdDzOsJsihDlCeYzQokPeUeIpQokKUJ2rTEVf2ViG8c4zHPfhxwSYhj/TEE6ywe5kra8iwVm8ySH7KyHDtLAdDGZw+c2Fk5pv+3daPXlFDvvq5QV6W6WUVZIYwSA5MjTjB0mM72kA8SFb3c03XZOkMjhUYlwp5pzmBNTdmiLNG1ZA+xJCID0ulyycjBGg68+gSFCJYHBKRYtJJYys81uUKhiquYwG9jxkx5N0AQJvjoy/8J/99zX4eN/Q0M6zVEyFE4jVkp3HpGi5jGBibwoCvSGtENx7jPI34IgwshPWJeZgVrB4K7utXWmFc34S9PzSxT1VhD3Vqy2GLT+nUFu1RoOc5NckxC1keJjkwsaiZST1AAVqIGhHrVksUwLbHFGpQaBmcPTLdR41kELDlRUIdICzNIXYCrBOn5fALHF9io6dK7jq2X3yDbu84IjvsftITcg/Ni1y12l41eL0ZV3TXka+NoUBtUyEYpprOp1gqbJjTjGM1HuOztX8Crf+mV2DqxicFEqsqKdfOq0D3k7zBw3I2E95G0hlk8bK0dwpX7xyX1MksL7IQncfM7fgu++VZfj7981WtRfoGGrOug1npK1mxVIFFjpMfaYAvtTHCz07qv0ESUAmGDhtq9LWbZHLubJ/Gw5z8E8Y1iBOsJ5cZRs2iOafxm4LcBKMY45HWIutSY82qSHEy12XafXWG7f7Y2zdSUuu0cSwukPx7RzErSKtRC15C5QJLYRKiVdJG1Tb1kTTnE1qVX84nErJSUVPu5srJrQC32MAsw3Z5hrVsHdoBnP/J5SHdTbLZrCGc9Emd8aPI+ptMrcEYatixf+Vq4nkun4+v0azszQCWTD0c63P0Rd8cl33Ujjb6zJsTcxvBWl9cpgdx9y86/JU/AA0/WLyTdsDEz4DIHJgTHX4bJJ/cFQHPPUJosSmKkQYainWMa7eI297k1bv+kO8kIseBMT9QjTM04gNBLUc1lIBdIRsrRFdSMJqPYmmu6/vq+jY7oK0qEnb6wG5MWC4LgnkB0yqykSNsU0TzCcG+If3j5+/Cm338jrocLkU4zxA2538lC6793Rp+874TRNCkhtkaDab6HyzevwK+/7lewvz7BJN5FHnJ9ACUfx1jUk4kRouGaIWBA5nhPBq0hamciq2Ih0ZqVbMSxoI/CGJuzTVzx+svwZ7/2CmxOD2NQs+tPcJKSPKT9sVjgIugQhx2qrkCfhjiBHbTXAx753EehuGmB+RajOHWO2VzOxJZrgwLDMsXoshGe+tBnIL1iHZvlGkYE6HguUGqkj1HPG6S8Fl2NkIk3x+/ZnNa+SrV/Kc9QMN5J0934yJZ+c3LARtijOMKsnGOcraGmIWYPyamUJcF+Z76po7lHFdSY9yXKoEKbtdKKvejrr49vu8st8I23+wakF8XoBz1OVscxD6YYbgw0eWGxxYPcq50ifw7Y+lqV1PI6k6cUcmeQCR3koXwNTdXKOJPN4aIq0VByJuEaJMs+kE8K2fpJGGGQZvIB4dkkrwl6ReQtJsUMCIfIZ2vY2hviJY97GfbfdQxHO+qO855T7ogSIQYqMc6bvSyXUgj6JphEDmV+5ujXGlwZXYaHPO2h2Lzzhdge7aFOyHBvJSckZQK3r8+kueABYJ0MLhFbnJf/JkBuV1uNa45ZLya6jDlNkJwNPzX/aeTHz9IodlmBAHBHMpAzs5dV4dF0anEs/XEnTaV8z3k68DEie/Wt1nhTFIiHTIA6TXRJo53GoKU1+7fffRJ/9Sevx2c+9FkcGZynhvVsb4ZxwAmqJRho8dox3CV/BeRJLva4GiY+L4tTlB1jb4C2aTAKUsWujuslDjVYtFdM9Tqo8R9WJDkEaqhJXlD5L0O2mXgHXSNWe8czMO6xEx3HbX/89rjVT98B22u7YuCKrMDJgziyhllAMoh/rQfZAV/tj7Fz0NEkDBx3/hzOU9tNhhp5RpOelABsuI8tr0kKk1wR4Ufbcjkh4cHxZY5gAFDHNUMv36hBPyQ4Xiv+qm52E1/K8STEv5QiVDT1W8BhKmcEji+AGj8N4ia73Sli+aKds5S+orQKmZQEx1M2vRbgOFnzri7xk7UCx22qrV4BxyWpwI4Ytfjd1O1Bm3tf7av33Pv/6r4Cp4N/pzSZVgDf5biql+BdnrmeNLQAzk9hkVu9bNPWzjOJdQEb1G4ymka9khzRgWwkHsULdb54RjOmLnNCP4mm6caERr2FzjbPxzG5WMfAlgC6z3VWPy/zj6Xs1MHWglXFNq3GD9VAmvBLlGcHU+IUicBxTZCKbW+6rF1McLwUFiASYVhrCsj8YJbEQDXyF7Wiq8E9NqG67KzBuP8/e+8BbltVno2+s8+56i6ncCgiRdSgESsqYCHGaIKaWBIE9FcxYsOS38Tc5Bp9NJboVVFBkRhrYvzFRlCvwYoNG9hBjCj19H32XnX2Oe/zft+Ye+0DGmWTHC5xL93POZxzVhtzzDHG935vWd+gNc8y6n1pbNgkw/lojyK4sWJ9pV9dG231no5NuMyyLBbtB/Rxu40qgzizleyF5XLxEsJxZAuzoCrpQWwsZvQG0QJJbsLVodFOfCNMnoG5B3Ts7vBv1oDDWlzMpDT6xbTiEH/LsoLvBrKoFXmJKIjklFUlpfiNWzscvOnMc9Dd1cXcuIeu3UZSTeRGp3SUTDOvClHmhmlVT5D4YySbE5z2qtOx7UGHYE+2G9FCiMl0JHYF9DqleiBjd5CASB2I36bI8QhS2VPUZJwZf8/1XAz1VPWk6LcYdkY2kk1WeIpery+2Lfy+vhciThiuRIa0gm1pHitLlwCEWaAa/8614Hjj08qxJGteuqf0L2bXVNqfpcjXOdq25wrbUVj6xsucG4dYc1CSmFkIagItNkCV/kqOX3z/elzygUuQXj3FfDEHNyf46iFm8Jyt4XYm2kml8tJV5WZF9iwxuhydfojJYCccBlLSNqPjI9o8h4OPPhSdhQgLW/o45E4Ho71tHuiatVhuyxKg5zEp/uZeFfCQ/23UomSkplWMyslgBzUseobVqbDmatdGtoYNqoXlDGiVwBBhkzkqVWKXmSxZ2kQXZJYBQd54UasPdcVNc5URJgR1heno9y7zhsFGmopNf+UiqlC43IBNR1YsetRzbf91ZRZuZES0ct3ZsIjjCbzQghvaGE6GcFzaJniIshb6ox4+8roLcc3Hf4o7VYfAT9muAKZ+LJu4n9Db10bKBGsJsyNZ20VYGnCT8KVViKIi25Th9Jc8GVvuswWScbuc4aJzP4WffOFqdKcdtItI2GVplgE+7SVKtNGRhoyWXoVaaYiMwJH3T+wEe9xdOPYJd8XjXvqnmPhjlK1a2Gss5DnfVQXRALQyU42/Lq+7yvXX82h63nzFxqNT5qa57vRQ93mooAw5s4SJL5519GymYoOWC1R1iDW+cToWSqEKGfi6ZG/yQasg8U/OgYJBmGR8GUeG8VKKLgLs+vpO/J83fxCdtIuobNFIHp7xqjbQuHHgViMb6REJvEBWvtofSFCesMQi0zzIEUdTzN13Hk982Z9haCeo20DLC+TzVAUD12YMDmUzzLz9eIhsDoyzdZlfvVGnkPlno04d0InqIy/7KPb9cC+6aSSSxpSKAX7/ypN9dewOkR2W48nnnIbuPXtIOB/o4WMBk3iMVjtAWeYC5LC4blgiQgc2ip0GIG+0KM09y2lFAEf9QI39CVcd4/vOD+JxbLieFQ6iOEKwK8C7Xvp2xFdOMZ8vwIlDuKAHNVUOxarqhV67bBHmq0BagUkwwu7ebrziE3+HeFOCgbsMnwGhro24TKUxSXBdWPyWNjkdetz9FwVy6japYJgczqsKgeMjGkWIbuzg9U//B/R299CKI1Hf8GFxzReLGK7KFRwBoalgqTCoxsh6FU554WNwxJPujMH8GGxfsDFtxzZaPm2ORvAnNro7OnjxY/8Sh2ZHYku5iLmSTeUpSso6w5Y0iRSwp9rJwbhOkJQ5IrsFHxHsKoTreMjKqQnQbCwvNHyVc0UKDcr9KyDy+JoVSjZCxdYml6ZiSna4nco6UkQl2oe0ceRxR+DYBx6Lw+5+GNy+gzqokNaxeIl7kQ0nsESFRQaNWF2IhzbXANorrWUDNvNvDcNJB9GcBdXS5/Y6/7GJ1/U7mIxojVEj6kSiFMuKVKxoGAbpux48x5EgR0qIJ/EUc3N9WbuSeCrAueMHyBwPUdlDf0+AT73x0/j5J67EQtKT/Y5NoYzMSkubhtzT6BjPe5PjRV95KqY4B3MCrlGGZXcPHnjGCXjQ8x6KfZ0BMo/npUL3U3OQNjPyNjPHFf+aSbB/U4BcWFYSYM4muviK6KlTLNKUeeUQTMs0zFBUW+ZeYxNdZMz08zSNfHlf2aZvfpZV8E7AQukoKDDOe1dGkQu5ZyOLJ/DDgJ1VZHsS+PStmAJf/ZfL8MNLf4AgYSaCjyIppAEeUj2Z0LbO7H5rWFzNzCUBwLFUeSlnQYL6tgXHdZFOU1F2cT2kvRIZsSQRxHaKiZPBiTx0O3NIlmOEiSuqjxabZMxbyEdwPTYMXAHXPdeC54TI6XVqOxhbA1TH1HjGPz8T+zavoAwTZFUmgb7c+yrapRGSlfXodisD13Ns+P/Rc2asPYV25SSjRA+jMlNNjBIrxO+dDS7JpDGsyZhKCe5TptnesCxN+HajmJGtRuY1CQm6XorC2uc6rFYDwqSUgE6yq9XQRZv4OhsbcHyNe8/+2NGtHtlZ4JCy4xvyyIxoJWdHI+ETNmXiwmMOVUpwnCCI1iMNOC63sJQBWguwfsjchjnOPBQSUVgA6PczbdNb/ck3nrAxAhsjMCMnzbC1/feCph5ZxYrWNFPXKgzXjuV+z6HSXaynGos0bRgTIObeL8SngkRAtTyTkE+xoeJ6qQpwfb6uo2tt2tgoS/1UbElkbyXgTNa1kHGU3KHgfVOf7gf/G5u2pq6/9bNhtTYypLHmBETCHIl8whynFZvkkWiDX7hlxridlrIZg+dDWrrSmjUXoF9t9PQMM7OVa9bw/1nguPIVVJFN0lQUB3B51imIT5RDb95/oz/nvsPqWntu/RW6bc+43U5F9VL9O9M90wvquD6BDMU8IjiuHmNkjYsMQwAILX7Ux01T65XBaVJ4dMu/baPwW/rstaDM/l5TBhoXSwobJQOfLE8ChDiLCRjRWzEqI0RphA+++oO49rM3imXEXDYncsDMilH5BTICoRYB3gBplgurzF1wsDO/Caf9zWk4+k+OwT5vWWUlZYoqydBptVCUmdhdTF0CepwHkbDdfAKklGI4ZNUQ+FAW6Xoe0lwxHuG2CdrjmLgEWEoL8SjGfGdBvjPBcS/yUTmlAP4ElISkbGxSJNBJJOl6cG1kPnmRCzNcLDiyUl6X0urApvUFrR0SYWlKs6GshfkjYLAVaIAPWX78fivAjT+9HtdddS22/+Im7LphJ1Z2DdCyuij25NhULiBI6W/L8EZllInFhwl/q0W0SQCWMB8ZngT11IbEswjI5vAcC9MyRuFbGNQJSlocUdbNoo0M1cBBe76Lg+90MI444k5Y3LaIzYcfBGvBU9C8aWISGKfTAxF8AuIh4IQE0UvkVYKsSBSM9hykZKsqBc00QBsLF35GAgEsKFz1LMwZvEmGpPqROmTfKJpC+r2CKybUqJkP6oVIv2PKdwiMs5BgYVGh9GtkbMhJoKUesylJnQn1GxShYTbqF2yaIJw/BJ7LIofrKeDD3IQgiGBlDoJxhOI/cpz7wrfioOVNCAc+elZP1rElLEtxy84550Yh3W4OoavguHjXMngwk7Da7cFOnPrSU3HkQ49A3c8xKpbRsduwR21c+bHv49/edjE2W5tFxsV51JnrIY4T9XeUkEOF9HktNcrE1bMI769+ihvca/Hyj70O0+4YSSeD23LEVkUAZcGkFSBXMEqDXbV51vhc3vo7cO3mo+C7mQfCHlc5Hg0oyBh3MlvAcV57NozEy443IFlUMuH5W0vuST6okCdr0/OZXlULw7PO6I3tSRNMKLnsRXOYOThLwCXn/L/4+bd+JvKuyO7CsQK1cjKfi0Ep+r/mGGQL2MvMg9qKRc3CA5mUwSW9s3V8BhhgtDjFX1zwV8BhgrnLHlfR4oOsY3Pwk1akYTSKnE7m7qwA32+bW/XYk7sZJe3xM+Azb7gEv/jSzzCX9uBXnnjhk7UoR03bRuYn2BXuwpFPOhqPf8njMfRGwsyiPcRgOEC7E8ERQLQUFY2wog3oo6qYRh2j5Ta/n46QlsDqxa/XQIrwBuw01TmBr8ZfMMwCdOIOrrnkKnzkNWRZL6BfbkKdst2gBbBDdrocmDWITpjeAqJliIMx9kR78LIPvAzpURkG/oow98TqQtZVLgZc98gQZ1NKRgoOAUkDCImP/62fug3kYeTf2hAs8gKR4yOchuikfZz75+eh/mGB/rSrzJnV4FUCdQEcsuWqVD3ZXTaqckycFEc8/Eg87h9Owd5oGXGYwnIdUIAQurREmCLMPPT3zeGtLzwP+dU2OsMWNoPN4xpT5hi4tPcoBKwP6QPGqS7B0Gw7hLDEcolXjlA6mzM6h/j5uJvqcZX7Lg/vbGgHSOJEA33rDIWbYblagTPnYuomOPiYQ3HPB94TR9/7Lpi7cw/oAYmXImOYJPd10EucoCCk8cx5xXuVr8f9UJtjyobkct6wmfV+MEwi44s521t1rXCN1/06L+FtepqcUem45jgCiotfJMFQx0EriFAmBXzLRzyewiVzvBthmk+F2ZsJoM1mN9dhGwM2LqwOesM29nx9Oz70N+/FwmQOYdaGXQUoJORWQ08JjqtrPcdWVhJYrouyroRFLueu1hjbTjwEj3/tk7DUGyJ3J2KB1diCrfUEXu8gNMXhTO67/0lcl7UZaL7/+8wCrPjnkgkhZ3wthhmy7bJBnLmwMw82fciZDbF639LKiTYzPA+usVZYPQqa9xV+jfp3as6l2XVMkcrPziaG7dmy1uXTDA4B5tBD8r0JPvz2j2B0wwRhFqHttJGmqjri2pLkUwQ2M0HMSMiv+ysfhKVdaBAun0Ml02pIacked1uuJPN3siDFijvA0J3gXg+9Dx5z6qPxzc98D1/5ty9jMZuDO4HYrvA+GpYKjotqjvYqDoFuH3bRFgUflSI3hjfgtHeehrnjuxh5S7CCSmxV1I6ddnieNL42mLfruwNm4EhzblntkjSZs6vMaeFbmFVWKls2hniuSW0JoIWca3hu8PRsYxQOSpqc+QCLotTkbrBBRAKSgOOizqwEKJImvfjWqp+/niP0oevn7D5tjt7rG4GGzGIY9GKnIFxMVWoa7/XGd91l/ZZ6Ao6HtJPhYX0tOG7YomLRJpuyguO0j5Fzelij9HNRaZKUoXf4+m2h1vedN561MQL/k0ZgrS93U2/Mvt9atZ7+6X6QsKqsm8JkzbrSvMKstFeiZVPPiHUUG4RsBlL1yIXJKMKFBGc8y5vzShPwvrpyCdu4kvqYWIxwd7icUEHDRiHre3Gg0JqsaViuvXKr58t1Noeb5yt2NlO8Sx6aWKuoQpbNfQLkTQixqOxVYIzcztQtwy9Q+Ip/0iaGOI00EEy+mjYeDUPdAP6y29yRmeOcTWz0kiQjMUKusMclzDRTy1oncL7e2tp6NubxI0tAowP3uF3A8Xpn3UaBPxwvjd6MwjrECm3krQyZn+tkZ8hVTa9BMqwU/GY3vAk6EeaiaNONHGMDHF/XjFFwXJ+6Co6bYqaROgu7mYdpAaQcKfZKWokUNfrWHP7j0z/Be1/5fhxq3RmtSQetvIWyVoZqTU882i7UNXICw6GDvJVjZ7UTj3jqyTjx2Q/BbmsvrHkt+ujb6lsKNjqhLQBHTtBRfP18AXQ9hi4SjCIDUw6ALBrXB47LVsDCtijFn5ecdCurEREUG9doh13EO8fwaGfS9oUBObYmyIIMdt/BNBvLu68FsVY5E8ZznCwh8RM3bNgmxZlAHT2P64jMPrJimWDvoevOy0E5uzbFTVdtxw8v+xF2XrMDe67fI4foyAmkSKSfLE+6RVZhPppHq4gk4I+MT9/zUXDMiwohWuYuYYGmkh21VSFtlhYFZN/T65IgvCWyeM/3MSkTBXodZTrzoCpsYhlzksUd6dCmSGG3bfS39XHY3Q/F0fc7Cgf9ziHAQZbYs9Q8zHolkioTr00CmpShE88kUIC2sl1Wt11jWSEAmgndlM2TzDEyiHPdTAmcig+prA9qQNrkajUELt3z2FAjY1znIoEJAjbiL+6SKc8/nwn7tVQ0nDoTiKH/aQDyVdZiUxCT7E+dN8MlMpHUkwlGgLWdtHHp+ZfiC+/6PI7xj0a9UqDjdITdx6A6btiBCXBTjF9BX95nnItkZw69IcbzE9z9cb+DRz7vDzBtjZEGiTRV/NqDN/XQzhfwow9dgU+8/WJstrfCywIkSSKfqeUGEroVCDjHh1pjMNBLCHduiak3xl5vF05/xVNwyKOPwHJrBaWXC9DIJgS/vjCiBYzS1kFB32zxotfGwvofzRakry/73+p4axNUgg5ZSPLQlCrTQD3cDIuKh40mCZ2HBWEGqs0FH7Qmkodm6QIcmn3AdCnFdVfeiBuuvA77rt+NdGkqzEAC8BmBxaAjvq5K5VbfV4kqVNqhgFoVPdBlVPn3Ohbqv63glSa1WVjxR/jj5zwBmx+4FegDZRviBy6rl5pnrip1xK7GFNOrjIlmCvIlDYtfwWhlypMhTynfN973HVz2ocuwGC8iKALx+tdWCNmCPCpmmLanmB40xllveDacu3kYhxP4USCMV7HerTUngQD5rHiezX/5ls19INZWGvLH8ZGraBopsq8IMCWSHL2z5B/owZi++t7URieexyde/VH88OIf4U7+kRImKk0qYeEXJrDPF+hW8yYqFHYqtjCDaAVnvvaZmHvIAgbhQBqmlm8hLmknw3VCE4RLguuyDjMASCxaVxnL6529AgJQImrTz70WP+Cw8hDmIdrZHC4+52Jc95GfYmE0Z5QENsoqERCT4Dj3nKpM5QBPcL0MLIyqKYqDC7z4/7wAw+5AGmMMKbdTnde2V8HLPMzli/jRp67Cha/7N7FxaSc8hFdiqST7bZmj02nLnpqnmfjq+06ISsBorvS+rOUF1yG55xgk5AgjWWFYAq8VRsjFossPPMkJQStFvVDiqJOOwrZ7HoJ7nnRvaYBKmLFbImPAp637DA/4tDdKklgaAbQia2wrJOSXjWWR+WggL9mD/FVWY2MvINZDa84oLHQkF0IsfaiIUCuf2+OhUKgN13WQFKl8zNAPUcQFrNhCy2ojooIkt2C1LVRpjQkmyP1CgnB5cAhgYzKNUYYuqgzYai/A3+fiLU97HYKdIbyVFry8pWoDuTYayir3vblOAo+zOQPInk92Zd1OEdw9wNPe+Qwsd0fI/bGA400xpUNmLJDWeQM0oy5r1JpLsPblVpfy/S6Q2V/NOim79Kptla4XjWepR7CQa33OH1Xd8fzDkSdDyxNl2ezNbx4/o3ibvp8wsehj14SQNF2xqpaGsk3rrTEtr4CvvudL+O5nr0AraSOsWihp6wUbrXYLZZkhTsbyMrwiM0hhthNyzW3WQWGLs3lfVWJNSBCeDRSqDpGT5ZZLA3XaneKIk47E75/+KMz9bh8YAMNrYrzxRW/AwdMtmEt6wq7i90jsTG15YgPHFgAAIABJREFUyKxzLIyrKWpauTl9lGwiBMBO5ybc6+nH4g9ecDKWvO2iKCj5PfmZSSxw2BrboBatd+0wO6KZW2uOLWtecKYEMy0Iky0ktwzBoYbwQfs45gkUnqi8VELTkM7VTkVEDuakLGcEuWc0cL3yayGzsNHNQHk952sek64X+qGUfa4gua4AvwTR+o0H5GbguOTFKDgugZlGNZbL73le9zVvJHYRTAke7Q+Oi5WROg6sWj/RapH2MQqO03ece0sDjvMG1t1q47ExAhsjcNtG4OZ3kZ79m7qk2SjW/qvGNmlNI9qQ3G7eEl+F1M2BYPXsYJTCrOlZ37GGYZilqIXZLJQsHK2v1XGlaRQqUZYlnqxpVIMTUKZlKwFyjyxydaFoQnxlDV0l4TW/bWqvWz92M/IGm/uKT4qWRbAeYlUeHNpmpQqO8xwjZ5XmgESGOwl7viqA6JyRezkynp+l+cfVjeqwRpUjm4YJU1ccRkCpO+z6p9iYMOlZE8n/WOs7cBIbdSLM+Z3dxd5LEOLfrM3W6NZfpfU/43bZVeql+tB8KXt9NsmeaFm2Vwc1snaOxEuQcuMDLY09YTxSbckjp8rFjMRfwD3aWfDjr/Nkv/4x+x/zzNmhSVmrDdtZ61FdNMSsQBi8ntim0vu0TmthP1s7a5z//LcD11mwhwG6mBNwiXM9txIBKsgUprS4qCsUYY5Ba4Tu3Ts467xnY1SvoNxiYSVdEf/ohV4fWZwo0BN5mGYJ04YU/JZiuWEmGkCukRmu84rwe9Lfm/Yp3bAHK7FgTyz06h5++KUf4KPv/giSvbF07w498jA85JSH4p5/dA+UIXDt6AbMH9xHmlGW3oTa3Oy4LB6z6tNO1r1vByohouuF5Ys9zXg6QkQAM3Ox5xd7cdU3rsKVX78K+67ZB3tko4MOqkktndTQjUSiSxCGgCx931mcTYcxWm4ofzbOBoiCEElKVmoEt1IBNpmWtYDj/JWLLf01LdhkZTD8FOr1K1YavKfsSr0uWdgLICpHXd0ExEOQh1KaCNcSKMemVu4miL0pgs0+jjjucBx176Nw7EPvDfi5BBFaEW0RKiSlBpzakY1xuSJFe7MRC7tGWMPqJS5AODvKBMUZ0sVgRm6k4kGvrGY55De/aZYDrZ9XwzUpwRLZqasSVIaXUYJF2bPMA7OUrAr2V51i9l9fmv9afV8WvgRJc94rDlzXRTUuMV/PwRk7eOvT3oL6ugrdSReduqXqADI2PVcCUwla8tEEo8l9ZvgwiR9jt7cb9lE2XnzB/8agN0TWzUSCZRU16oygp41e1YM7auFHH/sBPvq2i9Av5tC1e3By2ohkzEEVcJzNBNKk+axMQEYy5TPxo83aCY76w2PwyJf/Afa2VjClfYPvSPHGa5LTO55EawEmLKQk5ZINKoFO61+DCbLq9VuNtpwVmxxXHjRq9eWkpZIEoFGKx/EujeyOLXgBxwFw+1CqUtPPQLW7xI3X3ojt1+3Ajmt3YteNuzHZN5E0cQKZBBysnGtaIKCBQ9CAACPTzhikKwws/a6qRFAmongBG5CJTQ2RShttgUjkTfK4KE1CC7/3hEfgqMcfDbSZeArUbQKqbEJombpa+q6R56uMUAHYxotf7Yd0zMUehjZPiBEWHfzskl/gwtd/DJtHW9Ep2ihJj+e1k4MkQwLpkVFjn7OEu//R3fDoV5yCaXuMaTaFwzA6+hYXvD/NPWG+z2yJNRoLc8YTpifD4pp9Whgd3K+1yUHwRu5NAsFiecQ1sZI56dJDtwa6SQ+TKzK8/SXvRGeph07eluKaPSeqMXg45L6i9wZBwFJYybEfI25N8LBnPBz3etp9MeyMxL+bvu70WpcIBAH4yZImqMQ9pAEXjX3NbcAGtIjnl7QQ046qthDmVH20UMYubvzyDfjUX38Ym4aLCMq+KK5KTIyNlg/XJv+3kv1OQOHAxriOsRTtxYvfdTZax/pYjvahCkppmmVc0wMfdWbJXuss+9h5+V585B0fwdLPd2NbZwvyYaLNhMDDaDhCyL0ldzFnddFCSyyFdIV3lJ1CSyBte0lTLuRz1Vle/l0ReZgUDHW1ULop7G6Kp7/lWcBWAO0SeTtF7CQCtJekO/IG0KVZpjOvNe8VNqjIcJVGjWtL4yOjVZkw2zVvQBsfjW5nxnjU/dXYXnH+yHqpN7gyI2+XY6zcg7ZjYzShHVFL5mk6TDHnzaFXK7h55ZeuwrVXXY+l3XvF6uceD74H7vqAuyI6KELuZ6jsTJq0VsuTLBEvrtFPuvjBhVfg42+6CFvyOyFKuwIkSTPG2AkwnJPf2qd9S5WLd3xNAJY3rku7mxGcoxyc9YGzsNIbI/eGCo4beJ1BgXJ/Gmbpeo5QqwXu2iev3Qp+yb01++umIT27D1c1OWYvliBuc/aUvBHuRSnVQ6om0zOC2jg15wejWL4ZNVY/oKyb6g61yiAX1nVKT3hfgPHipgrvf/P7MLl2gD56CIsAVVajbJrwDEKsMtm12QjJSVJYY/MzawYYEJIqFdrlWVxXc7F6YtMuTmJpfqe00uxUuPNxd8Lxj30Atj34cNS9QiyW/DpEaxzhTWe9GdaVwCE4WJRmPIHlbEQVqfjPB56PlWIgzaXQ7SJjFpBrYRwN4R9r4TnnPAvpQSMMvRVkVY4wCKXZQMtAWuLpvbTxuLUjoI1wHbtVhVQDXxvVl9ylJvRS5rexQ+O/F+Uhz7K5DTd14ecegpTsf7L7TUPfKCFVLWUczlety/jOJjzeq5AHrLFKFLQLdDS4smnWK7Z+y+b16kJ9a798c0oTiruu3dI+Mvej2vjpGTuXQHOeP30EeQB/Sks1X753E8hZCtlCVxQJWTe2R2RNkcCS+gXKiOB4gZLB4mz6G3vADXB8XRdv40kbI3ALWFX30bV469pN/Ob7xOzspUewBrg2IPZ+2Nya08KqVFPrGv4NazzaLAkwyh/W+0YlTPxBhI+rb2+a63wmG2yiPDOWUgTFG4spNg1Z5zdM7CafcO1+dxvOjopV8KRsbJ8FGzHNSNarbHRmmpvC9V2+H50Kmu8v2SlUjRYoglzXbkMQJuGB3ffVMFPW7tpRVSRG3ktWyzuwLZpiJtqt1QtMxwGx25nacBKGV/uFHwUXOVudl1jz1rUH8pY94FVFXdcOduOBk+3Dd7vwjpFCOqyQtjLEBGlslZsSsJBEa7IgCI476qXGAkyZr8oc3MDG1z9dFGxuDncKkM/8hY0Ehoed0kLLaaGKS4RWqF5xaYUv/8uX8Z3zvomF8SI2dQ/C7pUlbAq3CDsmLWJ4ji1BVHE+gRu52GctYbxpjOe98Xno3qeLPfVulD7g+h4CeJiMRyIS9tsBplmKdquDMlVgSoL/pAtIWig9qQLtKBr54LpGwaoxTcbYNLcZ6XKOKGujU7fx8XMuwvc+/T20py14UwfdVhv7kn2oF4H7P+F4nHzmyVjxJ8jbKvHTkMJGMtRAXApqeY6rARR5JWCeX/vyI0z8aYDyJuDbn/0OLvvSZRjuXEG7DuBnnoCAIUIBhH2L0l2CCwbIdcnqrCT8qx/MY5iOEHAECa6kK1J80d898rpATsYlF3Ay21iM81d261oCONQYoU0bmzrANKFdDcEL3l8FyjRDZHfk5K8CJT2IkwVqI1BAg7JHY8nieWRHFYizMQp6jLeB5XIZh9/rcNz3kffDMQ++G5xtHsbWFFM7EbsVNlCERWiKCQ3w0KKYGwkLV0qvyBpTe5UmBduEmFJyIF7CCsSpywdP1xowSEYNmTQFu7MeGXa0UWHghSZc87up1LrpgmsR3Wz2suXLKtmkkc5mmlx3vim7t2T9OJGw2uwJMJ/3sPSd3Tj/xW/HQdXBsIY2Ol5XPLIJc7DJROsgFcbTWkYh8WazZQEwDcfY19uLJ/71k3DoI+6E6RzDR5giZiGkhQ5sJNYUgeuDPdVeuYDrv3gT/vkfPgR7l4N59OFXFvyqhi8ebgS6PeSwERtZmkVrj8jGsBqgd985nP7O07Crt4LUITOulmBQfibac3C4fALSsJC4PIwoY3i9tfVqE04ORwZoN+OsRHAW7vTjVEY9wfEw9+GRPZ5UIn/n/KYDh/xMAeyCKC2u/em12L19D679+S9Q0+OfLvC2J+A3mwoSjuW6wmiVuVc7EjDcbfeRTBMJmiXLUMBrPesZ707TdSFjSWR7U7WjqFrila3u7gVSKxGvzNQq4Ech4kmKdj/ESX/4YBxxwpHA0Zw2JSyyFQW0McWwARVl9VhlCXB+NNLBxnNOQWix7eT8tqai2hl9N8F5L7wABy0djIVyjgZXApAXDqXWZG67cHwPo2yI4fwKnnLek3Hw8QdhZToyWQEMvaTGhD5+WlDrJrv/debHbK4RAcqIjM6aIWEVCq4JDPlkGJ0ERar6h+B4zs9bMRiwhssncD4vO9iSbsNXzv0WLv/Qd9CehgiEUcDvRY0Dw1oCUUpwBnMlmhIc92IJ5Dn8oXfGY1/5BEznY0zLsaTA076L+REewXFaVhlwvDkwKPN2FTJb1/bB70dbD97+ZFh7jo+WHIID5JRV3mjjglPfhMWleTh5TyyCLIvMcYbc+nBsT9Yt2l9x2eLYxG6K5XAJJz/7JDzwjOMxCneiiDJZo7KcTbUIjBTwnAihHSJfmWDO62Fl+wQ3/vhGeMMa+SjDT6+5Bkt7B7j+mu3o112Eey14Exs9rw/bdhGXtMxhw1HnM+1qeK1DNi7k0/CsZWGlLtBuLyCbZHBszosBqoUCp/3tU9F+0Byqfoo4jPWMzmYjrYV4hWhBVLP5U4lSiPZdRUk/7lyYrgTbZW4ZdYda9qwxtOKeIGsBmf6qTmg8qpVJo+u/2lHdPuAe9w8v9DEcDdBpdVHFFTpVG52ii+9edAW++C9fArbXcEYuemEPaZViqdyHqlfg3o+4N0557mMw6U5R9AsMkxFaUYB6mmAu78Id9PGGp74awc55dCZ9hCwY5T5UpRPvCqpL6FbG2TOpM9SeB1DJwnlULmPuuDmc8c7TMeiNUHgjAZXYBBHlkEx/rltri85bfxvsB5DPkOH9Xmj16jQF9OrfGlTbeCLPTk6zNY4qHWk6kyzDmkA8yD0J6ZRgblHrmPVZujFraoK1jfJmXTXMs8YCjnsvSThsZOz9zl584vxPwFqxUY+YC0MrcgdFlcGnvzfXr7RA4Ibw7FACteXkYPxBm1BS/TxUO9rwXV/ubzYwRGUXWEjqGJNiDP/gEPm2Ar936sn43RPuCfQKlK0xxvYESZWj5ywgWpnDped/Gd96z7dxcHWI+nFyrQgKZGmKiKdE28ewWoHl1GK3Q3Y4sxniIEU8N8aZrz0T/ZPmsNvbg9LNlLVehJofQABBGi4bj1s7AjNwnHuxtl2F/WzIGmzcyPHUeOxyfjD8mucmyRava7icI4WrjGp62sfM49gfHBe7KaPc42tJrseqTFLDqZmfQwA5j0qUgZJA5Lry/jC5O7pMmvyYxgt8TSP+1n5/ZWGuBcdZl2mzis1t9QwXSo7kRrkI4KcBgthFNOU9vAYcp2ewIQjw+XKW5+dlE9XOkDCriN68EZnybOimEr3EkOI7LnPy1o/4xjM2RuC/agQMLWkVQ9sfDNS9ecYA1810bV2stbruczPbktn6Mnv27JSw1iZPm2os32ee5EJ2ICeJGACJcYYExb2eOBTrNsltk4wGQ4jiB+MfcW1lLcQa3/yQvCcZDBJy2ai51p4Xf5Xt268fZQHHZf1R1jrXW1Ghc/1iAHFJBbmC47QK0VBOumGY1xaBJOulHDmZ41GJPMiQMZSTg0Cb0CaDggz6NTXhbM++44LjGoaqqASzd8iWzzye9x0EsQNv4iEqWiiq+pro0PAZ2IxvWBYpugfmcXuA4z1sx58Ob1x6UytqdemzWUY1sjDXUCerkEMogRCyZXjA4LbZAOOchHrXKqNxAxxf/0RpwPEmPEbZDzq+AjxzgWI4EX3AoxaqaYl2ESLKWxjfMMbf//mrceTozmitkDXlIIzamCQxsjpHL+pJ4FTHDTEpRkiCBCvdAR7x3EfguCffBwN3L4q29MdQZAVaXijgLwMeMwJS9FfNSgFEJFCRwXEMLhO2G9nDDLwjOH5bAgHJ/KqVCV+0EU07uOkbO/COv30ntmZb0EkIloco6DMZQiwulnsDPOf1z8fC8Zuw4g+EwchFt3k0hZqmFisQ13ZaKp9kaB5CVMsFLr/sclzxue9j57eWMFcvwLPYKa0lZNJvUu3JRLU8ARkaZy/1NS3Ur9QNhLHsuxEmRSygkRfSazkTpnpNaRI9Ztcwx2tJs7dR1vxzepInAlZMuPF4EdzAwXg8IK8Q7aAlLK2a4FLNxUtgD3k+Zfg8zDLkyfclYg9VTmsJerY7wgxkABuZHnEQY9lahr3Vxu8+4l446XEPRf+oPib5BCW9tkSSpJuUSJLEs0uDi4pJriwxvoNsFLpJ0sOXt39KixR6possSxIY9VJQZuVWKIzUtPQZ5qP+4tJl5swz9g6yOa9RVymDTYve2cOgCKbAkD+X0CUyXDVAwqZFSs4at4toxcfX3vUVXP6v30Rr0kbktrXRY7vS7CBLkA0hlszk+GT0QqdEv6T9Q43EnWLY3of+A7o485znYDncg7RdIC1yhHZLwHEh/7VyDOMBWl5bmi29aR97rhjjorddjJWrl9ApafPgICwpQacFCNUBNmIDKgW2hSQfo25VGB8S4+yPnI19C2Mk9pCiDXj0+q7JHFfeLQNQOd4TX+0NCA6uBpKt4SHsB4iY/1B8Yu2arV6Vug4pGMYfrkFqnUC2NKlTbIp4CIsQbQZNxkySVTB89JNlXHvltfjRd36E7b/YAcQWIpsBwAqeUGkhgWhlhSpnAKID3/EFLOd9UlmZ+MC2QjYuSuSlWopIM7tUuyWjaDaXnHOFBxICUbSMGkkTwa3pHUuTBLI3ayT0kKV/HH1A+Tocf8/FtBgjjWLc55R74yF/9jCgo81/Zi6w0UQQVIpouT7azJFDnTR7uO3pPJRbUApHIjgcrwStNAJ+7uN1/+sNOGjXNmypFlHSyoihVkgFnC55YAsiWZvj/hibH72AU//mT1H2yGnm2l3BZphrmWuQptxUlRwC1UNdC2w5EFos8vXPQ/a4yLZnMWwAAI5bm6buDEElDmo78ncEvAiO2wLCZ2jVXbT39RHudPHWM9+BYI8rTcIqL5Az64CrJsOYOQ/U4EmaDgSSp94UrWNbOPMdZyHdnGBcjcTDj/uEWKxAmxs1G5JsqkpHZsbC14u6vj1UGPOcR1WNKQoEXoggtVAT+Qgi9AcRLjj1reje2EG9EsoeCSqqZO1hQCznFsdBnb8T2pEFFcbtITY9sIenvvIMJP0lZBHXdqpcaKsSIM1rOHaAssoQhDXyJENYdxDlEYI42B8gLID0+hrf+NCX8P1LrhDv5KAKEMcZ2n4bLkNuGVhqlAlk2tOEhnY2YgNpeyikOR6JfzvcHFN3gj3BAMc/8Xg8/JknI+9MpAnJvZBMWDZiyEillQSD5qiWoTsRVTVkzkpoZF0Kg5y+6DqjdHWQX2WJ4Dwn61897VW1oV7Ush8YcDznev6fgOO/FjZf89zGwqiZDc1zZ+SiWSHV3AcE/H0qrAhWDytsqTbjx5f8GB9588cQLrfQT/uyVnNP57qWkgAS5VjBMhaP24T/9fozUW2l3cpYMjm4q7IBGOwLcfknvo/Pnf9V9Efz6CahzLVaLGtqpOKzTe/8QgLM07KE5fgoGbTtVYjtIe78sMPx2Nc+BsPuEJk/NKoxZnM4xqqOe+36m5trzzyzO+g/OZPfAhw311lNUtawvRUcl3OpBGRTH8fsDA9+GYqHJ2gzlJumKkFIYZJzwdr/XhaMzviRCnbeNPpE/eNIQLMVA1dechU+/y+fB3Za6BQdtGxKeyrkdQw/cpDmU/HxZzBtXRIwtxDYodyDogVrzjDS6Deh0RXVgiGKinq8UthhWSvBcrUPnYNbuO8f3R8PPO1BSJgrEKYo3BhJPVYikEubvQj9yWYsf3uM97zoPdgSbxW/ZhoA5mGJLMvQriL57ynGcCnDKRT8lga4nWMaxnjk8x6FY844Bvs6K7AIqucpnCqU5jDPH2Ktt/G41SPQgOMi7zdqW2E/CzhsVC1rzkeimjJ7IwFvnuuFrlARHCchxpXASjdjfcOdThshJqeukUcYtV6TGc+bSpniBMhzsR6htZISWTSYszlbmc3OMEMb/uWvXSN/5cjsH8gp5A6p1w3piuC4OCFxjSY4Tua4Dze24RP8KGjZadZ92X+0Fd8osmQ9ltu8FFIIrajKsEDppcjtRM74khm12ui+1Zdw4wkbI/BbOwI3B8dXB8Ls0/rfygZvft+c/vXEpkQ1AakbIH01Y2Qt2UzXHX1ZJRGaFqJgC/uftxobqEY9TmIcBCRnM40KMqroxW5FbJlm9lM8QkjdSL9xR3EFZmdJBoMA5Kwpjf3JGqeEhvjTYDdrx2GVGrSmRmjqQQ07Jg5hajVZ78z+b2xVaJUluI+A4/QdZ3aKWcrNG/K8nNMuKuKvmTQDqcRkLchzrtZeSuZpCFMKnmsT/o4aqK22NDp/WAcVrAb9QlSmAffCiYdW1kMaZ6POoe2/RAcftuas5QN1w66zLFz/x6un9aGD66ZvDZPyT3goy3s1UgkRmXV2+OqNEX9zX65Kyo2c1tyN6/8gG89cBTo4tsJkEKiKrEotNoiO5AQO6YdqpajHOQ7GJjijNv75Lz6A3ZcvYTFfRE3QnCxn1xbPahGXlJZYh7D4Su0YS90lbD3xIJz2ujMwikYS6iUsXgHDbu59bhQkzUIqWtlZqIIqB257IKtwYCuClD7KsY35ahM++LILcd2l12NTuoAgIXiRr9pG1K0aO6o9OPzkI/Bnrz8V+8IlkcHQ5oJgklhqsNgvawETaK8RZj7a1rwEau684gZ8+3OX46eX/wzpSo6u1UMYRyK/IZjcePcKC1q8+/gJCVOTIWdY/QTGacshIAYXTF+k1CQA8vBNkJFHar4G7xHyRultSQCPoyo+5wTw/EAAQ4/AHV/H9vQQbrzF+W81QE4wZJWwU/pIoF6ATAeegB8Kns2cNRqQgzcxgzLV4oBegUWUY1++BHQrPOBh98cJjz0Bnbv1kXYKIQAP4jFaIUEAB8nuARbDvrDx+BYVQUo2EOjXWZKiyuTSGjkxG2KLqdpsyEGZlppk0ng5qjYlyAQGucPqXBNpq3HgluCgX9JhM33y2Sqx34GhOSuQWVwjCALkRSLjRUXLXLoAf4eLc5/2dvg31Ygy33SUKRmjfQ1VLzq+vIa8B5IWPcgtuNNIvs/YH2J5bi+e9Y6nwz7agrfFR1wnyPMCvktY3UNRJKjsCdzQQZxUiJw5WJMIc2wc7QI++96v4PJPfh0LeRv+mAwlHy2/izgj37lCJ+qhjnMUVoJpOMTeTQOc9f4Xo7ozPYSnsOiJTUSOTDXa4FRkCKudyCjgmlHBNxYZOiKza9+ERgn8UVVqn0DSO9mvtqvWJVkhcnYqKxiIS6ZvXqcmNJV8SD6XxWMgwXTdtAvsAa77+k244pLLcdOVNwJjVRY0j8biSAEKS9POJdyZnG7jX2eOagpMKjORHvxkfdEHXP06FTyx6HcrC5QWmGL3IRs6LT5qePTLZ9grV86aq6dnwkr5ex7IFHxQdQKbUpaGrnQyVN0Cz/+/nwfcGcBCjUk1kGvL+zCzGKxXowp54OLawO+ohzD9jkZRRWatS3AsRZi1MJ8s4uV/8ipsumkO82lfxrCRVjfe22pHUSEOJtjR2YWXvvulqO+aYRKNhc3MZhFtBDgWmc/PX6tEkCG+xsqsYWKwgaHFsDLw91ce6TomB0gDfDZn4aahwgyCbJJiIZhDexDh0jd8GT/8+A/Rz3vq3SyOBJSfExBVixs9WtvIrQKjcIp980s46x3PROd3WpjYU/G/ZgOPwTaZy3uE4L4Ht2CgM0Fy6P6zCgqt7xikDDndi8jZVCK8rjGZ7WJu0sfXXnMJrv74legmC6hzApO1NEmqLJd1l+1Szp6Uc8ulD3iNkb+CwZbd+LsP/C2qbdpYdMJA2N6sB1wqRRJbmP2ZE8vIBuJXS3WFMnkY+ip6CQIviQ9vaOMf//p8LP1gCd2kjz4W4KQWIscWFiu9aHKTGu95Hsoik/W9KmfSfN4TLDzYyIu9EpNwit5dIjzxrD/BluO3Ia9iJO1E7PEm5QRhq4Uq52BTUq92UQQ7LeY+kDFT5dLklbBEUU40+402UMSH0PhDr1UWzVRaxuLnV53lzGX9VeCPnCmNTYke0E3RZtiU/IVBmwxE5dlGGsT0zzXZAmR9OlktdmlwXPgjH+7PLPz9ma/GpvwQOONQmtsee/4lPdbVh1282V21mHvAUx+Mhz3rYRjVY7Gdc0K9H1plhNa0g/f+7/dg9L0RussdtOpQmknKPmVHuMY0H6LbbqFYyeHbEWwnwLAaIZnPcNzjj8PDnn8Sht0VpP4QBQNSpcPmMQxE5kkTpntbj8O/6R30q67FzZ+v1lF6JtWGamOho4WihF4RGItLsaTz2DSVc5QxZmahqsnkYq+UsnlHmyWuDXkpJAQk4keFSz/wFXzvSz+ANwoQTENEZYiWNJ94V5L8oMQMno2kY0gbL46fxGdzn8pVmWMXQtyXZlBao+P1uNAIOEhm2MAbIN+a4P5/fD+c+MQHA3OqFsncFGkwkjMKbcs4RlRq2bWPMOuiP+jhvNPOh3+tg2jia8irk6OoSkQkOdTckzVbhWki0mA2a0DWstC6VxtnXPAkDHsDpOlEcnZE9cehWhuodlsnwW/Z82eNYnOCNOBuc1TU4n/NoKz6fc88ehVIV7DHZZYKFSIZrePURsiVpM1Zw0mmHy1W2BTnvSFNaWavGGCIij6vQk3ygq8ZEE3YrYTgmXtHzjyiztOzzvoexupqDelhpp9tXlW72x5vAAAgAElEQVTPPWySEhgi2UmUoCnEU5YKcf55A3Dr0ivUBPlIcoYz+jVRgEYEkTKkwRS5lcv+tgGOr+/qbTxrYwR+3b79y+vgpv5tIO/mVWbryH++ojQkm5kdaoNxz4gOut/LukibDcMi5/pIC0wyRcST3KTkCHAsYIVhkYsyWm1VJKST5COxVVWsUf4nViyKiyjmQohAP5vgHMRDHN0nm8/VLE9qJ6prGx/qOa7AO88qonI3zXwSthpwXMKW+dmbAaItnpUZcLyUM6Cu2Wqb0jDz14LjQpBsctoMuHxHnMm6P5r9oQH+7UzrVZK48gjeMBCidO2WXwkOD59h9a2fHajv+uvujf/Sz1FT0z3EvQfbp+8OkuIePAymcxVSVwP5Nh4HdgSai68MQGXKEnRl0cEOHZkLGQ98LpAUIyx6XfSHbfzsk/+Bz7zpUgR7WuIhF1IwblkCvNIznsCETRsE2oHQuMMfYt/mfTj73LORH1UCiyqtJ6NG4PHbSRatgWom/DUP0JnM4bznvhPxlSnmRj0B/PNiIkFieUb+QoVqzsaOYAeefcFZCO8WIAlj8duWsDeCOLYnhz6yQOa9RWAIXP2FH+Cbn/wWtv94B7xJgDZ6Avg5OX2pCNopC0wk5AS4Dfil/qBa7hSG2UcmnV3TlkC9dHmNSgIsxpKKzQgu9Mo5qWF5jlh5EFQuKwVWxRaDbCZpDJDzrTNBGdN6KCX7iIAFPTlnW6CR9sh+opuKegs2j5k0UoAOs6lQTk7JDDEEblAE3XIGvYUxjn3UsXjE6Y8SD9YiUPloMhmj63hIVibCznLCthTK01gl+R6tMNIMdugLs5R/6XEApF6oUXpAGlbIQ9ORdWhLwE6rblzCULFZ1vKPGv3mrb/31JGfYCLfOpY5TRCoO5zH9KsZ3v+370N/GCIobJFOEUTzCjKMtaTm9YvQQowEA28ZRVlhs3MwpnmKcWeILScu4vGveQzGC0Nhw+a0Y2DTxCabnyFiGYLAEruCSVag3ZlHmTmwYgdb/Q7qncB1l12Li//x41j+yV4c1jlU/s6rQ4RRDyuDAdpeS6xZhsE+7Ojsxis/81pMFivExRJsO4UnU4PMce1gR4WSfRQcrwX0IXt8P2Dc+Afz+hdFjigMUBUlCgYD2g5cR8FsE90k8m52iz3HE7Z2mXPGUwVgoRf0UKwUuOqyq3HZxd/Azu/vQSftoVt04UxtBBWLR5WnEexsUsN1y1W/fKoMOOZqL9Q0e3T+8n7SRPBQZnJuxyiFqsD/U95Mtj1XCgLceu9pgUlwhK9IJYW+r3gmg6CTJyoCBZ4SYXtqf8lBWZElXKFms6iVwV4EnvnKP0d9pxRpN4Mb+MiQI65SOB0XKYOHeZ+xoOSnbYpiAfyl7JT7mr62Qd5Ga7mDc88+H9YVKeYSguN6ABHCubbVlIlZV8i8FCvtCe53xn1x0guPx7K/V6R8tMLgHKM1SRbp+/tFIMwHDQLTDBBlMRjW7yqrfLYWqAJJr7QCBrNDsSJfBEbZNOE6UqA36WDlCwO8+6XvwaZ0E7p1F1mVygvq91emKWXl0hxChaE3wWB+gOOfcV885CknYhpOJd9gNJ2yb4hMfJ0ZXKcBOX7ODAaCUgoa6GOdxyDjCiGMdAa5inydjGuyqB30pj0sXXwDPvzyD2Ix2Qo3j2D5vrCl3aJEYLkCtnKWEIarXd7XDqb+CMvzO/GUl5+KTQ+Yh7XVxnI8ghV6YlkjbZ7U0iBIJ5GVm3ZHLCC0EUE8Wpk7subkHtqTFtJfpDjvL8+Ftd3GYr5JGrdlNcVB81uxNBgiqwC/1cY0juV+rJn9wcJBlFHq18xmCIFZcTKiV2KYYMVexkOfcBIeetrDkPUTTMIxvEUPy9NlhBGZtlxntRXIdY/WW7Qesl1eU7OWVZU2lkVmS99/NkItlGZ9Vj7RmpJLvAq08bJ2Vt18Ff9lRVrToNH5a5pNYgegll6zZg7kvkqLTNVsDtVVXL/YJGZYsTbBY/q8I8CmahGffsUncM2//xy9bAvKCX3aWQiVCJkTQgseNp4IujslRtEEw81jvODNL0Drbm0s28sablpXaHsRvGUXznUu3vicN2Jh7wL8MX3zS2k6ZGWJcTpGqx9iMhhgwZ8XtdggHSEJcwwXpvjjv/hj3PXRd8GwvSzgeElEWL6fB6sKFFQyzYFbv/vd/s/gOdVN+UPWLb31ue4aRSnXY3FcUzMajjmbSfTcZ3taDPX3AZ9+x6dw3Q9uwmTPFD1nTs6zZPKGotijglfnqhTacj7itVdWL9dCX85VOSzapeSxZLa4HvexShqMtLCivVYSpbjHycfixCefiOAoD6NgCKfrIk3I+i2QBCO5FmHG72Ahc3ku0Wb64mgRX3jN5/GTj/8YfarQ7AhTNk+5LvNaim2UaSRQLSPNGyVUjHnCPrLC0/7pyagONSxxx0JBC6Q1llm3/9X8Lf0EZlmTs0RJmyNbAukIjvOH+y7Vm6tLn7Gvkv2X19msWxJsxt1RrAUUHC98NoeZaVCIIlseXDMZcC7guFqUqVp4fY+ZldAtFSiGA6prtAQnM9WIwZxUmVao4xphyaaWhs6Jy5Z2C+Q8J/WFMFNVvUh2vLArmXMRTpBZmYDjzZ63vm+w8ayNEdgYgdtjBBqgWUgTRrm91hWtITg1ALlDJTBtVbmUkVDF8y5rEjbATYi3KMrNQ5RnhklO3EHAccljUPvYnH7fBM+Zg0OH1KZOMuWsKif17LAaiGwCg4mzKGNbldS0/G1Y3fK5ucaKFVwIJDyvs/ZnY5CfWe22zGFXskckkDMy4LiTmTpvZs8mileTtaP2LdrUVPB8nfXL7XHR17ynXn/FjKhmFIUyCI6zllfrN28QShaHY9XXe9uCZ2ArvnKgrFUO6KjWy/VcPsVpycr45W5ebaH0IeuRRbMBjt8e81QOZDxYs1jjYcSqpYBzTZdfoE/PQ5Kn8BygX7YQ7Q7wj395AQbfjrGQbhbGWugFiPOpgFNe4Aq4Qrkqb1+n7WB7dRMedtZDcfxZD8LA3ockSIWdKEFGsjitl7lw20ZNbk6+e1ah63YRLbdx7vPfiezKHL2VHrp1GxT+03eYQD+B24kdY1+0hLs//q543Esfj6Q9xLgai+1Hx+9jtHeCOXsOjmXh6kt+ii98+LNIdyYo9uZyECQYynBJMoxp71BnLGY4FBpg0zAmFCJnYac/EtgoTFdlmKvcnJeskdso26KRejZcWjKEyFxyffXIpO+yPL+GeMFO0lRACmFkiyS0ErYgg0TFr7ChwZihFiiCzGv6lZtGLT9Dw801fVcp4slK4QGWbDiSQ2gJQvzDEbawhaScomwlGLsjPPzxJ+PBjzsJ6JOYlcIK+L34j30UcYasqNDqRyhyIE6n6PZaSCcJbPr2CkOSH1A9ihlWlbfIuiVrnDYyyqZqejC66RkJZxP2to6ppOA453sOi2ydokRktdAbzuOrb/smvvOv38bctAW/sAWYEA9SA46zKaStDQ8pMgFK4zRF317EpIwx6K3g9Ff8GQ46ZQtW/L3iV8pLTdCSHqZ8ELytchueH4i9je1bwjJOkwR+7aBjtcRqI75+jK9c+BVc8enL4S/76GRdeImHbqeP5XQgwYZFL4Z1pIfnnv8SjLpjwIvhs9ueEQZTCJkFTFDqQWbCv7M1iJHAa/NofIPpMckmRBD4iCcTgY3DwBOlAYNIeSCxAwKwLPKYMcFNMIKfROjkEVxiokPgc++/BFd/6yrsu24vNvmL6Do9JCupeOq3na7K1AQcMNY8ojARga8ABFIECjCnShO9w/TfSGEoIXUMhgzl/qqZIcC4UgEW2eQLdJUQEInPo4c156an0Loonoj+8X5R5QAZf94qOB7LGiJ2KXIvM5yYh7IMpZ9hjCG6x3Rw5tueg7KXIw3VWoOhkmmZiHWLethxPJWtLwIJYcGrrUDF9SlgoFcLwXIPH37VhRh9fjdayyFsrjECjOuJT4TcYl1ExmKGSSdBfliGF73vbIw7K2A4Npswwltgk8nltaLjAyWBJm2dn4MHTFlv9pc13/ycdjNIc/+7TGy7tDlXlgla4xC9vXN49RP+HnMrc+hXfVEVrH3I+ibBp8a+xi0wbI3Q+t0Qz3zTnyPv5PIzLMZwQjYDCAiyYUgAW3/kuknuQKMaWd/+I4dhNivkMKy5EAqOcz910Is76P48wutOfyUWh1sQpR3ADVDkBQKrRkC7HwKmEnArs1HWk8SNMezsxd0efTQe81enIF1IsCdZhteNdI4y5JL3HSXrBtwUdYQBEVRcp3NcGocM9qs68EYOrrv0BvzrGz6IYK8rXuS0+6mzGq4TiM0Lnc10fanhGuCvsfFp1A9s0PGeFUZfXSFajLAj245iMcMJf/pg3P+x94O1FRg6Q0zqCdy2JyA3s0ho5UDlCEOq1beHiiBX9hSxCuL/yNA21itURYipmFE+rf1V578CJ7/s0VzVW1xdQ8RsmOPqZ67sTQmBXgOQa4NYG/jCYidrhw1jBjkL68dC5HYQxG14Nzg45/TXYmFlDvXYwVywiHE5FbAyLMUMzqi8LGQOMAmm2BPtwukvezKO+MMjsRwswW1xf5sgtHz4cYBusYidX96N97BhlC3CndZoux1keQ3PZbcZKMuMLVoJx564UyyHA7h3DfD8NzwP6RY2K4Yo3KkUVGJHaJjj2j3Rde2O+CCjjI0fkgzIJJNckoJ2jBp+xUeSZgh7PuK0EPsRZvkxE4TLwkVv+Siu++522FPan/gIbAYzq1Mfg4659mhLTufl6mqxJoCTO4pjU89NGJ2xvz5s35YzYRal2F3twXG0knv8iZg7bkHY/qmXApGFpdEyglYkjcbMm8rcCnIF3Vm0S3u38DE/nsf4y0O896XvxtyQEe0dCQDm/eeb+S8KTHnGTAnHfSK1ayz19uEJ/88pOPiELaj8UhozhTT0b3m+uyPOg/8Jn1lgFmFJ0mdXA+kaSb40pRvQxwTKkmxi0GRVUpk5yT2NdoIEgcgcJ0BOYkYlAZ3a3JFjtQmClz3sNtRfuvQaU6ybBbPPIne14Sg5S1xnuXdnlYTrSjPK5NoIyUE6zKqQkzOuWYtFHUFAKzRn5WiCnPlkG8zx/wnTf+M7/BaOQAOOao2gZI4GHFdih6Wgt2Q3qAc5LVX432xus/arUmJW2nDTM7ABiw2JR4k8xk7VMMcJkjMfh6xyhv1yDVQVqP7IemY+i1Q5ayxXVV2o/075GY3fumYsaE3UgOMk5ISwUgXH9WxCy6xbguOln6MISDYhfkHrPJMvt3qmn4Hj/LxyljPr4x3XVkXHWhoMkiHJ3Ukz/MSGqwzgjUK1G6utobcQvAqH458s68BYqxxYcDyuD49vjM8tkvzRzHITFmk7Ry6+phuPAz0CDVNKwUItQAmOawfNBGR5an9AmWlr5OPaz/8c//rqf8XCcCs6cVdknQQfxpjA9VwJoCwzDVFjsMCyO8Cm+2zGU845AxNnBdhEJ4SJgDRe4EvY0W05nN3WMSMTOY8zdL02WsM2vvj2S3H5h76HzZMtiJIQrmdjnI3R8/sCTu5KdqN7cAs3utfjr97xElhHWqha9LwOgLEFK7Ow47s78ZkP/juu/8H1WHAXSd+Bm9nC+KEkln7TEobExYCFlXQADTAu/lXaQxMwzYSPMc1ZuaK6Kot9AWXnUq+bgmgVYOczlQ/pOJ6kxScEHAhyMbSrKOGT8Wu5SGoempWR2ZSBwr3S3oW+hwFBVE5OEJ2+ywq6s8ji4uxKsIKy4KXhYMI7k8qEtYnHIr8YNzCGV4YyV/JqKnLvolUgbSU48XEn4F6PfQCYhlXZKiH3WqEArXw/o3gXmTuDFlkQu9rAFVkyGaG5V4j3Im0pKJ3i526CkTh27ARLkJuM8PoDyVTuTauMUv1iawftsoP2oIv3Pf+fMfruEO0pZUE2aqeQjdsrIgHA6K+lNkYOMmRwu66E1ZWxhbJdId46xgvf+3ykWydYCVZkM7f4nWuCIaXmMrgt5ImNwI+Ql4l4h7uhBdezkFMtUDEAlj7IIbp5B8OfjfD9f/8urv7aVZjeNEEWZ0DkSN4D2arPedXzsOmBh2DZWUZpxbDo2WaKE+Gr1jbtrWXupZSqidJEA5iaQkgx2JkUNstStNoRLLJp6X8tnSDpFcv3Yfgj/doDhuFmfQRDC/t+kuCbF38T3/zk17DZnheP8Qi+MGPp+yozTSyMWFAqE1oqvkaGLweYxrSmYawqPKwunAp2kREoqWvC2qKjr5h1kHOnFiomwFQhBwWDpZiUSUg7IzLqG4CUzQ+CdWzWMGhRTZEqKgrkucb4loxEub85t3O4HQc/n/wcDzvz4XjIn5+MSRgjp82QsQGisqXxuJO7igHWUt+qioPrNRtmVZ3DzUP0ss34zFs+i+0fvQbBLheeHZnmBvXXvFfVI5w/BLgnQYLl7jKe9rrTcdADtiAOpyiDEtMshheRxc71WQ+ijee/gPTiS9AwunVd2g+MXONT2OQJ3HKttmFbtAcq4Lg1gpGD+elmvPdF/4TxFVNEI66XDF5m08fIyM1nb5gU8G3srfah3Fbhua9/Hvy7u9gXDlB0cvFiB33mBbw28kdz6GUTR6HjX26r9JvsK5wLOg4E7Mn4VJsKjgO92NtJG3NLXVzwnHOBq21E4w6qisqdCi1Zv8jM9mROphI4zkO3ixQJ4mgM3KnA2e97MUbtfYjbOeqAz9EWh02lhLCq9VuoIb2uvgL2mpQK7jKh30I+rtAtewj2ubj+mzfgfa95F6JJhC3hNgz2DjEX9GX94v3KIGheTVofkTEtr28CHGVvMBY6vFt01+J6kGAaTDEMhwgO9XD8Y47Hg594AhDVSJwYk2oCy7fgRwQqE3mfdrsrzU5xvzBKJL6P5j9IuaRgifm9zLFVkFzXbSlSbsH815m4FhRvGgXNcK0Sd8zzm2KnsQdqDsacm9yjyWTnvgdmF5AFzhF3XKT8h4mH+ayPaz97Az759xdiUzwnxRAbDQQ5uUeHDJSS8aLPs42MOR9+jLQ/wl1POQYnnH0CpgsjOFEp1hcEyVpOD/a0he60i0vP/zq+94nL4S5VCLIAntOBU/kIwf2EHuQTTNmMaE+wx9+Ls9/8Imy9zxa5Hok/RS2KvsYWpPEz5odfv3LqN7lH/jv/DZt1XhHIfcf1j8u5l3pwM6MQ4dbCJg+bxrTXYsOVpcYI+OCr34+dV+1CK+sjtFraMpXwZSolmla/g5oHHLmvNIjalPFaCHM8LcB16IOqwetspkyqMSbeGN2jO3jUmY/E1hO3iZXcyBognG9hmidI0wzduT7GyVjAcVGWUQFS6D1cyjznfHPRT+YQ3uThvDPfBu86C52yh1JC2Ym16+xXewwFE2Xus4nD29b3sMvbgbs/5Wj84dl/gFEwltCrnA02dtduw/r333ltf1teu1lnGqBIg+hdA467Yp9FZnVDAjBsFT2HmKaWNC2lWakZOAR9NJiuEFs2Cec02SUKhev+rw9dZ9f7aF5Grd72fx3xX5e3UHBcwCs2AFjX5AYcT0MBx0XhZ15MvpthXDSs8VVw3M9QtDMk0VTAcfXcnbFF1/s9Np63MQIbI3BgR+CXgeNCy9gvtsQoX039yfVD1TIEyy0goSqUBCjFrNiAE5/uBigQyEEzQehBziwG2qyA9atTSXgn/16xDT6MBksZi9pQNOpY7QOqcVSjiG3OmXoWaFZXrYvkfFIFsFJH1EBs4gs4Tgb8GuY4FayZl0k+G8HxwlO/dL63Wn7KSJl9XfNYGmKPKm4OKIz7XzdJzFleSABCLtL6m0Q0MvbFlobWhAmbDHbttuxPOYf7z7Va1g3/dR/iV7/SARvVuq497MUJ013Dd9UVjpI9LaiRBpl4g248DvwI6GGFQVEq8+XNLV7XBJ0MbJCR8WmH8McOusMu/umv3onBD4Zojbro5B2E9Cqtc6Q01qRCPs6kjo6CCBN/gp3tvXj6q56ObSdtwyRYRkLQLWCgEUFFdujWD07c5hETTMFBkWcIHQ/tcYjp5THe/qLzcdD4EETTlpF9qCUBCx+GvGV+gmVvLx506oPw4GefxPoFDtlIu0t8+cIv4qsXfw3dag5eHqJKXQROBM8l+4OMpQJuTdagJd6PoyoXsIw2BwqsaIiNhBFyYSxteLWLoCbvSX1ZWQbRS1zCIA3AQ3aaPlcXaJZywsisCrhuiGGZwooCpPR5LSp06dbFgzgZUmLhZQKwzOZEdquAx5S389uLd4iYCiubyoSEphJwaSTpLP9XvVvFYFZk6AriMPxUi8u8IDNdgfaQ4JdtY6nci06vjZV6BfNHzOHU554K58gA6AHj4RCdzT0kWSKqhHa3hWRYiI+1yY9FLZIpdl/pk5yLVROBRL62eJdxekunVwFGBhlynDimt8nVh3uoa4v9A3UB7bgN93oXb3n6WxHtbqGdtQRAJgjLz0GGNHk7tM7g9eP40jtUmOS+g6KuMYkmuMsfHYlHv+QPMOgsSdOA4XbCWyazvyLgQhSJ1je+FNoR2f+CnBPMUSCYwYsM3rNBJnMghVarIMhsYfkXe3HlFT/GcO9EGgh/9ORHI+2kIvW3erTdmcqBQWadLNYKjvM9msBMfi0tTJQlrnIy3fib+Uwo2g5crMQj5FWJfn9OXiebJIisAPWkxpwzj3rFwk++9lN84+JvY/v3d6CddLDgzMPLXZRJLm0X2kjkZabrlMt5RVnx/sxR7eyrksEcY2QslPOtIVXcb9SzrRYJvYaeqKc1R9lwi03pqcGzjeWQguN8Ji0OGGzXeL3mAtSxidUA88pRp2GGMrbkbnUY5CnwhwDu9Aq3Fy3scHfgBee8AOE9Qkw7U6REcmyOpWG8U0q3ChQ2dhIQtQfzCtgccXIfveog/Mcnr8Elf3cRtozn4dKriNkDLJTJ/5fiW8eIAEzspRi3R7jLo47CKf/XYzD1V5B3MqRVJtTkBlRUQFTvpRk4XsMpFRReG9qz1i9YQM4mpGf1MNQAl7x2ZCuXMixh6mFu1McVH/4uvvDWS7Ew3STMMmVSktJJ7/D9C3vLs7GSD5H3azzgSQ/Cg55/P6xEY0w6Q1RugYAMPB5IRSFVi9czmwv0Xebr0iN8vaU1ASlaiwiQbOTdusLp/RdlEeZHPXzu3Etw5YeuRH+8CKdqy/t6ZPVlKWhKlqMQay6uI9yPcwbF+iWWoj34s9c8CYc+/DAsRQMJF2Z4NO8Dh4xA2jk0OQsK18qWKCCF8T/kVZcGbGmjjS7CcQBv7OLHn/0+PvyWC9EazGNbdDDy8VTWyFCshGoETohUwELOc4Xa5bXN/dHMDDJfuadMEsrcc1ihhdhKUEQloq0R7vd798N9Hn4f2HcTqirG0PDf0isk7NVi0Br3GqOGafItmqwLhpWutWxqft/MoJs3N+RTahWzejzYDxg3f6pAIkFN9d5urJFqektbbFQoo0j910vUeS3zyKcqpPHArMiAtxHULdz41T24+NyLgJ/G6BVtWSO4v9P8gmtXRD9hs7qw3ZDZlgTKTvwVLD5oHqe//Qzsbe9EWg4QBGRCsykWoOKeks2hO/Tw4Vd+DDd9/RqUSwXawQLs3Een7knAIhVYQ28Zw/YKTnnWKbjb7/8O/EMCDDFQOxUBxnVw5Hoa4Equ4/qxsdt8BLstL8DrZ5cMpiaDP5Vzqxd78JMAfhZK39MKgXgQI3IjISlgGfjQ6/4ZS7/Yi7BowZ4GCKwQpWTlZLDph8/1imdg21NbLa7p9BY0jX9V6KlSKRXrFQue42sGip2j6lS42wl3wUmnnwgcBgnUjVtTWF0LcZkiKzW8l0oKy+N62hTV2mxuziNNjkUn7aIziPDRv/0wdn5xh2RvMHyV102a19QmkfIuCjrer1Q0sYvGe9/GireE6h4FXnjBX2DQW0ZGa4qigut6qCpt7m08DvwIrAXGDfJhmJJkGeoP/WppB0av3dXwu9XlrWnQ6H4uDUYhfxAQV3/dKjAscv6eoPmqCucWy+S6BuA/B8ebxVgbTFpvqpqPe4yT2vBJHmGDq9TTmn61ehUcl0rUNGN5TmVwXRGlAo5L8LM0hQ8YjLGuMdp40sYIbIzALUdgLTjekGu0XtAdaXZua+qdZi3Qe54EJDdjDWLBKvRHfMgZ2ilWmqqf5+tRaSMqX/EgJ6GploYhMUhRkbKuFmtOQ4ASEuKac2STR2PsIBuw2jCOTKN8hmWpSpXguA+barCM+TQEyNVDvfE2FwCeNalHUl+m4DjzIsQXnXW+AuMzhwD9fAqOm2b4HXX9E5Inz7lUBCjJQZW3hclcceEnIZyJg6DweM1+Eh4WnYkFfNuy5MDz3/o4YLtKvVT3MKnOmC4NXmM5dj/zaiAigyZZ9df5b/2mGy9+ixFQKXEDjpsifzX4SBepvC7RqlvojbvY/a1deNdfvguL8SK8aYCu1RGGU1rnqHgtWUxnFXzXQVon2OvtxX2een884uzfx5K9E96igySJpTBzgkgkr55r2NC3y/UhYKLScNetEY499Jc347xnn4PqKhtz2QL18QjcEEmRyKGO/uOTfIQsjIFtFp71j88GOsBVn/4JLvqnj8LZV2OLvxXFoEa/tYgiV5CbgDCl4gTfAkpG6kIA7sJiEKDaI6jXEn+UHSoHw9ISYDwka9fAdhrg1iyeBgwxDBACv8oNoVSI0nhlt44Y4BQwMDWTP+9bHuo4FdYTgQkBP8iYstkEUMBcJP8CiAOepR7ysuGQISWqXwu5fF6ziawyRYwkiqBDxYhClczQXoKAoCz3xHalmKOnszKBR8UYYcfHsB5i6k9w8hNPxnGPPA7YIkRdzcEi0Cmsd1uCOmlVxZC6yss19DNIkXs5MqZV87oyyNN4Oc78kitZfAlaKjN6/csggX/X95CUGdp1G71RFzd84Xpc+LILsTBZgJ+HAkayUicQzwAiltZ0Xedhn5i0R5QAACAASURBVMWM7/uYxDFssqFbNbZb2/Hstz4TC/ftY9gdiG+yXg9u6uoHzz+gR7lFT9wkwf/H3ndAS3ZVV+6XQ1X90L+TEgqAjRBIMrKGMGCShUxG2MgwAkwUWSQbbONxYNnGYAzYSGADAiMwyWATZIwAgUcgTM4gIQmUu9Xhpwovh1n7nPuqfguYEd0K054u1ketVv2q9+6799x79tln774fIaBcQVaiJbuxIRhMVRp+H5+rPlMyafk0QpusOyZdEZqiRhOqnuO4HYm+OeUayposbdVxnbmSG6hZwDceOgzoy2dIuQv5aWV+C4BgU788RzDoC5A/WcsRWRHm3DmUewtQZvcbn/06vvG5b2Dt2nVESYRBPY+witgTLual0rlgtwIGlsgFEPY8NdgkOCXPVTovZkeWDhzXsKLzWzjjIqehIDmfui/GKQTatd2X/HFVPyOsSKKhAp364YZtLvOFDGBTFBAtcl1XvN4OjBdmlxSruGQo8cH70DVGxrdIGFG/3RqKxvyJZ9wDv/G7D8NqtIw2skSGyBMWr4WSrdFSDNMCRMcQJGuMXg+eTzzUg5PMI7ohxBsf95e4U3aYaPEyjqQuf78SwzcFx+lVANRBizVnDc32Ei85/6XItwwxGYxhRw6ynGPNhcf75Gjo984Y0yq3QjZHx+jVzpauTVI5aVO2780PnIYxwPGo2gxh46OfxRh/J8Fbzn4btiWHIcpiOQQXNBOU4q0pZhk2MeMItQMTp4JztIdnvOmZcI8Hdjg3iK47dbVpUsnr5jPPeABl7GloFs3nsP/gOJ+Hyssos14PsB3UTpNMX4Csaz57Nf7lVR/B0ngrYiyppAi1wsU7whc5BmkR95RZJxr8joMVdy+WHrqEJ73xqVhxV1DFDRoyZVhk9DLUXGME7kSPfSODTg3bBLy3KgRhiMkowVK8BGsIOGMHPbuPL7znEnzpn74Bd9WDV7QYuBGCgoVEG54VSC2UgVfmiawizmCypgn4KmuWBtzsTiKIXJQVKho8+55o365nQ1g9C+0csPmXt+Dkh5yM4x/4SxLPabybe/TrSNA6KhFhFpkWj6Q7iexYXkTnZdGtcC1BbEyhusW/sX9h37DereNZrGdBg8UjPjcxrZOiWSGgvWj6sr+jKKW4zZjliPGjh7AO1LC8BlYu24uvXvR1fPuiH8Bb8bBU9sT/QvQs2bHk8r0OYgLqhnDAXTC3KWtET4wM/Xv18JR3n4WVeC+SbAVxFKApKG9EuR0Hfh1jKd2EYAhcfuH38Z+fvBRX/eg6DPxFWd8sLpRxhvnj+jjjuY/B4b9yBJrFBjelu+FGlGQzfSZGJlPPFxrV1DB3//e/O+TYNv1SMsY8TaadQu7Fz315Rl4WwBYWditJKSjNvxN4xx/+PdqVRjrOyLr3KOFludLJ01iUk6qkAEvihm0zqOrBozOAZ4wXaTtzVrNCB6N8gqDvI2kmCJZ8nH7mw3DUaUeILFUdF0iCCep+IzJvKY27PQdRHGOcTGR/0CRXE2buptoppEUMGjhHVYT59R6+88/fxhfPu0Q6HB2ar/JcI/3nDUoaP3PvqmP5p3a00D8IKOIUO/rX45UX/D6KX6oxiTOwIURG5yDWnL9j596Bf/uUD6ghzjTd6XmGII+YUBtQRYw6+UN9QjImu9/pjNvEI8KcUTopAZFXqYQtSYkVnn145iQI1Ekpaffj/q//fcFxkweYoZFGUSFAsUOMh3SVjuHJjR04jKf+JIBXqCnnNA5JdxdbPbrYpAUjnkmrgNq8JfIolTPRvnvDgT+TQ59waAQOjcDtMwI/HxzXs0l3Juy8C6bECAk6NHm3EHDPLGlMTHBcJakYNwUgF1KX3ovkf51Wt6OeBuyoQcAzPEFzlV+hgoL4i4gW5awDX2KT+d4u7zMpoenmN508InurWuHMmWmobLPzhwB5Zik4ztgu16YXR8CeHe+UwGLxj/m3xGrxuTK7xDTQKjlt6vUwva7b55ndmt+imvAqU8qOesntWBIgk95Vf5yQPk1jW/K4pm33xFviP8KR+IBlMZO5bV/7vyv+gtfVTtrDyxsmr20m5VkcgzRqYPVdlG021Rf7BT/y0NsPcAR+GhxnC3rHpNXkk1qgrO7Pr23CR/7yQ7j+s9djPp2HW3kInQBW0wpzDIGLvCgRu6FM7uVmL4Jf9vHMNz8T9dE10t4Eo3yIuXAOaZLDiQJhzEpv6B320iBL0MzyKniZi82TrfjPd34Jl779K1hMlkQnXMAz5X1KsHU8C8NyHUVU4iFnPQzfuuzbuOq7V2DBGyBuIuRrOQbenLg5UILBsV0BxAikNgIaEtxVs6hajE+7dnw1FVSAXAeFyQ8TnMCIPPCpCDjO95D5bCqahC14hcI4F1NPwhklbLcW/cttd78TJm4JdyGETVmGSYbVlWVMmkwMx6pcROLhsRrbKtuSFc6Y0h1JCRKkPNuHZwdyCKfuLEFvd9oGrG1LnTxPZ5bmE1ytVXpDlJpdGxbNoOocWUWjThuOxwTfgU0JmKJA1Zbw+g7WmxUcc6+j8djnPwbYBNDuKlp0xZgzpjwMDfdstkaVoPh1ReY4K7AOgWdKTXBzUyPJTptWxpa/M9XsOhBwQJVIRZcWZL6GWBpvwr+9/kJc+a9XYjFb5AUqj9lWIJ5MZT7D1Cr1sN+UiIIYbc6EtsY4niDdPsHv/dPLkC6NMfZGwk5lOzhxItuzYDsqqUEjTts3hnZ006upaO2IBwA7Asq8hENdXJl3jUjR8P6p+c2H0Q/mUA8txGEPSZNgXAzR74cy/q1nIy8p30Lwk0mZ6VEwiZXdqrZyIexiLbKxUCbgq0jxsHJRwQ1sjCYT+F4sQLw18jCwBli/JsfXPvU1fOfT30KxK4WdtRg4PQGebGrHEhQna5TM+rYW6RpeP3FB0cQvWWiiLWPPMHUV9J46hotunEpMdMyjWZhRdqCC2aqdT5NBgoyUlNAtWjsPlPetXHC+UYxdhclE0FkVaflu1yJznCNBoKVl6UOY2TzIiFlW6wnYWFGKxqZ2O9kPZEjZqOMaO4ob4B9v4SUfejlW3BtQ+rxfD1YR6Dh7uYJcZi53IDG/i9JUHv31uBbzAbZO5vD2J/4DnCtbzJVz8nwmnham/FrZiURuJKL5NtbbdUyiEX7zFWfg2McdibXBCpqIHR71lFnLuakGMB04rsx7SeC7Vv7uJNoxxc0Rd5Z7z/ggerBkmuxLbCyqBJ5lI6pDhDsjvOcl70PynQJz2YLKfTh6TmBMEpkVedaqDUiGe97UorV8ylPvhfs//X4Yb15FGeTSeaC/o3Of4DiHXg00D1BWwDDh+Q/OfR7mqJXHlwho1HzOEdprgHc+9+3wr48QFYt6yHYot0MmP4uDjNSM1fwM7sHsGLKQBin2bl3GC857Eax7uBiHiZhAcl01DrXs+Uy0eNVpZQu322pRsmWUB88AmExG2DRYwGR5hMVgUbRsq0mDeSziP8//Fr78r19GvZxgvo3hjlnr7UkHhO9EyGrVQmcRVOYyO48EINeDvReGSPJUusf4HF22AHBVyBxTXjevI2c3T1igHOSYP2YOJz3gnjj+/scjPDJCGVSqmUu5HnZSCW23lcJnlwgoo8dIAHSFEZlDGpc2FrA6FtLGY8VGFlL392L0JPOXrbd6KFcPgS75sBF5PTSpBSvx0Gv64rEwvr7FVz//VXz3km9h5fKdODw6DOVeoIcYTlkjikNkLH+yCFL78GuP/0UKCmQnU+eSWtDsXmqCGounLuCxb3g0hktrCmhK8cxH41hI/BrpJMcWezN6eQhrbwHHDrFy/W5cf/UOjJcTRL0Ix514DOaPGKCdb7BSLKMOW/h9XwoWGv/0QDFtMWabgMxb3R8Pxhe7laTPR8BqriULQe2rwV9OU0P9cRIPuBH44F/8E0Y/HiGoAhmz9fV18vLVl8KoihturRAEuPeUtZqoduilUh10ZnOuJE6BhGs5rnHCfY/Hb5x1OnAcUK5naKIaVmRLEs5n7vU9aeMel2M0XgubZto0oOKZi/seEyPxmFCjLSmKsnhe++gnIcrLcrz7nH9EvNyHxQIApcZEp5nFNXpDkDXH/dBByU4U1IgaWwgDO/0deMKfnYmtjzkM6/0xrMrVIpwQDu7IM/jBOPNunWvW7IOF/Vl3FfMtNc1kEdtVQFwYh/pPAcnJBuk2VWE7smCj4LgUVQx7nMxIdsmxC4nguJAeuhhnijIbY8P+3NUGzGZDFO6ksBSC51qS+CNhXfv6mDfScNQbs8sjUGmEDSC97DVGyqtbe3JeJgmGnQ9Rrn8+IFGY/bnjQ79zaAQOjcCtMQIdOK6fNWNqb5R54h7fnd20I1OAEyMNRXITtCucBBgCzwSizQ81yuVsYwqJeiztzncEoBkbK9mf2SBG83SS5kiMEExIThedvrg5A5iefO280/xSr31f/yLtsqUWuqfdtYVtwHEHnniiaLFQJAMJjjuVkPrqUOM1862KWJGj97qxq6aTb5Ec6gCLm7fGc9zfz5AOdKeWvDsQEqHS0sSL0mVHHgR/s8YWwizinlggtj8UHuW/wupZO/f3e2/p791+4PiovXt+9fACq2xOIYA2jms48z6qWs3ZDr1u/xHoDAwYjJQBx0N5txDVpICIzkKxgOZHFv7qma/F9uF2LLVLSLIEAfWzyQduK/h+hJRt4nYgzN98c4r7/c598Ktnn4q9/k6piFESImQCbntIqlQAOpGHuIO6OqViZdFwlMkNWZUu5oZzqK8A/vbZ52JudQFz9UAckh0xJ6OUh4+C0g5UJvZqZfW6LeqiVoYy4UmpGKoGN9MuMp0lkFHuggBATaCKgZfwXjBV6Zbm2q61x2hguWTZU1e4qzIaZ2eCFXz5SptCTTM1Sai6ZLFE7WTInTG23nULzviDJwKU1uwb3c2OtsJ/15gEFECxWmJl5x7suW43hnuGuOr7V2K0d4R0LRM2iyea6QpKUFInKjwB0nk/qufME7rRfBag3UXLgzDvlczmhukgE7cWns95kMFyPRT0OKNhJdlalHghLTxokboJnK0eHvPsM7D9fouaAMR6uWmbSAszNZJpdMWgWpH9xQRTAGRl2HR6h/yzaLWbMeb4iTbZfjNnVCpGZE4cH+66i02TRbz17PNQ/6DCIKO7qDKcyTajPqjHZ4UWGVuH7EoAsTpvEKKH3C2wJ9yNox58BJ70mjOx1l9BRkNEhz4ANK4jLEWgm8AGv5sa3KUwQ8lwFANKm5r/BI4teDaBDzVYpSwLN6OC2tSRD7g2kiQXwxDX9WX909it57pIkwSt78HyfNRsWTNGURxMgm6UbPAagpPUSla4gOxcaquLLJMke/rf+d2RE8NJHET1PJobG1z0/ovxxU9+Fb28j34eIaw8BDRWJQO8qAXYJ9Ndui1EM9ZD1agUDyUlWCWg7q9r+6IVbqAKdfA239sFlU6TWBIyE2eUZd5JT1QyX2jQ6rQ+ojKWNSytXbw/YX5zDSqAInrkBhxXERYmpix2ccxVA53XnDMJJUOdXQ4sMIhEAtvuaQxnIWYyCAj4PrISWJtb7Jq7EX/08VdiebAXtHIoixpB01fDRi+T++NhT1mGWiARdFiuMUeZN+gH29DbHeFzf/bv+MknfoTN1WYx4Bt7hfx+UBJgltUnz03kmfwGeZhh06kLOPONZ2I0vwdDaww/pF6eGk2y4CQglJFVUVkaNQoVXdDugLthG9ND3ex188OGtNM1PuqKDnjCqxfJivlsC75x3tfx5Qu+jsFoQdj9BcEfYY6Txakgn14PlwILRh7GwRg7ezfinL97IRbvNUDiTab6hAqOU1aFchkzrfoDOntsAMdnUjUKNDpSBGUhxxED3H9+0fux/o0RvGFfSjqWT3ZqKd0vlGTgPBF+i13Dd32RT6n9BjujXbj/s34N93nOvbHLWoYfuuAZEZb2DrG4yHnItaetmtQrJitZD/qMh/xcxp7I8VGOS0RuDNcJ0a7aGFQ9fOW938DFH7wI7oqFbdgML3HFOJofRFk1Fnmonc24I30ijfFwMLbQvkdD4FyAbdd30dStsOMpzcJKhBwjHJW0GdkjKVoUYYGJn2DTXbZgyzHbcPwJd8Odf+nO2LR9AKhMvsY6JiuM68Ls1gKYPvuZvqMs66lOZadL/tPHCp2NZhaafUEM8ExcmKZhRm6Oc63NbER+D+1e4LtfvAxfu/jruPFHO9AmLfp1jH4eICxCOKUHj4UBu0RSMn4yxDBRC0WKRfs3uD+RLV+isCAmrDRiusdj7o5f+8P7Y3VuRfatPKsQ2j0pzqUuiyANAmraZ8Cc25Nic57mUtQsc0oSOdJ5UPDHysUAu+QZg4V80azsNLONOZUYVHHDJThOk92DFRxnHFDPD0p5iawKy6q8p9JBkPkIkhi4AXj3H70L4ytG2OZvQzZhoY1Gmlqs3shY5RmVpAXOk4L7rBhLd50wqiuq1LBG5jM9G+LDenj4E07HnR50pOxNuZMgYG4j0isaoyml0rJbNoRIXTDmUoe/dhUcJ3OKRWg6ggrNQTo6LRQsCMLFoIrFMP7NT3wj4pt6wIgFF/6O7rWlzWIbgdPBvuC4GIVmGMZDnPzUU3Dii38F63MjBE4sxXPKGh1QDLz905b/Mt/4U+C4KSprMV11a72GhrMEVighQANa6q9Sv9KsWTnLMo8y59iOKdmBLlYpzPFOXoU5i2jci+ZQRxzYfxhgX3Bcy5Qqq6YQF0kjIutlMCQFx3mmZEeHC3fkCzAiRcp9gCyN42L4zcsjgYEdEizy07QuKgw4rsWBQ69DI3BoBA6+EZhlCDMIfOPJTY2GLSG6KVCuhAvBGIx8p8h4sgtQOm20kEgpExYWlZhnjGzk9zQ+SRexFA61s6YSBbUWJeVZJXfj+Yid051Rp0q5KGtcSTC8YsVl+KPnAjlD6qYv5B/m7Z2HRJvSe86F33gKjhvLIILjzL8Z29gZI1Ivbi2EE7LBNJJ2MXrWmSt/s9/YxR0/V7QDmV3XNoJCSajSnyrgOA1iWunYbEdAmMXCwK+s6jv9o+KzrCXrB7f1Hez/rvgLXFnbtiF24hHprrW/DW3nyHGdoVrykXs6AbsWr1/gIw+99VYYAYUwyV6mLrBhHNAoRQCHBj51qWsP/VEfn3zDRfjuv3wfRxRHwU9pIlYi9AOMiwniIEadCzyDQW8ee6y9mBw+xsve9WJMtq9iFK9Lgs0WcK8KjYZsISClML/uoAVONnHQUIc7R9nLUBU1FpslxLsGeP8ffBArX1vBICGblWILpgWGUghSQDAgtBQAmcaTqdw9FGVKE0ckINzWtfyTAF+KXNjX1JfOsxR9UvsokSGUdIKfqiktYaJlYmSOm2SDiBYfmYHacsTATJ5rXfGAGMHz+gKoiaGUV2LYrCAZjPCc/3k2wnsMSG1DZReStIVhpO08IZmUBPwMyGWANzXgM6fbFCh2F9h93S7s+MmN2HH1Dbjh6uuxvmMFc00PQenBKgnQePBb6geSmq4MEblOAXVVtoUmbwSzikoFK0iWFD6dsOU1HDFYStsRoUi2jPs1hmGCBz7hgTjlt+6OMgBcGrvaQ7RzLZI20RZMaePUpFekGvgdndSL4bVslH+YbS77GwYVHC/zCr4XIRxGiH7s43XPeA22rG9BrxwI61g7tFTOhGuKm13mkEPI1lEC354wuazYwrXeNXjU7z4cJ5z5y1iLV2Xz4LTSjUNZoYryamJjfIuEDStsecNWFlY0ZXWYhBgZDtm6RQqFABo3eJ2v2mbPYliDSAof9CBgFwKhMJWk4Gdw7Aop01fwRUeeSb6DIi/RY9Ekb+ARaOe8IaBdNAitCO4QIi/xrQ9/CZ99z8VwRyF69iLsjMw+LVB0OtUdyiVK9/z7hiAbuxUa9SggE75lQa6G7/lqgiZnBF03ZGGxhZdzTuOYsqpEMp//a/Xgo5pzPBgVSOoU4Vwfk+UM2+3t8CsfWZ3A9X0kPKBQhETa9DjqBDNELV+qSuQu0biURiJ8QnyWUvygjFHbILB91GWDvj2QQshascxue2y2BxJ3Us79fovd2AvvBAcv+cA5uKa9Gr3FnhRNaKbK7yspo8GEdirdoXFTEmzpkuBhgqPWx+JoHj94xzdxyVs/hy3JZmFJT8giY8yuKkQsQMEXtjVNBdMmQ+mXGC2t4aXvfyGyIxPkvQJFW8GteJ/saqDsgHLohWto2rn1Oek8mq4ng1Z2RjKdTIB63HTvNxrmtQLrZLXbroWqKDCXzMP9cYzXPfmvsSXdhrjtobIzFFWBvj/Q7hKUwlJuaguRHyMpElhhi7VoGc4xwPP+7kVIrXW4fV+07vk+xjx+hsO5TRNQFoxqldfZn5esRU8lZWwyTLk+KXkk4BYB7JbC/whHEa740GX43Ns+j2A1RmzFSNohwjgQvwDpgKChM4vU5lDoVY5Ic4yjFPWxLV54wfMxmstQujlap4Qjskc5Gn6/YQBLd4eYl3L9ttLFo/JBLCoQOuM6Nh4BBBHJaC4jhFmI6y+9Bhe85gJEeyPMFwuIm1iYpTRwJhidsphtAZHHzg4WWFvRS3cQyLqi3FFBsS8W2U3hVoof1IU2LFjOH14PWTKUfSBAY/ssJnE989/ZGRRh29FbcfTxR2PLMVuw5ejN6G/tw16k8yFE15wgI+df0WR0wpaCAuO+JD0CbqrklyRWTKpMYVkkeaVQqbItIhckBXIfVtGKYWOvZQXZFW3qaleGK751Ba745hX48Xd+jHpYo2/FcCh1wK4A7r7sLGPrrBSNKG+RoZaCBAEgDxHmFPQE/y5HYU2kQFa5PlK7QBaM8VuveBwOf+wWTBYTpCVjaCwSSQTFK4d7G81+NRnsCk6y5qampRrDZy81oBWD2CkwrvJGs+KCZmb76BjvzyK4A3+He1nZVAiDEG3FLkR2G3DzahHUAQbpAPZygPe88t0YfX+MXtoXw3QWDJiQSgefHqZ0XAUU124/SXyNpbLv09S8QFJOBNxu/RaTaozMz3HiQ0/G6U88HdhmHnFEdm6h/jui9+9KYi/JPdu5WftnId/VBDDzJpLo+3XfdLfkclYQszHK1jlMx20pjGyptuFzf/5p/PDjl2Oh3ox2RMk6nrFovpjJXHbqOd2XyBxvyRxXm4uhO0Z7goVnfOBs3OjvkIQ9CAIUJCeZ9XoHPsr/L79amZN661NvjqneroI6QrQh01C6IFy4PDMR/BENfBMDSKbUD5mC0MqSVHNOIT4Q9CEQxJZ9Gtaz+4h+MAdIThJVH3MfXYG8Y34KWXy6uWr8Uk8YBZxoxBkkNFzzpJiljHiDNelxdwqMiweFw4Jvqdq8Ec3keRqjXNwhcPz/ywV06KYP+hHYCP1onmD44R2RfCqep7mr5rAdjYHrvpL9sYuTZI1LLGFBUfS9teh2cxKc+LORSEVg3KXOdzsFxxkvSY4Szw7uxcb4XUlYZHRSqk4RIUuUD0w+Pg1emg0JtiUd9tQdd2YFTnpI1C7TaIlv0s1HMJw5VlCjNSbKjG2qDDMrNnYgucb7g/vx7wOOl+we0j2NbPLS0XMJyZWUpsWqg9jpo6zKHb1t4QtwGC6yLCu9LUdgf/PCX+ia2rZdrK4uXl6upS/2LKtP4KBYtMU0zzJmfb/QBx56860yAtKC1xWluEDJlGGgodFfCwHGo9RDe32Lv3v+uXCuC7C9OlzYC0HoYpKN0dDAqLEQtoGASSvlELuDPXjEKx6Ok55wAlbmdiINJsKiIkhDsIWTrmYrqhzKN7QI3ip3dcs/hNU73gs1T8fBSMCsBWczFkYL+N57L8cn3vBxbMkXEXPhmkgkALUknNRC5iHVqBlL16ACJJJ0moBK9i7Z0mo1UIlJIgG1pMzFSK+hnIDrwI0iDMd09WQrN9lmanwpEhIEz23VIZ+185Dp2sKqS2GmWm4PRa6AhevbGFcrGIXrePDTH4J7POYeaBdrTFy281ZiAmURpPYoi8Fkns9dSyU3d5ZnEuW3BG+46WhrpPww10+And/+MS7/2mW47GuXIbkpRVzGiOpIWoFd/p4bIMkz+L4aA44KdhxEiKM+siQVoJDtvwQMpMQgCABZkDq+ruUjawuRsFn31nD8w47Hw190GhJ7AucwC+NwgtRKhf2s16Z66HVZIxC9bWWWSA7cMXO6DgkD4h3IHtM2LEZQOsbB/GQe1194DT7ymo9g02gREY3ZHMrp6AYrbG4D0ucEiVDDCzwUWYW+N4c1ax075m/AK975crR3qzCOx8rEN8zlbmPsNkupnPPGBPAm8KRasgpiKjhO8FzBcV1nUvUWQzZl0orWrpGa4XsJjvOflEvp9MQ5Lwgi8H0FddpQCzhut2zbbeGQGZTX6AU9jEcp4mgeJYslVYggDZBcPcYHXvtujH60im3WViS7UyxGW1CkBXwx3GNxyJikmOXLwwy7DfpBD6N0KOw5av/S0ExgHddBUWUIPBs1vQ5oCkvT0qZFSSkBy4YfBFIg4fyuhB2uLIHGa8SMhUDe4ccdhuPudmccfvRR+PzH/gOT708Q5xF8x0Em4KNmaGzX57gIa1cOPmrIyVZfMvdskVXhulcPgdQVTjbm/AHatEFb84k0mLhr8F0gymzpQhn7JXY3q2g2W3j4ix6BYx5/JySLCQqCq2WLXt2Tzy1dZY53Vrtdcz+LIBafY1sYcCeUebj+H7vxnle+C1uHWxDWfWS+gnd+rtroRG9ai5I1TKAp8VCJnMrpr3oojn3Y0SgXC6Tg81Ear7AppNVwYwqsQOQMHFf5hs68U3nMHUhn7FFFH14TeTGopfcBDQ85ZwmOU2YoieHuDPHRP/s4Rt8bo11v4XoqSyUeDF6ItEwkPjg0dSU4bFlI2zHKKEXSn+DUM07BfZ72QClABosRatYVTOxS7LRFVRViSre/LwEbzeGVTDiCWSw8Ma4THOc9JWgwaObQ/rDGeS8/F721PvzCTdcOQwAAIABJREFUgxNY4mPR2pTN8hDUBGX1OXM+uZUmAIXfYLm3it989RNw7GlHYRVDWEEDlCXCyEPSkAXLtU4gVHXHhcciRVSyvrWIJUmH0TLuUhD+e5El2BJshj/pA9fWOPeVb0Gzs0W70mLem0OWpgjcQLpUjIS+JCKUfmHXk4CJIiMkHHOJJ5ywEqNESksB2g4l2cjCFdkIxk+eARzOsRo5S+w0TSWQEzSYtGPRau4t9bB0xBK2HLkFW4/cisOPOgybDltAf1tM+jPp9zOURgppNPnk/DT7MbtoxOhC74PAf1UpeMn/lesFdl61A1d980pc+71rsXLtCsrVEnP2QFjilA/r0VibnVDsEmsJTLIbROMAv4UsfWo/CyuZRWbugYjlXBC4NibVCjy3Ec3pYVajiGoM51bw++96Jco7r2PUJ3DuoazYZRWhLgs4bgaLMUekn2iBol4w0sAj8gmGnWzGWY2gGK913XV7hsgUb5Cl0Xbgg//FQnhZlgiCEGvDVcxvGqBKSiy28wjW53DJmz+Hb3/0ewjXYmGoarFUC+mM8VapHZOyQmyVCON5Vu289CfBSAzbMztDGZVYq9fQ3z7AE579BGw6YSuwmXUPon0shgFpPoHrufA8X1QDpUBjJG3kvCz7D1mwOTJ/IsUsV4x6uSfn4kVAuTxZ/ySQ0AemBLbkS7jqn6/CJ97wb2JW7KeBFGwJELBoxkyasiqM7QTomcrHEg8qZF6Jle1rePEnX4pdvd3w3VC6C9ix05l7Hfyz4eC6gyk4Pu1MMDDL9JyqRS4CPC7lwQiQExyvlCUphfIN752CJV0jNo/rnZYuDepZSAwMGCTyAeokcSCvnwWOd7jNLNZ336B7fsfvEDJNGsDNXGWRCyPeAPw/Cxy3oUVVMixDMsgpR1DI2ffQ69AIHBqBg2wEDJwgSikGDFcZTD1V8iVwgEEpNwLjmkKoBxTPdSI32bHHKctJmRUyx0t7yh7vOlM6gg+BglnxUFnjlD3jD4vnkteJB4hhhMuOqjm0nhUM3mAAfbneqcxTxx6nL4gW/yx6aOX0kPHgkQxXae5OohZzUZ57W78RcLwkWG6RQMocXZElfXWfO60bHmQPfXa5Iv8lsioWgsrXbjmOMbFI8ZjS3ICGzdaQ8oTsRG3TcCF4k30MXm9Z1sptefO3Dzi+3t41uzF5Z5tV95dEPgSSHtsIODBd5eW2vM1Dn/3zRoDt3H5A13oaERFkcuBQBoCMvILsmz6++I+fx+ff/gVsLQ5DMIkx5/RRkW3Iqr2rsiF+44gx4jBI4N8twrPOfSqybTmG4W4xGyAwbouuIk2OqPtMcFwsAw0b8vZ/RqKRzGAVe1ixVxWsrCIsUGv8qgCvfdZfY2G1h34RkggkL6O8KzCn6Pyx80GdcAz7WmU0DCwkgAG1ucmql9DpAsNqjH6vj6Qew+qXGBcjVI2Fw7cfhVPu+avYvrAV/+uTF2PPrp2IHSbXNJ3rzo1aBaU8B0N1WaeIejHGk1zsBAdeLIahE3eEYx5wHB7xskcAxwDrzhCFl8CPCIwDecWWfGVj6NXPWB3CjO0OsWThcouo+ZyVlUsTT7nfqkVMpjjJbamH8TVDfO8/vo/LLr0Mo+vH4jJMbXq2lZM57xAIJXhtdHnVpVis5IzWC+E3ldJQ7jzBL1fMXR2nRR4k2IWdOPLUI/GUVz8H2Npixd+DiZsg7g1QEfDISwSuD4tMTtGuVUa16j/rsV14/50+4wGkB1LkqRv02HafAAvpAj7xJx/D1Z/+iRhzRm0sa4LJMc/vHVTBjY7XQ/DUDTykNNSM5rG72YX2hArnvOccrHp7kfdpsqWbochobJCvkMKSUgmnCdKUONRF9Q1gmLCwp1dg6vNyIqFcBhNkAi6tgON89iXb1QVAV7CTSbjIUqjAG3waKrUN0mSMhcVFjMZjBH4PsT/AZHeGuWYRwcjHlz7yVXzuA5/HfD4Hd2SjynIc1T8CdZ6rMaEk7wocczxULkG1OHm//PvY7kmnBgFjgYfZhcFjEQFkZPB8roRWtPMJNHiRj6KpMMzG8AcBkiZF4ZUIFgNsv8s2/NJJd8VdT7wLlg5fUqkhTucGuPC8z+DyD1+GhckAi2FPzIPJ3Od1RIxdUsbRayAKIuMpB7TSaMXyXwM0toWJx80d8EtXOnPIHK+CAuvxMso2gTts4HkukrDCyM9wz4eciDNeeAbWtqwhiSfSIUJJq7BRRnFNVgHBcdO1IpQCw7mWjgkCxwL+eYiTCHM7eviLs/4US7sWMCgXkTvUcLcQshhdc41ZcFwfRUUZohata2E9XsPCAwZ4+muehrXeGsqA46tlQQVZzfFsOq+Usd8l2HKonXagGGY4gUOZqgpKysFU+yLl77kOq8J0eBD4c1q4lPUY9vGTf78a//6WTyFmSx2NXikd1dSy3vIiVy13S+dF5HtIixEst8bEGaFeavCi17wUONoRwEok/lhM4vQ1jDSC47bv73fjkmngmB7sBWRjG6SAo8qgzqwGQUVZIeCjr/4o9nzjJum8ErNJMkrtRjQJWcDgmBTUEqfcEs12+T/bxW5rGcc+4lg87uWPQbmlRu6m4g3RCNua84KFJT4nLdrKKAtLX2G/zuS5iw+8fUb1lgatPQvJcCKu8GHaQzjp48PnfhiX/cdl6GU9bLIXgQlE69ZndwiBZxb7ONfIbJWeJ+M4L1JixuDYDI7qohtNXUkyjFmzMZd22P2hSoMCaGt3hyj2y3z3Qg95xf4K/TPflxU8O7SwYwfWgotgPsSmzZuwZdsWbN68hPmFBcT9WIyOx+OxgOTcG7gOOdeyNMN4NEGe5VjZu4w9O3Zjeede6nShb/cQkh1OdmbloilbuJYn3ViUB+NeL0pG/JHNheOsKRGfA4u8BFddnndaH64dIW1SBJ6FsprAoxeDxJEA6aBAcC8HT33L7yDxd2EcJyicABResmkEScks0GiSXVZaeMldjd0ioyPzR6ORAPSic6nyOozXHGvpqGEhSNTrDGtT9IzVrFI11g8MILv9T276jXJGYQdDEGCcJ7ADhyYtsta2FJtx+ccvwyf+6pOIVvqYcxZBaxyC0kx2CcQFFgkbKgZHbW+uXfFsqVlUZvHHQeT5KMscpZWJEeDO6ibc7b8fj8c877fEB4WxhbOXJp5en102LWr6Yfg+yiyXTio5dcgZpDZFWRZoW/FHoR547TAWKnmAxqAEu0VijPst4wOJDGWLuWSA4CoPrz/7DZhbXsR8OaceBDw1iTkhz1Mkn1BmT71tpOeRRW2rws7BTTj7w89BfWwDzw+QFimsQLsJDr1u/xG4efI9O7919Gk9l5A9Jzq1lArIO+1xGs2rafFPsQm7Xzf7HLsCeY5ht4Kyx7VzoaZUFrvoDgAg3wcc72KOwXAkJpqinDk5zPIKHrtqF17mKzieExxXc29zANTbUmsWPTMIOK5dR3WkJvK5kxuQ//Z/foe+8dAIHBqB/R+BjZ0lCogbkLw7J/4UQK4BrQtv2glnJGslR1bDYv1xBRwHOwJp1GlkBzsWueQh8oUklWl8rFwFx7k3kzylbdlG7lAyTKOEIv44s85EBc+7KLyPKIzJ3dVMmbrjbu7CKz34lSdEHz3IkCzKuGYKmGErPmOlTea4GoR2xAbtvDGsdD1ZHED03v9nd2v8phpyajFEyJeN4g3aRVXKs+HZ2iHJJA1hpTbc0oYXu5/xDveeb81bV90a1/HzPuM2B8fbtg2wjAdMbhyfb9ftnXgYdwYuxn6mbrF3qCHjbTm0B8dn06yPbaNtJdxNkfYgEMqqfj+LES/HeP3Zf4lwZw9z6SLqSStt4QLwkL3ZUlbAFpZT6VcYLaR49Esfh+MefQzWB2vI/ZEcvjnB7Ya8WRoSMpnPBGQTBqQxdLu9R4zguJtbcAMHI58seDofe4iGAyykfXz0Dy/E9Zdcg0EeCzmN6IoeYJlY8l74V2R1KWgsBnOiMU3gWtlHPlv/0SCllJDTCEOTrbVsmU+sMYo4wfEn3w0PuO+DsXTXeWAZ+MibPorxzlWQMCbAtIBTJiCb1vigMy/wa2RVoQBcr4dkMoQzZ2MUT/Dc17wA3j08rPUS5OEYCCr4ZC5ZLcZ5roZ/xl7KnGeNXMcs0BN0E91NgqPcwGiuQxah6OlSS9xFZEfSItkOW/RKZXCvfyvFpRd+CT/68uWIqxiYNAI+RE4gwE1dEwJg6sbSAf9fq7TSIiwKysqSpzwKs1qXTGs7xcQbIYkzbDv5KDzplU8F7uJgFasCWdquo7q3to3Q84Q1SkYiAzCLtF2LJ69enqckoPvPnRGogWxrO4KT2OitDnDu098M5xobvaQnjHtimATBqNstYIXQLxUwl1ZrIVWqXM5auIqTnnwCHvLCX8eyvwtlzJHQ5KcrWCgb0LTHG8BfEpSb4RtaWZ82qZnOAB4gZp+lRSqC40a3kt0ilfoOUIOb428gOnlmwhCVqkIDjzryTYvQcZEkKZyAAj8+2rGFuXIe9g7gXX/+Lix/fw29bAA79TEXzIsOep6OxQ6SjPNGDErVGJEsAD2MGNaAOXKEXixFCAHlXEeMXCmrEUUB8nKMqs21XZ3t7m2CCQHzeR+9LX1sO/YwHHP3Y3H8KXdHfHQoYEZVM1GkVi/1roE0LUVi4/ovX4dP/uknMLc3QlS58GxbxCI4x+M6kqskQ5ZgcsO2C+MWoHGs0HXfhjLXEp9q4jX80kHoRiLFtO6u4X5PvTeuX7kal3/1e8Jqj7YP8Kun/Tf899+8v4AtI3sduVcgiEOMxxO4lmrF1+Y5KfCpbYQioUF2g+Ogpi+BjGeLMA+wkMzjTc98Hbwf2uiniyhr1Q7vkWEvsjTGG8BxkFYZXEpkRSPsXdyDP3nvHyPZPEEWpajEnHAWmXlYEd1QarBLTNrAPjMgeAeGy/pgd2IHmHIBmvknDE7TTUH9eBbB5Pn6alzjZwFwHfCGF7wRm5vNqIYVaO7reR6qUt/P9UP3BmEYuJygJRqyIYMWQ2eCEx58TzzkJQ+T9Va6gEsFqxKwTTGE5shwyaDfv51HaktGhkg+QZh6CkqTWSxiMQ6Zf44AzDd84Ub86xs/iM3YhMkaux4iESThvkhZBV5oyWTfoiRCNR3npg/cFO/G8177PPTv0UMe5CizAp5voyVzToyQbTTs4FARBjnXi7SSMMhVYkWAe5NeiIK+VWFcr8EPKevkILYGCKs+MAR+dPEV+PjbPgZrl4UwCTBo+gjIlK6UycqYmlUpiOHyxZZIj2AwNXLVulrWMzs2pPhmfGUIytJsl//jgHEla+8VI42uKOlGIPpMzmtdGsa3iZ18jykGseCciTQS5TRYSNBA2IHxkjpMZVW4l2ihV5jjdYO2auA5BJkoeeWKXwpr2AQiCY2GfmwkNixZq+L1wBOMS6CcxblcpLJk/XcgtBQsqRVM/Q3tzhADaKSg1YOVZwqyBzH2BCt41J88EsecdgSSuRUkQY4xz15xHyXXBNcyQVfxHCHgaSEz4HhAYz4jdaVky437hD57Rm8mVmRWMk8UUSSJHTZ8Vm2N18zByrwkgBxZHiaTCbz5PizPwWQ0lvOaf42Ft77kPNhXeNiCw2BblM+j+ZY6W8dyHmVdlC4SlJnQLhCZqaJlypMR50ojppVW3OKmdCfu+9j74T5P/zX1aYlb7QpkK5CqFYnkE/cSO3BRjys4Ln/ZxAYxAi+ELSXdS16FOqjQuPxeT+KZBhTtyuLnFTwh8wIqC3ESiuTU65/0OgTXxlgoFmELOM4ihxZdWGiTjlBpxabMGIuwHrKqxPLCMh7+utNx1IOO0g4zaqyyuHYIHN+/DeDW+C1z/tx4flPJWsMWlLmoewiJJg4B8oJAizIjGUtnRpamb7Xb0AygLPkDO7+EFcmOHD57nYOVpXJp+/v6WeC4QjZG5cUw27szqgI7uiTI7vTYRSXyej68SjswOyBczsnmwjoGqex1BMeDWgxvcy+XjsBDr0MjcGgEDq4RkNx7Q/ybguNyG12n483vSQ/ruusxf97AqRZijnZJs6AoOQrVDSsLdmXBKtU7Sn46opjkuOwsZk5IxjL35YZmbuJ3I/5k/JFzgTGFl/g8SxqU8LEhB9+gbtXlayRaUA7LYxHQAOTTQiBDnsQ1BcfZMVmJKScN4tUkfipVaLAAlSOeEeMOrievV9s9f+mAN5JbIlsjR6nOg4nqCA7Cpo96SKKRz8Ptj6KjomdhEV+1pK3ytnntZ1p4yy+mXW0XMC6fMtmb/rljuXNsF7AHDibWSKsz+5uZ3vJLOPTOnzcCJCc2NTwCBIUe5CtqleYtYvSwMJnDdZ/+Cd7/5/+EwTrNKRdEY5Rap4MgQpbTVNOWwEJ2eNbP0B5r4UXnvRBr/XWUC6UcvgjGMnlmYiaHHUFPOsaCMkfviBcToJDau1Um+pFk8bpNAG81wPz6HHZevBv//NoPSZGAbdVMprRdXM0WlIjMtcm/JSrChH+m88n8iarCApX7bM9NMXFyWH0XmVPhoY99KE457e7KQNqjPx8498NYu25Z2NgL0TzyvDQHTY24DOpkjZM5yFdiV6JdHMUe0nokTKRJNMHpz34UTnj8icj7NdacddghGXlsvSU1WJnorhOQiqEMXcOq3sgEFYMJMvTE7MeYVzJR5x03LYmtaBwykEppI6aRXJPVovc5hxiU0xz/qMZn3/cZXHHp5RgUMcLCBRLVYqYUSkKWVmsjZqHCADcMixk5utTLZTW3TBHwWszBmO1PiVfjqPsci0f/3mNhH+thLRmi9Cp4fQdpOYFPAMOAGZocKNgrgdfoceuj7PTLfvEZKAd9Ji2li14eoPhRgbec/VYsri8iLCLRTacGqjLHtfdAjJA4W4yhUpekZlaO1d4KnvGm38Hg5B4y6gsHtYCeXQMVN3622PK6yS7l75Lhrfrz2orGKrawr42UzEyGR3XDyTjUH8NMc0s12zMCCSwa8DNkvMy6lEKPADHKwpfrFz1zanGrBA7NYAP0EKYerv3CNfjwa98Hd5eDxXITetY88pI4qYK57LbwuOETwLP6aKWgxHGhGZky3rqkiM8nbwk8K6Iputm+D9ezMEpG8HsRMivDerOOql/iqJOOwr1+/V447pTj4G8OZK8hczyrjWa2a8OhqafoEfP7fWXaUYP6RhtvePzfYPtwM6LcQcT52WRioBjXsZTESkvhPAXHeVUcfWXTcx1RRoHg+MibSJlnwRtgNBmhdV2sD9bx0g+8SNvwebvM6chc94DMnWDSjBD0IjE4TtIUfi8UVkNnRKgGWhx3Grhx3aphm+3RBFHBMYI1NGrrTSJ86tx/wxXv/yE2JVuBqg+rshEyFlNGpSnlhxIlRVmKLMXES7A33IMzf+8JuNvjfhlr9opIWkh1X4o7CrtIqzdZXvLUNI5Lgm4YXtKlYOKFaMIbNnmXMWtRyWgLMr5wHC1P/BJo6CjDyQCVARf+5Sdw3VeuQz/vwycb17ORphl8hFo0pD6gSL6Qpemgzkp5T+U3WLXXcObLnoQ7PehoKUK1SsIXwMgS8IFAb8fA34/1L8zVWXVNhsBhzNQ1xOdB6Q4WXwmOYw14+0v/DsGah3pIIMAVUJ8xxG4oX0OdcerhkzWRS5xikbqwSwyjMU5+9L1w/+c+QFrJWdSO5kLU9UTmSNmxXkXGRjtjpPggFGeV5RL2vMR0lXiStlFq0LKNUcxzJVDCK3z0qh6SKxO873XvQ359Dmu5RViFajBEXXXXErYsCwzSiUNmY+tpC6kY1aoTB/W3p90gJn5xPflKuRV2jJrDdUA2i2AaM/WsANE954PLCpZM9d9ZmKnqAq6n3h/COhcpFVmd03q7XGtXxuqKN13p2rJFkowSXKjJhteSttklZJ+n7AtXtRa8tfCgFqjaR1KCLPau+4alXTXIJnOcLVpJmyPshUgzmiBCOjfYyrvSJohOmMMz3/FMrATLcDfVSK0MGQ2kqAVN42SLxUoahTP+0iSY4LjKjoUVjZ40GSQ4rvFaeVWijCnFLy0csTAizHHpAuLaZWuvnh8kATsAcOwXXzW33m+ICSflvPoDrJc5JkmJbb1t6K25uOB3z8fKV/Zga7IFfhEjIQnHc5C3XFfAvE3HYzVbZvRQo27jvyHnBhZcSEqogLDFsFnHbzzp4Tj+jHvoDfSVtS/AuMj0VGKMKiywinsBvVYcjfEdrYzMV853x5gkUuaCLF7GY5JSBCFlBxDXlDAjUDHGWJ7E3ygLMZ/N4fyXvA2Tr+aYm8zJs5QOANNJphJq2iHAT6uk8E4zeWB9YQ2nnHMi/tsTT0XGGBNy/zBeFrfeYzn0Sbd0BPaRFZiBxpJPdEU+at4yTjGmcL8g47CwVS6A5pwElOX8rueyDqjRDW92IVIgJTuRcnIy7yAs8uoAmdc/DxyX1GgDALIR5O6uUXSCGcfIhs8oNeCrtIqoe6pMmQBgLKRLB4TqqEvM8ithj+c+SUeHwPFbOuUOve/QCPw/MwL7WiToOW2D1nj37ze/3n3QIu7ZnaeMyAQb2TTpoFMSEf1h6DXCmKlyKzwjq/ycdP+bzkUBwZkLuyweKkiuBUTm2nqilVOpeARrRJt5wMzit8Y9JRWJrB879QQcp2eEKwVB/twcHJfCHwvmfiMAOWVW5KzA7j4pdpuuS8GfDn5wXEZRMBnGd2LBHCrFo0i8k+hPeZuGXm091MMWUeGTpLLb3xr9oXe48yHLska31Xy+zVHJdtIeXt44+Zty3Py25XpWQSmVuEVmjUXruTvO31Y3eOhz/w8jYLTuZBJk1MMOkTM5rx0s2IuI9vh454vfgez7CcK1CF4dIghiFEUOT+lb0taXIEMxKLDD2YHHv+IMnPT4k7Hs7UURaqunaEjLgd0wYwyLrAsudxQ4zmsKHE80IttIgywBmGAUY24yL2D13z75XMSTGB7brGsDDnUyF7KsjVzKtBKpzsja0F7Di2h4l2BYjeDMuah6LR7w8AfilF8/CVgU9FwSqOTaAv/4N+fDWm7QjhscsXAEVtfW4FJTd8NzEkYTZVVMW3rKwEJZCTvBSnUTkrkJjj/9nnjs75+JkZegnW+RNhPRPC2LTIF8mhqKkZvZLDYcrtXw0YCTBFjZ0i3nVAPAdm7zEsho1OegIZOcHUyUtahq9P0egioQ3dpoEiGobOSXVbjkI/+BH1z6PURlgIHXx2iYwPJiOfjHbNs3wAOT/JwFF6tCQXaeA8xHIUbjNWmVT6ocTeBhzR/h+EffDY987qOAw4BhMYG1QOx9iKbOpbOBOSMLF5QIEa0w2YAp2iJioFN29f7ECQnipE6OW2yqB7jyoivw8VdfiE2TzfBLNWkDDeoEqPJkI2XnAPEqaYvnluC0mFjUMi0wWRrj9977MqTbEqQhzffIVuwMWQl4ENwmRZqgYClAdSUmYtpGL2xBYZ+pMSe7trStVUv0fI8vXSH6T45FweJDV30nUGkOGvsaKRFs0wx/QyeYHDpYDfebEG4VSRfG/3rvF3HxBZ/GUjqPpXoRdsquAM5hTzVzBUxVZpyY2orqvC3eEwSbFCQngGdYrg713YSEKYeUrE5R2wVaOlrbpRSHjr3ncTj1wafgLvf9JZkHNCwcuyNJnjIuMI84Fed7K90Oes6wRR4oT3PEcU+MEbdOtuL8p54P5yoL3ph1JBqOqmkdwcKN4DivW8FwGRW+SQA0r4nlDsfeSKB8lxhEEGFsZdgR7cKrLvkDjN2UsrIY9COMkzHasEYZZZjkE/TdebjULTcGVCkos0HwUBn1oiXPwwI160T+ht9N1rWyxm2rRs+NgBGw8vU9eO8578bScCuidrM8JzQ5bHMILErVTw/YYl/mSN0c9UKD3t1iPOMtT0PmJcgjLSqwTZHacHKQqS24JQ93jhicShw3UisqPaGHOL5Unol/NnIbBqjUhdigqnPxuHARoMrJ0lTt6JodIKWH5a/uwVtf9fc40jkSURNJPFADSnYqcP2UyJsUlmOMeGvV+CcgmAU5/GMCPOsvnq0FCS4VFiLyDGEUoi7pBaGQ//69DLphEAKJneJirN0XovHDdcZ75W1VwFfecjG+/JEvYR6HiSa/xCEjgNB0EkMEW51M1khsBRhXE/iDCHvdFZz1p0/BplM3m3oZA4t6BnSdHlMZpi4eGI4NtWfFY0AaDjqBR5rYlsLWJxgb9XtIWHiwfAHCCbxhHbj03V/Elz5+KbyJizlnHtWkQlMB/aiHuqCGvRYJBUQ28YjmuapBruxVvtQQVHnj7BfiK0emSUcHjpt0g0ax7Bpi4YZ652Sr86Xmhmq+K4wTgz0KJq26PvJPMsm5D2dZJp/TSZ3xoC0yUaJB7koXCeV6uL/xOuXHTIeahrp+aHSjWRCWi5Sdnn4InLcEW+UMIAA5r01NzlkkYKAnOE65D0pzWG2J0Gmx3q5jsrnG41/x27jLo+6MVX8NrZeLPJDrRcgqdpdxLbdwykqKYU7jGVkVAqcQE2yOpepUE3TldFPWvNgoc3yMTJUWUQ0PRRIPLZAylkhHwUEqq8ICbcDo27AxzULP24Ro5OOKT12Bj736fTii2IKFfIC6tGiPAj/sISlT2OyyM746nY2KgNkyx1pUlCtim7VXIvNypH6K33zmb+K4B99ZET82eVBBxQPyYS5zic+ehT2LZ7G8EZNuep4ION69GNfIRmMCLprPfM7UHifIZwlrTUvSZI9TlovnMBbDyYJzERYh+uMAn/37z+LyD1yJueG8MIq1QGKKIlIYUea7fFrgYpLncNwAK+Ee3PWsO+FR5zwSRVAjpXksk3Ep2B963d4j0MkKKLnBSGEZUzqN0TOtWSl4tp6ALGzRZ6cPdbq9nB0QKu/Wdd0pacMs+CkqzRjBIioLMwr+CDgeHBjz+v8Ejku87mrH3RZrth7Bvo2eup1TS92DWyo4znOGFNwF/yE4rv1QOl4885ZiXFeFFYpSIg8JAAAgAElEQVQwl3s69Do0AodG4CAcARMXNoQp3WO76m53vrvZrXVHFpFWlDxeuw+1a7Bjcpu+9JoGnao/zmIcjTqZw4j0inT7GmIG4y2BaAHHW9Uf92kOqYQGlTdRRnOnid51Vk+9ljpGuyGoaZujkkdYyGSc8zIHfuFPpSZ5iJXuQvpiSWePguOVW6r/jpFV4RDMJG//a4Dj2nLHTUFJtOzhZF5J8obIBrKY27Tw7BjthF5dAYmZmTXnnB9tCV5tDazdt9Ws39+s8BZdT0uB1N04Md+19i40/q/UZBnHELfp2kpEANTwx27R5x160608AobRInrIeQvP9zERGQEfg3oB2Q9TvPGsv8YR2WFYapZQZ2xPJ/PQRpaPMG/3BZCZ2ClWB+sITwjwvDc/F5O5daQx7dwIeIVGK1nZ4tLnIhqlxjzsAJi7BzoavH3KkZBd5UWO6JFGbYi5cgHOWojRVxO87VXno5/01QyH7TnGDIthVWExZbixPbcTsWCQJgiaeyVGVoJ2YGEdYzzksQ/Frz3+vppYERsgmxDA+hUjXPD6d6CXBHCWWwycOSlQMATT5kyTXgO6mHYjNTpz4dgxiiZF6a6hWJygvauFs//6Bdi7aYJ2kYljDoe62EzWS/YRu8LKrkJHmHghgQOzM2krribYfHGTcQ2ouFF/RBUZNKiJ5ENVStCmBASNyAia8gBP1qOXe8DYglWE7BHG8HvruOgjn8FV370KS9EW1OMWAY1aCbiZIoqqMXQSNhBN0WG6isXeItKChowUsWgkaV3xd+H0p52Oez/u3mi3AcNoDXWYoWpT6r5IQsFxYtBVjeiuHMesVY7g+925wDnsWaFIqsyXPXzurZ/Cd9/zQywmm2UT5riKwRahwYbmbTTYonkjELKTgrICVo3UyzAJxzjy/kfgt/7qCUjm1pE41Dkly18Z3twgOcZBSTiAjD/dTLrC0yy50kUtbEIBTZT5q8wi1QkncOIKkM4tXueZ6nyZZ79hV9B2MSZmHbqi2uXydwRMMxbSBqiuqXDBay/ATd+8CQvNJri5L3OgF8ZIxmN4rpT4FThyfeSFjr/Dlu6NzEVh3HXmgqrrRuY4uy7a2BKpmZVqBdHWCHf+1bvgwWc+CPG2GNGCL1JFKcXfA4qY0c+ygEMWMTW2GzLWacDXyS+wONIIKE8Qo6wbbEq24Ttv+h4ueccXEJehgMYJcgH++vlAuKOllSh7nuvJ4qpn8kZpqUaSvaBRA77MG6NtSyy6faTZBEM7gXdSiKdd8HQsz6/CYat7kqEfhhiV68gHfJ4W5prNyFcrYXQTXK9Fu7wUsIPjRea9auZzXqvpopjIUeu8oUwEn7FUl7CwNoc3n/VG2FcHiIolDOx5NI1W46g1S+1mrus4iDHKE9EibWJgJVzGy9/xErh3dtSomPGxpo6/Aog8WPpFIM+f39mdZTWa6eQhSC6QuGa4BhLf9yQs4I/N4psNq2OM8a1kbLqVHGix18JbX3wuvB0K2FLWhgCs3/RUo07KLcqyJLjFdkom02VTibTO1ZOf4JHPeAROPOMkgF51IVA1lfomdHjCfm8kphAlgKpqjXfguLB6xWDMRk3lrYi63UD7nXX8w6veAn+0hH47D6thpCOD2kYt8Y8bAw/jNBwlaxiIggjrOWVuSvROHuB//N5TBezn3sX5rXQbBYNNDWsqIcVCoGoidt0kylRlhxiBBhqZ0tSwKlWXmwVyNTksEAeM2ayoWRh9exWf+qd/x5WXXiWySZusJbTjFr5xjJhCM+YaBMSW/USfeUee5cORiKteRLIuhYVNUyUDTvI9Oq9aeU6yfqVwpgC5/L3twvd8FDm7TboCYudcYNpf+T7Xlc/uJLCEFGw076VExuJurbrTvB423ArYqeJvMlc61g5Bepuge0OWfQ1aJrgYmLlNmThFQrlWaeHNF4uPRcsiJ5cagcgE2VKOO595Ih72/NOxbK0DPZqaFxIffSuQ72zZscHYWLOQaLpz7BaFq6Api2MzcNwSuSthP5sCJzuDKcvCF+cEOwumsmJSXNJpIxqP+z3/79hf5Or3qKfNjpNoM+pVH+FNPt7ykvMQ/bjCpkmEuGUSyjOPA9sPtTuF49SORX4tkz3PEfN52qdyplBmJXNTMfsexiM8+eW/g8NPPAzyqEMabtYIAwcpDaVD7mfmWWcklrTwKFfH+c0jLglRG8xPO4NYjpyCfCXyoEAaMeYZ41wWW2wa83KPImvcg9P68Ev6Sfi48qIr8clXX4SlZDMcYcFpgUQ6BsC9gp1d3NctFIGNpCrhOiFW/T2I72/h+a97LspeizEmqMjAPQSO3yETWTvxtOTdMf7FK8JsTMo+NEQVKXhwzbsinUP5EaegoaUvTEjtEjEFdAHalZS0sXOBeHlptG1bt0Xll6jiwujV798Q/Hxw3JwDOva4+fiONa7m5crupEQMQSO/DAT8F3BcOiFM6z1jmQHHGd+EyekxhylRxIfA8f17cod+69AI3LEjMIsQpuflZhKnmlfcDKKcMsuVsy0kFDnjqP541zWtJDjNWwWYrj3NySlHRXCcWA5jaMt4Y9pcNFGX4rVofhMcp/43O1VcZZUzzyPqw7xRv3cmZ6d64Kag14HjTPbZzUXyX+ULHuKmPwMcF+nDUqSvGnZzsvjndeA4pQn1lKbguDG515s8aM9vovveklhA+Ro1sidOwz0uKhU/EW8MuUNffCmihFrtQOZVX1g4au5Z1px1xW01i29rcDzETjxwcuPKO50gOrxgQhaTxZIrSCqslYP3cL5xcesD6u7lZw1rx4/elyd94Kzpfb+ra/b4v02YWSG/hUfTxaKB63tYrzN4VoQw6WHnF3fgwj/+F8zt6qFXDoTdl1AzETUiMq/E9LBF4qfY0d+FJ/7Jk3D0aUciX8wwbsaAQ4YDwTwGEC4AGteRQcXWfAJLNP27Y58/Y5cYJbE9P62x2C6gN+pj9P0Eb/vj8+HtjREmsSQm0qquAipTKJwAJBMeJpsqsaA6fmRhToIMwyjFkScfizOf8yT427peV/N0auCGL16P97/lfehXAYKJjagIEVs9FGRFuT0k1BNn2zu0PV2yre6gSaMeKxLdyEmwF+mWMc75+5egPAaYLBUYWwncirqlDkKK7pLg5nuY0Iiu5yMvyRLUWTttgTTtO13C3Hbt5mJAYVqQOrCLk4hAk9y/Da9x4TUe2qJFk9digiG64gSJchdIVSeZB/YfX3I1PvG+C2GttgL4UqaBkiHS9iRsad2xBPpzjIsxEwTPQ1FSAshDbmeipb7mruDxL3w8Tnj83TAKR0jjMRovE9Y7WbhMLsn01bWm7ebC9p1ycfcvDIoBWuMhLkL0xjH+5dUfwHUX3YBN5WaiXcIsJKtQHbj1HkpurpYtz4Qmb5O2QDvX4ibswCPPeTju+dSTsertQeUzCSCwpYkCWWbcLDhO/Dsy23gflDtRYFwZkcrSNXrhRgZFDBeF0UoASNlpbLvX1izKG3RlekVM5B3GtVCTGIIp+tkKjCtY41ch4jrE9V/bg3950weRX51gqdwkxRDHDgSkZKwIIx9VRsYe53QgOt9M46loUZPTJ5rdRo6In60cUzkQkMVHYDHxM+xtVuAdFuCU007FvU+/DwbHBWJ8WfpUZp0xVY3ekXYGdG128og7MFMZAGRmei1QVaUULfrjBUTfGeDNLzwP8TiStuXGUw27oAxlDBqo0aag7wKiqR6dsN5Fa1i1O3KXXMUaPsELx8IwGOPoRxyDB//FQ7BnsFdYqwSQOSZObGO1XYMfRLBHAcJWgd+W4LhDMJtFHl30egDkoxe1Y91DGZecHpqqhe9aKNJEQOkt5VZ84KXvweqXh7CX+9jkbEbdZDon3RZZmYrhL1m5ozKBFwcYJWMUCzke+YqH464Puwsm8VCKNF4dqQEY77XmfHDk3zt/hX32GyPDZBaY/icJMDfblXjgo84fUUaCfQzGxBcZJoJK9cpTF59962dx1aevQjD2ELqusPwDd07AXLHtdbQAQmmWqq0RepGYs2ZtBnvQYtVexkv/9uXAkcSaGlixjTypEESmhfuWbpYb3zetCHAdqpyGMpcNGM11SZo2m3X6Dkre16SFl1v46P98D5YvT+EnIWj1zI8qKIvBg7yA4ywaJIwWcggP3QAVtYX7Nn5SX4NTH31fPPRZD9MCq7YubECfdfwECNVaoHaTyPgr4CAdJ0ZCQhQXyxqhH6EicGg02Dk3/JDAdCmmf5HVk/1j9St78On3fwbXfvt6bPW2IEgVpJ3aFm0wjpZuAhNHdJfnjxajZcRaIHQi2dIIknMdqXSz8rx12mycNJoQdWwhfT/BbwOOm7U4bX0V6RUWxbrhYa8KAdCN1sjKapeZLGimxix+aycPQxY651XZsCRbiY4755xoinNdiMRZrkmTaFUDat8LKa5RfzprSuRuhjQYY/t9D8dvv/7J2O0P4fSAtEgQBYRmHRTjHGEYIGup919LwUDjuiNrv3R5dm6E1d8BYCzMdAxwxgYybngeIeCmkb3zkJiVg1XjsTuz7t/+939bNrfkv9/8m28pUG9SYjhMKAsbfrMFgzTCF97xLVxy/sU4Ml9EnCk7PqAEYEHpHe1QCT0Xw3KnyDClQtSgpwQV9VXqJ7MzOUcMe2M87VVPx9Ldl0T6rqrNeYSFHB062RyzIpN9TYqVFQsyWsSpaWAuOv9GWs0wYDWQq8tG4xcoggppTJ1RLRqx9E9dPa4TFswsi3MjEK3SQR1j+St78Y/PfTcOKw/TdnGRaFOyAuVYuHOwG48zOyHrjNIvrYNJNMTqtl344/f/Kcp+Jt1puU2Pg/3XnL4lz/jQe372CAg4LhN5doZTooqJlVJs1U4ZbQjU4q8QPsi6Zk4yoRwJu8i6IqhuBipzxs6lrnCq81W0dZlPEBz3SjQ9shWVaKGsS8NWN0fCGTi1MWNUUEavVN8xlUOYLuDZyr65cmr3XjXHs2HnNpycJnW+3JMY1WmtV0dC1o3+nXRJcf9wG5RhhbyXGeb4LL+ejfbPy8dvaZQ5+GaujvrPi+ez+549Jn3u0+dsHtbP7qbbdzeefpeh6nYzogPyNo6eHr9nXXqa13RkHHM1N58ot7ijT5+9krv2PWYKmDibrhp6p2cUjZoHLbp48E3Pfa64O+HpX5q1uuH5GTh4+js3R7o6FrVOLdUf1/zI7LcSMNTQmB0pKktFTIpsATZ1u3DZvanHYvNSfEDOyIyRQStyrfxpqQdOyTMSlH4KHDdAvjlrKp6iUm0yLUkoorEkO2RSFwE7fogJkETEM4IU/VRnvBXmuILjBZnjxKaML0hnuq5SleY7DtJ5oP4T6qnViPeJguPMLQMDjgtznNlCS5+cAN7IgtdSQji/ZvGIhd/BFvynZdG989Z/3aan4nbYbsYe/G4zKl88srKwjtjKlYucChMRYReZVtBb/9Zu+0/smMLdNykniizMblh1M1B2YQdK6bu63pHWaJ5KO/r0g/YNC1OgkiGk+2zZDcjk6zLjbnOYbTiSv9/MOEA3KBOOjFwGW6Nj3xUzolFTIvIWYK96WP/mKj708ndjYXkg4Hjg9DGUZM9GUyYid8FvG4Vj+Cf18Jw3no31TWOsWCsI4gB1SYYqmTuU/WBSzJbgStirCrbZaiR2izfBW/eZchzIBk2rFO6CB4umijdFGCSL+IfnnYfi2gp+FiMsY4QNOXKEEshUpI6npWZ1BMBoupTXIgsirEy/wRpWkc0X+LWnnIaTf+tUkYUgWZ5scXqRMv+59PxL8O3PfBshWZnC9lE2LpkhTqNayGEYYW+2jDiKMErXEfZMApdk8D2ykSnhkGC0OMJT/uQp2H7/7VjvrWNkD0XSxaK5mGwMKgMhZ2Zz3TJbzYGEDBaeSZXJojOuA0YtwwI16hxyahXGvDmwUwOd2tM0+aLMhlPaYnwnOsWWp/IC/HNnXkegiGMwBj5y7gdx9beuRa9ZQNwMtE2UppAcR7YZ2YXoZlYCgFAmhRVFmmqQKtoiacdwFiysYC9e8LrnI753H6OFNUycNZAd41QGHBdgXxVG1UDNbMYb1s8vOrtkHdUtFooFBHti/PUT/wqD1RhhGsFuA7Rs3ep0mluVDqC8i1a0NXqQ7Zz3C+zybsDvvvWlcE60sR6PUPm6LrihE+xobXZcdDJUWlTSpKoTUjCb8BRUmpmd6CPuYs4siZAGfNNe7rYqdSLVWrK1HVeq4gRYAoIBlE8Q0NxGlTXY5C3CHQb45kevxKf/8TOw9lbY1PZFZ77vRshLytpQCgDIylxAMIkDDU1haZxaoGgL5JQjsC0xv6uzCqGjchdiJudVyIMMa84Q3p1C/Ooj7437POZ+cLfYGFYTOUSw9Ux0zKfJWkct6A7cXbCbRWn9kxpCxnaA9ckamr6NOSxg7qZFvO2cf0BzWQtvyMKeIyaEBJPc1kLfCwXMS8hMtn2UrTL8BNAzCSnjKLXieCz3m0BYADvtHTj9Zafhrk87DqvxKgInlvioRn48jBlGuDxvbZU3p6p9Tu/T/EERcjRsR5NnHpn2e34rx6DEXNLDTz72Y3z0ry7E9uRoBFmIos0kboc2jS15jQ4s18WYQLLDw6KNop/DP9nFk//iLJTBCFbkos58KaJSRUWU361MjJypY67goB5wO8BterDYmPD8FAYjp0bxrZDiSKfDznlOPxI6Z1Y2qh3A6579WhxeLWGhCGU+NQTAydgnWx6uxGfR7GYZkcVOYZ4Rda3QRBW2nbQVj/jDx0q7ZNsHnMhSSaubT4uNQUA3CJ0tU+kJc4/dpsx9W7J9ZW92vSgiT8QfMtRLyos4ICeA33ntZ67Bx97+MURZhAH6qIoGtheJhAjlsvpRgEm6KkUMaroHnsoz8JDMIhF9JE548K/gQU97kEg8UDLF9izZU+R6Oc7ytQVcMp0N40RTQY0b3eG9WzszwHiWsvBPZEgTtBVJHV4//zIFfvDF7+Pif74Y7g4HcRlL1xU/P/AjKdaQoet5gbDbu/OOFOVMUUp2EAE9PAFx1KB42qQ6ZYNraqtzS/6/O8+YhJxl430g9J9i0nT3b+anoSN2o6DmqRJJTRFfFcWNg4N8tsL2ClxyTsl38j4cG0VNsNyR++ReEHqhEsgJUEvnV47CKwWIXPPXcerjTsVDnnUa0u0VlptleAH3ZMMY7oqbRhbrZmm+3P80Sdqw1vRZakyTM98GsEqjSPe8Z5O9A6gOnJyxccH8Yn+egSsbH7E5fWxIkqfb174zQTsskCEoe5hLtqP5MfC3Z78Ri6MB4iyQog6LBhwbnhdoGEtnDOnss8ZCKnBCD8WkwMDqi8nvpEkw8ieojmjxlFc8BZvuMa8FKJEGMlRWPocOj9ZS9HRd7XOtsyA4u/J9cDnea4nKq5GFDarAQutZIgtGKU2SLNg8Q91x34mEOeUnvpzH/+bRr8Pc8gCBHUqhWotqOj+1+K325jStbV1LznUTZ4JkfoLff9srUd41w7g/MrHyvy5Y+IvNyNv/3d322MmQzRLyWdbX/cnA0FMSBM2PvcyXrlYnb+UMzkKPIDKmNWcKYTMoS5xQ4gM9CgSIiTn/SiPzox4RzNUYZ1UvV0H5GXykAHonxSTXtCGn/HkjOLuH2Ts6WRWCVATIRV6FRuimK84cdzcUf2fdMdzfM69AsVCi8GhgrcSkjVQr07um8W8D0qF+IP9F5nx3X1NGbUeQme2Zs3vtOoNnZ5pu/1fWq+bkSpqZ4QrT35cz0LSvWN8vxs5d1xynnpkfRuKC3yTdg+yosSl0T35XC89RcpYYH8pz06K3gRh1Tsm/632UkhNYIqtJc2z+0G9ktrvNOuO0g0rH4X+z9x3gll1l2e/ue592y8xk0gkEkAA/JIiIgPQAAhoFRASR3luQYlQUfwFBikrvEZRi4LeBCAEUpUNIAkgogZBAymTabafsvvf/vN+31jlnJhMgd2ZIBnJ5Ljczc++5Z++9yrfe7y2ai6Rf5WxjLMZyX5XJ/DernP7pz/4bf+Pc8N33ZszN1+k/HHDKmm+cBv/OaiAtmDSvQJpwHFPKZZEznV9GiCZ9IfVJDSZB2CKn0xwt7s5eg5p7c7cUpU3tkSBBwtuMUja/tlhWtz0TTcF6Nqwb4zmehoizRDGMaQNQwX3arpEt3YQ12qRB5jFTQa1VZKzLdZCcpgcTbTAdmR+2ThXCjpmznJS8PpI7VHkvwWRincdQUwaaupmD2I3Wwn70CizgLc4y5ZeH/uNAQ/CQ/ZY2bW+Cy/DualLeYxRmqLsVmiCVQUCZIM+V88DGIfvFP6UXmoHcuoDPYCr9b3n4xsvSSuUEuDAMLpFbCrvU8KTMKLcPZfrz5npm3V67XU1Nhc0ks/YJ9us1b4SVftiCJnB98aIO6LPE3LCGANUAyaQHfL/G6x77CiyuDHCMfyyyEUOjGgHH83wDbkiZb4Fhd4THv/LJ2H6X7dgdr2LkjtCJE5RZCRZwskbJIUWD62jrEBgmaiWgwmEdhtc6GvhbQy8QRhh9n3tlF9vWt+O/X/sJfONf/xfJqAunDMWrN2oV+q5RSCCfqCAs67qqxOeXx5GimqCIMnjbPTzq+Y+G98s9AZRK+lMOC/TDEM3FwD+/8YPY8+1d4iPJTtksMd6kLbNAFIi4QidKsMH77WuIGpmucRSJ3UQe5VgJ1vGYv3gijvvVo7HRn2DDX0VnIcLeld3ohz2V6tMGQopm45lFIFTGojZzLDCui5RuIMIYFv9C62UtnEbjY83zP0FeWqLQQoUhgS68whVwXFIJCYi7gYAgUo+KPNKU2bR4IUBeufjce/4Hn/noeeiUA4STCFvjRUwmK0gITEpgWysBonQKFysZyqQkxFFZ/ynNgOIMvVN6ePRrH4vR4jrcY1rsnexB5HYNa9sUUuJtNVOs2OJ+M0uGzM+mwWCyiPj7Xbzqca9EfxgjKQlUhmjpC0kWtAQAzgW3GlsS3ufSbZF2xlhb3I0/eucLkZ2UYthLkdL+xAsRSAeVwAwZy+wg8/5zpKlNjEDoc7Lt63IdclAya4/Xkp2sjHLORwHHTVEhtjw+QYQMvWQg8tdmd4NP/v1/42v/8h1UO1oclSzByxp4VYuFuIc8S6WJ5LqB+PDK+ihWC6qCoLd4GEbCYIXnIp1MEIQMKHTEV5wBv6k3Ru+EHu712/fBLe97G/HoT70MqZ8JoEB/15qeFZssD0RyV7jyOgSv2gzYNt6Kyz95BT7wxx/E8ngL4rYj0jyX4Sz0PybIQqdbeqjzWvhDYmWgxYoEG07BLTYXIhSdAld3r8TT3vBkeL/YYtwZodyoMegvimex+sXa5oaZH9PDzuyJXoMZI00uxrGrrYrDBh5ZZQKO5+jlMfKvF3j9M96I7avHI0478GJHfKJDMs9MgDBB5sLjs2JojIshNlCelOOZr3oKcEyNOmJoZKz+/ewtEXgN6POtBYstBHUuTY835rHMre0HrOIIgnP9UXDcZTiiLBQKLBcNm27Ap173aVz04fOxNeui7w+w7tSY0C+bzNA2ED9ygprUNXGFJpDM0b0QdbBrcjWCbSHu++jTccL9TgK26HVwJNJCZEpPmz8QThHGObsheRSWyWvROwM6EOA3f6Vrpyo16rqEF3M9cFCuUangkE6M1z/rDeikCfwNH02uKqHAC1AXJfJ2gg4VFm2Jkt7rZKJWvDlcByusVkP423s49rQT8FsvfLD6iDcNvMhcC8+itQJ/DZnfppEme77Ymc0KCgLrKsfXGkb+X2xIdDzSo18Y/RzeJVBntQZy8s8bwAX/7wJc9Plv4urLr0bX7wgzhxnVBCLZHO3GXRRZgZogsuMKW5f1D5tkfM9zrT3zDvQ92GO4HKznmuezIaTfN88BP1CP3XIOtP6aq6xMU5Hrp165RTvtV0t9aOBTueQCRckwXrveqFKFIYw8qLO5R6a5qBrcCFEcYlQMhS0+DscYdUa4z+/dB7/yqLuiGlQYRROUQSmWZJtdv67LWn9D/F4dYzM2oa5vMxXb/Huet0W364xYSbgl+uUCunsWce5r/hvf+bevoTuKxJqOTzWVTBglY5BxpOB4i8wdq4y5ahAFEbzakWZtkVRIbtLFQ//gEeicHIjNFPddsstsk1+GER2TjDXQ5i3bWRhVEuKb0Xs8okc4wfECjjtCzYDWoEHJYF4vhlsEiPMESyt9vP133wzvh/QyDeSTHve8L1pHWnCc90fpHGwS0OYv7xR44l8+AcmvBtjorwvB40j1nL8hjumf5nsikSagT3fmIsxd+AzqrHne8qeAMslnAqpIRoOpw1g1ckuhwigq0BD0IUPPZ0AnyQZaZzKHgYNcf84ClYadaXJqlBCwufMbQRDaHQibs6D1orLhw4a2MdzEpj0ns9DPwHGuEnlQIFuy4Lghn013Dnse18B6S4aZNmo3WTP/NJ/vT/K7ps2Vaf04U4/usy5N7TJndpWy1hqlgD0HWTXSPHPcNlimlpvmtcTWQrqERh1jbL3ELUECtWnB6kvjmOo03wsEJGd2B60MRS0mTFyzN0/3AgdN3aCuqZhoJROICqq81DqCjR/+WZvSrPO0MWKbNlp/W3CcimbmLCmpQS3GWgm2vhEc/0lG2A38ew5gxTKrZHUcStC6VZ8YNTHBR4Lj4bgPv6JFprLBxd6KihaDW0lOVlSjjEvU/BRLaK0ppm0im3djyIJK3tPzoLChBfuinakr5D9/EiDOuqK2lyOT8TyXMG93Bo43SYNcwPFCs0r2AcfNvDviwXE96EomnKES81nRElDPsYZ4JI0NT/GQiYO4Ctuw4/8Tjvef5fScqw/HKN3crvYTvJOWaX8TnFp+r/hAXdQnZ50KbZdyrlQAcRapIrtnAOQmwY2f4G0c3m8xTDHLvtHO66wTOWWR2O8z5kbW31c2FZF0zB6D2ofO/XnuvzV4YO6SZDOxxvxz/CnL/uX3Tg/uqkwAACAASURBVBnp5uBrwQvDlvLdQIMUySIg6MFCvImwUA7QW4/wn689F1/+wBexrd6KuO4gz0sEUQgvcDByRlgJV/Erv30X3PNZ98aGN8awMxRJiDBji0bCvfhRiSemSlbUHkJBBiEVH96n9CNe3UFd1eh0OuILvJD1kH8lxdue/1YMNgaI856AymRxU9KhpgJkalKayOfmIfY6pPaganP4tNdmgtlWB499zZMEzGuiVgrPIPYl3OzL7/0ivvyvX8JCNkCb8fp5wiKIph3BmWuVWlwEAZsXhUjryeKjj3LoEtAvMfSH2Fga4t6PPR13eMQvoUhapP0JRs4GgojXVqovqSzUaushYWViAqCMPrKxpbQwC7z6kiqbTp6TeAazqtBFTC03zMGQwYBtJGxTlzaZFYP6NA2aMiIFDA2jyRZvRuUpU557jGHRX/G1q/Det5yDcMxuro/FtiOWFK34zdKKib7bKhXlfWIBzfdfoZQu67AZYy1axR1/546433Puj1F3VUDJUuSm2gkWDYewSk1QnOUpbLK4560iRN9d76I6H3jDc16PpbSLDoMV2PyrHGGjXRs4LkFqfoNhvAHv5i2e/vZnYbKwhkk/x6gqhIXpstkg954gqB5aGCxKPqeYAQgIt7nesVkRDPfNdESM9YqyKRySXpHEHQzXhtgSL8EfeojzDv7jzR/GN869CMmuBAMsCIsyz3KxLQicAC3tfLwIeZ0jiWJkVYaiLkXtQM9oseRoPPHrDhwXhZuiCFPsrnehWmpw7Gkn4ld+/a64+V1uIT6vfJ3SLeF2PBR+jUlbgqIEGjorc++6f0hieenDISAfjkVl0R/30R8v4s2PehOiKyP4GwyK9blbCyCYESB3aO/RQ17k0pwQfF+aFWoZxnVOQEiQId9gHI+x++idOOvdL0B5sxRFVMCZ6POTABbj+TqF7g4AjOvV6U7JBoMtALWkIDiu3rSi1BHMqUCniBDt7eKtT3sTnG8HYg+VJJE0LthwCb1QwE+CyWSPc5iRgThxRlhNduLhz3sIbnLfW6D0UgReR/1z2cEnMETGfkvQyATLHPD2/xhgXPZF1TSy4cMmnEuLFV4lQVvPRdkynAWoLqrx5rNei8X1GHHTQcqmHtcDhh7zexqCk6p+YkORfr70MyeNWWxr6lXUW2o85w1/ABwFrJYr6C6z+an7kfWhtgdKaWpL4ToLaFTgfw4c5zWLNZwp7sxerYobPaxXbQXH88TzN9uokJii+8JzLsQn3/8JaawtOAMZXnmZSuPFDyIM+d98Pg0DfOmNX5BgDy+kRUeDtGkx6Wa45+PvhlMf/H/07kdkZdVwIvoVkX3PtVstQsSLWmoFs3jzphvMY77+0pVktjLwT0Wey5xl88q4Xc1oM2RJ7wW+ff7F+PJ/fgFXf+dKREWIbhPDy/k+HHS9AUI/FjulgjYnBozmobhuaUfSqn2ISa5Xl11TNDMrwKxvlr1vXHjlEBO3Gsyqc2PGarMr4vS15njVyu6f/5iB5vIa0/wFssMdFFUuwbO0U5HQRTMumLfie4ms8yg1T0FCOlEgdSbIkgyr0SpudY9fwG885Qz0Tu5i4o1Q0iJqvAe9hZ6oi1R7+/P3sTlw3FTLwixs0LQlFotleN/q4NVP/WssrCUIRz66QR91wbnHGlv0nLImy7mD67STmXNIiCDysVGsouk2SJMMj3/hk9C/XV/FOLLJ82c1wFs+qHaUgG+tkQ4KHBcLJbJgayFQNKELpjh73kQstTK/Rk6lpUtFXYC4SrC03se/POeDWDlvD9w8kDwIstJm4LgGIQsj0weymmpdoAxrjKMUD3j6/XGrR90cq72VIzqQ9edvxux7xaztA1qR0LM7d/QrwXGp902T0fpGmFBkBTJNuCUB8oAqLJLWGvHxlqB3kfEr+DNjExtg3QCqtqFyqMBx0B7ox4Ljc7YJBhzPl2hXRVWjCbM1c1Qb1brBKcxi1njDft4soeSGNub2YcRLiWjsFffZ4eZUCBZMM4vWvs9vrnlsLtTWDrK/CjhhQw91j5bjqyE/KePcVaa4CT9hmJ7UUq7unbQ5I94QxmyeN1LviY2m4QzyZzV7RMO3CYCneSq/O4gCtdWp6cGsVmhc02Vksjidw1f0HGuATlFkK3NY8pt47mJ9adTRm1+/b2ij4ef0/ewHkB/oLgiewaaKBaKJTHDfHCfwaDlLdTBLZqkR2DU0KhuukWJBpWzuOiz17OOq1YnF5CyD2zK7BRzneBNLXBJbCI57Ao4HaYgo7QgGpo0kk0tiwXG3RBM3IDheeGobZUM5ref4tCn1Mw+O83zIPCZ1VZDsq3GLMPfhBTg/OKnze87A+fbhGPmHExyPsI57TL4/fo/TONuKTi3gOA/aKkMno5RA25ELjus503KSbNq4yvX3l+pog13lPvpVH6eQqfcDx3/Ug94fx9NawGxA5kBpO73KALaMKXuomB19OZG5aZA9kvsEx6W9Bjd30M0TLFdLKC7J8cG/PQdXfOUHSPIYiZsI24Ze2HlS4LRfPxUPePoDBdDa4+yByxBIAhM5GeiRHBotQ5aSJg2MotRJU4KvX1sdBwVDOIMEceuhP+rjn170j7jkE5dgS70VQRVL6Jayo4k88F6zc20Ti8kKDuUQQt/trJ2g6REMm+Dpr3gGsA0aAucAF/zHV3DeuV9E8cMM0TDCsrtVitiJMIJ5P8hqUsaectIUNKubCp0wESCZwDgl7mwo5U6GdCHFXZ5wV5z6+3cSlm6a5Bj7E/EQjEIGjFKmr8xOAqoCO0mBo+C4YELSsVNvTv0wpaQB6Kz3q5DMbY/ejHku9gwG80lBKVvx8pKQCxMSJR1Y60vAV57DcG3PpxzR67gjLJHsqgpve8XbUFyRYzkfwNtokUh6KRn06gMmbK3WESmUQmOFpEs7nQB7670YdtfwyLMegZvd/2ZY76wLu4TrDe8vQXUy49nJ5eamSI+VEF735VXGseOhs9bFznP34P0veT+W0g46tYLjNZsFDG2k/cMBmOM8YJRBg/VoDSfc+xg89GUPxzBawaSXI6Nthx9LeAgDtug/THCcz88yx2XlOAiJqHAkpQhwUXJ8yK1gY6tGyCA43pKA4Znk7CfoFl10N0J86m2fxAUfvgDhaoClciDPYlJncAMfQZigSCsBv2OXIZE1/MjFuByhplrBZRo1mf8MnGzQ82JM6g3k4RiT7gj9W/Vx70efjuN++SRkHbKCKtJQlWXKtYOe2k2FtCkE1Ga42ryU9ro8RYLjPmhnUaAKJwgdD/44wHK5DV99xwX49Ds+jS3jRUR1KEGQCDzxJi/pne4w2dH4+2rMqMzazKNXLAsttfngM54sjdHcocTT3/A07I6vRoYci8E2YdOQGaBj0ewHxhJBS/vZ/9u5OTus6DxQeyoWYqqqIICi4HiFiEzDjQ4+/7bP4Ov/eBG64x4iPxCmq7ALRdWkyxoZPiXZZa4PJ2mwt74KJ/zysfjNP3uE+OK6QajOAqYV4zI4pqYPvlGk2PVDTio/uqywe5buiRLkIAWQHJbMKYm1ZcOgSDLcMxe0cD/3b/4dl376YsRZB2gSBAHB48zch448AwGIBB5nVkOFrMkR9WOM8iGKboFT7vULuP8zHoh6S4n1dl3ux0xNNc9Rnj2RKed4GoYzNUuT36XNwn2ZD6r2MA2VPJd5gYJBPBGcIe2eHLzphW+Ee0WAaESfvQoLSR8bKe3KOkhZT3uB7CtktDgmSFUgbi8UH+INb4i15b14wRuep2GBbBYl3KLYqaSfOqt9HYMiGyWLxjL99mNk2+c6zU+149HatBgg3XRn0Fa1ZD8QyKf9thCqx0Bx2Rjn/9d5uOiL/4tyjQHXHbQ56Tf09I5M4Cgbsha2UKWAjEUzhhoD6KvnrG5E+wPkfHsSgNuyaT0Dx/U6ZnC/bSTN/51tJkr9ZvYkecay/lnPXQMO8RDuEYjVNYiqLR6IqDjg88nzGn4Yoeb6xN5BDIydsXhUL99yCXd68C/JmFtv16Qp5nZaTIoRFhYHGI3Goqy5ERw3QN6cbH//OnfatFIoxADSuvb3Nwb47j9eio+94Vx00wSdpiP7bpWViNhBFVIJRwABEqNklP2Yz98VJeSedgfKxRwPedpDcLO7/QLQAdJxhaRDyTXHhqoexQNafqttTh8sOK55IJnHADA2HR04QQ3PT9HSjsfnSsYgaR9O5SFqEiwPB/jcK/8HX/+XryJME8n+4B4swKcJcBQGqChwGuRUV/mu7KXjcILb/PptcPqf3BeryW5pzt/oOX5dqoYbzvdS0UawgEpN+SR7vNSwzqk1hum7aYbPrIY3pHBUbObTSzdsxKau9kuxW5Hzh9RWdr4ZcFxAUl1jzb9slpuh8nnxAfalzmWIeFAGYqviHZA5fk1wvFisUATMsTJhpBbENdc6s8eyVeLUZOqG8yAP4p1cc52cf152V58VlfPqHNnSqe4V0HjfN2FVcHY/nUrJ5u6vPHgLdBj7HbF8EIWvsUghsNUQEC9FZSV7udTxLopJji5VmDzaOA4CP5QwbLFNYROde69vbMd8R86/XMu8yBMyTpbloqjR+k3BcWGQmzGqjaCZVYxtxk6B/oO47zf+6A3jDiheooelH0URszYoFiTX+tGHV0RC4nBy1uRUGSgOwzEkxArPE+yBRyySHNuwQhMxpyETwJoNHD2T29+uWUNimWL2Ywl7dzUHxM9DeBOC4wmCmn7bs/uor6O+47TibONaAthpHVqJLTGb9Go78jMDjpundu3McZ77VeEuOWcCjgNBysWh+W5y0uDxWMIXHXrwHuKPwwmOD5rdzaOzKyevQOv0qm6Lhg/bncgA8B21VZkeRg7xhf00Xk4fmm4sOvkUGJ99tWCCRcK1UrEbD7ukyrA1/y7Ix2yK24ezz6Q3XnL6OvTptH67s6JFfsncgVL/uO/qIRsjuzHcmAIfIybjehVcWt6U2pkhA7ZTD9DubfDJ952Lr33qAmDYoMxrLB5zNO5xxr1wm/veCu22VhgpQ2eIoOchTceIyeryIrTiq0tcgMxfbSZIsAwLOLmGGTPsp/HM5n8HWYC+F6EeVVhCD+V3M7zuia/D4nBJpC+J3xFPUTIS/YrgOBlDPMyrNxUXPAnbyjOtHdxWwLPcr3HHe90Zd37QqfjyZ76G87/8ZUx2ryEsXHRo0UKrhapGL+ijrCq5HwR2pGNpIv5EUcEigotzxUW4QafbwXqxLoD77nwXHvqch+AWD78V6oUMG02KOmzRsh9RF2gp9Q5C8d3k0+d9VxBHJT4qQ5vJWbShw/GrRz8BqcxAknJSQDSy+zz5ZC1KtlKQ02Pc0ZxQguPGD9zjV4Ly7CXIvTFjUgLPFOjk/XLYrqVdQNPI/cYq8Pqz3oDi2xmWs0Xx5eW9UadXBbb54Ys3Hjn87OLSq9PHqBqjSjJ4Jzh43KsfD9wUmPTHIksiiE/wkIuwgEUuQXNSYfeV7V+XMcj5EyJAd62Pb77/2/jEmz+OhXGCpO6gpY9Zo8GSwtJ3aNirTH1rzcD3wbGylqzgro//Zdz5cXfFWnc3xjG9+AJhvHGeaBCsHs41tMLGwiootNnTCZ/51PucHpS8jw4tr2oklVqfiJ1NQ9ZaH9uaAb7y9gvw6b/7FDobHQzaHqp8gsgJJUyEhUQtYK0vntr0UPYZelaNhY1Ehh5D/9hE6bsLAkatVnvgb3Wx6q/gl864E371qfcEOi3W/CHaroNhNkIUhXLOp4KCQBzVFMLY5Xhg4NQmPwgqu20s471xOIdpC+NiUCzCvyzCKx//Cmzbs4QlNgkZ2slWDINSydsn+M/1rSBMwv/RZqVCyvftNAhLNnU8tEGLnZ2rcdsn3Qr3e/Z9cWV1FbwkhJdGCPwIuTcWEHcG/szAlrl0CHOFtu2pf2QBJodLYeCr7N+jRLDRBiUlaNFahMlFY5z9vLOxXGzRgkwONVS4UsGl8Ycyv11XmjJuxKk8xHq0gue+7Y+AY3nT2VBS5nRT8co4dwRWn9lV7EM8UoDS4ZjSXU+LzelonTF0JThSGkD6yf9J9oHroChr9Lwu3CEwumgNZ//FOxBtxIiKPkKEqFsGn/JcFAvwxdJW4fEMlcsi08GkyNCJu8idCdb9FTz2xY/Ftntsx6Sfik3JzNJK39+sKLJ7pvXjtActy87i/qtZMJJaL6wtbSfq+qkwPZsFXDt5UQzV6zqJ+Hd/+9xv4d9e/REcg21wxmMkfoisqsGRGMSLqPk8iXOT5S/0rEo8hEWdgUiCA3eGO/CYP/p9HHXadjT9Fu6CgybLBCCR8ecbL3T6KXLlEDSY71DXoX1OFNYWZu45cn8ie4sMekqYyeryOQmlDtFvbNJCQW92NKwUfg1Y//46Lvj8V3H5xVdg9+W7RULfZQBs3gJlI8oFNtGMy5wwzmxfxaVHu+uiKBTElLEh93HW5Nfmjk0suab+UJn/+8Li84Q6rr8SZCkdwinX0jDR1CuVjTM2+cgIpzyccyV0qc5wUTCgM2wwcVOkUYlxJ0d0Yhe3P/1UnHqf26N3fAdtXGJcqgWdH7rIcg30ZR5DXhTKbN7k+nWk/5gFK1TRpSvDrAmy79XZw60C46ZtyCY5AiysDvDep78Ho6+PUQ4bdEMyEhi45SBh1gpjKmXvNMozQQYpx+dcDTDxJ1hb2oXbPvDWuP/THizAeLaRIw4jbfrwx6is5KFVVD5s5FExw/3j4MFxLv65V4s6juA48xb8IBdwnHYr3HccT9fdEDEWNvr4/jnfwUf+9sPoZwuIi84BmOMKjk9BTt9F5haST7PtTlvxqDc8EuvxXgka4xy48ePIuwOsPwPaDErIHHNhPPiFgs1Uc+7TdDMckOlaI/U86+nKgD7MA6tQB/pnWg5JnWxWJ5v9cA3NzUEsXhYcF9UDbVUYzFn6CCqqdal4Nc/ENmYFPDKBe+zH0nN8oRIASRrRBtKy1kyWJa8r+/xpevM18w1tlOwPau+zPk6rRvOQ5p7nDGizu+uBAUZbEZnl2RgfzBBJJQUobqE+9bM7LSVLUyMMWJO2aOtGcm5YT0RRhHpSo+8OdI2VV3aRpRkmaSqh1N3FHvI8R15n0vhnE7NoGSDMAtRBLTWjKpN5llMFqTGVNu0bPfca4oJR9eu5R0eynIlvaA/1xvfzE92BefByX4zsmidi7bub0WxsVpQcGkjegZ/5qrwhYG7BcVl3qDwz2X7kIBEYjwpROdOCSlX3ikvonNKMBgLkWqmqkaiC4z6CguB4gIi4RmXGrpk7Co4zr6qStZjgeBkwd0TVPHbO2lyAWajtT3S7bnDfpKuy7jD7k4usrQrvm8xqHlkbHxEVqZkLbyyHviuTY6Ln4ujwI47j6EHwEH4cPnB81G7PV/IXVyvlUxzyLjot6qhCxmugxMAJjSRhv8PLIby4w/9S815mWtxLb94ctOaLf+luyk6mB1IrV1NAUQOppts3/3tutluJt2whlqkuiz5Tu034mAHL5zvDtkNqj8P2Hdr7QtZhxCIqcLHuF8icEr7bgscJn2m+jY+qJFslloCjqEqw8f2rkYR9BMd1xQbVP4pA7W7xZqTtAYP2yADsu5Gwx33XF3Y4wXEJVZRAQk98o0Xi4lI5cP1sTwLSO5S5+BikCT71zv/Cee+6AEvpsjIyBE4gSMigGAW7JCmdzFA50TeyWfsRfdUaJJ0OJnmGYTbBwpZlrA/XJUytLSthpfIV24qHefU1FQkZrTfmijedDTqOOFyCMMakzMRzauxMUPUrrDorePhTH45bn3EKJv01DKORWI6QUdvpUqrdoJikWOwPUGaGISULLxehmS/9zA5APZ5YMKjv9IyNK8WFhEdaRgBZARrQRn/iIOOzJMChG8hUViTgONAUZj4Y31pi0dbnklY+aTuCE7WI+omEeIZpBGcH8KbnvhHO5cBgvICoJoBp/c7VhkHBJz2ZekGAYU6gwYUfttiJq3HKQ2+DB//xg7DWWRVWskiYWrIoAx1tLkEKoU3vA4ddlzWD4H/YhMJc+8zrP4cLPng+BuMEcUnLKOP9aFgNBwLHyYSnYoPv8WEvPgMn3ut4rA82MApT+HGEksz/llYZ1sNYgRzTHpjbWq7Lu559Lw9XtjHHZUDHA33kG0RNKSB5VpXoR1sQpIu46nM78Y8vfA+2DbcgGAeICU0ElClWwpwsmxZFU4P/0ol7SDMNq+QcoR+yBNmxCcLQvpzhvxuYLI4Q3zTBY17wOHRv3cMq1tEs0BMwR97k6HYZWEh7DAeBpzY7VZmJ1YSE8xCjnfphXrf7IHYklSfFe1Opdzhfys9Cker/9+v/B+e/48s4utyOjtNF2jBcrxYme50XosoQv1eZ2WSOV8iCkVxnRN95Amhujl3dnXjO+5+B/KYZskEBvxOhGum4q/1CDqj7HD7s/mHH5jTwyoJCep3SiGIYV6P7h8tGa8mmCsOCa8kyiNMQzrqLtzzujeisdpCUsQYMmmR3Kh+k8mgdRFGCtXwkrOt+4mNXtQu/8YKH4KT73hxtTFkh37GPhnsD7TvmApOm5ai18DbrzNSexDTjtEbVOawguAYdshEjrkkm00DcJvj3ZOhWDuKCMlwPn3jNR3H+hy/E1vpoJE2EhoGo/BmCBKBfKWMQ+TclSrdCyYYhn0NWYmlhEXuKnaiPq/Css89Etb3COEhReMZHeu7waPdaa5VmvZHtPm7tr7QrqIw8tTmytisqQaakUnyp6bXJodOEiHgj0wbBKMQH/+yf8MPPfx/HxgtIN8aIvC7gxchp0yP7pDLqmbdJW4+KLPKWIJmP0isw7g1xy/vcCnd/6j1RdxrkzggJJcsp31WI2qNahm+NjRDN+1DJKAtzE7Q5P232d/iQMEJ6j5O9yg2Ji0QrqiQByaee7VzYCXqLHEyHA28rl8ExMPphhm9+5Rv49gUXYc8VOyUIq+N1ELHBljUSwivekMZqjveRgDTvu5iNyVdtZIqc2lhklTDruLkGSwIwM8UA+DMrjvlLrV3KVgtjg8R92IQ2zUnTuX9nso4BYRzJ/afMm+M6HARYKXcjPibBre9+O/ziA++Ezm1iTIIWG+66Mn+qVJ5HW1TiJ8+cBbETrBv4USANqmvC+tdtHTtSv3v6jJQmMWudHYAFNgXH5zzKeQAl07RzVQdveNjfore3D8fluYKvVsn+1C0jGTMZGVnShDP+o0ZRSUilWCwwPG4vnvumP0C9LUPOQEx6g5YRfIJ2HNI+cwy4VnPyuPDqSDwwJe920wChBa0azVWhBFu8kyr43BckkLoRwoWAQRwzXoD+Rhfp54d4+wveisXxMjp5Vw75Oie0OrDMca5AbEpS1ZU6qix0T3bwzPc8A8MeayNlpd34ceTdAVEuCqOOjVeqxhjMSYDcQ1B4GtomzC09dqp1oiFyyTAhqMOsKfW5JTBOAhut3gjQ2DywKQA7rZVnsMHBWFLIGt/QCkaZ4wKOF76oPK2yWDvsllwzA8f57gu/RGnAcbH7sJ/TlWT6gz9X4LjULvutSWpJZsgJc/84JebZU+ecWksLG61TbR2kzFUzkHg+tnkmFvsQvo7xWTHRMRyfbVkLmSTxEyEEpqMJdl25Gzu+fzUu+uo3ceGFX8WeXXuECCZYCJvwoYeTb3EyTjz5RNz+jrfDybc+Gd2ljpBJpLfvUVFsxrCcy5VApCC5np95npEAWvM+6SlNslEoTHc2x40DzJE3/X/u37FdhfbfgmWU71dDyPdMLYbtkqK1OkHqkPs91x4C1iyY7RwxAbUSSM/xFNYCjpdRqlYr/DvZty1JVWsMAcfNYkvrUIK8tKwMC2ZEBAjSWBqBsmfvA44TJyvFmlgY6mGJ0qetipJ4ZjZXptt5hNuq2DXpwOC4JVFqICdqDzESURJ7E9EIr7uLzl+FS923OIvO6qGeEIcPHF9vbzHaNX6bk+KevAF10sgDpx0EUVECjvRsVKx409Xlob4f1+n1ZNswlYOVms3LkeyGws1BQt0IXjAYwrDFCW40UnzPTqTq3zW7H/P+41r1zh5ZQx9vdvqZLm7v4/xXG7gxl+Q7fwghOJ7UvmAj44iWN2RE1/DE+kSfSum54n3qTlokTYi49MVjMydLNGiR1mtIFiIM8wm8MBB2ZzeIENKHUzY6yjaZ+ivZi8KcFTuDmkze6xcc5zNhCEy/6iEaJnjl4/8SyQ8G6E4WxCu9yjN4XiksZb8h2BUgp9WJ6AX0PtFagIsm61Ayl/vJQLzBA9dDTck1bTV4yHdcpFUGzw0QhAHSLEXiRfBr9cMU72yR7XIV144mj+sZ1ON9I9jASriCtd46HvaMh+IOp5+GeqnEmr8HTo/2MA2CIMJ4fYw4iNGLOhgNNxAG9EK2oPisEBC/d4dsYS2SFRhX1rBYdZgxY21X1LaBQByZKc7UXzxkEV5pkSRXIiAGC3PN1CNxUv3KW2nCMHyqdBr5pJyTwX5e15GCPM8KbEu2AbuAla+s4P0vfz/CHSF6WU9Yhxo/qU0JPQSqvJ2+dl4YCxjbCWKsu+vYu2UFT3zVE9D7pQSjzpph/HPHpOcoT8ns+vI1Nr8EsrCPmwi9tQE+/LKP4HvnfheLkw7iKhbZNcEtLSuVOa5tjxlzXMHxEmuDNTzhtY9B79QOxvSM93QusVDk2JOCTpYEuwnz0lVGfTCrpwJJynSdt9nRw7UyTZMgQLvqoLe+Da995hvRuaSL3noXiROhrHLk7gR5k4qXa+wm4sfNx101FKMxiFQVFWR7b2RrcNgYjR2sZ2sIjgtw3L2Pw689+UHwtsYY+incBQ+r6ZoE2nHI5GOyxX34vkHp2gq0PvacWlmlLm2NNufZK4VJ3YKhxE1ZwQs95CxMcmCp2oL4ihjvesa7UHyrwHK7LOOaXsJhlwGiG0bxkcCj776A4yUKfyJrHptrvKvs+lfHlHj8+56EZkuKte4QqZfDd2I5ANQG3JsdzDG2TgAAIABJREFUPiyAowCgKA+kkFeKiwUPpf6jbVHJOcnnWMshWcJlWk9AZ1ZuUe0DKfCfLzkXP/jsD9Ave/J8CjYluQ/Tj5f7E6H+IMQEmXgsD4IYqT/B4A7L+M0/fgjqQYkq4Z2OiLOKumjW05vZhFlWurIgOPVnKhG1dDJKK3O+4t7AlcPjWKHtljmsVAaoDmllM8kQIUTiDjC8cAPv+LOzEe2I0S147+k7XEv+L/dRguMa1auwENfPOO4iyANp4ORk+S6OMbjzAh710t9D1ksxYUi4WVMsM03gbgPWzhrb+/p56rXavZqFtv005TqvV3oPPLRpuAaZrunGBEvdRQTjENW3Srz62X+FwSTBVm8L8lXOu1ADalwNnmpo2WE8bcTUget0w9yLAmmc42b3vAXu/6cPRBHVWM93YWkwgDNmnRGg8gLFqgmOtyUCE8zWgPNUbdVkBbyWZZBsaZFDczjR/7ultQhDtByE3RjFMEMYxWrhwmuMHCBrtbHXC5GtFYhjzR0RsJw43HqDH3zrYlz8te/ikgt/iHrUyPeLTRCZYEaFJMAJG09GRsrDheQEiHSbeR0VMioRxZbIPBuTw2KfmSp3dLDNvurbYd1UeAqu8zBDZo/N/jAbsXzPuJmgDhs4fRcjjDBuJ1jcvoDtJx+Fe/3m3XDUbY+TfJFJOkIaFUCPWQIN3IAKqxZVpjkhURCgyDNUTYko9iVgjM2FI7P6vU6l8rV+s1XHGNhm7lBr78qsIagNRPMc2aarA4RpiKv+60p87KyPYGFjEX4vwSSfwOV4L4FB05P9PnU02JvAjgLtjhxqy7DBle3leMxfPQrH3W072mMabBQjJE0f7iSAN9H1hMA45IDKcEPaV0RqSbD58mEOVVfmGQkOHMkyVw04XsYkllCmR7/+QpSE3UmC/qUJXvG4l2NhdQndrC/34kDgOC+2lqAIV+r7SZhhfWkNf3jO8zDZPkYekpl2yBXJh2Zw3PgqP/IOmNJKrQtbtd0hOE41Z0RFJ+0OTVC47EOmTNJeqfFTc7mOkq3IsLkaFW0DyCAnQE7bAMOInDKI9wPID8a7W5TLYkGg1oxtSt/0eXB8bnJJX3RfcFxqqwVaD6gKVPZuglTWVmOf9zo/UWdA8ZE+xK7JHD/wFSlpTs969sM2CqVascQEPm/zvbNnrgXCrPGvTeQZ71Nf19ZLlurJUFWe83tBTwDI0e4xvnnBt3DeZ8/Dt7/xHVxx2Q9Fucpfx2wmNsObqkXJRrnriMd4WmRCrMmRI+z6uP2dbo/TH3hf3O4Ot0N3uY+0TWX9qtjgkfWZ53HN0xLcicC4BL6r6kwaSszK4rmb5xRj1Xmkj4Ofx/c/D47vO7L361cfqNlufkAM0mgPW8bSmGPugVOak5d4qahvvWBVBMKpqglKVHGhShuSPqdjT0k/U3CcO7Ior8V/U+rLkBkRWQB/QjsstXSU6WZIr2xWCjhO4D2qhVBc+oU0K23j254zbKfzSK0f9fnpu78GOC5ZcWoHySaYKNIbEnVpg+PCT3meagp0qg8ky4t/6GxzrjrUc+CgSrtrezNt24bYi1M3dg7f7dbOreQCk1a6LoXLIpMLqStMCPWVPDI/ePMIKNpHrMxc+8hNWjJ7+2QH15S8G6Ywv4qbBA9P/lT+Np3s13JD7EZo/5me1Jw4BMllUiohWe4vgQ+Ri8vXOTmaAcz5ngmqhJWGxhWRMshFu0nAV3yWWpQhgS52fQM0kxIDr4OqbKkKhxcHaJEhK1IwjZIgsIDBZYNmkmHQ7aKsSwOOa4K0RBgatgD/JJ7zU/3cT3ccsDDrIBHbmF66gLPOeAFOyG6BfrYoYU7EBNCMhZ0Rth06iyOzEho2ESh357+6DtK2gBs6yPIUoU8P7grdQO9V4CcYVwU8P0JJIKeu0Es6yNIxEqHW1SicXKUzYmnC5gEBBRdhJ8HObCcmi2MB2R74tF/DKfc+BdWAnrlrqMn0oNFDSTg2RCfsCpgUeGSQEpQ1MkQBm6QsVkBULGJYMAt0LtcitirToE59XgJ6Gz9jFrEh2VIFJZxMe3ZFAsnnOf1eA1Tq+Db1mEjt1X+39tV6hoEoBMTJSEXcYFSNkCQxsmGGo4KjEI0iXPbRy3DOy8/BwmQBnaxjQjh1tgl7QJhguo5od0gMcJB7BVY6Kzjp9BPxW//3DKz39yILJzIOvSYSkN+C6wfTmBNmbp2gu9LDOS/6f7jy01eI5zj/Tj1J1XKCR94Dg+Pq9b+2uIanvv2JiG4TIu1mGDupOsJrLqHaH3FzkOu23mNcN0x+waanjUoOJXiVdhrq/qseX3KvHMSlh96oh4++9uO46EMXo797EVvdbSibHAQuR9W6MPbpy092LMcgG3hFQ1l6iKYsUbUFYiog6hGaToXVdgXYAtz3MffB7R/5S1j39qKO2SBpBZjoDnoS7skh0416wvqV9YrMca5PTSWNKWlKmcClzdwCKe8bsvGokKnhhh4yh4zwEMEwxnK+gK+9/lv48nu/jHgUoYMYEwwRUt5ZjuH7IWqmZxsAT4J6vUJCRqdp5X6LtXgNpz3yVNzlaXfHqLuGerHFRjoW0NEW8dNGqmEea0EmEX+i0pCCiIwGe6gVsNwR2yIZH5zDBLmlqebrQViaUy28zMEP/u0SnPv2j6HHdHY2+XigoCqmaRHSNqINUfLeRgqCElhqwxa7ot147rueh3pbjbxLFU2IkGNGAtuNkoGMBhtgKYCxsfwiMENAVWyM9O+54dNqxeCVJlSTmQ1cq8hi40FGyRuSvVCm6He7GK2P0MeSBNn866v+HZd9/PvorEdIaItDxYK8IZL6fdDSSZp/fC/CdOZhSO2ZMmQYR0OsLq3gt896GE66/00xikeyHlS0WOH8YmdvyhxR+E6b4Aaom2rEzL4q/67PSxibhq1nwXPugT6lxbLGkunnoKkadOsO4nEH3/vkd/Dev3wPBsM+jvGPhZd5KPhgwUMhve5daTLw13sMb+ZKTgWFV2CSZDj1jDvizk+6O8bcI/wJAmZYjH2EThc57X7krRfw2gqRAcdrhNKS0HVlVqTqZc/KQvpsc17QPohAOVVS8s/c4/lIQxclMwkEyHdQlQwOdeAy4LWq9CvXZ2kC246INm6kE8K9YSewcuVu7NqxC1dfcTV2XH419uzYi2yYqwekACj6SWmlZlmIGZLsA2oTZsFxw9w3waka2mX8T/ejEwko5GgmhYLrJgzdeEjyQEIARuT7UYnk6C5uftrNcdrdTsOxtzwaWCB5IBU1pMsQVNqm1LnsqQyTLYoSURQjT3N04liIA/wlIdeZfIyAihWT5bGZ9etn42fsWLOsRntVBwLHzUHSdOXCMsRCMcDH/uZjuOwfLhXFH8kLWZ2h2/FRT0r02r7UPSntI0Txp3OZf5cHJUadEbbf8Sj87isfjnIhwy5nJ9zYg59F6KKPdoN1sifAuPr2a65KUNISiBPyIJ/CzFNI9nxqiNhAdlxljleJg4J1Er3DqcoMHXTSGIO1BbzyES9D96o++ulAMi5kJhuLFPUkbcXWLKtYrbtoaTHlp9gR78BZ5zwPzYk10piBXzeC4wf5FK+XH7c2ZNz9WXmJkoHAQe4hyX0EZCRJOCdJKWbJtUfEOXCcb56qX2GPC2NRmeQi7ydALmcIvUS7ltr18mBO76pc5FlHgXwyx12C+1WgNkGaqqgfU3DcAtutzIt6YM7ABMfFIovv136PZThrFT7b145ktfp+Q+0nxE9smPX8T0vv3jTHVbGn+Qc2jHVaBpiGpILpts7RJuXUlNIwykVVXDlik0M1wCXf/D6+9qWv44uf+hJ2Xb4HzZh1qi8McqrFJK+EIJiAX0oGIUhOgiBJD2ww59xTeTb2mXU2lmy029/hdrjHA+6B03/rdAlkzQPu1QQrS2OxwsJixh4Xy0hTI/gkKRD0FPBcSRw3fhx5d2B/cHz+CqYY2TRE+0APWVNgacUYNJEQjZyMY5dkSK5BgQDl0ggyP871kGujrJHSTKzNuNO1UubZfDaRgOMzz3EJUCY4noUKxhs2kAXH+fNyDmEORFShjrUGZfNS8DwDvs/W4YNBMK7fZ37t4LgSNXmCIxXV9WirS7KPJ0p9UUfRc7yRjIwv9I9ZfqKzxfnmob6aw7IstLvbPir82saujb9p0R7LAxQi9dLhAkaG7KwkPixv4VDfpwO+njDejL2DbMdiuGV8mQXMcGWjIDDOjYKf9IJTH2ExMhSm7fxhdHo39gfIzT/M/zW7TLTbkO6+bATaaeGneBO7NfyECc+mcDB/r9/DV9IUZx5bybwjcKEFC5sXulFaT1bx45XNVA+hEgoov4ObEX87wTplhfPwbwc3fxcZOuzQKjirNgDWc1ze28Fo8w7iScuBO3ex2CygvrTAS5/wcmzdezwWq60CuDR1Ds+lwJ3gYUeY45nXoCITUMBx1wRGiohfD9qKGun1CyuXDQQfhB7V/kEP4crzYc3Hf1Ogo2gyOcxQUUGQe5SN0MYNNoJ1uDcBfvf5v4PtdzkeI28FQ2cd6KisjOOOALV8GnBtxq6eedJrYaPPiV85AsS/jSGMUvjqgqQMDSvD5BhlU8cT9nZYUrJJhocWP7TH0eBBA6TbWtaQKnkftS7VMZjzkEqcKPIEfGMxQ4BDu/4EyCDFcTfrIJ4k+MTrPo4L/uUCLE+WMaj6koklDIOwQV7mcv90P6JdAO8p/a8bpNEYK/3deNpbnoT+HXrY4VyFNmkROwnqginryiQVtuom23PScS5CDNJFvOuZ78HGhWtYzDrwcjZMQpECqSnAtYPjmVdi72APzvrEH2LYW0eWUEalTRKyNIkj2gBbaQrYBso0gGuz717Xq7JtJZQQkxTdiGxwShY9pE2DqI6wMOlix2cvxz/80d9jebQV/WYLXKpHxAeVRW2FqqV9UgeeHyKl3ULgoywzAVEjWd/40BpMgglWkjW4N/HxiOc/EttP245hso4iUM9+beKp3zTXIwkvFraHeqNzXbHsT1lrVROxaV27vLqMAQeNSDTJPqkRFIH4c0dXR3jjk96J6KoY/ipHFq2Q2PVRBq20koSZZQJtjV+/LNWG+cx7k0cFhoMRHvvSx2HLPbZiNdqLMinVu5x7QMW1ppEGgjSaStpoBKiLxuT/qnTaMmiNL9AMrDV2SNILNc1W+vBLIcXPIYArgDc+52+QrHUx8BcwalJVcMk85ck5kO8nG1mbJeojP4o38KBnPhgnPOhEFEuNeLyTSem3lPkTTBZTbBP0q80aZYdr0KawZ81ztdJeq66y7HIBcVq115JnP5W6NggYVkeVTaeLZuxiUG5D+4MWr37iK7C8sYj+ZAEtG4NJK02YMuNYVJsbWSd4j2m1QNk2Gw2Bh/V6FcN4FeUJJc48+7moCPxz7e14KJ1cilPxtJf18MAeD7rf2z1N56gC4yaIRywODPPBsJh0WFgwWm3L6J+3mC/io6//GL75oW9iac8AC9VA9xD4GLsZUqeAH9PzupIMCbZU2CiauBPsDfbiGX/9HLS38eEdz8DYEZqswCKW0BY+sto3qp4CXlMhrKgO47znviRu8+omJCwFnV+WWatWJnP1iXU/s8GsDjREUGxxqECgJZcNVZ3bmK30ehoCOlfzZcbaSuqhuSlNPC8Fdl+6C2u713DlZVdhxw93YHX3GrJxhrqoRbHUc3uyD03PQMaujOOU+yiVRaK+kyYv/06d7/lWqNwQ9QmncEh1WyHNryauMDh+gOUTl3DL026ObScdhaNvdizipY6whErCmLS48Uvk/lCY61r3aP1jm5bqRWlyIgyj0d5Nqzg8GFuvgyh9brA/OmNC7g+Om3lj5g//FBcx+sMe3n3W3yP/dInFbAmTJhOrPqdlW4hBt2xUewKac02KzNgtHAejeIzdvZ14wRufh+4pVG2NsOKswIs9NJMWfW8gGQEcX5x70uChlUsdyB4h6/Bc5MLmb6rWIOpfqi6crku2GNU6DspAQ63zNpMmYLfqYLCygHec+RZkF+YYTBam4Lg9W0kdaHRlVJ/wtRkEXXZqXB3twBNe/xgs33EJk5i2UtpYvPHjyLoDotUUdRZ3TioclHUdEmCeONIU91sbDK59SMGZRdBkqJBmmnGdsl63JLHxkwGdPNcI6GPFebrx6dnGZD5s9q7ZPVMUO8wEyhwFPsRWhaxKU97pQcmMZl6rNuNpN1AkhYbXeXrOJFWIpK7px7wl3Qzhn7KjN1n6b/aSD8/P/QiAnPsd7xXXAH7ln/kp44B1HNczLxCCGwXOtPqisqmWeqyVWr6uaiEgsZ7y3UDUlhwDIQlzWSmqKN8JBBBP13Jc8o1L8JmPfxbnf+4CpGuZPEs2P+z5VAFBfZ5spMueSCKIxQ9mkLvmChFDoHWjfDJjSkkZpZfj7g++G57ygqei6jhoe67YMWbVGCFVyiR7WI6I5Clp3SH4hOKMpoY7PI/lxlc9vHfgR4Hj9rnbrwdSWMj5z9gZK9tbbVW8woDXGUFz4iWGUyhnU0OeIcObLPKYayUDOqm00Qa82ESSfEgLXZl7rD8bcY0g6ZG+40EWwKE9CPELkXYaqFgIQiYYOSjRJhznyhxXnM/AKXNuE0cyufiazHHlJVn80DZmSYIjZkVsiOx7L3XErrhxq+/2j11+Mrbic47DaN9D93FYkOl22G7DGp4+3Dt8fuO1PYf7c0iAVOUv2gGZO2HNMZUO3aUd/leadu6Nf6EESllptQDjhi1eewqOS4dcfdZUx2Q6UrNOwb5vet/zwezf5oByPYAbcwWZYzNgXMKDRHFHtIOfPLtrN0ZjAholFggAMGO+zQYFQXQ9VOjz0mc2ZZfJ7yI4zoMnEU96KBF45Suq9YgA6AKii/BqmrTL7i0/FBA7/M/qQL+BmzFtCAZVD5OLh/irJ78KJ45vAXc1QOLFAoRVzUgAAr+JmVyKQgIRlWVNsIosTLkO2qKA94JgMxlGWn7A8UW+rnYaLCrVRkXYf2xKqOkGYU+43NCdRgJI8jZHvCXEarsX/jEuznzlmcD2RsCquqcMD3og0zvWMhYtMC4sAJFD8lOEuiY4iszGAI4s+MoA1H+fydBst12DSrjKqx6TIDiZKDH9DMlOYZArE+YNQ9oO5/kMHQFdBLxXPzgBFjj/Q0c+yeqUsSgHV44V/W9uVCHD29Iuot0xXvfs1yK6PES0FoJssdiLsV6vy1gj61VlSZWxuqNtCu2pCqx3V3H0fbbi4a94pARd0m4lcgK0pQPfSwQhYaDeZuFlslviIkIvHeAfnv0+rJ6/ioU0UR9oN0JjBvaBbVW0uUT22m4Bx1+I9cEacm60DClVR2ZpUik4ruEdGgKi/mUHyxznM2MJHPo+3JwAJQ9bLQoyOqIEzkaApeEC3vbst6C5KEd30hWlC+03siJD6BF80EDHomWDSI1qyIhkIKwYA7X01gX25LtQLlaIb9PHE17yZKRHlSj6OQovBZxKXkeaHJorKeFkZGDaxpkw6A2bWo92StlTIfrmMgu47IhZiwuM6hyu70qjIBoFWNxYxhffdx6+8PfnI15NEKb0O/PgeQqMy8LpMMlcC2yZLQTjjKmHBuryINLCiXysYwP1CQ2e845noTw+xzAaIm1SdIKuHArE01lUNS6KtJTuAL3Zac0kTTwB3+g/rQwb1RHo+jlt0mrCtTLF1Mhb6zpGlUyA95z1LpSXVPBTX8A92X74/qRJaxjBTqHFCf28aUvijXGTu98Ep7/ifhii1IYI1yoerDh/pTmqdlAWhLTMcVUt6UjWfco0oiwOahpwTstmogYpERgnIVOmDpt2bSVLUNE0CNFFMOmht9bBBe//Es5948dwdHYi+ugBQY5hsY7Y7yAOOxhPUgns5NoW+RHY8+EK7fqBMD8yZwOrgxXc7cx74g5n/CKcGKLeSZuxNO1oyU3Gt/hem0bmga5DWSL6aa08mKuhz8aU5obJNpWgTw+zZJC32IItiHeHOPsFf4fReas4uj5KZIN8LhO3EluPTjeG67VIh0P0+n2spSNs+EOEN/PxnDc+D+VJLfa4u9EGOYLWRZTFAgwKCM7309IerEZYkcVNdr6yltnk1cOpTiMrteaksNdkJdRygFD/NvmQ9cMwEnXs677IhtMUdLC+9FNv0n1P8tJc4S83yVgubzxfmGWuyNNIazR2LHyj/O8NYM/OPRjtGWHjihHSlRS7du3C3r17MRwOxfbFcg5kL2y5y2jNwwDMIA4Rd2JhdS8tbkGYRFjY1se2E7fgqJtuxfIJi3C3eUAfGKdrcLsuHKpFqLUgaCB1liNNwVaARYKmGoxLcFyYyVIzzfa0KftSDjVGvWXqgeun+rkB/tbp0Jg/7s2D4tq4sQSDpEjQW+3jrc9+M9oLmRuzKHkJjsf6K5eV2JF1zBM/bw7wmGobOv+4Dda6G1j4lS4e9xePQU7f8XCIPC60Xi5aRIjgl8yV8JQlzj4gyQGlguPyXq4FHLfWiNewRdz/ttta3gTlGuwRLvN7SCaK2ISp4YWtrE8M0IzKCAtri3j3H56NjS8OJZeFh27eKQ2M19pU9wi1O2CtQxVKEVfYlezEo179OzjmrkdjHE3Eu/nGjyPvDmhIsWbxqC6H4DhD31yEzALKCH4SfGGDlLWuXuOBwHFpVBPsIQhDcJwMcrIiCUb6BCcNoUpKrUMDjgvzmNlFrfH6zQno+9J80kwqk5a4DziuijJuWqyFSTKQ9yrgOO3VuCab87DZueU8OkdCm9Ui1/TmPvJGgXnH1wKQW0CcCjBJ6zAguaxP3KarBp0kkeaf5F/QBpUZJ6GvlmDMy/JDsVZlrULiButP1kVcE/vJAi7+2rfw6f/8NC788lex+4e7xSaN9hTIHcROZPZFq+ia47KY2pAuAnp2VbDQGgpOa1zZuU3jw6lRGwsdYdMmBcJtEV706v+L7bc6Hm2flo2rUqcnnVCyUXQY6bovw8CocW3z8Ih95j/nb/zHgeOm+tZS9FqsVWx2mfh5i31uAD8PEU5isWKk3ZMi0lQDWqUoz8murDlUFFb0BqdygeobTy0HpQZkM92E1IrqjGudEAwJ7rIZSJJRoDWjIYcoZ7YR4kVtwXFfmeNs/mkLfRZKbq/xSBwKVjUtaKEhwum1Wea4dbzgkYW1HIkJoQDkQebSZ47rwtW9oxZeCBf/7BztMKbzkH0cFliyTduTqiuq1+fj4tcKv/IcHja54XLzMrIdYWwaUHmq2Tpkl/XTeiH1UlZrUWVEi2clPYvIrBWWOOVuZJEbVpGRyFu2uMjN52xF7Hn6gFew/wTngVzkk2bymyLCssZFNiyddOqIHAHICY7r4Y5eSRXyIBeQTsEpLgTcmuzhbRZ8aJN0FYyxlhmslHi4ZWgjZdqEmjQOTSi+ZFhN08UtK01tHCTQUgAEjc+4Pj6kg1156NVddNZjvPiRL8JRO45Bb2Mgi5ZA3h6D+ljEhcr0N9dP3zIuggTLOQA00JJPVXt7AoGTuWg6gnok5hZNOJL3jCJaghYx4qiPPNdDNpkabbfGbuzEpDfCSXe+CX7/rMeg7ZRwGOztl2JBUqCAFxq5iQVnLPGOnXb6YElAiZQFwvhXSb8Bxg24yAaANDHE32nGhhRgXFh4LII8eASUCxdRweLbgVcIzRRwCappk8fUzdPuplYh2mARqRCL7KABby3Z4/AZtDCjI4q1gXhriakI4jLGcraMqz93Jc7+o7MxWO9jqVmSAyrZ4Qw3qwoL7Cs4TghNmLxtg0m8gZ0LV+HMtz4H7v/xkPYmqKpCCr0sbRBGiQHHNzcCFRyP0Uv7eO+Z52DlvD3oT2I5ULsMHLbopDDHC3NUVR9IzgZK+ijL2jXYiRee+0KsLa+iDCit5tzhRqgMVgXHtQlDiRXHIBkfCo4fhLCVnXBUEvLl1BGaokTMxyk2CAEWqq346rv/Fx993UdxbLZFbHT4/GgdQAYJwYOgopFNIKw0PhOX/mAVlQjqx0qmR5nkWE/WcfI9bo4z/uRhWPdHaI4iI65EnefC4hCQ3VwMr8+GnMyCTqz1gXrfa9dP7uJBMMe5JLoY5RNEy11ktCNKHRxTHYXsqylee+br0d1YRkygkcPVIzgoRoVwG/VX53yV4CqyFZtWbCA41yu3kDEcOhEKWmCw6bClwLZ7L+MhL/wtlMsZCnrX5crIoedymVdIoo6A4GRA878bWlbIvmJVIXPsWpN1YHBkDUIy0jsC93Io4N9lCpZ8/uzP4usf+roEQXIOsHjTQ6Nt3nHElgqWcr3jSu5VGC2M8dSzn4bqWKBk88bJ4XmeAOXSrOEaYpjqevo2JGAeuM3R3cp658erbewqOK7AubDGhTmuKhaHPtlhgHGRI/Z7cCcxlooFBFc7eMfz34by6y6SNGF7Bp1OjKKspbnTCftoSh72Cvgu1wvmY7B4JZudzdwMu6PdCO/WxzNf9Ww4CZA5KVKMxVeQ9gW0v9KG96xMss3n+eA7eT5zB3C+c/G4NJu5gs825HguGFnWKQ9dp4dwzUVnLcL7/vSduPILl2Nrsx1OGiIM+xJqnWZrjHvFUVu3YMf6TmSJg3pri/s96d64za/fFsPFCYbBEEU9QuQFiMsETkXVmAYS0n+Hey7zZFmIMzZX9immqwqLUMeCFOmypbEY1e/Vhv8sFHMqUbesPAO6zBeT01vGX22t2a3Iw05ZzqXYNHINOK+hnIZZZpFCKSVM52yeSCHe5KZymFrKGSC90gCmvMoQJD68fgBQ/KU9RslDKWn54/rCIGcDRhpJ0vNqUdS5NKnDTiiqpoKqhNZY2PnaeCJYwIBVYQkZdQTVfDo2tO2tDBg7z8T8SOokMj21bNt8c+/6qJkO2++8BjCuddRMuWHrRwuQA928g85KD6953KuRXLqA7qQHnyUJ6x4GR0jYlYLjrIU5B6lk4joz8Wvs7a/gjk+6He75lHtj2A4xoj3OwJNnz7GVMHpMAAAgAElEQVTMmon7rMirheDiweWBtvCEvURgbx+3BnNzLDAuIckM2Ly2j/m9W0LsZjPIoXyb4461Etcjj16nlFk30nynv/oHX3IOdnxiBxbGi/AaZnRwzdEJMQPHjeUVV3aHKqYSe3t7cMaLH4STT7+ZsOdvBMcP26g+zC9smOPCrtV1WoDm0hP2OMcpaFUiKkN7tlNAWNXBtmjXPVt97ynp13wwsiGFRS7KTm0v2jO7+JzLx+Z5i7LSs7adY467tIMRWxUlA0xjgabMcQ30Zr1Bsl0R52iiRs4WQr4RcFwb8TMFlFVsGThm2qj/GQLHr2WksVHMWi2gOlSKL+IuuvNIdeaUan1HpWgQyZ5PADx0GYCudSebg1S5tSVhhABN0eLb3/wOLvjChfjsJz6H8doEk+FYnhczVciQJR4SuYHUYEqSUvsUocgZpbi0KzWUyARus7ZXso0ap2kxqZWhAuSCJxiyBcdl1oyAngNsCfGi17wYx9/uJnB7DspmgrxMpWa3o9TWnvMs4utJtH6Y14Wfn5ffLEBuGdg8e3LQC+5AMpeQACPEk46EdNJZgGuUnvGM3ECaeiQYtciIn9HaliC5sMeV7CF1i4EVVJSpynZpXtYKjtNCSlQVDO804Lic2byWdiHCGHe6PPOrikzPwhar1yp886vv9T9GpuD4nD2qJerwrCIrlORIKIGUZyVh3ltwPJe0sVHQjd/hbw9e6gycvYfyqg45ON7SJ2SM22aXZu9Djdtm7H7EZOyon6cGIIj+W7sg1qPzUF7VT/G1eLDiJPAZPiGBaEzcdqRzKrYTMvBJr7KnN3n8hrUrGp+Z0b5933OpuvtcignjtBNCwd254tuyUDjYBASfyXql28q/81q4viMMKnomTcKRyIL5/m1Io3KbtZtLO4MpsUuYfQoGk/ktEmo53BHkDeTAJx0gqUq42Cg4a5kGwkazQIH8u3CujN3KT/GhmV8lonH6n9UxnD01PvnWj+Oyf75MPKR7Tl8P1/QQpvSLjGsZqwRyHIS0JXGACf+dPqIsCMRJQJ+zxhkSIFdgREXsnOLKLmfbQu6Vm6DmmOFhmRt5p8Ve7EG6dYx7P/qe+MUH3wFYbgVI3MiG8rvoyTxKx+LtzPFnmxXK+lZgURjaJrRSbRLUQke9qjzpxPGD8DqvSXEIWzxy4VUQko0d8cwvCYi7YqvCMc7Gj7D9PFMkzx30LCgkQBJDY01xzaK7DVo0/OTfS61mSiBjjcKCRwMuatk4uuMEg3QBn33Tp/DFc76AzrCLgbMoVi9UOguDwagUeD21YdITrMqDFGuDvTjlN07BA17wa1jrrKL2ciH9tg1tVVphY26aOV77AuD3Jn287w8+gD1f2oX+JEJURaIy0OaHQGUHAMeVOU6w+eqFnXjef5yJ9aM2QDI+5y3HjCgR2ImmOU+ljHhKSXlfdb7q+Nr0Binjg8Cmj6aJhEUSOjX6boxsT4mFYhte+/tvQmdHB511X8QneZRjUk4QeTHCluC4gqhswgX0JmYKAVnlfiihj0NvhFF3jPs/5QE49WGnYhiNUS7W2FusIowDBOIlbJkjhoGr3H9lXvNQJmuXse4wKpept/NBLBu8r7Q1IXiNkF1pH4NxB+HuGO95wdnY+7VV9KoFkYQK+C0LIZsHbAj0EbiRWCGR/arWCq02QyXsT9l4XPsZdhmGCXbWO7FrcQd+56yH41b3OQVlmHEVgOcxvLVFNqGPe4jQj5CnhQY4uvT0t2FIcy4ytrpTK2sutzoQqDqQqW3WVTYoskbm7MpFK3jni96JxWoJARs49NNzhe87lVyTqa0HBmXA8nCx292LOz357rjTY26HMm4kjIZ7SFalQCRmKLNj8lx6+hQQl2bpbJbNDic2yJPNO3377LeJ9+UUHNfA40oO8gGipos4C7FQdXHFJy/DP//lRxCtxgjFucdFK16SVNPo++fViUaKAhgyrwlwEnB3Wgx7I+w6aQ0ve8/LxMpIgnbCQkKeyB619YllaugaqfULx6XcJdPUsTJd2x61Hpf6JLjNa1NZeG8SusNrZNM8kOcQVQ4W6Yu+4uO9Lzsb3/vMD3BsfBKyPQ0WowF8BnA2qdh+ZEmNlajAXR56N9zv6fdAHtMreS+8RRdFlUrAbFgFmgNgmmhqi6b7tuZNqHZJ104r2VCwQPYIjjnrAyoVu6lb+JzM4Vq8v7k3SLNK7bOm3omGWW4HhhyQrfhs3gmJ44cb1PTgrlWBzB2GadWNhPGyXpEPUUfwd5m6R3vwM/EI34p0srS2YkAoG3RsVhVifVYKSYAqLYaKZLSZoXKGlUxRyRroO5Sa+/A9D5OJZgOw+8GwNyEbWKCochATcedeJMDSTAWlwDj3XVW8qN2KK/suPyWASOS382/+IBazI/lHDwiMywiYguMKkhubH7OACDi+p4uX/M5fYOvqcYiHCWIBCVnTUCfCkWSUE0Y9R39RgiyToMCewR48+M/vj1ve/xaY+AVS1nKx5mXIfJH9QZ+dK/6jCjgyNJB1kNRApoGzP0P8J2GO77N32+bUtLjXNabwaaXWwuEeE9Roe0CbthiMF/HhV30Il374UrFVURsKhitqoLrkLhj9mWwVDsHxGnlYYqW/F/c/6z649YNPuREcP5LnjTxXo8wyq7kozGpPCBokLiBVwEcILsaCUGfWbM20obKyt3EdE3WnguM8u6v3uJjOydzReTkbX5u9hQqEzMBxgkViq0LCBZnjGpYx14DSGkLAcSp3qKwICU7xTEFlOjPNWDPbWtGQuAx5SHdfbY7NGvObffc3jJ/7cQCOsFhNg78mWcAoVIT0RCYs1xQ2chtHgG8qZoKW4ecJylGFqI0kZ6ZaK3De57+Cj33oY7j4W99FmVZoC6Dv99HkigJSMcqRUeYkhpAg4ylz1li3SS1k7BD5vqWFbP3sjdJFM0KMzzNfzezzamNoGLymqFCiQilh2eMwh7s1wNn/+i64Cw52D3diYUtfwuWNBlp/ymCWtgY1/IUbxsO88V1s+g6YleKAP2+3VMu10HVAlxXWZ5aUpy5pAfwyRJTGiIoITqo1vmGMaGaSkAxpJQsJdK+TBnVMpjfZ44WsoVKryOJs1iyTVyLhwwTEM18a7WIRYvMVzJuS8wEt1YJK8CAN5LTguL7ejDSw6Vt2vf+g0T4bDEPPq3rWUvIsazDNQVBvA7odCPOe4HjBjIpWshud0PtUdFzyBGfRufRQXtSPW1uv8++SMM4h7jj53uQfPcc7IY0K6UJ7AbdWdlYUuBVQWBJJjcXIdf5N1/8PiEypZUCUI+CEXzliPUEQkXIMpjXLad+w82Q6iveVOWuK7yWHutpw2IJ6WrzMXeI8AGbDz6YhbfsTX81hg6UMQQxK4rSwYferFW8xAcfZnYpTkQbL2xCsnUWGDkYBFwyoL0NVJO8KdBAYJ1uaVgwC0hEcJ1PadMkIAGu/x7LQ1P5DPqQLxw1U0JxpIOlP+4lK/IcbohpXWPL6+NZ/XISPvOTfccxku/hdNxV97RTE5ThV6RcPHgTHA7lfKQNmyRwnUCv2KboVCzmOjRO5Vyw4jB+roGsCjWtwV+DBDXyxAfD7Aa6cXInlU7bgyS99EoKbBMC2FldtXIWolyAvCnQ7XYzHE2FTkpVEOZz6xupzEcCVi6uxNNCFxpEAErHiazkkybrQo5MvtgoK1Ch8oxY74tlLMF0UEAqMiyUQLVak4WOiWGz+3H4IrQKbjZEa1VK80q6AoSqtYbVzRHIwzooh9fRScF8Zsz2G1q0FiHZ38KonvxTdtT689QgBmZFkyhAMlzuuk8D6unM8M8V+kowx2jLCc992JortOdrlGivZKpa3HIXhaASX9hKbhJdZwAs4Purjfc//AHZ+YYd4jidNgkoYalZKOAeO075CedXKDfcJjl+NZ3z4aZgcl6IR6qJCm1L4uWScExyP5fkUPq10yADV17YNjc3MHQEA2KXmvSJLhF7NRYVelaA77OHij30HH3rNuYj3JNjqLYrgcVRvIOwEyFOGOfqIvARVXahtr0df5ELDnyJgd7uKyXKBR/zhI3HM3Y5HuaXE2B9hUo/RjdkUUgsd67XKCxdVCUFhab7pbOIGWRlPSZG/iWycBYg1KPoR7LwfcWPEvscNUUxKsdrZ5h8Fbw34wJ+eg51fuBqDoi/AOAE5AmxyTuN9J1sUtF0iqE0QhqCYMgYs+90qinh/8qqA74QYOSOMBkNkCxM88awnYMspR6EKS5RuhTAMhaXMYFCzSMoXe1iwhPDpUDWFFJtNMo2o5ODdClQpNGX7+h6qlD7Tntir/PVTXwt/t4dB2ROgh4ck3n9pVQrbykScTpnCHjb8MZpbeHjiyx8H5+QWRT9F2RTq/xhIDOn0Ls/vYTOw9MDtGwWHrBJJFxLNOlAGvMzphtUP9x762LdI/C7crEUnd9Ctl3D+P5yPT/79fyEeB6IAwsRFLxpglI7Q8Tvi+0dAU5jtEXVOhXiTk/w77A6xfvIYL/67P0eBTJ4F0+FzZLIOyfuXNV/XO1kxp+C4Nve18atrq+zh8u9cX/Ugbsc0m5Oyx0qorq7PUoo3tM4pkcQO2iwXxl+36OHf3vkxfPqDn8e29lj4Ixd9x0fRpCi7OdztIe73+DNw63vfEpMoRdOrsNGOpDD3Q4ZiuyhHBZKoi7IyDEHThpZfK3PO2MVY7EFRB8MQN6xxaS7MAEAzHY19lQF9We+IqsHg4wY4nyrj5kaztWwxLjMWorHfql/nfbn4s2z+VC1KCQlXj1LxUJbvZd1lAFPt+Wongg0hPnV6lPI5BrQ2krRWAXmo9ihbftbwO7EEktOjnAoDmW9cWoyqgt7uDBsVFUxboTHe+NL4cV1Z560FkLWeE8s1AuLS+KM9gIauzxQxCqSLGYKZZ5tZv38mfuZagXGtgu1hyc6zmT2CI7kknasS/MnD/wTHFTdFtBGjy12qNrWuDBEzIAywzrqGWQppMJGsj8e+7vfQvW0fTd9FFlCbwcafZmlIs1PqE9a3ysDl4Yw1vqjn6HVPKwjZ042t1HV4KNNzgDRR5/YOXfilCUN3AgG8OY7pA01wPAM6kx4+8qqP4JIPf28OHDdnK1EKWlsVY4VIdZJbiW3bSu9GcPw6PKYb9LcSPJRztG0oiqqXc0BZibRT82kDZBmKBhU0y73WGLLP6bopHs9sAvK8TrudhFkMJhCOzT8D9oi9lvk48O7+42+bBbQ4fzzaF9GOMFOry58EHKeFQRkQX2jQSGaEguNkXsqGJGcu3Xe1LpspLbUBf2Qzx38ceCNbpFg7GLtX0gY8zWJhuHZREcgrETAYnvV/5UrgXdzGyNYyXH7xFfjGly7CeZ85D9/7xiWioIkkvF397ZuiRkRiRz2zahUIm+cXXy1cyFy35DhrOSsh8wp9oXRILjGbvhmbszVfm3oCr08VxrOrVuDfwZjs8Y6DNMxw2n1+EWf++ZlItifYO94j9YPanFpywgwgP+Kptz9+iv3sf4cdDjba7ABXfCBwXKsLJa1w8SPmoEIwXTtpXRYWAVw2F0kGJOmGtZrYCspPylooeEVYo2GGVEhAmwQMnoe0LuV5yNo4cWqIlS8zFRjGmboS7M0/T8+NxlZU8xkNc9wvBCC3KuqfFXBcVSTa9BIO+I8Ex1n+s/4KZY3y6dde0OaOeFZzUefE/u9iCd9wrCzlEIz8H7e+Xudf0bZtFyt4QHrp5O2+6y9NOrkcOF12owUcp08pkQ9KnlkQHrnguCZtk/lFf3EG2jtiPUAGongECw3OTENjPWGwRwMAGPmFmahTtomZ6PM3f77rZdlZtvs/L/u24InI6W3lI+db699ju+pkr5VwEgI79GlUz7mCLAHaX1iPcHbvxU5EfYHUA5hDWYO3hDFHz1yQSa3yYrVSoTyfAKcNi6QnojJLhUns5cLpswfH6zzQDsEPyKZbO+iEHTR5jWh3gDc94Q2IL4/grrhY8pcJmQjIrX6/ygvkEdojOC4gSIGWqdq8R+ZZzxjYFio3wLixZJEAHQbKeP+fvfeAt/Qsq8XX13c758yZmQwlRQQBARFBsHDl2gAVUf6gSBXpyoXrlb9cYwEUEK8UsYANBQEBRaVYQAheQr9CJAnFgYQSSJ1MPWWXr3/3t9bzvnvvMwmQzAx3EsjOb36ZOWfvb3/lLc+znvWs1WDSTRCuhAJyt4Jt/MQTfwL3fOh3ohnUKEYlxlT6JfIehBgNhxhvjZEkqfThVJV3bdt8FnZvCeQZAG4a71bgILPSCHosfrQoSANm5bR2SZlAMq87z1Y6awEK8s4KPWSOzzVVJTBsIInXNbaivnu5AkBEkJsGnGzTtNbHjk7Pkk0hE4XdDdbPvqNDIezEoBYTalLhnMFtgWs6vP8178GH//b/YDjehbX2DC2UBGMNEvft1k6HUZqEDWbRDJvZBr73sd+N//rzP4hydYoj7VHEKZn6oZykTzS4p6xKVmRYmaziTef+A6750NVYm5FLOECpmNDYNQbeO1mVJXCcz4ussKtXr8ZT3/ZkVLfnRmFMfMp3kDlex7mxa2oaiwUoEw+OG5vYizWcyHTQWKY0YF2iCjr0ekMlJ72tDCvFCH/59Fdi9pkC8bEEe3q7Uc8IBNfIsgxlVaGi4U0opWwkbKkMqD1eIMpCHMIxbI628ZO//DB820/eFRujCbaiLTM9zHMMAyl4o24sKFExR/kW1wyTWRGg6HTbtZQqgDEDWSs/cQzSWPYEwXF+vmyxK11HNukjOAr8y0veiU++45O4NfYhLkyrWROf7fo844bySuy3sBCFaYLgYXaDOH8GC7r0bqRRKpNTSiBN6rF0jDfaDZT9HM984TOR3IVeBtB7qPPIF+8tWfXaK3xrHke56yiax4NcZzmPCRCyhZrzvmdAvWf98gzrukVCvZwC+McXvQOffvd/Yl+zBxnbBtk1oIIZDSi9mJKt7QbMJ5hEBY6NNvHApz8Qd3vknTHbNcY430RvJUPeMsHykheLUeiT5x1g+Y5BasU5z+Hwkl6+64QbqhJ+mjxGCSpqBfOOktXL+17X6Jcp0tka/vXP3oGPve1C9DcHWCPTvwjFwOfiVFc0tTU5LFopdmRjRLXklQ4nR3Dmg8/Gzz3viajDGWYB9XcLFfHILqY8C42mCHJ6JroPdL2RNNd6K0Bah5Cx76iZb7NeHDuyshRc8wbYGl2R3dZFyFhkaVtU9QT9QYYyL9DOAqyFe9EeDHDh2y/Ekc8eRDhrsL5nFXvveAbu/EN3RzVq0ay22GqOqSASpDSHrVUsTdlC7QwpzYxvCYeeL3YONNQpSchkh56zmXG6TiiCCnMJvDmv2woHLJxyb+T+IqY5p6dV//XfPJmwhy+A3MmyafNgg4WPjfw0NnLiAjT3wLcf+KyZiEHujURd0ZcJtAM9+EDUksmimutgIk2IHUtqgZGVBou3Naq20l5G5htb0DnPGmqzc/+UiRllOmysxhGTfjsRHlceJK4yYAw5A2Sso4Cgg3UxaK1yhk7qhglN/sLG1ikPw09kOzgtn1nuIrluD9QSOD43i/UDw8Dx9EsJnvOY5+LW+VkYjAdY6Sh34uMSFn4JjHhjWT6HRHIMRbKNo6PDeMIfPR5r37GOfNCCXa6TZoqsnwB1ZR4SXDu4PmqXiSS3RzP5pAQSJbimj3wiL167yLEuSV9OkM23gcZc5stCqZiWsdOwRVjH2q/e+sK34srzrsDKbHVuYGhAkwfHXfHR6XlWBNvTCkeGR/CQ37pFVuVEntlN6zM2Fxy9YN5xY8AMxyVN3+gRRClEx8Z2UkC+iUexs9vDrLhrxWkxFT1znPJ31MCVubBtILZ72+A90fhZx1BXrTPgpGQRmeOVFaGuwxxXyEUPCWOO83yqJEebdehY+BagxO50n+xwLbZ9SaVttxH6AvzXAziuJ/BlH4AV7gmIc68mc9wba0bzQnCnGBVVh+nGDJd+4hJc8P4LsP/C/bjys1diFK2gmTTohT30kwHq3DoIUmQy5CyaqaP6cI10UTFJW9Qu7xrFl75iPfdj05g1Ni49Irz06mJuLV+QjTEvkeOlpwyejJAxdw8bbJbH1NG4EWzgNf/8WgzPXkHVb1AEdnzJCB0HkC+DpjeteX3L2dzQOzDvAFjCzK4vmvKZxnwZsIhM2TbXIFEVnHG1ij9NaPJOeSiWsohEJEa5/FzUGNcpSSC7zAq0/Rq1ZCcttrPCpcsJxLgwrzDiKhFJJXks6ZbrgOPCLmp1iUtWJS5QS1qF3dRfP8xx6zZ18spfFhz3siq8o5Z/Z00m3zspdBSMoZov9c9ceQr24b2n0pTzlEflXdftqq9un9weqF5A2eDZqFLLQSinYWoPE+TgjnXzB8c5yKVLVEWU9FRSyEDZDNTIGJLflYUQPqZ3mpTSIBJriBvXcUvBfCYv/Xw5WXQ/tmK4ky5xyYMTjt6hXzj/bhcfCEZ1GtPq/GDhgnqGaYUyLUxrjhNRm5LXXLVkWkw/z+oTz8CgSQPHHXiucyIbnVrmHNAMdEjdIrPctYzEuTYttfwtOe/e0EXxVLyPyQhlC5hol02FPc1ejD+wjT/5xT/GOTgL4TjUeDVmIBNd08EVGBeQ6ckN2sDxxoHLlAnh8ySf2TTGjcXERJyt9AStrUoWqm2mHhU4EhzCDz/6B3GfH783wtsEqEZmwtalBkCnaYI8n6mYYFhDiySJMc1nAkJMu8+iJP6PereNQGdjeVOCIxVuYIw1SgjkselXJQTWiObIeM6x3diCWZKtTH1NJxUkYwpHzdNztm523Yo5OGTsQydWq8W8zqir3Zp2IZM7ahpK19iMWgl6WnLo2B1qe7a2c463FBF6RYRR3geuDfHCn3s+1rb3YmW6F8gjMaqUHJChZ/VcY+arNYktoi3ybIZ8zzZ++VXnorxNjulohkmxjbSf6tmfaHBPcDwtU8m+vPnX3oarP3AlBuMYg26AoukQRZlAFY4B03LmvFswx/XNEXD12jV4/D/8HNo7Cn7R3I3EQC3kyM77kDhwnB4BvD4D204WHLexTWmQLqsQRxmSfITV7d049qEjeOWv/xkG2wn2ZfuUZLV5hyGGpv8XdmLYUqW5l9K8JEUSpCjbEmW/xMHeQdz1wXfFg3/1x7GZbaEY5Zi2E2RxqkJLr02lqx0nyUJfXO27PgEj0GZJktYQgUheJqqR8YnpSi6cvm/smqB1uWqxO9iD5Noe/vcr3oOL3rwfZ2Xn4OjRIzhjtAtbs4MqVEhCps0QdmTwE9Oz+ZjA/i27IJmo8XkBaZ1JS5Ms1bWVNVy1fZU0HVmMkwFtv0V0mwg/fe7PYPVuq6adzDghAVpWxFOY7A8pznMQ2UeAtuoae1VC9HNwvOrXaKMaERlDDR3TA0RxIgNcMscPXnAMf/+Sv0X/UIJ+2UMkbXyuGZyXtp5r3WbxjQyfoIcJSkwGE6zdZxWPefmjsL22gbzeRjKMMWWnAJm185TZGJQeBBWo6pLSJc6Pw8TtzinBp2yBuohsHaPBrm+HDcLE5EG0RtmamiYN8u0J4i7F7mof3vVH5+Pjb/skdk1WkUxZsgjQkDWNHtK4J/ZxhxKkG5AbTpB0smeKB/7Gj+JOD7wT8miGIspRRrm6XASecg53pglI1qh1aizY4142xnto2PgkGMtH4sBxmfzQYJhrsWV57L4iOK41NC8x6lEfvMMsL9BfYytwjZos+S7DIKcBMQXRgWYyQ7S7j3E3Rt0zPdioF2Fj45jGVi/JTAYkitDrZxhPts1YyxVydkowGfDYObkUSz49d8P9/XoXRmUEC3lkaSkynCPDhvGPGY9LjmteVDD2lzf85JpoYLyCQWNpc8yw04pF3caKNNzsZCSmnxubm8k9xxSvkdrxNLK18eK+w52z70pgZ1DdmRyAB8v5bDmU2MXE4iNBc+kado3Y5AKAeB6epS4zCwORJJumuK5FTXYxz8EFeAKL3CBfJOI7U3D/DBZdBQsN7Ru7fn09vP9EwXGOHcqq9K8Z4HmPex5Wj61jNBlg1Ni6q6ZNms2qE8aeG1Nhau0T+CvjTWyOjuC+T/0v+N6f/X6M0xmmaYFpMEOSUWKLXQlGHOA8p0E0/y+AvAGymrrOKZJpT2C1X6Ilo+Z1Kr7KA+K1e1VErdfLE9SD4yzgM7pmIYdUjQGBqR6SSYY3/MYbcfRDR7AypeySGYSa3NMyOM7JySJVhILdEr1GhpyPfckjZch5i+b4zXkWuRVbYYAzcRcTj5FmLFktMRMJwswiJLXr+HRFGev3MpKNmZ3b8iWlKhaQ6SfSb1GTnZ2YZ5DWUFXsF1z1E42fjwfHpcHrwPGoXpJVcXmGD9S9ISdjRRq6d5RVSSHj2ipmbOikSlWoPA4cd7Ia1uF882eO+2fmR7F/Fj4e455JfyB1v4hFHgmw1u6fhzj82cP42Ac+hvf+23tx8Kpr0RWtus4oN9iP+5JMIQgucL12Eo8JzbxbFHWh/Fn5J/M1kcd4fCv4LvykLDM1YG/hQ8PPca32mSt/s/w+v5caGd3HlK64rggiYvat9Z0GnLNwWzKxP/KYH8PPPusJmGYFcuWc5v0hwocDyBVBCw/x4/jmvA584577DQXHbYzNUxG3lLD4zS4x5uUmJSxQxxHtSNDKqhQJC4wzdlV7/MPnS52kiCpmFFmOdkAjY2Jn5n82/07Xbaq4Vd2iiWSXBY7nmbp6djDHuT7TP4HM8ZF1wBMcN9k+y9G+HmRVbjg4bpgW8ScDx1Ok7DTKuYbRFwuH433ZudFtozcFwakz5fxagOP7ii82L4iO1U9puzaYrpRoejS2stabkkFmSK1gY4VZ1nPKT+MGrRbL37pourGPLmrizqjQ/VR6Q04TK61jS8RLskuYaFoLNjVP5bMp1MFVPa3UacwmGUu4IU6HsCWS1M7NbXEZx/98HpBIA9xRrRwIsaBcWTvwcju0j9vnOnOUZ+S+lt6Xf4gAACAASURBVJLdyza1Ag2rX19G48i3PHmbDCPHm4SEAQeOkxCY3Idai6kfR50FgZ5m+iLmOJMNJdAnxvy8IQ/5K40sMyAjCNUi7lNnqo+Vg0Mc+uAhvPb5r1HyRa1JbuDU7yO7Wcw/MaYNjI0pvKbkiQxSgiimoezBcQIyZBlK7zFukZORyAAublAkOb7z/vfAAx99fwS3CTAjgDgYC6Sh/rgx81h46ZCmMaqG94xdGC5ZZ4Xeadkaf8Rt9mTwO81wmqkQnCHeIwiPVU4ZsZrmO1uGeH3i/8oYx7TyBYqrC8JpawrF9kh2oKKBRrALMDXeNZAJutP1not7ja5PE8dG7HF+d9NVYo1rKkQEGRfavdb2aGOJ50/wt0dgbHOG3ckKokkPH/7r9+O8V56Ps6s7Sn6gbqZuFzKXc0LrvM5SDPVWAFeVVZgMt/HY5z4Wo+9bRb6eo7eaYHOyiZBtgUuh/oKG4UeObZY755/daRUeqgS78nX8y2+8A1e+70uItzr00EfJZxb3xeoVTBaQ4c5zYyJN6M7uJcGVq1auwuP+/meBO1v7tsBxtYSXYrLyFTc93X9ulFw/qHF/8rIqxuxsuhJBRnPMDkm+hn3lHrzl2f+Cy977WQxKbkKcwz2sxmumuYoY29iW9sksnCBlEWAaYxCsYNblkqsobp/jl17xdIzPGKNYy5EHUyukNIGYQqgC9NMeqoogt9elZ2cRC0neYMo2Q5mYuORNY5iFJnpYOHB8ea32IZAFD5556Jgqy1kcfROaGP0yQ3Ykw9/+zptw4COHsbZ9K3TTEGuDNYynR9FFU0oTa0MOZYpKbwV23RRqxQjFGrSSGQFmBjH8NmnJ8VmHAWbtFMkoRlEUGEZDlEWFMiiRD2fI7tLDY37xMejdZmAAec8Y4sHQVZ80/JZOfAfWZsaAJt5o63jZo2lgY0aK/HnTIlsZYLPYRlRTeqSH1z7r9Sgu3sJKPkRII2UpsxhzfM7eJ+tHBd6+ikzb8SaO7D2CX3/7r2FzfQNdUmBWTyULZWS0pZXWJzM+OpxD5+49833Ky6cwY7UV056ZiahrJQgjmWzGcV9rXRQHmOYEfTtkvRhlWSCdDrC7uDU++voL8d43nI/eJBXrP6WXRJ4ITBKrWaZ2U2w2xxDvTjC66yp+9vcfj5xmltU24mGIMiplvqi9iZJNBHmlOWytwD6R82xhzWG1bXsDGY5dyqbYWualyWIva6V57ZjjlOPiuClrtSuTIT+pCgSZmf2gajDoEtTjQgA5ixw5V0wW/MhwHaQo6woJk1eOHRXkGItYWzmNtmR8fhw47kEB1TGdrNU8BpkzcL485OHDNUkcSavLgePa6wmQm88K7xkrBaZhznFtnU62RDNRDZGFPXSVHcO3SbNgqb2Ze4ESF5sTZMEvtMdt3w40/dxm5EMPbxTKgzo5dJVhGHupUdGbklfo4hxRRu+MAEVLbfJW/gNcg9hRo++zRimnd27/j9gxE4WSF7KwwBKnBUBuJ7OIh3zruN9HveTWSVAvb0gAdFN/z3VkVRYnrNk2f5Y2lzRO9P8A/WKA0fYQv/v4l6B/RYrR1gDDpqdYhnlG1ZToKx2VgJ5UcMsgchrKE0z6GxjecwVPetlTMemVyFdLTOOppHMGQaaWXXFYKDfoZCE5GIk/Z00iBlM8TUEgj+uvrbkOdeNqoe49Hz0sd9f4CgolD10c5eM4f40O9WpVtGkRM1ailFXaSFoKE+CvfvlVmFw8NXCcLGEWBJ3mOLXSDehsQJdSdZ0x9so6HMiuwRP++Oewfu91THtTlJH5Y5zYaw7DuY/bXF6sHos4yp7ngie0AKiWi3GL3dxYfgtfCtsKvcGt2+kdK/7Ezv1Uf+q62cb15x+Lu6O12dIKD3l8hZNyRA4fD1jC5Xi4WuFchxSPyb2bcioExyPEauEn2cBmg0tNlU9YMduksUzek+OGMVaJbtBKuoQdacxZvCEi38s8yIb7UtfmVzx7S3R3jA2amDOipOzLDnDcCqyKLGy6Lz6ojYuFIOYypjneZATxLbeRrIoDvXxHqn8OizG3eDJfPkc8fg88/t/LYjbL13bdz33Z7/gq2Mfy53Yc47iv8LNwPh6IUTAP5QbJHISeU10sX5svfO4yfPiDH8b+C/bjyo9fhZVwFWVeKkbqxZmISnw/wfRIBWqLIejBwTWNcix8GEmWoq4JILgxKBNvy2usHOn03S1rdnPZcCCT0wukb74cV/loxZM/FAOI9W1HNUFKH29Gipn4+7qlT0yN7XAT0a1jvOpdr8VsyPW8MP8qXb9JNiraldcbT+z0eZ6d6tXnG/J4SxP7y8/jnXdmnn6IVOHiOsaq6u5z89hJZKY0gCQ4Po0RlyTKMAd0+RLnRBhpfy7jGdpBi6ZP7KNSV6HfCX03jpQy1H3GY4WuaEmDSTcH3JxWZ4sKf4XMZZnzk0Uus2QHjgtM37Hj3hyfvgdJDbea03OW8imL1U00l/iqOvfaRIVeguPRNECUxJN2NXh5erv0xUEQHDtVd+KGjqcb/H3drDtn+7Litemk/oGAYOCuGkVcKYcnY6okS4cLq2sz3slmusFfc0reyIu3jnAvGeKW3XmFkckfUHfG+iXkyYejB1MGiPMAWW7MRkmOeJDYzTBjlDlsw/C0eRTIB67lfhn38Kw0VuZ9+9rCLWVRPV0GSJYlap0euOFrCwM7+/GCvbUoofmFwBJHTkgadFAjnixy6eGyakXtYwF8bnCS7V4bq5l7oQH99sfMON1G6LZJAz18+7AHRGyDnCeUJ/xEv/wQnv/G3a+lsHuxsBCDatj+RZH/BLvKXQiLENe+/1q8/TXvwJEvHMWgHqJf03yQwKax7nU/yHEmeyymnmOIrg6VMK0kI+QV75n9ibNQztll1mCyUqF/uz7u8D23ww/+1P0Q7YlQJJVkToq4RpnkKhxQBZjPLGoyBa5KsiUp4Rn5Nla9dp4l/6766eVR2NpNozoHtqpNl8xxyZ04lqiMRK2aSTkgVeSo/VdFCCgX5E08FzmOAh2bNcwa3S8ke0FQqFTngWRUCIg7UFwmdroGGyc2vN1YUBt6auIjqvRbVwXnVb9O0RU10iRAr85QXFnhfz3593Dba2+P0fYKYklskK0pkU4rYAicNyMWMj5nXYF6N7D7Pnvx8Bc9DOP1CaqwsGSRrERbAezPvPXOFXwEXy0Xb+y9OrbMhFKsHl3Dh178IVz85o9hiFTgL01WWVhJu4FWhTqYWZeH5iERGonhUYsJB9auwRPe/Hg0dzDzOWpxM7Q0Qy7KD3G9pPFlqLZRni/Bca4vXFOd8sgJziDeL85tmnwyEBhh9egAv/eIl6F/MEXKThjpVQ4UGFDiWveb/P+wQDhoMB7PcHbyLZhUJcbBVODpTz7nQbj9j56Nrd4xFYH8xrfDu0CGKLwOFxK7NcuDeZZJ2bplnRE2ZkzX2cLrhp+nviENXtsKTVsiJnBF0L9gP0sqXfRiUkmvfzqdKsAnyDqYDZB9McObXvwmfPFjX8KoXEMvH2EYrUirkW0/HXKZNxJ6IGPKKXKjIkOYJRwCnU1leu1RjLYydg1HgVZNsQOtYCQ+l3tY5Gnn7NJZLxHvS/Dzz34GsMuY4+Cj5twQ3sYDUAoiRDMhmEpasltuORQyqy036QwRMRNqM5PZI6Y124tzJMMQE+SaC+vBbhz5yBG88sl/iNtH56CedjLrkgFnHIlRXbY16rbR2B51K5LrmGabuHp0DZ7z7udivJtH20TQI2BjTLVFQdae0vWuytebCDpgdD7HfBa8nP0tjm8/tYIwx2EWR5htFRiFe7ASreLgJ47hvX/3Pnz2fZciO5pg12wV6/Ea8sLmfLWnxLXhQXzzfW+Phz/zZ1DftsUspda/Y8U5dtNchNVpQi+D/8vQhh+VdoY2chfsYMd4coDeAtPwIIc9Z9uf/XruP293Vcm9GFm2BnmzUs+w8t+/HCwvFoJlMGXn7ncdaOB6k+3rLinLb7MYw1jepifOQoLvNnPGWk5f1DoIPIhte6h0cCfWZrrMtvUssUV8ZMn3HFVxJyGAx4H/UgtfhCEGwC/HXLY9GBHA4Zcs0sYhi3PccwJ0lLCIKS9HszcIZFEngMyBnXGZW/tVDnNrr9J8rVP2BdY14Zlyfs9z4LhP7X0W9g2Oje8YYccvGkuDbQ7+LH0gKwfoba3i73/n73HonZfj1sVukH1K2boiapCEEfos9Gshjdk3grHzrqDXSpnm2Frdws/+1uOx+/vWsbE6xTjeQJyGCGesU6bOvLZVa3MXVk42J9ReyfVUYA0bUigJIRPEVF0wtkt6PoHJ6plGlpczWlrTnAeRgTUGXc5leBmPRNS2t/HEvY1GVETVX/zEF2BwzQpW811IGSdSSzhs1eGYyleAmr4tpl2JMEm151XFRJrjT3rdUxDfJUHVL02274ReyqDceu+FOtykc6xM2wlc0VMdmAakas8XqcSWBUG2Ihh5nVY3T51BMxdB3kN5HemPJVOVfI6+duSar3pb5svSonjjdz+N2R3rqk9EjsuX3Jcs9PSXd9DlZM/nVraW2JrojRZ8bOS/0tYkxfaM4YrIadzSBD1VaMBza+PKSAaMcPhsHJlL4HNQWydxv0E1YGHZur/bpkHCdY7SkM5Dy/YAFwkoRlzSeNa+5SRblLN4PpzZetLYlnFmyrxDppzWfcSuLfLn9KQdD8DSB4fgs5sirmUS3lDSIKtQyBDPiqvqfPM1SZ+TOlLawtD9uovOggrjn5Pbp93D9L/3Ha7WSewKOfNNy56bPKFCSpvQ38XMRJlv6kXZSIK2lD2R+bTrpqeMp+vG88xwZSltq9yAx2JxlvJ7QUpZPALXiQHTlZF2ks6Mvlm4K8cVPn3xfrz77e/GJz72CRQTeq5EaGcdes0A7IC107YoxwPRC2zC36Mdu78b5u53+pXbp6+nzOP7c12EtLhfHudY6lBXd5Z72WFdjKjxtWCOi2YYt5jVJE/twbgaI49yTEYTvOkjb8JmbxNFr1DeyViDhSGuP/y31nOOe3UEnsb146suMLe84cbcga8GaB4X5s7HrJ9n/ve2JjL+JmHQ1iUaaLITJ2ObitvutLyoE5FYWYGCJDP6NCQN6q4WSZIv4oOUHVZ3PiVrK6BXxEhJ5Kktt1/GQjt5/5VoufZmJtciPwXX6cPiN9dBX1y/MffoJvXeZZmYpf3y+kLBefeIIyjTmDPaEsOyDUfxeb2ze08IRsGBU3V9X20s3ajv6Uif3sadJpdXb4pnxT2CpMFsF4E/mtuEAnIKUVg7ZDT3I2tXyc3peSls2wGOu0BvXrlge7UBoQTfCFKqksQKPCcKwfEqNoR4rskdmDylA3RMLmIpSJq3ZfsAwX7pW+R9Zd4Y5q7dWO3PbutxLCxt/jIJ8tQT20S8fpcmtwPWbdNzDC5+nU8ceZoe3BZr1zQ5Ozp/Exgni7zHSW8mA/wo2WBkjpLRrM3dseGNP24H9rpIxgL2YZLfeO0nZrbnFo2TevzHD+Hj0v7jmHDLTVQaeYwnygqDdIis7aE6ViPLezJaxAZw5JMbuPA9F2L/R/cDlJXIhqirUi3V/YTtMR2G/SGObm1jkK4gzS2h4lVGBDqjUhIeEZngqyHu/mP3xL2eeA90qw2q9Rx5PFOLfROkwpkbtjLKhJEgOBfSzPjQDhyndrUMPsUAMd1TPgMVZlSgMSa+ScGY3u1ccsUZT4h5O5czIbOcDOhIwHhKbULKNPhx7ZHXHQ0e7lnLRtgdiGsU9VtZTKFBBc2jKKnCBV1Vem9g54N6AxAkOeKuk5IzBVkqYj9B10hmLzeYLqnMSX07xXl/cj4+98arsHt7D7FBBeVeI5+BISP8NiQgS+CPYzTEdlKgOKvCf3/dMzDbN0ERz0wLXWPUuOpKvubGngaOz+Vy3LBim7b7jWtFjbG+sRsffOEH8Kl//DhSdQ1Qt5b3tYesHWp0V8FMyYZPaAIydhUfV7h27Ro85W1PQXm7QnI5NLFRQSTsTGNc4Lhp97G9m6diGvIL49UTnUKqJTiLUCb2ZOEW+0v81dP+AqOjfbF6CPKTQUwG7cJFmmsimZY5VvprqLYjJNEAR/sbGNxzgEe+6KHIbz1BnmzpeRJgV/OvJH8oO2FrBY837zrwueNx0KqlwYtdYp4uBiGiJBN7uG0oCwNEsX+vk1poIxTTCqN0Fe2sxSAaSvqBycSBC67C2174NowvnWIYjtDHEFGZIA0y1JUVdK00spBHUjBE4J3dGR3HNCXDuOYHkpVRYYQaxWLaJJi1FpwLRBRzwPYC3neC5pTzmMYznHm3s/GI//9R0iTHwMZFkLFrpEGQJSBRX00HB4Dz3noeLrlwPwbDFTzgoT+Bb/q+fcBKjnGwAWQ9BGkfLc1CWfCIc+TtBOjzHKkNP0Dv2gTvf+l5Kubs6tYx6EaI0VOStlVuyZxztHsX8nGJYd1D0U4Q7GnwpexyPPu838TGYBvT7pg0x6uK+8IpDSNu8FAWllSbmWlNyY0CGHYj9PMBNvZv4MBFV+Pqj12Fyz95GbY2N5CsJ1i70xq+88fvjbv98N3QrLfYDLdOAhy6waf69fvGZRaju0oPZCpGUdHSm41bDOB19JmU9+qekg+C5S2Z4M4MU5rlrkPPA+/z4FhzyEncuO1nR2LvY5ylYFsTbwcwzmOwCElZAZdkkOg+/2MmTdT0lwySWvUJpBM9kvCAEQrmzEmC866YbII1x7WIL5B6ux5XrNjBpPz6HSZfiyuj1Fg6WcXn3/lZnPdbb8berTUMgpF28GlUIosT9BmnU/JPLfjAhGbgIffPQPJTx8KjWLn7Kp78F0/AZL3GIVyDZBipEC+CAKWpHJjCWE5FTrEy07lBO+WraLBFbWexy2oCLiaP5is03jBc98GbhFoErA2Y+6LvNJE5pzYaGzNl2yBdoQwZYyJpeklm6bcf/2zs3tqLUb4mcJydLiTx8POMiwiOU7N81rHbxFqMgrbA1u5N/Le/++8obldp/6EG+4m8LJbxE3C5U8IfbVHcXnRx+TK5zQ8CmbxKGf+qjuSk4lzBwOaYJ9R4cNziBkWPBPl2kBdO5EpO/DOLeq+f00v5x/yXx4OKy+D4omi2AMcdejw/lH3e5ER817E3T/YFCtc5urQV+/WTpsAkvAjcKazjgYC01uWI8TmPT+fjQGSaOdeJ4HNSoOzXKAmOpySJVVrAmcaTLMXihpMxPw4cXxC/5jVRt1Yq8nOXqJIivWZrEnMoqxKKnESpIrqLkPzg81gt4f7WMcbi+UUd6h7B+1LgODu/1NHEWJWolbxKrMjpcxCRLeaGtcc/ex/NLP7vbv4OwN+eB49txLj5bHU3zx59J7KLAPHa/EBo7syfsQtKBAzKirnhwZ/p5yxqkVzF9zvfoiSKBIozN6CkV8JjsJO0IEHDdf4y12tClNslLvvMZbjkE5fg39/77zh6zVGMD2+ro4sm5fIEEWmKOsrWoXs6XnwuZnzONcvlrboqY/HaiCdxZ7GRe/Dedlh2eZmZdqACe4SyV6HYVeC173s1NvsbyEl8oCyijA/ZTeFIR4n9XLr8p+n6T8c9v+U7l++ARtOczOBnseXlblKKcEc8xBUXi9RiA+cnqLVPdk9UQyhR9Gtp3ZMIyf9YxOWhRN7T3CZmR7+STuB4NmHnWaqD+J3A4EN22leSaaGEYklVh5B0qwZRQOKgBY6G/dx8X36LXCYJ77yaBTHm+CyT4HiylSKg9ngvuqB3Zu/hwXrwpVN1N05pVtt1XYIN3G18VfmmNK/uRPOrfO2mDY77KqmBZDZZFkxSA5ulfclJJBCRATANeSK51nNDN3DcgF5BZ8vg+KJzwAHRziBK7zfkXCC4B6lFq3BA97xSPS+7+/K7tTJJGtWMIu3lHqevAAvQt5/b/rL0uN3cN+DGAi1vZiXDqNgkAgjU1GzpcIwbrzdngbG7ZzqsZxPbyShwcBIZPhzmjfFw+akDx49f7Jbuw/yOuEDHRyFLP9cGXDXoBT30gwEwCRFMqc+XQdkUVTt4SUeBKy+9Bp/7zOdw1RVX49oDBzA5tIXd3Sow7ZAmPUkscLPlcZI4RU62OHK1tlP/chbnWLvzLjz2FY8FdgP5aBtFNFVC0yLT+GlCguMEUQ1IDVillBwNgwj7uRmhmgauEnfH0nFlB73fEnAbH551YGOUgLBnGztJFRaqnJQKCz/6O8FYtQV4FH15+Hj2tNOMFYOPbG2abxowLpmepNGC7seYjQo3Hr18AphscsOw6y+cKzPfJyY7zYTUCj1TED2qV7F54QSvfvrfYH1zN/o0C6W+ndqNjG1ubXNkjjNoChEkMTabKQ4PD+PRL30UzrzfbTDrTS2odiCGsZHMuEVjQuAlDVd9V4mNM9173X8aR1I6IMOerb14z/Peg0v/9dOIS9N6VkreZUjbgWM4TfUMDeAx5rieV1gKHP+Ff3waZmfNxFojg0RJYsROG2th1PP4GoDjxoU2QD+rqWU6wP5/2o/zX/Ru7BqvGO+T4Dh6Wv88OO5Zo0U7Qz8doCxbVGzZHh7EQ3/9objzT90eR5IDaNUFQfkeBqGxWF5eT97kVMjgMMBh5zq14Or6NWy+xhlarhe7euKAoG+EhFJHHTArZ8i7GZAFMlekJnq5zaJXhr31HmCS4NJ/24/zXn8eJp+fYC3YhV46xGyzEONmlAzRVhV6Mc00TWKj5rkS3A54tzhvDBwP41jSFpko38QtagzSkbpJjk2Pin04byl1SzCTPSsIhNI4jvvcNo8h2Av8/HOeCpwVAqu8OM55onV2vVe+/yq8+S/fgupohZVgBWESYTuZ4UFPuj++9afvhLp/DO0wxqzluZrMUBo1yMsJokGKQsykBHuwjs0LjuGvn/saZNdkSDZSgcr8EpoSEtc5OtuUAXA7LdH1KlzVXYHb/9gd8dDn/wy218bSqOf6Rn3J0yeLRm1+a6uV3JS6u9iqSzCAbLkYWT1ElwNB36pA4+kU8WqEaAU4sHEA2Yjrzukqz5+qMO6mdRwfZSwzIRfxh5lc2svWWg+YmyIbC8JmgK3CPztwpNfOtdaQGN8Fp1hinjjb+uFjuLkhuViHC5BysQc59qGV8+dgjTHLTRdegArBcXMINoCcPxNhwuSgZC6vcM06XKww7Z/HgqywI0rx/jDzO3DTen43l7OJmwxZPkL/6hQve/gLcMbWOpJigDjOsNXNVGjuFUDKTkcaEyPAzHWIiHnMjsg0x+ZwA9/15O/FfR93X2yMNlHEBeI61p+0tSK2dffR8M+8LiidJ/k8Ao9cazk+ywBRwT8hMnYZkpEp3Nlor9z2ZcDp8WSBwk4r2ncd8J+evCKGgMVsk7rCyloPzVGATXHTK7bwsl95KfZMz8AwH6rzLwhiHZ/zyDq8rHhO9rhFjhWQFKjOKvDf/v5/YHv3FvIwN4DqBF4CKx15wjpvXEeXk9oz5rKRePxsN8N4kzWwTipn5OvkE+bMepdzyQfDpzX+KL770LFdT9f+o2ty53b9rO+F3IhLwJZmvEN5eS0uR7Ogxss8LOeji9XSk6ZsVDEWXbQOG6izeJC+CMf9kOCOZEsosVKxS5RgOA9CeTqTiRRXyOoQ9juSaOISJVmLZDCmRpxiQML4V5100TJtwYVl85OY7wTz5z8/O2f8SSY64/esMXIOwfEgJ8jLeUVtaweUuj3DjMLNXJH3gobIiuP7JOVQhtDIOF6u0/owvFfNfGJpP+FFenBWTazu5Hyh9bqSTjv9IZY7nOa72bwriWu/scHpq0OmN4u/BLznuwNB7jAWI1yPQvR4K6NRzotkBYLlZWlAOV8m52Wm0Zh12IPdCGYBtjfHuOQ/L8EHzn8/LvzoRdg+vIU0SNXhzXqGCtFRpr20KS0PoRGnAPrT9LJ9d7F/Km9dEgni8xUBZV6tsd3dBFscTsM1labt9JmIWkyTGe58vzvjN/7013AsPooqowyldd4qhhBz3HXkStb1Fub4aXr8N4GvXeSc8052C+YcKmCj0djjsYqL9G9IqgQEZiUV6EgXBo5XKHolyh5zYZInnBGs84EzcJyFOQgn6JUxsjGLNowxSMPy8LyB4+0OcJyS1ATHmecYOM53S4LlJnAnT/QUTgYcp2FqusUOmRBBGn2qd+veTwdnBJec6Lkc/7lTDY5n2MB9x1cUr0mr5hxVUnbVkkrwzHEvq5JJy9O1CZ+qq7mRx9l58T658jvkgulKQESBnuRUYlW2LXgmk9wAQjHHOVzFInQ6477SrUNaQEhNSyPc8v8dgpga7C5QcqVxD5bPN9EdLclOa1iBjJlXqaXaLLgdm8VVu7yUyvL+55JJi8fc5mPQ/7xCb+3CZNg0ApcIcnZkDdBBl7pHZObO+1D8RuXBcRdYOX6thXC+9dLugxegsYBiuQHvRj7ABUa2xCu9/iG941u87qEYZo2CBi5+LWULyhRJk6ErOjQzmpFkkmEwmrZp++pF9s4MwCUd/uLFf64WtqRjRbFnAUlLQJzOei3ijIZyLfKowEZyDI/61UfgzB89C5NdWzKUYSJOu3UVE6TZLXdXWywFojLoNVkVk1vhAmsak/Z+QwsXxZ153+Lcid7foHmfBs3GBESYRE5UBVpkWPDROJfGLhM8u8lLXeDzp2YgslmOSpKHhj1kY2esevLfNOB1zHEXHltAqcHnWs8dON4YOE7muVqDaWraxsiqROzQJimQBDEGdR/ZoV143S++EdufmGBY9EDjDJ/gqUVfwbDB3tTc43wsgxrjtQn2/MA6Hv28x2C2Mpa+KEFPzxxXmC9WryV5MvVy5qOudqQ1y7TrXIGiSbF3vBfv/s1343PvugRJYQA97x31simrouES5I45zmlHloQ9V7LXDqxeg6e99Wkozs4RZlw/GmsvZmLL/qsvA44bY/4kZFXc/BeU3yXoN0Ok2wO89aVvw5VvuQx7ZruM5kmgQN9qLQAAIABJREFUvqMZJTkdlpx4LhOD94rSQmmEjWwL43Nm+JW/fiaOrB1DuTIF6srul5jjkToWOE4tYXbPyZsTz6Eyn6i4AHiePNq4sXXD/tZy/sapJIDUUkowOSYzvZLkyHa5jV7SQzAJsLvejXizjw++6nx8+O8+jGySYSVeQ1hHMmatywaDlGz5CHWRI6XZisx2JZGu+cl2VMLOYvB1oLWjkhhqSrPlneMlb/hTYJD20JWmEa9n7Tpl7H7zXjqfgiTEseowupUG+XCKe/7QvXDfh93PAHJKT19R411/905cdvEXgK0AWd1HLxhgVufYwiZu9Z3reNzvPRLdbQuM0xKThtIyPZmfNvkUcRxpnOdkWyUJ0qaP1fEQF73lYpz3R+/E2TgL3dEOKdeUKFKbKlV/yiZHrxdiC8eQ7yvwi3/0S4i+rY8DOCjDUJEh/MO48Uv3KfgEk53MwHGww4L+DyYUTFabBgKNeoMMZaWwFFlK2aISdVMgyxLpBZ6+9PAU3IKb4CGOj6uOb8+2Z8P5xP2BxScvzcK4hQUu23/4p+O+xFhRMlVakOfgDeMegm+2/bEt1ZXelTC4PXupxd/rFSvcUnsf11hHfHCrigrNLiFXIZnSKpRsIjDugHIWj/QzFoQ13qwVxHfozRcnl2Lt0M5b2v/m8d1N8BneHE6JMl+9ZoiVjT5e/aQ/RvCFDt2xBP10FdutdY712dGjYjXZ4yFKkSYbxAJlasmajXtb2Nh7FM942TOQ3qWP2aBAx04/erWwg459fJSb4p/YYl8RD2i2S+Yl13HqLpONSSmDIkBWEOzjIuqMzCU7Z412PiHUCkVgWt5LsSHnfqPQVtcAgwhFnaOj5FUODCjZsg1c9I4L8e43vgtrszX0GQM5eQ0WntU1KA1z23lEFA0i6wDtT5F+a4Qn/tVTcax/RBJ4vsBzY58551GsxdNAeMaxvpHQs5YZm3mzMcmoRMwjmAeZzFhPhS/rAmFBay4tIy8EjyW73Ew5liMhzdveHVB6Y0/+VL1/XufbCQQvoNblWb4EiPt4eIeM384C3454fn6+i9XV8igmJD7+Pw4cd8UDadxK05tyQSTCkPxDwoO15vPF7srlGNfifudRRC1vMiEllWiMbXQ0OeHfHbbve/u0Brs4bZ407CQ6+Hom82EWm/gJGdwyp84pG+SY4x2JQS7i9A3S4o5Z5zH/E7Eoa1H1C1QpjXZNVkVdPGYwofWZIHzHfNbluvLDUPxpRU6d8VKRws7Rnodnly7+br+yXMBLRHpCmCv5OsIS40r6pnj2u0BtZgeUWeF6QP1umkC35mVl7xU7Dm3dMT0VM5xxp2gZjG/bDpubW9i48ig+df4ncPEHL8Zn9n9GGAXNM+uiEjucpJW2YHzcE0mKoLgKEQTJ2f3YUPrBFwxO1YS4scfx0Ze/1x4TcLrxSwC67bOWORpkYnOB+WfayzAFTZWn+JUX/098+wPujq1oU2ODz5xkMuW7TlaFRR/lfRojp4c5f2Pv1C3v/1rcARtDHs4SVcJJJFn9xfI0rp/E/SIaG7NLjOunupycH01nPn3sXCDLu846xYuBpDn9nmXFL275SQ1k7OIZJ5JVaTmvBbS4axTxolI3TNNvdUzJqihWNnlOQVI3887DkwXHk23b21p0nxucOXhUcEbwH6dqlJxqcHyAw3jI1lWz3+913a3IPC5XF+A4g0oPjqc3AXDc7+G+Yq5kyWuHOS0cBg8E2KRXReAwjxHQabalDi+ZI6bVZQCwu52ulKN/uUiAmzMBPDnOsujk9CwJMvhN20urOC7TIr7yQaJrAbFOTEsKVUDnv6lBzMi0ppxD7JLJSNq7y9m/aYIvtfy6HmcCBz6EMVa4yaMoqCCu1esktUIN5CKie27lNLscN3ke5Nlpy1jQ1Xl3BooL+RUbxCcOjh8/eH1sczzY4YOx+fbrN9g2QBYk0oyk/lpEzUgaHzLBYTDSYyAClFWp+0zjs64OUE4rBDW5tJGY5W/6jb/BVZ+5AmvpOlBllth3DYb9DGU9w4wma3Ems8JwvcHq3Ud41Mt+DlsrrGyTuUOmg2/vcrqCTMxd26g9M2vlJhRtjBCKDcvh0MFuy0uCH8f+Z4sAT+Zx0mdlgBGhI9OJLvbKEwONc4K7BCmsD/04YosP6gWMs82yccABDDxICCJYIaWWlqsrpLgAXmcyDzqN8WnM8VQJJoNldVRIjzpCv+uhKnIxVcUQLhKsTPfi4td9Cv/6x+fhjHKvgmoGuXyRba42JrGhDCxlEMigs9pV4YrR5XjO3/wmqtvMFDwFard0TEEmkY45OI+T5zqKpom5DICo3apOsGe8G//22/+Gz7z9P9EvrX1P19TQDLCvMV4jn5+jsQsJjvN+1bh25QCe8NdPQnyXCF3KgJWAeKjHW4Vkjtu94A/IZOd1pWwldInvCWuOq2OBxbVQDLl+NUR/3McfPOOPEf5Hi73lLul4Uyut7awYY8kAGdTWMs3APUiArWYT090z3O4h34IH/88fw6EBtcanyGoWEhTOapyTfad2RhUYnNHhPDjdGZjMIXiHrunfPnBx44jzt6tbJRJqyIwiBSBkcJNRkpAdM26xq9mF6vISf/3C12Fr/yZ2zXZhUA/Q1C2KttTcJtNQMltkbNOHgG2a0nUL1ZbO+8CyB4mkSWNr6IwmVZK5IZtc4nOua8Y13RJoY/LjkyX5NsRIZdwcIuonODi7FsOoJ+bBuBkjJUOwF+Gsbz4H+/buwwUf/CgwrpB1KbIgVb2iqGsV3ZJBgsvbz+NBz/kh3OlBd8S0V6JO+Ix4LQRsal1X1dDsFGiTCFXeYTVYR+9oivf86fm48C0XYDTpYYQR8rxCb9hHSYOjpEJebyHY0+FeP3UffPcj7ovZGTWaFa5ElMEgsMP5e7rgZQLdlugFLeVtKiRxiygRjwMzyl9RuzPJEMWpDCvbvNSenRF8YdHDPZtTFVDdchy/q1/fndi5Ywt8jh04oX1JKJ7JbGlPMOCRsY28L5xRmPYkkbkjJLmxyq1TzUDyRZu7sdS1fVKyxZEVtJyIwcCOI/usV4czQM7TCI0pbgbAjXXPJVyzuddRloPgeK74zSc2iyt0q9eOrgTLZBZQkd2j0zV7bu5jVftWl2F4tIeLX/XveP+r34+1ch/SdkUgOIsccVcjkX+JxTPOoQShHGz55CMU0Qxb2bXYc69deOyLnoL2VjWOpRNM2xkGEbXFbUxyBKlR1AGAfNbcD6gDSrkzjj/ua5Koo4kX/Yj4p7FYbZEPeJiNg55rKDcdJ8PiB4OK3iYTwbGW9QYYH5xhRJP4CviLc1+F2RUTAePUa441+Jms23GYlAvAJ1uNgBBiFFmB8coxnPUDt8HDXvAwHOsftXF9gp0zBo5bcmLguGs2dHuzPFk8OO78EmTULlDUknwjSTlwXPGIOT3aPrv4vJdbIfjP/djHQXqiXqfptA/onQD5jnm9xH71s95iYZcvuXPfKVG2lJE5X4plcomBuz6+Pl5WxUHUfAYCdxz7cRYipBmc8sTEJDb4JEyBZA4UGfhohC763JTUGyc4njXoYutibTtKz9n3LAqTjiTmQOVlQNkbfvq11jx1jPzBGJ7dFgLHuaZTT1bSgx4ct+tb3DMH6nO4JAaO15QATYyMw0DeCBgcWwaCq4N1CRw3Eg3XgYW0zfyZOdBJz2MOQNkNWsC5HRIZSy8RwuZdUZbX0stKpvMtZfZYqA8Vc5ItziIDOyvTXqI4ui4a1RzI+Ka3GUkbZPwT/CnHJb546Rdx4Ucuwqcu+iS+dNmXsHlwE6NwhIDErDhFlqZoGQsz3+HOKSCd2LvLpzgOQlNBFotdURzP83TtQDt3Qn8bLc738qwer1iKK+bkNsthgzhAHhYiinzb998dz3/58zBOx8jjXIQtA8F9kc5aa2huaK8deqGnfQW55QT+H98BS6fn64qf614amL9hns/4gaoRYU4MMBQ47rX6LVxkfFihoBxx2qDpsctGwkEL+T2npiDmeEPN8QTZNj0MSQw8rgPXg+OpyapUBMipQb4EjjNOlVfO/+Nbdiq/7qTA8SZBouJCTGWGK7IzRk+Mb4v3BoGCu5N+nWpwfK09gKeOr5n8ej+OdpVBLnCcLD4Fl0xGI5OBiB04vhiEJ30tJ3QAXy2Xcabb4xZaktYuy3Pl5q22tJI0fvbymBmPgoPlivNihbfz4ZjXxGnElqjJPOGkEfuIWpZm9uQBa7FSHABmedpCisJAfK/BY0GNQKo5OO60kSoaOcaSlODEngN6OlG36bhgTRN7WZtcyaRjootYzTIXxCBvejWKNJfBHrWQ2R6pzcmN8AUIbYG6tLzmILkLK6x3el6t3/n7G/cIrwOOf4UqmgWhLlF2wTuTarbHsO2+y6nT2EMa9NCWHaqqRBgHuvaAYEvXoC5rJKEFISJsbAA4BHzpo1/EP//V2zCoR2inCfphH205Rcxnqc6AEFUTiL1cpVMc7h/CU//k57H33nvFJGehge1dtoH70JksnAA12TJqQSXDwmliE9QmOK6U3sBxL1fjgzdvFmYYgPX+sHLuEw7pkTcxWrUwEqRknsaExEAJ6fXxqD5u3FFct3FkwW2p8SxTioSarWb6SR1LgR+OreFDm/kzUEJkHQragNS+TCM0a0dSYtcStKUpTy1wvCXQV6dYL/ag/nSIl/zCy7BnYw/6ZU9McYJ0bBfleDSZFSeDIePMCONkjGtHB/D0lz8d/Xv3sd3fdG2lZDJRv9Ixu4wr4thhBuQyQXZWWTpPJsgc32Ta757swof+8EO44E0fxUrVdy1XvCaTVuEnK3KM3Tw3VpWqnWiSEgdXDuHhr3gE9n7PHhmyko0ocy3+50F+1/4nsE9JqWlYn5TmmO6/A8erFMNyhGy7h+c+4gXYd/lurBerpt+u5cCSbq8R7rtpyMhjESSPJzi6chQPe/4jsO9+t8Z0b44imGKgLgTbwMlSm0lTvhbjTIUYauqLxeN13hYAuS0rPvly//fpiQO9KG/CeRnHBLcT1FWNpu6QBJmMp7Kmj3AzxMXv/jje8idvlkFjbzPFsBpgFIzU8pqzeKUNoEFZzTSr0lhq9qhazq5IjHA5Kil5r8XMa7iW74qw91ZnoNmqsHFgAyllVBqyrkv0kwxta8xxx00Sm0mmzmr1D5CjwGhtgI3NwximfZRdje1qit5oRWB8MaPUS4SMc4HakgGw3YwxGK5iezrWsY8OD+OMB+/Co3/rUSgGFdrUWPBMgJI0tLWMRm5xaEwrzu+6h13tLmRj4J2veDcuevtHkcxSGckSSM/6EWpMEfZrPOCR98e9HvNfgfUGB5ujqJIWQUhgmoaGvEunp7FPEErUl+550nXoJdyXS8zyMelWSEd9lA4k96x/MvYzgQVAURRARqmfG7fv3PLuE7wD7j7LnNN2EEmUmB4/f+KKj2Io2N+luWqMBVcUnqMWKoTG00T7mI7nWHkLQMY0z9nFZQD5nKvgLiCwopcDzaWQskyk44eE6HA/M0CP4LgUCeJQIFEd5/IH2LFWueR+sXo5QPx6gPHl95zgXf2G/Zh25DbE6nSA7hMz/N7TXoZ91TnAVg9h1BcxpGtmisNUuNQ+ZLJr7DBhXJTGKyiaGcL+DF+cfQ7f/tPfgQc966dxTXIAq9+8hvFkQ14k9D9hrNq47iBfgOHRuE+zo1KdoAH3SOomByrkJ0WKpMwUl5C8smCo+cFm4x5uD9TDVLhmbdo0E+/1aShdY4ihWOOXvftKvOWP/wErzQri2hF0ZCbOucE4ioVcx8wG4yc5u2CcTXF0/RB+4Mnfh3s9+tsxWZlIcuVEZaWs0dXFgq7bbrGWek+kJZDSaYwzb2DHm7IEkY89OOuN7o0ZzCKmDLtdcULuH4yLCI6rU4Tx8DK4eVOYCg5Avc6eMkdQd8Cry3IsC/mInavCoqjnCRo2ZixN4/Nz/3ZDaTlS0mdJ4hJ7PBYwTtkSEmJkiMzuBmmPu8LGvCtiTkgXAaakZCJBn4yxOONSdsywI9wWTPM7YlzsNeMtP10uGoqY45jWiqQCdmMwrwEymteTnCRZldA6tMUcd0WtJQRojj/bN0vKUczxrESTWicEc1/bT2ycqAvad9k6YpB1HLkWwPnQcUVWd/kG+vucbOezZfxNY9+FWbz9foknb42XlGEMjaimJnB2e4cRkjhCQSMB7lvsUmFuiRTVtMbBy6/FwcsP4RMf/SS+8J9fwFWfvwrVuLJnyDzO/ReHlJWjsWermFOFhiBVUaxoCr1LpJbAvp/v476rXpo4Rk7ZwNMEr1lG5SWXLErWLHHeafZ0F5zDeejvd2/mX2GKoiswScYYJ9t44Z//Dr71e+6Mpt9gUk1kZO8LIhZjLDAQ+/uJk/NuCqvNLedwcndA+N9SkdJGyMI3z68h7KwmCLsw5oxN2pZ7uk6BJEEWEVmgs0IiIZpGslUsRBEHsneqaEzmeElwPBWmYXGJEVntXda1UyUlagLjBMjpDzEHx50v8Tc4OB6PKX2X0IvhYG/34L9H50T/FAQB2wZP+nVK08Ku685ormh/c3xw8qRBlvaKcIZqVLnWKdtkzIjNgC9fhz1tlQ/fqqXzsU3O48JkQoiLKLfvSG2SZrhDVjYDCgN0fO/fXDOXFzMvRJumuBjjZNPGjQUYCQd+Jw1LqgFaW9f1V0r9EzacyIDxHVqecxa0AzVp1OjAcbYic++X+YhjrnggW6wZgqbuXBeBmU9QHePcyWpIIiNlBatAmRVyMTfgzjPTF/V0O0f3nb61bX6vGKQsgeMnUbndOXg9qOYCGfdLn4x4k8oFSE6WNCmvAQbhSEWEJidNnAzxUGCvzDoZcDCQj2ywdGx1o3wDQa6QaDDQXt7iD859GaJjMdaxT624XVUgDjtM223ESYqiAgbDIcb1JsYrY5zzI+fgwb/0E5jumyFPcsfkdlpSav0iWEumkgHITAJk56DnRfOGzC2oxoXyUjXGAzBZEAM1bfOXqjSDZCZT1BgnEE4jNLrDC3i1Rdu3nln3APXz3XN1C/uy/hvZ4RwH1BcPGYRQi5VjXaAug3ZjZZumvQ8bXYHCgeM2hgjUm2EjC0h6vwvq1VIfURZlirarkSHDMF/BcGsVr37mazH5jxlWZkMXqFOb2xs/2nhgIJ1FNG3oMOF/e8a4z+O+C9/51HtjY+WY2vrtXBeyNNYu6ZhLMq6xeeeZ/DWLHWyPYotiHWD3ZAUff+3H8W+vfDfWihGyiixVMkAyrR+8Pup9LowZTcdMxjtxicOrR/Ajz/9x3PHHvgWTaAtVWCAi27et1WFihQI+IwfSkh9GZpiTtTlRaFLPRl0LNBbO0J8N0Rv3ce5Dno1vPnw21oqhmP2mwUtjIWOK6f64CRJHKabNBMlqiKuja/Ckl/8Chvdawebqtljx8cxawKylusEkK1TIILivQoyKGXI0WQDhLsVwC+xSu6t/m0+8OC8hXfA4idE1Haq8xkqyhhWsojkEFFfWePOfvRVf+Mhl2NWuYVT3MWhpSBWgq2yu2FLBJJt/uGCSAhihrBpEEVl/kYqQauNFqWIAuyOaQYP4tgme9MtPRHF1i1f/watQH6mwb7gX0+2xZFY4R8Rk4m7C+deQccCWZtOy5fHoScAsSnVOJowNjx9Zmy3B3DARoMv2+kHYE1Nmm8W3LEHZVJieMUVznxpPffFTVbgsggIR3UnZ1R+WmBUTDLIeOjG9O8QhZaMIKqYCFvt5gu6KHO/75/fjoo9/Wl3+u1aGuMe97orvvt+9EN1uFZvtIWB3jCbtUDSVAezsC1aXw4mOwJOLX6Rfq+kVqPMFZYsUEXpJJqCU4yIiYB4FKhDwFYcRmrKiUCUGoyEmNdkYJ3cet3z6y98BNZj4AtdxbxNA4gFrPUYnvzYv1nsjT58w2B7idnjtGWnZl3mbQih208jM0EyP/F42D+rmn3WHMJUWHVL2L8vguPYrmrrYLznWKAfRxDbmKLtBXxYWbWXUqIL/ssa4v2r7AkvArjvQTlvs+3UyaHlnR2UPw40VvPl5r8dVHzyCbGsX0npF5shdN0UQmLnyMggdaMAEKLoQvbCHJKyRR9s42DuC1Xut43EvehI2V7bQjSjTUGrfk8eLK5SSuMB4JSEjXTI8LCLTCNw6iQhYcc9mzkCT85QyK9LP96CjQyTZljnPJaxKQ+NuAuM8FguakhaaxUimqbxv/uLcv0JyNEEw9vBjA5Gl5ENEFhpBfPOmyUi6cNHjsXQL1+47gF/4vSdj9e59lCvFSYHji9Hsuh0d8DSHB0WOYRHYJC7UTWdE0Dkg0ZDVygRfc8riR0IJZtRusYZ9xggehPVYNGZEbB2VNzFw/DiCziIrWkCs87xx7j3DCrOidpcLLuksu8KhNy23xt8Fo9xLr+xYR+ZrroF/5k0VSTqP3c8oIAlFao9nZc/YxSRrzUFJlwu4IiX/VwU1aoI+vVodxIztEHHMWQeGde4YfWfexbMEPCq61nO3zkMDxy1PkRwIJRTJxsxDhATvS8a7bKs2LfTll67KGhcF3DfsaO4Zc5w5qkgozC9YVFEnH8cVi1eMuBnF+8IN/+biP9fNal+1BOzPAX4/2hcAueJyFXGXT9AfYfG8Q64V7ECsWZAz+T29igAr3TomR3JccfkV2P+J/fj4f1yMz3/m85gcGys/G0QD1BN2v8Qy0ySBiaxzST2ENHwvQSVi/Ztdk/NXp45ZEkb4koRKW+nak9h8Whg7UiTwdL2OB8c58w0bWBSSjLjn7rnrmPf7v/LGIMYUU5RrOb79h+6OX33puThcHEZvrS/SC4sQfHk2ugfH/V7s6u6n6xbc8r2n+Q7YWNsJkM/BcdftywRB3b5tIr1xeSJQPlUFb+av/LxJ70l6mPJlAscZK7JYxw7Dha8A1wzGAb0ylWY2meOmPGFSYjbiuWZVKNNyIasSk4RhQSqPwVzOZAFvvq+TYY6zUBhPYvS6HsqiOJatZ89Pbpf9ZRAwMjr51ylNC7tpd1ZzqHvF5OD4J3uDLBA4PjQJDmuLc1rbkgHzxkWn8dE6MXtp/4ldZOfizfg4YMnyi8sQvZwtXzThZCLGDWepjc0ZWs7xHcemUPuOWocb1NJi7izASExzT4ZPMlRxm8Fc68hafpdfy+C4L6fya9q6ETtKlWFy2cUOdi7UNN/IaZ7iWpRdu7IYWR6UdruDAgfqI+nZGIPYZDssR1T1PW1QsW2f7WtpYcCPMFQDmezlkkFV531QvEhorXrvncP57hNva7ouOL6oNM/PxjHQ7Fz8OVkBgCYdyaQnpoI05Xn25r+qR8KAIsoitGSjto0q7dTkZRLuNUsp3UCg/O1/8HZcev5nMdxcwaDuYRARuKIpYCPDvjjoo25aGVTmwxyHR4fw7Nc+B7Pblxj3xsaCERPBzrEjEBpSspKt3UwUqN3M73K/CzIFogtg3JjE/LeMDh35n8fg06bMApm6CdspaRxVsXrJQkqCQAmUS1rmXQAMwmylVugrPfRFAYd/57ymEQ6ZG2TZS0tfggampy9zMze2dzADXfWU5yhGh5jjxkwmCOHBdBunkcDxWTsGPYNSBvjjBLuLM/C///R8fOJ1n8LadEUMFvNN8+C4Bfu8sIQq0ZRxjwMczg5j/b678ajffxQOjQ4r0PdFHp94eC1bD5D7QMpaeslKt8IFf05wfD1fwWf+4VL88x+8TczkrEhVlOpFPYe+EAQ1Rryx4o3JzmSIrX9HVzfwA8/6Ydzz4ffEZnREbd6RAz4Jzuj9klUx1hSfCNvF5WMwB/Vv/GagwIC6aDXQr3voTYfIJj386k88B3fcvB1WpgPUYrwvwHEZkWpEWbIqKCDqkGOC8doUj/ndn8Pad+/Gxq4tTIMxhkjVWq2ugLBFrrbXes648fPf1U4WdCVFtL5LxtLtZUkbnx7S6JZjk7qKbdFpLq9GK9j63BQXnncRPvTWf1fRaq1dQ6/uockrDMI+mraWhj07QrI4Rl3PlJBHETXUOYq5BJO9RG05Jlk8nVoGZjJ9GnSoVmv8/HOegvTMTAnnp8/7HD70tvdjes02diUrAusJqHEOKPRhBxKZPyqMWFLCO0MZkFllBnLTaoas19OaQbCQnTks7jQFDUIzsbW57tUsliUxiq7C1ekBrD5wDU9+4ZOAIc3bxgiSECWZhwnBnQb9JEU5nmAQOwMTMvajRCzzZlJiTzlEmCdA3NN5VZMSyYDMrRxdv8VmmiNnW1/XIssYjFBrnS37pw8c57pYIZf5Kc27CCJJ0spsqlUM6Fp2FVBqx5JF7pkRFxKOR/4+YiHyxs+dWz5xw+6A4d3Xz01bFNFd8isdWcEm80jiOsjI8teymwIDBOqS4zpmf6zw67ugTJJFm5GX81rCOYRPOQDOBI19OOZiMoHj/LiT3hKAZ3sb459gQCNqAzIZ2xhD0fYwvdx3ekBrcXVf8cpu2M295V0C5NIixJ5yBV9672V47bP/FvuKs5FtryLtUsLfRALNx0UxjsnXKXonk5MavVWNUdDXvnS4OYL6Vg3GZ07xU7/0MHzTd52FIp0aA8yZTpI4w3Xdxy2yPpa2qAG7Fv8YcEMQMq0i9GiEmEPEBC04MjJmxMniqyPYKi42gJ1/+AuCV2L3jiNgC7jozRfjgnd8DMHRACvRigAvye2RCa8Y1+JCssx4jZSIZjdTG0U41DuKA2cewPPe8FxM1zaMbTtnHp/YYOL9F9HGTRwvqmHzjedDkJMSlPRgoWwhW9Stg5FThGaDYIcmwz92ZUh6kvfaeRuxWG0U37k/0RwQ1s9Pr2byIrNZmu7uVi7HNAvW6vL6Rrq219WWZtQiNxKYIs1Ou7+eUTgHT3x8dD350zI47vI37ogx3VRqA8flzVqm6BVDkxBXY4XlGopLPKHK5QPKiampS7CmV8/lVeSr5ApNJtHh4OalIoF/eu4OLfJdVSWNkENDWXZnUyY3TTkRAAAgAElEQVRL4DglDEx/dCGk7pM6r9hJ0J7jReB4vgDHeUEkZPD2ERx3Haq2RltRTHkyx6fT7l0A4j6HXYo/5zS+pd/Np4vbq5Y6k02y0pmuM8SWqboVbmnAOR1P8JlPfxqXfvxzuOC8j+PYNdvY3NhQESshE7w24kgaknrK/IUZTKyf89ULM8U3ecsHyRi8RUhj1K4ToYaPnEx1yt7xPxlYsuOUxQsZqboOF76H0+vEpv4p+JQyUx3HRrvlR44N45AE35luuYCY93P2N0wzfdRhPNrEi179v7D7jutI1lNsbW+h1+uzyVPP24qWdmwjgjld9x3YxSm4pFsOcfO5A0vrpJEXFqduMZztbBw2JLlxH6XSAHnJQUn8hMXG1NYQZ0bGOEHa4JRV6ZEQVqkbnkU862S3tYH7H5njC3DcOtNMMpfrlhX0xBzvmSFynXA2WzGS8qZq2vlGB8dnMbI2QzXLx7213h/Fd+i9JAgCajqc9OuUrotd3t1+69Kt12dd9r3UcY1WQgWWy+C4sSe1/bpg9fSD4zwda4/qtHF41i7BEVUnihDJNNRg5oSwSM7x5SSb4oIXj2m7maZAWcaErdosBC5Ti1nVJKtie/78PFXyWufOGMACelvgPUBuT32ZRe5+4t5nG7OX0SBQHmoyUyebwbrcd8XcZ4bnAnMlfAtGt7E8HLXKBe+8FmqOU3eO7XUtWfBu4hsEJEcRA1IFINPAjsGxh7JMxuFrC477KNK1ZmvndcEQQwzXXttWDcIixqAcIaqt3c3Y9IsqokBwz65398CpjYgtRKC7SmsM4iEOfOQg/vRX/gx3qL8ZyRbZMi3iKAQLRGVdYBAN0dE4MgpxpDqCYG+Lu/zkXfH9z7o/Nte2xBSqqhl6caJnQnZnXpMJYcZlESp1NxA8J5uiDmjiYECpEhIyT528ioHjxhxXqEuDMwZYTaxETeC4ckayxqmpuWAcLHcWaF/oLPBS8MLkXzuFSf+YEQ6LX9aa55kgXtJludV8mbHv/27guMHn5h7vAHjPFSCQFVAvuUTU57k0KKcFdsXrSDZSbF80wet/6fVYPTZCX+zaRKz+OEylFa1qbUiJDStqFSgx6U1xaPdhnPuWczG7bYFZNFV1l8A6taazOEFVVpLp0MYYsvWxQiCjHD526lgzqGwMdG9CDMcjbF2whT8798+wPl7DSj1ExKCT427OpJEqmWuLApKW7H+C4zOMd8/wrY/6NjzgaffHZnoURTITAENgXPdfxQNLpv0zZ7HEM8d36lTeiD3BMcdRd+i3fcTbKUbNKv7oyX8CfKzBbbBP2tM7ZVVYqJmvRsbKZYIet9jobeEHn/EA3P2x34Yjow1M0rGMJ3mfgobXG6CNA5BJE1aUKSpVfFIeTX1LLz7CsUWDTMp2ODaMBQxSyzcWPws3kgGK0Q/6MprqBZlkjj7wlg/jQ//0IQQbAQblAFnd07pN5pRP+lhQ1LrNJbApBYzzu+qGRq4B4rRngXXboRemqNqpWN5YAw43R9E/c4QnPOsJSG6XQLLy2zZoP/3P+/GuN/6rpH6Y4Il1TmmuLsKA4HZBFiMlGWJUdS2mM3cSyTaQnSUNUTKfzFAiizNJpNBESf5XznQJtc3FMmpUiIj/S4InPv+JiFcC5MFMiVPdB7aZzIYtkjaQTn1W8+/G2OcYI5Of42hUELxIUDE5I7wsrVgvKdEgZ2AWOiOYJQas1vLTxF0QuzBggsgzYLGJpnvO2GbOULMOC79n6vcqTPEPn9nxbdU3Yv7c8tavfgccuHP9Ud5ONt48rlmKdxZFVZfEL7EmBdi4WIjzi7gOgfG45vrCbiSOcyMGcC3mcxeA6PEpT0rzJ3f8/3VsVyB2TEVjV9qIp6xSlRToshaBgL0alQyonUm20eaXuujsCv2+eBoj36/+3G4G7yAw27SUw0uQjhusVWfgH3/7Lbj0Xy/DrfJz1OXJMmQQVpL4UspBmbYm4Ce09jdB4QzO+zLR5pPNoxkm/WPY7B/DvR96H3zPQ+6L1TvR5LPApNtGb3eCcbtlYHkbKcY1n8LWJHxEJLCuCHZl9bpMzPFu0iKuUoRh3+LKBqgZ06U2D6qmUJLNLihuhSS2BNSILqxDcf/bPoXz33w+kkmKQTsQEaBR4MquI/NuiZCJd01fIP6cxemcJI0wwuHBUdz+kXfEQ375QdiKj6Eb1Cg6I7ic2IvXyc6+CJ1YqS2KYoZeltmYZ4tFFWCYrKIZd7jk4kvxmY/txwXv+wiKzRm2N7aQ57l1OcUd7vFd98Des87AQx75EKyfuVvXUNKjJO4wrXMkPfNpIQO3qWoM+wORg07T9nMdUFEwtkNY/BYpgk1ESQsH7Ml81aQsmYd1NMcME5FviKGy2MGCfZRSMowFXGp7G92ewCbNv/nZpm6QxDRxNW35HRDnEslqLinBrjUWjdW9wJZYSCK0nzNWNclTBsECj9Ul4dZM+j3w8GJp1ygI1pA53qdxR4eyKxaGliSMeLNlea24XJ+AUMxCeoeSbN4oRJImKGkcSVIX1+cSGAZ99JoU3ZT+TxHaWSt5PHUNeLLYUjVCjPaWci81miEJCwSQKvnNGKGB3Y6WU3BtNo1tA//N+NnyX54DZec0k+Zosc1jEqJqjjcGX26/mMuCqSu81XtEWio7dSSyKEeWaSRt9xjXfPEaXPHZy/HZT30W+y/6T1x9xTWopgWaAuiHQ5GTtC9oLtsF+s7duUSLL7IuaZorrnHM/evO3527y/FDRN8hIG6BQJzYGnAynzKnM07gZda48kEnW0ndyJTGbDRTbilV2FdOtF1viTlPcsdWuInHPutR+JHHPgDT3lgYC7Xem7JVLsiX15yXWbvr6hGGI4WAW3bik3mKN9vPfkVw3KlIqKPXYkhqjCf0RZA8FWQcHJeZEd0ENzGDNXkV4n3sYqkzYn5GwBM4Pi+csVs7leZ4VCZoibcxT14Cx3kc4keSVSE4ThlPFS9JkrTQdFn26eb4HE6GOc7cn4S3ciOnZ9esCqs3D79p1zOD1eDwqbgXJxwWXd+Xd3l3561Ltv6212XfMUWBaCVCmUwEPvGhm7mFY7U6cHyh2X0qLudGHmNe3aabsbH4FgwFYz2QXRvlEdIZ3ecJhjH5FiJu9UsHjhtByurmao2U2QblU+jwTTNLDm4HjDtdZZss3ghzsUDb3+biQy74WyiZ2VUa+CsneBeULVqHDFCfA+Q0E6W5RxkJJJLGtFziWdF290zMAQNmGN/MZVFkh+uquzRgJFs8oW465WEaAeUEibm5eaau3r60COwEx6312Osc+iDgRj45fweWPrYkSzMPL4xtaveBTAQH+jAYrFq5D9OEkAm1B+0F/HKkygTMgGhzbnd/HAmNCxclMcpBIVBpOBniFU/7U7QXVzgruq0SGxk1UZu9rZUg1W2LOBnpfm1UhxHeIcQvvO7pOLZnjCKbqlUxJRuzYtYUyUSuiCi7Y7IqLODEClZjVAG1cj047lsVDSCfg9POd4yLLjsgImlmBYjZUsnKpxh3FiReNzxY9L/qeEtyKdLWTEJ0aYsyzTUmBFA50MAAhJ1PdM6c84u/g6wICnr2iN3k+ejXAQhisrgQZQQ1OjRljVG0gkE1QPSlCC9/3MsxOjhAyvblJpXeHhPOmsCJxnOr5JUFEMJ4s16OQ6uH8dg/fCzW770HeTZDicJgNRKYKIVRG5s9lBwOe1IjxGmCPJ+hl/L5FGjrwoxz2h5Gs1XM9hd42TNehr3jvVgpBtIUI1vH9jBLIjVH2CrdASnnXtBiEk6xvTbFHR7yrXjwMx+EyWgLk2QbXRqgoFwIDXQUzJnOD3nbPGLIbMJxkk8GHOd4V9Kk7pgBBtUIf/4/XoXm30usjgfSGrAZYd0yNJqdt5Gq+GJJg5I4AsfrR3HuG87F9t4J2j01ZuVUiRxZQGFoUjHMAXphjD4d5osJmo5j3JIR1SOYTIUuYZHxqJOSUsHN1ib+PusyRJNYyeXGpzfxgX/6IC754CVoDtUY1gOMMASxUwG9WrM5vjiByVdxWoccI50lTqmMG2MlbQRdWFLqUUifvP+g1Fg/giOI9yV46q/9AtI790EZ2Nlkin46sLV0G/jg374P73/r+3BGsg/RLEVXdFhP19GVnl1oQDgTrp7uK2WDbK9gp5FnBsiorIGY2qwFkGXHQE2GqATzyXxPOlwZXY09P7IXT/7dp6AOZ5i2U4SDGOOwxJhFWRaImhBZTQO0Gom7h/z5LC21HtM4lfe1jIzVbuA477utJ+zG5sPh+iONTceEOJ3BGWdDIlCGrF4WX6x4ZOan1urvO2tsk1SPmLpyTDeLV3R9hsYnshvd8pnrvwOLOOb6UtDr2yfEbFvqYPKhkGIaB76IDeakmpRMc4YTHGRcwz8CgejBYkbl0oZ0HXQqlnNsz7ebpYK6u4jjz2t+7kv0ImP2VCoSc1JRZkVMIee3ofVsBzh+fKw23+5uGTwncAe8jAO7BtbSDPHhAOX+Bn/5q69B74oVrFW7TA4lJJtrYjEnZUzYPYc+4jhA2W7YttCNELWZGJpEDhuMMc3G2BiMUezpcL+fuT++76e/E20GTKMxwrUaW/UWmsTIIPJQoil0SxM+AzYtJWBuYbE3/wQzdu6Y2Z5kygaQCTIX+l5Gg5sQXV4h4IIrzTAAVwNveOnrcfjzh7BvcAY2D29gNV0V+EM+m61jpiPMf3NFm0UGWioOoWFdVODQ8Ah+6kU/g9vc99bASolpOzFj2WXK3I16DgEq+nskBK0bVFWB4cBkOspJiWE8UsvzpRd/Fm985d/gfe/4AM7efRYwpaM0MOoPUeaFiuJZP0GXtDg0PoJkLcEPPfQB+IlH/39Yv91eTIMc6VqGjckGopisWCMyScNZoecpTWNv8B04/lt9/GuxsB2GcQrHgEwRZWROrWnqwLdoKnZ09VEWJZqmRr/flwxYURUoaSbNrqckUeypriddqh2YYG5VlIjZWaiB5kFVny4a6DeXDXBkJ5OyM1A4qTKk0768G7wPFGNs5cBi9lt+qEhJnajMeUy6hLIBIsfEBvzM5QAcuYjAuM9h2dlVlIwzOLxDNCR8UN6M2tuO0U4CQlSFKiCRmSnz8WgAFLxvTobE52FuXvF4JO6ItOWY41yP1VXH6C2IkecsOC28o1h8Ykes4mnqfCepzoMxP4FxzmWFoSpm8OckaNDoPdSc1rN0zGveFhrBkwjGvYX3tpk2uOayq3Hx/7kYl3z8Unzuk59DM2mUd8s/qeAaEYn0QKIGv9vEXezlQezr+7c9/yWPMEbmPGdDyXaM28W/vvzc2EG6u8Gj/tS+UT08IudaruavW35uJAORIAJ2M9K3ic81RIVSBTgaJm9127jHD347nvvKZ+NYc1jdMPEgwWRrikG2IrKUwHd1oxjYYZ24lld5b6pTe1W3HO1mcQd2gOMLPzpf5LSys4HjKjxTYpnST4orIXmVtOypSG0scyvzUC65ke54g4Ja4VojDSMxmTDLZ9PawHEWKVlkJ65jvzMUkp427FRuvOY48TbfUWYtFN/g4HiErOmh2iwwDLKmDprzBndYe3IwDK4+FePvlEUVXdeFmODbJ1/YekPSpHedhhXClQAVwXEODL/BucCB8gAcTGq4P12FOy8Z4YxlvDkEN00C4zTUQx4gLiOBbwwi1KK71GZll8Wgx9iPmk4OGP+/7L0JmGVnVTW8znzuWNXVYyYgCRFEEEQIo8DH5AQKgYgi5GcK4gSIggQFf4goiAwyRASZIYigKPOgEgYRIUAwhGAMSSBJp+equtOZz/metff73nurujtJV+dLB+niKbpTfevec97zDnuvvfZaZDywa7Kk3njA9ttSzPYYZGjQoozm9bD37MHagTn0Y7KVXzmkhSVL0NloNgtQr8Aw2xmpj8SFLe1qhQeH7CqC5mJcYqpk4o5jHb0NQC5joaASK7YiBcMAw2sE7K9bpfzJQ4bf0j5igC5heSrRePqMra6dBORGwmWjwe3aUZk3UTC8+ikwrm33UhBgWyG1hsnOLj1ElMkRdoFuatLWJUGHJtTS2sfw0OBqOe+TWqM0vaMzcZxKS2A/XcDFF34Tn3v1Z7At24qu05cgt3BzUMK85URIyUBGDD8MMcoPYKW9ivs998G4zzk/jZX2EFmUoKwS1cxNGaT54OdxQ3QbmhgqyMW1VLIlbsoisOC4AkKml2Ea5DIVFPfzjCwkmt04wlymjl1TqvKbDcxmDAMD6wprnPOW+te891rqBZQooUt87qVzzt9WYmdtrDYtjhjWn2WO8xOkRV3Wn5VZMnUfswgYTFM7mMi1R23Kolb9vaaNzrCH9/zm3yK5LEU0iMTYohv2MMkTOTTsXJR5yCKP64rMxP7ufvz00++JB53zIEyiCRoig5y7pWVuhcjzEiVbT/0WXDrOlyXyYoKw5SCMabg4RsuP0YwCdNNFeNf7eOlTXoYtK1vRTzoIyGrWUoUBx30DjrNQqOA4ExEyx5dbQ2x54Il40vm/hsnCEMNwFW7LwyRLEHpk9htzW9ktNZFxhDHLdycDdoPbOIseTS3zjTIanbqHTtbHP7zyw9j9sevROhAhEF1pdlbQWJQAlIKJVhewbAp0mOQmFVI/w3BhhFMedArOOu8srLRX4PQopyL0HGXCW/kmSQogiTWNVpksSpJAo0tqfTOJ9EKUWSnMcwLgwvapPdH9F033NMQVF12BS/71Elxz6fcRpzE6eQd+ogbKKp4hu+N0nrFCr8VNdndwpZSIoghZU2OSZ7LmGJhHToBOGCFNR2KmSimpJE5Qbapw7h+ei+iOHQE06jZvAnADD+UwVVmfxsNn/uZT+Manvomt+VYslIti8su2PGrJJ9UYWTMRcEYcP6U92Jq8quQOtWJ5hYTtyZ4aN2qAHLZ95GWKhgUj38U4S+Cc7OBuT70bfuox90DT4VlDkK5B1QqwKprx1Ltl8ahB0GSyl9i2QS2wkYnAn1GjXE3PlPGuSvs6gnpOsXOFgDJNCGfzzySvt0REcgTvwXPFAv1q1qYFeOmaEe1ecarWdtopG8t0TEmBRHag4wjlEYz5Ub30ENvU+tBv6nFh0mRrFm6hAymUmfcRaS9bWJP5qd1yAoxQxoF7LAvBBCfFh4WdcwqWy9yWXNlUvafvqWeXoTlMb9deunbNmMTErZFRsoNAUagJEQvmKrNiNCan/ivaHm4l6Oa1Lo8T1zY2q7jmHT9EnqXohB7iJERnvIhL3/8tfPy1n8b2Zge8VPtJSiQSt3oidUbZs1DtzL2Byp2hJeA4tY9plU05FoIwQ3ZKLvjYXSyjtSPGI89+CH78fqfD394AWxyM3CFyAi8kLTDWFtNkMn4LATiDWL0leN6wkO5lEbwsQMSiLfdbiTEMMZZbKo911r35ZwJc8bnv4V//8V/QyiM04xJJMcH2ha0Yp2MpnPq8D2PuLOez+NE0SFx2DFXCZC+cFHW/QnZCjue8+7kif1aFuXibaIfhxhIwrkWPhngEaYXp7CIvComLCHR6iSPXfuFfvxfjG8bY0d2BJnGQJhkW401I0kRtBcVUrMagXsVCv48D2QqqrgMseDj/DX+G7WfsQNNqMKlGiNoe8myMTivEZDxBELTmcsuNzaON/pYpf0x/XfeN+bF0VJrR88Wfg7GNLfQz3ikZ1/o14pYWOJJJirqqEYcRwpCSQA6SJEFl5DS6vb6AqZMJ71sN3W0RRiXo7H6m1yF7DONrU2yU+Wk6igXMLQL4Y8bNzGtrtVeQoIggsJHFmfOE4Fkpnc8kRkVAwU5oei5wns1oIJYOonmxxO+lgNAyT0hA8HwMhyN0u1254iLJEREcp+xcE0o+la2msn9LR5ABk6Ygspij685dFiShVSjbuTDHrSFnw3i/BsIwEjBe+OR1Pu3WpoYwQS+y9AVw5tnhuvKchM0smqXcINgBrJ5M7FZgx6KSN6jZ7gPLDq6/8gZ8/eKv4xsXfwM/uOoHyEaZkW3xEZCsQ2nTxkdEyTpi/eabnbCByCutJcLNzjzr+bTWJHQeH5DTa/rr9hAzzHPpUJg3+bOn2Fwn9zGOf+SZGnBcuxD1uapErHY8s2uSkqQksOTI0em2sXe0R7CVcHuEN3/wr5F1EziLDUbNUPI+6Y4nyYM5rnQoW73m4+D4Rve7/3W/N4f/WUxCJ6Du4nI2Sq5tznbuR8TSTKeLSx+RNELQhDPXJdHoU/JoEZXIWqWYdIqBsdEKV9845qjzzHEVvmJxfQqOC3M8Ncxxs+8eB8en01CKjFWEclBIh1yF+kut2/ef4iw637sl5uoGUZWDP7ppGh/D8szkqsm7vCa848QvgC6B4YkYsGn9Wc0ruFmp2/jMvfqWuJkNvYdp+52yksjS5IEs7RMBmgnkEGR7lCwKW6GV/Eg3c7aJyYxmpbkxbbX05AvUsVbAcbZaSMt8OdOSm7pmb/QxKANKK10GlDea3lrHUmBbKl51qAubmkmF9MjBM+ad0l5m2+PNeAgBns+IVXE5YC2AahkJlIOrULUKNRmldIxHqRHVZrT6SmT1zKph1vTF6EFPAYsNPbl1kKDViJrdtxQGJFHm82SCzKKAJsgES8kYp9yADJUFxqfBJLUhCe4ry5DatGQ5U29YnmtI5gQ7ATLRgCt2VVg8sIg3PP21iG6I0K83SUtp5RRSNOn6LVRlA8Ljlp2U9FPs3bGC51/4exgtZRhEy8iaMbpt0lE59g5KMcoRK0hppSHoymdaMqEwzDTLttYKhAGCTMscq+9i5sg280IZwiwQcC6LqSLZuHPGOcpMsFCEgu3CGmdbIg1l5d757BsNSk0buX2CFqhd3y4z6x6wwZyBpgyuNl9AkVzSdnUYI0Q9TrTYQuM9MrWWiiV86Y0X4eL3X4zFyRYEWYxO0BEHeBGd4DXWlbJ3SHD2PaRegeXWMhbu28MzX/l0TNo0l03FYLFsMmR5inbURtgwaYik5cmhNjv3KspUlEOUUYqVcj9acQtx3kEn6SNYDfHSJ56PpT1L6E96CA3jhuuAwCKcwHgZ5LIHRiy0MWmPC+wPVoA7Rnj23/wWxr0hRq1VOG3KlVDuxRpZERgnSM1Mms+FwmcqFrlhcNyUUWhSWKQZ4qaNdt7Htz9yGT7355/BlnRJtNrZdQEm9tL2RbBRuxkk+RLZF7JxfekmGHgrGHWHOPEBJ+CJL36SmHDKOeCVmBQj1H6BsMVgohFWD9lfUndyXAQegwNtN+f+xP0qjrgWDGDAqToErvnuNfjyF/4DV3ztv9EbdoBlIG5a6KADj90giBF7AYqKptXawcE1xJ1XxtAUGXj5Add1UyMnUFHV0q1BXcgmJ0JRotOOsJztR9Yr0D6ljae98BnADi6Sgj2xyJxS7idJBqJtLcnYiG3BIT7yuo/ivz91OU5wToA78dHyOhhUI7gOdcYr1JQLksKD6tgL2GOKVsphlLIWStRY4Y0zSIsbTLKBGtASlI9d7A334pzXnoMTztyBzKchJ00CgUnDAI1j7SNiIkzGFIsqYkKrBWvKKsm2IUAJ5V2M6ZlA8/xiGyr/1LNPAXNOitQAATR3OjbguC3+ypks3S9GH9oGtqZgbFnkAh3MaYNuEBPa2GH1I/ZbhynnH2IUDipxm9doRd1CTaoVa1lz058qsCBMQgW0leDAYjhZOHr2K9NHPTbotUFTM9OdqvrPio5I8dSGA3K22nNw1kSlhX62cZgkSjRvTQcdgZkyzKU4xf+p14CRcjEdghZA0yK8YWVuDJv8EZtRh8g5BIR20G63MVzZh7gMsMM7EVh28c7nvgsHLj2AftFFyHi3KcSvwfdi8X+pSpVQadyJgOY19ZhpulXJaUbbTXl+VeBhWCRwWwEmzQipP0C03cW9fvancMZ9T8fmnzxJ5CXIjslpesc2bBbyQ5dHPpIyFdNXkoFEezsPEBAcp/44j28r2czjht+cC/uAS7/8bXzzi9/C6rUDaR0myN+POiJVPkwG0mJNhjpNFUnioVCM6Y+SKyc4zpyDhI/Mn2DF34+HPvWhuN/TH4hRb4IJPVwiR7qXNiorwP039CPpaCLDk8bzjFknKxPcYcuJ+PA7/xnvfM3b4I8cLPlLyAYpTyK03DYczxfAi+zoVhSLVArlX8IoRIoUg3qMsl3D3xziFRf8BbbfcSsari8ngetXcL0a48kEftAyjh63/nKYgeNmD5rT2dar0cKbvE4WvgKuwpZmrEOvkWaEvCIDXHpflAhRA2VOaQgXoU8ZHu1OIPu6KAsBzskopy+JkI2mEpv6OYpvW3BcpREtKD+VlaPUG4tEI5Pb0qtBLHoMGcLk65IH6g4rsZ6Yy9F4jg0YUYWypXmBwPECNBtykdm5KUMonTrMNUTekgr9NDh3EYUx0mwi99prd1GTJV7QyD5EOmDBq8OWRM2555nRNkcVGRTq/5fIoxR1qxKtXzFArx3R056irVS4M+6ukosw/GFsLj9Xco5IgTLfZV5ISVWeH0aClGcGO4mzcYarv3c1vvLl/8C3v3YZlq9cljVdFAWKjB0g7D71hdwhsqJ+iCJX6R8WBdTQyhRkOTbGiN3OpbUFF47prOAylezhm5kihsqiqFbx/JfOAiU+zSBxOydn2RpjY0seOBYrSBj6cgXGq8PMZnt+t/wWxmUievkcutzJManGcGIgizI870+fh/v83JkYe0MUYY5hMUS33xXyW8XucCEPMVclSYTjrc+azHHOKYtV3Pr3fvwTbxMjYJKAqZyJuSgrn6eFY91/mKsxJxU8qQC8zEOQsJhnJG4NEZREu9ovxZ8h79YiRaXM8UrOfFV7cIXMF40CuLmPhhiNdOyazlzipNzXPMpjUlaFXYqKIXISU3Ncd+VZ18ltYjyP8CLW40QH/7qcXLYJac0/Exynb2A9KtGpSUKoLolOWXiys+R8+wgv45Av3ygqe9CbNU0TYLV8UHr15K1eE546iUIyyg4AACAASURBVMmqIyjM4JM6rso8s+B4YTS++JCPVZI6H9xoayXZnjr5qVEsjtkJwUT+jNV1NWbTWanJjRR9ya4UBizb76kbS8OSRvSwCrbbiryKAjTWQEaXhzFTOYq2QHsoWpdnlQeZMzUUt3Jq3up9CdgmrGhljpOhoi1mxqTCOEJbFr1lclnXaMt+kEZOCZIy0VeirwwDdmm7E7aiGsxIwGXf28QqUik243g0z3795LVtjVpNVxaZ76gJDTXXBRwXcFhbZKhrRmFhU1yfgcJT7TdlIjLZKIUpr9rxZI0zICQ4TKMnGgxFWYTuqIcP/cn7sfPfb0B4oI2+s6gmKVVBW0INmHhdNEZpMkzCCfa3V/Gk88/B5odtxnJ3P/IoETA9zENhu5eUWRGTSjXsVHDcMK6FeW+m41RKQAdZCgM0uqEBFROwXPXmWfCRzd08c7u1qjzCjJWnG6+Z09TLMjI6oqUlXRBqvSltmNOHaN/t4G1lxm6Yf7nlpZpw0bjYm1Bci2g1mTdM/nTOBgQbJIitsFj0sOeLu/A3L/hbnJSdJoaSlJqgTEaOVPQ7pa3Z84VxA7Z3ugVG8RDFSQle8PY/RLG1wgF3GYhqkW5JJxNEpY8t2ATngIvPvvtT+NxHL8JCbxH3f8TP4Gd+5aFI+hnGC6kkc706RiuJEU5ivOoZr0H4PyEWx336sKomOG9GWmsDSZJLV8HxmIUpbudxgQPBAMOlHOd94PlIFyYYdVaR+7mA+dLhYVj1whKn8aC0YyjwqyzojYGTysJ0TQGBBW8PcdFF+p0Ub37qG3FCtk0weL+K4NUdAZsEGOUex6KP0VDzHGpmUo6jQYYx6rgANtfYU+3F43/ziTjhLidh4Yw22B1ZlSqzhTBgf7QxJKZ0YoM6J0RBcDpWMeEESK8bY2XnAN//zg9w9WXXYNfVu5GuZrKfdZ02ulVL2rQZBJNpTtY5GX+cJ6JBD16nFuvs7kszVbp88/7JjGdAHXgd+GGEslStTClGRY0A4+4mB1t/Yjt+5fd+FWg30i3jxtRPZ7JIUIQt7AW6/TYGyRjtsItyuUFcRvjK27+Cz3/g81ioF8XjoBV3UGSZMLWdqkbEKL8WLrZJC7SgR2BcUxuV4yEbhmsuqbTY7MeUQEmwr96HOz3iTjjrj34ZzfYaSZ1K+6kYFYUBMmlp8oWlILr6BMFdmsSwg4HnXEuleAl2C5VWDX8bGllJLqXBmOh+MoGUyhn3TBqYcqxoijDzLLglgpKb+x6yP8gRauWzDOtCzlNbNDYdRXL2kuE2k1rRgJhM/42tn5t7nT9qrzsoTZ+Cv+vSdFPAnY2PiVuM+bM0qVrwbt44y4AjTDIiykqYYEIwa/EmMOesMVwjCUClVrQgzm/pJBJKmQUMRM9J7f3kLDQ4hgn1NKaYfVvQRaAFnoU0do4LNYVjaz9joHXg+Oxcs10NShw4zhzf2Arhc/KCEKPhEJ04lu48jIB20kHx/Rqv/YPXItoXIh4F6DstKapTLoJyDU0dSacJNZMZoPL5ihOB6f5UFiPjNE9iEBZcZf8IKkzcEYpugYEzwI7Tt+G0u56Ou97nnuifsUVktoxXtSi4JHUCN/bRBDxnIZrEQemKOScmhiFO7tAqcOB/duHSr16K715yBYb7U0Roa8EaMdxMDdeli4+FF3Yu1iUiAu7Cgo8Nb1xNu2ienAWl6HZX/Rz50gjP/+sXYbhpgLyvnY8Zu49I7NngBJQcRvSvqYVNNr6SimgU+vELP45/ePsHke9KECY+FoK+akgHIYqywqRJEdBPg3GZSaTCgGeJ3mFGLeu4wbAZwV/0cOHH3genSxmPVMzZnaCGH/nIK0M+2NgUOqrfujngOAsYHB8hKVFuh4AcY4ySjOeGnAM530VqJSfT30FoTBnpbUOzWDKM43Yket3cD/3Ql65UJWZpf5zm1jNwXAuLahwsf3JzFCN1BeElPyJhKPXhU/ecGuRiYmzIQKazm/EzQwiR0jMSa+z2LOk1Q6nQToGKRDhyiYSEIOKB+js8g8sGi51FjFcSdPyOkMzKSSlx7aXfuhQrq/sxGAzQaXXRbfdw4o6TccoJt5Nx8CJH14jdONcc06ZLNvJQuhnSYIIsSEXKgF180sHBMXd8GTPGRCoBSCRCcyONH7hPM7dSw9Kg9lUvnGS4IsAP/uda7L9+Py7/xuX45le+iWu/dy3KpBQ5nDiI0aT0GdBzh/kd9eVZzJA4tKEMiD4fjaW0yEHJPmuUGTo0CJ5GKybrslJvGrXK99SrS5+rYXTBpc6TxF+z/vPZ+TvrCl6fkQncYUHpDa7/o1o88ss6b5U5broZzU+FoCheWZpX8CuD+p1NmGNEFc5+xtl43DPPwsQfo4nYIZMjaPkYDIfodxekQ4WSOtaQdY0Zq4CRRk71mN3/0Y/g8Xc4yhEwBq3zsq98R9tRJSoJ5iNUhUE77lVWxUWURnL+UjZVimFynCk4ntEouGfAcTHINuA4zYKZr1YhojE7+ikfxPluvABF9pIbSoWMnfntWhjo8+A4sSBdwz/C4DjzV4LioxotYnsOvh2e3DsXS/iq4xj2yVFMj1sSHI+q5ewR1Q+yC1AFpyRtsiKpT01DN2WOK9NLQYqCwIgYYxxbcFzrlmrTQaBI3eFVRiUsAjgTHqSaQOtk1IOMkIVWlIxZiBxeRlOcDFsR5FfDNGFwGIBTAkoGHFLhnzWjTZ/hTbGI1j2xacXYBkOmqqxLmmC+tpdZCRbbokbtO2FpCvhFZrFqdHLxK7vAhH6WgTAtClg9cr310s+FOVVFqqtesLXYzafu0Hy+1iBUdecNicLkhLcoOC7nrWGOM7hq2JZHjUcXTuYIa1ochqX6p8ZcNOrg4SkBo2bGNsNWExzDhs9pohqQLU4tKDIOagm6OL5O2aBLRtKKh+u/eD3e8ZJ3YctwOxbLJZ07opWnEhYijMHA0ysxrkaoOg223W8HfvmvHovBwiqG3rK05LbLtki60MCTSirKHjfMcdFQU9BK9H/lkJ+xra3OOhlzIZ9tCrg04WTAR7BcgHFxQYTsITJFRBDQhCwmHpUEsRLtK9GYjyrkQSns+dxjmxqTyfWyQAdv1jJ15joH54M3y3pWQ9G1YL8YdjZsa2QbhrI9GEx60vZZos0W5es9nH/Oy3HC4DS0Rn0BNtkeWjRjAcdFn9kjD0wLCqXbYBKMMewewIveeh6aH3OwHK8i8wgalsJk7lZtRPsCfPnvvoh/+dvP4sToRFSTBuh4cE4O8at/8CQs3WMTRm4qSnhB7ole99tf+E4M/n2ITeMFxARfJOxmgkJQW5NxtjJzDkRMTGhg5acYxQn2tUd4yYXnoTw5w7CzgrEwpFQSaca65yGq4HjjJgJcUv5po+CeJlQuSupQt6ilTtC+g87eDt7ytAtQXpGLfA0B1KDq6hoR/nUha5xzmusoDNtIKA/CjKjKEcYOhukK/E0RdtdDpHGOaIuLHact4bQzTsS2k7aj1VsEfErNlCIPwmRitDLCcHmI5V3L2HXNDdh37T4Ug0qM1ci2CyuqD7ZUuoTBCQ0mCYI7AcpGTX1YCKFBEploNE3Vko9OQNtXIQajtspJNlRdodPqoShKBQxYREGCIspFdufMnz8TD3rSgwVQ9rf6GBdDOPTCYheQ76Cz0EVajKXlvbPQw3iYYKm9Ge7YBfYAV37xSrz3te/DIjahHjZoC9QSiESSPF8B90wya1lFBhpnEsXnRCAgLRMx/PPbHpJyjBVnRebhM//8mcCpFW7IdopmehCG0rLe6naQVIU8Y7IUuDVyjouJMgEhCfYol0N5AQW7hWXbcL2wHZVzl2c3dTKVcU9tb/FAcCZGXkJlZI7Flya3ajys56o950xSaHxO9CjTYq1ojHMj4bhOwfFjc/3HYsxujc+cQuCmSKEnlDlb55J4y8iZ/vu6JFV1X+dY4uZ0sj9jC2rI86wiO9Kw7OYK29IRJ6aIRo9c9HaNhJc9MA0rSKI6c+HmSJ1ezfz5tSZeUbxIitcFvTcIjLeNJi/BcZ73zow5LnIF1rhJemuPg+NHMx85lgWB66iFOqOvBcS8rRk3WHQ34b8+fhk+8lcfRf2DAif729AHC5OUuQulmNu4Pii0wDPCZxGeE8kQOwrjtUGCAskVbbclsGJR51jFikBtfsdD2qQSF2ZeIUC0t+Bj8ylbcNLpJ2HphM3YdtI2+BHPbO2UyiYJyiRHPpogXy1w1aXXYvX6VWT7h4jrEBEilATcqLQbdlSSofbQcsTWWmJDSdx9sr5pPMh/D+A2PJ95QhdSEGaHXBrkGHoTjNqreNQzH46f/rX7I+uMcQADBO0QSZaIufiGv3g+iAcJyTcB/JJGoV1cf/lO/P4z/gDNSoNu1ZE8itdGACx2YpFkHJcTWQtBGAmwSAZ6NtFuJBaGg9DHar4Cv+UJI/huD/gJ/P7Lnoc8plh5g1E9Qt7kCChBuK6HdMP3c4S/eHPAcbKRCYoTpBVAmt1XwvTl8idRJkCeFgi8AHmSIRknkoeQNb5585ICziJrSGZ9Cr/lww0dTHIdPzXAnIHj8wxilVVR5rg1e1Rg3MoE+NIVSdnQKHMQsLOUspNSHNecQj2YlJhjvwgElWSys/DSyVGFhTxT5rgsCvKKeVlyn6WDbJBjS2sL/MzDd756GS76xOfw9S9/HaPVIaoyF0m9KG6jKCrprqX3C8eDAOdd7vzj6HY6MhY7dmzHCSedgG3bt6G71AMoaceuQqYHLZW+ow66eCIJE1zlOZhDsOAiTC1R91OSmBBnAhdZlmE0GGN4YIjd1+7ClZddicsv+S6uv2onhvtGAmKF7LyufUQOKReBaI2zsEaWu4aSNInXwgC/uFp9X+UYCZjzGiqpjqmZPPMC3qPkNfZ8NFCXohFWHlOBcJV+kkReI1np2mSXAeV31hb35yGC9f82m+L6PBV4vinQ4QgXxs1+ucZpAl7PM8cNSVHOb7hoxy0kZSJdu5TOmbhj3Odh98F5r3ghBsEqvJ6L1dFA5nqrHYt+/Hg0wcLCgnRl2K76Kf1E9OG1oGBlzm72JR9/4f+uEZgDx61/n6wL45tmGeSywqXjQLsOmEJwPyNznB04lZHwpewkD7TaK5ATHF9o5ByuvFxyD5Ib+TlEgmRfGZOES3IZC5cq/Ss2bAKOWuZ4hayt2NoM97Fr9kcXHJfnUQVwEqCdCTj+3WB763ew3f+8Q4fyo/y6JcHxVr4veYxzfflaVP72pAPkUYFmPTheq/xFTkYsDfCow3aM9mbePLdIHhCEfGiAQ2BA9FkTXwByTlwCGBbUVU8QAnBslSLKQnDKyE8QFGf7Do1KWFWPaqRsYSeYasBNAcYFuNWEcep3uV437LAP1lSy5p/cVG9OwQH90j/nE0zrHm5lM6RlrGBrJv9UpnwgZkEWuZ552KlZhhp/aJCnHyGsKRpRsZU45n1TG0mDOWatppNtTlt9Tp3OMhI2OInNHZrfnlX4FGQ17HDRh1KtbbIWCBIRALIiUUWg4Ao3NfGVtHGJereJvrg4oNMRPSRbXI1WtQtAtekJdpfpCP2mi3C1h1f9xqsQXhljYbIJUdkSRmvO8KzKxU5E+GkE2Z0aWZoi3Zbhqe9+Bpq7NFj29yGIPPjcNJtQ5IfIjjTS8EZjl4zVUljbql+lgax+89movmpQefBpwMmigJFTcUln4o0RKONcNC7K/D0baE+BbCnoKDjesIUyLJH4GTIDjnM3Ej1X0eG3X4ffUmwyMX3FHHiiqsazvcB2F5DhS7YXCzd8bsL4l3CuEKmIcNjG637jtYj/Zwtaw76StsSIM5VWaia0vE4y/3MoqyRxxxiFyzj3T5+GpQdtwbg3wMRNkNSZBOm9pg9vp483/cEFcK5wUF1X48T2CZhkE+QLBVaiVTz41x6MB5xzf6TRWFrz2lkPH3vdJ/C9f7wKi8O+gOMimyLyIxzvCGQsE1TmfbbYzQDuDxNM2jkOtMb4ndf8Djr38jHqK1hP5gn1zDRIlNNyyhyXdnBxXj86cFy0GRkIBNRNpUFkF4sri7j4jf+JL73rC+g3fYR5G2HVk8ObxQAq/xHkl6JSRXXWCl67LcByUJZoUQ+/LNl0jTTyMPFyFMEEjp8DFTU0eS9karcEYOYmQW1Omh+xOBEGLOAAVcbE35UEJGISwoBWthVlQImjvRhqMumg0dOsyMMtmSZXLKaoTrAWNTUV0D2IoBY3YilWND6KMpXkh0XNPcU+YKuHh/36w3GXh94Z2EoAucSwHKC7uYtxOkHQDoS1hNDBKJsgiNQ4ixruZMFXSYXFeDPq5QYHLt+PC1/9XmBng3jUgjv20A8W0BTazswijr0+4TgLi9UR5ktdlwgDD+NsBCekPnmBUZVg01024QkvewJ69+jhB8X3ES2GqJJazJ64RpJsAjfUQMsaEFkwmYUaMa/kLKTcl0s2e4NWTvkVNeWspDioxq/CtCL0QskZdrEgVbvZo5h/G9z21+w0WhxU3Vyroy4vEMocgQA1X9UYgwNtW7+VRaaSMLdYGHS0t/TD9/vzrUtrIw9T1JtnRs9JDAhWrmegeJRIwdOaFTHp1443NeZSzwWp4wrgbQAFY1irbfdyoGkxbE46R/AESbENu86eOYosHRIWsGD4TT4Mgyvwo8laLFsEiyitosxxQiVTcHwuGRegYw4cP1bx703e3239BTToJkjtBqiTBu24jZXRMjYtLKGZOFjIe/jka/4V3/nopejsCbHN3YQqy6WzIJNiqsqdcf8lxErCC/9X0HjQU+a4xFIOzwYWKQlM+rInl0Um5olklUsPnZOJZBj151l8TOtcZDDE1NmLpIArEoj07WE3YVPKe3bivkjeBZSfZpcYYynuy4GHmrrGYYDhYCjki4CgZd0g9GLQs73gHuxlss95NWMffhrlsTJkbolJmEnhfds9tuCclz0JWXcFzTYfy/UQbhSIJjpj143OP67dosnR7/SQ7GMXXQ/Vvhove+75uO7bu9AiwSMPVEbF9NHxmmluzZiSHZWUoEjyDLHTlj0gcmPkdY6O2xLAbFwPRUJhf7UP///rX4p7/sK9sbfYj6LNuLSBK6zsYzNR14DjRgJqLVCvuRIlVAimlmmJiLJtXoCV5RUsf38ZX//oN/CtL12CXbt2y7OlDEmSpQLy3fmud8JJp52Eh/zsg3G7O99ezncatK1mAymQsyZtwVjLHFcihaF8mUKcwKmmaKiK2npd9FRi8Uc8tWgulxEcJ5nHk+NTzlTPguNG3kS6cigX6YjWfhGPRF4SgSN5Lo3GS6MdzdnIYk/HaWN0wxAfeMvf4eLPfhXlcoHBgRVsa21FLSQGAto0vGRsoft0beQeWSTQL96D6k4rTKzSKaedeBpa3RairQHipQjxpghxp6WGl8xzuP+zO4IsfaeWOT8ejjBaHiEZpthz3W5MCIwPhsjTXL1ufMafaoau4pNa4JQA0xbgmWeJDBelG2v5FtDdaJbTgFVBbpVZYZcHr53kOztdKY+TlwbDsX5MNkxZl09NGaLzx6npclFqhfnFNX9Oq9Lrf2qiYCX3zTjnt/Y6UrkdXntlvWEE9Oe4azGJY8ouEtmZoxJpmCDaGuFvLnwzvM0usk4iMkzqE6flQT4LSm2NExoOGz82DR5UGvA4OH5rP+jb7udNwXGDaRkK7KHAcWGGC+HS1w7E1EUw0c4t8WQSmQ9zq64Wp/NNQEp1BQHHa5FblcIdd6cqEHDcLXzU3IsPAscr8XSbyaqQfGtJkcfBccX4AngJ0Eq5Vzjf85baz8bJ3r86asp2VF+3WFbYNE2/2JM9sbmh/HPU7mLaqQUcr322a/MA4AGjAAVBPGqbcsNX5vixiW40aVLOHpvvRQeoCRDkAeKJagNyAgsGINUkDUaEYSeXrLrUAjSSWczvkOA4gUSCxrVo0rJ9zppsSDsETT3m3nOam1vK0o0+0hkFd7Y8Zu10Co7PAHL9XA2OhMdqQG4G+Ew+2ZYgsjFkDbASRm1aslr1Zq1UvIJKc/qeU1dvsqacQlo++E0dOtUgZ7saATJl5mj7sL025d7riN945fqwM8NEBPZgn0HjygwTMw+acvG+yIrPCBZr25zVV+DtMRbkZfkkFnCa2noTH23YiLwFOyC0C0K7AxiiCevLIQhIoxVubmNxWA/TPj771s/hkndcgq3jregUXbmexMkQBDTac5CXCVLR/lWGwUp7Gfd/3v3x42ffBaPFIfyej8neMfqdRWQ0IiG4KyhQo+C4GAwqs4AaVfyJsMtNTwMZ80HJIo8HZ9JIsYdAOYNhma9CtTT6vFOHcGNEY+eevNQ8R9FXp2ROLmyR3C2kQMA5wLnDsT4kzLCmY3ymG6Xgw2zr0WIG41e2dTJZM8EoAzfKpOSNsDUil9UKQ6rg/bNqsAq8/4/fg5WvF4hGtGWguVEBT5h7OTFTmfeiIER5mzgW7dBRsIrH/d4v47Sz74RBa58YC9FAV0z9hi52OCfhwvM/gKs/cQ22JdsRDwOR6Ui8McbBEPlijpPvezIe/6JfRRMrC/eL7/4Svvn2b2Jx0EeLFU0purGLgkxcMsfJvC2EhRNV4tOOwsuQRjlWwgnOPu9XcNLPbcZoaYCm02CSpIjqlswfNdqVJ66yKjJ/uIkchayK8TxwfdW+JIM6DnrorvZQfTXHm3//AvRGbbSzLqJSwXEG/AR+CPIT1Gq5IfKqxIQa2L4L8pCdtMRi0EdRNNIVyy20pClYnYicCM01UbdQ1ya5MNktiz3avKCJkDWSUnjTmOhJYmdMgokjeDUSasJSm9P3kRL8gCcAO7UsqR8+lfQhu3TaqKqTzmObAbsTeJ1VDid2sNoMsHDGFjz66b+E3l37YgZGw6fcz+TfcxZdwkCYawx6mBiSiU6ghDItom0reqERsqRAGx10sw6q6wp85h2fxmUXfQfeOISX+GjXZOVzrzJac1oiMsC1buUF2fgtF+NyCKdD2fUR+icu4nHPfjy2Pmwrdjt7UHU1QWXrOtdQHIZyP7WjMj5SWBAg3Jah1MCS3RRkI5AhTtmVmP4aFc1+fWNsqUK4oskJMsaUUe4iN2wyTZaPxZepbZiYQgFyq8GqhUvuJZpkza5QAVkpiZt5d2yij7kRO9zwbeDCjvRJ3HjIcdMXoK+wJkKmtV9ARTv+CtZodm7+bueLAcenmbuYZGrcIYA4E15h2ihALiw7WwU2WAD9JLRgb0OVObKFBG3cK22kJ2yBWXhkCvzyx/ytHi4kmR9c+3c9hpEFZC7mKMikZAzkUtqIHRaGOX4bBMctuUCOkaks21qYxZ7Va+fV2nmxceaujWXn3+/GZvBaCRprOEht2ZiyKdzfyOLOc8RhG96Kj6VxD3//sg9h5xeuwULShZc6iJyWtDHzLOXvcK5SsVIMOlUcEQX9FwyhhbKJ3CupqT1OM4Qe2eTK1xUfCE5BKb1nKjcmpvXKihRvF+qYU8rPMDzFBUMMZDwkaSqmfLGA9LpPcYqnTYWsprCpg8D3gaym4JhoIMv7ujGKJkPuDuQevKqvgBKvgzITPoHxici/PeNPnoKt992Muj/BnnwZdewgiGJhsgtz/KaX+SG3d+6jjAVimikOPCw5S/jgmz6I97/p77DgboKTkgMeInRjpHUm988xElCfIQA9VUR/WvV/BXwAO5xkFExmVom/T+qnqBYavOfTF2LUTjDpUWQhFTCCQ7n+a4O3dETHmHalmZhC0hsbm0ypSSKhIex2PsrSQ89v48DO/fjIhz6Cj7/34+itdOEmnnQ/pBklfhzRXZ+kY9GEp1QEyTmMu5/620/BY885CwljqajRrgV2dco8nRUFbZ4l25jRgqI0i259JnYyeUDgRdJVGiYugpT5H2WqqI1t7Bimko6ms1PWjMs6pKyPIpwIOM7rqYJGcgMCnXyG7PBj18BkT4J3vf5d+MLHvoBWGqLTtNH12ijSVIw4+WH013FcSiKqBwxB0RksoPuEjLSVDTWmjczPGRsWAddCJprUUvOS4rieQQqlqwmQy3Vp5hpJYDQAZbx0qC+VZPSE8MAv/t2SzfgzFTxRAprowvNFRtuL/0WgXIkNjMUqAW2pFc8/WRji2VVZM04LjvNP48PD66c2u3QcTXsg5/dH7lb5nGb4DCZfc8iZbVPPeru/q1K9dImbPceOwbS4PB0US2izP9Adf/7TjmjhzL2vPiwtGs5oK2ZvNZ/C+cR5xRxtHIzwh3/+Atzv587EAKvI6PHhMM4PpQBF804y8wtjhlw0asSpsZ6C47azWgryc74mG7uHH/HfMuNqvQ4ORTSZjzFtvKhRo4BKx3YA58Dx+ZWle40pEM7VmESNgF1A9GigIec4hF+y+0llfJlDyW0RHPczlJscAcmpsKDMcSWAiFNXHSCYeGLQTSCKhUr1tDFELrdGwe6cuELeJsZWmKL9THNcX/lD/GUH/UaAvulzWfcalQ724Wcu4onIJF0TbA5+HyeHn3Qc8smP7utIc6nDflrTNJuTa5IXOAPn2XVVx9QiazoEh8lwZHKuFVMCbnqPyl5dv+0e3e0c+W/LAVWptAb1qcksDhIfwSiQQEFAYqoFkBUubZds0zVmlvZQJRPez6S9rKIpCMFxunpPPWztUTJ/wBuDqWlb75Ff+1pQfX5bOny2PX9Aqi63OjpLIkoSp9HmDkq2/bOqpeC/RgEGLLcmkUbzmqGHmLT4DUojPUIdOjXBoPyCIpoKrhtNOwmKmexa1xRz/4eQ4LSb66HWj8CyBvjXDddU9nj9RhaHUioiF6CPTwMtkaYgCKXJOMFxjceVTUpGfB5UyCglIkZbZKqQCcZtjcURUlvJ6gzUib6izICLONiM/ZcM8NdPeTNun5yMxbSFsspAhjoDqLiIJGCbNImwMsggS1pDuHes8Ky3/R6G7WWMWwnCOJJ2PyYO3KQJhrvUIjdmYDlBPXKZCDCKQSfviRrrm7uhqQAAIABJREFUvmiqBwngUxNLZGRsazfv1Zq5aOVDmdmqNDAFCPiIfN53gbrTIKfrMgN0pNKyS8CZrF0G/DRYEoYGaRaGycAAlC2GohfuE1C1898wAA0bi0PPsYl8bV1uyF4p6P5MsU6gHgK7r10WY9MyKZAlGdIkQZJMkBcpSJqqdxXY/d3d2Hf1Kvw0QrvpCMiuusg1xvUqgshHxnZq6jqadtCkPcG9n3Bv3P93H4D98X40UYHCUSPPlttFOGgh3tfFn57zZ+jv62PzqI92FaOiFmZYYRxOJPn0T2nhd1/2u8BJwLVfvhb/+Ed/j02DTeg2XfLMkGGEwmHSQNMOgqC1iJMo41UZhFVYY4ARznzivXGf59wTw62r2F8uIwpbiNKOAJssTBBwsVr+UmST9zBGhBvYPgTAIlvNd5B6iSTsVP1erJbQv6GFT/3VJ3HFP1+KxVEX7bILz4lEDith0h6oLI9XUbu6kQKOBRqmYJaEAwxAtajETifzE5O4EKCYY77bQEvDC/l/SRQs89tsBPPnKRM0a6KnwbWeKdZgRZinovGvsivS/suWdMIgZY0WpYvYnt52sMr/+QP89CN/Gg//1UcIcxwddo2oyR6BF/GPEECZy9+YAFtJK0lSZ0G+BN/Uya8CREWIbt2FkwVYvmIPLvrERfjqp76Kpclm9MqusBFU1iqUP8W4yvWR1TmCtodlsuU6KYbtAW73U6fgsU8/Cwt3WcIwHCAJU5kbnPZWNsuEaDODXnNY2OBUE2fDVTfXz7EjSG8LrAqYKfVW55rZL/Vv5iNusRDiiGewPGtzKEyB7jURrgVm5w4VjcgP4lod8YffUr9wk8nZ+vGd/fd6xuR6AFOSV2FTr8WE7aXPuo0OfTMSm8n4zk7emcyJzgeycC1bUZNO800JE5MwWDDCAmASBhi29/y5YxvM7Vyza3gK6OgnmsvRu6WZ7Ux2ysST5nLXjMdGCjj2tg8fTk2HJo9YRM+Rt+nBon4k3G8sQKPG3lb/9LbBHOdYWmBImVLaETfzbpkvesxoCDaGkhOMBUfbinjEa0JaBUw/jyVf2MG2z5cPQf++lvhhth9iKwbk0f1JC2T8e1gGWCh68Hc7+Ojr/wFX/Nt3sZhugj+gmvcmuXYW0tUKi0CukV9TMbmZTIToKOt7io6xaF2qHMnUX8dIHuj5bAZi2sEw8w2ZrT0D1kxzBF1P06VhuhrIQGWBV9ir0o0mT03OfXpr5O4EURQBaSgJeidqYSVfwaQ1waC7ioc89UG47xPug2xxgIG7ArftIyVT22+hNFJoG06uRSqwkjh7sdyE5StW8IdPfQHqlUbMFckCl9hS2MoWgFRIkfJeHCaOO0NSya04AuxENCaCfB2xwaxOpWDhLQR4wKMfiHNffC72t/dLtwbj33kpkfkpeKP3dZNJ+U1PZoUsuWYa0ENLyFVkFEpnsAFXAh95UaHjd+FNKLNW4oKXvx6X/vt/oVwp0XN6cs8SOdhOFnNGUfKQcVNaToQ9T3Bk66nbcNY5j8dDH/VwMXobNANECxHGk1V4voK0deUgCtrIaQQpmz+JFdrJK7PYFI1t7MjcKKJRLMHxRPW2VS50HiC32uMzmU6JdMIGK8UA/pIvhA5KRbJeSY38BbePcm+Nv3zJa/CNL3wLcdWSNRnTGyCXvo3p13xcciiAbRbPGMDf7Ad2Xil5xIDnB50T+izmz7H5M+tw8+emZ8DcUTQnG6kr+aa/7FrXvW32+nkmt3p/2Z9odGv/Xx0ItINzWniWlWY1yB2RCKS0C9ePBnI6fiTH+Z6Lkl0KcYxRTo8mR/aSbJwgJBWGICALFySquJSUYgyvPkGk/ujdK71tI19cPezY1x1NO4L1E5XIx6smadEJXOlSGLsT/NJTHoUnP/fXMQiW0bRruSZzU/aUWHMpCnKuvUKNG2dPaKPXv5F7/l/1O7LeLJNZ92HdW8zZbcHlueKMxgozopx2nx7DJ2CmwaG6j+yeZJ+ZnTe6lTC+COGvhgjzaHYOTfdMSs/mKDuV4CfsuueM9imzJXEgJf58RFkIZ+whyNvwbQekIORqlk3iEouPRStFEVHSVuMb8fEzsoPHcPRutel8qP2Uc008G8YOglHIDp0bmgWcH90herfjOOOjvbibs4ffrM9oRs32dG/2smbgnFvVpVN3MgHHUyRyMBHhl83QEwETSf51mzfUm5v1Kbf8i7jZUw9MWLm0g2OQQAfacSimnGb/R0mwV3SejdtxQeoD0QitLuVsq40UHCd7nJNaNKlNS5ZsGGazENMS0TRURt7RHM5HMyIStArr1wBQBiT1aNyYUWIlVK1aCxzzw0SSju12VjNTQwE1aaEGOc05+V1Jm2lF/XG2UTLxkk1Q2cA0fZOkhoyG+eR7LrKwi34+iLD3K/uvtF8p81P/27TB1oG5/khYGQT5pRtlDuBXrXGBl5WpJo+WySypKLWw4LOwQh5DQHKaUJIR5InJKLV5CQryXmLkwlSCsESyysfieBve8zvvRfaNETZP2ghrD2lUIM8LhBXVhimXwvGi9m+BxB8h6ezHb77yWejefwuW20NMkIgeHucY759zj+B4JAZG1PtTJqfIHYj8HBMQX5hK1A4MJo5IqvDe+YytyRijMNEPlKIEGVHK0BD2jXxTR1n140Ump1UjIVvcL+H4xp60zOFxkycQ77XFxJAGmZ5LtoSyJxikU2uRgbp1qacuZcBiApOBvBFw0mdr8rAQnel91+3Drqv3YOeVO3HDVbsx2D1A2NAM0hgI2XDanK9+5aJbtoQtS7YAW3M7TU8NR2UeVRg3K/BCB2VeiQYghy8PK0ziCX7sF38cj3zRw3CgvQonZCCWStIWUFcwbyEetFFdVeM9f/oe5P8zQT/vyNhywEbFGOh6KLsO9tR7cc4fPhmnnXoHvO7XX4Ud1XY0uYuu20ZWDyXAyzwacrKYIXCwAcd170gJuLeApTM34aw3nIW93etRtEtUlYNuvijgeE5mose1xKRyft/YeOVYgFTuYTRX4jr1yeBp4CUBTmq2Y/StId7y7NdjadBHNIrgsM3CjeHFLSxPBgg8FtZUj1I6SUxniAWwTIg0ZYSoVqJNUkQ0ZGomNF3Xdi841MkkMYONZnSjqE3xcqrDaPon9KMYdFOmhSZghQTSLjUmq1y0Y9l62dAEK3awc7ITm85YwiOe9Ejc4QGnAT3u6RPU3MvZBWPklBQYp3a9TbVmbb9qWmCKfaaFsxW1RQqmSRq4uYcOjT/rCPnyGMnOCS56/0W48uLvIVlJ0fH7qEbUUY/RDroYrA7gx54YW6/gAO78gDvhwWf/DHbc/URgEdgzvAFun4ZUtpfvaE6D4797TEbgJjUB1i4EgsFTsHAKp80l1lNA14b2Blg064rg9jSYlq5qA8hNtbrXvpf99HXYgrxI+jnM3mwk3WUJyL5iGN/2T9v2rEQ5R0Ez0RallN3hw9BDfe7cFU71hg/3DlNDcbnpta+68fe+mbPBdNcJc7yVG81xxj0KjmtsZeMsBW/nNVC1mHUzP+sWftmNguNG1lY7djRGlS5LI10jNA+xKWGB8/DPjyzJw36Jp4EV2NRXzd7LnB7qsGrewhRCzH8Ls0tiNp1zs+KD/opcd9Jge7AFOODh0xd8FF/7h4uxlG1BK+khriMp2JZVITGZyKc0NQJHzaJH5UgZrNbgnjNXgE+hYMjVKiin92inmAKQesl29U3/aw2IpuCqvo+RxpuuTtMNIaaC2jVla1Wi0yvAUiGmheNsjG64IPHccr4Kt+thJVrG6Q85DY973mOAOwD7y10CJgdRiCKj9FlL/oQvtsobnlncPfw8wOZyK979qnfhM+/7LNyJK4xgPnur86vyVrMCi3ZfstkpEFm0gvG4xDWGyKGjIqx85lFEyQu/hLfk4u2ffDvGW4dYrpflc+bBxOlzWAOFHnx7c80rR3XvCo5T6kxBzJBdAobNzp8nlCRzI5H52eJuwrv+7C349Hs/gX7Tk1igSJVCZa2ibaFJ5CgZq1N6sZ6If47bcbFaDlHGDX7hcY/CM573TOTtXGQC03osEmo060yTAg7jbAIHrC6wi1I6/QwDRoqWlFfUzj3Gy5L3ZgTIVWaFwI2tQyoJ25glT6WvdD7mda3+Wv0aZYteNCmauhQDXG/o4O//+kP4tw9/Hqs7J+h6fTR5g1DMMqnFrt12P7pfs9h93Sk/2+8MHG73kfn9RLogTcHDEtBnZ5y+kqB46IXKgK9rGW8hkwnmUaEdhGLuys5Hx/ckl2UxrhvGyFIlXybIpDPTCfTf4yjEUruHZJQgTw04vYGHyNOReTDPllB6RnRXtabDEmt7wLhOxLi2f/ICXvW2VyI6wUcSjzBpJvA56TdS+N7A9R7/lXUjIIVo4+tk/BS069tmflpglhNuCpDb+FV3bWIa80WrW3uMb/ocsN2OBxe8gjKCvxohziIpikqHB6WuJK4ukLu54IFUHchJmBBwXARYBI8hBhrmIdyRjzDtGDUKCaAFz+G5J/EisYn2RMDxTAiVP3rg+KHmBWMiKeBNXITDGJ4b7Ea/fnl0avQOx3FGRzuXbklwfEeyJ/3LZuD8OtkEBMdpnpA5lFW57YLjprQuC5TsPZq/+ZMAcRKLvIiVFinZvuaq5gbbJ8hGNmQSYRMWIRlDJSpKcFCnmixPMWC04LMOtSZHrAhZcFnbpo7FlzKyVJaBVyCcDSa1BaURqFOtGt1k9U69X5UgMWOwSluUqnXwngjUcKzoNE8dYwH02GpnDDfUPNBowUqioC2B9ms+wVgT6K4bIguOK3tDE21pXCXrsmSrikrEUDNeWOPzOZpsXqaDQYJ2k8xw3pLvT7PNsEFB7Xi6YFMfkaaqoqGuDG5hjktiHKEscrRjGhvWmGQuTg5PwCVv/y4++eqPYvOgg0W/R3s/waOjhsITrrB06aAuyqRxjrG7F3f9xbvikS9+DIbdsZiOEJAj+DDPHI+kxY96f57oEhPMZwKrhkiUBKJ5IYsblDyxEiquBD8zhi2TPMM8phGmFDyMXAZlQAJuyA7drQQE5O+S2cN1TY1yanozNePt52TueIGajFYN6qKSucJkk/+jCWpUx5I0UBoO+4HVa1dww/euw8rOFXzvv76PyXKCZDRmdUHlhspKwHpq9VHnTw9bKx9imNLCKHZQFzWo3ecG4pAIj8E9uyFskMX9h4WcqhFjz6xk8arBJEqw5b5b8YRXPx6rvaEkDg3NCoVhQy58iCAPEU9a8BMPn37TJ3Hxx76Gft5Hu+wIw7esKmRuJjqzZGr97EMfiSv/7XKs7lwRrek0TcQwkjM8lefFckYhrCIxSjUyF+M6hdNxMdw2wHM+9LvYu3ADsOQiSXN0ioUZc1xMUBV8VcafDUI2vnvY4qC0stLMkSZCNFByNyHKI3zlrV/ARe/+PHqDPrY4W5FOSkROG43nim6qBtlGl1IY29pZYTW0Z8G8alazNKAN7DTiYfJMeRjh6U2TMQu83Oj6J8ukoVwQEy3LGFRGpm2J48KpqUk65duxYOMKG43trmxPTrsFdmV7cI+fuQce9eRHIbpDIF4R/mYX42aMytOiqHwbViKfo2Unzpjaph9uTq6D15+lhSQnLAqpbn4grbw0EqRuHaOpepDjG/9+Cb79te8gXc6xsneAySjB1h1bsP12W3H6T56KO9z9Dth8+yXkcY5RPaaEvV6Tchw3PgGO/+YxG4GNnPqzLhyBAvXsnGfemDedAeB6Pk8LzXPguCQnXItzwPha1rZZOfMa3nNvRgYtC+mU65LfE89TysZZaRTDEDKMInsh0io+d+ofLvy5KfDaJlxTEtsRPskp5LrB5SNwcaV+IFNDTgLk7DQ7hCGntnFr7KQM42NryDkPuFg74CmqazpI2InGTklrbmpTW92btSPn4LRx9iCmxcxDPBtlqK8Fxw0tcjpfFRhVxr1+zZ15xuRctGQN21hfoZV+FePy0CRAnLfRdTr4zocvx6fe9gkE+1yEjPOdlnTAsXvKI5OyLFX+QHQ/LONbV4pyGk1xx1zheseC9VNp7RpfC5XLexmgXxoCzYt1TPVONXtQoNhKgonMCz+/Jqvcg+M5SKsMg3oEfynAAW8ZJ93rJDz5j58MbGuw7B3AEAP4HV/IAbzfdtDReI1xzxr2+s1fRPbemOB7+3z8xmOfhXpPLd2RlDegfrbGB5pnHBocJ3Oc4LhlIM6D45S4KRBQwiwvRLaD3V1/+rfn46T7nygSRvNdI2tyiFsJHNfChu4BvBZhjptuFtmdwxhkDdHk/Z/e9iFc+Op3Yqu/GfWoFh4ONbltiUSZ47rCxJtKGj1ztKMIk2yM3Cng9QKsZEN43QCn3e10nP+Gl6GQPScXpiLj1zCMMFnN0Gv3ReKNe01FKcTpGGs7usRH7EglOE4WJMHxLJCYnTmfSqkJSj+VpbAMZSErExynhFzPxziggXkBUFIqy7DJ7+E7/3EZXv2i12D5+wP0vCW03A6qrJSOSpEmpZ/SsWSN3vyp/v/oldMTyLz/PB3s4I+cvXrubyzeyT6s4jGSHxjzTj477mlSpJJ8j4U2T/IqEpf4DKu6FI1/yjQxFyBxRPTa3RppkUjHAiVNJk2K/tIiTj31VDzioQ/H7U84GS//45cjPZAbc8sjHyJZH5xbzPUowyM5HTNwmgo3ohVP74QRJqh7wItecR7u8ZCflCL0xBmKFjm7K2/s/Dnyqzr+Gzd7BKZdWjOylu3I0IPSRBVzzX7S6WcPefmgH25wPBhEiAiOExrkfmnBcSM9WrUoyVshiy04TrxGu4S4B/PsdEZkkJM0ZcZjCo6bTr6wQtGaoIgpr3UcHLfz8xDg+N66X76ydWrrLY7jDG/2PD7MCzeSnx3yrZpxc+JkV/I6DN2zf6jAcSGmaOBL+QmCqn4SIM7mwHGRVSHwMmsh0dYzBYRF942tE1EhZkxi4ihgIgMcZQ6pqZ4FxznpteVNgL9jCY4beRvLwhYdn9KFQ3C18MSkUzTJRZrDyKpIJVCpRRLcG0Z8JUEYTUk5HrXIT1RBIYUCGu9ZdrckGpJ82XbvteC4HY41icY6uZX53xC4nSYJZAwzqKMBJwO8nO2v1JQz1z6fX1kDnSkbVfXYeZ0inxA2oqMnWuoCjqlunUo2kD2ubyYuxWRMEyxm0c/vIBp2EV8d4lXnvhILe1rolz3kJfWIIzHkyQsyy1TmgdX6rBohXmiw3F3Gc9/9Qox3ZMjbCQqvkKqDguM8gMgcV6ZFTpMX0Q9mW7CLuIxkow2TAH7KcdDE3Z5D7AKWaqQFJbgR1yQNk+bCYo3O25xsf+7SAYXYVRNPAnajXS8RPZvhGmrw8DWs3PPzIBI8bbeFNiOqBKiGwDWX/QD7v78fP7jsGuy84npMdg8BmgY2vrRZ9rCEcsyASM2hKIFZ12oCyLa/aQVqWsRZC5Kz5Y5FhJylhrySuRo7sTAR6oYdHLk+NwZfPlkSBerQxcSfAHd08FvvORfjxYloADKw5LoUzURPWWptr4Nyf4G+u4hLPvxN/PMFH8FCvoRwFAvzrC4zuJGLxMvAFuhe2RbzrXGRSLGpJcUQHxk7VGQepVJYaZWEzT3kIrlSIvNL7O/vxW+/9zeAH6sxaScCe4ZZR9hU1B7TbgejLC9agUcnSiXrjIUPGkFJxQto+VzvgJPUaOUt0XF/3yvei2s+fy0WxgtYKPqSTLWjDsZZYphJM4AcbL2cOgpYHqCpqAkwzm8myiz6sGTGziJlja0B8Qw6sCZdWAf8MQmNWPiaguPWlHYGkQR+KIkBI/CqIns8kznGrgwWSCbbS/zsk38ed/mZHwP6QOY0GLsj0fZ2W2wpJeOKbBsrN8DgRPdx2TOtObEBZOSHc+Zc7KCg7jD3J+mWotkxwRgWIbmuadBbA92gD6f0UKySuROC0vlk9nltdonkonueOimSMoHD9mmfHSNmfDcI7h1t8HD8949uBKZA4009v7koza4oBekUkbaQHa9mul4su9YcAAevI5V2Uq17G4NwTq7V5FTGN4upNlYxDVaiY++qp4e4t82K1BawmnbEzbHdFfWbDzs3XtqZacavoemueSgHD+3sJ0oOMBvNBh8lC948f6RrMC5Qxjw/1ZCTCf6sc1ALCDrUag6nAO4hdOQ2eC0b+rU52vrUmo1zYk4WRxjY3K/kWm0xRceNZ8eNfXH/O/yXkVSxcSRfKB05phXegOIcLxU2mXUe6WOjN4WRU5jjaGtIqmwIsWSp2H7bgTv00Xdb2P+f+/EPb3w/xt8fIxi3ELNti7FfwRYfyiuqNB+LPtT5FoKCkTcwNSAFbyyhZO4GbxwcXz8S2tukJa6ZH4Zp4ZsWnfW/zf0TTJLQTr2LpEuPLdidCsvOCsbdMU6976k4+9lnw79djJXmAMbeBEE3kN8jq5jykT5I7uF4HiU4ThPnso2rvnI1Xvi0F2IrtgrAKmGl6yvrW9aZMYKUISAcb8wKpYtUmeMCCnPeCbVB5wHjQkpDVCXzrAbuoos7P+TO+K1X/Kbq+1fzeoA6vjcOMZrXmC3o6Ls2dE4yHuB7kYch60XkHimJGKGeNNj337vxkt9+Efz9NVpVjDwr0Yv6qDMdHyupIsxxU4wUgJwmbj4NHQukdSqwYR2q+SVN20++84l409+9CavNqoAn9CWhMXiLsjlJoQaFlH2hxOWcCbB4EEn+yuumHEwIn35TOQlF6tMkMpties7Bmp04M0o5Y/VGYhSavNZxhaDDrtAc3bqFN7789fjCP30R3iREL1iCW/poygY+53BdmJrmxmU5NrTf3aZ+ab5cZC9sfgfRIp/+5OAzTnIa8VgSFypDQFMNevE94B7BcLNgTO4g9JkV+bKWrJSJONAwz2oomyKLVuRDV7JltBZjLOf7cfIdT8aDH/4Q3Od+98Xpd7wjmkGN8557Hq769lXoVAT1CFAf+ZecfmoyJPv4LJbRs4VvO2zGYr778LMfhnNfcC7yiPabE5Ea6ix0kBeqRHD86xiMwJxcio2lLKFhGuEdJBuosaYC5HrObzwCPPp7PjrmeCgSbXEeISgsc1xJiNw8S0918sVQk0VDp0BQq4E093spSlrmeNYVPzljuGOY41LuQiOyKlp8zASHPM4c50gxbxHBudQX5rgD70C9UL+mvRi/0VlyVo92dtxy4PikOXm0c/J6Z+g+lk+fzHEmCjTJuK0yx2V5MqBxCGN54hrv0pgko0ZsS0x0JIbj2WH0oSWhEcdjlaOgTAw1xsWIk4whiuYTaOThJMGN0eQ04LhtT1ubHN1ij+EI5wNlMHxpcWaAyqvwCfaQCVa68AvfgOQKjotZomGK205arfDqRqfwseptEhwXE0dhj5NJr0mMYupGzmGaJ6893g4Jjut5ueYgtAmSPL3Kh08Qn4EdgXEGd4UjUjmSvB8mCValF3Vlp26vfBvddILkvG4+S2FoyvVrUkRgi1+UavAZvBepJDpRtIBiX41tzRI+8McfwK6LrsOmZBFuSpU2NVMU8FXYGNSECzBMVtFp+9jt7sKjX/I43OlRP4794V6gC1Slbbk1gbJhjhcCjlPrOUfQuGjnbcRphHAciLGqUFlkBxE6Hw3o5fOoeG3JhsytXJ+gn2HH+qWYH9WBKXAIW7YWw0XH8xCF3IBcAe0YULeiGGWWo0lrdJ0uwjLGgcv34uLPXozLv/LfGO0ciRkh5SRofsMEm1rlmjrUcAhsUq+LDXUC+GmSWNWF+gDwIDFgjbbfq/amFEJkLNUckQwCMrjZwhU6TGepl0+UnTfIVsJS17jvCzhOzenUzzHYsorn//PvId2aIC8JjotOD5U80fha0GFy1wm6wKqDfrYJq5eO8NaXvh31TmAh62AT25MnbDXsTuVlqM7etBtURYle1YVT+6AdB4tEpT8WcLxbtMTgMmH3AM1C3Rz7unvx+L94LE76PydgJVwBIgd+Hgvrima/wvIiOC66p8ao5yY1iw+/JSiLkdpmQBjGqORZpuhFMVz+MHPQchZR7XbxnvPfh5VLDmBxpYNNWESVaeButQdN6m5T+LkE1TY92+du2ukMIKDODPOlrkNf7/QVa+Sj6QFgyz1MRq2fgRYkjQiQzKuEngARHSdr7B/vQW+pg5/4P3fDPc++L9qntlF4DVI3g7/oyz6eVAnyKpXEnBuk7HBk4NjPFx8hR+SYjIeoufAZyC+KLy7ZiMoS41kgTExzqAtw5LFwA+STlHZr6LU7oq2fZCnavQ6G2QR+K0RSZcjLHIuLCzJyg9UVtFotU9g4wm3/+MtvEyMgMfQ6rdL1F3aoY2sGgM8zb+dYaNNiu4XfZ4DLvGyFzMNq3ujWAOAW4FEUTk27piC5SqJoDUhbxizAK5/G/Xoul9d2bwVW5n48vU2eoxsRhjpcQjwbrzWQwpq1aQEHieOOQtaO5wW7v6pAfWaoNV5Se9x0m6ih8MxnwzLHFfw12tTHMrM3oLMYaxvDYzWV0hiQ3yzkida1uQ+tAVpA46aX0Y0xx3VCcA83M8AA44zHtMOygRuorMlUC110e+yM4llI0TLGbpSIMLCyMMm1+l82Jdqyp7KlOYI/8dF3uqh35/jMez6Db37822ilLQECqSPOsrqbE+R0EXtaWG0obSfPSf1dFMxWzvi0oGBm+KHA8UM/4hmzXVcACwCEvJU4Q7oA4zaaVPPwsJ6yco8sqspzaESWxO+6uCHfiXQhwd1/8e541LMeA2yucMNkF4KFUMgdPIeKohIZgsAL5O/SeEiSw1Ewx9mZRd3sL37wS3jLy98qnXWUVfFpeCrL3voWHBoc1ziukWKSguOai5kSCbzQRZbTtDQU5jQN+OotNd75b+/AKBgyYZnK2tjZeOuC4wY4NsUu9YIx3bF1iIYkiLGHc3/5KfCWa0RjFz1Kpo0TLVIYoMjK6ui1W+8GIPQ8JNVYijStuIW0KpBUORrPEfNJdqxf4ijRAAAgAElEQVTc/cE/ief/5QuRtlLkYYaoE2CwfxktnwQMGmtDjNwIhAubmF6wsu+bDmAxh6PXSQCPPluSPzkmf2JhzI6o1cTX9S87OnNHv8GI3mJxAz9yELoegszDM856KsbXjREWbQR1jKYkUcBVv6I616KOTI9jlf/e9P71//YVM3B87dydzWAtCCp8aP9uXyvMSebrIpBiOialk8EUF9ktbMaX3mpSKKk49ixQ+GJaX5WZxLl8f3ZoJA21jQv4WwP85APvhkf/2qNw57vdSeRU2PlLydm/eMlf4pvUkK9b8FLdKzf2pfOJdyBdu6JpThITi0oOsiZHGuVYPG0Rf/a3L0e8PcKwHkjXd7vVRpKQKPKjXFzZ2Kjfcr+lGIae47oPzrq2Dj71NC603Yi2i+6HGxwPRrHohvvcL2t24mjxmgEFCYeUQiloqEm55XXgOIvvURHBHXsI096NguPlHDhOryvu4dYc+FiGkLfcXDrydzoIHG/c1bJfvaG7uf1qZ5OzcuTvuPY3brFTqZk0p4yuH73RGfm/ZMHxIsqF8XhbBseVPUvAwoVDxnHqKgO3iLXt3bBvRWdbXfSmjsfibB8UkhjJd1BKMUCY00aHZGZQYJmeplpmdUqOEWtcpwFZzxrEWnBctO4kQfJUTkUY5L6yyGkSZ1gRNt8V/gddwCULVoMeYVIFJSoyx2NlLVBfe95VXeQIpge+2V/XzeZDLvr1ALlsFJ4A45RREdZ0ZtoCqQ9pWrinDGSlJs1Qdsnv1fhA9NIJDE8BYmWSz1p/Z0m+bEyimcnkqURTsV3Gh+Nw7rSwkPVw9ee+h7/7o/dhabgZm5ttqIsGE4xEZ5tfIh8OR7SbqzxF0p0gPrODp7zhaRi3hhgFYzXMNGeP6PRJMkOZE58qIiJZQ1OidhojTiIEBMdFK9+AEZy3TLLM3BUZB4PwydQOFWCX+Roq258AeeFmYvhEvW7X88QJPJ9UcMsA7aAnsiJNUqETxch3T3D5V7+Dr33mq9h56fVoJTF6VR9+SnMfujDTXFCd3mWsGcoxYZMuBVWa4xiTvc01RSYDAySCh1WprG8xejMsR9FBNemv5zBpypF5qTAeZLCKBn5FbpRn5iSTTMppeAL0ExznnNzT24XnfvC34ZxKfyDOgUZYuWQLg3rzjRodhn6Ectxgyd2GeDlGfT3wvle9Hwe+vQftAy42YRP76iU0iIMAuZtib7YHC/0+orEmHYWw/QsU/gh+0wg4zivMKCzCIkRYY2+8F2c+61647zlnYrWzIlqOHG/VhlRt0yk4bkApCYQ3eApIYON6UjDwgwAhE+jREN0wEj3Iioarfg/Viot+0sLbXvhO7P/PG7CULcDNfWwKFuBQRsfw2gghc05pf80sTLLpjwqraFKlDbsU51G+yDTZMvcyfzDN/33tvZIho270us8SyBZF96lREDsKOD+8voORO0AaTnDPB98dD3v0Q+GcFop2d9mnhvxEtN+l64fSN6GLIPRR5oXZ722Sb5aWtFHrt+zs6x4C/1MYBIaZL1I9nvob1CxwGUMVFlDCgOw5VR0lXk4NXOpDhjENYLn+VIqGreVkC8ru0dRot1uYFJrYHP/64RsBC47f6JUfhlisZ4IaOusOYLURrUGlYYAbMzw1S5qj+ggAw3Ne/1TAm2xUnbiC3bKiSnDcGGuqhNAMDJdpeCOTT0iQ69fFdDEbpqVhSh7p0+OtzIPwB/2++cfpUT/3ucpYsnGckYQ50gsQH5BaO60kZuC5SW+SQsBx67EyA+BVVmIKc5gN41iuXQWdTbG/dhGw6Fyyg9KVzjMSIkRyxPQK6/yxcLACxjflxbnWwHVd8jFXGFLsWc2bZ+C4mh3aOEu3dVN85NElmszSzyzgOD09dM81xnwGZOZemiQpNi9sEcCvGJbY3NsC7AX2/9cB/NNb/wlXX3o1tkabEYw8xEWIvt9DlqSiaS17uTHpVHDcdkLNCjs3h4G8NtS3JnrGqFXWswL6WjhhtxJl7DhRtRoloLgR0hIwlYSdsMb+Yh+6t2/hCc/5FZz4wNthgP1wlhyZm1mRC0DG+I1rN4paQtrJixxxK1K2/AZPEJnPBMfRw3/803/ggpe+Ga1RS8DVhXgBSUqT+lmB7iBZFbFs0g4oxt8WHFdrPqXbiCUQWzJZoPAarNYDFAsF/uStL8Hp9zoVxZwXlJ1dtxY4Prs3a0w3099FE8Kr2F3Yx0UfvggXvOR1WKg6CFMHZVOh39uM4XAosntCFVElKu1IoPSb0fYmeB4FqqtObejcyBm61BMPWfQfouk3eMaLn4l7/cK9kbdTjIoBOnEkkjvMObjCaZVjY0XGXoHs63bOsfjJ3C6SWNVlNxALRCQXVdwHbDCjHaRSejLNpLL82LlJEhQ7qKlj7UdoVnP86s8/AVHCMWjDoXcVKS0sYjFfYozFNas0yw3svv8bfmVGHFk/d22SKnPZylPMAeWadlNekbuRzQH02Yhppi1Gs1jNedA0KBh3Sncuc/4GeZXBcSvJ8Tjz4n6ME884EY9+0i/hjPvdGe4mD5mbSkxaDDNsbe3AG1/yevz7x74CbxwhTwv0nNbUP+lIn4g9Dwnbi88V/a7E/JNrpJZOSSw6ePHrXowzHng6Vukf1dZO7WJSCMCvBZ/jX8dmBDSTs8VdZUxYmRSbAZrcznTD2K4Yu+aPJn+9Je75qJjj7LYZRojyEH6ucTTPZWVLVRIH5lSSaFXIInbulOI5xlXK1wk4zn1RZFXIHGd8Na85bqTUSLqgrIpljosc33FwXM3RKSEcCHMctTusF8o3d7Z2XuEsOAeOdn7cYqdSkzS3G147vsAZub8omq6dDD8s4Dgr+EwGRI5DjCgD0WAj23XexNGC49omqJIqWZQJMC6MW68UYzthQcieYTU3remmASyPcSvJbNLMAhNNZBWmUiCSraVkIVODnG12+k3DRzHhMm9Cgi4PJ6lkmTSCwCfZ4jnZrh0G6TS1U1kaMmGEfW3asPXwPzg8v1kHnlw+tZtcA4z78FOjGy/MaYXfNVlSiG5arLBZs3QE0Fm4QslnGDWa7PqEcJW9s77dS4NDTXRdMs6rQkNcsmVqXwz1wtxDvDfEBc+6AOV3KpxQnYKgCjDCKvyWhzxjW6EWJsS0L6+QxGNc37kOz7ngOejcu4dd2CMmKLx2zQl5H+rvrSCgJk6UwYlTGslSM5DzlmwRA04SHwY1vNU4UTQhbHInci00G2RhB5JoMclngi9FHjJ18gm6cUe00r3ER7vsUWMIOACMrk3xL3//Kez87rVYvn4fek4HfacHZ9zALzx0gp7MFSZnRVPpNyVZOFkobUGx84zs41CBc0lA9ZkywGNSZAEQsk2U2G2Zx7wvDyxJ8D1zh0WpQoozfGTUcoy8UDSnbW2abH0xQuUnBQ12d3bhKW97Itp3baP0+G+UuXFQVBkCmnjWObzAw3iSCDPcKyP06j6CMaWXgA/+xd/jus9dhfZyG71yK/wmElNPz3MwcQdSmKE+OeU0+LQLp0DuT8R4o1MSHPflejK2YAUVVlrL2PyQJTzppb+OweIqJkFiWHozzUcLjrMgou24RxMcMtD0UVSqO9hpx0CWCUjOZLqs2BnhohcuIhyHyK5J8OFXfQArlx5AL+nDGxqmnbC0DaPNMFeU4TZbxSpHpCvSgspa5NGWdf25STft68wKtsxSE/pPty8+WbLiJP0TzwFladqdSGRs4gZjZ4RBMMSd7v9jeOSTHoHOGV3kfE6LLsZugsxhIahE2IlEn75kpwQTgowBuMq2yPuKxNDs4rSTRHdCayo4NaMxe5okvXKM6FhYsIhzgyxyFo+o/UolFbaQk8UTt6n/6GCwMkKn1UMyzBAFLdkniiyX4prvu1gdLYthpzWEO9pg4Pjv37ojcOjg6+CTz56R81dnwXExhp0CvSqVomC2Ab+p9csisbC/bdeWQukCiDMxFRKzxjrmuJvqLU/NGC0wbgpC02sx8/yw92L/4aAz3kiKmALxYUf+piLUQ0lWzv/OHKlNl6rZL+fA8psVaxziAkVCLq7EKLAhe5zG3YY1zuhBQxsTc5hipkYkGnwctkPu1pqGUzkIdhBobOcZ1qjEwwTIKdpmOwZVh2sKvFjd4Y1erj4OleYzI6JAkMxplbFi15eYbkqcycRxrm2PeskEVWXSUn6Omp/s0GoUOKa2hxSPKGnniOxZlhXwfHaqRagmDXpFG3EY48pPXIGPvPWjqK+tsbneAn/ooYWWfJztiBQJRWPAKLxveZgqI6aMOP061JSdAbazioBoVcs5aVvNTewtBVdl9tr3kh4RtxGfD8YpCDwUnQq7vF24w71vh6c9//8DtgNDZxV1txLJDYKpLOwzzmCBg/Je7MpLCxb9KzlH9Fy7qUV26CfMO+Y+0ypbuO7r1+O8p5+HmHJzVYx22EaWZ3MjYhiDegqqrAqTfLJZqZcskh/cp0wXrxl3duG1opY8N4LGBGHH8Rhn/c7/Ze9N4C07qyrxdeZ77xtryEwIY1AUFEISEJFBRBC77ZZJu9Xu1r8gk8DfocUBWhRBEBoVkGaQP4Mo4ADa3UyijaLMCA3thJjQRCFJTW+4w5n/v7X2951z3qtKKnkvoRKsF8uiqu57955zvm9/e6+99lr/Bo954nfrbOdU3e7YaO9yw1+nB0VOv6r93tb1qEnvaAH0Ymg4aj/BUrmMpzzh6dj4+2MY5wkmyJRTbJdz1VsicDgygV9b8tB0Rr2++c41yInIUTYR0DkvKBdI0ksjY9Lpyhwvf9uv4+ClB1Akc4wmCabbW0jjkSNXeM8hA2coC+l9YSxfYp6TImgTBKzzJEsZIC0DxKqDB0AYGd9mZSE5RabxzF9LWs8HDdImwrGrrsdTvv/Jyn9H7QQgKz2ItX+rmpSQ0iZGNO23t/V3+id0W3/Fqa57+Hcmi9LFDift56/KYqTJCvlpdtagjNmWDVNG00kz8Lxhr5tayE2pPLdJWyyiOb723vfAQx/6LfjWRz0M7VKLctxgK5mrbmetxue51izjT972fvzmL70ewfEYS+0BrGQrmOeU9t2bqapJuwgqNO3xkIB9qWnghmoxywEe9riH4Yd/6odwpLkOWG5RNoV09JfiJeXnSM4yx8/UKreJQRe/nNG4b/D28yC9dJ3Vf/36tnW9l7nBW+6KT38OeNLJyVGK/lHJNEOakxBp0nMNg7cDx4mtEByvxjWKkakSxA7TUHORsm1VgmAaI1ssI2VNPwTH/aQyDTnJHJfmuJNV6cDx/dhp33L38Uz8JE+YpDdctj2mp9+0Walet3z+8vOC1eDofj/TLXYqtfP2kq3/u/WqYBo/8vYDjhsjlfqCZEljYEJJM07pw3IHe5zVjTT6m04AeJHNNU4bJEzIa1TOfHIIjlvi7BlKrjwaFmr7fYr7+H5j//hul3NZETvR5CvIwCWjnr/EHq/s75gUM84xSWJaS7zTQWRivZApXrBQnITS7SYrmwk5O9W8qQRqBRQND/+bcR1dIcJOOFnCNFJdxAKIpYNK1pteZNbxppHugGHHjBPfjmabIc1sKtQZxHQnSEwgs2mZwFkS6aUT1KenkYxj7pH7Spat0T5CgVizzRlWR0tYma7gvb/yPvz1H/wt1o8exjKWMI+3EJLxMVtgKVtBFMXYmG1iPV7HLNzG9aN/whXfdzke+NQH48TqNnIl/o1GblggyRiUKtZ0o5c+o0nIxFy7ORkfMYKWrHLTKuclMxGOazKwHftVF27jPxWvk2s3JTjOJNckcKSv3zZYikeot0qMixHidgnNFwt86s8/g49/4FO47nPXSYM6o/Ep61D68bSEuvkZrHngNTVVoroDVHrNLqFjMeT3h7FSqIbi7aeUsrtV4bsZnhNB4DxCiomAxyLKUQWFVCol/iOTOHFVus62VABkhFoDcYDrlr6MJ7z8MTh4xUHUaYCcbK2wRVUVmKQJmrqSQVc2HmNKUDLK1CAa0Vxx3mC5XsFfv/2v8K5XvRurs3ORzilHEiBJaFY5I0UYE0z4pmKOl4Ex8pkQjjniLXC/0V7Zrmco1nLML57hx9/0k5ivbmEz2RTL3ScRBqgYyEwgg1/7AcfFWKpaZKMM03wL2ShBXRSuKI8FItD0tVzUGCPDer2G8LoQ73nVf8cn/+iTONgeQsBGAeOBC5IW1oaMmGGJ6oEpuwav2mpNKz9u54ouBwz4p+/hk2GI0LiwA3j8vZF2rAyPCVqVaMY1Ln/45bj8UVciumOMfFSgXW9RTSpsFRvSHk9HCfIq10SDPPbqWixvbwhrnnFOSqBj8fQasGK8dcWsYH4reF1N2Y28eraV6JYNgiZEWo/0DMicoQwsCwNK+ZDdk1Dyis2jIEZTtFZckm3fkO3D0dMadUvZsr0VJzcj3J596a11B3Y1t04uFdxaOsX7E1QTuNatP1uHZINLC99NgEnfXjgh2SrOOFNHvbfD9k185wPS5Su+4WSg+46JK48+yVTXeY8MP6PXPKeOqdVA1vT04cDSoEFydQM3uN9OJ2lTmqzLKb7PJQf6XH5QzOcZA2ICCzkSGfbaXCJYGoxDMyCnFJuXZWMD2F1oB45rsmUn2HnGwXHFKNN5pgwZc16C4+bZQl8ESiD42N43Hbur8GtiH3ujB389Q9Kaqh0Q7vIsM2/u80W9tSb+eLI2Oksl+UcpAQLkJC1EbHZzmVXgGJSIGTFztwYFw22cYIQY82tnOCe9ANgEPv32T+GDv/+XKL5UYi1YU27FPeXf2/dyvA5z0BhzvSv7dwEAO2+Nb4jYJuDZzc/JTEZTHAS23L6lvKEaWK1TE46NcLJQrlojJMFircZ3Pv07cY9vvzNmeY5mUqGalJg1MyTjGGVRqAAnqCrNeJIDmgJBAsQTNv1niPgHd7bd3MfIz8f7Hs9j4NoA/8+//n+QbqZYDVdR5IWMqDkN6Da/n23ZAY7zmelpE/AXE8wk8yzbNf+XJEnQVgEWTYE2AbaTbTzhWY/Ho3/gUchHC1Qx36P/6hsRN3xFpwdFTn83TN6OzX2uNXrC2HQfyRBJNcI4X8Yn3/tpvOTZL8VoO1X+zzyZs2kkUHCigb4pPpRKVMfJBrnyUD48dd1gxNwzjFBSFpCZb5TIEJ6vY0Nuc7SJQ197EL/+tl9DMZpLMzodp5Jzs9xlwPDsJhD5/jbd0xLhDpi30zg8FikqKUKk/J0eVCr0rKAQs1eycsz5LcZSM57PapSNNFF61af/AT/3jJ9FVo6QtiO0IlRFNhXCcRTGXZKxPMnn9Lf7q/IVuxs4/TSCPzaNX+2oUc6Y1/5NEp3yITJDREkSsQnW2fhCDbDtcluNwmAUYFpvA2mLu9/zbvj6K78e3/QdD8Id7nyh5FVGyxm2q23VwdOgRJha3rncTnDNJ6/CLz7jeai/VGO5XkNbMaqkjKT7AMdZhrFW4s+IEFH2EqWkXdKDGSYXTPCS/+8lKJcLlOMcOeaSSMzSDFtHt7C6sipZ0702t78qF9RX8KIst+mnfKhzb156LilzZ6ERhnwD2BMV+/W91+bsLXGppz8Hbhwcj2epZJhTYk41HSJCxUW5AJAgmnDt1pJWIT4YNjZdpF4j6z+B45GB4/KBsBpU/nCcmOJtc4achZjjzpBTeJs17v+lrv9TgOPzaql4w+qFqz8XrAZH9rs+bklw/I7Hr954TZaPHkHtqOQgMAunt2lZFd1c6W7GkqIIPDjepAY+7cYcPBCj1U9DlAIVA3dSqHtOORHpBbpRZyXU3nxgAP5Ystgnymd0cXfgdJ9SWtAzBpqSVZlcsnCKZNoig06nM1a6bxNsoxlq03lmICCQW9DcMgPazO5PDY55UluMUhd9f/Gm3gOvaSpgnVOXTOgIDpPxzyBVZALHUbmfaA45xlbmfJhGyO36NKYaziWHU2UB6qxFQbBc5jUseshLJuPaMbcFJnB0xsZnrG9iwY6guY2pe+OtBsvzZcw/keNXn/xy3LW8O4Ip0MTGrmBqQaMUlkBMdMkEnzfbKCYnUN4xx4++7adwZHxcLt3zfBtrSaZoeKLmmFuMCUcg89AMR1nAETxjEksDT4KubrSO1zni+bVoUOfUUA4pZChWPHWMwyxSocXnw6FNjm0SmKPGYZpz3GcETIHjn7oOH/yjD+JvPvr3aOcBJjE1xjOkiwzsoKqBMJixNjIU2ccM9lbkcUyYqRt1FDk5wPFSOg+aQqhRAJVC0xSmNdZY6ooAApdKHHVdHdqixhZXFRsUFc0WE0smyRhXmkhTJKeqWbHYIkteh3iDoytH8fiXPxaHrzwHeVKjcHuXPyssKmktxmFiY6muNhDbic2GhoaVKcazNXz+jz+Ht/3KO7E0XcVSuYRo3iDlOKxGSG2VVAKybFyQnzAVw8PiyLydqz4tVgpcO7kWT/+vT8PKfZaxNdmSlrpAGBXLVjIaY8v+vD9wfDCRIE19Zxg3kCUxQx8bYeQ0zXqzjmgW4x/f+zn8/n97B6ojkYxVkZMxFMuQleO4qBqtIRl/OT8C3gmy3mhWLJC/058fSD5wooR/r+kBA6oVbt1kiyAS3kM2pCiTQ+JMGiGnBE5SoEoK5PEcF93jAlz24Mtw6YO/DiB5atKiGpfI2X1PKW9TybQorLmjjRFugJaLGwOA0Bf3VpD41xqzUUmOY9BZnLBkqh9rdY0erwPZvQfjik3omGyOrQ/GFl8KmYySmf8a1mYj/fzEZNyrwaS2y6kQwv2mBme//1a/A07Wop/9GPJqnKZ3F+tcMbGD5emZO9YI9OtPhTJ7wjwL8trOJPo9dIxyjzhzLfm12pflOzieThrbgzUn3RNDX3b99RDR9pMWHrHelXJqsZ86DfU1lScb8UzoshSn12JnTp+7aAd74gHvL8F5r1HdkRzs/XjGl9QwZo6gj2Hmc6fVyXZXq3PF6WMTGFPu52LbTnDcNf923aYzDY7bc7aijjkEgXFJ0zGfYqHG2KQCraMiCBhTHPKp3n4riFNOPvWsev9s/TP1QKKahGGDMiHQ1iClR46cku3500OCOstITcotlLQcTw9jn4upqPwkxygeqenNqbsEY8mt/O/3fwYfftdHcOLqDYSzCEv0VKkT1ItaUitJHEs2JKXkBeN206CqaoE9MfM5fr6q6gwNu0cvE1F3T9W4sbyGfiryOJc4H/+jDF2rc42N/3JcYhpPcSLcxOrF6/iW73gw7vud34j6ADBLF5qaI1BGAN03EvR0ZazqmlKKN0Z8kLm3Bzf2AY4zP2s3WxwsD+KxD3480g2y6FIsZUtY0LDbumJ+hsK3jTvmuMBxkiF0lpGoRBcT29PWFiAYDKQhJcY4KVahGBe458O+Fj/1kp/EVrqJMia41n99pcBx1Y6ajGSNw8qmkEZ+UAQyMx9NJ/jlZ74If/+hf0C7FWAl4tRlS89D1AQEOc3pyBvKa+gB0DWBjDzkY3FHHujIIgZMpWGGaTNFsNLgRHQMz3j+03Dld1yBeZYjJ1mEebnqEvO+4hfzSa4TRv6Y4VtxjGcBc5EYIRtlZYysihFu10jZNOO0qGOPK1dh+sEUjPkX6+LE8nVOg9Kr6y/f9ed4xQtfjnE9NglGap/rqTL345vSt4h5DVnO+w0it/pJfau8gUKo04H301vm6sUpD+vqeuNazwS3O+ga0m5ylOuPPgJN7SSyokhNKZ1raYON4gTilQjpeoJHPeaRuN+DLsM97n0ptpspphFjR400dNPwYoJEqAjcBWOkixThZoBn/9CP4/jnjyCahZqMVo2p3NmD93u5RS2yJFZ9YaPEEebNAoskR3Z+ip944U/gbpffFXmy0B7vpGp3vdVNxQ728gnPfs8N3wHDz4w05HEvYT9cn8zVnGSxxTDXBOXfG7ikZp+G8/c4uXRLPJv9gONRnSArxojmJCcaydYImDYRxzO2SAsUMtSsJfsa0UCc54XUAEiOShHOYqSzJUlYea8UqwPtHKyiAuVkjnpMsN2k1aS84DCWf6nr38uqZNUI4XGeI9Fins1/5+DF6z9xFhzf5+4wlhULAUpxJALHoyJGwu65RhwGVZCqJwOjmJ/IqDAuUK7kkqGwCRNvHNSbY1il1rMie6det4fOtMTKSeC4K8KdVIGMEGWcGAl0pr4P9b0NEDUMWkmSyMC+YjKAvOQv6tBlgTGTCZQHhF+pQ2+glweRTvso3fitL2IZfIwZZyacUUGndZPE4TiwCR87VJvMcWnG+6KOv5NlVKNOFtIZrsmaTo2ZLX10MdwpR2JgqBUYBl4ZQG4JXeikaKQhRf0jAe8MjDXG+QTLR9fwq098BUafH2GtXJHLNnVGsiDTz6sbJoss1CiFUqCOTmDrwCYe9V8egzs94lIcZ/KPGVIC6XGIYpygLBqstiMkeYwoN6Z8UDNg2kFjjELe3FCag2ngVRx5TwoULaWAAqQrIwGVeU35EGNd1WWDSbSEKA/QfLnGn771T3D1x6/C9X97HZaxgtV0DcWskilnFo0NnO+6x7ZhPNBoe8UBDmpmNGhd5zRRChihUSJnDBgR8FsriLhjyJgt21IJt1juHL8lUErw3BWkPGBGSYZ2UavpMk4zlNRmbHMsJRNdv/VxKS5j7CuyillAHl05hsf96mNx+AHnaYSwcAAHwfGIiR8BJn5Ggtra8/Zc+ZPYFKGZHY17l+bruOpPr8Frf/71WJuv4YLoXEQbJa29OkkXMrBZfDTSxTaetY4/jmq3/EwN5ukcxycb+PYnPQL3+b774Gh8HeolY/KblJHJqOheOZNZA2v39mVQa92tb/6pctqtPLyZmkfqItVI01QmnNVWi/XwACb5GNU/13jn6/4nPveJz2N6dBsH0wPI8gQhTaewpK64kf3M8E0jtWyYtYWehYoqAu8qBkyT3vIKuyLfFdfvLBrJVooM1OC+qbn3klSs61m7jaXzJrj3t9wL93rg12Fy8TKwwphD06pSjS8C4todsrwAACAASURBVBr/JYigMW6OjNr4eg+Mu9aLk2cZygjoXp8CHO808T043gHkbjc4ENQaova+nrNrr5DjswoOFpG6YyqMBYMrDkl0SPHSNedcUc340x9Ue1sHZ7/rzNyB3mjQn7m+UHBMbiUcPF+tEcYFoKLZFo1iE42zu1zFFMDsrJKUSiCjQZERtc49UNYDVqZY2r//qe/EqU9pxXmr6k/64mfm592tOS0gZPiGu+SX/PluILeB28PayZ8wMrT2+8kxlTyD3faJMRopxdDJOzmfEI/18hzI44WKmCEgftPBcUXi7nNYfPAMZ4vLw4kYf6P87bopIN6tuTIVl+kHQrN15lBstpcJEj95pxvpcjpdGy/IMVDdhzdj8r2dQNbvc1JV3YU6qGzHj9y5wLyOPeVTaPjO+57WBCqtaWxgKxTj25QSEIydJrHC0QmZXEoKo9HZYXKJNubD+5FhLKCcpIC//YvP4UPv/jC+8KkvYLlZloFWO6uRcmYtmWAxXSCJUnmk8JNz1J/vT8Z9GhMkt/Os+8VTzU9NMpp7eYowUiOePitc80VNqDVHvBLiWHUU9WqNO933TrjiUVfijlfeWWfbdj5DvexkfbTurGFr691Ngbg1aLfXnaNOssZetR9ZFZPGi+YR1hfr+JHHPAXbV2+LpJKQVFD3k27OmePU4HiXJdHIk5mhkSUEpLJ+aDgZkCkO0qRvK9jCxZddjOe/5hdRrC1QJF6+pQuNPkTe4PY5PShy+p3HOMt2CnPWnPqyQanJBNZHK8Uypldt4xmPfQZwNMB6eg6iJsGsnEG5r9eUd+d9B44LPPbybYNN0JGsmCfbHpSERpvINHyzOoZ5so0Lv+F8vPA3X4j5SoF6RFtX5o7UDiermN/Xal8w3+XBYNrjlt+SPc66iMx3TpFk9AuaQqxI/lljwnw2zBEdczyouIYDNDHlUoz8QhmW//WOP8FrX/YaESdCajZqStJANO1BEJw3X4t/ueA4Z1oo4WdGpX4SyoOJvNdxECkm6L6zUalzjUabDYrG/AKYO9MXalbN5JdDZnVJfyOO/0yA+z/0Cjz6cY/G4Tsewsr5K9gut5BwcqSeazJ5tDRCW5YoF7mafeWixfrkMPJjNQ60K/jNF78BH/i99yPYajAKUnnmcPo2IWFL0Mdemxuc4l0gVS0cm9zlJMBWtI3H/Mi/xXf9p3+FYpzbBGinZW1r2E8f7/HoOf3mPvuK094BTy5Vc82TQnXWOr6OsJCB1KWOWCOmsegSCcpNeJ/2zW6lF5z+HLDd6IbWdnwKYk9pTlPaHhwPSFpyWBib1WzeExynISel9zpwXNJZBMcTB44va0LH6j3Gf8plenA8FzgueZbEmmNnwXE7t0j4GYDj+WI0f+uBO6z/2G0OHD9x9cZr03z0bbcn5jg7/+ySExyPCDaSHc0OUFcYKIO3/N/wRiXbGttPclTLZCEWVvc4QyGv8tXvpJPBceu39mDLrbT3b96P3QWUK3kRzk3pBANho5yFlIHj/HunjOJGhn0hZd9Is4ySSSCBcTLHUzIWqMnOEUQraoZl9w3WWQNXL88c54XRMErPrXCGoQTtfWHnyZQKxL5xYQWrDaJw/JbFE9mmlBYBqtg0jH0xJS8kp9VtfpYGVxlAZSkBDVH4RVCRX0o2dXjXAk5XZwfwibd8Cu//9fdjbb6KNEiQBQQaa6RMNCir0TZKTuOkRVtt4sToOA494hL8+xd+H44kWwgmFYJ8ZnIKq6uYzwqB49GUQTkzZj9BCoKFLk8xHctQSRMn39rKsXWzEHXSajw3b0vEaSQJibAMMEaqpsKJ/3MCH/zDP8NnP/AZLBVLSOYxgjkNu1LEKgQTY903taRHbJ04A7hOw7IXwvBFGNkN1Fo2VRUejkzw5qhaguGUj4sNCHcMQQEgXEf8j/uNqSSlJLr/WmmyE6BPZylWoiU0FRlRtekgSgueTCQDgEzChAyrITj+BJxz//M1LWCjoUxWjZ+r4V6nRGMa2gYECFR2+tPUDD88Oh/BNQn+4QNX4W0veRtWjk9weGuCzLPWneY9pwPaZuwAFZMYaptS+tHUY5+HC8yXFrjwygvwuP/6OGyGx5Ev5wL0WbCoOSON7V7jeu/QBEE3HsSlRmsJZLdtgpLNCu5byvcElQYn24INihgxjUnJMmxjqupjlGeINxPMvrjAn73ng/jQez+M6kiDtXZdRkyc4lhLVxGI3Mxdx1KAWpmlWNvUkR9HDA6WDrC4EnDgY6mMediosphLliafvzVdTMbqgkvOxdfe52twz8vvieTiVKAByX/0uyhkltzIP8Br0BobzRmbOnDImAs9CNRX1lx/1sH3gJsZxDnTtG6GwZvFes3YXWDOjmLXg+P2c3QtrtlhY7EumVSTy5JOG1fc+Z7dYSQx3oGw8s2L+GdffQbvwBAc7/QYuwkzK5b1n4+tDnD2q0s60TSfdoCgc3SzpazCpDfQNDNFn+j3+Yg/v3Ub/A8eLF87MR1Ic4pGvhq7pyiO/d9100RufH93GS0GpTeLdtN0nQa1mqXq+HbsZSfPbGxd7g03AaI4qAkT9w6DeN01EE0kuuc8cP/JRG4fkxdun3pYzgO+w/exW9trb/pbfcbBccmO8ew3UghzOwGbks0bxBQHpiqP8gvFRmZOa8h5o9tLTcNhc2+gT9oVpK6Rc4r10wHg+hm23ilTYUQN9848OzitpKlOA8l1vvt1FRPoowcJ6cmU7shRVLlynEmyBMwDSUO0xxpc9Yl/xEff/TH83898Ac1Wi2QR41B6CM28kZ45ZVokfeWaVFEYoSrNE8M/c5qNa+qpawKz0evymoiEkkImeJxGbcYVJuePcZ9v+UZc9q2XYeWO65gncyziHM0ICFN6g+wcb/XTTNak8c2H4VMYbPLOJ2hvzQ13FTrnCY4/72m/gM/95ec0xcnmHBn0mtzQszGOqf8erzkubxmXSzFPM+Y4z1xnPUrvn7pC3KZICNy1NTbaTSxdMsFr/vDV2F7eQpEsdiyzm7KvTg+KnP5gMEnOSA37WTNHTWk0Tg4QHM8n+OwffwYveOovYrVax0p6EFXO6cwSWch5uso8bdzkpAkJeeNVA//6aTb/WQayVHq0EUbRRBMKNbhmFjiKo/jpl/0M7vvoy7EdzwWS8p5zsoJ7g/eG4HjOphI47We5u9e+1wSs6r0YKeviRYjEEaMorSIDVTZwfJh19Q+ljMR0Z5OqBd71W/8Tv/2atxhZqU2UTduxZMYWIpiIOe4Nfk9/v7/aXqGcV9RZgLHC6/D5aQF56Aguk+CO6ET+e0QeimJkWYLjs2NqHGWrGRbI0Y4aXPoNl+L+D7s/HvhtD0S4FCJairBVbMmqitrwcRarnizKCqNRhiKfi5yUxaY5H+YJDkQH8L7f+VO86gWvwmSRaZKA9bCmSdlQ5gQwX7vH/JPXQm+nWTHHOF3GvMqx2W7jsoffF0/5+SdjdGGGWbStes17n2jKUo1NV8/upwD6altQX+Hr0dQ7J/Glhe8UE1zawPgvQgbrVudrQ3KifFpUyxmDWvHz9socp3xWkSFcREgWAZImQQeON445npSSVClGBo7LBYAEQAeOZw4cT8gc54TOEBxnYGCTX5NjA3Cc8ZPa5WeZ42fB8VtrzzNZYIEptnieChxnYkPdLstmLc3qDKu8hmxEeQYbyZWsSuR19byekmXnTPqsVvNsmJ3FrtWrjml0a13kTfy5Vja61HWHvEBjxnE15VW89AyZBNSZZhLstdRFA3DFqbtvTMR4sMvsETJ7ZNJPgNKMq2wGdlgwnxIgd+C41cj9q2lwGU8JiKfqQGo82DMkDM1yE53GDuL7memNMZppoNqO6bJOU0oyKgjoG/gm7UD5XZopZC9rYGAAQQEVY26Mt4is3ZFwbNIxl5IqQ7a9hOzaDC/4/l+SceMa1mRY1BRkWZAtSwkUjmRSzoRMjhxbyTY2Lq7wo6/8cRSXlKhXFkjCCtPpFNF4VfqLI7LFt1t1Lk1/2hmH+hvoABLqGfM9yE7gBZGzS5YHMmPy8oBjgswc7cufuhZ/8rt/gqv/6moxgyf1GPVWjXE41vgmGe9lRc4AAXFX7DATFljsdZedeaHWnWM8uNF9s1+xYtfuFk2WCkRkb5F1VVJv2UaOpWtIkDsBZvVMAHE0CqSXJ+YxNfFolpnnOJgeRvDPIc4JD2u0OokiSeVsLDaQyU3d8bSl+W3jxwRWjq0cx2N/7Xtx3pXnC0Cl/mzJqQYBw26yoWvMODBAI9CuoAgbzIIFmhw4P7gIk+kI//CnX8Tbf/l3sHpNgnPDg9LEE9tbjZYEQbNkI4nsWBA1bitJ3TBWLLgKaPB2fomnv+lpqM8pcCI7LuYEWUfcKx7Y73bNfhILsXhyFU1pSe2jBCWlSiLoPUk7DcsCGdlhBPbJMKIGJkvXptQY/jnxYTQbLLLGCBcBrvnstfjfH/wsrv70F7BxzaaaVzz0kzZCRh1v1gAEvNtKxdFiOlfDhMy7MCZLn00Mcca0V/OmlGxKOIplmLl+zgFccrc74R5feykO3XEFONdJHsrAB2KC0gQlWApMKojmPowzTjSZ7+1a+46p4xqh0k32QKCPX17mpAfHPTt0KGUiLF8SKV5WpQ+6XaEuxr/9fG+EZZqzBszxN4KcfBZmkuakVgTuOJajQCBjkUsQQ4lp2pni3MRQf/Zlt5U7oMafk/RwE2ZmxOeAcU2Y2J8FdivE285vG0o7WVJu5ryWZ/DvhyYpnd5jd773zFxF4pNw4YEwtmNg90ijZzTau+l4laGu+7OXPema7CaN1H22Th7IvV7+AIUxdz2aqUDpQFjnmaFd4zBSXaUDaVVgkVWmKS/3LmKH95+P+v36rP5aHCPdv95Yef3nv7lLQ8CnHog/H7qftgOc3PGvu3KevUGTN/eTnvx6Y45HZry5IDgeIy1SlwMPsjLmqJy8G1L+O3DcMse9fA0ncWz1urvkpy19Dmcor5ue2PVOLidn7mbpnuVkCqs+nLupTjHJbbzO+P4ytmQeaHIWTdwgYF5Eo7p6gUWZYzymZFgrkG9UZCqGqU1+9PNH8U9/fY1ypc0vb+D664+gXBTWRA5i1GUtabfJZEmMT2N9WjOBOSz1RAkcs3lUNaV066PVCONzRjjnzodxl3vfGRfc/XxcdM+LNf1EAgcN4zndSHN7nWtVLSkzM4N2p4srmI2h58k3bnkOpMK8hwZByr0+P2sANRhVIxzID+IVz30lPvSHHxKTnDGLUmzaf8oNLfcbguMmrWZMf8sACY6nLjcUlUEyhNq/VYAkTNGENDufoz3Y4C1/+lvYGB1Hnp4ZcFzXQ/uahKzdOcKEPiABwjzC0nyEP3jV7+F9r38X0u0MQcUEJUEQmlxOQElDLVDzxPENOr/Hdj67fn8N6yO+fxZPMCtmWIpSaa9vx9u46/3vhue99vk41h5HlZrMTkLNedfII2kpZ1MxYL1ioVfyUD43bwmOR2I1piKNRQgWxvKU5IcDxzUh0ZIkw8lci6OcVIoC4A9/8x34gzf9PoKC/k+UNrQJTMkasbZS/uLB8b1Ej9v/92jVc9pcxCaTVLJZDuoWu1+cziYJiTkf7zFTAU5TEZCkdFRTIswCLB9cxrl3PA9XPuQKfPPDH4jVC9dRtAvMMUeQBvplE5f8ZVMm7FvRsJdMcO618TiT2SXreja4jvzjMTznac/FsauO42C0Lj+pssoR8cxMgbwobL/uAxwHY1mVC2gnaatdBX7hlb+ASy67GFvhBsqYnjqcEieIag0E1Qjy3uI62kf4uv0voTN6BYxFnBQxcNxNLZnArPIK+V1IT5evsUlAPjf+oqcbs1+t9f3UsPu8A6dvkt4wc1zeEsSeSBxkE1GNXWJiRv6jJ4rUJQiOj82wPWitKWngOLEXxxyfUlaF/i7mDcd46c/0ij9jPEPtmOOUJj0Ljt/OmOO3N81xdr0EjqvzkwrIIeirzerYicrPqe/Dze6ACoJoTVqhGpXSv5N+m0vglTC64s4SAR+9dwLkTB6t6Dvz4HhXuHWRwnX4NTbdSkeRya202XPqWzv9cbLJ1Uywg7dHuU0rj18qCihdKe3xBjQVoMxBLgNFHxwH3+oJbMN6awCOD3WtWbCkWyMkBVmvFmwYrA1cGugYOzkcFgxec5qJRU3974lJbUgyw4MV7lqGVoh9/efBcXs/jvIy6cuZJWq810xu+BnCOsUYq0iPxXjzc96I6z9yLVa21rTWlqOJNOKkOBkDRbCQadSoDZAn1J7exLc++ZG473+8N46GR5EuAYsFR9CWEZOGv6jlJk+nXuoJWnHhq0G5WlrNw9HeikUgqekAvXBqPhJqBspJFbj2o9fhg//jz3H1p69GtEW2iD3XpWxZgHpOs6e2QpYkyKIIbVEj5Dhlp7hu/XwPhXuJCjFfmfTF1BykmRCbE0z+EiRBipDu5O229BdVa/MzJpT2aJAHlVgQ1NuMlkPp5S0dHGH13CUcvvAADp93EGvrq7j4okukE/q/XvQB/NNH/wnjkiN6DbZwAukoRVVQ29nGTzVSGpGlZZMLRwWO/zucc/m5dLiUuVcV2n7mHhcpVwm8FRZmemNsDgOqG9Qp936IYCvG4fhctMeBf/zjq/E/fvF3cWixhrZ2jHo1EFKEzZJTqmfSx+aAJccEmXjoFSixtbqF73/xv8O5DzwHx8dHUcSlJjX4ZWvVFdpWjnTAzM3OEwSOlzaeRF0hGrmGvP9sEjnN/brGJM4QlGxeMLEJBCiwmcDit5lVSMnqChPSoqwwDJYR5AHKYxX+8bNXYeOfT+Daq67FkWuux9aRDSy255qcaJsGoyxWsi9t8SjCaDzG6oE1rB08gNHKRED4gXMP4tyLzkN0iM2RAcOVTR525sMc4SjShMocCyCLEKQhZuVCrC5jPHJTWgOpc1QnsEctTbGXermTPoZbE8x2lotx3R5zAcodFT78dSRYD7j5h+IwJPHQXajkmmcjQqmQ0xZ3YcSKSXkHmH+AjZFaFytk04KNJclnnAXHb/a6vw19Q68ra81GD4wLtNSYmkmisMAgK4+atQqWBCbYCCSwKa2pnS1mncAeeOrA4uFrbCxmB8vW8ao9s9VWpj/Xez6m/1+W2vh94ME5B+84uadO0mTACrfb7yToUmv8dMihB6+tm+hyJB/m+qTAdCvpX0CJNvv+7l8Hyi1eotf/29C+yJrbe2e+GQDpNdddvjGYMuzvXw8r7yRK7B2WvCWWsJp6/I963ZRno28LjbdLesr0cVa6uE5L3TO0fZPG1t1ewXF7aju/e2ee7GV5fAHdreD+gTp2Fc9GK8DZdBUYKBTF5UFMTpiHuulPm2ysJMdF0Ik5As3n4jhFNs4QpMCC7WrlqSXCGIg1hcegDcespd9Kqj9jBmwe38DR647hui9dhy/905dw7MhxVKXFaeqr0lgyzciATvSeLIIPrK/iwDlrOP/OF+LwJYcRrkXIw7lIJOGEjhIFKnr0SEaIZ3CDuja91jQh68ROJ2MZO08Mx8gXi7zr2/STIzaRYh0mf+7taT3p59fSGD9YHMKbX/pbeNcb36X8kbrsTe1mNPcEjlNkgRrqBeKYOaeTCQRQJBWmo228+X1vQn1eiUU63/Hx+0h1w1d1elDkpt0R5jBJEqMocjHb5ZpTRCKXvPw5v4ZPvPPDWKYPTZUiCjO0UYSizEGaShqSWb977zj7ReUd3pjeTwB09CX34Ww3UI6HjRICqAvKRK03eNlbX4bJHSbSqjfmrcsVpTnOyUAzkuU+50/xYLzAWSdXmdSmH0+DXiyYIzKPpgQeZT1slIMtD14Dr0tfpcH9f/C638M73vwHVh86cNxyKX4QwvAe2NxJjrppd/2r41Wq2WInrdlQHsUAcTtWTXaC5BoSRxiDi6qQBCNNKbl9Sab5xgfeF5d+wz3wgG++Py6+60UIJkwZauTNAvEo0muLokCxyJWjJ0Eio1xJHmkTRMjLAiEnitsKVZVr7+Yncrz0eS/Fx//k4ziUHUa5WWESTiTzUtWVAHJODstkdY9fxoIv1ZCsqY3ebOLJP/1kPOTfPgTVUo48miv2coGadJz352E6ZLiJUJS9HT97/NRnv83fAbVkrSPd16Qa6rXmGo19OdXtzXwNc6mEwWiCmzX2nrOHW+Y5nP4cuDFwnCTRTOB46pnjbIC6YUd2ConlSHN8wuY7sQKbWmcM5k/uZVXIHKfglmGJHhznVZrm+KyTVTkLjtuzP5Wsynw0/52Dd1j/8ducrMrtERwnq1FjEfNUQKMHoVSYOSdGHv60yZFGLnPjIBcopk7OKEfFESM/suz2rGcq+cLN05htvLZn1942wPFBYdfJvVgn0BIZA53DisHApGdoYCSN74qdY8es7MauPYvYEZrd+LLA8XGFRVogpyRNYBp1XZAdxLuOSOb/rjOnsb9g8kCW02hjou6d1+kz2RVLpD2rXcmfTGcosUCWONnsBmwSqFdzgwmfmgGeSmfJid5riCmocWJPk8uDAAXB8QXZzzSGqmsk0nhlk4VjtiMkWzG+8P7P4bd/4S04f3oHTGYT6Sxn0QiLupZmXx3PBY7TsZjM7iPxNib3WsEPveY/YnO8gXK0kOTIuFwWAJnPFsjCTFqAvM5ORcZjGUy6xVYiEh5zbg9V3gJlgDizJLb9MvD21/0urvmbL6I4usAKljGpJxgrCUqwtZjq6UejRBdbFTmCmkxyHnp+HNYMKw0ct/WiveN+eZ1wabRLP0/GCSrwinqBliaJoO4rDwGC4gWCpQjn3+VCXHi3CyWXcc4l52B0vituCehQiSOoURaFDqK0nuAdP/pOXP+RI1hvVpGGMTbb4ypw6QdKbTAe0vxiQUwQnMzzI6vHxBw/dL9z0IYlWh7YcSXWNPXHpXHtfQk0IubtZ6whwoIiyexZjKNltIsQaTPB8vEYf/4r/wuf/P2PYTlac0VFaywLJ6vS8JpdJcFCIwzIrqGMSIvp2ja+7nu/Bg996kOxsXQUeVxYXJLRmLHePdPSN4L2kipYGWaOTC01r72EiOtZy7BJc12NgAZpG6YRFk2BuZNDaMoKy+MJKjpj1sDaeE1AerFVYowxsmgCbAOYtgYskKjGnIiAgmvOnDQ6YqhNT4BlTux+ccpCoBT3MuVmllpLOtJQEwWzkgyuCEmWoKwrhFz7XQpmo8te99u0vs08zaAHK9o8YNPLqfgPZKmch8u12l1s8ID3jlDhE7/ha5wGu3TOlfhYAWyguVeAdkCA/A1sXehLQdE07wMZWtlo9VlZlb2s/jP/Pf5c9bIpJoViuuDWiIvQ5Nx7Bt55U00tOjcOT67JqYvDAQO7K0CsihTguGvdanmdBHTuBC4VL3yz3xdFSvbdjuE0ltc8FqDKA9IAEWN7m1+LvZcVVGwwdh5zHcPbG996UKgH/fpiyhs79bIcnb55R05w1+T/PDD09Mm1aV727PGbqjdueQHjEJlAdgIO8zofc3pGlQObHUhlOcptYQ0SIDMvGea/BMclsUIyo5Icp/0uCS4r6HzTRtdwQ8vvZlzasKnhQ/VuyEwF4+B+dZwT/3eUUVMPySxm2TASOF46lN9NJGhisJNHJJurUv5FDXGeSzzWCP5wqpAygDRypkwBQfK84bRXIBCUY+MNzW4rSluMlJtVRW3gICctKYFAQ++YzdeBZ7JfaroeNsXZJKrEBm84FRdaPsQJN+pTGJ3AyWloaiQWGMo1682q/Vrs5INOoeN+8uNwlJj9rEGRSSoZdZM5/u43vgdveumbkOYJRvFY+uuWj/ekApdRG1PamXKbrIoVuzHIHDcjQgnpRTniJEbAPLeNxHylzvxmtIGX/+7LsXrP5TMGjvscl5NvdAZnzkx2eNSkGFdLePF/fiH+6r9/BAexrpyd5zTJBwQVRbRWrdFLpdiad42LLmZbU97/5/MPG5Mwc/M0TlEXJhdJuYtFNsd/+Invw6N/4DuwFW05zWYXblydw7jFv7GpA4tlll8Ym5tmc8yZSRYLi1gAeUD5JefR4hujInkRHI/5O3PFVobsf/Rb78BbX/87SNuRA8fNJ8iODRJWPJlnV8P2ZsSN2/tLdS8o5S7PpcCkVXgLGX/cE1ce25TyXiJhJx3FuOQul+Cbv+Wbcd9vuhyH73Qu6qhBRICZ/4nUQ0Z5rufJGokkFkpW8r+maNCWRmyScbAjXrRxgPlijnGWSe7z7a9/C970394oE9mI3kEV41kgn4WqrCQNJL+sU7Q3b+pz0a4nMSwqsB1t414Pvjee+2vPxZHyeqRrMabURk88+O68LixT7vJurqPbxEF6Uy/6q+x1vjXuSRCK4QTGKcnExhjJlE4SlOuyTuzM1bQ+JbP8JP8Zui/7BcfZ9AwXIbI5ZVV4dg3BcXpR5DuZ47BJHoLj3Oya/JqaISfP0RsDx4k35jQ+Pssc12o5pSHneP7bBy+SIefR/S6pW+xkauftHY9fvfHqLB99++1Fc5zMcYHjsxDp3EYmCaS5O29uz0y4KZVBmMgxxwmOV2mJZtLIjZaAWwd6O/6usQ9P1hS/LYPjvkj0ci9e51aLpA6QtNQap4xJjKAIBY5nBZFK6tAZ89rAIjMD0/53qG1LE7y0RrFUIR+VmKcExytpBunY25WkD4nofpH6sUwZLjWNnLSXN1cEjks3Us0Me38magYoWD2vj0JGLMewE+qg1xo5FNMitrE2A+kHJmL6C8cf31XLmu60XWcVBJhzJIw6400l1+GoNpOReVXhcHoQwRcqvOSJL8bKFw9gfXEAVVlgFExQE9wKKOmxiYQJZhEiDFNMw4WBt7/83bj4oXfAVrKpJGd5eyL977yspBUeS1qBBClv0mOgvalItGL5lgU1NFNj0c6B4uoCH3vPh/CB//HnmLRryJoRidNIKshMp5WxTorRaAmzokTFMbwwVPIW836UldTvojBG3hhUaO/e4xyC/ZLKgwAAIABJREFUIdU9aDGv5iaDkooCgJKZPP991GIj3gZWQhy64BDudq+74tJvvDsuuNsFSA6PpB09K7eQrWQIkhDb86lYEElq+pNK5MMG46MTvOFJb0bxmQrjOe20MhSjOablNsIgQUxN8makNgyTx4YM8aDAkdWj+J7/9gM4cN91VA3XgY0vE4AuZN4VKR7wsOcz9RMSZFYXHMEmiDVvlDCyaKvqFulkguS6CPVfTPH6n30dstkSsipFTBkEmp+1YxsNxFzguA5JBhaydQI2GmJMV7ZRfd0CT/nVJ2H78BYWyUIMNT5SmdN0gIwHR/cWxsUbaciA55itabLa34VIxfixwocFrpvoNDMezWMmSEZMBhrMptsq0KgpP9+cCRhYGTGpJosqQMup59w8AsgmEIrhp7mtZ9Fv0uGJ1nkPcv1xfrlFyOkCMQBrGZUWaSUjLBLXyZRhUcCCnWx8xgmxcZwEkJJq9oy6UpPr0TTvPDC+0yjT6ynb7x6k0J+cNroZWQ3jVx/INDnRPRoLIN7Y12Ief6o1OgTpqDlh5a9HLy3ODH9+z2Q3oHI/Y/H7TR/Ofv9+7kCnWetAcZs456g+JwIIRESa9OHvnuFs48XuQHNr61RTqR4o7ietBgcswQyPLjrQejdYuzOi+DcSjNJfMpnbLHB09joAW4pAjhWuhpbPg5z3h0CY/ufYVJ6HzCwRcNaCTkO8B8p7Fnq/52xS7OSn0EmrDAFxTTL1Lx58DAtBO9j3N+HJCrQyM2nTzjU5JD95aGzenXmg3eeejXQT3uXWe4k+W621RVmtlKzxPBM4LlIX0yLHxnYRqmvcKOw4cPzW+4CnHoqytW3rphvJ9g/TaRp7jxAeVYKUvVSia8BQnkM5IeVNamOw0Yjb83WDiH4mMAk3ruGkRcAppwhYVPTMALIJG7AzrQGTPRJ0rak4WaATQK+MXNIxLNzm1RUQHCZg0NbynRFcSC2/rldjhIuIBuT0pWnYwCfblE3TGlVFWRY7QG3Cw9+X3vui1+q1f1NOL+lAD8zuvblqzaFaRf3qbA2feu+n8ZKfegkyepFIRsUkU5QnOeNFA4B7TjTl/rzmuKRY5BHjwPHAwHFuS5JNmB9x6pE50Hw0xy+99vk47/Jzzhg4rnqHOUkLZIVNobDNEjYpknqCF/3UC/DZ934Sa9UyMOM6kP25njHZ5ot8LgauDSlbTKBsia3YwcSae8IWe312wB1JMkcJurpKtiWIRRLYbDbwNd90V/z8b/w8pskmFkmOkk14V5vZz/AkAJ+8mAGqTPJoTEuQn3q4Jb2m+Mt8iUJNZPDzDvYfPxYl8RjaKaGdt3j/O9+L17/iN5E2VgeJiEAk2E3OOSeX20J/8NYMX6f/2WLhW4zwZryEDDlZEqWUjZyK1X3xXS7G/R90f9zvAZfhwjtcoOlILRWqLTLGsQ9Yl6rx4jRGWdHbh1MNicB3Ef0bm35h046TJ/wLyQzK4JM/JxCx6DN/8Wm86sUvx+LY1DULWywvH8DW9sw8p4JIE9Otk3vZPftz+ou2V3DZSMgyKZFcGONnf+1ncN7Xn4d2uUXR5GgaTkj613L9GinJmYjpH84a0t/Uu33rvM43vHxckjQktbPpS+d8TIgZKZ6RYCd/twpNVgsoN5+v/XRo93dd+wLHJUmXIBJznOaaA3BcOTZlVUpJpebjymRVTgmOR0hnyzcCjpcmqzIhE/0sOO6f+CnA8Xk+mr9l/Q7r//m2BY7P2os3vrDx6iQfPZLgeHywxTycCmjiAmTiwC/T/TOTR0sAeubPXpa5L+JOt71OBR/xM2U0DJmHiGbUxk2lreva21bYSeOLrNhQB08ZEIwx5ni7BI1NMEEUljZgAQhUdTIdftxR5URnXOgKwlOYXO3lPuznezxg30k0dKC+afVKGkU4Z4yUbvIUTCoDadGNFgRWmfx4XU8rmpwqjX0sfXslzfFiQv0lB46HNEzcqTlloLhnFfi0nwvGUCiC6WQnMAkjQ2Uy5cgiDSJ7cJwBuxHLhqPo/Z1pIzLHCz07BmeC9YswV9C2AtdxSIejjq6IGhK9fCkvELox53ZjjnOctxGrmomlmMBRjSWMsXxshHe86B34wh9dg9XtdUyCMVrewyhDUedoMMU4TTEvSsTJSPvk+vQILnrkBfie5z4BW6Mtjb2NtjLpX4Jdfz4ePisBACwylOf09941JppFY6DiMeAj7/4wPvyev0R57QJr8UG0ixHCmix2Jr0VUJWICYRHCYqCfd1Yn1E62aRho6aFFyLqJbcNSkpTSHbHnnlf/Jh+O5nYeTBDnZVosxLb1QlUQY4LLzkPd7jHxbjXg++Lc+5yHtLzJsp5auQIJ0ARFtgqNhCvRNL/rFsWFGRocSTQxqVNb67C+uY6XvX9r0P09zEOlOsgjjoNtrQvyTaipEqqri5LAo51EfwucP3K9fjBNz4Rq9+wgrycogpzVOxq0xhLC8eB49T2FcPQxk/570VkCW2WxxiFmTSyaR5JLdD1ag1LR0d40Xe/AOONVYznY2QN9TSpN0nWFz+3abczMYgS0yjlmGOEETbTLfzTyv/Fz735Z9DercI0m5qJp2NbGsvHjaSp6N8bOO4ZqvwMNGgiyMWiJ66di7Zitv1sNiGYDIvQHcWChKg5SOZbrOLdGjJplAjQa4sWo2CEetaowSCAr6WhDx+ydc0ZIyv/P7v9Z/tVObBvSMnAhVI3xvinQWWQBGjZ+KH/mfZejZo6rBxLY79JclhWkBIg96LFjRoTdlpo1ztzNAOqjXXYA4B+p1tC3rHDXYzi86hOUrXZCY77uOi9FfyEkcVHrmHeSVPfa8Ti8YC8xUEm/7IA7n6QNwQ2KaUOxdrPAXB7/94bWv6nSwoGO+fGXmoxrf8a5vI7AFv/Et9Q7eKhP1tcfHSNWBYSkiqr2YRyjWQLsTaayX9ntGUSLsaeW8dDnHvQtB1iu/4T76w7dtFvudJ366rY8W17oAOTDXjzu8Yuk/GdDU44s1s/7WE5k31Umk0bU6YHiXsZOb6NXZ81pD1g70159X6dma1BasPnpDkeJ1vV3/r+WXWvHWL7u9e6Ny7c0x4YgFWdVMXQHHcXQcJwwZ1g6Z7e18XIwfd24cH93eARdqvX34/ha236LUJWZ4gLyihkIj6gbAWiMOf1IL89DpsKNMVAm07Yy9ewKLXn7Jmtp9iJ7p6dsgnSY8K2gdx65rqulYN7b5idQLrAc0sf1PjlmWHnhf0M2YATnIkjgdGLhjBOjZAN4SzW/6acV53NUbYLY2KGtpab0hrnZJN7PXCTOLKpDZvccPVBWyJKPJDMfWC0dlFGeD5wqrCtBBQRGOcZKI19mopGMVomnyRIOGNTn8f6s50xxhoIJsvlpYBMp5/3xGTF9vTlpI0Yw7LpBF/8xDV4zhOfK0kRToaN4hQVc0qtGzb1BhMafidrKdkzl0yhZtX4FMyQM+C0ackJQRrHp5ZjIUe93OC5r3gOLn7gRZh7WZUuRp3MJR0u0+H63w8u43PBoGmx1NKTySbRgjJBXI7x4p9+ET79ro9hrV5CUkbIkrHW0aIuMEpM35nPWOx6P1HmfHk8OO47JVYnu7jsAHLWVHNsY2V5FVvblM0Yy6OlySosXzjCq3/vVZitbmOWLVDKkLaPG8a4tRzIoqqbDHGEAsvVYjNcJEjOiWEyxwmQc6iB5CN+r7SELSfsSvkZ8KH3/hle/bJXKZZojQnJtRzW1mjPHL/xY3rX2TuMb12m5ta3u6KbcOwPvvPkAHa6z7P7O2749bv/5RSvFDBtDWNFHe71oMVoKcN4eYRv/85H4t6X3Rt3/NpLxLJu8gphGgsU51isppZ48JNhzUfIIjBi/dsg4LSw9MRbRDHlCxvl6myqcdqBMUWPjVKgakqFqI/XeOYP/yhm123Ka4ESLCT9kAxD807KPxJAb6oSKWKB2y6Fd4lDl3l0+UJ/7uy8fuUEjGmjEo9/6uPw6P/waMzGM2w3W7pWssZpdKyGefdLBhIWTxS/2NDpxdJsiq3fKe5o6eKL/7NIcK5B2ce+3RJyfr/Zd50cK3x9sKfoebO+6YaOWT+179qjgzyt//EW/z21cCe/4YaP7wGxc/Ci7me5+ydg2yUbUhdg80wybQTHE2EVAsfdGUXDaRpTtikn92s1Rkhy0p12P6dfJbsz7/559JngHhMQf3v8t9/gJh58hl2vUV5OaeF5iPHcqSg4Q+6AeyashX+WowaLSYU64f6hTBAnPGxNJWSOzyJkUyPR+WaPzRDbeUm8ohrPUY8r5CR1EpsQaW0wYXmzVtNXx4tFR2kCZNUY4fGEaM18nuVvOnDxyk/f5sDxzS+e+I1wO3s0da6q5RmK1DrW/OJhysWg/EEdP8f42Yfm9qkPqZM3S/c3uxY3BfCzRSaQlzIh6niROe4BVfvIxh6XvqUzkkwaBDTGyVrMI5oDGmAoX16XdLDAIyOTm0CSoZ0Uh9Mg7iabd5d8X/mFa/fnVEnCgLLomA0e3Ofv7JRFG5GY27xvkp3whaiKgEbdcNvFNLysUGYlqnGFYmTazn2C5pMmp18tkweTtiEAVaooS5CRBVwmSOYE50ONsgisd4ZHfB+ynDm+qETM3loMTTKGNdJDDSgGmdg5LGtm94brvBuKmwIKGye1I4YcR4pYIDndODVS5pi0IxzcXsORDx/B63/8TZgcW8ZasI6kyWSOwqkEbm0WA/NortFaYp7zdIHp6hTPfuVPor0TMAtnyDBSwllMW4wSx0bVdAOLuRJJxhHLUozpgJuNcowR8Pn3XYX3vv09WFw/w3I4QTNvpF0et0vGVqT+tYw2XZIsQDFC6/QCaYZEWY26LtTo4BXSMHNBrnNG040AbdVopJhLiWOAPAhn4TbalRpYr7F88QR3v+LOuNc3fR0O3/kQ6ATaaE81St65VwjCC7TkARIWqOOZDk8Chyo8mpFjUfLzA2EBrM8P4xce/os4fPwwDoUHUOX8ZEz8OGttSbzvbIdxiHmbI49LHFk/ime8/emYnzdHMo5VdObUP3cTIzv1xi0YcC1I1cCt8yxOsZgusJSOVexQG3RcZBifWJHO/MbHp2iuDXBOekgmrBwVpss8w2JBs0kQaK4wmoSYz+bIomVsNTPMDuW4//ddgct/8BuwubaBMquRV5UMTlLqgldTSxqj2Bkp3fy4YUWKXYjYn51+tsk77ExNvCa3S0vsZLbvV0FlRkJqkpShNMc5SpzVIzPy5R71YcaZ40pH27Gk+6ahS2xd0cX7xfG7Nm407SFZJEoicU3IRGqQVHWU2p1J7SBN7P6nK8cHN223nufwfp6iQHMfXSXrsDYbhNIbihu9fm7fBOz/V28oaMn4kEduP9x/dl/engwF3Py1cLv9jgEgcupr2H2u9X+2vL53pNy5Jtyp6GS69NquyPDMbZM96PR+tRb71q4VbwZO2RCNJXOhY0trsoKNeU2rWSz3e9Jr1++Ua+s7MYZ3+e+5cYmOUxKi/W3Quaky0QHYBqAxQHE6QzIpkTWeWch2Y17KaVpULK79me8uoIPRXTW5Q3dcS9jtjEHz4FTPrts/g6p0uKeG8et06/dGAY8911eDMk7/0yeM/tP0O3RHZX0qqv/pLuAU/+6vX2eSy6v78WaLG51qjVIc6ruzAcfX27qjmWJMAKsCQp6VbNg7vW41aJxhqWWpxtzz+0Rr0yl8WTPT8kXdTp989dtLy6ybpnGjZmqqGm4m4JMNzi6EksFKgFmTEwOtHFuuXW5+0q1xj0GgU9f8HOx7t410HX6QwRMyvBSdSAeNDBQlXa6pUf4e6N4xP6MBYrvM4p4a0u5DyVxvEM07mT8rJAh+m9Yvi1+C3CZv0a+dwWTBDvDG9qef5vQx3wBnf23D9ehP7yGo0zeguj3pYtoelp81b0keqVpk7QT1tcB/esgPYb1Yw0hyi6yB6AnQoqVElAdSHZPfQpg1y8SbVzywxoAnWfAvuS7IdC0oa5OQl1OKxPAjP/MkXPH4yzHLZr3eeheD/F2xn7s7u/cg2n7Acf4MRn8usZTrI68QhyOEixgr9QG88MdeiP/zx5/CmBMZbazr92lQ7Mgkvvob1mDDvKuTVNvRFvRXQ2ZwYJrRQYKCQGESKb8NJgF++bW/hIOXrUufvdcUH5BntJ8tLzMmuK3KYdYhgzkSTDhJyKlWygcUITKeWUFszU8y4dNINYVqsRr4zJ99Ai/6Ly/EJFpCTsIPUmTZBCfyDSylSzKhn86mkpfsnvWubEzTevp8tie8sIanbFgDweRaGtGnbSVJOq975F3Xzf10vzc9Icqz9O2fjXAwoEd4aU33A71ZJh+mTDJDGtX3cpxqdCglppeQGe4aecnOWdbD/t+5dmg2Py8WjhhUY/XgCh72bQ/FIx797ZqmdYMEJ8c6DX5wMliIuDuEey1CH2cXVYXxEjXxuQfpE0QQvZGPmD4jzVHdZAd9E172iy/F//7IpzXxKWNh+QYMZUzMhNFSAdMMF56j58h9a7mMv8sVKk360tyYwP94NJJ8SxInFE0S0fDKh16JZz3nGcASMA/mkjpNlmPM67n8uLy5sKa+XN3BAGzwoY04mTyH95SwCRwrTVxc6eTqXA7W1XIGvFvypZO0m8DxeZE/z/x5200r7TgP9xJBbxo744bSE30OHiE804U/mBiVX/8iBWlgj01aa072M97uKenSXYzs0jIze2X+x9yvMwtW3zhyE9CG64j5LRNJWxckgDGPCIipufqPklg8wxkn7VmyI91IrmyRLVBRakUTg2YibZ435mWgyccuX9r5jKw82p1z7fE5nObbTvUMGBdlyrmIsLSdqSHQBG4S2bFdatqUZDVmyyWakcZq0LTcM1QIsLo4yROMpyP9HLPf8evXrp24WZXmaMalw81qm4C8uZOOt86tOWM/Vc+kAbJyhGxzQlLeFCvNGyYXjH8uWAuO7feD7bks2P3G7ay9w/SazVe2W8m/IgBVrWwbOO6SUwJZ/KrcwpceoNbB3g0pd3/4UxW33Rl5CvCTAvij+cjcuLmhKYdBRrtPxP03c0IydCYCEcGaRhIR1Aic8c86YFyC4ZOLzgTSkmrXG3DM8R4Ivj0DGzRsSTbpaJ5JaiUm09QbOTm2mLraCtJsFJiUSUOt9izvtfCUjNjTFJtSbEnTBuZIK48/CnlEbYqszJAt+NwYfM3oyMbRXebtijJ+FJFq9Az5b3JRMq14Ao00VI0MCL7RwvlGdphKHK8dLDSD+lreMZBsVzqJV6i3Cpxbn4vkumW88od/DdE/JxhNJzpA+DMSJBQx0eGw7TQCeRnqOo5LXPlvrsQDnnS5wPyCc8JVKN3vmgaI7vZyto6JVrNYIByNUB/NjfF9TYvf+83fx+c/9nkcSg+qodDkLbJsZGaRlLmQqROTS0dbFBvBUlEm3VGUyoyRxSKZwbxndV3qXKoTQuoc+eX/N/NVHpgl9bvHFSbnj3Gfh34D7vdtlyG+Cw03W2xjE1Viz4NNDTEMpb3MB8YxTJMOaEMC1VPJFhk4zkbI2BlsmnyNdOe/NMavPOFlWD2yilWC/ZVEW6TjLTkk1Z7UhrX5w0VQYhrnOHrgKH7ynT+G2TlTMesNUqfWuNGgVRwPsBxfwCqfcAeT2E1tgHE4QpWXYqFxnGy1WMen3vFpvOsl78OB6WFMiommLkBwl4Y2Su7YEAkwb6dI2WyraW45BucItrIZDl1+EN/zq4/HxvIRzJfYhGuM3aeD1Yy6arI49nhI+vi5I446/wArFIZf7k8DANrAEaVelsQQ+CPDniPGBf0JEqRVZk0aD5JwWSme8gmZ1mInMyAw0TEVNQJeq1FBcJwjafzlDV3kVi8A4yuTHO33oD37/bfSHTgturEzSxiuF2PmOzCge1kP/vlymfveE2RsvfbAy9AMkkCizjHuC5ck8/A3QJx7g2QSByiy0ODeIVvETdV1+9FNJpyUY3WNIDsvLTbdsKzIMH/2e3moN2473OKvTStbM7ovjNh8M31/+8UL6NnmGsQ3EvHZrzNwB4YgdC9pZ4W+CNTudyNTO8DCjaaTVU0fi2w+QkKZPCF3rdaoNXE0K7Or+KQsmQMdHBeNr9fecPI8WktO8sQhlg4otwPF631rIlM5YiPTODG9WdjrnHarVdJ4lpNzr4h84RNpN90nqbjupLrxcsbkWPrXK2MjM14AuQf1ByC3ElIDDz3wouaAazDwLKpGuc4kXbeNEpoWPSnpOxp3Boib+bOxw208xF+v++zdeebro2F+evIERw/UfOUXID9hpHOfl5oARyP88EOfhNXtVYxYD9BANFjYhAnBcWf8SIAx5TM1cb0OfHEFoYPHLf8kw5VECya6JYkLMaf6KHVT44d/6ofxTf/+AQLHPfjb6a6722Fr0Qo5vzosf3Mtib0m/6421GpvycitZYpJ9nY0T7BSrON5T3sePv/Bv8OoyESd4vVLRo9EXE4CWfTdc/1hH8FyqDAmUN2gSYBZtUDRlviRn3sSHvD9lwsc97rlXbPdrTNjJ1rz1nTALfMTuOryXH52TpdSPzimP1ceIyPhgYkc839KE1W11QbOSya/bhs/8h+fRNdIZOEYRVFilIzVbJvlc1qtYpSO0JaWP3sgsss7uyazB8e9BY1Z1RmIz9a2kWnsLlpO6ffdTlqBbxI52JYgnPOx6gkHJ4Pjfk3qcwkQ5vSnrUvWSIs6l4QSpY8IWMlc3hOMXHXJf2MTif/mgUaLKS2KoMLKgVU85OEPwSMe9QgcPv8gSpSIRzGCUWjTBbxSge6DKWsXykgu4nV3U2VqwPFvbGomol8w66GmRppGJJWbDAvBfU7ExxHm27m0xt/z2+/Cb736zSIJMt7y+ZsXkpOAcs1WVq2mA2Ax2zJwD8x7xqujHbgmel7nSOnVoHrV9M2jUYR4PcKzn/ds3O3r76L7Ry3qOjasJRyHRoxyMlACsSl95cZKObXaNmTiGqhqZDoD8u2YsL3pJ+N7P5d+isjktyzmWy7XkwWUCe5q5O+Q8roFwHGP+95YGnvKOk23385HrXzGWHeeco15KUmB0jpDjcUgBrc7O7WzXC/Avz+fjX4O8z4S1lR7G3FK69BNMaopq2axm/AROM7J/kjymZoYyTlxnWn6RJKibnPL143EpqxCPl4IEyID3ftJsYhW/KGc8QAc9w1o74/wlQTHT3W66h5Tkm4eY2WLXi1UC7B8gbFF0T0KxfaeLheoRgXCKNdEmrAiyqhS2jmPBa4nC8txePEtpz/cOldESQsHji9Qco9YUDjFNMNXPg84U++oU6NtBY6PNpbYNd9ql+o3Ti4aP+e2Bo5ftP3FzVcE0/S7mLBWy1OUYo7bsfeVA8dd1mJLtP//u8BxgZJVgmw2QrRgcWAu3TJx1KjuoKvHAB+RyUqwpoIcFzmNSEf7iACVN7XzOm4D5/iuknZF+GAldcXNmVpd+3zfhKYt2x4cp9yK63zpwoz57Q8y3gYGP47SiLlN5jj1mBxj1SevvbyBfT+TSUGUBGmrWGBosiDj32nghQ7c7Sik9swVYxxjn1ILLZMIMpWldVWhoPEiteI7JtTNvxkGTlixqMNZYx5OX4uHrfS0Coxb6wxOigP48Cs+iI+87eMYn1jCpB5bescACUqX0JCpkHQPfyYTAzLtm3MaPPWVTwFWGuQRteRajEdj1NMWURpgNp1hsjKBVFHmNEiKZQz16Xd8DB9790cw/RLZ4mtYGx/A9mauMTlqkFOXbhwmnT75LhhJ24eam2xAKHFpOSERIw0zHbjUytQzpXlVxhGpAiea4yiWStzjyktx2bdehrs98O7SDi+TAvNgIVY8E2rer7oqkCpbMmM2guMBN5VG5gzQbsKZ7qMVlmSOEzwnQ5ngeIRsMcLRj5/A7/zk72Jy/QSTKkUWpDKx4QWkEZsA1O1kMlgpmJZxi41ohq3zt/Dsd/44Ng9saK2wCONRb9n36cFxPq+qKZClmSYGCI7HiTVtlosVNUFe8AMvwjmzcxEfj5G1KSIWE2T6SJrGxk3n7QxhQpOmAMipqR1gO57j2NoxPOuNz0Rz5wrbkynoGRbQZ6ehEWiIRbFAECf7Yo4Po2VXmAyB8WFFaad+96/GiCWLxDED2GBkUkTWCZ3KKcFUWUy16Y1eT7UjAzjmnhJUMRotyZMkD+WqUmqiG1tcskiezeCT4bNm9Tc/cH2VfMeNQ2GnvshhwSy4SvJb/YitLwSt9vCSVSdPFVjsZ61mwIIvRhSbxHR1MiiaomRO4cA96Yn3iHLHjOuacD0Qb/XnrqvsWG0ut9kF7viXdyZu3sxN39dDMQKHeAGUJDJNOEMfPBbhmEgda0uyZU6tfyB1sp/m8lfJMjyjl+GbtPYhBrG5A5jNd8GYl8bu05QXHz2n3GaRfjc1EVubNgFk050GfLoRvMGV7i7qh7I5AuB8vHfi314mwtjPLjdTPl2bREBsOQDb05aQuMtxebnINB120YPnKrqZ7Plc34F+PrfucuxO9q2/CGEE3u9tkO57gNCD7h2YKgkM99EIDFBeLTGgVoRJyXc7YIHnl8B+B2h7rXs+B88m3yEUNIRA+j1/coN6F7N1P+DuPleuj4HicDYhks0RnvbIZyC6NkRWkiscoiA4rmaBGUvLMJUSecwZxGfhvw3ba7b+OnAnYJ5JdjLzM7vXFSdAoxo/8KwfwEN+8CFnFBynpCCBx5D1RUMZionA8cl8Bc/+oWfjy391za0KjnNTkA3MO1iSoEJLF3kY1Xj4934rvvfnHofpeLuTRvLLxU9BedkhY417UKcf17d/N88LEaAWsU3sctK65fsaG1oMXTaSyFAuWgTjEK/8L6/AX7z/L5CxtilVHUmvms87yzKZRZrW+jB2dSI7AndpUG+Zo2sGO71027asnpyeeXe2+WaDr/0tNvRzFD1z3M6una/3R673pvDvrgloNUJ6ljhfm8aZiEEBixRPAAAgAElEQVQEvBROolDgr3iwAgGdFjhB3bBVY4Amvfe85z3xjZd9Ix708AchW84wWhtbHOTkiuIhMM/nSFKaZtpTsz3hAHLHMGWz0ufw/hl2x4CLb8Wc7G3zTCtrTmGw5+dAZpmoAkevOYr//PSfQH48xzgcoyoqZNFIpvYeQLZ8yUBQH3Htblpzw58+XQ7i/pZ/z1qRBqBk09PIczKe4Hh+HI9/4mPwmP/0WE1dRKNYEi+qpd10aRubPCf3uxr1ZBwz1nYeZ86Y2727pzZoqlaGx/bZ+vane4VAV7cyDGXdxRgfrMkuHA9ZzP6u74/euC9wXB/BmjJ2vXY+SdKLT6k2sNqTPsUyNMzW9ithLDWgBxIzvEQRC1nX21pUbS6JYY9r9d4tLFkFdnMCPmAtSGkVU2GgKWdQuKmTKta0gpWP9nlJoCvGOZqMz5QKATbJ78F4ux4PAPf7309hWE9Np9A+T7K9fbsHx7M8wdKmMcd5HhiZxjVcwkDg+MyB40FI6ptJqJ4Fx/d23/13+chHcu5oY0IS3ka93Lx+6fzsecF6cHx/P/0WXFXttL1g+0tbLw+30u/WiOTSNsqsQOlkMneD49aB80yIvWV4u7fEzp/SJ5uWIO+8WP5dWqZIOc7ARS1SlHXZXPO5+wYVkX7MmIxF6g3HAZqEG9w0itn56oL6YDSnGzBy18qPYsT0/tA/qQDe71P9Cn0/wfF4RnA8lQEDwWuNv7qsWbC2637xGhn4GBDZMZS8SlqhJCuUrBs3et53B+1+Eqzk+AkBBzJRmZyRvZAWBMute+/Zp4PaUJ9Bj5IFF0FWat+nNspDBipBWo517Qcc90nXEFBRg8WXqTwA6gVWRsvAZoPV7RXg8yFe9OQX49D0XIwXmdr4BFLIHufPI/9aAKCTuiiiEtvZFv7ds78H511xIbBCoYkCSUzN8kbAL1kjelO2E3Pg6P85hne/4Y+w8Q9HEJxocXhyDop5i1lNMHwVUZyKyZFS060qDBrS5nHMx74yFatrXs10n7IxE0FeE98o1POskxxzTLGNbazeYQX3/bb7iCU+ussKmjTHVrBtnWHtH5OeUaFO8yARrcSnMXaALoJdJ+OGGJt9IUa7xQv+m90n3qm0SjCeLeMv3/JRfPS1n8TKiRUxlsYRx/go+BIgiUbSSk/JEKuNpUVy//FkiuhrIjzljU/E5soJm2oQ2E+dVVe0kVmxw2zRDmJ73o7hTN18fkMZKoakI5oYBQi3Q6xVB/DmH3szrv/oERwqDgNsZjDKcLKGWoBto5kBFdFpJdZ5u7CEgM7U/xx9Cd/y9IfgAd//TTiWHUUzrhAweaR2YBojL0s1LvrR25u38Yfl+LA8GeYafTFlP7tLPt1TYLwUA5ZASx4qDoQlx+tMXshkIXwyZcBAF+882OGAOjEVON3BRJjSKWpEOvYqpxrUaHXj5R3jd3/Mq5t3x86++rZ0B7q0+HTpwyBRGMLcFlP6eG2kcFcAuGLJimQHiulo64E7fr/8F9RUNzNNxv+IQHhlBm305hA4TrBcZpoDAzzifSz2NCbjj027Kp+znJpW2O/CHVOnDtD346mm9e1kUnw16wBwXRVjckypDQeaO+Ujz740wNMD4h5KcK9199QJiN2WlsW/mM9i7Fdrzhvr09iQ/ssKby9JYKPVXJsif1StMbwWxsy26R0Xr53mtQA01zfZQRYZ7DdvxK5mspM1sLEvt4odW61jOHsjTOY5nMZMSiCjPIDtBYHjLMQJduma3GdyIH2n2c0r47lDkM4bfnW+P8YM9EC/NdN9YT7s/Lqee49z7Fg73dnnEkv7PJalWB7foFDj1mnsMz3hfvLnWGhTaMwtOkaiA2xsB3tgyf3EHYX+qQp+/4kGxczpYt+tuBsUqWg0zinGGpjMl/Hsx/4sNv9uA2kRIQtiMDtUvSMglTWANU4SPRPj+u48wQ3ItEaO/WfxzPJ4jZg7cPzxT348HvmUR55RcNxWA9d7ruvy4PjSYhXP+vfPwvG/vv5WBccZ/wm2UpddvGTuwzhAnMW49IF3xzN+/anYHm+5vWkkHnfSuJXh9opv9jqg0HJ1k7Dms4jbBHEVqfaKCXjxV82cmtr3kXRl2kVtMkSlye188W+uwTOf/CwsRUtYSpYw25oiIb2GHkVhiLIuNNlpXx5adQQzxxyvB+C4BzA9K1Pf5WVXdtT4PjOwleTP0z7f9Vxzk3KwO+IOv0Hya7vdRqH9qayY60FIyko0pRFdZJLboKxIsOF9CGSqyYZFkiUYL41w4cUX4X5X3A9XPuBKHLroYA9ITFyYLo2lG43pKcX3sWndfuKlbxAaY5g1mI8kNkXs+4p6cIpr7qoZm0oSnCqZwbLhxLhITyAC8M/7f38ef/upv8FSYJKbnBZgXSOjYIdt8Cd5ixLbnSajYveJdbyxiH3+oL1L0JT1uwNxyfYu6gJpluKu97ornvW8ZyJbT1FXNeIstRrWlYFVaTm/akMPjsc2xabcRfmLxZQuR3NyFgJsXd7WNW4dlmpnpjMKdlPK/RrcHTD7ZuStEWr3A47rqjWUb+et1qHLR0VU5FlPnwDlns5/TeC4kT4EjksPnPfDNyWMoCRAnLE6CVC7M425Yq0mttO9pqSqzlUnoasJFALysXIL+hQYQM4JSWJD9vmUHkhmt0SRFZrk9+e/4rvwAMOOumjlbtTOVozlP2fqS6dUS1mVGBOC44U16myKegCOJxVmS8b8biMPjnPvyLF+b8xx/ng2uG6NRXmmbujNfF8/EUJwPNscc72fqJfL35icO3lRcCA4cTN/3Ekvv8VWVrvdnj+7duvXsZU9VkqcZI7fADiulNfld32/8eZfyo2C411h4I42X3xaBawvuqyPto057oOLxkW8DqHPe/SPVigqMDvZBSbB1M2uGDQYxGOyHF3gpsyFxp3MUG3YCDDNRweOe5Otm3/5Z/w7aMSZ5CniPDFnYgZBMaddptWNJDlQUWaGBopXBMfJNo5pMORladwRpREbn5wRUIyQNHyPSIEoYoKmYMsRt37sztipg1yLz8s9o5IOyQLHGeAJglZKFPYLjvdMRN9Dt0PXf5IgjqQBPgoyjKYpRlvLeMOPvQ7FZ0skG1QaN8aWNNudwJzOL42st2Ju1ysVLrjsfHznT/xr4DC1qreRRCY/YmKdMG3xLeADf/Dn+OT7PobRZoSlciSdQHJ4ECYy+uSozmJB4LjBcjRGU+f63758G0p0cIkykS1b0pUpoVJju+FESINwEmORLnAU1+Nr7ncp7v/QK3GPyy5FeD61D6fYonQKAd9JqCYEnw2TLX2WOkBTUEakQZTSTJUguAOuafAp5rjsfsDv1h5ymUDrkuk2qDROszI/gLf8/FvxxT++FuvTNYxrWstEYsUzUa+prVc3yIg81878MGtxbDTFHR52Mb77+f8KG0vHxG4SSO3AIxVkDdncdvi7THMnOK6R8FqJXUSnaj6PhFp9EZrtGoeKA/i7d/493vr8t+JO0V0Qb5L5HiClBl+1sJhDgC2OMcdceWzKccamRjACToy3UN8jwNNf9XRMl6eYpVvSKDX5GrpOuhG53ezSmxgZhuC4BwV9mbL7R3iQW1t7UIiINV6F0pfjWJkZsCQGwPB1MnTjavZFBheSG2v0E4wOJKRskGSPaA5K+SVpi/uxvkE7cbC/+nHhm3jRZ1/2VXMHFGVPIZc2vEDt3F2JQg8x9UV0f2z4onJ4kLjdL5k/z4E1w0yufYHjlE+RGREEGrBxa38vwxJr+A3Nc92xZVOUvXxTN/zvP7jHDPzH2QH0O3mAjh3uWFRiVbHYYSPfmOEqNtxx4VnizFUqFTv9HTF91MFNc5iBf9thLq7SpdMs/6pZVrebC7GJNfu4JkdnNk76Py9LICNzApGx1mrCdelM9aQx7iYa+pEBEg4cL9MSEc91cMmZY35pibCZacasavA4Np8RIozBZuxz+6A6QxyTj+cBC2Ea2hMcD5gWaITejCe1dj1zzK1HX1Tr+Alam9DIkw4cN3k9Y5/4cXLtSzfN0QHk/AGn0AKyZoO7THdfPbZkZTpJHO7Qcskm8yVdHvP/iHUAyRetfvH62sT2IQGeVlIrzvTT6w86RnUfpPrc0TeRd4av3dXwmauOd4PjS/kqfvmJv4Kr/vIfkVJvNqBx6UK63CQ9CERzmvQk0TDLu2FwvGf8eukVkpKkN+7A8e/6we/Cdz3ru844OG5L2sDxOBiJOb5aHsBTH/dUbP398VsVHJfZIvNc5qqsNUDpxRJRGuHQ1xzAL73tFwSOe9mJXrrf7VEnZbfzLHVEFsf89eA4G1HM70LJ5lkcYbYtg3WWIWWFeMRaA8g3a2SjCO962x/jDa9+A8ppgcNLB9HSd6csMYpSRHGCWcG8n+9OMGzgf+H2vI6XfhNaHjmQwVDtoH1pwJzlqb0B+8mTWdaS8nJqzKaNiOPB3v53foQ4SVDVFSrKWQrzshXLj0RJJsPBjA2tfxO5hnImkYDFKx5wJa64/xW4z/3ui3DF9QD82U+1IOP62JebPimLXI0DgtYR83zFK9/wc2czp39IH3JcE89BC3VvnNYV71brzDhBUhMZ5GSiA4vFHKzf6WH1nre+G699xWuxnCyjmhYYBxOTdnA+Ex4ct3PG/dL94g7OHKmrRC2zYD5Pl884LXI2UOKQdZ4Rj1h3ky3/nBc8Bxfc80LoR7RATs+l0cj6uW4SQZiLk34zWRWXn3C9cZo/s5jbTb3ZCJTlP53Ejj8YPMtcJ4ir042s0NVCOxJGdw/cPe7Phj7mDpvRe0kc9gOOCyNwU382rUicJDbAm/4AZZ+fmvyZJ124ZgLPZk6Z80O4PNHY4abfrsl93n3+G8/npAZxlJImmhFlVVvEBMF1EU5OzUmryKySHn4VyWJOZsXlxALUtaRrLOJcuAzXAOu9MixRBVRjsGfq77Tt7Z1tvT5r3cud3//3GEPfgePb9G6JNUFlBDAuMWKFgVQKKItKWZU24eQ/Y4UsvLV3elkVTmCfWlalcbIq+cjJqogR4Rnq+7+W2+NPUKRu6IGRItuid154rFmqXj45Z/TS4GCwsd9ruiXB8fOm123/arCZPUFKVMtTuRAXDuQcMsfV9LCZiF00jpt3OTcIjg+SXM9Y8YFhCFzSHTbbHGkcQkwX52zvQVaFEocE9UYdzijSmeNo/IQFJoHxBKiYDDvmSxDUCDuQ3HWSXBfWClIbWbu9MscVjAmGkcUtwNrY3KamN9Trcgm/pELIFme3sEI9brBgsAjJnu5zBE16uREeHlxxE0rjLsnJXKALMruiDMrOyMyx8bV63OFtozsEBxjQKU9SC9RlgJfBH7vyDrzfe3mxy9DG0hVXGDqGIBkSVSWWdponWN1axd/90V/jHc//Q5zbnCswxYo2J0/hrsk8xk1DrUwLbKQn8Mz/+kzgHhwvnSIZL8lNvNpsEMcR2i8Db3vN2/HFv7oaq/UK1rCCclZiHI1R1Q0KU9NWo2GUZGL4V9LLswSAKU3lZGx4FT7ZZKsjyWJsLI7LQyA4FOG68gjCgzG+7kH3xIMf+yCsXriMeCnBvJ5iQab3iPeZ+6A2eRMFcZvIkHxkEyGLR0jSDLOChk1kaNvvtQx2DCCXPDVZ0g4c5+Oi9riBAjXG+QTLW2v49Sf/BhZ/3WDt/2fvTcBtS6vq0LH26nZzmntvNSB9FAgJiPolkWAMjT6NTRISRBEpI0QBTRBTRmlMgoANKjFKJwhiSMxTYhNEE5SYGPye+oxJ1GhsHghSKlBUc5tzzm5W/74x5vzXWufcU0Xde27VrYI6fIdz696z917rX38z55hjjrHZwVQsZj/8yaiRDmCLfEKGM0H2DuukwLntJZ70vKfgs57zOFxYnO9boOVvpfqYMbQpdWIB0AAl690FPrCDpBI4nmOua6bWI8FudlpvreZIP5Tge77ue3Hm7LXY2ezIhJVaagUKtZZ2bCdMEhyQnT8BtuIUTV2h7ipstircunsB//SN34L8sRkupGdRpWsliA3XRcKI5fJ1RYb901bAUb3OYTcOSccoQPG2e4HgTJS4NqsMeZNrbfZRTWDhK/HxAI2BfuNSK57HqGBFDVd1lFSSX5JLt8Bxh+sC09eZgHbNJ1XtvLQz5/7fvveMQEjo7/SKRrHA+PdsDfs0HSG/oQvJ3tvOLe2FYe56gmFqCfR46Lx1lXsV957wk8xV1/bqTfNGEUtooAhCjIGfdlcOoxB7u9bkWEIlJIbSjGTHTUr9QmNeqrDvckTca1gQrKTnefRDHTjx4lu4aslzjMgFhsIGQOPeMy8+Wa5kAMdNYzwA5LYvWmnZ2qA8XqomMtNLqggJGWVKmMca2EEv9sgIBoA8BFiuyyqvEHX4BL1Xl+pRAcneW6x0Oqp7cu6CaQrUmAhv0kKEBWJsjNUMIDcWovRij/hpBIUXxixMwFMaP5IBz//1wLh1anA9Mt6wzg5nz4mMEoD70ULySX5IEuAigNyB7R4gZ35guQPjeUkAijVuiT7PNILjKvASNJJcHgFyA/QsrHDauZ2Oh+IMewqh/f+4WX2y/Omk64RXS2M+QgRNC2xVO/iRl/1r/Oa7/jumhZnM1xHJF3zcxqoj6KHXSb6HQxdkNMLVBJjSZSx8RAj69uA4JUzSDl/wrC/AM1/6TKymV09znOEXpTQCOD7pMiSbDKeaM3je056P9Qf37zZw/Cg4RHCcETSZufTQmT98htf+x3/Zg+Pyh3BwMXRwDqD4UePWgZxk4LiBbiQlUTYw5v7BDkE5MpOkUSNSNyNB3UxdlIJ1a+D13/tm/Nb/+1so99ZMXpBLCpOyI4y1p67lZeBa6LAYzmEPEE0votdOF0FEnVE0tXcWsHsUDCQjW8Bj7ogBbLZf8iyslAca6zZ0LFhnq82/RmC4d4uQ6MEzs6ns76jP7AaInAM7p3bw0Ec8DI//zE+XZMqDP/UhBnjzMlwqhWu+auy1aR6hYfxA9nNLicZagHucxu5fEKEuK4tDhPm6pErYBA1/E3tYO4Vyl0Evmmc+tb7TaYayqhDFlHKMTTIlSZFHU9z0mx/CK77lFUi7BKtzK0mqsItZRQnr6e0LWNahNMjJSX8aU2W9NOakhCh9tlQA9D02naQo6wp5nKNsKvkFcG981nO+En/nOU8zzfmtGM2aXbATkEzWUvrFC2cmZ+PSHS5rI6Yzr435ZU5yooPjRsS14qqTFMmQ7720RsUXPjmjs1nRro/3FN+FfXjo0Atg8YAD2eoLxejL3UtPBI6TbMizROp4KSRzSwyG3VTESHpw/AjD2DEtXX1J3IuGnoH4aXMz+EAxV+VGLYxLOEopPII5mkiN6oYcwHE7sayDUmaVlEKtzMwX3DdYoGe/pSYtO69KNCQtUvI2o+RpZX+nriuPJ5yRPqgLOGw4Or4vd/xP8jrrHDUlA8rmkiQaDLKtfjeA45tZgXpGgia9w+i15qSFaCL8cX6QI5Mhp5970n63eWid5YPmeEkpZ45yLxl0kru4775WRsLEQYoM+cGcf76t265/cHp6+vrommjvpHd25cDx/e761W3L74328q9p2yZqtg8cHLfDKfE2H3qzBea4XfxdyQaPv81jwfFjkuExMN4nvNQjJphzge0QZjIYtADVpeKslXCNo/y5vxhr92PLD+VVOjRkixAUpI5nYuY8FH82awo7/BUMesHAKuahyn3SR3nPv54TM2szsUYNtKa0imnR9WU+JRKuceIGDhU3v7xBO2+xzgolDzzfxAxyNpTJ8RiomtUElidio2SFybeYxEZohRvMN8PhHanS36CjuUfWoJi1AsdpZsBnNjyPy18Cckk32ypnbfFezUBFwH3HpIEGTmxTaNGtGlxT7SL78xyvfc5rMT+7MDkaCgUqrpkg7RgsRqgFgFJPMJU2+vnuPJ767CfjM254HLqsQZTHwIGRBP70vX+Gd739nZic73DN5Bq1Sh80a+ymZ7Cq1qBBLllLCgV4ENa1rno6mYrxIHCcQZ+0np2h60lzMplgr7qAdCfGKl9ic2qDJz3jyfjrT/8cYKtBkS+xbA8kE0LZlWxqzuQF9QQJ2rshr/JAtVOa13xd16jZSpfyfmmrU4hBTg09AuDUEuT8ohk7947QNi4iph/ui802Zn+ywKuf9xrMb9/FYrMAO7QiAuoxWTRkb5GJ3SJTu5fxly5M9nHuzBpf/Z3/ANc9ZRd7U4LjLER4m1pYo2TiXSSr4iU9HUw8/MgYoobmHLW8Ui2YzNNYnQK753bxH1790/jT9/wZdpenMceWGBwEpuKUgL21HpqoTEviuX5WbSnT2IPtAp/9FU/E53zdE7HZXWI135d2Ow2uJDc0qkFd6g7gqYO/LMhJ+I4XgIFel88C82DuFgIgGi5xzUuPkga9rBCKzjLk+mNph744SZk6/pIYd6Y5R7kjGrXWKaWqyE6wcbIiVijYuOt6aJO/Hxy/1Mf+CfP7x+/cF8cT+psjv2zguDGMQoutAWwmwTBmm4qF6lrh7PwYJ6stExBPWntWlQwN/QMDQ1VxrrNMZTZrCYty52NCoCGht3XJBRXuowdFeP1EOHs2lTOrxLy1JJnrSy2yPAtVfBwAciu+Hi9rYJ07ZooUhu8oC8+uZ1Bt/YSZWPeVG+nl+QzwGXdRhNhS7CS1OFvCnJQTZATJCSib3oUtjpE8wTC/hoEI3T/UzWVrPH8y7lXngUsDWexmZt46K8RmM/8TfsvPVWwrWxss8m7ySuB4lJq2LOMesdc4Z0da1D3jPKwFb4snc1U+QX4+iDUuprgl6FJpYQLvDHJ3hdT5JPZyoF72m8QQU7qsr9ZfYGbaqeWHLpeXJ7naS9Qk4u3+AskZT1VGxtA3Y0/enxl4WkokAV0f6AEcD6vORuqOAPKrD46TBWhd/RFmxRZ+5jU/i1/81+/GVjMTSYFsUs1FyuGxo477Tdc6OD7WfPY92p+DUSPMbI55Gdmm3MtKWL7AmOGpz3gKvvrbvxrL6fKqGXIGcLxrN2bSyA5XB8ef8yXPRf1nm7sVHCd4SFZzkJ8RaZGgVTpB+ikJ3vCLP4CD6b7mJaf6MN37mWUzLMggeU4+7iQ0hqR5Eyi/Y3JGX5nSCD80pet1steFtMeneYqqkKUFohL4Tz/7Hvzcz7wLF247hzSayHdne76LzZKEFeYEgxa4E4R7je0AdlvPVtiJgiafHbBGybLrDEUmAaiBZNS/v/2rQXPGVOWcFBjYywAGDTI/s/sz07pL+T/KJ+bzHNc/6AF47Kf/ZXz2E56AT3vUpwKUSAnSILRPIo5AnyG0KCp6BE2UI5HRXRYFZukMVcU10or5z7VR1nQ17ZCmqboCLN6w4p/Jdh6hMgeSofSKCGR2qDMWLhtsohLJ3GR3sjhBs2mQtDF20i2c/ZPb8caXvxHv+5/vQ7kusZPviE3OAsc8XghY15g7gzicBgFIJmuWzHExmFHJTJn7m84HzRkrjlIoI2GXQL1S3v+Yv/IYvOw7XoYu65AtctRlqTGY7SxE9mFBQIz9skQcm/zmsG9bZ78n2daFTiBV8ivEXSyfEAbjhQIrSvKhNN6dEKR7WLe1gnC4p6FYPADkir6OdOfZ/uz2i5cPYY2MLu846Aih68V4V8eShGZ+2mYy1lZnB/EYJypK0k9HvJ8VVrVwUhGB19g6n3gmKbljYtZZJzuBbOEY9np6xNErjgB5nRfWJUUim5aJn4mq1liBgfuC5JjEZI8RERwv+Z6pS7kxNHEClPzgiNEYOM7cTyRTzSUrtA+dIYG4cmeErrs/iOM9Jh1jqgT5ATXH6d9m6zXk1tzVKL1McLyZ16gFjtMh1wiRjJWSIsZ8mSNdG/tf0dydgON8P9ng3g+OG0GC4Pj+jIW/W+qt8l/Odmdvjq6L9k86Ay4fGTzyyd1+d93qttUro738eW1bJ/XWAZpZLeY4v2KXJjBwPDDHbYO53K/jwPHjFAaGjW/MgCQ4nh8Cx1Wc5qSUhtIYLA/KRkPgbOeR9XlIr5gtypTwUBXMdI3FhAHbTxwcP+SGbOGApzWXOwRX9XWShKC+VJUgXhEcp6yCg+MCRX1D1g9zN2bSzqSoy1s08warfIMmrow57uA4A7iaWmqRvT8TuunGwfEyEVMo6FKbhTjBZAPWbX8nmGpSHa3YqC02c5onUWuchwAPFAu6D3kBXeJoXgyO22dqM29ZRUwE/p49OI/5tVM0mxLbxRzbe6fxC9/+c/ij97wP280pJHWm4IhBYCZwnBLWpYBrHTB5ZgfTmRLP+4HnALs+tEvgV9/x6/i9X/nfaG8rsYMdZHWudp0sW+CgXCknKaoV4kmLjEBxXVNNTqA7XeYZ4KgBjfPXNQvVJi1Womk/F/EG8wfN8IQvfQIe/3c+Q9Iue9U5xLsRNlghpZFKB+mYq8AkANySOgLBk9g00ZnsUkOQa0zVaTdyYshLcJxjx/2BUigEx8lMyGrqV/N52hoiOG5n9QS7q12U/6PG93/DD+C69kGYlTNkjRlvppMERcvENNEUIchO4Jkkn7M4h3MPWOLGN38zJo9psT/d6x3OD7Eww+o8gq4ZsObgOApkcYquYvslMJmlWFc03YmQrWOc2d/Bh/7Lh/Cfvu8XkN8ywymckZzMJI+xKlZ6bdvUCpL5s2xXSKkjTkmdSY39yRrNA1t84xu+Ee0jGhyc2sMqXiGOjYE+Ip5e4uwNeGEPhQxM2hHbZmhXteBEjABvX+VB3h60CsykMc4WfYIuXMDaTN38RWZ+oSfTQUlqzqmwaHpzItCpA4dGufQDcE+AxDR1hUdIr86+LRUKjJLLP0MuedDuf8G9awSUtAxfY038sAfdYZQRwHHtJw6qOds1tKlyjtu8dokUKSN48UfsR+86G8m7jEFKMrBU3PGMPLS366xiMTQUksItjPJe0wx3ttwoOQu/yrOUDMqjhppB9k16x9rT+T7inwzv55GA19oAACAASURBVMmdjdfhEbTk2/bv4c+jCxzhWHfcbXLvmiafsFcTkt5w4vaSU4ORHrU/1d0jWQSeqWagbFMgPPtQDR1GSp0VwiKcyS02l7Wt04tEIAQlREZt2CGmlVGzEmy2VMvZ23T4+fc+v9gVtJkaOE4ULciqWMGK4LEbcnksESQYdV1BWmE0R+1ccK1xL3CR2aVClYrmppEcxJRZ8KKMGX+OFqgLiDtjMdR5Q9OEr0+ZvfFIE+juu47HJlZkD6bStc40Fn4JkDMeJRBh+rzcFwgujPKKkFaH8Nl5jEcB8pD7nESW8qRrgtdAdjjjGcq85esZ3v3G9+CdP/Qz2GnniCorytk+kineY7FboBJjdC/5HS3G2HYZOlCNIdeD410Axxt87t/7XPzD7/yH9wpwvG3WMsZk3J8WuWRVbvjCGxDd3Nyt4DifIedREidiNFPrm+uT5vLRtR3e9is/jCXl+dQVehw47rltv2/YaRm6anUKiMNgwA3B8YheT+w+KVPM6imqg1o5AJnP9MLhuiUTmsUC6o/HjAWtoRbv+bn/jJ9718/ills+huXeCjvZaQPHpec/sLrl3RHMreXsEToJLB4M8iYGUAarSika+7vYuEjS0TXreSMGvBt4xTNRcpuckxbU21r2s89S/A6TNMZ8a4Yz15/BpzzkgfjUR3+qAPGHferDMdkKzGZD3M2vyDoaOWfD/smzOEotB+Y4ha6YhpIjSSJ9cm2L9CFKE/MdqmsDGnl5DTWihw6cYKAck4Ue8ms+e+9gr6YtiqzCcrJGNI2wKdeYsWN4M8F2vIX2Qo13/9/vxk++7t9jWk0xzxbYLNfIolxsWPovJRF/ElgetNktKvB4STt56tQ/sumt6MfL0LMTwcq12En2mrbIr8vwwm97IR77hMeqe5b3WpHJnuXYrDYg01wyLFFsXk4eawVCwqEkRfGPSTXpW/5iRgowE8kWcc5/d7kuEQSMJCBJMAK+jjMEADbI8gTFAauMDmsieB754XlMfHRpu+pJmONhfqpwRT82MrRJUiQGQ9lZVQz8ehQDhljQ/qw0Lc/ML49nu4wiW6bhRnaqE/l6hbXLVrM6K9TdS5CcTHISwlkUDuD4oJHvnWMdhVRzTIjbEBynmS+vlRiOAN4OFWVUsgbttNV7l0kpgNz8eOz6LecMuee9CRyfaB/MlpQXzqwQr3kfyieRgP5iWqCeVyosSDKGeQR3K4LjZSzmeLqhj8PHAcfzDWpiWveD49pfdCZtUkyXM47lR9ut5ntmn5a/LYqi5aWtxIt/+8qB4113Tf2R8hs3H8NL6d3Xbi9RpnyQrMx1xhwX6Gnr9SSgzuE0bRTMe4VPW1mI9fs26PHiMtdpGkmSOU5AMVRhxkFBnzz07MnQCz3KJ8WaMJ1xVtK4EMhObrIOXc4qrrWKWoJsmoWmQW7XTQbZfRXasXyfbbrUXcoRr2OkJZtmrJpoAYCFxkb39YNMrJoaRV6g3DL9qtB9RvCUQHfLFqvItcYLIFtFYo+zOhqRjcSD07Wd+KwDI8I0vPnhDIpKdNQ1zxqsZyarwgKGWOMtk5vR87yMlXQYHOdz5aFr4PhELk0J4iTHui2kN0WtvVPYxqm9U/joL34EP/6qd2B+fgu78WkFtnFkrHiaUkl7uWtAVZLT22dw4WAPy+wAz3zxM3D9X7sWOAf8+JvfgVv/z81YlDPkTSbmbtIRaGe13oIFVvJJ25q0tdk/sK2OhhxUC8xyrc11uVYboVzW4w7Leqmgb51tsJlt8NRnfB6e8LTPBh7IwK5AlRVo0xqbmpV9E81TQKh15wCMB9jjNrQxG9KPPBU5xGjvKKtSo5K5LZOoVG1ZSQXMkhRltdYj5zSKoxTNQYsHNg/Er/3gr+G3fup3kJzPsIWF9pmcMiXVEtNsjv2ywGw2R7VeIY9iTOIWZ5Oz2HvoGi/+dy/D+swBVmIeeUOng1H9HnOMpnG4Vytv1XZwtzbu1l5NEIGa6AkW+zMs9nbxvc/4buyeO41T1Rm0lMNxdk9dc+4zSbdxYFVZBrLOwuPCOJdcwMO/8OH4+6/8Mpyd3o5iUfb6rWY8c3lfw+bvB/kRoDGkqAzKZeqiZIXsKC64Tlpy9Gsg24QPX+C5A9j9BsxGCm72vsDLqJSmXGCKY+bj5eOuQLb/8zhJ86sdtT3aHnoU3Lu8sbj/VffBEQgm2P0J6oavfitqvz0kiWRBtf2d70DO4A6dEDL5c5NZSf+UZNEYMCAGeTDfdKPAQ8svgGPcEUd/DvtioEAF5infL5UGw4DNWWJtReTQcaE/ay+3FlfFxd7iDWka+x5wiN00ZjsdYYs741jnt2s5Hv/0Lw4Pj8ZHge93H5w99/lLNpDCmWBesFVXpkFZlqjRJFkSCGSO0xgrFnNwSPqH0khPRLI3NgkBxlECwa0Q0ybe5aN92udlX3RxkDmAWvSfKSdKiskey8giayO0bKWnQXvaot5p3XfG3s8kVQJTwmPHfs+/mMHHs9a+guTXIAknoKPXIrbE2lht9r4CzTetJL7sDA9s95Fxrgctjp3ZaePda6b0EBj7/vl9rcHHj+QYb0knaUZ+GgQZeMY7CQGKdW2tBWJOqMcPV2tJTYDxh4rx1evcEMBYNpjO5lhXBebVNv7r234Z7/hXP4HpJkHekXhBXx/GNgaOk/MmQNOLC5ytAUYYA0XhThlPBNNElfdozMdnngKPe/Jj8aLXveiqg+MCpLvCQNouEzi+VewKHI9v6e5WcJxPP00pm0Et2xbTPBdDmYStuwyO9+QPm4NjH5ee48QOTv7PSRAd9cY3CabFDAmNOR1ANANLB7p1kPGsskIcDRaTNJa+8Ec+/FH87m//Lm6+6WP47d/8Ldx004fM/4mAcMNfMcKFWKe1dXSxS4QGnHp38S9CTMj5FMz+RgaucQfGmyq6+Z5C/yHDVGOZaOrfBApCXa3biy085CEPxSMf+Uh8yoMfhIc89CHY2t3G6etOI9tJjSGvQTK9Z3ku6Kz2dFT0buvzEgjbk0KcBRtaUb1Yzo7dQdbsmEK1M7C1l7lsVFt36FhcqsyjKJVvBANs60LhNdHLgV3Z9VaDZbvEdJ6re2dW5piVU3z49z+MV7zo5Wg+VksKUcAjY3xlIxbH8x6Yi4Z4ZXx1BiKHjiM3D/U+agLbJptra5fg6bJbotlq8LTn/l0864XPEsFngw06EsA83iKxRp0JrXUoGBFn0APXdbgmts1R7rnOLNcRwCv0uEn+UQ2ijEVcI3kRnwmGkpwPHHvJkmj9+pkQugd8M/IySp9n2FIZjcShotKlhxQnAceDrAfXB2VLIvo+qYPXcucgTWMSM2ZyqW5CTROOC/3XgmdI8NJoTfqEqgpVLkUA8ta0rBk2JOzsJXOc3yzA0DvEX9uPf1gjLnshM99MMchkPVEcktGXyiXOzPumUlcBpZjrnDgAvSVI1+NYu59AL69y7wHH2X1Gabd8M8NkTQPS0L3iUQlllCglPC1QzSuUs0p7jnWg2l5GTGuxnCJdW9GR5ELLASxekR9aupGhJ4sSBMflnuZ77qXPuk+MV0hShXJC9D3cy5jX/Vn+wOTF8YPid0VRRBe+E31dSXD8VPvR+h+ub25fhQiLdmspjeJGSRzbD21Dqb2YdbeA4570DQnc2In7MDjOxc4WFILjeUPdLJ14F024vt1MgbWzTuxX/ZD0n0RkAzjOVhHqW+ddD8ja4Wyax/wWRit2rlnV3Ve/BGw2KfLNVOxxgeOdg+MyWXHji6ClpCqlmWJyfpTbFaq4pG+fwHQvjkt3mqxmJVUExQmOe3In9yNqkfmh5jGDhjDwBiK2ebFlLq9RZmQoNajodM2Wc7awiQAVvI8vb/QNHLfj04xX+Ywt8VOwwnGYJKqMrpMVUuqOr2Ps7G9hdvMOXvf8H5TEylaxLV3wLMqQRhlKAtDJRkHqdDLHslhjEW+p6njN407hS5/9pfh3b/13uPWmW7BVzWUsy03C9L9MQ03VfoLrKJHGBI06MZM7RXHUJkykt8f/nT5zCqv1EkW9FmM93olwLjqPh/2Vh+Pvv+DpyB88RXQmwl63h027RJzTqGaCpuZ6MFB4YFxbcCI9wDCzPZgIe3nYdMw+7GJwnK1urYPjKXUN2RnQFWrPixMrAuTrHDvnt/HDz3sL1r+/xhmcQVbTEKPCLJ9hVawtDZtQmztBW1ZIE9p7FjjY2kf+12Z47muej+X2BayztRuQXNymFUifSgSHM9/xLEvyTFYhaGoyWDamQtrGmK1y7K7P4Be/+xfw+z//B9hZ7mKBLTEeirpQsMf1MmsYzDB+rXSYhoCZ7I2zzVngkRG+6pU3IP2MHNVpPsda7ZeSzLnM8trhzT/IqvTZ/RE2rVVppTHuGrIEx1lgFIM8PGMvhpmxsVccPKPn2lPLXFqJSacCEL0HRgDHsBI9UTuyNIcCSwg+7qulxcvbc+5/1TACgyyKzwVnNA0sS5dACezLXkvUFrMkHsQI9zZIBqzODNffHSoKMeEbaX6GieiyI+bQZXuE6sAjcDwwj4zlFsADGSh4h1Fgmw0MqGCoyUTGJFLIEO/dsOz9ZbRpzLfD+1OIZuxAHCe3Q4wz6C6HQn0Y2XHxrz9U+/3vSMHq6IK8f4LeYyNguIvF1TKGtKqJOq4IgAtoKJh8mRSCAAe1XhlLUfGnE0nGwh6m5Wum5dLQFjhuAANlVPR3zkQzVGEsj+H+KQQ4mKDTjGtDrVHqj7K7iGuM62CiNupyq0RJ3xnv4hCDLZwlQeogSKaEOeifpzgy/P6hzo0RUK5Y/Zj/9r2CXYgEyXtDXSa33imi806dIbagTT5kkP7zUEpxq3VV8XtUr/U4iAUFmk3b+A1AjcziSSELhrgiyoy44EOgNPDHe1M1X/FXUdZIIBpB0zTFpqmwaLbwG+/4Tfzod78N+ZKSi2QRk+PGvZNEDCb6Bo4bSShE6+PcK8hMGfjGecIoll+mO25kIz6Wxz75sfim139yg+Mcl0kcyzSSX0kWu3xHhPnDZnjdu7//TmVVTK7QMifbSVzb29BCJ7HxrCIb2HIy7iEt2aVFinw9Fzhrb8EFQg3kARynfjTfN3ajTsa3UTZBl0YoyxKLbKaX1E2FW2+9FX9+05/iwu0XsHfLedx80824/cO349zN53H7zWdRriqRjSgnSB+nqq6QpSQhMQ53YgbXEPcvyvRlHc4X5zGZTrDYXeD06VM4vXMKpxa72F3sYJ7P8IDrr8e1116HBz/kIXjAAx6AaO57oylvmlmkKfxY56t30RhQCLSZgVciFmkMgnmW7YvMwUKh0bhc7Jy14eLrSNYaDLFtHdjTMMA2dGmKvOQFPL4lu0a5TyXsrGVHUJOpS4clAu5LZMRv0g2a7VZAY1kXODU7BZzvMNmb4Nu/8eX44//1fmx3C6TscraAogfHDfjuIM1u35WGo36QTSSBi93C/JYUkrrpRpkFPbfiSkD9dY++Dq9606vQnWoRnQb2i33EE/OGEDAu2R4DxgXwkpxQB+NMizvUieKGzTrnGvPPGmIYB66VuLGYZueXzDu5/0r21syT+W+cjyF+sikcuuW8PNenF/3qGG/wvm4uH0Y7CTjO4kHW0vByItkSnrX6ZlGabzyJXIKKfk7mjccOLYsjbf5R1kRgbQD82cTVkOSYYSpwPJX0qxiLfOzEtuJKRd562qCYEsgWj9njTPdKC0NC8Jj9RQ2Z7UamInucubqkZ7ldkDSbEhyvUdFzij/Jjj7kNxU6PsKzHg7Hq5UB8gpiqifUGbL1zO6NcZZkooYtkYVwytAQHC/mJIPeGThOYk3iHSdHwXGC7C45o33Ox/wy8/97LFC9mz5IsrvsWt+kSA4Ejn8wf2ByY/yg+D1RFLGkc6Kvy1/VRz6267odfKz58oOPNN8/mUS79XwfzZRAj30EZVWkbSxw8m5ijt9lcFwnnYCdbH8qcNG+PKn0nfYQMB7uNyDZoXgYRlC9Z5ascrOgCWSddyApvRJ73MBC6h5LClQf5cnw0ez0RI/0Hnyxs4sEjq9nSNeZWkNY8e8DhcCSD+A479oPpiItUBEcT+gKYfNDgTCBbx58HTW0CLjHSNdmIkUdLFGIBQBbMmFxxHgq8z1YeSzRSU6lEnu8UvXUMhxuaqF16rI315CQCvSwgD/A5da2TKYMdbVabOI10oTa7DFm+1Ocyq7FL73yF/EHP/WHOL05hQxTsSPIuqfuZkE5jY5Gj1MB39NshrPFWbSLGrNTM5y/7TzSSWbt/i6WLcYYg0Q3w5FcCYHllmYp1h0lxngyFfua4CrHZL/ax3QRo8o22Mc5zB8ywzO+4Rl40BMeAey0WGVrbFgxDmYrknth4MfDNxfT25LkkBkG52qOiXELx3q8466JWhIsBIjJcOczYiXajFLYIZC3KZqmkmEHjYbSOEdW5DhdnMGtv3Er3nbj23Bm7xSuiU4hKtlGWSJLMtQtUNLghlXYlspqkaQ79uo9bK5d4TO/5jPxpOc+CfvzJTgPQ9I7AEOhfbDHEY4Bx92QSi8ySqcxvm0fYGCbbhJcW16Hs792Dj/0LW/CtetrMa8XBoTzvpJIDuMLBoOgpiY118ytm/MzaxJs4gK35Lfi077o0fiyV38Zzsf76Agwuyb3UUuru7oDHN38xxIJSlsJBjYubUTWLNtp9a3IXkEsgygeUsH0L3SIS/sxyE9YbmUa4jTQoeEmGXRqoWObtBWUgmSKtc8F3ccRQuDFy0EPc+jAuav3fP/vfeKMwBgc78k8Qe8w6ICHpHKU9MhNnkACEzLq/DEJY/HeJblU43QmKjU/jcYR9oFxcE4nPia/Pked1SbGh86moD0Y9hLbD/VBLsmmE8MWm3VMsFg+ag+OKCvUa4gP4LitAWOgEgzo5U9Gi/q4c+3QNfVnoKc2/trx+gpEAzvPLWYZinHO6LnsA/QTZy5ejTsRZqN5y4KsA+MqKpsZl0w3N2Q2BY1xNwn3Z2k8u/Bcw0/rfuP5pX05475NQLcRsCswpwd0POZhbB+UeMTusi4LGfjRg6KgaTO7j1yiiEUprpVph/V8hSKh3wjPzMFwzy5rfCb4ugsdat6ZFrqMjkaAxiQ/PDGHpRH+foIJgwICOjzP+E1wnN/1UEywZNfHzm+UP+R/QlkjrnTpj7uGuQItX+OJ9JMEUrCwwO+Okov8WBJEyJ50pkyf7Go/8OLwoXsYQP6hWeZqMsct1uS1koU5axZ4/y/9MV7zT78PU8osMlZ3ucCJ5AInxtTk3x0BZQ8V7bTNGHDO/4X9JnQWsGjDffIvP/kv4cYfuvGTmjlO9jS7DfhFaQ6uI5IukjzB9Y+9Dt/5E99+h4acJjFimZNF6YGNGIAu70xhXuMMZjGLeV4yx6CcwGomnxnzPAixPgM+X2PUua4KdGQ/5RNsuo1yjmSeIpkmWBVLETxoQkmwvFhvsMgXWCRztMtWrOZu1aHcr7De22B5sEFTt5JqzPIMF/bO6bMEImtvsG4WTCPtLw9+1IMVd3KZU/aG+RWbaUnwIGCHyhMjMayCHrN54ZCxpbNY/GmXXyEvK4l0zTQiZr7CfSuw2DlXDfKwc97QDl+jQ5Ci58W9i15lFxtih3jB4wc/p3tZCe9aIyW71V6VIpekKdecH9P0QY4rHOAA2SLFerOSjvhstsBPfN+P4+d/7OellZy6RjLzF4O1g2b74esfYLge8DAdanZMRJFkLGOyuJXn292r4yMDztXnsfXQbdz4qhvx6Cc+Cs1Og9uq25FMmVNQass9IUKHHuMy/Zn3J3Mi7QM2z43cJp+qlhJhJOeM2OP8lf4STUZEDH9260wIkJsuueRYBJobk9e6CYcKa99F1e9ToWh3GGkI6+Zyz/+TgOOMX8nujguaMbDobB0E7NTh3fC+KFfCLn1KoNAcWvGlZHL4zX2Usr9WwNEeEtGoO0FKSRWC45QKqVKXfHBzSGJZZJyTeDgnWMvcPZyp1jER5jSHlfNC2uOcn2S3b0wBQB3HPEQJjkv+1r8zguN8LoxDvKDUqzfYSI+zwssd+5O+zsDxTuB4WswxWacyPOd8DtOQw0otfsrREBzfLEgGbVzKzbqmjDlO/Mxyaz6/VhjIGBwv0BJPnY3AcQ3E1Tv/Tzp+J309x1lyQpsU6SqjR9/7Fw+Z/iNcj/dGkVCKE31dSXB8C7fgb+1/ePOWeBKfqWZ7aGfUjz0Cjmtx3n3guILlI9VXMRAOaRZRGgBiOWf7udoixgsujKidcUeGKIDio1+yanBIVs1IzpjjAN9aVUsxbQwkPASOizl+38wuTYuslsHCdDNHtrI2HLKW7I6MQayjTbucgwbSv6PMSYlqq0TFqqHro8qAgXwRmTGmZvpC00q25lLvzml5Asb7ypkH0fooqy53bMtJK4HjfP+SBwRb6LzNnmxd22Ivl3drE8C0p0NVedC0E2BIpgxbhnj4kiVFzfFogfggkbzG6veWePPX/xBO7Z/Ctdl1qFaWOPBwKeMCTcOxzcTWSJGhwAZRHuGgOEA2yeQKv64oR2JtUtyI2bbMAnGq4rDNXXKuO8qf0OSEoHbNzgVLaIq0wmQ7wvnqNjRbBZ789L+Bv3HDUwBu5LMN9qIDFHEJZLFYKXKZr2ubw1mGjSfmQ8gUxsC4KEEJgPGqYUAhwTPslIaZAsdloEqWA1sgKX1glWWyj8heoFEHOSiUjZkv5zh1YQe/8Nr34A//4x/hzGoH03UMjpS0FSVPMlGsSyk/slIk9ZN1uL05h9X1B7jhNc/E9Z99vTTv+Zkhub80cJwJ/+EEzuaEtVrqsVQTbK23sbh9gdd+wxuQfzhDus928xZZmslQhUHCoqFWPMHxWpr8qi53EaZNpkT6bHoBt++cwwvf9CLkj8pRTJeI5h2K1lh3l/Nl6adjdQHc6AuD3mlDdoq3txpDgbQU5vtkJyaukeaM+/CQtR6c6aJnSeKBB2lsneOzpJFOyuJpccgQyYCVweRwHAaF9R6YhYfospczAPe/5r49Ag4oW4zoYIprh4dii5RrvYshtCUHCij1/Vi8IohHcNzewdZSSHZ7I0AHIAaQ2CUVuG95KKwSqRmX9IyiAI9bod0BM5kWGdDN5Lhmcu3HY2CICxBnsCBwzc60YB6qIha7rMSkNKbOAMOPH+lxsmH9FXk+FJJZu+8Q7oxb6w/pivv+oOC/LzLft6fRffXqQ3Km6ST9Sp6ZZNzFarNWzFRGMt+UcaSAD/9ypbu+KKxZTMSLkmCuj80/u5SKWFwEdwU2OInBi94DfGnvTRDHwA3GgqlahQlCSb5ERlSRGIMCxzPKLzKGsXmssyycZ0G3tjfK85jLb+FQ4WYEbAw3eTRY98Oun8Mq25uNn1r76U1Cxr2xx6WvXJiskgoO0nA10oOW8oTEF5dLIB9D5uGk5I3BcSb/pukqcIYdIAzO0kigBVvUCQJw89EIhPzFAfKxBFTY53rsrS9WXZ0ZbMzxSMbxZALn5RS3/dZZvOw5L8F0nZq2vTpHOb4zjbUBUc2dgOM9rNDv6QY4mu649IRdMuExn/sYfMtbvgXL6cFVNeS8WrIqmg+TibyJCGpxWnKMpOseAw//qw/DP3/7S3tw3IrJQ7YSOk8MwBkzx4esyM4s07XmWUrSQ2eIFZIqQ3JAWVKC47ZsrTM6fIh1WgvO5DknzeJWbGyuhTIqkC5iLMulG1XmoOwJAVF1uRQTTBsCdKZ/zH2NYDBZ04ztOe4JgU5f1vrBe+G+NW3RzToV3hhPkzFLSUkWvUC/S5qFVgSzMvNfCNsjWWsT88MhJF52lYrTZLPF6UTXKdZt11jnLRnqPUQQPBJCPhhqXH62cqMexeqCeMcdZqNl3OdTh5jMLhNlzgrouhgVC3rSuSdQSk8JgpsWa6iDN+2w3qwxX2yh2S/x0fffjFf801eiOd9gO9vGer3yT7V81cBx38dH4H4AP0OUZOQ05qpmHipjPNCQ0PQT1ZNM4hUO0Gy1+Pwv/3x8/ctegINkhb3ugp7LdD4FNvQfcItmv1czRDfMwJpv/LAyTNyR9057T07jSXVMh/hPi8IyG5ENrOOEIDnFKKRjHXeSpeP1sXuJ81IoQCjOKr6yDqaw1x5+Ht4k4fn/5WVfPm39je8shRuVIw5t9ASwp8VUjGWdr8HkkXvCxM1mp42xstn5xa4v/yCrqXOiqFJk9yqJQRYrDLgm6Cs5FK7vKla3iBpDeBVkpWcVqq0CdUKZz3BpgeFvUkPEWyTxxvckmYprmUWZcmIsdxaoSJxi8Z05Ye65IQmlklgNsmm2yC8z1b1bDsgeHG9SxJs5Yp55AseTXvWMIbxOrHQjcHxFvCtu3JDUMKxDsioCxxOB40Z54VqirArB8RrVrDCzUhFxOM3dIPxuucN795ty3RMjjNcJss2MJNA/Wjx09gJch1+NoqA1efn3cCXB8RnO4Sn7f7J5exzH1xf5eWDBBerguFdlq3sQHNfccQaYtUQHQX/TzSU4nh5kI+b4cHb1wPho0WuYA0vM3nxge3HrpV4wNQZTagtyQneqnMocwnV0LUkexf/34cqPmTrUyLoMs80C2SrTRJXZQqjiOzgugMIPMLVrTag1WaBesI2mQs393Q8kuS9TS02scW6m1iKsluARhGGJnQXT0o/Us7J2qZpM8ay0DSUp1T4kcEEakdY+ZmD9yStvdltm6tIf7AwKeZ88gHUotag3NbYm29LzKs9VuC69Dm//2rdi/3/v49ruesQFDworOJA9zsOKYyujG3gAmkyQ5inOL88bE8dduvk6hjUpzUxaKjxaAMUNluFLlUzM7JKJTNtiyqgyBy6kS1yYXMDpT93B07/uafiUv/4p2MT7WGcrVFmNZJ6hbGpi4l5Yt2BZbEWyE1iI8LCqd3vvk9rRsa7HNCpGjPSthQFRB53zSWuFw2mGIpQm4Wes0zUiMu/LKU6vTiP/QILXvfD1aG8GM7ja6AAAIABJREFUTlVbyDcdptS1TGOsajpC0/kdMiEl85wM8iZvcTa+gPbhFV70o89H+YANNuowsLb0ABQMwaGt03AXfW28VwsxjVLNOia4Mpqy39Z0VBFwgmyd4/T6FN77ll/Fb/zYr2N3tYV5lyGLUhRNI/CZSQDbEm0HMR1+fvIUU5maFnmFva19XP+kB+KrXvFMrOZLrLKlmaJdZsQQihUhuwg5Tfh70xg3BqD04tgiX0bGSmTxImhHDJFjz+7QmGgMzLBNWn9sacwZKDhQTnaiM1+N6WfASShkhhA9XN9wnYfD0ZMEp5d/dN7/ynvLCBhrmq29Q1ElFFhkxMe2GSYOkkoJi5PJFc2ByDwaNwJzwbsJk7YrZ375ftUDxUFvmF00gScSkjI/o5RAqmPOzqWQYPLXzF/AwAL5YITj0ZqmhtZXdVK5l4NrO4uR5Uwntchy/R8t4nvsc9zfW1RkAYyXAvprC+D/sKbGrGC/j1FCFz7+3jIXPpmuo992BSBYCZ2sLyWdTNIkQzcxwNaJCf7Ye4zB5ALM1FUyKgmB8RagsTz3bAK6JBVIt9e7G3p0diiujuMogaYqcLL7j6wzA8YlIxRmHs/bhF19hTrSerbZIXIL43Q3YR6dwjbVLe4LuuL9cz/km+FrzgdqWIf2esni+aFP00BpuLI4SxlatexPDEQj+CLQyc5DJmUmTRMpdvCws5dW6Qmi/BgPWSW11ssj2foWo09t1gQoCOI4sBDaVHryxzCrre3/8NfVOv94JRwvAoXI2KWQov5Aixc87flYsC2/TRVrEiyYtMYc1ziA4LiRByRX4/vjYT+DQRKL/z4GxxVPRDUe/TmPxot/5MWf3OC4m1Oyw4kmiiJhJZG6LP/Skx6Db/3hGwWOh3PLYkUDEq2b0wBA9Xp6B+6wvobzz6ax+Rl0TlAiuJwdGGM5yFH08ZtL6rV1g0meCqwvWjOTo0Ek8ghdWmPV7Nl+k7D40aJpW2RxhnyS632zMkW37IAVlAsh9i5vYmahLj0K2I2IUaGdtWinDZoZu6vI5iAR3AA6gu5k21LCw/alQGhh3mUkKu15cYt8kbl0k5nKB6PgkPtLFXkUfw84ua/KQ4v18EoNBfyQYfT/OnpNXyfUMe+eKh7rECCrtAeSQcl8md1CQEINaoJsbkJMGRqsW2ADfPc//y588Pc/iHbdII+mWrsjKD+oxY9EdsK/hlXqmu8iAjAHrNWZK/8UZZ30zGql9b5JNqi3aiTXJnjrT78V7XaLvWYPs9MzrOu1tvBgHDkU/l2W02eplOQlu2KG6MEcnfszO30mZat/N8DBcl7XnLOsNOi/Bwa/dzdTRkTFmtxyE8VRKnQ429wgyZ7FOcit+DpwE+ZDxIHLCD5OwhynsWV+kMsQUlKXPF8ZuxL4T9iFzXVAFQOylcnCNnNkkxkzOVMDxweA1fAyy8WswG0xRUQCSRnpmwUQPheC7vXOGlVS9OewQuYgkebxgsUDPE9j5Iy3iwmSDX1QSK6y9azr5fsRIKc5J3NFL4QO62ss6RcKF1cMwrzkpxfAcXagxAXBcZMAZm5MPEEzUbCQaYYTHF9SRo6dM+77wnsTOE5i6YqdFPeD43f1QQgcrzNEywmm5RxVV/7B1iPmXxtdE/3GXX2PO/u9Kzazuq7LcB5P3P/g5seTJHnQOj2LaIti9PbxBn51uKfA8fGmIz2yANg5KzFojqc83Hvm+DFti0FGJZxS5sJjbdMO8hpAZQEbD2K2nKiFhSwRfvcmhZ4ea9QDUHi1QtuTTx8ZNkUlcuSYb7YEAiYr0wwL5hjBLMzA8aBsSayC4HhplTBWNzNjzTJ4S8Eq+ETVcMqQkDXAzTkYGIQr18HkmuYCODTH2KLTgG7dNYFxmpLEZCYxAbP2V9NWS11f7/Irbz1o6ocBr8tavKwIQ7ZfQ1YUq9Z1g2k8w6Sge/NUrYGnNrv4nR/7H3jvW9+L/LYFdnAKWZqgKAsB5HmWoSNpO8k0XTbVGnw1jUx2s12UbYWiNc00D2/V5iNWt6Byk6Chuemqodp2hWTGjbuWweWKVfzFPp76FZ+Hz//apwBToMg2WKZLSV4weGCrY8KWuYgGGnbHcqTmfKeeJD/Mn4HkXUat0AOsPLBSerbXqCpv4LitBzk5qxPZ2G4Ex6nBfZAuEcUpptUc1+5fg9vefSve/u1vR1bNcTraxmJtaVaJjl3caONMbFBKBsr0ZTKRPtqF2RKP+IKH4u+98ouwv7gdJQNy1wsct5WGFXrn4DjnnM31dlKqFKF56Fr2uqV0IqOOU6sz2PzhGq/9+h/A7v4C18Q7qJeVzIpiAuVijlMLnnyVAI7zWVJLiyyHDqv5Ch/buhkv/zf/HMVD11guVm42dHl7SADBbeStYhfAMtNQNRkVgePs3hBAbow6tZrzl4O3W7gEaxTp9QHVNUNmBs3IMtOuVSeFAh+nggwShl6AOT79HxKPYe8aM/1PvqPd/w73pREYOsKGgL4vgLu5Hg01pSfsrbtkiCqJ8FZl7pN9bhvmcI86OhUtrIseIB/zqKyxVglHgK1GAJYlCpZ06bxydpLYZ4yE82CIZCwnw+pME5Jzm6xA/bctVgP1xg/pEEEigN32C4Yh3lGI53v5x40AD79nuPN+f9S935dmzSfWtaoAS2Mi6bWSOWj7dCwNUktw+zlgmJjzAW1OSZaBp45YzdaGzcSU+7WY4tJkHdqu7ZgI7f7h/Qw0GheABjIKu/3cf8LXR+h0szXhxpQEJQLQNARWrvM/xI39+hAZwVvy+zl+GP62RTAu8/SRo//BpZT67j+f1b6WeZabORxZblZo0E8HybmPqFMksBYD8D9eD6M1HcYoxK0ExUUOSQ28C8z5MA6BSzIsMBv3EIcdvZt7emaLZ0rpA+5vCdTenN8ywz/4ghswWyeYUWe8pYQKjVhnLqtSqUPBJAj5dRgcH3f92n3as+c8Dcxx7qGcl4964qPw0re9BAefxMxx67uk5nWMqmVxy7Sw1/UGT/qyv4nnftdXYzk7MGGPUeFIQKs8C2zW8BQzftHY6M1FIw5JSwzgKPPm6dK6e1VDlt60e3N4BwW1uAUkkx1K0DqpUXQbEcjSrRjlZClNcG5TZVMJIJe8B5mwRYRFN0dGkhQB+DJCW3Yi6sSTFJPUzayHw8iKTOzSyCq001YaxpRatJxiItbqhFJqzC0lZWiscSPmUE+5ts6OzIhtVWedjTrHpTduc3FCE914Ylrv4zP0yFkYOj9689DhZDaetsci44LE8cepFdptC/fOtIh65+wYYtHOgDjKqtAUUPrOfC7LDnk6VXHhl3/2l/Ejb3gLttI5UiSoS0L79sxVKHcpuLBt2sk/SGRaMT10xXEeODjeULYylV8WmedFV2I92WCVLrFZrPEdb3wVHvOEv4j1ZK2xNU8qk+ZRN47CFMNQDCsZAeSO24SiJM8zEXPUyROhLWp1/biepbPNmYON2OQ+w8NMD/RzzRN5aZiUnbqkJBnmhslezDxaiA0Asl33ych1JwLHqwzZXoa8ztGxAB0wJUqeSF+9lMElyYHGNjb9duvO9ZYLGdKGvdh2gvAVQHKNNzGYksViFpXoK5fKRLPcXanAHfx4Ak+jLzL4+WsxCmVwUq1nGXNWsbpPiKVJ9iahP5yx3Bl/cB/Tnh/iXsd7hvYBp3ncYYx7956Ikq0l3kK9/3ImcDx3WWHjyHF92/7cJgaOH2wbOB66HXhvLNgFQ06u3TtjjtezQoUOGhObJN7l41d37+jc/e9usko5uoMIs4rgePW7W39h9tXRmeh3r8Snf9zU6K5+SEcdhD38lYM/3vxknCQPWyVnMSE47l069zw47jCPMxGNBRmYZdauo7YqguNs7ei1SkfBZw+M+6bhwHjQ5AyMSDpYE7xi66lVnBtEAsXJKgvAZQCMGITY3xpx+b6bWRL0LWHg+KLcRrbMkKxSa13ThmZQn4IJo8P104kMEm7a5XSDdk7jUspmGRCQdhPklFPZsMLoFX62qlDLiRU5STUYbYBbOxm3VokzMINsvJJyKlMzwmxjsrBpGmFVZoKNtInQAW18nbs6zQ/9nocUOszNsZmJk7XpqZmQwRZdhjkGdYQ8mgscjwncJhGi80D+gQne+uK3ovtAgu16R+aRTChCGyMNSTiKKQNBHn5VhK3pFg42+4gJrKqFjiNNznFgd4WAh0Frh3SSom1NN5QB4/n6AsqsxPwRc3zFi78M1336A/QcWUU/wBLZboZNuxGIznGmPiiZKW3doqHbOwOyOFFrNGpyF2wE+8TVR2nMqBgduYfGUCI6THKdvWla29aeLHC8m6CISiynLBhE2Cp3sPjIAv/tVb+ED/zyBxHHU8zbDKeKGE1bYUnW/SRBG+dikiZlZb7rMbDMSuzvFvjKlz8D1/1fU+zPz6GVPtugtzhWlAt4VJ+r9/flWq3kTlNCiIFdvNH8YgAQCkEkpbDtelKl2F7vYHs/x8+98j/iQ7/yfmyXU0RrasKzFETt+KkCdWtCrVBHDMp5NcbG4Nq50J3D6to9fOELvwCPfsajsT61QdmdUFbF973Da8CeidZKaewO6cUxsKlT0/0PJAQC3goS3Gk57JmcGi6dRAmVliCgWuWMQWddBMbk7cuEHvzoWvqgM8D1gcXvzAfPSExG6/6vT8YRCPtGkE0xFS8v6mj/iJVMGwPG1qWSKkMILWkX83M8x0ZJaI/7Dmh5IODaXjeGrYYuE4ed7X1ZOJePgrVgM04IhoaW0coBtAcuwnuGeD/M7cAUH5LsAMWHndeCcf3+0Q3L/+4Y6LDnjh/K8F3fcVzcPILIh53winRefTLO3StxzyqeyAiNjKwEKRmRawOApAMs5zH/pDBXHYTlnNO5zeQtZvxKYNw77ugHkZJZZzEFzzdjmdo5LV8TE8p3TCIAHqZk2q+WkaGm5BUY9/oe77VwnfOKX3wNhJ+OmHjnp6P6IzAixBahGD2Mpy9s/UVf9rV/PpLtkDVLHIyDYJ37lFMwmQQbNmuRtvZdNzglOC7vG0qvmImcBfL2EeP1G/YI/xdfazY+jHEonVfMC7Hl2OZvfnZDIU1yi1bh6m8vdMIO93u0eHUlZtZde48gqyJ5maiRRMXp/TP4yqc+E+l+hGmbufTSScBxjxOOgOOMiR/5xEfiJW978Sc1OM7o1SQhJsa8Tjo9C8bRN9z4bDzl6z5XzPoBxHMoNBSHXWZSOekRcHysIy7JBZfltoJGpFhwzm7hIrJ9RG/A8zUFjW4Z2xEb579RzjHOIkzm9Nqh0GOBZBELxF53G2wYaCYx4pzdBjwSJ5h2OSbrCDH9pkoSZVIBR4FTEVJn2XdwiXD9ENhk0YkgG5nj7FSU4aCtV+nTbshIz82ryWps1sXF/J3dHEmtXEkEN0IDTn4TQN4RnHcGiLghw6YSgPAhmmCYS4b10fVkf9HL0Izyp4GgcnhHC//lr/QtxbpzGEobK5hyIN4RV1EHeYpFN0Nxc4v1LWu87Jteggu33o6UdOq2QZ5SxoZ+KyYHN9bP7v9LxYqQFYVilYHkNu8akY/UtRSl6sQpUKCcFjJb/ptP/xt4/ku/DqtkKSJAURQa83m+QFFSssZIhqHwP+x2to8HxnZvTOod0cZ+NoCdc0WeEfKJsOKldZoPXlCO/3vHUOiAImPcJFdaxWZulixvDTOjHjwtvCjs7HQjgjnx8QQZyEnA8YyyRhcy5NXUPZrMNJbztqXWODXB6evGzvmJgcyKfyV3Zjklm/xNw91Ib0IOROBgnk9LnUYdzgTDI7K9qQxAUL7JUcYlNmdW8uwybC3MD3ZFWsFBMjYs6sgLNMGUUi1UAigmmJQGjrPYIyliefVRVsV1YVMWREO+OCaZWrxs5+hx0oF37fw66W/14Dj3JWeO5wW73RN5vFnxy8mEyUb67PuSETa9fJlNR60M0y8FHA+yKveD4waOt/uQGXjRlv9z+5Gzr4p2o/ef9NkeEy5e/lt2RByXePz++9Y/lU6yRy0n5xDvRCjZpimtYGNGmCGnG2gcCvsu/bOPnjkWmB6pkPsCCpWtwGjhLp5W5nJKU4ehnSQsOL+eIdIfgah2/MnsgfeXR3KtppEeD2Yz2KE4k7VcBwCc12dB+Digve9COwKFUSGL6Gy8kCFnsmZbLzfKoMtlGy9TuHFDqGDzuDIt6UWLctagILubBuFtgtkmQ7ry9reWrZtMHgzINKKPJRkMVkxX1o5VaYtRUmXeKThaYSWHZSo3mWlmYLCTMUAg5PIrbyGA4EbN9lqJaBAc7w9OshBKVPUGs2SGetViOtkS82GDCrvYxtaFBd76ojej+YMIyXkK1ANZRmAXKDcFFvEMRVMoSYrjBB1ZkNTW7ii1EmFGpxkGbMZrkHEM+QAyhdPIJEhisko2qNIN9uILMjD6zM//q/jbz//b6B7U4CA9wCRPxEKndmRFnT09wFbeqG1TSwuQbIk4ZoBKxkSHrumQqh3ZK+gOaI4rvfZUwhwPod0AH6mazfZcBtOePloSzkOcHWIRNm0BcC9ZNThdXoPuDxv80Fe/HmdW16CdpOg2Fa7FTEHfelKjmERYUXt9kiAn9sTqc9bhQrbE+WvX+LafuhH7u7eh2FqilXmG6+7qsoa1GZLYoztTSIBDFV7GeOpOcHDc9Um51mnMGzEoqObY2d/Chf9+Hv/m5W9FdgtwOtpFp7VCVj71Yvm8JLgglg3nVJzlKNYVppihzWqcn96KBz75Ojzj+56B2+ZnxbgZy6och4sdBcsGqC8wS0N5w1vBBH6YpnizbNW5QZYND30VoXhjjQViQhecldODBGLv0Hyskp4spVRaguiuecd5yjlEDUjUjkBq7oyC0VARd3DAyLOhJXBg6d4Pjl/6uXnJr7gT2Z7D9kRH8KeRJFEfbIxZ1YElPYoDLFkYnez++8NaHDwLxARjFwMLVGpgicBiIgFyJebB6GmsYx+kgPxjpEPJpMHcvEy71fXH9bPXDz88agK+DhNiQ7mmT5rIuOX2LFYuJSrISmLrrgByvneHtilMIvOiMTBITIbCYxSgDxfG4PjF13bRM+6B/DHQdjT2GJL2MTA+PP5DO0efaN5fnrrkFTV6wZEde/Sfwyq4KNL1QrR8kZV0zgiGMHElI4sgOWlX3F9DJ8+w1Vunl7PzqpZ9+DD5P7LNMvp+0FQ++OSYHwe78hK1WvM7AhurOUfqXifc46hRJ4PiAjVZGsApYEmIkIHkkjGhDIyAc2dn9uywgAvba8dfxrweZOwu3p6OztPjnw9ZX3Z8GcmCHiwyLic4IDnIyIwHGUMRICdQTh1ysjPF0DRDap2Jfo0DScDWr4sy9SZ9FoOanAWT3HVWiCkXpQzwyMAmK9rY9HauWzdk37jqMpHDNLnK4DiLG3GEoi2UqF5XXYdnPvlZiM9BXkHGTqYhW25gDAkwIraMquj+eCxuHKo5vZSB9urAHDezRMa/Vx0cV1ZhvjZoS4ftqP+cY3uzixu+8AZMbgGmFeP5WMAhQSM+u5RgkrLEk+R/doZwkU0iylmYQeSK3kSLCb751TfiL3/Ro7HOXZM9FFuCr/PoLD5OViXkrq6MautBMmGWWzBmnxUpkoI63mzZdWCc3bOqPNv6j7m/0FeRxplMcUjomNSItyZYxWtgZsUV6nvLY0NC0bY3zBqSSCKTYmB3jIzeg98tySUGzFshyeShKNMkcz8B5AZy8hzn65mjTlYTW7cRtYG59hlvU/7S4lR1ORIgZ1GbMivsbjFHACN6mVaHfh4XGgVfK5u2Azg++Af46lWDmIHPfZ50jJRSnz31Jr22YCz/CLmLd/dorzCSVl7PEJ1PsGhzfP+LX4ff/n/+JxJKyzmo3VQNsgk7OizGCAxyD7ndTFfJ9lDwHEHlVog3QD50KpOnL2brKaA70+KNP/l6RKc6bOIVotRy9WSSoliWmCSJYqJQ6LTPHcd+Fn8dHeOejc93Y0ez5Fa4J1Py0UBySmKRxMO92/zOhtyuJzWMzsEQo7FrSvKPLuvB53/YB8Nzjx7VDjv8x48Bjp7ix8V8Q5w8/lfPffyZB+kimZGeT5FxjYhw2Zi0L8mZU6DLG5QT06g2bxqbG8LAJFFrUqs6ZfruEHahuP4637GukMYExxNJtREgJ6k0aTJUkwrlKWOmh+KFYnAvNIsERVNb7vcOjucNdcxjRNSad3CcxCqSVORDx2tlrpgbk78KRrgj4lR//utsubrgOM9xSs9MymnPHGecwI4ODgQVo4TPJAXKmTHHiQkknK8804iN1ikWyxzJmt1+/HvTHJcfis4MdgEUJpEz9ecpWaMgt3iSM+Tjz9u79TfC4vb1dCx+cUy0zBXB/ZyGtPV+i1k0q4q2fO/OX9x6bjSPPnwlrvm49XrZ79ttukcVf1z/ZFRGn1nEa3RbDTb5xg5Cb+Mgg0rBuRgjtvGe5NFeNJi+s18Mx9mmFgJ2bgbUfs73Z2pL6Tv8e9YUN2bf/EfMMqtYGqAjMCcjU7lDlXeoUnPZ5f1KYkH7mx06Q/BhwXgAc8fss8se+Kv2wg4TOQ7QmCfThiktt4L6Z0wmCH7x4iZKNizUt8OEkCQTgIqtu4sGq8UBNpONAI1pPcPiYIF0ZVpa/F+o4oaW0rAZS1OW5hAyoCitRXVGJ2UrXBC8NzaTVaJDC6yBx+EAurwZGO7IDgNvOfN2Lv2bzCQqxG7EKt1bMuDlSDvBtJpha38LH/zF9+Gd3/lOXNc8AGkzxarYYGtrgfXBAXYw0yoxLeoWpWRHqMkuQQC9P0Hgro2xQYGtNEdRra3qywSMI83kJV1jLz2P5gEFvvi5X4zHf8lfRb2osUoPpE0WCkumlR1SvOGAPrxRhNH0tdAnN8Pvh3DvKFvLhtzejVV7SQtwPgR2p1e22RbH18qQQ4c1EB9McHpzDX7mFT+Jj/7SR7B1sI1JlInJlnatAk0mCHUUoYgpmxNjK8pQV2sscQGbayo8/tl/DU95wefg/PQ2lPkKHQGEvrX34oV0MSzhvyNAmEmOjdeGc00NEwbWZQo+XOKHRbIowaJc4PT5LfzMd/0k/vw/fwC7q23E1QzTdIpluYc8yrCVbmFTUlYFKBjoMEAoamy1Wwpa9pLbce3nnsKXv/HLcXZxK+o4tkJID0QOV6yneITdKo3JMWgZk3Fv1X0e1klE3TPTZZxsrDKrFn0GmypQmTQEmSoK0tgapL/n8xxYsmIBxDXiBQMw76hh66In++MgsF+JflD2J8JFUfEQJI6f1OWt3qu2ad7LPviOQgAf1UNtozZx+rU9arMNN2UJtf2XH589w2PQk3fgKciSKfD1IN17rSyQZyJq7bEqlMmkietOLjcGrK2tiBMuzD7T9FR1DWO5k37/D1tQTxHtr9c6yI7/8vyqH4NDSUCQ1vI1wKiYwT4blAzoMi1LYyKFqMclWUYfd6lz+Q73pzubZf2COx4c79fmRe9xfHp3qdd8L1sAV/FybB34RB3zB4e141Jlh/Y7B4cVWU7YAZlguqYheiZmpLxZhF8ZkChNcRXVjVhg2FMjM2T5siQtSMhUcx/BWQJFMt00zVWLYC12NtKDNfZzIvdWLwOicqfjGdaQR2O9vFEvt3ZsNnDxLO/J2kcKcMPOc9ceK89D3YptFn3RYZjTA3txvH+pu41ECHZK8nys2SRi56cPmvn+egEtYCnU2g4AOTexkuALpQbY0k9zuMTOTQIP3C/66eEdduMisT2Ck+VPd22Ujv8tA0CNNV91JRbRHLMLc7zg7389ipsKJa7q09F8sXwvxO+aW/oK3aRBT9Ziz54xGhiqqse7HrCTcqg5flVlVdQ5wftj/FoJqG06dnHMsVvs4Kue+lWIb6VpYMae1b6TgbOZUhD8aZDV5X3pyfPoa1qBVxqfbIK9yRLr+Ro//NNvws4jZijTjfIjEWkt5WYdRmt5vB77dTC6nONLL/a3vAeCkOxWSde5MVhpHkVeGCcq9xN+kLaiAFAOEiYkTlTblL4kWG4GmLwokwkx74S8mSHa0BjXvG8ov2gMVZsjnlS6hKkT8JgtpQ2qvEQ9N78p/m5cpZgWlLbkeiXrmPJ+pi3O4pQabVggFEhn57fW4Fh8RPl/kKIOEjTDgN21pznsZ4fH95i1fCcIDT+Ly48dvJOSRKUYdVUhm05Rk8xU836n+O3/8jt47Ut/ANN1hsy7ObjnFHVpXlaHCAi2Vj16O1SYDPmuDbqXdahnTomHhtlph2Sa4Fy7h/PJPl75hlfh05/0OJTpGu2kkISWPznPl0dVv+Mm30Vl0SPrRGtI1Lh+n1F8yPOPQDknPMFGzlF2c7Or1+VYQvovoF35jPld6ZlTgzzjWWj5jP7NPSPEzJa0zsUnTXj2Y3zfjxU74nXEHKaTBBmjfm3aMaRcVrOZv++s/qADLl+MslN+Nt0stFYk6Uu2e1ojoox3IGWoG992GYs9hxjUhtxikHHWKHxLDyr8qxNGSTphuq416HJaU+v6CrG+jco4nmde6RqBNblUiZjofC7tqhUxlcQr4YGRG4my82NKvXSuQ+4NoWDav3tfsLi64LhdD1n17NbjPjil0kGToonYAWPgOMemmZQo8hIHOzW6vEVOwh67+Sf0M0kxXebICuq7W0dEWH/qumGslpdoZjUoq8Ln7PpOJgd0gjPk8k6eK/SqQzjT4DES3n0ck/Uz1TuepP3A/W0zRbuRjvCFNqt/bOtTTr0i2oluvxJXeCdb76W/fbfuHlb8SfNvo030ZAbe3aLBenYgcCSA40oYxUS5MuD4Xb3K0I7ctz51nUDx7MJUQVxosRLo6gvccumRw3QAzgNLjTOXlXDKeExb6SVRR1vgeN+OZPxic5cNh7ppFSk4GoFXd/Ve7i2/p/zLD7WOXCLqM7JlZjNBXiTIW5ox2cYo1QU3j5H8hG+g1KSnacdy+wLKeCNH8lm1wNbBLuIlDzRveyNDn5twL38Sb8cAAAAgAElEQVRj7fMC34nBJw0K6jplFbqpaVbJRMqD8BCU22Hkx7zYS3ctnDl+zIP8g8H9od2wPwiprTgyHzINL4I95rqWlRmycwmyW+d44/N+ENOzc8yjHRRrall0yCcxptR5FkOLEjaNQFiezFlFOY6IZHpsmg2SaKpEOZ50qKq1ArqUQPkEWCYbtVae+ovb+Acv/Sqkj1qgyNbYwwG6nGyusSP0PTe7dFCzVKp2r2AAwko/pUp4+PJgqNFWDU7nu8gvZLjwv87jR//Zj2Drli2cak6jLa14MtFztrbuesIuDmq/M6AGptME+5Oz+Eh+M77hrf8Es8fOUC72pcnWUKf+DuGwOx8Lxv2pJwJrgthaDCbxQ818ifbEDZb1CvkpusV32D6/wNZHp3jTP/5BTP4swnZzRqybaMI2xxR1YQpwk2mGoqNOPAPYBIt6rrlcbK2QfvoEN7z12Ti7dZsMj5WfjsBxY/J73nBkfyEYoKPXpz316EOCxlZ5Bl5kiseU/1H7Kd3KBxkVsduYOHjCkRSMIm0NUk6KhRYmJkzyyZbl/mjBpTNEjjNMu+em3P2fdNEIfHxwfAhJ/cXjooUHcmEXHRKoMTjurGzJ6AwgiVhbPUPSwp/A1OY60p7NJMflHBQ6hG9PgtI6701xw53YWrh4Xw/FopAUjLvFjpsYfWLiwJ/AcAKN/dqi+ZmzWFk08rXBdWDfARAPsimjqoGfm/dPyE/mEegjqF6z29qFvYB5RJZEUyYwqIKxGM8gJVdzZJspkoIot0sMBM1UJtvBlJPvwXgpZqxKv5dSLMkg6yHgXFIq1uFpR+MhqPgIk+/qMZev9sxhUp/4mDNfjWsW6V1jXYaddg6HGN8wByPN9N2kjFpiasQ26rCqcoLjZONRWm3QeleMExJDz0NsP7t6qbF1ck0wiSPUbYEZ/7c/wwu/4kXYf98SU4KlMmF1j2PXiOdzk5GhHmAoEBkoHuR+gsylRVE2DxnNc4+V2M+9wZBTeR3lugwcZ1xFMgrB8VObHTz7856N+DZY67cTMEJhhFE9v04CjhPs4jiwU2oxmUvuYxkVKLYqxA9J8NafeTOa6UaGeexCZEeEjOIEjtsecxJylkD+lqzuBNPlDDmBZ+oSi05PzWADFxUVE5wcy2pOGskxVDuVJB67SeXgeGvG2gLHE2TNDNiQrJEKQ2BI6cRW25ZM3NcATQ2pdRgI5M5LlIuN9jp+NuPabDNTjqrOx7ZmhUtnOBnrlDxTcZDsc8a4Qfva4x0rDgYjU9t9rmb+zmfHUcsS+qZR24hjF8knar61jeqgxmQ/xr/4+n+B237vFgFJkoiaZFi1ayR5irYKObUR9uxEMlZxyGd73EIrkdkJvwmOM5dOxPjfni6wada4UO0hvTbHX3rS43Hjq75ZOst1snHjR5N+UV+9P6u7WFM9dqv3nUWTmPfdFw655wSfGYLILonFnyT+iIgVUB51Njlw7HmKpEBYsGRsd8SUWoa3DjAbIOzB4CjfOu5iQ34WwPGeMKs9hOS+firr/I+JH3lHOGNijrjy2TZBRpyl6BCvY2TFQnObxECeGU1WiTVuXlCh3yHM1aEIwJxfIP8hr5y+FnuIQBXiakq0quLrX/pTzFx9DPr7Pq6zybo62P1oD51AcqyODXYMdxvD4MhEp3Qn5526rZNKXnQEg7l3CTP05zUw04MiwdUG0Jgz0xOBuFeEnLJ2TcZVycRXsioGjtcosgrL7RqY8l9LdPSIiBKB4/lqipQAO31N+kKikXdYrCtV6KttXIgvuvmq5uN9GBy33cA6GkTfcKNbhRauAhLiz7DeQscMPS9m6xxtoS71j3XT7nXbjzz9xiiKLlyJ2PDKguMH3QObD7evaZbds6pJGXfzBpvZ0oAUtR5ai7GIhp4kX60Hy8RX4Pg502wKAz7eLExTa8xoGHYFM4dkQmxtODXNPzIuZjM/sBJb4McEYNyGm5uebGhOGJxciQlwkvf4eOB4JpdjY5Z+PHB8tb2HkszxJpbzrMDxlenWcb5IvsbBcWMOeEuZ75slN1TqVU0rVeakb0zNbG/zvXvB8TASVgixSqwiN7Uv84SwgI7tzjwo2NbEltwE2X6KtJzhvd/zX/EH/+WPMGsW0nlO8wRR3WJGdqSHIgyEaObAQ4eJmd4LHbI0w7nqPGZbM6xXB0gmZlYSTSe4pTqH+nSNx33hY/GlL/piIGtUjNhrloi3KKWydkPPk8yEy32tFRcs6AyaZTZyam1WRBEhb6fA2Q6ncRr/4Tt+Gr/387+Lh0YPRrYiM8laOM1WzLTf5f8lYyAyT2KssI/2mhrNX+jwgrf+IyxPbbCJ99CQMT9qE7zUu+AYk8nCJKVQEGWyPUwYch1y1HJloA7slWvsTk9jtj/FVjnHn7zz/8M7f/CdWFw4hXwzxyyfSR++qNhuGGsPKaoNZtkU+SQH1hY03Jx8DJ/1rM/C57/kqbhlehu6sC5GgLcCL48ZjgbvocLvKaclS2I/uZ4sWRZkwlE7jZ4MlTMRQ/1E1gHGsFDCXrlcUvBcIIM+rdVRoxbFoOk30lUexnkIpC517O///Ss0Akc6C8Zxlp9Wow+6GHC2vZhfgXU5FAzHV2jcU2Ob9vI4Ogxd59CBH9sjXWKIZm+VaWjym62gDAqDoSb71Bl4h3K2JRyD7Ipd1pEQp7/fcBYfP469iXYfpI0YN06CkzQEkyjXaFSsEADywBR3T4vBf+FoyHW1IqArNH/uf5sTjMDF4PjQPzFKXEcJbC8b6AVRyZwUMbLVFHk5FYtcsgM6A+l9QymEEG+7IhZZmtQVd9kBgkeBLCjNazfGvBgcdzjiyJo6Cb3gBIN31V8qoKKaKbmPCDLVEZLa9inzDxmXCgOuQCadgeT2RUCAUjaVmOOUAqzIHifQoVzJzshxYhiAllDsu1rjbzt5LFJG05WYdlPMD+b41q95CT72O7diRlkH98QxuyYzUOXXScBxtZmjApnjL/6RF4v4EbSBjxYLhk6mgR05HrejzWmXNqkidBOeVTyjKKtCBv1E4PjpYveeA8e7SKx9Fm4vdEuUWxUe8cS/gFe/+TuxnlwQ+/LuAscltUQi1Gqq4hz3Ik1tdaFYcVizXF2zI88pAj5piZIGdWlhDO6I+5BLlxwDjktWpZeE8fTawckAjvMzZOKX0oyThQIHxzlTCbZT/qCiPCVZuUTrrOAi7Ws/u5lDWNE+SH6ENRgKVIOR6dUEx22uEoDsJD9pki8kFADdBjiTnsZPvOEd+Kk3/zR261N6TvN0hk21QU3STZaAqloGSoVMKER9zBAMlLXozv7fMlzrhbe/mSBOYhTNBmVUYLITo95q8aZ//xZMHzDDOl6hTmiIKgEuL4BZkcbSlJOBmwGrDbJ4Rnjg7kuW+ER7suJHkpUYP/K/g/+Mt/VIPdw7pvsOP4KORDbJ72MOF/ySmM94bKdu277zZSAjDeM17CYh7xr/DM9PpYYxOM5imz+PwMIeg+Mp/UXIn2NnbzE3cJzF7rhASx3R3IB9zd9RP5oVarkmB630w52Vo+sNh4oz148tYpCY5RjWwIg/Ao7LDsFlD0nwpRQi212aToa7JF8dB46TIU1wnAX8AI6H/CHch0f749r9pW3fV+S3eaZRdpQdNJGMqCmT0rL1QDrsARxvRJ5dLoy8mUalSfqyuFqlwjI+WcFxWxMGjgsrFHvaZm7A7wKW2neUtRN1HeSrHF3ZERy/Kd6efMf84dvviKJoeSUe7ZUFx7vuDG7CP9qcrV7STOotGgLUXrm18pLp5xhz3J06r2LVg+zb/ALbGUwnWlpMOtUP4dra1Pugi5uobsGHjhV56jOyJZKsj5SSCCatIs2lAJY6oDu0nB+pwF2Jp3kPv8cVAcep172osdmhvEeJqCbrfIr5/g6SDdm/zr4ZM8dHrRVq7aXWHosSNP6bUq/K5DoYQIf++sPg+HCQnYw5HiRILMkJn6HDMbSMSHamFajDA5u6zSwA8NJoTDGjMePtGarfL/H6f/ZGbLc7AifThGaIDWagqZEFEkwoWEUkOD5pDRxXEkYZkWyDVb1Emqeomko/bytuw/QRU8moPOrvfhpWmyXi3RgH7QHiRYqD4gBpZpY+V+MrMDeNjeEMELnGm4kOvxJkyNY5dg52cdOv3oQf+45/i9OrXZyqttWWRTNY7wGTniPbIaVaE0DqKMZeex63bt+OL/qmL8HjvvKzsNpdYtMyoWrs4L7Mmxc4LJZ750ULS2Kp65eJuWDtbatmA3abJlGuts75wRTT9RS/8pb/ht951+8Bt8bYTc6YAzj13al1iAKzLEO3DKh0JM2ys9dcwFe8/FnY/ZzTKE5v0ESFSvJai0eIfofY4wOG2TMT+SIGNxwDVr9ZtaYj+aSwliUmEWTBi3XYS4EG3VgfNd/i1HbIsaeJETUbqdlHoDy0I15U4eYF3Q+OX+bUu2IvG+NcRwPgQ2B2/4lDyGBFXmu/VDAjosMgvRLeu4+zPZkL4DgTusACU1jANaNv0zZWeyzd270t1mSpCDo570dGVJ7A+ty3PTgA8YdIr6MxG9iurkg0UGZMLM0TY2OjCShnAu3yTsrx1bEhrRcvoAfNZPspc2QumgEPcOA+jJ/N/8Eo7Yo90vvf6D4zAjZXbVkcSmMDT2pgw3lHowF7dmKz+EujOrb0JmsWMjOZ1gXSRdPWiCbWqSEvi85adEkcYBKtOIkgOXU+pR0+Yqb36/jw6Rha8MdDfLnn533mMd3BhZKBmDdT0yEX5Y065AMAI35i2AT9/OzB7t7D08TgJD0mEzXLJdSB5ebV1tsWpG1Ge1sAda7SQAbmeADHsybD1moLr/zH34EP/OqfCBw/KXO8z7OOMMcDOP6St73kXgWOj5njN3z+DZjc2t2tzHGTNIiUV/BrFZfYTw/wxV/7JbjhG5+FJl8rryJxQwCcn41JkAY9ATapWJdxdmngeLLJkBSU6XBw3OX3lB2JOT7EDjy3yRynIS1xAvpCqdM3kC6Y2xxhjgscD8xxxR1D8VsMdckaEhwnG5zgeIlia63ckF+UO8go9VPHBo77+U2w0GQBQyebgeODtrHtcEPX8tB5eRLm/UmXrcg5ZG6XZFMBcRqjKipsJQtMixwf+q2b8PJv+HYsyi1ESzJUJ8jpYVStxdSnREhMvyNS9dyMMYBQoYuvDWBVf7GHwfE0zkRCW9YHiLYj7Ef7+JoXPQdPf8HTcW51Ad2UOSvJgkOhbyAKaFQvJjBcwsBY54U/H2e9m4yTGbAzppR/VQDGe4KFxZemS25YVOhQ6eVHnNjDQos6e3huekegunr6nuPQiT7gtEc5GaEJa5yjhTKEMemtA1hrhXG1x9ZBhlLPg5Kd1M2nsWwB4SNZOdN9ChwXBlIBU+/aYIFHsr5hiAdJvwF0vBgCHOcBQW7z6CMJSgx3BI7b/ZvPSM8cpxQiR1sO4J2kOyklwriFzHHNw8AcnxZoyJQeM8ed/GKFDNdQP2Fx5RKm2h38quE6xHRoiD5dGamMjDga3cpPRd16LUjgXM1KgeMTxVysHFuHTE5JvJ457nGhJVSoKPMk5jgZ9Ua+VdGZOvMsdFw2gnHyuz/RO4xkVQSOa9IED4UxOB4iTCvHByIzDWkFjldUjqjePz+Vf3P84Pw/R1FkG/4Jv640OL6Nj+Jpq49t/lUXddcp8KY7a2zXOlR8gq5OOOFOeBeX+XJqweUXUlWvGNzqAJc70Sipdo3GsBgNUHK9M/6Ha+3K5TqjS3Yt3WvqBoYDVo9cif0Aqvs6v8pVr8scOH+ZVXwsaKesCg9abnhBVuUuMccJjs9rmSNSioGmGukmx2y51QdaavF1Y9dgrDqCaNRmKbaqM28472hoSA27YHY2gOOhSuxhwAkzu3AImsbt2JzSgSIztTa3ZrVEmSEFCh4OdGGPkR5MgfUEb7vxX6O8ucKszlGu19hOF1bpdsaFTDeVGHNSklEeywy16Kg2vsZsZ4ZzBxfQ0eBmXiJ5SIJnfeuX4/RjdlFtGbOeozKZx9gvL2CSWfAwDlpPNiMu7dUGYFu7JZ8nA/2G7ZXuXM01Q1f56d4c2wc7eP0L34D1+9Y4Ve3IgCzvUrRNYDBEYseUrnGYaj2THVKiu6bDn259FN/6tpeie2SE23E74iRCQoZ2I1H8y/wyDXn5U3oAyKCGrZ+pg+MChyX708nElJry83aOGVk2t8b40Ze/DRf+cInkdso7zZCnGRJqxBcHmCLBTrSFJE5xtj6Pc9t7mH32Fp77Pc/FwXUl9iYXMNH9sjMhMPAHnC8AKQZ6HL5FKwo5q1BFG87LBJNNZNJINVv4nH3Ro5x+DPdnt2UqZOrwPslWiOi75WwL/Z2KFUdc3w8FNCdcgJf55O5/mY3AITOkcEiP9vfA9B4YPiGkt18yBlEIZPw487nWH6PjuRe6ftQ6bRqGAsTlW0EzpUi6e0pauDfx3JQJrElRaUMPmKLAcQuU7SwaFa3DAXu0/jK6lpA0jNv3NB5qPze90ShhAMp5zJZU6xSzM9/GznSZ7UOC5AWTTgHjkhMIbptDYBeSbAGS9+W2yPsX0QlHYASOK0gYA+R9I/EhgDx8IJeRGcy5BBbND5mgUUNWRuXmIxG6gqwUA4tLGaNO2YJN0zmb530SHq7hDkCzHhy346PvGDnhQNwnX874Rd4vnZm+qUuSxTyyFJ2xSI1VFf5H4Likc5yuaLEzdd6ZN7DjqjGQnN2oejbGVOwBoJE+cMiertYJqmvnHq69sFbcsLPZwfe/5AfwO7/wu5g38xOD40dlVThXFe87c/ylP/rSewU4flRWZXezjRs+724GxzlvUCOJufbtNK7nwK3tbfi2130bPuMpn446W8ssnnmDcRys3BAT1TphcSWA42RKUnOcBTqyk5XrOtg8dO6OyEPuz0GwqCAIRhlMGmC6Nw2vS4U/msDX015WxTTHj5BAAqlG57LFEQ3P36STeR3BcbJP+W+SFCkzI7RIHi1IonlRUOxdZVmDfNUh8NUC6SO79lWDpkzzPVY8ImnXtkJdVDidnML8Qo7v/qZX4/2/9seYrDNMsRCpoESBaZ5iU+wp12ilBWmng0mQBgA1cMTH+uMh5rN4x2sK2qM2NBbeavCgxz0I3/OmV2MZHSDZirHpilH8P+xYFjc6GHYRknwXj4OR9IIZShqTjixyeRwwr1QeaHlmMGg3BU4z7+Tc1Rj2fggWIFpWZfuviskppVrZkW5npjpiPe48RELySz/ulgZplTCOVnCRrIr7ltncH8Dx/lokG+OmsjxziB2QOb7JhQNIiqQnCLJr1wy1TVjl6NfIqOPjHB5BWvBYoJDgrMcBR5njw5hYIBFATZFevEs8LifylRuD47xa+W5QW3tWmfRpkFUZyYlZzHLyzoO7ONPu9NcM2GUXWYz50hQBUJHY6V5ITuJhAaNg3JXTi8jIsxGZ42WMfJ0j5d4p3CAkUNaiKrNiGnGyWEAZPClxODh+yBPqStzNPfkeFvP2OaZwoEHyeGCOB1PyETjuzPF0mQkjK+Py/+xev/sCXI/fiCTXcPKvKw2OT3Ebnnjw58u3TybxwwR0bdMooOxblPpNo2+xulqhHbXgUkwPMpvM3m5DgPeQEFvQklIrig24rrgvZlB3i8wyBrbmkE2AvCCDXBuosUmt4m0P1zTIfYO8erd/4tlzHDgeNMfT9USa43cmq8KBqQiOz0xLmTIXZN6QgTBdLawCF6AXd7U2cHx4DgxwxIbi4TWlESfbUqnXSJNJb9n3qn9/NDtYqM31hOM/BseD1q0OVp8v3lRo7URNojlHQHxSRjLVMHONKXAe+L13/SF+4d+8G2ditsB1yGSW4owL16i3sMRU2xkCMFXYns6xqVe4UO8hnmeod1vcmt6Cf/L9L8L24xdYJuewxgZdSmApVmJRxxskWQzQgdpbXU88IS7xDQwc5yFiFQQegtorJiaHkzYpZust7NSn8Gtv+nX80tt+CQ9NHwqca5GyfXWSSWcxPFcRTU1pRsxtKrVX6QYfS2/BZ37NZ+NvfdMX42x+Hpt0reCYWn3NCcHxDjT+5POuen15snLMFZ76hw2SPMOyXiPNp2iodbjpsJVuY6tcoPvzGj/xmn+PP//1W3DN5P9n713gLEur6vB13vfequrXjMNDBYkSQZIY499ENAkEIxqUDBoEgcgbBZ+IEsVo+BMwBAwGgQQRCUgwISohIGqMiUkk0b/5x1cSNRpfKMrATPd01+Pee975rbX3d86p6p6Brqqe6hm6hqa7q+u+zvm+/e299tpr3YL1pT1ETYPNeY647DQmT4DjYrGH7lOAZ732uegfAqw2S5RkxHRBo9aT1X15jye6E8PDcIuCBAXfPGOemOJVhpSGugLHnVEhgMVZFZMNpHSaUiq+15iIyRwqj1y3sUHdU9PRmOb72SKu1TdG06tcOTd+/NiuwCSYWok0bTvyVazhNyDSk+LQwGUHxy9rvuwHqkNybEWMBWAWqdTbF4PHwXEZbrWUK2Jh4yi0DksvpCaV6Ug0sCD+MY/ohjNd+3bUAzfQysdRJc/UIikSM2NyKSEDzgOrzBpDepzGhD3Z23dzQkHtxn46v6wZaHGD2p1HPISObTHceKJ7/grs6xwNppBTNpzW9iBHZM0W/p3nY7ZLWTa6bxkIIPOrsLrkjWNrTaQOTtwzLy1qM3giecUne/SkMk0fJz8uvxYTXdch/70XM5eOeLPldxp04QWQs45wNmIVI6ljMXrZ5BuKhzBh4zHDDMUov2bscQHkZCly+oqj/M6mHSYRJ7lsePsnFT2mzHGis9E6wpnqDL7/7/8A3v8j/xUb3caxyqqIEUx99omsykkzx6k5zpTzMnB8tXXNZVXU7EKDIs9BrhwbteuixsV0Gz/4vh/E1oM2UFPWgpPMvv8lo6f363nzkZjjBJzJWs+RcfpajTrTdCZAabFk1JR1NMuZrJyOaFAWZI63knvUtK88iAwcJ9Ob4DiNB+OS0gVkjtu0mfflnOBBHxyXYyHY2JkGOYEk1pVkqJMVrmZWY1PioSEeFHvtDA86zWPDf/JCPsE7zDIM0eOk9h9jT1wB+azAXrRG3TUiS53DWbz3De/Gj7zuR3BzfwtWexVm2BRMyrqYm7Lt1lhkM4HjVkGEpoDDqW4C6Q5FTqCaTq24NCwFLIsYt7d3YPZJc7zkNd+OB//ZT0Y071H2ZKib7GSQUQmeGjQmVg6k2vOQMJTngkZEMPNKO8b8nDJtMYHHYvcSlO1oxNobaN7G8uggG9s0yn0yMeAL8n2nbj4B8hCXOWnVSrYnaNJbk2UcZLC8+MqrIgDkw5nOB8pax0ByvX/Jqkx8KfYZchpzPCkhA0hO2fPzsQ4jczxMHsn3SeoFll2GKzx9/bs7/u5qTYdrrPfP9+Xv+Yrg+DS2iM3vOYrAccPfkh2CyYXdA00wUAVgojmeOzjuQEsAT9Uw1gI65No54tm//+Fcb8R2UsyXCfIVZXzk7isyT5g+pck2pZd5jzi1J/IN7x6Nh5eFMcdlMxKARpLXImeOExyvB3Cc69qu/727eggzvMGENGjKj/KBQdpqzIFVK3osT3fNzLWOq18+/cDTT49uin79uG7tsa6svu9TXMKfu/SB7R/OkT+MXe1+i2AlF7gVkaGMPa4P8NGeRwsoONL772EkJO8ohG/jDByJJJArswZ2fAyFtKkfRaxxnNW+GVpmvj+jGh1HIWd0324lvl8rgLbuZm6JtDR11Cm0Sz9q4n20T3L9/ftHA8fJHKexyl1pjtuhADSzBtViJXY4ZR3SdYZitRCT1XAUjrf7wRfMCnTgWre7JTu16ASO11kDBiF1GwlQU9JEB87YEfbbYLf3iJlNOBzM4MbSjDCizMNOB56DwCpmqeVMtjjlK/gW0wSgQtJuCnwEeM2Lvg/zvRxnk01UuxXi2NzELSGUKpN03hpZmoorgnmeYlXtIZ1n2JtX+GD3J3jx938LFn9+jr38DmzjEmbzuXS4u45jhzVSNiTKNVLMjZF5Al+WrNg4qIFPnLYwg05qeM2rORaXtnDh1y7iTd/2Zty0uglb5YYmE3itjUNvsjARjTsl22TNhLwjk7xEeWaF20+dxwve9EIUnz7HHdVHUJzJUde1JSKHTcz8PggcV37j4LgMWJ3dQo3NNMfucg8bpzaxbmq0NFlxKZNo3ePm5AzaP2rxM2/+Ofzij/83nI43MI9SlMttzOMc83gTF9bbOPuIW/CcVzwP9ac22N3axbLfFTAXJzQT5vo4CI6Hcbr9iVu4zYFlS1ZuwjG9miOx1LLLBMgToAwA3tQBSZJSzsjg6CobDQRcYsoAyZTTRlJlpErgcYibVtGEg/+o++4Elut97iXv6vC3kDg9qYfU2q5BkHjQfjM5BjsLbM1Y8uJGmtxhLFAIdLeqNuwX1ytHD7nW1CAbJVYoFsXnsMDgl93P4VDkM+5yDYmbcYUYPubMoak9Tj2EH9dEErNRjSa6LhH/rHFw15wUY9wLIf4uVllg2o5NH06TqbXg57q961BMBsbDODpo++AGc/w+t6mu+gOFbs+wKg8A5KFdZcwx/grTczSSTzn52OTDq44Ztk+EuSGiGjFkI9MXp6hUZAk0k2OWb2tbsiNXMmz7yUTGyBz30+FezVy66pu17wHM9agfbjFKIssmd0fTt5JyN7GMulImuUPean8kXs5YIb9C/bOzx8nsJ1ORnh1kKkqi0ViKw5TP0Kyc3LejfZRDPXoKjkf8ICvgbH0WP/Q9/xw//bafwWa/KeM1rfAjao5zXQdDThJPeE2oOf6tP/CtJ8ocvxI4nlUznF6dxlP/2lcivzO5ZrIqXAbMtZKIJvCx/nwx2kF6/xxv+7dvxWq2REfmJYlb2tdWjwTDP57BMs071N33eoQkyL4Q+zNeU5KP+SR5uyOJacwzwmvZmUx5AAJ6HZnj9EJKSCgz/wPpRnZzmakAACAASURBVH80cNxzEcG50iq3vIEhjbgUNcfXW0tUGeUHzSOHbHQDYLifNHPp+Jqf30P0m8Tj4fpYrN63/Q578Q55zacPk1E5wbQkwrIvNWG6GW3ij371g/jur3450jtS5KsZFtGmiCqcuKBP4LraQ0HGqu6RsVsNGmecCfInfhgEuVBvzqr56oUza7AkBlbRCjuLJR7/7MfjSV//JKyzPTTxWvMdScI6lXgHr7OdGXy1AI6zaJgSMq7qsgTSjieAU5jQ8tHQHA5Mck4i2vcYszVJwPyTjCqf9CFZS6QNHZgem5nnEtuhOoCD5NL0npiuj5NXNjFuGMPli2P6LdXznuearEoAx5kvu2ShV7lmpGv4VMYmkQw5YxRVoUYS9xIbqzR0prQs2deS6hoY1uNkpV0X35V3A65qR7jm+HQLSDlhyHMdxwrY2lQqcF/jzaRuQi3AtVu0OZJtmw6nrIolIgaOV645vo857jm1NR9s/540OC54R/aBKQqS+SirsqQiAMFx4leJGkT8CcY2NjG6WY+K4Hhi+QPJaAaOc1I7kJFs/3Eyq44tZzNZFTPklO/SvRwc31dVTryorNE0TvaMec9oSj40OnfZME1QRuXPn/3kM0+LzkZ/cFUx5G5++FjBcZ1V6/5P3fnbl94x64tHduz0b3Gxl5JWUafEGeP31Jlyd+B41mco2PGuYnQVx7uN3RsMwWRspCsU2JOTklfgnMuq6EdqY4+TuTxjB596Sda9Y7gcxsF6GvAYOM7nDnIIx3VD78nnOS5wXGzvBbv7HSIyCdepnM+56IeRdyY/DBcEWYSyGQhHvTNpM+Y9iPPygKjIp6CLu1jEJjcRijoLrONwwFFBusvBcetiG4hDZjdTEHdar1NkawPG84pMIwaAFr3MQjJgB3jny34Ut//6bdis5tIPFbTvwBG7yRT+6TlGhUTFwiyP0dYrxM7Avy0+j7/05Efir3ztX0G1tUS52MYKe5D6SEyjiFhyIuhKdC01t2cC20/iy9ikdo8Z8Fnw8L4yuZ7XM2yuTiH9SIHXv+j1WP+fCpvLDWw0C2R9giwyOZPKr2EsmSmeUkx+eQwDq2wPt5++HQ99/MPwJd/+5diebaOLOMXCjD6WpAp1jw9bHRh3IrV9TAkfaX/zl48KUf+w6bCxsYnd3T2kWYo+ZTuj0QjkLCvEDj/dnMbswiZ2fmeJX/iZ/4Lf+rX/qbvbVjXu9wmfiEd9yV/H/R75SVjPGqzO7WE32qZJOJIkQe2aKfvBcYc3PfEJrAarJcbDlwcMtcaZHBprnM2bDJmJU+pLj3WhR0U8gZsG0HDf7WU76Oe9TSHIhLwVm0lmYgeAcR33Xlkcdd+dxHq9r71mALTHzzUBkq94gybpggpMFuc+qu1guAo2jbHSqIbriwk9dXjpyUSKpJHJJIekUde5g37ODQ+Ym78pJZ6OHwrM9ikEFiCSXRK7fHJnJrF9NNUctb2nBYvYJzLUdBaKtMQNqNL3OBnR2/ijvfZ+HVJ+T54Fk+b7wbwmsNkDc96Y+AEQDQ33eyobuq+t4PvC5/HicmxFjjnPZBJB+YuayTYezj1FcDy7WNhYeDDbEqXIwSUuZuaw7ElxEoJssplJqlR5adN1CspWaFmmawWx4n6Y8tjX5AmszRvgOK9WQiZzRwkbttkzxH2GtLPpQGqQxitKqZnmrbcQB3Ccf0+N4aC4w/jC3DWA4zRWkySGwE2TJgsG5lO25UlFj4PgeL/sBY7/i9e+E+97808KHD8uQ84AjjPHCPJWn/75n45vfuM3X1fgOA05CY6fWp7CUx79ZMy382sKjotJ3zYoOGU6i3FHdxH3/7MPxBve9VrcUV9AVHgu5uzT4wfHueopTZEhImllzYkWAxgFhE3A1CG+eBrBHJFSA9SlVt2cVGQAqs8kQpEmbY05Tka6MceDPGlIEByMJDOcxBjGO/5KgWpGw88VSkrLkDHNbSZtY2eIK1cwcNZt4AaCk0NT+w4Yr0Cd+e5YwEltPg8bWZxIc5zkFF6veb2BN3/3m/HzP/oLyHcKnI7OKI7Lfyuh/9EeNmfWtOrVuDLmtnmkmIyIam6P/Qag83zw3wcykShgSuZW6RrFgxd43b96ParTJepijZSxq6tBz1PWSSQt7QfHSRrkNTwCOD4WFMPZZU8qtNLIZPF4BoZ/0mfiK9NIsaG2fSzdYtZBtsYyi9eqmUMdZKx7guMkBWkiltIlki9xGR5njFuOOuZ2U3LzZeC410PCg/za6r3pGPc6Tiow5thJXyo2W9MqQrKOUJSUVUkF1FcExOW71htQzvfrk5FGwgwkjSlZcDJqPG6pfbnAAIRPSuUhX/D1P3i3+UUOU5T2z5bv6roH4kwXwPHkcnA8qYUH0ZCznsqq+HNdV+A4b4uWW4Kc4Djxnb0IuYyJOVVO2SOfjCdhjM3vokM1p1dh5+B4LF81geNuYO3RRbGM4HjFST/XHL/PgeOBfOF10XTv2ISAY3gTvXHWfjxz4t2MdWBXxeufOfuQs8+MNqPbjqsqOH5wvO8fsP1b229My/xWrppubsl4k1cChWSqZYJ7h8WkjuuzC3yl5lRMQ52G+qfUPPWxMBYgBL9cm03NH96c4EDgEU9YrXnOoyNQS13nnGBvbwxylIjiTkmwPnUnfMA7qZYH3FuBorsDx3PqYWlciV1YOoHbWC+ZSiYKYkFZ5dkcaMlk6hsxxwnUsZsotqFrytoG8dlAXXDr3FYEOwmMF5BOY029KrFWg2GGHwr7DK3GKYCj6m0HcJydcDU6fMTLxshidFxHEceGMkQrIF1FKBqyvchwJvDYIooyNLsR0hVw5y9fwttf9Vacrrek365D0ZTwzfzG3OBQ8rkjupRTV71B25fYyXdw8dwuvuOfvRTtJ9VYbrCDz8Swku51l1hThkDVnFMSETXo2GA4ti111U8UxZaYlVgjjiNJpUTbEW7p7ofozhQ//Pd+GB/51duRXkhxLjmLaGUO4UVaiIldIsJ8kWO1vB1FkmKRbmFVlkrcVqfX+JP73YYX/sC3oHtIjGWyRFI2mM9n2G72EBPQ5QzmoRNca1RYZHDUb9BgtnTAZHHc1FJMUUtAKbmkRkAXqXiar08jr2dIbdn6OKpcN9CkHZZZgzVjC0dE0SLTmUF2vIGHMkdUjLGDRPFVG9QMa43Z6swEJYc24sYGYUSfABYf3HdNYfqVwQeUxSjvkMYc+D8DxrmZuffa03xP1QiEu+wEC1gxvXyfD0xkj5tH3XdXvdBuPOCyK6A1INAtNAutsAja2QFIHlN0PwPFPrNkvqGsj1hIBO1MDsXMNMnSitGuWjW7Bv16yYt5gctD4cDUijHcJhNbw7iqJUleCuvPLMBZiA/ylYGg6UAhwXFjQxnQLXCJrDQe5gqjblwUNH0Hh/QAwo/yKUOy70ZAvkm92W9AYXjfYa1PB1oHlsQEGLf9ePJ50I2tcbJXYBjU92mCYVrOJxQ4Ji4cQsa0LN5Ty1WXKRbLDe0v5Vc+LWeYQWCaW/w3wLUzYDwrLWZnvXt2TBMAB8kd+x6mH5xSvo/tM6zeQx+gJ3vhj/rqapYFWSSJa0haheAKR8Y5Zp2ueiQkfFCLnLmCCBPE/gjcsGHo4AsbGNKFpr6ts8bzRoxa1hA6f71Y6MV02N/QOOpHOczjdQawCZrGaPtK0mwEx9/8irfg537kvyAv8yOD42mcoun8ItGLpS2VtxHs+wuP/Qt4wT9+wYmC432cglp5Bc+SlrIvOaJlipvqs7j1L96K0+vNawqO83zjccajjUSsvVmJxz3z8XjKNz9FnjQR15AAT5PPOG5wnM1vMz2koXti7PHKGNopXSI5LWYF8qTpZwc8z2cxXsnIpSnnjPVbLZazdkuXYdY6OL52IFPguENuTmxRfhsRaCK45DJFJGrMaqy39gwcJyNdoCPBcV4H5gUMqyF/d6LaUI87FO5v3wgmBvIFgpXF2cPsnGN6DCdsswTrvRUWMQ1RM/zG+38TL3/hP8DG3mmcjs9Y47TnJCe1v814WeShPlc8Yj6v6+fc8VA3e4mtny3SHE1DOpYoO5jnc1R1hXVPac4UF7tL+I7v+048/FGfgepUhd3+kmpS+jqJGd6zOjJw3CiFvOqNp0mHB8dDW3m8miO5Y/q9oGkc7lc4b3lG2vp1j4jaTGCTmtr2BN3kAmxfDnYrPossxLVbo52bUScSyyl5fcyK3X1nEpcXusItV0/U6yEx6w+C4yrZ/Irx2gkcp29ZiqQy5ni25j5LVU9qYj5v0RMLIQYl37tRG93uqeX74XWt4br/zYUlvW9p3yWHzO+C78nQnDgIjvOfeb1d4EbXVrIq2/ducDwmptLR+NQk1GasoZcRiH/FPSf6Uq1/fjFXoPwq70u1ADBjHd4hKiHtdWOOUxovrBmLN4yRxhwnSG6kBtVQqu2vpCl/TPHlGj/NWBOFLHNsEJnKiMX1gRAgGbtUJsSaSKsSSTDHfbzXFe0Pb91/8yXR6ejCcb3tY4fF+r4/t/qj1Xf0d8bfGHdR1hUNmnnlBxRdVi0gXw9aOdI87nPrEnL0kc1VBkppoJrTLAFEAuJapmE83MEhLfhAZFYgs5HIJm81NsEOURnTDIQHN1nzxsYJ4DiBqxHMOq5bes89z9HB8V7gOBkPXUHJiQ6g0URNaYfcwWM3TQkHiRg4xmbt0gbreI1+AMd7BR6ZIIqyEkwKXe81MKOGrq5vyiMlOOGINtB/7PZaYkAms9YYD16ZaMQqmsgmUoObUjJxgo4FVAngj4Hvf/H3I7tgI4oxk28eZhy/ob4fu8SIUQscp2Fcg6reQzaLsdpY4X5/+QF4wsu+AquNPezle1p3ppnLZoIkMQ0crzOlRjX11E4qw5MsjgFYUU4ye4tZN8NN7U1I7ijwc2/5z/jV9/6a5GY2+w1spVto1pbkZjIiZYmUokWFRdGiSGJcWu7gfpv3x4d3b8cdWxfwqL/zGPyZr/hMbG/sIp3FSHc4Chhhl50KGpLaTNQRvkIInRiqTeSjDBi30R8DIXkvOO1gmvhifHOUr50h6WgMzLtisUTNNumw0/GdxbNlKJRnouEnX7kmI5BAoYPi9rvDmfvAcWdSePfVwHHKqVgyKCPdygxjZcQe5C9owUCg23XgrbFp+4ksn+aUad2F5FGsWxoVDtIT2q3D9Z2O5Q/4yxGu/o2HHv4KWAE6ahSHhGTKuNY8/ETPcZ/iJpnhEZ3ZXUeb/ROuS5lsGiBOTXFJlRE0dz2BgTmtKjNQT0ybZeh/TgjhYXrLOEjBR0JoEiL6WgRwPzDLBYRzX7SaZtCfJfHjekfOEBcTXF4Wg/KovYdhNDQUJwfKBb2gSo0JOG7rfHyvDnsPGdbBIOP/MKUVHf5W3njkvfgKaCWEsVIHnBVH/XRkESQJMk02kqWZasKOYMhstbB4TYxuHzgeJHys+UzzTU3oUVKFxl1kwHEUzfph/mXF2BixBxjBmXgHL/K+B9+L78Ah37rHmAE480Y4ATg27QSOl5H0YXW/5BOToCNZhOB46IF7GAyMKWnckpFIYHPWcWRY7HE2+HTFpRd9/YHjzCUIjr/llW/Ff/qXPydwXGPi1qM3cMSboc1Q1Ic152tJJnejSRdrRQOAYwFQBMeRRqi6UuD417/u6687cDxeZThbnsGXfe4TcGq1cU3B8ZgApJsj0uByO1/imX/n2fjCp38RduNttNHafUFcW9p1ABIfKTmqrArBRZkbMj7Rp4YeRqpxcmQEhwK4KNKENbctEzUASEQRgeOtJEkreiKw4dRzqCtDQbLGmiAIfXCMOW5P4dIO1BgXMe2uwfF1vnK5RpbiJrtoUkWWUVg+a7C35CtDSuLgdzii3fJRizmEzJMqnezIMHY2PQ3oU9V8uMZ3fs3fw4f/9x04jZux3C0xi3LZtnId2EFBHIPT8TOnXBkIFczFWZ+ENoDIDmz4sUZRhWFnEv+f06GU6rywuoAv+crH42kv/CqsN0q0p1vEGz0uXrpdJKSWDHXVqiarYoQLVrABHB9B4auNwuM03vjIqTeDfTdQO/ZlrnYdwkpkg08AOUFn1kO21kiaDHXb5AEu6WGNHZ6nZJBT2obxievQfDxM8jXUQ+P07tjYMUxJwJGRJf1F+H1jjntO6U0t7gmC4xlrxArCEgSO96nqe2mMExehJFfhjafBsyJo/wc99gDYHi84rl19BVNvA8dFodEZwLVFSZt05wrg+L1FVsUbC1bCGKtfsrnrGMWazUKe95mmyuyLN5VSUi0qqtnOeA9axHWPbI+eX2bePYLj9rw05iZz3DTHCY43dq6q0X4fAMcn+W+IsQNBS9csEGOZ5jJ2WUOWxudpmdND4Pb0dPqq+aJ4U3RLtHu1ceSufv5agOOb7YX2SesP1N+bR9lpagbVBMfnS415sBs8aH4NEee4Ps7VPY8d0dQ7JXPcmDnmMm/aVOpuJd79pomD/OUohyGajsXdfXLNLMDZCef4qulfM8klGEaAXMEy4E4atTCm59HAuav7zMf508cCjnPh08Qvb9GxCSEzQGMh8LrQdZzghU2UxtoUCjOpOUeXycr0xonRZBxDbU3v2Md7Bq3uifbmOLZxNHA8wOJD4PNKMxS7cc+NXNgoHz8XAciaUgA8eJmZcaxf4pMgOSam9vgKeP1z34D8fIqNfsOuiXAjJm4sLkybq+EvalElK6RFgqossZqt8Fef8yh81jM+Cztb26g2a7RN7ZpYLC6oS8g5tx5ZbexNNRlOKsNzt/gsS200sIxxpj+L2fYG/uBnPoB3vvqd2NzewKJeYB7P9PmrtlL3mawU8olq6bpTHmWNuGt0fdYo0Z+N0H1ajGe/6atx6aZdbEfb2JjNkO/YqOeSkyxxa0D0UcDxcO2G7vAkORAzl801JlnGWNFkgdanGeNQq54v30QJuoixhSa0PlmjMaxKgDq7cAKzxWiwhFXJsYN7wbvAeS3jR6KWnQcdfm4dvj5un/I9rbkmQ0LIsUIaXEy0nrXczCzVZCU0K6uutVzFNyobjZ2wboP8hZ15dw2Mh1h0lMt/nPHs4+25BrDC8vOJlnbQt/WunAAZHz7W7bdCg0kKfRR4bprgP5N9ion6WaoiLEhBOFgXCODDzec+cA0fSpQw0vnZeNAcVJ4Oru2toCbml5lb29SpS5+4aRsL4DiLB2CcALnY4sNaNdNNFXz7MqGRBT4u36EctqLFRwHNzHh88CADFnQn9YNTcH1kijtsdOK6iR9v6/76+rxhlY9j67aG7Fxmzsj9ZgZ1sREHmE9Q07qk/NxsyENZGJtBrmv8m76K5QlFLUkVAq6M17YXbF+PXyM4Pq5pa8heuVD4eAfHJ1JLCqA2kaWJVPp4tCkyTgiuITBDerac1NJEKs9QQ8U1GSDijE/wUC6QY/FpjX7RoYpLsRQ1PqhGpf3sVArnJNZ0kFURe66v1GinIefbXv12/Pt//rPSw2X8Pwo4HkBUfdaEoHglzgnB8c/5G59z4sxxao5HXbePOZ6sc8mqPPHzvxxby8U1BceVa/WtiKtlUuFStovvesNL8emPfjhW2RI91420RuycChIinHS1Zu7RNMcNHDcQR3UzJ39LA7yKrlAuoC9vWId8UFPByg8dxGNsmreo6NVFhrPA8dTBcfpQBea4k4rUcLETlNPIAzhOzXHWjQkMd9hc4q7AcaXFA9nD4vBBcHyao1qOEK6XV38nmbz6JPYCc2wsZ3jn69+Jf/MD78Gp/iy6MsEsWaDpORvMyc4K1DgRPKk4NLNJF2/GikAgPxWL6YFdnMcp+s7rJEF59h9BXxKr8jMz/OMf/D5sfuIWVukK9bzGul9i49QMO7s7KIqZ1pjlaaOOMJ8p4t/3TdJdXRQL4HiYQg3EhCHDComaP62nucOLBHaz5cEkKFFJwGQm2czUJAS/JzD3gHwfFQLjBmW6NnA8jRGlzF2NiBF8aqwJY59bxqFBd93X7giOu7ml55VBVkV3Q5OQpqXP2pcM5ZQyMJQwWlHUKB+eX5rxjoVokj6uhJUELfnxkoQT/WMEx23pX6FUDvsg5DG2fgxjGX/erE2sOapG2n3BkNPvqy5NkChtEqSMfysnnslPKUxHSH1fNXvFtK1gWG4AguNLguP0O/TGYWD0czo8aVHOKrTzAI7XJrHHfeX4wdXtnOvnp8do6gtmmMwJfk6hZeTNFXlCJjJtEeGgztC27e+fvuXU1+H++NkoIg//eL6uBTheYBeP3P3t5Q/PovkDqTfeLCqsFpR4qAdDDANafOcfz2c5xLOEZMFAVzHJyRgnE051dISMzN26Q191GmWlDjSTXNOpOAiOM9za2E2bm8QHTSI1fiNNZQMdaMpnOkQmh3Bv/QrguMlAkCHtG5zMgY9JVoWFG7OgSDpeBILNlZyAi10VC+ymVa9RkuH7bD5UqPNShUSfR9Jw4miRDieC7t75FyB4BXDcs7NDX357fitAAyvCDmCTrOA6yampS+1J/mLi6Iet8lWtAxvzV8FzCYgvAq987qtxdnkaZ9OzaErudUM3TQbBwFMqW7NzXSZLxHmMbg1pv938OTfjaa9+Mu5c3InuZtN/JlNJTSk5Jwcmvovz7aeOHfpaHOaBAvwZE5sOOWY6IDb607jt/bfhh172dmxub0peZtYV0kevW84ZUErGDhyl9ykNRit0bYmUjQbyJOYN/iT5EL7q5c/CAx/3INwWfxhRwWQ7Rk49sCzHOm+w6tYyMzr0lxJJLkil1cMYiTFvneEaHNAJaqtQ5H0kikjuf4OIiX3co1K8Z+LPE9MMCrnYu3itn2eRSU1B7g0W4ZoE0Bj2yHoNTIMhObEIMzC9bVKG8c1ZXCzcV4GR42bEIa7Z23f5CWuisOkkfT0Tv1dSKNAlsXHNsdtrLu/68ss7GnFezuC490bAQ6+c6+KBIU7ZGhmTkf3sG49oQaYhTB6QxcIYx4YfvSE0beBAmusij+aBpv3jdZd99pCT0ytA2gK+h2JnuPm6DawuW8kBQXIhZRVo1O6zmkP1C9mVjHEy0uTvDvrrTBhlUvgGxLpwA6q7WoPTBOnyNWzSFQfB8cA+H69pYJF74eB3/wY4fl1sgxN8E0FDelxHFvdt2iHIArEIYkFA0kBGcLzKhkkfSlloWxAY98aPmdta4NXkEZuY88pidWo6pAHtnrZq7EJMAPIggbXvCh3cKR/H0Vv3yfiU4YIqirknBwFy1gsgc7yEwJa0zxUvRa6RM3dnIF9gl7m8CrXG66wGNnpNZrW6b5MZ/30NuZNZwgEcV2MStWRVTq1P4R3f+y9kyHkc4Dgnd5knGzuYE2mcBqJvS43P+5ufh2e98lknyhwnOM7pv4w5HbXnExqbF5hfmktzfHNvfk3BcTJWmRdnaawp2uVGiX/yrjdi9pAFynwtjx0DOwmO29lqRBtjCB8VHBdQoRDA54wNVJRn1AxFeyVw3JjjRvCwAk3NO0qvEhwvamns8p6TiDZrCiRrguNjnipNcTe05XME5jjrG9bvrKXatDdZlU2TVZFOL/srnLpxWZUw8WHXxHrY4feDO2q/xFzICqbmeff8HlQjjg2EKsfv/Nffwuu+63Wo/rjGrNlAgsK0xlkPgzlW7UasrC1SClN6M8/uHc06Q/6utN2lNzLX56a5ZpokWLVr1ZustXebPTz3m74aj/2KL1bzYx2tURKEL3qkswQtPedY23puaTVLAGqdJXGEybmD4PiYd4V7YWfT/ns3uU+hbg9yHyIxmQa5SJIExxufiFBOa5rZOqO9kVlycp0a5MxBBQvxHCZZj5Pa9EXjlbNra/nm6F8nksnAHDcPnzBBNoLjBjRLk1xlF8+UBOqVEkwlOM7anneXtSQ3h7wgqYnuPiP0rKAvm5tzBq6xmW3e9bq94sl+GUB+N+C4Pk7QRTRJTuFrwnIIbCZI95jT5M6yNokfy1dKNPMa+ww5vXEgNGQwGr1LvZdrvyGdjMMrYJ/L9hYbhAXB8YrNcRLeGHcJZlsznO+9Lnq0ZPhnLdB0yFb5aMipIBTwUU73N/JPoKwK9fxHWRXGunuzLONIHBp9mBzFGKbvHRz3nFZTyLzG5At6TtX07W+c/eQzT8UZ/M8oCkyro9/+awGOx6jw8L1fX707b4uHSvtozkN7RyBx1lAug+AOA8ZJg+Pe9JZ8ijF3wsiHxv87AnHUoiCj2UcjNdZK9mbQOhWFY7gTWqwsxDkaSWdjdw4mi5wdIOv0MyEOnR8HkY5+L+/xZzg+cJygbSeARRIPBO0cQGlTO2xU8DGh8vpAyQ/B8dnaTCg4VpwagMexvHBLBIxfCRwP6MyRDmcnBerwcuDF5V8IjHOdMEGUDt+Ko1tm9mryOvaLUjLU2k5I/VgB7e/3ePULvwc3lzdjUc0RtYTBA9jKg8CY44Jl4wardE8Jb95uoIoarE4t8ZjnPAqf+ZxH4HZ8GM0pMwfNaGzDw54FXdKhzNbSItRQwxGuwVEWnfoiNK3crnFTdgviLseH/9OH8S9f807ML87R39FhCwuTkvFkPqL7ec9+lXeqHUToyTrNelTxEpdmF/EpX/ApeOJ3PRnnN+7EKl9hczZDs6qQcvQzzVDGNcq2RkK79cN+6bUd2JMRKBN+Pp+xw7lYLbSzwDOjUNMFJ9hNXUX+jIF2JptCFtLMpSLkSoQ+pqp6qzE7dZVl6AtUZPzTpPayexeYsZ6YeANHCQlNLDSeH2kfaa9xLI/NqIkmnCtXjG1/gY6+t8g6zDrQrb2nhi3Hvwnie5MlyGWFv4+u5ga8XEHi7kjE/cPeuhuPC1MzfnbtYzeP98o0Ck0r0IoDCStqbSQsICgHxfXUW1Gq6R5NJzCGO2I9BXLCcecBPpYWaGgwOTBH2QFtnLHdM0XWLbbbNEMr0zpnwYYeFet122gyiFVx5DIVA4NHeao/brICD26n6Xq1SxQK6QAijjp5tqZCSTEmfl6ipl0G9gAAIABJREFU7ZuiGBOGCRh5Y1F+fF2BSbcojPsbdOXFn58NlpfG8schIzMhgUDj32S7+R7x3NJirO1BgSPMOymlsiCRgNNSNlWns+rAZM/gfKu7cKXSYLq2/VZ9HGPjYXIlNBfD1JaFGwMBpLtMvfGSsdJMu8hOJEmCrH3q1Ro47mAhPYlYI7AgTiv0ixbN0NSYguMhbzm54viuwPF/9fofxU/84E9hVs+OrDkuE7eIzHSXKmCdwJIMNf7ql/9VfNXLv+q6Ase7OENez5HcnuDpX/i3rzk4TiPGuq2QpjFW8QrFgxb4/ne/Gbube6jl48T8kUbqpolvbZzjBMeZjxvhRnUWJSnWCYr1zPxrNCEbmndhIs1rOREwbK2XARyfcbKF4Dh9uvaD45xM4AQN81NNi7m5vOZrSKBiTS0gCmhppu3M8TIjOG57x3JdY/gaaKvWwRjtPJ5No58xjL3BPZxQARQ8dgjlYz4DOfnZ7wL5Xobv+bbvwe/+t99FupNhM9nSJ+KULaFZTZ5KdsZIWzofiOQyRnnGIp1sB6SURrlHGmVVeH3J8mZtXdLEOe+x167wFz7vs/Edr/i7MjXn/iRzmvvSuIOcCKcXhk/XSNbO/ZZk/Glg8VGu3pVkVS6/eBOT+YP/aFYe1qwJ0mWS6jMQV6SPslespmcEWeQCy9moZp2nYUmfPhQRg7gPayP7JXBaALlJh1ru6ckzp28H0rZ5gV0JHFfdS08HTQmwBjSTezPlNHCceUEwuuQPKd8VQN5Jlou4G9UMlC+7F5SigHCouz/pP9piDJ5rmuoc8t9wzSe84FBHeB1KCJP7OV0l+8BxXgP5DsxKtASDU/fbGGjrdp1MCjHUMB/tXV6jfxc43mqvkChEFYqWxL06ETk0W8WY0dOwJZEv2MDypneoqXLA9VG0lAVBvsqNOe5EpQCOy9dpKqtCzfG4tn1MsuO9GRwf8t+RgBUmc8Y6LJBcLbareSUckCAIpQMURH7x9INOPy06E/3+cd7po8Smu3wf/br/1PK3qh9LquzPEyCuCI5vjeA4k0aNnehzHQGcOo4rYe3r8T/fxDy0DRRwVjm7iWT+0kTAZT+MnWOmeYEiORDBCRi5lhp11CpqrwtIMtZOGN+6HrTXD3sZD4Lj0lamSD7HSj5G5nhNgI+j77wuNJmixIPrivN98ZpZ4mXj+QEcZ2AhOM6phCbjgWwgicBx3RMb47krcDywaw/M01/VpQhJhOYFJE9i0IhGbFozZWJXn8YZZFjKHIXNFlet4M8SE28pJ0k2VxNj53/t4Y3f9SZ8QnUL4m36jHJtuqSFDjSC4z5OGLXWWW17pO0GerJI5iUubpzHU17+RHzSFzwIt+cfQZ21yMjAoIYaTfKSFsuZsSmofS7jkRP44oEy7zJs1BvAXoE7f+lOfP/fezM2dzewWW1Ivytqad7qRi46yRNUHUHnBHlKRHmldKNLF7jU7GG92EF1yxLf+pYXofnEGruLlZpUBa990yFOeFD1KNsWScbEPjCvr/4C6ICOpZqPqCuMkcEOsuKaMWItCWRyQ4YfAUYmOEz8CY776LzLy6i73OXSqVcTRIcvGR8tUjfc5Ho1prk1PahDH9iGoUw2WRNL+g0sMXCFCR9NEgmosClie3WGWFMFExELkTo8Lrtj+zD+mtH0pZG5m5I/n9Kw8a6xiJgebnZlvQAJ7JwJtvLxjK9c/ao75kf4WPUwXD3IhVjsFGM1SKMEbw6ZZvRKUILRZjDcGQsWZ1WFyQwPMSGZM5yZjUGO1tpUzNjo4eJ1PmZgZ0o33Fnh3C/E6OMG0Yy/W9Ft5kKma2m/bOR61EAcmdua2uFb8GU+wH4HQuFg/uWXfShoBhklu3JeKk9uznRV3/UKn0rHHPOdvfF01/sVEBhhAAFzG8snbSWZTr5PefHMkPlshmzNfCJFXtPk20a97RwK2oxsYAXpAZrCk5FZo1qsNWVHyQK+xihvOAVcLU5Py+X9K9f2z1CnOtvyer/M1+79ce/byHTwm9FUWCjbpR9K81SO6bvcRG15IXVtBQwqvx21kCUFzZzQwfF2bmaFLe9jcO+0FROSzRNrLg/NT8XaBnmbY2u1hXf903fjPW/68WMBx3nvSFAyFqo1jVhDUVbl0U98NJ7+iqdfF+C48jn6SUUpZu0Guj/p8KwvfsY9IqtSU9ImjrCMV3jwX/xTeOVbX4Xz6Z1iG9IYkV8ic+1jjvP7R2eOky1pIDOlNwwcpwRKvipQ1CTk7AfHbaKX5AzmujZKzxx6RU3dDRLpHBznzuoSMcelrewTjoyTgbUr4oVIRgZAChwntiA5zk7NgXJrCYLjmj4mfBXA8X2TcpdHiH1xbx8wPv0Xww1OagNS1/1cdw7veet78UOvfTvSZY6tbhN5n6PqV5hnBdbNWmdMwDj2mVMKffEJo6AmruOHuR9bKfSUiVH1JfIsw269i67osY4rzM9t4Dtf8Z34tD/3ULR9jXZdS4I2imOsW7LHE501ySKV7CXYvCV7OSJASzKQ5WuhoXiYGH1ZznVXaZaTKS7/Z7WJ9r00f1S0Dk1bU5uHJBCbiJCmvhqbqcnr8pGe/DEmtaz3aHzNz0pWMMHpzNjjxpifGLxL1sheiwCzgeNBwoyvbZmhwPQkMvJUYPMHcJzgMg0JqVUts27fU9rwxCRaga/ER8jGbiRFK20DA5hJzDvMhZ9muc5CPAiO69Lo30a5DNUTQZmh7XUtJZdE/zPK2Uib3sDxZl6CZ181Acftehs4LrzoOgLHcxkBJ6hT+oalAsazZYQ58Z+GZrQmuWaLxuJVzbWy6NARHGdeF8Bx/Yx5IvABnMw2zXEyyEu0nDq/j4DjFpsGytF+QpR7XWnCwmtQM6TnviRDkgAhVmkWv2vjk7e+JdqKPnLE5XxZLDjO59Nz9av+wf0H8JZ+B19AmYt6o8Ry65K0DtlNNub49QCO90NxbCCSS11MgBxjHbvWb5WYREZlrGBu56gn+9NCqpMnhzEz0LAhrVDNGpTzViAlO9ryyJbMx8jyPPabcA88oe1zSzooqxLAcY7BERwvCLrJeDIS20Pu4AJCCHgas07S4rp0pFFz1IYmPuObD+A4mTUMrFNwXJIqBMfz2pgCDDhsJYklaNq44cAw7XG/ReGw1DcODwzL103FjAHz6u6q8ZFonKaoc+Ts7DJQ1jZyE774s1w2VNfpOHbb14jqDBd/4xLe+NI345bq/sh2Yszc3ZuQP3XHOjG+mLZYYpElCUoyR+INRGmCO6vz6LcarB64jWf8g2cAj4hQblVIYtM5z6tMSclqVml8kSNal7OP74HFQ1NNjh3vxTjV3Yzf/unfwnv+yftQ3DFHeinFZjTHPM3RMdFiUsGOuEYoba+RKZ4lPYp4jZ1yhT77BFxKSlxa3I5bX/Q38IgnPxTni9tlTsI1mqx6ZGmKik0VN8FMkhRtb5Igh/mSLizBcc0VFwIczHiQhQJvqo1CN3GEJsq06g1w7JF1BMd71NJZZtkSdPV5+BNMd7aAGC+dAHWGDrFeZOBiR0oqMyQHBC362j4bwHHXGScw3sXWDGHIqjo1ovJ6w1hs3J9kKSgIGvNNALnvRYIvMk6aNdpv/KXkT+/OriABcqNDBOOd8aqGRHKAXvyST3XpDnMPbjzmCFdgkAVwSGwKjGtd8dzjWKlpL1JWTFM9XCZii1M3NzDEvcFsC2HCxXJALRyONls4FOadg0uCBafy3H4+2BRWp0SfMV7JvRqRHKXoEIkxO07tDCJDAYzfd3kOFrbjP47g+JVAbQfS/ccHOUAZih0055qw0Gw7TthRVz5rDhd9jnDfbzz0+rgCAsc5GWY5pliRB2RVhJf3BhRRtoLjtwLHq0JglIoLAQ02fWEM9GBaB1RkGm1UWC9WqLLSzK/Bc2CmQ4Kgpo2dhw0TIrT/fRhvDYt5aMFaUXOE/On6uAlHeRfMwtjIDuA4r62xNMOepqRdChbImYwFs3WCGcfIHRznZC0RCgIugwk2bRuYN5BUMyvRzWjOaeC4jcKTNWbMcwbNk4ofVwLHN5eb+Dc/8F686w3vxryZH9mQk3cnjVM0nfsIpayHW4HjX/DkL8DTXva0EwfHxcnuauWZBMfn3SaqP6zw3C959rU35KTee9eA6p970R7+0hM+H9/43d+E89lFMwvkyLPUe8wMdpRVOR5wXI04yt3EdEHidAvZrCmK5cymXIjqMSXQpCPXupHOlE/4FBp9uqipWxP8EVvUcvKPHRzn65s8kYHjzBM6McfXm0tUGeVlbPpYHikWVH3vBDk5L9uDCsQVMe8hSwiZwImC4/N6hu3f2MZLvvrvorzQIqsK1Z38dFtZgaZZOzmApCqT1fGgjV7kHLb2rP4INkMBkGOFaf5EqijEhN7rVqiLFslWii990t/EU5//JJR1g2q9xtZ8E9htrPDYSrDcq5GdyrCm3rnMhA0g1zpg40KTsm6+e5QIFiYeFYPv+uuyGKk0VCOxNksRWKwuh8lnEimEoDN/iRxJORPzZZJ/hPvrhH6yTDEpoZs0Wn8kRwokd6mV4Hkjhr575xCXEAAqOUH7s+6LOJQGZBs4bjAi13emOs4whZTTOesYUU3JX9aXoWbjhE1r5ts5azbiTzZhz+eyY9swhGFo9BBH4V0xx/XsAvstnwhSb0FWhWoMkhnjFNwVwHGS/AiO72OOe75xvYDjIuTEJK5FKBj++xhlmgERcR9KxgCbpYPjPgFlIJRNUzDOtRsmJ0zteDLpxRzXJQtWmx8H4PiAww3owDCBqwaOVD2MMU6CaWhadbWmlW5fbMxfn57JXxediy4dYgnf5UMOjwzeXSDa6x+I2/Ct3UV8XY0qp8vqwBxnEthHGu+wsZqj9q6OcjkMHFfC6UEqPJvVKBE6MVfpCJyrK04TBDLIORqZSRieY5EcsUnMICdo9SqSsagnkNSimlFnyKVWKPsRfvDAIRwCZKg59geuy3lm+972FbLkw9zg6XOGp9z3PENBxH+l+A8BP2opZkhLFgERcrr2MiHTmBvZAQYi655TT84PJGHnWgKcJ+UZSpDdAoQObQFwves42vVlTkU9RoLj3QYZ+QaIs3tLje3AxpcBoYOHg/HicL1DUXGYK2SrxFjAxmqu2JX1s4CbuGgyzKoc6Z4x6aUNOlnrfK8xD0QClczT+AZLYPXbK7zmxa/FzeUtWJQ55duGQ5KrBizGtGsMJuZrz5I5TQlAAD0vcuxEl7C9uAB8ao/nveH52Du3Qrthh2FR2n4rc4K2lqiGtCKsNYWoyVoKt/tKANIVi+MDI4h2DocD0se+EWFWFdioNvHr7/sf+NHXvRun9s7g1OoM5vUclHGjyZOkSVyehM+jQeW00O5pqhVmEUHaGLf3EVbngPt/7k146ituxZ1bF7A321HCzn0ar4GiKLDTLaWDl0c5msZcxg9bXho4ThY7PxObOuxqci+wI08jTTLHAzjOdpC4NYg76ikamEEjTj7eHmNItHZVbAC4sWE5BsuDIEjgGE+N/ymJmgIUIQQ5QD4wxx0YV/FSMdEjQB6j6OYmiTGYxjjIosaf3TPGR43k0WCYCYvA8cq0ayevPUACYvg7SB7G7SYgYQDKfVkcJTU+SvA/8cda5PGgMZE1sfh7d5DHFWKWB+3hXw6siXEoeDJmOngl2LoyZodrz3sSwqSbgDinelgoMJ4Ppq48xdQQcdO1qWbnZW/fD8YhEDNBZAMojHoHgN61KB3wo3yP1h7jK0Fyaim6rrikUjouZHuxMT7ZrRXk59RwnfGTHxLApDx1fKPhuu9/6+PfwrUNbPJxQiPwbcPhMtxZu8MHcouDC++kwK0T3wDXwxuQxIgzV4IhouSsJvmB6x3aWemLaCiix+ZIuM1ad+HHfI+HNTA2A1mQu/yWClT3VCG47ec6cxp2RAmCsoFJbU7KFRB8yipO+9jisvPRXnUA2HmGRMY4ajdIzlihSgiO85xhblZcGRwfmF5+cw7KCUy0IMO5fj3cxpN5D8xtzR/ELed8ktSmqFTE86yPCpNiJDi+pFlhZvkgj8/CpsfMT8cPb6lRmSTOmsDenPJRDZqYMgnGkOVEjxl4Bs3ze/4KTMFxJu9Zm2K+2sB73vxe/OvX/Rss6rmZN8vX2UgYQcKvcfZi0Bq19TsyScd5nAhpmqFp3NeEDdK4RRXXeOzTvhBPesmTsJztjWZ/3o0c9uAA/uw/M4eQfKTga8xTk6swKRASNwiOr39vjefd+jwHx/Ph09mEVLBCNGLBkb5kdkjphQ670S6++JmPw9Ne9FW4VOygnXHmvPWm8wQEZLPNwbmjao4HoFnm11yXzBsolbBXODhuYK0BSW6ILYlAl2jjHkAjI852o0W5qFERxItIBokxrwuTXlibjJS006XLH7T6LX8f/84smkSOVprj1cZ6BMeVLzuo6Qdz0MMeUoO7BcenWUaI8YevH+2+W7S/LN9zUHHMZIK8QJDNSrAoF3j1C16J3/6F30G912MzPyWQNI8SJGRok1jkyC1h8CDHaavOwHGeBdOdF/LEkDdR9nMxm2N3vSMt8R3s4txDbsL3vu11KM4WNr3Xdlif38OZxTm0O2y6xEi2YtQ1lQ8a9JSOIlCc0izSwXE1S9zzZZ+wzV1dTz+PrxDvLA5d5X3QZTfQzcBxm+jXXmJz0zEh2l0KICdBhAA5ZYO4xskeJ76x9pzAcXbZlZIprs/XAALHuT97SVGy6cm6SXuBhCc3s224jwMLezCGdbwkYZ6sFoViPiFUkqLIti7Y5F7RjRfIuwwZp46H4aUeFcwwlBhUW9Do2fJn4m/2mcMPe40+BCO/ntPwdNklDrVEIIGM+NRBySJj/jq73adGuJ/TlftosbaIeQ0IGtM8vEI7o1+K15nDXrEVqtxI8lCHuPdHCriTB2uCle+hR9awlohQJSmiKEdG0H8vwoKypayfgsykFR1qOElmeWE5AqXyWGdJV2AoVCw3qKi+IdkpSuTVoJOcGXeaRvsRT5DjuhpX/zxKiifyOIPZcYiMlg8JIxakYGRXNafKBF0lWcz/c+rsxotRJT8dPYTW58f3dZUR5WN74b7vT+Ej+IK9D+y8MUnT+3WzHqsNGifWiBq6ZwMNtX7VEdDpeHJfXljbXvPLMQWYHNASnb9hty5BRud5ugXXMTLOdXfki9iHsCU7AckVg72jOGtlPEIWSJ3QRZp6RT5K65pTDC8BXx+MQsJzk/E6JHvO1pyYKB+8maEgm4ICw97zJG3KPLHCLeiw7XcbHsfHxlEyAwcqFXZ5O0PBRIZjPis2D3jsum6ygzB87jA+H5JkI5YTMDftJiXLAuvMxE1frQdB/jWhrnSNpujQkMVKZlRC9m547/sXU3jfB6/NcSy5MCYkmQ6ayKSRAG+yc/MV2fMM/hmy1kZtpgkYUXG+J0mqzFLUyxo8iPGHwD/8hlfhE5qbEe30yGPZWJA/Y2YPPsZIkxUZFBH8RYy5wJ8O67hWEVynS1xabOMBf+1BeOrLnonbNi6p0Fr0PeZZhvOXtrF5+jTKjrIglpsFgEwgtJ09Q5MiyBYYKzmwLUxvmMwefu6uoyGIF+pqOrErampbi2KBdtmgXbU4t3kTlhf3cLo7hf/wup/F//ip/4H6fIvT0RkZ+cz6Qg7pNIBZtnso5pnGA6XNzomLpsc8LVDVaxTIsB0tcfupFeI/XeBrv+8FqO9f4lJ+HijMRFda72LOsClnYHsYf/Yddbj4s8+My8HkAQxjVLedLKdx69EHksFgxGvFCRPeUBjaWwmJUjCTGeUdBnhmSBcCiD01B7R7JKsixSOOAbKhxzE2HizSrCV7ZwAP3QDEn9WgQy++2XiiZp0SrMYaU0xahvg1Xr6Ptq+udOB8tMcc7uZc/48KjFHLhiYjl75uApslnCwDu3NaDDi4JxEpb2aEGBuugMVGWwuaxpfbtC1UJlrc+2lPwMZZHGTHOJuDSTcBcysiPGnxfFTvS+OevrJDzNACnrxbn5IJCzbcb03cuAaiNWfIBNebMc1G13A0iQlji9u6DiZLBBX3N4yvdi2F9Xi3j7vsh+w1LwNDxytkf5o86V2XfNf/Or3PvkNniwmskmakFWcaedUIeI+2izBLN1SAZoyhUYymXiGikVLUIUtz7C2XSGeF/EOiJEHTtcjTDG3ToKtabMwXKFcl0jQX0y4tCvRxjIpnGgtnMoK90AsyRdw9XPPUCI9j7sdUkip5YGQOQKoVWvL2HiTbbJSbcmLRJourEiXl12jM5aeQ8k6fOLr8/o6r1Zbw1e6q++yKueyDBXac9ykGmYCQj/I+Mg8WS45nrlj/uYxVleiTMD6Yd4fc2q4/m4GUZJSR6ryy5jTzF4Eqnk+eIDhuEd7mF9A1YljOuy2B4z/xfe9DvswQk3wg5jKzVP5nYL6yRC94bYUZR9UIAvbLrmGMNOYEYYcsStH0NGmrsRMv8bhnPg5PevETsSyWA/PzMvM9n4S7O17p4Ve33y/KIrS257uqxrxeYPX7Jb7my56PzXIDOU3ZXHVWN1zG7L5vj7RVOLnFTNakHC7iIp7/sufjUV/xKOxmlMAgk4gvYKeVGbgbGMY4E/b/YT+/4TzB1M8afGquNxnStTWD6Lkk+aeJ14juUZDxI9NJIFOjGFWS7DRn/G2AtsMGa8ol9XvZYMqHq6VcQc3x8PnsWojIQWCYchZsKJGRTvYsdcyVK43knBDbwpqZ3oqrywcOexNdSsPoMF4vGGhrk+gRsjzD7u42NuYk37D2Yc2VIWln+Lfv+Gn86KvfiY1yYfrh7jWhWOSQt+0t+87+r/AJDX/gijSYmFlii1q5FhusnFAB8jhBhRV240t41Vtfhft/7ieJ7a8d2kZIOE1PA0IxZVlv+bHBBh4l8DT9ZxKoLaWkcjOtpLKApp6MDuzvxd6T3c/9ebEZqLt2vab6WRMflmA5EsOEpuyLpVb8UsubjUjWT2w88/qTKNLXvUDPoiJxksQnq+OUmhP8lFwnu0DUV3e5FfrjELfI2NxjM60ldq78u6Pcp2Aji5e6Ep3RqWzvei0WSIORTVbMu5nITpLtqmPdBzYpCUSHo1ueVkF3PG8HzyiC5lW0li68SFvuuzcleIb6cMwCxkkL08W2el869pO6xCThxsZtADZpHqq6s6KhaIZsOVOTQQ0D9+nj+qAcDGU7OS0VzDfD84VawcgAJwuOW25EfMrikNCOLgUljwr6K+4SOM9tUsanAkMzzHToncDjniMenp1cxmlZmhV3KElKo0SOsK4WKdeGYv8YWg8bhU7ucaa/bvWqTU6Y9JDJunJ9sy6l2gSJAYwTaUSSSIbZ3ob8AJZY/tLND7r5GTiH34ioDXuMX9cKHJ/hdnzO3gd33pIgeShJKusFdY9qxFJQ502nNAK7xyYncFJfdiNcA9zfhN0kA6gMpDK9axqQUbs45caue43YJN1cVOYQXC2dIwvEUesAMIoJwkS3UkebsgQ0cGhboggjU3oaZAdkcjjeAsvJNqSdJ/s7R+MNDU7aVzbB2882DbyN/QF4ZDkFdurAMTZGKYNuVOlQnjUEx+dKYgiOq9uq6xj0X92p2ZMTawrw0PTUuCNg6Z9LoJxRymUIZxOABuywiyYNphbdvEOVr82J/AS+puA4DRLJSE4IjtfmVqzRmpIjWGSOWId+SOVIGZfiR4R4btpm2AGwBL7va1+L7I5U+nF9y/2hgUUHxw2kIqglCWBE4pJvSt6mxZpM5YjfbbGarfGhzfP4ipc+HQ+69aG4lF1CUi8xS1J0TYK6M0amGXTZPdYRNyEyjKzxiY6vH3rGgo7RNZQ9MdOWNEsQp55iERhPNMeFdq/FueImFOtMn7M8X+Jt//CtqH+zQvWhGmcWZ5H1BbpVj3lMHWxLuul6fufqvLTCkzRGU1ZaVzPkKFJq6zW4M9/B7idVeN73PB/5nylwZ3EBmDfY2dvGZrZpwHhnjHszp+EvS+yCZugJLJ/jeUkVfzZOGhIU7SLXs9Xhw9Fuxi8msGUugJwsRCUWYkh6mRDQPjFuDSgSKMkEj8WGGAjUrqsF2qhAOQxr43g++b3+We4SHBey7PdlOBy9wNnHKBphq3AfAjAeWK4jgBuSWv9dR46dNmqKkbXgybXG+8jqYJLtslhj4BqbpiNIbbHDGLgixAyl2GBWr6LBH+ufTYkQgXCyY6WbHEyN6NdhDBx+zxhGzsac3PUASN3rF8KND3BCV8BBGsVH1+9mnha3AmfIrkrTAu2a/gwZZvFMWqBk3SGlk3WHqmqQ5QWRaeVxBMbX6zVmeYGqLDEv5jrDCe7lxQxt36NumQH3oJleDyt2OGVkY/8EFiyWc91TipDgOAuCdJVjtpwjq1hshUvmzt7OrlFuQC8SFcM1ok03uOK4t5vQBRbO5BlO6Prfy192wqofwQHLZ6ekE0oUBHCcoKFAgSq3useblEFDdSz2ef72kmIkoabimDnZtQJVAjhuOfjJccfMA0YyAGwMkSjZLfC+f/aTeN9r3ov5qtBof88ct6MMkPmxDLZ0XnvZSWT1gE1EGrOV5wurgiyZCZQiY7LGWvJuO/kST3j+l+HWr3s8VvkIjoe6yO/CyMidMEuPiyij5zF0Q1J9RZYD6wobzQb2fq/E8//W12K+ojElVwBlR8j2J8DLLNuuw9FKX2cPkoVaAJfii/jqlz4Pj3rio7Cb7IjQIOkSr8MILnRkdakZ6MaUR5TlMUcdr2sEJJJEliIuOa1JcHymPGKfXD7rVkdPBxAvogRELZygXpgEBOXZFgLQqGE+Eyg8xCyB49YUtGaD3QeZEEfU6G/R8ZcMPklG43Sx69tqLZy8Zr/VI9YmMTkmkzQUU5KTIYHRrGnrBjlSNDstzuTnsL7Q4eu/8hvR/2GDeVUcKpAaaG5AdLBrHcFx+qOxAMuxrkpszGa4uD6PR9/6l/H13/0N+Mj8Dt0nTYa0NkmYLJRpAAAgAElEQVRPQgXBcca3lFP2Ae/nx2F/RDIftQxYSX5gs4/1hMxSh7x2P5A/AqJGNjJg3GKect0jgePTyxa8NMYdqTXF2KWda3JlwnUckWS+XJAARzUEtv1C40X1WHhu5rCUWTFpE3rP1XmHJrfPEzeMC4z1PLcdb1ISbc8xysFa3h7IacxN+H4KGTzb+SLJF5JamL9L/nBsCaqW4zQF2fsinlC2y/0sFKPt/XL/8J6OTPwD0XIC1il+OfaiBoX2oYGcImY54UVx3adSOTHFpgLBfGIj+XqmvIfNE9WVap6YHA2bJ4OR6RRHcjnigQR0tVMDh9otd/WgsakS3s/gD9Pk1LpS7qaY6CauQ37gvoYkCQfbN0ETQ9+KtTZlmTuUlJvKSXpoEDk4zttkS/GawLjHepWu/GQOjvu+4cdQzSfeFrFVNnqInXWokrXWLKNlURZY7GzJ6HyZLX/i3APPPT+6Kfrgcb/ha3JV+76PcRF/rvzj1du6svtMMGdYWCAkKGUMMHaMjTF5xAzhSNeEh5MV9db9CYyw/eC4ORgTYKLWU1qz68X6KEVcFTJAUpfQr6aCi/46jsxr3EbByQ5usloJOFGTS3ppzjq3p7gc0A78OAPhvV/lzKeDF3CAsD1oTJsPww0Ph5EnRxNcbN/tGMj0Q7B39qtG25iI1A6OzzVGR01MJUYOjgcAZWDHeJcogPMiMMhskLIRdg2tOWHBVuB4aI8RKElNk66esQvLgEE345MBx5VaSFaFm5q3zcDiVOC4Mcd5GBCYNYayJ5HqCpt8BXWqYnowNi36XfLAc/zgN78J5e83WFQbSiqZWocQaGOFZNbbQcoDlYXJrKNxI4OIrZ+sjTSqeP7UNh7w1z8FX/rSL8f2xiXkcYm2qlBkW6jbBj07kR6Q7FDzFsVE7sdAqDDW511tZaXcw2akkQgo5SFbS8e7URKToGOy3M5wCmcRnU8wW0f4lXf/L/zE296LjXWBGRPoPsfG1lmU6xZtCWzkG+jXlYAD7ix2tPl8VVcjzTIx1duyRh3V2JstsTy9xpO//Wn4xEc/ENubS+wWO+jTCmliWmxm4uPdfR9DHzsu3vE/UhQ52Qfb/RlKFH8zttoseXWndWeMC2ipyeSy6jQkmmHzOd/dfCGYyHIUzw04ycCRpp4Y+PtlVU72Ktz7Xn1sLPA+BGpViBIHy+aD7J8g5zAZbbzsIJ02SGkOZ2xRnQGS7OaUi5n5cDqHbBiygHjWac2we++a4sO72nf28C8sGsYkfjiSlGkbAYp/oBwAzznJqYViKe4Qp/7gYLYpo1k2+Gx9TU2MQvTc30w/Grxw71s1N97xcV0By4UOsAl9zWnklf/GwqXuMU8W2g+U4uK6pIiZpNESMsQ7Y5SXFYokw6nNLezt7SLJzPx5uV5htphhXa6RpgmyLEVZlqDnBc/ywOhk/slCO4Dj1NsnqMNGJdlHg5ZvzZwzZHlMxMJZbFdGzEkW41kNLMgcr00L1ZtM9rHt8Td2zxFW08cEjpuur8BxGnFSIqL08zcUywI9LP4fBMc5Us1x6usZHCeyItG4lnnnHD/1Qz+N97z63ccCjjc9kKVz+eVkUYKyX2ktrxY1nvqip+IxT380Vvlq1Ax20lA4fgak4RqD48zms4T1YINFvcD2/1ni6570DdccHFcNwbVTANvJJTznO5+Nxzz5MdiJt1VvSmbpngbHOWVdJojWiYyDpfM9+tQqzRzAcYFqTGADOM713kpahTXHgkzYJQ3uRnDcalVnjlvRMoDjjLeUkyLAppz1ugbHx8nckNuE/c9PxPNnWe3h5lvO4Y7bP4JT2SlNZm+2W3jjK9+En3zHT+ETcJMMfg/z5dQIPTT1ppQ1l5ivWcWp20Zpu6xGcjrGa972j5DfP8PiQQvcdunDyDI2+WKxpyU3UqeSHqGBJScGZBzoJ41NLAbJMjZw6WFkBC2DSkiOkBWhAcHEAwYZvgCvHJTAHWXNDnMN9j1mIhk25ppuzskq3Nn5wdSJ+sf0E6OiAIFxfl/ayC4fZZ/bQPCG0+4k9gmQ7mlRJc+cvuXkNklITAUMJNV2GKa5nUR8gAwZtOHZ1JfkmjelCJBTG53gs2Ewzj3XGWOSLvLxUW3XopehfWDjG6BtOXeYMh1brwb+avONAG5IxoNHlYNgQabTakvyCIifEQ8h8ca8+7hWgrwYPdtkHJpVampRfkfrjqvBCVxBLnfK8L8uyFlDDW33Soxnmqcz7i1t6k/guNZHIMJOGnVTcNxVJbUKYk5pE+tq3bPQam+uqZTEw4E5fk1g3CNvp4/+BJeD4ySm8D7Lg4cM/I7M8V5NAq5f7va8zAWO9zXW9Wb95lMPOPX3o1PRHR/99a7uJ67ZVe0v9Z/W3t68odpefxHZX+WCXVx2rGinQlaAw8AnnJ0Hh+AgVxIgJhtxMfa49ShNLymlEYIMGgwcj1ZmzhC+9NPBRVtFCxe5BX4W/ApEKZBkkTqJq5yyIEwEPPiLAex/lmxv2EwBtHTZFaMtTERYxneg8HUFgwp/iIevwBs8eEAPx4L9IWiyeiUVjiJrbpLfQUs16ijmMgTROB1BOI3im5a2+ryBjjzRntZ54prv1MCb6rATJhbDQprhXsWp+8kDhmwadl9ZALK5cHLgeOj7i0HDg5HNkzKWrEpW0TyDyDeLZALadknVhOHa4DdohEgN8GoPc6LkVYb3vfbd+MOfvw3xnXS+n3MQE31MDWuO1PJxKZJ+RrEMMdCYwmR9qX+vJcOSYdFmGln7k/QjSD9zjhe87WtxfnEBSbZG29aYFadQV2xWUebIxnsGyRSfnAjNnoFVPkiveHczirBuWyRJgsw+CtBIfEs3PiXjh0aV6xlmdYEP/PyH8N5/+l6sf2+Jm9oz2OxnaOuV9CS7OEFLB+s4R5HMNJ6aW78eSRLLdDRKOHfSYNWWSsqqRYUP4g/xN59/Kz7rKz8bVd5id7GDuihRdyukkcmJWEOBrunGxtLB70nLVWvVXV18vaY/PQbvy8O43TNjPEgrWmN3ZI+zUE/NDyCMzWifT56Dk4Oa7mHnml18K77U3GMMY8osWoNJ55xwCL+m1/iaP/kkGQ4Xcoz/0/t65T9bbRjW9GSUMSBf8oNgk9EMTZTgs2DpzJwqWZqGou6jYksQ/xkGmuxtDc2yACk6w4ka5Bpv9JgwoOiB6WPMb+oc0jCZR6XI6OrxcQ25SZeKJmOcsDjS/zvSPi5NNwEN6zX8+40VeM2X6X3xBawADbtt3F+BnaYpwGCfQD1Jnpdxgnw2Q+1TUXXZYGuxhZ0LF7FVLBA3Pbq6QZyY9q3Y54scq3opuaAkAXZ2LuHc2dMo17WYpBKTICOI4LiKAtunmswjOM4zUJJYGYplIZB1lFAyHVI1R/0jDOB43qCnRMEAjts5b8X3pPt9X7y599BnGmXPwli5oRr7Jkl5Drec1qLcBIFDl68KUlVXAY6TjMI7aDXHyTPHxfg+AI7/u3f8e/zrV/6YwHFqYR+VOc6cUFNMUYRK4HiD9UaFZ7/kOXjkkz4X6+sEHE+ouV23mFdzXPjNbXzjU16IzYqyKteWOU6vIRKtCI4/49ufjsc+7bFYZnv3CDjOe68aVWOwxu5PqK9P8Ku0CUURhGTINKJ+zAeUVmhwmo+3aZ31nBJCrSQEOFU+J3OcDSVOJItF6F+cdmXOMIDjGne0mQP6ELk0Q1vwea05GJjjBqZfD8xxYgUOPhIUCNIoDqqq3ks7VE2p+H4mP4t0J8Ov/odfw6tf/Cpstptqtkki5xBfIzjeS6N8kPaTtMc4cdDmDe7EnXjaN/xtPOE5T8AqW6JNK0QZzWDtpgqGJVDLxzVB/sV8ajhoJXkSQbUm/8cbV3P6ee4yH2T1Kzc0KQ3JbKjOCHiETzYH6RhPCodpqEN8fk9rDeYYctwANtg3Qo4weIL4lC7vlaZx12bYSa4bPyMBDbsO/LwqkHQeUM6IZK6aE5EEfosIIOmIa9UlbKxJbvPMenXJ6LrE6STH5b8O+uQkuVCDPDQnGGvEzPZ74B5BSpWFaYUJcAPB6eFDEJpyhgKjVeOR3FaryeTqPv5+Qv49/u7v9LI8aoDUNZXuEhnyTeFUiWm385fWbgTUbkAtRQVJv5hue2iU7JP/tYtjd/xEWeMjmTZIYOp+SVvdgH/GQE1s876w8OE6Ocj0Fi7h63zg2Jqhqky5ixYVY6Jk1RwcZ9wV8nNvJvdZ/LNBu8SacppIt3zWDDgpSUYZbjLmecZAHhTz3U1ugtv7m/qXLTYWb48+IaLuwrF+XTtwfLe/Hy7i69Z37Ly4Rz9bkyk977XoBY7LhfQYu36HvCwBpKeovhhwQWJgIq0Sxo9YsKQKiuwWOnN8RSF9yjbYog9FC++4NF4dHGeUU9EvjTbXistbrDepD03dVwvKuiI8MH3ORbpbA6N3+mcL6aNC+TTUj529gzc4AOTGlfdNaUj3sGWH7uB4bIzvbfieS7HIjMYSfzJikjXHesxV1hUfxi5kYMf7CH4AZPmUMojRZ7axij52d+194LiNAsl5eWbsAna0pVl2Il+mnkh2WdzTuMMDYZkgL8kgF2fIGOLDWncgKbxlxsueEyJLzLIUKFP8wft/B+/6R+/D/OIWtuotyqyjSfak2cYDK+lpdrOJBIUrOLKAXtsBHPNgzrHRznTAbW/toH94hGf94PNw6dx5dMUu1u0KDfXy05kOcWJUKucGLfFpt9iThKkpmTM1ZBKyiFA1DaK6V9NohgIzAuI8BDlyVhZo7mjwr9/8bvzOL/wuZhcLnG5OY6NeoOlY6LFDzQYLb78l2uzC8wiYZ5tI4wzLck/a4lygJcdqix57aYk7izvxmV/2CHzpN30plt0S7WaHel6ZCUlr8is009WIOlnsvt6HRo1Yg/deaHcEd4KMiiOUfq/MXDGMuRIgd/11MjxMQMfikxcYwxZiPsuudWr+CNKA45hbSFYUw2LJ3hCIObmx7hPZ9Mf3ohNDTGuO2qTRkJBPmBrhRaerdZA8Cvryk5HTcGvF/uY6cAMhnVVurqkx2KUbVDlGSFaJQOvBoGiU3XE+y5AI66wTOO5ffoZZImtmtWTXUjaFxbuAcY10+pitpFS4fia6kqGROkxIWVFt3LDp+Wpr92RlBY5vKdx4pnv+CgxjuUHQzXgILivmuRW9UOhHq4koIJstULcR1usGRTIXE4rj7rMow+6FbZz/0IeHabJPe9inYd1VWLYrLM7Nsb2+hIiFMYvPeo0soynmfADHeQWYN5nGP8HuAI7b2DqBkFzauzzTvJgKaDdBA9/DAsvoDyEDZYLj1NydyKr4XrrRUzr6mhsnK529KhBijEvithA09GJZ5BGCfRy1lv60/fzdMccpq1IvqNcbiCDXDzhOUoj8YQTYExwu8B//1X/Gj7z8nVisZ4eWVVEdIKzJDgteP4LPTb9GmVZYzkq84GVfi895wmdfN+C4vF0aArpzfOR/XsCLvupbrzk4nsQpuN8Jau2k23jqtzwFj3vG4yQ1I0DhGsqqTNqJDlSxjrNcQ9IOJEmV5rlE5v8IjvO+uqRVmLCmEV9cYy3juU5TwczN55KTIkM3R3IocNzyWOazAzju08th751UBWC1vkuK9GRgG5HHynHKbdUydFwul9ian0W0m6D9UItXfcur8KFf/SBmnFoPkjKHCGWjhCv/xAkl80fqVD+IkmXynRsN8ofM8I/e/r3ob2INtsKMJpE1wVPjnEsIYCBGGJDNeEC5UHqzRayFeVZ2ptHNso/VvmQ0ZNZpk/TEh6yZ4URCn6gZDB1F8jB9dQmc0UdjmLq8uotg6zes4uC1NgXHvfaVfIvJq4z4jpnX8/znxEzHIVp+VjetVyxUQ8C8FKbkSJJEyCbj5yUQzM8qfxP56gT5Q8OOgprBKNMyvueBM8jmuWQojC0uxnhrpCjQH8/Nnqe64NJFZ/3G8o+a41kvEpSkbtIKdWw6/WxiGY5l55sm+b1BYRjSeI0CIjUEAycfhBpEDOrKmNRcEzI59etPNQAxx/PacpeUOu3mk2T1ZbhPBxGtk6s+p+tnrENMppJ1t6YA2dxzmUrtA96fMC3jxCYyMMLWsaXMxp9JqJAAykYhyaCcACSJglr11hrnHhKt9+oW/nXy04FmFereAI5L5tcle0UC4DWhuoam4KE8eE7NcUQfyB+QvSC5f/KzURSVx/2xrtlVlSnnBXxx+cc7r+/b/paSG29hbGkzATO9qoOh6Lg/4N0+nxsg8CLsB8dtqY5gmmniKeCzR8rDg0aEZDOUpvUUN+a+bYVNgJ2s+6kmbPBHcJYPN4i00LZKVOzC2pvYN0quoDSYnwWG0zSg27vc/zXZsgdO/f03eyqfMSb2I+AWQBq/QxMJl8CKsQ6wieazO8ZkSKwYFnIOjodxKRlBxT5W4gWokl/f5Lz+Bo67a3RsF63nZvApA/aaBY4XBEFDJ806ryfyJQdpaoYxeZ9ZQrhmk4DmJNZE0VUUiOjyhGHkKoDjBL5jID7VoKz3ME/mwPkU3/Ps12Dx4S2c3jsLllFlsosmXavIZfK5UZ5BhpmzLClBQu11jiYS7Mqw0cz03u5Ib8cnf+En4/GvuBUXz92BdXZRCUjVxZjPNtGuTZPaGPBhpmfcleN6MB1Uc/i2z8XDfK9fIctzzDBTIlxUhZK2eAlgG/jpd/w7/Mp//BV0d3DcdI6bs5sRL1nsZ9iYb+FSuYss576pZXTGwM9LQ0GVKC7UCGj7FqfSBbabizLqWBYrXMh28LAvfBge/8IvBu7XYa/dQ0V2CLtW7iA9zwu0Fc3OyOILUjQBCw4yMScagY60bEOyokbcoMc3MUYKzZrGpjmUjAjMNNbMEFHCRvR3Q0KbOtY03WSxQpCFWnVkFwRtesY5NfyYnJ5UeXGky3fiDzYNQYt3+8009/99+kaH0cLJN623EfQYQ7z2AkVJsxUmga2hsVdquHL0jzpMSj4mv/y57PyZJG6ingQA36W/AmtMybaPZfroJuMDe1pkgLCxImYKwXCuI5d/IBCvHc+n1hRCGKFyRpk34ixGueSLzmLfxwLXb6y/E1/M98I3EMBxY2JZIiLfDRU3lhO2XSnpH7KpkjxH28Uo18A8PYV5v0CxjvHf3//f8K53/hj+8Hc/gNX2HqoVJ5sync2P/qK/hod/1sPxRU94LNbxGmW0wsaZGe7cOY9iNkffZJqiNEaQgZ4qct2ojt9XfhEkOTipyAaXkjk37woFqzPDuMcCc7JhYeXgOJtV+4rZG9vmyKv2o4Ljpoinpkfe2mRlxKlCgn4KjncPjpcEig7IqlxPzPEoTtG1jU0OOjj+/nf9V/yLl75D4LiK+avUHDddcifJpHx+kixNBq6NKpRJiZ1ihW/+hy/Cn/+SP4t1drKyKkbmkTM1ij4SOP6hX70dL37mt2Gxnl9z5jgJCgTalsUenvRNX4EvfdaXijleRSSI2FSzySUcr+b4/nqSuSG151PdK4JgmiBWPUhg25naXr7KX8SZgAaQmfnweuYNvaJBHPUoCKZRmmCdm3fTgCI561p/d2LXAeY4WeOty6rIjFha1YHEZvX81DTwyMHgKp9AxDZKBaiO5pStgePmv1Jp7zQdJTDnSMpCZsw/9k9+DD/+lvfiTLmhmGIA9+ECuVPx3BTP8qjBY02a5yQ0VLgQXcD/+89ejk955KeiPdWh7kvEexVm9OMQ8ehA/ulNZvkgUdZSE6tOoGs4+WRkQr5tyeyRTS1fIzZ0jYyjmoPnmPtkBCNV5rKaghzA8cPX/0YU9FUcjN6viEiNxo9DQ10mw5zRpmyq58VkyDcOTvN3N/MU8UVr06cifUpSprMLSkawcWPeO5IeVGOQk5zEyIKsiktuTabdlLcINTdcxV6Pv9ukKK8VSjPuJGtZwD1lEwfjVmO880WYZ7QiQ1H2l5MoNo1S0xDTa5TwOuFeKK5I8mT/1whlh/dkbHbhQqxDuaddzlF66+yhkPjH1y7s9W3SI0yP+h43jd59zOuT3b+jbPIAjrvp7ygjY9jYgBO6bF6A7RxSGS+gLiaTT5vcbol1OUBOvXiSI7kujHKp9sm9Ghyf7kGbnAh4gq1TKVD4dJGQizpS/jRbL4A0+o3Zg4tn4RT+exQdPwh4LcHxHDv47OqPdn8IdffQkoXxLJK4fEud6q7Wxh8ZtVd5shzHj98FOM6O9UjIic1Z3aEk3SAx5kxbyIwQbEzEnIIzBanQ7AqgRQCQbDyHZgk2QlQXKx0IrvzgzDp20Z11N3QSLUha524czQjv80qXwxbelaBz+95QFA5MopG16DlMgMsctHYA1dntNj6SI+1y05FaxxqZIehiTQJ/uBuH6jkd6A7vKvyIYjzbr9oJ1I0jE8rBcS4UHSzeXWQXjbIqDOAMFse/Lz621UUwyI12csqf0IyExeua2vQ0YBipaGJQDsU3GynhBvBgaNGdbbDCHoosxbw8hR9/+bvxuz/5B7hl+wEo+gLreIUyWaHOSjUeTpenaUmpAryRye1asgUEx5lkzZoMHWqUG0t83tMeiU//mkeg21xhmVxEtBGhimLsrtbI8pkfrkEXwd7Y0BP25NPMNpzRNnR7eiRFgrZsEa1SLNpNzGpg5/c6/OJP/n/45X///yPfS5CtY2zFc3TLxg7nLsKsmGFV0jh04a+3RITKJjfSGF1SoOaBioWZM0QdVtEuLuUXcGl+CZ/+1z8DT/m2v4Wd0ztYFXsomwqnz57B9vYlJDRGhTEbsnR0EjcMeOxAj625wyWXH9siuXY/JXCcsUb7a3T1FrjDMe7WdGo52qrmFRtW/E/XwWQ0bPTPu1TuLE+2ABnjVU7z4Ao1O/pyyTbgnfHLTGhMr+7EmlPX7tLeI8/8sYDjA2PC9W0t1rnO+IRR7XM8w/tWI9cNhMQkYWLK5oiMkixRNl23/YyuMFqrFE0j09bVHYuCA3IMBMAdTGeM45hmy/VDw6WkQ1SweGKyb784Cm2IkLNpWBypyThOSw1nQnhtl+KSXfCEuRLkZA5bHN4jN/nGi1y3VyDQCJTVODVLBAfFN2Z6NM3k+Vpi3a+RpBmqZY/N9CxOxWfwO//99/AvX/c2fPC3PoCLFy6hWjdYzDaQJhmamnlJj6av0BcdPuUzHoyv/pavwcM+/xE4v3OHfGfSeYautvhJlhZ/XqxL7UuHjGIWQpRqY+Od8gIEmhIzAOUu8malCl4ZNFkDyszoOsVxguMsxG0fBsm9G7Iqx7Ewp+B4yMptCs+JBrxNbS+2ZNEZOC6TroawSu7clrtmjt+bwPGUdU2Z4Rfe84t4+999GzarhWq9uwfHDUphJsIvn+/TBKlOiTRF2/S6VqoCohplWmK3WOElr30JHvaYP33dgOM03p0hFjj+wV+6Dd/+nO+45uA4r13wsyI4/re+/stx63NvFXOc4HgamR71PQaOE47vbHpY4Dh9l8Qc318PajqNcbfrkLCxQKA0arAujDlOLWrGs4JygKv4MnBcI/ZS5whw935ZFU07Fi2amQFtU4ax5c223k4WXBvB8aijMSFrFQKOZI2ajGaaJKgu1TjVncUHf+1P8NLnvxTzvQKLkqKTtHk9vCGvlXbjZKDlXSHfY25fY53s4fOf8Pl47sufj72NNZYpZTlLbFH0smWzimA+19d+jxh7JgOKRcJwnyOS52LWIsxFHUVlOckzSxrk0oonSG4ebQaQhqaGyS0M4KxwAtMoPszXxwKOc30ZZhEmF8OUvQPSgSwmwiQ/L3NsGtzzVyyZIQOk7fFa9SKC9Kr72zkxDZcv4WQu82ZOgrisDBtEfpsG5nYAiAN+E9QxpQXgNYGAcpifkOX9sYB7/ZkguctWhF6AchAHyNmkoCGmCFFkb4vRrt2yr76QiahY7yM5cQL5ONHAJ1dl0hu5xAhZ1dbk4Cph3SBNaQLj/EWd7dhlXYKszsBW9/vvTaGT3b8Ojuue2jpUjSyis7HHM8VCy900TU9ZUzbBnBzZyXMprCm7xiLUai0YOC6lBBHUbG3w/wWO62Lfy8HxifeN5IXUELOKziYOjG2vHJiTNZQLWsco6hmJV/+l+NTib0fz6AOH2f8f7THXEhyPUOJP1X+w9wP9un1MxQJ4nqBcUFOqQtJVSEyO6uQ6HxNwXPpOg6yKBRkBz+yqeVgYAHIJadv4hDYBR0TEFs5kQMKNPxC6ORXoPUMyhHSbJ0xNymn0DEYcs8mBNmMnkaNFlMgInVNLtPkerTM4guME++5KdulK4Pi+BTEYCnmZqCfyLvz0SbULA6ARUF2K5qfImxkyOtEz+HKwoYwUEFTcDZVDSEIMHD94lOlV9bQBHDfnZplhSYdanBHJhChIcFR4RiCYBaWN5Z/IlzPHuWnzem5O3csMqYDIiViaACADx40YGTq4ZlhXocbuYhfZuQRVt0K+k+HSz1/CP3/JO/DAiw/GRr3J4TZUCacMVjzysFUukCPX9y1g8jAB6tQEfalzSEX4ZbKD+twaN/3Fm/H/fMln4VM/56HoEx5EGTBLsESpgBTANWvmWOJqOzNIGfB+2oFmCYoFrn7VYjYrgDuAX3v/b+KXfvZXcNv//jCSnQTzOsesyRFXXLeQ4/lyvUSeZoiSCE0JZPFpJcgRE/kZULUruaPHSYE4mqFtYuR5gd16G+1WhfOz2/EZj304nviiJ2CPYP/GNpqi1oRBXdbYmG+KLd7RJI3AuBpdDp/p+gdIJIS+qWzEiayiQ78o743ugcAdixXqJcsbIUPekMGfIqMfQE2GwzjBovXYm1+Amyt4vIMYHBxvq2h2u2hQJmvp5XHyQzpgPZObTNf2Bjh+6Ns3JFO8f2p6HpBVGUcJLX6OMiIT8+dhUmmiB6impYF8bFwxGWOiLlZqAMUlJhgSXmN9hS/3RbazQCaek88YQkPI2FMz9KVhLptzTUrz1kjnGJssmqBVjKY6nlk8MTImjs3VEw0kg10AACAASURBVGkZnbcHZI7CGTKVVBl1ok+2uD38nb/xyOvmCgySRJbwSZ/fR2LFyUtaVD2nshqdLc12h63+DP7glz+Il33DS5He2QCrFmk6QxRRJiNB2dRY/F/23gXcsrSqDh3rvfd5Vld3Ay2NBKLyoQhInoJKvCRRo1clMfEmhuSqoMQ3aqKAojaILwQBoxCeXhBQJAE1Ro1ofEQUYjQxyUUNIC95NN1Vp845e+/1zjfGnP9a65yq7q46p6pOF12Hr6iuqv1c6//nP+eYY46RraHrODXYYL/ZQ7wRoypqfM4XPx5P/VdfB2zE2FntIMnYTOKUjjUf+d6MsWbKSSS7tXjL/HJpuuNihIVt6dW2prrc32UAxwkOOTgu4EHngzauGz/ea+7CNftBDoPj9kUOguN92yPrExTdzMDxRSRD7Dxiwm/B9a5kVe7t4DhlVQJzPIDjv/8L78Crn/5KgeP3zBw/DI6bh46379El5kVDIohVUjVW6QqLtRLP+vFn4aGf9RCU9wLmOM0ESMYgOD4rZ3jfO/4Cz3jKd10VWZW6rwUm7ed7eOLXfSn+/tf+fZSzlf7uShpyXog5zvpW+seU1iRjkhJCrAFIFhrDj01J834yB/V6mvnriqxRB8cJDOZ1JHBccp1kjju5xQdnhnwhTOiKrkTNagKsZI4XlFWhHNEI4gX9aDVlBLweDVw9btCySpj5EAlD9Kai94Tl1AT0FamrSNri2Z0Fvu8bbsOH//hDYtKjbTGPZqj740zOBfknzaKYx5cXqZT+qrMV4hsjPPOF34X7/5VbsV8sJVHDEjPnx6s5DW5eTqrDVec6A92NrlPOx/SZGUrLiJFsZmeTEzz0/FIZomQ8XIOcSgMExwkSBoB8QhQc4uwxbsJ54LjntLYa/P89HzUpXBcBCUA3/40kX8mqJpY7SPM70n0TMC3WNuUgnFTJ6+w4AHNm1Vg5x+NN87sj/iPNdWMJj4ZrY1N7Ku0iE091yEdcxkByY97mUWZsduIz/EwkcQ7EGPMb4ldVjUwJFffFI+jNnCeb8/5OjTr9uqghYqaeds9DoyVkGEbktFzGZFT0i14EjRmIRlGCtjdPIk4qq6FfOAEyrlH39G4xADrIuYQ1alMfPrFwYvt3BMcDQWgkwZrEVE65JDb4xJg3mRXWzsEmT9Yhsd2vgLlYc4zyNoxfJDi0Nl3g4DhrqSBHY7IUVwzGPcbuuuenDjWdn+zWhAnSQrbelVNwypkTSV2ma4kV6OVXosDPzW6dPS3ajG6/53e79Edc0ava9/1pvL/7usXtO98RZ/lGnQP7RY1oxqmBpYplgqAnppnjhEletlHbaWTNWtIaGNZTK8oRWON3IPWfZpRk9WSrXIXMwBr2wBNYO9KtYpANeDNbSAxIHN2lGULGzdDJ0bhJO5RdqUOHjDsbsTEQn+A8Y0Kc0M31fFBhXAqHDv4DhKHpd/XvZFFu6HLaCW2IiNyjJ51mbvJ5va6NT20xBmEuYHV4vKOgp4SR/WAIwW4sjSPZMWb851uokzaC451kVcIYjWmzafTHkyeZFMR805NLbuxK2dhSVvL+U1KlsDGaoBejBssoeyEtJTLi6Vzsh/ACC6S3ZLij+RjSzRjFKsX2HTfgFU97OVZva3Bzc4vYM3zGKt7TuOGM7HxQm9u4A1xXTFIq30+UdIl1eHEMdYVz2a4O4u37beJTHvUwfMbj/gZOP/IUsA0Zg/BwZmJW9Q0qiadRTs6UrQg0kyXAYo7APDta/aIDdnu8623/G3/29j/Bn/zRn6LZabDWrwuIpbZxkdJwM1wIy4wH41u9ZYoC64LN9rC0ziiBehrxRByjjFG3lZioq40KfxF9CH/l7z8GX/Q1X4DqhiWq9RWW6ULsgdFw0MB709MP+m222dSECWxbX+cXkqm49DB6Ms8QA6Z1QRwZGxqhkIkYCxPK3HAclSA5ExLVnPxR/8T2jcUpQ1qUqmskvxPjpi1qsbI08sbXl8G6MRsPMsdPprg4mat+Gd91EksDMG4xZfwJZleD9p43r8TqFlvFilGzXjWmiEZZKfPF3yXR4ExUd0sf7jnjgwxQxmRaengunTKpEewDHcrDCHy0yQq9GCaxa4pzEoZAeY+aSbMIWiaXxbNSbFz39+C/sGGsnRkaWOFNvXEbomTIfwcGux1MBkRdxlty/aXuQ1fApQZCQ9h0UrlXGONs4ijKY+ytzqGYZ8pt8v0MH/rjD+P7nnobcGeHNY+H5GkJYGDuYxa1vjaNfbXf7aHMKqyKEo/4zEfie374NsSbwG7HSa4eZ6o7ka8X0i2VFEKjOS3Fc0lyqPGeqgHPzydZAqtqEUvSIZA5+FSyjBpEaz3KzDxtNKasAtoIEJJtOW+D34fu/WX6qvcEjrddiyQiGECtVZ7HZtLF/xZo4MHr7sDxdo2GXOWgOU4io9anbv9J5r8mN0lSS87GOUGgMsPbf/G/CBy/OM3xg+C4Z5wCDeXRlCRo2g7zeA1t16jZtEyWMuT80de+AKc/9dSJguPc5wKnkgRkjlNWJd1PxRwnOL5Zb1xRWRXrjZn2MpnjX/SULxQ43m22Nu1yFWVV7ES2GEoJhbzJh0ZQ2uaG34VjW8Qik21TTk4N6rhDSQkBgkGzRiBsWgFY9MjqGTJKLLpznTAzN4NX/Au+SfLLqQUmRWuQNKCB4wfH9ZXn6Nqd3P5hJE6SGNVyhbViHVVdm4xF2iGZp1gtKmxiC2v7a/ill/57/MyL34DtfsskKSgn3XDS1iY4j/ZjzaY0zVE2wDzfUINH8qXxEst8H1/+zf8Yn/dP/x660zF22nOIc6CullgvcjQVJ39TK9MHzypjeYe1QNa0nLc0EWX5Kc82Mrkor5FzqpUAmE+XS1RERqQEyzv00uU24JxALIlkInPF9KwzVulAwrvEi3BBcFwfPOSUF8osA7lq5IyYFJvl2axZ5Y/AvLxLUS9q/c7/6bNKk9w/KGETSZ41qseosmXflZNkFB+mT4jJ8g4D946B23dm1W8TECZ9wnp3bJbopKf8ryRWUvtcnOCoNWJmhJnBFy1M9XtOrYfYZLymPLjMLL0RWCZylcxTXQLG1QTClbM8nWx1l5pRTWLXRKoCXreSUNNTXaxw/fWMjb7KPAI4acovfs2A4+MEWGCPi0BKVxqS05axNQs50e1xjPURGwRRRxLoWMtz0q/JWmAtkvwyCRRaCwFYC2v94wQcD7KwAbMZtDpkZh4j7wr0qwg5VSqaGE3Vntm8afMZeBB+OoouvxlnOKYuMaRc/MP7vl/DR/F5+39x9kVZUtxaslO2CTFg06hE33PjmW7WifxMgOIROAujKc6l9ceYfIkB+SEhtqKqUUDMqwJFOTPDJBpTUkja8j4/hH3kwkd0mE/5ZJl1jBJLcNQtCgC5uqg2bia9OGdU6LOG8djIkmQd9JMup26uj+8coP4dAsclY+GjaXbIhZ/zGd72+uOYESVkZivqoaXo69502KkNKOkF6zyEsSRpKzkYxJBLcJyM8M6bo4eZ4yM47pdQ4HgtNkAza1HOGlSu03mQ2nj1VpISQW7emuA4Cx+ydB2IDBdSWJNlf9rwivVWVGiFJTRaqIDtHst0H8t4gajscWt0K97/1g/i9d/xRpw6exPW603TXESFokhQlSszY3U2NJNgFuc890xpw8Aoa20bi1Mu1D3HDGlmSmmaFR7wiJvwgE+6Hz7hQQ/Exg2bOHW/G3HDA08BM6BdAGXZoilrVLsrNxy7HR941/vwvne9D7sfPIcbqi0ke9YVnkVMYDN0lVGUY5oF9TaSZR1Vn7bQcjfpExp4rigMk6Uo2TlkE4i3cLlEEvVIZ5Gc0s9u7eOxX/44PP6fPh7xA4Dd+E7stjty/eb1NPNJ6lMxnpCBYeC4va/mKwTKCZhT/nPY3PbqrZvL9U6DrArZ8V5lU59f7AWOtLJLXRIcz5WMDAMW3ItMPB0UVewITAAZ45BxSG1/MhrLYSTVDnyCR36tPSm7rjl+jDsaRkIvNP4zcThynlUYPVEirLEzshACE4RmfpT5koSKT69wvDOMJA5Vi+1Fnl8anYwItLvclzPRD7PFtT5cS1wTCoxrZPpwHDJhAh+hT6ld2AsYp1kvxyWHjpRPooz7z8snL1JtDYYP6LIxB4Bv+7cxUxgO1mNc/OtPvS9fAWnkq+Cw8yGA46b9yvM01nrmWs+IRux1+Oj//DBe+PQfQ/WeFYoqt6knbScNfkp6jL8PzB70WGJho6KzDvvYx163j0/+9E/BC172fFQbK+kDU1d6t9oTUFFkM9TLGnnMsYtOEm0FSRcCx6lNm1gz2/O2WPqEU3Ccuq2mZ8r4beD41LjMNc0ta7wvL4Fjf/d7klURM9ZHggkGsbmRME+khnzL9WJgxKWA4+J5inJ2ssxXo4YYOB40x+Mqx+/9/NslqzJfFhdhyDkFxwW1OXPcwHHKK9KgfZbM0bSckyzRzlucy/fxoje8GNsP20SZrQ5MOw71mQ6MUBydd3IM9/6oOyCAa3p+wgk80xzPFhne/18+hO/62mddcVmVAI6TJU5w/Au+6vPxj77+H6HdaCSrcqWZ4yNNbLyKIgtR1s/BcbGGm8zkJSb1sOrAARy3tVxSQoDaw7NGlzQlQ3nRIeVENmbomMeGybPO8oQx/lkeXJN1mdWI5kCVmRmxyVYxSLqkxL0EHCdRLqPpbNuh7Rtk6xnOLs8hytiMLTBbzlG+t8TTnvhNmO/PNInbtq0mOZMsRV+NU+SXHsxYj3KXRSiKbSxWpcBQsp/SjRb5LRm+92XPwfZDb8TZdleTCLM8RdOUyIoEZblCGlO2x2leh+RNTEudx6cRlkyOlsQw92Goea6xXvY4GOxmxER3/W3mpzlrEpMfKWUUacaE/KGETzCdvdTvH/avldC2fodVfLcAub/TgJeYgkAwnjQzTgPIu5K4iMutUGZFk2GjlKH01oNZLGsvNgVkTEo8yJsBZJWzVlNDyK+2M8OtyePngFi3o/eQlb5EBdx3KNRtZLa3RqyRJLA3GIJW+WAYyffjluH7SxOdzUq+h00p873idKLbf4jsw9drq25g0GsaTprxxgTnJFtF6RA1QMyQlbrnXGeahBZtLsjZhCbIwWbIycqqTCsSn1D3axAwBl7LrM/lGYNlpLM/rXPkzOF4bVMDx5VmakGSWESfGNbgLfo5yUZuxEkik/vCDdWQqz1c6tq/Nzw+NFCGiWhXVwiNNn3GjlN3VGPgNSvQs1EaZ6jq6t1b99/6KjwAvxtFdC6+/D9XFJXu+z7FWXza8gPnXp11+aMXbYP+xhx73S7yjCaCHCU1hs5J/YzJ7YEh9oHVGwKmPc7B8QmY1Gt0LZKcCnVwCJBLV8vZ1OwG2WtYkRXej4WNpClC7iatMdcaYmAgMJ60iGYs0FptGGlCqWNnUInAMddjtXUUgGu7mpRBCN31CwHkATC0R0901kMCM9Vn1uecjO4zCWzIpDLJBo6OmqOzQrG6o33nd9YPu0Fj13wd9dieY3NhKiiAuQJiAnP8EDhODbl5J206JkGjQ8vVX0EExrMuN531lbF12TBgcT0YLgyTN0wE7RoTTGSYY4cYhblE19HSmF7Jgl0xbPbb2Fqcxs8/+5fwnl/9c2yd3cJmu67gWXZLxBnB9RZ926rzTndxHoMEpdjNpQa10TF4X4yNRgZTzPHPuMMyXoH/q/sl8rUMURpj1VRiokdpIu3SqqmRMnHj82mOwF+8u7x5lEmrIxTeGTV5DhYy4qX55IFrCU9YoQLqJo9osMI8WzcN9KoUD76IU8xnERbtDlbzfXwk+gi+7Nu+HI/4wsdgJ/4Yok0y4kuk8wT7ba0CTUx5suFkEBPL5NQ8gByUR4fEDyFOX2jFTxpeV3/1HP8dBVa7B4F2p2QByAyIxcqgxhkPYjJNBI6HZp1PMwRXQ+1LGYB4gkLmuFzLydYIHWs/jgeWRGDeXGfuHvVOjhyU4YQYX2qSnKvB6P+iE0hZMve0m6xyNJIgOO877zmnSuT74Lpl4RAbXsQaZgIH/QAyk91gujt+DLb0wvikWOZiiRuThIkyzySeR+N+msoYjXJGQbyIjazwY8aHLJrCCRTOIX90kP061CQIzzdgaTLaeNQbcf1598krEMBxHpDqX3tso3wYqxbOOcRpinJZoUCOeBf4l096GhbvOodiL8V2vI1z8UpnLpnBYkxSAkVAucXHGjzhVnod5nN75TmcunEL+8s9/KVHPBhPf+EzEN0cY5mvJBnHs7csS4EO3B8EC3NOYRFEWNhkmhrAwuJc39LjgZPJBJwIHBJzkuC4sdPGJuaouXsdHD/e0p+C4zb948xDJ0MwA5KhKpmEzhxn05o5swBuf/xRwHGlMWGC4Hhf44jPJgsjQd+1Rs0ga7KZ4T//u7fhp5/1GoHjlyarYuvdXJ6Mt1jzVIpTZHGOWvnpCslWgo90d+Dlb3kZ1h+ydq8Dx/Nljne/7X343q+/7YqD46LBRPSoqrGX7eJvP+kJeNK3PunqgeO+AYIXCj9PYM8SFI8WbibMaVL3UbBcwZnjZMUy7pJNHPUi7dSUVphRUqFH1vSaUlUeK3Dc4qqY4xyZ9jrXh2gcHLf4RzujmvFPzEuLf0ESUk0DeewcR5bkiNtmyOVEr0LP8emuAXHmGpU1WiJ6V+U4VZ/Gs57y3fiL338/8oUUrJFFqWRFKVFZUMhnQjC4tE/E69cgjjOsSFyOC7H162SJs/gYnvOS5+BhT/h07MR7WDYrZBkZv60mOOJ5jFW1QhazkWwA6Sh3Z9MAA2x/mPhhqLRy1dlqJqkJkeuEh4xnpzB0N5emPJh+USYnqbTe+RqXCxyfTi5eLEDu2L8ueQB8DRi3SU3W5GSKi7HGiTAxpzMzGdRkvZJ4seDZlBDwTKIJrShyyhMCy750aZnpFDSBVGdmq1lkjGOr4xwcd+LcMCkts06rkY3l7qB4RX8qY/MLLCeATpZ/WFNh2IxkGJf8MXDc9o3q/jCBcQAYtvexSTgDxAeJRK8BOAlQ0mMgZ11hxqzCuEKzwFsVAwt9Iok6tuJOtv4c5//Ns02fZmjI2rpIKCtEEpNwQcovG04kcJwYRU9PEmuSMxfl9EhNORX/Jb8vTfia3Jg1RH2nf5yA46GpE3T5h2vZM7c277T1eAOrnQp5lnU1qt/dunXrn0enondfWsy7+EdfcVS6X/S3Vh9cvhh7+NKGGrWnMuxHe4jTpRxZub1OEhwf8lmL18PPVERl+k+BOR6YlmSO8yISkCjaXCA5g31UmsYTC6UAlEpvO4wgke1JgNmLqEDeFpzowYcBSIb20qLybiL1mahJ5JrBqdHDfbTp/Btvm2jCyBuRBevq6qlj10tTO1MnzeCErABnQdXcmaHRuWw/0+8CcJjkODBqXeMRrGfQYLorIMXkzSwycKyHWI0SHbU69V0OguMWNAjUkc06BceP6MVx8Tvkbh7JLjAbIomMSHn4sUso1Ai9GC/jk8XQZzec/VDdw16a6UzgorxH0654QWUiw6eV+y1O9/dD/J4ML/7mF2P+gQLbq0301BDmnsmBpmuQdrbGYs4mqawwzb1Ghi4d0phjTNa5DskLO7JMGHkveP+rmrOLQJrTxLPTeF+UxJjNZmIpjAT0g/eXgb9w6ZWm5XegXE6iMW8y6uquhIm/2BoLI91e0mt0NmHHmHaiVYOiWFMs2K93Ea+1WBR70kv/ymd+JW545E1oTzVo12qcW57BbJZiZ28X6dqGvjevQ0jIKC9Tk4zhLH3+fdJ3A3PcGkHhUL3GDS1MKdD2JsfkZAhDbT/+N4FSG2PTxRj2vjfqPC4wzkiT1g1AmJgFjdpgKByW8oEDwxPgy7KZ7oMvEpgrVuFNkrwDwLjlWtTlNB1BLyYDi5/7WmOSkTVFCMIIHHc2jhFs7MexZNfl8mbttGMSGrn2WJn0uAYhWeIcceVUAVLGcWOUND6dERqhg0jaJPbptYaG8thgZvzIxLgZP6Ill2NTa2T0hKRzvE7XwfH74Ka5nF/ZZVUMHJ8YnUuWi0kKgT8zW9+MNvFvfvAn8dbX/Qo2l2u4X3QaZV3jHEf2E2ogci1bk1ZFKM9/QQ/OgI17FLMcXV9jf7GLWZJiGS9xv0d+Al74uhdhv1ignrVYtEud4VnKxI8a5J2D47mD48YcZ0gXQUKMowkoqzqXk1gExwk2GTh00JCOOdzYwL6cl/S+9lr3CI67r4dG69m4XHGay8DxYArIm3hX4DiZdZwqqNcoD1EKOAjM8XsTOM78inlo1s7xm2/8bbzh+153yeA44/koq8Kdw/OHMpQmGdb3pv8fbUb4UPtRvO5XX4f0gQmq9GSZ46R0UvuXsio5+S6rAn/yW+/Cs7/p+6+4rIoya8ohRpU0xz/7H30Wnvz0J9t6uQqa4wHwGsFxM1Jj3kn5AIHjbAQ1NuGmOKu8fKw5R3AcqEnM4NTirEGU9EibDv3yAuD4dFKaBLTgEZZQzo3eVGNzsOHkzCAfF5jj9w5wPEsKMbDjqEUxT7G32MW8WEfU5phV6/iV1/waXvHcl+OB6QPQ77EJFSPJYuxhgZZTRSRnHQMcl+FjFIPDvnFGv4yFfK0e87cfhe980XfjzvgsFskK+YzvA3RljYQSepw8bmuv7jy99O6s7vFkDD1gEAPL1/NQxsR8lUuGlLrClGUN9cq4rlwmh5rURavGCaeixB4n530warz0kyeQU6xuPB9DsfLmrsBXS1pZa/LHppKNrBgAaHl0SSLNAHKSV1IC5KzRyNzmhdHzDR0h7hNkLTkR3RU9Sk5BiCjJR1CC13ESnfuOxXgKz1cxWYqpb5gl/soTHKDWZyRRTrmNgeICx92wU/eAYG6AZMKlJeFsMm0nbN+9UcJ72tUKpE2TT+HnDOU/sQeedRFLUjbCZEhKZrRN8UlrXQC/vXkA9zXxMdziMFk6RYkv/f5fnmdMK+IRGB/lZUw+VjWZTIqpO26yasLR5ENI/MvXoLAZrvMe7bzXtaFMFEXKzVvP3kM6/06Iuzzf4+q/ylQi05otQVffEUvtPcpWp8jLGWbdGqpdXov+XLKJ16zdvPG90Vb0sSv1ya88OE7d8Q/gKYsP7X1PlhXzxcwceuuY+lW9xqROFBx30GBaywccweOlbUp/wCipYiHNkgLvEJE5JG0ndonM/MCMGUyKIDBqBRZotiiAjT4uM3wIA4ODe6v0t7LetJmoTe4jLew4ihZ8wC04cPSmkPgY/APs4CHTXZQPBtUp/EBNDKWmYkRNNMPY6a1jyYhIR4xRLATscK34NWRkYfY68p9Pe0RpZGPGjPVk0xDY4Xiys3wvDI5Tl93G7epZgyU7yKjHwvBK7ZC7eV0mf7PVGtIVAUmOD3knNYrRksHsSYJGZrTzbSSJmrx12osp1q91YmNmaYRVuW/68mRutz3m3To2llv40Ns/hFc94xXY2tnEqWZbXceSiUlM5qiZFXAl2XFihw8nDcT4JIAep2bMwYDam+MxzU25BmWgk1iLhoC2gVwGO+nP3uCIySAPHV81dkI2askVqH0vcN462vxE7IYmZLa7iIx9OgPK+DgyldP1CHeeux03FFuoayrK1cBWhP31JU4//EZ8xXf8U0T3j7Cfn0Odl8jmMeqakkw95msb2KtqtVFTl0yx6QSglpyNjf1yaRI8N0kHO3h1APsOvEtH2xNYU5fylsoxOVYqBi4PXZp+kDFOwNRcycU1cYmj8Nr63sNEi5mqNBw/lZSKs8c11mZXKDQd7PluzuIa5DaCd8WPkUu5LNfMYy8Ijh8Y5zTgWPuJsZegm8x9GC8ZTgwQF9Almk3QTLZGpkz6DnsVi3gVAtKYXKqX6QWr4oYnqsZmce1Hjn2S2aJupu8zj/X6LhrhHJVUCNrJEFdv4yJPahCb6BM/SmpSiZOf8IdpommfeWzaTh8eEP9r5rZf/6D3lisQCk2fwhsAFn0+xj1rNFEK4+x7dvBtX/ltSM4C+X6CrXhTW2s3KcUc5zrmL03BhXgYR2oy122jEfhz5Q5unJ/SCH1Xm+zBfrHCZ37R4/DVT38y4tMEzCtAje8abV0jT2NkTSLATYacklUhC93OYCt0w3w3R59Z547MyamsSshVWWiGcexpPnhvuS3X0ucIMckmbyZNCi9ig+k1m5UExCm9x8lSmRQG3fd7AMeD5vi9HRyXvGS3hl973a/jTc994yWB48aYmYLjo+Z4pzMiRprEmpps1hrcEZ3FG3/z59CepvTbyYPjAsk4As68vZrjf7z1nfiBb/2hqwaOB0POv/4lfw3feNs3YkXzxKsMjos9zFiqJiFNGDNp7KaUVakIlFncmUqrMA/XxKOY45DPFuUEDBzvkLY9OhoeH2aOO/FWkdrsHWwql+A4pTdSB8ezypjj91JwvKcUaZqgIZEo18w1qnM1tpMb8ZF33o5nPOWZ6O/skS/pz5RLl5g1JJuoWUbGdYjlR4ua1Dxv2kb1+H63j/l2gXpe4fv+9W245REPxHJOz6pa0jVNVSOPYhRFgbIh+Sqgp5azBfLVyCC3+l85oLNqjfxgTHPGv9wJPMxjiZfENC+kNCDlR7ymlaysahQC4zRttDxUZp0Tje1LvQLDIGXgh/gLTNPRC/N/7BGW19qTDHy28zj4B+lMiCijQvB/NMXkxDWb6KrbNe3sLyD4myQl01knc5wedATH+Xdsehtz2P2zPE8JnyX80e6Kgf3h+gegWXK+AdAXm9wnOiSz4vdABCv3KvLmw0BUdlkPgvC8P6HhFWqHgDoNdSELfn8ygXWxwlk/6Pt5I4xTHY5p8QpI5k64kbFqBhKM159Tn7CpV9Ol3v/L8nh9Nzv3D4D3vih4H9Qs7AmOkzWeIa64zlmfJ2bmKnJo+DSUVGlQzQiOd2rySULI773NCBwk/l2W73ECLxLAccNszNOMEz2DOal1RrR31tsNabajirFqV+9baAvM+gAAIABJREFUv6V4Rn7L7M1RFO1fqY9+xVEN6Y6fwf+1etfiVWla3LSXloi2IiyjMwaOT82/rtS3vJvX9WGGUUfcHxsujIET48IfSvfhyoX/sK4ONcQ0WkNgijpDCzKKvXMuvSUGzAAD247Q6weTzulnDTrAcq+17iEDC8FlG2vnGEppnbjQgZww0yfNWw/mYfTDA7oDmfzyBNo1Zjy4Htum5wEWxuTUUaShQ8Uub+j0Zm6ASNbwYaDDv4zkXWi0YaYTURbrUKNZY0ItOUliMEnyCHEB5nhEtnVSKWkiw2pVNDLnoMZyaFxc7eVDo8Nidx05u4FdawC/7lmENkoEjvP6icOp5WGHOjuDFQ1X80ZmXItmDwUNThoDvDsyxhJK00SYY478bIZ3v/XdeMMPvgHb57ax2W2jWla4Yf0GNPu1mXKEDo6uoQFXkq6JLfmhyaUOVW9T8n4Ytd3Acf5321j3Lo8z/xydkiImN2QptP7aLPjNUJW/ErRdj4YaYn2EhjqABAqiBPMkBWqyC6QC7tC9g+NMtmjA062wdcMa9nbPYLaZ4476DlRbDf7ek78Yn/4Fj0J9qpcZ1bLflcYxjWlZcJJNtCprpPlcwTSjszWd293tuFESaU6wugcu3yCdZTYPZEg5dtOv9tq5PO9ne07fr/FxLfod0BCWjGJ17QMzIez5cJjbZtX1SBpUeaXGU1XU0qFWI0v730FZzwJHN3OT+VLT78jMlctzFa7VVwnMFUtup2N5gcgSjH58CkCGOjS5Yew141UB5cO4oQE0GnMdzi0Hj8PBNZJVrLPifx/0xFms0hCKTCuyTTW5xL3CX8zgeAZxdTCWqegx+atwRsow2iakJ4l5mJgKnh2hIR48ACYfbriZ05b5XY9Onnhj/VpdfNc/91Q0TlWuJenj+DInbta6NaS7Kd78srfgZ1/6Rmy0GwJ6ijiXUSAZ3IqD3Eje4A9SdqYTGslUfXO+LY+VcrGy3pTck4FVtEK9XuMpz/pafOYXfRYW6VLFUd1VWFsv0NYlspbgOEdLyToupIdOshffR03fwMxiFAneIi4rEMDxcVTZgMbAuJsWmteXxCVegWHCxa/pkHBP82wvjpk7izlO3fhMzDEBCArPd88cv9bA8V969S/j53/kzTLkvFhZFeahU+a48STNkJPguAgQSYIKK8molFsN3vDWN2C5sS/poClQNxCYQnGlA3YsdQ8XvYeJURe7CobmNpu9Do6TOb7erOMPf/mP8bzveP5VkVVh+h9kVR79BY/Ct//Qt5uPQcKcOBj2GQDRJSSTkPHJui3oBV/sNz74OFu6djWnbNXAHCconjpTUsAnwaAJAzSQVAwcN7kUgoEkDbUFJaYY3wwcT/ha/QydmKrWShEgfnfg+DpQSlLq3guOU56S9RQbmm1TYz1dR7pMsFWdwgue+QL87i+8DUVTYGu2hWpVmQ5z3AtQr6sGMTIHD49yDw2HMLrUCm1eo5yVeOJX/QN8+dd/BcpZhWWyslywqyWflCeUUAWausV8NtPfB+LCQRKN5Z1TcDZ4ZAQmud1Ht5InU5mA7MolITuXBXTJEOIFAsNd1s8IgwQSOU1jwNql/gzg+PSJ02BwAWhh/OfANA9ZPFnO7pfliLrlpiZ5KrCfAHkZIao4aWZEypgTngMw6hgMJ3lT+65dYXuCBCZ9TzUDGr2XYp5MHMNPqAVGwmkgxNl2Ceazdj5x39Eu0vTgrZZQ3SiJFaszVN8xx2D97HsuSF8MMnQTWZdAEbdJvEhrRf5EJKTJU6+RjGzQGKc0rmFPVldY3Wk4WogvY7PFpSC9bjWG+smSsw5Pjg2KKkFiRaxDxttEUx7MAaIVibNWo5NVztsqZUoBEp2aeSt561FahRI2tbwBRC/SfSc4bjXVSSonXOp+O/z4cedQ057fzYzGjbjhxGMG+hLY6LbQ7nZar6tu+d9OPWT7ydjGH0a8MFfo52qA4xl28Mj2PfUbuhaftCRbdrPDKjuHnsW3RJeu+Me44OXzY90Pd2O2DYt96AaOhf/BF5FgmUZclRcRqCYbN+YiJkE6MdMdjlFWuXWMaJImMGl8JQY65XAO5IUDn38neMpVWUJHjaM3/Ds+vMtbJYpMggSOD4h+ZMz0yWUdu4lTXrh9fktuQuAJVD6XSVHiYu7jaW2/S9uWpn/6Ll4dhtcQcOnLnkkjC8aE19aBd4LjeSRt66bqkDWFSUF05B27OSifd0BznCDgCI5TVmWZU53tZMFxacyfXUdRZUhEgzdwlgoWNBJSwt8myHhQ+BZuyeqi6QxHZooGfVFh2S0FZCdJhiKaywCT425tWyOfp+h2e8zPrOP9v/NBvOHZP4MbyxtxQ7yNcq9ETudMGXJIxEy62sY/YNJEJUjT9pOZq8aZDLzi9e5Y3IvFbc+hGRj/XDY0PrLOMAt6sZODijgd4lWt2KvyMXa2swtKTXOT2Gm6Fk1fI9UhNzIMApil37lM4h7LboF2o8aH2w/jkz/nYfjir/1SrD90E/Vmi71+HxH1x1d7yIoUMbXR6xLpjM711kKV0XdP7X/uA9MWND9crk927jnua/uODAmy6kt258n4C+NtVyjAXtGXdZMWMTDo+k6zD8YbMtRs7t7HAglsjuwOgdnBkIgM4YwNp1LAOEFyOmUzDlpjjM7aNoJnxYzpkLNRpbt+DEOcK3ptroEXn556A7PGDweB3JJoSHzcMfUYbPHXdAsjNaKUrCpRtux1eC2f+hhAeIX2AKb5u8vM1QBwaf5R2olsFTZIyOhwUPwAa5vPCXqfinND1jxo/B8+0kcAP2iEBzByQh33oiL0+RzWH+7kXQHhRwU3roElcv0jXsErYJ4tobjy+MYzXDSeVmcGznS4efOBeNJj/zFwJsKsX0fXMH/pVNSuMT7qDHT5FJ/c0h7UZBawsb6Bs3s7SCWil4pNFtH7o2mknXu2vxO7a3t46b97GU5/0s1YRksUmzl2988iSynZFx8Ax0kPbylXTT3G6djyXYLjlH4Jhpw22WWs5eOBY1fw1lwbL31R4Lg14Eksodaozmdqjle5pefXODiuyTzlnZycjCSr8paX/QJ+6QW/iI1q7SLA8SBqa5O1QVYlgOOE3pgXM70WezUuscyWmD9oHa94yyuxO9u5V4HjZI6zgfaOX/xD/NgzX3TVwHFOoVBz/FOf8HA888eeif10T+DaiYLjreWkJGtIUuBiwHH6mOStiBpijrNOWbVImN9Sc/wQOK5AcVfM8WsAHCcRqWoqxPMU1apGXqW4MTqNd7z57fixZzwfxWqG0xs34qO7d6DIZzLtZOEjOc0oQ3us5IfnFmvzGtmcWMI+slsK/NArno+NB5/Gx1Z3IipAJBcdDUApp9JCJotZl2GWFWrihomkMUecUrFDnhnmkS3/E2VHMqONCDx8vRAjRe7h9CvB5DBdo8FImrybxw09skguK+dLaZAf9ecAQH5hmvgIPntiOr3kwUPHppLtV5jGsj/JcUIkI4LhSRUjpppAbbK0rK9Yug+YEMlfkl01OZUm79ygkwQV4gvEi4gxOZicBiETO9eD4ewBRvVEC1tNLJ+eNvKTm6UOso0+mcq8gnuNUius/6RLbpJJmlp1I1C9j25pAN7tUBua75roMFKnyXY2aDmhnFFHm5Ppjrm5ugBzJn0uaar76wwVxqipPsiQnSQ56wLn/zA1GCZdeT81aEtwnCRZguOUXLbpGq4J3tIkMOx579MGC+JbRQPM6Z1GAmQAx+16mWTstQ2Oh/THSCkmkcQYILkhb7iyoUt8kBJT/T4nHdJllze/sP6X1r8lWo8+dNR9fzHPuyqodL/s/1L/7vYl5V71ed08QV1UqNeXKKOlALVhDEWf+MJ9/fO5ZeFxRxfkPwyOK6yNk5GO3QVZgcOX0xghEasUdnEysrirQa6CcgbcDBkPdTJFCKAyQSCo7KMDNpVkoKbRri28EncYPocjBD6cbt0jZxkSqJIGV8puMtGsMVCZ+acBmPa9JqBJAGAUfEybNhg6TGnYAsdcy5gBnZ9fQLkMG1idjVpveslBLsYYU+paEkhNIuuMs3GQRxoxppZ1U3Jsjsxxgm+tuqG2Kchk986zXpfgnsmqVLNa4yYlXY0lq+JjSRez2i/0GL8WAXgxvTQPOmEUbNJBDq7bvPdFNUN6psCM2no6McxhWVYVlCEhsCWH6BDEOPJX2tjgvEc3b7HsdpFt5AKkNVRa08SiR5EliNMeFZaYp3MkOznWd7bwrl99D372BT+DG9ptxPscS5vpPQSOExhn0iSFxsJLDdtR0pXuzHCTwDbtbfg4rg6qO5qYSiLGOb0BuB4TFvBta0xtHfOWhxrsb3tVz6MpEwFx2Yx2Bs6nrn9OxoFLRYyAme08Aa3zBnc2H8P2Q0/h8570+Xjo3/7LaNd67Gb7qGjA4hMNdHRvGoK2EmBG1bdIEjOaZNc1pUmMvltgjwdJFdtv1pQy86KGo5dijnMc/q7291EX1MU/bwAtbdUfSsICe/jCMdHyuF4FI1k3eVkgW+VIV7mNJ4akpWdn3kdffOTPkihON1iSIkOUWasRrioNBpwBHDdtVJmr8O4KHKdpCo1QrdN7n2WOT5IjTwkPjNcFkPf8CR4/5lwHkM8Vc9vjupilArBcP5z3s7bE2hJqa1YY7cfGVG2u0wqIEMvP6zkHyaRgjkPfAx9zlBM9E20WQpRPySyhteLHGyvOFLPvFaxobL2bjqitYjtxxpNkKEC0DEeZHltPJtNz8Pr5zjhQ+N11qnKs+vDit+v1R36cXYHR6MmY1GG8UzEu7pC3CU7Vm3j/O96L7/ua2xCdS9GT4RZnGnGmn8ZGW6gVzRPUDATJ9OnReV7Hybaua5HFGdIkR1VLORQxp7XU3WV8brHcqlBuVHjZz7wM6w9Yx5n2LOJ1ggFkjseYL2dI9ylPMBMhgc0rY44b8244PNT8bcQ+l8E3NcedPTmVADG96wCOX7s76GBUOPinMFo+PVunsSvk+2OsGuNcOHWHqVHPbw36MNaWXfTQdLb8YoyKfp67fABzXE4cZNIcNxN7Y4oF1m2YUA1VL6VqO1TUtJ+TTMGmdaU8jj88A+4VmuMuW0fNZJoqZs0cb37Jm/EfXvxLWK/pIUMAhEALmwGBSmGG9MZetMxTRAaX2go1Ds8RWrTP8jV0tZ2PJJeUxQqnH34TXvT6F+Jcfk66+nYkjffj8D2d1pUXrjCPFtwMHKLHDpkXNFYDNpp1vOMt/1Xg+HqzIVmkhCAg6T80C1J25iDV0d52fJZqJaDqK+yle3j45z4M3/PjzxJQTk1fJfRhn0vT2MhYlg9bzDvq7p8Ci9MTX0zwkLuUiWpfNoas9g3TEp4rSIrFDTkZDcmQJSBYkE5JHfse7aoxwgcKGXKGdRI8nS4kq1Jnlfycqqxygz/XtPXJOstZx5r46LdhxCHsNQ5fzQPw6yF0o0ff0HiUMln0DEolyUMV3W984r9A+5Eaa+1MjVg6ZbY6V1hfsUZssJGsS7JLaWDQmzZocohFI1jrcqtCpa0xquBD/CVrsd9+DPvpDn741c/DQ/7qJ8toOt5IUbel5fw9fagitE0vc9y1ZA2r/SUiwQAOCA+19EG0JuA7VqtbjBQoymo5qhUHJNtKvETs2hhwhjXJZSmlSTh/rOEsl7HlRDSZ7hsr7f8AzgZiyJBPHphusDUX8lSHVkYZNM9CL3gbw4EwrdMmZErjHh0Ex4XnuNG9cAB9R+byESjyToA0b+faF0RQlcKTFChtb2OKk6hEsgplVii/SkIpzTtZ7/M7hwlou8Y+ETYBpw+sa0khuqdd0FtUs8nUDEyezdaO5GHEGCdznCA5NydRWVfydclGSrYK93G5FT8m/WCzixbAcfoVERgnjhM04zX17iivVpGbjAcJ4hFstutrhqNWZfDHjHWvCox5foiQSoDLCYt9P07x2jSYYRXEwFTLcYKgSTkuKPkgyuNyvXMLiI+hbcl72qDM6JtATzrKz/J+85d953ENHz1q3RueGfafznVdAJIIfKLOJyOIKRV9jnzXsNSmxe3xVvKj80/KXxJF0c6V/B5XZVX11B3/KP7h6oN7z+26+DQ2YpxN70S04ZthKJrNsOOgiMlBl17rSo2PmQbDo1yoA0fbFASdnHN3dZGsOxbG1lgUmaZ0GFmx8TICysb601glZUk0tsIOnXUVQ5wK7G3DrmxkJvzY+WNsbkvY7dhTUaZNaLNmA9PPNbnYZZXjs0umHDRrsO6zkiQjA7vZpjGqCDx2JY0M6WDM4E6Q0e6RgWUEOA0K0d8Pp4pBzWHMiu9fF7U0pjgOJaOKkmNUFnhNcymwxhkkQnrcSzaFJlZsAFAPuaJefUb3cQnz2+c+r6FykStBH5CHDL+6uYRaQ8D0w8R3J2gU0eTFDFTTLkfOQ7yMNf5GgJx6kjLUGA5e0yvVy/O7ObOhjiozn5h16GfsENaoqFnKk3UYdbYiQcE/oulJifV8TYEh3kmwjg28+zfejdf95OsQfyzGDcvTmNWjcabG1KSvHcvEj/ImHIez0p3fiWZhVkwTyrd38gbK0Ptmo8UOTG0DP7j5Jy+ptRb5bDLUbajc2Om6cz4iJb0tjv8R1GYexgRPJ5ol9DvpGew+4E589pc9Dn/r8/8W0vvnKPsKVc573GC/XSLOmMC7xpofnAfvbtgPo2a93YcAsFmsODia5YdaWDlHrQ4ucpnd1cNCEqtrPO3u+xMsfR0NfaXzrutnBTVvIncdC+3Zco50QaZOrjEt3SiGFo6tKas085ag48dYxXHkSsklE192GCxvDuvB4s00Jk8bbC4JZbSBY16Ja/PpxqS3ZFvhOiSVg/nN+L0Uz4MhszcRVeT5JBHjtN1TFrRs9th5QZ21nCPFNLXiyFkAxUOs1euGlHRsrtqacj1OvZ8XMNqBbF6yEK1RrVGfk9NIkTdY7TyxtmoA7P17HNDVu+t7NmynQ3XjhVbJCGBNXu9uRuAPv+sJbd1rc8Fe/9QXuAJ2NhBkDkPmBGhWaa9z/XS1hT/6xT/Ajz3tBTid3IRlxQK9R1HE6KrKxmInfLGwy+yNprMOU5DEzZTciIt7bz+h4WKDx/yNR+HpL/hO7Mx2UW2VWCS7yLsE23tbWFtto76zR5bFwKwXcME2uHRLHQTTu2Y0cmpQ55Shq0dwnH4moXAmK97ZOUeHx052QR2AnQ7UDWOjbjQKG0jawzUY8lfP+8fmgRmVK6U2ewVjOjK7IT4Qs7Fsf8NgbUp1NkVp3kIj2YTydZTKCyP1bGDnVSFzTvVPKC3JvGnI/3wMnVIZJICQSETd5MJ0d8Nn1Jg7QVnPO0/iTjCbSJCp+dNFFbIuxaxcw2ue91r85mt/EzPp4wcZnwB+W5OdRs+a7QsSQ8whhb0YeGvyGwYhi3BBEI9G7+hxLjqHB/zVm/GDr/pBrNaWauiH/Rauwz2dC4chzaNePzv7eY5HyJIUZVlio9nAH735j/DC73oxZu26ALGEU418HA0FtGIsJz+OLJhWn6ZBKWfYaurvwX/jE/Hsl96G/bU9NVZ6kj+G+sgm/5Q3urxJgPOO9P09Zx2bjCHXtv0iKQGaLS4i5KsCWV+MHigp0PatVpDuhW6YMWYpO8mHxnmMrmkR1T0yTiuLiGF1mqAUz280tOsDCMzH2AysZ5XIR9xDImUdylGHOvhYuethrGKcurbrGXJjl54bWBK+Okmm4sQrd1G0hqScYX21hlf+8Cvx66//VWx2a6A+tfYLpVUFxoVJFO68RCQn7pkSNSrhD1YziIFpJYDWGslpJMlQ/oc1WxbNUNVkbfcoowWq2QKPevwj8B0/+p0o1yqs0pICRoM3kVdTk+8UVtW0LXIXCeKBfO5wFjjWEWGiSbK0IpUl6Fa9xU7iD07KE7O0pfxwjXrLYmRPQgenHTm97yDiIBfizYBAxiBmEaRYOJUVmKoH98CFa5oxrlj8nzbkRszD7n1oCkz3x1gj0EskQ79L1nxuMmu8eT4JquOFIDmpawLIOeFLmRUjCbI5rzb74B1lNUC4TwPr+gCJJYDjJt/ibanziC5WL9t3UNw11qP3grmmAxuaDGhbj2P9OmlFU/03SwepOvPQMwUBA/dDd8Gv9QXrhel9GBvOAwh/rP17pKg3PsnB8WntF9ZSUKEQtiPUxTC0jPuSkwNlJLITJ77V+NGh53kL44LIpIaZUWO/5i8SHHlmdJQXcfLpMZqbx/z2x3665U22dio2fvRnk1MKa0pp6l6L+5Xb6PY6VHnyzvVPnP1z3Ij/GlEm4Ar+XBVUo+/7OXbwmav37b0UdfJJXd5jb20f3ZoxbVXST3QQRx2zaUdy7EaGja8O4IFxjit4pS7w0iHoWXfM0rgRfPakaeiim1635EioG1tzlIL/PTIvw2j84e9kQdeCra7NEBAsmIZNJdYgwVyyrLnBiJJRM1bM6xAQp07GtmmDcZvuAZMp/tKhYaP74yFjwXe8P9bhVBAdNJ3tng1KWGSoUtN4VooNQMI5u8H5Yi7wR+Axz9QwH6ZDwcFxdsl5ZvTsopFtTXC8VdJn7TYG6WmCcon3f2B78xoZ01uHsooifShnytJsmu8VI+sKzJoCs1WCZGVO7LxWIwPDPo91EV0bh99BjvJkjddi6fZkj2eNDng+18B0Z7AFsJSsI3Yemw7tssHp4ka0d7Ya22zOtvi3L/m3eOevvBPb7SmAOmZ9hhvWTunSVIsSuTruoyEKWQecMPA+i4GmgfkkBgwDLouXw5pl3rjw0TEFNYLn5MMYlmejcal1AdrWC5w0xrJaIi4SnKv20M+AeD3FR3dvx2x7hoc//mH47K/6TBS3ZphtrGHZrLDsVoiKBCgiVJ25WAeGlpaGewmGMbQwYXGJd/5e8fAxfgT2mLM7JvfkADgtc0NjCDNG6A4Q2CkJjq8hXRY6cIV/Cui2JFDvo5FWQwGEpRAAypdYbS7FrhFzQF0cLzMDEH+vuFL3zg/Bfds4OG5Jb4j5Qcs+gCphcifklwGOsripeOqEKiahcrKvTZYrXhl7nL+mBd7QzlJjLaTF4xSNMXMcaNEYnjFNJBnhm4iNutV8JY077efglOUMjmDGe++8+tc/1fUrcMwrMEwJEhy3CSRywLmnFxkNwzJs7M/xtp/5bbz2tp/CWr2BqjOmVM4Hs+l8AHy69M8zn+XYXVEfOBLRYFGfw9d+29fgC77+7+Ej0UdRb64UI7Z2NjDf30C8sPdn4dSiQhy5VMvUuyeFSbfRZHleqQlKNhLzQAKqZuAbZFWsqX8t/ljx4qDAxAgt5AQDMK7c3H4Cu0uxVN4wTi4J9bnnRLo6k1zDICpjjJvRt0tZmQX5BcDx8NnIiXbjsjJCusxArxpKFJLYIe1V5rnBiMp4EmIEkhHZzpn7msEqPYf4E+of+8N0nP3q3kXmJmzOyOQ9rqWju7Zcxyt/4FX47Z/9HcyquZGAfFKN14kcan4LM5cjOG4Ney5qyeHp791YWuC4yVRyitH4M5HMJj/xsx+I73kJGdJ7qEiUOYmfUH7JeJ7geIZVVWKz3cQfvekP8OJn/QSyds3YovLE4TF/OcFxk5mgZjXlLjhpeetjPgHf/4rvx976OZQpGfWWXwTYzMhbxlL1dtHRd3/Q/lXuY3Ws5ShWV5Ckk7M+2ic4PlPt5FY21B2Vh9E49cLg26HmNCOnOosIcZagawmOdwLH2cCU4zBFBlxGlNhg3zJW29R0AMfpUyRwPLEaYvxsPlFN0oiThY5O7jgIjg9T3cMVDf/uTG2v2wc2tya7a+Xm834T6/UW3v5L/wU/+f0/AdzZYkYWJcEjNQ0M+Ba9KWAKiMG5Je6RJSh1SADdiFmUBCOsmccJqm6pLl/ds9akB1WPFDPMi3Xs1+dQJUvMHpDjR1/5PKw9aC7d8VWyRDpPUdfUqOd7jt5CgXntHcMj77zD4FNYk/b9DCBHzclYk1nhL02ty3DD4mQ5X1lNzWkDynY4cCzoV7GF69LZ6s48Dmbz/OBTcNxuT2BI3hM0FsDxqSzgpIUQ7rU3ba0B5PiJ/zdz+mTf/Oh4c9WwUoPVagmL7/wn+15iXRedNb51no9yy4enZgJWFNZ9+DYGTAcsyGDbu1v/o2b8+bdZDUHeG58qloeVEwSHxoFKkkCqGt9qkOA5SXD7yCt3em+4zthIH+s/4YFqXFo8MkqiYUspZWpoOlsBaZUgryh/mw0ecdbdoGQfCYW1miIkhZZzA5DZVGZdRi8GYi42KXxt/hgBwb4DvxvpjZQfklpF6MVwMn4BnN6dc9KirebJL88emP+L6Mbo/Vf6W99TBLgs799ztmQXn9J+qH5Fvd8+VgfgVo2msJGnsHymB1h442FkZ8IPvneB456iHxhnD6CjGxnIrdbH4TkWVpuuk0ByypXw4HFV5wHo0Ak0iH0YABLAi2F8aRJsPACJSTL5LDJUDEjigW00vfUBdB/IMPZ5Bn3asSd5eEGo+8ikz00l2J2WxIeP2PMzmxxKqc6nwPGG4PgMSWl60HcLjovF2KBi55RyKmIDXEZw/ABznEx2B8dVJDk4HjMJ5Rdi0pGjqHMUZYJ4aaarJmsy6SmHA9GXgV5JWlKVNLcIjkvnOWZCY8XpkHz42KHYm0qeGmtINBHW43XM6gLUOheN4Hbgz37r3fj1N/067nj3R3E6uQHNnTU2sI6bZjdhsVrKwIBhp45MhoYdSd4f4qBMnwrMBO4rJBN8DaDa4Itt/HAWMFp/YcTAVcc5uknDTx2UyPU/FUzo9X58zn60j267w066g721PTzqcx+Jx3/x43HDQ04DG2YmJC1wARPsinOkzIwzDzabfPLokEHutXo43BM4HhjvU4b5kHQQzFZRFiMrU2TLGbKSI4k+Ys/feA1Bdo5JdDgp2Yx9s1bjydX6Ss2mKTB6WYL+feBFDCixDDaM39uYeBiRN3aTWNsDe3tkNQpRJZM3AAAgAElEQVQE8DgbmDJWBJing5qn8mMYi06bLgpNFNuZdh5O5IGG48diSGDK8L7T9Z4xmJMFKiR87Pi8uO7Nkevr4j6wkO/DXzEwP6244TnM/dJjmRqLZb5f4G1v/G389HN+StM5lEWgCXXfVUiYWx0THOf5TvPt/bZEsUZN2Rp78S6e/crn4JbPuAXVJg08O2ws1pHtMfdYU/Oz7kub9lEEMZ3G4GfOKRTmWk1RizkeTDnFMg3McTGcT5ZccvxlF6ZmJhqoE3Nok8mx5nrg1Q1EE2cTKn6He688zIKnSHzK+yzGD4xt5brWSBERwCcnwxRpiMfhTFB85xqpbZSajWw2PTlBKnCcjClJr5gsi/IwgeO8bxX69RY15eVSA/mG7+HNjRMFx70poOscN8jbDGuLNfzE9/4kfv/N7xA4zkI3fC/JbSg3JDh+mDl+YXCcXLmUzPs4Rt0YEafeqPHwz38YvvWHn4bddFcA6In8TMBxAreUGCjrSuD4f33jO/Cvv/clSJv5FQfHNYnZRQLHb/rU03jea5+H/Y3dCTju90D74TKD48G43cFxp4OaUM4BcLxA1s0uARyPBY73vOcExxub7rkYcJz7pr7K4LjP7A1ko3E9uiBlAAFdgsShVQFD83gN3R0dZosZvvupz8L7/tt7ZcI5T9Y8Zw9sW88ruY/UmFJVpgk/MkrNTDoAcYHowhqgRponWFQLzGdzXcOeGEQW40xzViTFJ339V+BLv+pLsNOfQbfeokoqLOoFiqyYNP8M7A9g5+XYcxcCyNVE00Q5AUXz2LFfTiyktCsT2AQo46XpV+c88ygHSK8cXg+TNzXZXs/Rg+if15V2FpjB66UB4wEcdTLkoQthQLi1nsL/h4eMMIFJSGSUSau4zgUSCCciFqCmCAFQ4Tf8Tj49TwyFADkbSPylsYnwOfw8PKTEMJW9tDPE6mr7dHcPjodp5cN1gMhUXIPEswaAewTBdQkuIOUbenKG+QXm+OVYSSfwGucxxwNxNDTRLY/Qme0YoMBxTkIEcJwKCn2GzgmhGgSgf0dP7xs2ChsHxzvUeWfnJkkObAiG3OQEvvrleEt+VYHgETEgi11cT+Mkh+FO2SrBfId7I7uz3y5emN4cvzg6FZ25HJ/h7l7jqoDj2gOL/oG4E9++/9HFN/ZRl7TrJs6vpM9nogbpg0nXbDKkMQyHjZ3AiRzBlb5SF3j9IdF2s4gwIj4eHqOpAIFIjUK6XInkRAiQExwnSO6s7dEd2GU5DlyLoEsUOnSB9RJsuwMPOHACqIUXCiI/IAbg1rQA7I/WZdV9UnHgPAMCLgckvf3xk864OvaBIc1OGcFeSZGYIShNPJi8csxN4Dg3NlmR+zOZlSY9fx1kjlNv3HoDZBaYaceUOR7AcQX4QT/tCAtAxeIoq2IGjgbWm6yKse8NqDZ2RFrnyOsUGVnjNJppMjM19VMvgGRDN5YEM0oYcEwmb9DNbDSKBzoBa2NG8+lT5jiLDUtko7THcrnE9uY2VjtLsY62sy2szpTY2tgGqLq0B/z+z78Nv/Gm30C6k+KG6AZEuxHm8Tq6ytW5VMCEQ5EMckrWMLuQmMzAHrNwZCOtanBwPcQ2wqO92HdaUyai0qBLGzPK7GPUZYO+jZCnhVDBsitlLlYWJfrTHT7tcz8Nn/Nln435g9dwDmewfuM69nYXxjzPEiR5ouBftdTW7JDkqbmkh1wkcF0OoeHXNjhuey1oRYfuu31la5CpeJdhypiU8fqqE10lSEsafeVq1ARWBRdxkEcZ7qekdLhHG41r1fMa1YyGNidUXB5hy967nhImLGxveASdFEiWwAQoW5+dYVHMQ4/RzgIiO0ayW6WZtijpJOvOBTVHeQBLgO35GgFwwMsTciXGxsIyKa1WGuIsGNqM4Di1C7kGTG6LCZhe+9CkwF0lxfeu63/901y/Ase7AgaO+8QHoWaebxFQ6khPsV6t489+6534ga+5DdvNNtDmSOMMdbtCGlOObhQtOMonSZIIddeg6hvkc45W9bh99TE86DG34sd++gXYLc4JCJ+3lM3KUJRrGmWmOVeSJWhrGqCPU0E6LhwcJ3Ocnh6S5WBxzUlCYb8GUnrVds0yxwMoYPnTITMyh8SnzXV73ESPlw0Fz3VpZG6TP5bjskFCU2/K347SWQT8KHllvxjvA6Nz4AS6iZhNElGij1rLnAQyEy7qjmsSiAbXTF/5gpJH86a2m4ZLUiUjOE6mYO0MWBs9VniX1qrJZp0Ud0yNFs99yW6k3OBmuYnn/cvn449++b9jXtEPx3NJv/YXC47LcNqZ42TICRzXRGKM1WyJv/YP/yqe+j1fg/18cXL5yyFwnPk0PyPB8be//m146XNejqSeXVFwXPWJic8LHN946Br+9c/9OPYuCI4bC9WY46H0H2Z8Lz18ufavNdzCBHTIhQwcz6oMsZjjBMfJHLe64q6Y45wcMOZ4Ysxxyap0SBvuOct3JKviNeJh5jinfhTv5iXaGQ3Gq8HsbTqRrtwn7P5jsVfDNPWY/4Ura202/77DLHVgLlgG1/WUzSuwXa7jTS/5WbzpJW/CZr+FDDPUK9aeTm7TPbP3GKZffJJlzN2cxGT0DIuAjGFs5GYJynqFPM3RNi2yJMduu4dmq8dffsxfxm3P/z4s0wWKmzOca3ZQx5Xqr66lXrLjFncBgl76wrnrZwRiSfDcCaQRGRlWRNEiEcUYV9mcbmA+DMxvqUjQFT2alEx7Z9mGESAxyRlnjek7CpvxOJzAYJe6Fs5j7k6r0YCQhwh9UHaGMjGzZk1+Qh2l15nzkxTjBpg6Q/RJzSuA074NMRQSzalDzukLycgwjzf5qaFIHLTDQ/ydSH1Npo2C9Mtd3ZFpXRAA8vB7kLcZ9pUdsEO97lCT/5199/Hq2H/Z+1/OFXQVX2viORWUAgzYdUa3g+f29TgJYYaTBMipbpURR1qaWWunOs+JpjrjCYK3Ig7WRSvFhKYwchP9bGwdB/38q/idL+NbhXpZSJsCuU1wBjwkGJknywj5Ptdx+uezB6x/Ez4BvxZF0fIyfpQLvtTVA8fP9KcQ4e/uvXfx41GPm5ukBObU0jH2rKO0AwAePu103wwdwEkAO67m+HEusAVyO7DGUU77xGOHLHSTvMPGqXY3n+FIDzXFDAhxZ2DKrri+lr5vmJwJ550He+sSG0QpOQz/Iqb87aOMDKzsMKlwGKbd7JEBnTHpyQv/hMcE7s1grOjHvkzjJug5QWAfbTLt8x5pmooFU+algFTeL7pR5w6Op32uJGoqq0Jw3Bg9VxYcNxDJLrC9UzC0CIenseDFEOXW7FPpO4upu6JBKQMb5Q68UDncDfXrp84+i9Oi06ifWONprRFS6WnrIHNw3DvzAuSZ+BLUol6hlDIsQZhFc8yiGVa7S6wXBd14kFQZqjta/K/ffSf+8y/+Lj76Jx/F6egGzBsyilMryHSqWkEf9lUit1BWaeqM+NoxKRYxqEK33UswyrzI/JVrjolXTXSdDCoOeVeSiSHw2mqsu8Ynf8an4OF//VPxaY/7dOAWykfQbIKjcA1W1FOfbaCuGmkmqtlBRqtD79bUPoyED1HAl/G1erJaYmCNvsnomTNLwrdy0vEwWTK9HNQvM4Mvsit4j61JYavXncDlCTLKpdRkEmdsTLZiFXJ6h2z9w+DoceLifeW5lthZ8mmN0bFpOY45jgwJu99239WwCKY3TIi5R8kqrNnkGHXmza/GpLKCluIwUTAZdR0TTDfc0eNbFaE012TTUr8zoSZ45uwRDYMEyumhG3d3I5X3lXt8/Xt+fF+BkdBnY7EESY3JYuA4p7S6Dzf4mr/z/2Kr2kRc5TIkYwOXYFgwkDrqVUrSBFVTmdxZBCzaEvPtOT68+BC+5dnfjMd/2WcZSMqtzHzjnDHocp77NKtrCY4728YPDTGeU5NV6eaNGMgkoZDlHMbNw1TgSQGrR71e0+cZ8G35mUgnbjKopuEFzlT+3RQcNy1xk5hQVqFOiZMZZIpG8DtMB1kcZ7oUAHL+2YDzkTFnNUFgPbqhcmXAOO+bvHtkqOznvmiL41Qoz3uN/afW1MC6aSjTF4ISGgRCh4mzgbxyMjnQFBznxAONs07Vp3DbNzwHf/KbfyrmuA2Res42YY5LL1ekHCNnCAifyKpIimRwxDHGuBLOCDiXnMMTvvpz8RXf9hWafqPEwIn8ODjOtJXaz1xblAqh5vjbXvs7ePkPvOqqgOOMQTFZ62mF+BbgFf/+Fdhb35MZb6gFTUYogON23X3VHx2buiA4HopLguPU1A2yKgVyguPcVHcLjnN6lOB4jIR6xWKOt2KO8/WMDBUbaEzvwkOyKpIjmjDHG5rYOvkrMGht0uHKgOODHIaHk2CJNYFHB4cKni/ocvlWffAP3o0f+fbnov6LFebdOvJsAyXrItXCNtEkNr58gIwYwVgeNI0FvGkW2GKf1VBGsqI8JX0PsixD09RYtQtsz7dwrt9Dc3/gW5/z7fiMxz0adVpit9sxneOkA8+mrmrNHN4nQBxidRnZcQ0def8N2Oiovh9itJqLrj3OuBmpW2ngOPESSUqywdmb7EzL8rYAGk4zk/yT1GhYj5Jk5lJCwUdCa0nNTZPJupgfOyPGRw5TWEoiRqPPsQ4YJWyn3he2+czTZM7JEsqqcHqb383Z8fSqS0XUC7Kols8LHM16AeRkypvZtuEIAROyTxiImfqUEync86V/jyorNNav0wbbJKMI4PEUMJ8smfHcvZirfy98zF2C4+O0md0TCwbyIOR6lpwyvcISpAur2yl3xIkOciV9eUiOoY0rVFmDcmaSOrznaqirZptgjffCy3OPHynUyxbZ/PrY3mBc4/UqygzRopdWew+8Y+3BW0/BKfz3KDoMDN3ju13yAy4uKlzyy57/hL7vCyzx6PL99UvaVfPorq80HlKvm35S+Ans6wOvMJgKjEYBlsvahTyZ1NAgqINhwXZ+KLgs//DjZEC7PHBFDOzUlbUxC2l867/N0ZaBk8zyYNbp8c66b2GMZthFIRyOqPzQEQxjv3cHjmvzhg94qJM3rBC/zoNxoBcaARx3xpJMoASQOzieJQLfqJ/Izqe2QZWh2JuL7Srm+F2A4zz0zOqy0WFHzXEGCR4IPSo3ajSLyKP82P0zNk7PQte1D0PXfaTE89UZ2FIZzKSrGFllRqtRb4amYYxquCWhsUAGkjTDWhlxclqCZpPsCNpY1AiOWxMjJLEmh8DOeDbLsLe3i/W1dRTJDLt37mKeUjNuhqZZqQFCo1DIvG8m8HznT3fwh7/xB3j7f/x9xLsRsBvp3/JuDWmba5SHjJymX6nAJIBqhZ1fy44s8V7Mf4HUg+WmJV1tZyz0LE9oBWMFeN6g3+xx80Pvh0d/zqPxiL/5CKQ3FwAn+eIWuzVHYBuka4m63nVba5xMhyzflrWPgPdOr992HDkfgd2w4yar/WC2cpRFcILPCdfbUqtJPJscuuHjDYmIjwHyzxzPzvYIqGaINd42YZdLa34cG3QcV2ZHvE8tgXH+TnNb1zE7wUtxTb71NDkOAIlp+tk4nXhDDrwIjHJHc9MUJOuOMd+0FNkw5C/eU594tDBEnJyskaGYC/fZfg+HnzXwfGpHTTVjm8hzgnEm681cWMB4KJ0m+/3QHRjNeE/qdL0ml8T1D32tXQFPd0zLlexEW+8smgVelClu7G/AN3/pU3H2T+9AUc+Ro0DjgKaB40fbI3wWG8pr+RxNXUteBWmKc+Ue8s0E0Q09nv2S78UDP/WBZk7NPGkHMujNUjILa8Qpz+2DpmKaVCMwwNg+o3RSbQ1RNczMcNnA8al/zbV248amobKz4FnkjGOrD/hdx6al00Z8UoDxk74dlpOO2TzBKPtFvMI90gybdQ3y4EkTzu1gNBaCsbS4mSuSkMCzmRJ8ZI2zCSpAzEJ7AFvClB4/s+guvE/ypKnRkUCUVMof5SM0gOOTqaITunV2/jH/pn50jaI1cPzpX/1MvO/t78e8XkOk/WRXSk0Dt3S/J3Cc+uXOIaOastZqFHOcI8bZ6Aye+K1fgi/52i/BMl0KHDqRH20fjhn0AsdNtq4XOP7br/5PePWPvOaKg+MMWk3XIIkzMcdX20u8/q2vM+Z4Vho3OkjbHADHx5rpaNErsETDZPLonRWYWAQgyY6k5nixYu1xPjhunleWKzHxMUnFXuD4YVkVm1J2cPyumOMCx0vUc5uaYRw0ApIzaN080OQlfG7kyBfAanmLPyxfQtPBVmOwgZjqMOsZnhNKtis6hcVfLPD8f/Vc/Pk7/gyz/RRr0QZq5odRgdLzScaqqCOFy7yG1NaLaErJ+BULPMpB/wn7afS/VkadmuRlzslJJ8o1iDTRYSc+hyd81efjn3/rV2LR7iOaR9itd5CtZZoG3tk5h7V8zYzmNQHi92nwVvMge4zNN/IcA0AxIQ0xXrTmUxBAcsrByLOXMjttjFlnet1yr2NTmKBx0aNm/MwbVEkpPwR26Rjn5S3CdUmfMEo0Mb++BJxt+tChSenxza7OlC0+nj3TiWD7zj5ZQYITpWM4eaHpokQEODGMaUBLDGiyP8iQZ+3MY4S+ImVBw21b44O33MB8PNgMtts0AfGPydz2luewKi60DA6T2yY9uUlT+hgL6CSfGqSDh6a7TXXY3jdVB2P0G7xmuuPe8KFHBeXV9skmz+RnJzmdgPnp2OxFKKXhdEWVDZIr+csJjcRHrmXZy1H2jrkY5Ynp6WdNc8qscM/PFhmipZq/e8ksfWXxCfPnRhvRR67GbT8aqnjET9Yv+gfhLL5u7/b9b0k7zMSO2KTBIsf6x47WGGAsMIwgxHgYhQBzctC4pdMjJdsOLDtnh9R3ZJQ7B3cIFpRF6C1ID2wSAuTsKlFfi0YHBLzcuTWYOZxnvHBwUkdg64EANPks49UbwqSBLi66pcUQ3JLDTMykMTHe9mk2MS4hJqlVYfIhco9OzLiR4DC70ux8MnhkZYb53gaSFZ16eTBAGkrh0oWRuQuB4zLkTJj0XS5w3GRNCIxztGUYjnOUWwUk2f4+EkNQPC2pHcnOLoMaBXydERruheuvSw+SyWtCMw2C4xz5s8OMICU7g0x4AnPcwHFjxwTN8SiDmVqmEdrWuvjzYo6+7lFXTHwsOUg5Ws3AWhuLJeuoa8kDN8UH/tf78L/e/k6894/fh7PvO4fmbIe0ypCTte+s975lNzIweSIkcax7V1WlCnAkzuxRcgX7uwLY7/eQn8pw66fcik/7m5+Ghzz6IVj/hHX061AT4Fx5TskWCxyB6UWGsipR1iWKIpfzMnXVpJ9FuZaOXX4mcgaY8+8O7qnpHgvJ2hED0gk/bWxGjMwDi4PTMTxjlpmsiumXhmkNOl3n53KBJcI5dAhPrhbX0mSyg4RkmteYFq3JHImNNqCxJ3xBrrG3nzL/VWqJkTQC45YlmSow7xn3mhgrDeOdGTKzUSizTZ4DBARMitWOEN0+lz3xGK0EiveVez0EdP2R0il0tidDnOZExjJhIm1jl4w31uIKgJ6row8xb3r5r4Pj19hivP5xj3YFPNYSDOUWy5y5Y2yyFKhTbHabeN0PvQq/8v/9IjbqdTWX+yizfeOMvqO8ubZ5GluTui5VPFVses5y7K120BUVnvD/fC6e9LR/hnqD52KPlEAT431TSDKNeQH36iiT4EZQ1Kpkfp0zzjciojA2GMBKtvnA571bQ66jfK+r9pygoezAqwFgNpEzneScTpcaWzxcL8EjBtyGgKvnkpXJ38Ur99cK0dKmRe11DOiyuG9armJDU+6MoEdTmKzEKhZAznwxQEy8BwJ8g8yEPoUBHIzdNJhT8zoneag2KTQCIA6OG8gc8virdsUPvJGuGcEmmWXWAkK3ylP4ln/8NNz+x3dgo18XcWOkW5q/koA9sX4sVwmGnLyOwZAzgOM242RG8pIPSRLsZrt40nf/EzzhnzwBi2Qh8s2J/EzA8SLK0DVsjEPg+G+8/Nfwmue/7oprjnMhUpYp5TRLXmOnOIs3/c4bsb85Msc13XYec/xKg+OdyQiwjt2LUazIHHevJIVWNlQoD+BNEDE5JuB4nkgKZCqrInBc8O/dyKo4OF6tVehEpJqA4y41Me7X44PjhkNYY9VkmSbUKm0Pk+kaGmceM1QH05h3fx1vefVb8DM/8RpsNXNsYxN9yUenmmamI5uBt6wTDeB1AQb9fUlwPErUmMooNSJGuYRI1Who+gZr8w20ZYeqqyzW5T3OVB/DrY98EG579XPRnTJ5JxK21rbnOHPuDLI8N7arBout+epVik1IhprhUmVIDm3Uw+C4lqkDGCZVEXJnm8ZR7ttE6JseSR1jVuXKo0Vzczks+WBRUievUec0o6b0CqevbZrBwHF7DifEmLOf/3PhjskBHH0imxHOAq0GNwANMsHhOeO5w+9l6x1RozNBRoRdJtktyW+59xAJk2LIBKyJ0188axwcr9bZAHA/Cp7tMm6dNBoGo2o7eYbKMpQPx2oM2Zk1ru5QkIxX857A20voS5xIiL/bN70AOB6yKmOMh71rXm5qmrMG9DXNhlayH6mJTlNeTkawqS61iHBfsl76/4ztbIYQQyK2xnNSZtVXFcG9vLeA14cEUFXIlCscwHFifL1yqPk5U0toErx385btp+Jm/FYURYvL+0ku/GpX9dL2d/bbiPHXd967+8p5l95KYKbeoiu7AZ1D92twl5/qA47C/9r6w6465u4+1lX201CvYSycsZvm3V0vRA4wC12FlsGT4LhMGFyTXABJYyCnpFZkTOFjTcq97XVDoB00v4e4FEDmoPE0Am2Hr5n+LMDEkwR//dCM4OQGQTmLfhdYKkHahYC8JFVa1DRZ5SZOScMKHW5qJ5VuJBAhL2dYc3CcTJApOK6iZqI5LuY4deh44M07aS9dXnDcih4bWvOCaMLc5TgaaWIch6EzM5njycpGnMl675Tsj6yikelvh58KUgJVARzPG5SRjUJR8juA48GQ00b/bNqAAZYO43yc3ScgTRI0dauig+Yq5dKZARyv7jpkKU1FOW7dyiCIzB4mW0VXICeF+xyw856zeP87P4A7P3gGt3/gDlSLGnu7u9jdOYdyuUJbs9gwN+Q0TZAVOfJ5IcOw+eY6brrfTXjAA2/B9v22cevDHoj0phjYsi2wSiolJmx4Lbsl0lkmZouKQQLeoqE7QEeQPSHo3xAFt/eLmSz3DpTzOYELYffnYAPq4LF8rK18Ak8OsWIccT1/NE/Ftv9P7I3g4k6zoypHfjZD1he2PhQ37draqDI1agw15xFk+9NM2viLXWmbA3BA3U/a6xIrF7cYxhaoMcbEVAxjdOE8oD6tQPHEtEelN8fRUJjxJsHxCWgyvLOMiFvtfSOOEIWxc2BweeFfB+kljuAxzhAYlzGRjV8G6SYxhhzI43pLnDWq8WRNbkyK5UP64xd3Na4/6voVuAavwACOW1ZFLWmNMmvyJkGWzOXp8Se/8d819r5drSOpcvSYoVe+Z5nDUX70rCRC09aYxznKrsJsvo3d5T6KKEGblTgT34GXveVlyB+8hijrkJeRJJiwypElmXnKHAbHmTPRlIxeL9TcLTpAepXGHhdrl98wMMePCXAc5btflucMII2xko1kYAQHy7dHTyL+OTC/B9NMZ2eZESvzbJvuGVjkbFoMxpw2ERQIMbzvpitufxO8aQReiUjBpnWBdJUhXpI5biZybiExADLmK2FXQ40L6ee26GfU0A1j8wQ/zPsmeAKZQTqZoCdHD9Lqb3tkKQkinQgj64tNfMOXfSPOvnMHW/GW1mdo+AdDTt4YA8ctf1ON4Yxenle2D1MHc9jUtQS7ahv0cYzlfImvfs5X4nFPfCxWyVL6wifycwgcb2t+1kjg+Fv/za/itS94PbJ27Qpqjtv0RNMz1881nXtHegfe8ntvliHnKluZZ8lVA8dtIRu5zcBxTjWKOb6coTgPHGfstNaIEQKY8VAioweKxGQ9WNfUrTTH1UjyJpYprLiAUsuGlE3cmqxKiWqtREudXpdVGWRBAnNcwOTgxHi05RMM2VVGWywIOGvIBcMk4UigYoOIYGiEWT3H7f/jTjz9qc9Av9vIx4pEF/6PkSaNCnlRGD3IfJ4UdwKHm/WhJBYiFG1BSpTLrVBvuxR3XGxxThaTVZ7EMqzc7/dRFks87fufhkd/4WOwyBZqsq6alUgWlLOhXBfrRzHOvalgMIABr6Oh4/E0oy8EjoeboekmTUWNpCCyyPmZ+qYz/4ZFhrzLrc51mILMWpuObVAXJWqyxzVdYhMEMjNtrUnHteYKK5M1EM7zg+f6pMdh63xyvkxruSk4Hv7bsKFR6kQvIKNNa1gQHOf0N4FSfi+szI+OAKER5gKabfKjJB6SfNZtcL2bdIwmjgSOO+HR3mQ4F0O8DZ9d/3q01MVeaiiAwouEGuL8WuIugcbjvP/Rdu3le9YFwPEwSTJIrTmWKULSYKJrTR4qRqTL2LCklkRGVyNgLHMlMeTmV1dlE3BcxpxmOUvvuJPLAI53KdUM5xge5WYYv1oyx80Tg8xxNg9mO5SaSbGXVL93+sGnnxRtR//7eO968c++uuB436fYxSetPrp6eXNH+bgsS1FvmTYxDxF2OxnYDBAgQGZGNWEkamqoYc1FN6K8+O97eR85gKgeGg91DO3At91v7BVLsK0RYEA3E4ghsR8YyHYg8BcZwkGPnExy/XKwXApjzN4Px6ZhlBSIEjf0cGZjSFRDD9EMOz3WDcZ/HvVC13G4aiH5MY1EJuxVt7TGpg5e05AXI1Xmj36CqENkpn/UV6c5y/rupoAhPZcFaWCOu954mAyg1hpNZDgq1cxMVoXgOCJjBBzHkFMl8AHNeBtVs8QmNDuYqCfIOebEju4yQqogxgBHraigN26N4PFeuCFeSlMYY46z88dfBLGY0Av88vbyYLcAACAASURBVJE8dchdNzOcOjaON/4a+77ehJloldtYH5O0UIwEQz47xASIidFEkI7BmP/Nrns+6tpPST5au5Ptog86HogaNw666DQ/ITiXkOVkhzSTrIOJT3itIKplv4elO2ViafWFHo+fwvbRPr7A8ZBfhMQ5cE6M9WZa8Nq/YvVTD5cJFCVUzN08XaZYW6zZn1lQO0DO11WzRVmfyavI6Ihrj5r3TBqzylla13J2cnnD+aW/msV0/UjhJLAMJ0bMBEqoM9cYmzCuIwfH+TsZLGTohJqPDTH3AHBmp5nRGyMy/JhHK9+5QU+DHjHEoYakmohkjbohEWVUrDViZkRT4xj9i5uDXvp3v/6M61fg4+AKDD4BdthR4i2AATLojjNEqxin2w08+f/+Z1j9+R6yskCPOebZuhjfxwHHCX2wIcwZOh6YNVnLHcEM0wdezvZx08NvxA++9kfEIo7LBt2ix3p6A+oFgQz73Brn9VCu/EVnskkW9kWLXuA4/642I20ao7PxbBX+NXojR3LKFISYssbTIsWZnTPY3NyURnxT1shIGqBEjYJmJiJK2vTYu/0Mdj5yB05tbuP+t9wfXRqh5mDeLMYSpbG1+hppSnCm1n2j9gqjq/wdHMNQnkVvmjpHvOB/5yqAQ06jz8c6hzkma0H+rumf1kzas1ZSdCg6rGDAzoUAj6EQP6G7xyw0iVOslgusr83VBNhabuOJj/0H2Fpso6iLAdQzMM0YkjKA5zWY6KYSIOfyFThO0pAIQzFqlLo+ZBmLNBMD+7N9fNMLvgGP+juPQinZhJMDx533JoM1gon0zimWBX7vp/8zXvGDr0berV8QHO+lDWG0pKP+KG2Ie0SSy4iwiBZYbi3wyn//CuABPWoSIChrcxXBcavLLd9gLCXYmywT5MsCWcNaw/IYgnjKbVUGuByJ+v6UxwB6ykUlMdq61utwfxoua5usVV07ZWtb/KN/WUVpzzWSdBpUsRHvjHxkedkBWdJjxL4AgKs0Uh1vZ0eosaV1nsWom0ZNojyhv1aMdtVgM99A+eESz/vmH8EH/ucHsdxdYaPYRLfskCHDWjJH15ouOv9nLU33jIhYNvN7MANsEUfUMc5FhjGhUIKkrLc7zLIcq3KJjXQDi2ZhEg3zGo94/Kfj6c/7TuzPzqmZMNSZAfT182gAeodTLky2jpM0R+wNax3cNThuh1nARoIk4dgEJXCcAediTSSQgKKpS/UKvBGcU1asEr4kcpqM5xl3fPqWZ617Rpy/Bx23aW2S2aaZrRlpDT/2way2StNMJqdt02iKho8bHsOYFaZ5A8Ad/hxHKNsSaZIhof5had9p1s8EkPdLl2sKgzHk6bFZxHOJZzjXekrmW484j4Sd8fwgoY6m3PZ2VjMHb6tpjmDX96jRx/mgzmgfo9iheOY3+O6i3HE+wjE+/fGfOiFRhut7AKN0zG8I8e4VEJr4xGI48RGXZBXSw444EyWQGAi9bMssV6g4BUjfGE4BzrzWQ41eOFtoNB//K13NVxD5M+6QRJkkZti/Slo29EzSjt5b2VnlqIvuVPqS9ZvXfyDaij52tT7j0U/mI37Cfr+/pdvpvmHxgb1vy7OsqKgLRhkOdvsimgYxyxjBcfItBs00f89xXOGYm/uI32F42iAJbmDl1OxnHHN1xHEowhwgt9A/GF0MYH9gcQ5uwxw5iKVHFQx99Gcfw2e3ZTpSa1F78sWGDWxCh0GyZoAlBxmVEQ0N7BS9FA+EAO5765TjjTaaxhF+BmlL9AnOaIxX+ojG3JEEhIBUA4IJEjF5XNvbFNOE9Yn0mO4GHJf0A8Fxao4XBo73Ean1xwXHnYfsTQz7nq4z6SLYBBjzLkUu1ngicJzjXJK/cQU4XacALIcCVeNP1Bq38WYzUzC3acodcOSN8JYB9JYEDLqZzl6agqUBGJ8mE7Zm7EPbcyew+nmTGMZ60kod1hbNIAqNqw3P1b+N/OxpoTmYwA6ayj7J4OODbIgIFHeWux2+48FswcajvndUbeQw7B9PdpU1Dce6/psjzp4u+XoMDalr9mg9EH3GkTv78iGB18JigcMCgYawXa61hxJIVhnWVnNjUsgANxyUbLqxaRPMeejgzs5zbWwasiq4JplNfnxcvuNG8qM9PzQ6D3QnTRdTjUsxxWm4TB+JRHFDv7eRNTmn8iiJAeMCWSYGUrrXYRM6i1Ha4a4rTiAlmB/z3GRxaNrC3IsEFHwzeSIcxmNVJA6F0NG+/vVnXb8C1/wVCOQFPxuH88q1bZm1kOGzXud4/Yteg1/7qf+AjXYLaOZoaIQ9mWW61GvB/ccsgNNpAzjufA/jzbbYwy6aUw2+8ru/Gp/1BY9FkZhPQbPH8dxM4Jids2GqMODdpl0tb5OcGr6cJLE/M8cmOGXB3wHyS/3w94LHj1QNzyA8OQqMPpuj6jCbFVgullifraOrOjTLBrOkQNLPUO+l+P3/9Ha8+fU/i/f+/3+K9SjDYncPG1vreMxn/hX8tc99LB77dz8bzbxHGZUoNjPs7N6B2ZwSKSxiacrKO2UjzsoKGffJBqOUSklgnL46RL8H4qsVtAROGO6lcW73q6WECsHxWW/McVT6+2DoFoCOKXPhpI5wgYJxoklDTjTGixj4cISv/sInCxyfd2sykxcfmI1+geOWNx8Gx8VwFnvewPEwTUXPHW4FgeMahOuxm+/iu1/5DDz0bz7UJGe0lk/gR5+rN0lDB8dpyMn6hoacr/yhn7pL5vjlAMctm269yRVjES+w2NzHS9/8UmSfmIqoZNJPVh9Y3cxuDGuOsfQ/8vrxmnbQnjfG1wHmOA050wEcp+b4FByP0XdOUBpCESeFAzgegWx8GeCyPgzulofAcQuBBo6TnMMatF6r5KtDSQJpjrskx5UAx63+c+mRARw3eQsC2vlshuXeAkVcCPTuFyYZ8G//zc/h11/1H1HdUQFJjtlsDfWyUaxYiwmStSBsyhhWiwrh0yNOdAhm6gTF2egzaVDT3+aCpE553a1wv42bsLO3o/vfbHRYrpV42ZtfoYnfutjXhJFlidMaywly/4e9NwG37CyrhNeez3BvVaUSCAiIwu+D4o/+LbatoIh2S7ctDQ00oLQgyowMNjKDjIKAzBCGRMLQgMrQYSZiyxgQGaWZIYSZTCQ13HvPOXv+n7Xe79t731tV6dS5ldwkdQ+WVam655y9v/0N77ve9a7V0YPdbuufr3vHILxcbgF2NV0HRm9RBBiyrbfiK5QhCTYoH5rqjCbxjgad4kzK1NhyHnluSFbMZA8NanBGl14L54irN+mTOI4l9Ungm4A38ZAkSTtGfrEokCapQHH/KqsSDSVwwgApTVDrSt1hmuIhO37MRFRF8DBFQwMTEmXYM9BSfohnBjEGoJ4B+SzHZDUDSbVSQXVSMIt6Lokc8BdNOmOTxjEczXXceC0DzUvv2Tcgvi29+N3dDiRchkPY7y8uT+/TkP7HvBTocjPnmvGuQcV7cKddDm+4TT/IHf7i4gTpzbNLYBEgLmKk9UgSK53qGPExnnsEx/ls2ULDbZTa+pTRdIaz14zBOL6rkDeOSBqGr7GeF8sHhhJqhrOl8whFXX93cqM9j4hOj/4xCIL58X3L8j999YPjbbuCDfzq/Fsbr4ua6EZ0YpXIfMzNq0TJSi+BHken6+UmPGt0ABx5WG27C3zZ8RM47peErfRO7sRdUx/A+6BhqClsbaAKcjpGubt3xyyPA5oyGKgicJyTyBl4Kggn0OJNNx0Yqa3fBz/+CW8dIytw94vQxRfdUDgg3QIq07kiUOe1lBhwaAMeG0NZG37UypjRgnlDXgTSubZTMeUJji9GmIg5HvTguBgOKsd27G2xHVuCPI457gw5C0q0uMr4dpI7PzQKCRxAblrfnjluJglcuFmZICU4vnCa8J12on3KJnDcj1lcg9eq+Z2Z5IExq515htp02erl583QbM8dZgNmSbfN+mfDAECbIy/eOizkeNy1+HH8+lZg8ZHdvVly4gB5F1hagWczYVxnmliqrvvBMcLNQZ2yQMaIohmKtXYZQOvi5I5NMWSG22DbOjA3dg/IHwmO23z0q2iwmtzD21ble9l1fyLf525g2D1ie1/fZWLzy1oBaWrEfYCVZurGZwWDaKsuGzhuiQ/nrR42FZrIIEyYLHAdOWC806Y7kTdzkn2W+vSpA2usOM/wVlu9jIYjoCA4HpkLfWldKNq3O61Zv6e6daMTxYEIW/TnuLzFHnBatDL5JbPAt9a5gpifO36NWVzqkx1bT/1xsFOH50k2V3Zv95o5Aq7g7889KbqqY866bioy/kKe/SEu+vIP8Of3fAT24zQExQQBjdNPBDgeiAKifduTxMgc54tdIIfDQ2hOb/HWD70NbZNjtr5AVIwwijPTYe4YYH3y69njZcDuEpPoIDiurj6adZKhrL1meUPznX6gnpAyvA6rI1psYf1XBCBMx7OZ18iQYRSNsX75Gt7yunfgn972Ccx/XGAapVhJCZavIwxaZDRBL9YEqvz0rW6Gxz3rcZjeYEUSkJP9Y1x04CKMp2OXyBrYQfYzNUUpi0gDziAnsSKzmL1z9vT1CJO14ePjM1RBU7JYZsbZSpqQoJhjhykesJjaUQncbe9sU7UHyFE3iGYxLv/yATz2Po/D6sYqJu3EuhRcp0LPHHc5wUB3/FjgOEfAmLB2TjLOPJwcxsve+xLsufmqFXt2ijnnwHHB/TQODAz0Jzh+3us/gje84E3HNOQ8UeA44VeLj0NJzKyvrOOlf/9SrPzMFFXG3cT+zeSGCA56cLxfNUtHAENwXHneZnCccVDGPXIeI51lkhm6QnDcd+2yjkTJlDhAU5L1bZ0dPQdhM3Pcci9LCGQ4nxWSVaF0IPEEdcmIOe66sQf+ZtvpmuFXcj5aV6cHx93+o/nayFR0Y2OGU/ecinYB1IcqjNsxLrrgIjz5IU9E+IMao2aENkm195dljTSIMQ3IMmcHETtTuAo4Y4xUZcUN8z0gg5zjLmthgU3GjDfZpxbTJEVdlcjrBcJJiEuby3Dfx9wPd3rAXbCGQ6iDGVoWTNx5Z0Ppu4lMZrT34RpyaWzWiDq39ATacoL4TuJhUtfhKL4bs6NSgYamUTlCmNPIknMkROo0nVl1VDnBSZrWaYM6pcGhPbOqNTkiNv+4qsvgYvw5apKflI0i+E12uCcOikFeN8jiRLI1nh0u4iDV4iOC6AkWi7kAdtb+urOaBlt8anUgpnBEzekmRL5R4pIfXKpf1UaFcTzCv/vVXzbvofUWYcanCszKOcYrY2EyprZQCxzvz/fKAHJ5Nbj8eSs4fqIO76OA40cFxi0J2dQnc50g5wzbwTqaX0dldOzdYbblixS2JyfEayiVtwiR5ASJM4REvn291yAddYbzmTIebNmAkwaa25QM0p5+LXzZ/mnr2rwXuY+aFyP17GRMW0VtgeaTe26x997BKPjW1XmbOwGOB8hx8/oH5Zn54fK31PbNzvLM5Cf4sDkJvMbSZi3mzQePgac72xaqg8S9/KbQgYwO9OxPD2NTu33CvYu7lwV+vduws7N375dTs3Mv5u9kExIwJzBO7S3ToeUR5ljkTjtcgJoEqwdyH1v/vEkKxMVSDkcRm0WBqTOBiJz7Lp+ZAhguVPs3smgkjaPEyy1WsV2pg2Yto2rDrCKkW8BxbpqhB8dp/OicvqXfeDRw3DPHldxtn/nkyy79czBwXBpRYo0nGOWOOZ6TJSIR8EGl3XlrDNIVdUJQZiTOUfu2ZjK3aJLCgFYH5FDD0hdXvHamB9sG87urtFo7sTGNGPz51kkC4y4IZHu4QFVLEn0tpAt+5Hbem+D6ws6xNh+TBeqTTusKMHCca7Cbv85d3R3Jm8BxX4DwVRmxHNja5iQkevb60a6iX2eeKHLEvL46d84T8V0dC6PvIOnbsnyRwU5J6TeKUZAgLGIFhFERS6NO8SkNcMXOcmx9MY7NbIbMCWnvySzXpKsEnrBwsiursfyTHBgTSQNW+4XtzSZdFIvhr/2aWuPq9jFZLM1mtRG7ds9BkGn6t67Y5cxZFC+wC8UZqvI51gm1hV1eSD1xVwjzclH+xvyaH8q+2DlkSdbua3cETtYRsCJui1jrwM4jAuS2DxujV+BX1WK8SPE/7v5wHDp/DfFiBaNwyj7nbcmqELzl3kH2qYEcloBzh9ASDQIUaY5LcAke+dRH4Lf+y+0Rj0fYuGSGUTzpzvaemNE/SUlXkligIpqZPKqwxn1EyTPZzr0J+bVtDnRnXacEbnGRxQe2r7Fu2RQ19k1OARaQQeaXPvMlnPHCV+AHX7kQ1wtujHCeIJL3TYu2oUFaizBsJRnYkp2VlVjDYdz3kX+Mu9z3bjjYriFYiVDQD4bJnHtakjukzGERyE+CJBbKoOlM8N0/XWDUZwXsHmAszedCEoXIFJImNF1RTzaw2/LJtStwbmJy7swTpLwAxyDLR/juP38PT3vw07GyviKfGwlCcA6SSCOyDBn3lpNYRGnxzbHAcUKCLBBQm986E1sspgu8/rzXotiTo2CRZwfBcV4941+aiYnZGoVIZyk+cvYHpTkeV+OrTFbFxs2AObLvyBxfn67jOa97Dk7/xesbc9zlx8wGDBwnuGqEnGF8sNTM6TR3aSzrJPxcHMM5a7Iqjjk+Gx0FHN8iq8JcWnsWGzICAxRryrOw3X4IjpM16WVVegyAtyRfHTLHp4WB5KFJhmzGEYZ5z/IQiGJoN5A9c7yXweS8LJsak9EU1bzW3jMuRgjWAzzrCc/GNz75VZySr4opvECNRcXCRYiUnUQycBcnXM+N4Djnvljhyuca/TvBcw6awHOyol3uLpnNBhjFMRblhnWgTGrc4jd+Do9//hOxNp6hHZNV42XBrIjSy/x4Dy5HZRqot9pc4fm0/fhxOPp+33Y7dzcl/c90e582D5PFih1ZiJBRWLQisnEtmhebNzg2Hx5KszbUcBbDulZXiwZpC7pvobEVIaUVTUkVzzTnESOJlUi+PSyklmWp9ndKTEWRyUFVZYVyUWA6XhHQyQ4Idkmkcar3zzY2sHZgHT/85g/wlS98BZ/7zL/iwu9fhGJWWXGV+sthgjov8dCHPAS/8x9/B5iEYg3zkc/nOcarGQoy2tlJSrmNTec7zw7eX0+MMdbyUiv92G86CjvN/urIdeVSjk2fNTwWT/CVXQ0fN/AcdOfy8L69P4knA9rw+2KTnRfsMI7KQH4D8SJCUqSSu3VlJ7sHii/w7KOLAIvBVIMjOJ7Rr3FuahvXwpcMz51fTkyPA+a9HA92V+ch2kJGpgfCleSMyc0nLw6C4LKr8zaXPxm2cZVt256KS3CP9R9t/FWAYK9kVEYWuBfRQrpJOtBozudM6DzD2uQ8XPu5C0yOkBXZxrWdiLe688ltREcb4m6772ROvCO1ByGHaCaDL7nc8ihkoC29RDOpQMVAxwGr3ND5bzT58f/emQxtDqy77UugurtUGWE63VsH3IiVOADFxU7Vf5s+nCpZjkUsCznpIzpNLgntGwfK6wISKEoWlFVZEbinnJCk9CE47o1O2HJMcJxwspdVcZrjklU5AeC4L27wezzj0rOrafJBDTCacI7zBLEDJAOWnzlqPHh0EDhDGDd5BBR7Q6yEhlhmsETJA7XGOYsVJhX2Gp5YzoCx06/vE3UDuXrWtWfS8BPMhdvppfqmAMe08RVavtW7dfN3fpYx/YdtqcfeEvx3+zXCz/NJwVA/fNgKZxp8do82t5jsWcHFWts4librMnxtgcK7f+p+bEvF9kSs26v9M5yevIpDThPRj5cZ+XCm1AaecP0z8OPhmdO0hR0kjoHM0RXg7VnjEjC1dcc5l5YoJgszy2UCrp/rk5kTHS9d7eO4g1/IPc8UwY0RzmKadMVrO+R5wOvvhvu2AmzbQiRx4Ioam017vF68FR9psEfApKKhKtnjlMWJrRPEYD3mvOK9ev8yp4loYJHSqWHXiGO87oLjOzh5dr96Z0fArR2CoqmLP4ooQuMMAnlxlOVuaARY1Tg13ocPvuEDeNUzz8Ke9vpISrJ8+mb0470Zd5KLvW2AITcGguPGBjW7zxZREmr/zic53nTumxFkEcr1SvGgZAm6zq9B27TDksg6EhBOgJxsZHYOcR8JC5PVclrPx3vt14Sf/7+B44yLx8kYzbxFs95gf7ofZzz3FfjY+89DdbhEskiwUu7BOFzBrFkoDllZXRXbb16uYSXJkMYt1uYHgHGNebLAjX7xpnj6S5+N4JQUG+0cdFaOQjufKX0Y5GQ8WUGUMbs3AvR8xy55dl6AnANkPpNUInY/wXF6gziSiXlQGJBscdUwHvTFgJ07waUHXlUYJRlGixG+8eHz8ayHPxt7F3ulIyr2pgfHFacm8uqxuW3/s1D66LIqXA95u0AYR2LNsg07uWGK1374b3AgvhzsjPAA5dU+J52spjooaQhYt7pOguP/+9X/gL972VuvclkV7U8NmaqJNMfXJofx1Fc+FTe7zc2kvc1tzXfCeHBcMiPKLzzDccmROwY4bnlCLfBWmuOzCFnHHPedxE5znOCjtyFy+RBB4MYzxyvmgE52009zxk3OS0sgsCsAiIlI4DMrtFdWBMnJrGR+2smqGBmtkynq8pMlxmCgOexlLfUpvnOYcTb1p8l+L2NMqgn2tnvwvje9H6967qux0k4xyqkwHks2hbdHtjGTyob61VoVlFVxnbv+eSleNOY438v3yUlCJDbHZNf9co1V8qWoxxXKlRLPeNUzcNrPXh/NXmCtOIzEm5o6GTEbhQGsJ27W5u6U/rzZmrse3xhahrI5Bx4WNo9AcgceaAa0soCQmI8B6wrs0iTbtCQjl/uMEYTk7uW6cggo9r5flYp3mytF/qqMlMbnURaFk0Chnngks9K24VMhsaUQhhGHCVpi5GWLUTjGOB6rw5ca8ilGmB2c4VtfvQBf+OwX8fUvfw0/+N4PsHbwoBVjlQ8YGUafwTkfxEipRR6FmM02cJvfuA0e/IgHIztlhUk3sCdEvpYjyVIjyXWFVXe+03eIRcVN3NHhfxwNezi+53eUx9d9wPEAizt3ei1xv5veMgDHO9DbmNB9SWJz8cXyMA+QW9GF0sgpgXEC5EWKsCIgGnedZeRR2mnJUrnL+7JIpMs8m3WySNu9m6v//bwxxrAN4qZ2JAN2g/AMjdCWVFpovrznxvsegP34bBAwsrr6Xsczh0/YVbVtO8YMt5x/p3hTmze3YC5iLf81ynihVjkdaATHBfTaRs9XZwLoTlRvhHHCLu44PuioAN6wzaSroPVgeL9b2d9tAsOPUsFk8uPd3C04doeXCwrIeCEoouDbqEKOSe505mRkYpvi5sPIjiVOTP29q9rL9Ma7UbNiRfMhyap40LyXVjFw1mRgGAhxQ/D6iFIcIDjuZFXEMheAw/aRDKP1FekxMriT/OIOgONWU7BRodaRNiCnlS6eOzWe6xgp5SvmkdpeCFBy49K9CByXw0cnj6NYlCxPHk4EscTWtQNL0kFSGbVn6OVUPHBsevCWMnugTF0BXVVyMzjOn/SVN4HeGnObwB44N7kTJ1LkDGD5TAhqsxggmQYB1j5QGUoubJ0x7tp8SOMDU5vJbuV4/fDeoMZ0/iwQl1ZyV9zinGWiNDAbPGL99d/Z/9OgP2s7we1xrPWr5Ed9IUpJo2/79PuCgd3UrmMRhXrjcrVeJIgYUBeZCh0KqQdGnGodpa6j1R7MJHXMZGGupIHzki8GlBx3mxvX3vDkKnkuV/JDteOpicYY4QTBaSIi1qA0A+kVYRI3ZizdnxgWMpESZfvnsKCk5MQVgcUejMj8JDjOIN+YIrbPMjzvn53tuWxKcf4Datv3TEpb134v8DnJLjh+JR/27o9d90bAgVtR22JU2Ya5iENUTFR9rMWON8p/1QVWmimii4F73+GPMJ2fojiGcc/Q4uV4BqlfufwEA8cDUCPXzmPGvZQBqdoKB3E5qnGNhz3rkfiNO9wOFHQpZ6XtK1084eLDwZEpvUoyCqlXSeN7geOu3ZySK4r3rp0vD467SLaLMbrEtA2RH85xgz03QHO4xdvPfjveetbbEM8SrISrGDUpotJi5zAdYVFXOFRvaMxXRxMUixkazGiVhiBusI4NVKstTv/ZG+MFr3kZZtEcVZKL1SUvEEqpLKwdWIVS37U5AJfsDLD92eI01+ZPXVxJTNYWLxIcp+HygDWwFRy3/MFLUO7MM6TcQL5YYBxnYo5/7t2fx0uf+HLsy09BWifGdiO7W+w2M+SksbhiD3XMmpnm0cBxY83WyGHgOJn6ZdDgJ251Qzzv7c/B5eHlaFUg3qEZvAUcbyoa5FJCJMW5Z7wXb3vlOVcLOF4TWAgTzMM5Do8P4TEveAxu9Tu3Qp7kneb4kDnuwXGbMdsYu2OC42YqTrIOCyTxLJbUTEqDVra6DQ05PTju5EH0b3zqjjluxKkBOG6LvgPHtVO7VmPrrmskp5KPLd6VTOtVBY4rZTIwWuC4g5UZcZm8pMVejN2pJTytVnDhly7CUx/2VGz8YEN7UFPW2ssFl4mJTL6bGXHGUSoDRp+jOi5zxxwXsIZE31F4bwIanUqCkZ8aWod3VuMALsd/e9DdcI+H3QMHw4PI04LIurrPTcvbyBgerLaaykAC1tL7vjN1AGovmz/0+7ffu/rOej8vOwjFTdVNKIa7bhFTeP3s2BFATinU1LrW2V0v2U+LnUkuobSk+S6Z9Eq3xw4wEs9S19eSVEbTUxlyslhOneQIaWzs8fn6hsZvnFBqLcTGgQ187xvfxwVfvQCf/fjnsHH5DJdfeAAbB2Yqmgo4F7u8QBCUiDjXeVY40qPyCcYgQaC4gxjMrNjAvuufgqc/7xk47WY3UME+HJFC7LqD6b3Ae8p4xtfK88x7yHd792x4G22XZ25n/dtH2qdtYxvZmZPrRHwrsY0VkQAAIABJREFUF4QRCwe0pH6dOOWDfqR7YNwAchs4guNjGngvIrHHw4prmh1WNndZ4WSMyoctohTldJLQDIeZ10dXK2Z8IgbOfQbvMEHL86stHZmL5L8Yk/WYykh5udK+beUmK48NpsGPTuAXX6mP2hFwXJNp1t6kvQgvWhws78aHTnZjK7M4tkKZzp5a7QT2Gjjuk3sCbMZ2JSvvKIaUV+rWt/9DCnOdbIUFqr2Tc3929FUi25Cs/d5XZ7m4DBzpN6/eeGLzoSEwxYFZVmcGYg+EOM1Kv8HqM0TKUF/N5pd76gaLub59x1QiSK50wTMSXfIkgNwZcfrDRJV67YpMBuz0VNueU2Ln35nmeOsY5pYNxALHp4gJ8Ancd21zApY9w9FG6KpkjltbnAPHabahsMzYmDUDFQKSdYI0jzCaJ4gXbK9mqhTbocChbcxodPhMectkAhF4xqSVtAolEQQMd214FogMZTQ8W9g/sK2AWTfHOhC9D2x80tXNmC0GsN0EcHqqMubTvHCVzUGhYLM+sTtGOzx6yJRz+vCdgaTPyl3C2RmFcqBszovp6lycbf30W5APhDZP117KxR8ydi/2HdvRDNz+DrC9T/BM+k5jelAElFqqmOPUMmXbbqyKajRPkOSpwHEZVzhgXOxjp/HPgFCPVclCiXKSI5+6ZIGSR2ScMJlHZH0MJ2dks72H57mdkkBxkimUTSlCxDIXscKgDIl9gcvvu24NaBY75qcTWrGZTTCO4AgDXgbyArMq82fw+3IXldqe1S8jn6Ip8nL36FdUpx7pmnXtZ07KuHbbT3/3A67tI2DnP4lYLSalgeMzJh0UItU5SeCjRBQHKNtKHWSnLvbh5U86A5981+cwKsamNbvkQPSr0sBxixQXAselZduEmIZ7pBdLd65ytUJ1wwBvfOcbUC9aVItCetpd0c13Dvrjkb8764kqZLG+MFNmgrCuWN8Vy5a8h51825Gl+57JZV1yEcbBGGmR4pzXvgNvPuNvka6PsNrsRVZlFNFBGy6Qt3NQTCVKM4TxCHXZiAFICDcNQ6RJiNliDXmYo0hKLOISN/7Zn8ILz34R8hUytyqZaYU04CyMQCEDTm3Fvb+MdtstfiCsY9MormbhIq3NGySpjEmuIonFOcb09fHeACbbYXBceQKZX22EcTHGP77+g3jz8/8We/N9knyr4fTtjxMcF/NTdBVacuYCnfOmEDj+i7/9C3jkyx6O9WxNZ+KOxS8DcDxFjKqoxOQkOP6+l70b/+vV77zKZVVILqqaSsZ+BMcPjQ7iEc9+BH75jr8s5rg35Lz6wPFeDpBrwGRVnOZ4mZlG/xZwXAD4VnBcUgI2wCT9BF5W5UqC4+y0oRzVVQmO+3zEg7xeFlKkBZmhG3O8LYCsGmO8mOAZD3smvvjBL+Kme34Ks0NzBBE7Z1skzD9b44hbDhqijSPkNaVPrLdIxAePFbjuzxip3lNggYZ7RmsyYHGTqiNpQV2/SYDRT47woje+EIvVGbC3xSKYSw+9ycnct2Jwl0+5oofP04ZhpPez0pnjZGW2C45v7mEYxrJ9pjeMZruMcQDWM5eRyb28fdhhmyAuadTpDDpZdIhqzQkByKPSOjG7zpOeeGhYjCsWiGxiBehaBXRIOkXM8Rmwr9qD733te/jm17+Jb3ztm/jql76CS350qTpGSdxmXwDZ4ATN2elF/xKywhn3t3WN2FxVFYPze0J6zPG7GtMTJ74zb+dI6YFRbeD6Nz0dLzvr5cCI11ObEai7tyoxKSEWQyTL5cl4Lr8bAv5WfbdAYTvx/1BW+OixwLE/3X39ToYQ2/zuo4PjdlY7XwDFkD2ZTxRM+QIYFkKyJM+OSZGIPR7lMVBw7lGO2BEf2EnQOJxG0knElAIU9FRYWQhfuja+jDefsvVJO5WKQY0VU/dsZNz3LmlPT5+c3Dj6uyAI1q7ue9w5cLxt9+Fi/LeNi/K/Dup2nzQRRw3KMU00qBNmeog08JBpkGJEm4zSwhYQbaDsTmE7xwbH7VptW3CHTgfkbWYCW+VpEAAPg2BVLd3nCARz7WDenMfbrDlkpGelDFnJm02ahki5/zzPVLbJN5wSm6dHB4oPZmmraioX7xAct0clzTQxlAfgOPV4C4LjEzvAeBh4ZsAAHLcRYT2O8D1BohY1DTkzSu/QhIAnjlXJlwVIe7MRA+EViSnZsG+m4Qcr0DJKYFWvcHrjznhHmsEKahw47lpl1doXlZIsCVdoEsMW5rI3muWYqXAxBMd9q1/PBPJB1+Zn0rPHVfpwXQHeUGWYF9vz2qKp5kFwx3hjjWkzhGYbdzcXBiRtb1w6hNPkLK9fnikxTFC9lnYPjvdFIVsdVlwaBEGbZNHs37ycy2Zw3JNedmwL2/ZebeC4AZamk2dKs1YENF1wri3q0SbS4YoQzjkPEyR1psNEZrmueu0NhxwZS8B5yQRhnKOY5pZ48x/J6CFrLojFStyx5HLbI3gCPsB3VdhE80q//YTcNL16OMvmriUhZINISoW64oUZp0b8M9lEcsSxANh9Rfe7EkJfm9QHuo4Pdp0khfaPdmJ7ienE+3PCaZLrkxyAooDL9m814QyKXX699prk/S6xvCjECRj73Y/YHYGdHAFnqE698REN3wAsokAm0XYGsmuvQV1T8zjEuB1hdCjF/DsLPOyej0S8HmNUjxTiUxrD9tFe2sqberqV78DvPhnVTzvzM1MZZ4GekoIExwk6sj08Q4oEFXIcDg9jfc8czz7jOfj5W91SBIYqt6KojLeF9pv3jK8da09xDGOxkclQTiuT7kho8OZktroooAcJ/CboC2++s83fj48RjnoC+0r3Vfp8fWzt4ggPRBtdA3GVYpRn+M7nv42nPuIpCA8HmJZTjOsVJM1IrL8ZLkMdl+Djr6RmEyMK2JLPTrwQaRSjqOZqaU6zRADLwfkhZHvGOP1nro8XvvEFmAcLAWAEZkimIBNM489flMNyhvYCQFwxVRrNlCeP6bXkO4MoqWLAuJfbYlx1JDhu+7yPjbYHb2znAVGjvUaSpGjrACvlKs558Tl4z5nvwXQ+kawM14WAQurbO/m/UFIQpKJYnCMSjEpM7JSzLiqKSPLnTXG80HcUNWXhWvz6f70t7v2M/458NZep3k7GL9bhwRTfwPF0RHA8w3te+h6846x3qU0+Imgng0Qe8epD0Hi4fs7tPAB13pYCxxPkUYHD6UE89OkPxa/e9VexSBddDirJBnX6ksFvGtw+p156/nSyIq5bWR2iR4LjQ0NO82ti3a+XVTFw3BWTWBN0BKWQ4LhLJwSO+5c0ye3yFTG7NEfrjDq8zpCThSx2ofMHGFtzPau7WqCu65bdRuepU+Xu4sZNRCeRxHQzMuUdl1O8743n4o0v+VuMZ2NJOhHYNvXDFhlzaHO7kG59GbTYqHK0LH7S6JdFAt9jK7DNupVjxCLQ8HygfJGFkWYIz8+mjMhlzWV4+lnPwK1u//O4tLwY4Qq/I8DGbIYsGTtZrn4v9cPs88chO9hIVX2cvJmY4WfSFufFI2Z4n+T1Oe6mx7uJwS4AtwNy/Wf3+aPHPdSVUlOWIUawiAU0pmTQuy5abrklC8RJiZYdVJTxpeyp/BAs9xLEJOkqk8SiwhnHWHOUe3cYYu3QGr74xS/j65/5Gs7/+Pm46PyLMJ/NMRmNBXqzg4R64XwAwjacbBo7Or15p1j/QSziE89swyIsTdCxwXdFIYp6IWY5d0EWOtpRi1vf5tb482c8uj9juJ4i1wXO4rekuRoZcfN9lks6NMp1oftu7u2C49rLrjAFv66D4/7+DDPyCg02r3uFcT/OHnMiQG7nXyVppLFwpgjhguay3NxYHKafG/kZjZQVtB+yGMqOfxIwOYdXCs3p4b473M+7Od11CjgE8ETJ0g7Ao2NNg+EM2PwzxhznIgtRaM43LGjNYkxnKdfEl9ObjR6MU/DJIPBGhts6Lo/rzTuGLLUUGy5wy8X3Fmc1s+ZXyqJEsppikS2Qh3OMJzHm8wXicKSUQQFQYPR7vqqQAZZPCo7rnk/YD/eDt3kD8Bu5Tx42bftHJA1us3d/333m1h3HTebNCcoANt30fvuUYxUNNn/0sTevraDskRtpPwIW6hqT3MJbM8UwoyuTW9Gx3RjzdbQxshaS3nrKDoeBwanf/aVZSKYTiydsJUnYLsckkpvG8p0DXbVcoLwZ1Wh8mWw2BCRTpEWGhBrP1BunsZ6iYXKOvHK4abzHg0osOx/KUY1mTB19tpQW0qb0gQQ3RrZuK5DRBmoBkj3CozyPY+8uFjwOEtstM9FNwa2f6Z7bMWOYHv4+2gbhQfI+afaxzOYw2+IZNxe7u9wKxW9ejkefjVc0R0/Ycr76P0gHpAVkCQ8/F/TKSkD5tXO0ZpEmjxAtAiSchw3dzSNr8XM6OgLG+fNdINiiCAu1mEpOJSvMlM0lc2TwcC4zSVk6Obr6R+zEfqMrTvhl1xUXXADZfZmooeTnNNIDVhgUssBAH4KRihXUmyU4Tp1xSYE5cG0rc9AH2Qy++55E2+nUCknGh9cGJpOQ2sCUULGFbsEXn7WYLXz1ga9dpe7mGOPU2y0Nf+A6urpO7FzZ/bTr4AgYIMAt1NpWrVgpVSrfjixpIiarkcBxAuLpLMbLnvlS/PO7/xmn5vuRBiMcxBqCSYg8n2McjUxCQF1z1vbOIhaB9kDxK20GrWut4Xom+CETTpW2BA5VTKTZqh2PUVW0W2PMkyNfyfFr//m2eOjjH4Z4HGIxE6ncnR8Eyxdi2QaTBIv1Cin/3IUVNCIjOFCgpsfPqEZOzxESUVQsZ+u4OxeIFzA20TnUEzN8om2grTN/9nuO20iG8cgVTpojYuHjnGIqCIYypc9IxIha5EEuY7vpyn40h0KcVu3FQ+/2MBw6/yJkZBVWlDkYIcAEERKUmKFVbObBIfe7a7H3sZmP0NTN5aT3yNj6udvcAk945hMRjVKU0ooNZCIYi/VKZMWeaKlzlv8Zy3iKrELqRaxn9AKpEVK+kKbalMxiwUKyWf5s7hNwL8VnYaLJb+3U/m1SEK30eFukGM+mOPtxZ+Jz7/kUJmUmpuRCsn4mk8s5bgrKAZWQjR3roGKSU0x8zJvdEwSgPACrDgqfUbQFknGM2939N/H7T7knDqWHZdS5cyOg1i931WwDbxFELSbFFP/rRe/Ge85+r5FqnFmlZM9cn4nXWu/lLo9z7nenPyUeAtRNizKqkGcL3OfR98bt73M7zEdzR5wwORvOFc8yTKpMxBqTVFxyBm0BxwW4dXreLAaYISelANP5yLxyGHdy2Ohb5TxyvIZ1NwKbCDLHSIl8CkOdd4HoNH4tJc/aTIH5qMI8JJva9vWYfkwCOPXt6syxPx6r72frmByZLBH8orxFEtMlkQzeCIvSZJbGoxj5xgYmwRjBRoTmshD3u+sDkWyMMK5GaPMWaZCYJrzziVFh1cVwWvndOLgdddC966M85t0kz1BySDK0/DM9MvgDY+BAcAD/6d7/Efd93L2lwz5vZipApcEYVVkjiK1/3F5b48ajJIjdX20tonoSk49HezmPPib1uITfa+3Z6P6dl4L3VOjPEPtcTwKiooDvsOa01emmdmRKqySI2wwhu3gK18VTREg8P4zyKtxTOffiFkWWo1idG7ZAVji365ZgOlnoEZI2RRaOsH7ZOr57/nfx+U99Hp//9Ofx3Qu+i8WswIjF8jyT9Kp/HZHzdvn5kMTpc2JFH0aG6s5Z92+1Ca3x/sger9oSbdJio57JmPPPHv8o3Po3f8mGj/U2doixAykqdQbynuKVCAt2RUnKlPgG2elu7JvebHTJ1b/chnWde9fWtdM/Wz+3t96yXw9eaYI4WUpcjLKpbu4GJX2qSBy1eePqhG6q09OOGEGNPMoRjACk5iPDGNEkzFg8s+45X5BXdOm6PczzrfdrWOqxDPZpH2MOpUMVM235Gb/HefJGUdUYj0coFzN1mmXlFNWhGpNouoim0d9FN4meHEyCHy51fdt8046B4xq4tj2t+lH1sPlls/8R18ketsgV0xJlkiNky0tFswJWENjqys22QuzAcdociN0rxu/u8t7mPNjG210LiWMoU46Ez8sAHDLHTcvbZHAoP5AizVOMNzIBzmIwuHPZS5wY01IzxFqGqFnoOguos8SErlDbKXXttgeOe/MEOT4zgWGwKyPRBGnJal6moI6MUGkIO212VvwssDFTRF+d5glbxBVyauiPqRNMiaBS6YClmQHqMEDp2OdMGHZ1f7cx/a7Vb+VhxcOL4EZtbZVKvoFSckacW2Q/WMtVPKeGI8FxC8SNIUz2ljF3xER2rGGy0fJoISMetdKnletcsBNLch9KrnfBcW0/jjEiZkzX5aNeR/MV0KtvlePBGbNleJGpfZPBtHeZ9+wk+xhLPjeBSVLH6rspTBeYTE7Tmy0po+I0Ecns9O/tGIROrsiCj5P4+V2r1/7uxe/0CPh17lN1CzosuWe8on2YLZ9horNfzPEqw6Qd4xuf/QqeeP8nYO/Bfdib7cfF1Y9VjEzTBM2ixr5wH5pS0IUDHSrFAKGLA3pw3GIKep705S7Z2alwyoghQYSJWMsFLskvRrO3xSv+7tXY9xOnoihr6cauyNXeGsWqfA5kKYI4YseqwY2dep55oUivMmMRnyxla903SoONhlmpWPxl9W0PCvu9bFCGO4qfje2pXlfTxXJHPPDtyaKJSMGW96ZFSpAsaLAgi5umqk2GaXUKPv/Oz+NvnvlKxAcLpCJWsriZIGinIBxLCNa49cf/Igt3Hm3gTr9/Z/zB/f9Qre6e+cdk1g5jA3ZU7Jb5nXW70si1CkvMmO9klZicDATIaFUcKhlDoXmb8hvPBBsCWTuV/fDpxjy7mgB1m2JvsQ8veuDzcP5Hvooxk/swxrp4biHSmmxwRjQs9FAemGadNuMJD0WtGXKZhnIo8gkNOMWK49+UAaI4QhkucOcH3Rl3ePh/wsZ4w6QNj//RnZB3+MKJ5OyYj1KLOGoxKiZ4+wvfI3B8nDOXiJQT8UJdtuPkKIfFpeO/JJsZjaQ7KMNAfxlKqdzrz+6Ff/8nt8dsPDNSkvIwA8cL14KflSPFjKZLvNz8N1xy0CnjgGfPYuS4SHN8kSAhOF4kIg+obqR2Wz+9l4chuL+RPc9qUxUUaCjNOmkxz2os6F3mwHECpMzRnF+lwHGRyDutbT/+fay3+YlsZiz7mJHyGlkyQl7UyKsKk9Up1tcPYzpOkFKuZL3FarUHz3/8i/DZf/pXxIsUaWtdnyymmN74kdJ2Blhf8cwWSSNokVD3vyqRxSMV6CiXslatiWh4k1vfBE968RNQnVJKbzseJcg3cqym+wQIE0hb9vkPO58tFu3PT+W6m4oufq/vi5BWCHC9i1tko2zs3bzwUrK+O9n9t05HSoswhwopQxEjqGOTMKkiZHUqc852USPi/hMRRTbNcO7FGLc4hAOIpyzJRTLCTIMU1azGN7/8TXzps1/CeR/8BGYHZtIRbxYNsihDEiT62SZvMAqsyLTcy0g0xiB2gjqakwZa8tdKOsa82EASxMjbHG0KzJsFpqeu4sy3nGkN4y7EIOhPHKMICp3x0TQ0gpQ6kWydU6rIOsz68d2p/XO5MbsOvcsVF/k85APHrrMykTybuh8ozSmvKtsJ9Mvtnea9yLiiFjjOjrMyWqCI5mjiITjuij3OcFdmxy6+Ff3OdYIsNarHAMf9avDXO5xfnci0wy7KtkES01C3RcLzYYNnBIuGwUXT640fgxvjnTshqTLYfZYamm2/Scac6/i3a987/KpxM/65vCzQrDSoxzUWwUwuwDKXY0rhAYaASQZJvtzozFTw/3aIbPtCdz/gCkbgOMHxhoBzInDcM8e9/tWxwHEyAhq2no4amVIZOF6cMHBclWkeHpJVYRDlwHE6rc/ZnmUOuqrCeXBccgaOeeB08Yx5xvamCvnYrldakgGNs2inbaGAMcfZ5ug7H3aPp5NzifXgON2aVehz4HgluaIeHE/mNLKlprWZc3JzlOSSTiJjE/tYVMxzGnHGOZpJjTItzRxWCIkDx1sXlO+Cq0fhWdt6NAK50yUQyEQ2icnfgGBMGdre0Pi2S2OxGAvT2jTdJmHmmwxvOqKSPTtCB0rg2F1G5iBbIckgp7SKY3wMWyJ90bFvq98Fx0/OvWP3rk/ECHiGmjXg+HVvCYQlIKHY1HXeiN3Dgv60HWOEER75Bw/H+lc2UM0pi8FuMhrjUTghkSkYu0MIB9paJdRNYNZQav1/tVLbvk0Y3QlqWQGd+ztFGAJqxxKkn+ldZLvNkjl+916/hwc86v5YBDWqvMQ4TxHMG0Q06cptD4knZDMbKzzxUh8kKlBeJS0EylaMUVTZd4VWZwKtoqAjJ3BUuvR/AGK4w2RT/H00nKDrevHj6x7cpiLkUg/TOq9ijhPZy20tYCAbTbHYAFaKvfjLBz0LX//ol7A/miCmlrh7R9RO9TQch3+pb2esVwTsdC3w5Gc9Fb/w67cSUEGgMqKx66KQPi3PEOam5rdiZ7xmS1yjoGxWUnem2mJIKrZ0+7rrWrILdL2OWwZ5p6JH6yAk+BqhrGPsb07F4+/85zj01ctUiCAzf+EkipIBOK6iEwbguLomaEzowXGpwQscp99GWRVIkWpMZ+06HviUB+LW97w1ZpP5DjPnzZvJZI0SgeNkDWf5uAPHp9Q/vgrBcYspyBxvlCPlSYG7PvguuOOf/i42RhtiynLeMHe5ToPjQSnmJCUl6isAxwU0Oa8s66L0RpT9/n9sPGEzQC5QK0xQlpS1iVBUJeIskdQm98soD7A/OAXvff178Nrnvhar9SqSOkXJIkqSquOCEkxDv5l+Ixoyuo+1PbWIkhCLcoHrrZyGA+sHBO5SfoOGm+H1IjzkqQ/Fbe96G/zo0EVosxZhbN2l7MSg35dJHi23gww5sv4scCfoENfudnv7S/fLF1Q74q0VpfvOpL44IBmXQcdkzy4HkozjXiAvSSIJEMepOlZEni0a1OslptFY0mRk61POSprflAQvS4z2jdHMalx84cX4/Gf/FR/78Mfwra99y8yuKQHb8jRP5PkkFq8MTM0wk2d9Rcm1JcdPRWhXIDBeU9/Z6TuE6ClSNiTXBTLmpMQU07+NcgNnvuEsnPKTp4CyzfwgSWbGQElwPCrVOUDCjcDxyMDxbrjdOb7ck1/quNx905YREKvaFRe5P8d1rGIigfEwp7yK5fp9l7CTWXZzpaJkGWO3UWvgeJzrl/ypvAeZMASTCTLm+NHA8eUfzVByqWOPD1ZExxwfIOb8I7vkNfeIc9TkFSQIFwGwESCNRk3Vtp+b3mhyX+zHV4Ng2ert8vdl0dYOv9pZe6P5JfPnBwdxz7ANgyKr0E5brOEwoizQJs6NwbcDEODhf3MimW7SLjiws4/wyoPjnY53kWK0blreWvh6jkNJFac151rL6HhPXUjqbXlZlSI+EcxxvwScgYpzDCc4zhYPyqoEG6GYoTTZk3464yPXdu0RNGOd8r+4WTGgb1CMG1RyjS4cc9xSMdXJHThu327tL7uvk3EEuK8ZOCLmoOuCseCdc83A8aSK5WQtWRWyIhw4bjPOkh9bR465xpYrGnHGhYHj1F7UeqkdC9rpYatf+eTdPzczX4aeDsOWUBtbAuBMctlCKekUBt+Us2SrvrTF3Wnq2igpy6Qg3kQlHbZhRTi2hpLlwbOMADhbPPlIJW3ItnoZThNq86xzY2dZ8GGdMr0h0sn7/E7GHWP3nk/wCCg5OZLBaUmEsX0lE9cEyIIU7azBhNB4m+JT534KL3n8y6SRSCkTJtx1UWNltIJyQfiPAKBb+vrNfE087GGpsOdqW4ed/TvBcfFptbdk1FsuZxSZsA6gFWA9muGcD70di3GJ+XyOlXyK6mCF8Ygt/txHarHMqEdMsQruW96LoqU5J6XpEoLkLMhZWzb3JUp6qFtFNEvKoTqGuJNy8olWd94IaekgkQFbcGtbvWOhbwISfJfOss80MIApZEu9maMXTYlxtoJgkeLir/4YT/yjJyE+AOwNM7RFaTIxfJbhKuh1Rz8bK1we/0vpHffsuFW3zxlnvxx7fmKPQIhwEqKZ9Yx885NghxCNlbnnm854lTWoHKXV7/cNs0UzsjlKOeFIj6WdCh+NuWqaulWVYG91Ch50+/shvqRFtCArNsFcHRgszhhz3DT1e3DczjQDx405zoOQVBKWLSgz1iAvF1hJJ1iUcxnqPeWMp+CnfvunsJas7zhzXOe+Cuc0FjPpz3Qxwtte8G6897XvwwqZ01cxOO4BCOYei2iB3/2j38U9Hns3bGTrrmPXM8eb6xxzXM0trqucuZbA8XGLRdozxzm/YtYQPHP8qOD4sRjjW/eFHiCX5jeNUDfmmE5G2vvyIkeajlAtGqxgFd/97Lfxl494BpIDIdI8QRZmYpiXMlcPEMubZisMc+WuRTxtYl5Ni3FIGa8GebtAlVZYS9ZwtwfdHfd8+L1wSXEZkr2ZZIkE2vP+y0ISUEPZg+PfAbfIgG6R0FR+q1vx9+eDZPd3neSIdSOZN4N5CHSdll66yxvfO7DPA4aLaiamfMjz1xWcuR4po0Pfn0mQ6cxuNiqRWUbJqq5n/ZJDuPiHl+Cj//gxfO7Tn8f3vvNdpEmqLgCJOzXUP246zXFqiOs73VEhHfEwQN5Q13/Z88NG3IrPQ31q//cWEUQxvaF4JgDzcgNhFGJ17wr+7a//Mu73mAf04LgJpEPm2+ysT4k6tirCSrKR/Th6IF6mZ8fhv6Wm3HXlTWKBc65zf6KML6VVKNVJ1ngeCByXXwX9yFze5++d7yELnP52Mlcn1kQSXFro+XeyKT4PdQoNHenDxW0uzFh6SK8IHB8C411Rxp33mnnspIpSEU+myNDOG90zEP44noxek52ePj/YE/x46Yvb5hu81CR9AAAgAElEQVR3fHW0bbuKA/i99e+svXQaT6/HlpFm2mI93QBY6awr11ZAOQqaG1oikwkkGhohbXMkdt++5AiIPu3sdbhgj5RV8aAxfypqCYpTViUVc1wSEb6CeoQRpC0pJmuqhpE57mRVBPaF29Mc98c221eN0WPHhqp4VYy0yoCNUCA5/9sME+2s700iHTu0NcZPRYfojNrojYIUsrTYumasMaMtMCgS+Ok2iiUHfvdt1/oRsC4CBaw0dnVBlg+TAunfsc0qRLwIkZKFVBGstQSSiKw4iI4BQ2xdBxIB1sRAcbaZEiQnk1At2yrGONkjATAnb+eNZAT8/iP5EwboBl5bq2kgIEXcEbW8xaabSdNN/vJmwApyvBaiAdncQ6jrrs6nQWTAfcyc5ClvQLDLXOWFrgtA8dI6pnHuQ2cDETyDxkAlJUcns2b8tX79797Ajo6AEkVbnJRG88UyC+pZyHKAZtMgiVKTW6tC0CKzODzHKclpeMCdHojqxzWKQwu1wY6jCeqaYiqUlSB46+XU+m3Abwem/8n9QXC4A8a5/q1oSs1xJU4Et8kkp8ZksMDheg3NJMDDnvow/Nrd/p3Awz3lKQjWKNch5RBAkm61tGjJGorr1O5RuTG1SY1hVLIVOwGClH9nLDNjmjHB0ihIl9d0K3keWZuuxW39fqVcx7W7exbckHlurIIjwd7t8HMUixGYZIGZpQWyZ5sGaTvCSr0X737de/HmF7wZe2jAWQN1VSCOY2ufx0RwhJh4S4IbYuSGMebNHOEY+Mlb3BhPf8lfCnBHTPO2SOCKSazYXJLeOw1R6UmTtSh5Jptrm1Obd8CQUQcl89e//Bz1katlmDsJjhN4pOxQQxD4UIoH3v5PsHc2RThnPBMj1xxi23gPjmscnHyK3QnPTDLH2QXQg+Ol2PXm88F/IxA1T+d49TtejcnPTrEWr+04OK557cBxPbKwQTLPrjZwnFtIrY7DAE3cYBbMcPu7/yb++Gn3Mea4/EoYjySKb4p4oemUUXO88bIqS86ga4CsiqSfOMdCI1ARHGfutUgqFCIiWDTtJVUkqyJw3H7frJF7ZcfB1qZY58QhQkbuJcLIinVBFWEl2Iv5RQs898+fg2996pvY16wiqrgGQoRpjDWa/LbENXmuDGGY4TUczSOmL0Qyd+B9ENAt8hkmcYYqzHF5fRlu+du3xKOf9zjUpwRYxDWSUYb1jQ2M0gRlMccoY0GrkEb50Z1orsTJPNjvrclI1eSBsaUrfnYf1cvH9Ji55057coovqg7HwRllqkPWEUNc/Bsktm9WdS25FAkcBdQejxEXgXKmcZNx40V16Qxf+Jf/gw9/4CP4yhe/go1DM4yiMYq8kCRNlmVYzBao21oMfNU+o9hkWNw9cH/ieSNw0qxjl96BjTlrz94MtYmQ2HxVH1kQoCTDlnJcSYKKWBjlgBp20yww3TfB35zzWjHE+apYCI9DJ61i53swCZRnsKvEm28T76DPCeOPTcfLlXjkuz9y4kZA+5DTeZI/XxMja2ngHAELICwChBWJwAPdcGtntiJN6GI2B45r70vYNVCpKGqhnrHGrUNm0B2o/Nbm23YCCO8RaOajLppzi8Uz461oZePmwhozKyXpLMwQ5MC4TNDMayRR3M6K/Ev7fvLUP8Op+EQQBHZg7cDrmgCOx8hx89n5668Zt9Pb5nkurebZSo46LWRgZANJcDxEHllby5gadHSYF5BxZQ+1HRjh6/hXcnHYpm6LrQfHTUuZoB/ZqdJG4obcGXKmSBZkjpsBlOMnORUC3+xswb8MObnBj1rTyqSsimOOb0szyT0bf8DxsPDAFltbqJEXLiKkBMdrmiC6XFqdeG7OiS3CoIAaiQS7WtRkuLOSR/BL2ujWTm13aVtIrzC6O3ev40vk2LenM87mOlnjMuS0I8Rp2dNAzIHjeYi0ilVhZmuggeNMnh04zjklmRXqzrHNqlE1mZIqZWQHprVs20kleQ5vGrmd0/Fa/PBMosRAHtPJJFDhWtp7Z1PETYKsofdA7GSWIsRkjJNuqb3A2N5MxNwIC3QnkDRkjhNs4j4mPfGE7E0aSNUonRG3Txg83CFdSm/Y28kZ9CzXjnlwkj6/a/HU2730a8IIKLm3FvihIZhPIgjiIWLrdC1QNZ/nyILEjNTyGlNM8ZFzzsNLn/4yTBdjTJopVuM9KEtyvCsx9FpnwOkLngS9+bJmfpfsK70eguNm1mmcXDptqeeOEIC6THLKzGUt9t58L17+rhfLnLy+PAR1hOlfSEPIICM7uVHCLLOyhmDYwNxOerw1cu5YZI6nDdq06TqOLMGyvVAeFWLs0VwwRsjuGRkKu+JcB5IYJ94SIQd2dM/ZnW1HGEgun4IYON4g5Jj68WojJEWG6XwFz3vMX+ML//gFrLQTNKVpi8cSyYZ0f3lFfE5+zz7+KWlmauPRGPN6DevVIdz5v98Zf/DI+6iFv2xs3nShIp9HkiuGpTwgWdEVTTuddIqNnWtD9GPYxQQWF3Sa44Nsc6ciSF1iXVPUBm2d4NC3DuPR//VR2F/sQVSICuO8U3pwPAhMc7yiDIlM6Q0UYkRs9rUmoMufYts4pVWSNEax2FABZzZe4C0ffgvW9qwjH2n27tjpZzO3lXY0ST/KHwbg+Pte935clbIqPlQkOM5YgS32BMd/5Y6/gof99UOwnq45ySRjjksGaACOM470TN3jn/sOo9lhzXE9AXXakXRAmSjGvJTepJl55cLktmONc6mJVNAp3vn958qton63ciQT7oVRhAq59krukVk9wkq5F6953tl412vehZ+YnI5qvRS7u2ho2BmgaNnFSaIvyz5ea89fQ38tR+6OHhyXEj8QJyipdZ6kyOsZ1puD2PtTq3jMCx+Lm/ybm+JwOEc7IsBLo2BbY8xF6elWlrmYmx1ydbyToDO0N3xG+5NjuBrg74HsPq0xoGxYJPXngv3MFZf6NgPm/Hmeb9QsJigunlAdIiUBr2b+HuGy7/4Yn/nIp/DxD5yHCy+4EFg4WUr+LAHJMJb2esgCR9tqP05C90yrSkC5aZo7u2ziGVKDYPEzlDTLsi/BiY4QyJNEOeCAIGVFRFNNqNoWozFNVHOGJKiLQprpr3nn2QhXyBil70CtuUXuFIu+Q2kV4Sc8fwTpc7/gVzvizpWb+sve5u77jjECHTgucoYREBJ2KFO+twzsF6VV+N/sMKHnnfeqUmWPkpwkWZE1XpuyArsBnSSnlqCKVd6Xz4istv4sGNyu391WcNyilH4t2z472M9c442FOez4S7VOs3mEoGwRZ9GBWbB4x+pP7n9SMA0u3MnJs3xkegKvum3bPfghHpBfVvxFUkd7CxrVrC5QjUvULCswqG0MUMwjq4KMqJm1C46fwKew3Ed5cFwNQDosvY4mQTwWMHQKmd4xDxSB4wlGGxlSyqq4Be/BcbsK3/bjWE6SVanEyFbwk5QCyClNYID1NqaxT+wE8FsyGtI0RuxQA8ilAyXNscEYueRFvblShqHOJw31GtQjaLMSW5dttOpnNk1Ru1LfRLXcmO++6zoyAt4XxZlSddVXV+0VS08tVtS2DqV5S3DCInvXweCKUj6xlplc1OigbDImQxYkSa5DZnOq4yCkkZkWnTE3TsaXAQ0DGzxJzNg+1lXdqVHojFJitx/w96h0gaXc7gwg7/QS9WgskPGFP+4PZGYSFFcbXGrGeNzLBEI5SRzb+5zUgtc79yU1j567NEJP7wiw6WR8krv3vDsCS4yA1g6L1sawMYDcGRW7tUXeJckXSp4JkgchsjgVm7tcr7HS7MVD7/FQHPzK5djf7kdUpGKhHa4OSyqCJpyMjQhLSDglMPBP24ZPFEyQzf1/pwHrknHGUCl1VAMy/UoxweNRjMOLdTR7K/zlG5+Gn/k3P4PZgUqFVNNG5WZSInJMRlLgW3YgecsD3bAjLfBbY2MgcU/i/iRT4E6n1Hwq/PgQ/NEvt29aC3zPCh/qi/d/Hh4xm2O1zaZtx/cMFUVR35far+r6i5EhwygfY/6tDTz5gU/GxnfXJUvWFR5p4k52Ic9Rkez5bJZrizdJnEhyNy1KRBlweX45XvHaV+L6P30jBHuApvSna42W4B1bn0c1FhmT2EbgvkzejXrpJHe2mtn18gTXNHA8JnCkLqkEX//EN/H8hzwPK7MxMsbQiDDXvDZwXKUEguMEcgmOK3HnyySF6IKSuLJRoY5R0yAOWR8qF+qCG91kgjPf/RocjC9HkRU7ev5pGTGGqxrENObj2R02iGcp3vr8d+H9rz/3KgfH2Z1C6STx8pMWa+06/r//8At49MsehbV0TXEf574MOcMGuQPH2RXLNaxuwmXJZdcA5rjlnLV5tLAjb1ShTM33SexJiYyzeOFZi27GLRE3bc0yCQCTOKGe4YQdDkBQhJjkY3z6XZ/GK57+SqyWK0AeIEsod9UirxegiSdNls2KVuWhLfq2V8Tl7uN1+VUEKUq1p1SIV4Eflxfj/o+9H/7zfX8PP5pdiJXT9+Lyw4eQJVOdI/lijvE4xaJcM+ZoSLObJfPnDhz3hI1eG9yD5f2ObkXTPk+x3MPLBZoh9PA1LFo4yNx1etlebsUJSRuSXYsE43iiLtvvff37+MT//gS+8M9fwPe/9n2M2syMOak5rpXiDDhVWOMJYMQ9Fjl0JpCFzm5yGg4nif23OyN41og1rr9rMcb4iKd3ZU+xAddWiACBcZsRLitTN2mEIIwwK+eYZBOs5Ye1R06yEdbaNZz1rtcg2ZvK24L7EMFxTi0S9VQ0Z76RsfDt5FVI4HN+aY7jf7Kmf1f2MV1lP9eRm1wHi7Anyo/J887AcPla6Xd2BVonsjyv+JCZUzKHJJGB+0/WqhO5oKwOpfGU2joZTuW6g3x/uJa2cYfHAsc9SaInS9iX9Mxxxr8Rotq8B7N5jLgNSeQ7f3Ta6LG4YfqBIAg2tnFp237rkrvitr930we0bRtjhlsd+sb66/YG01+gAQHNVqqVCnm0kHsEJwsfdBlSrIvu53a00HBk6cP9xN7GSflpAsd1yA3AcSWZxphh6sDgt4p4AFG704Hjs1QabAKi2T5sS8eN4VBX0TPHna7SqEbhNJTJ1NwWtte1rrpDUwwrbkoxgkUg1+CUjtdkB7CN+KjguDF/GIgxIGNg1o7ZxUVGaCmJC5kjOBCzb+PzvJOTctrs3rSb7hbq+jDJgkVpXJP5QJZeYfpjNHhL2sQYeyZNa0UZxzwzSRBzsCZDgAclAfJFsJDmHJMkYepG3XAtkFamObmjIx+UO+3hLmDnXsW9KZYOWljG9gzkRUBhP/cMvN+e1931ewqXN2UVJM/A4mAlpiafhVialF+igVa42CThYtC4Beks1inhGjSq+Mq/LSCrkJycpY3dLWR3BLY5AgJ2aVjpJYs86OtACxYaVVC0RRgnEfL5AkmUoCpLjKMpkjLDeed8HK9/xmuwMltBWLJRfqS1XtQbiN1GwbSXqsoUXGEiLr6gCvLWRG2lS9emzcRf3Whm+KZ2agKHZPmFwHq5juloisPBQdz2D34N9//z+yMZT1CUFcq8MpZkUWMcj+jORXo3GhdjMXdW5OGL+zTzI0uXTHJqYWcmySXZJyfFZV01LrHp2uZdgV9jaHvRUEbF2Xluiueca4I7buwDLXZfbgfjd8TaZ4GZ5BdjpPUI0/kE3/7ot/DUh/wF9jV7TA4vIjgI5GUuiZqMRldiKG+nLT4QKKHunoadWSWCcYDR/gle+qZXmB4wO/ol1UUjNQIVtboK5yxChI1qFAIp3Cav7i/J/Llk0jELfdzYgUmb+FnbXAdLvp3gICFwSkuEdYJPn/sZnPn4V2OynrnxjVA6jdtYMQclAsgJZ5cbQTljjhvlU+k+Ek2FEAV9efiTUYiimmOchTjcHMLNbvv/4OmvfCbmkxkWIXvPl509S9704G0eHBdznIah6mCoO3CczPGrUnNcI+XAccYMDcHxZh3/72/9PB7/ysdiPT08YI5HijPyxLrU2Q1LcEKGjNdacNwQb7LfBRCxW5fkKaex7CXntEV0vlAu73JA7ZWdBX1m2r9DsToNGsMQi7aQjBB1xtcuOIzH3usxwKUt9kX7sLGYIYoTLKq5LoTA+LhJtV9yjm/2pbDNeUsJcXCZfr/k74wQedbwuR9Au7fBrW53SzzmOY/BWnQYyb4MG8UMoQiFkQgxdV2hakokGc+41mQ1lgbHh0zvzZJ/Q7maISju41fu+7xHyQ8eVVbG0ci6+FerzYHp9m+Un+A8LtZKfP+C7+NTH/80Pvfxz+FHF1yIdkbgeqJ4vS3k3oEsTDViZFg73j0trmX0Szku+lUIPGc1zs0PGt3qLHYG1ZLxUVHMJLUEzi87fo4kZ50DPqkbPl/LBRgXxIw5aj63BHVTYVZuIF6J8dK3vhzZKSPFBmLAU2KMZ3pg+IPAcXURM99gBz/BcZ5VrX5ODP/ljt8ru3R2f+4YI+BlR3j42/GvaiMikUppBks2dajiD0Fy/V4bRkUgnfs51QnKsNDejywQSM6iiMUcbi+R8pT/Dv+wfTF+e4//aOC4/0Qz2N188z5+EVGDLHkWaechRnmCJIzyjebwR1d+9tQHBePg2zs9ca4R4LhC67X2+s0aHltdmD8cdZNWKw3m2QLFuEAVlEi0d1CHKZFOFgfXNtrlg9udHvzrwvcfAY6rZOF1jjw4btqBJDRxQZC1QM3xaE4tTDO62AqO90B0K4CZiRt1xtmSKk1v/lmsrG1M4QFrXPpHbYyEOs803FuEYuzSXVxtLc6M005GTj13iOl3stmpMW4GS7w+Al9khDLpNXMRxwboTEj6p797Nl0XVsIS9+AdyqkXyQmv+pLXuObBESvI4xqJZAjrwBsfP3mAQ+CFGTwKBE8aBUTSHaeGrNpOfcJtoIvpA57k4DjXv6nTyKxOmsJkuDl2JDXD65x6lU5rt+K/Ox3xXg7cHvxgEXvddxYE1fFC0CmtVbSQgRsLGC01APm8jLk1bH2zAML3/fqSoSujDCQM7Hstadh97Y7A7ggc5wgcBRw35rhnj3N/MPaq7yjx32BFTDJfUjSXNnj6ff4CB756EKvNXoEkYjO2OeKAbdctGvnjMKExcgd5y2QzWpu/weIGxPfaJ0qWJH/lRFg6TxbTos6jOYr9Od7w3jeg3gPkIdnLMdYPrGGlHmNcU2ZFLr/a57xFggByBmOW5WsL4R6kDhYWUp1ZpFinTKgDdsD1clMe7LCPILCrgKjDWPqSnSc5uHb7YZu9Q9t9t81xPjkXhrVIWCyYbyDZM0VVQGaI+4q9+Me/eT/e/KI3YrWdqtW+ICBgw6hEMRWT2ZTel42/+D4CU5InqyqqzKttnQnqnzzqQfiNO/06Fiw6jCqEWSVd8lk9QzMKsN7kiEcJ2Hm4GZt0zMHBlj4kVPif7Uu6y179MiO++T0Cx8lyk05qine99t14x4vPwWo+BQqWgiI0BJVIkpF0Iud5oQ5SNCmCgCUiFgMMoKWsQOoAozLgWFrrf8MuiLjEPJvhl+70K/jTp/0p6mmN9XodQbRzxWGBrmGAqqiQRmM9x7opMK1X8YZn/j0+9Pcfxph+MVeRIWcXeDg3cOZYLBicdsvT8NdveS7mo5kAMr4Y0/TgeKscjPGOadMuOYeuBHNcPi2LBMl8hKQk0Yj9AYyBDJyzLpcl4xfXsVK2OcqkRjsNUGUkHBQiI1C1R4WrQYdOz9bt2cj+7n04PZzlBE2zNJXp8Xg0EmOYv/i5k9EYVU4fgwSzRYE92T7Mf7TAGU99Ob70D1/Ear1C62bN+gWlDQPmq0DSRJg2mdbH3JXnPCDuIOEti9OukKBt3Vba+ynXVFdkoI+wgRkWkznC0wM89+y/wsqNVjDaP8aBtcuQJMmm/cXLyXhMdNm6SH+Bw2fnwev+XwUuRwHCODCJL9epQ4B6nI7RLoDUFX1JiiTwS+12rnsWnbjH0PNHIGERYBJPEbcJDtBQ87sX4bxzz8OnP/opXPzDi7EyWhVYTTA8DViVNGEy2+mtGGsFXJ7H1sltRbvNIfxwOqqj0//7EUCfO0KX3kpDpFGGsi5BNMN/E5czdexpNM0zpXaSYGEcYb1ax2g0xvpiHT/9CzfDM1//bOEg/D/OJ91N08rAk2c2wVP+IlGqzaBchN+lTrXACfosufyXvu3dN3YTx3dSDM94znnzeHG/HGM8qAwgZ5scOwrVAcC8kuAotfcTkhwc7qQc0wo7vjjoC4Q+Y1T8IqWH5V9HguM9+O6w/u7DBZU1VqjyXTdBTk+AMerDJbI0/lG8L3o29iZvCk4JDi5/VSfmnUueSifmy4ef0rbttLoctwkuql9Vz4qbUZ6iHFWYTykLUJhhncoQptGlP/rNbluP98Tfy8n0iSarYjpm2pddg5CZAGwBx9UGa+D4iIac80iSJUwyjwaOuxq/5FOsbY6acsYQEOjHE2GQMB73uHvtJYH2kQ5dugVHpQPHC2pAUVLFaTZtiqJ4llm1lwktNe4YmFFvnK0tAr0IVrrA319bD0r2V7udzem473n3DdesEXCRu7BWzUMqeCZIywgJLe3ncMA4DWGNpnxEMu0kPSTbEfHAbMzokQUbtlh1DvC89R4cP9llVSRJotZ2iAHEtc52exXH+KuM0LJa74oSpgvnK/xuGhkutLmrhLl/bAU8ar7XbKVPSukFdyouLQN0fr+TcBk8l6540YcVDnzqteKsXdjkW5ZOLq9ZK2H3anZH4OodgS2yKraWBtIqAs97NrcVubsU1kmNxJguJnjnS87Be856N6blXiUwaZKiqubiJrP0SYEVSasIsQmRMAFyMDxBw5oJO//nmNRG/ujNx6gpqr9xviiU4KoIAu2tccf73hH/5UF3xiydYxHMkQQpJosRknUCU5nJcLHhiL/UxUaZAQPePTKgO/OFAIHiDixP6WHBc8U0ygmg0wNG/hWyW7EuF3t5wKlTCemKfF5iyuusW1nWWJ/LMlfNi6hGEAfYaEqM0hWkGyOckq/iyX/4JPzwX7+HrCQ4FMqcj3xBMgDJzGI+6Xoel84e+KwIPhIcX4nGqItS5pRsa06vP8FfvPAp2H+zUxDuAw4XP0ZEc7SIWshsc4+kSa4T/SgBYC8p7lO0gdSgzYRuzK/eRdN/myW4lCGMMQ6neNWzz8RH3/ARrJZTafPXlUkp6nx1HRJ1UEgfN2jI4jRw3Agk1n2auo8vyHIVz5PEGbaIzzEbreMOD/o93OOh9zR5GnY27LDmOMHxuqRO8UiJP691XE7xuqf/LT7y1o9iUpAAFKF1+r5+tXC96ykeISdxfE+z5x0b0D2PFth78z142btfgrXksMgSKggNwfGgRULmOP/uWg2OmzQU12BBk9txIOZ4HlBuh+C4A989n6nrsuthD7+n+1HfCpATHI8jMq5raVvz9xFB8qoG/dFGaYpiVmDPaB+wHuL1L3gD3v8/z8X1gutLLoCbC/PUIs7F2OXzZoxJk0iCmYtjguP9+ubKp1fCvJqb4J7wT3MrUqfhOMLF0cX44yf8MX779/+9cBNqm7MISvCXHUreLFkm047A5lheS5cHN3cCbRpBdwCwAEImM1CSsV6XiNMISRIjLwrURYVJNEGVmwREmtH8okVRkIUfqfOJoDhyYNSO0MyAb3zhfHzw/R/C5z75eRy66BBOzfZjvjaTV0EWZygre+8oGaGqKp1RopX4TgH3gFlg4BIki98LKx69C9OgxKPn6C4eX/IEcUJTiGn+mdB8s5JEkq5N2uZ8xjX2Z/uwyOeoUCKepFgr1hGMItzjfvfEHe93J+SsMFBahsQ+HvL0AiE7Pmyd5AY7lkxmk0BqAcoVs5O/byA7vl1n96dP2AgMOud6MSVj9FvMRIDcCFks8tPDSj5WIgqThFmhpaQKHztxMuX6hkn5uIpfIaa2KxJabGkxhDwCt3EzRwfH+wJ/35hgGrI+f+aqE+mvSIB5IFIqInxq9BOjP8N+fCagOckOv64x4LhC6432hjiAZxeXzu9VVVUaTCPMpjmKJDcTCRk8Uj8wYCefC6g8jXKHR/Ik/foeHDcq5SbN8QE4zqSAOZpaX6sU41mGeObAcTKbNgX8DGr6hEuuvGwfoQ7myIw5acjJ/8m0btmxVwWZaWsgGYukoZGHA8fzUAezpC20SXUqBoOkhCev6ann1Bh3bX08gGgSQzoqDzq+rL2k5wX0RgjbuP5l73v3fdeIEfDFH0ax0rZlINuEcqwWOJ5HCOZw3RXGOLSEasvlO01/sgLkTC5Na2MAlgIz/EHpa8ZDo5yTd/+0ti8azgEJWzTrxMx3KZuyYETPtnHKQ1nAOUip3J/5l5b8O9UkPRie82aSkss3g4kRC3sC4pUM8z1bixzu2XgmePdl9nx8csONsWMbaC7sguPXiMW8exHXvhHwxXGdzAOzo64fzYHj7ud8smG4tRUZZaI0i7F3bQ/ufru7Y091ClbDFaxvrGEcZWgpOu0UxaUqSmCwZSGesJ9JAxLgU3u90+/ukpku0jBTLrXf6jupscq/azAP54huEOPsfzoba+M1HKgPSN82o7TFRopxMbXgg1uO5J1MYz32upWuKOtrfNq/1FHDRMtMOnmOyNCLUiBkorE1m5qWepOjY/tr3XI4GRbRG7V5cFxeDE4SYVnmqkB+x0LNmRQWIU4LT0f+nTnu/x/ui33VKmKyrRCg4L0r/rQCp1j7Ak56aOR4JzDHny3NBM8ouZUGBHwjsdQvaX+MO9zlDnjIUx6EebKBaiyER2M3r3JEWQayKlkRP7Yp1rGA8T6WXJ73frx3e+TPewMxyr5NohX81aOfgy+894vYW69qfqO2YgRDYHIaBR1TXoaMxTq1s9WLCpE5jgapi5dzMsbFm2S+R3nCDRxOD+LhL34UfvF3fglVUCDMQrFRl47/tzkEPn7jXKasSltTH71Flo/xmt7ccHsAACAASURBVKe8ER97+3lXuea4tiHOIXoShGSOzxHfMMLrPnQ2DkYHnayK6buyEEVZFT4HL6tiXTFLjuCOM8fFapD5YD5qBI6XmWktN/QA6JjpfNChA0j7NeU7z20N9dHdECCX2WZZynOCbF4yyFn49B4xfPbTaIJkI8K5bz4Xb3nFWxGvp6gWwDRcFbuzUedNoQ4JEvwoj0jTSJ45BCqN6OCh5j5G99OToDrZ1dQrJzDPJ1aWhboWwqDFYRzGr9/zdrjvE/4E1Skt5sEcdVUhi2KEpUHhZjZPiVJ+VQQq2do9+xbI418Mw0Jnn633MluevEjTSubBWZYpX+e180VWOzcHjislQeqyUWF3HI8lmVJt1NL0/ub/OR8f+4fz8MkP/Qsu+9EBjIKRmOH1nMx5+kwkSBKTjCkbGlZG6tCcFQuTvRJGMNBD91JWpsjcQd9DcHLzbPDPZOsYWWFvMzPmyo8jvzkJU9RNi9xZQ3PbpMwLz7WIWvl8PDVnQIFklGC92VCXBMYhzn7r65CdniFvc2EVHDPiGJTkUCMyZTcoN8TzmwbdPH94flN33BWlt985cOXvd/cnN49AX3bpd2AzYrfz3djkjFfo38eCssWbyvkcOE7CgqR7Q8sRJc/nlApUcJZMqOuOHoDk7m9OKDhuV+3zVbuLHtezuNVAfxfDcq4uYpSzGtlodGm2Mnp5uB+vClaDS64Jc+WaBY637QoO4TbFjxZnlofLmyaTFHOC42mBJrQkg0wFD47LKInDv+TZfk14ANf2a/CVI7ZE8mXgOBdAzxznwWz6lSz0x8jqDCNqjs+p40tm9mZw3FqDPBhtK7qmjpJzI5e2HMFyFpe2CY5bBZlMIrb8JWAboEwQCweOs7J8pHCSuzjTh6zjFkVWo2BgllFbuJIxj25C40LWmLUv+xer+X4T3J2+1/ZVsNz1+8ORz7+mPjWTrJZmYQmyPEK8MCNOat6zqMQJ1DPK+u/UgeiAcXUtEMSgbiwDI7ZXdeZD9o2dfmnP9VvuBq7t73JsEsmp1MbUT0pWs6n1HsoPQfuYnfp22PvMyVfvuP+IOe6KXIxbKG3DPSopUGY5SpmiOp0/BQcmj3MEa8wB457pMgwvDJjzRm32uwU9vfzKtf1x7F7/7ghcrSPg15QDx21xDwqQ+ndfWHRmxu4CfXt+QsOsWYD99X6c/dzX4gNv/gCyPENUhZgmE9RVYQxpQRpmuyVLMO4BLjLgv1OJ2QBwK34SvPWKzHwnySDahgTEEWChGRtQBBUuDw/gxee8ENe71WlYTzf0fdF6jEk5RTpLpVPJQr2AGupcqwhrRX8D+btwpk9olH9Zx5664Fhw5Zniu+KYlMnc2UGEbl/0+5T5W/RtvcbId1xHt29Zka9nOB3vs+c4pVGMGTV9VzPMDxW4Xng6vv6hr+PZD34m9tYroJIVb68kK17j55rPHXPQP+/j/W6LdVk4qOwLKoJhKwLHFwRo9kS4pLgUT3rhE/BLv/NLONweQLgnxLyeW7Ga0BhBITEEN4Nzm69lK2Pc/6sPJncueuT8YSGfxMVxO8ZTHvY0XPDRb0tOoiXQFTo9dtftpnkccT0w3qash81wKe4rkW+Q0VwQwMJJEJnhYYEgm+Ngdjle/L5XYHrTVdRtad0QO8wc5/XTLJd5TVPViJNA0j5nPun1+MQ7/vkqB8cJkDYNpX0iybQt4hzF3hx//8m/xSGB4+qXMH1xB47zmsUcp5xl1329xAq4JoDjgRnSERwvx0CZ1irAoK0EHAtcdPsuc1XLUgeiRA5I8rlYt7oGy4pGzAbktmhqSpokWrcENqtFg0k1xjc/8RW8+Mkvwsb3Z9iXnkb9CpR1Y8x8avahNI8JxfhW9OFVWPezB8ednJ4J/elSKKlF8DMNE1B2JIxDLKoFkjhFE1bI2w3c4BY3wFPOeBpWb74PP24uF3OejHamoBF1qHUiWHeGmKInEBzXGeLGyjSUzQC2i1fbFqnGjkWyBi1NIxGKhU+D6bLOMcoyjUlLWaw2Q73e4NtfvgDf+MI38eFzP4ILL7gIs0ML7B/vxzRdwfzwXF2XK8mKgGAWparWmPnqzIig4q36SpzkkBkTUq/ZazbbgaqulSNU33upFevvGhZUhuvExnV5AIqeIjHyhiWSRrr0HE6Oi0xbwxCjJEZRLFAHpc7fRVwgWAlxr/v/Ie5yv7tJx54SKuaLZJ5IMm2UjBW7vkyXWuQcdbU7o07fsbVzx8cSG8516y1a5SxsOkk6n/f10k9uH3AkDMVP3vNFxT7z45P3nthbzq/E/XkY2Nl3EZT2QLnhdCdSVsUFqJvWg78X76UmgFwgf6AO7WgRmU/OOP3U6k9OH4gpvnJNYI3bKXENe7Wz9ib5Jfkr6kurO9L4qBiXKLNCADkrJFHNRx6g0ia/C47v9OO7suA4Axhp67YGjpM5TsZVfLzguKRLCI5Ts5fspaV5Dw4abJSoEoCkvjjBejpe86DhIaNUatMB4jahwWZUJy1yguO8rpSAZCn1SaXCRjNTUKKE0S26XXB8p2fuzn+/oBhX26s8OE4OUp0gW4RI5iHiwvSuzbzKdyA4n3t3JooRyJb3tFK7MVnjDIjUYkVwvJt1drj26YEDXHd+KHbkCoz5Qs3UWOB4WAQqRhAcNy8ERtnu0vo4xYpeLqk0VoqxZcTCorcCNd+dqR2Bcf8ctPp9q5yCnE6IoLt/BRObCn62+bhtZFPgcWzG4Y4M5+6X7o7AtWwEvEubJQpDFrQFxs4rxDNxPIbcJdyGa4yDEarLa2SzEe75W/fA/vYUTMqxtE8lCyFjT5Od8yxqY83yf4KsLT5woAjPBBMPNI1UcmNrEgQctE5oJWGCQdPCEDJf+9W7/gru96Q/QbWHTLFGBsJih24wYSZ4Z4V6nQUiLrDganuQaZsf+ei0pzm2uQBy/qLZc2zovZeI8sZS3v9H+yCZTA789p9sRVkbWf2520OXy9C9Hi31a/OgxDhewejwGOe84hy878z3YJSnYt9pDPVdLCxQZoUFTdvYt5MACdYli76pME1WUZY1JukUc4IZaYW19jBueMsb4CVvoMTFGtqVFhv1TIxnSQ2UJaLoCsCXKxqWncfGBa6mJJWUFtM/+B4Pweybc2SLkTHHeUyqdd+6pMR4JTgeBEhrA8eNOU55GrOsJTjO285DGtElSAiWtQuEoznm+zZw1nn/ExvjuSQjKKGw05rj0n8O4yPA8bOe/AZ8/JxPXOXgOJm4Na8hSFC0zJMrrI/W8NZ/+TtsjNa1ZrXUmth1uM60ixk4TrkXp8O8zM694+A499RSueB8bOB4IaPbEmgqxB4cF6mEXTtuj3UFyJ45bgQme/n9yf6LIDjBXRk2UkYlG6uoVeSFyBOTZgXFxTkeea8/RXlRjtVmj2QQKaYVpykWda7xNmDcSxs4M+MhiOULhx0w7k8gx2eWtn6DoiaQWmLv6j6sVQeRT2Z4+FMejt+802/hULuGPC2RIzfdbhZuxJLmVmvyOl5SxTpmLAJdFtxVDyQZrY40otPFdT/56URWOBnhdV5hnE4kUcqOkjROURaFeqbY6cT4++LvXYpPfvBT+Ni55+H7X/+Bis57s32Kz5uilUwKrzUOYldYNG1tk5qhGWUrFaeyLnSq0ryylK6KAeOUp6B8A40OY3WkNFhgoY6K/tl7Foz/m60nRH9WHgsyv7JLyW/vOhYj6+5iN1FFua0olPzMopjrjGGHUjANUE9q3PU+d8Pd/+ju2Kg2EI9jK44VlreI3FP1hD5KbfC9xCXEHGeOKNKUTJbUdbLc6Xtl73L35441AscCx62Yt2V2DWI1eZz4TqyWwvp9Ab3/F0oasZ5n5rN+kSr7955WHc97yWc0CBsdN8K1tfsZZYQxn2dzr5DeOKVhGL+yM3vOU7890O5LXrHnppMXBUFw2ZJXc8Lftp3Y8IRfjJ5b2+6pL63v0l6EFyJv91OvtRgVWExytYeE1HVjy4iCSqu87L52aAScxriBfFfMHJckipI7BtIjjOcpknmCeGHgnz1FF5gMmeP8l4jalJUxMLMazahBRbPBbYPjxlvRYelZ43mCkDqBlWk89/pMmmw9Y9yB8kp8kxbF2JjjRWxdDhEPbccUEDhO8NMR4m28Nm8gO/QEd792B0dAbfUCxwOUckO3lqmM4PgsQDILxWYmy0/uQh4cV3BvxyeDGzH8CIazMJPZ7wyAVDxSu9XgQPSVZ32vL/Ts4CDs4FczuY+47qUzHhj7oggQVxHIWJOeLuNxvzV5gNyBZt7IjuZSYouzfZHu8LEZ8rbUlyW0RZ1fySnwgxyD0oNDW9qaDWy3Vx8g9Vwni3N65pM9xd0zcAen0e5XX4tHwEpbzBe8CaePQfi3ps8tvmHHjvOJiwMvylJapyvJHuAgcNazzsRH3vphrCymSJtMcKyB42QINr2WJB2UtIMT+iZ4awCODDilhWpSFOJ7B61kQWwfN71wGUoGIRat+RoUqzOc8ZaXY3yTidiTjMZY3Of5QWkREpyDiuSEEC1BMbIXyXj19QHbcDa/FKgYqMnrF1DOQoGntZN4Hhv4r1ZeaZZbQVZGpirMuuTMJ2gqQgy/Zvm9S/v3/8/ee4BZclXXwqty3Xs7zIwSoATGgG2wASMQFjwLCRCywYB/+bfJJopH/h82ILJtwGCCkAwmSAgwGZGDAAsZA5IQyfazbBOcyCCUZjrcW7nq/9be51RV98yImdujmW7pXn2tnu6+oerUqXP2XnvttRineR5yJ0eEGAvZAp7z6LPws2/+FIOCbfxa4OBx81q4XNfNuDL2syXK6aYw5SwaVE2FKBggLwiyOAJM5XWKJq6ws7oej/+TJ+ChZ56BiTsR87wcGUajGOPxqhjr2RbnPR3DHkenn5ROP3zTnXLvVSSVsMuSpoPOGDjjlDOwbbId/jjEKB4hTScIZI51QB/jY54vwXG+XiNwBcc522MaDpI57vqoGh+xM0RRT+DGYyz+6gJe/rHXYZe/LJIRlGc41OC47NLCyKMjWrNGVuWyj15+o2uOExwni9Z3A2GgUnN7KdiFd3/pnWh2qIySguOGOR5OZB0KaMhZW+b4lFNhk4Dj7GZJBo2wx1kcKB3NvzyavxmPGMpZCThuOps1rzMGyHtiDpv7iuNLMIqFLBY6ySCfTCitEmCEEYqfVXjRU16Eq79zFYZFLIWiuWAeeVUiqamvr+aSCgwpD7kV0uqzrm4AHKe0C0FxznV5A35Hg53N9Tj9iffHo57xSNGsZoGwCaGyV66aLmquqSbEVqZBuKqWqLWB9UPkSE27kzVW7hdbbAe4z4Jk6SByI9RpJf+eHy6gnOQClH/+Mxfj4os+j5/8909RjRs0EyCuIyzG25CuZgJki/wJx5J7DtnVVSVM+saAyMyH6qpUfXWeOc0/mVMRLWeZ2UhSMNcn29xXjjkSkJXdarjqWqyInnxXINJujh1gaZ+yEc8AiTDYySWmxbXo2ct88z25p5MyRUOTRb+CM4L4rT3rJc/CvU77LSSYqAlj3YgWtZ97cDMPAQHyMlBdan6AT3XIXDyPiJtQd1ywGK4LLHDPwPEpF7+Nv8wC2Zy7tiNceeScf+vldvsdZHZx4paj8StjwT4zXJnkEvkYuRV7vCokpEuPTvKplwCDZ3XpcZe56qfZhFk10nnPScdk5aApG3iFI9KxCN1/9W81eqa/DV9xHJqSbI7HZgTHfazgl3EN/qa8tj4VXo5iUGA8l6IIaWihN3RrUDT1ld0cF2BLH8VewXGt1Gp7MI0hjF54C45HGKQRwiSAR2mVXwSOW1kVtgeJ5viBA8d5kAKOlyG8jBsMJRU8lVnhirWmqGyAqB6TjLFBGTYohjXyiPrCOWonh2+CM21vclFJcKatyjNwfEvP+gN28BK2iQw1GYCEYBh++4hKH9HYgTeBGooRHGdUzOeYLsa14HitoCxNOGlYG2jrHMFx8ZizjaRG79omqzd3cJzrDs2Beb87RQMOF2W7hEVec/2yg2e2yXa31CKZ1XAUUFwMUAuUEY3CTPCpAlMqJ2CkVPq6OMImFdCrM/rrg+P9AEPfQ/XKrYacZT5tILw5YHN59kazEdhqI9APfrsWUwuOd8C4pCmWfGMYdyqPQtBBAdGG7dqJj+FKhIfd54+wMJ7DNn878sKuE4z5awFsVFGU1oN8ZwuOE6jSBIesW7PiG1Z5DdHUNrED2dBBJSsByL1rBtSd3YnHP/txeOBjHohJkCJn9wp3lBIICgdh5sAvaOhE/wQftaMeFmqQtIcrZzqaWB9UUzPLBO8SMym8GiMoguKqfWkAORYLmYBbk0+DwvfXKmUbdS3s+zt/uEZ7JVmdDbyhh2wpR7AzxJN+70wMdg0QVyxOqGmfylC58AhiCkdZ+PqGjjFdEsHjD0QpW2VxvDDAaj7GgEzIwMFysgv+go9mAXjpG16G4+9yG6w6q0gxQRg5IONdORL9mbiejrWulrCuU/JQasZKx2UZIKpCXPP9q/HE338iDi+OFM1taiRXZMYbnXwDRSIz4DiZ5ny9Fiqo3c5rUSESDfEGmRu04HhZJ2jCZfzWH5yIP3r5YzEZZJSaFvb4oZZVIXZmDTlFHQMlhuVca8g5EFm8G8+QU6V5GvheICzlalBjJVzCmy56IwbHxOobIOA4DTvpjTSReEPinpsEOE5WbIVs5CAJS6QEAd3SgOMkPumaekPguJAX2iXArP8GrRKsQYDXBsPBQEAo6o6PRiMs/WAX3vuq9+FrF30dUTnA9mg7spVECokL4ZyaTsqiRr4kNcb53oz1SJjIjF61YXDvBRxXzWwFSjnXPV+LreNigtvf45fxjDc8DYNbxaLfTyNLAucExpu4Fga5rnvqqSX3mz0vQ8rYiCxfB453fhkqk9WRcaqsxigcifRSxP+aEMVqjm/9y7dx0Ycuwne/8R+oVkqUueqqh24k5pKNKTSGbqjAn5HpoqknBVMItPlhhLSkgSU/j3bX/AxfCnJ8lA271Y2fUyuoox4PrC9wB616UoZr12GdEP3/d6i5yitudP/ifs5CDsF8z3Hly6kbYY4Lth25SN0cd7znb+BO9/oN3OfB98HoqBgr9S6RbCTuz/2cMpwsUrqJiyALVFpFTPkUHOdnEJfgnKAkrXhTteC49hXPHgd/BCw43u3wuva0AHn/kNoFSnNPeZ4A41p8Uy8Vq+mtRE7t3DNa5KZzzmSkvbire7/9HgELjvfIemuiFSNTqEUylYwl1sbiGOWVqH4V5t5qvG14AY7yX+XMOVft9zHciC/YdOC4ueiL+Dn+IPtxcbZX1wvUb03mM2ShaVEXGEkXQDtn1p/Imht+bRakr+sN6mxxmH6G7UlWRUtWCo4zDaHeJRdjVVrkYh4izAMEqQ9/oiaYplzWXRlWRO1hibaSLuoC/lFfLigEAGw1gM1zf9G13G2eEByv2Y4UicSLm3hwacRJ52cmr6Ybuuty0cq0ZUtVXo2K4DgBe5py+tzsqC9nmOOWe2Za+qyp14w5Pv2cu6m8cg047rCJnquaj4gt8WMH/hgisSIOj8ZQiGbkvFnUa4GFQgbDZCoXyhrn/UFdOUcdySWqZBhogsAuON499Nty42od6E2bvgWi2zMTRmO3+duKuQ0k2C0yyGMgcyTB5QYeuPSv9yhZKRu47xFEsiNjXTk14Ci4JgVaqGsEHDcAOceeFXsyutgCyuTIJibS0q/GKZJIkL1hmUs9+V/9RAvUdYZ2whtvASWj2TsLb7fc1J0d8KEfgfXguC1MaTFRGeO2AX5tfGIBDTXNUrNLR2TZouUA57/srfjHj38TYRLDRSQvLd1M4iDpJmNHGiJjx6lgoGjBGpknxh1c5gl+c20oaaxFgoCYBysbklraAln7DtImQ+bmGN1qiLd/6h2YxBOkcSbt91zNgtJFmJHl68KhQaV4vKisCpl/6+FpguE2+WLi1X/0f+KWwjWQ7DfLGm/NoQiOkykfGuNN2yHTW7PtCrcvsfjuIDD3NAVnK+rYhi6qcY3vXv4feNWzX4nFbAERJTlM547smSKhpYx90aM113d3yvy+zU2OW+T4SBoa5Y2ELUqDSOpAZ0WCOAoxqSbIghz3+J2T8Ccv/xMse8vwt7nYNbkOg1GEmkVZo0+jw96NhrI7+xFt/999RuO+He9GnrWnRJHHTWNBL3Xx3a98Rww545UR5jCPSToWgLAkYCd3ku7FLBwzaGdXhcqq8G+c45QhrBA22vWQuyx6kDPqgzBfOVzBI/704TjxsSejnG9QTCaIw+iQGnJyPAnQK7A3kPu1rDPMVfN4z8svxD988IsIBRxX9qow+8xF6CCp6YtDMlvE84SMdR9plQpzeCVawes/8los/tICqlC7OHjPs1iVG0NOAdC4DmxQVkXnZ2e0ZsEY/p6mv5R58BMffhrBL1SqTu5lY3egyOaeZZ3a+bqX5L6h2bybSj7IMC6PamQeyUmU2qhFSkoITsKU7vs+WeakGlWqcZ3RBjF9eSo1xQJWiTiOhDlel0qkomFkupLhwrdeiM+e9xks1tsQYYAszTHnDQXkzMtEOorykvC4uEQY3rgppTksa/Kz9XMkJlXqg669BkaXnFnAYWbSvE8q1GGJwWERXnDuWTj8HodjBSuSw7LY4YcBJtkYGNDHSAuqPH/V2rbguJ631TrXVccMsgHP9zYr1xc3FVzvcgkbn/I6c35FTghkwGRngqt/dA0uuegSXPaFS1FOSriph2E2RFRHGhOTOW3+6xjbCgIKZEhWNW84AwyKFabroigr0N6XRUkWzaq6kHIEjTlzAZq1FCreTNIKSrY2tyzuf2qM2q2sNuY2HWXmatjz7gOOVkdZagHt8/qrbBe/9+N5+1yRNhk0mGSrwlCnjEqRp9KN9ct3vAPueMJv4N6nn4xb3e4WGLMbfcHDUr4TTVjCix1kWYoQoXS5soPKySjF6YmcGrtfpTITaPcZ2eIEx+uoQEHyFA22jazKRvaF2WunH4HuTt99ztg7Sue+TePtLLU5rfpdSWeKyP+qpripuPfAcSVl6qu72LX7/F+Emu35HM0Sqe8qJAs9Lo1bzJ3MNUfAcZqn837zpHDDuYqCGEb1b/NHb38ajsDXHcdJpx/NA//KzQqOu5jgzs01eG1+TX5qGPhYdpaBBWo7p6KpmCcV4ihGIwuqLu/tCmfXednvuuXcnqyCtnaJWt++cOAH+ab8jrYdZE/Ji14Ve8PYjEsdd8XMpwjhLQcIcjWH0cYz3kfKpiQrQnUL2QrMCig1vQtUgxLFIBdwfE360LvuexrzdrLbtcAwT4ImFLaLO/FE45lMD9nwxAVeoxQLLtqpxoSQ7U50f2erkrQ40fyCwQv1xhlw8fCN3IwdCWuAtS8J4U153szOzXRIynyngQzD4kAKM0HmIJp4iFisYZDD8r8WX5Wpx64EmVfckdguW6OkEWxcigRV7mYyDyUBERkVtnVqkiCbrlSTzet7OrBb7ZqIXAHbEhn8G7a3OLWL/Iy2+ktbIlu1CSqJVi8lUyijwvH1Eaw4cCtfwC31BdAihQ00CELpUBnxRoktahROg9RNgW0QHVWrs6vtpf02TaOvu6aVrWdYJItkF5zsOUzpt8GtLexuqC1uq13w2fHORuAAj8BaiLFneGyDSZuctJ9rUwotUrGELsaMAdvFG4RphPQHCZ58+lNwWH04wiqWV67WK3D8RhLgLMmx3TtCzN1K0KBQaQP6UFiiOy4r+2JhKNPuraucmI/lTSmdR6t+gqe/4uk48YEnYBIvwY0huo4iGVex1Zrt5Y0kJfy9y1Z3MhrFmM9GawZM6qLqljWvdcZOYsZwIAwAY9jl1mBTiGvcn4xBG38WOwUjDaBolFlcu4sq69+a4EjBPxuPcbPUnx3WGkQ6xvciJHmJuBngU3/7CXzkbR/CfDOUgie3PUZk8rE0Xm8BWQVsNWmYLjnsy1uJLZvJNQTEMYapru9guVxBOarwnFc+B3d9wF2wy92Jcq4QWYCIwIYxpLdyB+0eLePTHaN2DKk2Pr/LXzYCbvbH+gaGYG9JogUUR+UIX/3AFXjrX5yPQTEnRYmmLI1mvpogUjNfGLogcMl4hEV/6orrPPYc5nFajOL+S71x+d4UqPwcO4Pr8bxzz8IdT7+rsO8jAcmUNz7d1TsAC4m5UZuqQeTEqIoSfuiI5vr7XnYhvvDBf4BPLeBa8x2RtugXPw7EIYisj4q7O76HpEhQL9b4swteguPvfhxW3BXxo7FAuBQnGFFyPRAtbtMNO+Wx2PNRaQD1RuA8Fj360hfdf5+EI3bkkuhhygOMshTYNxaZNg7tX0yOr/V77C3Ucv83jhRa8jgVNiyLAjX1lZ1SSSEsCBi28fpTk8vWpqN9o+Wuw4/jJbeH72B1sozBMBY5gLgcIEhCfPb9n8O7//o9GExiRKWuodZwWD+vl2SuWdHNui1mkZa8od1CXJvYicKH8KMlzqzR1C7mom2YZKkY2qbDVZzxrAfjoU/6PSx7qyi9qv18rg0KWtnzMuCa5XXYjNnE/0VViLST57BYajAUSTQ6LwTqrY9GQ+zatVPGoaxY0NXV0wt8lEUl+2DQBHCoI1x6iJtYmOL//s1v4+tf/hqu+OIVuOYn18g8FENS4/UTFGqQ2X/sKyjFz2e8roC88vPtUat8ja4QrbgXZb445kbqS/YDFhXMmPP5pjeznac8LsqP8RJWTYmC6xELrp7mE2TCswOI2uqUQ8lppslcw6N0GVBVNaIglutTkOVuTlQKgmIkO9E8wq1x1DFH4t6nnoTfPu1kHHPbY5C7hZBvxE/KdGBJsUMmr3Y7CElUCDfsovIR0qtq4gi2wrxRbi9f5VsKl1hFjnJYIY1JoKIMjZXbmXIBmL1sQyOwt7m+5z1t3W/bNbFdhU2RzxxSD/tcE1dZ0G7NOrX/p6GyonrP+OxkZIFLCnIGzzBzWDoUHgAAIABJREFUEhV9GyCyR5EboliuERfzvE9Ww1v4r/EX/POdkfOz/T+CG/cV+7oO3bhHsYd3b1aaIzHBY9Kf5i91K2euCnIUcS6GQ2mTShsrW8maWt2CLSuw3ZYsC0+AIPMB1qm1p/m8xxaGg362W/cD9w6Od+fUpX1rz1PY2ktkkUeyQYr5pQHHeZNJlZjMJhN40FSJjPF6WCEfJFIN7QciXYK35/Fs09oOp5fNihIqdJgXhkNGDWITNDaaVAkzQvqcLLiogVhOZ/hBJjIWdBGXFmLTriuxhWD7Gr7rKw1LYN3hHbLgfutOu5vEkXNOiOomzaqkpY76sB781ENMBkDuA8IcV0DBguNiq1Or4Wvj+tKVQTkPKRpFubBnLGtcjWg0OZO2XwOMW/M04TKt2Sy3ztBK94ZxNKVEik1CeQYErIRR35cjIJOppCafL9qQZFPS9BRMhFxK21D+yDA4TTWcBtDa5cEoU5neZHEyt8+p9TvKBByfPWYjMBuBm9cICOOXSYHvIHcmwv6in4q/M8A7//xduOLjX8WwHGr7thgkl2qeV/lYdLaBwISNF6YbOcYbBeCxQBogCXMcfbej8bp3vwK7vOuQNKsInFBk65xaWZsE5J2qAdUtgpIJtTL8NG5WtE+8FozGa9vUYoOUtthvjli8Muyj11lj2E6dHIv+wuIvAl0Ywyj7Dgr29kfC/GA7ZQQUM39XfzlhLHl+jIqKAg1wzgvfgG/+w9cw55C171JRVjTbrTl6KAZywis1pzY9ON7xLRUqsudGGQA1qnOQIUcUh8jDHOEtQ7zhg+cCRzq4trkWBXIMGsqLCFRowG4D1xtQXAFlPca10lpK7xF99w3AwxuJ3wVM8hz4Sz6ueNcVeO9r34egHCKQuabxCceIGVpByR2nhl9Td1+JAIx+RJSI9wS7LY2nCmEn7ZZjYSNHEWVYnhvjnA++AaPbLoj+bpUlQkDp5tN0d9CGXmUxRBoMNhHqsoIfAmES4YOv+DAuef8X4FHvn2w5icF279LYaOyvY9Co9qzroGD3wqjEC958Fm57r1/COFoREI6+NTpfyJxVmQ1hzK7zPNmf8bDFEV01FHgspROOTGV2QAYYpgqOO5maAFMDmuEU5aUEvDYgq5CPrMOvPQhbfBAUUMpjCvYZHXHqKCfDRAhTNv+yLGHmYjb/sgUwC4qvBcctQ9isfcJsV5kCWRMJIlOGxg/QjGu5tl/++KV488vfChaFBlzvzfq5P2On6y2LRlocsOA4oVr+hcAlwXGSNtiVsrS6itgfYuKNcZfT7oinveZMJMOxhK4dK9QM2JrqYm9tXlMI1HkTxiGSNJVCIrskQ48yjpwZnoDCZMzzK4pCuVKuRykS1bH3ycxOC4RehNiJUI5LbIsXMb5mjMsuvgyf/OCncNX3rkKdUN7LFWAscFiU4RwQBwhhek8LQqkUmubVVmpQV119Ty206bwRCUSZo7aIq3sHuxvMzFpbzrASZ24g3SlWvknmAwtArppth8zZPE9MmPkfO12CMERZVmKuGYWRkJ8EGCeQGLBryRRvhoAzD5x039/CqQ84Bcff/ji4ZPyzC9Vn2bwQ/Xjx85CHKYxa+QyzR1tyFffyMHUQThwMcnamhdr5LnOE3WsWHC8xGRbIKT8k+Mq0V2B/Z/zs+TelEVBwXO89YmZrwXFd7xnrcidvqhwBn0tsbeLCnQzgRd53guPcZ/iL/uWO4ySbbWw27V3RNE2MFdytvqp+Q7KS3tVh+zolKxYgrYrUmxLNPhP4yoZpFsU2jt8t2O6Gv2+0uNEAZbNd1IN5PBsJrumYHixHAo5z8+yD42z7orERjTT64DgDIoKAZAzIfGi1LHXzMHVyDWy6LcX8y4LUXRudbPI0QExi+Gkg0ipqMqLBg7IPWNhVFrsyeNWAjzpeZLBTxkLNUrgBawOXVng7huju4HhXsZnNv4M5YzfPZ+0ZHPfhJy7ixEdYEBw3hl0md1CSBZki2jFDnVp20khHBZnjUY6c4LgEYIYJcxMFx9uAUZhKSqjQMdFgmEElA1EG+fyPHSHSGZJ78HIFypm8cn1RsyYFTfhQEyMlNjIB5T8qJizSMVIDkYsqqpEHCUrpYJk9ZiMwG4Gb0wgoe5mMMQdZMxFYI6gjzBUL+N7lP8QLHv8CbMd29TPwub7UyMocg2CAqIxQs+VbBSemHDYFx6MoxnKWohl4Ysb3Nxf+NRZ+eYhmVIlxmWi2kiHHtiMmMQT0KRFQunAzAhQd61GlH8T1zQQ7XRQl/1rD5Oy02Hc7gZa11AGYyl4yQJ7RqVRNan21ZTd18ZAjWr+2xd6u7/o2hjtN8JgSHKWDYrnBs/746RhftYwhImmrT6k7q73G4u8Rmk4q5Sl3nY3TXYCOByzgiSHkqDmW0Y8nm7dKsNTsgrvNxSOe9Qic9ogHIB+x8zGDS5BQGLwauyrYY8fCmMEKMG5BJAuQsC1Mi8CHEhynnAeub3DR2Z/Cxe++BGE5FOCVIhBqt6lhc34D4Dif4TeFRu8yDgqOS2zvVhh7q4hvM8R5n3gbrg+X4M05KIvUgF/T8v6nu+JrXrUHcNwLGgFQP/TKj+Li916iMceNCI4LUcJ35T4Xxl5TIx/keNZrn4Ffv/+dkAzGhxQcHyQqn7keHPflJjcSlYaxa6VM2jFeB45blrntJqaEZSrguOZfJC6IgbE12hTeR1f8svdQfx3R2SNlNlOZswU8veECP0A+zkAe9AIW8G+X/jte9fy/QrWzRlREGkOuB/X3cWrJJ4u0BVnACsaL6aSoEJhk03oaNCTAlBgdO8K573k9nCMbKbiVNKVs9YUt+aVbEdbnwFaST3XYqXmt6xalYHwW9cj+LEoxyuQ4cW9h/qvgroMkz+AHIfwwRJVUmKtpQkrGe4B//ccr8dUvXoEvfu5LyJdzkVxiJ+zAGwhoTJnCquC52gsrtLMNgONdcVALHh2D3JQ61nVq2DKjyRzM3iNFCs4aGQvFlOwizLyBmv48St8JpJudxpmSXxmjahqO+gGLT43ch+qJ50gRoWzI+mZnQ4MmbpB7GeaPmMc9T74n7nP/U3DssccgHsXwIldk0AonE6Y4cwrKJPlR0Dsew2s3XSgix8P6vCFXcZ0JEwdB4iDK2I0fyeJr606UdqvDDOWgEnC8YNHMjNk+TtnZ02Yj0BsBjVskLBQ8Qu8bjVpUCpb5c0T/kCTF0I/QpA2awkWZuSuDbcN3Rrf0XuWMnJ9uxmHdtOC4DPJqcxRWcMb42vFL66o8UsgEdKV2CriRJ+7c6r1gwc51HZmy2/SCzXVXQP40QyY3NC83DI6vRAiyUGQR1DBE2QSiG0dZFQG91G1aNnNqjdP0zjC2yZxRXTV7KfWCry+GdsoFvQZmw+SgmYUwxwmOlx043qFtamjTgePUeCY4nglLowwoo6KImtU208DeHpN2NmgBxzIUugRoNgU3NAW37ItNSC4TQZr0yH5mm2HiIkp9MboCjVU4Z1pwXNNNsQGTNiYHddCgIjgelRIwSzueo0wFtjCqxnafOW60Fk1SslWZ4xIqtqydznhN1g9p79XClgDjNe9tH17qwaMOKFmT8lqVUWlLqwZkl9+0mYUGuGxfLTxqPkK+GPAWTiJr1ewxG4HZCNy8RkC7FT0pnlXINAaoPIyqebjXBnje456Hlf9eRpB50l7tuK6aiTkeQhqkiaFmtQFwU9OQIAiwXCSk8mESTXC/h90Xjz/rsUgHCVInlaSfXhbS0k4WeaUMVhYG3VT1aA1BUuS3PKEEmTVRcHsVCLbguBqLG0jJMLh3v/Jm8eSg2G59y9U2C6sYxRmDYft6C5DbgI7AhCUWtKCWchfMAl1JbEiJjv+88nt48TNegDkMBfiXdnopeuo4ESMPTEtfnzk+vbBixwRWcLwDpYToYYJQEinquMJSswTncAfnvuuvRR++CAs43E/MiQlHfF1GJlIjdihlUGwHo41zNyaLsZH4XQ/WwSgd4eynvBbf/tJ3ERQD0XWnYIpy29UQj8xxzkOfQJPE3ZY5rpx5T5jmHEPTctlQD1v0P7CMJdzhPr+Cl77pz7ErXEHmpggDglRkQR/CFK4HjrP7lBRRXk+C4x97zSfxmb/9nMg23NjguBd4Al5ynEmISMIET/qLJ+CeDz0RyWBiwHH6DBxE5nhFY/kQw4Sa4x6cXETthITAh2c9E/SoVY/bMuv7iG4LkGte2D0cIUdlc5l0E0sI59IOVXNHuRNbcLwjTsgdZIgPbZ7YMsVNx7B0HWpMFxDWzX24qx52fW8JL3rqi5Ffx46PAZzcFBo3wLx1uWaIsZ6uqcISdlXDnYQsguTcN6phieua6/D81z8fJ552IpbKVRQuO5Z5Qlog6+u9qyFfb7RM942V0dAl1EFelyKNQlC+qugHQAkEX3JvygWRUU5PBwLD88MF5GmJLC0wGo5Qj2us/ngJX/j0Jbjsi5fjR//zQwz9AcqkErmuKq0QsnPJ+O2oYJKL0I/M59UCPE/7kNKK6ZyxxEgLkCuMzCnQcclVW9w+U3NxnSnG04yzh0B2z6xUfIfIBndD2bdFVYyyr2bXljzfY8cGu8BqZdaLsGoJN1DAm7KrRx53JE489R641/1PwtG3O1p+J9eW5Bwh5VCsxfhE8ZqyesT5TLBdNgDDjjfF3ZbtLVr6vDN0H4/YDTuhATc7aZmk6H3Pba/2CpR+JvhJNixFFvYQrp7TXvbZ6zbNCFgEg2uPFrd1XqqnjezsdSXguJvU4p/m5ty3m6YK3H9bPHLumTgcX9uMrHETaW2akd7tQJqmCTHGHbJr0r9Kdk1OC/zQYwjgDX3ZEFM6Pfi6TLVLntEnXP9m8oyeLLmtF88A8o1d/40E12SOhxOC0n5rgqnsAWMiY/ospRAr7M4GpV+iYMU8ztV5mbIJpjXNJlZ7227ttbb5hwYKLryc4LgacoppDCVUqFknxXyWZe3uYshU1BZ3S+RBhmqOhnxqqiWmVNas0wZ98mEGEjfJhCY72vS1PojZ2NWYvXorjYBuLVb/SYELN/Pgpi7izBcXctDMyciqMMDRQElTewnqPEp8EByvpINBCjZcJRk00qhJzCAtk63HLDkAbvWHeqzVUIfgvyZ9qnfGooCyYVQ3nMB4KPc173OfxnS5h6CijqCnir/tcwkMmUSqJRRposQxLdm9FNYCjNMcWD7PGPwc6rGYff5sBGYjcHBHwOo/MwHwfTKilcUcVDGiyRCff98lePtfnIfDg8PE9FeSc/pkVQUGLlncBHM2lp76whal5mkgYMkqxhgeM8J5nzwPS9GSyD5R9o1xDr0W2CUn8ircG0QT0lPmeNlIi7tXUXKBhF22wFo2pQEsrSyKAccF5LISqDcw9K30xToNTHlXS5Xuv94GaOsDuT0GdtznFFz75Hs+gwvf9n4Mmhhe6Qhrj2Cc7S4lK5LyBdx1pVNI3m8jworKstcd2YDjyu5Qtj6NJ4MA43yMhmSKsMCqt4qTfuckPPvP/kTkQrJggspj63wrntKORAf46K80ftXfdkWEQwuON2WDw50j8PQHPBVL/7WCsB6Jmb0Y0hvYk5c4N14cNLBVCQ0WlTxhPUrhgt1wJpMTWR/OUTGizZAEE5z2x6fjYc98OPKFEpNmjDBgwYmklOlLGxteLQw4TjxTNbx5eQrRHP/k2RfhU2+/6KCA45Y5TqDPocRDmOCRZz0cpz78PkjiichP8l4/GOC4ao5rXEZZFTLHBRwv9gyOC7ArSK0pNNmE0sZfZuILwGfyJXszEAPIDThuyUgqnaF5mLkRDSmpA8jlDjJridKW1KRYby+N9yqv0PgxdzFfzSP7cYHnPfEsLH1/WboOh/5IZHSkuDflRJLajzFdLgSg1a5EHhMLKiSMsQejDkpcH16L0x5zfzzqTx+F1CtQk0wWBsI0Xi+No8KAZs0w5ymwcNtd2Zch4V6gps/UN69YxCIbmWNBLX2fnPlQOozqlRKHRdtRLGe48hv/gve//f246ntXo06VDc6iqzSsVo6YkQq4X1Tw2LnJDhOuk3Uln1e1Xh5r9cb3Zyi1oMDqbLcxdN0BOgbW5lRzcAuZm71YGOMqmMKCCiV5BBw3/aMyhrWDwFGN9KbW4oxIwzi6v5REywMWGXLUfg0nAnZOdlLRBLe6za1w6u+ciruddDfc7tdvJ/vwUrYLuZvDiR0B0sk6J5veAuteoEXdvMhVy9w3hoYtM97KoJh9wEhLMSMMGkpFuvATByGJfhVlh7UDTLppyUj3UxTMEwcl6qjTX9+fcZ89dzYCuiwzPmQRm2sGDecp90pSgILjcvugkj1QZH5WG5Ewzut8l39Y9I7BEdFrNytrvI23NvOlbppme3Vd9aDxVasvD+rwuKKoMFiIMfbHKPxc2HyyMbayKrqNrm2d6gLPdu817BOLf27mMdjMx7YRcJwsbQaSbuIJY1aCapsstQCX7TWlPh71fgth3JRxIWwcCwRqmvOL5ZP780LcvcmslQ0lFGd1urgLs0o0FbRKLEmwJIpGssGrZaPL/BzVHDcchjamfbhtcTPBmYnkOk38TuNLE5yNJTebeW7Mju2GR8AG6QpeE6SgcZEHN3FFUoVmL9S0lYloiXwtOK4GV2Qys3uuCWuwzZRSP9S2FUaFAceVTWFNvCzDRA11trLenJj6iOwMb8/CnDfBcRMYC2uLwHgIj4Wv3FfWOA13eT+7DjKRX1FZFrKZ1oA9XIN8st7U3Z0yKvJFkJzGT01J0sjG0K3ZTTIbgdkIbNERcOC6Hsq8QOQ7KMsCTiSVM7hJCFwL/O/feQKG4wFGzTzqgkAQ261zDKhTXmbCTeygjP0fBoVmagFjCRRM6kQS36e9/Jm4+4Pvjl2D61GEmRqWse26jGSvkW2FIBbjH8puCTAO0MZFvii9wq/dAHI1fLNhmpWz2u3I1wHZGpsZEz7z5D5Iteb1ewLH7futB8gloBNndbz2BWfju9/4DupJBZ9VCDgqG2AafQmOE8yS3/cgrenhVTLfyZHukSIMUCOmk+J9WmAQDZAUE5RBhbEzFubeq//m1bjDPW6PlXCXkCxUC9dKOugAmObDVi5Ax6gz4tSfp2deyqvNWPfwpd0uZQu0rfsL502TN4hXY5x5vzPhXucjwlAN90T6TaFHRsKFMeR0GzL4teOCIKoePf/VgeOGBiy6vkkzQTVf4gkvfAJOesi9kY5yVD7BQS0rHWpwnEAsz4fdpzTlq6kxn8b4zF//HT523idudHC8rzmunusukijBH/yfM/C7jzsdk4iGjSyOqciNZUQrqWBjhpxmlppcW0FpguMCSQo4HmIw8cVDx7XguPhIqWSdJu0GHDeTUQuOu8PNWmDr2NG8jcsgRz6XCw5guzZEf9t82bvDrjP99cYeu4qX8HgVHFdjdRbVaHrvYlgPkf0sx9nPPQf/ccV/YlTNYTFaxOqYGuAh8pJ+M9PdgzyGwJSEmEFSsk/ieQHH1UOH91AeTrDwayOc++FzcI13LerAxZy/A1mWo6IHl6M68np+ml+a9NUUHbQAKCtHSx5UlidZ3dTG5uk7IckiFfKqguP6GIRDFONCzDXjMsK3v/4tfP3ir+Cyv/sy6nEFchMjb4h0ksm1GQUjJZJVlrBIKRIfNYuUanPfFhKlc4leGeyo2v9tz6wa4vBsq4atuWtX8NTrImNipK5k1yPrzUhZUYZIgGOS2ayZdM/DTsaSz691jRfHCu71dYm0zkTeN6k4EFzjcgx3DHHK794Hpz/kATjquKNQOAX8oY+8yZGUEwHF/YEvLPE0Y7eZKzEECwgsHNDQk7It1LinpA313m1R1GIIVszL4h0G8RJD19B0HgfskBXJn1A6q7QeSbxEOy2KuBKZF+YxoqNuHtPN5Ckv4OxlW3oELDgukqMGHGeRkVGRNfR1XAde7mC+nEexq0DAjhK/ujI8Jniuv8P/8mZljWuktckfTdPQVef4/Or8L8pd1R86hRe6sSsuvwwyyZaxzGEFyM1GYMFyxc3btlAmJwJbmjPfa3C/ycdlsxzeRoJrAlthFsMVqQNqAvf028xGJeCdZW6LaR61ssgcL9EMFRCkIaENhLrix9pl3oKAfXCcwQcrWU7qwk8VHOcxyF5howtWuHvZoDC/XJVSoYRFNSoFPFNWg+16VR25LmiyrIg2hNHAtGWOz7akzTKfD+ZxmOmiZk0MhhnM0LiIjuOFh5D0A0Ux1oHj2iZOdnhOJCMGEDUSnJElpCaUBhzv6Z/a5b5rv1xDujiYp35APovguFSqJenjPqDscTFfE+ZNgKCMBRj3MjLHySJXszRDakNmyJEWGDdNKKqNSwZRUKMISpQh5VS0S0SM9ZxS2JcqC7Dpt9EDMt6zN5mNwGwE+iOgSTfqmiu1sL2a2EdOw8s6xvZqEW8564346se+gh3N4WgKS9Io4HGdrgiJ8JXTsuf4+UzemazTDMwT5ugKxjj6hFvjZe94OXYtXIc0HAuAzngnKmIBymgqTMkRxyF3kSA4GeMO/FLBccqS8GenIIBiDOokw9Yv1ZrsZEXWzIs9Saj3lsg22jHMlFbjdY+TSzurWOi1+2X3NPP5lMhdrvDsJ/8fTK5JUKW1tPPzc4wDTAvWcr3mO2lDuRW5mzb+UuM6PqhBa70uJN0Q9rglQjRSSJVad1RjXI2x4+jD8NYL34Lx4jLSkNJcxsumHSdld1oTRxu32iKDJVZMict1YMgGwHHusTS2/tE//wh//tg/R7w6QES3zLqBJ4Qlgkm+Ace1SOGRUS77ZV/ObP0V0b+RyZn5KZI4wSsueAVufcJthHlfU7+3VqPSteIRB3l1MtfMguM05quaDHE2wOfe+Hl85C0fu9E1x6k8SaCO0hsc1qpukEYpfv9ZD8WDnvDAnua4ytQwduFDpJTIht0gOccCdSx6KDiuwSrnRlyEiMc+CNS5JeM06ic76uG0Bhzv0cTXM8jNJdVlR31kBMzzCI4bQ3TjPSVvKQbBljkud6K8Q8coNmmaSesYXktjpjFm1I9jwQNClEqvSvG357xbzJUH+Qjbg+0oskIksSidodyI6dYPBcc51xuKb0hhgQC5ALns5uF1ioB8lOIlb3sBjrrzEUjnMmRVhSAfyjhWYS5xr/U4kJhY4mK7NtsFxcgOth0uyvb2nEBMG2thRTvwXUoieSL3QX3garXCP3zmS7j07y7Ff1/5PxjUMQKRHg1ATN5zWRTy4Ps+0pQ+AKrNzY6ZNE9Fy5wMa14RMSr2acbZyJzlPaziYtM+ONmMJ5PJpQnEK9ir5KGWNSmXVXcQC47Lr5ind20EbYGBPkW2w5vAubwPc3+vRN5kQprxYg8ZfYj8Gr99v/+FB57xQBxx3OFwhw6CuQBpmcAJ1cCUbHnKH3Grz/JMfhfEgUgDc4/iMXGsFMRXzENJeTo2/cJOeyoGYdDCA0WLKMtJLMOFR0yDeIbIPRlzWXa8e0qgquNawHHmjLZgZq/CdLN52ms4e91WHQHbOSm5MhcDbZ2ys1W+h04ATIBRNgekDrtRdkY7gvPdW7jnOCPnZ5v53Kdflw7iWTVNM8RO3HflR5M3RFV8fNkUqObpYk4wSGU1LAPBthQpa6G37rXMjBk4fiAv3UbAcRr3BEWozHFqZVWBMn4kVrKMH2thr0xPglJc0OtBhXpAQ7xcJE661l3LINd6qt1arBFJi2FbJlUVwUlceJkPyryI87jECUazjkG4vLluMDVNX/xKArOMsio0vfKY5JpHm+eqlpx9dABav33QyqrMtqMDOSe3ynvZxZegBVvgqIntJJ60clITmyY3hlJmwHE1mrTzmkEN5yAGjLKpf81CUSFzVFgQ7HqwwVYngG/kpax75VYZrd2PU5kUvOEIZDPp08TJMsr9klJJkYDjLjX4xPTXPCSZY7Ko7DWC4y3bRjTL2dJdCSjOL2FZkD0uwl40QaLRne0omRbc2rpjPzvy2QjMRoAkuQah58MvGxQV4xIPSVFgGM/D2eXg51//CV76hJdgId2GiHIfri9Ado0xfN9DVXJFalel/RpSAXddMv8KdnaLoRpz/TEFBxcb/PVH3wj/dsAkXgHo01M5yhyvPWHylhLWKJOaELnsQyweGuY410vkCqpLAVeES61BOg+Vybwx7rRHbjVk29BrDymG/ZV04d+w5roUH9oobu3wKCPQQTWusfyTnXjWE54JP+OuGcKVcTYmmSLxoWCqshfJKCeGy+Kmhff2a+jbI9orOG4k03iMBE3ZJUBT1gw5cpQiDfnoZz4Sp/zxb4tOPCUVCI51uYyVBVOA3bIGbWHb+uzcEON7X85oo/F7XA1w2ccuxTte+nYEKxFCdygMyID7KvWMTWcEizFkXhIc12NWeRvN0vgLvT5duYJEmArlsMQ15TV452ffgfnj5zD2EwGnyKrk57Qmjftysgf6OT1w3KVUm++34PjFb/p7fOhNH7nRwXHPc5BVmZiOO56LvKyQxzke8rQH4cFn/p4YVorxXk2mPmX4lHG/ljm+kYGxjGUFGcUix8jdRWWAwZjMccpm8k7z0RC8XgOOK9O7ZSvwUPYEkBs9bkv8oJyqgONDMsfVEF1xGV1cJGWz+ZfR27Z4gAXKLdNdOlokFSPjmmugJwAwDTffde678fF3fBwL9TYseosYTyaYw0hLay5Q0BBzanCcI6LxKztc1ETeHH+tQOwqVnDmC5+IUx9zMpaDXULIkg9OPLkHMkwkFrWxsAXJbadoK8HUsu47fXJZV9hN5EZo8googHmyv9MG3/7Hb+GfL/8nfP6TlyBfKuAWPhx2s7oDBE6ENM8Ru7Hcs0WdIw5iZEWGyIuQVeyMisV8muxwbeypUVYklBiNeabzpig7ffQsCuZmHbHnRahZwew+E7yHBFgGmwHlO1mtlnUvzHItTrhcu6tMCZiBdrIUboHFIxZwxHFH4Pce8RDc+cS7YH77CEvpMsJUTzO8AAAgAElEQVT5QNjYq9kqBqOBFMyDMBCGfF6wKO7qvk8pm6YUxrkUD4wxM8+o9asQYNzeXzKr23ulxTt4BaRD2IDjYrLtSPexdMLXkRRaZB54CoYLXhEZ/z4vNWuCrgF2nGaIxEbWxJvHa03Z0YDhWqi2a7ktOMaI0awAYTog2a9KyuTKheNGz8IR+IbjOOlmHqktAY7LTZs0x9U/w2sm16R/GA9CZNFEwclAGZS6IdpN1upNEWPtbnNhjRvmeGsMQhB9thJMPUc3ElwzYAsFnHYkgCI4Tp01AZJFSwyoKyY2pk2DrAMacBKcDlV7vIjVdbkLjiy5ybK3dYORSqwxxBSBCccRlniQ+3CEuU49TsowqEyD0sf5AmPEKcdEMI1sXdU7J3M9DXRz+UVTqJtjHYtcP+cQs1+mvvKzF250BCQtJLjiUPrDF61x6WIoWfEng8PMPRu22JZR88Fsl83iHDXnos94zsh9SBVXp64kCDbZ6B3wL5qvGz23g/J6OUdXtPloicd7LHAolUSWOL9CYOxq0YuyNUqO0eXAGJY2lTTAt9xNsdQlUOFT/7EChq6w8UW+iUGlvI7JCANwvpkPNjfNHrMRmI3AzW8EGHOSOepL63KDXPxIVMgjLmJsW57H03//aSh+UGFYzWFSTBALcLssTLK6YLyxAXA8CJEUY8z5NG8uEToRJk2OdFjhrg/6TZz5qidiMlgCaF6XpJhz59BQDoNmYaLJrTuBgisqo0KmuHwXuRV+OcIStN8dAchVW8X3gp4MgrKd24ZUwTz3stOYdniRQdjHaWP3y+7pqvnNY7viU5fhvLPfKms9e67ymuuzAk80vSOzVXn7asJG1jwfXUF0Hw9izdM65rxAMwJu2fG0/AqjSWwk+SRX8QlUQIDLV3/wlZi/9Tzc2MOkSMQ/xE4HAT16LFAlZu3+Ofs8gHs4xY3E74yXKTPxqQs+hY+d81F4q7Sui1UioCngC3OeoKyDwsjBiayKpNFGx97yvx2VVxCJOcPqZ1fcsruCY+9yLM5+7+uw6i+jpOl4k8P3A5EccCnTcagehjND077YGYi8Em9DGnJ+9g0X46Nv/fhBA8cDP9RiEGjImeI+j/pfeOxzH4NxPBYwTK/DjQ+OW7kmtya4HCBccRAyFiupye6Jgby97zS/0pxd0itLYDMdEx3jycx7ssWNfB4JiTQ1TMNUwT7rJ2beo79G9Jp6W91t/l3WaxYNjX49b01KiIR5hGE+wmfe+1m88/XvlG6bgF3NlMviGtnTGVda3r6uYOsnqqidi/ml2DHWJQbeAGVNL60aY2+CUx52Hzz62Y9Evi1H6iciNUTG9TAcIk0moHUF43zGwBxA3hc0cSQY6weB/E6WYMPo5L+tCSZNJgMywHM2ngbIrp/gsxd+Gv/85W/i+//6P2KoGtahFFLQcJ2nDwDLjES2lVnt0EhXuqS7rmh7li3QanNcszaSRS35CZc6rm9T379EBmjsS8KjYYubvgEF6lTwikC07/nCjqeESeDp2sEqDcFqeoZIV4vnoSwrMbhOi1QK2VJAjTyspMtYOGIBx9/h1rjzPX4D9zr1Xjjs+B1IhhNkXtp1YFibDjEjtGPSEfYUsFdzYvmSWKG3/0qXlimImsXZlEvMZ6gMjKgP2VE3MjpWJpbEKuaR7MiP6li6RDg8JAPx/iGZkNroTVwhi3j/GPyExrDGHHavclU93z45rmmn/tTXfPbCzTQCwl0gsUxwM0c6k+wcFxm/NJL10y9idpZcMzwsPtc/wj3fmXeu3kznsadjOYSRxf4NTdM0C/g5fje/pnpNnqXH1DENBdjqTsCSLhDaQtkHyAUEZVBsbmARIxCAnAuFnjoNYmbg+P5di/6zNxJcy2JOWRPqAE8UHGfALbrjdgOoCUSp8L+NqmomoD61x3MUQwOOG006Y3oubUy2XdcybxglWPdqaf8iOJ5SysIXN3WVdTHGLATbBEhbC45T417A8UGJKiZzPdutLWn3EKi/iaxnKu17cjj9VZq9cjOOQAuOk+vGDgoT0KhWHBsulWVjm/HbBk6TAOR+gXSQyjooCTVb5WUV5HqoepwaNPYyh804EFMekwAFcntqG6xH8xzqjLO4IDIqlEzyEEgLsfkQIXtbpnkjUjba1aHBNJMSmhJVlFDxVc9d2OLG7BMGGGeKoOI2dOWePryf8tRnL5uNwGwENsMIGNahGHYB4oEj4LjTCEt7MVnAF9/3RbzpxW/Gkf5Rsj7VdY7GJWmGSEWoGo1TPAgnMjriGj8MqX2eIcZA9GOvrXZh7rbzOPsjr0W1PUOCFYShj9gbIBmnwuD0Qx8V29vbLEAze423lEUpYKXVHxezTv6shy5SBGXnoWJNKBUoMVqvkkDvnmbor9o+z72ePfew9Y9+Pl4VNHlycMFfvRWXXvQlKSoHGKjgATWgyV7ugeMq4HEgwXEDfBiwzXrPWHaqxJu9Ji0F0Jl4OEjjBL9y/9vjBa97PsZVYvacEivpCha3L2JlZQWRHypr3+zhfXCc47BRz6SNxO9k1wbjCH/76nfi8g9cijgdwnMjkQgoqkSOmYZz3B9FeNAxzHEtWbSV6j7jTGXKdEwzL8dkkOKOJ98JZ539PKTRGFVYIG+ow2vvmUOIzvTA8QixGjQGjWiOU1blw2/+6EEDx1mkIjhOk3EamN77j07CE174eJFVaZnjZHZTM0lk50zcsx/FqT3fpGuZ41p0oiSTL+BqsOIgYueexFmeMsfXzNuue1bnokKF0qVi5CVk6ouhoMpCENxD2BDJRuoT3OtkNfU2sWuG+d4pXrb3Ij9JmNqM9QjwMi7MauwID0N9XY1vf/E7+JuXvQn19bWarbaHZrS6zRq5sezNQYEKsR9hXK5gMV5AkRbSXUKyy+Jtt+Gl578E8780j+vK6xGMAgGT8zRBzW6hwEiguLzfcgHXWXB1fFdkS8qypOIXBtEQVVbDdyPJKyjVGLohikmBkTPAlV//F/zTFf+Eyz9/KXb++DoM6xg7wm3Il3PpXtXuGO294UiLYad05hMmJ77SC65lknRrdnt3tvNs7f2qslHTPrrr3G4T8vbmgkttthbJFxYgkjyV7ChyuEaRIAeUVSHGmCw6EBAvUGAwGqKoeGVqAcfvfLc7464n3BW/eeLdcNTxR4jZJr+W82U0h1coApqiGpCb81tqBco+VwkpfejarbIvKg/En03J1gLiRqax/zq7w+jzzetaVFrBdJv/iMk2fZgyguMuBhXNqa2EEnXRaf5cwQkakVZJY3ph7CM43gPG7TnNsLNp5+5N4HVaHQPJEl7FVgQXlVug8di1XkpBMZxQ1jREnTu1Pwy+ONjhvwhH4h8dhyW5zf2Yfl06yOfVNI2DJdwaK3j29Vddf6YbshvIASJWK7QCx7bEDiA3bZRShbbNe7uD4/K3QxhfHeRhPOAft5Hgmq1fYgglmt8BwjwUgJzguALbtsJs5AvMvitawL4yx0tqftOgp2fWoiyCfkW/a0ttW6eogEcwPqEeMaUsPKmQSx2b1VPDXFdNUZPgORBjPmp2kbHeDGigQkMUDc7252FvvNnU259Ru+k9l/OAgAnnvifyQqo9ro3uNlWwrX+WZaNhKedhOpegDAvQ+EJ9Y1RlVSq6prVU76X1APnWn4E8LzWAgjDDg8pDUPjwRWNcTTg9gjdWA9foS7JFUnQa6anNQLIWYRZp4yZzrwoakVKhfFLtq/a43OMi2cJ9hd81sK3IkttAeH/Tm9GzM5qNwM1oBAySJ4Aytae5tpgWecYXcRIjXIrxmPs+GvE4xoIzQpnlaAxbi+ad9rX7O2qyElE2y+M7EAwhOB7D8wMslSsYxxM8/DkPw+8/6SHYWV4Lf0Qj4gZlXorsiEoP2iRdwxy+nxpDCrwtx8Y4TYByMeiEGpYzIefPuWH7Wjyi1UrVdZks4k5drgcUSNytzeB7As8NnLD7kMhhWS6dyFqDDT7/38OeivHPlgEakiFC6XJd5pJdg5xZXaW5ypNEQ3yoY7BOnwStBYEsQGLC1DavUCtsfWjzP0/ZQRZmuNa/Gn/5llfgTvf4daReBnfeQdokWJosYX5eTVyV0a/vIcadrfayapJvhL23kfidLP2FfAEvffJL8IPLvocwp/mJL+A4tbdpxuc2WjzW3kpGLdZ4UwMU/ieMZsMgZgRuGfICjo9yPODRp+Nhz/hD5HGKmlIaNfNqz7BB9z/23t/7bK/PXweON1UN168FHP/8m7+AC//mwyLlRpkOlSXaXaN/o/E/VZEo7eF5lHRhVcHFJJjgbg/5TTz95U9DIszxEgTNuC7duOC4schp6O2ihpwEx5U5TmYhQcj14Li501szRP25BcctsU2A7ErMNylvRwP6JmKnDslJSgCxTFq+XtevrjCnxbruWfonQyapK0RhCK/wEExCLP/PCl74hBch/1mOUTMnx1I6KqWnOta8H7XDeSPQrogI+T6KMsdwFCGbJAJ++8MAy84KnvGyZ+BuZ5yAa5vrUDiVgLxe4SD0PWT1GGEUIk+1GOEG7EapReKk0/9tROakyRo4mYfFYBHVaoOoibB6/QR//6nP46uXXIbvf/f7cJsAdQEMgxFWJqsYYCTyVL7sE+YuFT1vShlpSdY+ulVQ9wz76BtN777Gdmv4tPej9lzzuqhcllwXCy4bzXDeF/R44LkMo6E8J80UBCf7nqD4den1Ap67AxeZk4o85W1+5Zdwwol3x8mnnIwdO3bAD0L4sTAwkRcVgtDDpElQbSs0/2IaQXKNdJ5qbqCFZjMihoDTdooLq11musnNLEbRdZZL/td2VnRyOFZyVsdN56HKQqrkmRS+cgOOF5zXXFV92WY5j5j/uCQIxSWSUSL3VHvN9sYc38s2M8POpp29N4HXSUGIHiIsyNDLxhVVB64RoLQayafjWAo1RV1/f/st51+CIT7tbHN2boWznz4uPARn1zTNCLtwwspVK+eWWXZnP/Dhhg4qrwFZ/eL2bKpyXEAY/BPEkAY+s8mul1UR7spGI5RDMBab5SM3ElwLO4mLO/X6klDB8YJmHwYcNxuDtvB27EwCVbwJRW98rpDKp7Sz2u6BtrWKeZQJX0wgoxsIK61kjgfwJwqOs7rKgMeC49zoCDBK4mq0v2Rz8Qv53GJQCGNXjAB7bs9bH3LcLDPr5nMcIVtQCeZOtEhEsxtJJLrISjtgTDilHTAusiBHMj9BGRWCF5ANwZZLG4BZJo7toFCAXGeoDeo3xnw5tNdIO/tV1kAZ4z4CFhcokcSgkIwJ64trxlLBhRqNmBiRba5O9KJv6pMx3qCOjL44wXG3M/jRvcJw3oTdxsJsP004tOMx+/TZCMxG4GCOgBYtlf2lzHELNgsQ2HhwkgDbmu144wvfgCs+cTkW6zm4pSOAVhhGIM43LcAi4INH8LFBXeUkI7dMNW4hEz+Bc5SDd170TozjFRQh2XAFAs+Xda8p6Ztg2WgKGNuuSgvgqjaXguQiKUC2uGwxCo6zIMl4TRBwWWvNd2qomv3G7jg9CxY12CSIhsj4Rqy/bloIVqO47qF7oo2yFAzJr0vw+Ac9HNuceTQ5NW4jpI0SZVRmi5CtgrJWEEvBcWXc2X112plj0wf53oJyhj0vb2rBGyVt6JbkSAdiOV9g/tg5vPk9bxF97TzKsFwuYbhtiNXJioBTyuDXuNXueTbm1DGe9si7usQN5UDdaK/9nLCIsJAu4MwHPwnl93MEeSTjq1BaCd9lTN0HxxUmVzhcQb014LjTwBdZAQWFUj/DzpAg4TNxjwfdHdUgR82uTYpQVEAQhGiqQwuOM/7g/RCyxYyaFW4phpz/cP6X8b5zP3Ajg+PsDqTZay3ayBYcp9TIHe53ezz/nOdhHK4KgUfBcTLHCYQdeOY4SQOcm3JfiW73WlkVMsfZ/WstpdqOByt1Z7ptbDy6BhznkiIdfSVK5nzM9yglGDJuK0xhpQ+OrwXKNd7VR8dy1puGnzeKh0hXEsw588h/XuBPH/ccrPz3KubKOSFP8LUEU8XwXeR/VKtbjnENHLx/96HIDZE5PhhgnCzBYzeP72Ncj3HaH52Gx7/widg52IlJkCCKB8Iqd9IGc8MYWTNG2TTw3XnkhUp1EJSqGhZKKHfloMpLMVbeFi2iWqlRLVX40bd+iIs/8Xn80xX/jJWfL+HI0eHIxpl0fIThAGXFOeWjLDinfFSVrpsa5drVU6VUTHlxr4C4LX7Z/a0PNul9z3ecPgMRFwOHrG0W3XQtETxBiq7KqOYaQQkVQsu8hiydSlGhLJCTHS463CWcgYNgwce9738S7v/g++M2v3Zb8frMJ5lIhxVJKRiE7n8u/ABijFpI5y5lSohDVcidHCULCDKfLTC+1li5P2c0gtC9SNdgi1e0qLqOUE+apvuZz1cZNI9PsRrlBMdLD37qIUzUy03WYZc+DiI0I/s+zVyT+QRFoJr99iYhW369rMoemr/M/bR/c3727JvSCOikYxznUtue3ZM0FCYZgab0pQdvIkW3CYb+x+duEb8Ei/gfh5vWFnhsKXBcNrOV5oh6Uj5u+edLZwWOv50mNzSgYzJQcqFj65Vh+UnKIgB5Dxw3xWQrq9Jtllvgam3CQ9woOE5mNs1awjQWYNCC4309uhYctywCsrM8lTQpRrku7tSyM+A4mbMSfls9QqM1bkFxZY/TjTyEN/YNw1SDHTVsUvaXAuumbbjRdlx+VhWr1nMVaouSsgn6NXO9UHteAbqWL33ClrsFN+Es3MqHpPI+gyxEMGFAw0BGtQIl7TNZhDCuBF1QVl/luEiDDNnCREx6pE2wnVrWHMOE/31NkbaNsSvjbImdaq+XmKwJTzTbfRbZct7P6h/AINY+hGAnp9zpXEpYWrPNnR0gNSqC4hEBcjXZJTCuPMO+ubOtWBixmw23JW/luTs79tkI3HxHwMpdcV0pxZhSZfq0U5ExgQvXieGserjq//4Uz3/8c7EtHyGqI+QlNU4D1fGecgj7iTWR6TDwUBa0e8zheyESJ8WKP8GLznkx7nS/O2LZWxZwyXMBPydnmzIHGitp0bBrkrOEZN1ylN3WyqaYJJxs5pCsIZIZ2mVVwXHdi/QN9W+6bqpJnoHLRbJFwYy1j37Xn/mLxYB7TxUQpPLx3a//O/7iKc/DdncBLj1s3AirBNVdhx5q8JsGgYGkCe+IdbMx+tw4OG4ZgH2JGMsY1PNodwyj/2sZrizIJl4iEn2PfdZj8TsPPx3ZKMf1+XWIt4XIaOIpgF7HVFUsvDPuPJTgOA0Lk++leMpD/je2J9tEW1Q0icmgrHMjqxIa5jivI1n8BMcZoZs5Ze4UgjY8s0AKAcrCTPwM1wZLeNU7/gq3PuFYFBFlETK4lI0Qyw8CYIcwejHFeYb/QR1q7uAUwhy/9B1fwbvPfu+NDo7bDlfb6UFgmuD40SfeEq9428uxGq4cNHCcV7hkztUHx5cpqxLCYYcewRPaR/VlVWzty4LjJlZdI6siUh7Keme3cBURHC9R029MmLqaR3XMcXsvrl1VumeYZxI8hY98JcdisID0mgznvep8XPGZKzBfzyNuBirxyfMyXjQtc5yFz5ZoMt0clBnvMpbXzkQazXpDF0f/ytF44etegPjoAdJBgtxnV1DFg8DQj0Uju2ho6uzC9eeQphUC3xP2e00tbTKbCQKzm7Jw8aPv/hBf/8LX8NUvXIFdP96JJqlRJhV2zB2GdDVF4IQCtLN0NUGK7YPDMElTKbro0PJItWNy7XfrEaBjZJnifQa/qqrr9ekX2fhvPk/klqbd/yT3ziX/tgak+l1tlgV8b4wWe+xLQTqruIao+KQ/COANQ5xw73vggWf8Lo69/TGID4uQVhNkdSbSNGFAx0ygmmiXaYhY/YsaoChJpClRhyJWL8S5zM+Qu5l0a9AAs1u/Oy8PlcnS89didDcA7SjJNtntg2tGydwj8leS/FgArhs0lRq6kiXOYhRzoWDsqJ9VE8p+SMNcygixZEnGO8lVvKekqGuOw16P/nWZgeNTTtKb8MtMRCeBY8NOd4f3hSPd2n7hSGGuzmQvv3J4y8WzvCPwZcdxxltlSKaNyw/Z+TVNEyLH7dIfrr6tSep7EshsCJCHDkqf4GWDQkzTrKxKB5ArI8G0JrZL9bRL8yEbgk31wRsBx23qQAY3A0oCgz6ZnwJqKcdGGLGSqVl5E/5TteIIjufDVMw52VqsT6FOmDWtsNuy1b/sWOMMbPwigDsxMgzUGxeWuH4uP4OtVuKsbtjjJZkXQYFyUCKPM2EwSAtJb3vvIMfd071OC6035zp68Ka6rrODOTgjwKQmKH0MkgAB5yLB8Sbs1inpXmDYumdwPN3G4CZrWzw7fdO+lqMNrdYWezRmVSB9Kz5ElomBYOEioGcAv0SWhpu0NdbVc7TGb5KSt0g5f0+jzRplqOB4QWCcBTAJurV9VKW3lJeiDFHzJTf72vt/K47j7JhnIzAbgf0fAcuoI1sy9wxTTYAyNYAUjVaPHS0RRuMYz/h/n4rJf+0SEBFuDOplGyG3/f9wAzjYVnIlBDDlL4QnQAbipEhRDoBf++1fx/Pf9HwsxytYbnbB9x0MqAPcGCZZj8jTFhBtl5LdGqxOV9cobtq5DRBsW8gNEG645lYZr2dO1qUcjYDqxnzMjsA6UIAxmAIv3V5lY07K4EVVhAvf8kF85rwLEdJYHTEaRBgTiPVp8F6JPLG/BhxXeUVljlvJsmkugYJGejwmRrUswPbtFGCSL3YZGT1tLXI3op/NTsT4FhFedf6rsHjbRRSDDBNMjPRXDxw3THyRVZGihi06THPs+pqNxO9RHuP7V3wfL33iS3BkdYR0bCm3tIJDqQsyWxnLSPSiV9EF9cLVr8Myxwm5FQYcDy1w5NSYBCmSHTXO+cC5mDt+gCJMUNUp/JCmgwBJ42Tbbog6P/3QdZe8ou59CM/IyTCX+cq7voZ3vPpvtaPtRpJV0citNKxx5kpEnhUc33bHBZz7gddjJVwRoE5YfYY5LjDoAdYc95hziayU3gfsfowpqyLgeLB3cNwS/w2DzRratuC48T0n0EjwsQhT1HElwJ4AkC2g1wdo+4Uqs3qYNa7PHBczyMzFNn8RWHbwple+GZd94jIM65EYcxZpbiBdK4VkJwtXNwKwnHq2NXH/JxLHy498TPIEjd+giirkgxxvfM8bMDx2gGauwWq5gmgY0cxO1tL54RyyLBMjWsf1keZAHA4FwC0nOYbuACMvwtXfvxrf+b/fwic/8HH8x5XfFfZ45IQYL69g5I4kp6VG/cAdigFoQD3ywEdZEkBmgbXCKBwhzemNoWPY4acmcze5se3+sOt0X06lP2LWetOuhzJfZA5Pl39oni6lTl1L2lxagXHOJT/2sZwsA5REjoCsSTFYHODXfv1Xcfd73RMnn3aqSPMGc77ovhduBip9kXTpex4cGlITUU4cIHVEeof7Dv/jlphT1iWsxRyWUoy5n8k8FXKNJc0RMFxjdm0IdyILqVJb7Xa+p2nUG54O0dAnVtzbXBdBRaPWSjo3KMnJ+8/PfYSrjnx3KG/leCJDSXyEThDUSk8Mucox+2x/T5iB4/t/T9+cXsG5qCoPLIpyO6QCg4+w8KVjgbdmheoaZ+S/fXDLwTnOnHPVVhqfLQeOy83bNNtwFR5VXDf5s7LIDmvYQhS5qEIHmU/Wn7YYURuLfB5l82ghrmXEbKwbcStd4xv1WDcSXNvKKQNLBpQeTTmpT8cdg6CdCTyEsUQbdHPxLDjONuE0mgiDmyYkimErm0CJKcpUstVbpk7KalIdYoLy7qqPgBIMtSftSerW3APHazKmlAEl4HhYavtrnKFgi2Kr2/CLmOPaZtUF8pLamKRqS96GN+q8urm8OcHxsPQRc+7zKwvhrAPHeS941PlrmeNMNl0kYYZsxxhZkLZt17b9WgBh3j9tuypH9KYFjtM81y9DuDnlaFip9hGWgbS86lpRc/dWA06jDczXyN9NUsa1g0EtwXEC4+wMYWDbuGw1rMCkT/M2NQWuRWPcE+Y+P8KlmVNPf/HmMm9n5zkbgZv7CPTB8YzxR+MiLhuEBO0aZWNP3AaxP8JgHOLid34aF77ufQiTCD71X9nwxvVlSnCAq3ng+BKzlAKLZ7JmBQGLhrRKAyZVgXK7iz9718tw5F1ugZ3OtQh8YK6IRGM2C01iY7x5pOxn2e+9JjebvVu2utX0bY3I1nTnmRiLgEAry9KLcSyIIZIuCo10XU8dxNKfX13cbsAUFgDKEPP1HF785Jfgx1/5FqKEIEDIEcCE5xEE8MtawHHLHOdqLSv2AQLHlUnKM9Dr30kJ2KM37D9z+mxZb5nzjGsdsjUTrPjLuPvpJ+A5r/lTMdnemV+H0bahdAJox2PHsLfAj7TtT4crtUO7kfg9zmN85cNfxdtf9jbsyLYJS4xliJKSKr5KvLELThXx9bp64L66b+D4OEix4zdugb+84JUoFhOUUYaySAQcrypXVUzWxNQHeUUy9RBOAer6EkyjESllVb723m/iba98O8ImuNHBcc/3BeDU+ecJOB7exsN5n3grJhENOQvT8k4ZEhb9GwH4VPdhWmiyD3tyvTPguNxX1KA14Lgx5GSHyFrmuEnGW3BctU8toLg7OF6LNnIR5agHJQpKW1IOoy3a2cxKV+WuX8OsJz0Wrn2mX3kYUit3ycVln7wcb37FW7Ct2QYnU76z5oGmK9jcfyrkRBcDNXSsGwvO7v/ck5XMqZGSMR4HIp/yqGc/Cqc/6nRM4jFoo0wd+9FwIMeTpGN4oY88LxC4scSwwpQuHQycGJg4+K9//m984ZNfwJVfuRLZzgyxMxAzTq7DaZmITNNwfoiEgHzdIHIjFBkLqg7SKsEoiOW5dVWpRKNWJXtfRFTsz/ZfplPVrIR2rdYR0QXK5uDSjd12r8oIT13c6gqm3Vy0n8iYXxrfMl8AACAASURBVKQSPfUIGx42wNG3uxXuccrdceLJJ2LHUdvFT4g5PZn7UpxwSpRNjiD0tQDBQh2JN5zLTSz5BX8WE2riEb6DzE1RBfp6yvxQWoVf1nCzzbpsZ5UZE5VjMx1bZoDWL+V2aVsvT2Y7FjiqLC54JFiR1GfAcQqgExwnczwkczxjF60n4DhBTN7zfl2jDDJMbOdxrwjdFZy6Ob2eOd5DLw5ZbXL/77jZKw7kCAhLvFJSakpT18ZFVAwQJQEGY0p5NFUzrL8WHjF4Lo7EN7aCCWd/fLYkKtc0jYdV3L78WXpOvpLe1/Fcr4odlGGDPFBjNdHZNYmHWAxJUGqj/U57t2+icyAnzs3mvfZGle4NwN4mmVwR7jFNgDClIaEPP2MwyTYgFkHYLmXSDcP2lFBO8hCyuEukQSL6c6z2ivM4W9QEAWfwItGLbs5mU2bQRXddbm40FGLLc1BS55nppKohCihP4IsbhtkV+C6U6ymiUtpghTlunN/3bXew4HgXMOgQdXPxZjNnbvInur5V/oYyWFeY49EkQJCQ+RyKOQ6nnZBmpFu/FrDFzjMm9qwfJZQV2pEi81MNOI2Wvh1emcdG+64dcmsi1MuKN5oeTXs57brQcb966q9t1m/u33YIO4YIXdnZskv2j1OwnctF0ATapi/LfwWHkls9s6cWZGBy7dYij1RKayRQSmG1EB8BFlc9dh8xwe+B4wTFCZDzuzDh1pkTTTsWs9fNRmA2Agd3BCzXsF0vbRZ/AyrUfSxOO3oYcwCpr4BJVDoIhUmqyW8WcF2mbFyIeDnAI09+GKLVGGGzgNCJRSvcrnp72yX2Fj/x9+x3Uw1RX2Mft0Bdl6jqEnEwQOm6uLbehQc99aE442lnIB0lIv0Q5I7IuqRiZK/a2/rFvQZivCk/G2KAjVVaVqApDupSqyCKHGfPkFP2IyNf0koQGFDaRkHCeKdus5x815hvgQ+rfWrsyBRMN8SJoIwxmizgib/3OGQ/2oV5DOE1IYoayBjvuTQGpFQHx0lHt5NVMfulAWc0Fu38h+yeZFnh68H79vltYaNjjncau7tR/kBw3JQDtCNRugsqiSeXvSU899XPwW/e767IyR5vJmb/t7IqKlHAd61E8suIFUwLkLfG9Z2paju+FtQSmQKrh2tb/TVwH2ZDfOh1H8JFF1yE7fU23YMDSgblontMo0HKEDBgV4hReilacNyU6uVvhYCQDSIaHcrb11gNEtzhAXfCWec8H8v+TjTUzJf3pvmkBOiAaNJPOwAbXG8sRkgCTeUKOF6WqRB9vvr+b+L8v7wAA4Jq1OU38Zmy5bscYCNHrhFhBXpvUVeZ90rdOEiCFMExLi749AWYjCYCDsr9JUxVwmmm2G9m07THsAa0I8Ao8kxayGG3TFxEYshJqUwycKVbQkMzLQjKRDarG+NUA9zJWmKklpqSxjCUTlUzziouUMaFyls6Bhzvdd9aYNbKRMk9YuJiXbvtQtUIkWIumcNn3/NZnP/aC7DN3Y5BOUCWp1gcLCDNJyLFoe9BahVzRM5PBYgF3NwHcHzv46uavexcnLgp7nLf38Sfnv0cLIW7kMWpGGxSRiVdTjAIItRlpezuvJL7KgTNFoGffu8n+NLffQmXXnw5rv/RLkRVjCAPKZSO2BkaQ2Tem+zbKDAuJnJ/RVGEMisEMGcHRlXSJ8AVsJUMcumlNsVN279qOz7sSq3EEJ2J+v+1coOSw5Pl3i+emnVPs+2u87IPk3fdOOvv0T7KbCFaXS9IgBH5Hfmih1CJX7nrr+KE3z4BJ93vJGy75aKaT0ZA3uSyX4pcjula4ZqVF6mMCwsGoR+JkWeTNiJNwqIJu1JD0fTm/qK+EQU7GHwaDwC1r5KvVZtzKAuz28ON5piRfm0LCXsga1rJrF8EjlNWxatrKWbobcZ5StKfj4DM8ZTdtIFoycvtJj5NFaogRzbKkIckA9UiA6NmoralqMtjFSfrZrJxFDHdExtcR2cvP+QjoPNzbaQp19sEvPbKdzJuxq9FmzZElpTdSFEWI0ojBBOX+fcP/e3OOe5R0bucBee6Q36S+3kAWxIc1z2umccYJ07+a3x+U9a3ruIK9aBB5hZwQheu6yNLU4Q+20lU00tNKzQwoH4Uf6CurG3l2s+xmz19P0ZgTxPN4N1SoQ3ZgleEspA7ZIGSyc0ghHel1aUzpps2MeFGyI2J7WglQS4GTKYwIsYZJrCX9E106HntPfgNP8OFm7iI84EwyPsBtq4H5ojNzc/P4kbIeVYNKpRRLi1V+3oDrQ2Q+rrj+/oO+zHYs6cevBFomTfWSEVTvn6+1oN813QOSAOcE4iTvC+SKmQ+Exz3tGaiSMOaAERaY7mW0YyIbuNDahKaeWh1Xtuz11m3p+Dchj2HChi3W7GA/kIikhJmq33b3vjGWFlSZsl4tEWQLO6wCuAtN+KKbVuKNfuyYE8DVGw31gRL1wEG0dSwdKW4VtKzwFfHe/2bJiwcl1a5sh1XqzLcaVra3xy8CTf7pNkIzEbgQIyA5Ri2ib0Ya3L56FbsPrPW5JXtnq/mvLqeZB5BajXGkjy5Ym9Pg6yi8eYATUkm5Qjnv+x8fOH9f4/Dyx2I60iYajbt1ETZ6nLrGa71ktj9rPuWcNrzZpNvJZIWboUqrpHNFfjg312Iar5CgjFKakIHnoBpNtGVriMaaVowiZg3DdpsHNUDoRTsJpGAcPPaR/uznNCedx99hYqvtA+jbWsJK3y553EvVJVqIbwY1J7g/6iew0+/cQ3OevJZcHNiE750/5Ulx4B67+Z8Oq62CSe7c2ZJg5+RNLl8Bs8/CgLkRSYFB1q5ua4nDE7q+FKsS7oT2a1as4eo386/e4Jpz60/RjYRVTCxgR95WM1WRSYwOirAez7zbgHIyhEBwQpZUSAOCPx7SJMEg1GMrE5QVQSz2Gk2ZQxpzFhFYlBiYOZDpYBGlRhrkXMSoimUXEKySEmwkPO+9rCt3Iazn/J6/Ofl/4k6qRG4AQoCbMbIj6CbNH+umSE2mNdZR6iYTPM6cMT8L6pV3pCw1Uo0xilPuj9+/6n/D7BA8KYC8lquFzXKxYjSVgsOxIIwxXtIHCUFHxd1WSL2XAzyAS794Ndw3l9egCiJhfygqwM7U1XuzZHOZutGOcUHGyCS16Soc5mXcn/4ngDHSTTBhVd8GDvjXUjDxBTx+SQySH9ROW7fjkeuH7vwXBKHFGzkObITOMgiBEmIkHKBkmvre6o5/HrhjX65oCuwCUdJmvxoJKomnFVUiKyK5GIEx/VNWzBduwSpT64EOZlhpSMA53w8j2ySIB5EMma8Tiv/MsYLn/wipEsZAgRiYkn5kcAPUBSq+W/50UZAqsecblfuvQ4Yn0GJK85tArKxF4vJcNZkmIsokZIi9wpsv+12vOYdr0F5RIXVaBX1XI3VbIzYieDkLha9eQFnqRc+P7eI5Z9cjy9/7sv4/EcvwfLPlzFeHiN0Q8knhCnOnNqLdP02TG8LX3fMYFNolKJgB2CL8bKRjbFSKB3HuwO/hRzCdbk15+xY+8qKX5tdEGiXvNwUGbg/koBCDWx2fq+UY5F34X5KuRBJ/WuajjK+53VWzXNZg8RjwxeN9WgQYildhjv0kGCC43/11jjh5LvjxFPuiWNvf6xiBPQp41evW0lyKe4nBIsphSa4scmZ5Ni1/E2gmUxsknC8hExsFxH9ykSmpBYTzsovgahGHXPulbLvqpSjVtAsW57vb0epv8/d4B3XW993BzH1uvGayX5CkNuA27zvWJT3Ex9BGkmRzqamDe8nv5KukiZmLlkgo0G03DeKk1CuXSmDTL0sG97s3C3Jat/WitmzNu8I2DnVjyM0FrVm7bacb+WJLWmU8W2GYTSQzik3JZ4WSyd3lRcrTdhcMrzt3Isxh287jtEY2rzDsNuRTRlVbY4zbMbNLeur8dJiJXt80qwG1H6ibmwTaLsi203ZIkpwnJVEXRy5obsIxQiIDMwZOH7IrqZtSySLuzJmnKneZAwo+V9bmJYYxbDGTUWLm09lpE4K0R4vFOjipms09WTTkIqyMhuY3rAw4vFzJh7iIoZXMWDs6ta2Utt2fDH444ZHLbGYhpzUF6MrNVtJtvQtdMgu/U3lg3XeaADdBuqmG6Af8nf/ts/XgJRdE27hi6szNTvJZrF2LVZzX7MKBRGEGeEUonFHY9hU5H20aXmrPSSlNLJHjWhimrDRJO3iG2E7gAQXIQMrgkPDUjK1cg/RmIVOGsvx9dpqLWoqss7zNba6pi2ydKdnjMhkPA8KcZvXDpDZYzYCsxG4OY3AGnBclNNUP1FZcvrYGziuTDijLW7BccOyowEkwXFKDQSRj6p2kGQN4mYe137nejzjD56Gw8bzmGsGhkXb+eDw80yzm4Y7xmhZj2pPj7VAk6beyv5id11apWhioBkCZz77TJz60FOEpZg6CcJBiCotW7a3BUgsc1N/VvBXQCYDjtstrz9+U80by45o+dAWUDHHb/ZV7rGuTyCfMZySXKoqx7Cew+UXfg1vO/vtgqQwjRf5RAE6lKLajVl/BzaAhTDvdWAn1I4lzkcQ3HMFDCdIc9Rxx+B7P/gBRmEs+vDIS9H7TepSmOk07BNPnDVl77WjYcEp/dTumHidyFzkf0HgI3cyFHGGBz36gXjk8x6Lqyc/hbP4/7P3HvCSZWW1+Dr5VN17O01gSG9AYBBMCEhOon9GkQcKPjMoDBJEhjAgSSUzMEMOOiDgoCiIf4JiQBR5MorgQx9Bn/owoWCY1N333gonv99a395Vp253T6jume47UzW/nttdt8I5++zz7W+vb31rEaBv0NZAEmcq9ra0saOONHFZ+vMsm4NqnaVcG/PtVBlMHVZisteUrGDxvqGZIq89ZITJLgX+PUGGjckGnvOI5+LKv7tSgDXBopYyNkmKumI3g6MJX8O8FfBCSaCoEQCf1bRIjNDEDQ6lh/HU1z8Nd3/EPTCNJ7r+QWEFkylKFbydX/lS0+943zTL90J2k8HA8SBEXuS47IN/gUte/ksYTtd0TvKM0dEmhvpp73D84Di7P6qG4Dg7ZinpQBZfhSKd4jc/9UEcPLAloDwiACnSLdWGzTS13ymxzFjI84UgGm+LsJB/C++7tMmQsyhA+Sj6SInO6uOpMY0XyBkOzHM9wvM9n9sfUidZHX30eNLeq0ZNFrnG1EsLmTiVJzl4khQlSPat75fpZh5myMIUk+0xBlmGy//+CrzyCa/G5le3sG9tP6qy1H0/ix9OFd+OvB9953exB5yPHpnZ3BCoiMM5SzyCQDkLGuMJI06FdJhgq9vCCy56gTpGtpJNlAQqgxJxkqjQEExCAZzhmOaa/4Y/+O2P4bOX/TmmB6fYH+1HM27QtOx0jOx7nLGBx0AsXve7WY3AY8U5V3SceT9YrOd/jubjWOFWCJitLfxQdlXOCh3z6OZ55LPXukCsoivhVhVbrU+b5tDjdoQszkwaiKz1tkEYERAP0bBzgDGCSC3VVmPKq1eouxphzPWRAN0Ug30DPOoHH4n7n/sAnHXObVAEI5FfisAR5txaPl/DnAa/OnDojTDvltL3qcjCxgZ2oDPOxwLHkymB5hA5/cpY6AoDVEGJmrhDTvyp1veWYW1MdtcpNevs7asYuGNavnPDFYYc+D73orACJDGQtEgRjxNkkwGS2kzDdX5xLYa7APq8ldb9lB5uUan7mTIsjPuxrhW3W+bjd4QnwDKBY/WeU24ErDvMxwWLo7NiiyWElk/5e5f7dRVjGhnUZiVjPQl+XIA6hFnwxWgjvTDaG/1+cCA4fMqd8HU4oF2N7HVdN8Ah3Ls+2L5xdPjgtxD8CNYSGXOyIhgnpM5QF9pAVC6ybCHlJEgYaxnfGQSvw0CtXnIDjMACOB4rQSdASHA8riJV8p1BtstPHDjuKtLaSHKjlDQoh4UAawLYDOBcgM3I03T1WPnkrR91BMcTRDQMmETI6kySKj7J8QnvvMQqsoWSM7Zpka1LULJOCI5T529X30I3wEW9eX3kDDzhabsktJ+ILmqC9hoHxVZg8kFZkEiSQuqcqFirXzSk1YjOwHHT0eOcZwdDke1ecLy/5TCAYc5oMoYHUW4nc9SwkBAjaTPpWaIMlKxmJQ1yyIhgMdQxut1a7vVIyW7kxlEFMpKYkkA/Kyax2VRAwOqxGoHVCNwMR8AF6MUNal/eyeL6bOvvXjgDx52sShma1JLlGC0SghVsXe5qgVFxto52EmO92MBPPfopKP9pGznNl8WkIzPagPk51D3niM3B6Nki4y6UZ+bNm9xdomR+K8x7og5FV0rX+tbn3BpveOcbQK+WLjPGXFQHMkD3BO+ZHqwdTI+VbADpInONT/jWpiXmjqTz+u/zJtL2nOn6hsYQjiIxpclSJJmcihpRleINz38j/uqyz8+LCGQakqFI2IYs+NnHHxscJ8hWkj0ZkWneCvRJ4hDTpsSPnPfj+Lsv/1/8xac/g2GSoxyPTc4gyzEtCgG5/jvmZe/FsdgJjvt1j69PsgRbxZbMHCuYnnJ6RoJXXPJK7P+6AyiyEl0eij3OMYijENPpGHHqJFYMEVxi8A1VJDiuPIQgeA8cl2yLY5STUELQUGkJ90vScc8RXx3jyQ95kjSb8zhzxM4OaZKhrgwoPVZJx890L2U4CSiXQolD4yq2UY2DySG88Xffgj133ovtbksGeFEVmtlsO5X+smRVlkWXlhu1xRlFQCEk9N2hI/MdgcDxT3/kL/G2l1yCtWL9BgXHSa2mtIcHx8mo5z6lzAr8+ifej60zpvJlCrvKOKA05jth4DhjnYHjNDLkfcSrx30cpWUIjhOck4eUj1hOo38nOO5BS99pILzcpb0ihBDMS9klXKOhRwyZ4zJLt8gskHfheto9IXCa+tkyh40lcxMVEarDFV7+rFfiXz7zFRxIT1OXObtRBkluc93LQ7nPnB+vv3v7d/3RJ6Bl+yxlNciTHHVdY9pNFT9YQOK5XN5djkf82CPwk894IopoiiKYIhkkqMsa9aRBfbjF1n9u448+8sf41McuQ7FZiuDVVA028jVU46l8Jwi4k5GuDg9XlGJni/y6jgGO80zUadSb0f48Dbz2643TxxbR0LHlta3m9fcgej9/t89dZJ7aaIiV7orIswJuPcVanqu4RKddE6/hPdVQHARBFKFsaxR01QjpC9QiyCMkawke+B33w0O/+9txp7veCdF6gKs2r0a8Hks6pWKhT8VUv++aA4A8DllYsxuFIL0Hx928M2DbSVuy6NAliMoIyTRCUkQyHTTcIBBJriHuwM6GnCQ6t0dzkpZax/qG1dYjO1vjlg1fs+LcNYHjJSUuEqRjdrD0wfFGUkW6Tg4cL9JS4LjhJ7GRkShBuwLHj3OlOIXf7pJLX7zx67WXV7Puh3m3j5ElrLjFp6M4RFe2SKtMmvztqGFx8WvrezfegQPhu4PTgq+ewmd/jYe2ZFZ16pxut9WdgRF+ZHzV1ouasjojGKSo4xZFVCHJyAChS4xV8BjsateHF4ld4ltnTp3zuVkdid9xtjDmOEHrgjITIaKS+sEM0HLZtAdfzwXHM6McU0DgODXAs1KAF5OpWUIgloa9R0WRLtUiRxCe7HHpjTPBc6mVLTj+y+xrZe7hmAu1c0pvaNy3AsdvVtP1qCe7c2fc44b5uTQPsi5Jc79g8iFTWM7FiUmqsKvBGpDcZlS7BKIIZlLLNj7NxaxRC980LXYvuGs+txoxn4SpQO1aH1X4kh6gdfuICcECWkkWR6D2rUT+BC7pmzERXbhQbYxcQ7aKk23XomP3OP+QgRLVKOJipt+6msyrEViNwM1rBLyxpJ31fJs6zwPmqcciSO1NJI1hXBK8dUAEu2ESMtvIdI06kPzWEMAoM6yV6/izD1+GS1/1S9LjTdvcWpiVy3g4wkPQi3qlixJOLmPxhpbu8MX9EfhghsEC52MeHzftJd566dtw5tmnyWNha7SJ9XR4BCN8fsY7mNdH28Vf287+uuwwPBLmx1/vmRcoSCiMUqApSbZtBRBzbza9coxnPf45GF810RpJgJm/J4PS4yHHAsdtVWHbuAkGkCEohroA+1rEmmlb4hVveDX+2zffFj/yPT+CdlJjX7aBclIhiQZoyDLdAcn1h8P/fQ449dmb89kWkgEdB5jULGFMUKYF7n3uvfH8i16ErWATdcb290ayFcI32wZJFKMmYM6OqWVvWQ2SMcePAMfZtcV1t44ll0JgT3UQdl1VLbJ2gM0vb+KCRz4b6+U6kphscUqu0KeOmuAms0JZhCMf9pzSef4kk5ZgN9nnEsXtBGwVe0u84xPv1E9KznCcoipAluXYrscCxwlILz8Ayw5c7w7pgeME6mn+SnD8sx/9PN78c2+7wcFxE7/pZIPKbKpkd1zSag69+/cuRXWbDpNsNGOOm/r+iWKOm764NGdDyhL1wPFJLsZqWpJ85MBxLxW4kznueM1m9TSfzx48VXc3ySAEx/knafR9JE/42CkjT8mDGHjjDT11TIl1PNCTJhpHCA4HeNsrfhGf+dhncSA5DUmbYDIZY5jTALdC27SIOdF7U/dIcLw/d44Njud5hvF0ovuUf+SDBaCoCoHht77XrfHiN/w8svVMRBB2Gl11+ZX4j3/5D3zhM1/E7/7G76PdBjAJkQUDZHGOqqpR1ix2AEkYIKHfRdepCECAnDIkfFwzOG534KwIMTtZvwZ5QHm+f9aK0/MpsM6B2LHAfaT17zdWsrp9nFShK3fMOmwl35GmkpYhAxyMa2GIRD4X7EBJsFWO5I1RRy0mZNqftoZz7nYXPOjch+IeD7wnknXrMhlRgmY9t86XoMa0niIgCcaxXn1XlKTD1GFkv6OMyAwc78mZ7wTH/V4tLciODZGUIUKqD7DLhf9R0jUhcY5/t3jNwrQVCXy0mxtPe3C8v85d32g0yxIc6993TZhJtGOOl6mKVMkoRVrbvOCDkircD6nbJG1RDkuUBMc9uZAebNTZ3wGO+05p83W6Lov79T2r1etvtBHwuJhucdcnIqUFSyZtPvVL/vNOQiOfSnAITUkyiBWL6kk1SpLkj4b711+OW+JLu82Esz/2u352dxRxoznnVeVFk0PT7w7DOKRzcJmUMEPnwgGf1rbP3MsWUguKM1fsG21Grr5oNgJuoTXX2xhpa8CXB8dlzMn2Hu/54cF0d1N7phX1vtiOSkYUzfWsBchu8PnDmANxxQowjT9j/eT3ag7o4ZhGvaDvNZ7VhpS2Yo5Lq5jMBeo2rBaI1YReGAE/Se3JWcqoqdgHx00mJK5Sad/TQIeFGunCCTE+EhwX0Etjosh0F9sBi4AEx82ca7c9BN444mFkJHGBE0re2MIXdqhk6MMlmPduLAf2SMkpTWZMD1BJPt/n2D5iI7qdt4oJYnaQNc4qHHfv1g7GTZdY+LtPDm23XerV8a5G4BQcAW4EDN6cwdIu/uwsbCqq78BAvKwIY1gVRq6F2qSiYsoYiNtYI8lzHB5NsZbsxVq1gfo/S5z3iMchIeO2Hpr/jTcym68Ys6PyAOwcHLcD8Sw+a45zW2Ux8wgOm7QgdW6lmZ0AW/UWzn3Uw3DeMx5vBubXoHox64jq7RDm4+TWNrNnOGJcrvOFdkuljp9XYTa+8y9tKD5LCIJDxGXOK2B1wBc/8wW85mcvRh7maCpqXbu1kwxH2UyYtGJ/JbYV2BYdr//KVaSNQtSUwtH4U9+6Rr5/gLd94BKBf3/6icvw2lddjLVugH35PhRjK+ua1aSnVtiK399O2jN9iH5xy8XXptQ3bgqB37pe6yEOVgfxwte8CPd95H1xuN3ENJ6aPiw1ygkik+3PsdE1XBYetwvI/NtrjrOLSmCkCCbUaw6RRKkM+sisjyLTcM6bIf7uU3+Pi57yGqwX67ZmS2ffJhVhlyzKVUBYfMyP1YA5K2ZMugpJkoBYFe+ZMi6w/84H8JoPvBZb+bY6HVTzmTZI0xTjthBf4GTLqsjznBro7GgIOI6ttKz/8vf/Gq9/wZtucFkVAt3EEsOu1LydCqhrUSZTvOUDb0X+DRs3HDjuNMe1R2JOKuP4UASGlOA4NcfLVACbJcNqxHd58XzPpVg261LxkZgduyxatQLyBI4TfEwb6TuzeMLv890JRnMj6BlKasgTJggUUqOaRpNhGSDeivGLr3wHPv3bn8G+cB/KKbs/YhWbaMQ4Go/EHm+bTkxyr7m92AExv8fnR3tk1FPkYuG0M6lPflbGroq6Rtu12HPWBs5/5dNxh3vfCcXWBF/60pfwmT/7c3zy459UV2RxsMBpg9PVIZMxxtUdxs1EnxPlsUDllC00XStQnA/JoUgKxH6KTa5bbjEK2TN8vRFLeqIpjnzmGeIWMRcijA9hBMgoX+p8I/pFQL/X0RrlAXKvkeoql4wvLByvZesSmBoX2wh5OGGLcbUtbXiuU0EW4jbnnI0HPuzBuOeD74WNM/dJp71JofEY7F3DpJigajgnGmTDXJ1FLEC4aed4dY7B7Tw1tJ9ysipitGsOztdWzxzXKKnjPBZjPKZHFMk5Neea09znPoKyqym18dnpYOC45u+OorvlFoY17FTfv85r58Le0kBL4waxKGGsfYKVWZUhmiTIxpmwD5/DdNwPUWaY0TZtJKtSDWqtMVyHeF7HBMdVI1mB49fnWp2Sr+2ZrHpw3BfLfH5p4LjP/JyJue57ktVoTpuIOc5bu23bruu6vx1uDC9M9+S/E+wPDp2S530dD2rXg+MWZ7oNXIWHjq4oLm4n9Z2YwIHgUVoLPJK5jFlha1j4b+n0BpAe2tKGNtdxkFcvO8YI9MHxNpK+WlQ7s8ySztAxCJAHrnrpsqoZE9w2cKHA8CorUWeVAPI2oVs0AfI5Y5wvJUOA0hXRlMzxRM7TvMG9M7pPGPxa5hmsBNf4mS0Ts9zASSWDK3D8Zj+1dwbQ06n8CgAAIABJREFUnW3x/Tm1c9tMJnRcEhyPEJcxUpq8ME4RBFgAx+1TuFBx8yrj2bxGRwPiwOLbbnwIHHd7JIHj3Gi6IoLde5Qv6xCGCeI2QVRRfiYUcyPnfYxYcgSKAg4cl2Cvsn62ZneoAupTttpUIW0FkHfc/FO3lSyrher4bhzF1TGvRmA1AsuNAGOqIbQenHXCTLNN5E6QvA9+2muNOV5Jd9iC2Rwcb1HUU4HjFU06MRCLK5+keMcrfwGf/u3LMJiuSYbAP7yB1yIYoyx39seD5EYOsDhpBUK3eSFEQnFWkg7CEEVrEgRkJXdJh3f/2ruwdvoAWBNZzyt2LQyhAGv5ac7Bgp1jbG31i2zoI67DNeC2OqMZe8md+QIxQbTiWeFTQ0Bw3K0ZH373B/HBX/2wwHECswRZNVIC1Du17/fBcT+Cxn50I9w1YlrSjcYbbBKcmXZjfPN9vxnPufBnxMiMsggv/Zmfx9/8+V8jb4fIsSZgqdUBLcIfO8FxPybzkXKFDEBgWVVR9mYsPWQa05Hcw0LG/rP3482//hYEpwU4GFyNbsD1ikxvMxhM41T/Ph5wnJ4ezK+Zi2hvJIa6mdeJGcocmSx1muARhA0sL8+qAT7+K3+AD1z0AQyKgZl0Un6A90FtgBAZ5EfI5tgVmk0Tm8shasnakI1JmKzANBnj2x5+L/zURedjOxvx5pF8CMHxJE1QRRJKs3V/2drAckGjd+wmG+7BcQKwUd0IHP/CH/4dLnru625UcJzXkvztKmlQxBO85tKLceDbznSa45WLaSeQOa6YY123TeQkj7oISZUgpd74JJVs5Sw99VJ5fXDNadnOunXdjck0WMaa1G5mzkbJiqQxaUsZLJpUnoBgHYdjjFOmyhsIO8g3YVfPuMaecAOXXPgOfPx9f4g99T4dZ5al6sSoqsrkmxBgkA0xKrZlnsl73x47e0Tmk+dYIIoHxxN+R9fpO3i8/MyNjQ3c8RvugNt9y9n4089dhq9+7WsYb4+RRinaosMgNJM7/vFrAtX4yYZmAa3srCOez1Fuig92avDz1WjKThrei644dbQoLQkwdRLYTTSTQtGa4vSoHVvcbtt53LKzJ0DKmOs7nNy1WADi5+uWsdwMkPUReJCsYVLSQaBANsx0fQ9PDyMcBLjrt94Vd7nbXXCfB98Ht//GOyoujLsJ0o1Eef3h8Sa6OECSZxpT3ocBNcDrSkUB6zIieD83G53Lm8wNLI0k6Y0trYgj5rjxbUx5XkAg92jEECKEU8goleQ6jjnnpDp6CY7T+45/GKNkZOnXaDvtuVeHH9PlYDj/Lu8JwiM1eSEDyAWON7l1JY8MHKdHhi6lwPEObUvmeINyrUJJ/ITEP3W9RYrfrllppjk+67B399hJCr3HGblXb7eQ5oqVIgpYsWNW9/K52Yw45vNLY4wTHKfha15nYIWrbEqUbXVFMozet+e0A68P9gdf2e2jvNxdeQqeNeVVyk38VHXV9NlR1e6Jk05VvPGALASyeKxlkgAMW/UnBDsDIG3Ysn+TGYZT8MpcwyH5Fq2WzX4xEpkTRpJLCKaWhBPQDlnA8B+jvWyv3aMLlchXSWlmGBkXKDJCe3pjBN4QuYWNldRIkioC3t2G0m9G/WbYqrDO+ZwGiEkrN2rKWVR0dWbSph7c1dzZXZPuxB3tsZPiWdqysJGy9WieTtABnW7iMtwhOE79cSHGDhyPXCKjbNcM1ljUo9499cYpq1Jybu5S5jNPlaGXI0LWuEy/nGGNB3w6Gp6BhSx2epCxwT+UVzHGiu/Y1QZMFvfmMUBCDJPTkvp/MmpuxTgiI7CjGZYDFTxz9MTNitUnrUZgNQK7YwQ8OG6rvzGJ5zH6WIVPzzw23hfBSeaU5BD7lm1qmPJfLdI8wXgyAcIEqGMMmiH2BRu4/G//A+f/6NORbuXSa5x/l9mheTBmDrv2QAZ9rzetnDPf3bcrpzH2uDEIudmVnnYWYqvcxOOf8nh85/c+1E46n4PNdvKeJ9gZkGMiwA4acsG6f7SOeb/U9Zb5qJdDsE+YsfOdXEwYG/hQTiukYYKuaAWictBfecHL8eX//Q/W/edYksZcZkE1lEmdZzXuBMbtnFRy1lhxnXG8S3UVTYIxHvfUx+JhP3IuyqpAupHh3/7mK3juU56LDexBPQKG4QBVO52xYf0Y2Ap/JJh2dIAKBs5Ln5Ysyw7jeozh2houH1+Oxz7rsXjUEx+JzfwQuo1WwFhdtSoUp3FmJJAl0WFfZBFrUr4dNOQkmENwxboRaBjOB6XJWPuR3niTScP23a/+ZXz6/X+KYTUQIMdiRF/jmOfix39nF6cfK7mrSPIy0PWi6mUZTDBOR/jhp/8wvutJ/x2jdCzzOP4uqDkvgS7jvCbD8Tg6F5aatPM3ccbI/DuOUTY1CMKGVS1w/Euf+L949QUX3yiyKgRBQVmaMBA43qYdxuEYL337y3Gr+99WzHEq2tu9daLBcTM2JEFJaRdJTpVJOcRjgomZFTCcpIpMQJXe7tCj7xc5ZkaclE/h3qtBl3fms0NwnJ2AJCw5AonmKeUJxXb1xvXWGd7VHdajNWTTDB/+5Y/gA2//TUSjGEmRYD1bx6QYz9S1GTN4oGSM0yxzb74X06mxj68JBLw2cJwxVCxudhfQm4KAJBqsZQM0XYWimqLqahnu0vxRBcsWyKOhWiuTiCauLSoWOcNS3gRNUCJNM4QlO6uNJT47fqexbrvmYxcvDRz3zHFjG7Pk4IHxxbN2n+XucwYI5e+96CP1FL/uePmSnna5wc1cL53kCucqxySJMMEUk7DAgbPPwEMf+Z24+wPvibO//nYCmgmcFy1lUtjR02BajemcjOHaAHVBbCeU1Aw7T9glVZYl4jjR+BSlazVywJ+/jm5n5fTIWdD2uuD2Cg9oC8ZXRyslHBPDEOoIAcHxghhFYkbE1EIPS3U3QHOV+40WVcAOVWJNfh114Lhvb9VGZ3kMwZcrTAHBS1LaNeRzGWXbxpFkVUQMdBsmSUwKHJ97tlV5jZLd913jJDNM4pPf4Q05rUPDgamzfrvjDKSrt5+cEXDFSoXnnqyKT8SMeDG/Y3yeYOB4JBnkdJpoTZ5206ZNu8/m+9Ofy2+x/udBEExOzkmduG9d/q48ccdwQj6p67oEI9y1+PfmLdgsHphIB7LEdG+AIiHrgdWwFuysZxvsmEyEIAAJhbuUeHlCxu2kfwhvUAde04CTTBUUgRYeySi0qcBxM9f0IoUGWhtbiowtLkaV5E5klpmaviYTKyVlbSdNJCZqdNUNJ7FpjlPCQjp1czBTscB9lUk7NKg8OJ4z8Wy1CDJBU9F8BY6f9Cl0sg5gJwS+yBjbGVpdkjozNWPXSox0yuQltM1uR1MsoyswgSSgocRcG4dOyQw14VQIGlYCNtiyOdcFO1kjseT3uvusn7CKVeGe4CIsTUNqRVJGhczx0vkE1G4T5OTG5+C4G2AmppLXalC5ohY3Vm3IFtcaITVVCey0niu65Dms3rYagdUI7NoR6GuOe5PNfgxS/J3FKdvIejk3AasOHCdrXBIHrj07IjDYtQJagjBCSICjjpDWOdJpjLzJ8OTvOw+jf52q9dk2nJ551+tynDW1O/RI4JJ3sjR6t21u7BKond6B4wIwnNxASdiMOVNGimGHSz/0y8bA5r99AuyYAZ41fsRFPcpG3nf4LDsBFmO/nYfflPGzy6YSyFEVFfIsB7jlorT1uMKPPubHNJ6gDrVjYMvOkexmmrjVpdjdC+uyx/fdAVPrVvkfWfAyozAjt0k4xkte92Kcc887AQMlkUDR4X1vfz8++J6P4PTkDHSV2e15qYjFMTg209S/zvoVWsmqEJSa1hOsJes6/u1yhHgY48ruCrzn9y8FzmpRb9Qog1IsyUFozHXCeMuD4x6oMTkKjpPAcadtJi3yLhFgT1BKpJSqxTrWkW4P8PrnvR5f+oMvYtgMJEOh10n/OkISJ04X2ZvA9dHP+UhRikRgTJii5r2igvYU0+EYz3jlM3G3h38bxvEEVVsjjWMkNC6tSoHjnBu63ieJvng0cDwoK4Hjf/3HX8aFz74I6+XGDW7ISdPJjnIbAaco2dUttrGNn3vLz+OO5359DxznzRWjC06Q5jjnL7t6xfJmIQomj1klSMYkIZlUprZqBOJmLfoMOTvA8Z50pm5HSlJENMotJFPBfZekVWLT3lffwFHAcd3LIjVR4idA1mXAFvDHH/gk3vvmXwMOB1iPNpAGCcpyKnYsAVrN2zAWWCjt+yjCpJw4ZrXN153T7EgKzGIE0HaVTGbO3SQ1ILJpZChrzGaOWSODTrLLt4uJAPJanS8h2q5DGmViZYoKEncoGhZaG24eZNoZ0WA08Ixxuwf7kPg19/UEMi/2Mkgig3m4e8HLwn+iFW69TAuPkuPsBFi0bzYjzznLVN08M0KQxUsV39i1yS7YuEa6N8V9v/1+OPfRD8eB252BdH+OMaaSJqlIQpM2dq11Kk5YsK3QNIzt3NeHSMJY4Di/JqHRad0iDGPUDX+6+D+L+33Azzb7s7V3BqC7QqXzRNKYtgGIT1BGIq6IUXQqTMRFgjhIhBPUxAliguNQgYps8tLJVBEgV2HIMce9fKS1bR0fDDfvnJiD4xxjYiYZ58ckRkxw3MnIapaSJSppdzO7rdYqVHklcJy0QhJGxRxX0ZgylCQV2X2yAseXzXZOsfc58qfyRoFeXnfcs8rn94r5OFgRnV0F/JnWCYItKyyVUflv0Ub0prXTN94T7AmuPMXOdKnDOb67cqmvvOHe1HXdOq7CdxRf3X59u119Xb4xwCZNGvMGnQPIo4ZVvAATGtmEIWIacy72/t1wB7j65KOOgA+2Evh32l7aBE3NsEoMb8vNDbjmwu36KQWOs+LNRYjJEw0zsxoVjQqlJ0xGQ6hFjQytZJKKOR6XZsSphM2RTfvyOlwT5JIeVGIrIOvQUXOcCwkXQSYoEZPD1UW9uY7ANYLj7pdcbmhK1XeRZ7sfmW5pmylZJzhC5otJ/LjRdImI2vBcAksDWMoGNTkTmVLFIHOT3p0P3feu9d0YK9bKLwY5gfGG1Wka2VknCd2wVSyT1JLtVkh4k77sbO9ttvN0Yq/YjrsWoojZPVShoRSSY41zU2JjzQ/w+pe7cxxXR70agdUIHMcIOFDYd5D35a8UVhwAbYzxeVO0/kZAT4bvFkdMu5QyFSb1RDBkOFzDeFwgiwZqbR52ObqtBpf9zmV4+4W/hKzJrOtF5oWB2vmnTYFhsoaios40Y5ynyDoTSIEgxv2z+L+oe+22/E4wxrWys1gYlOiSFk962k/iQd/zEAPGB2Z63lQlotQAYgZVbpzZqj5XdHGLmo+1/KcJtS41+AbzO/iGa+TsUyy/U/7VNUjzDHVRSUIAZQDUAb7wZ3+Ji192MZKKsg3sANwJMfQ/zZ2S//weQC6yKL+bzMAgFYOTJm3DMwd423vfgiarlPfFWYLJ4YlA6fN/9BnY/toYYc3jb5A4djs1bgkehdIvJ5ORJpXH9gMx2MGZ3LlirUBDV4QowxKTfIyvu9ft8bJfeglG6ba0uCkFFjaJJANkuLpkBmB5t++a8Axggo5WEbJ8PBF4SP8mnV8TYK1Zx/poD570vU/C5CtjZBWL+g5AW5DZcZvthQKPvxY2Z1hgoqZ5KUAQCNIWV5WXozu9waW/9x50Z8YoYhYArJbD+4ogDWVVmPt4OYSlJuBxvsnChsUEQoTSta5qDKsh/vHPv4qff+pLb3BZFc4u6mUTHCdzvKLEU2SyKk/+uafgnj94H0xSxxzXbU1wPHBSfN5jadmBsA4VMqEZR1ioIOGDxKN0nImdLZlMXjyaE/b0azmPNPPUOuD0K9z+js8RTCQQTllUguPUnKf2OOVU+J+ARhkOU/4nQB4PUEym0uMn+ExjTZnETWL8r49/Du969S8DB4G8HSCqDdCn/IaKK0eVTHHElN7QLAOO6w4/Bsoi+S3dN3YHE5ewTkpKo3hA2oPNrigqYx1uhq2niK9jUbb/OFJj/NjXd36WTlxlx37CjsLWABl9cp2gtrxjnBP8l+QSNb7bQlJPPDKC4gKsWaCIUytUsnoTdTLL3H/6PtzyTrfEo574KJx5hzNx+q1O176asilIAzORbit0LPz4woTXSHZyENz5x1yjfIfKrHirhWnWvWNruAO8FW9ncL6DBeeSZLPo5KRQNGfdmh40obrbOa+CEtKFz8pcHgyMSQLxKUtFvXHO2bRDGVKC1eYtP8t3p50wcHx2fFYUt/M0pjrnNX2syBjn/cj7kvenrrkzS+W58XingymatRYVu+/ZJcSil8tnjgTH7Xe2ciy7+iwbc1bvO2EjcC3gOK+tTH1D14XIgkkXi7DGHIwEVhbGJ6PxONoIPrp25p4X43T8QxDI0HHXP25S4LhylXF3W1zePLe+uvjxpmn3lDlQU388K9VSj45BKkBNTUaxbAiSLJfc7/qrf4qcgE1Ct6kUOB7JlBMTMvsNOGQyNWd1k8liS6aMKLiRIyCWtKgzguMVinRqTPKA7YShNqAEx9NJKqau9LdYe3aLpjHTe6kCEzSCkXRhZ1ufFjvqiDVquSM4zvbeFTh+ikyik3AYRwueiiS9zbfSBxbgZJBjrAtvksOqfnA4RFblSlpkJuRCkRzH9WIPjrPluUZJvfFBhTIv1MJ3dD7WSRiMJb6SY8PNCRkylLriBlPmUnyWiShZSGJnhEpEudFi1VrJumPUe1zb2v+Y+JqZGFsaJadCdj0LWrE36uXGgjHf1MqpmbkCx5e4eKu3rEbgJjACixCIzwPdz15niwHkBhXMuXmUT7H8kZrV4tXJDI6gogHljPUC/4papmrVdi1juPV8DeOvjvD0xz4D1eHKTBH1HtmtuRb8BHXruHw6UAPGjdm+CI57QzW7JH5l8mfnjLeUuZSIBiFuf87t8Yo3vQoYAtPRVNq7QRLK2JJmb/W0FsjEQq4HW3oUei8Z269KXu/ZMNdXd/j6rDDMkMwNPnOtGkmayjgvCzKE7PargHe+9hJc9vHL1NYu0/Yjvn3xmX6G31+jpbktY0Ebd4Jy06DAPR58dzzzxecDe4CyGJv5Y0fpvxR//5kv46XPfinWwqExTIuxPmOQUV6kw7ScYpgPsT3dQipq/uJj8VjYwWTAIQvmXI+MrReKFV4PS1zZXo6ff+vP4Rsf/I2YxhMk6ymqqkNZUT7ANJ+XeczBccut1YEphqO1zcuQrYv1PcGAxZIaaef0pC9P8YRHnId0ixJnppk/a82eHcyihqnn3vpijoMBnSlgLNCtTSpMsm2c8U2n4aJLL8aIRICYOhNmmMeOjFMZHCdzfK1ewz9/9t/xs09+8Q0OjjMisDjT1mPNHxqYl1GNaTjG419wHh7049+OcTZSj4HpLsQmYcPr7GHV5aaPAYtkodMMMmQEDM1UvohNxoEEJN6vM3DcAF3db95sxt+mPZIRUzKCiZUzOPQ6zgLHNUuYw7kuG+7/WjPPzPNMRURKbbALc61bw79+4d/wkme8FPXlDYbNUJIbQwxmAccToo4cgmvv/OhH2qPdf7Oi5TFQFsZw1xzq6gMO8HY+GGJyuj2D181WjOiVQ1kcONrlu2bGeP9o/cAfDcQPkKc5JoVsXpEhF/hNQ1EeFw2P67ZU7BWTP+oEkDedXZ84odY6JHHC60KJsVvf7tZ48Hc8CA948P0RnhbjYHwVwr0h4jxC1VEypkJIcNxJbs3WCBlOzgvTJs9DA1grTtt19PsnD9z69c8xYB2oblIR/uoYqOyZsy6Q2b7KYQN8jusD47LIe/RnqDpERaTOX81xbtS4h2HxhuA4/Y2492CXedSoI4drmjfiNHDcYw5LwnAzvw5j9Bo4bsVDkfc49k1s4Pgkk5QspTCEdXDN0druwfEC1bBGnRMzoStyv2DAYnWfOe7Acfc5S4ePZRat1XtO3Aj0Ckb9e2BW8nDTUt0g3F+3Rl7VXGNBqACiMqzjOPp8vi99JdLoD4OzgtGJO8CT+0lL3pUn96Cv6du7rsuxiW/CFd3LD191+FwyPmTQODCzBDPyIOOHWoZszFmeeXHqjsLuOzLPIeINyOpsMCVblMlWpoAe0Rl6Bhz2wXFnQMJFITadeQb4aUZwnPIntvGkMUVakjmeGHPcaRabvpq1hvTBcRJ4ZPQZUUeskd64TDmp+Uxw3BkIrcDx3TfXTuQR9wOo5Ts7t6pzMxivJSuGIFsmmwzRJttQc7HG+ywomb0qTvXBcWOOV4MS5aBAHbO/fPeGcDHBXHGrVtutsTQJUsSSIIiRUo+dwHhJwJxJKN3hffLsoCAxKw0YpzYqTedUyEqBmrIqTE7VReJZNxx/M1/yRiQnck6sPms1AqsROPVH4KjA+I74bSkH440DxWeMKcapDrHiCEN1pA2l171lW7IB3SGaspHsRBblMlLspi0G6UDeEr/x1t/ER973EQrKIaw7sca5CScjs2wJaNH00bPePDRv3Y4GBxhz3KCuHrrshl/a25StiNneX8rcLspDbI42ccml78AZZ58Bykr7vbpMyFq2/kcgq5p+dDPJFk8S71dkhUMsuz12a5f/vP7hk8xOAI9sPMb2huZzqcmqFMAzf+Lp2LxiE0Ez1xm+thm3o/RhbeWUWqRWdGMSNG0SYKsZ4fwXPh33/677yLiMLeVRLh1GFIdrZEGM97z+V/F7H/ldAUaDLBe4UhRTyRLQVE+t+M4Yz61Ss8NbGC3XAuWl0WbGgiwaBw2KcIKGZml7SvzmH/0mJtkE290E7IrdnowQUX/9uMDxOYxGtqGBppy71jodI5EmMgaUgOiQdSnizQSX/9XVeM7jnoM93YaK2N7ozhdmPOHFn3QfEJ+df2DgIKU5EgxQosYk2EK1Z4oH//AD8OPPfTxGzOepN94SqGeebnq6pyJznBIxnjn+b395OZ5/3otuNM3xoC3EzOVullIURVLgh87/YXzHk8514Di1l088OG7cf5IaGAttXxVPWEAxjWN2V1h4NKa/yViGIAtXv7HgOTefkQ+Nk6SIS5nQyoA+NfatgD8X+1i4YWcDOzWmGGNSjjHIcwH0eTHAV7/473jVBRfiqn+6CrfadyuMDo2wka+rU6QqSwG/lTSp5zn0ETHiGoLKtWXe1waOG6u8/42+e6Yv9WmDpDEjUO6Y7tbuTH30I2WVru245qdkhaZ5pdN1QrgXMDIQLcniTOuRTEvRONa4SUINkOknzZ7jPMaknYDqVGSHkzxGSbE73PGOuPvdvxX3e+D9cNY5Z7lPZ8dSh2JQoAgLI5slRHNNekXdCJovnCDWTUOGvPcnmIPX8+O36TXvVvGFDysm+M4rb0Lorw6LN/49/YzAeXo4rXDtzRrTaOc8J3M2nIbIJrnwCWUJLC5SD58YE/GCzMlgipjjZIBcaf2EgeOOOR57cFyXkHHcyLvcV6bEUNQxz0KmkQI199QxZWaixbBENaxQ0bONe88VOH5t6cTu/32vg2Iuq3Lkadl9RYnTyPxdmhAdoYcalLv71wNn7H9teCD8jWAjuHz3D8r8DK57HN1FZ9113T5cjods/tf2xVET3JEtX5TbaHJz8ma1VRJ6DBEzLbRddII3oUOd1XYdS5YM25gmnATD2AZU0AAjFTg+a0Vi1VPMcdMdFxeBIFvYiS1OY4liMEWVFKhDMsdNuoLgOJM2mXFS25wbXs+gcG69StV6CVrlHKgJtvEPN0pmguRwyV0MTt6EptGpcSozYKW/y1/UtDPDMGvl5ryOtxLppnpJFZfroHOdScaINiaEZFUysskqTAcTmc4uMB5OjVG4zkehtNeZIZNIxL9yA6BNecWiATdaNCtlpwfBp9CSZfdaERdUPHCsN0ogUaOQxj05AfJOrvZkbsg/QIWwGdzVY4xc50NevXA1AqsRuImMgM89fBLcNyCaLes9MNw20QZUuGZzGW8qhpkOm7UjE/gRkcxeSxND/b0JZCpJFlo1rdQJUx1qcN6PngcUjcyysiBhc6NASbMusyzHH4/nzhEc90dh2/05ND4/dgf4UkOURBACVGS2BQ3qrsK5j/ouPP78J6iFnaowBMLZOV8QOBqk0mylHJihW0ajn8tw+Kc9wLLMpDDAQ5+5w1hRmsNhgzANUZaUpMk0rjjU4eDXDuJ5T/sZ1KNaxYHrzpJchJF9Dkc2JuU6pGybdJiGJX7x1y7BvluuOzkI8tepRZygk94s0B6u8ZyfugBbV26jLcR5xsZgHduTbQySgeR0PDjeB4qPKCM4+TSxFJ1Qjm/j13PUrY0LjOIxHvFjj8ATnnOe/r7VjRBm7Jr04ND1H39jjnt6mLHXVUAWk57t08YcJ0jfpCXatkLWpMi3h/iTX/lTvOe1v4JBza63PnN/Jyzu5sns8HrkAbLlOYmbAFm4Lm3m7fAQNvODeObrno5vfdjdUeT8dQCCP8z/CY5zHbc13RvpXf9zPxHvsJ2HabXzXiU4HtWNNMf/84sHccHjfuYGB8cJgQmU76oZOM6xIYni4Y9/BB75rEcvaI6T333imONOcopgNa9RRzPOBNE4QjbN9XffYG+xx1jOKhryXiYmHlqMMd1/lxqHLH7QeL4ChtSgNwlBgeOa7/Z6sRhryrrUAlqDiEXDUHIu7eUBXvLTL8WXP/sPOGvtLFTjCnmSKlesysL0xalJrS7ERXB8J0Duf3t9wZJrB8dt2bAOCt6L866g2V2j3zvpFAeQCyxnwGbcd7Jey8xnk3QyQ2n7FnNC1bG4uE/2d1EWGiIW4gh4s6BYUTYqZHEiQlFP1dUarYU4OD0oH4s73eVO+LZ73wv3uMe34Q5ffwcuaKi2jBUeZbSHraSfzrWHOXuYBYgHkbwNyo7SUWYi7UfHWNFmeu2mii253MPPF3Cnd+5RAcP9e3xzx7qfYwcC3B2GcESRxEmUzCS76I3GmMg50wTqkEgoZ5TXAAAgAElEQVRHmTpnbLy4Djvt8bQDGxTod0cMgQC0L0T4uKtzOkrP03W+lk4WQ/eCpMWcD5PAcRbWjXzEfaYMcifOr0n7KJdYtIG64YshmeMeHOd9tmKOX+frsJtfOGeczu4Cu+fcQ3J31llHTxZ2InRVIOZ427YHm7D5+IFb7n8F9uPvgoCapTedx/WN97vmzLtxd+vyYPv08srxU8Km29smHVp69+RmLoCGFWMyU1j5Xj1Oxgj0UxKZgXCjGVhCLgM+guNTgoepzPh2guOzxUZGAdTSA5qkQ5WVBh5Sbz6sVClNyxRpwUUi1aJGMFJBoJew+Yigz3HsBRp7thkrwWwbcwmaq7bLzGsFjp+MqXPqfacDxudMEJduOg1OM2qzhIM/ZUJLAHiUSTeVSdecgEfAwSr/5kLukh4acnJOCxwfGzje63g49Qblmo+I97/v2LBxs7Zy3ptkinNzRXYGgXG2LprZku1lpDXO96vjmsUybphrVNRhT6ytETTFcUZ0M21Xtw2YMdxWklq7bdqsjnc1AidkBPqgh5GXvR6pX9bnxmIWt61wJ11xZ3yJqrG47gByAbj+70okOmlDx2TeFZaLEJihJm4cpgpiLz3/5fjrv/wCNtI1RA3BdAIWIfJogKIhW9KDKAagyPpzxhw3zxV//B44MKiDXXW2ueG2nexxmruR/TdYz7QpvuS9b0c4CJEMUjH+pDueUyt7aoVE6sQubKAc+On0TZknLZsCGURhcT8S097Gu6+bShIEv5FrAoFZTEN88oN/jPde8l5gyt8dTVLlmqfHHKAmusq12MaUuWARVdh7qwN463vfpGVXGBRXkbZGlKaI4hDVSEOFz/3h5/Dql1yE04YHTO84TiQ1QOkGzg9rod8J3e+Ua3BXzkv4zNZBA3UISFFugJ4Z03SKX/jAJYhuEWN4m3UcnF59QpjjPEN5lzhZFbHEWmufZuGHCpTTaKS5sRGuY2OyB697+pvxN5/8GxWufS7tMp6jDv58zPvguJV+uObn2EAdtBglh3EouxJv/eibsPeOezEW4zIwaUUeC2FoSm44+ZeTrTnuwXEV9qkh3bQCx6/+uxGe/kPPvMHBcc0wApdONoWyKhXHJylx/8c8CI9/2RMdc7x0Ee7Eg+NshGSGmpDJXZLQwI4/goaJVfY8c7xHRFIXoMBxVuQMfPGpGJmrBMMJjndDEtoKAYzqalBHBu96zk/GyBxbW5tIh7E6QJpRi/ZQh1+++D34kw99CmfvORvTg1Np86/lQxyaHsRaMkRH77GWmt+xA5/n0/aawPEj14xjx5prB8dNNsWKrsyFva64jwncE1v812+c3IrvGVJ4duDvMguiFYM9S9AKPXNmuuXXXlokiAPJR7FMGKeRno9i0yBnL3URFBieluPB3/1gPPx7vxu3ucPZmGyNkEa5ZG64PqaUx6pLFWbzYSbJLhYaRW5JaCRLr7BKcpEiuMSdup6cesfCKWrtIHM+4LH0YKye94SB2n02/hwoNyjb/9Hoz4h2um5OeqWTWbCL4irgWmerJFbKBOlWKnxCRqVcZWnCTfY4u8xzYhGUdCQ4zm5zuxnsurmNzNJ9P/ZB0hanjJu6d7hg2XMCx1l8ZCd+nSKbmkEucRUWNATmM2hRQSVqMRlORbpi1z0JRTYbzItEmdFKVmWZW2zXvMfLNu08YMZb+X/xPxZgqhAd9fabsO7C4K+y0/KXZWdFfxIEwfauOdnreKA3XXC86zKMcJfpv0/f1I3bBzRtGyIN0Qw7NJQjCKfGiOiFz+s4ZquXnaARmCUaitHmes1HjFSa4Fx8wpG1BREgm4PjFtC5sBMgVzLvWpsaVqgdOM6fXJQMHM+QUHNL7X7G3tKmwLUfSevRZUXa05KF7lg7XU63dGqJOda4W+QEsC27MzxBY7j6mFNgBJS89lsk/TF5cMW1+xEQN8susVaYqKTjgeb3kXrj1KczTWzPqiFQQEdxOotP8pH08A08351h3EgzTjtSuR432tQWjxBQa5z3aRGZWanPZH3Crie4SBtzhM72ddqYJnvaoGWCzZZ49n4pRvhk1BLhuYkRixBH8PlOgUm1OoTVCKxG4IYcAQfz6iv8hngmTqLdswPEBYqzrTREqA42/3ygjb9Ac/cageRi35mWqRjbYig6GQGuE/RYaBrEaQpsA3/xqc/hopddiEGQUtVVoCS1xhNqlFNzvJdm9MHx3ifOgYw5D9EYPwTjaVBXU0M8wrSaIMmoZU7zsxEe88Tvx/945g+gunyKZJiahmwC1IybTLjinWubB8cdmTw0Nt8yD4GxBGekJW1ArIEG1hrO3xPMp/xBPa4w6IaImxQXXfAafOGyL2AtWkNbG7i++LB4fm1HJdjEGUJLkCLqMA6meNDDvx1PfdGTQJ85eRIlIZAFaKjz3VI2hSBcjTSOcdGzLsaXPvfX2Fhfx8GtqzGM1zTmZFMO44Hp8y4c3NGP1YAoA6k9ZMOxSKNEEgVSjR8Ad3nwXfGCN74Qhweb1gIvks9y69es60zfa+NN5jhnjYwVBZAHkjqg3EnXNtgX70F6MMczHnEBJv86Raz7YW4IeCwW/9HAcSO3sKuCnLQ1AW/TZBvRbTq87ffehHIvZVbYpelyACHQBMup4TuXQ1xa1WeZSdt7j2UUxhz34HjSdgLHt/6xxFMe87QbXHPcoL8WsSPsENairArlJe/2sG/FT73u/Blz3O5kyvWcIM1xzhsV4JjXGrtfeuMkNE0zJDVpwU5aecYcN7CFjG/tv9TC7eTtZLbqzDjJFCdQOqDPju3jZl0NvSIlAdY9a+vY3txGRomPLeDCF7wG//S//gnRtgH1fH6YD9SBUrYlkjRC3bDrUsZSs2voL63fh84Z1fabfgY5f+2x775rA8cF3srIeUEsxRUxbCUiE9m6Svz3+KPwWtlH4x5ft3hgexbXsuOJO+54tLUVKMqYVyIZJqYnHtYIkgDjYgwkAcIsxgMf+kB8z/d/N257zm0Qb0TYmm7KJ0IMaxbPmgjtpFX3DyVwGhZ/eR9XLbjiyeQzordAiXZIUJndAnTHoKixdT/prGfAtx9ZGph65vfRtkFubLzp8Iyd7wbTn6MTKOtD6UeC46p1zsBx3vBplSDdJLmJOt5O9pWkOorRpLYfoWIBz0XgOLskdCxuX9gD6JcKRX3meJMcExxP21T3I+VkRTgkyKlFlvOfkkcdJoPJjDnOzpMVOL7UFdmVb+rvw3eegKRHnUQg84FWsoAdkiD7ajyM35HfMn37TU1OxY/BteWPu/JizxaurtuLK3Bufah+RblZ30kyGmtAnRWo05G14PeYmbv6ZHfhwS+A41wsHXWALcUxXZbLDOF2eB3A8QARWUVsb6QLOQ05h1NUuTEOCEiSOR6NY6RTyrQ4cJxGngTZncbiUcHxpEQnQ9cGDZnjZGiEtsHVYrnDKXwXXobVIR/PCCwwvnYmpXNw3NiFhGVlNylwnJr62XTNmAdKrozP4JlzPCxvtMIEso09OF4KHKfZiwwqdyk4biCIjRGZg3HLtuQQYRUKHA/ZoktDXsZoycvYwxiNLGtyr0zmCFCSaZS1Yj7UZGuEbM2sEDqH+LmngOmWG1eQH8Dt5Kp36HhugdV7VyOwO0fAsat7caUfwQ02MT3qmFIpNfMMmsm5P5JMMaMixheCAV4zetaZwnjVdAaQp/RLkKi3mZY1BhxQR/uFz34+/vlv/xHDkPA4GeUhSuqcOBkEpz4ldiH/WARzgKpMChcBFA/O83zIjvRasWT5pUmCUbUtM87mjAbv/a33CoQO4k5sPYIgCU05CUw6reC5Nq0DuxxcFDjm5TLXn5/J7+Cax40XC6PGDnaMRUHCBqYFZYBBM8Dk3ye44IkXYOvftrAebaCTF40HZ3dyPo8EyPsbHrN0o0QBQY9aQN0oLvDclzwP93jI3WQNItmPsgHSCOOqANIYg5yG8QC2O1SXN3jij/0kqrrCnrUNjEdjGXOK/d84pmAPqN8JZVmBw+AfibOYHo+Nida9DsNwTaz0g/VhXBFciRe97Wfx9d95F4ySEeLY3r/MYyc4Lumx0DShVZCWtEqoTtsiHGktHTQ5tr48ws88+gXINudeKf35fk3H0lfGF7GF6zN1cbGGAmTHb+Gu33EOnvWW87E9GKEkdkjwXMdz6oPjUlMoB5h8pcUTH/VkDCZDZNL5Zb4ifrVdLs57JxGyzLVTHqT5y0eLxBVVKEFDjfY2b3Cn+5+DZ731uTc4OK5dkMz/IjPhHMfIi1xguQjtzJEpg9OXVfHgeGx9L+b9Yt4xlNoQuJhR5oFdE+avI58nZtAspDlDz2k5wjAZiBW7Pz0db3zxm/Cp3/kUmsMNNsINHBgcwOjwSAB5HMSou1L65EkWoygKJMjUfTIDsi3D7P1/HkOMVmEPf9f1OBtHXMZrBcedjowvstjuwMBe+1wDxz1ry1jLVmb1RSiB57Nv3gnrX/PMsk4p17sz64ayM7RiXYswi3Dl9EokSSyZwjIoMdw7wDnfcA7u/50PwL0fej8Ea6H2yJN2LPZ3mATqjkJJXe4IBwb7UV5VoRm3GGSZmKdVUyKlYWfFENeJXU1QvFvr5A3HvU3RFQhjkwCZg8peV9wfpYH7s8jf24/Nx8UXFPrvnZ2le68xx2fxeQdz3CanAcq+aywpKTGVI57Gs70dGdlkjntZIJ7PDBz3zHEnU+H3MstFb88cp3yXxWuuk3aIrWRueFBcT+fguOvG3wmOhx2mQwPHS8p2rsDxZUPyrnzfIknN3UDShGNTD8kd7EBwnl/TDqiCg+vJ+ifjA/GFuCX+dxB48axdefrHPOibNDiu4LPdndUexJMnV03P75ruQEBfnYyV9akWXDKElauI7WPmeQZQORDGL4Wu9clG0kxhbBXx7Tg3rYlxY5yNVYPZ2mrMcW6FOPZx4MDxisyqUHrhNHpRcqyLZVrx5spsrFAaBahNL2rVyjSlwYQCfa0EPy8TxONI7HEuJLxuTD34eiV3MrRwl9SxFwisV2mhRZvgOM09dd3VvUTNJZX+b4yhWn3HKToCfVzaS3f4Q5U5zCxucHIS1JDdpDb7wTRCWgxmGz9rf/fguBl6eWY4nxc7etCY5ng6cnr6pxhzfIZgH2u7PN+GWIzlvRcg4caqMa3xkGPDXXFNiSW2LDq2IqOD3k75JWO68RZkDKeXBNsYea+yJZesk7orEEfOEHXmSE9wnPc+N0SmubgCx0/Rm2t1WDebEbjmVbQnxcARsWzebWb7rFV7eqdwxdEG0aKQb1V3r+izuhw73NpJQwRVIHM5YlrUDg8aM5GLAmtnVnv7rMA5PxuyjaNEFEvzSiBjkTEpi9FMGwPHAXzwXR/ER3/jt9jQKIbuWrqOUTkFwsQxsw2Aipysis7R6VQLUHJf6TfaXhedIIWMt3wMJXjWmQk986PtwTae/Pwn4WGPeRjKqBDAEZFZ2Vo+RrCcTF122Kko6Vh4M8EQduAtW5x1PhAG8xkbX2PdKxLHWYzR5gh7073yi/mbP/lbXPjcVyEvc3T0fgvy4wLHCVlS9qZrSpmvb+djvOP978T6GfsEjMesYVQNojyS7Ie0x8mWLysBbhgBv//+j+F9l74PeTxAVTgmvDlNqhAy3yEYGN9/9MFxscM5URw4ro5HJCq+0KyyRIX0jEwA+Vt+863Yd/YeM+wUEOLvidkMsO3JrKTch/MMWLH8hCZ3JNC6PY2AKGpCxwIhucBSxqRLSsmGkJn7L5/5Cl77lNdjY7rh5OB64NO1RKw+fKf1G+y8iDDAHjHHxxvb+O7z/j983zMega10GzVlfSS1xuMxWRVpjiv/d7ISS6NLxxde53c5r6sBlikC5EWG4qsNznvkT2I4WkNGY0qZVrLLwszwBGufAHDcR8GY3lmtqDuoeL9mLW53r9vjhe/6OYyzbZgcLMeMbFvXKTBj5B4r+u7sA1gcaHU6OD4192ZpQxlMJ6tSmlSgZ45zn+VlJRY0x0Wcdr0nJCs5cLzJOzQ5OwkIuJZiGlsRy8qC9o4OKSVZigBr5Tp+572/j/e88Ve0XxwGQ7QuviZIJL8ybaakXSHOI0kS5elAQK1n/xsc7e+jxbkxI3ItdKTYsztGZQ7UzmL00eeZYvhMeskZTzoWswfdfcnTAFnrPLWirX03tbsN3u7D+8e6IfrXuRcP/MZXptNOpjC0vXHZlWjiBvvP2oszbnMG7vOQ++LbH/btWN+/jjIqMY64P+5QdQWIrXCM2aFEdnjSkReeI5xEwDiQLJbkUVlcjkO0RYdAJrLs4K4lhchuAUojNlkr7XKaSFuscqztXgeoQdk2r3UddgDj8zXR4pMHARevhifGzKP0bPS4vjpZFfsCI8RF0toKxBhPtzPNeeYGLL5oLtEwOKyklY916KfAfydhoyKHqt1OQmzZMDTTRDdZWd/BY0VO68RX91GbIClSXQcxx9kVRFa/Ar9hJtPMZFXo10ZwXLFV0is2w32Xz1z+0sf8HbnZsueyet9JHAGLC16izM1M6+pmvCWJgwUV6owXzSjsgi+tb6y/Odof/V5wIDh8Eg/8Bv3qmzyy13VdggK3Ly9vXrB9cOsH4jAeUptMFdNBh810UwAqA4g3ffTae9Z1wgWMmx8GHwZoJpFkmVDDjXGDQKttcFaP6zcCvr2IwZcgtyVPlrSz9YdaWWmVI5iEpj1MJgs12tx6ZgZCVs23Yic15JlQVZgMWzQDJoKdGKn5OEA8CZCWbD9KzOmbKx3ZUtw8sm1aGuJOissZwnTrbIvi4laaIYy3TdI1twRjtTxcv+t+U3r1zmRBc1jTwlrELWGhuZir5MM04KjJGE7MbJYsmLBx29iQ26a5cB6Nwzmv65BMmgZlboyaJiot2bpOUNANOeJuCdlhRjprHexp6znqxaxlXnEWHbh5yeioXsYIx9QbN6Ml6vR6HUpfjLSCmo0vE8BxNJUrvERgqZkb03CO8kcEd6hnaRuHGTg0Ox7HHO9tLG7IUVp99moEViNw9BE4ehLa3+BbPOxzo+1flAhInKmj8e28BquZm9nGzh4OMlcAsW0196c1ZTNkaGeGcvI70GbAfA7qSe10xuescCt4WtFNktyuyO/1cI2Ru+Nc+65eLlaKSVoHQEGXOOCx//0nEE5bkGdK8INAbEUQgRvxNkZKw059bIsqoHYrf0PN3Dnbr/+ti9BWr2rpXkRAlAXXM+5yGl734dfiqvAKFRcnxRSnr52J7c2RDDHJQmPbO6FMKwSYbIxJYh0HMimtYisIMwfngzkeJWxkZKp1r0AWp2g3W+xrT8OH3/YRfPCXPoS0okm7M0fbIVziB//aNjecPwTH0yRDWY3QJCXOvOcZuPAdF2HS1IiDVJranFNNWCjv94CyOJwsDLD40SS44Meehc3/GKGtYwQhFaBLhGGHsCklCWaMUANHjwTg7Eg1mj1ZFW+K19CLJ4pQosS4nSBcC/Et9/4WvPDNz8fB6BCqQYkoDlCUU6QsurStmOZlWSNkcYTXiXmzPtutiw7O9V49lClh5sFcWYA5OxZ4RGL71mibAmvpGtqtEH/0a5/ABy58P/ZUe9S5tWz3pKRcmH/XHdaDDWy12zi8sY2feeNzcJeHfB3KdKrjti4v22N5hX2C5iqsS4P6OObgcQVlizlBGKMh4CejvgbxNML6dIjHPODROK04HXk1NJCBkguUgmTMcVIkx3fk1m2QxQnqulJXaxhH0sdHGiC5VYZf+PjbsJVuKQ+i7raIPTzM1gpkFiOODh4eEcdmc9PiqhVVmJ4S+EyQESwki3bMDsCY4jyzOCuLJwdyyliVb2SMYy0oZodGo+PjnqzLIlRDoEgLFPEIHUqsRSwmVkjjAUZNjUkOMY/zzQ4Hgr342G98DG9+xVuxt9uPaBorhudRJgKTanqz9WAOcxsofmTX4M793M440v8Egu0cJ+txEd1q9nfr5ln0ZOBx+If2uZIxsbt/kaNukdVfGbfiuCjh4asOFB/hN3LrSm1sFkg4jizgke1N/wPGAqvT0QDXcmoRu/TpLeIw0v677CrFeup9U7Jx3I5xt/vcDd98r2/GvR90L9zmDrdFkAYoGtt7dLF5NMy0tBfWW7fqqivUZJFIfKHsTjgNRHZTschJhmnXQ7mkuEGVNai4z2H3QGiFERrx+v0UO0lMTkUzyNYgd1H6sbU30tfxLt95pd0n9HWbHOLOV/KcsiKXXAkJPSZFRe1860gv0xr10DpZ1c2KSoayXPPUFcR5eZRU4ToerGMC2DFa54Xfi1l2xH8pryG2xaIEMZSCOJdJq3DwZVBLpntWoiXxiprj7JD3QL5bmeZD7IvyfqSvbZW97mezeuVJGAEW+l2BTh2JzB182izMM0NHb7RmgLZsUZXjf147bfDm5IzkfcF68F8n4YhvtK+8WczsruvWcAjftnVw+1XlVnlftq1mcS7Ac3t9S4wRgeNMysmUIJhFuQ2TZHLguNOQVH8/9aNKW9M6tsCuwPFlZqxtMA08VMudnLMtqLNSRWkV6jETHI+mXGDZIGwmIH5hqUPDv3hTq7cpqjBNaoyHQJszwQdimplPgHQayARRQpohwXHpVljitACOU5ee5n4lujXqGBeq/NIQxi9ETHbNKcTbYS0zAqv37OoRcICN5rEcwAm4GKPZb6KZGIof5dgv3CRnVY58tIZoQtmQWKaSIZNVzkdvEOwMnpSXBY3mX+nAcWpqKwbpu47EYW7cMXUQlEsg7dxtoz9jzs90ZA2o9nqyXgogIbOhSsVuoAGvTGPYNjvbHbj3OFjBjy21Ncc03k25KQxJqzEZAMcu8yy8/mZnvuG7WSx9N+5UWH3bagSWHIH+3bgIajsgxm+8ZxtVB46rKubZmAaUeeiAKIDYT4QAZgCE35A68MFpk5DJJb+DisBOZH+4gaT5kKSrHLNvB0vaYPY5AD/rFPJPEeyxpMGj6K6gbgOlVmjKSFXAe9786/jUR/8YGb8v7DCqJqgTY0omTYyMBnR6V4OpuMSCzZcGJ335YLo+xas+9DIM7pTL8DnJMlQHG+xd24dJPVVhl8VYxXZJyLhCgTP6XHYFmoEdQaccnEOr9dB9PvPBKpqCPLdknGJvuR/P/P5n4/A/b6IZ1xiEgwW5res79XT+oYE0XVNhnG7hAY+7L57wvCeiZL01HCIcW1rZxBNQA8Abr7bsNESALGanU4x/+vQ/4CUXvBxRnavgm+UZynKEuGsd2986lhbB8Tn8pSnSB/kdsFZ1lYDxopmq4yAd5tjc3sSefXvwhGc9Hg/40ftjnIyxNdnExr41TAjyBw3Kqkaa5SSuW/FoJgTBPNl3S1nHJEFmFt95p6TsiujM6M6AqwYNJRBC5s4hBt0+vOH5b8SXfvvzGE4HCDvOv+XWUpmAph3aukXaJNpK/efwKlz6h5ciPL1Em5XGXGcRw4FhkdjWHWqCfK7kdTLBcZb3wyBG20SIQhpQdkgrguM5/scDH4M9W3sxqNYRdLHgU8pFqPON8eb4SksuInZIZuB4gyjhXKmAOJRx69s/8YvYyrYkl8PuXO53BI6zg0Ws/KOB475Y4+i4PvY6JrTdZ87AVQWKEHmVIC+pbRwhmAAh9cY5LmKpB+hYzPBuL65hT6CyPYmAOukgAYn7thDloDOt8XgKWjM0m2Osp0O0VYAyClCsxxgfGuM2OICvfv4reOH5L0I8jtFthshbJ/fjWLzWoWAG95Y7Wv8mc3GNyZKyejx+xibXzzAjSnmgXMx6zlcVUK2AOb9TXEdjTyJlZ/xy2bJ7n8Hj9vDXzPJixgVdEa53YSiQvGlqmV/m0lov1QnEUmKcsJDTCCyn9wTNfqu2EjDOOB9vxDj7zmfjvg+9D+5237vhtne6re5Rkk4ot8USjGRF2XlEU4bECnrmubHTM8KDtNbZTflIsqyjSajiJseEXZ9cG9nAzXMh7kJwvCBQK3lEGkOzu8QK31wbWCirSZzR1Fn++l3f9WLn6wkw08ssnBB0JunJ9nPKN0IaydIfqhYbm3+vwz44bvfece/f+u3uOw6Q84U5TUyQkzkG8Q920NcxEsrQmmobqqDSHopSTOzWYMc8iyTO39PmnQriRjGwgo/tPZfuGjvewV+9/wSMgCpqDhw3uT6WM3VLstjbJkCVIOkGaCch2ra+Ol1LPpidHr0JB/D3gbUj3WQfy2U1u3A4us3utKbAow/919UvCurgbLIgqGlVr1N6g+7yutO1wPiq+Ez7ayadwYkjC5LZgjpXf9yFg3KSD/m6geOpdMtozMcNKwO92m6deYvAcTHHPTheo4gbjAcd2owan6xSA9kEiKedFoYZOO7ZaALH2SJtt4O4Nc4Qph2SOd4Dx53OOHUSLetZgeMneRqdvK8/AhyfG1stguOURHEMiJs4OD5n7c3B8f4FMkDcFRC0uWC7Voi4NCf1xDMbKDdgodiAJZeQ98gRKEN6C5RimKjTka3FrlXfFynmTDzbVOgOX1YG4OTNtNU3r0bgpjkCPVaW/bUHzMzO2BUOF0bAsx77GqmezTRnkpnsmW8PZsA23Vo+J4iEG3rWGonicN9P+RR18tifSOwZL/XhQYl5aJppsfVNtnoyJv6QVfSfKWo42T4X4GS63AT42t/+F57zxGdiLcwl20JQqVIYZNdciISe8i73JDROEJYRdFlwUiMYBDgUHMT9HntvPOnFT8J2vC2dWbLZxSAWIY1+K8YcF9eb4JJnqh1H/sPjJkBuZBQyWY0U4TXEyU7k97Kjc63cwMG/PYinfd/Tsa/bp2tD1qbYb0veGQLHaRDX1EjiAKNsC+e/8Wn4xod+C5qIsyNDWJDHTzCWDNba4crcUHIMArFZ98QbCMYhLnnV2/GXn/orTDenyNJMc61tyDb3Wrc6Yx3tooDDHPianY0Dx1tq05MRSuIIgUO27Lcsi3Q483Zn4OW/+Ao0wwqn3fo0TLoRxporKHwAACAASURBVN02WoJZZOIuFG16Bn5uryM2ufJovt7M4nQ/sCvLgU9ihXYNEoKgBeUJ1/DUx/wUmn+ukJO+6+Qol7kE6vykFnXTIutStDmQff063vqhN2IrPYgptgVgCgJzN48HxwWWy6/EJwnLHMHxvkcz1zSr2XUSWM8HwfG1SYYf/c4fRnpFjkFJk1bKI83Bcenr9/pajudIIhrENpwTLcIk1PyoOX8OdHj3p96J8XBsexpKk4hb1BDokDli5+QdLC/y8bcP4S5kb70jZnyyLlsSQMgaz5m/ca82pQSVgePGLjdwXJ9uqZyRQewZA9sIJgYVmqyTpEZN5rBMOEtEEYEaym1G6NoQVc2OgxQb0Qb+6/P/iuec92yxxekrNd0ucYvhWWz/R92wW9OAceWDnndNjWYKm2sX75hWS1wAHz/9mXh5E1/y0pByvZEkiq0dnqk/N1PuG8IvRgWPQ8yLj/6b/Mjx9Prsf0LFRi+jxW2SJDhUHcZGvC4AvSgmimGxupFaTLsJJmmBYBDgdne8He7/kPvj3g+4F25x9lnoshbTdiojYsqJ8j92PbD4EqexADWaDat1ynXJ2n7eRTdJftj5MJ6TAOPB8VAd3AaOS5VLgJzpnx8LHKecmMVRA8dZvDsVwHHqjkdFpG6RmPhEzWK96X4TEC8HFaqBGeRyfs+7J2wuHHf0WoHjS9y5q7f0IoiLwg7XlFQZc1/O5RQh5ZCCHONpMUEc/PneW62/DKfjc0EQjG7qo7hsXrnrxqVj9nIYt5scmjxzOioeG3XRXi0jNEuOzYxH0h4upfSLmQByp209U1hTEmkbLFXFd91onBoHfGxw3LdimbSKgPEidmyuyNpZ3X5Zkp2seJEGrsyrRhm3mOYA16koYdUUSCct4qLTZ8iQL7KWLl8QUUBww8IkoE2aBbd0VlM5P6yV2NgHHrhbyaqcGvPpRj+K6wmOM7YwKc7rgZjj4ShG3CXXwhy3pFGmLnRxJ6OC1R5uJITmnNz44xO8uSmORUMPQs+Z2rMnZ0xK3sdpl4nVIIZmFVrrJVswWXxS6617KNzOwW8m3jK9Wa/VikmmpQfE7acB8B4u88mAPx7/yavYfaPfNasvXI3ALDe3O9RzmK0NxgOEs7t/we/FqUPMwoKzpHP4t5kZ2ydaDcyxnvwG3vlAqLWZTHHmBMwnREDzRpuWY0jew8lMHO2S6XsE+lgh0GRVdsD7/Qzb/d2YV455ScA14HcliArgWT/xTFz9r1egqzoM4iEKMmedLwNh8FhgCNvpTRf0eMBJARdBgDIvcPXwKrzro+9EfIsYE0yxZ89eHDp0CHmeu1jK7zPzcpMUMXKAPbdcFNXIueIngVLxK8nW16UwPxka6K1H64ivivE/3/8neN/r3o+EcmTUYqAU2XGAs0ZxsbWCpN/kFgFe9RuvRHrrAaaUT+wipG2u8W4iMhjZ3k9AmfknwfEIgyjF5n8dxnq0R342T/2RJ6G4aipmO71FENELx3JGYz7a/JiDInM2qMss5wCkm0y+A4pjVNQlskEmUP/KrSvwkIc/BM++8FnY3tpCsB4g2BtgjJGkEdqIZJ95tyO/1GRsHK+Dexfl0V5T1uuO8pgMfOI8jZhjVA3WMMTVX74a5//QMzA8NMSwXlu2acBdY8qMVCC421U0kQzwoMc9FD/4rB9Es3eC7eawrrPNeOvO9eC4l1U4rgM47jhsuZk8TGhYRh5xECIpIwzHKZ7wiMcDXwsEjtNylMAljcJ5zCcSHCdbmHIa6uyIA1TUHu9aFBuFwPFmf42qs/0twXHJq0iKg9ffAba9wmSf3zwfIn+Pu32Wn8OB7dUytt4X5unEIgrBFRbuxGM6CjjODm2Hbmr/RjC/kqdOhYYM1qQ03eSuFRCbJCnqmnI09H0IsTfZi6v++Spc/LzX4Ctf/BexYnMMcObGLTA6NNJ9nUUZymZqngku3s5IKyRZOTmUZeeQ4kcvvi8M4axRiC/wOuHznz4KUGxjUdrFmLmWRBNYtz2q0xJ0l8Pl2Asm0Cx0RpJRYhW2qvnJBMIT6XZTfiVI2KFdY1qPZZo5ODDAw37wXNzzAffEnb/hLmi6EqNyhGw9QzgIsV1sW0ElofmCxUoWHBTx2RHFRm123ix4K7k9tVsXrIAVyhSSe3ljjkdIKK8iWTQXi+Sb0YihXqe2z6koS+LkrCQudoqB45r3daaudgHkpXW3ixFOmRrKsRIY556N4DiZ4zNpofnEWW71dFNhBY4fdxS/uX7AvCOAK6ytH13InJdYW4KUe/GRmo3YWfb30Ub22vy0/EPB3uDqm8OY3WzAcYXsrhvgMO4yOTi5eLQ1ekgcxGEaJWrF9+aNbC9kFJZBo5sBTNQbBTZn3sjKc83Kp8koWGK/elzfEfDguGcO+I2WUnNuXBtr/yGjlItPWJkmqGlSmlO7wPG2QyImgiWrVdSgyAI0cYA4ZWtIi7RoQX8MMrS4IrcOHJeuoza1pr/FT2koWUFwPGObUSX5HQJxi+C40/hyDJ/re+6r198ERqAHjqtgw7kjeaCdsipkjtM4p1ZCSFmVwbaTVSEz8RplVawHlYaTlFWpBI6TgeDBca9heuOPZ3/xWIiAM01dY2kf63UEwFkooKESdUepv8vneN+LQah71YHqzi+HTDO2f1LTj0WCZq11erUGNs1MzVxjhwcH3G7DFbYcOqAnl4V2bvzxXn3jagRuUiOwQ0fccQsXAfIZ425nLDFow9l5CYCxPwaMG2hhwLiMHp2xJlu/JadJc+Sa4Dhjjii5xkImiE5OuTda95K0swDn0W+ng+7MuQR4ztiQBvAb+LzYqKJo4+KjWq/DQvkji+1r4QCf/P//CJe+6d0CEcCiIdmXjuFNlqA0lsVX9Y/jYU5zrCzPuRpX48cveBwe9ZOPwsH2oMBVAm1SEfRR0gFMNqYmKyc5vKXBcYOn7TEHnI1RXAvUqqoS+5P9SK5I8eYXvBn/5xP/B3mdo64KM0Y7LnDcMX9ToAymuPMDzsHzfuE5GK/TmLRGS8YjMsdsp+Y4JVIoKcPFhWsUc1JgQCPOaYW1boBPf/R/4o0vfi2G9QBZsIaiNmBXEBlJHOoq8IC0Q4ZmOrbza2l/szWNrM9xPbHcYZBhWhY2XGGHSTXGyy56Ge5672+QXmy91mASTWQgj5hja+PrtY5NKsVYvzPOqSaq8V59oWdm7ibzazNWXKsH+PzH/gqvf/7rkW+tYdgN3bVbbv9jjPUaaZpgOpmiWQOe9ppn4Jse9s2YDLZQx4VjospNQPcmwXGOjHhuDjhc7ttPRCRlNwiNMDnA1vHAOUmd+rVphqc95qmY/GMhWRV6VvE4qeV8IsFxr0uv66twZ/IpBMdHgzF+8Q/fiuw2mZjjJP0QHK/bCoGAV7eHWeikOwpo15OyWmQxG/DrwXFJSxAoLJ0klXTW3bVyzHH1AWiTZbmXMZJalNQ+ThtUawWavFQxir+PkUokfVRSVz9R7D6Q7MX0K9t418XvxGW/+2dYw7r8IYbREFVRYT1e03yfNGN9xhwc97Iq1hF0vOC4HbkrPvks1w+fQ8rZkW5EO969XprCCox8SQHKs+6cwQaKKwI4GSEPjs+hBuuAIt0mp/wTApStFV4oG8vXszOePgXU4trutgU23/6ut8N9H3pf3O0+d8ct/tuZGO4fYFyN9D00Yu6iDtNqCkLrlHjkc8qpuxZNS3+OEEEYStOcU044yUKO70gpbo2zwi6Z45ljjieSVfHguJcV4R3OYoiB43PNca6PKko6cFyFKC9PJZbr8sz/440AnPeUfSUoLmmVKkKiznS2s7coIxpcktREoJ8KBVZg1mrXu+eOK36twPHjvYw32/czChnJ1wpTzLvYMUaiBiVOU3Vyt8y1rkz2JpemZ2y8DfvwlYCLx83gcbMCx12SuLe5vPmOg1cffHnSxnelgzJXoTIvpXVFYyBOEm2iXNOXb+9Ui74YSNTDzsw0iECNC3g3g/lyQk/RKlc2BVlpncktKAmmTpkz8qgTsccDmiPxOSetIvIBC7Vti0QC4lZtp9FUmQRokhBxEtF1C1HRIPbt0y1fw+puKDkdR65xG1kmkTW6rEFLQ5CsMg2uo4Lj9n03i0hxQq/8TejDZjHh2OA4Fx+1iKIRsyitsusEjkszl4ygkMlVZ5sHMhFi6sERbOeEPvnguGfC+avqGWdHwDc7WJXU6GNrNjdTrYmjGqOKm8wmNh138xy1GEF9PI4jz5/O9okxMtq4Z4YkjUdWwN3ma2Gq+a4PA9p8vFjdvzeh+3F1KrtrBI4w8tUi7m74OavRCukz+Ny9xvxfDADh/01qwdnkGcPZMXwJgIc12/2BoO4kWxLWpuXtgV6jyjp95pkWrz+aHnPS836FYDD+LgLUZDrOoo8vnov2ZvqsBpCzkGqFzigL0Uh3OUa0GeCpP/wUNFc06CZsj0/FCLRNNZ3UPLgaivlpjsXLRTA7kkbxk2bP2VkZ3v5bl2CyNsFWsIkoN1DUgx8SxPIEEcccp5bx0hmQPouyFPTsILhowIKkQyRDRhO2EOk4xcahPfjpR/80xv8yxhADhPSW0Jphmr/LPPz5B3mHrW4TP/T0H8C5T3oYirUSUzKpCAJ1lMOYk2Okhy7meGxAeUlt8hhN1yCuAuzDOt7wvAvx2d/7LPJ2HW03MOB0Bo5b+7KuppPxm0suHMnZldmepqWZ/lFPeFoXSGhSKvZvi7X9Q7ztV98OHAC26jG6tQ7ICDZVlBR1pprm68PifR1SJsZ1JDhSqu8/U1FJJm5O/oVTjIaLYY54K8TvXPJh/PY7fwv5dEPGbi57X2b4TQAiIRu+QDpIsBmO8OYP/QL2nrMfW/EhIwEQDPfgopj3zmDRdezOu8OWOoTjfBNBzFbjE4Qp2rpDHMcCx6k5/tzHXYArvnAVhqVpjvMupe6wQF8SfJa+c+eHbexvv/exTg6zXO2wnW3h4o+8Gqfd+TTwdi3bCmEaoKJJbGRdAzMvhR0j4bDd3hHujH8Wp1koSrgfLkx32eQlaKprxQLOccGBO2RV7ElrpaB0UBUHqAcdiiE9ZCboQoLjlMvk/jxFoRaHCHvzDeCqCh947a/g4+/7GJJqiAwDdRkaG9/WjDzNMSq3zCLTSe3JIkodwmacqM7v45BVma9Ui/G3F/0RqgDhUk1bkdxI2x3HLN6zz73USr88sdNYevF+CxAnA0yrQueRBDHCiPfTVJrRigFpi7O/4Xa4x4Pvgbvd72446+tuiS7vQPXwOI9RNQWimGtYJ41yzh/KpjCHrlsapDrNdILijFcMuc7gVPl6wOs8L6Du9BPy3UBJmwocZ9cPJajISvVjYQC5B8cpQUJjyNZ+BjwmM930q78Zcbt/Hcf6d5w3v4pCJO8lPBf6orE41DgPEBYngsIKlk7LW2anRn+fd5odr/LA/2PvTeAsOcty8af2qnNOd89MFhJAIIZVL2EJsomiIiiLICiyIwl7iKxBIAQCf2RL2IMkgUAEL4JyuS6simzq9f4VERTw6kVA9iXJLN19Tu1V9/e87/dV1emZITOnA5OZOSe/Tk93n6Xqq6++732f93mfZwmOb/cyHrevZ4GGOJtQJKTTmjdiICRUguNByTy8mTYo/350g/gVOCX+B8eho8Tx8VgsqjzKx6adtqdmG9nji735M8KZf6LnesjJECb4JBIrthqsDu5aVdG2A0meWpp30oiTACu1Evd3vD7Kh+jHcvhz4DgTpQELW25ccblWmQW3cAEaSvBn3sANdR8tOF7DZ8IruoS6+eQ0NqQpjU9WKuBVNXzZhbnBM0lgbKRsFAkSLaOGyYNTog1rCSKoFc0gnR0FtkPAMt6VGrZwavhjGePlh/yIR2DAEucnzTPHdQ4rOM52RDIgyByPkNCQc0aNSiYSgMviDueTMeSUQJ5wT6NrD1sNWbwrGGgREJZ2zOsPON6BQWa4LQikbZU2OdDkxLZhknURbbDdkgCEciHFVIjgOBkpbAuxFEnetl4rrYo8/zZuJPBnqyJBJqmzaZO8Jt0H3NmW4PiP+G5Yvv1yBA5/BOZMNu3L54HwTo+8Y6kpf1Ra743ch+ph9192HSEI7tNgiGabXCoIkIuvGOEIw/QyVAiJ6cx6ZSEPu5T0wIQC0kYsQ9cti+dbZrjgCKp3K3GjpUwSJFIioaxbTVAJYCXGbVmLFazina95Bz76h3+JuEwEHCKTXc/TyGRQ/oX7xjYNMSVyISnBo7lajT31Xpz32ufgLg/8GaTjGTbrDYRuqBqUBLqscboAvdqaI3IFC4LzwlYm8EEwlucpACLNIUluyOV9I0Tw9/r4yie+iouedRFWsonwsMOQ0gGlyFlsCxwnmBhWmIYbuOjKV+GEM3YhSwpUXqMtxpQXEd1k7rcKaqhhqLJjAxpSOsBGvo6VeIQ4deBc0+Bh93wYdjonAXksTCxLtLFMRy3iKLw2tz9uuXt4bpRHGEUJ8lKN9fiaMI4wyzbh8/r5LX7p134Fjz3ncahioA4b5E2KZByhaalXxmvMuabybIVHHx0FUH25tgo68zwrV4+HpHPpzqRshhOKhnQyC/HGZ12EL3ziX5HUa3DrQPTIt1OcITi+WW4gXomxerOdeN173ojpaIY0TMULygKQAmrOgeP6qZZ5eviLzvZfYb2nKE3ieRHKsoHvecIgXS0TvPCJ5+Ob//+3kORjKbLo3O7BcS4J280cCVhy7SAIK4TsVo30CEavh+t48bsuwE3OvAkc30XeFDJX6rYU3em6pj2sGsUOH0Ng3AK9Q8DWXm+9Jr7oSfuFI1rjPuUlTOcfD8ReIwuOGzzcnLh2+pLRXtIfcNSiHGUovBlakZ+hSmaAqvIQj9dQTGuRb/n4ez6C//G6dyHcZC44gs/ujqYVGZWmruG7PrImRegHAhRbuT291xiBa2cQ7y0WEhadv6Z0O1cg0rXQroi2EDr83bAkwvFRw2XtXDaEPHMB+EySaUxgPLhE9qooCYSmvcw72O2cIUOw6uP0256OW93+VrjrL90Vu258Asa7RsjaTEw1hYjmqaQWzXBt/qvGnpwf6lbgiR9DLSaf2mUAeT4fnufD93zRHddY20TeRs6w76bXbm922qvmOJnjHoLSdmdpnZtFVubYNY0r2bXN+J7kFwHHWUDtZ6ItgsvacCTBcXYW1aFIQVJaReZ/HUjRlHt14RRCrhOZINHQVyKlwAYm1zlIonLoi9MSHD/0sVo+c24ExKtPOWmoGZfKfRrAK1UiiBuF4+Of47Xgdd4k/Jizw9lzPA3h8QmOt22AHKetf2v9df66c1/Kqwj4xK+gFnCcjHBdlPmlaY4uaWzlJF2ZSRUTHdVvWz4OfwSG6W8XUJjFXpMQVq402BJwPHdEC8mnPmdDE5weHPfIBDO6hAJGkmnjOqAEG/NOgo/S3CpxCs1p2BLp6aXj74zZEZNQMc6IWgHgGKBzU5Pgw7CmJNERQ6olOH74V/1Ye4UBSZSqLIBH32GiIK+wMMgaIHN8IKvizIyJ01ZwfFBwEea4BcfjGnlcCWO6RWGYY9cP5vgQH9EalCYGA4J2Byyos70WCYJ9AcI67MEficCpLUpwnAiSAZOYuHsETTKRAaCzOttFi1ZlCaxcgbI2CY5v3doMhGLBtSVz/Fi7EZfnc5SNwPwdagCFYbHZPqEDCywC3YlOGEMvPXFdV1R2zZMCmwunYMxA1jgL5Ow8U7aMNeVUgFdZcfIxwoozoJspmmsSbgbXFC3t7zpZg06/2sg7GZBAbBE9IzZtcCgBIbhGUhPab5DXmRTxQwTwph6cPQ4eea9HCagW1YlIwlhyBuUSGHsIQaATWJlnLh7qNJAR5+dXORJ/giKosHrrFbzm3RdhY7wXeZDLZ5MpzTHTJEqrlSotYtf5Q/3ELc8TXfFSrltQRgK0EYzlXsnP5oMGzSfUJ+DV51yML/31l7BSjRHCx6xdN7Iq2zEkVW/2zE9R7yjwnk++F9PROqZeKsZwBM4UHDeMeYNr6TzTjoO2BILIx6zeEG3uuPaxUo7xsXf+Nd7x6ndiUq2J1m4/lY1OTdcdoWMyX4Dpx4mgJ8FPZiA0xds52YXpbIqsybE2miBN90mnYx26eO2lb8INbn6ynBMvD1mfDq8XkW5KkIW1XGMa1vOLbDEpcZjpqeC4zqVA683I6wbjeA3Z3gIntbtw3kOehqv+7SqEWIHX8ryMkdcCU0DmH6UGoha7yz34tcc9CGe/4PG4ptmLNEjhRMqx1+Pj/azHREDMguLXF3Dc92IUpQKJQeVipUzwknMuxFf/5mvCHPfbUIsPptOF5rpWemmxu9fMmy3geNWWcAh0eC42gg08963PwS3udgu4kY+sSoGAjbQlgtBDWVRiImqPwyx/ZjL2AK+kud1B9kfLa0IwkOC4V7og2VsAQpOfWdBd48E+25N/SY1Hi4fiHUMwdEQCSG6kpgo5Lt+NUWYOQn8Cv4jw7S99Axc+5fkY7YGYxbmItbvG/Bf6vgDiJLyJzIiJRU2ypmbCc+C4Wlgu9uDnD0tzSs/QcdR9QEBjM3i8j3s1DU06XRbXBuB4fxxzm5/5tfGqMDEu1+LSy4UkQp3wm9zqprjbL99dAPEdN9yBjYrSRKYo1uSynoX04HJdNSvl7Qct3EncLMdpY2klqnAcWXAQCRXXg2+keJqGckKNSD4pIa3v/NZihK5qUkQ08qhBGQg4zjlCQkwnLSJdVPQQIjCu6xS7tttAZod2TVmZFluKmGOOL3b1tvsq2bdYGBJw3IWT8d7n7sQib4uS4HhYSq5CcFykWQdeSGrWuk0IbgmOb/cyHrevF/KdMahvRN6Vpsa6lrO7sm7rr2LkXL5yw5V3OhPn+8fbQG3zzjx6h6tt2wlS3HbzK/suDZrgdpUEhg3qCGLSWfo5yjaFI3pXZHCyuqtVXnFLNqwFKnItWnk+ekfvujvy/UKAATguAHnNpFGZK2SOu2J6EUgrH0FvbqrUSwvY2qi91UIDtzKixCz5lsxPhwEeK9VWX1HwOEmAqGesZpxkjSszlfp3/aZmMkINiZbg+HU3EY7id+o6Cci6MExGy1IhiMH5SW1NBpAEGsJCmeMSKBJ8IIvRygKxXmOmFicYXdoJjhdkUySNgOOlz4BRGUi22fBIDJ9lUmrC2v80BMel6EStQmMepF0f1EdpxbwpniZSrWZRyurXqk6j1bXV2qMorPhMoth2WQojg1I1w2BTx+BAiU4PjHdAxBIcPxJTZvmZyxHoRmC4bsid2xXULLCwdbDkFbKPq5QAURtlfhPyoBSeJwxxYm6uMMVdfq8J4ij7WQpunZyb9IV3be2ylprlo2OCG4DcqKLoRxrWl7DWRHuVsYNliZNxrC3ijDG8yNOYggm+NwBZjX531dZwaaJXZ/ApUVCEGBcTvP3lb8cn3v8pTJoVAfgFYPEc5FWJwAuFtSxeKXLAi5EzrOaz7wZoSxeN32JPtAdXfPitcG8CFGFmTEaVqEBQRc5FAya5ONanZZFpLRIQTqHSKWTJM6ajCh49Y7xM9oBxNcbKbBVP+dWnovxWiaSM0LY1KmRi5NjU8/DU4RyHyMy7LWb+FD/30J/FE89/AsqVAhvNpgDMBBktL34o32FJGzomPtIiRbjqIs1nwl6NsgiTzVWc/7gX4Puf/y5G1UgAbgHBQh9FWcq40u+orikZsD8ktv95KPw3BIMp6eH7DabFJpwkwo5TT8Ibrni9zAZ3FSg2a4QxM5QcTtgKq7RNHLQjDxt1CoRkq5LcowV+XtfKa4Xk6zdkFZNt3CJwE/h5hO//y7dx/sOehVP8k7G+WSJ2x3AIkC0ILkonglPKtZ4lKc5/7QW4zT1+CvUKNZKn7PA20jq8dahdbPfxnpRypMFxzkXOAelgoLxOU4nu8Go1wpWvejs++e5PKXO8CWTdkTgQ9Ei6bsDxQc1Ob0ZZh/RrM9rE41/xOPzcg++BgjrklIv0dW2i7jj10VVSSpMkhUaHhB/bhacgsIZXasbIB3PiuE2EuEQpda5TAhTS0M3Ilui6bhaK/lvHHC+dCg2JSJMaqTND4WbwE+bZrQC4FSV9nDG8LEIwC/G8s87DNz//Vdww3oVmxpiaHdxGTMVWNwf7iAWrO1NcxttGWoXAJAsFi3Z+y34hRVU7JiRcaaFVTSsVG5DvJGrROLWlqSU13wn4hxIHW9a47CNEGDwXDlnbXOeaUi6PaMm3lTLd6Y9J6ZO4xT3uf1fc9i63xRlnnoHRzjEKehF5lOti90ihhTLrAWRMqcVPYE4n3LCy5RIP2e6DVcgajHZ7pJkPFlA34Lh4IXAOivwR9+UAbkVvBsoNqXcYZUiE8GY2We6dXPPFQ4hdsWEjwHjDbheQpGh0zGUuza82R1L9WMBxSgqRBU9PNEoKlaHIvvLBQlgVDAByOSctuvZ526KFGXNttgmOM3ziPVgGFsSvVLqSY2/MQxXrsHr5lvRkCiB9tedwtt7lc39MI2DX6gMXYYTugMCN4FUhQC+AjDJZLtebqwqv+MDKaTtehhjfcjRQOK4exy04rvt8ewK+Uz84W8/Pz7P6ND8MgdCVILIMM7hkDje5wuFGm9LqXYlmn4HKtbVn+bhuRmDATGDIXjsIZIP14dAFnbp2bGWiK7Rp6+UkVlNDE4lpDt05YUu8N2R/mUR82NJKFg0TPzH8C6g53oqusZVtsGah8ho50R7WX1796+bKH63vMg+OM5jTGcFiGgMlblAWHGdCIeD45gQewXGyFjtwXKgcA3CcSaEWbdjRUg3AcWrtWob6kRo3DVNNmGfYmBaukYCcgJAUr1rWBQT8oPYgu0HoE0TTOWqOEyxXp2xN63QjV4BcjXe16MCiFY2TyRwvAy1adRq+Bx2EAwDjBsyfTwSP1CguP3c5AsfnCOi6aVngmlRbpt1WLWEWzLgmdP4gHDIymkHvF7KbVUucwDglVMRsTqPSIQAAIABJREFUs9bOHSU2CMIwp8OgoI01lDRBwwDqmwOeLLBjwADTgibSFNp1pk5z2rLOJLg137XjTH4nSb4auFujTjLwqP9bVhniIIJLE6Q0wtc/8w284Enni972SaMTkecFqrpGEMfIswLjYIym5KeTprENcJzgVAPR7XXDAFfhB7jnw38eT/29J+Ka+moxZNO9TEEgwjNiEklgjWNlL8gCU1jGwq0EoAtL3QckBvNrISUQZBulY3z3c9/Dy5/yCjhXO0h4veWsC7iUhiA+NgcvH/qBCCjjNphGUzzz4qfjjve5ozDWWXTltSQYZZ3xLJghMb9ocivIRmk/kbwJyesu4QUhqn0NdtUn4nuf/Q5ectb5CGYudia7ME0zpKgQRwlayhOILuD8tTt4QqbdDrpn6TlyZ6zbDL7vYbPK5b0f/YTfxoPP+jWUJAlPRGcDZZMiGPkCzBSic98ia2uEkwAVUj1+E0uL6TxoPKodAo0foC08RPkIn/mL/40rXvAmTMoJ2jZC4EVoq17y4NBHXp/JseR1LKICs9UUb/qjS3DCzU9E5ufIWPynb1DL+cH2bxZoTFygR6bRR1/POtyP3/bz5Y6w4DjXINeTezRsfEyKGO994x/hI2//KJKchpEExyExC/NFzh/t/FicWjXMOxR/NkAtc59WwfGHv/ChuM+j7q3EL8ZQBOfYacAuRtd05w3BcRO7aieeGSIucUbyg/Il9te8P+OKa5ZLR1u4olFLpvBAMkMmam+eajXS+TEsTNU0gPQzVEmGNq7hSAGxRVVxTroIkwT53hJr7S5cefE78Dd/8ikEUwcJCxKlQMlSHLXUDDuac8dviqEK1vK5KpfER4XFO785/tQMdz1PDCplVtYqU2IHiQW8uqJBqmJLvuvJ8xkTtw2BKReNnGsj65nIpDQlSgLhJOZFnhhrsptmsmuC025xGu545zvijj9zJm58ixth5m8AicqrUDOcYxdEgRRSy6bq9egVtdaYeuDf0bdOm5qxnZFzqHM/0wx+3p2g7WwZMsft6kQiEA1VndKDR11uEtsK6nT7Mv/ttsV9sfAJ0LJQwrVUZaDotWRlyWw8YLXGu2XwCCbfsg+QGV8p6N+B40ZGi1JclGStQ81ZyIbnfK+475kT2DZ2tATHt72OH7dvQG9F30GTtYjyBKNmBPogl2W54Y6dT0Vr0Wtwqv9PjuPQ2fi4exzv4LiLFDcqry6fke0rzvKcYBcrvznB8TiHN6KJierP+7V1qWf1n0GOcZInc+IILtDH5ow14KLGwAKOi/kPGQo5zVADYY9LwmZa/hhAO5JsDKa0yXeH0g7deAn9y3yJpiSNihQYp2yFbNIBkyfLTtVgvNuUBwO/vPzH5iw81LM6ODjO9vchON4Ko2YIjov7u4DjpgPFMBntnLo+g+MqX6Ja6T27wCR8phWdAIhiUK4ExGEdieGHkzvCJKE5KQtgwlwyjB/tNDQsObaUM7FjUmfuS7Zdlh7B8WtriT0IMM63NzIBS8+AQ53ly+ctR+C6HYEOHJd9vGesbS146TZurdZ6RIxgKo3RyQwnCEgWHjXFhSlOczYCUCL/YdjiBkbuauhSi2T8ZiXzLEBu1p/udLXtTAGXTttBjd48RyTa5CNIwmSLmgHGKcVGIIrFTa5hFhyfA/4Z3/g+iiJDFERoCO7nIdbqXfidR5yLff+5G95U9xF+QMv9gtAO11PHFdO0ReE1Ye6SVdCQgJCAwl9ZkqPaWeDyD7wF9WopHXRkLcqSySKvgONkVRszc9m3FnvIOHiNXCe23BO4YRHZAnjUqF3Ld+B/XPI/8cG3fQjBLEDsUEdbGYUu90qR/1gsjeF1y70K6WiGKz72NjgnMq5v4Pi6r7Hjaahnr2AswXHKjuh1KJoafuyicnJkdQ6E1JyNEGxGONnbgbf/7mX4uz/7tJi1uU6IynVR1jUm0QhFnvWM3C1DuP8Z9cUbi7xxpxWbR5escPpwuNhbbODSKy/DzlN2IFz1REajzCnbQ46YOns4Pj0+HCBsUUfU9qZmsSdzmF1qLbViCPsJo9MHCh876p14z2vfhU9f+VFhxrdOpGaoApYuFgELOE4AaVIhucUIl7z3EgHKMydDE3gSk7NHgOPtkzVuwHHBHo1B7eKfvticHb6qB8cJdlI+zxO2b2DA8Y+888N472v+GKN8LLrzUs5w1VxQOlmMzeBio9fDwLpaGXY3C3XCQAam0Sbu/dR74aHnPFS1xmm8S2Bc1iTqo/ukt2rOZEwRNVfa/4jsr3XN1lEgQSnMQzFUdyq24nNdoocO111TtbCS2baoaPMuYdZSxrRBw27IeIaGHZFcozmnnABhECNNM5w8PgkfvPJD+IOLrkS4J8COYBVpMUXgB6iZ8w2oSn1SZ9VhdO23oLCaQHKslJ3O+bX4+kniOtfgWgyVpdNTe5i6I2LWmPgxfD9AVdbChrfrFT/d5TVpc+Q1tbW10yirM5RuBX8SwB97uP1db4+f/9V74pa3uyWi1QglmSWBAy/xxSOtqHK0IhsqVqPSQV2Xleiw83NtEUk6ZeRLDaxtZ6oAtOZnSxjRv5oEuVuM5ueFdHaTmk6JFe2lp42Xzg/Zf30ELGYWlDdjJxeJbWSNeyJ7JsVBh/snZZ7YDVqJ1nhLTSchytDPzeQF6gXaFcM6g84jyFwWXzTOpIqgfwCHzHEaGVIqR9QhK9TGI4ngOPMWFiapsa8gP9n1i979ZiVaguPbX8iP4XfoZP8OMM9463iBD1pujmcRkjriGp6XqD7r7gpfH94k/LjjHF864/P7+zE8MQ7l1FpSIKa4TbW7fVG6L71/W7aRG7lSxS79Ao2vhpsi2aEwj24uTIDs4rbN9e1QjvN4eU5HVujYt9wnPfhs1St8Acf5XQ2c9NlyVaxsytZcrQvOdAT3i/2kB1UDNWqLV2wvChs0EQG5qpN7sKHCfCCm77m8/MfL7Nz/PO0MtIZlTO6FMS1zUrVhO+a4yKS4CPNYmeM5zbwoB9QaQ86+zb8HxxUcLv155rjIqvBzTMJ4RK6AYXrac7VmeCqrYloh5RgJ66h3AEEQYVnkZJPofc3Xde1fVgHStGcymRMPCOoPEhwPG5VXYdFKWG72/jswnDDfPjq8/3s20/L+PSKzZ/mhx/kIzDPYLHPcKMCall4lZmsHiX43MhrsRCEQk1FP3JWlkAA5QWOrOW760TuggutSJ7dmiuoe5SMsOK7IwCBQsF51KofSm2sqICleB4ErALkAi/I7yqqojIpljCug3K+HFqwgOMCzCjwfZZELk7OugcRbQZhF+PiffBzveMVbMS4SKSRGXoK8qqUdv64KhE4gutKLRiAW7BeoqA0xQw438bAZbOJhz3goHvz4B2Jfs1cIA1aJRobIAHCiSbsNXRVrVCr7JMFxAmaiiaPrelzESPaM8ZKnvBT/9ZlvIK5jBI4v4LjE5BxzK7WxwL1ENi1NrldOX8Hr//x1WPfWRc6AbHhqcZLRLwaHgmMIDC17Dv9GsJbxJwF2gjuO1yBrChRui5XRDlT7asSbAcbXBHje48/D3m/uRZnV2LXzFFyzZ7fopid+JIZ2B3ocHBzvzRP5nNBxMWunmIzWsCfdJ5JrJ/7Eybjkv78ReZYjnPgCAFLTngaMddUiDBIhxKdVAYyNzq/vy/z1CI4TGHcLlOxY88j0TLCr2omXPeVCfPWT/4Y1ZxWznOPvG3B8gcE3hQZKJ6RJirs/8mfx5AuejH3FboBa456PnPITlLdpKUOi8RTFXhTLtUagi0Lzix3z8FXyycIc99AIOO5KASKoPYzyCP/04c/gzS/4fQHHlTlOYpUy7VlcuS7B8a50aKYHcUcyx3/mEWfiSS98ojDHCZBLJyzlVVzK57Az13TTWDumAzC95oHxvkxJUDCYUVaCQuaMY9mpQ3DcMLl5w3Q4sdXetgrfarw783IEO3yUwRRFm+n6S3ksJxITUwLu1e4S5z70HJTfKbALu6QrKG0yZVobcNwE3ObyGKkSI7il+4Cu7fY/5b9LeXBb66cUPQ3wRCNQKTiwKURaSgDf9+W+o2km4V6PitSuL3rdhZS0MsRxqOSstsJ4xxin3uyGuMNdb4873O0OuMltT0Ptlsi8TJjVNUFkrxLJFCmMcj90XAQsJnihyJA2Jb0EXPkcYahz3SJmYfYnSpGqf9ZAbnTo9WEz2s5seRAhD+aHNWSV28AY83aSiA2NOEliCw047sAhOM5uWpGSNOYexmMioxGnaHM3QMicgax3vVdk37Zf5gqzh0Z5OYsVRrd/92ukIOxxGtAWAdyUIHko3bEs6BHcp2eZMMZ5buz+9dmNzthAZ5/0Am0nAVmC49fFpTxm3+Ng4Ljtzm5J1qsCJFMX7ayB5/v/J1odXYIbuP/zeNQZn9/fj9lpcegnJvrje3Gn6Q/S11TT8kzfC+DGdInPhTlDRrG0gFqzDauzdegfsXzmwUZgsLgPtzltsRaOiCa7BMgFWAsEIKfxBVstbTrb7dnyssFuQwFFU3U+4HMZYwuBggAkE4VStNykyksWE4PKrvW6P4kOxF9e2eN2BOwcUGkAhjkqn3JwcJzBqILjIyOrIrKF7cHAcQ2eyOZSWZVWNMcLafsu+raHI8WeELa3tl+zgKXgOBk5FhzXhIgBM0Erdn/QYI3O7gR7XHbjiL64Zmb63baCqPmbaP6TXSTAeIuGRmKuGuTace77f7cEyoPOYHvvd5N10GSyndj0uJ38yxNfjsA2R6Dfve0baSKvxW6FMagzLFrhxsSXPzOzJFmB7ftOTiyVa4+RaJlbR0jl1ve2gLQQ1qxdCMGBWsHOAz1k3xf9cC1QCgN8YK6p4DjNMsmYY7GN8LmNFY38iByCaskKmcIcjQIqPBACkgbcFxkLH1EwQro7Q5LFeOwvPRxrpYLlDlvSgwRlQd1xtvCrHMbij5aS6QK0UD+a4zJrchRRjuiGId7x51cgG89QBrmyTeXTVA+XQA4Zk4E4nm/jCGS5VzkGArYEf0TWo3GQFGNc/fk9OP/sFwJ7HMSIO+kI3TeUzb7oCJRejSzKca9H/zJ+6/yHIotTtAT5apUz49iIh4hcp0C2Ju49Cm7qPG1dB3mRI6AGsOeITTYvbURwb+ZgtZjgcx/7LN78sjej2FNR4BVr8ZpIABZFYUzk5yLfgwxmT87RvUz5p+weYLGAQhlu4GGz3ETu5Dj73Mfjfr99P2TTFF7swg85vi7qgkY9ZDyqlFkV5FJ4L/h3j2A7T6xARc8ljzFxAK8IsbIxxpMf8HiU/7WJNXcNGbXI/Qh1Na+ZfjgzQTsvauzx9+BZbzkPZ/zSbVFiJlI+eUUGP+8tctwJOOv9XTv8HQmnBhw/UrGP9rbNgeNWmoayKnHm45uf/QZefPaFc5rjPB/GdBYcX1yxfZ45bsFx6+9H6HMz3MQt739zPO/i30VObW1KXAupgMW7Wtce6Uixq5ItUPZXkbIZAkAPipSe0sxFX9yfKjjO9dgxnTq6Fpv3mAPHjYSVWX95/+VJBYxb5O0UXEq4trB7ht0X7QxYc1dx+asuxUfe9SGc5J8g0hVSVgh9ZEUOnzfpgPlsj7zbP0xh1VytfqkyzF1dPxZbwLies+jEYpqA0GTsG91wAaeDAEVFfwEaV7qiOy563EY3nNriySTEzU6/GW5561vi1re9DW55m1vC2xmgbRoBVZuYPmjayVz4RCQylCTG+C18x0dEtmfpCgBPeSxZGSiXQ+1z11HjTckhWF1S2UKtJNtOaBabDlCKM2PasccPeGPrOsK3tHubsKlboztPuZEqEHBcZHfY0aVXr5eUch3IOkwfIQHHqYtPjyLOT37XeU7TbMt61/jArvuLXr3DWakO/FwFx1shQHGNdFPKqwTwK1pysshKGZVCddTJHI8aNZ+lnJDUa5bg+PavwvIdDncELGAuXZWpg5AGyllLibSvB+PonfHJk3dgB77paHvWcftYNK485gasXW9PQIYH5bvz51ez6hayzYSubE4ETbkxsSXO1iolSePCbYvSx9yI/BhOyFRPZayN9qjW83tzLt0IFRwXQDwjQG7Y42zrNJnv3EQmm6oLzow8gzxBr5l0Cdu/M8Ymc5x6jF4ugQg13AiOFygkOe6B+h/DmCw/4qgZgTlwnOxnssiuDRxvXERkxG0oc/zawXFlIFYGHM/EkJMtmAoiEKyYkxL6cY6eMbHlR3Kj7U2LFSjSgmItxk96//rwUx8+pZFyGvKI8YccvoDrvROpaPdSNoXnWklwqQC5Nbezuu59WrM/1Gbu+HnwZrBQ2Nculhr9OAd6+VnLEThGR2DIVDTyTAL8GVCcTDOuLWQQMrnmd5WJNQU3MsWNN8GwSCYhAN+PrO7BgyvS8H5Xplv/ShN9KIghhpGmc0V0xLkGqS+ErFsepSosE9K2f0sqrzIxAooQPLGQfx/nKGHMgOp1I8m0kA1DH+zQJ6NzrZ3gPRe/C++95N24+dotUOyrhFEpoCjjlSqHw8r+wvAwELiOsDBjP0HrulgvpvCTALvra3Dhm16EM+7908ijFIWTi56ymFD61AZvUDe1eGYsvv9oc7ww1xvun7VIK4gmc+WK3vin//B/4e2vvFKMSbmHcOxpeuiRUmxSt0XhERqPbQSbeOGlL8SNf/HGKMcl6rRF7EbwyVKuSzUwlKA0lO9kcfKDlclMjKdBEIaikVxTbzqJMJtNEScxfDInswBJPsKrnvNKfOHTX0CUUeekReJFAoyzU6C/fsPAtJ+0Ol8tOK7AuH1QkierUoyCBFmZ6XyPAH81xIWvvhCn/PQp8tK0mAlYFwQBmrQWlq8TOGiqHCT+ZoErYxs7lKspUYYEzRtkngI+6X+s45m/eS52lavSuUkOLKsHZMAuWh3h/UWwdjaZ4XUfegPiG0fw6fXjtNjczDFZXUVe05hVx5vJVs3OAblhVWtf5dyOTBo7BMdrtqQIgEeWu48o9ZB9I8U5DzrHMMdD03VcC5n6Rw6OG+b4yXc/Ea96+yuR1YUw8gu3UI15Fvvqmjxm2x7TGTf219PR+9uwoAlrEvRVtBIyD8JpgKAOtWBpY0CTk/XTVuWohK1scz7XQeFVKFcZ4+WomgJBHCCvClRFIxr9YRbiMx/5DN74otdhnCUQ5dvWEa178rDFr8F6VnRkKr1XdE0nA10Lp3bVt2alNn4UOc6Ft1ZNJrkecS0nS5ygNPcY6oZL0TRwRNecGuIc92gS46Y/eVPc5W53xhln3A43OvmGiCaJ3HsyrtxbGO/T/45TJm7FILHwCiGKCGHLV7NnguNu6iBwQvO5Zq1y2Vdh1mfZ/3RdkdXWFANUnZ7FJsbq/QjY7dj+Rteefv/aOlR6/2nrtngDUIOb3QOUGiEwzjifMor0AJG9Wm0cCHyLeSxzpqCF5DVxrbG+W8IVrwFlh0vHxRZwvC9oL7r6L3zRuxfqiswuIhaIIriZL/gEwXE1pGUOU6BhN3rEcyPJifKt1P9fguPbvwLLd7i2EZDi3wGKX3xdUAdS3ETOn5qro3H4vnh1cjlOxv9xHIfsu+P6sfi+cIwNW9u2DmY4Fet4VHV1/qw6bU91Ah9lVCGPcmGYkNXisPWQGo1c8MlkMO21x9hw/HhOxwRKCoD3If8QHOcWwoRMwLUmUhPDzJM2JjG1McGN7M+y6ZoEw35ntV6kcGzQRCZaFy9ook3muAHHq7iCM4I4Z1PbjRqiNv398QzK8lOOlhHYHxxXKR5haRjzm3lZFWpnzsuqHCo4PmSOX1/AcQGQ2CYsOQLBbQa/ZI4bDWEBxytt8aSrO+WQZh6CPERYhNqG7KmxKA2P+XoLeBB8qgiMRxUqmnCGbCmlXqYtVvWgggW7Onjc/OLAm5suGEtg/Gi5y5bHecyOwEBnXDpHrEEnAViz5xMQZ6ItJm+lKyw5FuG0EEfwRken42TLvU1AWn/PmEAL6PoM0Re3sQHjAs+ft7M0UlFqnFkLQCGdKuxY4VfAAiiZ5EaHvEvge1kYOQIemMQZ2uKvgI0ecy8nQ3k+5Y56lRbxU0p9UC4jjOCstxhd4+EJ930c1vKdwNQDG81jL0RVT00Qszg4LiA7eXxuKxIa1O+tCT6NIsy8KW5191vg2a95OspJjpbMt4agqicyEgLSCMLfg7aHP0/lzLUrgGMlhui5ymjkHsazCd747N/H5z/2Bay6q2iqBg01eusKgROhrRUcXRQeKfwC8Y1CvOrdr0J+swKzIBWm48hN4FGxgFrCYqTKcwxIuFazTqeGT2COJOy6xigZoywaNUpNIlRNKeBWVRPAGmFUTYDvtXjSg56AcA+w6k1EjmbfbB0x6Jppz2B/cHy++DsAsVRwAAVyhNQzripECBFFEa7Jr0EUJrjNnX4Kz33pecAOYFbkAoiORgnqshRZA49U3ZJz2cE01EL1iKCUT5PMHHnYYEqsvUrw9+/+FP7oondiV7UDVL8g55EAXA+eHf7VFyM+t8TJZ9wAF77npcgmUzgExlwXWcpCQ4KyIbuezHG+v4uSkhSCfCqDv+s2O/yP3/YrtoLjouNOmXd6q0w9xOsRHvULj/oxg+M6R8hgnsZT+Ld2cdn7L0XelHBiFxky9RlgXtNQfkPQWF1DB2Qls3pq8YHyT6KvrIraIhtSNSKPx+4WkpZa3sNyLw9yKxuimWKGXjeDjrLjgqSzlVwA0bqmOZyLaTGVwtdasIrNr2/iome8Gt/+3Dex0owl3+NcdX0fszxH5MVcMjreey/YMjx6Nd603TvS/y1GwCrrIYDtgjNBTlWMe6mRLZLz0sFRUPKEeUDYIpgEuNmtboYz734mbn/n2+GGpxEMj6ToSja1s+6KQSWvl3TDsJhKwFgMOVUKxyGHJuIS1MrPzEzFsJN7GbuOPEc8Eip2kBCUp+QQcQqy1bnXmc5WsrpJ6rP7EEFx7cA0A2CAaJuP9xG2mRxbxkkLyFbPVMFxklwot+OWyhonkY3+YDTH7klpprpiCiZ1BGQJJa4qlGGBmsbGlCti947ZX67X4DiZ8gTHSfzZAo5Tnqrh/KaeOsFxyqp4BMh7cPwASkaHPiOXsiqHPlbH8TOH8iq2yyUqAow3CHahrVecD0cnjV/t78Rnj1cDzq3TYwmOD0akbdsA67gZdjfPqtbrh1Vls4sbXBFWyGK2x5TiotwZ8jCZELBmOKwm0DikevRxzlm0BnxdUmxTHaPnaTZetvXRlJObLDcfGl8QHA/YDmL8sfprMGhUFOqYguNaHTeMggOA49Ja6uWo4hIYQTSOizZXLdE5bpZNBywqv7yFjtc9x4Kxlt2gYDHNjrSlRN3MqftHpoDKj4gpJTXHp2N4GftIyZI8mCGntt0RpLm+guMsDup5qfwRz9kWo5Q9qUZB2rrlwacuH2WRyDZicG7BcWqPK51Csh2RVCHrIqkNOF4Kk1zVZo2mpNzb/WMrOL7fvFSUrPv1cb76Hq+37fK8zQj8sJ1rv3ujA6Hnh88Cvz08bf++/91lcu9BYUr3UMvc1vVDGWYshgtTmFuwAcjJPtMiHEEaI5dmGGgG+jYV8n5dEPBc8nfTPi8SAX0AUIvxnwKNsl6ZjheymLkG+Ymv644At7qOq6GWwi1GAV0BGDLFrdEW1/UBsMRAopN+MfEOUaYSJcIgQFsQUPcxJYNyFAnz0C9crM0SvOP33o6/fe/fYbXZgdglQziVziEer8N1cz9452Ar2/wV5088/tD3sVltSNt/4I8wLVIBd5vVEpd98M1oT6zhrtIss5YCBR81Df6kn3474Lh8uryfaEjTLNAlcAuEaYDx5gTn3P9cpN/OMHbHqBuCRWSOk90diwld21rNboJgHHFlMgszVKZXf4XUANJIfbVAEWS49S/dCs+75HnYt7oP680GImeke3ZeCUjL4oWAhi1BWRp2StuCyq6IRYiLPC8R0nTP9VFTKoXH6BHcoma5h6CIsZqt4H//6d/iipddBm+TzPEYoZegoMyJXL9hUNpfPwXmO/u5/l6R33E8yBBtkPgJ8qJA5JDh3ko3AA0Yn/ey5+G2d/lpAciLoobjk3FrTCEF0AwkVkmNEXjcVnDIUI1LFEGDzHUxdlbwhmdehP/49JfgrQOJMW+lfEPFa6Kzv1sYhrNsiLvNk0xUfzsPctztwXfHU199Dva41yAt1jGajNA0HoqShoUqWOcb49XKsLM5VzgYBPquH8xxsfaF4xnT9ZmDHdUO/MadfxPjbCLGwbzOVnM8rHVmbkdWZX4lbkS+To0mtdBGWZXiJzK888NXIncKuLGHvKFEkkrwENQ1Nb55aY0Bm9rU94x6NwlKZAXTr7UVk1n6AqieujW+NEdlO3eMrApXCxZnZI2VrhtHNLRpAOwkDvKSxRstPE6iCfLv5/jHD/wD/uAl78Cueg0oGsRBgmmdqaksSSZeLD4TNuO2weOwhCSyMEbqRO5/kb3qCRYkuvVzdP/1sf+bkqTsa1XDu0HW0hxTWifl53Ac4qY3vynu+vN3wX+743/DKaedCm/koQ1aFE6hZpq+jgFlBpOUjHhH/CYo59pUtRh3eq5L/V/kVS7kLfiUGaL1gTGoN/tQGzooaoo51fACAuXaWdPIusj8wRiQDqTJht5AVp6wz3Gt8e2QsGbZJFbMSa+xFpD79VT271rlE9WAUyV3RHZkrsFE5RhZpCErvo5a1COdDywq1G0hdwb3eE0vlDkuc9GAwdcXWRWOMWVkRFs9pQZ/hICFASlIsPOMHmYqi1MSHA8rlCJrpPGLGnJuIxPpxmMgYWA8n4Q8wByUuVfpCamQuReLFtRJl/3RpdSSKUoYWRs1aB7KwPVsIoms5vTpt3X0y1h82yPQ2/tuicxNXLWlNYYENHZhViT4ssPJb10/+CJOcF8ejsK/dHY6e7d9SMfIGyyRvS0X0hh03rK5qjwv3Zv/pud4I1arq7BBRd0vAjZkj5ARyWoxzfTMAm6dTDOcAAAgAElEQVRBWG5JNqC1gUqXPMpzdTHUFG4bC+PRPgk7cHyoWcxBZZeerfBr76yE8TT0K+iOrgC5WxB0ozyDkbexDvbdptM73Ft+wX5VWkZaHlR3kTqLcYmWOm9kiYk5kT46XK1jlg3+coTaOo/2y3/0H38PDJDdpJrjNgVkVwMDEzJCNOhnHOQ2AcI8QjKNVT+RplYketCghrONEn4DZjO19+S/qEWVNCgSlRqpWbghOMNo+AjNPx5n5ermHJIlJ63mWizk75UVqEySsKTeuCcJFQEWtl4KiMFEgaASW3JdDYAJYIg8DYNKnq9HDVQGbBaU6sd96/18qBvacbzqHv233fIMrpMRUIbYlrc6UFdFZ9ambCf7UPkTgrOKQCvIbTVcdT1zXW1p50/83smQGMq3BcQpn+JRC5nt12SHl/pvAcYJiJvk3qh0muRc2cayfphdesjSln2bf5DE3KwztsVUkGEybxnPEXDQDjKCryKlITIqrQHCrZmm6SKbW2TsZ/dx3dyImtiwK9x1Y84ghe9bqqlaE0sgouZjlTCoWSiI8gjf/uy38aJHXYC1fA2jNkESJfhu/j0kyVgMSdnKbsHVHqg8wIXtYCB7AsoGZXdP7RIQ50ARrKZEFpAHM/zG038dD3ji/bHb24Ng4gNZDc/z0ASuSCDI/rPgg5/utJG8X11vouFYeI6044/zCf71r/4Vr3/265AUicwDziwy7sSAjp0EMp8K+bltY2Wugox2FlIrYbwSuFgJ1lCVFdaxCcSeGKZilqOIUzz8RY/ELzz8F4UQsZFPEUcxyrIWBnZR5Mrk7CNAA7prhN8/rN690VqW/Uv3KkrQUFZgXI4R7PPxwie8AN/43NcxqcdiguoEkYB3VZkj9HwUdYZxkMg8YJHCcah1rufOX/JflL03zh5qEmsiZEbJtjAtkkBujdHOEd78tksQ7HQVZCOe2Ki0Bu9Xj+Ci46N2Q5CI6rJ4xPnH/ZahRRAgrgM89cHnoPhOihFNxBsaOxLcosmnHtfWXEbFcmQmyfXN6lyLKWJ4qqAdc6l9/j787qufizvc+46oRiXKoERapQjiGEXJHItzkXGUXWVsAUvB8Vbm/qHu+gtO1IO8TNc6TSBqhAJFwinhNS2i2sMkG+Osez0ezg88xOWIOC6a0EHdlAirBqEboGq205dqwXDOtVy6aPyWLG4PFaVpwhl2r16F9//Nn8BZaZA2KTxP59OsquCHPtqGQKRKbNjiHa8bTYqFwdypWHGdCRBVjF9dhAR0c4o6RaC+lAUt5+8Js/ZaVropLlJKhyxo3ovE1VOkQFIhraYIkxhRGSP/WokLz34Ryi/PMCpZWNBiXO6pBwDBPSkEdOCg6cgZyA8NBK8G0pgD6Jy66fRPoPGr68r18QKaZbYCSo/cmMYOYmjLV5GxjdDBZjlDuBJh2s7g7vRw01vdBGfe+Uzc/szb4ydOuzGSlVgZ5ATOqf4kTHXjOmGo9by/2Q0VMZ8tPbQlC53cAynJwcJwb4xhvQ5ETsVv0Aa12aNqVB7vw75AJfvHAHC1xnuyF3ZdS/pv8RzgemmPqbuT+kp4P6pW1b5Ttzca5tQGV5Ujdngxtud6RwCWnkI0yzal7O42tQVodu7UqxUKyo7IemXu7S6G0JfMlT8Gt3qXk1+3t/VhvZusAQ472SipEiLaTBCSLS/VBhKbFPAXOZWkRhFrV4E1rZViy6IYUNd5T2KS5pt86HxjBzP3Ck/uFZIKPZG0ZMd9IN5Xhjsoa3kRZ1IQrcJSiqq65VnA3RiNG3xFvWAMxrWd4z+skV4+ef8R0DxYQ1lLCrAyY/p7qipVdSFxrO/y2ifwZgHiWSSkvCxI/zk5IXpLsBp/wFlxfrAc5eEOthyN/Uagbdsxrsad643yBbM96S/7Xug0vovSr2TxaKmN5WaoqhwhzS/MpmNZNENwnBVCXbMGIbYByJfguLKvdLFVDWJhgpgFXtuXNZ1mME1tr4CmnDTzYwWUQRo3YUM/EzbXoKo5z9Sav8zCuhKKqpIeqClf0JyIhiACjhtzLav22Mm+GINOMTdRZtKRAieXt+6RHgHewZx9kpIaJoVA1qZVnMxxNb9R5jiDKJUUSaZsw7PgOPV0LThOCaA+XHIa1b2dB8dL1Oxt5qdvS/N1e+PHta0HxxspBLAVkutdKUA3E9tA2CNhTjkVmuq6whCnipWCZ8ZUjedhtBLJWiRDhq38ZF2IUa7HAJqsHw2Wzd3bF622dyrLVy9H4Lgbga7ENMRRt4DjepfalnvdDLuysEhHWXDKappagFyDdSbnFhznX6y8Gd+DaxeBAJdme8I4IzBOcFQLaJSgYtInxi5D0EM9OeVBBpqyhQeGnPa5sliwYmfp6Xo2EnW0Glt0PgaUGSCQ4bUqpeERICc41KuKS75oQAb7b12pFyy1idkgGX40vUsEmZcjFHBS1/egjuHt8fGiR1yA6ZfXMcoSKZY6ayH27tuHiUOQ1UK1NtE+0DHZqz0EEhVcU3CccgsUHQhkzDn21AIuTszwnk+/B9OVGWbYhENBdAB5S6bi9sw4xby5DmQPgJejqAje+QirGOPZCt58wZvxuQ9+BnEZq4ShyBjyGngIKasjgFmuegZtMgDHC+1IojFmEyFAqEUZF0iTEtN8HSPHRTFK8XvvfyVOus3JqBqCrZRs8JCKwWaIguC/1e0xq4PtcrCLxdy90JWJVG6MIAUZsaNgBHfmYgd2YPpfUzzpIU+S6+jkHkqyotkV6TqIggBVyWJJg7zl6ybIS75Pb5qnur58jdxN8p8WnhQYH3Zt8XrOqil+9f73wRPOO1tYqdQw5l4ajANhkIPsbHDeEaRXrz6ZRQQhhYXq4Dtf+S4ueMoL4W8ASe0j9gJM2xS5aL/HBgbvvbus3rNoazueyD2QM0s5HviOSki0LjI3Rbo2w+v+4HU49RanogxLzNyZGI671N6vangU/pFOkj7OIhKnsQBZMcqUPhKPeXA80liQ4Hhbw68djLMxzn/UBbj6i7sRprH8vQpIdjbgOIsSxnBwseNX4JH3b+NmsswJgxU+CqfFNEyxb2U33vvxdyONNuCPPTRcs92AV0PJ3mQyy/ppZKqEbaozyZI9ailwenBqD0kZiZ56MlMgVNBfU2W1IKsuzNpF2MnkcSlmsZFAIe/NkO0h7MzwkHIuBRsIxz5ms1xkaL72ya/jot95NU7M1hC3vhJEnBq5iaNFqoPnLnmYSm8qkKtroa6AyhU3nG/5vUJGlgGtdw7Z3CvxKtIsQ44Ck2Ai+0NRZZKfhiMfpVNho9jA5MRVnHab03HarX8S97zvL+CEm+5CGzbS4SDMd67dTCqNlDuNi+cLB9asVAFGEr5YCKZRLzuj2FFJgNy3XZS6tYkMjBRsfXpg0BiaXyozxc/tEAYx/TR2myaPmPfMGpb6+LwhsL5/QdVqtsu4zUmCmcI6fSf4eyN7RiIMmeMuz0t8hPqZrSxzPV5+L8IC5WqBIpiXN7ZHcaBddSsPaFuSJIvddPOvEhxByknwsxDJ5gQhu2MNOM69XIyNBRxvkCWpEH8ktpH9rI+ODvtwJA7SLlopFknXLm894lNGrpKkwipEkIbG7ylUTXgjPcc1g+B4HqeoErL4GQtorkrQX5vDFOSXzg/TtStdfVY+c9H457BPePmC4QjoPan7olyogcSOSvepNJzIKzGOIWO8CBHkEeI0oQTT93BKezFW8efRWvS1492Ac+vsOjJRxVEwx9vd7Rpa3GXz+9NXtCXu0FJULXDUrDGoULiZVIYZTHNuip6X+d7JLHDKSmChVVqbUMnz57bwo2BAfhSHaFqTt4LjmowTUDTguDi8u1oBJTjOtqXCguOhMEskgNjS8mMTWWWTDR6Diqss/mwtEnBc20lp/rcEx38UF/xYe89rB8c96rQKc1wZL56A42SO092c4HgAhy22PwQcZ6Jds3MlaZALc5y6goW4oR9JcJxSRZXIB9CEiiwFMsB576rRD8EeMpnc3EOYufBzTQYEFGEgRwaZgB3a3yeMc6Z6DOzChsiGMMalzY/tlh1DRmrlup5aceFjbWotz2c5Aj/iEdBd8UAMY/3tkO2shzIvYySvHLDOuvhmQASwsdD+etuMl6gnruabUqQ2pptWUsXKNHXkA4PMD7dzWUNkrTnAYBlWk5VL0To2gXEtsknhPaKEk0nYXZVzIogj4LgxFB6+eQ8S2M9bmPeloD7lIQhstrGC4zwwYY4TMKAXQ4C1Zgf+5l2fwh+88h2YZCM0lBOJPZRVLSbHyqEeQgqHDo6b5m+INqpcLCbOBDcYE+XYE+zGM1/1DJx5/zthE+tIkkgAFZE26AwZF5uo3Ad8N0ZVlfBHEDCK1zypEtTfbnDuQ58GcpkiYY6ysKI8XSVK8P8Eo9jFSWBPDS7Viq4UTXTOX78hWKj/+WGIDWxiVm1ilARYO22C13/gDdjnraNqajGsrFg04X4WhgJsb/WyOhA43sWZ5o5RUFE7HwmakX47ohTJ7hpr1Rrefcl/x1+86wMY1QnWwh2ocgJqKo9CreEkjFEVBQI3EAkZ4SeborD2YzHfsACmiIx1X7YAZQ1l/djDRraOV7725Tj9zqcrWGnG2iOtjCarojsdGv1uXRNETsaQPz74vg/jD9/wLqy0I/gVMA5HmNUzMXn0Hc5bU3wy08CC4xyX0PWRN4W+F1m6vPeM/n8eFkhOj3HZ+y5Dza5cv0DqUQ6GmtiOGMDSMLLzGJD3F7da9QMQuRtbOFtsDm7nVT04Tv11gt+cZQTHSRRwMM7HeNuL3o5/+uA/w9/kfRUg83jcDcKKBQ72G86vqYd3PITltH+CXRecq9qRR+Y4kAYp9iS78ab3vB43OuNUbNQb8MIARd2gaV0xkCRzXCeFuUvMMtKB42KiyYVTQc8gDxDlPiKaD7KNg3PnYOC4JR+Z4qp04niG6BDVcEIHre8gd3K0Yy0kEfQ+od2Fi572GvzrX/4LVoqJao1TnoKgn8wksmFDIyFjR3CL5IcpyfJuVhkIm38bcNwwpwk6x1GIfDZjiQpJEIlsFeWu2Nkw81Lc4Z53wo1vcxPc7Zd/Diff+BQkKyOVMEro/ZCx3ULnohg4K9Oc76tAsN5Pw0+3hVxiBqJ5LrJhom8hLHIZ54ZFyvnigjDEyb5nYcgU34QaavSrWcwi8CwgtNm/uu9G/sSaRevWzTKj2XOsFNUgIlCAzY6XrTioQatlDzuU1yEIzuK2FLq1K5Q/27ybIboUXs1xCzhOn4ugRDUpJZ8ZPo5ucHyMIGW5U9cqFu/pZ1ZSKz6pkY6yAThuYo9FweUt4LjGDsZIXNQNlFRIQiHBcS8NtPP+QOB4QnCcuujaobsExw9vJT4Sz5Z7kB0AgjOq1bAgEtbagUbEDevRpAeEssa0WQs2tDjwf9CG7l9MTonfhJ34d4dV3eVjbgSW4PgPmRDtentCvYn7ZevZc6usuK3nu3BjOn7rgt6ElMRU12W2QVFXy2oRKkgkcbEE9cOEzgaPStVYPLk66ufynKwKN2nDHO9kVVTrU7UF2TJIFqox+iiNdnFOPTMF1iQMGZSS+3HeMlJb2OWMQShVQeM/GnLWgTHfEtaB4RoMWkc7XdIlc/yon4LbO4EhOK5MJu2G7JnjrgHH2f4onLc6lGQ/3gzF0MjBtYPjwgQw4DhlVcisah2C49wMF7UT2t6Z672maxsfftNIwq4PZRpRDoHnyw4PP1WNMzHRFbaTmuaZhnGpbBOcKcliZHIcterw7ikLsJdU0fe3TCfLEdr+2SzfYTkCx9sIWDMte97dJmruYr3JdQe0913/XfdBZcb1cGz/XKt5KSA42Z/mO8Fw8Vlga660kxsquMiLKJtZANoB89AadndNeJbSrlYOXct2RxoXrwYGZIzBWHJTJi+/xMCMCKPvoBIN16GWrGlTN4X7IetOP9tCrSbeWJw3bsBxTUSbNhRwXLrgeKyUHmD00Xii6zvaE+Ppv/U7mH1jEyNnjI0iwyiaqDb2nKGjHORBih5br6NhJYoOr2FgWspjQ0PkEsU4w/hmY1zxwSuwt75GTJH5n8RFRgd20buG8V7ghphmKYIJpVVqOAWw1q7iCx/9F7z6Oa/CWrkKvwyVGW2mibCnDZNYQFLuqwR3ZS/UJJHXXMl7DgKH3YWUYGhECsGJG+TODL/yyPvgUS98NPZiHzyfrNoWBc0+oxCu56Gs9RoMH1vBcTv5tEvRzAkphqsGMZmj/FuEGHEVI8kSNHsaPPPsZ2Lf1/dglMZo6ga+H8ENfGymU5HbGAcRqpyf3/WlqTqQ8EBUXEjno0LYFnyzoka2EFTUuZj5+SMPV/7plXI/FE2GYEJmfA7fVZ1/R/SEDBgn46zjSqmziy+4GJ/71OcwxhhOoTr7jEnEEJCvM+IHNgbvCmLS1q3a1oFH9m+DvKYcHPFWRyQGbn3vW+OC11+AWTNDTs+fgPu/kVSUgrvGEWIkKK9UvWLLYuy7ShadhYu/bh4cJ3OcM7CSFnfmg6N8hI+94+P44zf+McJZjNCJkRoQO6hVU5mjufhDx0SgX+mgsWAJiyktcj/H3mAPLnjjC3H7+9wO61iXnJXXzaMMjBQpTIdPt4j20KRlXAs/nbIRBWXxCJD7CAvmXaZr6BDAcVniaabLDkBeYzqshoz3Con3mhGwuTHDTn8HVrNVPOLuj8BKtgpsEsB1ZT0kQ17vaRZMYjUTFYtiew/ouqdnoF3Jahg5oC93DGjtPipQwffYicKNgubxfGWN1Jshjws84HEPxCOe9mhMwxxtwj4fGl36qPMaTcnijfo2KHlYQV/e96L7zShXDDbNFdZqsu6nHZmOLzOAMrsqRavbExKJFDrEQLOz0pDz0fKdyt5IXVh03HkMPTDeg+Qqs9HnrBZz0MyWMK7cr2Zj3Vpjpt+Xsv8NUC5sVBOBc08XiURrqmyNsntgnK9UmUQtGkhHipiMcu+tUEZGAmtwE/wwcHyuc81udYvfQNt+pZVV4Yrs5yGSjRFCYhI0i5ZrMwTHlTnO7gmRiZKiwfZkVYbMcSuVI34p4o3RSowVCnM8UlmVMhRPDVk3TFNd4VbIkwx1UgoGwvkrcQ6DpIMyx4eyKtsexuUbLDACvH+5zwipzNz7LLeqkS3XSe7tEVC4iKpI/CKavOIevImJ99fjXeM3+if6n3Ech+7uy8eWEViC49cyJdrN9gblevPr5b70eVVWnia6lAHQxC6qsEXKTdshU4AAEYM5lRYQRqMBy7QArOxmK73SYbhLcFzDBQOMD2VVGACzSq50VBYeXIQE22j4wQCCZh8zAm4MUYaPQZ1+y24/lLiRLZ+tTQ7bnkxLUUx9sEqYR9y4euabzb8Hpl1LcPw4X1DnwXEG4cKYlsxU2+a2guOuAceTmWGOHxQc16WZrxfjGhZsktZojitz3NC0j9w1GEosSLudvdkM00hkkHzRxQ3IHCcrRlq4yQTSvJ76qcaiQXTRREMxUDmVNmpQurkwLbTl30bxVs7BRsdbQ/ojNyTLT16OwFEzAh3ru8uOTfJuQeAhGKw3e88mZ1DOtYmMY4KrChVZ6E7XP2OwWVOmwxO5FE/Y4coUZ91bJFUM+1Pl6Iyxm9G7JPOlg3RtMU1ud8M+GBo0WPM3wwoXNg0ZW04pcYQkfUzMSXb0XQEyCkkqDKgiLEnT5iwMc3o6bAVHLbihgEIHRi500QluaAGeluNkZ2oRwIi4mvUuLEOM0wTvv+x9+JM3/zF2+iciaGnAWILiAvuD4dcGjivYoaCabetmMqwGXgJoQCUQUncmCf0Vf3oZkhvH2PSmAqzWJRnA6HwiFjl9Se5aT7TLMfJERiMqQ5zQrOGtF7wFf/9nf4coH0mBlVCtzjHVeCe4IMdprg81622RwMBipkuggef6iNxIwGDRKJ8A382+i1de8Qr85D1OF58ZguF5qQxnn+zashRg6/DAcQPfGo8RAuR+5KMsK2QbGXYluwSgIPv2y5/7Mi548vNxw+YkYKYkmzChEWWLPM+xEozQlJVcXxWHkJKJ8mHNfFVM0oLGeu+pKrl2dFgJAyYn+7K9eOyTfhsPPOtBYmJY0Wx27KMqSrn/BOi0GKJhJMpcyIFnnP07uObruxE7sV6vOkPQ6dGa9no7UiIz0P3QzbPYJ8uWgHolxoFFU2AWpTjrwrPwcw/+eenGpWkkO8ZEVs1KxrFYJia8BgiW89Jijl6bIydr2JctCElQq5/HWAlznGOX5Am++Ff/hovPuxij2Rgjf4JZXQgRm+CZZY4vcu/0rzG5zqBQRdCb40MCVxZleNx5j8NdH3I3tDtbMZ31o0AMXNNphsAnRG/Xf1PktIaVgiu3CNgBSGJD4amcJf9N5jYLVIPFeT9ZFcscN0Ut5lQ19aXDRgByameXyNGGLTabHKNwgngaYvqVKZ75kGcgTkdgvCzTyadMEgsPjKm5VhIcZyyp4LgRyzLQuJq2dx1Dc8I7dh9Tia+Sns9lgV3JGoo0lfU+b2eoJxXu95j74jHnPRZ73H3Y8Kfwx4EA+JEfI3YixDQELVsxBqYsk7DUpXLHdVEBc/7e7iDD4qoWWdXE2ae8GAH/ypW81gLkzGvJwJbCsi0NDbYjkScyzHSSS+TqGQdqAU1JOOFcMOvB/FqmI6a38QCO7m9evXdl/7WmI7re2B1ZrwUL2lJGG3Se6OzUYqZ2zRKsFSkYn+B4Iyam/Jl7jOzL5vFDgfHt3SjX+avt9aNclIDjRYh4Y6RdFeLloOA4u4hKH6hGDVLKqnj0JdDrrxKaC+YvA+a4sPWNVKV23Ss4znXdMsfdzBeJFYLjcn2M6DivAcFx7ZqvJA8berccWFZlCY5f5xPqMN9wHhy3EoMqMygqFg2xsRH8PEKQBkDRUtKrxKj9R+8k9xXRSaO/dRxn4zA/9rh5+hIcv5ZLLXIqGW6Mq5rHru/e+4yqqk4MRwnayENK92lpy60FFNegyKj/ya5iN2mbjNiNpd9ghlvTcTPrhidq5WY6cFwrYdYJ21a9BXKkRhvNJMTog4t+CG/qI6CriyTufep+wP3mgIUIhlcEH0sx/6PmFtkrdHAWlplNPrqk1QRiS83x43K6zp+0pkcdg0iKYQYwF6BDwW3KqljmuNMEwhwXWZXMU8ZbJ6uiXaqK92hizjWFjAuC41UHjhMYZ9BtBAmP9JXoACSTZAlDlAkUTWpc0RoPyTqqGOITmXJFO1b8uVTuUvRNqetIZiJljQiOK2ucwbOaBmnspwBAzxizSfKRHoTl5y9H4CgbgYMmZmYn7bxUOr5b1yqt4CoZnIWwOBWy1LVPQF6m86IVzO4RF75okfK7o1IqBhhn26/SYcVpUbtOyKga4vUGlFcw0PJkB+C4HXajayv6rGw79xRoIzORILkIgVJbnF+OKPVC9HQ7QIDvKTCssraNZnoXJA9ijL5Uvh1ZhJ7VSKhMBEMMA1nfVcEOFhS8mYv26gZn3/8sJOkEa+6JKDNKhygUbHeMraBZ//Mw1LfXivuVylOIbIIKbMh7lQTXmGAHNG2a4e6/dmec+5KnYV+8Id47vuOLhrXEagtOe0mvCSKEPsrQRZFWWGsn8K5ucf4jnoN9X9mLqBqBeybluxS3Z0ymppRWX5v/CsSs0sKVRudeZA0a1HWD0AkFYCJXNQtTpDtzXP5nl8M/xRfGsnAx2xZhGAqzNstzREmMuibIMBjFrkCkv7M0DGVfD8BxMUVrRVLE89VPZyVeQXpNiriJsBqs4qXnvhj//uEv4KTwRMzKAnldYRyvoC4aeIZZaosfVl1cIDgh2yig5ButZb2IZm/sjoxzvASlVahhTrbuSy96GU4/43QB2oU1GxGihcwxQ0vXoo+pz/zgy9/B85/+fJQbFUInQRhGAt57zL7pMSIzRuVuuplgCkvKPPdFLiZ0AtHaDujRFAB78j3IkhyXfuRyxDeK4cYusiYVo8ayZbHCFcm4Vnw3tcgmn2BYsNIVYkt5W2UTF5yPh/uy7h4VOIJCCpyD1GAmQcpBVMS46gtX4TmPfg4m6QpGzgRpXYpBKapC9NipAb74Q8smOvP186V8ImPTaOwUN7jNz/4UXvDW87HH2YdpMJXxb/JWromwx82cVhBM4yxlpLIIRVkGVzxjfEpZFgRsacpKGR6DxcqF6IuMeqGMBrgJUVls4/Ewz6JcXk2zdbLIvQJO5GLWlAjaCON0hI3/u47f+fVzEWcj+G5iZANK7UcU/JkMNWrdq+K64c4bsSdrfGkY1QPBoZ7CbYBJHnYYyl4jRSIC5W0KdwLc+6H3wqOe/ghsxOvATmATNAxuEHoR6MvJWJbyBPxZ3q0rzBKAqmQNqSnVRNnVrsZmuo4Mg1xXM3b+qHa85LW1Acfpu0ESGAvK7LYUjWquMb3JqcycA00f04wga/MPXZxFB3bQbb0VmjZv3nWP9Xrp5pL3BbXh5xh4Q9TSBBgnKK77ML9zLxZPIcrsSNfS/EEuup8sfh8t9koLjos2t+PBo5fU5gihSA5R7s2C4+zCgshipqOZdE9I3iPr2cLQuCnOa6A0D45rxz2Pj3PKL4ysSh4gqFSrX+eeUscFHI/JHKesCsFxxhWWsGg07PfTHF+C44vNmuvuVRoP6z0qmIFUqRQcVx36EF4WYdSuCE6WzbLKSdovjk5NXo5T8FeO46xfd0dz7L3TdnbmY280DnJGbduG2I1blHuzC8pZ/oAGzqRxXRSkPo3UVEFbtzQw0VBRf54f4N40p9/Vjpat4Ed0uQ0rvKs8Gx7DMAhW80wFx1n1FGfmmkFbCG/Tk2roAc035whxB9qENLxlC64EbUkjsircvBQct4Fjz5qz7tIagGo4PKeZ8yMapuXbXh9HoAfHmRRJQ6Yk8QxilQXoNlUHjkvbbRNIm5vVHCc4LpqDojkuLnVmo5PQaQCOU3OczHE1NALdyDuq15EZmx5isUGeSdBFTlwygDsAACAASURBVMVHSLO1aYuw8BGWGuhLFuG6qDU+g3T/idYvW25pPFqjpWkYZY7cQhgQAr4NimiCpHftyEtw/Mhc/eWnHgsj0CemW+OQQaHZgNICvnVMVV2fGIz3O6sBxo1Mgxhyla2sb1IoY6Iva51qrdp2bQvsmQ1Vk8YDGNXNw7vmeA11USBiaS+3Zpr8bgAiZqKB0VEWLVbl4ApgM2jKlzZkA/H3QhUDzK/nsHegqBmFBadCL6un8lTKErT+NQL60BS0qDAJRlhpVvGaZ1+Mf/zQZzGarWHsjVHUqeEV6yHsH9AfKMS3KzcBXJVIoVE0wfHAgO00vqtYQGjocZEjPNnB2z9wBdqf8PC9ze8jcgOEotHNUVzsIUrpVQXH95GSpV16WKvG+I9PfBGvf8YrEWx6GIPWP4EYPwvHXsgnCpALKOsqYBMSkBR2tRo0KoZE/4pCGPHUN0x8akqU2PDWcbuHnImnvexcFHGOwi2E1UzQkh5CBHOZc/JnSr0MHxbHsXiX5qaGQWlAJKFPSNcj1c9rREmEzc2p6GdHCLESTrB+1T7sanbirHs+Bu2eFjtXdiKbFXAoX0HIj0C9w7h2qC2uwhLCxjSXlQxEleJRYLwniOgIMEYQJnbQIm0z3OYOP4UXX3Ih6hTwVsls1ZuNWuJKxLaAGAQE/MSf/CX+8LJ3wa0CBH6MiuPsEbQu9F4RA0+NfvShRR0FaQHXC6TeRD3nqi0QuTQhLYTBPDltBZd+9HJshlO4oYOiyRUwa0r4gQdKOghjvCsA9ExLBQIMOLAtgHmxuatX3RSwRA9fZWnEd8WAFuz4cK9x8dhfeSzGmyNE1NKnlIVH49UZAsc3xuSLHgPHmVrjXDNiWT9I9CHk6EhxhgB0i3q1xZUfeyfSHTlm46kQEIr1DCvJinSAWHEWiV+lk0bBFq5DQU1g3EWUkuSgkpZOG0AFRYTLYRaeA4PjBn+TtYTgeBWWaONGpSu9AgWN5clt8l2UmxV21DsQ7Q1x1n0eD2/dh0cQXPTBLSNSzVz5IgXHdc7pjKN0Vj//+BcpvoriyfzuoddP43fX85E1NIasUMQl7v2b98ZZz36cGPbmIeV+ZkirTaytrqCcFWiyFieunSjM+7LRYpUtZGqiamTaeVRsfRoUcSwLWz+b64TeORb81txWyV9kkst3Ac1135QuCltAHQDlc4u/AadlXbZAuRzEPEvZPG1LdfPAcUB3DnKqg7Echt/219zapXuL628lbHExvibxJSAoruaqoj2+Zeovupcsegdt53UKjqvpuILjAeLpSDTH/Vq9IRhf8Z6qWA8T5vhMchuu2zJvrwNwXFb+jjmuGBTvfS1u+fBzdthT3pJa9iE8hzJuLOI00vklfmsGHK/CSvCQvpN/CY5vZ478yF9rAhHtFzNSghKneyqnMyUZL4Zb+nXlNF/yd/pv9k7EnzqrztU/8mM7yj9gCY4f4gVsv9eOEeCMer160cbejXs1LUIacrAljMCO/WK7Ihcm1UIz7Q0S4OpW1LnKm6RuaShnveYt80bNS4XFIG1qGmoLiUo09ci2ZRJJ5rgPZ0MXAWGXGF1TkxmZoM3SzYYbsZ32Rq/JKcFNoY2VOU5mFBOKHhwfBATm2CwwuQTHD/EGOkafxlZv3sNM2DtwXFoM2ebGoHwIjjM+VeZ4PAukxVrAcQbBBwXHJb1FMZRVEc3x0kgAHLmBlTxAQAqugZpoiAUM7806QFQFwHqNuA7hkzohGT3vOUfAcTGQUmlTYdaLj0PcSPJUegVKGjV5qj8qC4CAD+I6tATHj9xlX37ysTYCxqBaT8uCzvYkFaW2UHnfSWUgbavBLQm7BuX8kn268VBnlbCXOhY5wV+2YhsmqFLE7cPsy8OodPDn3ldE4RDxIvEZU9XaPm6SQiEWUq7Va4QlKew186USMFaL1qEfoYUuBBe0YKRlRUrr8X6g+P487YWnhAEsFGBRkFU0aGV8VL+WBqJk3Db7aqx/eQPPfczzsbK5E1EdqzGzrI/mCm1hNh+YWqjPFUiJ5seyZkcgLEvYiyWDjOMlfo0t/MTFBq7BUy98Cu70W3dFPW5QzFJhRQpLf8GTZ0IX+R6yskTm+ojdCUabEf7iLe/DRy99Pyb5CGio5eyjFHBc9TSVGaXga+Noh1bUKlNOwXGVImH8mCNFnMQo01IA/bbJkCUZnnDxU3HH+90JuZfJHFEgyRFWNDemZJQIe1yAj+EM3TJdO4qEML0Ns9OAIty3CI4TBPIDTkj1X22LBqsEJq+u8fkPfB6XvfxSYNZg5CZsn0Lsj1FUhhEsvfkEXNVsy5qhSp2Z4KR87hAcn5+tJDXmTaZdkImH9XIDT33WubjXw34R6d4K4SoBWsCvNcZWcNxoj5fA5S+5BP/4yX9E6CbwwwjXZOsYR2PU+QyUSmH3AJ9P/qvOYCtwwfiZ14esWB+JG6OuSngO9d5T1JMGN//ZW+KZb3iOXI+ODMN5Zxi3VVnBd1UuwIgNmdxAQXK5ZNtpXVhw3s6vVqZIQ0KEMDh7KcagDrFWreI3f/43kOyOEORkGQfCvs/yTYTbBMdVd5qMauZEZFh7agaJEi6vN0G5phFCxVkvfiJ+8ZG/iG8W35RrzlJYmZXwXbUO5LonOReJCqYbhPM5qmim7iCeKTgOSpogRCOSHbTvNXuG1b62+4ctaJjOQJHMo7xVbPIsdkIKc1yBUhbZVsIV0ePf5ZyE/+9JL8X//Yf/hEugkTqm2ieiBQmD+qo3haJDWhQw4JAwpnkdHNG8F5KKyb/NzmHmKsF9BqEOUr/APneG+z7mAXjokx+GZrUGxjVSbKJ1S/j0p8gLAagnyQo2924iihORoLD8KNmDxNCXetN6XPrdSnHZ7xaYF/MEke/izSIGnXItjaElO4Zonsj9s6QcGSVMbHeR2SOks2IwkQescd0STMelLWEPniysU2OuuYW83b+hS6TffIDdCyXk13nf7Y8CEOtnWcPNbt814DjZ4sIeFzNRruaq0n+0PnR4ueHSD8OBVwaILXOc4LiZ+1wHh8xx+ptxnZCXbwccN69Xbxed53q9FRznfKLBLcHxgOB4pvcSDcylwMo903WEbMUisWWOixydTGt9T91nlaQkUjxSBFRS4HaP/2i99teL4+4sQlqRdJb4R9SbWUzzBReLsgDVJoMO92vjXePLcSP8kTNyvnm9OP7r+UEswfHDuEDt7nYNNe4xvWb2kjqr7hS63HLVdbsIgNyrkMlGoLp4TV2CNkFsAVWBfC5K6lBOMEmDOxtMHcaBHGNP7aBqWWwNH8P0jw0XXwXjmMhpIs7gM8wi0TSmPTtZ5dSe7Ij73RsbkF1Y6jZYMeEWN4mOsUrt8UKZRMxiJC7oW8xNFGk2hCVz/Bibhgudzv7gOFN+yxy34DiDQkI4TGbJHI8QTxUcd2s1NhJw3ExPmutoSyTbq41+JKV+IiY62pLaohDQnMH3kWJbKHNM2QcqI6zgtZg35S681EHMlr5S2S8Capv2eEqcMp5m0w2ZegKMU06F3Rt0sZfEiSwGnitXTG377iVVbFC9ZI4vNHGXLzruR8AC3gbe6JllA4aZmP5Si5pfFmDgmkRJhdYz2rMEw9VkkxJR4lHOpF3YbrYdXAFxshyVCWph+H71or6t3Z+H+scdNm0ZaUYBgoWzvJnBoYYpYzHRElc6I8kKBATtd0nIze/6mGLgdSJJn4J7CpDPPxSDMwXAwR+3TW4whQnbiab6ygQ+TOszi4Z1ztND3MQYTSd47mOeh93/ug8RwTa3FTCR1ygMQmEqVgQhDafSHur8HmFjLLKbyQBWcI2f6Qs3uUZKfWAysj0C8BVmzj6s3nwVr/+LSwTMbGoF5bmkG/nvw76fGAmTgRwmY6QEgLIAJ9WreOL9zga+PsOoiICWeuOeguNGslAYeS2NYNX4mWcTsQgt4Lhv+P8iLCFgjBd4KNISISU9nBLTeBMXfeD1GP3kRHVwTRdgV3yxZ3IAyZghiKSggeFsm5i0Z6gqk1aABkOokCK6dJMRzACiMsEo24lnP/ZZuOrfv4VJHQMpMApWsLecIQ5WkFWFUaQ3XkamJ5Va+bymQ+a4gJyGP87ZqtkJGfEuCrDYXHE4Ea4kuPiNr8HOG60CMZAVFWKC97XKQXgezWGB6gcVznn4k6Tzq2kcYZmXYhKiybheB4W4eB34XWYt7zuWBaQI5YvpKlnoIy9GWW8ixRTFao0HPvnX8YCnPBBpmGqhX74sG1svgu0ItZC/juX1CRzXdYx5HR9cijTNUGAqziO8/Bkvw39+4j8wKsagNatI0bR6XWjGuuhDDSdZcKB540gIAyXoR6PguB6Zg8wvMLr5Gn7//W/BdGUDRZCx6iUmqSWZ4+I1oOOqPTUMzLRLN8gcRLmLOPXgFtT8I1DtC7mB796B4xbo64DUvotBtLcJ2/skIbFD15j9OozxFEzlTOV94VchsM/Bd/7l+zj/ieeLIe+4HUthiSAy51UUhiiKVGRhKEujBGrrBaX3hXw6/8YODEQI3AB5kyMOYqRlCp+mmnUBlisyZFj3pvi1sx+C+5/9IHgnhajHNTarTTiU4hLtZi3E2DjUAptW9lPC04PwoPvXDGVV9KrL2mM2Q5Wy6GWElOzlyT4qX5QjE6RVFwH+OxBDTd1P5x6y4NuSkv57/mEkUq4Nf7DFwTn0XBdGuRelE0sZ8nodiKry98oc9xLPFKarvkBt9mF7hEcsgVn0xjOvEyTBbBrEc9jBHk8T+Cnl47Twwr9XgjE4KJMa2WSG0su7DrX51e7wD0gU6QaFWbt+ioJB6yAkU5w+F2mMoAgkHpO5ywlNNntTSxdHmeSo41LyMO4ZQnA4GDg+6JRaguOHf82us1ew2a5hAdlFyPtUthLG4gFcApIZxRBCSkZ924m9P0pOTN6Gk/A1x2F0vnxc2wgswfFrG6Gte86+dhdS3DvfM3txOU1/KmFLW+ghD4E0qJGGNUrSIUVqjBpp/FKNRAHHpQXPkTZRmcrXtjkd5vEdjU8fTkKbltp2b2WI6Vlp8moDCAafdE2P4GQULIbokYcM3myLaPcidRHX91SGug0btPVLGePCWA0LlATH+SbE8swG17WSdcxxTTeHwdLROPbLY97eCBwKOE4EuCZDRBLWEGy3jVnJZ8JBg5QhOC4FeaOvykSVSQENOf0aVUxwnEkGq/hk/BGBOsLgeN1ImzXlZJioOGweZysfDThTF1Hhi96wUJIEHFf8i8Ez722G9dQYlXOKFRwvjNa4SKp08kWaNOh9aAQeNczr2a7bu5TLVy9H4Lgagb7gZO5J2Wt7Q0qBViRx7wv4kogZIIhdL17G4l6gGuKGGcvGOcqmiCSCkUUQlpEBXbq7tgO5CPz1BAKhJFqkUhhp+gqaLzK3E0aqLCklGj+XIhoZrwTHrR2BZYcTfOjkVqyZoWFrWcaVZZ+aIxwYCyumYFeYvnDfr7m2c2bRiaOnaQ04dY2TxNSYjBP8IkBD7WiCUye4J+Fv3/e/8JYXXIpJNUFTVcKOJKjJB6U7CHrxGlWULDEHNgTH7b9ljESWgQXNWJjj5J6SfVqQ3EGAj8kVgU6Pkgwz/P6HL0dyowQlUvixi7ymIf1i5VlRaqbOL7XT3RWE5Rj7/uMaPOeRT8d4r4M1TIQ1XhP0EyBcZRxEUVzEqAmpKTgetnwWYX2C45a/TIVxFpFbREGMvJwhGfk44dY78YJ3vhj1CS3Khl1Y88c/99MAILeXyl5rC44L41/mr+2e0GdYUFwBBAUr/x97bwImW1pVia4zn4jIzDtVFZOI7dDi1NAoqDRqQ6tPZUZAHwiIlMxzSSGT4AAKhYBVgAgUiCgK2AiCD/VhN+33+jkgYik+pVHEFhyKGu7NzIg483nf2nv/55zI4d6bce+tLG5F1JeVeTMjzvCff9j/2muvJe+zRExQJwiLDUz/9xRPevBjMZ6GOB4cJUaNKNnAzflUJB/4uagxVXpKfYsmvMYIauzWsUAsfeXqVNk+FaIwxLSaKlCeRtjKp/hP//nb8NxXPEvOFYyBap6L/jg11susQeqP8Kk//RRe/YKfQ1xRm9qXtAm16MVQUpJjDpaknAevU8FxgeQ9EkyYfOFADXA0Pooyn0tyoh6V+Hzzr/il334r1r9qHXlE5ng3yrpVfZi868G9RSkCJ1Ox7Pg7l8/1Y8uT8IbDOLIkCXOEJAmMmxHe+LLX4xPv/xiS7QRBM5JYiEaUSRihrnZKb579FQlz3OcYp+HxSEaHMMcF+1A/At8LUYQ1NuMpHv3cx+J7f/i7se1tIko8zPM5wkgNL/VZukSXBmhi5peprErKPRbjOEnaBeD0JMkZxyJWpHBR/s76pTNlJOGBABzjPALlhVchr2uk4xRlPpV5i20zwTr8UxF+7DE/hs2/vRnRjJI8NTaiIyK/sz3dxCSOUBY00LXx7uZ5Q1q1isMXI16SLwgiB2EggDfnS2rwJ0mIvNiS6pGHP/ER+J5HfR/iO43FdHiz2sLGiSOYzeZayTOodurGtcmo7kzoDJ9gP2cM2eMdHr6LeavJWQeiKztc11EzpbU1Vb0/JesgD819pmeC6z6XsjL6N/e9D5m79f2MXU734MIa7ippNPFXcDw7RrGF5txrczpw3yVJZslp/Vnnw46mdoDlY1fS+ozXfuHe0IPjJDtSmor7uhHCGWXkzA+iVZHdKvBQjWtkk5nIlOlqZuvEOVziEBx3R9P+yCorH3GdCDgez1PRHmeMJn/lxjLk+kepmxrVuECVlMIil3WCZrfGRt/FHDdwXD0qzkEz/Rzue/VRa4FO+rcVYgpr/5iU9fMIbU62QPOFeD1+b3JJ8hYcxd94nsffrl5n0QIrcPwsGmnnW9qt9lJsNQ+d/9upK5Oq/QpuzMqRj4LEj6hBTp2tgE7Q1NtU9qeC41zHVFO40wy03y9xGRfVRzom2S62zjAEtX2khc8MPkPq+uVkNZBJroYTlKnostFsdDPgcnA2QTo1bwIq0zqmS7OA45GC49Td4urdgeOq72KlY7122wocv6i64YFvZic4TgZRZ0pnsiqMSJiAkViC4LgEURGCmWo4EkzumOMGjkswysSa4ES1yKpUaYsyrYVZ3VL2xxI4B4gtD3x/p/uAY44zYG58ZYYzoKKESjQPEJB11I1HZ+BiAJYxm9gmrNIgON6krZTdUlJFzKTEv8FGrQEPxu001M6Vd57X21odbNUCt4kW6MFxXX2dn4aWUXcQqsp9yK/cpt2TTTINf/wsNcmkRgBy8gK4AdOy26GuuCHtLMfvDIQIeJOZrsA4v6QU2c5FOQmVeSDI1nYMLJb0S4EY6VlxjpoeDOLpaaDoIIHdAxl8pK7EnD8roCDgogHxGml0UULfAkbKcexxBQq0zc4dHNfjSAWi/aQAuaJPPjWDOT8y+1952KA73Bc8XPno52Hzs6eEIJCGI2HtV6IfbCQMK7PdC0zowXGV7BJDOCY6RKZAlLoFHNfnTvDZRzDycVN7E7754ffGE1/0ROThVI31Bn4QBx00Ct7xwql1voFkPsZ73/BefOAt78WRIkVc0yxSwfHaSteFqS+mqarV62RVqJVu8I0yyk3uSzRf2wajdISt7BQwrvHgyx+IBz/3IdiMtlUbe3Dh8vNCRmH/LZKCBvp3Z6SqFaJu4+p6kyNm6HrWVSe0MZL4OMobSvzW1b+Gj/7G7yE85SP1JiiYIElTzKrCmNoNQttHCPxsfdCxWft7cBUeehtkJ9eNJpllzAQt8opeHi2ueNGP4Zu+7z8imxZIJwEQKmO4ndfw5gGu+Zlr8Bcf/YR4h2hKgl1Q5SvY7ykTzzGqmuNqKKtQJSu+eA76iERoSg/rwTrC1kNen8I8msL/shhv+/AvYzPcBGUGepClb28Jt3fQSnuyjP71MP1+HHgvYBPZzwTHyfBtKVXAWwoQlwE+/I4P4f2v/U1MZmuImwnLWpBR7idKTPP7oCNH3+80q/nEw4YGlXwOYjMsXhCSVAliTOsMeVIBJ3y88u0/h0u/8ji8cYOtbBN+RFmdvlrGVfa0Yp4cSAUg/WLinJ1dEE8lZBhzXNcF55g8MHe0Cl3pN1adyxiP8R2JSBUrdDnnBQnKskBECSwBTT1UswaXxLfDzZ+6CU9/yFOwUa0jaVTmiDPhOErQlDMkPs1zmRh0Rq12/o5JS4gvFBmUk/NTOo7oKeDX2Cw24U98bHmb+P7HPwwPefQDMbndCJvNSXhjleKaZRnSaCJSiAJOS1rLMdRVnsvlcIdPsOvBCxJXrvJxcXrpa5R6/wldD3Rd0p2qym0JW9z5ftha3FSSLdOkqlVuEUyXalT+jpVb8rPKT3UFBW7CoKSUXfBeMx37ht6zrY2WBOG/SF6hmTGrYgU0V19KkakR9jglesxwUxn2zvB1MFsdYPOy30x8gEMsN9D2+VQPjsuQ1kqRAXNczJJb+kcwVlHm+JzM8TCz2XSvGe5gl+jA8a4az+2rpNpBJWeDeYR4lgg24hTYRN6GhuVtjSauUY16cJzPSfxiVuD4wR7GLfxu9r+Qps6N+udwjmAiW6q2c/GzuKmK6t8f337jNdEJfNLzvPktfIlf1KdbgeNLPr72hvZOmFX/Z3vz9Fl1WX9JTtkElhCNfJQBlSBVDiCQzI4ZPVkpkjM80aB6h2bYktdzsXxsMdjoN679dtQ27jaBywZdwHEadIaISmbOyFYxxhlXAzGZsUBGStBUmkWAOZYtE4ijVIUAjw4cZ4C5Hzjel9AdJnPlYnnmX8z3cTpwXAEf9jvqK6oGJ0EPZvMJjodkXRYDcFzxJ9ncy86WkiUGjpdRgyKpBRynrArI2JASxr3KOW+ZFpXgsGFgbA5EBFeqAGEZCDgeFfxZGQhumyvmugPJJG6267BVg6akEfYCQS8xEWMZvWi6G0vGwCOHnXU4xmFFx7dMM6/OsmqBC9ICuxK7u0BxLd8mC5nl3WJuRgZ43cpXUDE5PRKAljtAguJkjavEioWWIoft1uLecFh4UyS+EejkWt6xbw0uECa0aSxzU83ybZFL8QTEawNPjb7IHPe1ystxmJT7bmxd0351kIQDtLQgTUH//YjPCoYbEDVgkCudXl8qq7LkBCRsaK1h80UzW8EhhUaIPvF7g5oSIizvb3ykzRjH/WP4/V/+Xbzl596CKEukWk6fjRnQsdoIDZIgESbw8LWQ9mASgecVQz+Fxo1XJhAbX6N4grwgKFWD6gaboy288/feifB2Hk5VN8t1Lc8cb9G0JUb+BFE2QbSV4tmPfjZOfuZGpFw7KgWH2DtaP+zl6QUcd1kUTbqKdvAgwaNMbf18ECjztAhybAY3C0D4Jd9yR2z6W/CC4DT46unBV60kUPhWrkLWqZ2SPHZd0poqQKLfZXeAvPYxqse4pFjDMx/+JNzwt1/ARnAUZUVWfiNmpZqE0VjASTTqjkKf99BmT8/uAHKBbQUsDXzeJysQVAqnaCocu/0xvOYtr0F8l1AMGik/zU/QtA25jysedwVu/oeTiKiBbOeROFo0FXqgX8FxBdCZpCDHvPEp48LYmgmOGEERYBzEKJttnApP4msfcDc84+XPRLtWiWmfjaYeDu/G3nCAusSV053We11y9J3znKp4oWny+pQxAGKTjyM4Ls+hAP7+jz6FVzzhp3C8Oo6kXJcUAqHhIKSx6bkwxxWo5fwshnxdXzBlepORbENPYqzrsy/gPz/8O3DlK6/A9fm/IT2eoqi0soLPk3MwJVpE27rQr7AIBFQLhXBkFXuyDNizUP0/nV6dHJc0TD92mDjgM2bcWielxHhFmAug2FJPvG2Rxh62pqeQjFN65orW+GXhZfjE73wcP/tjr8CkXUfiJSrfUVYYU5KmpAhMqB42BsJKfClECpM2pMkw5VdY9UBpIV9lM6ONCDeUN+L+j38QfuDyRyKaeMiaLURrPmbFFsaTEXJqsnuJSMlIslL8ckTPRDWY5X6HVYyLa8kQT15Yf7oOaxWibo2RRaln4lruSZrWgeTduuXOa4C5Y5IzJ8K1V3w9CKhzaRSQ0xjoktFjv1UtcdGRds9yx4jQvAfjdaeNTcKfrVJSwcX9MuVSzBw3MA1qq9LuE9N90mTnWuHa6EyD0a24Q8CqW5vP9OEL9HeNH3T+YbIxIDg+S4U5HlUkZivAzOEhsio05FyborhA4LgGJKYLbuB4VCSIMmqOk8TA6gOLuwQcZyqtQpu0KAmOE/sQPyvGcqHq23NO2ak57pI1bs29QO27OuzpW0A8CqxyrPEthpt74l8S1eEpPwr/Z3jZ+OfD2+FPPc/bXrXnwVpgBY4frL26d7dtGyDDl+D64vHF1vzyWZHdqY18+KMQDEYYhEr5kKbWu7LB3Zp6S17ARfcxV7pl21djHiyCzxY8WHZUmV+RbNKDjCwHyqwoON4Zfsnul8GMMndVVkVNwbiMVCHZLdQ7duB4iZKsF4kyVuD4RdfNzvMNKRtcN698Oea4Zt17cJwmr5LdRYSkjpHMIkRzguOUVeGGRD+vkip7g+NlXKvmeEQEiuXs7NPDrfF5vrkzHE7B8d6tnUG4X/oyFhM6o5chfDrRtBpgOVUU0ZeUpEEjPg3cizc0No4rFNSlNNa4aK5LAKomRG4jLMlFBuTGklyyqv+WbazV2VYtcCtsgV6SQWYfHVM6EXValgKbkkkkhmAeWrLVSNcrfURkHLdh56ki2IFDYB0wrjObHtiY4047WA299O+KOXM+c6w8sdpUSTQz2ZTvbhMurOrCEt/upAYuGLimW1cLczvNWF3X9V4dvDkAwt0V7QDHdb7pWqi77mUfq2pm65WEBKlbx6yTFUVBnrpGGEXC1BSwBgnWMUH9rzke/4AfxmS+Dkz1GASOQhr+hbFIqgiryNYld40L4LjdUCdX57jX8iD0ykICmpWkYSVWKsYZHvm0h+N7L/8enPJOit+O0+w+cDtYRNEfVwAAIABJREFUopRx22i6jpOfPoVnP+a5CAguEDQOY6AzplQtccF15J76qiJVGBYFbGHMit+P6KbqhjHyE8yauYBywZ18vPG/XoPmRImZP0NLo1O78N2bodOA4131gK5LQyPXvicNIZ0BlGMDRKDrMJSKx7VshL/6g+tw1fNehSRP0cxbTOJ1aXsny6L4oxn3WV/u0xkqVKDdUzsu80hsK2o0ZwVJY55IS8yrOaIoEXPOb/yOe+AFr36BmHaGowB5niGpE3zy//lrvPKFVyGtJ1qm3Y1hVaV2zHyFysjsj1XjluX8Iu2Ro/RrzKmFHzL5QavXAmkCnIpP4ruf/gA88AkPQhuXmtzqVHh7sFuJAi6+cTIMzhtg5+g9cO875w8sguPsbx5iSo/AB+W5+Sxiqvj/S4Yn3vfxOFEcR5CPGQFKjFPWhUgZLbsJ1x6l8xtTEFbXo89HdN85GbOKokEUJ5jWM2yFW7jyqufhG77za1Gvqd6+VE+wEoCwvVT+cS8VKOmoDBFI8lOrhbQj6J5Ku7GrqN0bHFdgzXydyFClrjGlKwmO82+FhyQm6E0PAzLJgaZuMQ7XsP2vU1wWXIbXvvQX8LGPfAxRGaOc5jgxOoJyPkNKsJyxJVNOlO3oqkB6L4k0HmFWzOW4wSTAzflNwl6PjoR4wGMfjO96zAMk6de0GcKIxrktsnyKtm6wNl5Hkan+ssrJGPioFG1Lc5mW115ziCVgh8uf63SaMnN92LXpMM1qT3ch2abPwMW7KnHGBVETrLIKDAxh5RxSaTMwznS/c7FzJ8kyWNc6KjlvwElnSOa1xzL6JVV7oOUIuv7EhLZS3buMwSC6WCzOGbbdHpmuvYBx1/OH3895QB/wAMroN5IdZVXqEAlB6DnBcQ+Rsa8VHPdRjWrMCI5HPXN8t7vJwS5iyBx3/dP1IuIgUR4jzGLE80TlLS2TKyB4xBqxRmWO0gJFVAgWopVB9KBQy9vd4DirA/uk0GElJw/WUhffu2nGHQiBINSSDSYwpzVQtpujOPnj5Ej6Rtw5+KjneSybWb0O2ALLrssHPM3F+faWae9TuHOzXf3I9qnNy6uyuJ0fBAjjUEqLSCKgbAezivxS/VwNYQUzt9dqctm9gPa6a7r50JeVtJnWmy5ONAVjKQl1jkNxVOdmQ7LmfEm71+a0rAGAano6cJx6zqUxx80MkLIqxsrtDYGGsiq3DkOgi3NUfXHd1ZnAcUoqEcRWoxNuI5U5PprHsmGkNhiDGJFV6Zjjqs29wBwP696QU8BxbkANRDok7pSLe437KGV8ZIhRb1zA8SpiPaGMOWEJGb3OE6NRtkaFPCZbvEUbt8JCKah5FzgTTmWhcqx24LhIUpnRmcyjw+qSL66+s7raVQscegsMM0udp4cCcCKRROCboHiphmAMwLVs24w1xevarDpl486NuBF7F27OtsbGPHOgjmLjyjgTVqoQCqhZrAaa1MUUU8NQzb/ki5VgBoT0BlQ97Dv0KXGYvO3SO4M/hZNdPGER2AI7fBEs1whkCMy5m1ueuarguAq8UVOa/xIgSUBBBcfFa1SM9tT4UGRGtitcGm7g7a98G/7gnR9FXIywNp6gzEvUJc0VR/JdtUMN1BnEmovxptOnVpkSnpv3qmZitHKpEQcjeH4soGoWTBHdMcAbPvwGZJMMbahA3FIvguM0MssjHJ0ew/ve9Ft4z5t+U6TyqMdM00CRJGQLeNS9VvEZTago077nbcemiauSY5Si4bqRtCMxFstRYCvaxj0fcS887SefjHI0FWmL2mcc2G+DFjdE+4Pjih8pCGc9eFDX5KLV4ecVZNJepV+ihc/S9qzBWrOB9eoIrrryKnz89z6GtWqMqCIbWOFnan2bxKtqyXKtdTGxDTcRPNnhQRL66hFQVxWiKERekrEcCHJeeAU220287DUvw3/49rvpGlzkktz+zV/6r/jQuz6MoEgUHJfLZ5VYjYal+HIeZcHzCZE5zutKhA/P9p+j8GtkNHYMRhKbxx6NVbdxQ3ADfvLdP4svuced0fq5aj0YyCnEAHuq0j72Ndw3KelAW12v43BebuRIOs9nwh9ISAaAj9yKV/kE12YpnvZdP4rm8w2iYoIYIzGKLar8HMFxBUsV2NbqGxVGovwNgS81oyU4vO6vi7fLLJrj2FcfxRs/9Hrc0Nyg86ppLXDOj+pA2eIkGxUkNzDpoQkkqXwUVRXOg5UCsSIu7SqDLJFhY8OBoZyHmqgRAhLB8TzKBRznMcM2liokXm0QemI8nGW5yMEcn5xAcbJGeVONZ/zQM3HysydxIjoKf9Zi5MdoSwN+5dp4FkeAcuA45wu9Ji/xcGN+I7x1oBqXeMkrX4y7f8c9kKU1tusp4jhAUWSo6xyjUYK2qtFUDQI/UhN4G4fK7FZih5DjjVGuvbHPAWuPdED2nmk3G72LfbevnN6rV/e/c4mZ3n/HVVy53XKfjHPH1CHTM9MltiaRjGt5dxmL1+rWUhnrzvLHkf2kQsyxi3VQ6phl8mxgrttv362VeoB/pyzNXkSXWzM4zjhIPFJpPtqESKcJQlbNLoDj3P/4ojlO5ngeMVHZOfee0+TVg+PWSoPqP4L1rE6O5jGSLEVA8JQvn8bKpYxJIQFSrnNUivY+k3b8u3ieyI9inqeVEk5bnodYgePn9NzOx4cpXUjsgPtu+kG0RQsUOBWFwcfGR0ZvwEbwP7yj3s3n41y3xWOswPFzfOoCkG/iLtVW+bRia/aYJitOBCxxiAI0kY+cpgdBI1/c5AkwJCUvGpLTyO6wgrtzvPXz+/GOIaJdUsvijA1hK6gu1M7VXrUixSyFxpzUHueixCC8jsWcQHbpIoU83MAZOF7rolZGFaqgQBNbBtXJqnDzRZOvDnxbgePn94FfHEe74OC4BOWVGHIWA+a4F3CDevjguJTdSUEHTYsChNQ7m3tIcxr1xQqOE9AWSQQNzgmMB42C45lsmDy0DND8UkpexUndsAQBxlkmamaeCh4RMOPnexO0i6M3re5i1QK3YAs4eSNjH3Y6p1JZxaA7hFf5CFiOW/ri5cFKEP5ePFSEqKZl5gLSGDzogGgX1/RJNL6BMZD9pS8lEXyF5dnULyVgIwbGYS3gqxjzcr5TzRbV1OUGXcB8yjYpOKPb/oE+qjWlAxJ6/xDdnCsgb8xcx4SzBKXhHD1kMDBS7CO2TkF6qYfmwHFyHyNKaPDOSKQwLWsRVyl1H83ZLkkJUocotue4bLSB4nM5nvx9z8D0C3OsR+tiNEeTuthnKQ5ESqNuFPR2r2EKgY0mrCOBhwm/16gIyrO+SfRulQRAo+WKMLsfYd5sojpa4KXvehnueLc7oGjzpcFxrfAnMLyGyfUpnvuoK3DD359EghH80EM+nyP2QNgVgUfwO4AWLTCloO2lzGm2YGLgOPWrS5Hl4pqxhg3mmAW8vCk6iae97hm4+3d9A5p4itKjXn2guuEDlGYBKNqJ3lhDDhl7LnHiGLXadxypQ/uIA3z1PZo9ImkjYHJBSvDXgK0I49k6nvDAH0bz+TmOYEQbQXn2RaCa+3yR3RuLTrsmeBgJE2jk+zSx0j9vSXC0BRJymIMAs3qKjfQIsixDjlyAQu+Yj1f80itxu7vcTpIR8WiEx93nh1CfZP8bIWwJfKt4CmFSGYF2HjLTuaNpKJ1CARWu7UypeARa6JVC00kfSZlgfTTGqfn1aG8P/OIfXouT0UlElAtydEa1KlUmsLHGHdg2BMedP8Fhg+Naf6LJC85RDhxnPyVznGPZb1pMZgle95RX4tMf/TRG1RGp/ihFlqNRneilZg/tY5RE0go7taZlyoS/52hmQoVzauSH7AQYhyPM/QxfCL6AV73vVbjs6y+TKlnxduH8VqvOeJwHiDNKZjFBRbkcX42QTT1PyF1NKVWDHJ2nB8eJsTUCxDmGah5mIqvCfsq1JfQjIU5sb29hfTJCHIW4/vrrsb52BHG0Bj+PcdOnb8IvvOS1+Nyff1bk+jbCIwJek5nfM+VdlYVLWnnwfB9FWyL3MwHG7/qtd8VTfvzJSC+N0MaUrGqQjkaYFzknTJHsKqiBHoVSieNWNZeEdfKc7JeOnOU8K2TfOlg4bCd72ucraUWJdU/XCxxxpl9h3WlkvBibfHGd1WvRROLw2I4NrgudGi8u1o8NyWhD7wZNSPcJK63cVq8hBc5Vskm12LUiYciF1329zoXufi8OcJyyQQqOd8zxUhOY1KpnO5M5rrIq2xcGHNcAaJCApQZ6KHrjBMfTbITAGd0ZOM4EHddFb+yhTAoBxyk75AUkJIVg/ov9YwWOLzlBX+CPCfbFKp+C/l4kr/jzKI7/LFlPrsYR/MEKGD+3B7DsunxuZ73IPt22bYJtfFV9U/H84ubpg1E160EYgjIrVeIhJ+vTJiIJ5UU/UMNAKR3cY/nsAPOFrOsg6HVB+sXSlju01sTczy2iwzKvzhBFwXE2D4N3ajcHBMfzSE0omCXl2iy7eN10ymGkLJUl4loOJfrGzKIaOK6GnLq5EoORgXP4cIvpdNoO0xDoYnn0X9T3YdGwGrOpQZeWxPPL+CbS/4Q/o8zxJkLMSoc5dcdjqXRYZI4b2CMGXMrQEuPYuEExqlGxFJnVDlKO3DNBlmnH/RaAs03YkZVGJikZJFyoI7KNZkDKZFVLcFzLvEmoEhlij6xxBpIE90tM0xL12FPWGo3nuGmkmbGB46KfaG2p7avsFCerIozy024slmmV1WdWLXBLtYDj1w3P14/K04/DRc1S2cjbnLP76ocjvQ8qlPXrNvqs0LAkFzdWTYhqVovsExPQ/Leaew32vAJwGlhtWtwOtFFmnV6JbtzJODSersPHZb7UyjrOkU3UoiGb0b5zjpOSeQOTnKamHlO1uTtlFjlTD453d9yVtw/MN0UrWMFx0UEdSKh0+Ibdj/3ZpDMWdWWd9vNBeks/XamsCtszNA1nSfwNwPGwpixFjLwqUbP9fG64G6Stj0k+wlte8nb8yYf/DPPNOSbhRKt3yDRvSsSURKGAr7VVzykcGNcJOM6HodrD5GNzTic4rvMtWYDCbQerIqs2wyn/JO7z6PvgiS9+IoqYICjZ2saHlnm7j2gdE1AZwXYlg07N/Xo8j9D+fYEf+b4n4ERwGWltAmglcYS2zEUeJkIs0gZVy2sUGFjYzMogJiAYK8jvEXSjjnUNrwkxaiZyXwUyzNZneNUHXo21r5igpaQKiStS2dUD2T241QvvdOyVAa1RY08zyusevpE37D6HAHkHjnckEK5xNYpiho2NI8jmLcJqjFG+hut+/8/x5p+4Bt6NJSYeQX8PGX2MpG94iFofY+r9y3BnS2gsLPVWO/qx71tVB5MKTSV9iYDZvJ6L3Mo2tjCPMhz9skvw9ne/TdiC/3Dd3+FFT38xgixGUCc65iU1ocI2bC5H6qmlAox/pUAIwXH2aDLHc1Qc01GEPKtxIjmG7XwTo7UQX/GfvhJPv/o5mI6mIr/imMsMuPVYBknK0m4AWyelqC3ZPwqXfDjICDxf77Wkh7Fl2RcpB8TrZzKDgHLkhUg2A7z/Ve/BH/zKR7BeHkXb+JiL5jg9WkwOo5sl95+5DSIdkKkIjhN8UykbVhLwKbANOZrZXziOxnGKDW+CzfxmRHGM6/0b8MArHoYHXv5AlOEcnt9oMpTxGyv+CgLkITwC42Q1GLmhM+EUcpcyx3lGx2SQZUEezGI1n1QBkTku8g0l8jBHFmTysVD6VoCirjBKE1R5JvczmYyxNZvBD1OU0wbHgxNIZyHe+dp34P/69Q8hbBKJmxNK9zF5Z5VGEmXbXpJzUklV5aDGN97nHvjBH/1BfNnd7oKpv4V20iIvZ4hNliQvK4RpCoQ+sjIHxw39GgKaS3bJLK3eEIhYJgpXQeVgcHt2gzXvTD3NHcf0kPbpBU4qbLjwuvlWx4ruld0626+5TjNKJHEWQgz790KA0U8e3WwtMo+WgjOpFCWpcQz6WlXGPrdggq2s8V5C1sU4enyVStUz7A7d9xYacffW3Zlt/hdb5EytfX7/7uZ/MX3uwPEE4Uz9MujVwHHFSbkRWZUGMwPHtfJAKx/O5eU+LeQhW69V6MpDWFFrPBFwPM64H9N9JZNcTObRIFfMkMeQqo5C5uxSSIHESGj2Sg8CPa4SsSwf21XyyjM8lxu4jX9WIKlOdrmLkCThpIlXe0lf0bVCk1IqDeyVHsDiK06pfvSJ0cb664NL8LveEe+m23jTnvPtn9vIPOfTXzwHaNt2glP4GpxsX5TdPP0/mqoZRUmEOmpAveGCOrrMnovsE1lPGvQxlHKv4SSzszxSl+Jh2Va/wb1oJqcdiYCd+ey+t7jyPS3lItAdVDHCMhFwXEo4S9Mdp9s2GWlW5ihsKQJ5Kimu5Xg0pxBDQEpX0EmduuMM8GlW1We6Ve9xmFd3mogXTz9e3clyLeCWMd1o62jt9WmdXp8lW8S4zkNMvfGtGEmVKgjeWLJMaDzO4KvXdquCFsWoEvOUIpmh8koLNJe95tN/bs95ZbD5dgErNYcJoHmZr9UbZYS4iYXx7TJYNNQTRgnnvaYGndyruEZ2pEQWk72kY7oLGuXS1Fypm/s6bqhjSLjoerWMLdcDVp863BawTaaB2v3K4sA6vbrFcTgAzinL0Q8xM/5WZrbBNjKnuPL/ThjUCYQKoKbMYrJRudFlUjmgbwCZ4iU1aNWYiQwoJyHREb85DDvJ2QHIb5swvfZBfGOIFtloAjLQ0Css1GySOuKCEnNfoMkvZenZl9NHES3lfmNNYH7vCErfI+/tdxg9TCyAr2PB9b1gEXQzQ7KF2Ktvfze/75x9FvGGva/OnVHMjIWlrdt8BZgGvVI0Y93vHBCiADQTkNk/ZHjiw56MOEsxbiZIm1SSlTkyZfajMp1aM2Wzs0jCQbqfGvk5jfHuujSniYr0MVbQ+QGqhlJeDYqgQJVWeOtvvQXenRr4x3xMy0xi27KqhPlJAB+1mkgKnEmGKxmOhFAtjuJfao/M8Ql+89Xvxm+/+bdxpDkm1QnEFLIqRxAQOqN+awSWEfNwlIsggYH9yJlFqiVnTUELkVQpKJfShkjbMbJ2hnTi4au+/cvx1KufgWx9jul8E+kkRcU115FTnCa9/XuRzTmEYYz9bUSLxYhw55jdZ22yjkYQrixLRFEErw7Qbns4juN45TNfgb/+73+J9XIkQEURAoVPULvEejxBNG+QirGjCu64XrbfXmCvq5DYN66FQe7FPr76rl+Nl776ZfjQOz6A9/7ab4rkApGUPtFvssO2IqvUho17q6xw9qCS4BGN8wR5mWPiJyibHHk4x0Oe8FA85CkPR76eI0+nyAmQy3hUDWUdE8RIB3e1AFAOkjuHLKvWJX2s0iKQGK5BQTKUDKAQG8Ua/teH/xpXX/kajLYTFS0aJ9iabWPisV8roaJLoFjaT+avjjil8ZGypG3/I4WxqlmuVRR6FLZaSbic6wPJ0K2PkRi31ZhiG7NJje955iPwkCc+BHlwEkFQI6p070SCkZ9R818Z4zqJKgt+yFHiNetkZUCoyGX1kZrslWzxYoUg5RpouN6MG9ljZUEuwHXPXGasZ/thM/iUJEPV4MjaMWzeMMVGuI41L8V73vZu/PKb3454FuNIfhQhmRc0m/W4x27FB2FWz1AGNe52r7vhvt93X9z7v9wbybEYp8pTAgqyJKXh3CaVTA4AtqViGOPaXbmqpJ1J1J2M72Ui0WF6xM2/e8fe+tv+by5OWAS1NT/hEuWDtc0+LHvaLt52ILYDy0253uZtMUDtjFb7fbfMmi2rV5i0VBlIrSJzc9FuI93uSgZM9V4Wyb3fzbM77tLGudsNyDOztfKw8A8FKnXEcV3kHiidpzqGKkqiaUzleWomTVJTfnSOnAll1Sw5J3CcbSEVPSaBx7mhChXY4N6Lkiqj6ZrojQtZkN2ExuaMrxq9nupILjJHfaxlrdk9I4u1LCGy8xkeVtsfbtx+fs7etaxV+Ggk4mR/aQJswmlmnCurBLGukt4WkUhgtXmDqqwyLwo+Pjq2fk1wNPiIt+HdeH6u8LZ9lGXm8tt2i53m7tub26NocM/6huoF5bz4tqZplN7BKteE7JVCGC0i18TNIMNHx6TaUZLlwHEXgwwflIJSFyE4ftCexXJA6pIK2JiKVqUaUIRICiu31h0gqlCBBIn1xMjAbWkaNNR9pOs2wfFYXdVZXsRssAb/CnTqps6gho55dm7M3YPe8ur9t+4W2E0EUJYEQRqX3BKqIzf2RYR4M0FajVTDjaCRxEvs0NrvxAhPIk+adwFlWqMY55inU5R+bqzq5abxHsZfbNPTbbQXSrYtBieAxhJcL6PeeCSbFTEZ7eIsDh4LsrmZariR81GlNWZHMmRRMbiA/c7uslLDcGzFGr91j4bV1Z2+BfoNoc4NwxG535h2IbXyvfvx6AQJRJTAGFouoS7bKMfftvO4fzsGmKcbOgHHyXxiAlm9ObRW2oCSfg+9ANp3cP7CbknnOd1c62nlO4EUkVGp0CSsgqERm4HjLPhyJnGMjwx8V9hFx7v7ruy03aXb2uZuGz1EE7qttb5FL697dS0+2Bg6xl03dw+q/ARuKqtddX/dDOa1CKnvvHN2Gzza3pB0d0+RzdI+Uxz/FtMAbDvGFT98BTb/cYrixhIpRlgP1kQ+o0LZSd7QYEvZZb0MhMphOXDc2IeuYQaMJrYzmej6jPT5ECj/wac+Eg965v3xBXwBbRKIzrHgJJTm8D2EBMQrVjd5AhRKzYDo1AKBVAR5qJsWSRbjx3/oStzwyRuwUR9R8z8/FECuEpkO09i2PkhwPGe1X9to1SAZjNIrCI6rX0wRhKibALE3RtlmqNItPPQpD8L9n3V/3OyfFNauVA5IIzhwSXuxAi87qRk7gVoXF3ZCvEtMdjQ8jcQEM06V8Y/CR1qMkP1jhic/9Ek4WqyhnjPFAfhJgjYKMN+e4ri/xiVVAMZlI1AZZ2SJEHjPaZaZ4qEPfSg++ZefxN/8f38j1ybJNZeglu8Gntmw0kp9VripzI0NK9SeiEcqeMuclw/kzRRFXOCFr3oRvvY+3yAa8PWRAgUTZFJBsgiwqqGoY4nrXOl0yEXWwsXjh4XQuPnMARqyR6C/UY1STMVZiZNinE+AfyjwpPv/CNbnIyT+CJtNKUa7QcFKOtmVdJIybncnzFRH1TTtbLHZlHlPJ1Rh78ozUakhTU4wgUQ2NRNSgbDXo7pG5LegpMk/1zfge5/+SHz/kx8Of0JzwEoIGlrJyGticssmKVGF6D1eNFGiY1cfts7vjc3pbq+k+yUbEm2NWozXG4lfCY6r8br6KEivEpCvX8MUIvUQxSnms0x8D1gV084rrCdr+Mzf/B0+/J4P448/9Keotgk0krbvIVlL8CX/7k64x72/Efe8zz1x56+8s1UHV5pQ4znpY0FmfVkgDJUZe1ivnat815V3VIDsvD6XiFiYpQbELQeh7zx+n/y159aZmNoKO1hf5bk42dcBmN7D8yZ32FH89orddw/O4TX1ZCKbObr1XD+ns2xfwb0X8/zwhj8fkqWjCI7XBMdH8OfK6hV2b02/jFB09aukQn5kjjzJdN4WvPoMD/o0HZNnpmyTA8fFhpp+VMx9UHZrHmNMcDxL6B8rIWAjHiFsMR+sks+OzpBH2WF1/9v2ebuEr/O+sfmcygbc7HNGN6Jc3VLGCojrCKOGfmV0aG8ZX5WIvOuCcfKm6PbpB7117/rbdqOev7tfDlU5f+e/6I4kAHmBe5bb+YvzWf4tVVXFZJD7CTP5FQqPhnNqKiVmCL1vpKzvwkzWpK+xq1SOYAck1JVQHdbCcKt4cKJ1qkAAwfG4ThEQnKNmHp3WxQVwBzhuILdjjkvWN6DWaSVM1irW7/y3SGF05Zw9KD7UaHMlfLeK9lhdxKG3wEHAcerkh6dipGSOS/mdK+/vwXFmj10Axe5M45RyXBg4XhwqOC7hNPckbYSoUM3/UAxGKcGgsjJDwzwaOQn7iQwTHwKOz9cy5JGW/vez3H6z2k6AfAWOH3qHX13AubWAAcc9MDtMfC8eugdo3e/d1tg2kp1ZWM+A082kAngCtRi4oQCHD4+bNyJc3FNVTBr7CGVjR81xMsYNRB+wwXl2h53ollpfu6/P0GcHcDt2oehhKMjaxiQL6EaxM+V05duyeeihPydx1gHktmkeXkPXYtIkHhphzi9OL33QS6C2N1Xs7mQAMtS10+zebfyrKQcL4BZP3CUtFPwe3MdCLNfCC83MbvCoh+D6zmp4uy05Js2Y0jbFx//vP8VVL/x5TOp1SbimYYpZNQMVF6pGE49kaA7BcZGvkvbj+tLzU4ekC5mRbXOW1criFiyAGG5d4shd1vHG3/kFbI+24Y0jzGv6RbSYz6cCjkci6aGa2PRydWaLbDOC41wn4ibB5z/5eTz7Ec/EsfIojuIYmpLgHhmglFsopI3FgNJKjQUc9ynlQmBAj6W2cGQuVrK+VL6Cs03jI11LcH35Obz1t9+E4MsDYKMVzW1hxFslp0EwHTDe92pbmRY6twJLDrRZtjSebZ3NSxw7dhSbWzeiqiocXT8KPw+xUR7Bb1zzG/jAm39LCB+xl6CsmFUIkEQximyOUZjIZ5Z9MXZl9VmUhCiLElmd4djkOKqyRFlUolnfM2P7SrjhrKPxjkpF7gWO8/NxEIHC6iUyRMdDvPHX3oTmqCcgUTOuFNAJyHLm9aj8XFeiKRW2Gme4ChgHDLpxtez9n4/P9bIYOhOwHaReI+DegZNahHE5xvFyDU/67ieg+KcZknaMU2TTp+to87Lb7zFJ42Yrt8foi+uVN27cXUs4Oq64p1J1Ao6rmbkmo7R6grUX4yBBXs+wjZMojlR48NMfjodd/jCUwRxtUyPISSyKELKasSSxyFrHNKTFFNmBlATkVV+kZyAL2WtY2WJbWzmCk0D2AAAgAElEQVQO/bZqYY9LZa7ss9RfgvsrHcc9MD6c86ezDGtrGwj9GE3eyPqU+pT78VBmFfKiwmf/8bOYTrdx4pLjuMOd7oB0zGqFTOZWqkIwscekAn0MeK6KUlNk1IdMoCkIfxivLn3r2trlG+Ridkt9nf019vHzrjtzciamRe5SK24F78ZZV0VjT6MDx+3aXAWS023hmr6wBu64hh0bo+EarHPtEFjXPftg5dfooluXNUlnM/MCNnL2bXQ+3qkxlbZIg0jA8VT2QWRuD8FxxiFkahdHsvMLjnfJQ458NTT3PfWIibIY6Wws45rEBwkDRe6JY85DEeUoyGQP8/PRGKtjHLAFRJefPjoiU0UJHs6rJFOQyKlSg07eVzxkKh+jeoS0SuDPgTorCy9qPxlOordGR8fv9y71/uWAl7B6+2la4HBWhYv8kbQn22Mo63vn0/LHZ6dm9/Lhx34o/xc9Teo68T/qCDfcHAnzgmwak8i2dULYVVJ+7PR6u/XAAvOLvCHPdHsEx6mSKcFagrBmaWCMYO4jynVzrwGcSufphl6lUTgnufIzBn51UAt7nOA4y/8Ijguj3Ay7tFTd6boNNdOW5e2c6eZWf/9ibIH9wHEBUrj5cWAN2XWUAjoZCXNc+yp7mDEtjXYji6UdlBqelYDjJebpTKoblDWw3DS+AGrtCG37EHjHU1goOdWYliBHUrCcMNTS3NqV+qo8jABEDGx9lrJyTFXC3iE4no9zFCxzPWNhuLuOIUC+Ase/GMfI6poH28gd6KeCEj38IyvWIFc0HOmGW3YAsmrx97rDAsna/ECARLipAogTFLaAvKDJJhdHCLvIaRlKdRVVbJ1jmAxgPbtjgnM8u72xrqxDlvZwvOpnlXhqmzT+WUzeVFPcSZzIPRDgMVavKMAYIuwY41rha2bZAm53MMMeXcuxzXf/SSIvkdG0zfY+7dyD5jvZxGqWufhyiQr9rTLP+43/cKpWAsSuA1gb943ZRRgL4AljRQ9e0SD2R3jGI5+GrX+eYtyORaaDzEiuN9Rq5+lVvqDnoVJ6RK9K1xcHNyzcoT0Dxq409pTNt3U63semdxJPecXl+Jb7fzNyGqhGEHmOqsqRRGTMtaLbqxs9tZ/Qx66AdlwnWKvX8a5r3oUPvvn9SLYTXBpfCuL5220GL+CGn2xwH1FDiR9NFPM6ciZUnJGgMVl5d8KxFsYxWbOk5gXIowKXfs0xvPbXX4PpZBMzTBEFMQpqC1PGRwgWDpjUlnCg5xCyGZR+SX/Vdy7P/FNoJYTveyjrDGHsi6Fq2LD6McFoPsYLL38h/u1v/g3hLMTYHyGrCgGt41GM7ek2YrPlXGZOFa1cajWjQRiEctxZPhOmsc/kQs3KBVepYf15ACQ6Ao88U9PMVyiN/U5VymXe4c/MeMQN7vJ1X4oXXfMTyNsM4dEIeTMXfwH6OtKEl4xrxuKsKlHzXTOLNJa0Jvc0QyNzhs0dy9z/efmMPH7rCRxnlgzTqlMPde1j3I5wZDbG217+ZvyP9/x3xEWKtkkRBDFaanfbSNRprh/kEjN282qfZHPXLcdndsfan6x1AccJOOuuEj4S8SqYRGvYKk9hHm+jWJ/jpb/4E/j6e38d5lUu2sI+90usZGRMys2SOx3lVJzElaxFCuAsFOxI2f9Q4qtPHIlppxBsaRBaCmO8pr9TQq9PJhF0/tf91SCRKOAoZXlCtJSJyko57yQcgV2jLRpEaYwyqZE3hfgP1JWuI1II0rbiWVBwPFHb3VfjUsqESB+l1wANN/3wcMHxAQita6vO+8M5f7As7bHWuDZzf9pvL7A72tc1VNMvuuhYXUhXIdL9Wq+pk1dx51I5kYUApbtCWwe7/ju4LvtRgPiFarmF2XawDsrAcJe4Rxucl5G8xEF6kF5cObgPmo3EHJGEA8ZayhxnkpbMcQPHY5UUOlfmuMwPNt9IVZ6EWWamXoRaQZ+nCOkDxQWYrxCqXhC0KJMS+dpczHFXr1u+BTgnVj5rfDxElZLK2GekUs/XdZD9hK+ojUWqVLTjMw9+4RVt2/zt6Eh8rT9Kfgt3xD97NDFZvc5bCyyHqpy301+8BxKAvMY3z09lL82382+qyzqM0xhhSgZ5icIrhEFe0niK5bdSaqpfjovEpYKArjiFu1K6bhHbbzN68bbpzjvTAuHKyvwSRE0izAcBxzMykwxY5CaRzJTBokzmuFEhtIw7VL2uSoK3Gk1MY7Badey6DewOgLzjhN122nx1p6dvgdOB4w48ciFVROPYk4GA49SnI2glw1s2GxooCtuPG3caarFcd1ShGpfIRvMOHF+euab3MlwEdoenZ37iYow0H8kGnsxFMvzEOG9g4OL00ziWpOSYDCKC43EhGyR97b8NWLyKAbVzycTAme9q9Y5VC1zoFiAINzSUc6DCEBxXWYF+jPZ/082lDmA1qu0T6S4R3NQqbiDSR6Ir7pFcK5IM1BQPuF7WDjg12bChXKjDbjv01OmOWsm1ged7A+OCzvebamOOdyC5Md136p8ygdaZeTlGmjvPoOxbEoPcfO47B3gCisgct8fUIuTHAbg2hNh3v3/vUJkA4pDF5nqMM+x25997btPkwh6Q+8Js2Jl/75gfeUWB76HervCnH/kzvO5nfgEbwRE0VY0kTjAvZiJLo/1EkyM6yxJy7E3lhqy8DkJxiRDT//XCQLSj/UAPWDcNqlGBr/6Or8BL3/DTyOo5KFOct7kAllSTaepCAU5u9vgZB/kIEcRDQo+YzQRXPPYKbP/DKQRbPja8DVnvcjD2okSFxlwRTWHt2bPFucEXvXyR19CkjoLaTmuX1+kJ+/z68gt40JMehB981g9gnmxJ/D2KxiLvRcVtZeSSwb8o7eHAygX4yaoZ3HMmqLfsi9A4rUbLskAQtyDBum4rZLMc6+lRJMUY133kk/j55/88kptCHA+Ooi6EVoMmoR5zKebe+/f/M8QqvOvIQ1bOJXmSxqkkViTuEDCRIKIbO7t76fDOVTSnB8RUPdoXkJ19qmpytEGNB/zgA/D9P/pIYVGGkxBVUaonUKSSAIwJhKTil6Id75JHAjQJs46SH+Z/IHujchCfL/skzuVzLmZzHjE6G7hqX24zRl6K4GSDf/r4Z/GSH30x1utjGHvHURWiIG6+CntHXs58dOh15JIyXDuoLa5FPTwTE0P8zmehknwJRqgpX8Rxn7bYTjeBEwV+5XfeiiKg8WSCpqTmjSeMccZygXPe5GeEZerm4x4cNw/mfuoz8pEmOQdtYeQk1QSvUfB5RTRcptRogyLOJRGyCIyr8SWPRWCfJ4mjVOavclaoX48fow0aTNupEC2iMLIqCr43VqCcAHhVIwhCAcKrivNSIPJBTPq4vn4uT/9cPqtrpiWfBgfqqi27SWa4egyTryahtnARO9YpA7r1LdZzhgn5Ttdf/z6sipZ/D5K7mgxbBOMHloFKgtnx2vWbTpNcr4YM635m4fmH62kvxebm9v4a+GnVqT+8lxuJuqoS4OxlVWxNYhWeF6AmKSiulDlu4Lj4Sp1TclVaBazIlcS1JOeoRR0jyEL4WYCEe8zS5PFkYmcSskYZVSjTEsU4Qxm4yt3Da8nb4pk5r7LCiAkql5TkWs6YlFJjYlDPubz2kTZjkb5qZ0A9r8o4CD81msTv9Nfj9+D2+KcVMH7+e9AKHD//bdodUQDyBt86uzF76Xxrfq/A94UdQh1y0T6LgbkEdywr00pCKS9z870Rs7TcuGdsuWVOvh/m2nAB2+5sDi0LM01VGIS3EUKyx1lCNPcQ576A445lQk28TnOcn3DgOE9kpUbM4jEwpzknwXEadYouKjfQg6BAs9074YqzueLVey72FjgYOB4hOBmarEqojE5poFbK3yRMdK7V9DdjdQNB5XHVgePnGlzt9TwONKVQO71KtHxvFiEuTcORTEImrsTrjUxVGjxxM9ugiAphwDcj3SwxCDh7YNxd8WCSvNg71er+LtIWMKPChbsbKO8KKD4Aym0jOITTh8ZUDhx3fiWOGeYkUqgjLoRMLplVi6AKEVSJbKgEQHVL2s4JoENMB2ZbHVCroOTpwHHS+hwzXDe3lpeWqc7pFLtSaucDZ/MfPysbeN1Ey9prB+DP5EaeVQy016Qm4Lgaf2pMNdSe1oeiTMO9XxIFDEXR3dusMeReT7N5F3CbBoSnmXAX15Odb2xVOmVaIvQSPOtRz8Kpf91EhAhh4CPPc3gMKp02sadt5cQZtBkHKQFLwgw3BQRHuLH3fB9VUyMKQ/l8VmWIJgG2optx9S9fjRN3vgxt4mHeZohGISIy1OocLWUyuHk3cgLbS+5bwPEUn/+Lf8GVT7gS4SZwSXQcyMkwbxHGMWZktUp1IBANZFXYCjymatOr5ruC477ISQiY3lKvs8EMM8zXClxxzfPxNd9+V8yxifEkQTWtEVGX3KPetTJtF8FxaxunubvI7x3wGA+0Wi50JF5nU7SI4xh5PUdRz7F2ZCxs16KoMfLWsV4ew7UvvxZ/8Lbfw/H2CNa8MYIowOeKf8P6eAOYs+p0p7TP2U2XMqoCgNJBvuejbqlLHUmVAP8tw7Obc/ZJDlm84gxl9cwq6eFiZGrV8/5YxfDCV7wQX/ut3wBMKM2TI24jSU7QJJEVm2Wq3j806mUSg/1Hjtgxlln9wrheNeMPFxzXvqZzmvbTIdgnAit+y9Eo+xHc2ODJD34y/JtijIujUs4q9RhGw+73GItAucwzZmKr1QY63zL5ILCyAI5konK/UssVMZFAw7YUqWgesxKDet//XH8Oj33Oo/DopzwM83IGvx4BJWUXlOXKqj/RvjdJPAXHNSGq16HMVKmYGYZgHYHLJhHHQmb1gSSeRFxFdMYl3os8AQtpLl8FlH5S0NUB8brnNYZ326Isa8RhgrV0jCqrUGQFkjQWUlNREeQnO7eR70EQCBDO84o0kBhQWn9uWM1CM2K9n2Chsufsxs35etdg5t11SFn9BkOuTzvJqOzNURcA4n5fusjIdtVV9nd7bm630a8/3W/2ucXh+t/H4QRn+3/p9cn/LcEx/Lnr49qBB5Wveu6+CqyPclzCxQHjrnKNx5V5Z/kp+Dw8yh7ap0ki90E0tGUXV+khTRBKMpnM8Y0cRZKb0XVXKrDUdbi9IoEjJhLFIJXGukWC0BjGMSvGSpIezPuEHsEib1SKRKdcS0dOWuoyVh9asgXcHCf1YyJFqquJGNXTU4WkWcaHRSDVRn4RUlqqaJvmU+ON+NfijdF7cRn+t+eR7rJ6ne8WWIHj57tFdxxPAPIK953dnL+4mGd399rWC6NA1mpZ2MmWEI2PheK67ih9ZlYXxOFC0S2Fh7o4XOAGPM3hdflUt3EIMy6W0sAg8xDlDA4VcJQl1OdmSdtYtlFkfCnlotM/FY1xAuL8IkAe6c8ExzlhdQyuBT22w7v/1ZlvfS1wUHDcP6XMcbI3ZWMlBzDmuIp2KyOupcGSbhybcY0sncsCeq6iPjsXgINMJXKl9BsuE4y2J4jnZCnYmOK48UrdmFC7mLRCYnKc8+ICxSQTcLxse3bYre9prq5o1QIXsgUExug2wTqW+68Okx5cgmNKuY11p9TaDWSTETFNcWGLVx78ki73QEhdcSbhREKFmhLxLrNNt9kU8MzphRvg223IOpboGcDxfr9uAKTdpbELIeCJ3TVZwB0+rZIOsrF2iLoD4aWS2274TLigYdt7BboKXgt1W197TH4983uffrDPhOnmZXcPOz/tLl/Ov/SrRV5kGKVEGoEPvuODeNe17xIPCFdtQNaaPjrH0OtbogMb7Pxdf+v0nXtDNrL5CZC7ZqIhp8eqx6TAIx73CDzwsQ8VaYysLYUhTKN0guOULRFPVzoyCkhFcFMrFJIyxm+84T347V95P6KZh2PJUTRZTV40wiTBtMw6cJwbR4LAAtwJT9bJPdTSQQgGskaCOs+805hJAK/CpreJ0Veu41Xvex2yyRyTjQhllsEvKQ1B5nRvhqWP0vqcfBumoRYf0nAcHGTNHB5FrtMnc5wD04Mf+ZjNNzGapJjzuUZrqDd9xCcTvPjRL8T006dwzFsXBn8ZAWVbCwFkWeY4r4VpAUqqsJ/zuGmUoDD2uJjxGYi4fxd1rTZsBcfAZ3TeSLVB2RaI1yNcc+3VSG8/ZrYDZVUhAuefVsFxgqX0/EmMoGKSGy6VJkQXIQuwIlTLz/mM95MmWnpYneUHNZlmwK8B3MJwl/2IVVhwoqXEByKkWYw3vOSN+OMP/BmO5pcirGNUoq6v6SrNkmmljTwZm3P5g/Rq+a7H1xST4+vzCDS4pBGoUrVFz7/2MUIkAPC2P8fNwSZGXzHB1e98LYI1VpfEaKYhfILjBPGEmd9riTctjZIHMlpWyUjmfqeR5IaMeUZ00hsumdkZulo7SSWJGveSHVltFCgJjnea1spUd8arYgJMEDsIUZUVyrzCKBkhCiLMtqaYxGM0VSP64Zyj2KfYmgS/03GKqq6lXxMQp0RLGGscKmubAKvcPy47gs+yo5zmbUPmtXubXM2+ak2L19ozvS0isHneyY7JoZx0ilVfuSVH+lGjUmv7vU5rGM3nSJKf8+WyRKLGDL15bpfoMAPtvo8M5NEGrHVHPpPEv40B3btbFdpAj1zGweE9vi5pzzFO9i+lsFi5rmozVhnGxA37pmiO5yhZLUtS305DkSW6k9AOhNxXCcM4LkZi6BzPE3gZK8t4La38zfSGhACYp7mQrGjKKfjT6nUILWDgk/R9qwIRnEkzjxybYRkjKhOp8GwKlK3X/F049t+ZHk3fvQLGL+wjW4HjF7Z9dSHebE8gw/02b958QZ1Vd4uDyA+9AGVTwBsDpWjsqb44dYUdCCtDx7l4G4vMyat0EiFupb8F7uPWdgqBFmSTzZZi6VAoTuvUZKIhZ9yEYjImgTQXKOvtIptJNpog5f0mmyyykjIqYY2WhjECjleqiyclvsYwckHxra1BVtdz6C1wUHDcO+UjrVOEdTSQCNAyEuNOGjgOKUtlKWo9qiTjX4ZkvQ30CW/huxe4xcrjBRyfRVLZq1Q/jpkBOF7F8vsybMSQJlufo0lrNM0qMLuFH9vqdLeaFuiRY8cUG4Ik7jK7IG0IWsryxRWQDMreC0MAFJbyklVNnWZWT5EtTvyhJFvcE3kVyQh71HEY0rgViO6AW66qxM8Hm0/ZzDs2tVy+ckYdALuraSnNYAQpAduMZeY+w4SgBknGhhtEpA6c0zc4CZIexJbrkgqb/XfHqpm838uV5p1Fh7gAkbJct+ASy+/uvchHsZUhDlOUN5Z4zCMeox4QlB2onCTPkBHfswN7Nv8QFh4aLyogQZkCAqZRFCMrM1WvD0Pk1Ry1l+PEnU7gdde+HhgBSLlOMS5jSTCBKiZJVZOYGuDUD5aESNUiKiM85/FX4KZ/vAEbwQhtXgvrnf2acfCc8XGgpp7qx6PgIP8vIh4Coin4qBUUgRhxsosl7KZBidloin/3HV+F57zpBchGGfL5KayPxqi2CLKNUVDuwzHHOz74wCR1sKAPu4AjSw5ZjGfRixbewkdfZjnWN45gaz6HH5D12iKnzEnqyzALmxEm+Tr+6oPX4Q0vuhrpZogYMWgTUNGEkYnng564e79WdEibUnqwbUSeoqw06U4Jit6Qdr+TDPtO/x5XkSDmmqwaCGpceudLcNWvvFqGclFniMcpMDcgUPTGS5SUNaRBZyJCq6iFPa5j3FXE9BI4nBA7sZ6lW2HZDy6C4xrHiKeDAeQyvsNWmc0tsNau47rfvw4/96xX4474UvgzMscdwaFPisr9OvNykU0wuQtLDsnxZQZ3SQimIOhhVaMQufBA4knq9I85VrwCW9E2tsczPOKZj8LDHvcwVG3G7Ar8OTXGYx1VismrHInJvTAf1g8BXVskSTEM2zqMxzSoh/2LDFpn+OuWO5l2WwXHjxQLcayr5OkY5CSRNSoZwWoGMsHJCudFpWEilSYkQJEtLhrigS+VFUVZyD1INUQcwQ88VHWFslavBSaDtF3FkfOQXn1CZIEmvseKsNcq1plqC7jtDCstidJ5jajvlhhPs78Yk1+qsWhkXDkN/4M3gTyjUE0gBedlcptyTE4WkoxmMWO1Kh8hmVklwsKca/HLDmC/z1kbJmKSLAvg+qHvxXvGu4Djsx4ct7BG+hqZ48LWJnM8LqQa6xwm7sUZXMDxWio/kmyMUTFBNKXGGeM39ovG/Kx0vqekSj7OUKWlAOU0xV29bvkWEDPXViutW0nyqiwW52FWe1J21ZuGSNsxvDIsyrr8O4zwgfFl6TtwCT7jed5KD+cCPrbl46oLeFEX46HbU+1xFLhPtjV7Sb6Z3yOsQz+OAoA6VDToDD2UkYdCDBMk7wqvaRDJJrdFKBsAXSRkf+FIC4e2sB/+U1I9Pm7ElDUElt6WPsLCR5yFiCqy5hj2hboxswR55yHCAGHgsq0LeS0GQQTIG2qPs9TTZ3ZVtQ01UFwZAR7+0791XsFBwHEBMbIE3syHX4ZIhEXFmnF+I2vHSnYNFGOQSUMjMg8IkLdpg6rV8qsL9erZm7YJHmjRMuDmIh7OIqRTMhbosmRIGYF7Bs4cn3SBKSPZELF0ulqrMJ1sI6fmpQTxF+rqV8ddtcCttwWM66VsQVlWHJDsgBJn6OgAaqIK3Ii6wnqC3JGyKRuVZiMrnIAZK2VDsmkLBdDEaLPm+9T4t9uZCZvXtZEytRyYbZckf3RvEYO1HWiCkCc7I7nThJTu2PZ5lUnZ8XwcW3L46yFa797v0HWC43ts7tzb9mNu6705p/PT9JEzsQrPxP7a5/OOHWhZhX0v4HTXr5tvQoU+moxCFj6ufd21+MjvfASpl6LJay3LdU+wa2uTqKFkijBXF8RVdhic9s/TvauTy6COcJvBTwM8/plPxL2/897wJwRtKYvCh03dX4rbq+axAOrzCmnIIBf48z/8BK566auR1BHihlGaMle5Va88T6B1rnkC9wk73AFtwUAjXA04azLZ/QiNH4rGa0MQP25xY3QDfuya5+NL/8u/R3OkQZPPxd9n5I+RzwswudBruvc9Xfq0tVfX953sTK8cIaaLyy5fosotNE7aKGqMKixWJhZ8TXzDj+BNA9yhvR1e+exX4a9+9xNIikTUyrmeKky67KtnIC8eYTAfnaH/u7vv22A4qzEcqGX/zyrM+3///fHIx/+AJFAk1KlrnY+MaC2Vm/Kl0huMxenRJBKUNCNnuTnbhvNkYMTL08geLdsqZ/85J6vSz0EKjGs/ll0cZRnZ2X0grUdYz4/g8vs/CeVnaozKsRnqKVMwCtivWwFxJakghrr93KxmpCYlJfx5H0mYYKvaREoD1RDYLDIE0QgxRmhK9irGiTluDG7AvR9yH1z+/KfASwMkXoJ23ogusUoSmTeBgZyajFCzxW4uHZii7pJVkS0RB+giqUOveYdxsS0/TIRkkxnqlAg6xz2fuVZN8lgEtlXhxU32OvOwipI/Se8ViZ1+HVmQpulcQ/vEgxvUXUrHActn/9DP3ztlfJPlbsLsCxJGqvdNU2Wn+79zKEqSso6tDTTB7KTUNK72UBeVxtjGZJZ+aT4X0ldNelTbo19c9153uplQnwOTk5TJMQF6TeowHDFyj9/Aj/1uPPP3IlNqY1gV9634gonPLglkQH8n9eYkZvQ5DqsTtIMcHowl+xuaYFLKK48wmk3ECNMxCqRwlskdH+KnwOqlMnIJv2GbH7xb6V2bgXnQimljMh8jnEaI5vRgYxJZfTm6NvJVzigbzwSspwly76l28GtYfWL5FpC4rfKVIBERHKcUVCPV12mRIi5H8OcRmrwt4Xv/K15Pft3fwPtwB/y953nUolq9LmALHN6scgFv6tZ6aGWQ1/crTpbPq6f1PVuWFSaNmJMUsYd52GLOxSbSDSuD55AlYwTHuflV/kRn0mkKDLfW273g1+UIC8p200ApqBQcj7JAvosDMAjMKcONL8mzS8C2CI7zbxKckckfGDieUheZunjURnbGNCtw/II/3C/SExwMHA8Q5TH8eQA/p3kSA11l5SyC46rbyD/RzJLlecz6I23F2PdCBjeL7E3uYSwkE7AiQFiFAo4nMy7mZKI6cLzswHHZwNShzFtVUqOclAKO0xBKmG+HGNx+kXaz1WVfBC3QQ9SOGak3NQTKnQ62aFsLGKCbXt0wMyFM6TCCMeqjIeA4MQVhiFM+hYzAQak/S9Qc1G1AiOycZZPqmIhum+xYUf26KRc3NPEylmO/mT792jgc6j0Ovh+8uCM8HQLj7vmLU93i5x3wvMdvF3qNQltON2afDmWGlN1zOYd+t2ewvSS47i6DjG4yfP04ADJg+1+38KTHPQkBvR8Kpk4IjitQ514qz2BGiWbgx7917MRBhcIivW2QVBGzNoLgwMn8FL7+nnfHC695gZxTgM+KLE52KjKHQz0MSZrcq1t10Rt++o34k//2J2K2GQpQrGxYssKpHS7WgiY1IVxxqaIUYQmpFBTDTSGiV6jbUiRbSutghI5rPwfuBLzqN34e3pcn2PK3kHhufJCFSs1xLf/f+er1953Bp4GHwg7uWlKuc3lwvIHPBhFwPGa0r0AWAWU/F2A1aypsUG7mBiC5OcFj7vdoHMcxhHmI0IuECbs89fX8guN9isX1OAU667DBrJ3h+S97Ae5x3/8oRqgEvoMwED8BaT/zBHKsaZHGIBuSOBPNOhmTh9RiVRlKaldL6fnu4X8OI3SZj1o85HwLTMJCKmLYt1DCYy6IEiVFgGQ2xmf+6LN4+VNfjvVqHalHSRPtW3kzlxiQTNOsKaSyYVawssGNO537nc8CRwH7QNOWrLVAIVatfMUUJtIkUZBhFpzCJV9/HD/5+p/C6JI1BGGCYBqi2WavY5+z+x5kgXjlTuqk7+3GMu4yqIP2snXA3H+dQrnGs4ZNLwwzgoUExz57EdQAACAASURBVMdzBccD9noD6gJlrlPWZWfuZwDfDmSP3MzleqDz7dATq8TUUCTdge1WeXU+KLxLdR2VhpK2dmt6J9Sh7eYSyLpSuUSYPiiRRKFnSBOoN4AwxHWedfI4mq8wo20DyLU9rBKLnXPhdabZbFHGxEmm9LI4vCfeTm1yH7UmtwjC2pcDz2tJeClA3oHJ7p5tNTJ6kD7HAXivSRBeiyVKl2n/8/AZBcc5JgPxOxttjxEVkcxrcr3czjFJ7MDxsYLj6m/hkjbLXYjOCpYw8CmlFCGZj2Rsxzn7hVZXucoox+iv4lqY49xHsv9dSHLVcnd2W/mUYlbsI5WXo20qhK2PpE6QZCnCLEKTeWUQhJ8K1sJf9dfxftwRn/U8L7+ttNBh3ucKHL+FW18Y5HPcpzxZ/GSxPbt7gBJBGqBMfMyCFhlZyzFL4bR8OWp2g+OMTRjUOxbzmZazW/gWb7HTKTiuuog0pvE9lhMGiMoA4dxDSN3xJha5lT3Bcctay8bQrVPOpItBeFSK9APlK0QTMWAJpyVhO52222rr32KP+YvqRAcBx2l+xNJyT/oq2XOxGqcIwCw0OU2HWcAoAVZQSV+sUmWOM3GjhpYX5uXAcRcEylgx5CCoFNznIh7NY0QVKWKGvQWVmYoaa6EJwGCYmunlpMCMzAV/CI4fdCly71+Nvwvz5FdHvdAtMNzcOH7csIRd9owsfRZmEsFMZSUKoMQyaYLiVahmaiIV5gBy/qy6l2qupiulptd7Q0xJwMtumjqHMrIHgIP+22lXq+6t4XBmkKm7d2VyLTLNzpA8Hg51R4fbb/jvlzhbAMrtH3sdYz+X0Y7Fbnq/+zzsrnLGNc+BoVBX7r77BI7lt+ep90oE7Hwj7zfWSiPRrabPXRrhjT/1BvzP3/8jqaKjTIkSx3r5GelNVs6rppZmemjPt2/G4U89QNcD5gRCGBvVmAUlXvfma3DiTpcgGnlqBMquV5GZ7sEPQgXGeV850EwbPOmxT0J1shZwJyBryvStRX3TC1CL5qwBXCqkomCo9EThmQuwpNxFgpAEzKkp7CEJQ0y9LXzN/e6K51/zAnwhuRnTdhsJpUsIXJYtwjBC0ZLJOKh8MAIKh4J69ansQpdH6sBxbY9zAcfVtlIzBTV1RNpI2kLSA14uLEtaAlB5LCpSjOcT/OG7/xDX/uxbMc5HCBttg+VfTod+jyNY5up0msM6JBzEo1UnTgNZQZtGfFJo1Drzclz7rmuxdqcJmpITVSMa65Rt0coTA7lcZsuCcppMsopTPIBYdRZp/FOQgUpZmcOuPFtUpepAYcphStu0lPIoMNlYQ5XRn2UsVXZXPOo5+JdPfl72KpNgjCSM0JY16qYUHXY/DJFVuVTESnWCzWOa2FIJFD4i8tKTIETEvWMxFz55mIyQlS1yVruOS4zvPMLLfvElOHbnYyJvVG23GM1HiCk5OVRUcBO8myuGaPbQs2A4J9s85cD0hQKiISt7gAO693BfVUxyEKwTcFxkkox9zp+belGWeVDVpOuYzWm9xlFf4TTws3RrWAeuunha5pnlk1vLjzv7pMiPsLpSg+YOCLcEiyQWrFpGuckDY02Cr5wriljiABmulmSR5LWB4hI1OHDcNLAXmNYd8VofpLSpmnzsuD1dC4ZGn/31DKvNeuY/JXLEQWIAjrchpYaUXU6t7JLvMYkV52/gfEdY1M22cQCwm4P7a5MVoat7OufnscQB2O/VB8AXQHo0HctezoxSZJ5jYkw8bNNGGduRprCsxZc4q35EojpLDnL+pME6GePBPERUxDI3ag6E4LxW5DRhK+OtSAudU1kpf+CYZulLXn1woQV0Xpf+zuRp1SJmgqNKhXDWzFF6vv+peD15h38c78Nl+KeVlMot14UOikjccld2EZ9JAPIM9623i+cVm1vf2HpNWDFQTANUsY+KGlIsmmTwJyWlDAJVQkQ3o6rZtgLHFRyvqZFnAXYoWk2UevAQZD5i6uk15CWxJXVFsWo2LUliQOg2/o5c4JHtUguzoU7VtKKOteRTSjotkBluDS7i7rq6tQO0wIHAcWoCl9TI9yWgiupYjDkVYO7BcRUCZvmVp+B4QGPOCs2oQR5yE33hwXHH7JDSR9vdhFWEaBYjnEeIyljLc90YIn1V9C97SQiW8JVJhXJUYJ5OUQeVmpB27M2zXY4W0LUDPJ3VW1ctcOtpgZ3geL9h0r/o5lhZSVqebuC4UmqlJNrPVdqIa5poMsuXbWIdw89p0xq4IOZW5gOq6s2a9B2Ipxgra/AbV8o+BG27eGQnOG7HOlNFSJeRPt0z2RPx1g8o/nb6l8N093qXyHHsP3cSKBgacnab2YVL2iM5NwT4ej72gOA+AJ3PCvzf/xapXRrEPuZ5hiRO0GYNTv7zSTznCc8B5h6iNhRAQ0AnA5GYaFEQlr/XzbEDRHa3toEiljhxCRRHBc8xxWh9hBvyTdzvAd+Jpz7viSqhQoyaaHgLlEWJMEoUWFFcAH/x0U/gqp96NZIyFaNN/kETNXyxV5IRq2uNmqaS/tBrqHsE/U3NmLIVBZnW0pdDkV3gc9tsTuG5Vz0X3/yge+Em/2Z4Y56fbG0PkR8K61qSA04OQLqtompDeQYHn3UgmwCFymU8F3BN2KxGo29bVo3RlJtMfx65VOZ4myGOCYCFSPIRJtM1PPvRz8bm352EP/MR8vmeA/NV2nef7iX3eBayKjIMrepEwXGXhqvFw8cbBzh+l0vx6l+8SqQ/aq9GGFEjWiXhJHmizo8duO4uSp6PsMbNjJxSchGrOUtJiZyjZP+5LQZmEqjdRiea3gvKkjlNJVryOauEwzG8IkI4C3HyU9fj2Y97FibNGqIyxCzbxon4qFR6EOQeh2vIqlJ6NI/J727vwn6oYkmtJIQKou6oJX1Kc1WqmM/qHFgLkE9KvPxNL8el//4SRGshYj/F7PoZJvMJEp+lHV1O1H7WAG7YJ6x+yJU0LRSTiHa1HEM/N6wgUh73XjOKTtyUVSkmBUoHjpuMkjJdGfPWQ9VLOY0aMzqVCI7VISNc/+DGg+Z37N8DsLy/aa1MOTR6hRlUyh3ZdTqg1a31lB1yLHAxziQbWJLjTBSyOohzhlYBueV0OE+5WEBNYt26bN1e0NX+g13iXMB6iwi65LKLSfSJdibZjN/dIx6QypVRzgoR9YUQEJbMcQPFRU6GFQIxtCLbgHk1orXEKtuHOvLGjh4mKNVjoq92O7eBvOSnbfxLNUfji9wVvZeCXOMxrYIxKSgDx4WxHVIqeihItVwPlFpCIUCo3xqlOQmM8/xhFVttmILjTLQS06jjRsBxfgnZbwWOL/nwz8/HJISmlwLn7spHkIfw5z4Cgk4t/na0MfoVHMH7cDt8bgWMn582P9ujnC0acbbHW73vLFtAAPIa31KenL8gm87ulddlHKQxgjRSG6MOHNOyGMfE6GgsXQBziJnvs7zXC/U2Xdt9MbegBjsDM2psdsxxSquUZOMwk9uD47weJhtEvEJiThrNLJpzUVqF5U9lUqCKSwXHw0EJUidg3jOyLtR9ro77xdMCBwHH2edE9if3EcwjcTtnaZzGpQqOy0ZFwC4Dx6WkuBQGNhM3NHepfEMclmmmQUBrZLFdR3GbZAlODRznppmAeLKVIqYGqkg79CW04pkQKKtNSmQZLEe1MN6LOBNTToL6upm2TdQCqLTfzQwi8XMsS1ymuVafWbXA+WoB7cm6Dg3g0n6jLOxvXze/HF/8N1lilEYRcNxHZOPOjV0HCHSghPlOu/xTVxFvJ1SG4xBh3gcetbG5UwJJgcu9wHG3ET9NiNmxmXnw04Wiu/+mn1At1dOiG2ci1p4OXHfgwc4HfrpL3W+fe7r97x6yHguuqHt1ODteXhZI1mKJF+uyQuyRagxc/cJrcN3/e50a1hEcH2yCRauWJfki50GtSzvYnoxBfY7dHD0AybVsvMa8zVCPPMTHUrz5V9+CaINGk3SAbRAlsVwX9cAZbFEbnTrSr37BVbjuj69DVLjybwIGZIqycQmUxmglg+MLq0rBcQPgRFrFgeOssqyQh3Nh6MZIhIVcUOd1zcPr33sNwkt9tONKZL64DZW1K6IkSSHsxc4kzunZmtRKZ9QpSEefFuj6mwHLy0EbCigSPOFLxrjoJxOwZBto3O9HLebzGeIo5YYZk2oDN336Zjz70c9EtB0qy4y0xCVfZ4IGzwS885nw/mvx/XHsV6WikOJD5jt9Ur7rYd+Dxzz1h1Th3qsRRSGqIodPaRXNRiyA492QIFHFYp42bsSzpIlblATMhayimvmH8nJSIiKxrHJVUklg1TiSeCwrTEYTzIoKpzbnOLp2AifGxzD93E34k9/7I1z907+II8FRtHmFsPIw9hO0hZIhPC8U/X5NPug056on5IkL8xgoCcBHocSLZZkha+aIj0S47Ctvj+f93I/jDl99R0xRIGd7s0pxHmCtGfWJxW7x0LXInceyRIvo+dA3otPlH0heSKWFTpzyXM3TqXtC8mA5nmnASuZ4iSpRDXmm6URr3XwGNBlmELstEU6j2kmKKmlsuHzoBe5XCdX3FE0uHKahq6u80kepqT5NbnPdD+y7rvuScaS9guxTrRqJc4YZarqkhMgeDucqq/LqKsAWBopoty6+urZT8p2altpbtHssvE6XO5NkJX2TrDqpB8s1ZiCjHImn4Di3DvQPIWhOlrMZOfcl3S5vqdejmv6DKrjDmAAMHOe1EBwX5vi2MselasTmLrkXEh5Z6TvJRBqzj/j2aNSzvBfxmGGit4ngVxH8IoCXB/Dpu8ZqLA4qeZ61mB1Ta7xMKBdriQnRG+e1nIlhcJYXtHrbgVpAKy/UC0gMOJsI7axFndV5HCR/nW6M3u6fwAdxFJ/3PMmir163YAuswPFbsLF3nqpt22O4Cfecn5pfOZ9Nv81r2zgKacxjhjNxgMKrtBxmkGXWDKpOr0MlrkO8lUM5tUJqDEFVu0wzcMocjzMfEbNwOTeCFMF0C4UrR9JFSQyfbHFTkUu7lZAMlRJFnKOicQWD8lAsY7QUxsDxjuVwKC2wOumtrQUOCo6LUV5BGaBYwGaRJtH65J4KIl2VQIEGkiXLZRMDmpNcmOTLvnZe7144zRCOduchwJCUCdJTYwHH+RLzIO6NnDEQN0aiCavsr4ashZSGojnyKBNWiWNc6XEH7JY9b2jnlSwfWC7bXqvPrVrgvLbAAvDmNra6IRZ9ZUqmkCHOTXCpbHHVGOfm2VPWrQMHHMY5vEDb/O6Cjxw2MOAw7b4v/dTiZ3eEjMIyG8pSDI9ypvGsG8gFw6j9GndR6tTedQZw3HJue6Lncv+q3b4XMC8QkZPWsLN1GEHXBExc9hvLPkHRz1MOtOjn1WH7EQxSoGjx5crnh+06SJ9016ysPTFop8xETc3KUAyeb/zMTXj25c9BSrB4Bzgu0HJLuRVCmz043rOEh/OqNuJe4Lj4SIUBTlWbCNYSTJHhR57xBHzPw+6Lmkaw4kvWwPMN5OYyVQLFZoEnP/6JqDYrWfOYJG596rAq01wA4pamk5GBCIzwaGLGAE0hWL+NBeiW/unVyKIZ6rbAGCmCIMasbvB13/If8OyfeRawXiNKW2xONzEaTRRspPEVzeI8MrQp7aHa46rLyja1hK5JDvWA4X6j5OCzgmNXivJxV+2h3gJORqPIZzh6dANZnqEtPIy9DQTTCL/2C7+KD/3yB3GkOoK4Ik3/4C/tRjvJHbv72enTVqoZ3BAcF2BOK1ckKhfWZImZl+HKl78Q3/Tt90BFBmVTIfId+17HH9n+LvG2UFAisg/cA5H5SD+mBi3BnUirOykrdyE9V07bqsaO5Z1QIo/3QX817U+VVPwmjYemalFUHi657I644caTqOYFbjfZQDwP8VPPfRU+9t8+jrj2MfZT+FmLtWiCoqhEXkWY4waOu90eE5oKjpsZYhziVJ7RfgLj9RSb+Y246zd+OZ72/Kfidne9I2ZtiZLSPIixhgnCHCi3CoRe0BEYHAjpEmXyLIwN3yXqbD7VqmWdDfVXBlBzZMlU5iZeLU8SLLebEjmGOefVai6/VgmLtWFVJONEYw3zKLxPgdhdKOz4S3ZMYdBL5aG++isyiH9QFSH75D078pmyqwcfV2f7Cb0cnc903Jg/iCXEBRSvTD5NzLTVQ0SqyAxYc0abC/JfA+i16Uw+9aq6SpFdbeFMeLXthibFXTxv8bksnbYYepb8cL9znigLbWBzjIDkDsfg2CGuEakWuUitsGiW1aUy3mupMBkasiruYfrpsv8emnOebaufx/ftBMczZY6HhQPH1ViYJsJiDzOi1ncu4LjrjApM74rOzuoi2V/Y/6M6QkDvqiIAJyDZU7KPsPlICvQaFGEuxKQypUSVM8lmUmIFjp9VY1+AN4kUD7PHuadxfuWjLVG0aP9ytJFeGx2NPoTj+BfPswz6BbiG1SH3b4EVOH7IvaNt2yM4ibsXm8WV1XR+PxRFKpgSyw5jD3nYoAgalVoRMIkBAxCI4cMKHJcNrmwOTe6EE04dIM0DMQjkRtE3cNwt6GxfBl7CHPdts0XwweI2beAWdVQiC2kYU4leGBdysvoVxKO+pW7MDo25csh9d3X63S1wEHCcgV5IkCv3EWbU7g4l0FFN1b3BcSZzSo+VDBXqEbXjGGyRdbfc6yDg+NCMkw7sZEqsnVpDXCbqUM9NC5lOYh4cdOadlD1iWXSb1qhGpQRqZZjbprZDsOwG9gPU9oTolw4sl2ut1adWLXCeW6Db2Rv8aBtkbnDIJqHBIbUkyQai5BINp8k0IaNcd7s9tityazuqp4lX6abSvjcGxA4A1j1mMcOLnWH14sZZt/T2FpLAlgbHh/IVp2nXPYFxOekO2YchxW2Qa5NDL9bVK+vMAFG3ObVn0acEjBE/kE9YvEo3R9tvndFZ92D2+r17aEpwcDqri8d1bL1ewsoB+EOQnSBJW3mo6gr+/8/eu4BZtpblge+6772rqrvPFVAElIlRHDEToxnjPBmdjIo+BA3eo6IRxwCKqBHQKFEQ44UIEgUM4g0mUaNGk2hEExUHI04UzfgAIWMmgqKCwDl9qaq9132e9/2+f621q6v7dO/qQ3Wds4un6D7Vtfde61//5fve7/3edwbksxzNQY1klYKgxYu+4sV4x399h0CXwBynrytBF3qxSACDLe/eRj/CpDcGjpN7TtVrskOXeSMQ9I4PuQsvf+U/Qbogcg70ZatYdiAdNMCv/+Ib8M9e/kp5bCR1ITCVBpRGj+S4pIi6GWIJqpuueI9KgOMUHDdrwhhtXOMwvSIAPa9FQcQSCZ7+nL+PT37q/4J0jy/rUK2WyGZzI2F2FdIiRptQ2sPAcQEYYi4ak9FIKQ7YXW8ObLglGLPQOjcy6itLHpBMeELLlMOJcX6+wPve+x7M5hniKEVXJTiXXMCVdx3ghV/1bbj81ouY1VacvtkvWwOj5v4IM9pCCMUe+/u1UkWC4BPmuIA7k4Lk3CqxQnIux0t/+OW449EXJPmR5RH6mjI6LsM2NcU9ihNpcwmauWbESd1cZJG6OcusPFnn3M0O2uT3bf9oNTbsAOQo1exEEDheI+47zNnlQ9AjmgExNe47ZEmMtCnF4G7em+PlL34F3vzG/4RZm+mb5B7u7zvFLlYli0JB+IpSGuaeZHJY3HAaHNCM9vx53FfuA7MOT/n8T8NTv+hTcPfj7sB+eyBgfK+4G6v7a0T7QM7u2kWK6mCJXPpHlkmOgGgoVJDOrb7/8a7lyRRMbEdWt+VTCgCNyBEqi34mSW5GP26kwy7meFoJHK9zym3QUtRkK2W0G8BxmfCO5Uvdtb+nZmUoqkwn65CRBenRMZaeTi87FwfR7RPMhM1eGsBeA7pH82wyxFkEl9FmzVyff6dx6lg0X2Nzax74M5rIxGicSFQZPKe9KyAOrGvurCyO+h5gB7mN3uR9bGhHRrodpW4OKzkklxViN5ueByXgfEyCalmIUyaSVZT0YNerNMnTseAlSdMBVDbJ1PCZAn3DZ3gXyqnl38eA44v9XZklm/ztFBzvTQZzsRKZiZ4xtkau73lyvZk1gOM1PZ8KGf5Kho9FL46/DNpT6dpTpaNm7jWv0Wa2RlnW5JlqnS7brw/0CNAzhAQz5v+M83seZ1n21nQ3/YHk3uT1WODdEV3Pt1+nMgJbcPxUhn39Q/u+P4cr+Kj6PYcvbC6vPjGhOmLKQKtDuyBAzio7Dwwpz2njS91wY2jPGegWY5Aztu7YRhzih6NCLGd19YUQXueAg+N2YCQo6gRFwzYVVuWYaGSDcYk4Hh7LcUz5JcDBYjaLxNjilbVYxocGjAdwfDjMGPDaAXhqh/NtMHe3l3BkBK4Ccsa2xAHeDawLV01NqgTZYSZwnNIqYs75QjftRaly6oM458hEYIBDFnblGnaB6RiuZv1IHVsQbQ+YyjgY0DUFyccWzMnOEE0MgQiItT0yurNfXiBvCrUNBrCqb3uk5DY5fkcmCCWKyJygVnqTVOjIfhft5RhDnWPZnNc6qs7q7rVdOWd9BCYQ0tCOPhGWXl9Uw8IMjetaiIOJHZM+SV0oEbZvmkt3ZWc/d/Z4QrCFWmBh2gdWnuf4A+EvMMZ9rStpZUFdtNmgtXKEGj25xqE4590fBlC6jmYAmvWenhCHpHr6UNfAZvuHEcPwdmtn7YaXXWs1X7VHmVuiJXhT5tXRXMJ/z95/2HiHe5GCh79m+OwJ0ELt6uH9j8lTAnNuuLeh+8U+kUXE9XkyDpDYmV5cOLoWAouWrx+hoUmLu0d0BE8U26UxynKFxXyBbtkhOUjwJ299F/7R175ABVdpzirQMSAjceZ40KUJDHh7ypOxGq4+oBvhTk0GIEOCvJjh3eX7QFnAg/4Qr/3JH8POhVRsQALkPG86gqFpBiyBF/3Db8fb//PbBShSRsxa0J05rtiM4KAxxwNw15Fy7sxxsSwjubrpmTZosEyXyHO2tpuBZTvP8ZJXfx/u+fBz4JLplyXSeSHAgAxV0JhMlScC4fYQrLU/mMVxmRmjcZBdGRiQoXwSYu1xXq0N3VUb3Pq5K8a/gMAOKQ25JD9mNp3kBhNkSlrrDU1TmldyLmXSlt2N9/Bb//pNeNXzX4F5NTe29gAajc/KCh4m0TKZeZPOx2khxLOEYxbhceC4fYqtjobXrbXGORrA8QaY97jzcXfjJT/+UlDd8PLyABfO76Dbp4tsh5hyO2G6DdIh05q3y2wovic4bpIAPQ0c8xZ1UUtmLjBSBymcIPLi+vADUzPIggTm80nCh2OZ4wEcb0TAyVuutRR1EyPNZzioVsiyBHncIKlS7DR3Szv+R37gx/BLP/OLiA96FG2OWTRDx+4LN5j13df16Kmb34HSj028QpUD+2mMD3nC4/G5T/tsfMInfyz67ApqHKqI0JP4s5ojWeXI2KWYJijrQ+S5SR2ZfvMEgZbWvx8ogw+Tzx4B02OOKdM/5VKh6BrIQ9YBEWoqAYOmjj5jP3ZsEBxvFtRA5hqkd5QVoiTl4TmayX4NdgkqFOgI03bm83wIXsM6nM7p6RqdPmwXAZKUkRlVDxNxOF7Hn14VfQ7DdZS5ftyECutiPCUCsM/yHtngJqXi0ikk1tdWBFeHmCQyDBwfjqCBcOz3qiq4NoHBQ4HDz07n4Xk5MD02BEiXw/YGL0qEMyLscMZI5wsZO4QDfdRI516rl0vmjfKkNHt2EJ/7WOO5y/T40JFgn8v5IC1yXkdKQlpnHSKUTZJ0kl+/LmwshpgRsUk0nZosiGMuwhxY1FrmmB0skFW2p/FcIfhPU2Ix5Ged/JbU6ctuKa0llwrz7oEh9Bj+Ego8YX6GIoWNNWX1spo+Bjmiynxp6Dug8W1ZWPJuYxYR2bW7aNV1Q3BesQXPv4exrMpJs8rx9dN3ChFjOO/HfWrAAGgpTrLLYYq0SWlSXXZ9/5b5hfkPZ4/Mfn4LjF8VPH3Af3CtufEBv5CH+wcKIL+MJ+B9+PrD+w4+s+vaPF2kaKh5PWtRZQ1K8S6AJKYJBw8exu7MQEw7zdrVrE3WGGTcgKnZKH/zwYjSdOvs+BuYZmf4AQxeI54wJqyeUsOJrY5sWaFpSZ2ClTp+Cw9nZxO7AGfGFLJDfereblVf6nOtolLOzvE81iHX9lKFl8P6Vcn5GR7H7aU/+COwvuFay2zeZZgvc6QHZJATyMgtHvWEXXZMAkmUhVgbfRKLNdWdK1FlJVqy0Ph7JPKp7ZyVaEoNsa0umDpZOqF21QlAzndtnU3Cz1BaEwyAY/887iVis8bIuY5KIFlGmDULFZ/UVu0EHeLk1mDBRLbR3lURGJ8z8G3Q9CVS6qnGEWrhdNtj6MGfedtPuNUjENhTSoSmhVLDbV2MgutiAqbxH4Q7OGhFeYeeUmC5DHmzimxa041kS7Wx5gJbyhl909z/CD5g1zFygE0z1M417gvWo+/ftp2MX0F/NLyn7yfWDh1a1c0wS4w0gncEWSdvEkCWAVAeZF2mbDTfx3i+EtiaGAprpCbYfzDEnJ7xA4zB5HQCbg/gxuSWRoO49advn+PjdAPknGsWwI8Yut3UTuZ+C8d//I28k00EPQd2x4lFbexq7tPzaoav+qxn4fCdhyhWhWLFdJbj4uoSClK7OS8FuN7o19HTSzNT5YkuiVW0reIGn/Rp/yu+8hu+zN40VZAK0VebBO9+x3vxdc98LqIywyKdo6/q0U8nDITGJWhvD0/bYViXIXBYlhB3Os9x0NTSNr9ntouD1RU86gmPxotf811oaPiGDrnkCexMFfM1Vc+5gQj6CGuxMCDZ1hCBiyRP1N5PoMMY5QGsNRC9DibtR+V1HACazj+CxtM5yrO5kwa6yZCMMgF2PQEUHIrVGpcRMFuUC7zkOd+Lt7zxLegOK5wv9tCsGsyjHaRxLsPRGgZEdgmZ9wG4ZAxMbXqOWuLFnQAAIABJREFU8gOjw9eaH3z2OVLFwCWBa44r36+jnaqyf5T5Cp/6hU/C0573dCwJ5DaNYvDZKkNSEb1z1qu0ia1uxy+vyXnHgZkzcr2SBMOwXn+SIUTWcUbAh0BUjTqu9LyI6Uk2hHsovRoIgCoO8vdwUIox/w0s/2svkAFk91LBpIDiWKXLZtjnD6AjnzxzkWqOtCkwQ443/8ab8e3PeyHm3Rwp5SApD0ltfQLYEU1m+foWbUcN/w5N0eBKfoBzH3IBT3rqk/GpT3kSFnfOsWz2kaTeYcx1RNBsZe+XSdue19qh6/oBfB9X2fRWj0A/YaoE4I6HQuVnCAE3SuexE0X5JQHSVCCvPVArPgkQZ9w6bwUWyljVDRntHB0/PzyXo/NvmLE6Z4+bnZM5PYCMRx+hnUEm4RTWvp+da14YuqoAw681IFmRMTDP7Vwf1rD2Fbs2O7/tW1ryYR1zXnJ+stjNIpj783LvZmFcOvZkkatQYdJU4WwMRzd/ZJOKa4/yNNbtQv1u0/I24HnYu7itevzBRXb0XBuH8+i+4Pcy+bHWE9+MGKtYymYqSO38hN9kvnPZuv68lfns2/Y3sto7dH3o3LHClzqOKJ1EadMALq8x2S05Mkmx0/Uc4M2z+1feGfSNWs7kc8a5y5XQZo06eymDiVkvqVaC5YoJSYAUuE+M2mX0XJbK5pHLJoXnpRzMdaqRymw7rWLEqwhJlanDkPJOnDd6f+6RlKehmfHMDI1ZUCQrn//OYpTtKQ98BtxohHCWfu+B4p5jR2Wdl6JCsC3KEK/wPPMAO+rQ1DRizhFHGXru4ywiySuHfhRAWudoV80qzuLf27vrwj/FebwBO/iLLWP89GfSA82P07/Ch9EV9O/vz6HFx/RX8DWrg9Vn1G25YPDXF725DLPVSMm1VfZ14GqztPY6tR/6YWHJpDFQlBYPh7KZnFgw/hAAx49sVkP7lQPkakevE7Uc8dCSPpcMzWxitZQjJ1AXAIQAPCiIZuDdo4wqVbTZGUlTIKYcLQ2i2MU0JFcPo4m6vdVbMgKhPdTA8QzZfiz2QdwXAzhu6glcs81wEKvtOk5QpRXac0tpeNexmfgyYHRVIDEHBI5LC3NMzLgrpHK7H1njw7+TuaPOFAtjxTqJYzTcSxwYz5sUxSpCvASyrgDFLrXXMEgOHaxcX7ymtEKZ1yh3mMzxvxmYVci4B0lnUtD/LRnP7ZtsR+ADOQJB99OSemNnBmA66Ijan3ZVBsVaEs0ENkieUCqF3RfUX07LXIxCAhk624dXhjtbB3MG4l74vaGDbDoS5gUQdKPXwKBA+AsgQgDuHbwXgDiAhVb1mrbfE4QzgMJhn8DC9teYP1gAxidt7j5mEUEVZx0O0OExMirXAsenRpMbPfsTIWMBXN/ok4cCynqF4sbfS1AkTY1JBGjmStKoZ0o2HvfueTnDf/rp38YrvvkVeETySBEFSlQ4v3cHLh1eQdu2Yn4/kGfp9a6ILLWma1HyfGKBlITurMXLf+hluPND7xBqcri8jMUOtU1S/OwP/jR+9rU/j6LfE6uQJ8e6IexN3j/Zs70gchRpjr5aghKdn/fMz8eT/u6TUc1M9oNyKzKz4wwWOG5sYwPHrCsqrNJhrQrdtHUtoEksc+rHOnge5AAGcM+B3gkgJ83fAdhZ16g3QJ6VA2dB+joJ1yEPDzccDPIR04JcUc/Q/lmPZ33hs1BfLDGrc+z0u6irBjMs9PZVT9mRyuRjSOhQQStHQk13Emxogrohc5CjxpILwdAVQVuCcLyHvjVDzqzBQbqPr37hs/HxT/kbKCkF13aS08kPMqQVZSM6gX9kDqvzzHBbL+JPHokb/8q4UdI3vcU7/EwSVmg2l5GNTLDVCEK8Psb6ZN4KMBIJwPZePk9lSCcFx298ul71m1boyFDEMzQHDYq2wMU/vYh/+aM/hV/+uV/GbrLDB4g8zsEiYdNWWFYrpHmMu++9C3uPPIe/9Xmfir/2SX8NdzziDlxeXUZcWADYVDV28gWag9aKraXpoovVK3Q0dA9NilCTfTcUKYeLDrJctjjGpUI1JE5fdlgQhGNxTmoRLNilYrPqy/FdejjVJHzNK3QE6oJs0QnGcdOXhvPQ+h/8fFYlKhSXR3jM68UDOG6Fq5HJbGeiAWNroNoAZtINix3MJn1hmtD0ESFD3LwzVHdjzU6a4w66twqkfUFwfaxr0MfO+tYVB3NhGVv6HCcbWwU8A8wFlmtf80c4AfFvehxF3nFwXAA5GdSJ/hRIKwKfAYLwApWq7BoTH31uv5JgCn4PZJBTf9xyBa1t+g0MvmvTCs1pd24bKZH+HZSYTEhwWuZIaI7JvCYKxSB6llFW0ryXDBzn31kv5nwxQ8/w7aeUMev92+aX4TixZMdI/iNJKZYsR1yz0zBFRuMBj+lYaKiTUkacBOdJ8OOYcj4MBIepZNJNT4Cz/YJw4l+r+HYcOH60FifvYO2Jop7YX6090710vLjlPgLWHcoqYc8WNsomrZI0/f1ikf1gtjP7Zdy7BcZvl1m1RSVulycRFlbf7+IAj28v1c8+uLj/mV3T383AiG2zEQ2E0laGFQ1LtTzgRLVYr1bZ6exVcVGrvMXNQwBbuCMT9aFWNxS/hhVYaWuyDTUWOB5XsQ4uHiKKjUMrrXcFhj3NtPEMHDfTH2o8s/ILsVRoMkQ2jpy4dRBtl9FttozOxOVMwfEZWQeHNObMjAXoLCNrgWT41IqRpUA+JpstNnB8d6nuEkowSQ+fbLeIjBbmqCM4zvZtwwasZCbw24vefFe1nvs0FiHTmeMWy/K1DMwIwqTIaxreQoyFtKPhmyX4XAtiuoYCE4t5aYWqaFEtaCBqTBBqwyZtiySOPTXfrp8zMWG3F7k2AseC46E9PZzBUxq0HxUBINc6o3xKQ1ZfKlCcZk4Exk1X3NhRYoUNS8RZU34lYU2HZNOi8wB8kGzmbeguP2JJqAPW/Dcv7iqgJ6gxsNotgY6cDap/HxhMHjFYi8ngYq0E3a83/Bnor0d1TD1CEVizzjz3BCOM1cC6X/95+C+yd6fmYUen6Ggy+WBM3hB7bfjeAwK12f5nz5Ja1QQkyBxnC/WoIUqw9MLheTzzqc/E4TtXmDUzVHWNPMmxbFfI0gyR2t5P8tUijhPUJD9S4qSrkS8SPPnzPgOf/WWfjX4vwkF1gFmaI21yPPsLnoH7/+QSFvF5dHWwk99M81TczKzHYb1CjBlmxQx1eYBsHuOlP/JS7D36ApqZzY+UMaAfcDp36YHBOS1ZBa3kNVaorTqG185q5DwTUD4Bx0mqYHHH2jJ0ZgfgafjTZQ7MyD2InIT7NUbwtLNEa9AfiNS7B1mJEYgLADnj2PPRObzp9W/CdzzvO5EdznBHfCfm/Qyr+gDzuBA4rjiWa1MxsYF0GYE6NVCyG3Wz8efr+S6KH3gf7DLTfmIdrG1eoVws8cqffhXSD56hm1u6wpg8Z5xTxTYHHFgQbBukI8K2EibnlJU7MU9lvCPAKadkG7V1ydR0MLAnL9+eu0Dw0G3gXQEagNNMfqIeCTsuqhqzZA4uollXoF8Bs2iO337jb+Nd73gXDq4c4HB1iLTIcM+j7sbjHv84PO7DHos777kLy3olYLrqSlR9jSSL0XYd+qZDEReI6GdTpwLIBVyGjgydEdzzJ6WxI0XJNYD8WuA4G1XExjAjUgJv/DKZEJpH25uqqEGZDMaqea2YVcAnn9/pPgQHtMIe6EXeyZY4gGgT5ZkQOw9nqTYMl8jwORUIaVxvNErm2hMwTNCYkheSSmO8z0K4xeNB/mwIxsP553I23FdsbyFQbvu/O+B6PmveCXYusphnhSSTW5lIrDgWsNnKt8ERyY5FqAFvMGNdY9HyngjiGjuejPKkipDUxizXvOAClGyVcZdD9x01yPUtcNxkQLjGTeueTHObMTZ1T5P3bLgLAelM4HiGnB1alArr7L6kq0+2+KxBX/CeuBczUxt9LXgvgxSNsBp+WS6n5xf2ZxY26fIhVJ3jmCDh+q7YIRNrjrErR+uNu3raoU4qYRdkjQu74BpUO8Lpbn0niThu1WtPDo6HWNyKJDwJTaKK72ykNMny0U+ka63DoM0AasOvUtaQV1HW/+7ifPEDyR35r0V70Xtv1b1t3+fkI3CyuPjkn799h2NGoO/7BfbxYe2V8lmH7199TlTH90hLqkglA8INly7tLY0dXPN6qFx7w5KqzwpQGL66XrG36pjWF4MY0w47y+DuOt/HD22v6vP+eXApCFGrOhnkrNRT0zUwKLy2MOb49iaubUhg3NqiOvSUYGHwLb3k1g7nNSv27XTejsCNj0AAxyn/MytzJYzZMlXALBZe6BpVAErG9To4bpqNBo431FB1c1iSsAhuK75y5riSVweupGHqwXi4huk0Ns3QMfBUO3BEzUN2X6TIqhjZCkhKGorm2mPUxGsx+NDmibhBldZySJesShHA8cbBdwPeTwrP3PiIb39zOwK3bgSullU5yjgzrU7TSF4PtQgk8QzKKPdFTwwVcJnw8LwKmp2mI2qgswPPfl4PgDKXnbo8RvmUNTJ0IKCp5do1PJ1hFhIkvaXAPe4XxjzU5eq1pukdPn9ggis7tjhCCbq+PFEN4Ls3e3vqO+b7/tvSWWchYEgIx2dzFLM6rnte4GhyfYTrgcHxow4sNz4/At9wY3T5loDjPr9EtyNAFTRzIuRNht1yF2/8uTfi1S/+IczKBfqqk1QDQbS6rsUi3TQJ4P3TXLBqafKVCry7sn8RRZEiPRfjNb/04yjJbJ8nKK8s8f7//m4892lfi/P9ORlxJlGOpic4uxlCqddl0H2kcSENVbJqH/Whj8CLfvDF+reOnZcM5wTSheovBLZoTqs7wxaJ16E1AQaFlxAiO8Bk+rwSpdDaiDj/JT9kxWeBUiRTqpOL4D2lbgyUGsw9h0K0A1guyRJY5oO3nnQDwtr2zo+JFI/kQlYtzsXn8V3f+FL87q/8Pnbrc0hWERY0Wuxb1D1lRjg1iJiROUx4RRCLoOIK1Qi+3PjUH37TRHWcAc9WSgLlfS0t7LpY4cL/cA6v+tlX477oos5//m7aZ2K5Qx6sBMoIoJkUEK/NmKaO1Ib0ZHh8IcDggzEAiQzJhhIM7Oos+HcDgczTxEDgYOpoM8CLh0E/e4P7viUviTpUzRLz+Qz1qkYeF8iRy2dib34eVy7uI88KK2CKeW3s4KZvUHe1bmOeLbB/ZR/znRmKWYErB/vI0xx7s10sLy4BSi4wZmPHrFiL7tAcltzR9O84gHySIa7tFeERBPk/svkdyAvSIXxEYqkS7CRzNTcz+SarnNG86eq/BU9gck6N72Z3OHZ82QB56Owcc8uYeV/qluhHLzDNtUDOUpeG+Yeo2B38QuRtxXnPojhZxolLsAUOu89RLzZLCojlLSdshbNa+4pIcqGQLU3FoQg3sLEHuaiJZ0hYB8eOwY2NLaUXabxrwhwui0SSjHIX22/UtdGSVEMQN0ZWRsjqCBGrqRxFgoc+qYSrO1NaciBJo4IKJVYgmRV2i9C21cbCHsqmp9eN3eP1f8uKu+yQyNjxd2gMcnYC6ywmDYg5Guc88x9JmrCza4ypVLgYuhCI2YT7cZ8INXnwnOKIsqhJmaVEhbSoipCVjB9ZhIqRMkdTN5CfNSwaZo3OQILj1DqX/rk8Nox48cDx0a0Yp9vzPTYBx9e5Lh5zD2YB3Ox4r3xoRhhTV1RL6R0gI+ufBeEV1QxmB3Eavzk/n35/ckfyhuhc9L7bc5Qevld1mjvLw3fUb+DO+76f4Qoe293fPaO91P7d6rC+N04SxHOgJxOTFcmE5g6u2RZK2UqSQ4uOHcwDY4abplf3rbXGKtXH67bdwEWe8q+EMMYuIwRZo6IZq9Y8LFhNVYtfw/YjtrSw0GdtfwxeBsnTUEZ3oj0PZ4LjPGAoa0OAXNXXuBra4q1dbLuMTnkqnM2P9+SMjB6C40WVm+Z4bYGl58ZK8GjAFOY4wWoyx7n2m/nSTC6zTvp1TAgJjgcGd9D7EzPcR2kAx1XbMVbqtAHCGCy2jiwVNWoQ9YUJjqcExfnNTozegnuFiU6gM1oHGXad9ikyxqsZ2V2mC0qO4fj+W3D8bE7e7VU/MDju5DwLkz3BHtEIMj/zMjeNSrKppD86mlnZC1yuZWBl++sHFuwIjAv4CA1hIb8Wo4+sPXabNaY/GZhZBO+C4aYboRl7PBi0WeJvjNcRMRxOWibGYtNeDW4aU3yS5Pt0mR6VKvhP4pMHmlHXhlA3A1dDd87mCXZgPj/QlV/j308Mjof9eXz/KdSvuGeVItvP8VWf89Wo3l1hVhaYxzNU1VKdO2pG2vBL54gMMTusdEREKOIYB+UlzbOvesFz8Imf88moKUBd9viZH/oXeP1rfg57zQIdTagxQyWhwM2en0AAq+Ii7WJUfYU+i/F3vujv4LP+3mea1nniGh1HSQwqEJl2vnVZGrN4wFzCJbmqwYDBDERbB2lZtFZV2EFAyZC5JB8P4YxntbXQB3DTgJ1IsbgM6dZMZUOBzQpVAbwI12Zz1a6TZ2gWx4iXMdr3pfj6L3selu8qER8QS4oxz3KU9dIBKEo6MN7lN3cj2yhoZjowE29yHuhKKaOhVn8rdhAcrAm5pwdYzvbxCZ/5P+Nrv+PrcDnZx5IC1ZEZ9s0oHUeApzVd8KjqxSilJjZzFrFPp1iDj7sVMEzXfKD6a7wJRPVoCyjOMBnKRh2e6q6gOrJ3tamrVAw/l2g5kbTSTQ7a9NddZJrscWozk9VdrWrreE0opZKgaVvEaaIiYN01qHszMk9o6pnmWF0usSgW5t9S1ehYZCCDlOOqYqvHbOyWlfmm44lhfh+V9tc+f+OsUs4d+Vp4RWeQ1Q+dF5L3MHNFSlJ2lHhQDsVnQ9r5jX/WCUb6+JdOfUKGdWX583GyaENhxa+awKYVYcys0iR6WPRmAcglbGhSSUNUfZu+OPNSWVZRHqM2o03/eJdPCSbALquhQpvpibM4MpD/WSgh+MnitGu0kVRje5o94Ol5O+6y/rdj5GNuZoxtLbooYmB/CyT3mF7kPJM10llE+TjJnEZgGiDSGpnOQTbG5x61sE0WppWHQM/uHILjZJG7LIjumXHKKXZuh6xfxtKrTN8EyUdwvBM4zvyM4DiflWIwye95Nud7j2EI4XuUi1F8xgIp51SXScIlbgiOQ0ArzT9FMNCMtU2y7enl4rI02gtdnoZgOfd7xXrhfDlBAHAzk+U2/N3jwPGwRm40Igl7wiCr6PeppyE5L3b18duwp66knEp0cZHt/E62l/0g7sAbovPRfbfh8DzsL2mL6t3GU8AB8sfgfXja6lL15U1dPypOIV25ngY0aS0zPm64gWihVFkVawPIUzle+xJW5dkMGUzrKjjcn81pYLm3X/uRBN6k48YghC1HoYLfk3TBILKhRtdMZiLK5T1wDPptbFGmhqe1JTkwrmKEsfD4xQ1wC47fxovodr60CThe1AEcN51GJrLWBmzpg4HjDoaofZs64mzXWxk4nvda18GMKoDPMqI6YrjJFUPmON8tgONTSRULesPABTCOraHUCSXgEsuQU2190lE0M87AvjMKuWkFWgtth5pO7dKk5Lph+9loV3Sjgcjt/Ci31/bwG4FQnBU5cXL+hDU7rqCJJMIAwsVi82UHDo6LBGntxtKE9URRYhWDcSRXVmjlHFN1W69By3P9OUibV/JG1larRIkJpsuyrcudTNJn10aato0HBvj0E65leGl71TGpxtQjRIz66xeXH2xm08RqbYMJfEJwfIhfNo+/gskftbDtnPC54PqkeZQjPkjxb3/4F/AvXv4TuAd3Il3xTKgxTwuUDV+32efL2F1c0R5VmqBuayzSDHkR47A/QL0L/Ni//wkBlu1Bh294+rNx5b+8Bwu2oBNMRYHyBOA4T0Qm+0kcIe8idU6tZh2+55X/BB/04Y+wQ8z17BETcJ0icc6uIxs3MPcCSD7VoQ5g4vQ4DH+f/psfmsHQ05jj7KywzzG9XwPIJccnEN0MqoMURQhCrVPDPiQUmQYm+5B821NLiXIsI9yZ3Iu3/ubb8c3P+Bacp2TNfmMaxlxf4ZsiI4pXg8o5oU1jMW7yZVrstc7/rFtQ9V1vU2GFZb6Pw/kVPOtFz8DHffrHo90Flt3KtBDooxllZpTJzk6SVhhP1JHkb1gwoxZ3GATB4D4exk13OUkzUhj0mGkI2mT0ETIGeUsN8rhE5wV5zVdJy5jmM1/YBA3mTQbgxK9RZKYCSBqnqKoa53b3UJYVyuUKe3vnpOfPddW0JoUQZ4mA8aZr0NQt5jS1bYHVcilt8gs7d6BZtigvlljEC0SlaRGzc2LS4DMu+ePA8SOg6tHbHENDzm3Pg6SPMRD1zVdD4LEXZDMDx8N8P7FXxInH3oJcA5atPSTIpA3GmaEba/isdT3yYO7KP63gYoVt5d0EhTnmBDE5v70IFIwXScpSAYhcEbHU7A+TJDd/A9MKt1xTRcDUCm9q0OD4JpTNMHLcsCXp4YzOtnY+jzDg+nkdPBA2W//6JC+KBKtN624dN0vWsNgPQp1saWoTjyBTp4GkfnIaWZIJfeTLwhkSftghHworjGGcTc7xUYHvA0uuWT8pvRjSEBxPBI7nVS4A25jjLeqU5rOdwPGKZCbKmgSPCjUGjiSk4RkG6Rz/AeeVJJHkLUJwnF2GLDAkyOvcxpMjIbiD504jlj1li8Qa9zEzeS0jRYo5rs73LTh+zf3tAfYYW1khj3Z5ID+oGYcRe0tbatCniOsUXQV0Tfe+PM/+42J38WpcwJuiC9H9t2Ir277HrR+BzaLiW38d23e8xgj0fZ/hIj4YB/is1ZXV05uq/qi4j6I0TpTk1vPSD0i2HJlMgTZKOWmz2kjyjLWF2WHOQ5dA2kMXHLcmL9eQ9EBYbAqyxN0BnOA46hhZQ3Dc9BfN2NSYO0pu5PRMIws/ZAQqWKU+tJKzMnhWmffbRXfKI+DgOINGguN5Q+Z4CpQMsMkGSNyQaxQecQxaM5zgc5M7OE4ilsxeKPdjYHoAzWR55p3KFjqzFZB/Mz1Chwds3/AhGQpP6r1jQslCUi5wXFrjZCUx4FdSMRrc2stNI1BtfGwlpNZ4btr9KipR9kUbkq3U7dd2BM7iCKytlaHLwpLuKUBuK8SL1DyPpDEaIWtyZPuZ/mR1KRh8hTU0MCODrMmwQr2dk5/pVL1RM9nD9SDjIO1OFnYJTPDvBCs8QROjMiCG6wnylA2+xjibsCxNUzV4mtzAExwAvyENHFqMp68+dkeY6L2uf9Lm+4fd1+bJdRi7za8g7LibvoPtzQIpE6EsJhdnKKzurWobzLGD+P0Jnv7kpyP68x53xuewSFMclAeIkW+8B/P+d4sCl8or6NMCcRpjtbqCPIpRYoVmB/iKb34OPuVv/0381hvejJd884uxsx9j1uYosEuBjRMxxyUgw/OrazCPElRRhQ/+K4/HC1/2QkTUt+7IFrbkv0usu8nOPW9Vj83kPmDcU21qgWVBi3yYcGvo+oTpN2HbThiBkpMwtW+1cvG/B6zKiSoVmZ8M0jkFvGPRwPHJtzM3AmgeTk3pm1Y9ir6QVjWuRHjbm/4LXvTcF2Pe7iJvC7FVKdpAqIYkRPsK2sDedXIDS/e4X5GxZVKJHVp0u8gxU9xdosTh/DL2dy7h+3/m5Zh90AzRXoJlWyJKrEih2xWYSOCWmtiuR0zZQwHkBqiphj9c9aQZxeMMQ2RNB4qgT0PcjYVAmn8XBKdW8j3piFJSBsdBTMZXFhe5QeGGY3CSl4n8QBAlTlAUM9x///2SWKFOLW+raWrESSxWOEFIzue2MzCac0B/T6hrmyCLrfsIVSzDU3YjtfstCswE1ArDnnYVuYzWUFw47kaOYZAH7NWugcUfY3/zOZrJpL0R402eN1WyQjvj82jMEJA5lTTpuRZOuWs5gOO+A4RYdgqOj8Nia39aTDZTQ04923MJkHP/pWRIAIHZEWGkLJdXcQB9cMQMimSemxME57eAcW5WbqgpvwM31GR8L2A/JjjujPJA2Z/Krg0PyzEBX/uhFqbOlLVJcbOz2eQWbS17ztHTA8OkVjQPNGpuZqIKgOmuU5ucQPL8YIZCrUXTAGq8Dt4jpUCalPIg/PYiP4su3Fspy3Kzl73h7x89pW0vcb+YZawuraIpTPdbxCPKSlbo5x2aOclBNSp2ssgU2Lo45O3kGZi01z0nHPY8/wxKb6b0DRDQSonYyMh9jB2tRqDCCcdKGIUwCzLuvYPGZaYCiTJ09QnzeBh/HX2mNzMaZrljsX6QLZXUmufXKkpS9qamUThl7+L3Jnn8a/Od/NXYw+9Gd0WXH8ZDf9vf+qZR+W1/Yw+lC+z7PsEB7m4P2v99dd/hs7tV97FpmzIaQbxHR2Jq/LFKT9A7GFQxEDSGqEuS+SI2873gh2EM67M5WgOAx8ufGo1NBCSMPGRVfWpykVGvw7np0NEgpMlVubbcxC17PDGRPhfPuZwsFDcJUXAn0TgLNZSIbpfR2ZxBp3zVnkhzfuatg+NVimhl7AqaZnEqm6bwJH7Uf0ToEwLOS/kQ0HisStiGyLnZynTTfWU9CbTkMSTWQVPcArLAnJlorfpnGPDNoN90K9OS4DhbI2NkrnMr1uqwh1hLIBMjsVqUpHZoMjMSJquBrYJK1F2P+ZSfwvbjtyOw0QgcBcen+d2aB0g0ssq4rs2Ai3rjGdJ9GkTTYyAkhxO2tYq1rhE7XGFAmKdIs3O6fS2rG4SMSDLKmDuRZeUGV2KkRewwMW1qGf1yh/C3E2Chqpr9oG1D9h5YYtNgwTpcDIi9+S/TUHX9UH/5cbHIMM7HxCkB4L75T/f99IgW/M2+z8mTy81jh8B0DCAln6dYt6bhYSauBcGaGOnlDK/61lfhLf/u/8FilVOoG7vpDpYqm3ZgAAAgAElEQVQNwdvNrkHTBA2ytMBhS/8bYFHkOFxeQTKLcYgV0nt28Nqf+VF877e/DL/9q7+JnTo3ILfLNPPGU+1mR96PnCxGU5fYyRJcqi/jyV/5+fjcp38uCJ1kKdl1Bt41BMe5Dl36i2eqaSEHwDuA4UYsWSs2rQEIPuMc5e7cKZf3PqyhyX0NpnGD1EEYbev0qtiVmHRik0s/PzDNB41yl1WamFBaJwmBf7ZrZyiiDF3ZoKCWd7+D73vhy/Ebv/AmZKsCRTuz7lG3vjZmO49069gQmHfzQ69XkCRCcJzzbSZwfG4FmbgUML6/exk/9Rs/gf1sX2zuGg3ihAE1ZNyqkqFYtpnN25qarMaIpFSApBCnTHeTyrUv/7PraoHD1C5mDCIMmOaPBNGKGjX9WBJ211a2HwqYN6kHxVCDtMSGg3Cil0VIkgxVVSGhZGZMH4BKf2bsxJAngJm66XhoOxVD9d+UzyAqRs39plFXX4ZcsaOZcGbI28ykK4hF89Z9/+TsiTnXbuDBH01tpuC4GM5k5ctYmp/lJAmyZvkMsgbLdIlu3qCbOdGIOZWCWn78KAVxomHc9MUuq2JBdljzowfBMEChi8qrOgEg12vc5DSwxsUWp3wKpYIoH0L2qEhZ3Je55lzfMJxlktgw+RSS1kxHnFrmLGT36hKXdr6f5zQIllEjpTPcbFMFwgk4rk4RHeExutY/yOOLwaskLKMbmAPXGl5mGJ2b6YrM3ne2zwzgeAB7A6/cwXHPKUgGml8pUDSZzU23y7Ciu3+qGhJ6McgFjBeuoZ3U4P/6xIg/D/bXcbEeYzjuUdqvSvsmk5vPm3OKXTUGjvcjOM5OKUEGBo5bXTR08Nqf45qzTkLmWRmlW2isWyXKvWRyyvVNiRWOG9ebFAFqJ/S1YCMPQXIB5i5/JxzdjdgV9z3MwfGTzJvBj5773eDpxaVKUirJYym6A8kH9VGf/mmcpf9hsZe/Bgv8QXRPdOUkn7197YM/Ah+AbeXBv4mHyyf0fX8Ol/BxB3++/wIc4hOyOM2pqceDtKfUShFLBqTmz/oaEbXp1PJlTti2DTNp4hFm/x2sOs/iGF4PHB9lIoKOpFX2uXGF5IcBck+TToLlbWeO4R54q/WVg5NRG3La4uZGGQENHLTCzuIIbq/5VEcggNVqm0uN8cMK85IthwaisZgzyqsc0RCMGAxVpmU3j0xvM21kchb1jUkT+kLg4T31uOKeYOwGSzRDkSwcCPa7xvBIaQTDQIyM9jIZTQQpASE3bmrihSDcAC+C40pQ52S0u9ae5IhG+pKt31N9AtsP347AiUYgMKTM1M/eymw8jGXGc6Rr6FYfyUwpp4FtFamdOqlStRUHptG4GJjsBpmvQPGbXGYwQgs/8l8h8M2OMOmLSz6tRjpPzWfEwTYzFHRmu4KCQCm80WEYKdxiXrrG6PTVx6/r40PN4/TK/Qge3/KarHEb8JPUpjcFhsPFnSaxgHNOklZi8NLdsNM5YsBfrGfOVm4CM3vtOTR/1uArPuXLsbeaY+ZJdY/shOC4jYRUnb1NXH4T1BSmZmzS4hnPfAZe+6M/LtNBeb6wQBQVaPqOolwDy/BGZ2D4PT79dJ7j4vL9OJfnWGUlnvt934YnfMITcFiupIeeC3yIUDOek1GenYlBuui4zoswf/lv67IER5jjYl6uMxfDa3WsanqaIeT6JA1nZYeaHR0OXAQ5Px3c0ks3jyBJUDhoLiDMTXK13xAwoXABWaVNq+6uolngG5/xAvzh774Ds9UMO/3cpQMbFEWG/fJANpyzfI6oNkmITb4EjqaNtpBz8R0CaXlJ+V6OPzr8//BXP+N/wvNf+jyssqV3XFppPhTv+JnqdHBtVv5JkFWSAYw1KLPSpQLO9cZBAYCXG1j2rhsv1rIPtbrkUkoilujntRnisYONkgZOD2BUY2Zprqm4yQCc9DXBIsInjT2GsXgSAOQwZ0O+E/TnxZRX9w8B2MxYpSQvUEqF3jAE7lxnPOQ1R7WOj3pOHZWxCsXSaZgWAHLNQ2nO94j52dp3gpEzUKUl+r0OVbbS3ymPoTnj0p+nL0fJ9e3mrJOeSd5f2JXErh42eXHljUHOvLqNseh3xOAl2UqEeLL32a3h81qscc3NcX46Tu2GnpT9McCUUuSqNfObZsJiArN4HApkIXYe9fa1I/nynT4j+5H9v5+S15itm619ezPOPHa38m+svoS1ZMV281aw4ITGx4PsjAoFkXKKomR3C9dhj455BHMKsfAdmeBbuoSMPJYyA8mlX591qGhweZJDeCrzNg7WMFbS0/dOIys4+JjybGhjdWZQ1ipa8X5yFCQ6CP3uBFSzKERpyTLjtbshuq7Xi5PEHbyrXyGk9ncjRPFApRwsz3QZ6pIx7vuiFV0yzTVdNq3U4koa56btbzrtkjWaAOPrBbEtOP5AW/gQHxxDohg8h1QUYhOPFcD6MkZMr4c+R1u23KD/KJ1F/2p+x/yf4178YRRFywf63O2/n/4InGRnPP2rfxheQd/35/F+fGxzf/Xs5rD55KZszmdFBsxi1GmLkjrECSuqZPLotLbGYa/Us62Jvsdyk9bXtNfubA3oNACwgMWYseHv4W4MDPekKLTLKmJwbWdRaeyg0O/aKWjMIrHwXDdSQYqDHkPIsV1CZ2vW3EZXO4DjLlvSExxPFGjJ8FJAhzteHwGBuJ47shDIFicrew6xxwWOw8BxecZ7JsNOkaBPq5nPdjA341SuqeDVokOXLx7AcYJ61LpLBnDcTGAYHFL/0MBxjyy9VZ2BII2xOrImFKAxiPX1sybNcBs9j+2lbEfgZkdAZlzhLPFExde1gGjJPvRmstZlKoAR/OE3wXG2xaqbadKyrbSTkgk6sx0YOu66LMfSl9jglFmStrj5Y+hPMtCCAZQXwewVlqJbjLCZ7qTwKtdsPu7yhpNxAN9u7KycguvhFdOfDZ81jPPNPrTx9882OM5zI4DjlcuquK50AMfTGinZuvvAvdG9eNU/fCXe8NO/hnP9AnlfoAkthBsNoeB5vVKFVIVREs+3ogtbjGkQncRopW0eo+o6ZMkcXZ9ITgINGcSbVUittNMhnUWo+3086iM/GN/yqn+M4t4ZDpaH2CkK9Iel1icxecFyqg2ZxhgBGBmyD50Pblh43bFwBDaATjKvHed1AMUDkDm81XFhNn+JLFHX/VZs6YZ7/FMdHzo3zdyajFIDT6wrhKOfxTmqqhRImaYJuqpD1hQ4H92Fb3nWt+Jtb3w7dpodzJocfccRaJFmKfq0x5I61VG+sWeOXUdtxpk9cGd+F8quwhVcweX5ZTz/e5+Pj/nfnihgVACgYmcDxwlU8yt1sgrzEWoTk4krCYoqMcPvCqCkAOe5i+UO+swmFWd7lwFvPvX4cwLhSYU25ze9T7g3mjFqI7kbt7BTzL/Z/NtoyUxfFKRz1mSz/BfWuvkmEj+DNrbt34T74yhRUUSs0jLTuUKgnNIea1u7hnCaw9j+MbCJjwzDWBy6ugBpoKyB45KHYItt2EtY/6LkJ5/7bqvnT9COzzxIXlKOS2fciQdx8zfQWp10GYdrGa7J80CRSLxarbPei8tk886quQoRqjFzy+OYy+crfFtXsupjAYf3WJ7M4jZboUtMT75PjZBl0ioGlMq8Ud0elteOu41f5YScdXWNawKLH9shYSOw6RcviQUm7f+Sr/LP87fUUEV8zqbDLkBX5oTMbey/ZU7aUTJICY13qXJftq5ZjasXwjh/OKe4ng0gt+KvdcFt9nV0zI7GGSb9Y/d1FBxnxzn3WnbS0idKHjIs7vUsFXD/qSUpVOUVmsL8y4LHkyza1bnjkveOMQSZIx2jLUXPqFnN/ZDSUyY5RWNTkaY4SfzWWXhSp25uHmnUGqeRqbrfuU+LATUdI7+n09r7Nntcp/6qq1cLI3TO5V5zO2upoZ+jLxNUVVPGafz2dCd+bXE+/Te4B38cRREDte3XGRiBzXfGM3BzD9VL7Pt+F5fwEeX7y6e3V5rPQhc9UoFz7sxRJshprZ4dNjNKB8lBMgtKLBC1ei/ZHqcZomz+lI5O3muB4zrYHCAPjuIee6KPTNdZ0jPOKhreN2bTuYHhgQ1oVzsdr7M6epuP+/aVt2gEBpkTOtgnYgKIMc622BX18M3pmu2RA0PNgWWB270lzQTEyjnQzmmMVqOJjoLjE000j5CmRiLcB9jeZ+C4wXTU7iSYzsBVjFcawSxpxElWkklBKCkWrmfrx3pljS1YERyfdZJ8YRJgBrYhyDdNSluXt2gst2+zHYHTGIGrwHFTkDTNYO8yonQoRgCDzD6ygJj0SFJFutGCmoezJUhmWLvHkcRmkGoNySjbjq2dll0kZA4FZhWlDATSrxmOmWn3cbImNzeEdo/Xb/9Yg7evWu9iWV3ja3jlMXuEQUMTI9Sbu/DhtzckzQ6vP839SwIAomsbiMrBFQvXmeNMink2CFQpI5zvzuH+t92H53zh12C3WhjLtM+G/sGbH0KXIggAucBxa3lg5MQzapalOKivYIa59GG7NMWybhEluTSVC336ZuAGnz8LwXEBXOruw9Oe8zQ85Rmfi4O4tNbxpkFGVZWeUkI9WiIODsCElngZnBGgOQIT2dw7RnR5bZCC4eekFX5Np3xdU9mKXZOvo2Bk6DghOKZil+kOmyGfmfQJHHeQnONMeZIkj5EUGa4cHmB3Zwfl5RJ3pBeweneFV3zbK/F//9Lv4s74HjMG0y5TI2LcQEkSGWpvlgaaLA3la1L0VYfFYo737P8FqrzGR33SR+G53/k8xBcikXUkBeGSLuZ5ZGCfNHdFkqRuOK+F89eAoIxMyWWPTICQsVRVjWcXnAqCVizg+5hsxRjDEFVT3MF4KCVoRHk3M+ysxcg1QE9Z0CkBRBaDGaLv6ZlTezz2GuZgADHtz9GbwlYACzxkrQpAW6XqPuS5Qq+psZvJCysTPXt+tBmqT4o714vHjiwHnW8kYUgiwuUqey/qkKmf1+hoRJhS1iYYz7qHjaQnbBc/rRDQClnODB5McKdmuOs74kiysp8TDM0PMsXD7AyzgluQTxn3RjunNCMHwlXP3DKu0ReluhyMNWzfAUAdJA/92jRffA8JIK4Y6UcAbpN98ZF1IH8q8+aRuvPjH2iPu86pEAD7EMsTT9BWzh+YHwmvj8UuAocp4x3KgTQEyV1XX6ajVnwITNzgRaCuBlppODjOfaOkhn1eAzN2y/co4+qWguPDOeCTMoDjwgiCn5v/yfgtW+XSlRZoTenJPuVxoz1bYPWchbkKDYtz6pxQyUAPWuC4aPEjaUi+FBw7zqU2QdEVpjHuhIpRpic4uLpxKdcXJbq45mR8SwzIDDhH2ZmwzsOKC8SOmz/5Hy6vWOsUuOqmjTzJ7hxqzRd1gWRF8kuCtsNBl3ZvzS5kr87O4fW4C++OosES+eEyfGf6PjeLis70LT80Lr7v+zmu4LG4hM88uO/wGYerw8dl8wzpPBM4xqplRLA8MmBKjB61lVqLl0zBokiMs9MLT072LK4Gx8c7uaoiHIIKD4ZcZi7YJY3guIJPuy4ryget5nCtHooMYOBZHb2Tjf321bdoBILEAZl0bKEj46eMkNH9fDC9jAEa8HrkJvaIolDLBglGl9K1Ayq278UEx5n4Bua4gdHSRfPLDmkJfyZn7QlznL9r4DhxhQg5wfEqM0d2B8eZwGpL4e/14XMs0auSBtWsReN64wbcGHgT1l1IBk8tM7pFj2/7Ng/nEXDtEzelNZAhGGKOrdA8MSgNIMCiTMQ0IoBBtp8lkAHkNRpRKGSL0RrAcR9mI1A6SCZGkP897Z0xzsSIsio0ZmJiZAl5SDwDY0/gOAEmb7m93lMcwIsjB646ra7bebYOjA+JZ/iwYRM4Pgw9yuIaT+DxDYyNeoKvk2ADI8pwggvY/KWCIDTnTKtWIHhoSR+KH/R4sM6g9lKDRy0eg+969rfjP//qHyBb5mKPj8zpm72WCQDkj9DLNdKd5QxrUOJR5x+J9116n4DYPstwUFfI8rk0lTOCDhuD48ZoWCVLHM4P8LLXfR/u/shHqoWd5qBt3aCIZM0jJp/gIuGRLu3SeTeUy0GIKRtAEQIY7Iji4IWYcRIbeoTodNHpDJwCmTbjje/pr5j8qpiXvKwjy0RAWmRrl+itQHL+N3+ZjFKyywWktYgIEHUVQAuiLMXl/csokhyLqMBevwvcH+NFX/cd+KPfexeSVQb6UqbyFahRNkukUbGxLhHXHvvU0jwBtb8v1fdj585dZHfn+Mbv+SY8+gmPUbGOrPGwTxjwR+a4gXeJG4fLGlhayabPLOCJhmarHgkZ5DSgY85CMNdlIVvqxlOvXeAs45ggm2O6U+yKYWedZKZYOKQ5XUEtbMY3ZpY6NQ+82dl/0t+Xcdsa43Zij6xYjWMyCneNxZqw7lj0pN44iRSFgeIrEixSY5sGfWvOPgddB6KP54OJJtRQCrKpeMMAOce5XZOaoAwICyY0RO0KjjlBQXYzu/zFcFZ6gHmKmu9Xg+Ne1F57sNO55XIfHnoL7D00yQsrWHheLfBzPNPIbDZNcStwqduKpF+OScH83MFxl9ewwvpY/J1ejnWA21cokhwFx/UIh3ENYP9Uy3ryjhsWxoYTWAaEQarKzDatUMKxomypdRUYEYBMa/p8GRlI0iM0CA9GEHbh7oVgBq+y9wrM8Yjg+FJFF8x7gHsftchvIXN8iDGOAccNDghrz4oj6UGKtDRtf+ZvxFUYk0n/O2sMHM8q1Fnt/ip2JpjMjoPjMnX0AjFtJwiOq6DAzsIMcRUDpbSrjYE/9GtBprwcPwHj7BYkIUkSUtyZp34ukznpRQ2bQyfdxR7ar5eskuJcX3Phz6FQAvQlMGsWyOs5+v2I8nEX81n+5uKe5BW4C78Z7UXvfWiP0kPz7rbg+Bl+rn3fZ1ji3u6+7smXL+9/DZruI5MkZSeT2ibVWpgaA8W0y4zhqUDS2TLWFn02d0ibvOO1h4BCCclViXwIKLw9yl/JAjbfwUxLLbie6u4N76n3s4glmDXZf5zV0TvDE/+hdOmB2aE2OwaPGbIqRi6WtkmrKJI+Co63QXewl773kmA0meMFgTEC42x37cTM4lcAxkOyZSmX6cQyqSTB0CRYrDtWkrQCx+npl6GoMiS8ppVJQTC4VZso9xo3/rW1QIf2BpUc2k3mheB4NJF3MiZN0Go9m3vPQ2kKbu9lwxFYSzKsTTxolaqVVeA1295pXmtrm8w+dmBkFVtwc7GEbD2EBCkE4lbIHowCBkzPQDKTS7HOEdMo7uWPIb3/mNzQWqwhxgKhKDWwDj05M5zwgc+vgGEfXamh2yp0nGwyiuOZffyrrx+gauTOaPSyyWitv2YsxYSGe0+8nV1qY9MiSWPUbSW9+0W9g3f+3p/gBV/5QuQHBXICah4L3vwVBdaldwJ5odV4g/bV9C2SOJGkR57luFLvI49maCOaERI82VxWRfFX3KEsVrjrYx6BF/7gtyO+M8IqLlHWFXYWO+gqnoPWd0WmsFaXClKpwNa4Mt1ri+0ogeQNUB4nG9hj63r6p0ZaSbNrJaxN1In4gceNU3B8XOEAFRWOmkyGqFbgbcoz2rSagyyZpJqctd2mNYrdGS4fLgX/75zbQbk6RBZHaA5r7EV7yKs5Xv2SH8Xrf/pXsOgXaJcNZnGMIs3Q1Ef10G98FqihJU9Q9SXKaB/JHpDdneI7fuA7cf5D7kQ/ZxTCzlTGIaNWM2NuSptwX5K4Y99ZxwH9S1xHn8/G2tRTsSYFDlFOgDrafBXlhPQa2zuN4RfkI1mj92fDGofynwYtZQaKHh0Z5GRVUsvdr+/G7/rW/aZICV6QGZTGAyjuOYydDUczHZ9sOl8qB8dznSksgBAkN3DcgzNeso/TOA8t/otoZBom3Brwep37DHNdNQgWJ5zxTLYspULSVqxedi9RTiWcSf6JDoD6594m4HhgaYeur7CTMhhmAUH+P5IESaQrTnltsXjZAaaijUvUhE4ou1m0NM6UITaZvJaTW25OgJx/N4NsSbcMXco+r9cegRcwhmdk+9G1v/xsXCtaHvfbJ4GAQhZhGusmneKGpBwnl5ghC1p7LX+HoLDr4PNqzFMhFPvtLLexNNNytnjIa5d/ZUdqshI43s86GU4yznkwwXGbB4YJrIHjfW+52pUUWZX7vkT3UPZMGXObEidNYI6TRa5KqOVLlI0ZjJ/1s1Dks24OFRNIlHI5FVCGz02EyWAn2VGdf/w0Fv7IFJ9xb7NCoDCfnnmXd0WtdTTZ+WFn2K3bz87kOz2A5nx4/tM/9XeZe/u8rnlGFYgor1RH741j/Mf5nekrsIffie6MLp3Jcdle9AkEp7aDd1uMQN/3MQ5wDw7xSZfff/l57bL9K1mSxUkWo+wrYG4mnTyce+oUKlGg+oFzfEbZqtvifm7mIsaQ0e/FA8sQ603fK/B5pm1pfBWTtLDxickTTi//oQWnIwQfApIxpHj4Juc386y2v3uNEXBwnG3FZHVmTYq8TlAQiF7C5EvIwCCYLMaXJZOxDDAtMWcgtqK23aJHQwOYuLoOOG5z2VPJwaQsI8YW9Otk7uIGQR3UKliUmbHZVwzc2IpOuzN5q+m9Ul6PGC81SoLji95kXmhKE1P/XJZtAyuW9+urdjs1tiNwNkfAAe0ggRLYQCZp7GCWzlwaKyWSJhKzb5kgKzOkXT7ctxnjTmRVQjLjPbEGZHvSpUSbhpuNmKNKDh38CMxMMcodgJoWcHVueYF3Crxc7wEMgMqRPFrguDpOjlai7d1uZH2PUmibTYGjsNHNvstp54YngSacW+i7OX1kgjyPdb/x+SRRhLpZaZ5klDK51OHO6F78gy/6Jvzxm/8E57sFMm7iG3/ZacJOIyaMPENkssmjKY7QFSkOV0vM80IxZ9fUSOMUdd8reafc0ObKw4y9alxOruCpz/tCPPnpfxtlcYgSK0SpyZF1bSd5l7Tr1BavIjEZnshdF9jMpIPGv1QupOdqOtZdQ6masVCl+C8QTMT8s6LY+OXx4KRL62g8Gvw57RmZUd8AkIcJ6VK3Km6pR8zILVZCs7Ut0DzrsGpLLHb2xBSMCVZ3K9TdSjInbdmqO2DeLvCW334bvuWrX4Bz0R6qiysskrkBUBuyR7k1rXrT/432Ktz1Yefx/O9+Hu547J1Izs1w8fAKkoQgEMEgWfcaoMNvabVb1wBzkoGQIvY45w+1x2NpohMYoqYvfRrEJifQRuBNvgwBICfA5kA59049P/oHqbXNZGoSZ4+TZcmuNhbu2Vl7AubpxsvGC0jSHDZYf+gysPccWeSjuk/Ic3x/5fNHLWmGvMnFYOX5EmRVJK8UtHwmEn7mxW4Eooh4noNkHloG2ePrM8jDjXvnAyUcyBBX11JKRrT5XpAYYd1JHnc6c3yYc8Fc9iQDueFrNeI+94O/lJnd2pd1IhiDN0igUQ4tqmMB5Jpjsa1/nYHBzyBcj8DLxszpgxeI5C5cJimc2QEUdx8g6bIf2ZKt92s8u8NHXOuMndQvjh2dMeu1ubbRl5jyZHibjnhMIJsk+JqSIC4Nov3R1moY74Fcxh+w+0O5Rij+WYd7YOGzCCH2bsI8h8Sb0uR6CvdUGXq/N7qDa259U9A4jM4akNz3WnP55UxyGgLz2RnVE8/3uV/QC6p2WSHr4Jf/DDXYfVy0zmX87KQ9EZXYOZNKyz5mzkU5LO13oaDEqWZyWzRe19zKe5dV4Xwz1riUxpVXmoSL7TM2ibbgeNhD1+fN0WLBelFkcsozpmBxZJkj6wrUTYe6bd9ZLPJ/v3tH8SO4F2+JoujKZrNy+6rbYQQ23BVvh0vfXsN0BPrL/d3tfvtpzf3VN/RV/1E9oowaXW3ey7CPbTdsw+SJHjNQdXCtT6zh8Sx+XQ8cP3rgj+2yztHQKcEqrwWlZlrq1VTj8tn/M4g/Ul0cg5Qbix/P4thur/kDNAKeGbPxWOA4deaaFMVhjGQJsROm4Lh10XdIuH49iid7lMzxatGhnjNgIhuvugZzfDpnOesZOAE5mTB6PxrQAuzkU97s4PiMiZczx9OWzPGj4LhJQnSRMcdLguMLoEoqgeMJ229pg6XLJkixBcc/QDNs+zEP1ghcBY67yZjAcWN7siDNA5bgeNEWyAleLFNkZa7WWWtb8gLsGhPdmWGWKyqBFBuIwIO30DIJ6iRbQO1XT3uEVU4AL39Pa9Ue2ekhUzJwzsPANYmRddjYj0tPrWxADcQaAYa1eGSILK/9PrbbbP4VEu6N38QP8pNcwwhc3fx9GFhw86+bpGgO7JHFlGkvZ8zHUTVWPyWxYpT1EtG8Uwt22s0wq87hjT/1O/jR7/oRLA543gRz9pu/FoKbnKKVpKAj5DRb80ScgPn9XYV0MUO7qpB0He6IZ0DHjocEy7YSOL75Fz+5xmqvxgt/8ntw5/94Fw5xSUaM2azAsiwRx5m6p3IyXKWHLLExtlbaHCaaI7uysN5cepAsSOmL2X8bkzFy1qPp5crMs6GkwlSzfCgl+W2tP+BQCOB61VIN6PegJT0ZDV/7a+vEAXLDN3vUXYvZIsdytUSSJ6hRIdsrUMYllv1KeuxNU2Ennamw/ad/8Kf4/he9AhffcQXNxQZFPLP73OBLhHtqnfeX8eF//bH46n/097H7oTtYZRWquEeUmBYz318MacYWKhq6bJu2PnsuzEdYvJCur7o3I/RkmkaZmXTKlI5Sc/Q8IYkgdNUEiRkzLCXwrp1Jn0tWr28yYpB3Jm8gPWxq9BqQGxidGwzBLXjJpBpis9Dec5Dy8ac/kckYIC56CkSNgDaeLSM4Th1sk3gI0PuIjBmIOzAkKDMT4FGXC7Ft0SWGhqrNNW51AMdpDM8xrU1KJW3QZ7y+UNTxE0NrZWQ9yxB64w38ZMMfwFrld25UKmjcUUSBmB2lDs0QUUWHmgMtZGgAACAASURBVGb01HS3Na/6g6TQXI7Tldb4HiaL1Ksoo7Oa847AJeVUaLSrdzDvr3EMAnB5zLlpO5b/vxWXdPa7XOHRVRxk3ux5jv+6fjRvtvb5lgllqVY5mA8QWtA3wXEC5QEQV5wfNNBdNk4ybyYBhsb2YXoHEOwN8mCEjw1UJynIyAYcw7qo0RS1pEokM3WS8zNI1xxTHjgOHA/q7ty7O3ZCVRlm+zxPC+VubNOjsahwFxaHZh3KnGA+zWjZydeYP1MXKx60ewvse5tD0iGnJjs7EjjfSEpqc9fF9FhQzU/8HJ9XWSdJFe1rHCN6Lch52p778CxUDbMCq3nFHB+7nWxVna1XX0thINzFceD48PzLGXYuX9AeUWXLP2wX9U/N70l+Nruw87at8ebZmgfHXe3mO+PZv/eH3B30fX8n3ou/vnxv+fy26v5qlud7VVdZO1dmLVx90ggkp5kfW3PYVhcgYRuQcFA7QLxm6DHqr00r7ic5n07yEEZwfIgnB8bFFBwfgXELNAO4rd+xvnNraxpOWqvkWlvc1Vpt4+tPcvXb1z7cR2CYv2yBtghRB+2MWnPLCMlBZEaYHQNIMgPNrEfGayF5YRIZd1iynY7g+MyYAz1oik3dV18bPrvHPNiSSNm/9GRkRQIRAoOmJlNDzI5I8g8GjpM5HkwEDdTg7/DXdHWerBEcb3bIHIeS9IE5Phh3Gjhuq/G0do+H++zb3v/JR2DMhIPmaDh3TALBE1cHx/MuV0JFNpASH2qVyhnuKEA+gqaUGzAJhU6MM+lKDt8dqqgcWEDkw5oRFs8zT4gHcNwat2X+FkD4SeI0jMUAkF97XQ5Y+hQxP2YwHa6/iph2FC7c9DmY/urJRcNPtAOd8ONPDI6z+CJgJrNiv58P0jPl+DQ9iiLFxeV9mC1mkhNJV3Mslhfw7M99Ng7/34uY1/lg2Do+i6OUCZceWeO0GsjBBJ/nBedxxlZjl6hj99Eyi7BqG2RRjEWcIS5LFEixRI1ZMceq5DllknYjW3YEiMIzDnJFFpX6yRHTfHqJRz3x0fjHP/lS3JdeBHbMjH5/eYBiMUfXEowYwXF2CrILi+C4QAKa4kXUnp5Ip7huu2QAAkjjTMg1ZjkLxJUB5yFytusNDE9bxwGEO1oMEYNc5IsJG12o2oiVsTi9JrsyQbZYH4+TiOZfSFhD78mjr41NHtVI9xIBwHW/QpbGwKpDtiqwSM/jX/2zn8Ov/8Ib8BfvfI+YikGr3goBpq3sXM/Aa3UgbpR3adgVs5fiS575xfjET/84zB6R4iA/wCqhlAZb/zkXyCy12MLhPIHj/HfF4ixaOItaf+r+XG+7C8X7FEk7+rHQi4Ua5Lxuc5uTNpzA8cHwLmgfUy7Of4VYnIAjgpMElAjiUo5OBRKrVAVNbotMRp0Rh9y962Z9x9p4/3A2txEeAiw+eh6tJ+dT4+MxNyP4zDmatzkyArclPWto+OwMe7355J2CDnkfSVJLUgwEK73woy6J8FF+LoUI0gdpvPmwGCM3gmfBYdZY4cGLDgGEC4bQ5uAerulGDJ03PR3WX3ctoCPksRqLwZTTOjooE5JTV5pmi2UMGmnHNWWoKIc2ASqDRMVE7oJ7CsHbuIg1v1gokGG2jEnJ6yWzl22f7HDh93SdmwTU0a/1PN2l2MJ5vjYJbXztbJwytodpPuxX4TOGs9qLbrYcbNSG9xkY4EEXPEO/T0IPC1gEy7nOKZ0ynW+2X1t3m+UIoSBi8ik8t6zwL+1svpFSA+v64P9k5cvXsdDAuZXR7JJa47Zvb/x1BBw/2gEU9oRwPhl4bYVRMsDTMsX8YCYGuXm4kP5Ds2EC4z26eYeKeuOpgeNdAMe9k9BeYzGb3BZkwml7W1yaLw3Zycr//PmqfiXteigOrNNSXRo8/hkfypg9ogn7KFETmOOhIGb7ms+vk4zfxgN/K194dPedzIdrTo2xIBk6dqbkyXHvd6NYFW3tXNQ+yeOiAdIqx05zoaur+r/1e+1rF4+c/STO450RNUS3X2d+BE6ws5z5e39I3kDf97s4wOPri3jm6uLqs5Iaj1AAmvSIZkA771AmpXQZeTznoYJpYiteYebmyYq/HfA8tCzoZMAwagHyRzQDtH87na8wgW/0Cq6e8KFyO73+8d2Gv93sB53OcGw/9QyNwJC2kEnllixMx/POzS+XMYoyV/Ap/ZIAorkpn4I2am/GHaq0UiDGZI9O7i2BA9ecm+pZ2psMP9HfJPugZJJbgBkGKcCThiyTgxz5qkC2IrASy1xQYAbzeIIPSvDJ2jIWFlv8lHTKGIZaewzWjCE0MPQmsP2Nrt0z9Gi3l/owGIHrBU/DmSgZMwPQpFtKBipZjzSqqlLMq7mYVgNCpJKWgQajiVeLPuuHBJu6pWa0bS3gBq4MaewxPCh7GN4LtYaV3GxyeZ1UZO2JX3dN38Kz9KQB7GnvPSe5fktywx24dr0/hYGB2nZI01Ts4ZjirV2EebbA6mKJ3/+V38f/+W0/juxSTjK3zBB3i12sygMkYqB3aDp2/LBlnIAQBVP4e5x3lavkOijgNyL8w6+B76DajxHWtOMHX4uAqzEGTaIEsz7T2VAJQjAQiZ+ftj3yOAf9p/n5NQvDBNyrA6BocSW9D1/8NV+Cp37F5+O+9hKi3USMaZ5FlBbs21afSdkvXpcoEGLrhbLxlEYbgO2RwTvowg5G7iOIKQC5DiZ9cv0U5sAEmuOsf2fR2UH2sUvDz3KRLwgaTQCsMDAD8DhZVgPybkCuPYkAYIXfs6KcYvbQcp8Yg5UosRnKGaicdhl+7nU/i3/3M7+Id7/zPbiQX8CMFe3DCHvZeazKFXIUYqMnRSK5mkOYbE26k+IxT3gMvum7n4/0fIp8N9U5XxGckYawS554d8k07hgkNtzrR8TXCVA8rslYhuBB85lxB1mVEespdS8Gb9YWYvCrgKBHGYztCJgToHdzQ39/gXOMQ6IONdm7uzQHJd3V9lwxWAldcvzIqZb8SyBaG5Fg2i1zKwyBr7dxru8P67uViqaU0lFeFituJLs+Jpgr6Q8CldbxICa+KqY2B9hdJG3wc0DV1ohWkQD1nOPJpddCay5m0YVj48YSVgT2Ao6hhiI/0Ai+VrHBwMuO4Dh9bzzWFLDk+aWtP6ci3XLN8eMyvONzO+1JHBcWFfX81XPj8TClahIkKyCvaHjq57Z03BP0klOZcslszlAXmyQ0Fl9IShMo7rraLFzauT7Zt9c6BMJ1Xn0qHXdO2Qg6Q9ij69HE1QHyARyfFupCwc4KaiqWa0vyYoUPIf1QuE/Y+nNpD1Y8uQZ5XrCjQ1riNNG1DlQ/NsZjyZOckZ1PYp77sXDMOUbaq2ztISXZx2MV3yat/u2db4HhPynyn+QMHwv9wVPCYyV/VuTOkSVunUIpsj6T9wFoEFwyP5tpbMQm5mtYoCMZkbJNWYMqKQdDWg6Olp7LPsm0FOxs8kIWQfGKwHgkeU3q2/NzKN0T4JlKORYLBTQWbtDt1CoUDJ2BQ4egjcpIHliXVXlohOcB5A8L0SbbKFF1zLr3roUQL3eMaVTQ8dqNJMv87KQUlyY0Iw8z3iVBjN5bJLlEUVQu0+q35nfNfiS/MHsD5vjzKFKiu/16CIzASWLzh8DtPzRvoe/7GfbxYdVFfGnz/sMvzLr4Q2Jnn9VFgzLntyXXMopWNT/ogoWgxdrCZVrjB7pVeg0gNxMSMkcDcP7QHMvtXW1H4MEaAR3lPN/FHJeSqFgkTFrFGnBwXAcxAzKLdhQoNY5CkG3AwKhJKjRZhbZo1M7HhK9mefuqzpAQNFnKp6NfzC7TPmXyyDUtjwImXX2OtC6QLfnN64qRKdHxkJShAKWZHBzn5/YFFBw2aa1vSw74fiM4PujnbbnjD9b02r7vgzwCCp4mNGrDpyfrapBKMO3S0CZMAI1amgQyZsuZgu41xmLQE2YSlDHZomSAJ91utkTgITAOr6JmP8j3vX3722gEJvNtPCDCQWHgB6Uq+rZHkeWoSvpRRNjb20P95xW+/ilfj+7dQFQR/EhNR5fCI1mPsj60AydiAkmBFpoh8l+JnpXOrTVwfJMvA887pFGCosv03rVg9wZ1SmmwFllrhtCiyiFBxbWhmLRBVRxidX4fL/mh78Gj/9LjUGWd+V0kjclN8CVdoy4r03YOoJxpjw/LdZOLXzs3ySgzmQCB460B5pJiacy0SyA59wAVISzWNhNKH7vAMOc1BrwroD7D8E6N+uwfA8g/FNrtQNe/MH7nOKgFP+FeYoCdmQH2OvOp4d0dtnj7778db3j9b+A//OtfleH2XnbO7oNdAV2NKqoQL2Jp/f7lj/nL+IIv/QJ89N/4aLxv9W5gBiRpgrYzY80oMSlCdqYOXxMCzbST82gHqhkjhle59rDiE+qMu5axwNtekjZpOTPAyomphmSbB4OK99pLR9+gEHNxTjAuoQwdwVyiIxwTjpcRgiz/WfdrcADNkD5fbqfY+yZw3CSB+Cwp1SDTUj43Fm3M+dSKNYH4FBNsizU+0mCf12hYQCpNwiFvZkjrsXtBDFUCkVpAoThg85xfBMYlFZK3qIsWTWFSDy3jQJIzvABC8F4dTYPRqM2RW987ePxeNP50slt51UPeBBoi0xLkWk2bGFlNEMz+pJ62/RI3FRJSXB5G0kcEdl3/mfIWLnPBc1tGnE44OR7E3RzanZQYfC8I4zsChOEkGNbc0MkycGZH4NmLrWtxOudSZ0Ati1H8psQRcQAWUIZC0dB5s76ZBlDcJOYcfGcBSkByJ9NWmXIG3xTh8YZUau26Tel4og1l38l1b7iBhzf1DrRQCA1FgsB2l7SGiokp8o7FoxQojd2dN6Y3rlJaMErnPst1wLmQ1CajI7Khm256dxD31xQFYhYZOL412eIxkiqWzr38IJhfuUqeFV+4tmTsoQ6Ner4S+P7w/LIiZyhd2oy2eCRkuTYuYY1ZUUr/qkIhf9dk0dSJ7dK6JHKpYOP+A/p3MfoT5JV1f2Z1umqi5neiR8Yvy891v4Wdnb+IolNkiT48J8CDetebRbUP6iVt3/xWjEDf9wUu4YNwqfu86srqS5uy+og4jSN2MZVkneU9onmCVb/SQUTmKFvqFMBEbM8NWtu+5YS2SAfDA1ZHcO5m2We34v6277EdgbM+AiFRk3zPkBSSmU0Q2iRMciYslGKgLmwokF8THKfeozm5q4VThk0hjwtb/WbgeH5YyOyJZqE03xnAcSYMHtCyfVSgOvX28g5NRn1FB8ed6REARQEJD0JqdNbnxPb6z84IPBA4LjjOk0Yx5wYjJuvnlY4umShdMmqGO2Bga4oGe9SRpkazAzaJeI0qbOtNjrbNn53h217prRiBNXA87PFjWE/WeNe2aKoas3yGpq5RrSrs7u5ip1rg33z/v8XrXvbPcSG/S8zRrCMQzrnVCAdqOvY0GcONAHXYtdn6QLs5t3ff6E54EnEu810LFAKN+a60E1PCH7VIBSoTRMglgVehlXRIXEQ4iC/hIz75L+GF3/etOOxKdLMI+/0KvSRaDYygESQTX6slHwOOT3Pnm7wL45cbIzYwJo0dbsC4SCccRmeQi8Frtj+G37JNX54fBl4eqxE8Wos4u9PTfTLoCfA7Iz5cejBlDUxLiTc4k5wIMgEpKQmSjBhHyPMch4eHutad+Y4AwP/2X/8Qb3/b23Hf+9+Pg8ND3HHXHdi7sIfHPv5x+KDHfDCKnQJxGuPK4WXkO5mAZQLjBFl5K0lCA3H72VHJ6mnCGbY6PYKpxMgAZoQRtpb26ThqXLsMEQv2LdmXxvzTtjgMBlmpBnwGAzr+kwEhNkdKsi4LaqdHMk6so0YyGCxGEuug/ORYeLC/BXausDX3erjJqXNLfl1jPJjukd3oLF4vIshQtnZCQoCQ2Dng4DgHjB1InI+SYqlYbOB4WpFMzyWA45K7GGU11bFIzfu4MiPAwnSWqTse9JU572ztWffEII00IZ7fkoE47k2O+ESNCjkjbCbetcxw2a/JdehGr2QFk7FLBj71n8WOdkmFqQgQ43bSWlRYcdkPGW4y/iZYaoUWk1hb32i01ieyHpuMg62lKbi+vrqm/3K1eoaD45wrQfdaL7c9RftYkNoheKtiixmTihzHsVIFjJtZSExsnWm9SQ/dQXBJHnHvsQ4E/mlM9Q4kRYuWfdRQfNCAn8oJBcmhwIIOPiqbjN76a4YOIc9JdJ2+dwpypU54m4HSeJTWgXda0BOK4yQgn7GZfGDc8Jca/F6oDfGaiEjOyCfgmmI2dBLSyJT69vSdIhBvFUZ7xpKccUN2FjiRRfKbKfPlKAt18mE4U+9w3Pxf75Ke3s4IkA+9QFoUrnnvIHvQ79fZ3EWYxTM0yxZR3ZM7LpJB33TvmRX5/1XszF6Dc+nvRBei+8/UwG0v9oZGYAuO39Awnc1f6vs+xSHuxcX208pLy6+qyvqjEUV5RP3BNBJAvsxNE5gNswxk1KqpDtHYNAOluWg6kvypNnu20VG/HDTyY+CwnUZnc4Zsr/o0R+BYcFxahwkr08jEHk+lJUnHcgVKVhwf2kBH5ri113VkjhOczgwcp2LDemD8wOC4GGfKMrnucySslpPhulLFHKkHbBabu7yKJ1pN2gJMlJgwuflQYGEF4yJLKkc19NN8BtvP3o7ApiMwFHomOp1B6iKsMlvjxoA0cNz+FBgWmJBqe19P2tX6Lh0KiVsIDDcGWtD8tfP3pIXpa53cm/PZNh3N7es2GoEBHL8aGNf23PdI40SgeJ5mSBNKrDQGyh4myO+f4Yuf9CVqD08PU+zGO4jaHiWWmOUFyoZCJ5xnrkutSenasSrObHTVA6wjNh1lvSTbMurLNtTO4L+R1EupsahQXMquppKSLrMel+OL+MaX/QN8zN98Ihrq0Wa9QHKC41EaoW1rpPLnGCUFTBd2ZI7rFDrBPViFd5RFMdkNB8gHoNzYuya3YlgQlzv/OyGzPDCRBeA72O5xNw3eQmeIS5PbgMeBtRnezFP+IFnhmrPCYfg/0dH54S2ieJRCIzkxKzKxvS/vX8LOuR3Qp4gBf9PV+s4LguEJDg4OkHAOpSmWyxV2d3dQ1isB4NIFJuhM8DWJJUUgRrLo+yNb9whGOMQmegRB+mTg/XkRUQabzsYXYGRjTDmDaGVs1qhhIYTGn+xo5U3b3AyGd9LVlqSMPXDmOtxPK5ToKLlPcLygTKQZJrIYKdpm3w7FFQPFCbbbHArcw9PiC9pQmOZ/OGME6gjYHDuBNUVlAOsT3Vn1xqDsxIqU0SQ1talZTmawS9VIZsaZ0SHeC5/BnweDU45fk7WoyJSVjJ5N9CC1oUKRT+WRsBFkjDbfQ9YpH/4+x/hATIG0saBh+4DNJYKfxt4VEEwjXo4DvQZUFAyuCKPxJs/iklrSGasLxNlMJiQwiC3uZXHRQNx1VSQrtBiQfJKv8QQPfHEDq8N6sr+GzwmSRmLQcq6oyyXsOt6p4YUAdmqw80W/42MhBi2Lf4ZuOzBulRQB49INJwBue7VAXILGKsx514oa1Z101wYvgqCh7oxxB8enfRl2pyNALgg+7HMbDuG13tPWlQHzwj+Yk5G01ORijMeSLyKQzc3DCm0kJCnvkTEtOypYKGH5N1RErYNQhQWREcnCTyWdQpkoji2L09zDOB/DxAgyT2SMd5LXs7lWJ7U0x0/XUHjDgb8FL1svWvpweaFnONaH5eEGw8PZ4mtkQu7SFsWwm4XYlqbPqTy/uCfw+bQtsa/2j+Mi+aX5HTuvS+9N/yCKoiu34Fa2b3EbjsAW1bwNH8qtvKSeYnNXcCdW+Pj9917+pmbVPHFRLM7zODxsD9Gfi9TCKlaJs8LVRiS2S4KUWpCezLPdhIEjmQEMInkYs8qpFqvt13YEtiNwUyMwgONqTw1hIIMmHswJ8jpHfMi2TgZlxlDQl4PjChX5MzKIKKNCI6y8keY4AzOZ3DhrSqZfFs16iGl/DwDbKKtiyZC5xjMozGU8ki1nSFcMFqiPN4QeAzhOIx3qLbLFti96dAEcd0kVtSgOX9Nuk5OlBjc14Ntf3o7ALRyBKTg+tt+vJ2xkpTFZnQLkQ/suWXUTbV5jCZk9k9a2QBgz0FTi2YfWZE+2nTm66S09UPB37Mo8hpG36edvX3cLRsCRubG0sv6ebdNgVszQdx361tq6Tc0jQt7OsNOeww999w/jl173i7jQnUe2TDCPZqh60xQXK9Kyf2NED23L7hTpHYWb3gk/w/jB1BwPJs08t2iU2cv4LCF0HhWuVdujimusshXiuyO85hdehWW+RDzLgDzGqi+lxyqt2LaesMYNxCYYxrMwgEUBON/o+sWS9JF3E9ygyWzeGjZewchNhSwB9Q7JEBwnQ5XxsxMkWTCz/cHBTYIoAqIMnNOXg4xWF6HGiGkliNDi9xfkK7j96HWSaukQSUPegClxiuNM/P+6LzG/MMOyXaq4veoOEbHIkEW4tH8Zi8VC79E0HRazHXRNj6ahNGOjFvRBHibsWwRjxcodZRCmIHKIRkJIE5jdo8K33WrYK8f9c2TYExynbwOlRHqBS5Q+MJ1tliH5kGV66gNnWuNj/4AYmb3JFNTySenReNdbK039xjsPDORVYYVdtZTBc0NxGY2eUghj08nlSdYMPQ020v/H7EqyycU/gxmzsbptvMgUJzguwK9MXEefOu6831FiwEJIA1I5JyW/N2/VIUjQrqFMDbsHTTtIewwLbSoYudpPkM0J6yZouG+y/gKwGRbFWGCZxKdrUaf9fHxejJ1Nk50McYJglDoje5egpeSQQpFB62o0aSXATr+tigakqXXZiITq+tkCS7myAsDqJa4gNx5modbrJjdvq8OtbP2+dG9WtgnFgAAeq6DjyjChYMT9ifl7kLxRAYoF+8ZkJFQ0kYSqSc1wnIwtHkgxXBRBEoXANzsN7MzgN+cD8kjrS/Kr7l1m7HIrWmYOzmsrC3HOVDf7SPVjHcz212w4ftcE2x0YN+y/U3GWwLhkZUhY4p5TGzjOtcMhkckqtfYLA8ZZNDLzVTdBV/3EWPfEVGycE0QV27NMpog/0++oEG1nnxUcKM9iEnvsSJDUHrt1KGnE4sxabrXhYJzBl9meYtGDZbM+6y0wH45KKwSNPwtrg6/i8+U+RwUqySqpMGH7YdFk6K+02MnmQNtVh/Xyv2Me/fzOI/dehzvxR1EULc/gsG0v+QZH4IHyoxt8m+2v3e4j0N/fX0CNJ7ZX6v+jvFI+KWpwNxnkMs6jBAPBNFY6uQmz1VVMF9McZmDO9lkCeDoEFBA3SvoZXJ2UvXa7j932+rYj8GCMQEgYFHI7m0cBbwuwXa9oCY4nOqjJHJeGpO/YAUwXI42GnpQvIWsnrQ2czswciIYio45nAMcnwbMHGAaOewLgXgO8qJSa42WO9DBHVuYyKTKPEgveBGjw89mOzGAw7/T5cpXXXmESEDK78oA+gIohqXkwxnb7ntsReLBH4MbAcQNohkDe15mxGq3FmAChsU8n0gr8bwGZpsFrzE9LzvXzAZTb/C5D8Hc0CAzJ+lVJ+3GMvM0z+80vfPvKyQjY5DpO9zvkiAmlJbz9nfOpqUlsiFAkc/RliuhihC//9C/FHfV5xJeBXewoURTQrL3bzCbFSHVw3CAYRoWjwudmj8WKsGxaluG73oQlIWOfNvSRVEOzmYHyZ6ukxGFR4ol/66Px3Jd8HZpFjSurA8z2Figpr2I8ZrFi+X5h7QU5jAAS8ZNOAo5r/aqobSzlYDioZD2w1SMHuYO80mAEakCTgKgJo1wkwwGIMjkR0y+3P0eDNU/2B3Cc0DelLpzVPNEzcaLmyFzlxYmRbtrTIpqyMS3rscISyU6CqOiwbA6VDzBPqJoKRVHIuJW69bN8rp+BrFkv7GuvctYqda0Frupz1hnC0/3GwPyri/YDgBlMJIP0TBATV+HewCkyfWlwLH13MVvd4I7jcdQejXioJpJ/JrXHKa+StqhnHboFje4Ys9To+hpUE44FOBrccjuB47beAtSjqoQBQtOGjhBkOnwUwFqOuUoI1NbuctOSJuBHcFz62qY33/QsUvkeIMA7loEuwXHKh9QzxpxuRkmChOSM7IxSYci14IN5pcltjD5VJ5HlDOta9+wM4nX5kvXDafr743kcpFQMHDc2cIaEEiLsTBjUy9xsUfGsyYKQIFbPSUqht49tJkFXm2xfm9eBfSxXL9foHkoXJl+62cbp+6Z3oVk/jAPjoZvE9ohQ1AmFFAPkrShHE1fm8JQp4nOXiavMR50tTZ8JN6Edq0z2/pwX9DWSHj19Bij34Z4G3DfEGOef1GMPMileoNHu00fIJM8SzKTNgyEUIVT8mXTUhYE6tiiywRiO8ZZnIgNbPRSR7PHRjFFSl0N3BQsoPj9aK04JpKbOeEFpS3bWVyIsqQgkaSEHxmnqKA8KjjO1y60IYcW/cMbaczNLYDNTNoNXY45bscG7CcP5vMH9n/WXjOtZf7MdbgKMW2dB2CXDGW1jaz928x836I6iDBHPk8bAcRLUkooPtz2IErw13y1ei934F/FI/FkUyRZ6+/UQHoEtOP4QfrhHb63v+11cxOPr95Z/rzlsnpLGyYey9ZEaVjRToV4cGZ9sBbOA0NgvDKM6thMGloLaEkNj4RjYPoyGcnur2xE48QiEw52pvNrLgzkX46E2RdHNEB1EYo4reWGXRjjWLR4wRphymUb6j5RTod53nxvLoKbueGBsOJBhn+uVdUMc3DAwsDeM5UFwnIkTtcZlyFlmYppYomOJcGD7SWqJn19Qc5wt7ibBFKQgTtG26sTPafsG2xE4bgSm4HgAq9dlVaavGqUXQmuwQDwVo40KOuheOpAWGKIWzvuaM/jD1IwGQG6z53NT4Pg12r9PizW52R0/dF81JoEDaWq4WWqOE6wkSE6ZC87EtpWTMro2xr2z6jYvKAAAIABJREFUO/H9z/uneOO//HXsLXft3BEsCBkxEiEyEJkzJvn/2XsXYNvWtCrsm8+19j6ve2/fRhoFUQM+EAOClpKUsQGtkKhlLNtWYqe0AEu70LIMQqKg0USLxAoBE0momDJpu9oQolbIg4iJGiQqVLDSEAoa0Api6Afd93nOXmu+U2OM75vzX+vsc+85+5x7z95nz3Vr373P3usx5//+xje+MQiJDw7y6lSYVgU9WhvjtdhFoDyOvURXh/eksj7BI8JslF7JrbfWdmVj/XNm7//33m//4pd/nhXPZXZ3d2bVtqIMDA0h/XzK93P0aQGOBXLiQf3pi6JTMzguEGcBbXxmiXpITeMI0akTHhRXShlKtpBfzh6kjzbAExBPqK0t9ibZhlH7HdVbASyHnApBgmDgx6d6EiAWkjiyqzspG5xvzXb7llruu+7Mtrc21HYvNrltbm7spVdf4l5+cuvU9s2e4wm64+iPGZh0tjiXKvSbJ/cCr0iDTWJGCYN/sVBDfyyA+gyOsQ0DCNbhB+AeGZ00ngS4l1vWSgYC7Ey02YQ2cxb1vJ7Ghcz9PlEeo4NPygbJfZCEnAAEGRoHOEOSAmNyBIj3mMmVR5sp9z8bt+G+7DNzcpbN4NHQO3rWDnKw1seMKhrAVHUwmMAQgFE3AqQmt9jPAXgT9PY5CfCz23TW5Z2YwZwPAuljPC/M/9i3BI6n2r4XJVedD47HufYIGCfwuOzBXFXAmu9gNpnbhHsmY1r+PvVUSr8ehRlaKDgmSCSDiSSY8kgK0HRRZvPBfJZWdUwyN/oLlut8HRrDrOy88EBwjrhPMP3LdZsCLvSkkouYaA45Ewd9D+NRJOhwIWSLU1IGmteqCMf6OT94yYJscX9gRYM9DxbzzJwHgAvWvFeMqhp9SezPki/zeSfSl4tpbpylMI5ScPy8dWQ+G12gDVNwfAHkReSJh4w4pTXOKpU9pHfwJfkT5hmhilJK0nKAwW0NuZOOhCEBsZLpIMAOmQ7EUKgYAtGoVSKPayaZzMucVQXvQCNlsMXxHe0NnwBK1Ph1Xnz8XKDRLtFLUnA8BcYXGdFDbErPT9OJ+Megyi7uIxvLOsTZFfsHBTBVkX+qH5sfLG+Wf7X+eSd/x27Yz2VyAV0fz3gLrOD4M97Bx7c3TdOJNfYu+7nh3a9+/NWvLafq87MiLwBmQauYrAlII0ArjYeiJR+NQzeCJh2qfDEHU+AxgqNr1vzr7a4tcHDWBMoV7uiK/yaZeI2lbacTs3tmJYySepTiibFz8MA27eZ9PdhOLmuCgg8c2luytwV2S/fQD+szYIDzm7PSyBzX83DwQmKMh8J9aRWY413NklPF9zrI8XpwOMw6ayHrsumlOQ5wfGaNx/FthcjX4f/stECA44psYmwHk/f+kAUg2fwaaN4iiGYZhgC0BWzPaNjHw3wwy+Y5pz8IdxP778hU4KEbeAXHH7qpLvcTfTwEeJBeLMdInlMnum0a6kDDhBGPfhgtrzc2vTbYC/du2nu+5N+wd/Qv2LY7sYFAUjHrpYaJITYb8LH1hfEXgMzFmkjCQSiWAkAA209yUvkbzo+ysr4XdF4Xpe2HM7tXnln+GRv79u/6z23z8wt7uf2UnZye2jANZDNXlUy2wixO4LcYftKLFjCLx2OD49JJ8ZtfIN65rDuA3mNnyln8wMF/+nvIBC+AcABU4x5VnGK3xu+FNR2Xk6ezOZUtO2Rtq13my7V26q3elta0PcFu/LGsS9u1OzcD7q2bWrv5/E2y8nf9zsqT0jpIqlByQ6Ag2xJGj2TNS3+crR6yKkfLIXPyzsT23tHzZ9kLl35xHXP9UQxTHEBopOiyIGKLSw4E+r0AyEEuoCwGZRtCMXq573m0+nX1AHpZ+TaQYDDVYCiIoQk5yQM268xQfCxk82ITJnkVycqYw/MegcoB9/GjxrifJ2f4NeaqtMbZwmSBw8oTILGqE9FmIKyi2qQo0eYylAwJAvY1ZmkxWlM2NDHlLObbSY5FkuOhv79ovcuccgEgpc9/MRgiwDF8JzDvDPKUMRqJaLFyVa0RcwdjpNpDQgUgZ6FEylhR1hDWORzWXnmASml46JBEFgakkLgAOIz7IZN6kV3xzXyuUJivNQHoORWfxBBKtPrvlyVSamj2jHBjcCYc8XMjOQ/2OdniAH1L90FY1gpUEJHogvtFLMEq8pE6/QTHgzVPzXGMB30hUeniP5rCyf0no3Ge1zOc6UOC3iszoJmCm8tEuCg4HOQ/vFOMSQHOvna5JntttVXUGi8s26PCoFTFCubdCEmVUdrfW4DjPcFxmdIiseYymQDGwRqHPKZXuiARAc1yStU4Sx57GMF5l6ih/0E1mYHsVIRsERJ3bmrKtfxi8+exF6Cn/Aa660iYHpFH/E9zXUZavckO972GRM9cWvL4gtlqh4onrH/DP+vy5vve8env+Mt2Yj+8Gm8+5Q5/mz/+es6qt7mRL9vHTTgJvG7Pm9kv7T7a/dlhP/yaYexu0SQDoBqz45JaaeFmnosfCqfeDBn1DKKOpTTsUM+4guOXrYvX67kCLTADZQxoQp9QB0gcUiGtUvcbs13OQxnYUAhjWMXtTDXx7NwvgMY3OMQjuJtoWiZwXGWvDwLHw0AslVWRJiB0aTdW7ArKqmz6jVhaZEtIq43BA2TzaA7T2UDmOFzbBzLPVCbppxHvE+f2XIEeWi9xbYEHt8D54PgRUH7fy+870nvweMgoPQ79Yg6JmT6HbwqsHgNcOC+0WlJZRxcfIGwK9LlswjpOnlILvAEwHleUwqYpkABgBqTBqi3sxeaO/aU/+a32I3/7h218BUOysNPiprUDqocp2OFvh3AToDlgcQzFx2WOq+y/h0i4wVCRAn58Xwzr/TRamVe2LWprup3t7K71Nwb78vd9hf3uP/KV1t3YkbV3DAQqCXzYArOswAxuPp6siubO0qKOwc+fOqeCff87BnEWttti2gtTyZBQkT6tyz64OZ57arqxZwJ6Ub4lTDoje3ZOeJf8iWaLbp4YOudaSxxwAHMRIJdLJIC5CIAQ8gmseAFA5v3EtphlPRwkjOResCH9cjRuPMEX/gozILW06XHbaplbyudxv5DlALghIBygZkX2K5l/AJ/IAIZ29DnzMyEIKHEiYhCr72BoTnNxYCXS0aapp7Oxmcqk3NXjMH8fb81gTS+l7bwtHSSPBEI6MgXOBiCkigacBzseJ9WGaCd+kSyRjp1IgByOYBpyojqQFOtlfZiroPg+IlPxBOhocwDkbMKohLhAU6TguAgmIa8ScgqqGghJKMrI4HpcTQFEj/IeNNcrVVvwb+4R4MlpqfhM1mXy86EM6Wa0FuMkX9a+WH8O985jsSuXVTmoZrk4YYSJJO8mpRgT9vXsc0IVaxkMYi5QS1zndso00m4spJv8/sMIAG9I4g2I5QB8wRKXySQMN+lHUUPLfEl4LExxBAZRE6d2iAoZMfg1k3rGJct55r6jzKylrwESecgYnRcFxrWSKHmjdgvPNbVjSJzIiFOscdvBI6K0Chr9I/APDBmMjY5jYzpF5Qn82FrGPpQdozSlM8+70rLW1yboizPGg56V91tcwyxJ01u+zVmBi8pcgOMyeXVZIs6fi5//LjDlLudL5uRQrDHLnGKViydYgF8hpwBZqPD/gAQXE88t2P0lSuUgBdbnZfGR/CT/rvrT6g/Zbcqo3LucN79e1VvVAis4/la17BV432ma7thL9suHV8ffv3vl7m+xYfwMsm7qzNqqtwZM0EqaV7lrDNPbxUqW1YqVRP7HFbjb9RLXFrhcLRAapWSdzuD44o6OQ3vl4Hje6EBGsylGcn7wZkDkpn3hCQDvAIDjm4lsbmmP6/A3B0ieSdfhEgFBaI7HQXGiFmo9Chyv7kFvfCN91AmH5Yn+JTho47DWV5109gCOb1WCCj1CI5ssMvWLJtzFQ4LL1Yfr1VzfFkhh7ggE59ZImeTnNpHYdItcxfKkg4AveR8FkULABDB5cPeY4PiDevDcwDNhuh3lvK7vQHiKdz7LqRx11hsd7GcABxVCZW4n2cZOXiut+ORkv+Nf/h12Z7xjz2/eae1ZF4IUs7SE4DWxxwVxLmX8F2kG7V7YQ8Q6BpPbHW4ImnQgzdUb69qGXjjZzdFezl+xP/Vf/Pv2uV/yS+2suMvErOZDMP7Ou5IA6BI/uQAML4iwzDBy8vrDku5DDdRIbMXVHczlxHOA2uIOkoPRC8kDgnauTS5WLpYBsKVxHtCZIIN5KUmHXk0iuq/6yeftYoiofR7yNYRHZxNQnQV8yxZo5GANQXL6EiGRLzmFAQAZSDUAIGbwm8rSZI8Tl3BEa2bWegMsUg+HfZdwAQ80glLJECdbUvpCbGAAu5KegwQd2OPQTgYoiIQ+zi28r0CSZ6kqAdzzHTsACJPJDve6hbY0/JhwfhpICOIYdWY85FWeVvTDmZjooVOGgm27WDKqqQOUXZi3SB5BO5uyGKwoDOPYqAxeqg8OE7NM6Wh8QFoj9MhnHV9/nfsTAGxfmK065wKdnj1oFrOdR14+3gwcJwDmRohMoLjuM4d8P1EeAz46YAETAQ6pjyRpIt1smW6iqgDnW/xMRq+bmkoiaD7mHhB5D5eWkHhamPT3nRseoRXY/5Q3VBWA5kesShKp4toAHXHOCzBkJdVE80f0DbsD+vLJmhHXQC8h9xkDIO7JMciw0iuFVSMee8zG4fHvZZx4hLHIRzl7n+PHx1804LJ++ukqOds86fPGoaxKGJ9rNmO9QNulRpwZ9MFbJNxQXaD6JsY5IAVVvU3bkXrjlLfErpYh2QtJTGmU0/AWUipISmBcQi4L2Wn0Gb2hvNo21tlyJGMcxqbyb5J+u9ZwreuPQ454hKF2aZ+6EK+WBF56HCahk/4HSoqVGVJFboCNuYA1AKQzyAe3g/Vdt8/K7P85uX3jL+d3qu+x5+1jq774pe3+t/TCVnD8LW3ey//mlFl5zX6+vTr+1u719qu6s+6XAfPO6syybWZN0dgEDWPoq7FcCuu6AiRtLoeb4OW/4/UK1xa4HC1wPjgOAFsHM5XhbSxrYJRU6pBFsykd+p1IJZ0613uk3h/YPPVk4xYMF5X4ASBfmOMC5SIATsFxYt/u1o4y7rqvCY5vzjYsLWSADnC8UOAL8zAykKqWXygthDwTmQ7BLmdkvgQEB+WnFwQmLkcPrldx3VvgDRlMi6vcUTMtgR91hRPSncMOSbC9yBYs82aJ3lnTdUFwXLDJ+Y83m5aLFvB6hHyacyDkQUKn+Y36dFnv9RPBZ6AjzWS3hhO71Z3aX/mP/or9vb/xd2141ey56gUbu4BblnEog3bppEpS781Gyxu1kJjjoZM9/zTrqUon/aw/s7zIrDtp7PYvvm3f8t9+m+1O9tZjz8lRvu4PUTjvY43HvS/eABr7jwO4pOBceocxh/mZ931AohFAdnsKrS7AlvZLCmdQ9ozeP7Puu/ZTJsobASzSKweo4wB5vN7L7sWMRhICIAzeUiBmCTYdgGPewDksxBkzc43bBBDDHg/NaVSJUYN8NtOTpSrZrG5YOusxu/REsMB5b8lJ5JAZuvBwD8BHb1clFx3YZxstADnY4wTH+X3Ra4dUUDpUgiQLkF1ziKgVwc+ugknnZD0kDSA7CWB36pm8KVB3T/AQbfqUVoDZ8DGdgckY8j5NpSzYyz4ESWpwX5jof4yzWXrE55LeJqoBknUgMbwL6QsNd/aMA+6LVry0DBRBhq5zWPpepAXT+XcsqzKvAn1mZebEEpcnoodtN0lbm9WQMpmfZcJxnTlAyZEksR664jC5r1FFAcY4BO4xFsQMDhY0I+Ej+aQlERl3mMqEPF7srLUSmsmu30+8VPJUkMrJp1JSKQDGKTdkBMcLAuOqFqB8W+j5xzjmWuGyKZBJAYCN8U/taxltBls8G8OsNgUnncXvNXG680XORpUETuph5UqSXYh16OB7uk6n6+eb7XZvPKoWcDz04qO61vXonTUOqQ1KqrQyz0QMhjUT8Q3A8L7sWC0Lr6cehELgJJS8K62eINXhRrfUGRdLP4BtStogqcUqnoFAOJn5iN9KvF+wxV3O5mD9VGLwcc5/F5l3l+k1oe2/aPwvydiIr2NNk4a+/gNobm1um+HUxma0vm8sK6aPV6f5P6pvVB8s7px8n920T6764pept9/ea3la2/rbe5frp71hC0zTVNo9e4fds1/ffbL7I/u7+y/OM7tVbUoZjiAbikMCNPlgxoGDNbUEobn1OIHR2jFrC1zfFtDmTcEig6YhWTVMPelwVtDAZWMZjGAa/CzzILjLz9J4CF6jhJwlkGK6DDANQvknzGEIjovpooDCwXFqjGP+KrAM/pZ+N1IDtWqhy1hafbaxsqsFOzg4TsLDDI43LCnst9DccykXsiciiRZBW3IQTcokr+8oWO/82W6B4PLpLpfdUqyfACKiDQ5ZlnrFzNwLBubMD/Q59Rjg+MO2/UVB9Id9//V5F2uBBRzXWEnwjfkNF4hxHmUzk7ioSpu6yU6zjWWvTzZ9arDf85u/0t5hL1q1r2VQFdJdXrVAYBaMZi+cf5wqoKQGQmAwg38wISX2S0YrdcJHJntfspfsfX/sffavfdW/bq/lr5nBqIyb4cLKXObZDH/7jS9zaU5IXazZdW0uFXCcYkp1f1N88b4VwFnyMxM3YOJZHiMYwAEw6n4EmruWrRsKZj025ckKgN0i5y5rC2nWLlZD3BKALl6fWdXr+7mPo+abAWonxOBM0VSNg+OZNMt5uAg5BvWNTLnRo4u547Iqxmcn62QaUhx11PIn/QSgmtjaDMYKIA+mbLY3moiTPY4vytKFlAJJ+XyApKk8jwBcaEk3AMg3k/UARmHUCYIBkFUA5GBsU6ZZbfk0HmnCYdlcFJfFBJ8JGEnCaNarJ1O1OzAg1Jw7NIfWWE81tRNQ18HhmbM8d1AkbVNwHO8zN/TMdD4WH3nYtlzmXxA6Et+PYNX2mVX4D1riQ0E9YUiJkD2NSoOxZvVBySOvtNjxC5qNVqM1AD/hoYMxAJDYOsuyQf1PnNZ19ucV5nDSLNUOsfYc3l2a1HzY+47nUeAqKgc4pv0cTykbAP6lTQ3WBCWKgOmXLqtC9iw7NqpLvH8RQwAQz0FwGSyroS3vlRPQ4Hf/IulpL7I+XHPnKreQd4mVEOvPIhuHFlKfA5lXzLOsoYc7mJItfqnzIE9XgeM1/uFb8XD8LCaqIWuJigLKNIGc1MrTADFRAVnZEXMf64PkdihjifZB8mRC4gQJiIqa4gTVwToHMI6kBL0TqI0p2R+vwKBMDZIPeB+QEdneS9VvGHBGk8Ru8Fi56Ydvrsv5zFnnP537MV4y7yuYzUJXX+cWxNY8ysBYta2tb0Dkav7J9nb1P528uP3r9nz5I1mWQVxufVzjFng6u/o1bvDLfOvTy9NzNtovH1+z9/av7n9Hu9t/Zn1ac6FuWU6mBZtGG9JXoWzCCo9f5l5dr+2ytsAxOI4axwXARkCHw9nW8g4HtNKKFmxyuJ4729TNOGcHeEe+aZAE3W+YB21U9gf2OHXCvYRajIMgHagsWaHmwgABq7VCGeGutHoH5vhmZin0zhwHCwUsk65urN92flgEAyIYITj+BYsoDs3QKwUAItbX+lhb4FlugeMRvhDFAxxf7n6WTvFA8JAxmbCm4iWPO38SmZR4yzQgZfx81DmhLcwgLYzfnuUOvMT3RnCcLOGAmO6Hmg7B8RhDpBla3422qTfW7HZ2Z3vb8tcz+/Y/+5fsB/6HH7T63sZOp5tQAnfz2FizASaljMmLnQADYsPVA6whXOJm0FC7BnCEfarICwiF2r38zMZ3mv3F7/w2Kz4jk/nZgD0ztGiPgCkHCVMmd7RTCFA8DndT8+IccMZNr+dhk+C/6VwiTu0XMINoDjCF/IlgSX1GfI/5hyAf+rcM/CnDAtBvZHUXwL+QYSFTEfu7g+REdd2gsKTcyDLJDz0N0oEfjFe/A8hyZDD87qQ5LW9HGvDhu7A6AIoyAwfLUrrdYfidjpkF/XqzkaS1KR3rYcTI1tRImqUkciuaTGxZsMgBEDoLn9UP1FLWPRZhwMgLQOOAtQnmMPyXxAqdoEWO+0X8Q8k4AeOiHLz9DxmnL6Cr8ggOjs9bRYyd+NtczuCJKJc58f1mHtEu87NU/KldZkDeAU0ZPcr5JtWI13hl6kKZkjmZtNQec+gzEXSx9ktn3qw57gJLYoKDYCKjUUgSgsELuR1q0jNRUsrYFf3PtUZg7QQGbwVwfLDWKwd6xL1kiw8GtjSfP0uZpLvk/evBAhov5r3zGeAx9m+27IjrWFj6APyhvZ/1AAORDACAXcjUl4a/i5Sb2j/mo+YpTXZLsZYxdwGOLzrXIT2yJBlD1sdnjU+CZczJ9NWFV5OzhpYcj0cO9OpjfMbqerwixIodi9aTGz+eZXMPg5LmmfB9gpyKNfI1wH8+xCif0m72Nm4Hs0pJBa6FXD4WYB165ZBjobY7E2meNIQ4bZ7RSBptjHa3Tca2h5Y/YyjKrbh8zbxMOywea9Xbv/Rcik9cVo3Dapb5HItNyOVxaLI7YW5gDsBwGMnk3Lqzrt2cbD5ycmf7Hfkd+167bf88y7LdpbjB9SKeagtcbFd6qpe8fvhb2QLTNJ3a6/YL7FPjV+xfO/uaoRt+xZhN2VBnNKfBF8p/YMRJNo/O2etjbYG1BR6xBVJwHNGsdMdVIq4SYTicb6zo4JSuAxZMhKowmMLEI/Ech+4lAkdZHwx1B5gHbftZWmUBx3FAFrMntOsMJZj85AUcBwhfNYWVkFXZbenoHVDZDI6PKo9s68a6LZjjHfXHKeMiqyex/3DNDCacGRjguDPRH7Hp1qevLXCpW+A+QNmv9o33yvRVCR9X0/IcmPowJL1IgzwoNj82vhIodfQJYe53kQ9eX/NEWmABx6Pux+UhkqG0gOMLME5oAXvAkFlV13avu2tVVtrpdGrFS7l93e/5t+3e/3tm9f6EgX7vDGCgKwCeKpdfEFx+sQdeB9IyAPDKATR4WQBIHYHujhNB+E1Z271+Z3eLe/ZFv/XX2td/y9fbp/KP27QdYJ6l/WXeRxwscf3dw2kjlrG0mnXVrhJ2sRvgq8JwWvMjmj0FCueuOMpthc73DNC7p8B98knz1Ft0oPnJ1BkHRht60ao4IzhOEECi7TJZhGGlG3jO2srSeJ+XlwQ31XRfBlFAVek9SlRn0Rgmgx8yKvhyTWKARmCbEmBzRqq0il2Sx7Us5jH6JhFpSIIs7HyNP6nHgLku2QLcfwlApAU4Doag6y7z7CT0Hq/r/S7LQPCiMwDoASCHtEHVs4IWshpghk4wJYVJJ5mvMKZ9OmG0pHKi9iKtZFiMC2NELgzmZWTqnImjoyRTUmkCtXOMt0igqKYjZPf4d4Cx/C/kldwY0pM5E1myAeYFXI55uCQ1Lrp+HLZ6CpBFskhmiNCgp7QFAEqwRTEeeB5VckTHaCQJ6FJJWQtIqQAcBx8EY2A2tMd6M0zgn3KGYIws158A44mMIOfSrNlyeJ1i+F9s/LDdyYZFrKDKCFRMgOEMljwAchBcuCZg/ierHM0kmVzBvHSTR3oLDNS5BgtaRrzoc0kyykPA+9LjDSSKAi3WGSGSM0tbSPkjxhgjjFnDRpVz6fKbtGGceBjfxHMWcFwvi/H16Ev48fiJ+0CbUdJyqKxoSoLj1ArHOhr9jhQZfJZOdjZsehg9MCFIrXFo2/ellSA17Qt+V2IuFIekvc9kCxOHzg6vTHIqlUw+QXLi+3rbzfMRidC5QULu6NHv/6q/ItavZX4d3pGSY9gP4NUFOdLSxtZsbAbkuEDs+GSxLT5849b2LxfvKL7PTu0TWYZGXx9rC9xPClrbZG0BLBqF3bMX7Z59ye6V/R8dm+FXjf34HMoms9qoPUYWeQEve8k1rI+1BdYWeLQWOB8c195MBhQPaBt+ARzP9gs4PvvgBjgehyWyoaCT2Fm/GWw4GawlWJ0yx98IHF8OryWAkwbM8crqfYDjusfzwPEeTL4TN+ZEAm02elrB8UcbGeuzr0wLRGSXBLgpkKS5fPiYY8GZ+ZdEh3NQrdcAWIj3W6osIoAMWOiC8EKA20tebQH3DoA+vxY3AQ69cQKsxVo59jTH6iE4fsiqjc7U6EjkefyCCZiAVVuVti8aBvb53uzm/ob947/5Q/Ydf/Y77LS5ZcVYW0fAGu/RkzW5IeDqShQXbIAUHK8ddIABHLR+ARjAYBKfU+a5vT6e2Xgrsz/8H/5R+5Vf/nl27+Rla/K9VVlN4DcYrtIvVxk/YZQjA1mAcmSkO6T1WOC4MyJTbCvAW857n5Yz3JNMU3H9pd0uM70F9BHKruvU3VA3xJPmLprhQIukSrTK0HTMtbcBBtAMsQMrGqCZJNnEKJXesJLqGhspAz4Fq8is9RtY1i1fmRycj5cH2EYpFRgZul4FpQFmU08A584sJ+jjFWZ+FSETdE4e7j4zcUp9+LhmKh6a52wHJQZQZbcBcxikAoCjAA0JUuECCt5+SBWIUZ4kAL19wRkAQ7SH2ThA8g30l93XBXHPYxhKXnDaHLwslVXSMh4JoNg/1MeErh2HDTCf8hF+38FOXXadkFfxxJNWEErOCCCXFAaAJxm4IlEggHxhcWNcJxUPrFZwh4G3Ehx3vX2AwpTFgJwFtPlRednjTI254XfK/KCkVCiJQeNJ9XFUSmMt0nj0saWshAxJWSF5KAsS+3QCD8/t4k668/s5+nmhoSAtZSS9ML+lrQ+TUSaD3ISTCbJZQkVjQL5CqFN1c91ClZy8d4Di1BWHtjqe4SUVs2GwJ+Ks4H7Q5niexpyA7kWzPs4+MW5mYsysle8muXF93sZBBIjxHGNyWas0UR8XHE/PZiLy6IHESTWANV7bdJZZCWkxSDNhrHOkSypqqDtrbzT8jmS4buWrAAAgAElEQVTgyGp6McyhU14AGG9qq4eaUleYIpyDlO0ZKNPExATavzQyx2dcBdULrGJIK0PceNjl+IKBfvH09IWG3aV5EUe2J1dSSZ84L2NNL61iBQWA8anLbGon7IlTYfXPltvp79TvrP4rK+3D2fOrjMql6dhLciEXS1lekotfL+OtbYHppemOFfa5/SvjV7avNb9z6odfQE1ISG6hjIggOcoqpQ+5mB3dH6w/ECA4zGcnh/W4t3iv4wzzsrVdEBp4axtvffe1Bd6kBWbDEM4dMVekO45f6OCbD7WVOFy1Do53pdVjxTJgp7woyJ2REDDvoDkOE6HB+tPBurJlmR6ZCmGlSxOuMJMK7XOx4CS9In3CEszxs8Lqdsvr0LUJHMejnGRM00F79I3AcQZhzhwnyKKAY2H8rcNlbYEr2AIPAY4/6K4IJnkFhZ6zAOHza2awPGWNBhMv2MLBRlt0M2e23sxMi/f2CTyDGHithxMe3MoQ2Nl3YGNSi1Vg3wQjOsplyqAvQxlwaKEfsLvmpSK5/eUUgJ+CQTavXkeJgbjSA0oul53lXta9/7BNl8Y+bpklyJ5PVAgep9qavmVp+DD1Vme13WhP7earN+zrfu8ft0/+2KcopzVaTlAFewhYovUIYA3j4JDpt6SC4lMOv6dXhXEn5rjZxpmNnbPoCMrg92CtW8/9684vecG+5bu+1fa3d9adnlk77VkiTXBuRqgFyGnsaD9bTpBPmDn+ZuC4D+Djs6/waIHj48ysXeYlmLwCOWeo338OwNJ7mZrXYCBOrqzm4BR5rQ7mkFGaybQTwDjUQECXxf6f6pKzwkuvP1ePPYw5Z3a5JNGgY3yArbthJ4E1AI4E4CSvQgAI6m0FDOjwBV3j1ivmFrhrkZJaRkvM+DBOXNpUa14ch/C+XB+o+ZtbPVVWAhRvM4Hk8G1B0mBwYXQ+X/fAn4LnE9/xVIzAotOZautydSWsbP2s9oCannQuHs7GJ7l+Le+lfjvmsSfmiEkyFE+l54UzqO+rVjhiji+ruUs8uBYP5fjYYcEGdub4/FnBVFf8Fhrxh7JG98MQDwdMJIz2RO+aUkzw7EFCiEmRguZ7SIxAAzr17JlQ2QCPHhjIO2McwDgAcgDFWHsEesJnS3rTsd4Mo4PLB+SwZW/WTnWc9AqGve96rNh0/e83qUA4npeID4qhJisZSbC8g/kmEgKQ9JDcDeUjWFEhI17MxYHVHaoAH1AFAcF9T2QpqTXYkDmZJk2ecb0ICRet3V2p9Sd06mcz19kDwu/fK0ZnY9dIKLjX0TJX3kznLc1gqYXn6ohzDlrnj6P4bWAKS9WE1o0Axzc23YWJaSVJFfo2TNZPMGaF3FJn4y0YciJBorUDfYL2L5rC7Cy37biVpwOOTaMSMRhreQXpmsGavCHhMK8K9k1nndZ09AfXHqxvYaK7tD1lMT1JdWXBca+UYi/OyZfoU62Yi+Gmn5CT84bOqb4yQR5oTirj96oOKYaKBADrcxthFzFO+7KoPnLj5uav2R37Hnve/kmWZffOGTrrr655CzzcHnTNG+k63/40TRt7xT59vDv+tuZu89Vj0/+KwoqyyApKJ7QnHbOd0i7DYVgu9dyP3YQjMnnLAUuHOB3jwJyJ0yl+om188EiWw54HzrEJ+1JJzb81QL7OI/Tq3nsKjivCDEaOR2ozC0xmnGSOwxyzr6mjyQMXz9XOL+V5W2XNCObasrXpFAwHgAsdQXM8pcgdqGaAHgCCgpsImqg3jtJAMG6od15ZOVaSRkkYeZiqwVQHwELd8bJ1A9A4NDuA4QXcUZa7guNXd+yuV/7GLfAwByvhvIehzeFemXyGg8LppyJQpcYo5SE6mvqOzmQTrAYJAQTzpQe1vlYwSYaSXgRjECeWUR2TcdBmBcN0QGIO3wGikWZGkDzAKWhn0ovkpGEJ+ryjk73pQAn25lmTHD/rTDAnxGDSxypWXycYUCc6bY5WRdI97l3MvAAUrmxo+JZMoQeNu4MzUjyJ7Viqst9aJmfzHOt+bfnLueWfzO33/6u/z56zF2xqS5um3MYys7ZvLLPBTiqYjUnzNpIxAVQEKBQGfM4ndeZi7CH6jr1mgzHKUQlQBuAAAF+MvcLarLf9yd7e+4d/t33pv/luy57HZfe27/eW5YeGf3EufKMz4fGJ8bHOj0dYztz+R2/6IJDmwQrxsa8vw2TGqeaJsMhqcCkRmuDzS98JIGSu6U7aqI7YI3STARbuSrIkyYl1+YXZMzEpCJ0Zp44po7No4d04HXLWO1l0iZk0KzBSZMjJc0MOTfKC/Yb1o9s0PKtIsEMxhM7/ASJGcgPgpEzDXUPFmeSCxXV90gDX+cTvHXLAU2lVX1gNBujerITESg/wsDTIfkiSRZ+ZE+gLvR2n2QJAL8TqbOqOknXwcgGICoNGZBnmpILL9TD24bVIXk5zzEfnUULpscZfvOdDrCbpFuLQ7IHny/FKev5eFNFanN7Skb3cSXxWem8xfpdXJCaVb1B59aBbw/iWWTBkKFRBgbFeISnSFVZ1pWU7gORAwLEHqrKCEvnEu9GnMqsfobMNSYtaVdF9DpASmSSdy0MCiXtPAMTsVx9/85lYd6fqleM4VmOaO+Q8ZqCl4ZrsCJrjGSF3FKaNuNeDeBrkldKKXU1GPEBw7NMFjTh13sbemyMRhVGIalLMRDDDwfQuRG5jwgdnhpDVSSR2Ytz6Rd1XwaY5t/Twsv6c12PxPB8/zLT7WvUQY/fwKUefObeq5r0eviPN/gQOKbiBqiYkDDYFMjPpC8yCzJ9MlQZNaVWzsXrcsMICL4G82IBYCtUjXAs6Jv0yJE2gYw/zzn1mm7bk+AvdWeYjkSREIoKSk521eWt225j4Debzoukfa8bhDEqrEuI+n8T68chd8AReoMoLXT2TWS4B5O4jSno6rhRnQMqNzhVSMpPFGtuzRErnTsgMYU+TrA2IZKWNHVb36RU7yf5xdWv7HfXz9v2rjMoT6MRn+C0eJoZ7hm9/vbWHaYEJUdFde9Hu2r9y76W7Xzvu+i+orb6d14Xt8oaHCqvgtDzxQMHgBgC5B8czI8U3LS50PAdkNkG0fAbNFifzOETMNJaEyZCWl6/g+MP04Pqcy9gCEXwsB56lJHXhUeEAh5JoHLpyK3eVbXqYY5JW4FW9bmwZp6QCZlIAxFsbTwYbaabba24iAITBGY6EXnLJTyWDVdEwy9EGBM0lwXge+LqS+o0Exz2yio/jwRsVJGAfbmEA2vLALY3zYLwKkOfnHhjMnMMUuYydtV7T2gKXrAXCcIxziqB4fC2JZ8OcDdM0zlvMcbB/PSCjOR9ABoHiOZiVWGsgP0Bw3LWLCRiRKhxRplhnt7HWdHPVGPb1CLT1TKwrfsx0fQYE7SJaBfNOxosCmGKdCOBk0TTWiWFZT656cPj0h5MnUIjj9TYigsyh/11xn6lfr+2vfcuH7G996Hvtht2xfddZlW+s2tTWNPcQotL/gsZ0BwC5Vx+x572e3EeC2OJpUlaBccWgN2Q2xJbDcButsG4zWPZpZt/6of/Etp+1sVf7l+3k5MT2+53hDJqq/j79Nn17ryCVdOH8OAcpwVxTUspnDACFaSIjcttALq2E+LaSYJCgCPO+Iz3gAMg5xx1EnivY5g+Os72zMWFaySoTVZsAgSJwnOcEIbsTVLV1lgEkofmciDbSOQ42oGa+6JkOTnr1SAbxWAJ6GlOSjPAEnT+H4wtG5gBMAYzTpLO0DAB5VnlUgrdWVQTbicPWjUw9FzeA2Vn1BMYJKkJmpQDzHXUVkqlBZQ1AzPlSHeRfAPLjCqAFNH97R84l+bSHqLw6BinmJIPvBRiLkH3C2kU/hKGwbYO+hrQFKgUqm1xnPjBrmGqCOd1VHZM0I6uhJxtQDU0zRDCiMSm4u3KNm4HxeQzizxgznvjxpIyuL6SS9HqsZLNEkhNhOCOZ3A5QPAV3gy3sSR6MMIla+xfmb2kVwHGMZWffypQ2UpMAF6VtPbmeOM02YbSJ8IHGjx2Z4lfxsbRnoAUh4+N88kSWSsNME9mFfVRdElUPkQShqXEmQlBTWdnWVk+1qubAlC/gqYT53zE5Bo1wHqv8zATzTRCKkIjD+0RGDOMLY4rSPVg0afraW39DVVHX8THvJ1HFwkoWlw3zykbuCe5roUV1IVpxpId3xSyyg+qozPK2oFb8ZtpY347TME0/XW6Kv3v64ul/Yyf2w9lz2cvXsc3Xe374FljB8Ydvq2v/zOnl6Tnb91/QnQ3vbXf9VwzN8AvrckO9LRwUoXPclY0OG35YYfkmJSJ8Y+fBUQdhsUCW0qbDTHscKlIzjmPzksjSX/uuWRvgirZAHAWiJDZYUAfguJUydIHEyb6yuoUeHhihIlBOk5hLMzWJpZMDwfF+09mEUmBoKOJgJsVIMSwckBK4dj44juACBw0e+lZw/IqOsvWyn9UWCEYNGd0pOEY2Wu5MqmBz+xwn282NoyaU/aL0VHILKs2GXILM/YKlySiEpdgqyY6y7LwGkBnsSAcJmPwC0OU6nGCTk1kKFHYkWEZGOatcEI2qrFZMskXWYSmpXTiNCwiQ8g+f1d59q+/L2xwAJoJ1gOM2WW21nYwntt2f2PBzg/2uL3+v3cmeZ8VSv+/IzMLzqrK0sQc4tOgKz3rGC1zp4FEwTgFgBkCh3Q/EXBGPMRYE1GA/gyIA5Lu6094+/zd/vn39X/g6ezl/yfbTzrbVxoqisHYA0/yqcucev3/fDByPRFQKjrN9M0lqQCoNwA7BcSq7SX6FLD4ky2imnVFSQOeLRadcSXKpt6ezcTmVp+aDSHY4C5fVJTLq7GlyObKAAV/4OQw8qfXsADlXMOrFJyx4Z+setqLWurRdALhASgOSEzg3QXs8Qx6or6waN7y/uSQfU8JlpBibYNFz1TleL8BEgqkTk4PjRjIJJAJ5Img20OMZaxmbM3eWDeQtdtyBjz8knol3OAYmFj5wensCjgk9s5swps0qJEEIjiMhUjs4LgBaiTQxuEnggC8PtbY19lANDRATYLKqoYOB7H3mWQ+OC06FSM7EdcVaGH0cULnmTsDWSz2EtO+5X/qeGGOD8jAZwH1PWPnc5EeO2qvBji2hhR2s81nLXbJnBMc5vyBrBElUaP5DYxySbgNNH6/q+vkgcJwjISo4PCmh3jlnn/JkFpJbXOs6AatlWynmgaSKs8YhdcJkCtYsgONs05zmjki4FV2u10DnHn2CCh0w+rG/gamf99blvn5AlnYzWle31lOb6vo9VEHoRC3ONa332v+V5qF/BOa4L57cQ3AOJb6kM4P8JSoruoqySawK6pSYaPv21XxbfLi8UX7npt78XXuX/XSWZWfXr7XXO37UFljB8UdtsWv+/GmaTu01+4zu9e7Lzl7bfXXdVV+IShYCb8yk6rDBLClLlVS2uCxwyPZp2LF8hrHxfGw8p3WXksTrGwJd80H3TN++M7rmHNBSTqfxjiKykkzOYCVUKPdD6bsfqnmYCMclP1ngQCxplcbGk9GmDYI5FK13BMiBSBCIIjvqDcDxRszxFBzn8+PsD3POlTn+TI/Q9eYuZwuQYemsLwDZ0lkM9jWAcQ+6ozQ1kSwjKDlCrumUIBHB8R4buYPjVF1BKbf4vJBHoFQv9YMFbJFRN4o5R454AN5JaTb1kIFLFA6qh2yCl2SLKeqhq4PjQtsCED8E2BT4JovPzGO/nH10ma8KO8DYj5aXhUF5AFqqYFSWU2GbYWNVV1t+r7T/63//Ifvzf/zP2YvVO+y0qxh4lkVlw6AKwYUpeRROTGDUpoCQGOZi7yGy9UQIxzEAAowlAeMAbpFy2RWN3Tu5Z3/mv/zT9ot+7Wfbrt5ZsSmsv9dZUZQCea4xOH4g1yH87eAR4HjMmDh7S/IwsxEgG5LvTmAhWRaMR6iF9PAUETiHL2nqCoRURgt+Iws4PiurzNdBkwLP2vkvp4UNjn7DOkJSL74AUJZI5AdILsM6HG4mIFA8eLihqoOBGGGxJhyky3wN0n1indI9wJgNoP+EKnz4t7Q1y+6Xh+5NCTyXhtQxzOV+YJIns3GC5CeTDTTXE+ud8lbBePexrOtKUgaJlFZI613mdeJpX9uDmePhKYtqBBlBIgGSozKAAKeSP+hzavyjggHjzfdNMHgBjgs01p4GeZZ4Dgb7HJuG0mGMfa92VkIv9qqFvDXPER/2cQ/3xbqsrFiqo1hnFZJAZDbLSJeVXKjqgIY6wD/sz9BUxpgG8oqE06TVmDr/GIMAxSvs2276SPa4V2e4H0DKqXna/fyon+9pEX9ZSHu5RA1/e5iMmHszKpe4WPYQlLMSxr1InJExLnB8Bsax7CB/CNY4QHEkVOqeew8zeq1Zvp9YzUtgHOaPTCBDvgr9qQoqGHBizWB1Qj3ZUE/WwQg7fKYetQGu+PMlC6jKHUrVhCyg1xri76xidDkkESo8scPk1WTj0Fs1opr6xKqmtmJfc45QbT+ffqar2n+0fX77weJO8YN20z6VZQcGAVe8BdfLfytbYAXH38rWfUbfmzIrr9sLfWdfvP/Eq38sa+0Lx3F6EXqVZVVyQ0aGFGYTgzMrYDIRTHFu6lPlxWQ69M6Hh4PAd2GBMND39kw1SCND/Iw29Xpb16AF0rGPnwk1kX2poAq6qzi8wTWd5X57MaCgL0jtQvzHaRQ6vDjMSXe8g9zJZrDR2eNt1opNgoL1XC7sFwHH5/iXOnyrrMo1GKbrLV6yFqDHRwG2L2QsSwZlCKZpUsiybogT9NCtoKiFfLlcvgRs0GFjtq/EHu0nMsdL/B6AWWy41HQmkk7WeAAIWEGAHsFIkYZTXKvOAcgZjOO1CmoYsBfARTOuUZ3LL/lKN7fwki4Pozc9Q2y9w2PrmjS/2MDkKKE0V2YtJAUguTVN7H8AMgALtvlNmjH/iT/wDfazH/5p294tbdMioC2szCvbj41L6ggkXR6HwISGB3oOoAHGFKQAHIiE7V25J3NMJtSQEqtoTLY/3du7vuDT7c994D+w3ck9uzeewfFGJnRg/F53cPxhu35mUrrEimtzd6g6gxyFLDy5BtBnAJUjWDrce4AscvoPKGnGSjXLbYBnEMG8YPvNMs0HY0HI+pzFF6BIlqs8h6A9K01eAeTUQybjVQxXJtGwls1MUAGSI4BBAvs+mlxKgYA64gqvrBOAjudpfYSuMMDx6l5hNdD4kHTKdD2S9AlrA1W6Ut0a7eWSkTQuPJloSggDR4A7PaTsHDynXNWBVJRKJPAf1lKuaF4x87DdeP2elzKv09yPJxtIJEU8CSlAyP+hX1FlqfWrGmvJBfEhtjjY4UxsVKNNNQBjAJeonsEIC0kfZ/weZ5si/zRL97hG/oHWv+9mM8v8vAyuV07NEoOHuvScj6x2wD0JFIe2eAEms5vKco9mlhtLq7y+sGayCpQGuHA0zmQ2yqSAgP8Az5nfmr07ruLIQh+F30nIbUgmbklFLckL4QYOqXPrQYt1TAbXSAYDXD2rrELCDMxxCIW76isSYKiMH+A1AHAc5y4sLiQOFVZg3PUwuC4tzyD1JVLgOIkNzetEcgLrxAbyTDAjRn9IfvI6Pgh+BzgOjX83xlVyUfKePAu4zBf7lVwuT/xgJe1Hq6eNbfsbVuwry85KJD6brMh+atr037P5tPq/s9J+PHtn9vp1bOP1ni/eAis4fvG2u/avnKbplr3S/ZLx7vDb9q+17x124+fkY1GVMGqqM5ZMNvWexoAA6sjw4QEVm7zLQlC0UDp/S2m1M1MSTrm0BHWwVIwcvNqgsV777lgb4Iq2wBuB4wjJqAFOlqdYDTB8AVCOQ53CBT3HcJiLMABZ9dAURBkgAPLNYC2NhjoeknGIAzjOqo4HyaocMcepL+soSOSxVnD8ig689bKvdgsguKOhJeY/QB/sqWDNeCaZrGxqJaigmJqOSIjBPKqwYqht2gMMB7Au4AtrSgBNB43D/VeG2zBJQoCN59VIcifSAAK8fI+mtEow9VTiDbAL+GhewtxxsLZcNE+1niwSKstPi2yDWw8fXNoKjl9sGAuidoY2wZOJ6hYYQQDIoVUwjaXVXW3164V95Ze9x26+vrHT7tRO8pu2H1qONTG3dWajrjT73797VUEAgQLH+QlupweAtbO2OpN2M8clzDlLJnZf2b5sf+Iv/jv2ue/+HLtXvq4q7Mmstq1VZWVN385nwYu1wrP9qvD9ETboQKNXbkrWSJqu8h2Q+S7PG1wHBJbTewBSJCT349+Ss8Baw8kMANgrOlhtctz1Otw77VwVJyqfx6tqGYTSFM8lVQCOk+U6WoY/42eyCsUkl4yTdOnF0ERM4dI8szwPIejZ4DOiBfkvsPSFTM/qnozzQECg1jpmgAPjnAIqsXHTTTDQ5Y+Azxtg6LiF1IIAM/iuUFbSDfbYpg7soC1JQnAwVJU3AoAONGCe7eF4390tsPU5N57q2B9vRvw3WNcZx2poyufQlG8xblFtqaoHz9ty/PV5S63nrkaFwsikBs6+AMZVfBmklMXQMYXkoxpLBBZOKl2JH4Zl3Klrm392EPt4n5L8j2RZlodrjGPsICEFUBys8Rkch2yHDLYl9yNpskhAY66ICY97Q8IJSZuBoDnZ5L4nL3JsV3j8sd2CXCd/gPAtUXs603jGDUL2LQhIkvHCGKnbjVW7jW12WysBkvcuI+W53LZqbay90gASlVgMkUA8QxWvpFdYvedouqfSlioFPB/65EjGUNceu57Y5+k55zpNf62jzrDPME5VCalxqqnFNmVVZJjG+3Sh5wX8USCTVfAcO+4xZ4pPVFX94c2N8r+2m/b99i77WJZl7XVq1/Ven0wLrOD4k2nHa/su0zRVdmYvDq+0v6F7pf+q6V72RflYvFCAQb4xa6q9dVVjba2yGVbTUrDUc7vu9h3gODc37voLQM5tLnXRTkquyWtbo+NrO/6ehRt/M3AccwKMBBhkFk1utjMC5QgKFKT6IYMZpKVFAIDD9IoGMs54wM9t1vDADGNOlmg+ABzHIbx0cDx3zXEWrHk+agXHn4XRt97DVW0B7ZmCi8MQkWaHZITJuSufAGLL9BAstKKvLesAHEBrGLJKDjdT/UBsUK4nrgMNVQTHuqmdeUDaTkGwtBHT/dgNOqNUPfROsyJTZcupGEPz/u7B4iEwfj9T/A1BlavaoW/zdYt0qJHS+ZkK/Y5wVfw6jatsn9mt/ob95D/4cftTX/Mn7YXsBav6UwKMeL4eAYyH5Ba05QP4cb1oyqg4mJmA40jwNOWez5deqwLm/WZvJ5+zsf/sb/yn9mr9snVVaycnp9Y1vY29ZC+K4pix/jY34hX7uOOZlEHuCLIOLiMCM0mCupCpQB9xjZDMTTCuwSxH1wIkpyGrSznNproh8RbrgH9oAMNh6Ikxg+q3yJ8ILo7SeQElYSAIIJOsS8iuwDCRhp1LUmaWdOFnAiEPzWiXceF70zRBDHIDoFpatYcuNaSCBKgyMQNw3A34wGgHOM7EDX4kAVTvg1+0kKoD+WALHeLWurpxIpDAfyUeBbwrkbQAmVjjxCy/nmF4gMiaQkcQYRLjnT/FYjMSY7x2nXGSR3pIW9TMaVCfW8uTTBDLjrFoi0pK+GVADtRZ16Slzg85AnMfdHkOVhS4n8ZSyex3MYPjyxaZ9iuh9rT62e8ZhrLyA/BzPMaVJ6QiKUUwnElD7OEYTw7comqzBCsccbXriTswTnNRguKeVHJgXNe9bNBXOjlDibbFowIJLuEHDvgniYCQOtI5A+NB6Ct2D7C+y31t9X5r2+bUyhburI4rQG4M603VERzPNiIJ9GNvWZtZfbZhdQJlbXwPjHMZLgPtTx8FgOKbkYQlJPpQowCiAaq2rit84QjQfH7wlVtm3A6QY2/CXoS5hHgXiSJWiLCyDUbelY3taO3Q3xvz8Z+W2+pv1c/d+OtVbT+WvZC9esW25/VyL1ELXM9d+RJ1wLNyKdM03bGfs188vjr+9v5sfM/Qjp8LWkm+yQTOYXPB4Rb6Z2S0hTaaWGYqy9QiKFOu+UQ9l2ynAHkcqGaW3LPSkOt9XMsWCHKVJ8xnBgvDPwfHSwRZjcAKmL+whM+z6pw7Kq+Y24+HjGqkxBGqOCitgsCgaK3LOoHjZI7frzmOoI7SLcEcB1N9rAhpONFMx/tVVuVajtf1pp9+C1BjlUlmgC7EKlk8ItBotGKarBzxBZYkDIsKy1uA44j4oF8wWUEkNMIzlAIvCDjXhZBLkA/SDGQJOw0X0JlGF9vy0jiBN/jSFMw1PKErWxtu9/wevyeIPmujhxTHAqPElV7XgPJJjzoxvQEcQbdX8hjjhOBdLEOYXiKpsmk3Vr5W2Af+479q3/udf9tO+lu2te0iwePMYb1bsHbxLgM1dYVHuB6+W23ppJczEG6LhgBtAYkLKLQWvZ2d3LP3fv3vtC/7PV9q0y33y+gmG/rRTm6dWtM0V1wW4En35qO9H1Mf1MP1MZAhUeJAuVeICUhGfQGY5C5JAikegMQ9KtjMSgDoTnghw88ZnEI5FuxDbNvFrFfguJi995GEubbItwjmlzjHjJAjABhYQpJAMhGUizoHXhK44msJ1iCXY8IZCSAa/qsMa6LYuRl0hvtK0nWkjOtsIzkovRev08v8g9xDA8e6tx7g+Kazrt5Lys6lEsQcT8HxkJnCtYdEzfUMw3nXi+HE0otvCIwnkDpfqyRHvS+shrzFXuB4RtkmjdM5qVt01pStdZve2hMHxyGzMskQkVWaWKMAkksTA1Ybbu6ovY4m0/7l1O1Z5ovjMPUOSqYjZ1lUbCxTwvIR+7SShpSPcNNNVWo4exx/8zkluTMlG1HBBcAW4Dj1r1GVBaNHJpAwdzyJhAQYabgOR8pJ18H/q8wcl4kjty8mvTDXQl5FJuBKZnii7MCoV3tdhSQgNOp3lVX7rdXNlkkIz6B6gGIAACAASURBVA1LHxyV71XHKpaigoHqZEM3kKR00srQfCpVQcVU3ESxKSYs6PG0QYWJ2VDDiw3JGHh7iPE+5aGV/mhr9zPxbDfhVP95RY/L/MQckySNZP4Qk9Y4x8JLAB5cvbxHLLeP2Xb6weJ2/Z317fr77Xn7eJZlzTPRRutNPLUWuJ678lNr7mf7g8kiv2fvGO4Nv27/UvP+9tXui27UN19gAAbNvu1EBmtX7m1f7LhR0IIJuqZ+eA0mRYDjKlJbKGrK+sa/43C1DuNne2Q9w3fnUaEY4MoDpUGkF3dSSxjgeInyyg5adybmgoEhI1YS50zKHsc/YSSDAKASQA6GE9gmYG3ic3Agx2cyCPRIVlpwAsdhTJPtc+pzAhxX+bIfsp0Jw/dHQLgd+P4EvVxLb76uJOEVDDId0Q/Z7s9wT6+3trbAE20BlqV2GZNcmueT9Q4IYVZDD5zgVZtbuS8sQ7l5sOpmrVGBUAreBRCAfS5EIQhWYDgKLJAhn0s00NcAQbjY57Oeefoz1iDJkztCBUNuxeZt3lpzsuO6kcGEjybeXmpMNmsAqnpBAGgqbXfU7ZqyLp/IQHKwB+0qI1ftPgBaKIEDtiz+2EM+Z2v5rrI71fP2DV/1jfbj/+gn7NZ4w8oGfyvtZLO1fbO3Gh0JwuYEtXso+IaERuAN1AKQGTuCYmo8uw4uJHKLE9sPe2u3jW0/s7Jv+5vfYrvTM8oEwNy9nGq+p2T6wOa9wuDOE+nEi78JfXJjGrGfki/+O5Ltzrae9bP1b4DINc0CzYgvcsjkApABTlJmQOeLGST3IzsML4U2L3rlMhVP7wcIvBL3LWIFVMFRK1rmnRgTYw4DTPkZidkbJsQCoZkoJGk3ABaw4AG0OIgGIBRawTA5R3Ucvig7pesAw1NmmwJpMiQIyKbXtU6VkXwA43MA5ONJJxAMYx8gWSapK7J9k+TAbGh8jTXHzwfHD2UzaSiLdo9NA8BweLyCNJJveB6uzsD+BYO8sswTbFpgInrsbYSE13awbjNas8GZFdxdjJ/FUHNmcPt5XNLwSiDpeB2AKxXtJWM270FLnBoxKmWNkgg2eOV4LUR8Ktfyp+Em9cVdYxzgHwFDP9eHrGgkfdxUVJrpo1F6301FUXHBpBK/BIwv26S/X7KfXnwFecqv5Hp1Hjge8Yl8NLRFuJxTJMlY1ZFbibnfigQEORVoj3OtcvZyWzU2VGCMT4ZqN1bZwuYF564ms00PKnnuxsKSjAsD4WHqrL5ZWVv01kDKJ9HUpiI5x9Z1B8eVmGJCNQHIRe/QWoBqJswVGifvjUmJeqyszuq2Odv99Pbm5nuLd1QfshP70ZUt/pTn5DP08Suq+Ax15mW5lWmanus/0X+endl72pe631IM5S8p84IBcFvurYXUSr2XW7PjeTEQxRzXofyAUeJHDN/2/LihoHmx87wsLbBex9oCD9ECXuKocX4+OE6vO+qBApxGKZnMXwCMExwfNgSyBR5JN/hAwxKxXwGNOwfHNyj/HQSOU7dNtKpgWumgInCc0i1tZfkDwHEnkQt8X8Hxh+jw9SlrCzy5FiA4DpYTAokiI0jt05mlpwj86jZz0EcSSkYD3iKwbwHQbg5HnCbPbAAw7QC0WOj6Uol5fMmcsydzbfSKrzC9c4YwAKgQ7nUwKTQ58T5YN/b1GStaoMcJfVT4IVB6hYZ9UU12KD2Qss/X5NrFx1OAPehigJxFaC3TeBVSN2A1jmJfIllqpzaeVVbutvZNX/tN9hM/8OP2YvmcbYaKQGmZldYMezvNTq2dWivywtrRJXNm0zGX7XAQlNISWW5FUdkwTtaNgzXWWHtnb3/wm77afs1v/9X0rUECiP8NFQEPyPXRN8MBpIu3wtV+5XEA9ygVFdJ8dcBnZlgqmRHAxJLAdrmlpLqTIDNAZ5at6AuSK9TidSkRJPVJeIEMyzmJLPGn3fcutCriJnBzbuIJzWQmz6ipLMPxEZIYta8XWKFyVCGYTBXdeJDrobN/xT6Ef4skppigQ4LFSqtbGPEVBFiRTKR0Cj9c0kAAGckoJkMebeHjhti6Ew5IPhA4ThNEUH8o1RGApF4TjFaBrteXHBDgOFNy3qDyq7hfhZlVJ9zo8D+dleldNdUEKWuY1APg7CCJgfOw+t27y8a8FTi+ATg+WAvdaBhxIhkbNGHf3YIAQhmdKKo4DxxPqyR8n9T1u5RPoiWut1mAafyMhEkN6cIemv4CxWm26YabqU8jQXnsjxjzNBCFPv9gVsHkWhdKIBzfY+y7sWEMMY21qM6OleMKa167bAqXiVTayRNlBFhDpi0qP/z+sRZQNhJzHuA4vnpJIDHplSPp1dJDYAIwXnmM1mf4gzyfhorsfs5prkdKKlMOyn0S8m3OPuui7+iZIMk7jQd83jWF4Zw5rvhXzH8C5Mxoad1kZVk/chlGpTQTl+yD8bVpsh+9efMU2uL/h2X2M9lnZGdXezdfr/4ytcA1nZWXqQuezWuZpmljO/u07uPdb5nuTe/rd/3nm4038ypjFnYoe2sA2G1wuFQpZ1KTFpJgpJwtwDm3ofnf8a8VHH82x9Azf1cPCY7j8MTMOTXXUAacWY4AtMmt7lEGKHA8TLVmvTwPEGh0RdYVgrfBBsgclTjATQYG11x26IdpscKkcV42lUxAcYhMmONk9OTSq13B8Wd+pK43eAlbIJLH2DrB8lQoAX1SVHoI5CkbSKpAS7dwnw8h3OHdi/ia+2sAUfTcU7kymWeUFUAA7t8dMyLAg6RbCaa3NAjkfbB4IJAxCZalfyHAgU4xECwwShFEgpklLU+YpUF/PMBxbP1I3oXJlpLmYsEpmedwwxHb9BJ21CW9JMTk0FQGALTpARwqTsfveg6MEVX61rWdbbe3rGszG7raTrKbNDL8hq/5OvvZH/4ZK3eZnZRb9vU22xDE7nvYjUVFgic7HAiNZDA7Dmw8ymtU1gydWVVYf9rZL/r1v9D+zLf/KXul/CTPitJuhuRFQXO5fbUjOCR2ZaoVfEkb+y24rAcFbw8LkIsl6+DMzDB1tnVyiJiT94npJhmUkGFxrV3KqQBY4hwH2JdJIxkSJjizDM7WZpLMEWtOYDdf02F+Tr0F41e/DvarjDGBjIrw3VkPMLrEh0Is38FxVtAAoJZ0I58/yUgTwDi1a2E2S/sWyctthprgeLHLrGgyGjyqKiE6ThWu0hVeAG18LMFI6lmDeCDyAbWFIW/h2ugL3h8iMPGbh+2tt2AAPeW3TMHxBRD36oWDawuilJKvQaDCeGNFI/a6JpPcAljjSGx40QNN/koAyt4v9Wh9NRCsRJ+FFrU+Tqnf2TuWRJFE8udAVkWA3pyci2RyYgLJt3RPEElKhba4ZFswTwDOynBTCRuZiEr3Xq/XZVG+BxWflCfF/UAvfSRTOSokUtlRpbd0Ro95lfp5RUV2vOYpD4WLfXwkrQiOR2J+WRWVl/fxhPnPU4fmPtYjkH+KM5AIpOkefak9UAQitDcSEGSN4+zSZIyFQEqiX0c/WQ7tHTdF5ZqEuY9kfw2cQ2A5soOSk5XnAL0MmCBJKw8u1gxX9VVeOKTKZUqv6RDK+HNCwr0kASz8LqYeiXrWIf5/RV3+w3KbfXDz4uYf2i37VJYduNpe1SZZr/sStcAKjl+iznjWLmXCKfJ1e8F2/a8+e7n53f2ufXeRF59dFEWW5xkPKMji47s00ZKyzkm65DpARTGaZ29dWYVwupetPWttt97PNWiBxBxHoJLGucZ1gEB+bAdAjqDOjXnyzsh2qJpaAYEf7ucyzND65JnfzXnKQcFbhdLkgW72CN5ms7wVHL8Gg269xWemBRzQ4tYJySUEFM48Q+JMeroCg8TY9hyaYd5TYZWmZffJlSDQgywSmWkKFKn5O7OjtDYRXCD7LlhQUQEjg2B+9Uq0Ifi0FowfB88AeheZNdnebDvaBLZlCYYVGH4K7KXGJvBTsgTSEY0AE0GsNFifmR59W2+EIEDm4DjAywPmuNhtdZ4THM/K2noYMFY3beoKa1/a283+1L7xD/679vGf+qjtX93bC6fPm52NNMnCPnTjxi17/d7dRfc1ITYIG5isHQG8n1i7J4xodiO39mZj3/yBP293ftENG2+IwY49jhVSY8ZxB+Y4krtMvFxT5t1MGklGzaNBrhRWUUYk1hJnvoaUBL+HAgrBPfzbtemzzFoyVQE6hdSKqkUIPsHPhJrkDpBDo9wNB/W5uHBpZMQ0BohI0P1oJgigRxZQGuP4Aju7qVsCUFmRExyfikwSU2BuFtL8FTMY1S2T1kIk8caMVTK7rLE8z1mmD5CVADmAVgf3xSQN+rm+p+ovlB1ykI6AGiouYLxXTwbJizaDxFzIW0jeZT6jzSzp67mAPRw4fgyMYycDLJkJVN4p+SvWtfaaYOLSkL5A8qSnGaLOvQAsR9kh0rFTpKxUdiTizQDGo1qKTgrJWEVvhvRJqqUf7He9jxLGvGrfx1hNNUzaG2mOrSQy2c+s4JEPULDAIgkN767OvbtGkFtw/UxOQZjK7WxZ9SUpmlQsRpXYiaRKGmdc1Q2U1gDCCJakvOcUQoYGlXDjIPNm6NNPFeUpOVYaJMOUUEnlucA2D5Y+5jDJAQBvkYNzb4IKMRe6ER8Xzq9IkjHGGq1Dsh+JGFQmZIPlfKaqClhkM4Pj13n/8rWQbej1G6x+loRKAY+r1s+O2PeHfjdkw49V2+K7T29u/0er7Sezd2avv62HpvXDrk0LrOD4tenqp3ej0zRtbW/v6l49+7Kzl5uvmvb2K6uxupmDJcSgGBu9DEXoHO5lYeBdhAvYIreyHDhmEPHp3dr6yWsLXLwFHgocXzhHODxXKFPGQRqEhq628gzguJeRBkTO4HUWW+RvcZBmWTJYJ5hzALtgNoPyXwRvbjolzOKNmeMRua7M8Yt3/frKtQUetwVkaj0q6Otrq8Cia1HpIfklBOGSTcnEfKKXlyOg7h0QrFsEf2TRwbzLQW8EiADHqSsOsKl0EzDuz6ElLWZmyowMc22tVzUDHZretbnkoBCYAkDNoTveEBzHmgSWFvwKAAaQ8eWgf7BSyTByhp5YWCs4/vhjSMkRAOM0YPU9SVrNk429NF1Pb9y0l195zU5Ob1Ff+qQ4IZA4vNTbN3/jN9uP/MAPU+93229sOBvsuZPnbL9rXVNcDD59ABh8YmQyyQEGJGGbymyb28/1n7T3vP899pV/7L328d1HrTxVWocl7D6eKedT9jobMrlzPcOY88Bx7vU+KM6FXA9ySWLqkQntLJTgNROIduApNRqcQWo3Ae4ARjOjDwBQX6wgAcABaZUexp3S9mW1W7DIeT5x48PwO+DcFiM9rQYV+OX+v1y/dGeQxAhZJ55bCgHekF2hiSeq5Xi2QeJFJTK4r4glsGpRWoPa6wDuYe4oTxeAYHmbW4VqOQDkLrcQulLyQRbojgdGMKrwKG2FsxXWtM1gTQGDTj9jMRElEJRAKGUfnBj0uBP5Cr4+BcfPl1WBQaabunq1kYBmmCKaGOP3xPwFqDyDzxw/OO/CW6fVGEHCAhXL897iwuUzhCyAPIoXOE68iyM5xFSO+3KwUovJW4HO8lZwUstcIePzgExYAOAC9DPX5+c5noxl17+fWeqa2dyPUf0AJnKlMzuAfvxbslc05RBwG3u7fqWxzr+FSaiSDP7G82hZ9Nav5gBCqixdHyLpKm14KSORbIz5PZW2wXkE0pSoqgPwus8VP1H+SB1ODILJtdGyOrdh6m0YBvYbyAfVWEvODiA3dN6zTiMAcxls8c1kDUx6kYTBiwCOT5Bv0gYr83RlP5ZE2RVs/8e8ZPYc8jvYNajuiUQSSoJQdSQZQMwPaLyP4/TRYlv8UHWj/EB9s/iH9oJ9Isuy9jEvYX352gIPbIHreapcB8Tb3gLTNOX2uj3f75ovbF7tf++0m97dNf1n1dtKoDjAuUql2mRgZHB1VrAetWWxkSwZ8MPDyNt+U+sHri3wOC2QGKI9mDm+AE84OAgcV5BZAxy/G8xxsTl1vhNbhcHn4KdlfpbYmWTS4LDtJaYDjWLC0f0IHIfmOBgWblQlYz4/R66yKo/T++tr1xZ4rBYg89dGBn3bbmvVrrRyD/1MAQVglQEcwr4K9QQGIIjVepPOKdFlTGfNfQWFk00lkAf8PPh+jD1ZSWsGnV6yHTrkCuT5/0W91QOdckQwWlLmBeA41xKygAt+NsHwzWATKsjK1tqqtYFs9AQcB9CGGwgQwkuY8ZyVOX7xIRSMSPVc+vA9h0oSuTVNQ6Clrmrqg7dgkk/Im9S2gYHZvcz+5gf/hn3w2/+qPZ8/Z7fz23b28s5ubm9b2wIJchZjgJPQGSdmM1pxUtjd/Rl+Y/uytd/4u95t7//Tf8g+Pn3UTt95Ys1uZwWqpsBCtozjnXsVEj5zmdXF2+Aqv/Ii4Pj9eYR0FEQViWthO2v8cHT4SGFCDFImBbFqAnSxAgA0zLQGQcJA1W7O9AXTHyA5ZVboIqxEPk2Al3F3AI47aEg4meeP5BoAhPuBhKX5WM+oSy7pRpxzUIkC6cZZfiI63fUzeO3jJMkFmBiDSdporaq6ysoeiZlEYsUN/qTNDlYo2PKSraKhcQXWqPTH203DNQ1mfFyvCIxDog5GnQDHFedcx0eA435odWDamdz6pSqe6BktUBz/BXUfMiqbe2D8o3JSSGgY/cJIdcih/95Zh8TrdrQOZ15Hulkx5Z8h5rjGXsiMRHomBca1ji1fAmUjURPAuZ/BHfjE3kyZs14eIGC48wv3Q6RdLHiC3IkkC8YW1znExtiHsYcDFMe4nsljMomd5yfuifJq+s75mCS5lh06HW2RDruKI1Dm4WLnq8IF33WWCeNUjSMy8sfS6h7zGZJzAsjJTKaLph6zKTEKEHLJqfRjzyQxkrOQlkSf0k8T8xcMcfikwFQBfQWD1M1EE04Y9TL5Bb3zOdkSiQ9fva9pYtd7xX1lIBuqJBEluTyJCop923RNXdU/VZ1W3729VX+3be0j2XPZy1dxtK7XfLVaYAXHr1Z/XfmrnabpxF61dzWvNV+xf615X92Vn5eb3SQrjYcA10em8YgzyBLQL3TTwkjwUDPuyjfPegPXqQXeEBwX246Bk59/qZk5odwMASeM9morX99Y2deu3bkkksCEkoBs0Eik76kyU8mqoMy038rk5zxwHIwKsNNpyLmC49dpZK73eiVaQCxLgM+bXW31rrRtW5OZTcZUOVizaV0DV0kzsCJhOlc3Ds5A8xv7LkGlyUbIqMBYiizxqChxwIIBnoJQBTeCI2ZQwU3JIpkNcAzBZAa23B6asDAfq60i2KQ3aDedjVuUvQ8sGQfTkpVkSIwHcxxl0Cs4/sRHJBncrjPe09BNfbrIe2XWjZNtT05saFuzvrdsAJN8tPrGxrp2sE15auO9yW5nt+wTP/Fx+4Y/8PW2+/jOTu2GjfvMqnzj4HiMGQDjDo5nI803Md7yTWm/+Av/BfuGb/0G617oKK1yr3vdTrKt9jsmRgByAh7HOMT4TYChJ946l/8NnwQ4ns5nMRljZsf3AA2PwCNncxP8YzGK5BzQO2Rsoo9cZxmmnGSRB1OWpp3IvwGE1t8kQaH1RZ8sxisXgZnzqrNMAH9zJi6wZT4VSTwk9Xobio5gFeQoyLYFy5MguVdITKNVZNy6zjoSehmAfFS6eBXOGQC1WgadGPrORkWGkQAmTDfdKNZpxUxEwvARwPhws6OhbFsCQIOBrJiq5VDzPkcAaCs4niRGFnB8JkEh50FpMH2huaD1XOxzO91tuZ8AJKXuvI8BCOoAHJ9OR2uxrwAcxz6H/hsnq2imqfGU7l+scJmFcxL2uJcMIIkXALmnQmZZFr2PBhcBW5q/wugxgNhCbHeYbzLZsjhciwimL+zHYLiDtCJw3JPWNEoWQx1VCphzAY7HvNXaHXMECWaPCWZPgYgRYl75dVz+5e6cKwQ4HkbBS9qCLeMSrXNVCxJSYH0j2dVCPskTFlgUwrMC8RYPHSglQbVdbuMoPzR8lxyTjxt4LuBzgFdQDx4yShP17GkUTFm6nv4tIhX4/ufEJcRnrDg4x3z2SnbFRS46KjVGeDxI1goJLybCmWgcPzVm04dP7pz8leJ28fftOftYlmXNRT5qfc3aAo/aAis4/qgttj7/sVtg1iJv7Ffe/dnX/lA55F8y5tNnUtsLexUOBATJR+t8gwlWLEvnXJeKoVFoJR4E5sGDSsszj4f6IVfqsW9qfYO1BR61BY5lVRRT8jGXaAK0os6mg1thKDMJHM9eryipwLLjGdjwA7pO0aot5PD3EmMEjwC/6tGGE2j+dzyIkzlKnX8cAksGHThMZig9hFwDQCq63PiNkviSWW+9jSVArsG6k8HaEjqbCh51XZiHh6Zp0imeKaeP2nLr89cWeCZa4M0OYOkutTzX/QmoTSqWI0wRN21pmx5amGBlQ5e5sz0M66C3Cn1mMDkBWO4L2zYAqEfr6oaJMgSDU5kZJFshDx5MccoRzIsS2JVeTo41IstVsiy9grk/pKAh3XEATTDny8DEBODUlwQMyLzKzZrTvQ0nvQLLoqPMCs3s4DlCnVCAoM6Ed9kPMUBl5BeSGg9sx0fZ5uc3edCLjj7lzd47aZNzB6uvjQ8zkN/so+I9zm8H50gevYmYj+rdDokR78bYa7gTVKXtm8ZqmBaWhQ37vVV1YfuhYSlCnlc2NZndtFPL72V2mt+y//kD323/y3//PfaJf/5Jyed4YiNAd3wmznAAD7pNY2fDmf3qX/fF9o3f/E3W3m5tf7K3dttaP3aUtSgJXojdifMgdzQeFBO28bIlLc05328yNg8ae4FiD3+9VGs9sF3nI2Zs2Ok7PGg0nvf7h+3Z+0fJo6wdy+RceOACxtO2cdSYT17ePeQmFtkI1YiQ0Q+Wnx8xFrbmIlEhLNn9BwBwhuY4NJehK7uvBJpT2gfnDuDbqgjRkd4nfXgLUZMcb+pr4CIbvTQQzhbU/+4kI4dYgl+S1dDaJh3hQro8UnhhUzize6it7jeW3c0oF0SNYSkMCTwDUxRgJTSGIPmBJCB9EfT3rpysKRuz2wBnAY638nDwihqNXzwX4znM6I7a3f+ZjkbPOyS9c3UtF3xVmudx3ElqEqlKRd9LkGSZSjJL0eyQDzvZb8gIJoztZtFUFMfaAsmuU7MO7HEQQSivI1kd8IWZ2E2Y39IK19he5IWSmeDG1wGoa5oc9o6qm5eqCSRCyBQnSzkXAIgNNhjDLDgAkKqKaYxVMMQj/mUFBNnHGCU+r+a8kbTFl1VMaOMioKK5rdhZX0vbRnXI1QbHwzOBTgC8T686i0oAriuIW8AYL62EZjgA2NCoz2If0VojcDyznB4GZn0zKMnnsRWHC9YnnH1gKF7uyRQfa5ydJNM0WmcZK3GRjFFMBRWWSD6GMTAul8mOhzkAvEXPedAect81+ROPf79ImsVfEoM4Db55L4nP0rHI40yc7ygT6l+oJBoIgP/0aOPfu/Vptz5oN+xH7ba9vJpuvkWDYH3bc1vgzc5Xa7OtLfCWtcA0Taf2mv385qXmK9rXd+8rrPhlRVbcRMDNAHljLIdroR1H7S4YME082IDJoXJMlESx7o6bERgDccjhYTfDwUn6huHQ7bWZs1zLW3aD6xuvLfBmLRAr8NGZQseH5fC9HCzEOMAfUf5b9Sdkduf7iWWbMJwJ/bw4EuPgmKF0mALEIpOPBQxxe5u2I0tPEUSCQY6AEq9jCeIAHeNa+puNmx4hIJYWg47b1CjGsb21ruqtvT1ZC+Mgay3PJyu8BHqglmjCSgzg6BqXFb7Z0Fj//my3gOZ0mE7PM3y+aU0NgcB8ICjj7EMZPxFNy9uNlR3mKkp+sT8qKAMxcTjJrNmM1hIQAuiUWdkiqWZW7eFtB1YlEtEoH1YwiAQ12Uxeuq3PV+ATjM2ZWYx1hOhFbMGQSpDWML5gxGct8B9pR2JNAbjBhWMwa/LGhhd728Nc0atkBHovElFi4S0Prjl+PWoXQQPn4dDHh9sAlvRu/tcZ3EjDvgUkOXiuULn5Yg7f/zhsdBOvaBwHXtIRrQSClJoP3tRL4tnlYyByjiElf2Ozp+AmFbRcWGDeT8KEbblntYOvx6xeCpJBCgTp7rCy85WRfA2QxeNejUXoyGfSZ+5yu1ndsv5ub//3D37YPvKjP2n/5/f9A/tn//RnrMhKG9reyqy0F5573rLTyd7xObfsN/22L7Xf8O7faOVJaa/sXrGszizf5tZ2nRUZ9IUD2HHtcu8/4Wapmd6SIE56eE7uBBt5abPcMry/t38KjmnvTbrlAESO3/MKYgQuL0gAgYM3OWBA+6Tx9kzHxaP8/NDgxgPe9FBU4cHh4Ax9pG3iCXvOvQCjfLDE82OsOZ91SWZ58iyHmSL0ZWHUS01fjKMAEIFOORJI8NMPENQ5j3EZbPcZ/5unrDTtB9eeBnt8sAlflUT2Kb/Cv9PdSCR1aoJDe7y0eqxt01WW7zOzBlIwGi+QwGD9xAjmeQj1H85hrLeUh4TB8GaQ3ALkPRDLUEpFY7rwKgqxV910OGEzx9zUOFMykPIRPnxmnexHGTSX6LkuApIg/NLQiX2AmuPMQxTUesZex0QrvgYYLNZafzgGcWODNVlnLWRtNqPZFgkRyFvIGJFrWqx5sbD5ZBdT3clXvukusiqeRHGAmUfwDMQQMMmV3JHOvqo6oV+P/W8465kM1ldBIFBlWrje3nrIiJWenK4yr+oUIM5xGWauB5tXMubn/UUL1vkzeNmbYo2bh8AVPn+Tyc3Eq5L5qnQTOM654h5NiJMwbiDtxnGD6jmsMZTo8fUFa4vvK9oel5acpBt1WLViZm3R2O7GmbV1S/kVEAykAuRjmFJTiZb9/AmH/fe0wPE4f56/HPjOkHhU6OyV7n0MJCVllKGCBpUMEXXGyVZyRP3oYwAAIABJREFUU5ycrABBYoFHTc6JujuxqdFayn6cho+N+fSjp7e2H6jubP++3bGPZhlc29fH2gJvbwus4Pjb297rpx21wDRNBbTIbdd/wd1P3v19/W78l6qs+qyiKnKw3VqwWpFNr2UqyMAYTNo40CzIAUsq02AepXZRBqesrbLsYsy4icmcd1+7Zm2Bq9UCYB+V/YYMmmqf0yCNDCfqDXsKiJWbo2UjDi8KIKcstzHPrUe55qa3oYI2Iw7qnSRWTOW/ADsAjhcofd4HOA79X705AS2AbqzNFzi+v2Myo5k6yzPoIevQ07s+eQR1M5p1hQ/nV2u0rFd72VogBccXBk5UO0VQFYwoBRehiwtAAEmrcndCDU0aPlGCSWAQTKH6jVlTgm2LyF0BeQnwCZIGnUquwXAEhg09chh3LuA0yokZzRyE3wrB9UAQiLJhgOYltHrB7EMJeQfjzZyMcQShAJtCDm2uOjGzpmqseQ4642mlbICdx4yqY8BaVyLzvjcHx1NsQdd/HBomIepcjbaMGIbbM+i5vEMYFyZvuTDtGSSnrXUYBqN5FVomgfj956MHDluC67PKru4p/ffhGSm562TNFbh2wfCcMW9m4zAQ+K7L2vZ39wQsbm1v2tlrO7uxvSGde7Bp7032ykuv2snmxG4+tyGL82zzCiuOaI449NQ4rzc1GXxNK9BhSYgsQHiA13gek66hvUviXxLWhKxAco/4q0MdyO7OCRa9Z6p7raYXQLa00TKW8IcwZDxkyTlMH6mFIyLGMiaC0XnZ1qa343pYyQKqC+VWciuwXkCXGQxbguZIvASz1dvM0UoeQRyIEVlA53vP/89rFpL38Fqh1ApAaZgMQwIB7HHKOLrZMNa+AMXIBBeABpAcjF9wGQnkg7mMMeMYkEz2NA/SR0i3UDaF8ctAY0gwyLtS5ywsyCWXWDdQJ5MZzHhdy5y04n1qnAWjfs5JHhisvh299qQ/I8gesQo6u5lEp1Fm0lgnAYSPG1Yw5jtVMqK6EclAgm5oHkppDNbkne03vY3byUYYcead5ViE3CsD7doTs3OGOOd3yHOIdBWG9kuvsqSB++PCwM6tR/VWVrK6hYArzKa7zPJWRrQc15Ti0HVyn/dEG5MnkD2Dx0bpRrKUU5HEqCQ50kRxrCqejE52mifdK1fh/TAXKMmE+ALSJkwoCByPv4ngIzkVAuM0BsZ5SZUDBpmwkOQJs1UnH0U+m/sFAPIw+cQv8syaam9nt+7SU4AMfv/i2ShJpl7WtrwIOB5NEzso9k9B38JefBX1tVn4CxNO1BTPGDtiCbZuZJKiHrZMGLVjs2vH/p8WJ8X/eufFm3/dNuWP2x17ZWWLX9bR8+xf1wqOP/t9fCXu0LXIP715tflNzSvNv5X19nllVjxXIqh393mUxu1Rel3KCRpAQDkOIIHYRPd3Z4hnKJZE4LwwEIJ5ASYryzd5ps3Eol1nwZUYI+tFHrYAQAiwIqDTBmAcIDkYEgoapGc4Q1uUZhEkIIJUTpMqAOIIECdIrKD0tOzIwKBZGoLDbmNlA6M/fI70znHwjPJMFm9wMj0AHOehkr5bPD6t4Pg6itcWcNDNIRwGFw5YhhHdDFqmciUwsQOcBPY1y8qhNX7CgI+sOGyE1NYdpH1ZTda6iSbeTwEjgnUZ4mEOt266qeqrpex6KcVeekugYAotC7MhxIVE3Vha3oLNnpkBIAAwgMCITqB6735SqTEImACLuhsyq9PDV6tghh8PlPtY3oxSvZT86MlzZUra1ofPUZuLrZl+flzrsnqmB4RUHgqhXyI7c1+iPVFQ9rdIYWgE0Lkz1uYriCck2rHz2JgZjmoqnGPATpR2rhcGHT1HTbp8eNp7IVtxyB5++NlJuK7MrOtlurndbGzoBuvb3k5PTsj63u32BCHKspyvsaoq7k93m7tW3ylt1+9sGAbLcNbDGBl7G9A25ZLkncdj+CK6pM40LBr4/AAAXiHBweGJ5M0Ces/AOIAMYtuacSn0nTaZv6VYgw+q7pqb7PAguVQ2pImX5bM0ny6YmHj4brq0zwQcOhuxAZB00054JgA4wfcAFrG8zSB4ANGUNek0vD1xRbA0fSB5E0aH1Bb3hB9+D6p6LdNhguiUk0LCX/IKE9ZLSkOJqQzmaQXNaFbCaDwvg+L+vidDmYC8G4MCIEeFHs5ZJCEMTGoGY1nsca1JwdKcz1nBhqUk0eGKddVH0NyvsQpznRcYjdlC7wrsLx3OoGDy56pohDwXxgLBce1fAJURH7YbAM9g7GO/Ab9bXgl4oF9A4FYlY6wfUXEjqG9Obh0k17C2xHKKVsehFgkTGKxKwxrjFuB41sJEOLMqq9280Y2sAbB7YofjbqNrjqotev+E9I+bXx+uTgGML3vWVe//iy5QcZ5RfCG5JCQUMA7m5BZ0xpHU2iNpj3ipZMItKgQMjGWPlUYQeGLv8HmGI5X0lvz8grUBa0WZWb/prD09s65oz70F7O+zP8JFb/Itft390McxZK7RdXxCUmypKkMtgy7pw3VYlTkymNX8IosfZKt+w0QFYtZpMGvHduin/qN5lX14e2v7oe3t7ffb8/bxVVv8Le749e3ftAVWWPBNm2h9wtvVAtQiN3u+/1j/q7pXu/fkTfbleTt9DooZEYSBDddsetvXne3Bds0aq3DwYdkTNP8qm8BSo9SKWHCUW8HBiGU/kHlImRorOP529e36OU++BRA0SL5AJjNkRrQ6ANLAbkYCZDoVDxGdXDMPJaco6wThnIYy0B/vKGOEAw/NqPaV1TuB5Pg8vO2sTw6QgeA4dB27+5njLqtCpk4Kjs9wxLoFPfmRsb7jVWgBxdliHqbKoQGMpwA12WyQRXFzO8hYwFhzu98SiAZzyjbGYBvgy1BCdxU1IGLlCh/0snEWtQJQh0kZ9E6h7+1USC8DnoFhYQ4OF4jlHGBtGASD+YPryaGnitLlHmABTJUEOKjCRKwuSApM1FWVr0jP6wzh4IS5+yBWXAKQC1Q5ZF6r3+NellFw7ioT4HhavZKUBaegRCrhcsidR4XM/axhVakF21ygVzC5GUw6wBfBJQNpXnq8TnIN8T5qc2fG8vYCAHCJnZk9j+csAW2y7C/89CTBccyKPp43b8SA4zhlyQEIeEpwlEXJz+mGzvq+t5s3b1jTNWSFlzUkv8y6vuNzq7q2toc+a255WVgBaR8yeGVETYNHN0skn9tL1vGRSvM6uB3o0Gw6J8M6zh9/jUBGvShGByDIAkZrM3c+gAE3yvOhFDJm3jPJsEiBtIR/n3zGokkclQ+HLXyeHNBVWLuexDWytV2/l2bBYMG4aWcGUzYgmB0k3gBGi3UI9iHZ0+hIGuhhLAUFAOxNB8dnYoCAZrHKj4AeIO4wJ3c2OTWDCVyj2gagqlZOgp+oiEGF3i632r0T5OWSZkyWVWYGt7nuwZMFFXoDmcwkIeD3NPWU1EesZWmybs6TJWuS1vHD1n8WwNGYY94YArLR/iAzmYA17i+Q92vcJHUqiVvGOKKcGBLDSLpuR4Lj8LFA5QDAcVX5SE4KpCjC2wca3T6SZgbxwgBmu9Ns0/sqQHtcF3SSewDiNgOwSlqKsMUKK/xHo1gww1HCJZB1qjNKmUXSRudqfGnfDgkxX7rmRPCcML3Gho6SVdGcEzCOihCdpyjDM8D8FMa6SNgvBpyo/GD7cYj52gGppkJ4AEeJ52YoVec7BnThQSag/cAmo1xSX+1o/Mqt4komOo9PRum/U4PkowNZgOM4O/LucxT0O/aiRYqUCJIXVVWBODVvK8tAsupKnExf6jftj4zV8Ldv3j7936pN9ZHs+eyVJ7G3rO+xtsDjtsCKTDxuC66vf+ItME3T1l6xnze8Zr+h+dTZ+4u++GWZ2XOwlh9w6NkOti9ba/O9ZaUfjsGmo+u9DLzCSZzqgDyABsMrAhpoTR5nSZ/4raxvuLbAW9YCOhyKVcNSQbLHUQaMElSAFNJrdDKSDttzICYAAiwbHNhhQAPQSvIqLfWAccCBKSdY45uzUyubykqKF8O0D5w8BB2Fg0MtjY92tzPJqkBzHLIqDwTH37JmWd94bYEr0QIBdEQOKwXuQt6EQXFoUw8CCcDQBiZUwpCs2XCOYx4PJ2b9CaRSeumswhgKEkkAXt2YF4ljwoF5QfBntNZLxRXcCbPVvkjGt5eCq5wfK4rKz0UOUgCadQKxAF4IGAebbgEYEbRCexdAOALKAWw+APj0CWFYqf5KAv03BHwSVriqxY6PsY7o+yg4/Gv6zgDMjpjjwYRStLuMIwdMlqsV855MPzd5I0w/A3iqsIHcDNdp15kNYI9gnWXWuSwIUJ7Q310C90wBZ7T9LBsho2XcV+GGbArME3DOr935kOfMB3/uEdH2+IlvFPBTegASPZXGSdd2ZMJjLxlACyOzd7CqLmWmOQCoEoMSj6qoLQOTbyrIHCcQDtCpVOIGqZ0Sr3Xmr7o6kaoB6AX2pb9f5DqkQy6D0WC3xb/1CZJiAWBWTADNwhAxOQ8GSOKTcpa+STTw58oDUVB5TymgmWqYp2Obz5v9N668LsaF11olBkNTXzxyUGgFXrkcU0hTgEWOShQk4QaBYpQW4euTtnd5FHXbkpxi/7lCVbrkcDzhLENpC61NkIejgWM5WkfGttY0gOP1rrB6n1ndItYopDM8z7ujlYYfL6AT6zGAW2iPg4QgPXKBt5KKTOVFjms5jqji5zE5L9wLT/mF0WRHVRlKSwjorCC9Q7mu0vKdvkMug3rTPuEIQCMJAWb+ZrRu01tfj9bBQwfrhDPEtdeKIcw9zuezkhleaezscm0BWlcpVxX7sCdkWYXVSD6F1Q4u2UEg36UHcX2oRqBMSjVQUgcJbHpqUfJH+4iYySHZssiDHoyEqCaKLF9c81Puwqf18ehBgeNiMGu9V28hOUGSEKppAY6D0Q/fE64tvueHYh36G8A4fQI8aQIpH+QwuFWp6gB92GB92IA1blwroLc0Icl1BIxH8vtyA+ZauwIHOV51IikQ62W60mmvk6wYDUdZgS+ZO84WVrWhkjmzeix5bgWJY2jNhj7b21T8s6Ec/sHJOzbftXm++CG7YZ/KMhjLrY+1BS5HC6zg+OXoh/UqjlqALPLX7Hm7Z79ivGu/tb3X/vau6z57yIc625hlW2OAjaBbAWpo9cWhBzrLoxUo4eaWGSV1OhiJL+RWWM8C9WIdQdeuBXQ4lA6x4SDY4zAIR3YYnSC4BGjhAX/IZHpQjmoLHMbBhBDJHPJFk/V1Rx3Epj4jeE4wbl/b5u6Jlbua5aMEx8GCyqBNLnA8m1qaIO1uu+b4Co5fu/G43vCjtcAxOO6Y8xykR+TPYANyRr1MyRDkIdAomsxOu4oYbgNA58SsO0XCC5Uf0PHujHbULiWGiTtaYQOqRjLslwAf+kM9ZYAFlJzApzr7zUEBgUsOmAMywjU1KB8Xy1MMTzDGHa/iAqWSZ2jt0vgXpe6bwTqCQtijI+RaNuGH244jpAudDW/7+USbvsv5P6u97w/50n4R4hlvmh6XxUCcCMYJrI5kJeQhFgkbZ7vCNM6/XJ6Tbw2jYjHCD5nj0r2V5luw9WcCaQIkQYkkwcT5nmBNx+PNyroTnOXRBm8wWIXjyAMaCRiXiRmGzoptZUPXEeyGVApA8aquyBLvutb6FvvLhgbrqFwi1Ww0o0oLzJyrzHoazB7K/cyyKdSSRlbGwVH3NGSfuFYvfyajcDHvjMoMgB4ZsjqzEL6AFgFlcwsu7ZI0lsaIkiECztPXeRo69NzPMX0VOB6A6CM3/TPxAp7LSVwBA1xzUXxDCvGwbVUpA78TVKZAsgLa35kkWAheRXbHx7yPv3RuCwwLOYojBmSAq2T1ClwlQI41CuA4fY7Eagd7vNoXVu5haqz1j/pQ8xpyTqLDjYaHDOA43n9EkasYxOVgDSr1cmePpyzmI0Zz2uEPtz5ejSFyULQTl+xroeYYWKdgmsLHQuQPEjZA/pj7HjMZ4GWn5Cv6bov+61kBiX2GRoCeZDwABP0ClDxL1proyjDBdqNWas5zfZfxpp31JKIAqKcRNZN9riGIMe3GrAOAegD3MAql5BnkU8wGN7bXGuQJAdeYn0W55vU8XS/8XH+NmeMaH4sXCU003aQTwDj8ArId/FUUG1HmLTG9ZYLZ13T6pKI/fN3//9l78yfL1qw6bJ/xZma9qUfmSbgFCglkjOWwjGTTCktuLISxFbIJ2Q7bv/h/8h+gH2wCEUKYScjYFoqQIARCcoBlWtCtBtFzv6GqMu89k2Ottff3fedmVr2aM7Py3Bf5MivzDufsb1577bV4rlLejHukBT4u3Wz7k9kOJ9hvKaGGc4/0tteP2wmO+yTpGSfvYV7Rlme5lAH2mgj1cTe6JTCuxEQ/tjQ0purMHus6zoz2lWrX/vbujbO/s5zYb/bfYp+vqurh7Zittqu8SxHYwPG71Nq38F6XZentoX388A37j/b39//t/HD/w9WyfEffNDx0QVN19BJtltSxjA4HfoHj4M+qFFPgOQ6jWAChgYwHFsC7XNp6C7vEdskegaiOoLRAhfJOyKtAH7yxHiXA1DLRYRMb8WBW0J9vUscfIYmIw8hUWQUpY4DjJwe7OHnAwwa1Hs8Bjt+z7hzAnHRgoZ1JcAuHVzImYawXhpyDDRs4vvXTLQKPjcCV4HiShhCbDA8a1/Ew3spjYGwJjlcXZqcTKqCQkJpsODM7nEy2b/Y21Ti0jQTH5bOBdwJXFnJKAMgFyoIZxQNgqijJYCwBeTCtANAGUEshXaGHNFgCSI/nkfEZgK5I1wQlcanQ18W8AmCgl+QL12k3/o3S6DiaPU23KTewCTQKqlN6o8TnXb01md88T+OQ7LztkJBJTPkMgh4zRBkfSMpgb5HK+wVoE4gheVpyOAkwoQ+4x5Ds/BLq0t0EUzwxFhMD9gjYu3Qivxy5jJNfLesRxn5PE/N4rtp3sfPDhXVta01VWwO0fqns4uLC2gYSdy5nUWGNws8zAW8ab3ZwWTdb9jOZ49QlJxPXZcBWUijqpFFpEExPyga5tEVSyXGGOf0wUC5P4EsAOa/B2edglC5kloJcEZIrGeQuP6v87Lh/MUlDLqeMb3SG0ur0MqSZZXeeJfqvw2uguT/bzPIIo868zCiVVQNATs1vJt1cFoEsXZE5Yd4J8EV7HH+IOlo8HGI8egq16ZO0gs9VoQ9OTyPMUzJHhBZxXWOfA8NFVMqY2WExSJazao+fH0m2kN4oL8HZ45RXmQ3yLZgXMRdedO654JmvUqVlnTw5AkPjHm8zUu7JowDIYyqMdZEANCoIwPgdGrMLrDdijVPeLyGZktUY2wP3r/PZQom/A8xQPfFA+ZRI8npbeUqNDRXVJpoLfPz6+BYQriQN1170Qax92DPvJ1UHhfEg2exqHKxvbGf0JVRKheY8zqnoC9S2V8cUS17geHxpLSgSnUUiN1LDkZR7HWaDp72HMk6+U0oVJwDGu6mz+f7E/gKwFkSe0NXiWqBG4iO8x8J/jMJzzPWiP6ASD3uX2Q6nsw0ni12gEgD7K3gG3Eo5FV/wjjPrSXRMccmuKXl+9V0K/7YsWEOxxuLvWHhV5YFzKLTFT8ae8+U0jBdTM/9hdVb9g+7N059p37J/Wb1TfeNp23x7/haBVxWBDRx/VZHePue5IrAsy5v2Nfu24Xz+T+f39v/jsp/+jE3VWd32cveGlMMOusd7L1WcIHi1MvzBVA9QgGVAfirUpum5Lm178RaBa4mA1FlHBx2w+euspQwKtIixQQFrUaXKMpvRZZbg+NLXNgE8G12LEeWop3u7OH1gUzeSnUNZlffPrN/veEgVOI6DB0w7OxwLHgGOLy6rAlmFY83xawnZ9qFbBG5MBJ4NHO8J0Nihtmq/2G5seBYfoTV+anbYjXZANRUEUAmOIwEM1px8BoI5juopsvJg7EmWeNbFDjAcwPgyAEQSGMAJhExhoBqQajHrKnh9ZESK50Rn6YKJB1bkggQcGOPQGK9HlrpT55y6rVnD/Jka5grmXHE1ccK7ElXG88QWzIA0U4m4Jge4CW67nEwy/XPwgwANABvECcCe6K8CRwKM0eyYS7kTIxS/Q2zlhYK2WcHkvCjIqgSjPA6zRZTwGikyFMZfJYMWh9cAaDPdPEAhQpAJ3H366AOQAtB3mAfbdb2Nw2jLOFvfyoSuqSF1h7j4MdsltgCM8xw9mo3Tnmxyw++myWiw6QC5Mg6PPqKkUBda4wGah0QCtcdDjoXm0fDI8IJxaP5C6sKlcYJRHkz1kGXJzHXJZDhq4NJCGUBIkU7JmZDKKbtfTsKs4Yenj//tf4XK8pMsSpJGENBMH4YJiT2A5PI7wf6DexCwxoPJjWqV8EJgo13RZ1x9KeSqZo47gK+tEjTOYkfChHrPAL/QLziB1la1SPToTeDhB+NZ+nmOMCIO0C0A8uMzhcsPQEoFTOZ2saprqI19vtunKhqSDVJCtJBTKsDc0M4/BpRvZV/gkpKTwJwlknSIkq6sHEBCAjI2+4os4N569YFQ5IGqVzvaAHB8N9h8KqP5oZKMk/a8IkhFtUfECwA1ZJk49p2xHeMSzwXwLVAciRFUMEiiA2gqwPmO0mM+z4a0FboJ3pfzCyRVZlY5Y/1DwmWoRurNU62ZlQeS8NIKjDVhsXollxVXmyUwSnD8Vrb9C7joVBHO4c4yLmf0CxhHhcH0wWj93FvHTUhR2RG+FcpJsP25fGvZVVtw04QxOyiZf7LYdLLYsJvtAu23jNY9Yv1M/gaPWb9eQAie6y0C5M5vcnmvkAkauQ9qnAavHHSLMDhtreIYQaWHEolMItbNHzd98xvtm9X/au/YP7V37ItVBWrH9tgicHMjsIHjN7dttis7isCyLI3dt4/affsP9u/t/6fxg/EvntnZt87zbEO716bodKCuGzdGSOJzs4XMvv6BtapB6eUy2ThNlw6lW9C3CNyWCLCcDwe5BQxISCB01s876/bQxWysQfkva3glo4C9IT3KgjkOjdfeQTGX7och1WF3YYc3zglo8YCw7+30wZk1DwGEaecI4BzMiWaG9iPG2GCHbrD79yYbz3AwwHWNGRx3cD4zFbeM1G3pZ9t1vpwIJCglSvvDyM+1T7OgqgDYFskvaK3icH4wqw+V7cYdoRPo44LtCMAFB3FQwmn25sym0hwSJoqAYQAYdJRDkdGj1McWZz4LgFpGgOA6dEpCIr54oud6CjawtKQBNIJpubjh2GwVkm8wy6IxHa5JhmMBOD4X6yoYwQlWju0sYTU2WpQ34y8Er9PDj4Y08Aq2vLQyETaZ/5WsbyUGIHHMWCGhONfSvnXm6uXNdBzGy7/kn9dmmOv5MIzYvFI8A4gFS03gvpKa8WAzhgvnyiwwM2pLPnOAUc/SwylF4C/M0i9rECoSLQkvVrfhg+oD0OAlFdjbAwzzQluX+zciFqEtv45yBv8D4HTd2TDiTIaemXUeeAX6KcYMTdwAmsunVv8Oxjn6NA1lwQNV/w3NcsSZe0ky6FwvmJ0uxkauEIjxp/UvJ4SSUeizNMBr85pgqKwNCNVJVD+hqhR8Zc1gsEHhu0AQZkQ1nIBzguieoEqeK67/vcD8Fzr1tRJS8+hSUcVkjF5N4gHmYbQr+wRE8iE9h/nMbMS8CnD8oqbvgsC5K8BxDhCB45z7yETH5xsr7cY3IW134F4KGykC5GHXgI92WaVIwWjezHzhlZHlbesPjwHHMadifsX+tWIiGO0MaRsxuFnpiNg6URuyXQDGp1MwfEcmHGh4GvNTAYwnnXFUTmJcF3pVmsckVciqBfSpAUb3MrsHc51AOfohOgZJH2CAu4cG+hbKtGi4OZv1YLW7GWeYbRKQj3bMECWTpQTHc8ItzesuAcZnFFPg3SZ2qfIEawCNWdFe8EFZOqv3SFzX1g0CyqELL3aQI9+RLEtzzFFCi5Jd2LdITmWGT0A/SbIO7dlMrHgBshBA8S0cfpkYmKq0wpnK8/yoPEQFGA03lQSSz4v0+GGiDQ+IftpZN/SM+XKB6Q7raf1wvxx+v3uj/5mTN9v/3U7ss9XHqvdvW5y2672bEdjA8bvZ7rf6rp1F/u320H50+OrwP1fj8qenajxbCBDAUBDGN2bW13ZgaVtF6Qg4J0t1FYff2QCqW6Oy9O2xReC2RSDAcfTtGaCCtWRIcEN4DrMgHNxkVIteDxl/MSOzrAqMaMimAT4B86AGZkZ7O5wJHAfLD5ue/v6JNRewaReAQHB8QUkpzIcQOYHjD+5NNpwKHMeTG4wxgHfcjBYl6Nuou23dbbveFxyBDOXmNw6MGiBOgJg8sJNFB3AcB73GFjByDpAVOCE4CyY2DuP6wsEOchOzs3BLw7csAcCk1ij2Ng89BeOZWtcl286ZWSswhrIkYMHpIAngB2sw2XI0HBMIlMHwMoCqe2Fy7ynmgnLDSnCWgJK/b1DAXAU6quMFRjoXNTG59DuCaElLHVIxuCQxxwHOQEs9GIfS/8YhUfgn2YgwQiZyFrsItWBidroG8qqFi5uYg/0oqrkTz53bzX9HIiFI1B6teK5raicQJX5wwKduYChxBLw76qhrfAFHgCRJk5MMIQ3D5IoHQ30ni6QjeTPR0CxD7McGsHUFMNSNTkXvdCAyYnUEljMhoiCEoViOTdFGyAHRKE/906WufXFEv3bmJ5I9ADbRt12XWNiAgEzJujj7eSUTAfC1AMdTAiaMbf3qnPX+gqeWW/J2ASa71rKyc9kDwfutc39dbkX7GELmkLugATCMgGWICGYxtckBYJZMUXYIbnwIjIMdzq7vVQ1Ivgh49PYJeSVUblCSR/1hwhaoXWyAJj7m5IeWwHEZgGbZpFVCyN1A8R4h8QMT5fHeaEM/8npmSG3QpFjjIbOdg1McppHqk/GcK5nyt6EHHI2XaCLOsogtjPwmgOMwmwdI7SaEZhwmAAAgAElEQVSLqNiJggOsL/Vie1QMn0AScNDeFPrx4mZ7MkoZDrFcNczRDgA68frII4Z5Ms020a8GVFfheyNgHix2JGNCOgU61QTYsf5ONoeuPOVzfE1208L1PBzp2zw3s1c7QF42n6phYr6I71pyKMpyZw+w2j8wBCtwvLd6X5udV3YCCR62W2S4EsncC+Hc2DpVkGsOwkaADP8dxvxMc1fK41AOB2O0KFu4qlLlFoy/3N98XvENU4LHIUEL3zZKpbl0HPY8tWSEUNXTQovzYNZ4IgJjpJqqparrP57a+bd3H+//Fzuxf24fs69UFcsZt8cWgVsRgRewM74V97ld5GsWgWVZavvAPjo+tB9cPhj+xvhw/xkblu9uq+YEB8IZZk7dYhdgkbcyZyE7A4BejXI5lbcSNH/NYrPdzl2JAJgTYE3gGABQAMwJN47CZv7QkHFT0yQIILnkEwiOk0UJeSHXYqT4rlhzQ3eww8k5GahdJ43j7nxn1R4nAQfHocFnszQ3HRyHziOZ46dgzYBiOVHSAW88EsQJnCYgwLvSTtt9bhG4HIGrwHEMEuK1bkIYJ18AQQIMOplejhV1HZuHMMmFs4ZY3ME+hCImwTsfdzpBii0uGSTJeiwc0BiPDjw6Uzf0bimBUQzXKOcmY7eaydAjCADwqFtkNAatXoDk0IGFJmVhPpgZoHJfnFzz+UlA2vVmVeC62OjZWCvJKwQgXoKSBWM3xWIECO6aT5gfHRgP07X0vZBWKSuloxRbEIyQCv3dQXI3WkvtWCBmiCUqflhQX2jNhy42QbKyLxAJkQRAICMynsyGYKsqbtfWVs/Lu5wg1aqfPQ+2kjtG2ZczFu+16hGZIzCefQxGi8XBO/TYA6RSzkAJigDOBbZHUb3uPX2+32Zqi1CT8f1eGoXrLi92cGKFCwwnAAkcDOCXg6PBIkacqXOMCsUkyxLGoQJi8V8kk4I5XjLsS6PRuzk/qh19J56AQRnc5URG7qeQhssgtpoQhsMCUgGMgxjQwHeFYKpkOcr5SwClWNxCWL0SoG78vVU+QABVGFkaz4snIFGlM0MeH3upC/g2NGSuphnAcy2RbEzjj28a+ubyYhhOYdLowGoz2gjJKQfeCOS6XwHeiwCpVxW9FuB4UqBKg1Qg9eKVUqgMGHtKNICRCuNnJEDA6k4KKCBqNKPt+8GGk9HBcfhZ4EvSOUXmy9dAgePoA2COI6ZsS6yNNHoNjfuaRoLsW9Acp/F0mPeg72KvvNiAvS6TwvLTwL6Z3yHNQ0NQh+jDx8IrsLTsHs+h+jd+HZgrZhHN05k1zr9t4LiPYR97SGjjP7QVmeOV7cBoht54tFuszN6M9DsAO5rVAg6Muxwc2nU5a2zoJnkQIPkBDIH9yj0w+KrbCaOV+vapF0bCiiH1ZLcTAlREAxa5ZKwwFrtpp8oKyO/BXXaav9509b9qz5r/rX5r93/YJ+0Pq6r64G6ub9td3+YI3M5RfZsjvl37C43Asiyndm4fs69OPzLdn/4HO19+qBqrb6ZJRAcN1onMDJQwkk3gun5eScuyyQ0cf6FNsr3ZK4sAtAll/ENTTW5mpKMJtgtAbRwqkM2vmdGXW3vozIKVKKkVmesFRgYjzqGXdn/fQzYAh00MJtd5dGAAr4cusdRyJWf04A0xxwMcb10GgFWNBYB0DNi8spBtH7RF4IZE4BI4XpTlJ3CcsiUC2TBuZQCHw3tlzdhbfR/6jl3SFYdWacg64O3AnQuvAbEtg5EowBRsRaWHdTXHJoHUzowy/jAzdLCVwHS/JHAcTHGwq/idjDw323NQmgA/5gswsmmQDebuIYO7j2FgrWIVepe8Pxkycg6jJEdIVgh0FVMw66UH4xAlwmSeQhvTr4eEMSYh/LWiva9J4dF3gsAcah8srQ8GsXOvnKIohryDHkkSAQ0Bxn8raRQcsamFnREPgirBvMfnukFKlOTrwkh7v6w57q0a7bcCx/0eCJK7/vazDokk4ZI4msVuyq8rH7yD7a1PQz+mji+YoEesW/WV3G6ZvZ97KvWfJ6aFE/NTKGX+NzFQZ/OyL6jb+/Ljci2pTf1KXfYHe0VKqVAqiJ2D8XJxYMkFIRmEConUVi4vFJIcRbZCIHDotQrdkqzKXd2BBjiuBhBrVszxSG5EX88+wCVQCIY/NG9hjgiWsZjGIAUAKMceCFxFyaz4BiR19NA7B4Mc7Ss/hhnaOq4jLBJBkbaLShkwRwGO1wLgabbrilQ+WSZ2cnp1yCGRBK45GXPlAGmVfrSFzFT4McAvAlovlfZzU8gUYb70igVnKmtKSBPQsw7h631dISUWoDANqGexxPtxR9Y4iBkExsHo9nir00hObH8y2rA72ABpFUg1AcScZ0PlCVivc4DkTtBA5TBnT86pkhbje8NgGWDfqKogmAnqM0ECyYbT+Gj4Vh2gI95BAB+JYTHHAaJiDw2GMdcnT5Jp3+1yXQTIo3RhPWdGg6wBSwHjxzPFujrhepvy1X96Xlc15+PLNeL3MCyvrYcHE+YEVhtI3z0tK5QF03xTx9zDKiHXhkcS7MQl6wCM42/LyOej/+AzIVd528Hx6FWR38t9zL1ovGJO3jMua4W5EQSsYccEt9m4t3r6bNvbr+7e2v2CvdX+jt2zr1UVa5K3xxaBWxeBDRy/dU22XfBVEViW5S37in3v/LXxb48fjD9WT/a91lQnOLxrA6pNzIiFLzm5+O73zh5Otr50myOQJ+9gQ/khExA4NokExxu6hpNR5RIABB10NE9sbmqJB5uunnhIw+YezHGCTmNLXU/aunODCTAI4DwODNikAhw/2IM35gIcd81xGAauwHF9uh53FRi4zT1vu/YXFYGkjS1KoUzo/M2phQpAzoEVyZyIHUV2HcqFz3tqoaISpIZWNtlTdB4UrzKVYwdIWJDVWO6NhLE+0WHFBNbFGCeAR6QoSHgO6IFd20puIKQnJrLVtcaGnjIhsCSNkWVKCI6TKamDpg76l7ekVwHjAp38OjxgqooRAEGABXEqTETjZ5QD0zASQIXPiWLKS2tWjM8jJKKcpkpAh8xA15t2DXTKTnkpfd0DcHNplGCNEgAXCzRMH3HrlNX2vwVwysq2oooggHYmQ5EsKTRPCc6n8DlbMYGzV8+zaptn680CBdxIFEB46kQB9wp80KFbbSXZ1/g7U7mFZmtIjoRRaJYgyW2iz4mEB3WmofkeSFJolNOEVuB6jBvmEaIv+veazOIIWgm2+HW6ZnlKVnkCIyRWlp009TFOYSQqM8eoaHBwPekLlzBK/sy7C46zY7DzxY7kkt5yVFQEyzjmM9+DABzHA30AXx1AzKkmsNqC6TsYf64guwLgE5UhDkxy38KyN8yx6CroywK7oi8HicanG/kq4PwAT9k66w1T0Yk3AhNdJxykZKOPrzSROTgOYLcZbNlNtsDorx3s0OxpWEwNfGeOE5R1XwPNxTINxSdin3drZVXKli+MWZm0JDjeWXfw9Q3gOPXkU4pLSQbUA8Mn52wkcxzyKnM9KMmCNZEimkp8iHmtBAzBUAx3evUoYQvpjYYsWOx38ZXXWppuhka6a5nQaBOyG64zjoopAuL1aCNkVthPPPXsa3u5Pqk7ZBmh1Y441hgfHPG3PMdu22etltDozzsEjBP0HbRjBQPXAxJmqK7DOqNESV7e3QsA1W2scEOSQ7JwkGUFXnAAoQ6YATuLJ+6gtc2+U/FIdJvB8dX5Kx8BPUEoeTnEjeMDuw3ETwX4ZOPXQ2fLPH9jaod/1t6r/s69j7f/t729++OqqvbPtqvYXrVF4GZEYAPHb0Y7bFfxAiKwLEtvX7NP2AP7ofn+8FOHh4e/tFTLt83V3NIcZVfZ0lc2he4fDjFWMNdewDVsb7FF4FVFIJdqh/ae61kGzDOjxLizHl97lB2DVaHDFI+EwezDQYHAgS8HBGPEeqnbmsZVLOvFeSwZRNHrr5AQGGzsDnb/3mzDWTDHw5DTDDKNmTkeB0kcUJ4RmXlVQd4+Z4vAS4uAg3Eu2VGynmN8UuqhQC+DBcsKEI5vaexCOxwcnTa0UskozFq1q8pf1zUVwLeWghC+WQCyBPxcc5nMWdQfO5vcAeBgzab3k1L2pagFSBkguJ4vEF2PqwHyjCmtYHKBYiEDcwTAx4FuOQAIEQM8votNLOA0wPAEOoT2elw9mfgCOGTI6NrTnD9nq7GvcPmTZNyHj3Mta5k5Zp1hxdtBcI+zaugdpeZBPzTLnWkdSQBek5IlIVXT0hiuSDWm+VQxpSzOIx68Z2gqP3P/RmzExtPDs6tF4nMiQ3Otp55AoFhujnTgA7Dnd2d7S1M2eomQUhzcO+vE3PX1i2uS/6zfK6HEv0tFQ19sZzBFnRHq138pUaCLSAC/5DMyUMaPwHigCa0pUUTtYRnPUo+/MKHlO7lEgvrcXV//QlIjutAT9MZSixzJCoyHADt9HkDii1/UI5d2NJiOAsmDSV5ZQ68W7WWK3pV7M/KMxSXps45kjJJXgDjvMUdrPr88uAKcY/+wwQzEnRNUuMK35UC5FSUWpb1N8NaTdRkcFyHzdoPjkQwOaSifs5ZIbnTW7LWHbZAA9srHiCk1xQFG97Ptz0Y77BA/gOOj1QvmfcSPDlPO8NWeFxNATT8c9A/IlKF6pZJWPfbIZIwr7ugf8vSBRIrLhREMx7iH4aaqpFKFjyeGAY1HNVDqWZ6EC1monAjKnSTlZI8Kloq8yqX5+k7PIDDGbZDQ0hoazHwSgQ4uPQcjV87zBTjuI7x23wiZb8LMHNVwAsYxhx/gWhaeFBxvSqowyQFN7ttO7zmeoLzKKvxmYHDKBDT2GdDgHMzmYY6k8/tm1ef6s+4Xd+/0P2s7+1fVR6p3n3k7sb1wi8ANisAT7ERu0NVul7JF4AkisCzLmb1n33TxjeFH7Xz628th+nM2zN+MsuWqr22GNmqLBXCyfX2hzc322CJwyyIQBmeYxGsaTImxKbIkDlSt7cYT6/atnVxAGsU3OM6ewPadrAsAGA4+gJeTHjCtdVM/sBrnCQfDYPuVwcL2fAPHb1n32S73uiNQ6o3i8BFSEmElmPRlxZAKpCXLRGA8SxIJMissOydrUgcasKhEJs5s9GAkJwCWDHOBtWIuix0uvWWwwlF6LsMxMWJlaCeQIVjtzv4E85I65q4jHFjpqkokKL4KfrDLE4CQkcjUOsEt1Tkub1nx75bscJ1QyXKioaa0egmMoDzeWaViCGbmaI7Fei4TU98TBM72ZoIgdKmL31WdAy6YRx1ISxIbKO6fHegqzDYzOI55+2oALcVjJSK+7rAZSLmaexwVB1d389Ic+dkHQpCuI7mQpEPUqbyNy/cv+yLVna8E55NdXQlEek/N3wBQKAGU5ICcKS52sEuzuDRFqNBAUocEfTAMAyhlk4uNn8HNsr/lfncMRinPAsAMoLi0aUNeiOa0ITEUFQSeHOG6fZVWwrM3xy17ZUibaKIIQ0yvDUhZCcUpWP+hGkXomHscwp1uZClJEmd5sthFhACZ8nVWw7ATFXVgBqPtKZnhCZXV1OQbotY9ICJ/5W2W83nSL1cyMwvC8BIo9ZRNWWOeJbQOeR5OXNIbhxzIsIM0yEBwnNUIBNqRBBU4ThDfiQuo+OHb3GLmeBqzLNTJxsxIYpI1PnasfAT7tx07tqPGpqYWMbMnm3YCx6E7fmgvbKoG5KmsxRwArWlA4RW+ghAyWQ3vKWjVH3aqsHRD1wZyPEg643W+flECBwaNkEyhnrhAVEoHMpGRkyVl4k+SVkfzRsnOTVJCWjO1HhaJzpSxVZd2RZ5UZaH+tJ5Pb9kE8FyXmxIGXugF80icX7AnQEKM0pLsO6qaNe6HlO1kctnrCUgE6iCfApkjJVswBqkZv6CKIySfJEu3IjGkKqjnupXrefFRcZy6W660wjjsl44VFPqqbT6QhHHo6u6Pql3968O94WfP3jz7TfuYfbmqUKezPbYIvB4R2MDx16Mdt7u4IgLLsrxtX7bvmh/MPz58sP+byzh/ymx5M9g+zA6fwpSlOMAeMfV4POIJsNzkHLFd0mcXx6aS5ZRem5bzTLJascK2Ztwi8OQRIOiFiu4Kh7DgNkrlcMLha2nsxHYExfvz2joY+OFwiMwQSk2drVgyr1i0WhzoaGqEp/OMt+jzCLwfLR0uq3J+Ntt46trDNrohp0v3xqnGpWS5tb/zzLknb+/tma9ZBFbguKRAyrWGzGrXglgxyF2DPGDFMC8Ei1hmYtAxoiC3DnJHx2kBLBHLALYdiwpNZQfIBYwLAAomrADtAARc55ugtjMBCcgLaSc2kO7Ty5gLVnnIvpQtG2C4SLY6wTFpV7CaCAzRiE9SCQLHIX0pkJy4iZcCQydT4JLHt0B0adLtZfKh/6z46H7T/ZMxTxJikpgJpnzI0nCv4Ad1599nHfEAx8MA3NE13VdoMlyOAuZmAmwr+ROx1nCbMjzVZiOXlz/JOHEwpgCfL3/65fc5BoZL7D4drp09y7P26gXF/odvvViD/kbWnxjAuhG8zo02Q0L/aI9F01JAi8kzRns0SgodVWIEmMG+5N2WvQFgiRuCJskVym6IbR4yPOrL0l9Nwya2gP4LrI1kH1YANh0gbyZrT1v9279USeCs0gS0xsJYmvAFw1xxOn6UyYi4pqsYpI9klT7uRU/SfV7Icx4NjgdArukjQKkAyLO0jvYylctZIHGHJJYkEghYz7M8WBboDoMl3JEVDKSUIDnAMyTPpsVYBOJJkjTg2oZ9MSxCtdcqAO/Z5aN4oS4xhL5VJr0K0D0U5jHvaewg6Rja44ONJzD/G20EMMdPzT4KK43qZJ6g5NBtfOh+1PeTbBFZuY3048feqvOKsoDQkCc47jeKkI4G88vB5t1kh5OZ8pmQpUHioKkkm4UEMdbVpA1NWRXI0cxMIvcXJ0yaLANkySS9wzWUiCgKa1AJIrB06ieapwJEhZ8V+5lJwiXPc1pnNB8rWZzmtEJeyae5Yv9bmG3GiPdBHkto+T3mhA0c17rHtXiG7In7KjHxCakc7IdkYL5MOi8FOC6VOPeS6CqbusVgtjvCKLeG3BxPUsxjKYnrCWVlt1JPfOQc+yGD8njUpve5Qls+3qokeocltQZFJObyHKQlNvs35NVXH5CSumGYzv2nPFgka1SbofIOeypS5CvQo77YNN3vnZyd/bSd2T+yb7EvVFV1/zbOP9s1bxF4XARu56q6tekWgSeMwLIsrd23j9i5/fB0f/ovLx5cfNoO8/fUEIzoazvUMHBxFgDNxaQbN8wjF9uubpOGaRw+qZVKTVXPtGoVSoeYrCOb6nHTJlcnv9jQSj8wAw1PeFPb07YIeARSX0sJHDEeYRaE/3BIA2hGzfF9Y+1DMMh7a3HwcLYj9+8sr/dDX5xZnGkTYJG6uXP9eFp00IbdGQe6wYaTyaZTHVRG6PE6JyYO83wLMnGcrUqAfGvOLQJ3NAIuqZGBAl9Gip2ZZClijSni5GzCBEoW4HEJij86sgVqE9IhDjqG/EdimBfrWwnWLUSMj6QEHNDWNBKf4d+LhACOsjpzCSAR4JllPqQzDZBbkijSEAfgIXkn6ogewJp3WQ2ecx3YDO1x0uGFsGZ2ZzDWpVlL5l8YX4ItD4CN0muT1b1kZQhoEnArWPMufbAGp/JklhMQxe+OGuPZNuD5Vc+jV12yFPPB2Vn4j+g0l8DxK4A5JXiCVHDVG+nvSvh4/I/fx/v2qlIgFo/iLanZXgQxS6/ENSQF6UKWRZRQgq7gmDrbnFgkwHGY3ZJ1CvAc+rLZRDabvOoidP1lm7vsjksWcQ2ELj/L9PWdTHJnm8oM1k0+Xc8cUCyAUfwHWTNoyUc1Q9w67o7+A3HtzoYsZ4mIS8lmPQbar5pWXu1MvCaarEV+og11ReVYietWVYzmj0huhb59fk2Y9eUEJF4HSZ3mAvrEaF+QkNX2qkZx34ZMCiZILik6v56cCUvzSxm7SOyVvwuslG2CaYl5PCRUBlv6yZbdTCb0oTkQoBsJ9ufxBB1tMN3R7njMkL16tQ32Qj+Nd1FjHZCHDTTAMd4ob7KvrTmvbTf11k892yfyiOjbZPruzm0+QcUGtL+l903zXHaJqARxBj5XEFUVLeNMVnF3cSrmeOxDIdPBhUvzPd+PZpuLwNNutoESHBqfUDIXf3vd8sdBWucI/V+P2vdeAY7m/n45/Hd5+xxxL2PA5vNEfRAO1vsh7Ur4f/6wnrPLJHk5X+a5Mlc7PU/sdZ2xjhztT3x+iPeP56baFE6bk4msjV0AemJrs6GSJvsmhMFxCOyFxJgSBIvtl73VLeSDOpKmKpCnDqiogJlpY7u5tnkYbJwP31g6+2z7Zvv32jd3v2In3e9vEiovdCrc3uyGReDZ9uY37Ca2y9ki8GERWJblnn3JPjntp780Phj+++li/Hfnaf5Eu+tZOo5Dy1gPNrYDN1lgC9BgaZ58fVyfwnje5uY4WF8ZwNDCWxxjHLhU5lmQQTghluWEH3YP29+3CKwjEMyrbELnx8RUyk19xQpyCyhP7aw/760972w3nKovRkcNalTsxjx/E+zIchcnxrrKmonbEX8CW+5g005lrocdTD1htqfDA0uXfYiQ8Sg52KTht7XsFoEtAk8XgRWg+XQv9WeXwLWXaDM/lllsfkbj82P8xs+SQYiJIlidfnBMmNcagE+MN5dfsVrwgh8R008UxXDNaAGVko5JkimQG8C/oRMLgDHATiHgvsbi7Vzjm0Z2mnPI3vUDMSW5kyY4ZGQEXuI7AXH+zQFcNwdcA4xZSuGZmuA6XxQEWMmqX27jo2tLIGvx+6sPECHZ8vjjRUhErN0o1OMcvl4j34K0V1eFvlrSSY9FBtb/ziw6v1uxfUNn3pMwlCii1qqkecL0k7I96HNhXi1fVY+bM0Zjr0c2I4BPAHYiX0ByheQLahYLfAP4TWayV4ngvtk3mYxxmYVg9zuyGtJn4NECLKUfiCO2qza6JNGg8bAGfB5DU7zOvvkKPhvJNUjOUWOamxKZzFGGZUaFnf/+CKEqySzBEr50uatuuo7xqpqCeT20NZIo0DuebepHGzqYc0JiBfuqIBJQRYTAeIdDC9jTnJ9eQbBe1kdwURHAj0pG1H60CyocBY6355XAcVC1C3AcuQsQMIbTc5t2MNvwsQaKq8t+cQ5xU04QRPC+IRGByipKtVz0lF9hE3Mpk9kpKkCgXW6Q4MSagHELT3quDwsNGjFuwVC/orDjZUVre9/XKAK+S+Edad7PaZbjxOYKHA+JKe7UpHoOQByGwkrXyHSUUjyscuEqmRJAKWmH/k6MY6ZkCvT3IWVEGZoDfGzMpv3hom2bzzX36n9YnzY/b2+0v2Mft69VVXV4jZpiu5UtAo9fwrf4bBF43SOwfH152w72neP54ceH8/En5wv7/tqatwCEG5g9UVbVHsiEnaFBhvI9MAlY8ueuzdhAk24mB2t6oPMwE2aHufAtH95UBKeFLiD0u6sZ97r3tZd+fy6lIhZcZkUR0HZ2Gg7gODzjwNdBx/Git27fWXfoqcuXEjzFgV+nfR0WwoAusVdDpsFBKD/bsAJirA827kabThY74IAHQIDamTNLlqFMwI2gg+P4pysavPRQbR+wReB1i8Dzg+M6VsUj4coJnNRfStZaZk/pLziQ5Udm6QYj6/In5GcLTnRDR2k8FSC3ZC8AiBD8JjguNq/kLrLRYsiOROkzNaX9yBgguABHSaJIO1wAedsBWBQ4GexxgeIBWAYz2LN7cZT15ftWl7U/BTieQdfM9E195ypw7rGUuvyCWBOOx6ZeXrxx0uot3jiqAx4rK5F7+PFlihnqbODQiPZ1NKSKyBRntYL07GVKLTQD4Gk7SAs5DF/FUDx6ECT3NRkLYSsDTxAxxnswYBxcq9/B8ELHNo0Kx7Qp7RKfwWEgreYcleOYrRtCf13HcM3Jft1myUffD5JuHYAgb18ApgBPadgJiQ1PjFD3u/RiIeM0skmRHVl/zuXuv+4V5cuTjjhJOZAKcd1jgL9kQ0viiSNiBj8UQJaklVCbd9vBcUpEeUipGA0iB8Hxxtp9Y/0EQ0WZKSL0mKuhpAUD0+ne3sZ+kB8G6y0greM+EJCkgvRW1VkHSR0YVx+qVG3UUE/ZzebpU+++GgDIkcjCWO1kvIn9NAw5Y61gtYhXfd2dEbPd6UuJwBX5yeP5I4PjsSeToXS1wAUaexiZ064MzjlvsWNLm14lwp48gj475jklBztUzCBhNChJOM92mKrqj23X/EZ37+Rn+rea37B37EtVVV28lBhsb7pF4IZF4DbnnG9YKLfLuS0RWJals/v2jp3b9w3vjT85ny+fGQ/jd5vZvaZruCEa6j3165YTaJAdWF7HDRFN01yXjiXcUdQJoECLUHxX2XIcqrUwRZkTc8RMD2vx2h5bBJ46Aq6NSz3UFTjuh+Y4VIE9A3OVubd+6Mkgr/cNDwvp8E9apV9BztsIICezaUWf0rkgzMuoFDTZWAkcH0/AHHdTG5rdijkeplp4JzDHE/zxWCDlqaOyvWCLwJ2IwPOC48LbyrUna5FneYqCVexRjVdEqpfv4RUi5VDWsibgTq/JnwU91iQLQa1fIbU88AWDl/RAsCUFUBIc9/WXACEZhwKvKcniRpoozw+9doHhMhYNcLySR5sAp2AZOpOcauo03xTkmOc9jxRvMAOgBN1va28LqZmiZcrqgPK2dNsriNy3Lc9694W29/H+5wgcZi9KWZkMzlMWJWRJUqfMTPJ8tccN5BAx5XJUFaBbW1+TdMmVeNY2TgkZ9TMkbVoaBkKeg9Iss5LQ7KulWohfCEV50kK4ENw7P3lgYzdYVddWNxUlNCCjwudC4qEGszyqMvA9tPcFAAqwi3562WEtUS8Cy028/MDIVYJ/Fx9oSzCKJTWg9iMwDsAUQDnmGwBGgKO9n+XKz3eyChEAACAASURBVDKgl8fAh4Hjxe5HcwykOkDCgYwHJHggvwMJDxo/uv8BWKIAfBeIKMgbJnI1t7P9dDbS3I3jEcxRAY63BMfrC/nkQH+ciVJ6lLpkYG227w42vXmwsZcpZpIiojyRPCh4VsP7ja3VeE9ItbgONclNfFtGXkkIsPehJ94b5ZCCZALg3fW8XHcqz/vPOgPezjbbrvpFRuBRR//VjJyY4iF55j2Om5qdNjOQV0H1Cb8HmzzwBczxYJTnfRorirFWXbS2W3rr8JLDaHYYMB7/uNq1/099svvZ7qNn/9g+Yp+vquqDF3nf23ttEbjpEbibu6Kb3irb9b2SCCzL0tsD+6g9sB/Yvzv9N8PD/X9SjdX31FXT1HCp5+Z0IDg+96NNYHW4mZL07GD64gQCmvGQmuZlTbncWgdsMWjTBssZvTDAkAb59tgi8HQRyFrgARLooEfQKxnpTTzM6yDYUrsRB4UKZXMoW4WjO0qIQ3NAiFk+uzmjMgyuAkAQVqFDDdWFoI9ZDTyoEBwHe7zFeNHxrSFA71KQPAf5AWY7WTxdo2/P3iJQDE9Bes/2YCJ3JUsRNnhrQPzRngCSjtAQDs3fDGTqbw6Lh9wEQW1JsYD92IwwwgtwCuc6yaVA1iLAKRziwPIkQBIfiLfFP6kNTjtEgtmZKS5ZlKqFWZ+Y4AIm3VCTVV4wUHRDvbgLB2FZSEP92ZCJcVV4JgT1s/CcNW/32Vri+l4VchxxBTkpkifmAMajnX3qf+6Ljoqm0CiXVrT6Uv7ZhUAi+VJ0Rr7e2yNfbQDf6Y4usaozGFzq26+l8NLHuHyx1j0vU3cgHXJlkxvASnJFYCqYrzT2Swnr8r2lb4+7ghH8vt1TzxgJmwoSK1gkwwyXZo1lkkbxoQyMJwz472IM5hVWn1Em0CLxUY7n0Kd97sa8hW+QYpN8CkR6iSoV/LwcIGOi9uTcxOScJ0zYT8uk0eUgrLc3V83UXncKqQ5ojwPgguRObzZBRxsyK8FcJk9cwFdUy+Ra1FvYAD7OYy8JnXeYpraTyBuQVemnzhowKUAV930tpa6axfbd3oa3BiaXOPejipc+mu6LA1UU68QUPzRWw3x1bMkiJ36IZac+2NSi6hGa5dAVN45Hxr9ZbFwEvEfZCB02sJ92j4xxU1W5jR3vxlxzVJpnn7IAwOMIJtlWTjOrq5bO+Gw98YZ6mayGBjkdycOQWFUlqO6Dlj8YAkkqaqyYdOrHjoab43iY53n8at3Y7/f3dj/Xv33yq9Z2f7Dpit+YrrJdyCuOwLOeq17xZW4ft0Xg5UVgWZYze9c+aR/Yf7i/P/7X0/n4wzZX3143NXbL3DzN3WhT618AybG7Csd47dqc1SN2mwvYJbOgMAmSCZXqcrWv9gP/y7u97Z1f0whIGoB0Gj+0SSMT/xEwijJQQGALZBkbHj54AIRW79BYe17zMEJGJsvDj8FxafKKASrGHB7SrZNeHRlvONpRs1/g+P50sQHlwdh52WQtAfpIJBWg3AaOv6a9c7utlx2B5928STNcSdwwpwpjMsLXBTmyBB/TzwUzXOD4GqgroHZn3WptVMWJg+MwPMRSGoxx1xVnJQzBqDBD9Lst5wuwCDnHCOAO6RQWYwE0p3Md2H9gXvqBMc2LhFOkKR6nzxXQUXDdk7mXG335v/kOtxoc15G7zIWqz8ZvcgdwWDZ1aTHehMpeISTyRF2f+Q0kPHxFSWkWB8LjTTI4X3RIv8xcuefX4+uTnpkhhXy93o8cXY41qRxLYobnq4pwBCCZbw6JnkbJEoB3kAAi67gm+1jVDgJSyVLl8ik4E59Bo1cAcpHIxsW0Jnk/9mEkb7TXJEieDGGVuFH8oS8rgLVMKGhvmpmG2mtGgiff3e0GV5+omz36SQCOXM8dbSvgGwQDtRvlclC5Qqax2lUSLN62biR8+QOunpmP0k1lD5PvAf+TWStZy9C77iHrMdlIYo7IBjO0fXzfx8rTZ06PPmf8nvvl8syJc1A1NQSuoQVeoyLj0FD2JgyXOYAQFyQLmpng+P6NC2qPh5m8hLrURmT902RQRBAwx7sF+19noaMwqXloUzfa0tc2dzVNN4cGppuSswFjXJUlVHWWGSq/ZDgg6sfzrsTPHcjtDW5jBNzfRSuVr1grlnj2yFitT36v8HuZfPxjHWTCBgl9VvqqokieT1on6qW1GuOJXw0rKJphsWWe3p+b5bP1afNL/Vsn/6B9o/1de8O+XlVQHd8eWwTuZgS2Wf1utvt211dEYFmWN+2r9i3D+fQj8/3pb9m+/vP1XH0rzxgEyUeyFLCZmqAX2YzatMJYydkk2mAX7BJnzAW7R8y2kpxbopFbs2wRePIIHIPjqEJgGbg7kUsfUf0Lh2kqZy41S4lRwtqPvVX3jSYsLLE7BsgTtSrYbsfX5uA4XclmG6vRBiSQThbbn6LqQuMDTAYxx7GBA9s8QLknv9ftmVsEtgg8KQzzZJEKCTAdzsSIW33nwpffK/lpJLa5qqcCGC+f7jAc0fIslSI2uNOZjpjjKoGXJIWeQxmL0CRPlyFQGw/qwEJ+ANUpKtrCtEaAUTLQAhXxnQA5WFXie/M//uwVLPH2qcw5gERPAsrwM4PjfL6be95eYZUAj4kUH3WaAiAPebhLz/G2fS5wKLS8rjr+O578iO4s2Rtq8ZSdNFI9K3BcTygM0f0VV7GpL69yR8mC9Fr0zo5AnExjJf0DaY5qUDXXAnDV9fHp78FBUlyv9z/qJdO4E5rkkHdwELAek0EspX6oFSFQVwlqgaOlN0j+2XWqg0GewPGczrjL4LiUnFQaUI7v2MsDRGUFAMgESHagbd28k+zytM/PfTeZ3T1uCvakIkruUiLGxxj+zX2bJ/cosdJCYgWVqzDnxHkjKvLQ9W9x5SnHrSjcrA6aIaHSUce/3kOyqKIUoKtEEEiX7EmA4xe2f2NPzf5IpqI6UsabtRkY42w/AeQch7G+QLsc57eTCxsBjne1DDfbxYZqtrHGagEdZ5d+CTkbSNo40QPXDQnNDRx/sv3G9qyjCByB49p7earL92Llunxs0pnPf6zDE0EvKvRkq649XciPDagU7q3G+Jp6LCMXy7T/Qr1rftPu9T/dv9X8M/uofbmqqv3WVlsE7noENnD8rveA7f5XEViWpbb37G3b23fYuf3H59+4+Klmbr/fFvsYpSrIItcXXOXP2z0PL8FAYkEfyzTjIC1Nx2DolT/rUIcDexwQt8bYIvDkEcjMADEvIzGD/scDsoMHkvUpmQkyakHJ6vLuYjtslHg40QGFhncrhiYOkKFXt74+MscJjkP/VAZS426x4WymKSdKx5dqZAFgjBEZyGTZoSe/4+2ZWwS2CLzICJSyGjqYOVx2hJVyBvExG3IpeC4SXvkhADlASM5H5vIoDjTB9I4l8hPYdwAsllTtIlAKgLhkV4Qj6v0DGOQaLHFySqIY2JU1ZCkgSSFQHN+DjTtCiiBVa0EmJSjx/r44PDpoWUKgAe6X9xPs2zL+mmdv6+Nx4DijnkHzK+5TgOKHV7496pDB9ck9KRL7dcVEj/4UlUrBUve+UcjipDyugwNXA+FZIsfhUE8mr0vZy/6s3hyxWLcz11n0Y3BVAZB7X6c+tctwzAese9gVPkZ/wZuBGuJgBoOxyu/OGAdVFWxyl1xJdfYFzg7SBasY3Fw2V47lXp2Bk8gnPOrObmt/fsrrTsmtknvtXkChV73EvijY4zCs0/wF4LUDG5MZOcVS7Pyj/dN6itRFRps7cz3/0s2CqYE9OYN8srmfCeLO7WhDNZBFjrcF0/3WyjKiz5pY39Ia7yjzQJPbfWsGzXHsRym1Ll12JAsWJAvayYZ+bxdne57JMN5aGne6LMsgSZykGQ+9FQDi80zmPVOs7WjVm4tITjTn9SoOrh8ab5FExRaX7HGe67SXJTguvu5Tdrzt6VsEFIG8/xLRQNNCJh3oOSEtpj6nvRh+BgAe+uLSFcdqxEolVDfMkNJEQg+S5JXVmLdQBTO3Dytrv7jY8rv9vfrvNm92v2G9faH6WPX+1i5bBLYIlKvxFo0tAlsEVhFYFlJy3rQvj3/2cH/+q+P98SfmYfnetm7fahoZuezrCxvuoeQRJhbaKrFIG5uvBd9na9rOiUKuRc6Dv+uT85C/geNb13u2CFwGx9dMvmwo54yzQhYFvRWacyf7nbX71ubDwsMeylBxUOFBOg51SV/hMgwEBpvKzdHzMRZmO4Axfs/IIL+AuXkNLbyZW7c4VCQzvxW49mxx2F61RWCLwPNFYKV5Wchq0PQSspeuH56TvDrIsRqkAMRZ0k4WreuGj2LvsbTdf6ZJGjTFA1RI5oUOMCV5lsUAbhPo81J6MGsBkPND68UlnaStiWucHCQkWOilxULsXcrMpzB3PEhgfhxC+d2xqzzbOWt8vUPwf2VZkudrget4dYDjj/rsAhzXuZyPzIA2W9A5yt8d/RzJjaQrXnyU1i+c3BXxeA4BRgLKBVuf/So/J9jSYUiZwGcnJYjWb9Y2KCPwa/Tf8XrZfVRajsRwmGxyJfPnsy/Ea1NnKIEw7PcETvB6i+pB/dsrIEqw9AhHS29LfFVGnGESi/47AX0nMmfSU+ZGU2a0qpaADAd45xPZxqHHjCouxoaYYJjCFzI4ziJfJUCuowte92cy4adRrzjFDKA+EokPmXJKjxzJPZp3QkLn3I1Z1VtZQcrkXjTs4wpD1Qn5uTRa9X6iuVZyUJClA/hL6Y+TxcZ2sAHydc3IhCCA+qvG1nWH9Uk+XxUO8sRpl866ubeOwLiMAimvAsY+swD6gnTfUB3M+tmW09ke9g9ZbdEvO6uH1poLaIu7vjjIHth1cm2QpjteD8maqoXp5mJDO7gsF6YLly4Kc+bCpDmR/QsJDCGUGzj+JG29PedREYgFIdaoLKUSM1EGxyOZKQpDg6VgGHT2grQl1wTNUUgUIdFUPVysp45/bfM0j+My/UnTNb/b3Ov/brfr/onds89XH63e29pni8AWgXUEtpTn1iO2CDwmAsuynNhD++j43viD4/3pvxgfjJ+uxuq727rd1X1NQyWwGCoyDWACBraPDixk8XDLFYdQOoj5QRC7PW0OL5c0b02yReDDIyCNX1cC56HMzeIKC/RgkOPgLcZBhnywgToZemo72lBJh3xqWJbKg2DWGFgdGssrQ/8WqRwlwrONzWRDO5M5Pp0udmj2BEDAcCDPxoG0u2wE9uEtuz1ji8DLj0De/B0fyBKCTCCOpf7BKRf1WjrlJPOBryRAiMxZoNTAOwHaOBje0qAQXyqfp2xKzC3Fj8GISl4Jrr1LFi0qtiArgJ8hPQGAnPhgXA9kVCRZJmA85Mt05QREi7JlsbSEqJfHU5+eHC7zNsCTV+zPAjROTOWX314v4xOS/I2/+Tr9WbCOH/HhaX2JUB0x/hV3b6ViXeLBn8zR2P+E0WlU3glsbqjprZ/JwE7MXJnBjiAhpB1WZSDiqp31PgtM+gqtbRpI+20xSQNmKnS7k/FmBEIZoWAB50ROobBOiRMHx70vORLnva22ZVRVYPSrMt3A6wyplaQZjkqGSEZ59VfElka2/hpWX80GwX6wiAmEQ78cyaNO31k9AfarV5ExMCtmvSx57+7+0yXovIXyXim3kvBrzW6l7BzBcWhk7wHggr2tZEyqfuFr9LuyAGM9jCRgncDx1b7NAV2A42hjVKvuJhu6wQ6NTCTxdGprH42rlzFPvIz35PjHeWlGARCMMnvrD51VF421BxhxSm+cc7UrCNH0vTpYtVvMThc7b8/Zx8EYb2C4idfh+wDGuZJK+IIkDUhMSDKw6pfrCcxOVXGhx9F4iHHjbjsqOypHiw/UjTn+MrrHnXjP9e4jeldehUtgfK1ArkRc51Xq9K+IdQ8kp7HhGABAboMt8zB91drq/2tO25/v3+p/xd6wz9lb9m5VhTnFnQj3dpNbBJ44Ahs4/sSh2p54lyOwLEtv37BvPtw//4uHB9PfXM6rv1BN9h1d2zUVNlFwlifDYya7AwwFbMi4aLmshZh2JQPqeLN1lyO83ftTRyDK7TKprwACCugrHY7dVs3RAWhq9mNL9hw1NYeGX8GmI9jFg5cYVQFC6DoFOQHcwAEfWBVKJHDQGNrJxrPFhhMc5g421WA3ACCXMWhUTmizt4ZjnjoG2wu2CGwReKYIZFg5H/kzezKPzNJYE0mtQBxwrGp5OHOmL8FvgeLV4CXtlGoCU7wVKA7Agic+zSlgPHF99EQf2JI0pwMbFhUnfUVgHPJM1NsFgxyAigMaAEDigJnB9cI+0tWgSsA0g+Q5mVjqeernkKU6OrAWgEmpq/5MDXDNL9IKEQCPX8yRIoQAI5/xi6la2siQ+9D+ZsUQR9t6QLE2lBI1+ldx7PDKoRL0JubszGv0LenP+77Jtei5/szyrwhKeyQ8MkDuGq6R63FiMK9VZPXUj2JNY2uXALpSzr4EpkhkgvEsHXuuZEQrM7uP0a1hmKl3j0R2JKhLwN+f4Rec18XZx0lac8lkL9I5JGGINY7xMrleOVixMHQcMY6cAZvv0Vue8bi75IxIjkUVgsgq3q9d6hB9pa7ynj31QzA3p9Z2407gOKQ/pkVyK65rHd8LVbvUzOkH6B9IICUnDH28qeu7zjhA3d1sYz/avtnLy6URgz11sGueT5724yUjNDOBAHC8n3prDw0lVaA5TqN4B8cVHvTnwZZmtLo3s91iBzC/ob8fBvNDZx1kAqE57uMeiSOcyabdqK8eawkY6Kis0Homvw1pNMuMOk8aqsDUKNcaU5oY3974P217bc9/sRHI669n7bVKrAhMJZ+83Iepz8rrAnuuxg3OWxAS4HOBcTNX0zjN7y5V9bm6r3+te7P7ufad9vfsTZptblquL7Y5t3d7zSKwgeOvWYNut/NyI0DTzq/YN188vPjL0/vz32oPzZ9rqubbdTBxgzAc5sFMwL9xkCdrVy7SJXtNWoFbWd7LbbHX/N2P5cG1v0ol6XH3CfBxprmOYzjgVdbODcvwqkNtFUpSAZDP0tKETEJ5ois3dJQxqNWn8T5hNDZ2M4HxQxxGmoPNNiQGJ65OIisBAmwA+WveS7fbu4ERSOB4AIVHBzNNJQEOBovW5SJcQgCalsTXAAw5W5xgeALFwbj00n8ex3yeWACqygBNRHJqGEhbnPIQDoIj6UzGuAPjYa7pCT4xCzWPlATKFdE7KmqEUF4y3wuwMVhaGcjMScGgfyb/BrLJIya3cxsdc3kwqUt28xrATgTMI+9LgFvQdM/RJsgdYKKDymr1oz4QLDcytnOWN4HklOWpbB4h25PBcQLlSYLFHVhD09vf03sZmwySX8ndIsn3aDBKrseZ1Vdq5+drW8Ujrp3fy/Wx6AclIB5rbpgu+t9klFbKYjhr3EGSInw+ezjw7tg+d48Ydw4yInk0IIEEw8IeshEoCIN5YxA0IjIbOB59Mk0a3jaIZcjQZDcBoNSaJAGUq19pjoPBXRMmw8iTuBY5PVzQN0YleriPKssG+HaSVXkUOM7kIXX1B5sdHB96mJ6DPQ5w3PXRbzVzXPeA6iLI/HWH1uqLxhpIpNALR1UnImKAfDEwIVe3ixlIsTh3zTPYsZIFhOb4AlBdcwrWkxHP6ZFcmGzsBxs7yNIMsNt0nWavgnIPDTVLZpPHOJQVz9pMPs1dN3B93y7pZkdgtf6mNULzQbGiJjICDTfT2sfMrsEiDfNQh+ngUFk3VtaM3BF9famWP5ra+Z9UZ93P7d7e/Y59zL5SVdAk2h5bBLYIfFgEbueu/sPuavv7FoGXHIFlWd6yb9h3jl86/EQ11n/9MA+fGpbpEziIUNOur7l5DXAc5a8CybElcxMNbpAhfhcHrJd80dvbv4YR8ANzAiic6ZfMXdbMllymJ+gLDJkWRcMoSx0aqy5qfq/BKIcEQiqJL0MnqABYF8q3sZPreEDUlg6GSXuUAO8Gm05GG5sDTTlZBu6AG8FxNzna2OOvYbfcbunGRyBzbhP0S8CmPJgJrHSJiwVAd8OBn1ivDghRGhks7klM8c4kV5E4rjSeW2u6gtE3txXBO2nKOkAe2sluuMjqKwJ8czIaPtapVrCDZ5WIwf6rLI/hMG2qsEkyw8EKDPywOKJGYjGuv5yvMvv0xjf3pQs8ZoRnjC0hu3yNEvrO/3bAOd4MbbJ6FEbkyQCSklsB5EHHuwDLJ/2efw8ZimRqnpn9AQqsWNxkzbWX6o8uH2pKVNKv1rdcrvKdb6GskFrJXKwTuIpJrT4f1VWuWiJ2qT/fNb9zZUIkXDwlI29Z9d5iDQ+QFsz7nLRxOMWZqwBfu0FJZkhvAAgnQxYSHP1yBI67bswmq7LqrmXVSRrXDLPL1bmsFH8TZGImXDBlSd9XcitkahKghdwKqmcgUQfQlvuoMBt2cF1vFuC4kpCpIqBI4mDPBHB8agcyx6fdbId2JDiOxE6Rl7p1E1Cw9NfgeOxBe2tmMcflaROa4NBad3C8qWyYZ5uw74SxM6UFtWfFfMKxjeNVO9sCQ1OSllDViz0pFiwYdGKNwiDNjHHSldycOoKqMX0FOL7xOm5dv7spF5zWX9+5KDldVqwpKcczGBNsmkdYgYeqKexZ6taWYbH6wqwVOP5+X7VfsL767aVffrl5p//H9k32xaqqzm/KfW/XsUXgNkRgA8dvQytt13gjI0DTzvv2MXto37t/MP7IYX/xk9Mwfcqs+mRd11bVlVXAElgGDpaSl0iS/QaQHA/XK7yRd7hd1E2OQCrrDxEAAhU6dMWhrzQ3I5MmDhosHwbYNPEgAL1HGCC1YO7AEIns8dB7zczBEE/F+6OcHpqNeICxoJwPhIAnO5xMtu8PNgMcb/c0DtPnYVNX21ypYqJ20Owmx3m7ti0Cr2sEVuBQkgyJuxVjV9rMAoA4JwBnA+N1qmw+wEdAxmehyUu/AsdMQ36DHhxuqonviSHO9VG+BSFBRua4y5HR2DqIxUm+Q0w/4XzBKwyhpyw64ZCjg5eeRHQR2gA0ywJ5QWJHW+JUmeNglns38BzLF9zeLXR5OC9BIJ3Rc+okgeME+Mq1QGBUaT4oSRLJPQj0zvrfTv9U5FKCRT0wDDF5HaEDD0lt7KP8WkogkHItUbVQ1iSFAaU3DQyjE9Bc+CQmdt6qxEAaPCk9VGSPjrXV1f4h+ZKo4B6KXBpfwzQxcg0hv1Kkn2awXguhFJptemPgfqcJi6qg2KyPL/kWMQYlfQZ2LKQ2wIoFOL6cmM3tTCBQ46oEx8vKsisSB6/rZHfVfR2jyyEHFLuokMmBjBClhHyWiH0UDck1N9K0E/J0SBCODRnlyz7AcYDnPq4AcHlFQwyeFTgeKgucexwcbwZbdouD4/B1wRnisYLmN78VPREFwK9FQhWEjH0tggb2oih9IDiuTJbiP1ndzFb5vnOgqpG0xRGrSLJGQnXpjBr8AMg5Rip9UZYLkkdFuUxUmCSJlSsiuHbnuPkh3q7w5kag3DlkYLxMkqqyKABxVeQpCcfKCKttQnUVEsxD9UG9VP+mb/rfOjnpf95O7LfsxL5UfaL64OZGYLuyLQI3NwK3d2d/c2O6Xdkdi8CyLK19YG8P++F7lg+qH5svxp9Y9vP32mgfaZuGjDhoQeLQMuKrBXPBy5E35sEd6y0v7nZziZ2bmxF81oEpMe28JJ3arWGqJ/RDGqU15E6M5ajd2Fs39NYOnSRWcNDzzVkc4BNQwbL0hbII+F03BDguBijKfwGOjycHm7oDPsC1hAWOw55zA8dfXF/Y3umORuCSRvSTx6EEQIVJlqxxAWgCxP2LrEhoioslTuNNVpcIHIc5nMw2vawEUwIYfADFO5ifTbYUZmgAMAhyALwjCB5Gmq79GwAkkQ9nfxf603y+A+lAOWKGyxFYIZ8CWMJMNLihxXyZzQo122XYPd4xAHL/9y1fu8t0QY5ZILmKpoBxB/VCAgUsTUzzAGennuzOALyJNnkbCQDPpeCRqA1Nb+U2JHuitrkKjVoz0+OaQ5JLZrH+CGA85EtIsHOg2qV7gtUtbFPAQ06rOAbNcgIZfVoN5rYnkq/Qg226Nn++A6cC3kOHPJLVusaExfq4JXjvkQ4T0QBDMPbmAT4dDWOd4spskRiEKNzCO4zV6LJ+oy1gGPs4o4EtvqJEIiTXNOAfFfUnn0Ru8zO9XaPOpKx0ENoKiSAleKLxoqdKD3xm3PF6zH8wMoc8nYBxl6obxCanDwN0OSIp5EmQLGmU92ex1+JshX2aDdynIeExQne8dXAcSUY3pL2tzcB5hHrJtXVIKhAchzREZ53tbB5kyqv5AdGffM2QttDCyolaMlw02BwJhE+tZLisl645q5TcpBm0JEg/Fbh4MQ7Uwjlp6k3vE5T21Tnax2vmbW2H7bqvJwJpBl7JqsR047ris5JH2HMh4ab9l3HdXSDCXzdfspP6t6qz9qer0/6f7j5h/7aqqgfXc0fbp24ReD0isIHjr0c7bndxAyJA08779o59YH/68O7FZ5aL+TPTOH+qqeu3jOV9ZlO32AwdVQCTzWhTfXAGSBxWEm8oduRXbNauOvT79jEd0NYByeXIfhRLnllrQOQGhHG7hCeMwDE4LmZ2sImKknQHKAL8CfYT2JxjDQm6hSWs7dxbP+1kzEn9cR1awvSlNE3DJfKsB+1H+LIBLAtvL4DmHQ5wg80n0OIfbG5Hmbc1wNRmG0Iz2NmIH3bLj1uobjlG9WG3vv19i8BjIpBHRtLDPiI0a6hlaZHETXWW5NWSDwJzWsA+Y01fAnyHYmVNbXF67FrfnsiIcAaz0j8HyKMDkwCPAhyHSSBACyXlANjBzDcA51xOnO+jAMXdkDGMGgO+YAWW09TdLu0oVgnZ4u+lGRtPEQgqlEXglB9Lna18RdiP3PUeL2twDLHE+8XnFEzU8qMKNrqeecXsh9virx/nq3X8uvW/2SfgagAAIABJREFUeXWeVMj3HUxtfSe0jY9AkhSxowyKNCbIkB0gf9DaQsDc3z/piEefCxmK4vOjWWK5CmW5Ir7oB6i+I0E7McDx0S7P5Yxo9hc8L6QwHCTH+lS54SufUyiMOfHXWakFPB/v40xr4dDom0reqDkymI+1bF08kJnYTP8eMcHL1lQOycFxl91gQsplOgh+Ly2TTjCy5XcHWDXmpKmO2IxYVZF8gpwK1lnojmOcOUv2WMX2Nlc8vLDl4AnA8RgX+l56EKDixTX3KcMR+yTXIoceOSR/YJDnMiuYM2kwiYoIFwChQTH15XwkR8d0WQ9W1CyYM0eznYPj2Fvh7IB2pkxjJFgunwuCEJGuP1I5WcvnhYXzad8oEm8Ex0GwmBqrzyWr0k47a6y3aZqtqZEcivIhl6JBX8ecM7ZkgAsYH2xooM+OcaCxgN/TlHYhJA6HXKtYzisVwAoeF0ftmmO1bn1NIRs4/rTtfFOfX560y5ETSRMf8VfVk0U+Ld/aKumYthGpjvdRMYhkb/mZqTo3JUB1DsMUwCQb55HlYpmWLzdV/XvN2ckvdPeaX7N7/b+pPlq9d1PjvV3XFoHbFIENHL9NrbVd662IQALJJ/vO9/7kvZ9qluZHq2n5nmVcPopzXVPV1nW9LSej3T9514ZusGWubMLBE9vmuuUGjudBahTGgSsDCdpKy5RDJYV+iHPGUyr/9BLpkpVUbvCm2BzeishuF1lGYA2c+PF3RWsJ7l95JC/fAXIGsiUC98kWlGhDa7yVOdLY2PJw5PcO+o84nMs9L46KkssHiFGALNzo8RwPxg4OdZVrPg62b/d2aA88xADQaEYZf+bH5SUpPi19aoF3iQm6PbYI3L0IrJJjnP+VHAst1zjaB2OXwLKzu4Ovy/JzACw+7ADmafi6nAqqR/B1gBeBvmCeBtBuBbABxHETTTL1oOtaT9aetm6oKUAcfwvtcCrtrgZvzGFHbZmkDnzGK+efFTp9SRTlUqdYfdyV4HKe2x7VowIkxZyH6z+esfJVCPhKXMSEiUewg5HsRt2+kCuRnYSxCqDeGcPeRrA1nhckN0uAfA3y17VYl8fgv/8yvZYMbzK+UQGgigHOyzDEZJ/JWvNBQmZp90FVA4TG4/6wJSlx8ACT0z5GADcx7ag04BIlc8moICDTs1Y1gVRFIMcjEDzWFwCGkpfIj2jjAL14+3HRK650lj+JVyfYm9dfQMpHVRXp+Y/NjqxXJn/L1VK3St0U/TwltArT1+OkVhZgUZIlAHzFz5nvcd1lJ90WzKINjoJRyKpclZTKaRHtqS4nRvTWif1PtqeY5GCU1wMYoMH+BKDexzQtdjMZBpp/AaDDywFjCVJTqLzBWWHsYTA52QTjcxriYv4A2qt5RFcmEHiGaZ+D7xoDqNmjW4w/8/pkHTlTMVGAhNBCr5v2fGfNfmf1uONdkP29zNZSw11JIo59AOANahAbziVDDVB8ZtUE/jZ1WH9GAuOcP1yHi/ObSxRpWozsXFnWccXMH3mxR//pUcvF9vsbGgH0v8bLQnR+jnP0+nuIrSmZvJ4VkLNRBRIqqZDkib9r3Z/oGaERF5KWsQ5gKYv9DzXyJ/k3tXVrDTAAytepemgeJkqptFU7tFX79WqpPrfU88+fffMbf88q+4K9Y+9VYhpsjy0CWwReQAQ2cPwFBHF7iy0CV0VgWZYTe2Bvj/fHP/vw6/f/xrxf/spJvfuuvu7fBuvufH5owxsX3NBVrQ6YOtjgTAqjmdmoWcldnBbddNTmoh6/idLffEBKLwqCmR+y4jDPvWKxIdha8O5FgAInzsiDBriOVgBHAIZLz1RGL9CDhEknDhZt1J6TeVMnxl+Y5cXhTLqoLPttF1vIehpt353bRXtuB+iQV4u1U6+S8fS4ekkKPUgxHf2ISv3yDRy/ez13u2Mdybw6hGMgQMWoHsmqCcFGxUErNMQDHJ9M8l5Iwq6kmHDQw/MBSkAmwDV0wR4nuMNEmSwz8ABDFYD4BC1cGKBBRgXfvUoqm2oG4BgyKM+hC/MiusElzeFM1I4VNj4mnzx9MSY4niFKX6aP5rJ1am89zy2FbnCW3CjBcSbH8Sjw3yTzgBmbbadDda4OyKf8tsF8nWipyfxSzwaeNiWpB2mZSjseB3HpyztQ7sz9lG51ppxQ6xXpXtuVMBZzxrVa3cHv+JndR6atsRcBWpDkdfAzDFtdEkF/y9InTL6ycuDZMIFIIm21cy9iIN2999B8KUkhJm4Kw2GOL2rvS3MccishuYJkYwVuAMba2DmQ7VJSIbOD6gGMLWDYzkmAFCMrbwj+zgTIwSBHhYDgNwHJGtuNg+M6V8Q18g2r0aoVOF6SE15dO67B8dmaQ2vd+am1+xOrpo5zwtjiniZ62rSQUAE4jurDHuuLxPmYCGoXVUtQTgiylZCikS57jG8ZS+cvJr8iifTqbnv7pBsSAXmAa13KZ+FsgBxgeVrBiwRJWrP8XvLeKYPjcVpPa1skZtN6RVMJVkY08CugfJYqT5bR6OdCMl2NsVwdxmn8yjANn93t+l996623fsnesD+0N+3dCgyn7bFFYIvAC43ABo6/0HBub7ZF4HIECJI/tI/Ye/bnH77/8CcO54cfqef627qmf6cB/A1gvBX7YWgONFXC5g6bYbHswtTKDdHcJM3JEL64F2y0dAm5bFusESzTMqhSKbkzwtb0l60J70gEBI4L6EnMBh4eZMYJhmg71tYcKqv3Kg9uFxzmGjKa2KVWpO+i9NxB6wDH5w5mUpMN/d6G7mD7BuD4bDVKj3nAPHoUmFkwLXJyKPPtNnD8jnTW7TavGCICx/MjGKRR/k+YUmzCQjakhHMpUQFDtCoOZ42X7rpWLjRfKfMA0FSSD8RgJk+GAZSgdANkHJZkfkawollkflbIXyQGb7ruZwM2X1h3YIJNjzXGqt9evUHO/NFgg5XXk9Q30sE505XLVF5IvJTY8qVoJMZyJASzrAj5pVUrcI1Le/aakPwM69DcCBCAty//uC6XPplHGKp6Pwo9dzfTZHsDZCtY7KsyHfpWZDmcxLR2GZJggSejPHwup3rJjYDRiT5CxQTlUl3nW4zOzBiPz3AGedrLfIiqzBN0kquMNp/gZdtTtgikZKKm19xHS1koJplcjxx7KiYWBxnq6WeMS+zD3XjPx1tKhrmsD2VDQo4KbGrgxO1kI2Tr4BuDCguXWAELlclOVJ+COR77K04SAMezETvf6Jr2/5xbnTkOBm97aKx7eGrN4cSqseNl4R6DOd6COY6kLApWdjB6R2IAbwBH+UqJWILikqFB1SKNNz17F7KAAZCX7bZ157sXgUQtS0a7IcwmmaPYPeX1PK/OqwJdrmXxpR2XqqLETMdXxaSVJ8B8bQsNfMpnTZ21Y0dZS/g/1YeWVVvIZO3H/TeGavx8e1b/wunHd3+/23UbKH73uut2x684Ahs4/ooDvn3c3Y3Asixn9nX72P58+sHx/PCX7bz60W6/+75mqd4Z69nG5mDLbrCpH2zG5g8AOTRbuZkVS4Vlgc5+0OHdF+wov40jvZ+4g1GocnuUGObSe2r9Td3V4OTdbaY7c+dlJULe9glUEUBeS04FOsMAyAGUw3AKjEKCZAXMlup5g6njfAsAIJBZwOGun2zsBxnTtgeWEcc7rEChK8ikAvhCsCCD48UIuDPttt3oFoEM3MYp7goGc2SV/JgnJlSArDLSDSY5xjTGdguZIwA2GO/OEBc7GqhmyFAAiBFYgzXKYMrbmFWttF8phYExbyppD2bvmuEbE4Zrvl5Lk3o9Sr6UQpZAoMpVpOT89CqVTeckRJyrc9qunLsyOC7LRggDlBB8yKFFOKS1HUViar2QvpEMVi/DxgDHna0autU2AfwWExwsVralvyU1q1EdkGRcsk+F+ld8sObe42BAImdf7SmVQ23tAuTWSx0h8J95x7xdRRDJlEMDcM8TEakr+2dh7Uha48E6F2TBagca+SG5+mzHmIj1NadnrqXnbx/6/BFQt9Yo4Tzn5Z2x5+YI8jkWALnkiTQWwYCOypwaYDmY0ZCyg8yKk8B5hcSDxYDml8tmYbwBOJ5OxZRmghJ7LJfI0vafeixpfIvNEPv/0LrPMnnPH5GneweybwEgGjwtFmv3rfXnJ1ZfoJqwlywF2OHVYo2bQGOug5zKRT/Y0I02txNB8aqtuO5M1SCtfZTmgjXuRKBSgkxrnlcdPkIu6enuZHv2bY3A2qckn4i0ovj6l6qk8l1myX4REiCfQjsIT7bj78jZBDjOCl2vomJSmEllyR9xXsC+CxJlBxj6dtiLDdVcf6mq7HNVZ/9n/2b7q3Zm/6990r5eVag72R5bBLYIvMwIPNuu8mVe0fbeWwRe8wgEk3x8z35g+PL831VD/e9Py/hdVTOfVd1s+JrrAw07UaLO8kBIfvqiOnmmGwwRbn25eJclgwFmCAxJzD0aNMmoCb/HsRjg+Frz+TUP/nZ7KQJ5AyjAIR6hTy/QBdUKAMwqAWYDQDSA5jzS0JSvQJT0FlGZwJ8BIE1M8vAwR7MklMCiT0OT3DUhi5LDzMvMpKar2RtJbGVr1S0CdzgCPpI9QcqxskowZcZSZjhC87m2dukplwTZFADjPJxhjB/EckyamARpYKgb6xESXijxH2gEWDcodwdAgSMgzDahh03HwKJd8nVq0vDrWtGRX2UzxvyRrzHBwYV8U+C85ZWpnB9zm2v6BkM/PcnBdZcQuWwWGnzxEpzyhKK/x6XNOSVUsoY5qm5s6KyG/js0rlzmhUnLSXreIFamn8P0EQxzN0Ku6WkSn3T8ic6GjaSIs77F/jZq+g69DFYpawyA3MFv4t8ObocZ5mpdAFTQmB1qAHsBFBQwtWsBKxEQ7M8gAiAB6yIySN5eVXn0BN0obnsDx58gWNtTLkVAXVwJ+6xXXOxe+ISQNArSgZNcsPeGZBFAcuiQ71Gh19luOnEDXH2cEo3S1yYw7nKKkFyZoal9OrLSlJU6qD4lmSYSkmKjx37O3zFXZXhF6nUxx32zyGuEX3tHcHxn7aG3ysFxao6jwpB+TAyITe1C5vgBuuJ+7zDe5TmHa48AdSbQYv5ls3i6j3k2zNvSgd7G/x0d3Iks4MnZK70+woD18j5GoLg8MbLso+g6sWfAeIVpMle42nsjTXbBKK+t2VfWzljD4e9hNoMPN1dfraz9bN3Y//XG6dkv2Fv2B/YJguIwGNkeWwS2CLyCCGzg+CsI8vYRWwSuikAwye0D+4Hzh9Nfnw77H62m6juqanqT3hr1YnVvNoJdBVCiBbt8MrDMwdaiEQ8W34KhQuOsQh+U+0lnjKx0X/la1xV9RubV1qq3PQIJCtKGLovZ+o1J7BJ6eGToARy/MB7mqEm+dEBIMq6+klhxQINmNDPlFVgW7Ewf6wCQL64NGeZhkczJYEjZNdNiVZjeXO/B7ra3/3b9tz4CDoLnkvF8R5H8Cr3nlcZyJaPFdtrRFBfl/TREOzTWDmCQy4Axkadwdkuat9AUX8RY7KV5izFOx4tkABhj2EdtqmzKYM31az7j2jRpBVQtCCWqVOLQfIk07SrvYItlcDxHPiaoYMUD1FY8MhDj8C7W6lTDTX6jm3F6abZWd5lzO9NSJG5ogTdm+5BG82t2lI5/pyyKWJIp4ZmS6WXPz1eFQzvlUCJxQWHWMMOkSKuI33XF+RzsTXxPBpz4QQHk76ZFiXg+UtI0a7xOAP3KxKzHHr9l0p9vF9dXGq5KFs6sdfb9s4/kDRx79tjd5VceO57EbLFKujgwlrZWAdJWkjxq4e2AufeitfbQWXeArILPvSHXgmqcMFp2OSTM3Zh3x5ODTUhQYS8FcJyVGOE7IU8EfWlm07gOpjuG9vV6PgCcZoXiUFm/h+Z4zyRBPUNWpSIbXnOBZJVhyIt7PexmO9CcdKBRadqEFnMM5yRKTeV53Mn9aWHbZPnu8Ahm3kprdSLfeCWIqpFKYLxMXOtv2L+o6kmyKdwJXPJEinFXaN0jeT0DFJenE3LL87LMS7V8parrP+h27S/3p/2vtG+3n7U3qCm+McXvcDfdbv16IrCB49cT9+1TtwikCCzLcnr+dftYfbH/ofn9+T9bLpZPt3Pz7Y3Vb/FAXWPjK4d6HEZHd2Ino4RCollrlCwqHrjFVClLw7QPzuXRAZpsTXFXIxDgEDaBkDhBPwptPGwcsQFEX5KUCuQWYM4JDfIOP0+t1ZDlQT1hxtkLdM7BIfpKqSx4RNlvAwPayuZ+toGHmzEd2kpmq5il8XYBYTjkF6WOW2Lnrnbe7b6LCMQwcFwyF3MU40Nsprzlo97/hcziKkgmjTVBcbDIWU2EIeeqH9S3xboDQ7h+JksRJe2sAHFTT7CkSmkBMqbSchP66KWJaNbqvY7GFBDt4HgEzi/kmOldyqukqa7QcS/nqgTleqIgSvvXoJnY2zTITox/l7lJxqmNtIkhjcCabeo3uG0IJK4gdyXNcMHRIbkSbQypk/hbpEpypMUwzUBa3A6vl6pZkMuRXAGex4slUO4+FZWSnkpylC3oiYCQmhA+UDDAcz5VqX09yibIcnGyic6glgMZYOxhtaprgmjP+tiA8WeN3Pa6PEdEaq2EYX3cBfZcVFFE9QdlDefKuqmxbuitRdXOvlflDqXrUAwSY84dealfrHkCe/+x29vY42wAk8rFDjSjjHMB5gYftiH/wj1dln8gf/oaB0GA4/2hFjh+AXC8JTiOzBgNNSsZjsp4E/dpduDecbRDe6HkHOeIiixdJhEdFD/ePq554g5ybl35bkaAS2msi55A8by2lri8rmRT26hj0t8EiOvspIVZRB/I4/M0hfMTjTY77qu6AZV5Nc1lG6zt1iCB/PWpHj9fn1T/sDqpfvHk7OR37RP21aqqUJe7PbYIbBG4hgg8+67yGi52+8gtAq9zBJxJ/tHpvenfG++Pf62emh+ZD9N3W129A13XcGPHd5nzjDSggd5gfpSA+DETLf9NZp5upsYS5u1x9yKALR2EeaI8GOwHbe6giSccRs8BQENNTLBL92ZtkljZ8W/xoIpCcdgCoxSSCzyQAUYDkxBVCw0YQJNNZ6MNAMcTW1FGbIkpVTq7ZwglsToEcN29ltvueIsAIhDDLeknp1LyMHEWGE2JDcpsuO4tf25tfrBYC9kkALJgMeLvBGdFp8I4pLa4g+IYszTXBThOjVuMXWhOu5S0lwzTiJclxQLZQ786HToD0L1GzddSh1bESk0ka6az97Ojw7LmTP9K1VkxFTkEw6kpSqnjvdVquH0adkFaoWB2Yy5VG+F7Y8sBDH+A494ubpaJyRmaptVwkHAvJt5gbePi+G+Zd8rwMrO1eY9eDj5WA8FvNFONsm/43UEiB4kNPseNV/071HwjESAN8QzMx4iUpIpXAaEf+CkjY9hFotMTAfm15Ml7n1lsnmcCXkXz6GdeHyrRdX/bY4vAq49AqcMfFR8xKwfw6uPeZT44ngq2Klij3dJaNwMUluZwBQICvF0mjHva7uZbo3axfwaTU3ube5idmw0Axz2BOQNXgxwJGK1pngLELMIDJKE0pqLC59VHD3MErgcM2pN9Yx0StWDQD5BKaun2Hsm7BXIxqJwlSchswP12ow31BeVlpOBV01gaaxcMozF3NHVZzugz+9pN8RpufPvImxEBjAWtz1kWJWBwL9PyoZbX8SzFg34GrXyNpNC313rHNdelTrHPaieNb1bmYZwP9biM81ea0+YP5mb5zerMfrl9u/0X9nH7WlVV+5sRn+0qtgjc3Qhs28q72/bbnd/QCIBJbl+zj9po3/eNL7/7XzVV9xcaq/5UNdvHo1y5aRpbutkO7cGGetAm0pld1CaH8t7spjsVttewBCrMPGfX6KsBrm/g+A3tCi/5si6D4zg+SaNe4DglxSv0G7HHe0iqQCPzYGSZ1uPOKrDKV+WIIlEIxAimYZTqO/OiWqRZe3IggzwYikj0yMhP/TmkF9aBiIOdczs2cPwl95Pt7W9iBAi/UORZshfgcGPmJ6hNhiHwEeiKN9YvPaWRKKFyqGzBwEY5P6o/ALzSUDGgdtduBWsPOuPwwODXQnkvynyhpBiJrxWttwSAHZE5Yq7nUuWI6PVpvhJDdu1tqZHEfMOIFv+JkSiU1+ceMhQhW+CmnQSffTvtTHDJA5eGm5JH8ZmRwNduaZ0VvhiUA5Cg4PcwQ+XcCmCcln7J4zIlBLnGS/ObX46EBSCeTFFVUKZKAJcZ5/zaoTJNgF0kKBOwHfILniSJqJT5yAD2j8dHMmFdZS5DXkXvhHiiKunZpbHQx8Rcf6aHS00802u3F20RSJrF5X4kV8gIdSvAcQfQBPh6Yg3Jsdl357MICDJEBoAGH4iOCcsgpiprRBfLeAP6uRzgTbRbbDoxGZ7bwcb5YC2Mkn1mwtzDOapuCEpzvueE9Izj53l7gIPj3dTaCYDx89q6fWft3NNINPQuOIfhnAIyxW62cQeG/GIHnHuaA5MAyXeJBsOaJ9fljHl+i0RyPOO6bv95w7e9/nkjwBVcRBt2ApdIKX7W3gpjDokaLVX0/MK6PyOxhbM1kso8OdH6Ay+nZBIJRRjHkE6CXxP8m5q5npuv2Vx/drT513ffsvtZ29nn7OPUFN9A8edt0u31WwReUAQ2cPwFBXJ7my0CLzoCZJI/tHfGD8bvf/juxV+Zz8e/2i71n+qq7uNYfKdltKGbrDqpre5gDjbaft5zs1x1ZnXX2DANvkcvDTsBdmp3DoYJS6a3xx2MAKZ/sb6llSdHdfULMEYJu3BjCHAcmz1oQ7aUX6gItC0DjPsE4KCAQQmY0OorQnrEXESnhJzKoT/Y1M1Wt9KX5OeCJeQGVJm5uJZVCZAtsLk72HjbLd/xCIQ+tRje2Xg5HfJoptuQmQcd8W5EyT7Al4Ya4wBgOW79WChPCsgewSwXPhejLcEQb1HSvrihsxJnMoSGx0UGgdQkIbNxrLEd0HI0XADO19OQnP3iTOz6o1kHXffkxdYF0JKvOWSoxHR2gMw1w5UsdImz0Fvn1BpSM2LzI1GBNuIjpl8Ua1PFpLbGmZCcU2OZdv1xHdzBEAVALPBb8idgriGxIUM/JjvxnV8hsy59+Jhn071GBQ/nfTHgIlGQW0msdNmiBBC1bsPLclh6n/wIKYpA7b3nHJ1I4hVX4diKf6E3/LTdaAPHnzZi2/PLCITXZjJ6zJJRWb7KJ5iiMi6qOJTLyoa4hNlQEQJpK8gvQGblorV+hkFlJhwgAYaEFgYgxiCkRwZI1pFBvqgiD/4Q1cFqPJcUB5doweRQNYVO/zWC45y/KiYETs876x5Ctk/+NvASiNUCad+pkbb6eDrZ2M92aEznnHpwcDx8FVAJWSYyvbIlxb+U8hI0uoHjd3VYx/mHmxmZuBZnoOgYodNP9njOf1s9V3ba7Gw8TDaM8N2orWt21kAGbVjMLiZKp/TYJc3VOI/Tl6dl+YO2736tf+uNX7JT+9f2SfvGZrR5V/vfdt83OQIbOH6TW2e7ti0C2tT2dt/etofjpx6+d/jM8mD4a9VcfU9TtZ9o2r4aFwCKA9LYVp1UtnSTXcx7AuXNDiwRZ4a5S7sy5aH1eY1llVvrXnMEeDzjNYSRTJYzkVmNym+lcdlikzdV+gIjdW5s3lfUK64AloPdCCAOm8OrtMATw09SKDjU7duB2sVEqXgmCskgGXgSsHOm1QqcCQbnJRPRaw7p9vFbBF5RBJJRIyUmsvyF+IFiJLao+ADYslfJPsEHsBFh+lbkmyaXT5lhsknplNHNc10+BQxyB+EDT8CcQD1sjvW1P0CpPZ7crlaGlC61co2eAWtwPMxEdR8hs5LBcWeAB9Dt2G4w9ZPhZTLAcxkU6IJTJkUmXAK5XTcYbQB93UKWKmmEF2zogOhLhjT13QFuQ26NQBnQakfNXWhY2uFZoipkcgIRIguObeLtp4UgCcsca3lnNqY6uHDzUpl13fFz91pB3OsnXSGrE5h18Pj8YwTwFa8WuOjM/Vc05raP2SKQIrDSLNakEVJNMsAMeDfGlJvdep/XLlzzMKUROaAqqydoEnfUIa8eNtYjqYk9VnR+JL+QxFxmMlTxGOvZpnYhcEzpK8zj0B5HohMEGI50PKJ0xBNySKxdIzqMOagbOzs731n7EJITmCshqYK4OLANOb7mYGN/sBEyfNAbhyyfTVbXo+9dnbFfGD8XYhlp7cpzi9rkujXXt9F0fRFQEsUrFIItXnpwxLjwSryoDItqPSSzpv1sfbOzXb3jGWg+n606oCKss77qbBoO59M8fnFpln9dnVU/v3vz9B/Zm93n7U0abZZ6qNcXiO2TtwhsEbgUgQ0c3zrFFoFbEoEEkt+37z588ODTw8X8Y8u+/v6mbr+5QnUyNGCpQw59PrDCZoNWOTaRPEjLm9urw6VH7mbbtyQC22W+yAiEDrCL7jnAlftIJlWGbrH6i8r7wUoFKF6bHSqrUDo4ooywIyAHVgVJGFmJ4NKl4+wz1DjEAXib2FeR4IFcECRXCI4ngFxOOUkRMIEyW3LnRfaJ7b1uTwQyOA42IHS/waX1ERL64WGwSSNdMRJpwIlSfR+bGRiXweYEYLybOA4ngCsAxj3BmgGfMI8UU28FsIREidAi/5s7XR0DnNcMjlOFJLjRbizptqKObomFKGNRabFnZiKo525GTKZ3gN/QEtf8uAyLNZwrHRyfIMUiII2GqPMugV4BynOtphHdbDM1w2cmD/kdH+cyunNd2ch1XnfAPCb0w3nJXgFEjRZnxBXfo5dHWbn+LfgsJzaygWv2dvD79zd4HLBWHi6uFs/B54VWax53aY+iu9I1FdYSAXAJ+7+iSun2DOHtSm95BMoEUhACOK0WOt85pZMTiBnnBjybtf0xh3NvRfO+zupzMcjbEebnANNhDoDxAHBccwleg+3WBPY49ksAx3ezLT2E3tDoAAAgAElEQVRA5UFnAgLkAd4TXVfkXVLp2prBwfF7D06sPZfpO5KFC9jtbliM6x5hvHky2P4UBqRgytOi0xqsezRFzNI2uT5JtSVZMitmuViL8Loy3XZtUdg++BoiEIbcbuHqsmIuS5ekVfyvYYRLUpk2TjwHQf5srKwGOQieTKiinbDu24Nlnv+kaqvfbd5o/35z1v2GvWlfsLftvaraSrWvobm3j9wi8FQR2MDxpwrX9uQtAtcfgWVZWnvf3rKLw7c//Pr449XUfGaep39nnqdvohhGU1Gmomrh9g4GrvSbceDGz2LjOo9kO1xef4Ne0xWUuDWLa6NkENfjP4dECjeELqgndqOAILDJIdFQg5kKjcyhk27mJDDIJf0EvBDDWS85Yi9CwxgSDjCdnXioo5xDO9sAiRVnc+iQE1ctQCh/XVMQt4/dInBtEQigVmZkAmQKY03oIg0m5vjYpOoOjk0wFqH7Xw3JXFPjD8xDsBDBPoR2bZbdoowKkVcHWcC7Szrcl0GGNfu6+HsBdD6rXPSLCLlArABfnd3p1yZWtLPbvXKGEiI00AwdcfIO5YcpnFfkbYA61BIGCxTfBeJGwjDAcbQV9M9Seo8yJl4tw3UazE83zW6ypwg/jOaZFWTjCYyVJpicJYl9zbbMIqe5HWfSo+dzcE1JviDx04uERiwDAqAjKRDggIyb3WAwLxneNAFWPbqlBJhPrvean1eC494Mfk3r50QvfHbN8hfRi7b32CKwjkDaV0UW51KAyj2Q5sUgrmBvxbkc7HGYckK2bi8NcjLKUQkUBp0++YTpMVOY2O+3ky07s2k3yZOoFUCOpFsyZ5583qPx+vUCxLuxt7MHp9adYy8pPv1V4Ph4crDDPTDIZwrFYOapw4B6dQuXYY0yuXY8i2z9925GwFcorm2RQMlSaopJqgTxdV8yYlh0taZ33GMtTIKD31Nbc79q2j+yuv6XY7v8ytk7J79uO/u31ceq9+9mlLe73iJwOyOwgeO3s922q94iAOZIbR/YR+x9+44H5w8+PV4M/3ltzaeaqvnWeZq7aRqt3XXScsYhG8zykK3gKV5GNtvjbkYgDOWwMYR8Cjk4XtqLiKg6X8AIfkYZr4w6xYCixh6OahPKYcFw6qiRCaPOBowKHMCSH51TqZIeZIFrw/gTRpxgkVPSIQPkMP8jcxUAecLWXVOSQNb1ambezZ6z3fXNiYDAFEp34AsGUNAShwEUZDsGkAOpeemmuUpyYZiDMT60B64JqGS3zrhOwHQTv8O4G+ncqUWC8wAL872E3dl7eQm5ajuZ2ewRs/WSc50LkJILiS9dXL7AYNyr67LTFBNfwSDXIXnCoTiqWKgLDI0E1xJG4RarbFRxE6xzKZeIcT4A4nG/vSSBgvkOoHMzW93VklBgclvAOZmjfIvFprqiQVh6pAU9fheiKZejH0BZZv5npn+wx+Pt4h6VTNAX14IrwfHIsj5ackX9SWmBq1jlVxUUrPEv1UgQqHiOx3X2vue47O2lNyACebo4Hn/+7wSOxzN97KQxhEEgeZQYU2KO63k06oQhLyRVIDeCyh9U583yf6HeuMcB8xIetEluJ5v6xYYdDM9h1nmgiTLGKhJ0DUgNbvIpssz1jQLcKWRj3rh/RuY4UG8kbucavgu4Vs11Y3ewYXdhhzf2St5i/gGb98rS1w+7nyOCxg3oS9slvPoIeHrIx42GoFLEmfwT8nSqBFOCivJo2AdMZuN+sK5urW3qb8zL8kezLf+i6Ztf7N+495t2al/cQPFX367bJ24ReBER2MDxFxHF7T22CFxjBAiSv2tv2WTfsn9v/+npYvrJ6lD/mcaab1qWpWOZduNyFS20ZAGWOysNzMBr1By8xrDd+Y8OcJxHKgBdBMjdvd2B8ZZAj9QbCcZQmxjPV/jwt27ueMDp9j3BceobYxMZCIcomqmfJVkCnnp8L4pzUT3ZSLBuJHsczPG5y6CQDnEBpfjSRdD8ww5Dd76ptwC8jhHwwxz9AKD1P3UCUAZ91SMOc2I6106FTtrk1HEdbDpxbXE8ATquGKfEKBw0cQ1qH8IJIMfYpnkuNW0DDPJDJVGaDDxH2XJm+MbYFTh6feNXZfegXQdAnu7TWeVifLuElDPByR7HARkl1IjxDAkATyDgjlhho3ukDEL4I6Q+qIQjktVMTtSQPkFiUmCPjDNlugdwHG0W0mhsP6YEFbtjFW6a/fFaIsaaqAOnC5kS/E6VBgFgux5ykjnxBKg3rbpPrlTgPExwXi24PkgEuKAbXv0tq+scVQGlq1zd06MOKA6NB6LxbKM7xsSzvXp71R2PAJNnnuDR8HBj5KiS8zGzrnZz5mlIUaFibpk1R5MTrvkCwC9lUwCWu0knqvPaQyc9csisIBeHi4jKldgG1ZMN3Wj73WDjvYm+LiNIB9VsLaBnvp9G1nWC4zG2d0Nv9x4AHG/JwqVhqIPjBP1BnugGG0/2tr93LsNRq1XIGOB48i7Ic+Jx0m2d4FPnxZ532z3e1YEcJpx59Q9yUEioNZCI/P/Ze9MmSZLrSPCZmbtH5FFnVzf6AEE0QAAEyCaaAAFiSXA4wx3Oys582S/7Q1dWZGVnZ0eES2JAgiAIgACJxtXEQQB91F2VmRHubmYr+t4zd4/IrOquzKw8n7dkR1ZkhB/qh5mp6VPlnCWxOuJxDWdgizIne3e/d+kdX9HfuY36/9y80XyXrtG7zrndy4qqHbchcBEQMHL8IpxFOwZDgMu7B5L85Xg3/k/tbv9fckxvErlXydMGSrRROs8ZJBUG55E6v2RFmizSuR9/n8Cqo+tRCzaddx8/N3Y1D+5yrr978ANo/d11+mQ6wrZH2GEv/lXluGj4EtfjF7U41KcSWsTqQlUKgkArpEhOiRrX0DzNWT3u9xD+Jx1JqJsGufda8NrgYdtqRhQ+6qEg76gPPfsdgxx3KA9ma6ASzqkD0JX1FQXiOhJC0kxoq+HaHkklu34Oe/3Y944BgYFYLhYe+9c5ffrtfzIK+c1e//ATxz2oFkfIA6iKQTXGcnofcYWGi0yO01bmSSm26dCYAKkkKQ5IhdpRMw2+1SQEEUQtKxInQbsltHHqUV2OSPZ9Ta+1Zr9Z2od9ZOtgcVJuYVFe7yfWy91+UPuzNrHGhJa8VwI1oYpnOxRWihcSvPiFo9hKVGOQbGKgXKdG/NuHQysEmZJlxS9bJwcdcNYnEp5peR6ZJJdKHPmOBGeKTB+0eCHDpW0uBgzSXmNOQxTYemzFeorfEq/0sUWXap9hznLSjA5E+zCJOfojD+px3uR4Zobr5ImWKvsp89Wrm1ugCcFdmHg9h09lrYZ4tNX5gWe5JY0cfxa07LNrCDyZHC9igPJQkH6I3DtsGD6ZvBJbIQ431ioTvq9QpaeTXyDNoRbnzAgWH1TsR44sAy1A4YqW4UaHXVbVS9j5dqa27qmve+7nOwef8lIJWEKIT+/Uop2YdTPa2tngQE5RjnsWa+DZUMjxCPX7xpLazT3qWTk+kuPyXJw85bhxkufj2OKME4HTsHgjx0/v3EtzMj7kh9ZipV2a7t/Yxg3vDu3RtN0/aJSpE+Fyt+n9h5yWHqMeeQ+WKRrSye1/DhSyqsVxXfaOiXEfXe8S3U0u/bSr3dfmW7P/d3a9eotu0PvOub3TRdS2bggYAseBgDEDx4GircMQOGMI5Jy3aY9utO+2f9p3/V92i/il3NNvBVddDy7wIJmDOzdBRrY85OaBOKxWYEerId4pTUo+0Rlnc7bRa7aEwEknVAbvYtZaOqz7R7ilG3MQATJhGUZEdV1lfn/VC2Zgcc7YGTj7u7NGU00UlEpjaSd15L7UuVaJafYLVx/LOgWq+5qDoyqoVlvH1g5VrsWjlyVOblBVCp2jl0mBSv1+MYnDCvUQOaCTfZChJq9E7do7CZiSwWNgddXgPZkSE0IyGIWnb8UEmGrf+fqUPJxShzwZqJ79U2Z7eJEQYBJUrsNCzq7bROCZzBlsXswv+HkMWxQoml2gAM9q+LTiflsGavoZ34ehR9jjUCHMqkFMOiFsE/cTNZnvqQ5tgE6ODvSCPpinT+7ps3rChUtM51N7kWOhcjl15fYclc/jlqbE7Up5sw5cC06ltWFLEiU5ie0J1IdW3xvbr0KTyFTfQNK7yM8PlE1zkDB7s8PGQGxpeDAMOxXdMXyzqMTFogBJ2PyuVseMNlBijaLWI1CCY3KamSnlyDAZyBYqU/paCf/hHBTC+MkTAU++JSZE9hM+tH+yZdzevq+skRbDY3YfOT55oE9XciDZfdDF81RWfGW3jjqA+fBbukgPHjuW40DgSXfX8DySJ/tkUyVsobynAb78Ca2gUcu6MuGIR1oAOZ7xTFfhAfzHO6kWgoKVq1vKg3DCw2PicumWlOeZUgOrFbGuE//xRJiok+76Ue+iw6KJmb2K6mVFm49mNFuISpeV80HIcbGOgVBiSRGe45tL6mANiUlfEOgIHJ5qv0tbsL5LK8+u1eO1Z8Bhz9/RvsdiG50ILmOBEpA9Lb4YJ9RLuOq0fZFrRKU90r+fWC3KWEDHAZyzUlGmoJOykYLbI49rKGE9qAKruBLMs2LcU1wmvv+4Ui6llmJ6zzv3q6qq4CX+V7NXZ/9AW3TXOQeZjy2GgCFwQRA4rVbxgsBnh2EInG0E8nt5m2p6Ie7QG+1e9790u/1Xqc0f9xSugwDPTUep6jm8kwPZYG3hev4p/qbcxS/kBDoO6Cyo4kt0bUqEl3Ac7pwc5AU9DgrGQUPpmopaeXx/LHUvRLv8eUq6T0YCZ/s0XMi9Y3KczciJVUwVvMcRIsWex1CP4xV+xxjEqXcvE+QjHGNHFh3YMQ0PXDpII6gqiw85XiNKhEHyuU7UrVByKjnO11yGhyeuEU8O5bkZnWFRJxblJXvtg3TkPrWR4xfy4jwPBzWQ46IcFOJ34qGM+ytHDlfErcFPRPa8Fk9rKJswmCP40faOLVXqOBN7FZAMZf7HExPhUA+iPD3BsgiVGUGe9UfznJ1QRAcSEwdMjk4+B9WzUsuqBJ8+G2TIW3CRsviCk1aycHFKsVaStqFM0spmZP+G9qu0XYOdCCYboAoj9vb1fcUkFHu3D96+eNCo3luV1UWtKAGcmPsTOaYEaAJb9Q1HpZYGYZdwTRGP4n3EUZ6eqcx5uEVsHw2Bi4qAhP2Jd/hgd8Xh48U2SWyM8BkO4gQ5jvBzTIb2JP0tvIf+FZPjJbxAutHoH/Ulx4XJcfUfr4UgB7kMcn2qpD5ZrIW0hBJ+m8lxsQEr5Dh6afgPE8SFHO82EDD6FHL8ZA/AtnYEBKQSdbRVk1wOmTsu5Li23jrCXCfHpV2XUeO07S9jRPSbROUFQjxleR1rYRP5uOR3AlUUMAGFewmWQx1Rxit485QeJ0rvuMr/qNlo/uvGxuwbNKdf0C2655xbHAEC+6ohYAicUQSMHD+jJ8Z2yxA4TgRyzht0h272u/T73V777/su/pnv6fVZrl6Gc1rnO/Yih1chkyezzLYWfeqkdFM9qFFmBiIUahV0QVBfJuRKsWRZV40XCVzp6I+ei/KdovyQTnEhyFfFLBNf2pUSSiM3j/MaeeZ1TWwNxIaAC4CHECkQTGmZmDCHCoMDbQaVkwp+Crs0CXrDfhRynL124T1e6Su8MzlcSuwcuJABhBgUmFr5AA9PVEbwYLGoRArpqKpxVk7hCjZy/JlPu33huBAoz8pSQTFRNMuIT6hTXOecw6h2H3oPSVCbhLSxgrDHPYawtpotQZhLV6I2ckhbVOU4JpnUqkjrLw5/RGtK4zUV4tjB3K/Wwzvs3V2GtipJL8TzMFeqliojiVMCeXH/QwVZiOuiRde6FHj2orKkhGlm8Q5ni2/FMHfFKkWJIjzDQETp9+AfPpL3QnxzawRckb2gZBYT3qwIx0yh+LEjTY6DNFkhh+DNEr45tpUSxmeLIWAIXDYEhPguk6FCig/P+6IT0AlTtngAGY4+FMjxSCw+qDupdhHleKnQUyRBkIcs2RI1fMg7SjOZJBVrLbHLOz3luJDj1aKircdPJ8djtaS80VELcjxEVo5LU2OB7Of1vhk9+scqUrkn5IjWyakhurn8gdt3XVbGD6N1CoQzw0cmlc0sn8meGj9nIpy97hGu3WcOrA3Zp+DcvT7FX7sqfM/N3P/t5/V3mivNv9E1euCk/NQWQ8AQuKAIGDl+QU+sHZYhcBACOec5Paar3Q69nna6r+QH/f9Wpfp3kosvpirPQJDjB4oT2Fq4Sgb8peMuajywLmLEwt7l+/oJhRAvXZyi3hPl39gZB+shgwJRCqyqeFc1h5PS80F5eJode7u+mNxi9bYotWVyQyoL0PGEWpw6hD+JkrwaCDxRkfPCppKr10npBHPgG64ytidY+wHpBJYrQGGOCZpCmPM3WGor1xpTispcYRdHcku2Wkqd7XwaAieLgDwVxzBDnmKcXI6DDzX+wBYe4uPPHtcQ/nWe6lYUhayqZhWz/A6rEA5yxL2h1RcRanGuvpDyeiZsj1RTPpL74whUJznLXT0w3NOqIb3jVQGP/R0JbiGIysD56dkAaDeQ6Iv9YO+ZwTIFx8U+vmyJAkIcPxJEh0cOc9cI0lw6ntBjq28noXgjCZ8pqlVLqaLioEzgBusnKMJreeVcTzYAl0ehKMmJYoJVmSpDJ6F9ggD8f0eV28lefbY1Q8AQOE0ECjFd2oFpaPkwx4jnGuccjM9/VldHogqToUv0qyrua6FdEAX5WIGH/jmqg9rQsnI8IeMAbQDbq4jv1pGagCMBiH2tuA3bfDyjBnk1ar8ntirSlkAgkeolpbmS4xUs9Qo5bs/PI52C0/zyWmZIqfRaJ6Wm/55eq+LVXyav0fZPftRKMcXEYxTOG+ehrIhiuGI1wuMeoUYVz2lz/ymmBaX0HlH+lSf69myz/n/CfPOfaZPeo5v0yMG03xZDwBC48AgYOX7hT7EdoCGwH4Gcc6CHdI0e0kdjR1/uF/3/Gpfd53PMLzuiLe+9+I4ruQJiBYn3IFagMudyfOopaFq82AJMfgZCsnT9xfRPiA9V+07K4UpNfQn8fHoPxAI5z8I1zbpsPplSBoxuJ0gq9opk+wMMdtRiBST5EgM6WD+IJQR7RQy2AtOJEb1mNJhKwunUrgA9WK2/RKCdY+9kCbWDhz7CBSNkVSDH8cOEYalWUEpKvQ4LJX+Ko8OzcBptH04JAeZRlQUphHDx4JTnX7mGQehKRQaU4TLplMm3nubtjNWEfB9lCXZk9SFUzQh8bCR4me8RePfjd/xwlQXI2aNMME6rhAqIpUx/rAKaqhPHQGeZCRCrlMLnFN9uJaCHiqTpCRpbhlLNxE2QBglLtkGgrKQ49eInDkKJyXHYCDA5ntlbtErNOFk7zOlKFYqov3XybcUzXOxTOCh4puT4WvxbCRpLk9mH0TVsnOg1cvyUbj7brCFwBhAoz0OpYht3aEqO8yOEK4cwjSdVm+jiwEoLft1SOYSZOJ0ExORpWUGNeVT02YUcRwBwbiR/AqICZMacFtvHfURUOrU1k+P1Qip7sGRU30zI8VgvKW501G0sNQS6kOdGjp+By/jQuzCIwNfXMJRrleSRVWv50ndH+ynWO6jWchSdvErOEFwWYZniqM6e6uyogjI8ghiHnVqgGGtKOVBKeZcovecq+mlVhf86m8++Vm1VP6db7Cdu1imHPsP2RUPgfCJg5Pj5PG+214bAsSDAJPl9ukIdvdg+in+Ud/p/73v/Ferday7TC2ASmHhESf4sUVt3UpYJmwskfedOy+BWyXFmFdh6RdR0Q7koaFS1w2DV5EFBOR8iIGh0JLdH2LFcCIdYCUipik8uFN6wGIBAW9SbEJODlG58zWXA8MoEOV538MlEmFQZwBW1Z+nurp5PIZRUTcqa8HLBQDneE80krBMKzh4TN/Ajh8qcqxGE/Cs/opIS30ImIVnkuTooPQQM9hVD4FAIYFAnSjm5HtkCBVUSem2WsnsmxWNNgf384THuKGOQ1wbajDMpvmCLcSjFxS6F8yPwjMbkEWyIoB5HVRDbETH1y9tlouVDPG8PPsCnkeOlKmOc9JLtPOl5XaxGeEir+QDFrqs8G1ZpHKjCa1igJC/ZAxx1AaWlqihBGEFhrzZgPEmmc2t87AkKe5Q+yTbZlmkgwaXdg/KSMVMvcQnVlGcSzpUEmsp+SQWNHOMQ2qkKNsFPLGTGBc8eswU41M1jXzIELgICQ9WkhjLrMZXJUZB8w0QpF6PgPyHL2XNcwzlRGUNQkkfkUOBHK/MgjlVyHIrxPEf1UM9tA7cV3O6cDpBS2VNTtaxovjOjZlmU4+hHFoLTSQB70yo53gqxP5lUPp29t60eFYH1y65MHq9P1pQx4upYUXsS+mHcJyDF+WfS1uJuqVB10YMYJ6p7Itcltk9Bc9258DB7/yvy9D1fVf/d1/Stzfnmz+g1tk5BWZothoAhcAkROKVm8RIibYdsCJxxBHLOm7RL1+gufbp/SP+pfbT887puPpZduhl9vxXhS173lNX/GVYXEmwIMmMSiaKEgNgE4P2i7piW4Y9doNXO0AHl98JdDMuBnaozju1F3L2iHAcRxOGZGgLFnVNcA8wtSUBnjYC71kuAlAZKsdVBrjXcVcgjPtUTtSXU30o9DRCybQpfWwhqEj9NKDi7WjzzoR6H9UGxLQB3xTYvqjCRjrRcUqbcvIhX5vk4JpDFyG9grkOJcbYH0spd8cpGyG3NP6GD3ywCo6AQhNe4p7ov9kTEFRPwl2WFOIgQ2KiAEGePVtgOjb62hQ8/HuX4frxX/MHXCPGpkQzfp8Vrd+I3Oj4NhDSSf49+pPg3VPShlUkD2A6IOlxV4gjWUjsCCc3QJgSki9qb8DsZ7ZfYpLA/eMCMX5bJBQ7VBHYyaSG+4RqmWSxStP3j/dPRvTy+yj7Lc6csSm3J80sp+dPTbp6P+8T20hC4kAgMz71SDMdaankscb9nnMwv1snoG4mdhFTEcAA6sif0J/TId5GKPbGrEnI8crsgoZxQjqOaCP131H+eFjkuPuo1B3LOdxuqQY6rJYw8Z2WisXM99bOW0kZP3VzI8TxM6NrT87zeG/vGcdpGT63l+ArQYaNU2snRSogt+jzyWtpesXYsgpiSMYI8FkeuI64cC8kvfXb3o8vvLvzy22G7/m9bV65+gxy96150j84rnrbfhoAhcHwIGDl+fFjamgyBC4FAznlG79BVcvTy4l78CkX6csrtl2LqP5opvVBsLXwgCjW0t0IsgERgH9ZJCJlYCI4KcXXIGDruY6higa6o76b0SOn8aMdoDeXTKgu9ECf7CAdROq5YxWAHwYofENxJfZAdVfCVRPksVE3sP+4ot0iKr6hh5StsIdZI8fX9wkBpXXTpoH5qhQAEOd4kahsQhPBThrVKYvKbSy/ZvkHKL7PzagGD68qUm0e4BOyrR0CAXfH12peAWfHO5+cl/w3khxDjdYcKjECu9eTg38+hkcx88ALyFtc9k+OzyKHKrBpXJbmE1XJ0rQwui6KZ1c5HWZ40aynP8fW1jyJ1mTSVQGaRvgv5Pf4wrTz8W8geVrorgeRzRXkXaslKVOCIIMBkAiybyuxXOTQtVJm2T9i2Q/UJpPd4BEFErgpxtg1jBb5MXEj+QQnMI4JdCtoydh6bNl2T3IwhQ2MFonECkN/Gfh0FfvuuIWAInE8EtFpI+lGTCrcyyQabCBCDAf7aOpWWRIyC5zdCgzmDogM5roHMIMchQMDkYMb38ewSMpzV4nUkKuS49tlPK1mQyfGuprqtqdmtWQUPcpyJT4mwYYs+kOPdrKW42TE5znZ6yugPWRXn8wq41HutLaH0/Sd5K2O1xBjUqcVaZejJrSwugQ4FyloBhyo8TArJj0wQpS5xH0mqymiPyL1Theqnzoe/znX61uzFze9TS3fcy27nUp8MO3hDwBBYQcDIcbsgDAFD4IkI5Jy36C7diLvxjcXjxX+kNv+Fi+6VQP4FT75ilW9wRE2m1GTqqo5a37IvOTqxUOFxZx7ERZaOCzr0IH5AlHRQ52GQIAlqE5Xw6qNpWvpvyvEzdMEOAYJjaCuTb4WG4yApsT7gAVsURWfu4D9eUbNoJFBqkiovveUiEXlKE4XJmIzrrKceROAM+TqJ7VVgucLkl9DhHNwje4XrDu8KpSVFmEZPnaEr6tLsikTGVlwpAVKcVdQqjQIJzMpwKOsQurkUYhz+sriP4D+L6gxWT0H9ByUglOINiPHI9wDfF0zyaqWFkjBFXSU3gBK+h0a93J/lfh1TBEYyXnImpveZ6B8RloX7sxDjxU8XFimimq9h3KQlKU6D6HDL5oTJN3iGzzi/gGMI4MPL+QLTTRVySAM0WUkvCnFgHthyXCYmmERSuxT5XVSVUyXbOEMHMgtk/ETNtobhqJBfPfbysbGy6tDg2xcNAUPgvCKg5Dh2f2r/Jk4ropouz58iPij1Jvro5ocTgpq5igbtQi8CBJDlKIpB28JEM6zmalTEwCKqhJeXjIrTAZAnMruGbVXqvYZqEPuaQZEyJi4d22XBMq/baKmdL6ltFjxpibZBCFJTjp/O2TuOrWKSZ9L/QF4Rjydgyyj9iQAFFvJBdNIE/XiNuWIHtQWcT5ynWa6pSRXV6B9BQLCEZ0qmytc5pXS/d/F2H/KPfVP992a7+R/19fpt2qb7zkFPboshYAgYAqsIGDluV4QhYAh8IAI55w16n65RSx+nHfpiu2j/c2zTZ2b1/OW2b7eWacnl/DTP5De9lPL7nrrc8pQ96BzxqAbpAWLBs69gh5LPIROuEKz7d2csrZe/4cFVKE2jNj/w9D2XD5Qsv2J7MjHWGUp/S5AUW0SwNBN2K/AFdlR1FTU7DdXwUR6Iu+Il+ISmaYVkQwih2EX0ITNB3qF0mO0kesqYnGElrqitZBGPc5Dksqwwac8FJ1upIdx5/isAACAASURBVHAQAqKA1qoJJWcxWGQvcgRJ9vCUrajuYB8Ce6LAtiEygpRa4g4kOCxBKiE/WB1YSfUEe2VD/czX+FSZLSps9tmG1cqhJ4eEwBnvo6L2k3uKvf2hsGYSf+0pjbBcfLHv2UWX/WehhdQgTZA9ONaEChO1SGEvXQySlTEalNl6GxcFJt/TnGshivASnimhvWiXxEaFAzeL1Yyqw7GXYyhqCZGW4xw900vpttgylVLvlXNcwqfLm6uMvT55ZL3WftnzwRC4hAgMweCF/NPKGFWOA5FiVTfN6Zn2WVD4450IDxDajOo8hBCz5zhECPwBPANhCYXnntiplGqY03z2VCAz24b8XkXNUkQSQo5DLBOl3YD6vU7Ubra0nLdMjmMyE5k1eB6znd8lvHQuxiGjfRVxikyeD5Ia7qMXG7VSPSYTSKOaHD2bFFBfhhwjR7Qkor3IooK5n8UmNHeWy71fV031jbBZ/Tfabv6ZNuldukaPzE/8YlxBdhSGwPNCwMjx54WsrdcQuIAI5JwrekBXaJc+Ejv6g/vv3//fm7r5bKj8K9nR9T7B8TmSrxz5xlOfWiYgHPdqMjkmI5IoWlghoASB8ixFpbdOpkzDWNboGCMXTuk6k2DLwtMVL0ylnofczFEV6hyYKs8DHnyq7muqd2omyXmEA4VI8QyU31ZF3SXYVTvTvBZO/nTUM0GeqAX51SQuHSZ4L7t2sFiRkE5cPVqzq1MshycHTwl42+wFQQAka9CSYvHeZquOohrvKnJ7ep/0tVqw6LRgFqJ32UgYrauchnAmCTBznZK/cgsV4phDKdl/X94fyfPDQFrI8dUnMiyVylJsVKQyRIjysmDCDANZEOJ4kJTATLYI0GA5CdQEKa4EOj439RyFjQyr7nXOAIGaXkM0oUpvPB9jgsKMSaFRoc8Ufgl2090anwVlP6fEuE4qaH6BICg2ONNlWEdRxU2eW1NcitWTNWCHufbsO4bAOUdgIMcnnuOqnMaRyUTd+CqziauT+ZJPIWQ4P095AlGqbgbWGM8hfsTKsw8Touijs2mJOz1fJ5Djs+WMwh7UviDHa/GX1iwItBXo3qE/t9zohByfCTleRyXHTzFQ9Jxffae/++jv4PyVDCEJK+L/mBwvlmpMfxdbNXVhw6Q7W6g1lNpMOWYKzlPtqx1P7k7btT+PsfvW1ZtX/w9qqp9SoLtmnXL6p9z2wBA4LwgYOX5ezpTtpyFwhhDImYs1t+ge3Vgu+s/uPd7907RMfx5c9cngqpdyTHWMHTWzRtR5KOXkHxA3UuoPVSEK55kw1fLIopARP9qRdDBy/AydfN2VgRwfDUs0PKcUBctYrig8Ra0Nxau8QilU7VZsr8L9YxZ5S1UBSoWn/sKySVGYFP9N7kqDU9SATQRPdSDC2F4CnsuJIgI74UEOm5WiR+FOtyjHzbPy7F1Xl2ePRnJcfMY1aK13ElwLtfgCoZs1gUiQSR1c8BIU2YWO2jkqJZQch4pOiQ8EcA4sslzoq57evLXjUo6rCnx0VtFTOAZojhNd0uXkKSpYbKlNDKscIwa87BPDzwFUmNS+EtJ8mDXVqiFYq/hIfb3kCiUOcMPcW+U4SBNqelaIMyYghdTbXM1HhykDVu4PruFDjKZMosn+y76XyTr1PFdbGFZjTrSLo6d6ab+UKp+0ZVMqvZSLX55r3o7UEDAEykMQTw88XlQ7Mj5vJj7MQ3yCkuOlLzxWuRTPcrWl0iqc0YpQKzK1moZtuKDMxpPvFMlxVAyyrd4C1mENW8PIxKcEJRdyvG8SLTbR1sFWZcnP8obD3B1FI8fP783E5Dg0MWKtxguKubg9lsnwQoozUY6uD9rdCHEViX3QXqDGNb2v/P0ude/GHN9ytfv/Zldmf1vfqH9B2/TAOQdNuS2GgCFgCHxoBIwc/9BQ2QcNAUPgIARyzg09oivtXvta96j7y+5x+s9V9L8Dktw7N2elOLxeueS/41cQGOgZcfknOj4sYEGpO6iG0b+6EOSFW5jq+cxW5ZSvx5IuP1BhSoofWKuLElm1d1D1KHsK9zXbRbCQCYrRDqE64p8JRWlRj8gm9pPjINV4gCd/pZ56iiDHmkhxhqDOnklEEOS4DiUQFj6dsvMsWj1lGG3zlxOBQrqWa5vtVODND9/Y1osXa1fLv5nEBeHbq3VKT13VU5zDYx+VOWJdAhUWDza9BNhOVdyj7chohnI0z1YlkOXm20e+c8icKr6kehojYYkTYIIH9+4Sk2Fgtccyarmf5f6EtzgvOL7hMhEFOk94QTmPe5vV4vBe11BNhM3h32hNtHR7sH2C6kwH4s5VY/qb6tbKvihvNQ7cR+ZbnjfFn3xlz4rTzNRLdfX6LsfB5JS5Ol3Om9+O2hDgx6H0aNnsrTyXFBnJJCjFc+NQnfswOrkJa0JW3hbFOchF9K/K81T7WvKYEQut0qdGf0xqiE5nATk+X0A5XpNra86mKeS4WyPH97bEVqVrlkSupwbB7iDHrf92OifvuLYqBvtD30Emi9FvkAqICtWmOnEuBQWZUsqE4jQf/e5GnD3q+/RuCun79Wb9fzU3m7+nQO/STbZOOU3XoONCyNZjCBgCp4DA6bWMp3CwtklDwBB4fggMlisdvRQfxi8uHi/+i4v0Rs75leTy9eRTxaR47Vjl5xDkqcRFERULOY4yeC23U1HftJuz/tCyHtDzO6cftOZVQ4XyaQkKHBcho5gcnwwAxWVYfMjhL+w6KEkrCl0JHqx48mQaxloCBGWAB09NLioeSSYHUiwS1EZt01HcTNRWLfWwX0CQk4boVZBjkQ2uPuj82t+fHwJMjvMcIR5y4jvLZfFdoLCo2G+86Rv1j5WJnC60FEEINz31NV5FRS42tfDgFzIFBIl4tpYwzhIPuR4TeVTP62JzUny41f6ES/vFH5wtUaJ6hbOJrpLpCNDk8njJAWCSqFSGMBmOwN3I6m/cuNJmFNk5OG1UJIlNgIRnjsp5/l0lllIxooS8ku7AWhY5fpmoKKpwUWKutjNKdheLFK104sfIIZbBIeEQ37WvGAKGwEVAAIGb+tzjfpFQ2OWJvJ8cHz3Jhz4Rk8NSnYJn/Xp/TNqWpy2n13tmcnxPyfEO7Vzg5z86dR7Hwqpi4r7c3lZHi40ldTXI8UizQo6rtd9FuBou4zGUVpYJ8fJT+gx4TV6CZRNRimyfAir9HpG74yn8zFP6u/nW5v+otqq3qKI77iX3+DLiaMdsCBgCx4vAIbv2x7sTtjZDwBC4WAjknDdpl64v7+y84Tr/Zr/Mf9639ClK/iWX/dXga6IqUVvvUKo6qWwPon5kX0R9LbYXRo6fvetDlI9KfMM/XpPmM0i5EoE5lAKXGMyikJIBXWQSL7B6HMQ4CMEAcrANFECUI4xvlE+JoJR/wLAJwQ3VOSswy1vIpKp7WjYd9VuJlvWSukq8iQOsfFKmgRxXS5azh67t0UVHYCDHOVQNvpqBfB/ItZ7CsiK/rGieZpwni2seBRYdrummpX7WUY/QWfjqc9mFELr8Wm6SAUANqIROUYMhS0gnS66PoB5UK3Ehk3Uw66B+hwcuiG+Uv0f1wuVS+OIvrgQ0h3VKcKc8++X5D+Ibk1xw3WLPcJDgHCYHklzaB7An7O7F7LY8cRDQW36Xw9dnhNqkSDpdOWZ48fbDg2PAb7CCEuKI92cI7MTvGubJtit4Pu3XX0p7pWT7sL7xii7xB0dT7l/0O8SOzxC4yAgUchzEYCHFQXDLRNyqalys4AZl7RDmMP1sec6v2sUVYUIJFGbCXGYEtd7udAjyZo0ch4c02hPH5DhsVZQcn2XaVeU4bFUcGTl+Ee4KtkjhSge5rjGZzpPWMWvfQS3WkgMx3jryD7wL71VV/S/e139Fs/jN+sX6bbrC1iloyG0xBAwBQ+BYEDBy/FhgtJUYAobAQQjknOf0iLbpMb24t9v+Qb9Hf+R6/yeBqtedS7e6sFvDjxzEeCHIWQXIakAhIZgIHUgdDa7jGjs8viAlLKWnWq9/YMKZsqpKlowPvmld+34V5TAGGdY5GUgoAXJZzzyjz1YpqnfSMuEpOa6aJi0MQBnvKjne8zjNUZUr9lVGOKeQ454VtCWYTwL5RqTH8yJe5UWNyhuqMvV1pGXdUtzKrBwv5DgUSaweV1lW4rJkWwyBk0eAn0Fc+SBl8qiiYAuVZSC/wD1QUw3lOB514JRroiWIcZSXz1shxx07yKpXJ5R3WmlR7Et4ooo9TEaSV0vrMTjl4DasXG8u+ez+WMqh9JlvdiXhMaB1QbxAlfTmAM0I2yJVi8MqCWQ5MgS4CkQGwvL4ztTBJoZ9u9krQNsA+IeDDM9MjiNgFBNb/Mpxz/AQFz04MisKqc2qw8GoQA6JvUmZDAIOsgGezuNjBgnfTchxuQb2KcYLYc8WLSOBj3V6WAGs2a0Uf/VRjS5rPajIO0IRf/KXnm3REDAETh0BTAyWZ2mpYSllNWITV/pW8vwYyXGedtNJwUKkl/IY0Qmwm/nq8wwybG5pJmryEhp8ClhAOT7bqyksavItlOM19+bFW1r6+ej/d02kxVZHy1mntioSyIl2Ecr7y9x/WydwntiWDBMh44mWa0jaRimo0gnmoaxpdW0r7doB18sYRF3GY8P8i16HYzaJVHKhjwBJACaYtbJLrVNAkOeYMcX+MJN7jzL92LvqG/Ws/u5sY/YWbdP7dI0eOsdhIrYYAoaAIXCsCBg5fqxw2soMAUPgSQgUorzdpVfaR7tf7Xa6/zSP9Rshu5ezd1usogt+9I0N8CoXn10Q6FD5ZSeEkMgp0bmayStIBiaAIocNqYM5WwtIB1DoJ9Tmj/+Gd60oB1m3MyieRW0oHM5Y6ird8LH8VXqUR1NenuerZTQmGDvD0p0+2FZFRnprtg7qqSkDP1Gcit944MDOfq+ngOBODJxQdssEW0mrIiJwW4VUY1FqpD70TBzCd5zmjv/NoZxlomU4hxyBaOTUeb4Iz/G+81MG13+CF75MEIEcD8vAIWV1P6PQaVgtru0ZUbfRcjDZslmwVRCHQRafTp5AmvyUQv2hGkctWLQyhz09I8hlBCKDTgHpLKQE2xZx/ifuEC3nL+XOxRMUAWpdYHV4CdTVvFBVOIq//0DkFIG32r50oaduoyO84jnNNfU8UyATpXj2gvofCOmSRTENalabFLkMVp8tq5eGPq0mdirjhOvTvlfWMvHq1W3Jk06JpjVWomj4D7o8C/dQdsXI8XN8E9uuGwJHQmA6BB+tr4ZnQvnztCpo8hwdnk4DoVmehJNZvskDZv25dJpTc1UKNOtm5HY8+WVNszSngO54KeZBqHITqZu11G501M+Rs9HyZCqHdg4VUpeTxhjO5dosSJlS0a74MMUyhs8LE+1TRT7OeFzEfvTTCfShr6y1V/wVtUibWpKhP1/g5/63XFFlaoZrquBtr32UwIS89Cc4W6itWSWeUqQ+wh4uIzPlMfn8gDy9m4j+qZk3fzPbnH2j2Wx+Q1fpsXOuPdItZ182BAwBQ+ADELicrYpdFoaAIXBqCLA3+X3apo5u0YP4JvXuT7ou/kkf+4/GlG9R8DP2I4c9BnVMkFOdtaw+UnTdaCWgykepFJUOHojyMkQoIZADKa4p6FLyjs/1g1JSnWmLQ61QIDroGP0gpwQ5yvqFSLflqAiM3sUg7VhtinPbIpUeFitiszJYNIiHi5BySo5DVdrjB6Rhkyg3WSdXIls0CDk+2jdMTvBRd96+bwgcCoFVcjwQ1HR+4VlNB7/x0NeiekZVxiwO5DjKy3tYguigVZSF8iwSv2yd4CtPQlUIluufiV0OpkUgJTYhxDhbtAxqQkjziCpXUU01k/dQheeOKIPA6ByT66w+12Wq4gbh3UdMZo6qcLZ1YT45czDzEseByiGeKFD/7xK+qar3dfJ4LNiRKhRbDAFDwBAwBM4XAujfzfqG3K7nSql52uC8GSbH8VivicnwftbyJGqcRYpVTz23VUKOi+Xe5ex/r0x06FyBtKxlYT+vCTk+in2k/UcfG/0LqRwTTLV/rMp96SOrQdgkOFO2gMqx0SGf4695PWKThoVJcGQL5UAVhEmcL6TDLlSVxYrfQ4h4onQXhLir3T+H2v2Nr92/zLa3fkhED+gmk+KXuUjgfN3ctreGwDlH4HK2Kuf8pNnuGwIXBYGc84we07Vut3ul3Wk/n7r0F26ZvuAjveZSvlnVNXtZ9y5RDx9aCCnB59SeKEAlvqcqcpYcjh6zK4rCCVpK/LDZQAlt047eEMKmKocxkm1V3SNrm3QmL8rJOI3jWLFwkFJh6bQXJXngoE6HAKbO8av4kEuaPZ8zWBM6IcB711GqErkZrpMkP6gmGGx6im2EqrQu6cDqNE61bfMJCEB9xcrxQFDTuYUT9XjXjMpuLyo6Vs9BSdcs2WKEgy7Z778Matcmf1RdJ2FXuF8wQEUULuxFRtuqohobnm2cgemYFOcJKUxMITC3A0FeiZc4ROZQva945MLH24lVCpRkUP+xZzgmN/E3+YGvEaveSyBzKQaZPGoLCX4Q/S1/M3Lc7ilDwBAwBM4jAkyOx4bcniO3CNTEGdWoZFL3aMzbLsMe52vEjShB1Ojzoy+n5Ov+fI3ziMTx7DOazlK5eeAaJ0S5/B3tr1TZytinVJ1ptW3J6xjyg9TfnkVDJeRaGmxRpU+rq6RfUlNFrnfkOkcefXeIXGCfiHRtyrTX7z3OPt92wb8TavePoa6/trERvk2bzbt0jQlx1IbaYggYAobAiSJg5PiJwm0bMwQMgYMQyJBg36Ur5OlGfLD7e3Gv/3JexH8X2/QJ58PLVFUz19SUQiBU8XcwAXBLqjZaItepgttTylAhqPkJSCco0KX7pp1BFPwhmI6detmzEN08lP+xqJGJcXkdF/mMdAJlTUVlof+yk3oYBIptTbFJmChTJKDHsw8zyDlilQlIcsfEHNQmYiEhqlUQ4NH1EuJXZcp15lcO8mNivKhaiieL7HDxUTzM7tt3DIEjI6DML9PVXGrsybVCjsNzv9iecNVDkynOI/UNvFdbvub5XmByfAwxHnMaiupLKjGg8Pbs/S0TSyDEO99x+CXrzCf2LPgM1o0cAExOYWCL/UIGANTmVamlhoRclXzFdhzkd+RAzUTUeFaGF4KcX3WiCk/Viu2U9AmNUM41QD/YesSU40e+Bm0FhoAhYAicMALIpWhAji8dOUwGI5A9ImRCq4hCoq5aUt/0XDWVGglpFuuO0mhcbgpjJXtnpSksuvIDZpvLiMijv7zgCWqeOF/rH7D9pNqGlUDq0rcoFi0pwlZFAqnxKuMovEofIy2T9Be46gz9ePzkvdyle9HF27SZ/8k17m+rWfX9uZ+/TQ3dpxdpx0lyuC2GgCFgCJwKApe7ZTkVyG2jhoAh8DQEcs4NPaRt2mlfio/SH8eY/iJ19MUY6dVM4YbzFbkQ4LdBudqjDKNC51WxKD61UJtzcBuLyYv/hrwWixSO/XGQoWvnjr3xJBhpcGZhNYRS6ygX1J/SKfWs+rTzeSgElBwfJxqKv6FaQ0BBjk42CEOUY+qrBHA6VsCyQT17nCeigAmTyGF+hAoDEONMGq76Fss8R1HLDHKaQx2CfckQOCwCbOyUYLGtA1melJMJIJSXMxndVzx1xyrrhiiCIICCvO6EHNdC4yEfYZKTMDyYmPTWKovBdkUm+NiaxWUKIL2h6IqNhOL28pOWxPddheDNSck2hHuResq+5fuNDyE4nozkiAdVioPMEKJcbI1QEl/uR/4KB6s9pRs6uT3tMXvYK82+ZwgYAobA2UIAbV2NQOPWkWtFVQwLPfT1uDIT/bk6Uqx7JsZhryhthwQty3Karumnj6f0nafLNPSy9Csm1o+sEJcFlWeYfACmPHmuodkSni2+4AXjMdBb2m8OSyX0AVC5CWsUzwQ4coLQl8B55Il0+JlHohhjjjE+JKJ3nXc/r+rqb908/P1sI3yfZnSPbjIhbuGap39J2R4YAoaAmeXaNWAIGAJnGYH8fr5CFd3s79Nn293FV3NPX6Xe/7Z34SXn8ibU41zfHzwTovAp5xJ+kDLw0B3IGOnQjUpv/O4pZwmkK9GM8LDl3zU4sigkirVhZLJmDJw0cvwIV88TyPGpxyFGQqxD4SDVQvIJOS4/gRUr3FVXywZRpoqHcsJ7UwscJcax14M3s7FuRziJ9tXDIiDkuPh2DgXRSpAXCyFWWyV93uC51hClWkJn4RAuiu/95dRjzGy5uHUbAw+t7yMDE5NQUO2BEG9rqrpaXlNgb3H+ilq7JgQk6wQUByVXIMjF29QNgZoazKUe5nwfDhNUoy8p+5Xy+kdynIM5n2GxW/cZwLKPGgKGgCFwRhAQP2qQqLDMK9WB6MBjB4UczxWsFOWVrbpYMT6SvcXO44wc0snvxsSWcNz4GkGuFZmlES/oQYHP/QiEcxYryVI9thL6ihGPCEw4anPwJke/RCwOOVwTliktKt5QaSaVZ4HCbsrpTnTxN73L/xBm/u+aq/N/qq/Sr+gKPbRwzZO/ZGyLhoAh8MEIPNtI5IPXZ58wBAwBQ+DYEWA1+SO6Qh19hB7SHywfL/7jcrf9Yl1vvJJdvkku1xzGCUsNkOUgcTxUxKpcZN9pKE8mnrxs3SHKTCaTCjE+FPdPo23A/hTd+YTMEZOVYz/eS7PCFaXrFMpSNivkn+eSzcC+Nvwfp/7gR3zmucNeQoVwnlE1MPFhHvEcz5X5VV6aq+xMHuiUHOdrFc8fziH24iUOKyGe7ROlHFfBgCQoPt6EcmixgSqEQRGSjU8oeT5N7wWussCAGLZFfS1+4hp4G7qKyXGovvAYxeaxdFB9h456kOFNHDz9EYDLSrJCcMPTCluERUrOFECYj6ZUeh5wrwrhH7UyR74kf37WTqk9fc/k5W07ZQgYAobAExFA+4e2rlQEFru8kRyXvrxY42l/jpszTChDEDF6XV9qmCcT3vt15NKijn0EwU8m1acZTaWPIBMQw6SDrrt8f8hlKvYpUSs61fYQFW9VrHoX/SOX3ftt1/6qmTd/3Vxv/oqu0I/pBbrnnNu91OfLDt4QMATOPALPOg458wdkO2gIGAIXF4Gcs6fbtEWOrtKSPrL7oPvjHOkrKfafp5xecZRvocbPod8XEvkmcMcavrcc6Kk/IMmxSFCdRMrJIiRrWURoLIQsszkcWjM+NrnTbuT4oS44LfpU8k6wV2ptYMqQYq90uHgbMq9WzoHjkk0mx7MoWqA8ZfJPO/ggG6cDhmmDh/NYvOQPdQD2JUPgCAgM5LiXyge+1kGOewnGopgpwPapkOMg0FEJwYrsJOQzSUWF3AWTRe2hyvsrzyitnuAS6D0hxxHkwD7+bHOi23eO+gx1eKZURcoobZ8likGD0UKiNnX8WMR9N9yf2Cj4d1WfyWsZkI/7qIUffCyrz1sh13nfsV7943pndfLEPsJZsK8aAoaAIWAInDQCpV1AZ72IHcTKQyZU2eeaBS3IB5I2As0CPotJY1QqsXXiJe1/r7f6jMPUj12FJ2OuzuQbGtDN4iD0g2GTwniP2TwF15Ltg34BZ5Fo/wCe8XnZc6Znjrn32T3yme578v/mg/+ec/7v51fn36KK3qFX6IGFa570HWbbMwQMgcMiYOT4YZGz7xkChsCpIsAhnu/TFgW6vtjrP9U/br8al/F/rpL/WEX+pSqErT6hbDByaWasM6UZSgnFA5eDaLjTLd1A7iBC8ag+AgMpC2KHA+1ApJdXR8iCRKAd7FtseXYEBgV4OQMrAZ0jTT5d89SCYZy0WKkBHYjxg2jxVYtGGYiZ8vTZz5194+gIyKAVs3hy/crgdkIUc3XEdDIIc3MykGVTKAxwQWpDVa62JSAR9GnGFENwCMaCukvK1xG6xYFnyTEp3rQzVu7hWyAaJDAzUtIQzTBHALIq90BUQE7O84SiLmNygm8qmYUaiOyJt+lUuTadWJQBuaxn9R5fLcYxcvzo15qtwRAwBAyBs4SAPNchTxDhyUoln7aHo4JZMmKkLZF+OJt8DFYrZ+nITmZfpv1nRpIxG/N1eC+Q/zEatJeuhkw6cxi2TK6vZpbod+BUSBqmCRIdodzIQuk9ZSjGs6PGhZZyuten7j1XpR+6Jn+tnvtvVlsb/0q3mBA3lfjJXA62FUPAEDhGBIwcP0YwbVWGgCFwOgjknGf0iLbpMb3Y7rR/0O/2/yEt05eapn41UbqFWB+2I2BbArEmyK4nzyQ5FJkIkkNAp5Dj0KNwh5MDN6UjiJ+Ky0DhNoDPghyHt7nRq4c569K5L+SeDJTGcE7VrezLy1xT9Ssptz8VdZ1wK+Td2OSpNtXI8cOcPPvOkREYyQA2/tZy5kKOC+G8UrkiQ9vRdZUn7URdXbxAy1VfVHkBk3pQg3NIloRsCkmOsM/AgZhYIbzEEc6J8DOEoHVVywrxjAlFbIQV63rIWtaOf2EycWUZDdD34TNMbE12shD96x+ePlKNHD/ypWYrMAQMAUPgDCIwrd2bihWmk6ZCoE+tPaTaE+S4TiqfwSN73ru02n8ueK2Fz+vceyHI5VWwxPdZga/eaaNdoc7RsyAIfuISrsnkOPoSKfSewn3v6M5yufxZVYevVxv0jWqz+jFdpbt0nR475/rnffy2fkPAEDAEnhcCRo4/L2RtvYaAIXAqCOScN+g9ukpELz94b+cvidyfhOw/7cm96Bxdd0QN6jOzixRmIMLhm5uph68u1JEgzisRdfap054iLDsQXKOBnex1APVKoAx5hi3PjMC0c48vC/lWFLSyOlHTllU/yUjhoMmJsWnT1U6C/4pmqWzjmXfdvmAIHAMCqpYbhNLTySG5+svFLxYsskn5lufnEib42E5Ig2uLGgwEOAa11DomwIUc10EuW6cUciFx8BmU4gg966vIgZ+xgnVKL0ryIchYVHuD0o8ntpCCPLDm9TxGKAAAIABJREFUg6XRWN5dgpDLvo/3anmSHuQyvj7feBBBbrYqx3AJ2ioMAUPAEDhVBKSPN+3FlYlYV8hctebi9m8ImNTg51Pd99Pb+Icix7VfLZhJ7wH9iPJ78DUDn2MmHx33Gapc1OKeYhspZKk+o0SPKNO7OeffUM7fyxV9e/7i5tco0fv0Gj2ycM3TuxZsy4aAIXC8CBg5frx42toMAUPgjCDA/uRE23SPri8e0af6h4uv0DL+WUj+tyuqXgyVu967LrBVQHCc7QiuJ0JhDlsBeB2qzQBxIJD+UE85R1Y9hzwn9lex5ZkRGMtCR3JNKEEdJg1k+XTV62T504hxHQKsfGR/k2e6/2c+dfaFY0PggC7Y1Dd02M6qxQoT1D5R75ZMkodcsaorJA3YjIFCL+S4BJ6pp7gS66DGmfieKTEe1N9VLafw3ONAYw63ndpGTcK9EOiZZ2oNUwJx8VlRr7EnDPvCCA0u9MeoFJR3McG4f3KxTGhNYX5SZ9Xu32O7GG1FhoAhYAicGAJ4pvPzW63CJnE+QuWW7l7JrJAOomYDSWtyWZ//q7Yq48R6sSljmYmCw8GnCGLiAG9k9Igtm0ymowINeSOwaVOrNvwbw6dEj1OKd1JOv845/0uYu29sbm1+j7brn1OmR+4l9/jELhbbkCFgCBgCJ4SAkeMnBLRtxhAwBE4PgZxzTQ/EdoUW9Ln0MP7FcrH8Yg7pI9nRCz6E674OSpInii5SRx35maPoe/HgDR0ljx9ozXtyOVAVZ+Lja8szI1DUK/u/OFWXPm21q+Gp/MmV0dWqenxY67TVu6wjq2c+W/aF54JAkUgXRbZuZFBF698HexW2NIFPqPiM45mEMNoQA1V9Tb6tKXQT+xRYqDCBAIU47KPEVgo2KVCH9zM821AFAztzIanZKgVkBapk1OOcvcwnPrAcHpoDTw7itZDgxTcdr46JcQTqYmcnOnE9OLwTsf7VKNEB5n2d0+m82ICTdWGfy3VpKzUEDAFD4DkiMO3/lQrB9e7YNGxaoi1kgnUM4by8oerFOk3sCLnzO8nvGG0E2RKSwiRMU/5WQQ20F6mGMtwHbsJTyhRj3Ikp3cuU70SXflJv1F/burLxdbpZ/5I2zUf8Od4StmpDwBA4IwjYyOKMnAjbDUPAEDgZBPKv8yZ52qaKbtJD+nTf9W92y+4/pJg+nnK+5Zzb5o6mz+QbLwrLECnBciD0lBDuiYh20E4sN7fH6KHP3EF+7c+E54QxEwnSE3elrHbFl1nGFLYYAiePwEQhPpZITyx/IBYHCQ3OWkvJxaO/2JuAc04cTuZ6BGwG8l3F3uKwVUEoAga9INElZ2G0TIGVCqpjeviKM4Gt/qOqKhv8XR1UZkKMl/DMQRWOUM88k6C0CXE+zQ4ouj6Ux4+DeblLWVuOY3xKZsPTn6wS5GaLIWAIGAKGwPlCYCWQfWg/xj7cYJ/CE8elmrCETmo1ExeHXs42YNJTWAm1ngaXBpDiUIenwJVlXEEWpQotANdlIpcy+hl7RP5OonQ7NP77YVb/db1R/ZCuVFCI36cb7COOQY8thoAhYAhceAQuZ6ty4U+rHaAhYAh8GARyzg09oivtbvtqt+jecHv5K65zX/bJveazu0nZbTIxBGEFLAY40FM8yaEo76Emtz7jh4F6/2dWCDWNHxwI7hJGuP619SZrn9Zo33ampHgpOS1DMB6AGTl+uPNn3zoaAhz+KxefEN4j8V08WNnSRC/5QiYgHzNH4nDNjW5D7FPwXoL3+GhRAtLZ1VBno+oFk3q9eIrjx/eqvpNA3HHRITfyFUCMp+kfR60fi/gIA2yowlfL4lnXp/uslLgQ6EKPS2m30uPwTOdU0bXlw9ySY6Dp0U6DfdsQMAQMAUPgZBGY2uqNVUnSMyvEuLSLeE/aSvkc2sTC04ZLPEFaOq+ioy+tc+lLFFKcs0d62KWUzBGxUSGivezyw+zT3ezpx67Kf0dV9c2wlX86D/PbdIt2nDugcT7Zy8S2ZggYAobAiSNg5PiJQ24bNAQMgbOGQM7M3mzSDm3TA3qt21l8vt9tv+hyeMNl/xoRvRCdu8aMUXAc1skq8qYVawMlhKbWA/L7Ou0kRNh0+SAiqHx6UM9MpM8HWxIcvEb+7FrwUSHGVvdo3cdxbX1TNu0oys3TJsdhJSHjLlsMgZNHgO9FJccLaTwhtzk8K4OkFtIc3uEeg9qekCJMVVfRrGsopIp9waEy52dOyDKRFzK5iS0UVOISsAkv8cTEd6BKn0dio1KeD25fz3AkLArzLY7h6iteHMXL84VfhQxnT/EpOa7vy1PmYHL8w9yWUkluXdiTv3Bti4aAIWAIHA2BVeX4JGum0LxD+PPEToUJ8rHN4R7ckdqAp7Uf+8Pg9/Xn1Qu9aDqe1PMWyl+WwUltaL7GfZjayKyiOxitrajEZXJd22b1D0c/AYS4h90Zk+JQinv+3SW367K/R+TvZRf/tavjP4SN+jvNldlbs4Zu01UO1uyOdmbt24aAIWAInG8EbGRxvs+f7b0hYAg8BwRyzhv0iLZoh15q2/b3293uT1Ob/jAn/7Kn8IInf9NxkGdLmcPrkqjJYbni8YNAT8g7QQEphc1Wv2KJwIQXiCOoM9FJLsk5LJmRxzJ4+JQQ/MkWwUwziaJGOsrs6usQaCcmBaXMcvx7Ibt0G1hf2Z76GgRd9wprrtsfO/q8h0PPfiT0tMt/lMHJkW1VnuHkr08MfBgG7hlWbx81BJ4NAVFQj3cuxvkTDRgH/gb2ExfLlECh9RR6T74HKYAQzY6Jbg4U1oqWXJXKlki9g0q8lKKrV+vkniuqvH37Pe0ZTkb8o3a8PIHGm2hKDIy/j1N74zamK9+vGh8+90G9U5vUerbLzT5tCBgChsAZQWC1LTmAHD9wP7X3OcnqOPzhYA9GW5bSq572dQd/88HrXLeGqiydsJZ+vMZND6/7XdFhLSb9eBDkIPnRZgeeXmZSnIvEZHwQtLaK150x8R0pUZSJAS13RL+h4yFGxb7hIMRrqMM79BHk31CI50RdSulezOle8u4XflZ9c2M2/2bYoB/QNr1PV9kypT08jvZNQ8AQMAQuFgIfNPy4WEdrR2MIGAKGwDMikHPepPfoSpvpxbBLn+2W/RdiF/80x/haleML2eVrUGvCwgAEee9BSvVMTPF7HsF2fgi5izFRSokJ8SrUK3sz2CwU6WYW8khIcelUT0mmQnYXik3+vspmFW0qR+NNCHIeGmiHfSTHtUlQEl27/MX0WJWuWs45KHusGXnGS8o+bggMw1+BQiawBvsR+IVD/RX9QI7zgBfEeITXt6fsIsUalSsI1RSlOP9UmSfo8Dsm6Kb1K/IMGWkJ+ZuxzHY5GgKGgCFgCFwmBEZyfFUIAgymfnv4K6qyCjalR61tKWdujK1oIcqnSEq7W/rw41+Sx3fFvqzYhEm/XD7btz157/knBE+uZIDkzOGZqP1C9VdAVRlU4r2j3GbynetzzPdzznfquv5ZNa/+xs3Cd8JGeJuu0G3aZkJ87zKdbTtWQ8AQMAQ+LALGanxYpOxzhoAhcOkRyL/MG1TRdtfSx2LX/Z5bpD/NfXoz9fHlnNI152g7BB985YkqopY6UZJXiXoQV3Xm32EDCP7bdaIML0t5IDMnzj1qKMOlclReVQU+GBYkJsxHcnx/+Wbx+S2ev8VeRYYA2JB2zMfCzzW6TAm0wQZiqgu1ULxLf1MYAIdDgG98TFnBdluUXiHV5KD8ihKgBfsU9hGH9zfCOfHMKCNnKMJrLxYqCN3kbIREiStX8G8M6OX+Hp8vxfN7HOgbNX6402ffMgQMAUPAEDivCHDLO1Ru4SjWDQVX/z319tbesyq52ed7sDfRTI2JlRj30Ie+uyjNuSI09cQ9fPxt8FQf8YQqnIO1WQWOiXGxR8F72HTlK8opUeoTxRhbymyLcjdU/jeu8v9Yz8PXqaa3mmvNb+gKPTSF+Hm9Vm2/DQFD4CQRMHL8JNG2bRkChsCFQCDnHOh92iBHV2iHXmkX7WfzMr+ZYvojl9JrPsN2xV13lQsgqlhJDoK8ikqOZ1WUi9XB8CBmEkysFdgC2Hu2QmHia7BEwb/xiUQhJe5cF0V5UaiMjr/Cqg9a0UH+oiYsTKDpKRk68wedomLRMnofWiDehbiU7SBOCwG+93oeJMM3vI4NhbbiH1ioIECLS63ZMjRRDlFyDgIMx2Gp4ohCzfQ6PMc5OJhtVNR7XN8r5Djf5mUQX255042f1tm37RoChoAhYAicIgLS9x1pkPUMnmk+0NiHlm9g8rkPUpkFu0T5Ga0Tx++C+EY6h/TbuXqziFv6Ho5oMn3NDi+iQpc+u6ccs1aQSX/Aw14tVYSwzUCeunaxJMr3IuU72aVf+Dp8K2zMvltthp/WDb1Dt+ghEe06Z7Hzp3iZ2aYNAUPgnCFg5Pg5O2G2u4aAIXD2EBg8yh/TrbigN9q95VfzMn2RUn4lOHeTXL7uvSMXpGYS4XnL0NPeVqKugvob3oHwGxRyHP+WgDxRmYAcl1ehvaVTnynAx5x/E3W3Ut6sGJWPTB2NJyT5QI4VbUxpCp7eJJT1D2fgKH7jZ+802h4ZAieHQCHHiaiKNVVdTdWypkrJcSjEAuyYoBDHxFrdUQ8blaqnHiHAIMdpTolDPDWoDOvUknCZdFv19C4KN/Fw0WfJyR2xbckQMAQMAUPAEDh9BDQQXnZktBoTGlm8v/m3Yh84sSTD++iLt1ypBQK7EONiicI//O0iJpF+9tCP5xU7Shq4jQ49yG5UicEnPEAZjiBNeIprwCbe5zDu5JaU6D65fCf6/pd+Rv9QNxvfCBvhh3SV7kCu45xbnD7AtgeGgCFgCJxPBIwcP5/nzfbaEDAEzigC7FH+Lm1Tphf3Hre/59r0Zm7jV6hPr4bsbgXyN4L3vguRdjd6wiuBOJcqTzipCMHlVRHKgk9Rgw7dbWbPpQMvgUAatleIscFOYY0cnwR6ivZcNzoZIEyVNFOIlY/XT5Z9sSbkjF6GtltnHQFVeuNWrlLNIVp1V3Poputhq+KoCp4rTHKNqpNeCPLQUuc7qSTJDRFhxq1MjhUbFbFaGof9RY22Ogk2fuqsg2X7ZwgYAoaAIWAIHBMC3GfmFEzxLZxQ5FOCfOoFPlWSg6uObGm26ifORi1qdSh7Kn1wsUbEJHYhzD05qlEWxkpwirBPEVIc9ilQovPuoUlPtBNjvOso3w3O/7Sa1d8Mwf8gXGneIkd36BX2EDdC/JguDVuNIWAIXG4EjNm43Offjt4QMASeIwI55zk9oq3lI7qVdvZ+3y/oS9TSl1yfXnU5v1BVbpt83kAnGy4KfZWpr4giwvQ4YE+IcfEm5khN/kGQppDbCOZTGgxk20Q1KmbmhSATNfrUdoW/PwRvFhAOVpCvEuOrgJln8XO8gGzVFxcBGfvy5JbXAXLggbH8W61IWYLGvuJBvMSjjxq0yU8CXYOS40P+wIQY1xuUB/lKAUxpc7t/L+4lZkdmCBgChoAhcAACB5DjYy94VI2XzJ5Cn0+tV9APZ4uVQn7zhLfWcaqH+FjRqUS5NrhVqqhqZxTQ4WcSfCgNhYIchaM7Xdfdd5V7z1X0Vqj916muvldvuX+b1bM7dIMV4tCS22IIGAKGgCFwjAgYOX6MYNqqDAFDwBB4EgKD9cojeqHf61/3i/hZv9f9O0r+dfL5Ru/ztd6nK7HKHsR4j3LNWWBvQ5aPKEk+KFG0tLOEdWK74mk4pbtGGozJ8QlBLh7FY9in7Lf6LSiJNgwWBoKt0GtjwaiRa3bNGwKHQQCTUyC3UU4tYWDQknFAl96nbK0Efdt6IO+gQtMBd4kWK+T4WoVIuWuniQGH2WP7jiFgCBgChoAhcO4RWLFVwdFM6ZCxH8yVmTyFXbQm0orCOqVOEKpIv1uygcrv2j8e/MPFdoVDOPnVURUr8rsVv8L+MOW8JEePM9Hd7NJvkqMf+Fn1jWo2+9HGdvVzusn+4VCIr3qlnfsTYQdgCBgChsDZQsDI8bN1PmxvDAFD4BIgwIGeRJv0G7pJe/RbqVt+oV92X0kpfspTvglVeaJ0JUFCAvV4cJRrT1Q7QmA9YoAiDAldr8pypbW9duSZdHOUEfAp5sLSMS+d/ASxSqRcSZmn2Czq6wpBrrQa27eMxPgwTrBAv0twtdohPh8EENIVuPJD7l5MgEV9LUpwGbTDi1RIdCjK5Xcu0vYSCCal3EKwS0n36iITaFp3MvljCfJ9PsdnazUEDAFDwBAwBM4mAqtCktIwSr4PT0qnTI5DMjVtJwsv7TzI7kw1PMMzPi9ta+QvenDdlJCb7WpCdCZ8w9k6pUtEfSZC0Gb0qY5158g/yi69n316J1fpB34e/j5suu/XM/cu3dy455zbOZvo2V4ZAoaAIXAxETBy/GKeVzsqQ8AQOCcI5JxrukebtKDrtOxeobb9TGy7L/Zd/4UqVK/GnG/1OW0nZPXAhxxEOUhwn6maaRDfQK+xAoU79eDFQ11NUJCO/vjQhw2LkGtlMIDBAj4zKExZuVpCiWRVgzC9qFnPCc62m4bA2UJAlONMZXOQ5qQ6pFgiaaYAbFZcDhLYxfNqJYQTE2RJleZCiq8Q3pN7tNgvDTZMrH4brZfOFja2N4aAIWAIGAKGwPNDACT3el9XtiZCESHGJ1WSIMdVRMKhmyDPUyau8MqevK+YDK8IpHhFcRHZLsXBQzw6bqpDDru1rx6Rc3eW7fJfQx2+UW/W3wuz8DbN6TYRPaJbbJliCvHnd+ptzYaAIWAIPBEBI8ft4jAEDAFD4IwgkDPT1OxTTi3devD+3T9zMbxZ9flNR/7lkP0NT+6ay87DbqX1PaWQyYdALnhyUJnDo5jLOxP1FPk1+SSvIMPVWyUQOuxQtEzDgmRAwEMDrGMgx8ei02LNwrTaZOBwRiC03TAEzgcC7Dk+TkwxsV2G6oP9kQTucvguCPHJKw/gh+Ddcn+ONkrDoF+9zYt6XAb7olY3cvx8XCq2l4aAIWAIGALHi4DjCkulw7WvO90C94UhNimB10OVF5pPT7l3FFxFtQ9UuUCuz5S6RHHRE3WZGt9ANw7V+K4j95CSv+PIv+Mcfb8P8TvzV+Zfp4Zu01Umw5fHe3S2NkPAEDAEDIHDIGDk+GFQs+8YAoaAIXACCOScN+kxbdNdutXu7L0R2/Smj/mPQvavee9vdpS2ksvb5EXhAqabnRc4zDMxcZ45yC/yT5d7CfNzmUL21MSaw/+KtQrGCkJ6s558ZMQnvxo5fgIn3jZx8RHgwC6mx/lYmQZnT9JChuPfQpmPBd/7DFOeaGw0nbgqv4t90rgOUZlbasDFv9jsCA0BQ8AQMARWyG+ptVJ2nK2/VyzJ0P5K7geRd468H8l0StCIzyl3RKnr+QdKcu5Xh2oRfHiUu/zY5Xw3pvhz8v5boWm+P9uc/Yg26C4leuxedbt2RgwBQ8AQMATOFgJGjp+t82F7YwgYAobAgQjknGf0kLZoQTd27+9+pl30X9pw8y+4RJ+IOd3MOV0jylssBQ/E5DiIcSbJ6zwQ5JFV5Jl9EJu+Zi9EsVZB8N+qxUoh7oS8k8XIcbtADYFjQADEOHuMY/ANuxT4mIqvuPysWiDJpBW+MyW0p8T5MMbnX9bJ8XLv7g8eO4ZjsVUYAoaAIWAIGALnBAHpz04moGXmeGh3uf1FO6yT1mN77ChH2Kl46ncy1a6mEDzquhZE6V6M8V6m+F726ccpp+81G/N/mV/Z+gnN6T7doF3nXHdOILLdNAQMAUPgUiJg5PilPO120IaAIXCeEcg5N/SAifLrtKTXui5+su/aL+Q+fyHF/mXn8k3ydC3lFJIH6Z2IKijKCSlBoi5PmeCQKGYOGszJzg1CwMl/UlAqwwZ9VXWN2aqc5yvI9v3UEWCSG+S4asMLKV7sUwZyvITmqo0K35saDKafLTfoQJtPfVKHe7eEdk6PfPRcPXU8bAcMAUPAEDAEDIETQECiMzWinolwaTRRuQVSnF+jY1sUbm4jQjYz95uFOHeLyjd7lPP9mNLdlOOPnM/fqmbhh7ON6qe00dwlRzv0Iu05x7PgthgChoAhYAicAwSMHD8HJ8l20RAwBAyBJyGgPuUbsF/pHnSv9O3yU2kR/4i6/KUmNK+kPl9PfdomclvOe+9CYGuF3vcUZz1F37PTAqvG4VkOcpztVSQk0Mhxu/YMgeNHYCjo5uQv8QHXSM3JVFShu4UgV9MjfpXwTXUqHyvDNVx31SyF7VrwHZ7YGu/ocZvHf3y2RkPAEDAEDAFD4CwiIOS4KsULOZ4c2wwiRBOVlbBMqSgwSY74nhxp4bN7FHx139XuV4/j7g/9zH9rPp9/r27qX9MGPaSbrA7vz+Ix2z4ZAoaAIWAIfDACRo5/MEb2CUPAEDAEzg0COWd00TdYVb7TfzR2+fV+r/1c7NPvO1d9NLhwncjd7F3cjk1PyUcm50CQw6tcxOSiNmcFefmZhAcCDHlfSLihIVnzbJyCplWr/NboclyKW/Hm+rv7If8gd2RZ2xhKuG/7/MbY7K2vb7I3k6+uf+ogs5lzc3nYjp4RBEZyW3YocxCu0t58Xw2RmuMd44TOnsYBrEZx7g/Jle0IKW7k+Bk5+bYbhoAhYAicIgIH93VWe2dl96Qlekrnbq2jddC6+b1pJ1C7YtPelKzmybTE/v5fqaCa7sC0TznUOw4fGCsghQD3SK/HihP8xfFKTI677DLI8ED+gcvuXo70LmX6SXDVP29sNG9TFd6mbXqPiHboI0yIf1D39BTPtm3aEDAEDAFD4MMiYOT4h0XKPmcIGAKGwDlDQFXlM7qP5CC62u/2r+3ttZ9rF8sv+J4+17jZb7tELxC5K86RA0GOPr74jyfyM0/JJ+o50DNR7yL/O0JR7jL5ylHCiCKPlg2sUsXKQMdpwtHUgmUIB8TnfCVlqmruMviZl/VNwgNZJDsh1su/y7tCAqoWdkUhO/2EkJBT/Wyh0keCf61ZXPF4VvVusa1Q5e45uyxsd88AAvs7X0+wONk35p6Mwadkw2SFB0768L2xvpityhm4FGwXDAFDwBA4UQTQPxMLkSIpEPK7kNXy9jhBK5VL00nbtQIn3fvBo5tXVjIxJGwaS3mHe1IaCM0dT124leIumqeUwFRPW61JewWrQNeTQ18Uv2rrFlwg52CY4inGpMcnGR7YnvRMHVVQiO8JQY4F/dhEqU2OHpGnB9nRg71u+Yu6Cv9YzWbwDv/ZZl3/hoge04u0MHX4iV6utjFDwBAwBE4MASPHTwxq25AhYAgYAqeLQM65ovdpTpu0RXt0fe92+3su+c+kPv4hpfQpn+kF7+gGUd6GgnzZL4lqR77x5BpHuXIUXaKeIvW55x8EgHrv+ac0KBjUZIxYhgGPKFqngyAZAbF/i0hbdSw2VX/LYKoM0dYov4mv8lQVO1XWlv1Rva2qc6fk+GgxMeiNlHAc92MkxIutBQ8gofQ1cvx0L2jbuiFgCBgChoAhYAg8EwJCYktfaOh8aSdMBAQTMpxzLrSDtrKViUp7Wg84dNWmodLT7xePbyGqxwXCjJEAHwURssLEfcWxV+ld4j4le4czEQ/7k8yBmTkS1b4mkOWe5Ad/67ueYh+JukTzsAGl+DLDN5zSneTzL3Ogb/vg30pN+rdrW9fepg16QFdZGb54JoDtw4aAIWAIGALnEgEjx8/labOdNgQMAUPg6AgwWX6XNono6u6yeznvwn4l/nFa9r+fY3ppc75xI8X+asx5nhJcyYl8FShUgQM++9BTVHsV/JUrVPlVLFdYVT6owkW5Cp2OOLeospwrWtWixUs4KNYjhLl+X1WvHpz0pLp3pLbLdvZjIsQ4Oy6LUzMPvmTw55GyxPsog8TpUI/3m1e7nxwfh3llXUc/F7YGQ8AQMAQMAUPAEDAETgKBKREt/bTpsl+WMCWyuUKQQ6Slz8ea8snrEPIOhffa39g8LAeq+oY8p8SLIl0oeCXiuaPndJ2J029GeQR6cJ4qatgOhYlxqMezp8C+4eIdHjL8wolym4h62KUQyPKuDvWeq9z9h+3DO7l2P6tC9V0/q75b1dWPmllzW61SoA63IM2TuBBtG4aAIWAInCEEjBw/QyfDdsUQMAQMgdNCIOfs6X0myrfb1N7yXf7oo7uPv1BR+F3v/Ke987coQVXurqSUalirNPOGiW2Q2fwaMod54lUIb/3JUalplLkqNY1XqbyVIVEh1Pn3Vfq5ENWFMx+Hbeuqp4LeVGKEAdZq2GFRQaEkd9ApHaACXyv2XS0zHsxgTuuM2XYNAUPAEDAEDAFDwBB4NgRYvKB9rvJNEQOoUGD4XUnzoszWD4tSW7tEhRTnijrt8ykhLlV2hTjXgHdkZ2T4fQd+XRGETw8jizJ8vXYQtn0g1UM/I5cC+4TLZsQqxitR3i87ChR2A/nHPvuHztF9SvmdHOntjuIPZy/NvhmbeHu+OX9ID2jX/ZbbezYU7dOGgCFgCBgCFw0BI8cv2hm14zEEDAFD4BgQyDnXdJc2KNFW97j7yGKxeDO1+cuO6NPehZdrqq/G3fRCoLDpK0+ucqwmz/Ak9/Amj5SC/s5e5ZEyh3yyQSRln0V1XjTbKcOhRYZm/Fp8KjWosAQWDq8aXsjHOqrMy+/FFmVqlzLVhw+E/MrQbGwSy8Bv2kiOVitj7Oea2csxIG+rMAQMAUPAEDAEDAFD4PkgADFC9EWtLaS49L0KOT75NxTipbJOSXOpEJQ+3UofaSIyGAj0ySEUj3Nk13Sh5Qwb3rb6n8MAZSC5lezmkEz+u1j34fcQK6rahkKqVFxBlFKkmOMy5fg4pviwnjd3Y4rvx5x/kin/k6v9W5vz5lezMHtAmXbpo+wdbl2453OJ2VoNAUPAEDiXCBg5fi5Pm+20IWAIGAInh4AGe27Qu1CV081+b/cTaY8+PovNp10XPp++bebaAAAgAElEQVRy/3JK8WaieINcrj0qZatMbPMIUhxKcjDfqiyHulwCPntWL7HdCpfpCjEO9Y8MmIQAF3W5vIpKfUJOT1TmRaU00uYSFCpDv/2WLKxWH2AszeF+grx8f3wt37NAw5O7Cm1LhoAhYAgYAoaAIXBUBEroegnaHAhq7XcVT3Ihs8U+ZSo0QL8tBpDj3Ek7gFgfwz4HP3AVPeDT0ffUVkteRyHGYdMCOxS8IiizykFCQyNsU+SHVeKwR4HqvINq3Pcxp0fJpQeR0v3g6Zd55v7JhfyDjrpfV6F6z1/fvrsZ6SF9hPacY58XWwwBQ8AQMAQMgQMRMHLcLgxDwBAwBAyBZ0KALViI5vQb2qRI1/u4+Fhc9J+ObfwSxfwZT+4lh1BP8lv8Oeca8l49JKEax+AoUqpaSq5n2xOunsXCvuNgsvGqZbgTCht/KrYrhTAXT0v1rVTCu4Q5lQMr5Divmt88KGTqwxPkhVQ32dEzXTr2YUPAEDAEDAFDwBA4TQS4n8SSbNkLtU0p1ipj9Z4IFYpYoexysWUBXz1W2U2EBWsdsMGvfNhcFtEErFOwBia8PRPgTJCnoN7hgXyEXYpnkpwywdFvLzt6GL2727v0rsv00xTSt0Ptf1Rvup/P3Owe9bRLH6elKcNP8yKzbRsChoAhcP4QMHL8/J0z22NDwBAwBM4UAhMLlm1atLfaxfL1vssfTcv0KUf+Uy75Vxz5a875q0Rum8jNs4vk4VyOzCMQ4h6kuf5AEARlEqkyqZhKKqldwjqLLWYxVSm+5RK+WUj0Ys+yatkihLqIiKZBT2Ms1dMV5MMg8UydCdsZQ8AQMAQMAUPAEDAEnoYAMl8mdnRKZguJjYq7ohPXftCkAk/6TE4D2HUbxQpvpWO01ofiv+l6s6MqV2yVgu5dRgYNq8KFKAcZnnpk1Pilz27XZf+QsnvsiN6nTL9MLn53uUn/7Br69azaur05p4f0Iu2aMtyuekPAEDAEDIGjIGDk+FHQs+8aAoaAIWAI7EOAyXKiGT2i+WKXrtBe/7F+ET+Tu/wF19GnfXYvBeeuNt7fSCluQx/egwgPmah2/JMrsWQBeZ4I6nL4lWdy6pOJ1xh71n+zMQurzyV40zkI2/V3lpTrYE9DpOBryZ6bvF5VkA8WKxkfl2HcIGcfw6fWG01TjtsNYAgYAoaAIWAIGALnBQGmwLOIA8Z+znTvQZ6jH4X+kFjflUX6WZmocvy3FGGtkpnUxndEZ+7J4/vKv3MPCgQ6r5OoTjU1ixmFvqKYIvUx8v5kl5c+hF0f3KM+9g8S0b1M8ZfOu+/74H8wn89/UYf6PQIZfot2jAw/L1ec7achYAgYAucDASPHz8d5sr00BAwBQ+DcIpBzruh9mlOizWVP12mv/3hcxE/kvf7LwflP+uBf9MFdyz5f73O/2eWe+twzOe5qR6F25OtADopySjyYirkn7x0JD+6FGMdALYE0x2cSNU0jg7biiQkCXRVOGLOJMn20aSEdyxWgsT5Zitpp1JUPnzm3Z8V23BAwBAwBQ8AQMAQuIwKFqJ72d0YPcpDjhSIQhrv0h5j8do7adkHeewo+UHCBPMJm4A3OnitEqUv8t8rXoMoJXHzsI3VdR651NOtmVFOTfAiPyNN98Q2P77Sp/XFM8YfNRvOveVa918zdu/ON+QP0HJ1zy8t4ruyYDQFDwBAwBE4GASPHTwZn24ohYAgYAoaAIpBzRmTnnB7TJu3S1eXD5Sf32p03Ytv/YUXuE6EKt4Kvrjjvt1OOsy7GGupyDuL0jnwVyLE3eRRTFDDkLjNZziJyJrkzxdRJehOSPvlzUEqJzyWHTBEE7iXwE0mg0iTC0gXLSI4rRT6EUo2n0pTjdlkbAoaAIWAIGAKGwPlBAFZ2UmHHfZ2hv6Op6JN/C0k+6enkzF2qivXhQoQLIY7QTIR3SrCmhGh6yr2DEgGfgZt4V4Wq9USPouvvp5ze6/rulz3l7/jgf1JfqX++tbX1DjnaoRfZMxydOFsMAUPAEDAEDIETQcDI8ROB2TZiCBgChoAh8CQE1IZlTju0SY/aFx493vlkXMZP5kif885/wrvwEeeqa0TuSs60GVNqQFw3Tc2kuFLZYrkCAtyDSEeJLqxaEluz4Pfk8V7iRCcM4Ko0I8c8vQZ6Oo6oEquVElQ12WlRna8uRo7bdW0IGAKGgCFgCBgC5wUBhKBnqLnXejQjVS66AixFQD7ElUNHkBzVveewTLFoQVcMxDgI88Ahm92y7zyFpaew58k/dtk9zCnfTjH+PPr4VqzbHzcb4eebG7P3aWPjId1kZbiR4eflIrL9NAQMAUPgAiJg5PgFPKl2SIaAIWAInGcE2IZFlOUby/t0PS6XvxN3+8/nLv5hlavfrny4VoVqe7FY3PTeb4bgyQVIxjNlD4fySNH1lBuiFCLFKlEMSTzMQ6bkM7noaNbWFJKQ41CLgxBndToT7vsJ8sKXT4uNzzPOtu+GgCFgCBgChoAhcNkQQMUcSuzEIZz7NMV+TrNZQHLDDoUXtadTiTmFLtBs2VCIUsWHarycU4457cYUH8UcH802Zve6GO+m3P8y5/zDUIefzOazt5vQ3KYteky3aGFk+GW77ux4DQFDwBA42wgYOX62z4/tnSFgCBgClx4BVpbfFs9y2qUb/XL58b7Lr7mUfzel/LuU80dTiteI6JpztOWCm2UEdkIjHjLFKkvAZwB5DsJcnFaaiPJfDBKFCOe/OSjNlSgv0ik9AweIyS/9uTEADAFDwBAwBAwBQ+D8IAA6XExRJGiF6XF1oGNbFBDk/IpOkarIc6YcJbDcR0/zPO8out0u9Q8Txcc5p9suuJ+kOr3lyP0r1fQ+1XR7u9q+Q1doh24yGd6eH5RsTw0BQ8AQMAQuGwJGjl+2M27HawgYAobAOUcgZ5Y7NXSfNijSVhe7W4tHi9dT13+Oenqjiv51n8N1ynTNEW0kcnNybsalxOxL7ij5nnLdU/awXFFiHIw5W7LoK8HpfFyMHD/nF47tviFgCBgChoAhcMkRAPldgRwXHzl+hSUKfMKLXzj1jslxB79wCdrsKNNjT343uvygr/vf9D7+NHv3A0/+x2Ej/MrX/vaGWKQYEX7JrzE7fEPAEDAEziMCRo6fx7Nm+2wIGAKGgCGwgkDOeUb3aE6RNqmj69T2Ly92lr9NvXuVEn0mZ/cpyv4mObdNRJvJp40cep9crDFGhEAKanMK+jr4lovFCixbZCn/1t8OakX5o+t/0NLlp5y3Vf/yD+NmfoAJ+oe9Loav7t/P/as46DOKw8r0wQds3AzbP+zZsc8ZAoaAIXB5Efig0ekRmr4C6kozva+5nbbX8FpbOxX81rRfsH6qPrj95k7HvmX9e09bj2SlcBjmsBSLFHmP/6UHOv1UgGc4KueiOKbw/1ghrgGb5DvKbs8l2nHZP6LsHnjn33WZfhSo+kk3i79yV6ufxc14b8NtPKQb7BduqvDLe8fakRsChoAhcCEQ+KDux4U4SDsIQ8AQMAQMgcuFgKrLYccygx1L27YfWS6WH48xvp4ivV71/vV53viYi3Qj5nwl57SZXJqzd3klJDn7lofEPuZQlIM8R6AnfhDuGb1YsPAyDEC1WVUvTx6gOpQvj4NUtu/MeQi6moxrhXqX0So5KN2LGei+sTk+w7KvA0+svPvkJp6Lqnkz4jkqC0K6xt+n7/PvA5uAETmkZhFu7SvbXxmnD38Z97H8dtTOxxNguVwXuR2tIWAIGALnFoEnM9wfRC1LcRebgjzDMq6VOeB9nPdILJf2Wl7RfpcWUr6Edj8hw4Sl1+WP070eJ9P372CW8Er4deOVD2L6eY0Yz4n7CPD0lr+X9/V1mLBnVbeGYoodCgdjot/Bv8u/mUTXvkfoHc26QCESxZTgGb5IlPbIucdUuV0if7+N/S+poh+6QD9qZs3b3s9uN7PmNhHt0iu0dA6aclsMAUPAEDAEDIGLg8BRx6cXBwk7EkPAEDAEDIELjQCry29TQ3Oa0w5tL+4vPl4v65dzzq9GFz9DBIV5filTvpp92u5jv+UCBV85csjtDKCjIyX+L5JvKg3vFH455UwpRSa3YcgSQuDh7NScBf8G6c1LloH18O9x+DusTz+oA+Tp6SmD5QP05mX1+8jx8bNMiWMAPZHPCTE+Icf3qcv173wQoPFBkI/kwMqerPQuWGN3wHL4LoiR4xf6VrWDMwQMgQuOAKZi15dJc/SUmiS0VGi7QPg+C0iTSVqHye+D2h9VXOtHhRwvKuxxW9yue2nZx7Ws7sy+41Ni+v9v78y75Day7H5fBJBLVZFsUgvF7p5uuXuO7eN//f2/hf+xPXO6R90jmqRIiqwtF0Q8nxcLlqysRUlKIlUXPElUIrEEfgByuXFxny1g7bZO87z00CWd/Oipc3z4XqCxvl6n5y6BGDWnhqfOdwcnuYBmzQvv1ltYUU2vpbBmVMSgCCFsELBeSrt2KueAvosSv4+C/xV9/D9O3Mvg8cPy0YP/xDFOcYZLiuE/5TzjvCRAAiRAAp8rgcN/mX6ue8x2kwAJkAAJkEAhkIp9vsIciuPN6uzL1Sb+sVut/3vs9L8tZkd/QdRvYhcfIOKBqh575xbOOWc/bLtNB+fM+eWQBPTWJZe5psKfg7MsucxNUDfXuanRYs4xmGUrO8onQ3GFDWb0yQ/lOqv9XI7mFqsTikow8a4VBXkQHIZ1Z3Hctj/+cV+tdMOP8fy6/arvNzRq7XTpoW17JY8dI7s53fYvz5OTBEiABEjgt0vgLj8+x0L5QGIkcN9wZ9Tt5ExYtx7vwZVdY1KGuBQTv2sP8ci5nT6/rZh3U9ZR8rqLVJ4/ik20zp+nVVq36Vn3zt8NOr9O436OFLNSO6DFeuVzHjhc6kevRTRtDZYF7jtfCmaWQpkmfncxfa+wfuuZb6zvutOADiFeiMq5E3u4M230+0td/Zs07n838/m/N23zz/nR/C2AczzFRkS2tzPkHCRAAiRAAiTw2yJwl+8nv6095t6QAAmQAAmQwDUEVHWWoljs3wUedKvum7iKf9huw7fo4v9AxJ9E5Cuv/mQmsxOBHCmwUIlNkPQrNP3gtUgWaa3wZxXLcxRLvg3b3GExOcvHsSjVMZaaln4j7/PWlYZbUdGxOJ5+xu98pCd3d13ZWFTIzu9xLMvU/VaXqoLAVXte+qFebtfeRbk/WmV3LorjvAhJgARI4D4S6LtFr3N+jyJP9vrLUyzKDZ+Pt0DNd03luJGqYKf7vdLnosWnDeN9NUecWiRJCxuPM7/7z9EUazL9PB673O07wsavsjieBHCTwEvMSolCiR36aX1bY45PsecWhGKe8PxVQYKDZX67tRO9gOJSQzhT1beI8YXA/XvbuL+5dv69n/kX8HiNJ3iPh1gDKSKlu4/nIfeZBEiABEiABMYEKI7zfCABEiABEiCB68Vy+5zM2eUBS2zxsNt2zyTIt6v3m//pgP8iUb6C4KF6PYbDA/sbDu02bu3Xbc4rT/dRW35o0rwRRBGagJBzTfLEfsjzDj5ve6Hcbl2m29w5inSQDgYX+m4RrpI32gvlOTM11MzU0abrNmvWeTbB1eKbQwttW97cbPuU8Lq+W1TyIYedpx8JkAAJkMB9IZDvXJreN3VFBO87d69W1rCPlquZ4Xen5yz2rMaVpGyUXaF9eJ4/xnaFbvv8M+f2uFu5FujMn5c5dGUQ2pORvJ+9rj93ExgLHx0kClxar2WSu36apXu7mDukEdN3geAbd6HQ8xjDabQx9C0g30cf/67Q/1wcL/7Nwb1sZ+1rnOAcp1jhj8kVzqzwu58qnJMESIAESOAeEaA4fo8ONneVBEiABEjgwwmoqsdzzHGCJc5wjA4Pu279rNt2v99sw7+q6r9qjP/iXfNYVU9ijEcAlgIsLZIlZYQ2Agv+TAU9093UksZJIy9ievqJbQJBcXnnelr2vJTOtKKeo2TWQaiuH+01k7W/sbsvqmnrtIKiqcBoj6SsrYgSpX7X6Af9IFLkZl7xqk/0/ZsLgpo4cp1t8MOPEddAAiRAAiTwaRK4TRzfLUS9m+rVh5wc+CvWPnsc4iizfChGPS6ePS1KPRbJy2ff3o+w/Z3b+UjkBpv4nWNZXP5QreU7gpXxyK72RhpoSKEoKwS9cCqXonLpnLuA09drrP8Op/8hrf/Pxrnv3QIvWn/8Eg9xiQus8SwJ4XSEf5qXAFtFAiRAAiTwCRI48GvFJ7gnbBIJkAAJkAAJ/EoEkmAOzPAj5uhgYvjJxfnFX3Wj32inf0XAX9Hpn6DySKMuXfQnjcxOHNxREr9NELeH5ZX7CItosb/ttmvLMc/jMl8Sr806N97ZVOErZ6Tu5JXnuaY+9LKqJK4P0SvDj/cku/du9sHlNikdViJiDkOeUtMnsTKHrYdLkQAJkAAJfE4Ero1VGcWpTD6zyq/VqkXf9cdrzf/ex6Z2/ubXSgdy0rVzTZDxNtLfo2kWj9b50rldnN81+iTlkdvDIk/K31n8LtZxRXKEN112hlucmuYhqmqnwEYVpzHGMxW8E8FzcfJ/xcnfGvHfO9f+EGfxzezB7BU8LvElNgC2IqPq2J/TycC2kgAJkAAJkMAnQuCu3y8+keayGSRAAiRAAiTweRBIxT5fYIYFZthigRVOum33zXa9/Vo37qnfur+Iyr8C+g2cPlLRZRS1/PJ5lDhT0Zk6bUw47x8lTyWJBG7X6Z1v585uc3OF223cuahYft6HpqTbwX1yqCUbeh76e74H53kvHExeM+G8bGfkO69H5U5+8J3M88/jiLKVJEACJEACH0rgph+fNcqrfCj1mxp/rmTn+U33JtlitSDm/q2NtOq0jZoJPhbu85Kj7uOyzRxLlj9j7T/7HLUCn9kRbuK4T2K4pKgUi0ixv/ssmLVFjjdR115xGaGXgFyqi2ed6hs4/S5Cv3Ot/048nrvF7MVsOXtDIfxDzzouTwIkQAIkQAI3E6A4zjOEBEiABEiABH5BAqrapBxzc5kHHG8uz7+4vOi+CiEV/fyTU/dnp83vG988kSAnsdNjKI7MZS7qFhbLYs612MbiJgfEIzvPTUg3x7k528TKg3a5QChCFseT0F4k72R2rwJCKuqVi4jZLOZCj/m2c3O2Dc65QTi3VJTqJLdl94vjNVN9Kpmn2+InLsFDDsCdZPhDVsxlSIAESIAEfk4C4wqVo+0M7+rXv79fJ46nz6qsrqfPs+QD34nvyiUsFc4+M821XeTvNO7nHWJWqjwukl3eNpgI3sYmCeG5OLV9XpYa1xZkYoUzo8LDq0QXnLq1FclElFMn7kwQf1Dd/CO68B+APhfvXmLmni9nsx9wNH+LBqviCLdoFH7Q/ZznIddNAiRAAiRAAoUAxXGeCiRAAiRAAiTwKxMogrnFssywwRwbPDh7f/YnRP87F+WJg/ujU/8Xie5bgTxRjSedbBeqYQnBXKHz5A63H/wmnEuEn7kU0VLjWEwUj1YmzFxvqojeypKZeBCLeVyLoJBvLXcmoqdf/CYalAyXOo4moLdJGJiK4rUQ2VhoqLnpY8jmWC/i/EHsrxYJPWg1XIgESIAESOCXJbCnyPNuA6pOfd0P1Sxy507dOtS88CR/jyTlKpTXaJTcB2wqtkWapLXkVSQruMWh2OeiCewpHCWNs9BuH4kKFxz0IqainMVYbivrANkCWCuw9s6tROQcwFsAzxH1b+rwHURewYVXJ8uT79DiNH3aMxrllz3/uDUSIAESIAES2EOA4jhPCxIgARIgARL4BAmo/ToHzGXemMv88hwnIZw9Wl10X0nAn5c6+7YJ+DZC/6CqTwA9EZFjAEcibrbZruYi4q0CqIkD4nwq+Gl/B6fo5h6dOcmLYG7CeRILUgRLLdYZkxM9Sd7JwGb3lceUd+5hBcWGrxFRy23meS1wpq6XZaI59Kr9PN3CLnCxzQXJDhnKemmpOwQelyEBEiCBX5FAFcfTrUnTn6JF8u7F6on0PRLCQ5wU3UgCdj+vCdvj1PC+gmfttLU7rPIm0nzW2ZviUUosSvQQK44ZLBZFUixKXyIjzes2jczXgJyr6EpFzyHxfZT4Jrr4PRz+sQoXVrb7n26xeLGYu7eL5eJdKZRp+eAmonMgARIgARIgARL4hAhQHP+EDgabQgIkQAIkQAK3ESjFP+f4JxYImCOuH3YhPomh+7oL8k3cdM9E5Y/zdvZUA75ElAca9ViiHIlzSy9urk5mZ3GF6BVmihMv2chdxuY23+o2i+TOCoNG2N3dfZ55un3dHHbl1vTkxDPhvBT4FFtvvn09x6eUcXKeaxIhfGjT+JBhsq1DVsBlSIAESIAEfiUC+bOiytN9I0qmd3aAV5m8Ct2D4G1LBuuMHbU+d9TmOJUcu9Knh5dYsByxkmPCBK23zlkgRoWGCCuFqUFtxXBBcDQ/6jRgIwGbGHQlKpcO7tw7986J+/Fyu33pvPsPiP6zXbjnsfGvW483cDiFwxp/whqAxaKYq5wDCZAACZAACZDAJ06A4vgnfoDYPBIgARIgARK4C4E+y/xtjmZZb/HQbfEkrsNTbOOfui3+KkG/heKpC/poNnMngD5Q0aOIMLcwloCI+lgcL3NEi2WZS4lLKYU9UzEzi2kZIsizs7xUSUvzx5xznh5FHM/3oJuwbgVBrXAZxfG7HFvOQwIkQAK/FQL5Y8M+C4YPkL4gZu/6tizv4uyu00YRKJJiwWpNjCKmjzPDg3Xo5oiUXRG+CR7hfZdywy1uTERs5hWcrlJxTOjlptu8h5MfxelLOP8dvPytbf0/W+/+X9T44/x4/q5kg5sL3Nzg4bdyfLgfJEACJEACJHAfCVAcv49HnftMAiRAAiRwbwioaosXmGGLOYAlHE7Q4cvV29P/6hTfiMgzAf4F3v1eVR4q9EgFi+12O1dgBsHM4lksk6XGsiRh3CMJ5zYxaRYpljXmGp+9KJ7jWLJwXrWQLJDvFkr7KQeEzvGfQovzkgAJkMCnQ2BwdlubckHL3iee+litOHQqoNG7wE33vuoGH2WLl+iU6gxPOnlMVaOtdEYH6FYVG8sDb6LrFlgEH91anZxGF19pDH9X1e86H19Fje+XD0/+3jZ4jQXO0eISK2zwNDnBGYny6ZxKbAkJkAAJkAAJfDQCFMc/GkquiARIgARIgAQ+HwJJNDfx+x1m6C6Ptqv45XqlX3Tb7l806rNW26cu4g8S3DOJ+ghRjpzIsahbQGSuok2KabX01iKIm0Ceolig8I1LhUHteZpujvE0BoIL2PouxbUcMlAcP4QalyEBEiCBX5+ASd6W8d2L3SMRPAvl9lr6MOkzwe0vS+XqhfUulGSWHJeSi2gmCX0rwBqKrUBWGnEuwArAqYh7YQ84PL/E5WuZyT+8n7+az/y72WL2Gg4X+BImfneMQ/n1zxO2gARIgARIgAR+SQIUx39J2twWCZAACZAACXzCBFRTzskMP6DFPMWzLLDBA5x2X21C/DJuuy8Q8bWqPnXa/AGKxyLmNscxEOcQLBTJod5A4gzQRqGtieLVeW67H70FuZhInoX0end9/TsHsaTg2P71MiXRG8e13IZzuIV/PGdxu1+7sOXS7huGlNs+UibNNi4bV5bbWy20zlf3eWemPme3bnvUigHTJMf9ul2YtH+n6F0urJpI5sWvvD6sdR+Hmm6wbxdv3m5db7mbYELupiNZ1jra4Id+gf3QYq4fuv3bztvbXv/Q9t+2/p/l9dHpv3f9V6AOeznJl+4zpe/eyo/Da2ctB50ENU5kyNW+egle39p+6d5tfTOD/ddoibeaRJv07wajFe55n+z3ub53lOiTslSf/d2/vQyu8PxekwpawkefBPL+lqIaoVKObbAc8CSGZ/E7O8DTFCuP2TmNHSSJ4CZ8r0RxAeipKt4A8lKh3zvnXgrwpnH+tfOzH9qj9i2izYcVvsWmxKHQCX73y4hzkgAJkAAJkMBvlsBBX+t+szS4YyRAAiRAAiRAAnsJlEKgDV6hxQwtTnGEDY63cftEgz7t4ub3scMzKL5x6p54kcca8UCiHiNiLoqliCydyFEEWnXOJYHZScklzxEs0R4uol20yXmektBL1rkJ5BF1vjyuQ41pqWPvzdBe4ltKFm0f5ZKiYPIjqy55PRYbk8ZWNNTalaaPhPJkTMwu+C61teTiJvW/LpunDYPk2/vLmvNYcwFUc9UXpbnGAYyjBHJhuio+DQKx7Xfnjc31ItqQtZv3aLx9gTn2c3HU/OrO18HSpv1fErNgZtvep6mPt1vbP+48yBu0Y2eZ9HHEaqeDoSrwI279XqTXym0Ih1yvaUXWhkMWHtUSPGzxnXPh0JXs53/3td3WQXT9mnK/yu3wdmeZXgW75+7oWt4VYGtnWWmSM+dxHOdJjy+3cTdavtbq0Lennj+TXdzTnhvE+p0174E16s26sh07dxt7lxleSZlVte25ZkO5/Ms8mopN2j6YqGy52dNrPOdv16G+l03XkV91onBxC3sfKLpzmp4vufq+mN/5LLe7XorjrgrVmF3cInCwI1LiUVKhZpcTtpI7PB+n/M/BSRbG9cLaYG+CeUjv7KVgppnARcQiUDYK3WjUjUqKNNmI4FIdXkdsXgQXniv0hTh51TTN80aaH/zCv59rPMfx8gyX2OCZRaokJ/hhtynd/YLinCRAAiRAAiRAAp8xgdu/2X7GO8emkwAJkAAJkAAJ/PwE+lzzOVqs0CJisVltfueCeywSHoWNPNQufBlDfIYQ/6CQr2fN4rEqHkSNywidO3OdO20hmMOhuVhf5Bxzl4Vk8QJxLkez5DCXkmWev8qIidmjXTWhJYlNReC2cS+g2/yNrXQQxKtEM8yf1J1elstbyQJVKkhqEnrS1qfSctlsFrLStkv7BvWpON+7QWUdCcFZZBoXokt7V5qXt2XCdHLd9+L4nq9zV5yl43my6F+L4mWxc/c8GRdbYCQAABjLSURBVDk+d8X+1DEwiOvTJUc8RlnC43lSJ4fLBVsHfX+6D3l6dZbmpcftvCLo/+TT/MO0sg//Av1ha9iVgH/y7l9zb8Td1nM3Yf06cbw/suPzqheGd07GyfRyHhT38aRvKPcj5XoGdSf6Geor/Qs5tmPC4DpxfJ+IX87L/AZwpe9nuLb20SzvCdqUQg3DpZd51e2VNu90FNhUE5it/KO95HoVvGyrtqk+LTwmZ5sqvF176f1sxKFcc/a+Zc7tKmin41W2U9/RkpZfXN71PcveGBNXG6f+N+sYBDQk1zdiyA5w0+SPZ8fWz9mp6kqRHmsVXUFwCXFn6+36Bzj3D/HuufN4KSLv2mZ2rk7PQ6Pvjh+2r1MWeIctNujwNMWhWGHMK+9kdzunORcJkAAJkAAJkMB9JvBh38zvMznuOwmQAAmQAAmQwI0EVJNSY/ZAjxdoYOL5GjMoji5P3z/VIF8rwpPYyVcawx+h8RkivhCVR8vZ/Nic5gh6JKozxDg3SRuqbTBVxZzHrog25uD26UkWrE3ANgG2aFj2WhLWTdFx9gDW24vsXM5VRnshvAS99A71fp1FTLbXzQnZaFMEtiwSmZNyrMqY89yGYer41SIuj53vE5LJs1mkvvELg4t9EI+TdJXnrd/qrjOtjtaZXas7kQfTTaVnV0Vo20iAQ3aeDkPd+D6Re3qaqAg6sUz6vYE0ebuDwrknfMVc09eJ83e7KK1/5dDhU/nyfOguGNscaXHYYIvmDqKf1oJhk+b8LnnSpQnjeKU8aXq9XJGox0bgXhgfL1eWmLyW19w7mvfZqneuw0mPTHktL59u/di5S2TnArrxzo5d9vuOx9W7UFLnnIvYYFOugSJSV5G8uLRrDneKsxp1AuQOO4eIxnoZkziezodyzaUs8KhYtPMicGt6rkGhMfZFLl3qnRz6BqLFoJTnFn7inbc+vK2IefzdxolbC2QDywH38ex9d/YuSvdGnH8pTv8pTp47375xjXsvKj8eHR39AMEFZlhjDbsnyRzgdtEHCuCHXbdcigRIgARIgARI4HoCh38zJlUSIAESIAESIAESOJBAEc6tKGiDN2jQFtd5WC3QuYenb0//0kIeS3APRfGFj+4rB30a1X0hog/g5UhFLd98pkAboa3lnZsL3bQe8T6JxUlCLd92ek+mRLQzE9KLdD02gprx0RQYE7vNIV2XLw7WLDpZo10SGHunefWtVkEsJSYM2em7UmJ2bNbBtjPyvZZ1jDPYxw7VJM4nl2bJLd4jAO7IdNOjlDoPBsfo1FM+sfNWOXCyvFNb2iJ/qzi+XxjPu3Q1vz2KS/K6ThjsNDEvujeVPB23Uvj1kNMvOW4/QBw+ZJuf0jL1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                       {"annotations":[{"font":{"size":30},"showarrow":false,"text":"<a href='https://www.silviasbrainery.com/brainerywiz' style='opacity:0'>lllllllll</a>","x":0.01,"xanchor":"left","xref":"paper","y":0.91,"yanchor":"bottom","yref":"paper"},{"font":{"size":10},"showarrow":false,"text":"<a href='https://github.com/Silvia-s-Brainery/BraineryWiz/tree/main/Documentations' style='opacity:1'>Current Event: Sorry for our absence. We will comeback soon with new 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+
+</body></html></section>
+</section>
+
+
+                </article>
+              
+              
+              
+              
+              
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+                  <!-- Previous / next buttons -->
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+       title="previous page">
+      <i class="fa-solid fa-angle-left"></i>
+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">plot_legends Option</p>
+      </div>
+    </a>
+    <a class="right-next"
+       href="../plotdefo.html"
+       title="next page">
+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">next</p>
+        <p class="prev-next-title">PlotDefo Command (Plot Deformation)</p>
+      </div>
+      <i class="fa-solid fa-angle-right"></i>
+    </a>
+</div>
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+              
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+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=c5ced968eda925caa686"></script>
+
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+<div class="bd-footer__inner bd-page-width">
+  
+    <div class="footer-items__start">
+      
+        <div class="footer-item">
+  <p class="copyright">
+    
+      © Copyright 2023, Bijan Sayyafzaden - Silvia Mazzoni.
+      <br/>
+    
+  </p>
+</div>
+      
+        <div class="footer-item">
+  <p class="sphinx-version">
+    Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 6.1.3.
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+    <div class="footer-items__end">
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+        <div class="footer-item"><p class="theme-version">
+  Built with the <a href="https://pydata-sphinx-theme.readthedocs.io/en/stable/index.html">PyData Sphinx Theme</a> 0.14.2.
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\ No newline at end of file
diff --git a/docs/_sources/Python_Version/plotmodel.rst.txt b/docs/_sources/Python_Version/plotmodel.rst.txt
index 4661da0..9250003 100644
--- a/docs/_sources/Python_Version/plotmodel.rst.txt
+++ b/docs/_sources/Python_Version/plotmodel.rst.txt
@@ -31,4 +31,5 @@ PlotModel is the command that should be used to plot the model. The structure of
    plotmodel/quiver
    plotmodel/fibers
    plotmodel/integratepoints
-   plotmodel/legends
\ No newline at end of file
+   plotmodel/legends
+   plotmodel/verticalaxis
\ No newline at end of file
diff --git a/docs/_sources/Python_Version/plotmodel/verticalaxis.rst.txt b/docs/_sources/Python_Version/plotmodel/verticalaxis.rst.txt
new file mode 100644
index 0000000..db2da26
--- /dev/null
+++ b/docs/_sources/Python_Version/plotmodel/verticalaxis.rst.txt
@@ -0,0 +1,24 @@
+.. _plotmodelverticalpy:
+
+vertical_axis Option
+====================================================
+Using this option user can define the dimension related to vertical axis. BraineryWiz considers the 3rd value of the enetered points as the values related to the vertical axis. For other cases using this option users can determine the vertical axis dimension. (Default=3)
+
+Example
+--------
+
+.. code-block:: python
+   :caption: Example for vertical_axis=2
+   
+   import BraineryWiz as bz
+   
+   # ...
+   # Create the OpenSees model
+   # ...
+   
+   # Call PlotModel command 
+   bz.PlotModel(plotmode=3, vertical_axis=2)
+
+.. raw:: html
+       :file: files/vertical.html
+	   
\ No newline at end of file
diff --git a/docs/objects.inv b/docs/objects.inv
index 031f957..163be75 100644
Binary files a/docs/objects.inv and b/docs/objects.inv differ
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 53e8254..409a8a3 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/source/Python_Version/plotmodel.rst b/source/Python_Version/plotmodel.rst
index 4661da0..9250003 100644
--- a/source/Python_Version/plotmodel.rst
+++ b/source/Python_Version/plotmodel.rst
@@ -31,4 +31,5 @@ PlotModel is the command that should be used to plot the model. The structure of
    plotmodel/quiver
    plotmodel/fibers
    plotmodel/integratepoints
-   plotmodel/legends
\ No newline at end of file
+   plotmodel/legends
+   plotmodel/verticalaxis
\ No newline at end of file
diff --git a/source/Python_Version/plotmodel/files/vertical.html b/source/Python_Version/plotmodel/files/vertical.html
new file mode 100644
index 0000000..7e3e453
--- /dev/null
+++ b/source/Python_Version/plotmodel/files/vertical.html
@@ -0,0 +1,15 @@
+
+<!-- saved from url=(0067)file:///C:/Users/admin/Documents/GitHub/NewProject/BraineryWiz.html -->
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+<body>
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J,K,$=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-Y)+","+(p-W),transform:s(Y,W)}).style("stroke-width",V+6+"px").call(u.stroke,"rgba(0,0,0,0)").call(u.fill,"rgba(0,0,0,0)");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S("x",m(y,t,"x",T,e)),S("y",m(x,r,"y",T,e)),e.axref===e.xref&&S("ax",m(y,t,"ax",T,e)),e.ayref===e.yref&&S("ay",m(x,r,"ay",T,e)),G.attr("transform",s(t,r)),I.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr("transform")},moveFn:function(t,r){var 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n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},c={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void D();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var O=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(O.y-I.y,O.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function D(){t.style("stroke-dasharray","0px,100px")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},32745:function(t,e,r){"use strict";var n=r(92605),i=r(44317);t.exports={moduleType:"component",name:"annotations",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)("annotations"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){"use 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r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:"linear",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(".annotation-"+t.id).remove()}},20226:function(t,e,r){"use strict";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+"axis",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l("visible")&&(o(t,e,a.fullLayout,l),u("x"),u("y"),u("z"),n.noneOrAll(t,e,["x","y","z"]),e.xref="x",e.yref="y",e.zref="z",l("xanchor"),l("yanchor"),l("xshift"),l("yshift"),e.showarrow&&(e.axref="pixel",e.ayref="pixel",l("ax",-10),l("ay",-30),n.noneOrAll(t,e,["ax","ay"])))}t.exports=function(t,e,r){a(t,e,{name:"annotations",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){"use strict";var n=r(92605).drawRaw,i=r(63538),a=["x","y","z"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+"axis"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){"use strict";var n=r(73972),i=r(71828);t.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){"use strict";t.exports=r(63489),r(94338),r(3961),r(38751),r(86825),r(37715),r(99384),r(43805),r(88874),r(83290),r(29108),r(55422),r(94320),r(31320),r(51367),r(21457)},72201:function(t,e,r){"use strict";var n=r(7561),i=r(71828),a=r(50606),o=a.EPOCHJD,s=a.ONEDAY,l={valType:"enumerated",values:i.sortObjectKeys(n.calendars),editType:"calc",dflt:"gregorian"},u=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},c="##",f={d:{0:"dd","-":"d"},e:{0:"d","-":"d"},a:{0:"D","-":"D"},A:{0:"DD","-":"DD"},j:{0:"oo","-":"o"},W:{0:"ww","-":"w"},m:{0:"mm","-":"m"},b:{0:"M","-":"M"},B:{0:"MM","-":"MM"},y:{0:"yy","-":"yy"},Y:{0:"yyyy","-":"yyyy"},U:c,w:c,c:{0:"D M d %X yyyy","-":"D M d %X yyyy"},x:{0:"mm/dd/yyyy","-":"mm/dd/yyyy"}},h={};function p(t){var e=h[t];return e||(h[t]=n.instance(t))}function d(t){return i.extendFlat({},l,{description:t})}function v(t){return"Sets the calendar system to use with `"+t+"` date data."}var g={xcalendar:d(v("x"))},y=i.extendFlat({},g,{ycalendar:d(v("y"))}),m=i.extendFlat({},y,{zcalendar:d(v("z"))}),x=d(["Sets the calendar system to use for `range` and `tick0`","if this is a date axis. This does not set the calendar for","interpreting data on this axis, that's specified in the trace","or via the global `layout.calendar`"].join(" "));t.exports={moduleType:"component",name:"calendars",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d(["Sets the default calendar system to use for interpreting and","displaying dates throughout the plot."].join(" "))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d(["WARNING: All transforms are deprecated and may be removed from the API in next major version.","Sets the calendar system to use for `value`, if it is a date."].join(" ")),targetcalendar:d(["WARNING: All transforms are deprecated and may be removed from the API in next major version.","Sets the calendar system to use for `target`, if it is an","array of dates. 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i=0;i<r.length;i++)u(t,e,r[i]+"calendar",n.calendar)},CANONICAL_SUNDAY:{chinese:"2000-01-02",coptic:"2000-01-03",discworld:"2000-01-03",ethiopian:"2000-01-05",hebrew:"5000-01-01",islamic:"1000-01-02",julian:"2000-01-03",mayan:"5000-01-01",nanakshahi:"1000-01-05",nepali:"2000-01-05",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-04",thai:"2000-01-04",ummalqura:"1400-01-06"},CANONICAL_TICK:{chinese:"2000-01-01",coptic:"2000-01-01",discworld:"2000-01-01",ethiopian:"2000-01-01",hebrew:"5000-01-01",islamic:"1000-01-01",julian:"2000-01-01",mayan:"5000-01-01",nanakshahi:"1000-01-01",nepali:"2000-01-01",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-01",thai:"2000-01-01",ummalqura:"1400-01-01"},DFLTRANGE:{chinese:["2000-01-01","2001-01-01"],coptic:["1700-01-01","1701-01-01"],discworld:["1800-01-01","1801-01-01"],ethiopian:["2000-01-01","2001-01-01"],hebrew:["5700-01-01","5701-01-01"],islamic:["1400-01-01","1401-01-01"],julian:["2000-01-01","2001-01-01"],mayan:["5200-01-01","5201-01-01"],nanakshahi:["0500-01-01","0501-01-01"],nepali:["2000-01-01","2001-01-01"],persian:["1400-01-01","1401-01-01"],jalali:["1400-01-01","1401-01-01"],taiwan:["0100-01-01","0101-01-01"],thai:["2500-01-01","2501-01-01"],ummalqura:["1400-01-01","1401-01-01"]},getCal:p,worldCalFmt:function(t,e,r){for(var 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c,f=s[u],h=f+".camera",p=f+".aspectratio",d=f+".aspectmode",v=o[f]._scene;i?(l[h+".up"]=v.viewInitial.up,l[h+".eye"]=v.viewInitial.eye,l[h+".center"]=v.viewInitial.center,c=!0):a&&(l[h+".up"]=null,l[h+".eye"]=null,l[h+".center"]=null,c=!0),c&&(l[p+".x"]=v.viewInitial.aspectratio.x,l[p+".y"]=v.viewInitial.aspectratio.y,l[p+".z"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}n.call("_guiRelayout",t,l)}function d(t,e){var r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=["xaxis","yaxis","zaxis"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+".hovermode";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+"."+d+".showspikes";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if("zoom"===i){var f=c.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,u+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function y(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function m(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c="in"===r?1.05*u:u/1.05;o[l+".zoom"]=c}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}c.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return u(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(u(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(u(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(u(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(u(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},c.sendDataToCloud={name:"sendDataToCloud",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:"editInChartStudio",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:"zoom2d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:f},c.pan2d={name:"pan2d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:f},c.select2d={name:"select2d",_cat:"select",title:function(t){return u(t,"Box Select")},attr:"dragmode",val:"select",icon:o.selectbox,click:f},c.lasso2d={name:"lasso2d",_cat:"lasso",title:function(t){return u(t,"Lasso Select")},attr:"dragmode",val:"lasso",icon:o.lasso,click:f},c.drawclosedpath={name:"drawclosedpath",title:function(t){return u(t,"Draw closed freeform")},attr:"dragmode",val:"drawclosedpath",icon:o.drawclosedpath,click:f},c.drawopenpath={name:"drawopenpath",title:function(t){return u(t,"Draw open freeform")},attr:"dragmode",val:"drawopenpath",icon:o.drawopenpath,click:f},c.drawline={name:"drawline",title:function(t){return u(t,"Draw line")},attr:"dragmode",val:"drawline",icon:o.drawline,click:f},c.drawrect={name:"drawrect",title:function(t){return u(t,"Draw rectangle")},attr:"dragmode",val:"drawrect",icon:o.drawrect,click:f},c.drawcircle={name:"drawcircle",title:function(t){return u(t,"Draw circle")},attr:"dragmode",val:"drawcircle",icon:o.drawcircle,click:f},c.eraseshape={name:"eraseshape",title:function(t){return u(t,"Erase active shape")},icon:o.eraseshape,click:s},c.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},c.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},c.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return u(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},c.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return u(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},c.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return u(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},c.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return u(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},c.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},c.pan3d={name:"pan3d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},c.orbitRotation={name:"orbitRotation",title:function(t){return u(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},c.tableRotation={name:"tableRotation",title:function(t){return u(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},c.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return u(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},c.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return u(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},c.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},c.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:v},c.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return u(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:y},c.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:y},c.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:y},c.resetViewSankey={name:"resetSankeyGroup",title:function(t){return u(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},c.toggleHover={name:"toggleHover",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},c.resetViews={name:"resetViews",title:function(t){return u(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},c.toggleSpikelines={name:"toggleSpikelines",title:function(t){return u(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return u(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},c.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m}},93348:function(t,e,r){"use strict";var n=r(26023),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){"use strict";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(u,.3)),l("activecolor",i.addOpacity(u,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},64168:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"modebar",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){"use strict";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has("cartesian"),g=e._has("gl3d"),y=e._has("geo"),m=e._has("pie"),x=e._has("funnelarea"),b=e._has("gl2d"),_=e._has("ternary"),w=e._has("mapbox"),T=e._has("polar"),k=e._has("smith"),A=e._has("sankey"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=["toggleHover"],I=["resetViews"]):y?(P=["zoomInGeo","zoomOutGeo"],O=["hoverClosestGeo"],I=["resetGeo"]):g?(O=["hoverClosest3d"],I=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],O=["toggleHover"],I=["resetViewMapbox"]):b?O=["hoverClosestGl2d"]:m?O=["hoverClosestPie"]:A?(O=["hoverClosestCartesian","hoverCompareCartesian"],I=["resetViewSankey"]):O=["toggleHover"],v&&(O=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==I[0]&&(I=["resetScale2d"])),g?D=["zoom3d","pan3d","orbitRotation","tableRotation"]:(v||b)&&!M||_?D=["zoom2d","pan2d"]:w||y?D=["pan2d"]:T&&(D=["zoom2d"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e}(r)&&D.push("select2d","lasso2d");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&D.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){"use strict";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},89573:function(t){"use 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n=r(71828),i=r(44467),a=r(41675),o=r(75148),s=r(47850);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!u.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,"yaxis");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},72413:function(t,e,r){"use strict";var n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function y(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function m(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return v.rangePlotClassName+" "+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var 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i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return t._name}));u.exit().each((function(t){var r=t[v.name];e._topdefs.select("#"+r._clipId).remove()})).remove(),0!==r.length&&(u.enter().append("g").classed(v.containerClassName,!0).attr("pointer-events","all"),u.each((function(r){var a=n.select(this),l=r[v.name],u=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange("rangeslider.range");var A=e._size,M=r.domain;l._width=A.w*(M[1]-M[0]);var S=Math.round(A.l+A.w*M[0]),E=Math.round(A.t+A.h*(1-r._counterDomainMin)+("bottom"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr("transform",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var O=r.locateBreaks(L,C);if(O.length){var 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u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=D(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]}var l=I(r=o.getGraphDiv(r),n,i,a,s),c=e.redraw(r),f=[r,l.update,i,l.maxPoints];return u.add(r,e.extendTraces,f,t,arguments),c},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[r,i,a]))return 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e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=ot,r._calcInverseTransform(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(y.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var 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s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._selectionLayer=r._toppaper.append("g").classed("selectionlayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}(t),v._shouldCreateBgLayer&&delete v._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},v._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),v._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&h.allowAutoMargin(t,"pie."+n.uid+".automargin")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod("rangeslider","calcAutorange")(t))}var E=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=v._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!v._glcanvas&&v._has("gl")&&(v._glcanvas=v._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),v._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"}));var i=t._context.plotGlPixelRatio;if(v._glcanvas){v._glcanvas.attr("width",v.width*i).attr("height",v.height*i).style("width",v.width+"px").style("height",v.height+"px");var a=v._glcanvas.data()[0].regl;if(a&&(Math.floor(v.width*i)!==a._gl.drawingBufferWidth||Math.floor(v.height*i)!==a._gl.drawingBufferHeight)){var s="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!k)return o.log(s+" Clearing graph and plotting 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C=o.syncOrAsync(E,t);return C&&C.then||(C=Promise.resolve()),C.then((function(){return M(t),t}))},e.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},e.react=function(t,r,n,i){var a,l;t=o.getGraphDiv(t),_.clearPromiseQueue(t);var u=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&u&&p){if(o.isPlainObject(r)){var d=r;r=d.data,n=d.layout,i=d.config,a=d.frames}var v=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,L(t,i),v=at(g,t._context)}t.data=r||[],_.cleanData(t.data),t.layout=n||{},_.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,u,c,f,h,p,d,v,g=n._preGUI,y=[],m={},x={};for(i in g){if(c=Q(i,K)){if(d=c.head,v=c.tail,a=c.attr||d+".uirevision",(u=(l=s(n,a).get())&&tt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),nt(p=(h=s(e,i)).get(),f)){void 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"+i+" in trace uid "+E);delete C[i]}}}(t.data,t.layout,u,p),h.supplyDefaults(t,{skipUpdateCalc:!0});var y=t._fullData,m=t._fullLayout,x=void 0===m.datarevision,b=m.transition,k=function(t,e,r,n,i){var a=T.layoutFlags();return a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,it(e,r,[],{getValObject:function(t){return f.getLayoutValObject(r,t)},flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some"),a}(t,p,m,x,b),A=k.newDataRevision,S=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,u=T.traceFlags();u.arrays={},u.nChanges=0,u.nChangesAnim=0;var c={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:u,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],c)}return(u.calc||u.plot)&&(u.fullReplot=!0),i&&u.nChanges&&u.nChangesAnim&&(u.anim=u.nChanges===u.nChangesAnim&&o?"all":"some"),u}(t,u,y,x,b,A);if(W(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(m),C=0;C<E.length;C++){var P=E[C],O=P.substring(0,5);if("xaxis"===O||"yaxis"===O){var I=m[P]._emptyCategories;I&&I()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,y);var D=[];if(a&&(t._transitionData={},h.createTransitionData(t),D.push((function(){return e.addFrames(t,a)}))),m.transition&&!v&&(S.anim||k.anim))k.ticks&&D.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),D.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in k.arrays){var F=k.arrays[z];if(F.length){var B=c.getComponentMethod(z,"drawOne");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=c.getComponentMethod(z,"draw");if(j===o.noop)throw new Error("cannot draw components: "+z);j(t)}}}D.push(h.previousPromises),S.style&&D.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&D.push(w.doColorBars),k.legend&&D.push(w.doLegend),k.layoutstyle&&D.push(w.layoutStyles),k.axrange&&H(D),k.ticks&&D.push(w.doTicksRelayout),k.modebar&&D.push(w.doModeBar),k.camera&&D.push(w.doCamera),D.push(M)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit("plotly_react",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return _.cleanData(t.data),_.cleanLayout(t.layout),t.calcdata=void 0,e._doPlot(t).then((function(){return t.emit("plotly_redraw"),t}))},e.relayout=U,e.restyle=z,e.setPlotConfig=function(t){return o.extendFlat(x,t)},e.update=X,e._guiRelayout=J(U),e._guiRestyle=J(z),e._guiUpdate=J(X),e._storeDirectGUIEdit=function(t,e,r){for(var n in r)B(n,s(t,n).get(),r[n],e)}},72075:function(t){"use strict";var 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o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||("x"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||("x"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St="x",Lt.attr("d",function(t,e){return"M"+(t.l-.5)+","+(e-P-.5)+"h-3v"+(2*P+1)+"h3ZM"+(t.r+.5)+","+(e-P-.5)+"h3v"+(2*P+1)+"h-3Z"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St="y",Lt.attr("d",function(t,e){return"M"+(e-P-.5)+","+(t.t-.5)+"v-3h"+(2*P+1)+"v3ZM"+(e-P-.5)+","+(t.b+.5)+"v3h"+(2*P+1)+"v-3Z"}(Tt,_t))):(St="xy",Lt.attr("d",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit("plotly_relayouting",ht),Mt=!0}function zt(){ht={},"xy"!