323 lines
183 KiB
HTML
323 lines
183 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8" />
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<meta name="generator" content="pandoc" />
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<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<meta name="author" content="Fin" />
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<meta name="date" content="2021-07-15" />
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<title>Task00_Introduction.knit</title>
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<script>// Hide empty <a> tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) -->
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// v0.0.1
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// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020.
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linkList[j].setAttribute('aria-hidden', 'true');
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}
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}
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}
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});
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</script>
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<style type="text/css">code{white-space: pre;}</style>
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<style type="text/css" data-origin="pandoc">
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code.sourceCode > span { display: inline-block; line-height: 1.25; }
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code.sourceCode > span { color: inherit; text-decoration: inherit; }
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code.sourceCode > span:empty { height: 1.2em; }
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code.sourceCode { white-space: pre; position: relative; }
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div.sourceCode { margin: 1em 0; }
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pre.sourceCode { margin: 0; }
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@media screen {
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div.sourceCode { overflow: auto; }
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}
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@media print {
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code.sourceCode { white-space: pre-wrap; }
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code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
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}
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pre.numberSource code
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{ counter-reset: source-line 0; }
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pre.numberSource code > span
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{ position: relative; left: -4em; counter-increment: source-line; }
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pre.numberSource code > span > a:first-child::before
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{ content: counter(source-line);
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padding: 0 4px; width: 4em;
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color: #aaaaaa;
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}
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pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
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div.sourceCode
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{ }
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code.sourceCode > span > a:first-child::before { text-decoration: underline; }
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}
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code span.al { color: #ff0000; font-weight: bold; } /* Alert */
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code span.at { color: #7d9029; } /* Attribute */
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code span.bn { color: #40a070; } /* BaseN */
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code span.bu { } /* BuiltIn */
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code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
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code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
