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<!DOCTYPE html> <html> <head> <title>R Markdown with the Docco Classic Style</title> <meta charset="utf-8"> <meta name="generator" content="knitr" /> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/7.3/styles/github.min.css"> #!mathjax# <style type="text/css"> <style type="text/css"> /** * Prism.s theme ported from highlight.js's xcode style */ pre code { padding: 1em; } .token.comment { color: #007400; } .token.punctuation { color: #999; } .token.tag, .token.selector { color: #aa0d91; } .token.boolean, .token.number, .token.constant, .token.symbol { color: #1c00cf; } .token.property, .token.attr-name, .token.string, .token.char, .token.builtin { color: #c41a16; } .token.inserted { background-color: #ccffd8; } .token.deleted { background-color: #ffebe9; } .token.operator, .token.entity, .token.url, .language-css .token.string, .style .token.string { color: #9a6e3a; } .token.atrule, .token.attr-value, .token.keyword { color: #836c28; } .token.function, .token.class-name { color: #DD4A68; } .token.regex, .token.important, .token.variable { color: #5c2699; } .token.important, .token.bold { font-weight: bold; } .token.italic { font-style: italic; } </style> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex/dist/katex.min.css"> <style type="text/css"> /* Derived from the Docco package by Jeremy Ashkenas: https://github.com/jashkenas/docco/ */ body { font-family: 'Palatino Linotype', 'Book Antiqua', Palatino, FreeSerif, serif; height:100%; font-size: 16px; line-height: 24px; color: #30404f; margin: 0; padding: 0; } h1, h2, h3, h4, h5, h6 { color: #112233; line-height: 1em; font-weight: normal; margin: 0 0 15px 0; } p { margin: 0 0 15px 0; font-size:17px; } #footer p{ margin:0; font-size:12px; text-align: center; } a{ color:#0088cc; text-decoration:none; } a:hover,a:focus{ color:#005580; text-decoration:underline; } #container { position: relative; margin: 0; height:100%; } body > #container { height: auto; min-height: 100%; } table{ width:100%; border: 0; outline: 0; } td.docs{ width: 50%; text-align: left; vertical-align: top; padding: 10px 25px 1px 50px; } td.code{ background: #f5f5ff; padding: 10px 25px 1px 50px; overflow-x: hidden; vertical-align: top; } code{ font-size:12px; margin: 0; padding: 0; } td.docs code{ background: #f8f8ff; border: 1px solid #dedede; font-size: 80%; padding: 0 0.2em; } td.docs img{ max-width: 100%; } pre code{ padding:2px 4px; background:#f5f5ff; } td.code pre code{ line-height: 18px; } .pilwrap { position: relative; } .pilcrow { font: 12px Arial; text-decoration: none; color: rgb(69, 69, 69); position: absolute; top: 3px; left: -20px; padding: 1px 2px; opacity: 0; } td.docs:hover .pilcrow { opacity: 1; } blockquote { border-left: 4px solid #DDD; padding: 0 15px; color: #777; } div.handler{ width: 5px; padding: 0; cursor: col-resize; position: absolute; z-index: 5; } </style> </style> <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/7.3/highlight.min.js" defer></script> <script type="text/javascript"> hljs.LANGUAGES.r=function(a){var b="([a-zA-Z]|\\.[a-zA-Z.])[a-zA-Z0-9._]*";return{c:[a.HCM,{b:b,l:b,k:{keyword:"function if in break next repeat else for return switch while try tryCatch|10 stop warning require library attach detach source setMethod setGeneric setGroupGeneric setClass ...|10",literal:"NULL NA TRUE FALSE T F Inf NaN NA_integer_|10 NA_real_|10 NA_character_|10 NA_complex_|10"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{b:"`",e:"`",r:0},{cN:"string",b:'"',e:'"',c:[a.BE],r:0},{cN:"string",b:"'",e:"'",c:[a.BE],r:0}]}}(hljs); </script> <script>hljs.initHighlightingOnLoad();</script> <script src="https://yihui.org/js/center-img.js" defer></script> </head> <body> <div id="container"> <table><!--table start--> <tr id="row1"><td class="docs"><div class="pilwrap"><a class="pilcrow" href="#row1">&para;</a></div><!-- %\VignetteEngine{knitr::docco_classic} %\VignetteIndexEntry{R Markdown with the Docco Classic Style} --> <h1 id="r-markdown-with-the-docco-classic-style">R Markdown with the Docco Classic Style</h1> <p>This is an example of Markdown vignettes using the <a href="http://ashkenas.com/docco/">Docco style</a>.</p> <h2 id="docco">Docco</h2> <p>To use the Docco style for Markdown vignettes in an R package, you need to</p> <ul> <li>add <code>*.Rmd</code> files under the <code>vignettes</code> directory</li> <li>add <code>Suggests: knitr</code> and <code>VignetteBuilder: knitr</code> to the <code>DESCRIPTION</code> file</li> <li>specify the vignette engine <code>\VignetteEngine{knitr::docco_classic}</code> in the <code>Rmd</code> files (inside HTML comments)</li> </ul> <p>After building and installing the package, you can view vignettes via</p> </td><td class="code"><pre><code class="language-r">browseVignettes(package = 'Your_Package') </code></pre></td></tr><tr id="row2"><td class="docs"><div class="pilwrap"><a class="pilcrow" href="#row2">&para;</a></div> <h2 id="examples">Examples</h2> <p>Below are some code chunks as examples.</p> </td><td class="code"><pre><code class="language-r">cat('_hello_ **markdown**!', '\n') </code></pre></td></tr><tr id="row3"><td class="docs"><div class="pilwrap"><a class="pilcrow" href="#row3">&para;</a></div> <p><em>hello</em> <strong>markdown</strong>!</p> <p>Normally you do not need any chunk options.</p> </td><td class="code"><pre><code class="language-r">1+1 </code></pre> <pre><code>## [1] 2 </code></pre> <pre><code class="language-r">10:1 </code></pre> <pre><code>## [1] 10 9 8 7 6 5 4 3 2 1 </code></pre> <pre><code class="language-r">rnorm(5)^2 </code></pre> <pre><code>## [1] 0.02793 0.06013 2.93306 0.58198 0.04078 </code></pre> <pre><code class="language-r">strsplit('hello, markdown vignettes', '') </code></pre> <pre><code>## [[1]] ## [1] &quot;h&quot; &quot;e&quot; &quot;l&quot; &quot;l&quot; &quot;o&quot; &quot;,&quot; &quot; &quot; &quot;m&quot; &quot;a&quot; &quot;r&quot; &quot;k&quot; &quot;d&quot; &quot;o&quot; &quot;w&quot; &quot;n&quot; &quot; &quot; &quot;v&quot; &quot;i&quot; &quot;g&quot; ## [20] &quot;n&quot; &quot;e&quot; &quot;t&quot; &quot;t&quot; &quot;e&quot; &quot;s&quot; </code></pre></td></tr><tr id="row4"><td class="docs"><div class="pilwrap"><a class="pilcrow" href="#row4">&para;</a></div> <p>Feel free to draw beautiful plots and write math \(P(X&gt;x)=\alpha/2\).