==St&&"x"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt("x",ht)),"xy"!==St&&"y"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt("y",ht))}function Rt(){zt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":m(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||("zoom"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(vt,kt,$,Q,At="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(vt,$,Q)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt("x")),at&&(F(K,r),Vt("y")),Zt([n,i,tt,et]),Ht(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(J,0,e):"e"===it?e=p(J,1,-e):it||(e=0),"n"===at?r=p(K,1,r):"s"===at?r=p(K,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt("x"),nt.isSubplotConstrained&&it||Vt("y");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Zt([o,s,f,h]),Ht(),t.emit("plotly_relayouting",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+"axes"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+".range[0]"]=e[l._name+".range[0]"],e[a._name+".range[1]"]=e[l._name+".range[1]"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||"sync"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,"xaxis")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,"yaxis")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+".range[0]"]=s.range[0],ht[s._name+".range[1]"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if("reset+autosize"===e)for(e="autosize",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e="reset";break}if("autosize"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+".autorange"]=!0);else if("reset"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+".range[0]"]=a[0],o[n._name+".range[1]"]=a[1]):o[n._name+".autorange"]=!0);t.emit("plotly_doubleclick",null),l.call("_guiRelayout",t,o)}}function Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call("_guiRelayout",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b="ns"===at?-e[1]*a._length/I._length:Xt(a,m,{n:"top",s:"bottom"}[at])):b=Wt(a,m=Yt(a,d,g)),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/O._length:Xt(o,x,{e:"right",w:"left"}[it])):T=Wt(o,x=Yt(o,d,g)),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(".nsewdrag").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt("x"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt("y"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit("plotly_relayouting",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log("Did not find wheel motion attributes: ",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){"use strict";var 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e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,"projection.scale":n.scale},e=t._isScoped?{"center.lon":r.lon,"center.lat":r.lat}:t._isClipped?{"projection.rotation.lon":i.lon,"projection.rotation.lat":i.lat}:{"center.lon":r.lon,"center.lat":r.lat,"projection.rotation.lon":i.lon},u.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?c(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?"none":null}for(t in this.basePaths)this.basePaths[t].attr("d",r);for(t in this.dataPaths)this.dataPaths[t].attr("d",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr("display",i).attr("transform",n)}},44622:function(t,e,r){"use strict";var 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a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){"use strict";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var u=c(t,"gl2d",o);0===u.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){"use strict";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},58547:function(t,e,r){"use strict";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},77894:function(t,e,r){"use strict";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 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204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},3277:function(t,e,r){"use strict";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},30422:function(t,e,r){"use strict";var n=r(78614),i=r(71828),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open 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s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){"use strict";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){"use strict";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},13133:function(t,e,r){"use strict";var n=r(78614),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},63538:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){"use strict";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085);function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var T=!0;w.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!T||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return T=!1,r},w.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(c.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: 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C=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:c.name,color:d.castHoverOption(_,w,"bgcolor")||c.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var 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f=t.selectAll("g.points").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append("g").attr("class","points"),f.exit().remove();var h=f.selectAll("path").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;"all"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);"h"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),"suspectedoutliers"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append("path").classed("point",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Z,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var W=I.selectAll("g.bullet").data(R?e:[]);W.exit().remove();var X=I.selectAll("g.bulletaxis").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var _=y.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},57920:function(t,e,r){"use 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k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var 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u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},71791:function(t,e,r){"use strict";t.exports={attributes:r(73362),supplyDefaults:r(3633),calc:r(24639),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(49351),categories:["gl","regl","noOpacity","noHover"],meta:{}}},49351:function(t,e,r){"use strict";var n=r(39898),i=r(27659).a0,a=r(21341),o=r(77922);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},24639:function(t,e,r){"use strict";var n=r(71828).isArrayOrTypedArray,i=r(21081),a=r(28984).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},25706:function(t){"use 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n=r(71828),i=r(52075).hasColorscale,a=r(1586),o=r(27670).c,s=r(85501),l=r(89298),u=r(73362),c=r(57920),f=r(25706).maxDimensionCount,h=r(94397);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return 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p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=r(25706).maxDimensionCount,s=r(71828),l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var 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O(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},c)))}return{render:function(t,e,n){var i,a,o,s=t.length,u=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<u&&(u=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i.coerce(t,e,a,r,n)}var c=l(u("labels"),u("values")),f=c.len;if(e._hasLabels=c.hasLabels,e._hasValues=c.hasValues,!e._hasLabels&&e._hasValues&&(u("label0"),u("dlabel")),f){e._length=f,u("marker.line.width")&&u("marker.line.color"),u("marker.colors"),u("scalegroup");var h,p=u("text"),d=u("texttemplate");if(d||(h=u("textinfo",Array.isArray(p)?"text+percent":"percent")),u("hovertext"),u("hovertemplate"),d||h&&"none"!==h){var v=u("textposition");s(t,e,n,u,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(v)||"auto"===v||"outside"===v)&&u("automargin"),("inside"===v||"auto"===v||Array.isArray(v))&&u("insidetextorientation")}o(e,n,u);var g=u("hole");if(u("title.text")){var y=u("title.position",g?"middle center":"top center");g||"middle center"!==y||(e.title.position="top center"),i.coerceFont(u,"title.font",n.font)}u("sort"),u("direction"),u("rotation"),u("pull")}else e.visible=!1}}},20007:function(t,e,r){"use strict";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},53581:function(t,e,r){"use strict";var n=r(71828);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 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b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 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a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,u=o.split("+"),c=function(t){return-1!==u.indexOf(t)},f=c("label"),h=c("text"),p=c("value"),d=c("percent"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var i,u,c,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,v=n?t.yLabelMax:t.yLabelMin,y=t.cyFinal+o(t.px0[1],t.px1[1]),m=p-d;if(m*l>0&&(t.labelExtraY=m),Array.isArray(e.pull))for(u=0;u<f.length;u++)(c=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,c.pts)||0)||((t.pxmid[1]-c.pxmid[1])*l>0?(m=c.cyFinal+o(c.px0[1],c.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=m):(v+t.labelExtraY-y)*l>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(h=c.cxFinal+a(c.px0[0],c.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?v:y,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),c=t[1-n][r],f=c.concat(u),p=[],h=0;h<u.length;h++)void 0!==u[h].yLabelMid&&p.push(u[h]);for(d=!1,h=0;n&&h<c.length;h++)if(void 0!==c[h].yLabelMid){d=c[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),m(p[h],x)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},68357:function(t,e,r){"use strict";var n=r(39898),i=r(63463),a=r(72597).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},63463:function(t,e,r){"use strict";var n=r(7901),i=r(53581).castOption;t.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},10959:function(t,e,r){"use strict";var n=r(82196);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},42743:function(t,e,r){"use 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+(n.rightInnerExtent-e)+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr("d",M())}function P(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function D(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},47581:function(t){"use strict";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){"use strict";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}t.exports=function(t,e){"group"===t._fullLayout.scattermode&&function(t,e){for(var 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n=r(5386).f,i=r(5386).s,a=r(82196),o=r(9012),s=r(50693),l=r(79952).P,u=r(1426).extendFlat,c=r(30962).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(H),m.line2d&&m.line2d.update(H),m.error2d&&m.error2d.update(H.concat(H)),m.scatter2d&&m.scatter2d.update(H),m.select2d&&m.select2d.update(H),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},38967:function(t,e,r){"use strict";var n=r(71828);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},99181:function(t,e,r){"use strict";var n=r(5386).f,i=r(5386).s,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:"boolean"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:"number",arrayOk:!0,dflt:-1,min:-1},size:{valType:"number",arrayOk:!0,dflt:20,min:0},color:{valType:"color",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:"markers"}),text:c({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},15790:function(t,e,r){"use 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).f,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n("",{colorAttr:"u/v/w 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v=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),y=d(e._Zs,"zaxis");if(f.meshgrid=[v,g,y],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var m=g[0],x=h(v),b=h(y),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],m,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(v),L=p(g),C=p(y),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],O=n(f,P),I=s(e);O.vertexIntensityBounds=[I.min/e._normMax,I.max/e._normMax];var D=e.lightposition;return O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var 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l=s("u"),u=s("v"),c=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&u&&u.length&&c&&c.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},61510:function(t,e,r){"use strict";t.exports={moduleType:"trace",name:"streamtube",basePlotModule:r(58547),categories:["gl3d","showLegend"],attributes:r(21850),supplyDefaults:r(22459),colorbar:{min:"cmin",max:"cmax"},calc:r(88489).calc,plot:r(90154),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},57564:function(t,e,r){"use strict";var n=r(9012),i=r(5386).f,a=r(5386).s,o=r(50693),s=r(27670).Y,l=r(34e3),u=r(7055),c=r(1426).extendFlat;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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n=r(674),i=r(92770),a=r(71828),o=r(21081).makeColorScaleFuncFromTrace,s=r(32354).makePullColorFn,l=r(32354).generateExtendedColors,u=r(21081).calc,c=r(50606).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||"number"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return M(x[t])&&S(t)},f=function(t){return String(x[t])}),w&&(r=Math.min(r,_.length));for(var E=0;E<r;E++)if(l(E)){var L=f(E),C=M(b[E])?String(b[E]):"",P={i:E,id:L,pid:C,label:M(x[E])?String(x[E]):""};w&&(P.v=+_[E]),T.push(P),p=L,k[h=C]?k[h].push(p):k[h]=[p],A[p]=1}if(k[""]){if(k[""].length>1){for(var O=a.randstr(),I=0;I<T.length;I++)""===T[I].pid&&(T[I].pid=O);T.unshift({hasMultipleRoots:!0,id:O,pid:"",label:""})}}else{var D,z=[];for(D in k)A[D]||z.push(D);if(1!==z.length)return a.warn(["Multiple implied roots, cannot build",e.type,"hierarchy of",e.name+".","These roots include:",z.join(", ")].join(" "));D=z[0],T.unshift({hasImpliedRoot:!0,id:D,pid:"",label:D})}try{v=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(T)}catch(t){return a.warn(["Failed to build",e.type,"hierarchy of",e.name+".","Error:",t.message].join(" "))}var R=n.hierarchy(v),F=!1;if(w)switch(e.branchvalues){case"remainder":R.sum((function(t){return t.data.v}));break;case"total":R.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*c)return F=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else d(R,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),u(t,e,{vals:j,containerStr:"marker",cLetter:"c"}),N=o(e.marker)):B=s(g["_"+e.type+"colormap"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id)})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function u(t){var e=t.data.data,r=e.id;!1===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[s%i.length],s++):e.color=o)}for(var c=0;c<n.length;c++){var d=n[c][0];d.trace.type===t&&d.hierarchy&&(o=d.trace.root.color,d.hierarchy.each(u))}},e.crossTraceCalc=function(t){return e._runCrossTraceCalc("sunburst",t)}},7055:function(t){"use strict";t.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"linear",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"]}},17094:function(t,e,r){"use strict";var n=r(71828),i=r(57564),a=r(27670).c,o=r(90769).handleText,s=r(21081),l=s.hasColorscale,u=s.handleDefaults;t.exports=function(t,e,r,s){function c(r,a){return n.coerce(t,e,i,r,a)}var f=c("labels"),h=c("parents");if(f&&f.length&&h&&h.length){var p=c("values");p&&p.length?c("branchvalues"):c("count"),c("level"),c("maxdepth"),c("marker.line.width")&&c("marker.line.color",s.paper_bgcolor),c("marker.colors");var d=e._hasColorscale=l(t,"marker","colors")||(t.marker||{}).coloraxis;d&&u(t,e,s,c,{prefix:"marker.",cLetter:"c"}),c("leaf.opacity",d?1:.7);var v=c("text");c("texttemplate"),e.texttemplate||c("textinfo",Array.isArray(v)?"text+label":"label"),c("hovertext"),c("hovertemplate"),o(t,e,s,c,"auto",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),c("insidetextorientation"),c("sort"),c("rotation"),c("root.color"),a(e,s,c),e._length=null}else e.visible=!1}},83523:function(t,e,r){"use strict";var n=r(39898),i=r(73972),a=r(23469).appendArrayPointValue,o=r(30211),s=r(71828),l=r(11086),u=r(2791),c=r(53581).formatPieValue;function f(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!u.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,v=p.hierarchy,g="sunburst"===d.type,y="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1),t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,m=r._fullData[d.index],x=i.data.data,b=x.i,_=u.isHierarchyRoot(i),w=u.getParent(v,i),T=u.getValue(i),k=function(t){return s.castOption(m,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(m,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,L=i._hoverY);var C,P={},O=[],I=[],D=function(t){return-1!==O.indexOf(t)};M&&(O="all"===M?m._module.attributes.hoverinfo.flags:M.split("+")),P.label=x.label,D("label")&&P.label&&I.push(P.label),x.hasOwnProperty("v")&&(P.value=x.v,P.valueLabel=c(P.value,S),D("value")&&I.push(P.valueLabel)),P.currentPath=i.currentPath=u.getPath(i.data),D("current path")&&!_&&I.push(P.currentPath);var z=[],R=function(){-1===z.indexOf(C)&&(I.push(C),z.push(C))};P.percentParent=i.percentParent=T/u.getValue(w),P.parent=i.parentString=u.getPtLabel(w),D("percent parent")&&(C=u.formatPercent(P.percentParent,S)+" of "+P.parent,R()),P.percentEntry=i.percentEntry=T/u.getValue(e),P.entry=i.entry=u.getPtLabel(e),!D("percent entry")||_||i.onPathbar||(C=u.formatPercent(P.percentEntry,S)+" of "+P.entry,R()),P.percentRoot=i.percentRoot=T/u.getValue(v),P.root=i.root=u.getPtLabel(v),D("percent root")&&!_&&(C=u.formatPercent(P.percentRoot,S)+" of "+P.root,R()),P.text=k("hovertext")||k("text"),D("text")&&(C=P.text,s.isValidTextValue(C)&&I.push(C)),l=[f(i,m,h.eventDataKeys)];var F={trace:m,y:L,_x0:i._x0,_x1:i._x1,_y0:i._y0,_y1:i._y1,text:I.join("<br>"),name:A||D("name")?m.name:void 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i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select("path.surface");h.styleOne(l,s,a,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,"plotly_"+d.type+"click",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},43768:function(t,e,r){"use strict";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new 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A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in 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e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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p=l[f-2];if(p.left===h)if(h.left===s){if(!(d=p.right)||0!==d._color){p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).left===p?v.left=h:v.right=h);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){h.right=s.left,p._color=0,p.left=s.right,s._color=1,s.left=h,s.right=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).left===p?v.left=s:v.right=s);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(c=!0),a("tickSize"),a("tickAngle"),a("tickPad"),u("tickColor");var v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, 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v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function v(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=v(t,n),c=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));c.generateMipmap(),c.minFilter=t.LINEAR_MIPMAP_LINEAR,c.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,c,s,l,f,p,m,g,y,x,r.traceType||"cone");return b.update(e),b}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){if(u+=g[p]+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),u=L(t),f=C(t),h=P(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:y,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,u,f,h,d,m,v,g,y,x,b,k,_,w,A,O,R,I,D,z,F,B,N);return j.update(e),j}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2861)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:40,offset:0},{buffer:u,size:3,stride:40,offset:16},{buffer:u,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var w in t)y[w]=t[w];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function M(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=w.slice(),I=[1,0,0,0,1,0,0,0,1];function D(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=C(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return D.call(this,t,!1)},S.drawTransparent=function(t){return D.call(this,t,!0)};var z={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=z;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),k=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+T[q][0],Y=y+T[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];N[j++]=Z,N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst 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maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding 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u=t.family.join(", "),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:"top",fontSize:T.baseFontSize,fontStyle:c.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var H=z.kerning[N+B];H&&(V+=.001*H)}P[2*I+1]=V}else 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0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+="number"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var q;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=c.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)q.set(l(Z(Y,Y+4),"uint8"),Y)}else{var W=t.color.length;q=c.mallocUint8(4*W);for(var X=0;X<W;X++)q.set(l(t.color[X]||0,"uint8"),4*X)}this.color=q}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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un=function(t,e){this._parameters=t,this._specification=e,Rt(this,Jr(this._parameters,this._specification))};function cn(t){var e=null;if(t instanceof xr)e=cn(t.result);else if(t instanceof mr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=cn(i))break}else(t instanceof Je||t instanceof gr)&&t.input instanceof ke&&"zoom"===t.input.name&&(e=t);return e instanceof Nt||t.eachChild((function(t){var r=cn(t);r instanceof Nt?e=r:!e&&r?e=new Nt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):e&&r&&e!==r&&(e=new Nt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))})),e}function fn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Yr(r);if("object"!==l)return[new Dt(e,r,"object expected, "+l+" found")];for(var u in r){var c=u.split(".")[0],f=n[c]||n["*"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Bn;else if(i["*"])h=i["*"];else{if(!n["*"]){s.push(new Dt(e,r[u],'unknown property "'+u+'"'));continue}h=Bn}s=s.concat(h({key:(e?e+".":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Dt(e,r,'missing required property "'+p+'"'));return s}function hn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Bn;if("array"!==Yr(e))return[new Dt(a,e,"array expected, "+Yr(e)+" found")];if(r.length&&e.length!==r.length)return[new Dt(a,e,"array length "+r.length+" expected, length "+e.length+" found")];if(r["min-length"]&&e.length<r["min-length"])return[new Dt(a,e,"array length at least "+r["min-length"]+" expected, length "+e.length+" found")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),"object"===Yr(r.value)&&(s=r.value);for(var 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e=e.concat(hn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Yr(r)&&0===r.length&&e.push(new Dt(t.key,r,"array must have at least one stop")),e},default:function(t){return Bn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&c.push(new Dt(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||c.push(new Dt(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Zr(t.valueSpec)&&c.push(new Dt(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!qr(t.valueSpec)?c.push(new Dt(t.key,t.value,"property functions not supported")):s&&!Gr(t.valueSpec)&&c.push(new Dt(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!u||void 0!==t.value.property||c.push(new Dt(t.key,t.value,'"property" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if("array"!==Yr(a))return[new Dt(s,a,"array expected, "+Yr(a)+" found")];if(2!==a.length)return[new Dt(s,a,"array length 2 expected, length "+a.length+" found")];if(u){if("object"!==Yr(a[0]))return[new Dt(s,a,"object expected, "+Yr(a[0])+" found")];if(void 0===a[0].zoom)return[new Dt(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new Dt(s,a,"object stop key must have value")];if(n&&n>Ft(a[0].zoom))return[new Dt(s,a[0].zoom,"stop zoom values must appear in ascending order")];Ft(a[0].zoom)!==n&&(n=Ft(a[0].zoom),r=void 0,o={}),e=e.concat(fn({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:pn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return nn(Bt(a[1]))?e.concat([new Dt(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(Bn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Yr(t.value),l=Ft(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Dt(t.key,u,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Dt(t.key,u,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var c="number expected, "+s+" found";return qr(i)&&void 0===a&&(c+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Dt(t.key,u,c)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new Dt(t.key,u,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new Dt(t.key,u,"stop domain values must be unique")]:(o[l]=!0,[])):[new Dt(t.key,u,"integer expected, found "+l)]}}function vn(t){var e=("property"===t.expressionContext?ln:an)(Bt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Dt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Dt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!qe(r))return[new Dt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!qe(r))return[new Dt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ge(r,["zoom","feature-state"]))return[new Dt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!He(r))return[new Dt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function gn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ft(r))&&i.push(new Dt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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xn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};yn(t)||(t=wn(t));var e=an(t,mn);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:_n(t)}}function bn(t,e){return t<e?-1:t>e?1:0}function _n(t){if(!Array.isArray(t))return!1;if("within"===t[0])return!0;for(var e=1;e<t.length;e++)if(_n(t[e]))return!0;return!1}function wn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Tn(t[1],t[2],"=="):"!="===r?Mn(Tn(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Tn(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(wn))):"all"===r?["all"].concat(t.slice(1).map(wn)):"none"===r?["all"].concat(t.slice(1).map(wn).map(Mn)):"in"===r?kn(t[1],t.slice(2)):"!in"===r?Mn(kn(t[1],t.slice(2))):"has"===r?An(t[1]):"!has"===r?Mn(An(t[1])):"within"!==r||t}function Tn(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function kn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(bn)]]:["filter-in-small",t,["literal",e]]}}function An(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function Mn(t){return["!",t]}function Sn(t){return yn(Bt(t.value))?vn(Rt({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):En(t)}function En(t){var e=t.value,r=t.key;if("array"!==Yr(e))return[new Dt(r,e,"array expected, "+Yr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Dt(r,e,"filter array must have at least 1 element")];switch(a=a.concat(gn({key:r+"[0]",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ft(e[0])){case"<":case"<=":case">":case">=":e.length>=2&&"$type"===Ft(e[1])&&a.push(new Dt(r,e,'"$type" cannot be use with operator "'+e[0]+'"'));case"==":case"!=":3!==e.length&&a.push(new Dt(r,e,'filter array for operator "'+e[0]+'" must have 3 elements'));case"in":case"!in":e.length>=2&&"string"!==(n=Yr(e[1]))&&a.push(new Dt(r+"[1]",e[1],"string expected, "+n+" found"));for(var o=2;o<e.length;o++)n=Yr(e[o]),"$type"===Ft(e[1])?a=a.concat(gn({key:r+"["+o+"]",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):"string"!==n&&"number"!==n&&"boolean"!==n&&a.push(new Dt(r+"["+o+"]",e[o],"string, number, or boolean expected, "+n+" found"));break;case"any":case"all":case"none":for(var s=1;s<e.length;s++)a=a.concat(En({key:r+"["+s+"]",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case"has":case"!has":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new Dt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new Dt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function Ln(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Dt(r,a,'unknown property "'+o+'"')];if("string"===Yr(a)&&qr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Dt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Dt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Wr(Bt(a))&&"identity"===Ft(a.type)&&f.push(new Dt(r,a,'"text-font" does not support identity functions'))),f.concat(Bn({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function Cn(t){return Ln(t,"paint")}function Pn(t){return Ln(t,"layout")}function On(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Dt(n,r,'either "type" or "ref" is required'));var o,s=Ft(r.type),l=Ft(r.ref);if(r.id)for(var u=Ft(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Ft(f.id)===u&&e.push(new Dt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Dt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Dt(n,r,'missing required property "source"'));return e=e.concat(fn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Bn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:Sn,layout:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Pn(Rt({layerType:s},t))}}})},paint:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Cn(Rt({layerType:s},t))}}})}}})),e}function In(t){var e=t.value,r=t.key,n=Yr(e);return"string"!==n?[new Dt(r,e,"string expected, "+n+" found")]:[]}var Dn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Yr(r))return In({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,In({key:e+"."+i,value:r[i]}));return 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n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+"-transition"]=a)}return t},Ci.prototype.transitioned=function(t,e){for(var r=new Oi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Ci.prototype.untransitioned=function(){for(var t=new Oi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Pi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Pi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var 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t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Ii.prototype.possiblyEvaluate=function(t,e,r){for(var n=new zi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Di=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Di.prototype.isConstant=function(){return"constant"===this.value.kind},Di.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Di.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var zi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};zi.prototype.get=function(t){return this._values[t]};var Ri=function(t){this.specification=t};Ri.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},Ri.prototype.interpolate=function(t,e,r){var n=$e[this.specification.type];return n?n(t,e,r):t};var Fi=function(t,e){this.specification=t,this.overrides=e};Fi.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Di(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Di(this,t.expression,e)},Fi.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Di(this,{kind:"constant",value:void 0},t.parameters);var n=$e[this.specification.type];return n?new Di(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Fi.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Di(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Di(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Di(this,{kind:"constant",value:s},e)}return new Di(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Fi),Ni=function(t){this.specification=t};Ni.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Si(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Si(Math.floor(e.zoom),e)),t.expression.evaluate(new Si(Math.floor(e.zoom+1),e)),e)}},Ni.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ni.prototype.interpolate=function(t){return t};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},ji.prototype.interpolate=function(){return!1};var Ui=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Ei(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Li(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Qn("DataDrivenProperty",Fi),Qn("DataConstantProperty",Ri),Qn("CrossFadedDataDrivenProperty",Bi),Qn("CrossFadedProperty",Ni),Qn("ColorRampProperty",ji);var Vi="-transition",Hi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Ii(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Ci(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new zi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(Zn,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Vi)?this._transitionablePaint.getTransition(t.slice(0,-Vi.length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Gn,n,t,e,r))return!1}if(y(t,Vi))return this._transitionablePaint.setTransition(t.slice(0,-Vi.length),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Yn(this,t.call(Hn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:It,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Di&&qr(e.property.specification)&&("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Ot),qi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Gi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Zi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Yi(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,qi[i].BYTES_PER_ELEMENT),o=r=Wi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Wi(r,Math.max(n,e)),alignment:e}}function Wi(t,e){return Math.ceil(t/e)*e}Zi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Zi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Zi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Zi.prototype.clear=function(){this.length=0},Zi.prototype.resize=function(t){this.reserve(t),this.length=t},Zi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Zi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Zi);Xi.prototype.bytesPerElement=4,Qn("StructArrayLayout2i4",Xi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Zi);Ji.prototype.bytesPerElement=8,Qn("StructArrayLayout4i8",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Zi);Ki.prototype.bytesPerElement=12,Qn("StructArrayLayout2i4i12",Ki);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Zi);$i.prototype.bytesPerElement=8,Qn("StructArrayLayout2i4ub8",$i);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Zi);Qi.prototype.bytesPerElement=18,Qn("StructArrayLayout8ui2ub18",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Zi);ta.prototype.bytesPerElement=24,Qn("StructArrayLayout4i4ui4i24",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Zi);ea.prototype.bytesPerElement=12,Qn("StructArrayLayout3f12",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Zi);ra.prototype.bytesPerElement=4,Qn("StructArrayLayout1ul4",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Zi);na.prototype.bytesPerElement=20,Qn("StructArrayLayout6i1ul2ui20",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Zi);ia.prototype.bytesPerElement=12,Qn("StructArrayLayout2i2i2i12",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Zi);aa.prototype.bytesPerElement=16,Qn("StructArrayLayout2f1f2i16",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Zi);oa.prototype.bytesPerElement=12,Qn("StructArrayLayout2ub2f12",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Zi);sa.prototype.bytesPerElement=6,Qn("StructArrayLayout3ui6",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Zi);la.prototype.bytesPerElement=48,Qn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Zi);ua.prototype.bytesPerElement=68,Qn("StructArrayLayout8i15ui1ul4f68",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zi);ca.prototype.bytesPerElement=4,Qn("StructArrayLayout1f4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Zi);fa.prototype.bytesPerElement=6,Qn("StructArrayLayout3i6",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Zi);ha.prototype.bytesPerElement=8,Qn("StructArrayLayout1ul2ui8",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zi);pa.prototype.bytesPerElement=4,Qn("StructArrayLayout2ui4",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zi);da.prototype.bytesPerElement=2,Qn("StructArrayLayout1ui2",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zi);va.prototype.bytesPerElement=8,Qn("StructArrayLayout2f8",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Zi);ga.prototype.bytesPerElement=16,Qn("StructArrayLayout4f16",ga);var ya=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Gi);ya.prototype.size=20;var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ya(this,t)},e}(na);Qn("CollisionBoxArray",ma);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Gi);xa.prototype.size=48;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(la);Qn("PlacedSymbolArray",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Gi);_a.prototype.size=68;var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new _a(this,t)},e}(ua);Qn("SymbolInstanceArray",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ca);Qn("GlyphOffsetArray",Ta);var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(fa);Qn("SymbolLineVertexArray",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Gi);Aa.prototype.size=8;var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Aa(this,t)},e}(ha);Qn("FeatureIndexArray",Ma);var Sa=Yi([{name:"a_pos",components:2,type:"Int16"}],4).members,Ea=function(t){void 0===t&&(t=[]),this.segments=t};function La(t,e){return 256*(t=u(Math.floor(t),0,255))+u(Math.floor(e),0,255)}Ea.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Ea.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Ea.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Ea.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},Ea.prototype.get=function(){return this.segments},Ea.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},Ea.simpleSegment=function(t,e,r,n){return new Ea([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},Ea.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Qn("SegmentVector",Ea);var Ca=Yi([{name:"a_pattern_from",components:4,type:"Uint16"},{name:"a_pattern_to",components:4,type:"Uint16"},{name:"a_pixel_ratio_from",components:1,type:"Uint8"},{name:"a_pixel_ratio_to",components:1,type:"Uint8"}]),Pa=e((function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,u;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,u=0;u<n;)l=255&t.charCodeAt(u)|(255&t.charCodeAt(++u))<<8|(255&t.charCodeAt(++u))<<16|(255&t.charCodeAt(++u))<<24,++u,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(u+2))<<16;case 2:l^=(255&t.charCodeAt(u+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(u)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}})),Oa=e((function(t){t.exports=function(t,e){for(var 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Di&&qr(o.property.specification)){var s=io(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new $a(l.value,s):new Ka(l.value,s,u),i.push("/u_"+a);else if("source"===l.kind||h){var p=ao(a,u,"source");this.binders[a]=h?new eo(l,u,c,e,p,t.id):new Qa(l,s,u,p),i.push("/a_"+a)}else{var d=ao(a,u,"composite");this.binders[a]=new to(l,s,u,c,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ro.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Qa||e instanceof to?e.maxValue:0},ro.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Qa||o instanceof to||o instanceof eo)&&o.populatePaintArray(t,e,r,n,i)}},ro.prototype.setConstantPatternPositions=function(t,e){for(var r in 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n={color:{source:va,composite:ga},number:{source:ca,composite:va}},i=function(t){return{"line-pattern":{source:Qi,composite:Qi},"fill-pattern":{source:Qi,composite:Qi},"fill-extrusion-pattern":{source:Qi,composite:Qi}}[t]}(t);return i&&i[r]||n[e][r]}no.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},no.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},no.prototype.get=function(t){return this.programConfigurations[t]},no.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},no.prototype.destroy=function(){for(var t in 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vo(Mo(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Hi),Fs=Yi([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,Bs=Ns;function Ns(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(js,this,e)}function js(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function Us(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ns.types=["Unknown","Point","LineString","Polygon"],Ns.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,s=0,l=[];t.pos<r;){if(i<=0){var u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ns.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ns.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ns.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Us(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Vs=Hs;function Hs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(qs,this,e),this.length=this._features.length}function qs(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Gs(t,e,r){if(3===t){var n=new Vs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Hs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Bs(this._pbf,e,this.extent,this._keys,this._values)};var Zs={VectorTile:function(t,e){this.layers=t.readFields(Gs,{},e)},VectorTileFeature:Bs,VectorTileLayer:Vs},Ys=Zs.VectorTileFeature.types,Ws=Math.pow(2,13);function Xs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ws)+o,i*Ws*2,a*Ws*2,Math.round(s))}var Js=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ki,this.indexArray=new sa,this.programConfigurations=new no(Fs,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ks(t,e){return t.x===e.x&&(t.x<0||t.x>oo)||t.y===e.y&&(t.y<0||t.y>oo)}Js.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ps("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?uo(o):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:uo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Os("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},Js.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Js.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Js.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Js.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Js.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Js.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Js.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Ls(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>oo}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>oo}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!Ks(y,m)){f.vertexLength+4>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Ys[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Xs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Ko(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Qn("FillExtrusionBucket",Js,{omit:["layers","features"]});var $s={paint:new Ui({"fill-extrusion-opacity":new Ri(It["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Fi(It["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new Ri(It["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new Ri(It["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Bi(It["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Fi(It["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Fi(It["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new Ri(It["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Qs=function(t){function e(e){t.call(this,e,$s)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Js(t)},e.prototype.queryRadius=function(){return Ao(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Mo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];zo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;vo(r,e)&&(n=el(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];ho(r,f)&&(n=Math.min(n,el(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Hi);function tl(t,e){return t.x*e.x+t.y*e.y}function el(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=tl(s,s),f=tl(s,l),h=tl(l,l),p=tl(u,s),d=tl(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var rl=Yi([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,nl=Zs.VectorTileFeature.types,il=Math.cos(Math.PI/180*37.5),al=Math.pow(2,14)/.5,ol=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new $i,this.indexArray=new sa,this.programConfigurations=new no(rl,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ol.prototype.populate=function(t,e,r){this.hasPattern=Ps("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?uo(l):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),p,r)){h||(p.geometry=uo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Os("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},ol.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ol.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ol.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ol.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ol.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,rl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ol.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ol.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ol.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===nl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<il&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},ol.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>al/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ol.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},ol.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(al-1):this.distance},ol.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Qn("LineBucket",ol,{omit:["layers","patternFeatures"]});var sl=new Ui({"line-cap":new Ri(It.layout_line["line-cap"]),"line-join":new Fi(It.layout_line["line-join"]),"line-miter-limit":new Ri(It.layout_line["line-miter-limit"]),"line-round-limit":new Ri(It.layout_line["line-round-limit"]),"line-sort-key":new Fi(It.layout_line["line-sort-key"])}),ll={paint:new Ui({"line-opacity":new Fi(It.paint_line["line-opacity"]),"line-color":new Fi(It.paint_line["line-color"]),"line-translate":new Ri(It.paint_line["line-translate"]),"line-translate-anchor":new Ri(It.paint_line["line-translate-anchor"]),"line-width":new Fi(It.paint_line["line-width"]),"line-gap-width":new Fi(It.paint_line["line-gap-width"]),"line-offset":new Fi(It.paint_line["line-offset"]),"line-blur":new Fi(It.paint_line["line-blur"]),"line-dasharray":new Ni(It.paint_line["line-dasharray"]),"line-pattern":new Bi(It.paint_line["line-pattern"]),"line-gradient":new ji(It.paint_line["line-gradient"])}),layout:sl},ul=function(t){function e(){t.apply(this,arguments)}return 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this.text.charCodeAt(t)},Ql.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&ui(n)&&!xl[t[r+1]]||i&&ui(i)&&!xl[t[r-1]]||!xl[t[r]]?e+=t[r]:e+=xl[t[r]]}return e}(this.text)},Ql.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&eu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&eu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Ql.prototype.substring=function(t,e){var r=new Ql;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Ql.prototype.toString=function(){return this.text},Ql.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Ql.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push($l.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Ql.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push($l.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w("Reached maximum number of images 6401")}else w("Can't add FormattedSection with an empty image.")},Ql.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var eu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},ru={};function nu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*bl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function fu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}ru[10]=!0,ru[32]=!0,ru[38]=!0,ru[40]=!0,ru[41]=!0,ru[43]=!0,ru[45]=!0,ru[47]=!0,ru[173]=!0,ru[183]=!0,ru[8203]=!0,ru[8208]=!0,ru[8211]=!0,ru[8231]=!0;var hu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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h=Lu(n.stretch-x,b,c,t.left),p=Cu(n.fixed-T,k,n.stretch,v),d=Lu(i.stretch-_,w,f,t.top),y=Cu(i.fixed-A,M,i.stretch,g),m=Lu(l.stretch-x,b,c,t.left),S=Cu(l.fixed-T,k,l.stretch,v),E=Lu(u.stretch-_,w,f,t.top),L=Cu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Eu(h,y,v),C=Eu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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sa,this.programConfigurations=t,this.segments=new Ea,this.dynamicLayoutVertexArray=new ea,this.opacityVertexArray=new ra,this.placedSymbolArray=new ba};Xu.prototype.isEmpty=function(){return 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Ea,this.collisionVertexArray=new oa};Ju.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,vl.members,!0)},Ju.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Qn("CollisionBuffers",Ju);var Ku=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Co([]),this.placementViewportMatrix=Co([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=du(this.zoom,e["text-size"]),this.iconSizeData=du(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Jl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ku.prototype.createArrays=function(){this.text=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ta,this.lineVertexArray=new ka,this.symbolInstances=new wa},Ku.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=xl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ku.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof le&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Si(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?uo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=uo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=le.factory(A);Wu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ki()||this.hasRTLText&&Mi.isParsed())&&(k=ml(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ue?E:ue.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:uo(m),properties:m.properties,type:qu[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Jl.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=si(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Ku.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Ku.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ku.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ku.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Ku.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ku.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ku.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ku.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===Jl.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];Zu(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),Zu(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),Zu(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),Zu(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),Yu(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},Ku.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Ku.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},Ku.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Ku.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ju(ia,gl.members,pa),this.iconCollisionBox=new Ju(ia,gl.members,pa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Ku.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},Ku.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Ku.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ku.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ku.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ku.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ku.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ku.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Ku.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Ku.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Ku.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Qn("SymbolBucket",Ku,{omit:["layers","collisionBoxArray","features","compareText"]}),Ku.MAX_GLYPHS=65535,Ku.addDynamicAttributes=Yu;var $u=new Ui({"symbol-placement":new Ri(It.layout_symbol["symbol-placement"]),"symbol-spacing":new Ri(It.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new Ri(It.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Fi(It.layout_symbol["symbol-sort-key"]),"symbol-z-order":new Ri(It.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new Ri(It.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new Ri(It.layout_symbol["icon-ignore-placement"]),"icon-optional":new Ri(It.layout_symbol["icon-optional"]),"icon-rotation-alignment":new Ri(It.layout_symbol["icon-rotation-alignment"]),"icon-size":new Fi(It.layout_symbol["icon-size"]),"icon-text-fit":new Ri(It.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new Ri(It.layout_symbol["icon-text-fit-padding"]),"icon-image":new Fi(It.layout_symbol["icon-image"]),"icon-rotate":new Fi(It.layout_symbol["icon-rotate"]),"icon-padding":new Ri(It.layout_symbol["icon-padding"]),"icon-keep-upright":new Ri(It.layout_symbol["icon-keep-upright"]),"icon-offset":new Fi(It.layout_symbol["icon-offset"]),"icon-anchor":new Fi(It.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new Ri(It.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new Ri(It.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new Ri(It.layout_symbol["text-rotation-alignment"]),"text-field":new Fi(It.layout_symbol["text-field"]),"text-font":new Fi(It.layout_symbol["text-font"]),"text-size":new Fi(It.layout_symbol["text-size"]),"text-max-width":new Fi(It.layout_symbol["text-max-width"]),"text-line-height":new Ri(It.layout_symbol["text-line-height"]),"text-letter-spacing":new Fi(It.layout_symbol["text-letter-spacing"]),"text-justify":new Fi(It.layout_symbol["text-justify"]),"text-radial-offset":new Fi(It.layout_symbol["text-radial-offset"]),"text-variable-anchor":new Ri(It.layout_symbol["text-variable-anchor"]),"text-anchor":new Fi(It.layout_symbol["text-anchor"]),"text-max-angle":new Ri(It.layout_symbol["text-max-angle"]),"text-writing-mode":new Ri(It.layout_symbol["text-writing-mode"]),"text-rotate":new Fi(It.layout_symbol["text-rotate"]),"text-padding":new Ri(It.layout_symbol["text-padding"]),"text-keep-upright":new Ri(It.layout_symbol["text-keep-upright"]),"text-transform":new Fi(It.layout_symbol["text-transform"]),"text-offset":new Fi(It.layout_symbol["text-offset"]),"text-allow-overlap":new Ri(It.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new Ri(It.layout_symbol["text-ignore-placement"]),"text-optional":new Ri(It.layout_symbol["text-optional"])}),Qu={paint:new Ui({"icon-opacity":new Fi(It.paint_symbol["icon-opacity"]),"icon-color":new Fi(It.paint_symbol["icon-color"]),"icon-halo-color":new Fi(It.paint_symbol["icon-halo-color"]),"icon-halo-width":new Fi(It.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Fi(It.paint_symbol["icon-halo-blur"]),"icon-translate":new Ri(It.paint_symbol["icon-translate"]),"icon-translate-anchor":new Ri(It.paint_symbol["icon-translate-anchor"]),"text-opacity":new Fi(It.paint_symbol["text-opacity"]),"text-color":new Fi(It.paint_symbol["text-color"],{runtimeType:Gt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Fi(It.paint_symbol["text-halo-color"]),"text-halo-width":new Fi(It.paint_symbol["text-halo-width"]),"text-halo-blur":new Fi(It.paint_symbol["text-halo-blur"]),"text-translate":new Ri(It.paint_symbol["text-translate"]),"text-translate-anchor":new Ri(It.paint_symbol["text-translate-anchor"])}),layout:$u},tc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ut,this.defaultValue=t};tc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},tc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},tc.prototype.outputDefined=function(){return!1},tc.prototype.serialize=function(){return null},Qn("FormatSectionOverride",tc,{omit:["defaultValue"]});var ec=function(t){function e(e){t.call(this,e,Qu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||nn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Ku(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Qu.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new tc(a),s=new rn(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new on("source",s):new sn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Di(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Qu.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof le)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof de&&he(t.value)===Xt){var e=t.value;a(e.sections)}else t instanceof me?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Hi),rc={paint:new Ui({"background-color":new Ri(It.paint_background["background-color"]),"background-pattern":new Ni(It.paint_background["background-pattern"]),"background-opacity":new Ri(It.paint_background["background-opacity"])})},nc=function(t){function e(e){t.call(this,e,rc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi),ic={paint:new Ui({"raster-opacity":new Ri(It.paint_raster["raster-opacity"]),"raster-hue-rotate":new Ri(It.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new Ri(It.paint_raster["raster-brightness-min"]),"raster-brightness-max":new Ri(It.paint_raster["raster-brightness-max"]),"raster-saturation":new Ri(It.paint_raster["raster-saturation"]),"raster-contrast":new Ri(It.paint_raster["raster-contrast"]),"raster-resampling":new Ri(It.paint_raster["raster-resampling"]),"raster-fade-duration":new Ri(It.paint_raster["raster-fade-duration"])})},ac=function(t){function e(e){t.call(this,e,ic)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi);var oc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Hi),sc={circle:Fo,heatmap:Yo,hillshade:Xo,fill:Rs,"fill-extrusion":Qs,line:fl,symbol:ec,background:nc,raster:ac};var lc=self.HTMLImageElement,uc=self.HTMLCanvasElement,cc=self.HTMLVideoElement,fc=self.ImageData,hc=self.ImageBitmap,pc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};pc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},pc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},pc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},pc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var dc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};dc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},dc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var vc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new dc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=A()?t:self};function gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}vc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ni(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},vc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},vc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},vc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(ii(e.error)):n(null,ii(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?ni(e):null,data:ni(n,a)},a)}:function(t){i=!0},s=null,l=ii(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},vc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};yc.prototype.setNorthEast=function(t){return this._ne=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.setSouthWest=function(t){return this._sw=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof xc)e=t,r=t;else{if(!(t instanceof yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(yc.convert(a))}var o=t;return this.extend(xc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new xc(e.lng,e.lat),this._ne=new xc(r.lng,r.lat)),this},yc.prototype.getCenter=function(){return new xc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},yc.prototype.getSouthWest=function(){return this._sw},yc.prototype.getNorthEast=function(){return this._ne},yc.prototype.getNorthWest=function(){return new xc(this.getWest(),this.getNorth())},yc.prototype.getSouthEast=function(){return new xc(this.getEast(),this.getSouth())},yc.prototype.getWest=function(){return this._sw.lng},yc.prototype.getSouth=function(){return this._sw.lat},yc.prototype.getEast=function(){return this._ne.lng},yc.prototype.getNorth=function(){return this._ne.lat},yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},yc.prototype.contains=function(t){var e=xc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},yc.convert=function(t){return!t||t instanceof yc?t:new yc(t)};var mc=6371008.8,xc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};xc.prototype.wrap=function(){return new xc(c(this.lng,-180,180),this.lat)},xc.prototype.toArray=function(){return[this.lng,this.lat]},xc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},xc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return mc*Math.acos(Math.min(i,1))},xc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new yc(new xc(this.lng-r,this.lat-e),new xc(this.lng+r,this.lat+e))},xc.convert=function(t){if(t instanceof xc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new xc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new xc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var bc=2*Math.PI*mc;function _c(t){return bc*Math.cos(t*Math.PI/180)}function wc(t){return(180+t)/360}function Tc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function kc(t,e){return t/_c(e)}function Ac(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Mc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Mc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=xc.convert(t);return new Mc(wc(r.lng),Tc(r.lat),kc(e,r.lat))},Mc.prototype.toLngLat=function(){return new xc(360*this.x-180,Ac(this.y))},Mc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*_c(Ac(e));var t,e},Mc.prototype.meterInMercatorCoordinateUnits=function(){return 1/bc*(t=Ac(this.y),1/Math.cos(t*Math.PI/180));var t};var Sc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Cc(0,t,t,e,r)};Sc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Sc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Sc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*oo,(t.y*e-this.y)*oo)},Sc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Ec=function(t,e){this.wrap=t,this.canonical=e,this.key=Cc(t,e.z,e.z,e.x,e.y)},Lc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Sc(r,+n,+i),this.key=Cc(e,t,r,n,i)};function Cc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Lc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Lc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Lc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Lc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Lc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Cc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Cc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Lc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Lc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Lc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Lc(e,this.wrap,e,r,n),new Lc(e,this.wrap,e,r+1,n),new Lc(e,this.wrap,e,r,n+1),new Lc(e,this.wrap,e,r+1,n+1)]},Lc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Lc.prototype.wrapped=function(){return new Lc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.unwrapTo=function(t){return new Lc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Lc.prototype.toUnwrapped=function(){return new Ec(this.wrap,this.canonical)},Lc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Lc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Mc(t.x-this.wrap,t.y))},Qn("CanonicalTileID",Sc),Qn("OverscaledTileID",Lc,{omit:["posMatrix"]});var Pc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Pc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Pc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Pc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Pc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Pc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Pc.prototype.getPixels=function(){return new qo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Pc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},Qn("DEMData",Pc);var Oc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Oc.prototype.encode=function(t){return this._stringToNumber[t]},Oc.prototype.decode=function(t){return this._numberToString[t]};var Ic=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Dc={geometry:{configurable:!0}};Dc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Dc.geometry.set=function(t){this._geometry=t},Ic.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Ic.prototype,Dc);var zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},zc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Rc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Wn(oo,16,0),this.grid3D=new Wn(oo,16,0),this.featureIndexArray=new Ma,this.promoteId=e};function Fc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof zi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Bc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Nc(t,e){return e-t}Rc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<oo&&c[1]<oo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Rc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Zs.VectorTile(new Tl(this.rawTileData)).layers,this.sourceLayerCoder=new Oc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Rc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=oo/t.tileSize/t.scale,l=xn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Bc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Bc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(wo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(To(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Nc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=uo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Rc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Si(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=Fc(x.paint,y.paint,p,m,o),x.layout=Fc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Ic(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Rc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=xn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Rc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Rc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Qn("FeatureIndex",Rc,{omit:["rawTileData","sourceLayerCoder"]});var jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},jc.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ku){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Ku&&o.hasRTLText){this.hasRTLText=!0,Mi.isLoading()||Mi.isLoaded()||"deferred"!==ki()||Ai();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ma},jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},jc.prototype.getBucket=function(t){return this.buckets[t.id]},jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new pc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new pc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=xn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Si(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Ic(p,l,u,c,d);v.tile=f,t.push(v)}}}},jc.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Uc=self.performance,Vc=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},Uc.mark(this._marks.start)};Vc.prototype.finish=function(){Uc.mark(this._marks.end);var t=Uc.getEntriesByName(this._marks.measure);return 0===t.length&&(Uc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Uc.getEntriesByName(this._marks.measure),Uc.clearMarks(this._marks.start),Uc.clearMarks(this._marks.end),Uc.clearMeasures(this._marks.measure)),t},t.Actor=vc,t.AlphaImage=Ho,t.CanonicalTileID=Sc,t.CollisionBoxArray=ma,t.Color=ae,t.DEMData=Pc,t.DataConstantProperty=Ri,t.DictionaryCoder=Oc,t.EXTENT=oo,t.ErrorEvent=Pt,t.EvaluationParameters=Si,t.Event=Ct,t.Evented=Ot,t.FeatureIndex=Rc,t.FillBucket=Is,t.FillExtrusionBucket=Js,t.ImageAtlas=Xl,t.ImagePosition=Yl,t.LineBucket=ol,t.LngLat=xc,t.LngLatBounds=yc,t.MercatorCoordinate=Mc,t.ONE_EM=bl,t.OverscaledTileID=Lc,t.Point=a,t.Point$1=a,t.Properties=Ui,t.Protobuf=Tl,t.RGBAImage=qo,t.RequestManager=q,t.RequestPerformance=Vc,t.ResourceType=mt,t.SegmentVector=Ea,t.SourceFeatureState=zc,t.StructArrayLayout1ui2=da,t.StructArrayLayout2f1f2i16=aa,t.StructArrayLayout2i4=Xi,t.StructArrayLayout3ui6=sa,t.StructArrayLayout4i8=Ji,t.SymbolBucket=Ku,t.Texture=pc,t.Tile=jc,t.Transitionable=Ci,t.Uniform1f=Ha,t.Uniform1i=Va,t.Uniform2f=qa,t.Uniform3f=Ga,t.Uniform4f=Za,t.UniformColor=Ya,t.UniformMatrix4f=Xa,t.UnwrappedTileID=Ec,t.ValidationError=Dt,t.WritingMode=Jl,t.ZoomHistory=ai,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=Yu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send("enforceCacheSizeLimit",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Au,t.clone=function(t){var e=new Lo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Lo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=yl,t.config=B,t.create=function(){var t=new Lo(16);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Lo(9);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Lo(4);return Lo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=an,t.createLayout=Yi,t.createStyleLayer=function(t){return"custom"===t.type?new oc(t):new sc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return"undefined"!=typeof window&&"undefined"!=typeof document?Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?"JSON"in window&&"parse"in JSON&&"stringify"in JSON?function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?"Uint8ClampedArray"in window?ArrayBuffer.isView?function(){var t=document.createElement("canvas");t.width=t.height=1;var e=t.getContext("2d");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,"void main() {}"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:"insufficient WebGL support"):"insufficient Canvas/getImageData support":"insufficient ArrayBuffer support":"insufficient Uint8ClampedArray support":"insufficient worker support":"insufficient JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support":"not a browser";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",u,u),t.window.removeEventListener("test",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",c,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf("MAC")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchX" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchY" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "content" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-w.length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.disabled=new Lt(Lt.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(ta.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},qe=t.pick(Ht,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(Ht,["setCenter","setZoom","setBearing","setPitch"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Xe=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Je=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Xe.vertexSource,e.vertexSource).join("\n"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Br(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var qr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Gr(i.paint.get("raster-hue-rotate"))};var a,o};function Gr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Zr,Yr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Wr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Yr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Wr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Zr||Zr.length<2*h)&&(Zr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Zr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function rn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=en(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram("hillshade");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);rn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&an(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&an(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Qr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Qr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);sn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):"translucent"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=fn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=qr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)_n(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Tn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Tn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Tn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Tn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Tn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Tn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Tn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Tn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var kn=function(t,e){this.points=t,this.planes=e};kn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new kn(a,o)};var An=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};An.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new An(n,i)},An.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},An.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},An.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Mn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Mn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Mn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Sn.prototype.clone=function(){var t=new Sn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},En.fov.get=function(){return this._fov/Math.PI*180},En.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},En.zoom.get=function(){return this._zoom},En.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=kn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new An([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Sn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Sn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Sn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Sn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Sn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Sn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Sn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Sn.prototype,En);var Ln=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},Ln.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Ln.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Bn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Nn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),jn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Hn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Hn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Zn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Zn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Zn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Zn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Zn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Yn=function(){this._zoomIn=new Zn({numTouches:1,numTaps:2}),this._zoomOut=new Zn({numTouches:2,numTaps:1}),this.reset()};Yn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Yn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Yn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Yn.prototype.touchcancel=function(){this.reset()},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Wn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Wn.prototype._correctButton=function(t,e){return!1},Wn.prototype._move=function(t,e){return{}},Wn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Wn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Wn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Wn),Jn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Wn),Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Wn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ni(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ai(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:ui,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};fi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},fi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},fi.prototype.isEnabled=function(){return!!this._enabled},fi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},fi.prototype.isZooming=function(){return!!this._zooming},fi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},fi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},fi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%ci==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},fi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},fi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},fi.prototype.renderFrame=function(){return this._onScrollFrame()},fi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>ci?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},fi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},fi.prototype.reset=function(){this._active=!1};var hi=function(t,e){this._clickZoom=t,this._tapZoom=e};hi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},hi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},hi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},hi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var pi=function(){this.reset()};pi.prototype.reset=function(){this._active=!1},pi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active};var di=function(){this._tap=new Zn({numTouches:1,numTaps:1}),this.reset()};di.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},di.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},di.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},di.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},di.prototype.touchcancel=function(){this.reset()},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};vi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},vi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},vi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},vi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var gi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};gi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},gi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},gi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},gi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var yi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};yi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},yi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},yi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},yi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},yi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},yi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function bi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var _i=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};_i.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},_i.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add("boxZoom",n);var i=new Yn,a=new pi;e.doubleClickZoom=new hi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new di;this._add("tapDragZoom",o);var s=e.touchPitch=new oi;this._add("touchPitch",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new gi(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new Xn(t),f=new $n(t);e.dragPan=new vi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ii,p=new ri;e.touchZoomRotate=new yi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new fi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new li;this._add("keyboard",v),this._add("blockableMapEvent",new Vn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},_i.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},_i.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},_i.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},_i.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},_i.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},_i.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},_i.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},_i.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},_i.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},_i.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||bi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||bi(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},_i.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},_i.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},_i.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!bi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},_i.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+"end"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},_i.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_i.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new xi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var wi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ti=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Ti.prototype.getDefaultPosition=function(){return"bottom-right"},Ti.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ti.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ti.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Ti.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ti.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ti.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var ki=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};ki.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return"bottom-left"},ki.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},ki.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ki.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ai=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ai.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ai.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ai.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ai.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mi={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Si=t.window.HTMLImageElement,Ei=t.window.HTMLElement,Li=t.window.ImageBitmap,Ci=60,Pi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ci,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Oi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Pi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Ci)throw new Error("maxPitch must be less than or equal to 60");var i=new Sn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ai,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Mi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ei))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new _i(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ti({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ci:t)>Ci)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Bn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Si||Li&&r instanceof Li){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Si||Li&&r instanceof Li?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Si||Li&&r instanceof Li);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Ii(this._canvasContainer),Ii(this._controlContainer),Ii(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(wi);function Ii(t){t.parentNode&&t.parentNode.removeChild(t)}var Di={showCompass:!0,showZoom:!0,visualizePitch:!1},zi=function(e){var n=this;this.options=t.extend({},Di,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};zi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},zi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},zi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ri(this._map,this._compass,this.options.visualizePitch)),this._container},zi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},zi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},zi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ri=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Fi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ri.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ri.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ri.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ri.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ri.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ri.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ri.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ri.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ri.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ri.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ri.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Bi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Ni(t,e,r){var n=t.classList;for(var i in Bi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var ji,Ui=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var u=r.createNS("http://www.w3.org/2000/svg","g");u.setAttributeNS(null,"transform","translate(3.0, 29.0)"),u.setAttributeNS(null,"fill","#000000");for(var c=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<f.length;c+=1){var h=f[c],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),u.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(v);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var y=r.createNS("http://www.w3.org/2000/svg","path");y.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(y);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ni(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Fi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Bi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Vi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Hi=0,qi=!1,Gi=function(e){function n(r){e.call(this),this.options=t.extend({},Vi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==ji?n(ji):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){ji="denied"!==t.state,n(ji)})):(ji=!!t.window.navigator.geolocation,n(ji)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Hi=0,qi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&qi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Ui(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Ui({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Hi--,qi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Hi>1?(e={maximumAge:6e5,timeout:0},qi=!0):(e=this.options.positionOptions,qi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Zi={maxWidth:100,unit:"metric"},Yi=function(e){this.options=t.extend({},Zi,e),t.bindAll(["_onMove","setUnit"],this)};function Wi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?Xi(e,n,l/5280,t._getUIString("ScaleControl.Miles")):Xi(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?Xi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?Xi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Xi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Xi(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Yi.prototype.getDefaultPosition=function(){return"bottom-left"},Yi.prototype._onMove=function(){Wi(this._map,this._container,this.options)},Yi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Yi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Yi.prototype.setUnit=function(t){this.options.unit=t,Wi(this._map,this._container,this.options)};var Ji=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Ji.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Ji.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ji.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ji.prototype._setupUI=function(){var 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this._fullscreen},Ji.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Ji.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ki={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},$i=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ki),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return 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this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close 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function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11328:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(u===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,v=s.matches_head,g=n[p],y=v?g[0]:g[g.length-1],m=v?g[1]:g[g.length-2],x=v?g[g.length-1]:g[0],b=v?g[g.length-2]:g[1];return e.pointsCollinear(m,y,d)&&(v?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),y=m),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,y)&&(v?(r&&r.chainRemoveTail(s.index,y),g.pop()):(r&&r.chainRemoveHead(s.index,y),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(v?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return u.index=t,u.matches_head=e,u.matches_pt1=r,u===s?(u=l,!1):(u=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},76767:function(t,e,r){"use strict";var n=r(14847).n8,i=r(14847).Ag;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,u=0;u<o;u++){var c=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),v=s(t,l+r,i);e.item_loc[c]={length:v,offset:d+h}}l+=p*(r+i)}}function u(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),u="",c=8;c<s.data.length&&s.data[c];c++)u+=String.fromCharCode(s.data[c]);e.item_inf[u]=l}i=s.end}}function c(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}t.exports.unbox=a,t.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&c(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&u(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(n=(r=e.sizes).reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return 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n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if("function"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},y.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},y.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},y.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type 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i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){"use strict";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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                       {"annotations":[{"font":{"size":30},"showarrow":false,"text":"<a href='https://www.silviasbrainery.com/brainerywiz' style='opacity:0'>lllllllll</a>","x":0.01,"xanchor":"left","xref":"paper","y":0.91,"yanchor":"bottom","yref":"paper"},{"font":{"size":10},"showarrow":false,"text":"<a href='https://github.com/Silvia-s-Brainery/BraineryWiz/tree/main/Documentations' style='opacity:1'>Current Event: Sorry for our absence. We will comeback soon with new 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+
+</body></html>
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diff --git a/source/Python_Version/plotmodel/verticalaxis.rst b/source/Python_Version/plotmodel/verticalaxis.rst
new file mode 100644
index 0000000..db2da26
--- /dev/null
+++ b/source/Python_Version/plotmodel/verticalaxis.rst
@@ -0,0 +1,24 @@
+.. _plotmodelverticalpy:
+
+vertical_axis Option
+====================================================
+Using this option user can define the dimension related to vertical axis. BraineryWiz considers the 3rd value of the enetered points as the values related to the vertical axis. For other cases using this option users can determine the vertical axis dimension. (Default=3)
+
+Example
+--------
+
+.. code-block:: python
+   :caption: Example for vertical_axis=2
+   
+   import BraineryWiz as bz
+   
+   # ...
+   # Create the OpenSees model
+   # ...
+   
+   # Call PlotModel command 
+   bz.PlotModel(plotmode=3, vertical_axis=2)
+
+.. raw:: html
+       :file: files/vertical.html
+	   
\ No newline at end of file