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code span.do { color: #ba2121; font-style: italic; } /* Documentation */
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code span.er { color: #ff0000; font-weight: bold; } /* Error */
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code span.ex { } /* Extension */
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code span.fl { color: #40a070; } /* Float */
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code span.fu { color: #06287e; } /* Function */
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code span.im { } /* Import */
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code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
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code span.kw { color: #007020; font-weight: bold; } /* Keyword */
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code span.op { color: #666666; } /* Operator */
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code span.ot { color: #007020; } /* Other */
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code span.pp { color: #bc7a00; } /* Preprocessor */
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code span.sc { color: #4070a0; } /* SpecialChar */
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code span.ss { color: #bb6688; } /* SpecialString */
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code span.st { color: #4070a0; } /* String */
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code span.va { color: #19177c; } /* Variable */
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code span.vs { color: #4070a0; } /* VerbatimString */
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code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
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/* A workaround for https://github.com/jgm/pandoc/issues/4278 */
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a.sourceLine {
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pointer-events: auto;
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}
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</style>
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<script>
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// apply pandoc div.sourceCode style to pre.sourceCode instead
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(function() {
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var sheets = document.styleSheets;
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if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
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try { var rules = sheets[i].cssRules; } catch (e) { continue; }
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// check if there is a div.sourceCode rule
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var style = rule.style.cssText;
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// check if color or background-color is set
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if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
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// replace div.sourceCode by a pre.sourceCode rule
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sheets[i].deleteRule(j);
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sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
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}
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}
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})();
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</script>
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<body>
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<section class="page-header">
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<h1 class="title toc-ignore project-name"><div class="line-block">DataWhale 组队学习 R语言数据分析<br />
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Task 0 入门篇</div></h1>
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<h4 class="author project-author">Fin</h4>
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||
<h4 class="date project-date">2021-07-15</h4>
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</section>