</p> </td><td class="code"></td></tr><tr id="row5"><td class="docs"><div class="pilwrap"><a class="pilcrow" href="#row5">&para;</a></div><p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfgAAAH4CAYAAACmKP9/AAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAH4oAMABAAAAAEAAAH4AAAAAAROaeoAAEAASURBVHgB7N15rC1ZVT/wg6IgyIygyPCglaGZm6EHenjdzdztRIyRRBMVojHxD5RoMA6JMUYx0WDU6C9G/zHRGEkM2MzYdEPTDKJo0woo4gMURZkUHMDpdz+l67FfvRp21akz3btWcu85p4Y9rL1rfde0d93hf45olZQcSA4kB5IDyYHkwLHiwB2PVW96OvP85z9/9bGPfWx1l7vcpeeKPJwcSA4kB5IDyYHjwYGPf/zjq7e//e2rEwHw//Ef/7H63d/93dV97nOf4zF62YvkQHIgOZAcSA70cOD6669vznxRz/k8nBxIDiQHkgPJgeTAAXMgAf6ABy+bnhxIDiQHkgPJgT4OJMD3cSaPJweSA8mB5EBy4IA5kAB/wIOXTU8OJAeSA8mB5EAfBxLg+ziTx5MDyYHkQHIgOXDAHEiAP+DBy6YnB5IDyYHkQHKgjwMJ8H2cyePJgeRAciA5kBw4YA6ciHXwBzw+2fTkwFY48O///u+rz33uc6t//ud/Xvl+5zvfeXW3u91tdac73Wn1ZV/2ZVtpQ1aSHEgOLMuBBPhl+ZmlJQcOigM2gfrkJz+5eu9737v6p3/6p/Pafve733114YUXru5973uvvuRLvuS883kgOZAc2F8OpIt+f8cmW5Yc2CgHgPvf/M3fNFtadoG7yln0trx0HQs/KTmQHDgcDiTAH85YZUuTA4tx4L//+79Xn/70p1e33XZbVZmuA/L/9V//VXV9XpQcSA7sngMJ8Lsfg2xBcmDrHPjXf/3X1bve9a5J9b7//e9fuS8pOZAcOAwOJMAfxjhlK5MDi3LgH/7hH1af//znJ5XJpf93f/d3q3zD9CS25cXJgZ1xIAF+Z6zPipMDu+EAYP/7v//7WZV77fJUxWBWRXlTciA5sDYHEuDXZmEWkBw4LA6Io88FafdlHP6wxjtbe3I5kAB/csc+e36COXCHO9xhVu/dN/feWRXmTcmB5MBsDiTAz2Zd3pgcOEwO3PGOd2w2sJnTehvffPEXf/GcW/Oe5EByYMscSIDfMsOzuuTArjlgw5oHPOABs5rxlV/5lasv/dIvnXVv3pQcSA5slwMJ8Nvld9a25xw4KRni973vfVdf/uVfPmk0bFkL4JOSA8mBw+BAblV7GOOUrdwQBySM/du//VuzXauNX/y+613vurr//e+/ustd7nJst2cF1o9+9KObtfA1SXPi7pdddlnuS7+heZjFJgc2wYEE+E1wNcs8CA7YevUjH/nIygYu//mf/3lOm+3NfurUqdXjHve4Y5lUBrBZ8ddff/3qhhtuGMyMF3O/6KKLGtf8F31ROv3OmSj5IzmwxxxIgN/jwcmmbY4DNm350Ic+1Lxkpa+WM2fONMD3yEc+srHm+6471OOS7WxZe8UVV6z+4i/+YvWJT3xida973av5k0yHALpjLP5MrjvUkc52n1QOJMCf1JE/4f3+1Kc+NQjuwR4WPmDzRrXj+DY1AH6Pe9xj9YQnPKF5mYwNcOxW55WxrHyvjeXdEHvP18bGrMjP5MBhcCAB/jDGKVu5IAeA1/ve977qEj/84Q+vLrjggmMJ8MEE4Qp707ffKvcv//IvjWVvB7tLLrkkLs/P5EBy4AA4kAG1AxikbOKyHJBUxoKvJW7sKdfXlrsv1wF3r4Rtg3vZPgB/yy235MtmSqbk9+TAnnMgAX7PByibtzwHxN+n0nF9ixplR5IhS32MxOjlLVB4kpIDyYH950AC/P6PUbZwYQ5ILptKx3VzF9a7mHstffSjH23i87XX53XJgeTA7jiQAL873mfNO+KAxDLJY1NIIloX2RjnkDfHYcHLSailz372swfd39p+5nXJgePAgQT44zCK2YdJHLAE7Ku+6quq77nb3e7Wm0Eu09zfoVJ7/X9NP9JFX8OlvCY5sHsOJMDvfgyyBVvmgGVvD3vYw1aAe4yA91Of+tRegB+7f9/PTw094F2uh9/3Uc32JQf+lwMJ8DkTTiQH7MN+8cUXD+7HDsiA+1R3/iExVB9tZFNL9773vVdzchhqy8/rkgPJgeU4kAC/HC+zpAPjgD3nL7300tXDH/7wxpoHXLG5ywMf+MBmh7ev+IqvONaARnl5xCMeUT1yj3rUo/JtctXcyguTA7vlwPR04t22N2tPDizKAS+UAXCnjvadj9gykD9J7z1nlT/mMY9Z3X777YO8feITn1gV1hgsJE8mB5IDW+NAAvzWWJ0V7SsHZNWf5G1YbcH74Ac/eHX3u9999e53v7t5u145VjwdLPf73e9+x9qbUfY5vycHjgMHEuCPwyhmH5IDa3IAyHu73OWXX97sVmdjH54MHg5/XPl+JyUHkgOHw4EE+MMZq2xpcmCjHCgBfaMVZeHJgeTAVjiQSXZbYXNWkhxIDiQHkgPJge1yIAF+u/zO2pIDyYHkQHIgObAVDiTAb4XNWUlyIDmQHEgOJAe2y4EE+O3yO2tLDiQHkgPJgeTAVjiQAL8VNmclyYHkQHIgOZAc2C4HEuC3y++sLTmQHEgOJAeSA1vhQAL8VticlSQHkgPJgeRAcmC7HEiA3y6/s7bkQHIgOZAcSA5shQMJ8Fthc1aSHEgOJAeSA8mB7XIgAX67/M7akgPJgeRAciA5sBUOJMBvhc1ZSXIgOZAcSA4kB7bLgQT47fI7a0sOJAeSA8mB5MBWOJAvm9kKm7OS48yB//mf/1n9+7//+9n3yevrHe94x+ad8se539m35EByYL85kAC/3+OTrdtzDnit6t/8zd+sPvrRj64++9nPrv7rv/6rAfd73OMeqwc96EGr+9///s2rVve8G9m85EBy4BhyIAH+GA5qdmk7HADo73znO1ef+cxnzqnwP//zP1ef+MQnmr8HPvCBqyc96UnnnM8fyYHkQHJgGxxIgN8Gl7OOY8eBz3/+86u3ve1tKxb8ELHuAf7jHve41Zd92ZcNXZrnkgPJgeTAohzIJLtF2ZmFnQQOAPfbb799FNyDF3//93/fuPH/+7//Ow7lZ3IgOZAc2DgHEuA3zuKs4LhxAMD/7d/+7aRufehDH2oS8SbdlBcnB5IDyYE1OJAAvwbz8taTyYFPfepT52TM13DhX/7lX1YUg6TkQHIgObAtDiTAb4vTWc+x4cBY3L2vo5bS1ZBld0nJgeRAcmBdDux1kh1Bepe73GXdPub9yYFFOfAlX/Ils8qzNr6PLK9j5cdyuy//8i9fPfjBD1596Zd+abPsru++PJ4cSA4kB/o4sHML/id/8idXX/3VX7264IILVi9/+cvPtpPAu+td73r2d35JDuyCA7GJDfClcHKz3/Oe95zclDvc4Q696+Fl2UvAe/Ob37x6//vf38T3fd54440r93kWkpIDyYHkwFQO9JsUU0uacb1lRq997WtXr3nNa1Z/9md/tnrxi1+8+uQnP7n67u/+7smlPe95z1v9x3/8R+d9N910U+fxPJgcGOLA5z73udXHPvax1ZkzZxrr+ou+6ItWNrB57GMfu/qar/ma1Qc+8IGh2885d6973WvVZ/lTGoB5G8j99mxcccUVTb3nFJg/kgPJgeTACAd2CvCvfOUrV9/3fd/XrBG2Tvjyyy9v/u5973uvvumbvmmk6eee/s3f/M1VX+zy1KlT516cv5IDIxygLNqs5t3vfvc5V4qj/+M//uPqmmuuWVEAPvKRj5xzvu/HhRde2Lt17Qc/+MHzwD3KAfLquPvd795Y83E8P5MDyYHkwBgHdgrwj3/841e33nrr6vnPf37TTlt73nDDDatnPvOZky2WIXc+N2dScmAKB4D7H/7hH3bewp3OK3TxxRevrHHv8xzFzRdddFHvfAbgY0l7wgPq/OIv/uIoMj+TA8mB5MAoB3Yag7/uuutWN9988+rSSy8921Duz9/7vd87C/pnT+SX5MCWOMAyH3O/x3a0tqHtA9473/nOqyc+8Ymrr/zKr+xNlOP2d90QOe+6pORAciA5MIUDO7Xg73a3u63+9E//dPWOd7zjnDZfcsklq/e85z2rl73sZecczx/JgW1wAHizmsfon/7pn1YPe9jDVqdPn27c9vJHxNNlvgN1yXi2px0CZ94lnitx/r4Q00Mf+tB0z48NRp5PDiQHzuPATgE+WsPV2aav+qqvWr30pS9tH87fyYGNcwDo9lnlZeWu8WdJm7+HPOQhZ13pU8JCFN2nPe1pq1tuuaUsvvku1j9m4Z93Ux7YGgfkZERypDHPZY1bY31WVMGBvQD4inbmJcmBrXGAkJYtP2bFexVsaZ37Xv6ubbD18eoD5kID//Zv/9ZY/tbBA/e+7Pva8uM6cXz5AiUgKXtofX7cm5/nckAYR57GX/3VX614cvD0Tne60+orvuIrVo95zGMaoJ+i5J1bev5KDizDgQT4ZfiYpRwjDgC8r/3ar139wz/8Q/MmuK6uWfZ2n/vcp+vUrGPqZMlLPAUWPANzlIWuylmZlBX75wMj4CQcoE4bSVFUANNYOKGr7JN4jJJku+J2Eia+enugVRbyinLlw0mcHfvV5wT4/RqPbM2ecADYEtLyQ9p7yN/3vvdtkuc28frXuV6ALrbJJQDo73vf+1Yf//jHuy5Z/fM//3OzEoDXglJj06lN9Kuz8gM8SDGi+L3rXe/qbT2gB/6XXXZZ7sTZy6U8sQ0OJMBvg8tZx8FxgAUtSc4mMwQ6i82x+93vfivW+76DIKXEtreSWGvI9Tab0lfAlNTNAeETuwyOEY+JJZSSMJOSA7viQAL8rjif9e49B1jTkUDHcjuUmCoXMuu9FtzLgeBevulojf+Tn/zkpu/lufy+asInn/nMZ6pYQVmSR5E5DlXsyos2wIFcXLsBpmaRx48DhwLu4UJ+wxveMHsQuPX/5E/+JN9f38FBilMtlQmNtffkdcmBJTmQAL8kN7Os5MCOOcCFLOa+LskQF7enMCR9gQNTVjTIqk/r/Qu8y2/b50AC/PZ5njUeIw7E0jOf+0B/93d/t/rsZz+7SFPEmmvfYb9IhQdQCMCWg1FDD3jAA6r2U6gpK69JDszhQMbg53At7znRHLCMjaUcVq6saVnokvIk4UnAm2LpLcVMYGwp3FJEUZAstu8JhUv1t6Yc+xI88pGPXHkT5hAB9yWXUQ7VleeSA30cSIDv40weTw50cACI2lbWhjSxYUxcBlz//M//fGVr2Uc96lFbd89qj/j5kiTpzrLApC9wwNsun/rUp67+6I/+6Lw54Cr8espTnvKFG/JbcmBHHEiA3xHjs9rD44AEq/e+972rD3/4w72NF7P2+lfry71oxkYy2yJJXUuHCljxsfHOtvqx7/Vw0/PUXHnllau//uu/bpZQ4pGYO8vdNttJyYF94EAC/D6MwjFqA4Bh5QK6AAYZ6ISfdeSHSsATcA+Be9k3CWq33XZbA/L6vg3Cb8SN7GU3dlLDcyEE7WGNT02ao9QY00Meu03wHj/w17a09hDAV8AvVJOUHNgXDiTA78tIHHg7gIu4NBAEJGK3ASZiuLZCveCCCxqL9hAzi72zvWaDk3IYP/axj628YW5bFp11+0BHjNgmK8YCQOO/F+E8/OEPX731rW89Oy5lW/u+A7Kltsztq+OQj+NP5igc8gge77YnwB/v8d1K71gwLEQbq/jeJsDP8rWzmtikLORdJKG121X7mwVrj/FQWGrvc51+i8luo788BVdfffXqxhtvXJWbsfCo2InvCU94wuqxj31s8yrm2r7Y6Cet9ykjvvy15h8vjE90HDxiy3MpS+ziQAJ8F1fyWDUHwg1vb+4x0GBNyj5+9KMf3ViU2wC96o4MXEhpkTE/hwAr9/42+or/t9566zngXrbZ5jUXXnhh402xy1oNZYJdDZc2c014xT70oQ81WwgDeceEAWTo88p4Z0KGBTbD/+NQagL8cRjFHfZB1vZUt689z1mG4sSHQCynLs9ETdvdN6b41JRTcw1FQnhkiLju8b0G4LmejVPS9jkQSiWlrD33KMpCRh/5yEea1Rr2uz/EsNf2uXryasyNbk7emC/WY4LHrmnhOpxSsOVkXPeHQFyic93Uc++bwxdCf4zwvDbpz9vlJOztigAZBVIugTCD3yeB9NOc80a6Nri3+29Vh3fS409ScqDNgQT4NkfydzUHwsqovqG4UIz4UIQS66gWFIsuNl8B5LaS1GrCAPrCzTtG97jHPRpLf1tt72qPtr7lLW9pcgZe97rXNaGHbXlDutqzrWMUNf2t7Ssl2w6GcxTtbfUp69kNBxLgd8P3Y1Grtd7rCBWJeYdAgNN70ueQ9dJzlYOp9d31rncdrcsmLcZtiJTjNbm7zA5nxb797W8/Rxl5z3veM2rRDvXrEM7p91/8xV+c0++adrvnUBTmmv7kNctwIAF+GT6eyFLWdbHXuJT3hbGW+U2NR1MMTp06tTULnrfg8Y9/fC/LWOV22BOH7yN9tEvbLi13bVN/OzxAUdp1u/r4ttRxXrE5ii9wtzQ1KTlQciABvuRGfp/EgXXjy4eUGMSatcRsSpsvv/zyre5kB/xkvV977bXnWfKyrp/0pCc1CZFdlp57JWtdcsklzVp6MeBdkvZYtx8vdqGcXHzxxVtZjbDLfvOIyZafQ0u9ZGhO3XnPfnIgs+j3c1wOolXrunC3uY3rugwFeNzb11133erVr351s/Str0zgBIzwZ10lqK+OvuO8Buq0jSqLjss3LGHLrcR1XQNIfBoD4P/ABz5w7zYh0jYKh9UB2+ZjH383fdx4zaW5isHc+vK+/edAAvz+j9HetpA71xrcsUzfrg4AzLlrrIHULixM1jtgFJ/+y7/8y2ZJWmkNO69Pj3jEIxp3/hRrv4tHc49RMIBjW4GyZpqVXiZvAU6u713ws6Z/5le5zhsA4mvsv1BTxiFdQ+maS+sq3HPrzfv2lwMJ8Ps7NnvfMsAg+cwLN6bS/e9//3ME95T7dwlGwBNQPu5xj2sUG9YlBYdg9geM1hHSU/gw9VrAuCulY2pb+67Xfmv95UR0kbEwJuYIRWbfFZh2H8wv4Yg5bwWMcEa7zPx9cjmQAH9yx37tnhO2LEJJW1MS7txnv/RtZZev3dGOAvTBX9L2OdDl+eFJkZxmS2HgyF1N0WLVUiYf9KAHNR4NALrP5Jnw7oKpAC98VHo69rmP2bbtcWC/Z/v2+JA1zeSAJVXizRHnHSuG0L300ksbK3js2jyfHOjiQNuDI7nMpjDez+4FP8Ce9c6aB5SWkNltkWW/Toy7qy1LH6OAUEZ4iWoJP7zVrvYZrC03rzt8DiTAH/4Y7rQHhIs3mJ0+fbrXbRoN5EKkDHBB7rslFW3Oz/3mACAH7t7aN0RA//Wvf33zToF19m4YqmOpc3InvJSpnUPRVb7nz7JGz2BScqDNgfQxtjmSvydzgJDhWrQMi8X0t3/7tytWFTcptyFBJVZ/z3vec6ebp0zuWN6w1xwwv7zBcGzjnugEYGflS5KcYiHH/dv8lMB61VVXrW677bbmeeqqG6h7eZBVECdllUEXH/JYPwcS4Pt5k2cmcgDI27mNwOEOJVBZ6tzyhyiAAAiXLgVGH/wl7Q8HbHdsi9YpZF7au92eBvs8J805yrFkTu8E0E/LHq0ekFfghUGUgMycnzL6J+/aBPiTN+Yb7zHBuc/Cc4wB3L5cuu9+97ub96gTtgTqRRddNHZrnt8SByiPPEVzyJv0KG81LvA55S95D5D3J6ylz7EyYMk6sqzjy4EE+OM7ttmzmRwgRL3kpFwZ4NWcwg5PfvKTDwIYZnb9YG5jibPg55BxBZaHRpm3cmgjtvv2JsDvfgyyBXvEAYLf++pLcI/mfepTn2pcpRdccEEcqvrkVmUxKtOf71yrLEhhDdnPvARJ9RwwTnM2WIoaKAibIO3i/TGexjZBeRNczjJrOZAAX8upvO5EcEDMfShpC8iz8GsBWdzUFrHcyV0v15EoZS8Ba7VzmVP9FAOcXNdzaRP5FBQ5a/El/iHxcxvyHHK4ai5/87794EAC/H6Mw4ltRbhK98XSIYyHgIPlXYI7S5AlyX3vj4LAcgPcNsIB7v4I/y6iTPzJn/xJk5xof4CkOg4AaDz+xCc+UXdDcZUx3MR8M8aW7MVY++7FP4cQ6y/Yk1+PEQcS4I/RYB5CV4Chv09/+tNNApvvLGKgaJ28pXSRWLSL/gD4U0eveP3oRz96XvXOhXueEGed20TF1qn60SZZzpGc94EPfKDpb/ua+C3x6+abb25i/DYPShrmAICeu02ylR7m29JE2QtwVzbl1dxOSg7sigMJ8Lvi/Amrl/ADiO9///tXwCws9zYbCG5uTVvZsnyGrOn2vUv9pmRIpmNZx85n2nH11Vc3S+WAOZf7n//5n58931U3ix6wA2z3sujstNZHlJ7bb7999YQnPGEjANRX76Eep0DZ1nXKUjmWPyVtE25zZVt+9573vKdh6eMf//gcx0OdXMek3Qnwx2Qg97kbko6sPf7gBz/YC+zRfsAPBFnFYtPWAG8b5Alqlvfpo935ZGpzyQMT7WCh2XvfBiS1RLGxixrgdr84bR8pm9u+72UqffedxOOs8Ec/+tFN4iLlaIyETJ773OeOzsGxcvrOmx8PfvCDGy+UcbaZTr6voI9beXwbHMitarfB5RNcB0EnK50l22e1d7HHte5h0VIQtk0sPJY3oJcA5zugp3hYHz+VWP2SrygtY8l0Z86cGfQMTK37uF7P/W1c7PhmnIZI3N2Wrjwym4i/R90A3YtfKGhj4xz35GdyYFMcSAt+U5zNcpvlYBLMvOFrLll/TiA/6lGP2rm70xK39773vXO70vCDhf7ABz6wUV76CrKvOoVgH60/oRZ/wFX7NhHL7uNL+3iZ7Mgdzno211jz+McTA2SBv3j9ppLr2u3K38mBfeFAAvy+jMQxawcAkKi2DiAGSygJdvKS/FYK9Ti/rU+udXH1dQgAsSSHwhXWye9jchZPiqRCShcPCyv1kksuWYcdi90LyMXjvUo2FBCF88SkJb0Ym7OgA+NAuugPbMAOpbmsXXH3pYi7vmsd+VLlj5UDNLoy68fua58HjF7IY8VAHwH3KeGMvnKWPM4iFmr567/+68bNrX1yJW688cadjku7j6x2yZlc9/4S3Nscyt8niQMJ8CdptLfYV65oyWVLEXBX5q4IwA1tgDOlXcoBPn20j655/e8KtUhCtPlPUnIgObB/HEgX/f6NycG3iIt5ytKl2g4rUyx1KatMAmC4w7n+Wc4+xZW7llEBuSWIN0A8uI9YoNzhS7/SVH/96VtX//ra47j7+mgpvvSVv4/HjWH0e2jO7GPbs00nhwMJ8CdnrLfWU5nK3NBLkzKHgKa2PqDOihbbl5AlnMDlLJkP8FoHL2FL3L9MIlsy/j8UYxdHlmin/iWWCOqf/AEKElBSpsQzMfQhRaPkZySsda1o0N6TQuafeSgXwdwB9BROKy0kguJTUnJgXziQAL8vI3GM2gG8CL6lieKwTmzavYD9fe97X+eGM84LK/izkY0dzwhtW6KGlRYb36zTN0pDWH/tcoAv4LWJjmz7dQFeX/74j/+4URjKuoA9YH7a055WHu79DsQuv/zyJuZejoH7a5WE3sIP5ARwtzXuO97xjnPmofCR3AQ5CZIOl/a8HAh7spl7yIGMwe/hoOxjk4YsznZ7l7Cy22XG77llA2bC+a1vfWsnuEf55acd91zPshcXH0qMK+8b+66cvnj+hRde2OQasLrXJZ4KYMQb0EWs+ptuuqkqVwIPKCZ25Hv4wx/erOe/7LLLzu6531X+cTsGyO1GWCo4ZR+dt0fCEmNXlpvfkwNzOZAW/FzOHfP7CDGCSgKVP2AhMYwrksU2ZLUBg03RnLIpJxSDd77znWc3kAFWNiQR7xaP1j8u13ZogWLwqle9agXMHvCAB3Qmmk3pa7i6uwD+EY94RNMWoYOpMfJ2G/T5zNGGOWPvTNdf9dkaeIy3lBw7+vFqnDTyPMQKgqG+e1bwfOj5GLo/zyUHluRAAvyS3DwmZQG7D3/4w6u//Mu/PM/VLvbIArWWG1h1ARGgcG5pNz2A6apvjO3c1LfccstZcLebHPc0i966duAP8K2zB4zW7pdtB/Jvf/vbV1dccUWjFPRZxGPtcF4dVgOUHhHu74c+9KFNGOCP/uiPmmL0tbympuzyGmNYu+qAa7lmh72y/JP2XUiFAlhDPCPCO0nJgV1zYHOm1q57lvXP4gBgs35dDLgEubIwVsof/MEfNAKvy10JhDcRh1TmVIAHzixUgIfseCamDkj1E7gRyGLutpIlxO1X3s7UJ+Bdy3qd2obgHY8B5QjwsvD8tte+94ZTNPA8iGeBy1eYoC9eH9eWn5QCiXDGjtJgr/YHPehBg8vyXN81jmW5J/07vtaGh2qvO+k8zf5vngMJ8Jvn8cHUQMhb68xyHyPAyeXNOm4Ta9iuYkuTzG9lTyHgBeAR6xm4e0tcnxDmuRC3BoxtIJecB3if8pSnnHdurE3q5QFAF110UaMo6A9XvSQ4u8Mh3g9Z/NrKC0KpAP59ylZz09E/57nbeR+0358391Fc9INiIgTQxT/egqRhDhgLY19Dm1Bua+rNa5IDbQ7kk93myAn+DQy54GuJZSku+ZjHPOac+K2McwDPQlbmEgSYxMCnLlUDesCPgOY2vfXWW0ebw8IGyPINyt3rKDXc8/p26aWXNopCzda1suJZ03Z964uJA3blWucv90H4QN2OU1C0xbI5INPmgeuNm+vabn1eAF6JM0fxeFn5V1555erNb37zWY8GZigXf5L6OUAJsnRyLOyBj8Y7KTmwDxxIgN+HUdiTNrDGpwIyC5ObuZ1U5PfXfM3XNG+DW6J7yqq1oKI+YBfxcq5xQNdnucc98alfBHoJ8M4BXiDMvQ7keTwIfWGLkljN4vysdO3wjvC+7GrgwWOA97wLXS55ngVJjrLsAUgAMq+L0IL2jpG2AnweBPVoD2VBVnyU11WGdlGUeBuMK0XJ9W1Fo+ve43TMmPOE9L1fAT+e8YxnTPbuHCceZV/2iwMJ8Ps1HjttTZ91OdQowr8rfsvyBISAj5t4HXrIQx7SWJ/KnELaFaAKmLrCCX3lAcK20uJa/aUkAGUKB+WG5a2e4IVz/vQdMANG4Bzb0wJwlr/26ZOlZ9z/4abva5P2W6b12Mc+tuGt6/rW9PeVQeFh7QMqS7q8oz7a1XUP5URuQNk2LujTp0+fOIDnRZKMaG8C+/Lz6ASZK3Ip8GvqPI0y8jM5sDQHEuCX5ugBlzcW5+3qGpAi1LpIohrLlCCssTC7ymCtSoybYy1qV7TN/V2KSFedjrm2q84oL+5zjaVjwF3ugvP6K6mP10BYQeyb8hSWOaBwj2O+UwJKAI2y+z55A1jQgObMket9KvFC8CzYpEYoos961