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IIBA+AkQUsNvTOkRAgggkGoEBg0co+3P7N6jvUQP6+Pzfp89+70c/vyYHD58XDuI6MjhY3Lq1Ldu69m8ZbmULlPcVlu8Dan6jGNE7aqJe0nNFVkdnGQMgPr9xhlPq5nL5IRUq4Bs3v9q7LPa66oOhTLujVXtswrEtkC5CQEEEEAgLAQIqWExjHQCAQQQSH0C586dl9Klasrly7/LB/s2yFNPPekThC1b3pX4dVu0g5hOnz5jWaY6iTdDhvTaabnGf89f4Gm/zaSaZyRdddYcFD3NShpDrTHMJiekutrHaj44SV/uq/pgnp1VX/O0pNknA00hCCCAAAKOFSCkOnZoaBgCCARL4O+//5abN/8W9es///wj//nPf4LVlJCr93//+5/ccccdcuedd0qaNHdqv/rrmhAzU6KHxkjL15rI1DdHpqiakydOybp1WyU+fot8fuiLxLLuTXuv5H/mKXkmf1557rkCUrjws/JC4WdTVJfxYbszqSrUjRwxKcmSWLshVZ+VjIysY3nQkl6O+QRgQqrPhpmCEEAAAQS8FCCkegnG7QggEL4CKpRev35DC6dcvhFQIfXuu+/yeVi9evWathdVzQKqE33Vyb7JudQrV5YtWy3x67ZqP5BQ1zPP5JXqNSpJlSrlpeCz+eS++9Imp2hbz9gJqZ5eOWOuyGrJrSojNnad21OE1XOjR06RmInR2uywOaRazW6aA7BVf/R71GFL5j2p+nJf80nFLPe19fHhJgQQQCBsBQipYTu0dAwBBLwRUMFU/U84l38EVBjx5azqgvnL5Y1ug6RO3WqyeMk0rxutlvLOmb1EVq/eqD378MOZpUbNSlo4rVy5nNflJfcBq1CnL7+dMClaChXKr+3ZdPW6Gat6rUKqVVDcvWtfkn2t5mXBVsHWfI8+w6tO8FXvcTXXo9qn38PBScn9lPAcAgggkPoECKmpb8zpMQIIWAj8+edfopaqcvlHQC2Zvv/++3xSuBqriuXryxdfnJC4t+dK1aoVbJf73Xc/yLgx02ThwpXaM0888bh07tJKGjepLQ8++IDtcnx1o92QumB+7G1VunpNi1VIVQ/re1r1faf6qbp6wXqI1H+vB071Hlr9e8avqfumTB0phw4dSRKizffYeQWNp7b4yptyEEAAAQRCQ4CQGhrjRCsRQMCPAuqVImr5KJd/Be699x5JkyZNiiuJGT9DhkVPkGrVKsjKVXNtl/f2qg0yYvgk7XTee+65WwunXV5vLZkyZbBdBjcigAACCCCAgP8FCKn+N6YGBBBwuIAKqCqocvlXQAVUFVRTcn3zzVltFvXnn3/VAqoKqp6uixcva+F07pwl2q1161aXHr06aEtpuRBAAAEEEEDAeQKEVOeNCS1CAIEAC7DUNzDgvljy27fPcJk5Y6HtWVS1VHXwoHHaO05z584pPXt1lFdebRCYDlMLAggggAACCCRLgJCaLDYeQgCBcBL4448/w6k7ju5LunT3J7t9Bw58KpUq3AqYdmZRJ06YJUOHjNfu79CxhRZQ1QFJXAgggAACCCDgbAFCqrPHh9YhgEAABAipAUD+/ypSElJbvPq6rF27WTuBd8XK2S4bfebMdzJo4FhZu2azds/EycOkTZtmgeskNSGAAAIIIIBAigQIqSni42EEEAgHAUJq4EYxuSFVhVMVUtW1ectyKV2muGWjN2zYLoMHjpWvv/5GcjyaXSZNGiZVqpYPXAepCQEEEEAAAQRSLEBITTEhBSCAQKgLEFIDN4LJDalqma9a7tu23SsyYWK0ZYOnTpkrAweM0b5XsmQRbQY1f/6nAtc5akIAAQQQQAABnwgQUn3CSCEIIBDKAoTUwI1eckLq652jZNGiOO1VMQnvvq2929R4/f33P9Kr51CZP2+Z9uUmkXUkZsLQoLz3NHCS1IQAAggggED4ChBSw3ds6RkCCNgUIKTahPLBbd6GVPU+VPVeVHVNnjJCWrWOTNIKtaxXBdQdCe9pXx8xMkq6dmvjg5ZSBAIIIIAAAggES4CQGix56kUAAccIEFIDNxTehNR3tu+W+vVaaY1r36G5jI8ZkqShcSvjZfiwifLtt99JgQJPawG1QsXSgesMNSGAAAIIIICAXwQIqX5hpVAEEAglAUJq4EbLm5D6YLrcWsPKli0hGzffWsqrrosXL8nwYZNk3tyl2u8jm9aV4SP6SZYsmQLXEWpCAAEEEEAAAb8JEFL9RkvBCCAQKgKhElJVOOsfNUp69e4kuXPntM370YFP5e23N0r0sD5y7733JD63ZvUmbRaye4/2tstK6Y12QuoPP/woT+d9Uasqc+aM8vXpA4nVxq1cL1Mmz5HDh4/JAw+kkyFDe0m79q+mtFk8jwACCCCAAAIOEiCkOmgwaAoCCARHIFAhVe2fVPsrR43uL+nTP+R1Z1VI3bQxQRYuXCmz54x3GVSvXr0mQwaPk+LFX5B69WtIKIXUjz/6TCqUr6/ZPPJINjn25fvav3/44Sfy5tR5sj5+m/b7cuVKyZDoXlK4cCGvHXkAAQQQQAABBJwtQEh19vjQOgQQCICAv0OqCpedO/WTXTv3SrnypWT6jDFuQ6rxfm+6byzbGFQffTS7NpNasGA+6dN7mNsiX23e8LYZV2/a4OledzOp6+O3yivNOmtF1K1bXWImDpUtm3fI5k0JsnnzDu3rD2fNLF27tpHXu3I4kidrvo8AAggggECoChBSQ3XkaDcCCPhMwJ8hVc1iTpo0WwumO9/9QN5+e4PtkNq9e3spWux5W/001mOcpVWzt+3b9ZbChZ917HLfLVvelYULYkX9qq5q1SvKvffcI2vXbk7s+0MPPSgNG9WWrt1ay+OPP2rLhJsQQAABBBBAIDQFCKmhOW60GgEEfCjgz5BqbKbaA5qSkDpp4mz58cfzljOdViFVX+Zbo0Yl2bQpwTEhde8HH8nBg4fky+Nfa78ePfqlxpQ2bVq5cuVKkpGNqF1VqlWrIFWqltfek8qFAAIIIIAAAuEvQEgN/zGmhwgg4EHAaSHVqrlqRnTggDEyYmQ/W4cmqUCs9nGqw5IOf/6Ftty3X9TrMmb0m7Jk8SpLkWfyP+V2r2tKP0iNG7WT9/bs91hMkSKFJLJpPaleo5I88khWj/dzAwIIIIAAAgiElwAhNbzGk94ggIAHAbVX8/z5n+Wnn36Rn376Wc7/9LM0alw7IG52Z1KtGqNmUdVl5yReNYP6/vsHEu/VZ1RVSJ3+5gKJbFbPVtD1NUrzV7tIwjt7LItVp/iWKVtCXnm1gVSqVNbXVVMeAggggAACCISQACE1hAaLpiKAgH2BX365IB98cED2vn9APvnksPz4owqm50WFVPP1w4+f2y84BXfaDakqkI4fNz1ZNfXu09ltkDXOsBpfR5OsypLxkDo46eSJU3Ly5Ck58f+/Hj3ypXzyya0xuOeee6RRowhp2KiWlCt/6zU0XAgggAACCCCQugQIqalrvOktAmEr8N1352Tfvo/lw/0H5cP9n8ihQ0ct+6pCUtZsWSRb1iySOXMmyZgpg0QP6x0QF7sh1dgY/aRfq0OUXH1P1dOlc1Sy+hSs0303btgub6/aIGvW/HtYUsvXmsjUN0cmqx88hAACCCCAAAKhK0BIDd2xo+UIpHqBv/66IsuWvi0rV8TLgQOf3ubxQuFnpXz5F6VixTKSNWsWyZQ5gzz00H9vu8+pe1L118iotlst8/VmVlQv68yZ7zWTdu1fTXRQYbd/1Cjp1buT35cBu3sFjWrQ4cPHtLA67c0FcuPGDSlUKL8sXjpNcuV6LNV/3gFAAAEEEEAgtQgQUlPLSNNPBMJIQO0lVeF06ZLV8tVXpxN7lr/AU1KieGEp+WJRLZhmzJjeVq+dGlLPnftJ9u87qL1j1XyokdpnGhU1ytZBR+re2hEtRF8KrMKtutTBREMGj5ODBz+XKVOGS/ZHsrp9f6stTA83eQqp+uNq72qXLlHyw/c/al9atnym1Iqo7IsmUAYCCCCAAAIIOFyAkOrwAaJ5CCDwr4AKpCqYqoCqgqq68uR9QiIj60rNWpXl6aefTBaXU0OqsTP6TKjxZN749YvcvkfVuOzXvIxX/9606aOlXv0ayXJLzkN2Q6oqW83wRtRqLoc+u7V0O6p/V4nq3y051fIMAggggAACCISQACE1hAaLpiKQWgXUEtCFb63Uwqla4quuUqWKSmTTutIksq7cc8/dKaIJhZCqOmg+UMnV/lH9vnLlS8n0GWNk57sfJL6O5vvvzyW+ykaV2b5db1HvUbVzanCKkP//YW9Cql5fm9Y9JG5lvPbbNeve4vRfXwwEZSCAAAIIIOBgAUKqgweHpiGAgMjcOUtlxPBJ2qyauiJqV9VmTmvUrOQznkCF1OQ0WD8cadfOvWIOpfoyXj2Mpk//kGUV7mZU1QN6OerfPZ0OnJw+GJ9JTkhVz48eNUVGj5qqFbX9nTgpUbJwSpvC8wgggAACCCDgUAFCqkMHhmYhkNoFTp8+o4XTVXHrNYqmzerLa62aSPHiL/icxmkh1RhMPQVQhfH1199oM6KjR/e3XP6rZlYffzxHQJf1uhqk5IZUY1BVB0mtWfuWFCj4tM8/CxSIAAIIIIAAAsEXIKQGfwxoAQIImARWxK6V4cMnydkz30v27Fml/8A3pHnzhn5zclpI9VtHHVBwSkKqav4b3QbJgvnLpUSJwhK/YZGkTZvWAb2iCQgggAACCCDgSwFCqi81KQsBBFIk8MsvF2TE8ImyYH6sVk6DhrVkwIA3JPeTOVNUrqeHCamehHz3/ZSGVNWSmtWbyZ49+6Vd++YSM2GI7xpHSQgggAACCCDgCAFCqiOGgUYggMDGDe9oAfWLL05IxkwZtHDapm2zgMAQUgPCrFXii5C6b9/HWlC9ceOmdjCU2qvLhQACCCCAAALhI0BIDZ+xpCcIhKzA2rWbpcWrr2vtrxVRRQYMfEOeeSZvwPpDSA0YtU9CqmrtxAmzZOiQ8dq7cNetXySFCuUPXCeoCQEEEEAAAQT8KkBI9SsvhSOAgCcBY0AdPKSn9OrdydMjPv8+IdXnpC4L9MVMql54wwZtZNvWnVK+QmlR74zlQgABBBBAAIHwECCkhsc40gsEQlLAGFCnTB2pnd4bjIuQGjh1X4bUQ58dlRrVm8lvv/0ugwb30F6fw4UAAggggAACoS9ASA39MaQHCISkgDGgLls+Q1vmG6yLkBo4eV+GVNXqGdPfkn59R8g999wjW7fFSuEihQLXGWpCAAEEEEAAAb8IEFL9wkqhCCDgTmDpkrelU8e+2i1bt62QUi8WDSrYn3/+Jf/73/+C2obUUPl//vMfuf/++3ze1aZNOsjGje9IteoVZWXcHJ+XT4EIIIAAAgggEFgBQmpgvakNgVQvMGXyHBk0cKzm8NHB7fLUU7mDbnL16lW5efPvoLcj3BuQJs2dcu+99/q8m4c/PybVqzWVy5d/k/ExQ6R9h+Y+r4MCEUAAgUALxK2M16ps1Li2y6ovXLgkrVt1lx0Je7R75s2f6PZ+vSA7ZZ88eUoWL4qT/gPekLRpb/3drerr1WOIRA3oJnnyPCFW9+zff1AqV2qU2OYBA7tL335dEp9X7VW/V++7trrGjpkmuXI9mqQfV65clah+I6RJZF2XzxnLUu0aPXKKxEyMlgwZHrKsx3iPumFYdIwMHtIr8X5zX92Nvz4O7vplZaWX6W3/Av1ZDEZ9hNRgqFMnAqlUYNqb86V/1Cit96e/+Uh71YwTLvUqk2vXrjmhKWHdBrUk96670vilj/qy3yxZMsmWbSskT55cfqmHQhFAAAF/CxiDp6fQufCtFRJRu6oWrFQIatm8q0yYFO0yyHlTtuqnCrOnT59NEjLthNQVsWtl9JiBsmH9No1LD9oqgKrXiKlrfMxgLegaL1fB0F3AczUequ2xsetk/oJJHoNq/4FviPp/lJdfLieRTdq7HGJj4DbfpNrYu9cwy36pe1XfJk2cJUeOfHlbmwipt5MTUv39Nw3lI4CAJrB69Y1Z6LMAACAASURBVEZ5rUU37d9/++Nrx6mwL9X/Q+Lr/ajmFuvLfptE1pE5cyf4v0PUgAACCPhYQJ/dGz4ySsaPmyalShW1NTOqmqEHHVfPJKdsvczatatKfPxWWTA/1mWPK1Yqq4WvEye+FhVS1aykCmXNWzTSwqgKqOfO/aiF10OHjmq/NwZI8wysqqhV60jt/qlT5snIEZOS1K3X9+uvF7RwfvjwMVujoT+nz7Dq4T7Lw5mTtMdVYFbtNrfFU8XGHzboM8XqmTate3j0dDUT7KnOUP8+ITXUR5D2IxACAvv2fixVKjfWWrp+4xIpV66U41p98+ZNuXqV2VR/Dcy9994jadL4ZxZVb7Nx2e+cuTHasjAuBBBAIBQFPAVOqz7ZfcbufVZ12F3uq0KqCrYHDnymzcIaA6q+dFgPpdsT4rSZX/X73bv2Jc7a6rOnFdRrxuK3amHVuOxYX56rQqp5WbKrMTcvA1azrXv3fiS9+3TRfijg7XJf5WFeJuyqbmXwUrmSlrPczKTerkZIDcW/uWgzAiEk8M03Z6Vo4SractoePTvI0Ojejm09y379MzT+XOZrbvH0aQskqt9IefLJXLJlW6w8/HBm/3SKUhFAAAELgd9//0MuXrwkFy5c1n69eOHS///+kjxbKL9UqVLOlltygqQKeebZyeSGWb1+NXOqz2aqgOhNSH3ggXRSo+bLWvBUl74v1dgmfflxZGQdeezxHLeF1FEjJsuJE6duW8JsDIdWIVU5WNVpDKkJ7+zW7lFLkfXyurzeWluyq+/xNba1YMF8snDx1CRLlO3sfVVlKM93d7yvLSW2WsJNSCWk2vqLgZsQQMA3AtevX5cSxarLV1+dlipVy8uqt+f5pmA/l3Ljxg3tIKW//+YwpeRS33nnnaIOSrrrrruSW0Syn2vUsK1s3fKutG33qkyYODTZ5fAgAggg4Erg2rXr2vLSI4ePab+qlRzqV3VavKurTJnismnLcluodkOqvlRV1W0Mk+4qsVu2KsO8F9SbkKovEdZnQM0HIplnFl3NpKqDm8x7W92FQ3121Djzagvd4mAoT88Z/a3uNe9hVX3U9+vqs8J6iPXmYChP7QqH7zOTGg6jSB8QcKhARK3msmvnB5I//1Oy78PNDm2l+2bxahrvh029aiaY1ycHP5dq1ZrKlb+uSOyKWdpP8rkQQACBlAqofZRbt+wUNQN35Mhxy0CqgkeGDOm1g3pu/fPvvxcrUdivM6l6YOr2Rlu3+1iTE1IbNoqQju37eNz3qWYJ1YyovidVLYXVT+S1E1KNpwKr8TIGb+PsqB6eO3ZsKZ07R1nOfLob7779Xpeff/7F7R7blIRO9azVKcV6mVb7b+3Ul9LPcCg9T0gNpdGirQiEkEDnjv1kyZJV8uCDD8jmrcvl2WefCaHW09RQF5g0cbYMGTxOnn++oLbs97770oZ6l2g/AggEQUAdAqSC6bat78p7732YpAXqNPECBZ+WAgXySdGiz2n/ZH8kq09a6U2QNFZoZ8mvN2WnZCbVfLqvnZBqtSfV+AocffY1Y8b0t+1Ddbdk1nxKsatB0oOw8RU47k5NdrWs2FVIdTUDbLd9PvlwhUghhNQQGSiaiUAoCYweNUVGj5qqNVmd3Kd+AsuFQKAF6tRuoe0B6tGzowyN7hXo6qkPAQRCWOD99z6UadMWyOZNCUl6Ub7Ci1K1agUpU7aEFCjwtN966E2QNIdUq+Wkxnu8KdscUs2hzNV7Us2voKkVUeW295x6s9zXuDRW9cVcr3EPrXnPp53gbg6iKjTqJ++6Wkbt7pUzrgKzVRg1LgFWz9k9iMlvHz6HFExIdchA0AwEwkVA/WVbrUqktp9THZKkDkviQiAYAupdfNWrNtU+ixs3LZWyL5UMRjOoEwEEQkjg1KlvRR3ANnfO0sRWq5Nnq1aroJ2toLavBOJyFSSN7/5UBwZt37ZLOndppTXJeAiRfhhQ61bdRR1KpL+nVN3nTUg17u9Ur4HRXyGjh0ZXIVVftqsfNqTqHT1yisRMjE58Z2lKQqqrvZ2qHmPAVL93t1fX+N5Y833uZlB1w2zZsloeCGUVUq1eaWM1s+qub4H47DmlDkKqU0aCdiAQJgL167aSd97ZLeqnpsuWzwiTXtGNUBUYO+ZNGTlispQoWUTWb1gs6lU4XAgggICVgJo5nRgzU3755YL27VdeaSCt2jSVIkUKBRzMTkhVe17Ngcw4i2gOrXon7IZUPaAWKlRADh06kuQVMO5AzCHLVX1WIdXdnlRjne6Wx+om6n2o06aP1l4to04pNtrobfr22++1FV/6CcFPPJFTunUdcNteWP29qKoMfVZYC96G1+IY22c1y2p2MQdU42ywKst86FLAP4RBrpCQGuQBoHoEwklg2pvzpX/UKMmYKYNs2rxMnnkmbzh1j76EqEDtWs1l584PpGOnljJ23KAQ7QXNRgABfwkcOPCpjBszTbZv36VVUSuisrRv3zxVr75QgUnNnLZt94o282kOw67Gwnhwkh7gXAVKb2ZSVXvUrLD+ahjj62DMhxBZveJFtVfvg9X39TJcPWsO+OYZVOOMrH6vuSzjnlxzIFXPGPukvj9q5GRp3qJRklfe+OvPgBPLJaQ6cVRoEwIhKHD06JfaMt9Lly7LxEnDpE3bZiHYC5ocjgKffXpE1EnT6rM5e26MREbWDcdu0icEEEiGwLix07RTWNWrx7Jlf1gGDuwurzZvmIySeAQBBHwpQEj1pSZlIZCKBVo27ypr1mySBg1ryYK3JqdiCbruRIG3FqzQlnBlzZpFW/b7dL48TmwmbUIAgQAJfPnl1xLVd4QkJOzRaqxXr4YMGNRd8uTJFaAWUA0CCLgTIKTy+UAAgRQLLFq4Ul7v0l+yZ8+qLfPN/WTOFJdJAQj4WkCFVBVWq1WrICtXzfV18ZSHAAIhIrBh/Tbp13eknD37vaRLd78MHtJTOnRsESKtp5kIpA4BQmrqGGd6iYDfBH74/kd5+eVGcvbM9zJtxhhpzjIpv1lTcMoE1HJftexXLf+N6t9Vovp3S1mBPI0AAiEnEDN+hgyLnqC1u2zZEjJ0WJ+gHIwUcnA0GIEACxBSAwxOdQiEm8DAAaO1wxWaNqsvs2aPC7fu0Z8wE1AHKKmDlNQ1fEQ/6fZG2zDrId1BAAErgfPnf5EB/UfLyhXrtG+rP/vRw/rIHXfcARgCCDhQgJDqwEGhSQiEisCnnx6RiuXrywMPppN3EuIkb97codJ02pmKBVbErpN2bXtqAhzylYo/CHQ91Qi8u+N9UT9QPXLkuOTM+agWTuvWq55q+k9HEQhFAUJqKI4abUbAIQLt2vSUFSvWydDo3tKjZweHtIpmIOBZYP685dL9jVuvo5kzb4I0aVLH80PcgQACISegVvqogKquGjUqyajR/SXXE4+HXD9oMAKpTYCQmtpGnP4i4COBbVt3SsMGbaRI0ee0WdQ777zTRyVTDAKBEXhz6nwZ0H+UVtmEidHa+wC5EEAgPATO/fCTDBkyTtTKCXX16t1JOyCJCwEEQkOAkBoa40QrEXCcQO2IFrLz3fdlybLpUrt2Vce1jwYhYEdAvR9x5IhJ2q3q3YhqGWCmTBnsPMo9CCDgUIGNG7bL0KExcuLLr+XhhzNrs6cNG0U4tLU0CwEErAQIqXwuEEDAa4Eli1dJ5079pHGTOjJ33q1TErkQCFWBuJXxMmjgWDl37icpUDCfRA/rLS+//FKodod2I5CqBaKHxsiEmJmaQUTtqtIv6nUpUODpVG1C5xEIRQFCaiiOGm1GIIgCf/11RTss6dtvv5PtCXH8xz+IY0HVvhM4fuykDBo0VtQydnUNGtxDevfp7LsKUlFJJ0+ekt69hsn4mMGSJ88TqajndDWYAuqHTbNmLpKPPz6kvbO7T9/O0qp102A2iboRQCAFAoTUFODxKAKpUUD9hFr9pLr/gDe0n1BzIRBOAsOHTZTx46ZrXapStbzUb1BTGjSoKWnSpPFLNy9cuCTDomNk8JBekiHDQy7rUP8D3qZ1D+37FSuVlfkLJrm8X4XEls27yuHDxxLLs/PM9m27pHOXVqLa1LpVd9mRsMdlewoWzCcLF091GULVMmp19e3Xxa2bXpd+b8/uQ5K0W394wMDuScpSHupq1Li22/a2ah0po8cMlLRp701sh2pbrlyPas8m99LbrfpXqFB+ieo3QhbMj01SnPohXokShV1WYVxqrt80b/7EFLVLL0f57N370W19T25/vXlO//xNmBTttv/elOnqXvVD082bEiQ2dq28s323dtsrrzbQfsCUK9djvqiCMhBAIEgChNQgwVMtAqEo8NNPP0vZ0rUlS5ZM2iyq8X/8QrE/tBkBK4H4+K0yeOBYOX36jPbtvHmf0MJq/Qa1tH/31aUHTzsB8sSXp6RGzUpa1SrcnDv3o8sAYjWTqZ7Zv/+g23BrVa56ZveufZZh88qVq5bhzJOPCmKnT59N3AushznV7sWL4rQfgBn/blFO6n498Kp6R42cLM1bNNJCsqugb1Wer2Z5jUFXdyhVqmhiwFRulSs10v6edBVUzUFeD3fq/Z0pCdDKP5ghVdWv+q/65+6HKZ4+J+6+n5CwR7Zs2iFr126WX365oN36zDN5tXCq/qxyIYBA6AsQUkN/DOkBAgETUDNMaqZp0pTh0pplVAFzp6LAC/z886+yKm6DvL1qvbZ8UF1qNlXNqqr/Cc6Z61F55JFski7d/clqnB5yHns8h9f/M+8pAFgFMTvhTA9bTSLrasFUP1DK3EFPodouiLE+FeQ8hdSu3dpYhuLRYwZIQsJ7ljO/xplUu6HaU/9UO0ePnCIxE6O12WyrkGr1NbOL1Wyzr8Klr8qxO5bm++z0327Zf/35l5w7d17bM65C6do1/wZTVUaFCqW1VQ/qc5s+/X/tFst9CCDgcAFCqsMHiOYh4BQBNVtRtnSEPPDgA/Le+/F+W/7olP7SDgR0gU0bE7Swunr1pttQ1MmhWbNlkWzZHpYcObJJ4cKFpHadqrbDq6fAaTUKnp5Jbki1ChrGGUv1fXNAU18zLkV296nRlwhnzJjhtuXE6ntqBlXVZ1ymrJdnXO5rXOrrzadUPRcbu87jUmljALUq32pmVy33Nc6k2glpdkKq0dZqibV5abc+c2sOqXo5+nJi85Ju83Jqc6BX39cvfUbbXIZ5qbK3QblXz2j54osv5eaNm3LlyhX57bff5ddfL8pvv/1x2zDkz/+UdnCfCqf58uXx5mPAvQggECIChNQQGSiaiUCwBSZNnC1DBo+TceMHS4eOLYLdHOpHIOACRw4fl1Wr1suePfvlx3M/abM7//zzz23t2LxluZQuU9xW+zwFTqvgaA5E5ntcLfdV91ntETWGDWNYsVpGaxVSbXXU4qbk7F3U26RmzTZtfEcLtlOnzHM566uqVX16qVxJbfmt1WUMf57Gw+6sqadyVDusQqrxa8rHuMzbHLKt/NQPVCpULC0b1m9L3JN66NDR25YeL3xrhXbyrZoJ1sc/MrKOtsxY76Nqo76fVw+5+ufDXLdxj66+vNnbz8qjjzwvly//ZjlGd955h9xzzz2SN29u6dWnk0REVEnux47nEEAgRAQIqSEyUDQTgWAK/P77H1KmdISkuTONvPfBevaiBnMwqNsxAtevX5cffzwvP6qliP//q1r+64+ZVOMhO54O5LE6OMnTMwpV339ar3712w5eskLXA4u3M6n6ib/6c3pIXLN6s9uwqfqgLrUUWbVR37+qQlWvHkMkakC3JAc56TOeapmwmqGtUfNlmTNrcZL7VLgyPuspXJqXKKv2WC0jNs9MWvmZQ6qqWx0c5epAKvMPH9wdTqXPYqrTbTu27yOe9rmaw7H5dGa9j9myZdV+0OFqFti4d9hs6+kPrnEm9S99JvWXi6L++2O+yld4UZo1ayC1Iirz3yNPsHwfgRAVIKSG6MDRbAQCKTDtzfnSP2qUjBwVJa93bRPIqqkLgbAW8BSKXIUbd4cgWYUZdwct6XW4OyTJ14OgH350+PBxKVmyyG0HQblqi9WJuLErZsu8ecss96SaZ4bNYdYqpK6IXevyUCqrGUPz7KqnsKlbmvtitZxXP4BJf8a8ZFoFRquDmVRIXb58rfx8/hfLgOouWLtapqsHU1d7g1UbjXuAvQ2prj5jxj2py5evkeXL1iSuYMiUKYO27FeFVbXcmgsBBMJHgJAaPmNJTxDwi8DVq1elzIu1Rc0avff+ennwvw/4pR4KRSA1CiQnpHra72gOqeblnK6cjcHQ02tojDOzVjO3VnUYA4yqSy3XVbNkaunumW+/E3WIlB64PAVm4yFLnmZSXe2hNAc/NcOr6nUXUt3NpBr3pHo6gVnV7ek1PVbLe/UZTn1fr7uQOmXyXMmcJZPkzJkjSei2+jwY22I3pBr7azXevgqp5rLVa2fU4UlxcfGy890PEr+tlgCrrSh2l9qnxr9v6DMCoSRASA2l0aKtCARBYPasxdK7V7QMje4tPXp2CEILqBKB8BVISUhV4c5qFs1qT6qdQ4PMIdVqCa0ertQeT+PeQ6tXxxhHzRgq1dfV8tuGjSJkwfzlWkhVZZlnDY3Pm993alxi7O50X08zqeZPlh7W1HtUjUtX9fvs7km1s9/WXUi1qsc4rjlyZNdOOnYVFPWg2btPF+nSOUrz1cO61WfO2Bar7+vBVi/HTgj3dk9qcv6Uf3Lwc+3E39jla+X8+V+0Ilq0bCz9+3eTbNkfTk6RPIMAAg4RIKQ6ZCBoBgJOFLh582/tRN9Lly7LnvfXi1paxYUAAr4TsAoE5oAzfdoCqVylXOJ+S0+B0yqkmkOGVQ/0kKoC6MGPD2n/mPd5+iKkqgC2Pn6rtkxTBS2rsG01k2qc3VV7LNWlDk7yZibVKngbl90a98eqoGr1vlI7p/vqTu6WZdsJqfoeUD20fnTgs8Q9q+Z3sap7VsSukyaRdZIcnPTddz9oe4zVQUkqqJqXI+vl6IHe6rOiG5kPTjLudVUu5tlwd7PSvvtTJHLmzHcya+ZimTVzkdy8eVPyPpVbhg7tJTVrVfZlNZSFAAIBFCCkBhCbqhAINQE1y/FGt0Ha/wj2i3o91JpPexFwvICdkGpeemvnPZ7mg28UhD776OoQJT2sqFlLfQZuR8IeS8OULvdVhVotndUrs7vct0PHltpMoat2qvL0WVj17+ZX6lh1zmrfqfE+O+9JVffrP2zQw6G5Lk/LfY3LqPVX9Mydu1TGxwxO/IGFcfbZuKfVvGTXOLbqxF7jich2Xy+jZpaNwd088218BY2nJen++oP52WdHZcTwibJ92y6tip69OsqQob38VR3lIoCAHwUIqX7EpWgEQl3gpbJ15JvTZ2Xv/o3yyCPZQr07tB8BBNwIqNCkhxB3+wnVfSlZ7ps27b1aK4whNWPG9B5PFDYu3TUuH9bLM3fNPONpDOqePgieTuc1WnkqKxy+7+4HClb9S84ydl86jR41RUaPmqoVWbFiGRk1ur/keyavL6ugLAQQ8LMAIdXPwBSPQKgK6LMunTq/JmPGDgzVbtBuBBBAwOcCnmZbfV5hAAu0ej+uCuXuli4bm2dnP24guqNmU9W7vY8e/VKyZ8+qBdV69WsEomrqQAABHwgQUn2ASBEIhKNAnYgW8u6772vvRS1UKH84dpE+IYAAAghYCJhPbDYfXBUqaN9/f07U+1fVSdLq6tO3iwwc1D1Umk87EUjVAoTUVD38dB4Ba4Ht23dJg3qttUND1D4jLgQQQAABBEJVoH+/kTJt2gKt+WqP8KRJ0drrebgQQMC5AoRU544NLUMgaAItW3SVNas3ydr4hdp+Hi4EEEAAAQRCWWDO7CXSq+dQrQsvvPCsTJwcrf3KhQACzhQgpDpzXGgVAkET+OjAp1KxQgMpX6G0xK9fFLR2UDECCCCAAAK+FEhI2CNRfUfIl19+rc2kqhlVNbPKhQACzhMgpDpvTGgRAkEVUK+cUa+emT1nvEQ2rRfUtlA5AggggAACvhQ4e/Z76dd3pPYuWXWpV/J07vKaL6ugLAQQ8IEAIdUHiBSBQLgIqMMyXixZU5544nHZu3+T3HHHHeHSNfqBAAIIIIBAosCw6AkSM36G9vtXmzeUgQO7S7bsDyOEAAIOESCkOmQgaAYCThCIHhojE2JmSvSwPtK9R3snNIk2IIAAAggg4BeBlSvWyZAh4+WH73+UPHlyyYBB3aVePV5T4xdsCkXASwFCqpdg3I5AuAr8/POvUrpUTbl27bo2i6reK8eFAAIIIIBAOAuoFURqVjV+3Vatmx06ttBeVZMpU4Zw7jZ9Q8DxAoRUxw8RDUQgMAJTJs+VQQPHSMdOLWXsuEGBqZRaEEAAAQQQcIDA1ClzJXroBLlx44a25aVzl1bStt0rDmgZTUAgdQoQUlPnuNNrBJII3Lx5U9uLeuzYSdm1e628UJhj+fmIIIAAAgikLoG9ez+S8eOmy46E97SOlylTXAur1WtUCgpE3Mp4rV71znJX14ULl6R1q+6yI2GPdot6t7mr+69cuSpR/UbIgvmx2r0FC+aThYunSp48T1gWb75fv2l7QpyUKFE4yTOqHb16DJGoAd1clmdVibs+6vU3iaxrWZ/qt7r69usiPbsPkcOHj91WxYCB3bXv65exPrOd8eFWrSO1Q7XSpr038ctjx0yTXLkedTse5gZYPeOuX6p9bVr3sP15M4+hWhnQu9cwGR8z2OU4qDrUxIS7sbfdAD/eSEj1Iy5FIxAqAkuXvC2dOvbV/kO8YuXsUGk27UQAAQQQQMDnAosXxcm0aQvk+LGTWtnPPJNX++9jjRqVpHCRQj6vz1ygMTy5C53quYVvrdBeo5Mhw0OiAkrL5l1lwqTo20KdutccCD2FFT1MlSpVNDGY7d9/UCpXaiTmoKraPCw6RgYP6aW1xe7lbUhVoW/kiEla8XobVL/VmPUf8EaSUKnKPn36bGJIVf0ZNXKyNG/RSAtwrtpsVZ6d8Gc1jlbB3VV73Zl5+oGFq3Crwnbt2lWldkSLxOI9fabsjp2/7yOk+luY8hEIAYE6tVvKuzvek/lvTZaGDWuFQItpIgIIIIAAAv4T+P23P2TatPnaXtUvvjiRWJGaXVWB9aVypaRAgad93gAVYEaPnCLDR0bJ+HHTxBgQPVVmFSrdPePpfqvvu3pGD8hWs5nmNqiQpC5vZgyNodQ8E+kppHbt1ibJDLLentFjBkhCwnuJs9DGdhpnUl3NKJv7VbFSWZm/YJIW0vUwb1Xm1CnzEoO2/n1Pz1qNo3EW1RzAjUbq2RWxa2+bGfb0eQr29wmpwR4B6kcgyAIfvH9AqlWNlKefflL2H9jCa2eCPB5UjwACCCDgLIEN67dLfPwWLbCqwwX1K0uWTFKg4NNSoEA+KVr0Oe2f7I/45tBBTwHSSsjbZzzd701IVaFs9659SZbW2hlFb2ZSrZbnqqCmZlDVDKmn5b6eZiNdtVc9Fxu7LjGAWt2n/3AhZmJ0Ykg1euhBukKF0hIfvzVJYDTP6FpZmpcNWy2vNn5tzerNiUuTVXmEVDufRu5BAAFHCXR/Y7DMn7dMBgx8Q/r2e91RbaMxCCCAAAIIOEXg9OkzWlDdtPEdOXLkuPz551+3NU3tYcyQIb0WVG798++/FytRWKpUKWerO54CpFUhKoyoMKPP5nmqSN2v9nK62pvoarmvVR0pCYCeZlTNS4s9LWu26rceBNX+VjV+KthazWgan1X7WV8qV1Jb3mx1GWcyzfbmoKnaPGrEZDlx4tRty7GtQqqrOo3t0OvPmDFDkn3J5nvatH1FunUdcFsXzPt1PX1eAv19ZlIDLU59CDhIQL0brnjxavLXn1fkwwNb5Mk8uRzUOpqCAAIIIICAMwXUjKqauTty+Jj26+HPb/1qFVz1Hqilwpu2LLfVIbsh1bjM1uqwH1eV6c+p/azGg4WM91stc3UVbIx7Rd110Lwf0puZVL1cff+lHtLUrKG+T9WqbhVy1aVmNuvVr564f1X1z2rPqL6XVS0TVjO0NWq+LHNmLU5yKJR5JtNOSNX3zW5Yv01rj37AladZWHWv8lWBWT+wytVBVVaHMhlnUg8dOhoys6qEVFt/VXATAuEpoI7cHzhgjKifLM6ZGxOenaRXCCCAAAIIBEjg99//kIsXL8mFC5e1Xy9euPT/v78kzxbK79eZVD14dnujrdsTaPWQ52kmzRyUPc28eiI2By11v53TbI0zqfrey8OHj0vJkkXk3LkfkyyddbXs2CpEx66YLfPmLbPck2q08bS0Vh3CZF5S625PqpptV+1Rl/oBgXlPravlvu5CqqsfEugHJx048JlWVygt/SWkevoTxfcRCGOBsmVqy2efHpFVq+dJlSrlw7indA0BBBBAAIHQEbA7k2rukaclv3qYsXqNjLksqzao583B0I6qq9eueDuTqvqnluuqHwaoH7Cf+fY7eezxHIkzjJ72xhoDoaeZVH2G2dWraszLfY37Pq2W+5pPINZDe8aM6ZOcTmwVcK2MrV4h5GomVd8fS0i182nlHgQQCKqAWm7SrGkn7S92fSlMUBtE5QgggAACCCCgCaQkpLo6JMfTK2fshFTjftC8eXO73AtpLEuFqZmzx8mC+cu1YFmoUH7L03Y9Db06N+Pq1avSsFFEYlnq/2HchTrzEmjjzK270309zaSa26rPjKr3qKrX3qhZT6uDk8yvyVHlmGdSza+7MZ/cq54xz+7q4zJiZD/tYKZs2W4d4KWCtvEHAYRUT58yvo8AAkEXaNH8dVm7ZrNMmDhU2rZ7NejtoQEIIIAAAgggcEvAVUg1njT7668XZPu2XdK5SyvtGX3GLzKyjrbc1/j7WhFVtGDoi1faqECmwo7dA5qsQpV5nFVb1TJY9Y9+v/H3+tfWx2+Vxk3qaH1RgVffo6mXZzWTapwJVUuh1aXCojczqVZ7V41LcoIQBQAAIABJREFUbI37Y1VQVbO7dkOqVXDU2/z4449IoUIF5Pz5X1zuHdbvVYFU/wGAslGXmnVWl/5uWEIqf8MggICjBdThDi+WrCnZsz8s+z7cIunT/9fR7aVxCCCAAAIIpCYBOyFVnR5s3tNpPJjIKqQumB97G6OrA5c8vRPV3aFL5krMhwPp3zcGPeMS5LcWrJB5c5dqh1GZ9866WjqsyrS73LdDx5bSpXOU5X5UvW26i/q9OkBJD3quPofGsKjuMZ/Q68pZP6jJfICV+d2znvYQqzrNNuayCamp6W8R+opACAoMHTJeJk6YJV27tRW1NIQLAQQQQAABBBDwhYCrPZx6CDWeGmxnb6y+nFcP4MYgpvZztmze1fIdqXpfjOHOvLTWqr9WodHOAU+qLL0ud3tSVftbt+qeGJD1WdgcObInWQbtbqmysd26ix74K1Yqq81yq5loc7gmpPriE04ZCCDgF4E//vhTShSrJmfOfC/vfbBeWxrChQACCCCAAAIIIICAUwQ43dcpI0E7EAiQwMKFK6Vrl/5Sp241Wbzk1hHoXAgggAACCCCAAAIIOEWAkOqUkaAdCARIoFaNV2T37n2ybPlMqRVROUC1Ug0CCCCAAAIIIIAAAvYECKn2nLgLgbAQ2LVrr0TUfFVeeOFZ2bVnbVj0iU4ggAACCCCAAAIIhJcAITW8xpPeIOBWoEunfrJ48SoZPqKf6MewQ4YAAggggAACCCCAgJMECKlOGg3agoAfBU6d+lZKFq8u//nPf+TAx1vlscdy+LE2ikYAAQQQQAABBBBAIHkChNTkufEUAiEnMHbsNBk5fJI0e6W+zJw1LuTaT4MRQAABBBBAAAEEUocAITV1jDO9TOUCN2/+LSWLV5Mvv/xaVq2eL1WqlEvlInQfAQQQQAABBBBAwKkChFSnjgztQsCHArGxa6V9217yQuFnZdduDkzyIS1FIYAAAggggAACCPhYgJDqY1CKQ8CJAvXrtpJ33tnNgUlOHBzahAACCCCAAAIIIJBEgJDKBwKBMBf44IMDUq1KpNx3X1oOTArzsaZ7CCCAAAIIIIBAOAgQUsNhFOkDAm4EuncbJPPnL+fAJD4lCCCAAAIIIIAAAiEhQEgNiWGikQgkT+Ds2R+018