w8v+Wm3Tbu5+S+++OJOJWhqew7peoqbpEXzMsYUuFOSfHbNmUPqX7b1eHEgAf54jedavZnqAlcZcBiyWAi9Jz3pSY3FE8lutY0UM2ZpzhWa3OSxExxwbWfGD7XDtZF5X17X1V/t475lWbOw/fYdGOgzl25bucAzCgAPAOXA7/Y1Zb3t7zwMXS9/aV/X99u9PCx94O4+POsbMy57/DG+2yBtKS1m7R5q+ybbZF6VHplN1pVlJwfW4UAC/DrcO2b3ApypQAPYANkQEcRixwCbu7cdr27fqx2uZ10GQLevqfkNaJXFQlYnb4KkwBoSP+9qZ/CoXQahf5/73KfZqpQnRJ1DL9wB5ixpf0D+mmuuaXaVK0GsXUf5W6b9lITI8l7fI/lwDKCHlI7afIZ23bW/8YIiY6mgPAdhEO0x37Sbd8Q4UUyHlMza+vK65MBx48CwZD5uvc3+DHKAuxgIA6dakvxWA8KuIYxtkMPy+8d//Mcm6S3CAoQ28HQN63mKtT3UVqAL6IGDuLds9jGQBx7csJYBlqScoQxpIA94rbEfAveyTN+59rWP1S9hbghUXY9Xrhm7zrVDxHNAieoj9ciwN1ZtMp5LjVG7bL8Bu1UYQhBd/TSW2kV5NAclRG6yPV1tzGPJgX3nQAL8vo/QFttHWLImCc/IPh+q3os1hgCi694Ab8BBcIcVCBw3YYVRWsSbAa54sgxydfYpMVyvEs9uu+22szHz6IelasrrI8oKd/wUcI+yuMzxX1vbmftxTXy6LhSjODbnM3IC+u4F4vIf7AJIGSjp2c9+9tn8hvL4Et/Nv3e9613nbRvcVXbwnEIwN1ejq9w8lhw4DhyYlpZ8HHqcfRjkgOQvG7KwpPuIJctq4p6vsd77ygHowMrfJsBdvdoXe7xz+YqRs+pZy6xx7l2gTVFh3QsNAOn2XvEUEPu1D/UXMJ2ZkfQW/KF08KCMWaKAeUjRiPLGPsfqoYCp55nPfGZjIRtvCojlgXi5iTHj3akF97J/cgVsJ8wTkpQcSA78LwfSgs+Z0MkBlq7Md0vcWEcsJeBGyJ862mXNUinAfAhEabEZD/e3LHfLw4C8P4AKqICmmLv14V3WsYzxoeVkAI+HoJ1lP4U/PAtizdaZ93kYlOc6f8C3KxGwpk4KSxvglak8iorcAJ/6o9/i3ZQhYx73serF8vHX3Fh3Pqjb2ChzDonVGwOJmcILScmBk86BfApO+gzo6b84NCAn2IEXQc9yByrA4ZBIe/UDkAMQFAluNf2gHIitD4EGBUGZ61Ik3Q0BvDqEUCgoY+78vvbIdwhANraUOGEC+QldSgPgRPgAQN1/5shbYTtcJLeCYlIzN0KZsq7funKeAmMD2Ocup2wacfSPJW/fhKmho7g/P5MDx4kDCfDHaTQ30BeW2ZBbegNVbqRIfQDyAEgmP0AbI0oOMOOWDjDsu4fV3wWMfdf3HQd66h0jwC5XACCyvKeScANljfJmhz/74de4t137tre9bXXVVVedBXd12/gF+I+1XX2UF9cjioP1+MaHwrAu4QWvEw8ThTQpOXCSOZAAf5JH/4T1nQVu1zlAxFoFBDYraZMEQNu3sgJZl942x+pkZQJFrmplhava/V1u/Xa5tb+B4Bhxj4cCcvvtt49dfs55igEABIbCElYL1NRZFkKZ4Zrnxkd4NuThiHvxSXZ8EKXCRjq8Rfi8BFF6lDembCxRV5aRHNhnDiTA7/PoZNsW5wCQFlO2WsDSKiAHZHyy7oEWsKMASLYLACsbwjKkJLhfZj0gUe5SVGN5xpvhIodA1n8NSY7kyeCRmAvu6uGav/baa5slgZQe5Y55OdwXYZ4yK58ihedLKUnGjGKWlBw46RxIgD/pM+CE9h8gh4UH1BErnevbBjJD7moxa+Doj+VqA50oa112UjLGAN4a/QsuuOCsxQzkgWyfQqJNvA6UGh4MQKx/EgqnWu7RP31/wxve0IQvxN5rwzi8HhI4eQ2APMWAklSzLDPqLj/xi7LlT7/8No4+k5IDJ50DCfAnfQZk/xsOsB4/+MEPnhNXrmGNxDDLs7xFTOIZ4FuHrFIQ5+4ioMVrIHxQusMBG6tc/XILYtc3ighAlUPAa0EJoTw47pr2UsCuOoeOqQvPeDu8hnZolUFZDovdUkxWtj75m+oBcY+tdikswiwUBMDOE0PZEdvHE23yOyk5cBI5kAB/Ekc9+3wOB4C77PXICD/nZMUPQCUOzpJdF+DDwpYhH3F/AA6klc8SB25dBMD9uVebAHnXtSznMwsktEUbtJPCwKtQS23Qbf8eKofSYr8CwG7XwC4vhCVzYv14JlFSzkEXL4bqyXPJgUPnQAL8oY/gMW8/8AVILLE+wFqHBcqUlAUo1iG713mpjnZOeS1tWSd3PyAHYDbhYY2yuAFTrQs8yhuyiPF0Xes96olPPIxQQRyb8qmP3Ox93osoi+fCxjs2w6lZIgjoWffXXXddowiUno8oMz+TA8eVA8tlBh1XDmW/dsoBwHHjjTeuXvOa15y3XeoSDROLnmu5l/WzmFnFlp/NsRRZ6U9+8pPPutFZtKx1FvlUcC/b1fW9K3Gw67opx5TZZUnXlkGpYW0PEb5657qEwhpwj7K069WvfnXjXaHQJSUHTgoHEuBPykgfYD9ZsCHICeklNpJps4FreSnA8/ITbQTUU0CeVWmnvCn3tPsx5fcS6/Xb9fEKBM0BUZ6KsRfGiKlzy1OkppL22clwKHlyapl5fXJg3zmwUxf9q171qtV73vOeQR695CUvGTwfJyX79AkWQJF0eBwAeDKuveyEJQsAliSuf2vhlyTgI4kMyHtL3Fh2OFe87HZrwPWR5U5J4BGQXR7Z4Uu2UdlLU/nsja0C6Ktb/8XLY7fB8jpzAcCvE0oROpEQiN9DbSQvKEGSCIUyKIAUBF4WKy6ML+8Kz0q6/MtRyu/7xoGdAryH7Kd+6qeaHbm43tahn/3Zn+11EabWvg5nd3svwX7ZZZf1Km/rtI4gn7vv+VC9dmrzMhuJYABC4p3YsmQ0BBhkvMuYB7Z2dbMdLuuUUuA4YAeaQAmI+AP+Q8A01Kby3JSEtvK+oe9LAJ28AUmG3PV4pZ0+8Uu/8WedMID289hYZkiZaJOy8Zux4LoYr/Z1fmsTBcxWu/IugP+hkblHkfFpruGxP305xP4cGv+30d6dAvxzn/vc1Stf+crVd33Xd61e+9rXNg/K3E7/6q/+au+tr3jFK3rP5Yn95gCBQ5huglhlm/DuUCgJTJ4HiXPA/NTRzmr64bh6AT8g8SmxznEg6Turn5IQrnTHWY4AxdIw4LQOoMa6/yV5OpTdX1sPgGU1s7J5NErFnNW9RCiFslV6MIC4ev3Zx/7MkQemPN/XdvfZgY8HyN73xsWYUEooKPtM5h9FRvslIfpu/iFzlILJW+KNkl2K0D73Ldt2Lgd2CvCacvXVV69e+MIXNmuJ7YyVlBzYFgcI9U2QcsP64yEY8xIIPQBzgN+VRa48x/1Z+mVzGArDXEucEAfIwHQpkiA3tz3aoP8A1iZDXUoX6x4wLUHK8UdhAOjA2SZBXbwfq48y4AU9FLXLL7+82cDH+FDspuZUlO0CusrGU0v8jJnvQ6sjxtrqvDGXVArcA9TL+8xb3gt/vEg2cfK5jkJZlp/ft8uBnQO87v7Ij/zIdnudtSUHjjiwrrDsY6JyCU8gyn1LOBPeYv7czKVgjbepiTvXWI7A/n3ve18jqMWr51iL7rGkDZguQREf522ZQ3gD3IFsH+HpUgqZcnhI/DEwbr311lngXrZV3sRb3/rWxmUvmc9qCvkVNcCoPQAd8ConlMOyfHF/ngIhjHWsassLa/dqoPB4sdBTnvKUxpqv6UvZ5vy+ew5kFv3uxyBb8H8cAHwsOa5ZfwRdCYZLMwrwboK4NwlhQp71AwBDQBOWYsCOcbm7thbcy7YCJ0Afbvzy3Nh3YMlrsA5QlHU89KEPbZSZ8ljtd+PLWhwCd2WZC+t4CMr24D0wtSMgULb6YQkSVohyvZ3P77H5G56bt7zlLSt7KXSBu7bxEEhItmsiD0eNMlj2ieVue+BacI971fOHf/iHTV+m1hll5OfuOLAXFvzuup817wMHCDXuUoKeACL0gJBEH1YQIGQNL534o44lXdXKY1X7ZCl1ucApFdzr3p9OYMoK73JJ14wLq1eclIt5qvUM3Llf1d8FQngNCI1F1/loH8UlQgwsUSA8pS0UOa/vHSPX8YasS7wXxoWSJdcBCC9JwjGscNa2fkXGfVcdPBfc+5SCWgL0f/AHf9AsqxQGqCHjIrRDgZhD5imvhNf6biJ/Y06b8p46DqQFX8envGoDHAAcBCILlgUjg5zA5cZ23HeW3U033dRsBbtEkpVucJVTJLggbeu6FF166aUNILK0usBdPZQZrnECF9gMgWdNu/BHf6YSJUTcXLZ/m2w5a5mfc9dcc02v5QxwubgpM8aIpQesgBDwqiHjUNN+YCz5a10y3uYWxYiCtAlSbmw13LdMklJnvk8B92grZYc1zq1fQ647c5RrsA4ZI2XMVUbXqTvvnc+BBPj5vMs71+AAqwDAin+y3MeIS5p7slaodZVHOLGuANGb3/zmZnka78AUi7OrXMe4e7l6veSkhmQvE+7c+OvUT5GYq/iw0sXivfiFtY70g3Uv9opP3jjn/fHt+KvELx6AN73pTQ2gsxKBmT7dfPPNZxWyIQXGeMRGRmM8AzD6apXBXNJH3g5tskPipsDK3Danxctl2eNNm4D0OgoGXrD+u8ou69JXPNamdYkHYE5IaN168/75HEiAn8+7vHMNDhDYALsv5thVNHB/xzve0Vj4XeeHjhHmLDd1hlVFSLI2gdw6BBC5S1nlUwgIENCsyXWIAB8C0qGygby2A3n5AKz60mVOIfIXbRRi8C56f7wH+NcmYEIhE99mofeBkONTxl+ZXOttZaNdf99vS+0olfpLwdokKR/PAGK7//jDGp7S9662KmPM+6H+pfrqeaGYJB0OBxLgD2esjk1LCQlu3TkCjvtectnUeykHrNK2sAUaLK11YotAca5FyMLjRViH9K3WJd5VD8sW6D3+8Y9vMv7b1h7lAVix2Fnz6hNWMRZDBHyAPIWqzXf3KXeKFc1TYY38E5/4xMn5GLFW3XjzmGwaqPRd//C2rXwB3SUS+/COAjVErjFeS1GXQrdU2VnO8hxIgF+epyeuRAKL8BUzZyHR9NtCrWSK68YEU3l9+zuLdQxcynuAH6WgC2QIYjFx8WYJd3PIRjas3DmED5QLMfG5RIgP8bu2XNa5vABAH8QVb5c9fMJ3bnsgWwvMlAVeF2PebiNLfGpmPDexdnhzn7aNEYDloRF64JngbTE/t0Hq0UZtKAnvlgJKimVbISvrosyso/yVZfm+ZFntsvP38hzILPrleXqiSmQJybDlBgwBTohKOAMW7cx3lvcS+78rA7DWAKM6hywmSgl381VXXdVYnFOFL8VgqkehnCSEJnAFonMIgKwTx2/XyVqXZEdpY9mLqePRXAJAYvmysEtQBvDqqsnBKOs29uadMIE2mnsUpZh/rjUHlS1hkAVLIcRjbaGQboPUIzGw/QwsCZLmHcVV37oIT8yPWoWsq4zyWFtZKc/l9/3jQAL8/o3JXrSIQCCgQmgCEEKkjH8SllztEdOOhhO+XvF6ySWXNEK2FAqEW/v6uG/KJ4tQ+wjyMSLgu6z38j4AZmtZoAEMJDCNgTbL20Y1BPiQFVXW0/XdvesANNBsg0hXPTXH5Clwq1OejJvd9cb4UFOuecTLocyYU+aS8AjlaioAmUNA/fTp082SNPcbY5/mKcWPd0B9lqo5p14u+ql11fSv6xr1APh1xrar3PJY8LI8pl7Konms/54RitAStMRSxSXakWXUcSABvo5PJ+YqggHYcYMSoGHtEJqsOQLZEiC/uTyHwBr4s4rb8e0lLBhldAm3roGKPnSdK48RiGLLMrUj1owXXK3qCyWHkAOAAEomtE/8mBvXde86PJEctwSI4FPsbmfslyLt4yZnqUtEVA/g4flwnCJo2ddUHhgnXiL8GyK8oQABevX62waps6ttSylj+qD86A9F0Vw1JykyFDO5B5SMJQBeu0sPzDZ4mHWsx4EE+PX4d2zuJhxYb0CbddwmwpclDPgBvUSnMdcqqwlQlABfC8rt+tu/wyJrH+/63SVku65zjPXDBayfXLzecuh7eC4ITUKUZUshQPgB8OcAPIEJ8PRnDuHt3NyBdn3a0TX27eum/LZRUezWVwK475RJCqLzXjz1xje+sTohTL8jKbC2PZQBSsGccaqto7yOQhHzpjzOu6D9S4Au/gJ484eHRCikDPXgrzAFwF+XQrFft5y8f3scSIDfHq93VhPwJrx9EqxAjODxRzjQzFmqlpDVAA1FAMjVuG5LYYMBrCn11tRTMsx9gJSQYUFzv+oPYe37UCyei9L9U5QL1+KV+9Rj85o+AopeMEIRmEoy6Ocm6KnLznk1YYqadunHFB6NlclylLx409EmOHjYR/hmPwTKFEve/BwiSpGdAKcm6JkjlLapORZDbRk612ftUjQA87oAb27qD37JMenaFZES6lmz0mOd5XJ4J3y1pPdhiHd5bhkOJMAvw8e9LMWDD4jjtZAEWynAgTsXqb3Ea8E9OgrcCdgxoG6DD0EBoCkJtUQ42Q6VsgAMZQ4H+LLOgT4rkEAthb6+EnD6zcIeCid0tYW1xzpmAbHGZJB3kb7ghzZMAXkKi41XZJnPIYBIwC9B5srS1rsxAzpD4B5tB1D6Ijv+tttuO8cKjWuM9amjbX65ned6LcwP95qDSy4fizbGpzr6PEeeAf3wXI49P1Fe1yc+6A/lXDisj89c9jZU4k3z3MwhSyTxLOmwOJAAf1jjVd1alq0Hmyu576Em1IGjuPNUQUOoEMhDQpK2D1hLYr0A7FqAt7zJPXZIC5d4WR7QB+CS4ljDBBkwBu7aCJTdD6SnADxhZlMVVpJ+sLhYjUIYXZaX9sk8x1MKyBgB99NHCWISzAC1l5NMGQMAsc6mL+32mSNLuq7xnKemdpy1h3KEx/hiTI23NinLeFDgfI+Yc7sPtb8pnXJJancdrC23vE752tpH+iNBM3Ie+q7rOw7Y3W/OcMv3gbv78ZEycdFFFzXPeo3nrazXs2OupfVecuUwvifAH8Y4TWolqz2Wrg3dCGgJ0ClCOMojjMVA1dW3BO2Zz3zmea5zgMmyo3yMCRoCCYCz6GoIsAJxS/SAAcsYcAlPEHIXXnhhA9BjZbG+nv70pzfWJ7ekeCnhRmgDZgCPb5QI1ph+KB9YX3zxxc0e4xSr0ltS1skzQGDG8jO/JfWdOdqZbMyKJti1g/tb34DouhTtpMQACuC6LuFhlyI0VG7wVRu8hU97NkHGjPVrDvYpv+vUa0yUr54+oqTwnJk7xn0KmYvPfvazG2XSPKvhc+TLeGc9pdd8HSP94JWyA2CC+xi39vP8+tJhP/t1YltFYNDo+0C3ZAzrem78Vz233377CoizPiWmhRUBELn0/O4CIBYUy9z9fcQ6AWbKnkIENmBnFWtHZIN7sYdjMrZ5LIB+FwEW8XRLxYAtBcYrXllj+uMPAMarPVlQ2uk+ygC+sHiEPlxDkFJSuGv1m9dDmX/2Z3/WfGoD4UthYJVz2VNS/EXehHv1hbeFgqFcfTh9ZOm2QyBdfeo7pk78Ub92hwvcmLFu1wF6ZUwFT94Pf/EOcuCyKcI3wMUjszQpl4IzRuZUuL61IxStofu0OzxFxoxlXkvG2Zzy7JmXYvK8XG3SLgokRdwcsfKBUqnuIa9Eu5z8vXsOJMDvfgwWa4EHXjJYDbhHgo4HHeiwAgDRFPLwv+51r2usFWAD7CJpjyBQRxdF7B8AcG23iXDUprmxaUJMuQStGHAQTwDLmecBeAFRPGNpaS8ADXALwecayksAdtc72PGNF4RF6DqeB+WwzAG/uvTVdQQ5gG+T+3ldADjFi7IAcAl997qHMgZ4gSASHhGOmEruN3YsuTaIAwzC3VviwsMwtXzX4yvFZwqxEiNMUQN2U8puX2sOmguUuHWSz9rlUtCUq/waMk8AqTHnAaJwhaJc3g9cza3IP/BsmRc1lnhZjvIpzQA7wl/mgLkZz4G2u67MyKcgez4kdVI2p45t2Yb8vj0OJMBvj9cbr8nDDozGCHiyFgl5gsMDG78JmS4BU5ZJuAAuYEQoE+YEczveXt7T/k5AsHSBOaUkBLvrCLEzR27LaAfB83Vf93UN4IersV1e+zehBQCBbHkPABNeAGL6oP3qoRQ4F8Belkfg4etQJn1cbxtXYAzk8cd9U15CA+j96f8YGb85ZPxkrffdT6nxznHC3HyocQG324H/8iGMXYxj+5r2b2NiHChmAGjTRKnj1aE01fB7rD2A3bhPJYoc8OQp8hzgP55TxLTRPPWceGZKxWHOuGgb5UkOAF5Tej0DFA3HHeubFxRMni3jysPmnqT95kCO0H6PT3XrPJiE8ZjlI64p3utBbVuSHtxnPOMZzS50rIMuogwQwM7T8oEoAQGUCCMKQy25j8VDMSBkCRDCBTCWyUeuQ2G51pbPkyHxrgT4KMe5Gk+HPAUgxbpGBKwytVmcP9pE2Gk74cwidD2BXQtuTeET/0XdU25jqbHc+4R4lAU8eCQoW8IJU0m/Wceszpo12JQOFiWe+o7n2yBAB+TN5xrluK9Nnitel3UIgPsD5ngwRsZyDkUIAbiTF1PKcT0547mnAHrmk/aXAwnw+zs2k1rGih6LpxNmNqjxLvSuh5r7meAnqLri4x5m7m3XtetiFQO9K6+8shEaNQJKBwEmoU7IUlIIEMBQgpfjr3jFKybxw8XAljDTljHFp69w7lMCDQErcWF911/WflluxMn1Jaww1lktaafr8cR4UpZYtcrFe6CnPvwgYB2fSsZd22qIAiQRjPJSelhq7nUNYMeL+N586flnXpkHocz1XLaRw/juhTrmr9BOn3LbVbn2UkzMjW2D3RwliGdEWIebvpy7XX0bOmZszVX5KpSSpP3kQAL8fo7L5FaxpsfIww24u8A97mW1WYtMGQAiQYS8JUzicu24bVyjDfagd91U8AFqLBd0psI9HXUOfRJgEQse6nNfGfpA0eDpYK0gVk9fWaxef9z03LUEcE2MnAuW4uBaQMr6xQv384woT7na4hggMT76ZowoArXCXnm1hH/6ri19Yz5Ulvbh13Oe85xGyTK32gQk8Nbc3AW4R3vwlDLDO4PfFLih+DZlxJgBdvw3f5eiWuV4KrBqo3kZlvu67eV14+Ha1GqHdduX969WCfDHZBbUCG5CieAaI0ANbEqAJ4C5MMcEPaHowbckLSwEgmVKvG6KBTXWlwDFrusAFxAnKAEkYAXe+uBTqIC1y9WOv10JgV3lqpOSwtKWJQ08upQCdQqLOA/82iEWIE6AinfymgTgAE7jIJte250nuGvCI1N56/p1wEtbX/Oa1zTg6W1yvB6UFfOBYsNqnqKgdPF7qWPGw3zgwRKaoGxpKyXHd202Z4wLZSTmzVL1Ty1nqhJNGeEd65qLU+uO681ZcsUcTto/DiTA79+YTG4RIAUmY0RQ17haXdO2CAlioFVDYt6sG4DIGiEMgSXriDAfEwZLWnKEMsAN0i9xf20B6IAS7wLI9JNwdw8+4BlgrQX3qMcnAFYfN7W4dyg8cc1ll13WuPv7lgJSsGzgQyhfc801q7e85S3nude1nZBVl/X/eDdkAQKoKWSsgPQ65H7ufnyV4LnvhH+hLAGvfaVQkroSQ7vaTFmMXJKu83OOMQY8H2PP9Jyy8571OZAAvz4Pd14CgdQG5K5G0dwJrjGBDQSASkmslbHErLg+lI0y1gv0gaSYMpcsD0FffJpltwThCcCL9gB1MXXtkjg21B+CXZa/Ty7NucTroc+y+YEwIpiBvvojvj9UPgEaWe36UnpW4j5CngIgPDIEShQt9dcoesYc/7rqi3prPs2n2Eug5vq8po4DQPXU0WoYYbMxMic892PP/lg5Xed5Ba0CqJFBXffnsc1xIAF+c7zdask17jrABmiG3PlAFwhY91oSi5Y1W+PiHXrQtUEGv8QkCXDApk0AvhaE4l5AxGsATCkx2gmgWOksdsfwqNxgJu7t+gSqFCKgrIx1CC8tn6I0RdwWwE5Z5x+xfVZw3+YsrrEnOTDtmw9AgeJS45GQeBZKydz+AxbtMRZJy3KAYs8q97yMWfHmw1h4bW7ryBOKQ1rxczm4ufu2sxZlc+3Pkv+PAx50QDbknmVFs6bEfbsIMEuIsh68dGu7lhXXBxrtslw3ZvVZBsdd2BUPpGSwtmuJ9WDpn74r1xpvLvFbbrmlAXTtwRvn2ksD++pQFsHZXi3Qd/3Q8eijHcgoLsrkep9KwFb8dwgsCXFKTHgt2nVQ0k4dWX3i9kMElAM8upSwoXvjnDEMj8LQvIzr83M6ByiuvEFDc0Kpzsc8nF7L8B3KXVcJHq4hz87lQAL8XM7t0X1AIuppAABAAElEQVSsVcAF6GwdS4h3kYeQuxnYSf5iXbkWoMqEJdSBD3BoW+GOS7SrIQlffWvMgQUlw6dsZaDbdhuyxln4NcCiz661OuDMUY5AW7GI5DhWrzX+Q+7rsm+8GKz4Gld2eV/Xd3UCOG206Y2y5yoOPCDyBIaIIjdk0bG0JJJZLdEOh/hNEcFX84IycMUVVzShjZrx0C5lmEuWZNYqhUP9yXPDHDCfKFLGq48855sCYcZAO7+krx15fLscON8/ut36s7YFOACQWawIWLKc+rLlPYxvetObGrBmxRH2jnHvctsSAgCa+1xZyvbwshQAC6AaiklTHigLXbFlrmFWodgzoQTgY5/r9lIbliqr3FazfcIDcLqGpd5nsQZ7KRzW//Ne8By0lYq4Lj7xZShGH9eNfQI4CXJi6HhM0OJh20MyVk6c188xa821VjIA2r5rgUFspYu/2kOxotgZ6yDtlS/BXW9OCDPYyAdvKJbmi2tifph7FLhDd9fih3FqK7rBl3361EbPkyRL7yjocsXrj3HaBMWc3kTZWeZ6HEiAX49/e3M3YURQs7LH1sQTypK/+nbu4uIFuCy8NkBYasOSs21rGY93jGIgBg5I29YCYGUVepGIc4QS4FNG11IbQoMycN11161e9apXdYK8hDntGAP3GCR8AfT64C1cQ6T+da13Zei3Pd2BO9LvdcoNIB5qu3M8BHjbHr/yPmNWa2EDf3+uN84UpFLxUpbz5uGuKRQW7cBvf2OEr1zNwNEciTlFWSmVlpqyxuraxHlzjULnZUo8OEJAPFBB+qYvmyDK3L7yZRP9PaQyE+APabR62uoBu/7668+6Zdd9eQZQsI69CxwIcdY19yuhQdCzBllwBCPruA3u7mEtAroABdfEpjgSw7jW21af+whe66etAy8z+50DNpSRKcSzweofA3j1dvV/Sl36TMiW7nKgq+1zCa/HvA/Kxmf1GhcKxbp9KdsLTEorvzy3q+8xF4Uw9BuPzDGKBw+E5XnmVxcYmXv2IRDiKZXW6AtviPvs2iZJct/6Hu30qW2njsIq5h4eUFiE7/DBubF5X5blO88A/lHclENJ9myUxLM3FB4or83v2+VAAvx2+b2R2jy8iPVMQEm6mbtblQfVu6bbIB0N93CzDlj/seEHACEk++5RJsEb4B5luZ6rF/iwOrS/bQECE5Y/b4I6ADQBDtzHPBVRT/lJ6LHO3B9WdXk+vgMM9c4l/RCu6Fp3DPQJxTntB1TyFmqIcAdIQjLGinW3jnJRU+e2rzGW+AiE+/IawlNlzK1CwBPWrLmMR+985ztHE9DMBzkUEh29U32fydwD5v4AdBCAdqwm9KQMSr75gq94xZNhS2EeulIRMs/Tgg8u79dnAvx+jcfarfFAeuDEp9/+9rdPcgd7+CVYAd6+BxZAAkZgPQSQZUfco2xCowR5vwkgQpqgJTT6LIGwvgBjCJeapV5lO+K79owBneQ87nXK0xyXun4RqOHqjbp9EpjCD1MBHkAB6tL1Wpbb/g6UjOXFF1/cxF/7xrR936H8pvABXcphDZmvPD6sdUBlLlmq2DVGfeUZOwqTJELjcUjkGTp1ZN135ce0+6F/ntXI7XGeouQ5pSjim+dIKM+cTNpPDowHp/az3dmqAQ4AL8Irsp/HBLvrgRlXOCt66HoPvQd7CgFkFryd24KAe8QLAagy266/uLb81DYWv78xkC7vK7/zCozVpZ88BXN3XuPW7Ntv4GMf+1gDDng9hax80C7tryE8pqCYC9pTe19N2bu+BrgDn1pwL9sL6AEUfrDmpxKQK9+VPvX+XV3v2ZF/MgbI5gsqwT3abAktBUk55he5sWT4J+rJz2U4kBb8Mnzcu1I8zIS67GexQ5aHGHZYdYQbq5ol6YGm3dcAAIDxN5Vs9qKOq666qgF7QkZ7YkOdPvf+UD21S97aZWhHjdVGmLFk5BaMKQRddVBqukhf5RSwIi3fo0iMkWvlVuiz9gO4MZoqePGk7a3gUalRpChx7jU3CH7zz72+L03mMLc6oJ1L2nrDDTesHvvYxzaJqVM39PE8Gd85CsLcNi9xn2deDgoFpz3WUT7vkxUufeS5tczS5k1kTNL+ciABfn/HZpGWEc7+AIPs5xDCBDDrzucUcr3yauJ47XJlvBP6gAeYlJ4AZU5tC8VkqgsdH/CgBuBdy81OQZoaDqAs9QlQfAHQ9qDnxThzlNzl9ZtdSg4B6i1nrE65D6z4GkVMHWX81e8uUqc+8ioAOe5/YA2YjZXMbCszuGKBQ0nGD9iyogGeOUER0j5KSNwr3j1V2SjrKb+rz9LJdcA9ytNWLnuAp9+1Iae4X9zfHGzzJc5v4zOUMvNJ+42J5wj/hRB8GkfPCTKu2iwUJ7m1a466f0ihdY6Cbm5Gudvoa9YxnQMJ8NN5drB3ELy14EDwE9hhKQI7QhoQE9hzBSwBVAJ7MJMwUvYUIrxqt12Ncl0fSVdxrO8Tr1jvhBlgnZKxj39jCguwsusexYungEvfMUIXrwliwpQnIVYQKLPGg0KQjwE8cGCpASr1lqQOx4C3P+Mv6UrIQhuAifvc39UegIl3PDSUA65cZUwd43abtCV4UZ6b+50yw+Us+W7K+KqP56ULIOe2xXgY75Kf5qC50PaEeDbxQdvlcnQph9rhXslxlETzGP+VKYHUunlu+PbYU/iMFaWvizyrlJp1xrKr3Dy2PAcS4Jfn6cGXSMgQXF5eEpYuQWG3LFYZgUHQLkmW9YwBYrs+gopgBjY1oM2tqA7A00UsEpv/hEDFB0oES5sVL9xhY54x74V2EYI1yXCUHWWeObLi8Vbd7tcnFjVhW5L2tAVyeT6+A+IhAWx8ga+6a0hfuHWtZgAUFJNacMNvYGR1hwTQoXYNtQXfKRVLk9AHJcv8loBWM27aAIhdCwznkjlmjK0OwScKNb4qm3VMmTaW+OY7oBcakFxY007PL+8QJVHc3DNg/JRNgbQiwDnL5yg7iDcGP5xvJ4Kam3Jppj6rc/mT963HgQT49fh3LO/2oNt5rRTgBIVNaq688srGIiOkQyCsywSCa24sjyURW6JaPlZaP9EuQokCATz7Xs0KOCMmTsAhVo8331177bWNi57AAwIsG8KYBUdAI4IXqMtpsAEPIYp/fTsKNjcV/5QT9RaHz/mqjfpXw3cKif52EaWC8lAL7mUZ3OO8GWLPgKOWtNuSQQA21Lah8gBaeJSGrptzzphSXoB9DXBGHTXKVlzb/tQXFjhwjXlUXuOY5y6WAZpX/ig5U9qoTPwH5Mq6+uqrm2qAtHlqh0KAbj6b1xQOCrNn3fOCNzwEnlFKWo13quxHft8dBxLgd8f7va2ZICjBPRrqGAFw6mipDaHQ91azuL72k/t2nTgmAOd6FysGqFzdQCxiyFzVLEg5AH0U/SlBVsybkKWAsJr0nWIDCHgOnAvBrA0EJlAN64bl5Xhc01d37XHl9SXulWXgw5B7Xhk1rxgtyyy/y0eQYAUMpwIccMJDytMUSx6oLO01KvsE+IDtmSNPSpuMp7Yax/Zz0Xadt+/t+q0vQlzc420PTdf1jgFo7aOYUTjN5aFEuL5yeIbe8IY3NEsneYyQOQro/VHcKJDqo1zwWnk+/XYdJTPpcDiQAH84Y7W1lnbFyKNyDz+Bx91HwMyNxUd53P1itHMEZZThkwAGaqwMQjisDGAv43rM6mV9l+AeZQMxFqusd2209FBdNeBEGFIEpu4eFnWXn4Qr4Tv0HgDXW3qnvX3WOzf3uooZ/hp71mTtpjtlXygIPB0BMOW5vu/Gb6rV2ldW13HWdFvJNC95fgCfZyISyli6lGC8pPxNJc+PcMdU5Ug92gGgJQYahzlKj3ol2NkfoR1eMMcpxiW1f5fn8vt+c2BaCvV+9yVbN5MDLBOafVgnLMU+IvQQYSgTFzDOJS5vQmZJq4CAAr4AzicBVrPenEIARNvkWFjg3lo3pb8AgaW6hICkULG8h0BB2yggAKmPgNISQEnxMX5zFDO8pjCxEGvJGEy5vrbc8jpKhLEy5pbPAXdAbsMormqKope5eFaEhSgpU+aDutz7xje+cXAcyzZ1ffecCneYE22A7rq+6xiFRlLhpnnaVXce2x4HEuC3x+u9rYlAs/1kWCgsK1Zgm9rrXgk37kKCfirF9rNzAGJKXYBe3HBs21meCG7+NhHkLDaWuPM1lntZBrClCAVvy3O132OZmpBBH0V+AFdqSeVv32uSEcv7+74DGWA1FArou9dxcd0p4KLtoWgNlbvOOeV7FihJvnODG/uSKAHCQNzrcgmmzAf3SmxcIo9AWXIgTh2Fy+aSMWgn0c0tK+/bTw4kwO/nuGy1VYTZc5/73LMWPFAkOCSUcaGzZAAd6x1QscD8BThb4iVOVwNiymYdAb0hS3NJBnCjyhaWidxHBC+LSKIdq4irX4IdlyiXqv5NEeZRDx4BX2/Fq+FP3BefeC+zn+XYBXC8H5QxY6DdgFBcl+uWK15SHEsNsDu+hPUebeMNWMf7AmBqCR+B7yZJ+ea9fI2xMAaA5ebGg1oC7DwCSxEvirk5R8GONsiJGPIKxXX5eZgcyBj8YY7boq0OwVkCkO9hOaqMIAEQgJBV4zdXvj8AypoBoIQ2wUOYEYIEM2AE5sCKksC97/5tk4Qhlry4cVuosUjtMS6bmFs9lBh8sLRoHTe7MpRneZFlWJL1xgjPtAN/IzENz4wVJQk/xeQJdyDrHIuYdSnG3WUdU1i6lISxtvSdx7OYO33XDB1nPSqjnHd917vGvOE12AThH57zSgHuGqL8CTXwbLmXchVKb/t+fD9zlMDnmiVJ0p1QwVxLXN6JfqyjqC3ZnyxrWQ4kwC/Lz2NXGsFKOAGM9lukJFoBGnF0gjH+gCTBHcIsQJ4Q3CURYlztBCKgYH0BekKO1YZ86qs+DFn8U/sBQIAxMKAgxQYlJRC7hhWufeqnOOGdYxSE4KfrIlYc7aBMUQT89ZExce9SpCz1ziW8rwV4cwf/apSjOe3BY22R5xB8HitH/ymswBXQ4oXwlnlDCSt5bZy7kjjH6hg7r728DuuQMuYuU12n3rx38xxIgN88jw++Bhq+d7cTgG1iqUtCsisWgEfAZx2Lt13Hkr9D6BK24YkQWxcy0L9NKyOUDJ4MngR8BSbq1S7WsM82OIxZVxQwmfpD4I6HQKadKb4Ob5W1zioKSkstGRd8m5O1X1OHREzjUOsh0B6xet4q+0MECYUYB1sQA82Yb8Z5idh71BOf2oyPnjfzaQ5RUKyIiLbOKSPv2U8OLKfO72f/slVrcoBVYmkWQdJHXPcs0lrLp6+cmuPqUB+rg7VNIA+1ratMLlihBtagkIIlSz5ZiazmbXga1MH7QSli9QEDv+eELwCH/owRQT6WbDhWRpwHBhLs2klocb7mk3cIUNYS3qwTb+6rR194TFCtR8L1+t716lWKlDllngYpd1PPh/rWUah5UpYM3USf83P3HEgLfvdjsNctIJhqhDiLmKAZszbX6ay2ALNyDTGrN5YsjQGz+23x2dUfSWxCDazENhHMIQR9hrBWXwCyfu/CAtI27uEaAU0Z0mZt1Y91iMUrYW+KFd6uL0IQ2mXuaBug6ptDjsuH4DFaklivFC3tqV1XzjU/lIiHv8qSm4LW4dNYX82BKYpSuzxt25Ty0a4rf2+XAwnw2+X3wdXmwa+xkAHMpoUEQSQPoKxHvSxyCWSyzYcStgAzKzYS/QAKwagMAOOcVQMhLB0Xp+d2BaLc0WXdMZgRNwcUAF+52yJu2dq4tLbLmwA6FJ25hD+njuK+U9+w167POHC5Cy8EX3kFTp8+3YxJVwIfC17dEtaWIGNXLneTWGqsx4giMpZBbz6ZsxS/Tc6JyJMZa3Pfee2LOd93TR4/TA6ki/4wx21rrfbwA60xYl0NgevY/e3zbYsHAFt7HEDQvh7YjFmlyqQIAAnfWY52uiOoxb1ZcdyqFBpl2avdC3dkSruur26WrGtvvvnmxmVbumbb7Vz6t35Mib0aI/2nyMwlb5XT53WW3AE8cwbvubslP1oVoD+vfvWre2P7gJUVD4jXJfP69JEyITQSJIRR/o7j7U9zYcxjo49xjc9NgTw+js39dvvL3zwXSz67Zdn5fbccSAt+t/zf+9oBn6xgIDdEU/cWVxZhTjABqABaVjNhQ8hGTFobgC5A7iNlAdZI9CuvAyLi9SzFLvd8XGsjGUKYm16ftYnVX0vaoAzhCsCBtmEZdVm6TeWtf/gKGO1Db8kgkJIkNoWMMxCk+KxDygF6xhaP8Q54x2ZClvsBHufbBNAkRZqTNbkH7fv9Nk+U0Sagb6WDMMDQ2FNuKEpDmfHlKgzzinciVmu06537mwfC/Ma/uSTcso15Ord9ed98DiTAz+fdibiTEOZ6BsRnetyihPKU5C3AQigR4pLz+oA7wFb5BP2YEAprKQaG0ONWlyTIXYqUSYgDRed5Bkrrh1C3GQm3PBCyC56NYmrCFFGvOm1HaqMgRPHQdn3wB8iWspiU0wWC0ZbyUwiDMgWchDWe9rSnNVa0/vZ5J+J+fLN8D6Dccssto9fHfV2fABqoANEuvjqP98719c1YR0gGyHeV01W3YzwFNi7SlzYZJwmPNn6y53ufN0Z9Nmzy2twuD4owQrnXvjG3kdLSAC/MMaRktPvX/q2/ZTvb5/P3YXPgDkcP9rI7L+whPzwEtP0pILSH3dhpk4BhxEvDsmFhca8SZoRyDbHQgS3QrXXxEo5c66yut771rZ3VuOaqq65qrD4XaCNrnVtf21lTNo0B7JQLAhpIaDeQ1CYKR3spk7fM+QPYXYK8szH/dxCAsJTtY06RQLwSBD2lCf+WIFuWShIcIqAWrnUKjnACXlCetFNCGPAplR3lOcdSdT+w1ZfacetqD0WBYmEb2DFgAsLi40MeCvMJCMeb1voAWb3kgLmqjzwX+GHsnWsTsagsqyvwxti71viZ85QA7fJnTuqLe8wn4YauZ8K8o9Sss7SwbKe6KKDGZIqCU5aBJzwZnp+k48OB66+/fnXDDTesEuCPz5huvCeECEHnk+ZPuBEybcs5GhIWst8BjhFLnyOQCGQgw8Xc1ktNaG3SFvU6/5rXvKZxSQOnWBLXBQAEN0EHeAlf8fSyfdza/rzgA6BMIYqF+ikaJbGaKCRLkD4BjhJ48QI4AyKArm94gP/i7wBRwh0+AS3WOQUY/0KBw2tgaEkikKNg2RYX/8u6avsARGwFTJHiIakhYAnozbMhMubaqu2Rle8Y8I5Qj3HmfSg9RnYXpPjhVx8p03zAG2W0FQ48dR4vXYNv7WuibH1vz4U4F0oI74Y2owhZ+cRzioQ/fZOLYOzX2f5W/839pOPFgQT44zWee9UblgqLWDYyYCe4CC0AwpMCLOZSvAqV25yQAzoEnfLDEhM75zrl5iWQAXbbMu2qn3AGyKxrS/FKkHdMXZZGEd4A06c+6u8Q2QQIP9p5DGKy3i0PiNchwAK8AYc26QOhTfhHbkP0BT94DgL4gQWwDf447w8ZOzwuCQ94JfC0Nnvf/RQa1jiA8zeFvBoV/4dAuK88wGi+mXveBmccSjIGNqUZUyDKe9b5TlmQC1LOBfw2ZhQvXhQKFTAvlUlz25gZ15gvFAueEOM/h8xhYYa03udwb7/vSYDf7/E52NYRTCw8QqpNrJKnP/3pDXjOBXlC3otjWKXAB6CVwhlQiS8DBN+7NiJpt6v9mzULjLg+A/hcA2hYS0D5zFE+AkvQS14s3WsDR1mmpD3liRVz+ZbEumfVritkATjeAF0Aqp7wmpT1ld8Bi7aFh4NV3wb08vr4TkHg2ne/8AAloY+AEivcPUI8Q3zqK8NYG/M5IQ0g+NrXvrYBcUph2/NgTgoZqGNbBOR5ingT9En4STgJ/0MRG2qLNnt1sXIonDVj1i6PwiOZcA5P22Xl7/3jQAL8/o3JwbeIcLrpppvOi2OXHWOJADRWTJcSUF7b950VA2S5QtvEohZfdU2fK7R9T9dvLnngJ1cgLClWKG8B0KDEIPFpMVnX9REgFOckiF1XKg3u4apfN9FJmygflgvWgETZVkqShDXAwSKM/pbXdH2P2DyrPtzi6uYJoXSxNPWVlQzM5gBR1AuEudKnEhBElB9zrq3wmYvGDw+2SZQvSpg5bMzmPAu8WeaofIopY25crrnmmm12N+vaMgcC4HMd/JYZf1yrI0iBQztJrd1f17HkWHVziZXaFUsHctzNLHDW9zpEUdAX1m0QKwv4BWg4TrB2KRpxT1zDjc/S5Vlo01SXdft+/QYSU7P9oxx94l3A02uvvfZsqCPO932yxtXJYyKezwqmJChHn7yqFqi6bh1wV//c7HMKpT9KFiWGYshb4o+yFqGWvj5u6rj6zS0Kxxxw1y68N26AvjZ8QSnjdUo6GRzIZXInY5w33ksWSS1QcU8SSABhLH7d13AufsKqJG1gnXAb11qh5f3t79a02wYX2IeFpF7udjFT1qn4unj9GAE97uFTR1ncAKdUEli/ygdCU0kbgLuQwbpE8dIumdkSCqPPY+XitVg//lO+SsACZI6vS5QtseZaIOuqD39ZvPI1kLbN4XlX2VOPGTdK6NC+DDVlmuvmE4/T0PMXCo75t81wRE0f8prNcaBTotCWLbuhIXpwxR5pvrTdpORAFwdYkbWA4H4CW/xvLsCbl8CIcAuiOHAHA7wlSPmsT67hyBlQLwBTD2VC9nqNdaksQpYVrzxKQxAABJJTwQa/AXuAu/ZQenwCL65y5eIx3mi3cRoiSg0gFWOfykc8YbGXxHLXjnUJb9YB96hfOVP5HPcu9RlJkVOSFIfqNv7ks/GlOJQkB4KnwJ/nbduhiLIt+X37HDgH4Amvn/7pn1795m/+ZpNdKTZF2/uVX/mV5mEXJ/y5n/u5jN9sf5z2vsapFrPr1xH8oVCUAA9EWclzs4q7mExoiucHwANLz0SN1V6WFy5qFlsb4Ln454COvnLRei5ZZgCwzIpXp3K11zWeZwqLWH0bCMq2SvbiuQDYZEINudaYGIOS/C7HqDw35ftxsjrNoTKLfgofuq71LAmReFmSOeG5ouDhWSShLqEcddWdx/abA2cB3taTL33pS1ff+73fu/rJn/zJzodSjPVnf/ZnV7/927+9+rVf+7X97lm2bqscGItDtxvj+nVctwGYUW64b8s1znFunU/lAc8gVvMcKwjQAkCu+nbmMvCdWqayuNSFC8S9gTJlpE14rE7Az7oG8lzwLPU+CxIvuX7lC3jma4iLOJSg8nr8AzRAvg3+5XVj39fZO3+s7G2f500xJkuShD37RBjfpORAcOAswFsPaeebIXIN677GJTlUTp47fhwAUNzDLMQxIuxlXrM25hLAbHsAWCnrgEhXW7os0DkeAiAHZNvlafMc8GKBiyezBsd2sYt+BXAD4mc961lNElxf3NYzTrHRbnUMkZAAJaPPpR9ekL66hsp2jgI0VYEcK3NX5ymmZXhmqXaw4nlbjMMuiQJcKu67zHPYJR/2pe6zAO8hqqU5y1Vqy87rDpMDAN7GMlzQYwBIUQQybSt8Ss8pCKXrF1AC/E27IpU/1r92P9wTCo3vwEpMFPD5BKJTSP0UBSDfB6pD5RHAdvmTW0Mg971wxnHP+tBOaRQta7Ijdt9Vr/t5DZSnvqlknXi518HU+/fpeuO2tJcp+ufZM592QRQMCvsHPvCBcxRZ6+3tRGiOT/VS7aIfx63OzuwXa1avvvrqZgMGS0niz4YRScmBLg4AW8AjdjsEss7T6rmUu4j7mruXe5iwAoxdxOptW/CAswT9rvumHlMeoRxEUA3Fr+O68lPWNqEeMXHlKccabC72qW0G0Dwl68RxAa01+ZYr9ll9LEJJWn1EYF933XXNeu6u8EDch1+WL+pve8zimr5Py/baqyX6rj2E4+ZAOZ+WbDM+T1U+l6gfuBt/uBG7IjoW437T0d4YzjuWtF0OnLXgy2q/4zu+Y/WCF7xgdfr06XOSfwijpHkcMLnFTT3gHkLC8Ti5r/QHGABuyT4+gZA+AzAeIoDtd2wSU3ISsMvcxhPCAIj57kUv+CV+LHaJgGOXx8nxPrAq65rynYJRru2XTDbVAuNKDytZG/XDVq/+JPCxULm5WcM1hDfuXZeUQyCL23YpC+LE2ttF2mrLWmMpwWuMGAnmgQ1WCPwxS54iwPIzB6YqQGNtWeK8OYl/nmuWM2WIgkkZ4W3o49smAXiTZQ/xTAhH0mkfgDvuvN0Iu57bobLz3HocOE+imCQE0Ete8pJBS2y9ak/W3QQlFyZBGNYfocVS5a6uFez7zjXgqi8Ss/QNoBPQhDmBZ9mlOHSbnGPdAa0AwrjmzNESIG5iHiXAQJACiy4BSskgYOe40aO+9ifrmwAPUn5XMlmcb39SCAj+SGjzu8w9cFy82+Yj+jkGZniJJxSlJUhc3DgZu1KRUTZL0/i1iVJy6ig+bz7XxJPDqyNXgLJD0MdYt/th/uB5vD1wX56NUNApdxTQWJevfXhnXpibdk80hraBjeeh5B/FZVN9Ms+GvGdlO5b6bj7arKcP3KMe5634MBc21f+oKz+/wIHzAN4EkYDzG7/xG6tv//Zv73zAv3B7fqvhgP2iWUolEZ4ylQl3m6X0uaLLe/b9O8HGCkdicSXx/tDe2wBPKNmq1Ss3S+Ar78WjG2+8sbHoZAtzz3cJMpYTAez8FBAu6yq/6w/BTTlD2mqcahIJXU+Q6XdpbQNHik5JlGovQgFqgLMLVHl+WEoUxBpQLcsf+46nYqVtgHdfWIUUKsBLcdMGQn3Mk8ErwQqnuNjUhfLmz5ptMXkWsDqBvP4ZP6CI7108GOvHJs7rPwVdHsGZAcUKcNtBkcKuj7aPpbQ5RvEM0jd9rJ1DcV/N5y6sY2NI4amh8MwlwNdwa5lrOmPwBO0LX/jC5qH3gMZfxuCnMd3kZ822wb0shfDg5gzLvjx3iN8JaUlXLPJSSAM54AjASuIepgD1gXtc6zwBaymQOroI6BOe4sqlUO26tuaYpEFgGu5keQEs3gC9oTIIfC/WoWiEBwDQAbO+rHSgaa60rSHzCMBwc5onffcPtWfonPbxLLRJH0IBo4QCZX3Af39dPDYGgIb73lvaKAQEuvuCKDmOCcv4bgMtvAWGxq+cN3HPLj6NA1CifEpmbHsbyjZRUIy17XmFqp761Kc2W/jG2Me1eDZn1UTc3/cZfO87v6njnoXanILa6zbV1pNY7nkWPCb8xE/8xOpHfuRHzuNHxuDPY8ngAQIhrL+hC1m1AKwPuIbu3cdzrBQCm/Am4Ag+IMUdDaAB/e233940nVVYu8zL/XgKdPqIpQkAKRkAcy5F8llY30CL4I7fIVBj1zi/KQIsUq5a1jhLPZQ7508dKTdjWe/aDAyVi/RX/oE179pAIVyalNkV8jAfhesooNoPiMkALn1t1F/tM7YEvXFXDhAr53L0XfudozjsOwFsbaVUTQEmSoHkRbkj5rrcBi8aKuesOY8/Syr1nrUxxUjbYrzM0xg391GstNEY+qslY+v6tlLadf+Ucrvuz2PTOXAW4E1KE89DzPrqIxOEJf8N3/ANfZfMPs5tNSXZaHZFW7qRoK+x9jQHeHlIjwsR4oSGP1YcAUAYEJqsduPMjU+QThGg3MJDmd3qcB7fuUtrN2op+c6S9Ay8+tWvbtpNIVEWNzPL0z70riEkKTAxzgQllz6PFyWjdF263/we81TgBSWCBYw3votdIrwLb0LZ3nW/Gxtlt8kYaa92IImT3PmW13HpAwTjW0NtK77mninX4Is/8w6QmAfrkDF929veNmlulvUZM0om/hjTEuCBOwVgztws64jv+mzO9QE8IDdXzxx5wIQP+hQLbYQBPFeeobLNUVf7M+Z8TdjIs9HXxna5+XsZDpwFeC66H/zBH2we3G/91m9t3GseSmSCEDS///u/v/qt3/qt1Yte9KJlaj8q5eUvf/nqZ37mZ5rJrh6ChpLx3Oc+tzk+JMwXa8SGCpoCXPp+XIkA8hfkIQeQxrbtwoxr+j5reErAAydCnluZ9dsn1Mp6tJF1KhHs9a9/fQMYwF1iECtWu1llPC5csX1gqz79cy1AdB/LlhJdQ8IAEgmBROkBorSsC1xd9SuzSxElkNs5E/jIquWCBvK7tMq0mSIFtMJLRGbxFJAhQgAhw7r63XdMH3lfauZaXxmO87xItms/2+YZpZfCFCtDhsoZO8fbZJ62CX8oxLxGNaElxhug9sfYMH89R13KX9SFv5QVYzBkxeuz8uaMR9SVn9M5cBbgTRJb0L75zW9u3PNeAekBp23KlqWNWvPq/FKg+4Y3vGH1/d///c22twSGB9MkMxl/8Rd/cfWN3/iNTXJVTbeU0ydwx5KBasqfc02X27OvnFpLqO/+QzxubhHCU6j2etYH4CJ0WOMEELDtcnEDKS5noBAuaXOJNcNaJZyUQWCy4sdi4K5TF6/M6aOlpgS8OG4tUQhYXACgJICDZ0sTXrXBjCD2nFNW2qR/kgKBF6AaAoD2vfEbf/Has66/5AtPAV7XkHE1DpSN9vON7wwSOQBkylQlhOelrdjUtKl9jT6SnQCwTWSDZEN8NNZzCf9jCWJZBv7og/BXjXJb3us7HpqzVjx45oZ4SAmQUKgv4e0pyzM/yPcp8rC8P7/P58Adjh7W/+m63QTxkHBVcRduYnBe/OIXNzE9+9+3Sf0e+lA02ufbvyVqdU0u111xxRWNO5jFsU0CJrJp2xp8uw2ACBAspTi1y9/n34SPN7KZZ2ME3IxlLcgrzzwCAIQ20PJnXAhfgkeZPrnPgQ1hq3yxZpa8eR/AIzRFAZ1CxpZ7nqu7tMaHyiCw8YNVWhLwIyiBWs9jW15e/Z1y49ko8wNO/V8yJLduH+ElAOhK0Ou7x/Hg501Hyx4pVaxPCob+GQ9/QH8IVIzrG9/4xlHwoqABQeXVEKXBfDFHKGk1ruehcs2tK6+8svPZNobmBz7UzP92PbxNXbIZb9Rrt8Ix2dMus/1b++QQ8EgZ7z7yPOEbhdCzpF48ZyRScMg2bUraDgeuv/76Zuv53hEjkAhFk5B7EhE8rJqlyMP3ile8YvU93/M952nu3Jm0SNphDXH/9NHQxOy7Z4njBJVkK+/WHiJu5E0oUEN17ss5PBI/BFpjZL64fgoRKgAIf4EzoU0QEUBAhUAnnJwHcgQmYeQ34YZcc+uttw6Cu3nqj1AjYNVF0KlDrFXbPTtlXL6rH+YqqzPi7uU1gNFz6byylyLtKkMlFBxJkmLQQ4RvXNks0Zp4bZSFN5IPKVEUiJAzcR4PuYgp+MC/bdUbD+vNayxTz57xrAV4/eHtcb1VEORQrWIW7S8/zQVj1qW8x/wCoMbbSokaxU3beFwf9rCHdT4PPCOep3XBXT+0h5Fl8yogH20u++h7zFvhrNIbREkbUtTa5eTvZTnQCfA//uM/vvrlX/7lZjlHqXV5Vewzn/nMxVrwvOc9r9EyWAtcPASNh58l5cH6f//v/w1qjYs1ZEMFEUy0bA8JId/18AI3SVsn+SEArBHn7uKR4bnssssaYGsL+9qhIxT9AWGCDziVdSnX+XK+K5uAtl9Bl2vfeVa+pEFCDeiav8aSUmFes8y42v0BzTGAZ/EA2z5vFAXFfFkK4AEzhYG3Dun/ox/96Ka/2gLshogSDsCGAB5P9EfZeAwkXC+PoYuMDwVA3XJxwiKNa41Fbf+NMSVizIJUp4z3WPVgPF/5ylc21isrvkaZiPa1P/FniCgxFEvzRdyea50S0yZz1xI74E4Bbc9V17uP7MTzpQgPGXm8NWOhxAT0pbi+TDmdAP/rv/7rjatl0y5tk+V3fud3GgvXw0UImrgE2DOe8Yxq630ZVmymFAKNG5IQ1T/WI2EXVpLjJxnccV3/KUKEsHlAeBO4juMPSw9gLsUnY+Kvhgj2PguOd4ZiYMlfl0BWPvC3hlx8EhHSQwIfD0p3LSFO8cUHcwYPPDc13oCmwpF/QAWoAVFWmLi635QMyucYwCsegGpf21OGJ8oCkAATz/HMMxBewaHmuedVr3pVYz0KIwTZ+GgKxXwiW/qIwideXhJgYw0D4HUAvuZe40qhkuth7hsP98W48FyZCxSjPiVXe/G69MaU/Vnnu7ZQPnhKuxSLdcrOezfHgU6AF7PyEG4a4KNbJrW/40rx8AIpDy9yLB+UL4x4uPi4ewl2RGDhUy0Yf6G05b4B42hPWSqPA6HHpTtE3K4ELhc9axcwDwE8Qe46c4N3gLILZIAU4W3+ABxKD0utBjz62gfcgR73MOAAvgA9rFj3USr6vBdRLotTu9oAT/HhjQvSN9fFHghxfOgT8LqeizgAemqfjZ+5NES8CuZZe6z1v50LMVRO17kpzzkeBh8pg1OIQgWEN0U8WZbQmX9Jh8GBToD/pV/6peaBes5znnPODlS2rhUvTprHAZr31BjyvJoO9y6A7m+bRPh3xRYd77JgWeWur91IB6AL0QDQsYxpwl3/KQSUbDHktruVm583iJIxN0taPFXyn8RBigQvEwFegpl6WOZjAA9wATcwRL7H0qxyHNWpfKA9hXg0KEkB8PFZWwbg7hrf8n4KDiXiTW9601llwLbLXOI13oayrPb3bQGiuTU2v9ptm/LbuFE+t9WfKW3La7s50AnwP/ADP9DE4bhNS3fQFE20u7o8mhzYDw6Ucd0+4S+U0rYWPQM8XFOFPiucpTu2TannTXIZgByK14vF64OsekpA6dYf4rC+8gp4tq08oUhQQLq8Afpeq5BSAigDCMCfOXLbt4n3oit5sH1d12/AxUIFMpSRWuVKWTyRAHyI8J3i4G13XPXhOZKpP2b9D5XrXPBl7Lp1zmtjqZytU9bQveYd/m9bCR9qU57r50AnwHsIuel26Rrtb3KeSQ5M5wDQ8ccCAbasYkJfzFt81/f2fCc028KdsGZZK2sqEY6AtY+AKeH5lre8pSqOKhYN3FmawFg4oM/9D9j105Il/aQQcEfzLLSVmGgfBadP+Ylr4rN0bQNi97YJKEzlW7iseRm8b5wiAYTxqR0zb9fnN4VMUlppqHRd55i6eCHwBy/Nk65+9N3fdZybvUu5wAfKSvBY+1xX086uevC/b+y7rp97DP/VlQA/l4Pbva8T4K+99tpmjakM1qTkwCFzgDACOPFHiAI6QE+JPXNkaRKqrPL2sizg0AZ9eRRDlvUQrwhgAh2QtN3UgJQL3/KmKUlSgNrmOwAQ0GsvYAoACdACNIQz5Z0noQa4CPF2O/v6VyoC5ffyesfH6nUNi9sYUb4QT4VxtJxMaEJfJADqp78hIsumgJG5YIkeD8FYW4fqjXOWspUhBeNizIyDvAr8VafESXOQMhKhjiij5lM5fYpazf2113iO2kpv7b153fY50AnwJopd6+JBi2a97GUvWz372c+On/mZHDiHAx58c4cQ851gZZXuKrTD0pZ01F7mROACRDudxXpqYB/LsghLwAhsCHux6SB90r+5hD9dwCk+DVC6Yv41dXHP+gPwYqSnjhLoACOvAUDHC7+nkHIoQjVUKkL4q49AuSS/XQckusiYyG/QVvVauleWAdS1iRKEX8ITAL/L7a9+OQbmnrGcQgBWMllXuVPKoaAIyYTCoy/mYju8Y9wpf/4kJZqXY8vRutoxdXy7yhg71qf0qNsffu/qeR9r+0k83znzf/iHfzjfJncSZ8MafQaK4qQ2xSCgESFLWLG4fN82WWfdZQ0DGEvfWOKsQgJXmwlgy7IABwuSYLZ0CWBRWAg3n3PdqNF/ZZSkHt6DvnXh5bVj3ykf+sWytSIBUM4R/PooHNG1VW1XG0pAotTJ8m/HyVmu4vBllr6yALBNtPDBqgSehi6yhDKIMmNc8O300S6QxtO4mmcME4oZoJ4zVgAKwJsTAHkOaZu9G8I97/ng9hcSGSJ1WlJpDpY8HbrHObzbBrCW/DTX8NxYmG9l2Iuyhv+7eO7HeHWSzncC/Ld8y7es7BPv4Uk6ORwAPGF9s7TKh7mGC95TUGr4AFM8WSKXmOk2BJB2Aghu6y5wL/sBcCSaARfZ6NpOEPtuS9xor/azvP0muENhYR2X/S3L7vsOzEoPACCKjWX6gK2vrKHj+qH/ALXWCi/L4y6mKNT0DxAFr5ThO1ezNpRWsHaQKazUUHJca4msc6WnpGxL33fgEjkIVvdoqzk7dd52lW+cKX+UirIPXde2j7lXRn4JbsZ2bElllAMsp64512eK1abj8OqgTFBEKH+UljYZX3yzsZO5XXp32tfm781yoBPgCWOaZgL8Zpm/T6UDY0I2XuEqHgwcSiHV116aO8u9DwwINhbxFIukr66x44BD8hW3dA0BMSAbS7jE2FlvwJtlohxAFUS44Yu/SPSqtfJYxBQFFqbvQDSsnL7NdKLeOZ8AXn+mAjwlRDJg7Xp1vMOjcNFqK8uVFc+SY7Hrt/HXb/wFYMBdjLy9Xn5qX7nyAQ5FAbguRUBTDN2n9npGxgjfIpRgriBz0hzpez66ynS9nArzo4aA6JSQSk2ZXdfEfLWNsRyCIaKwmYNTvRFDZea5aRzoBHhxo2/+5m9uBB/hF/TzP//zq2c961nxMz/3nAMECqEUgoXg7gJs52n+4tFBXgDDKqKFl9ZZnC8/CfehZCdtoARsA+ABCQtiCgFAQEQgW0IGbPsUBMLaOX/6IysdiJbu4766CWzgri4COQAAbwDU0iRkMrYsr12nsZZ/w03MQh4j4Kc/6jKHKD4BsvoYypA55lqEZ/gILIDz1PHqahOFzBjYaS3c4l3XTT3GYtVe8wJgmSv6Gc+U8vRXPykuvDtti9XzMQaG7Xbh/ZTQirlkrDehKJZto8xZwlnbH3KB8g/kY16U5eX3zXKgE+B/9Ed/dPVDP/RD59WcFv15LNm7AwQnkCOEWE4+CRjClbAijIGMhw3gIy5jrs42ccERGmNWBOESwrtdRvwOMIvfm/okeKe6uoGThCh/3PMAt4bcJ34vmYvVNgTywL0Ev7J8ba6xDst7ar4bd8oH3psXY0T5o9RR9Gq9EixWyg43NmXQvOoS5OX8MA/xi4ek1m091nbnAbC5HRsR1dxTcw2lB3DzarHojRfwxVPn9A2ox/PULtP1ZVimfb7v99Q5oY2e1anzv6/+9nF9lZPSzq1oX9f+zYrnVfMMlPOgfV3+Xp4DnQBvP2qTUoaqiUmDzYFZnvlLlwiYrI32AAKfNok5s3SM5amjLGsWB7ceQWW821RrQQAGrlcCu4sI9CWtqq46ymNTBSOhqI3eGDdHEAtniTUCuK44suPi/BSvPtrE8wXYjatEx7C6uoDe+FH8hAw88+ZIDeEbgKfkKNe9iCIzRpQP4aCliVIqHDSmlM6p1xh1KS9jZQHGtlU/do/zXd62ofvMYc/0kkpTWZ+QFA9GrVwo7/Vc8IJsYlzKevL7uRzoBHjaOBe9icIN6WHknvda16T95ADw4O6sEZqEvpgiQe6VmASJh7dtgRIWNULGNVyjFIgut646tmXBq4cyUWuFG01WGQ/GHHCP2QBYKMaUHCAALCk9eEPA86bwEPCoOF9ae87X8Dnqqv1Upj8CmQKCN8bcXGGJSYTzGzjHpjm1fANYT3va05pkxpJvQJ4FaRvdITBk1eHF0kSx5VHYJyAx1hSoWsUJT8yVco7U8IkCQuGKTXpq7qm9xjNFHlCC55AQlHmyT+Mypx+Hds//BsVarf7u7/7u1dd93dc1E1IS0utf//rVT/zETzQZx61L8+cecIBQppTVgHvZXMLwda97XRP/5T4jlAECwUL4szprgYci6FXCBFm4K4GIpUIUik1YqGVf4rv21liQcb0cE4KnNqYY97U/eQ2AuP7iG8Dk6raK4Oabb26sW6CmLopQ6WXQZgJ9aeKdAe7axX3LwjPOxiN4pD3WlVMOa8GdsDdXWO7AtE2sPF6kvvL0vSv7ul3O3N/cwfq1T2Se4X8t8bDN8XoBUGGWqcrBWLskMDL01uHrkAdrrP48P48DnRa8pUMEf7iVaOrf+Z3f2QgrllrS/nCAAAfuLPI55KGz/torTWn/3JssOqAzBZTjWoI/wItlOkWozWl/+x7tZpGzpMMdzZLmHtQWc7v0MojZ9oUW2mWP/bZJjbrj1bBxvXYAd394zFuiTsqQ9rKsfQeySxJQAXZi0ohFbb74TfkQn3d+ClEMKAksdUDeRwBcn/S3TeYHJWdTpGxgFPJrU/VMKRfv5Wp41ihYQxR8i2dq6Nquc+a7JX6S2/BhXVIWuTB3E6aof6zfcV1+LseBTgv+MY95TKOdl9VY42yQk/aLA8BqXWuI+0wmM4HCAmCNzxWO7nO/v3XAnfWnXSxhCV88SVy/NQKL5UqYIm246qqrmjKUc/poU5SyXQCoywqdM8qsGyDOWu4jfAbuxq3Mk9BmgnkpAii8AvJnADFAxztCFvDHBkRDbvSyLfpEuefZYZ3XKEXCFqUyFeVReLqOx/l1P82dfQMTzxa+WxY4ZJlTvljgQ9eM8YdiTXGltM99jtWhzZY6ypyniK7TJuWte78ykqZxoNOC/97v/d7VM57xjEYYShBizRM+X//1Xz+t9Lx6oxwgKJdyR1peA+x2HSNj3QFJ+QDc5mGFYyRgZt2wICkQfXF918n+f8pTntKAm8x4CkKUwQoVDxVTpDQsCQZAGw+H4ssSjrQNSAJhglSbZWlbX7wECROwZLUjsp7t0kfZ8SxrI+EtV4AShedAl0cHP8L7EoqHceDqn2LFqR9/20rEkvzu41WNIth376aOA0l8vfzyy8/yklLInY7PwN3YrAPK0XZlKov3VS7VlHFThvAaQ4+XR5uROaNtc9z0wL09D5pC899GOdAJ8BLsxIC8K5qQfclLXrL6tm/7tup47EZbnIWf5QBhPPXBPXtz6wtBTMDvEuCBO/Dr22BFf8+cOdOAtsQ9oNMH8gQcICE03RfZ7bGTGje5Nbr6vSQBlhCIQ+XyGriOsAyPAoHsudPHdUif8UV5Ae5Rnj47jigWvBqURIKc4hMgpB/aRmGhbM3lE48FsFBXqaxFezb12TcvNlVfbbn4AMzNQ2MtZKKtgLNm3tTW4zp1USAlfxp384q86FN+PDPmgHYZs5iXUac2UpzneAwp5ksoLtGW/KzjQCfAey3jj/3YjzUWBiF5ww03rF760peufuEXfiFfNlPH161cZWw8uEsRK5drbxdE0AGDPnAv2wR0JH5yM/clpxEmQkri2lyM1xy9YhRgsVRZrACWAGTpLknKrLFQKR0EfQl62kzwU3RYy3OIG1geBO8At7r+Rayc14NHLkg9+MDKH/I4xPVzPhkIyqZIUCDxRp4CUCv7PqfsoXuA1T6T/m/LZa0e84Ji5xkwDsJfkQRJqTMXzQ/fSyA2XuaqP7KG8mhumTu1pH5et30fk9r+HNJ1nU/Bd3zHd6xe8IIXrE4fxSvLQeHSS9ofDnj4AONSNNdKW6J+oF2COwHIgiBIuiwOQoplaZ/4UiCVbXE/wBR+AJjKKfvIYmpbKeX9c74rjxI