789tvvHJiUPEKeQgABBBBAAAEEEAiwACE1wOBUh0AgBSbEzJTooTEcmBRIdOpCAAEEEEAAAQQQSJEAITVFfDyMgHMFbt68KSVL1JAvj38lo8cMlM5dXnNuY2kZAggggAACCCCAAAL/L0BI5aOAQJgKLF3ytnTq2FcyZ8kk+/dv0n7lQgABBBBAAAEEEEDA6QKEVKePEO1DIJkCtWq8Irt379NmUNVMKhcCCCCAAAIIIIAAAqEgQEgNhVGijQh4KaDeiarejaquXXvWygsvPOtlCdyOAAIIIIAAAggggEBwBAipwXGnVgT8KtCmdQ+JWxkvEbWrytJl0/1aF4UjgAACCCCAAAIIIOBLAUKqLzUpCwEHCBz+/Ji8WKqm1hIVUFVQ5UIAAQQQQAABBBBAIFQECKmhMlK0EwGbAgP6j5Y3p87Tlviqpb5cCCCAAAIIIIAAAgiEkgAhNZRGi7Yi4EHg/PlfpFSJGqJ+5bUzfFwQQAABBBBAAAEEQlGAkBqKo0abEXAhMGXyXBk0cIxkzZpZPti7kdfO8ElBAAEEEEAAAQQQCDkBQmrIDRkNRsBa4J9//pEXS9aUo0e/lD59O8vAQT2gQgABBBBAAAEEEEAg5AQIqSE3ZDQYAWuB5cvWSIf2vSV9+v/Kex+sl8ceywEVAggggAACCCCAAAIhJ0BIDbkho8EIWAvUqvmq7N61V7q90VaGj+gHEwIIIIAAAggggAACISngmJC6csU6Wb9+u3zw/ody4cKlkMSk0Qh4EsiQ4SF5sXRxiYioIo2b1PZ0u+3vb9++SxrUay333ZdWm0XNk+cJ289yIwIIIIAAAggggAACThIIekjdsGG7tG/bS/74408nudAWBPwukC7d/TJ7bozUqlU5xXW1atlN3n57o3To2ELGjR+c4vIoAAEEEEAAAQQQQACBYAkENaSqgNossmOw+k69CDhCYFnszBQF1U8/OSwvla0jd955pzaLWqDA047oF41AAAEEEEAAAQQQQCA5AkENqdmzPssManJGjWfCSkDNqP7w4+fJ7lOXzlGyeFGcvNYqUqZMHZHscngQAQQQQAABBBBAAAEnCAQtpK5cES9t2/CKDCd8CGhD8AXmzpsgjZvU8boh+/cdlMovN5I0adLIrj1r5dlnn/G6DB5AAAEEEEAAAQQQQMBJAkELqc2adpIN67c5yYK2IBA0gVoRVWTZ8hle19+mVXeJi1vPXlSv5XgAAQQQQAABBBBAwKkCQQupOR8rzCm+Tv1U0K6AC6hTf785c9Crenfu/EBq12ouDzxwv+zcvU7y5uVEX68AuRkBBBBAAAEEEEDAkQJBC6kPpsvtSBAahUCwBH7742uvqm7WtKNsWL9duvdoL9HD+nj1LDcjgAACCCCAAAIIIOBUAUKqU0eGdqU6AW9C6ubNO6RJo3aSOXNGbS/qo48+kuq86DACCCCAAAIIIIBAeAoQUsNzXOlVCAp4E1Jr1XxVdu/aK1H9u0pU/24h2FuajAACCCCAAAIIIICAtQAhlU8GAg4RsBtSFy2Kk9c7R0mePE/Ijp2r5aGHHnRID2gGAggggAACCCCAAAIpFyCkptyQEhDwiYCdkPrnn39JxfL15YsvTsjEScOkTdtmPqmbQhBAAAEEEEAAAQQQcIoAIdUpI0E7Ur2AnZAaM36GDIueIKVKFZWt21ekejMAEEAAAQQQQAABBMJPgJAafmNKj0JUwFNI/eijz7RXzvzxx5+yZOl0qV2naoj2lGYjgAACCCCAAAIIIOBagJDKpwMBhwi4C6k3btzQAur77x+QVq0jZfKUEQ5pNc1AAAEEEEAAAQQQQMC3AoRU33pSGgLJFnAXUqP6jZTp0xZIkSKFJH79YnngwXTJrocHEUAAgf37D0rlSo0SIQYM7C59+3XxCBO3Ml67p1Hj2h7v1W84efKUtGzeVQ4fPmb5TMGC+WTh4qnaYXCq/Date3gse3tCnJQoUdjjfZ5uGDtmmiiL+QsmSdq090pUvxGyYH5sksd8UZeqo2f3IYn99NQub76v+06YFO0TE2/q5l4EEEDAXwKEVH/JUi4CXgq4CqkrV8RL2zY95O6775J16xdL6dLFvCyZ2xFAAIF/BS5cuCTDomNk8JBekiHDQ6J+37pVdy3guAqq+j07EvbIvPkTXYZUq0BqvN9ct3lcVEg9ffqs28CsguVL5UqmOJCZ67py5aoWUtWefz2E62E+pUHVlyFVHws1VnpQV+UrFxW21ZhyIYAAAqEuQEgN9RGk/WEjYBVSvzz+lRQtUkXr45ixg6RT55Zh0186ggACzhFwF3JU8Bw9cooMHxkl48dNSxLiXPVAlbcidq2MHjNQm6HUL/X13bv2uQyhgQqpKuj16jFEogZ002Zw1WUVUtXXVfhTl52Z5kCMqFVIddX2QLSHOhBAAAF/CBBS/aFKmQgkQ8AqpKb/bx75++9/pGmzejJr9vhklMojCCCAgGcBOzNx3gQhY0hVtVsto9VbZZxpDdRyX6swbCekquf27v1IChUqIN26DhB9mbRxpln1q2KlsklmNa18zbPO5tlaq++rso3LtM1LpVXbzD8Y8Dz63IEAAgg4T4CQ6rwxoUUGAfU/AN17tNd+It+lc9RtNus3LpG8eXNL+7Y9ZffufSFtZw6plSo2kAMffioFCj6t7UPNnDljSPePxiOAgO8F/vnnHzlz5nvtn9OnvpU0adJoJ3+nS3e/7cr0cJYtW1a3s4UpDalNIuvetkRXzVLmyvVo4vLaQMyk6v0wt8eqf+av6SHaGKz1MNntjbZJ+hEbuy4xqJpDqnn5ryqjd69hMj5msDaza7XPdNPGBKlQsbQ246uWZxuX+6rB1me8YyZGs+TX9qefGxFAwKkChFSnjkyIt+vAx9vkwIefWAZLb7qmynnwwQcsQ+hLL5WU2XMnyIkTX0tEzVe9KdaR9xpDarGiVeX4sZOSM+ejsmz5TCn4bD5HtplGIYBA4AV27fxAVsVtkIMHD8np02e00GK8Nm9ZLqXLFLfdMBUU18dv9Xioj69CqnFPaTBCqtVSX4Vl1T8VSo1h0/x79Zzqw7lzPyaZwTSXZQyp+gFNxr2vejl6YHe3xNhqua963lW/bH8QuBEBBBBwkAAh1cVgqHD09NNPuh0q9b7KHt2HaLN8vrjUT3UnToqW3377I9kzg3pwy5794cQmLV4U53VY1NuyZvUmr59VbejU+TWpVr2iHD/+lRQrUkXseP7ww09J+q3PoqoDg8zX9es35NNPDkvxEi9Y0vt6bHwxvp7K0EOqHlCzZMkky1fMkmLFnvf0KN9HAIEwF7h27ZrExW2QVXHrRYVU45U9e1bJnftxeSJ3Tm1lSes2TeW++9J6FNHDzvmffvYYUF2FOFeVWC331WcuPYVUf5/u6ymkGk/3NS/b1Zf76ktq3QV3Y9A0hlRlpmZC1SFU5kv9d69tu1csZ0r1ewmpHj/a3IAAAmEgQEi1OYgqZOXIkc2nodRcdUpDqh5QVbn68le1HLZcuVLibVBVbWnduqk8/0JBmTRxtowcMcmm1L+3qf/Ydu7ymkyf9pbH583Ldo19iV+3RapVqyivd4lKXNKrfz/hnd3y2OM5tEpDfTb1yxN7pXbtFtoMqlqqF7tytqh+ciGAQOoWGD1qijZz+tVXpzWIrFmzSIOGNSUioqrkfjJnsrYC6MtJixZ7zvYextQ4k2r+5PkypJqX63oKoZ6+z0xq6v57gt4jEG4ChFSbIxoKIVUFPbV8yBgq9TD34IPpkhWwVZnq3Zy+nDG2IjeHVHNflL+61KysulQAbty4thZc1aWW/arAarVv1eYQB/22p/Pl0QLqHXfcISvi5kjVquWD3iYagAACwRVo2aKrqBUt6lIrRxo0rCUNG9SSDBnTJ7thdl45Y1W4tyFVP+BH7dX8/fc/RP3wU830Gk/VDcZyX2/2pHoKqer7Vktz7Sz3dbUH2JOzq5lU9qQm+48EDyKAgAMFCKk2B8XpIdVqFlXvWnJnU9Xz3u779PZ+Yxv1A5BKlylx2wys+p+bodG9ZeiQ8dKjZ4fb9qkaQ2soH6CkDswYOqy31KpV2eYnk9sQQCAcBX777XepWrmJHDlyXP773wdl2vTR2oFIvrg8neRrdWiPqtdTeFL3GE+k1U+rNYZC9foZtTJHP5V2zerNAT84SbVTzYiqS38fqt3+mWdSjX329uAkFeKNJ/pOn7ZAKlcppx2cZH4/qzJcEbtOmkTWSTw4KTKyTpL2u3rtjy8+M5SBAAIIBFqAkGpT3FNI1ZfqGk9U1PdjGqsw32fch+lqua++n9O8Z9NYrr5/Ux0/b172qv7npnmLRrJr116vl8TqoTNTpgy2lv36IqR6Cpm608cfH/K6PzaHOyi3qf9Zih7WWx55JFtQ6qdSBBBwhsDRo19K2dIRcuPGTcmdO6fMnDVWSpQs4rPG6QHIqkAVmjJmTC8tm3eVCZOik5zGayekumqkeXmxfkKtun/+gkmJp9EG6hU0VrOOdvpnFVLN4Vz9vlXryCTLqK1+MGDuq/kVNMZxMr5qRg/Zau+u/vUcObJrr/kxH8bksw8NBSGAAAIBFiCk2gR3F1KNs3z6IUpWwdAqSKqvPftsPmncqJ22FMp8cJI+C2oVeI1NdxdE9XpPnfo2cbmszW5ry2rVK2DU4UWe2qDK9GVIdXdwkrv2uwvzdvsdjPus3pMajHZQJwIIBE/g2BcnpHixaloDihV/QRJ2rApeY3xQsx5OszycOUkY1Ys2v4olEK+g0eu2U5cPCLQiPM1ep7Qef5ef0vbxPAIIIOCtACHVppinmVRzMVbLb1UZTzzxuMsZSXNIbdgoQpsBtRMO9ZBqdUBSSkKqvidV7YmqV7+Gx0OQfB1S7R68pPuH8ntTCak2/zByGwJhKqD2GuZ8rLDWu46dWsrYcYPCtKfO6Jbd98P6orXuXimT0vJdLc9Oabk8jwACCARTgJBqU9+bkGp8DYzxVSj6sl1XJ+0aQ6o60bZ1m2byyy8XbL2Oxh8hVe+H2hvVu+dQ7XAi9e/64UVWdL4Oqfosrs1h0m5jJtUbLe5FAAEnCPzzzz9S+PmX5euvv9FeQTJhYrQTmkUbUiCgh2D1Shvz8t8UFMujCCCAQKoQIKTaHGZPIdXVe0CNIVUPkqpKq/d4utuv6qmZdpb7Wu1XdVeuKlO1ST8t2Pz7QITUNm2bSVS/kT57F60nx2B+n5nUYOpTNwLBFVD7C9Xy0+o1KsmKlbOD2xhqRwABBBBAIMgChFSbA+AupOr7RlVRxsOJrJ4x3msOq3pIvXbtutaqBx5IZ+uwInWvu4OT3H3PVfeNs6j6zKnV18zP+3ImVYVitcT4t9/+kOzZH7Y5UiLXr9+w7Wa70ADcWKToc1K9ekWpWKmMPP98wQDUSBUIIOAEgb59hsvMGQulUKH88u6uNXLXXWmc0CzagAACCCCAQNAECKk26V2FVHfvIbUbbPXlqdmyZ008OOnNqfNkwMA35O6777YVuPSA+913525bjmv1/lRP3Xb1jAq87vaJ+jKk6vtLr1+7LlevXdP6ZS5f77faM6vekeqpfZ767ZTvq8DaufNrUr9BTac0iXYggIAfBEaPmiKjR00VdYL6pi3LJF++vH6ohSIRQAABBBAILQFCqs3x8hRSVTHt2/YU/fUpenhSX+/RfYjlclXzQUnGkKrKUu8LVXsyr1+/7rIMY/Ot2uju/amuuu5p5tXd4US+CqnGcrJmzaI1NdxD6rjxg2Xjxndkz+59iUOjXkujPgP58z9l85PKbQggECoC6jVaVSs31lZ/LF0+QyIiqoRK02knAggggAACfhUgpNrktTMrqh+I5OrgpPfeXy9bt+7UXmSuLnMYtHoFjb7X1GoPq7nprl5ho96bpu8r9dRddzOy+rPulv36KqQa97+qF9g//fSTnpqe+P1QXe6r70k9ePCQzJj2lqxatUHrk1r2rYKq+ufOO++07cCNCCDgbIHIJu1l08YEadf+VYmZMNTZjaV1CCCAAAIIBFCAkGoT29uDk1RgVe+4y5EjW+IsqPlgJFW18aRfq5Cp7tH3sdoJX+Y67IRbncBV/VZE+r1qJiCi5quJt/gipOozyvrSZWWvrnCfSe3YsaWMHf/vKyfWrtksU6bMlU8Ofq71v2jR57SgWrNWZZufWm5DAAGnCqgTX9/oNlDy5n1CNm+NlSxZMjm1qbQLAQQQQACBgAsQUgNO7swK9Vldu6+8Ub2wev9qckOqMYh27tJK2rdvLqNGTdGWSaeWkKpMVQiNHtYn8UNy48YNmTJ5rkydMlcuXfpN+/qrzRvK+Jghct99aZ35YaJVCCDgVuDcuZ+kUoUGcvbsDzJv/kRRy/q5EEAAAQQQQOBfAUIqnwbtNTMTJ0WLeVbUDo159lU9o96neuLE10lmWM1lGV/Ho77nbpbYGFJdtUkPzHfffZccP/6V23e52ulXMO65//775M8//5Ko/l0lqn+3JE1QfZo6ea4sXfq29nV1CujyFTPl0UcfCUZTqRMBBFIgMHzYRBk/bro0e6W+zJw1LgUl8SgCCCCAAALhKUBIDc9xpVchKBC7YpY0a9pJa/nmrctF7SU2X+vWbZEO7XrLX39dkXvuuVveSVglzz1fIAR7S5MRSJ0Cp0+dkXIv1ZGLFy/Lnvfi+fObOj8G9BoBBBBAwIMAIZWPCAIOEVAHJ017c770jxol5cu/KPEbFlu2bO/ej6T5K13k/PlfbgXaLculdJniDukFzUAAAXcC6s+3+nP+WqsmMmXqSLAQQAABBBBAwEKAkMrHAgGHCOin+9ar85okJOyRodG9pUfPDi5bV/j5l+XkyVMEVYeMH81AwJPAF1+ckHJl68rVq1eZRfWExfcRQAABBFK1ACE1VQ8/nXeSgB5S9+37WKpVidSW86pTPwsXftZlMxs2aCPbtu4kqDppIGkLAi4EenQfLPPmLmMWlU8IAggggAACHgQIqXxEEHCIgB5SVXNGjpgsY8e8KVWrVpC4t+e6bWG7Nj1lxYp1BFWHjCPNQMBK4NCho1LmxQjtW+xF5TOCAAIIIICAewFCKp8QBBwiYAyp6rTjalUj5aMDn8roMQNEvZbH3dWn9zCZNXORdsv2hDgpUaKwQ3pFMxBAQAn07DFE5s5ZKi1fayxT3xwFCgIIIIAAAgi4ESCk8vFAwCECxpCqmqSW8arlvFmzZpE978drv7q7Ro+aIqNHTdVu2ffhZsmf/ymH9IxmIJC6BdQrpNQs6rVr1+TdnaulSNHnUjcIvUcAAQQQQMCDACGVjwgCDhEwh1TVrG5dB8hbC1ZYvjvVqtn6yaHqe0e/2COPPsZ7VB0yvDQjFQvofy7Ve6XnzI1JxRJ0HQEEEEAAAXsChFR7TtyFgN8FrELqZ58ekbJlatueTVWNfL1Lf1m0cKXW3jPffSIPPfRfv7edChBAwFrg9OkzUqZ0hPx2+XftILTSpYtBhQACCCCAAAIeBAipfEQQcIiAVUhVTfN2NlU907J5V1mzZpPWs4uXT8idd97pkF7SDARSl8Cw6AkSM36G1K1XXRYtfjN1dZ7eIoAAAgggkEwBQmoy4XgMAV8LuAqpyZlNVW2rX7eVvPPObrn77rvklwvHfd1cykMAAQ8C5879pO1FPX/+F1kbv1AqViyDGQIIIIAAAgjYECCk2kDiFgQCIeAqpKq6kzObqp6rUL6+fPzRZ5IjRzb54vj7gegGdSCAwP8LTJ40RwYPGivVa1SSFStn44IAAggggAACNgUIqTahuA0Bfwu4C6nJnU1VbS7wzEty5sx38sILBWXXnlvvU+VCAAH/C6i9qIc+OypLlk2X2rWr+r9CakAAAQQQQCBMBIIWUnM+VlguXLgUJox0A4GUCWTI8JB8c+ag20KSO5t68eJleSpPKbl69apUrVpe4t6el7LG8jQCCHgU2LBhuzSL7CjPPV9A9rwX7/F+bkAAAQQQQACBfwWCFlKbNe0kG9ZvYywQQEBEakVUkWXLZ7i1MM6mfrBvo2TOnNG23aFDR7W9cepq3ryhTJsxxvaz3IgAAt4LvNaiq6xevUlGjuovr3dt7X0BPIEAAggggEAqFghaSF25Yp20bdMzFdPTdQT+FZg7b6I0blLbI0m7tr1kRexaGR8zRNp3aO7xfuMNGzdsl6aRHbUv9erVUQYP7eXV89yMAAL2BI59cUKKF6smGTKkl/0HNmuvkOJCAAEEEEAAAfsCQQupqonZsz4rf/zxp/3WcicCYSiQLt398sOPn9vqWfy6rfLqK52lZKkism37rXehenPNmP6W9Os7QntkytSR8lqrJt48zr0IIGBDYMTwSTJu7DTtB0nqB0pcCCCAAAIIIOCdQFBDqr5nx7smczcC4SWwLHam1KpV2Vanbty4KUVeeFlOnz4j6+IXSYWKpW09Z7ypf9QomfbmfO1L8RsWS/nyL3pdBg8ggIC1wPXrN6R4sary9VffSMKOVVKs+AtQIYAAAggggICXAkENqaqtKqi2b9uLGVUvB47bQ19AzaDOnhtjO6DqPY7qN1KmT1uQor2lLVt0lTWrN2lFfn54l+TM9Wjog9IDBBwgEBu7VvtvWrVqFWTlqrkOaBFNQAABBBBAIPQEgh5SdbKVK+Jl/fpt8sH7H3Lqb+h9jmixTQF1iu+LpYtLRERladykjs2nkt72/nsfSvVqTeX+dPfJhwe2ymOPPZKscqq83Fj27ftYe9bd62+SVTgPIZBKBRrWbyPbtu2U+W9NloYNa6VSBbqNAAIIIIBAygQcE1JT1g2eRiB1CZQvV08OfnxIxo0fLB06tkhW59V+8JLFq8u3334nDz30Xznz3SfJKoeHEEDglsCBA59KpQoNJN8zeeXDA1tgQQABBBBAAIFkChBSkwnHYwgEU2BCzEyJHhojL1d+SVavWZDspnz99TdSrEhVuXHjBu9zTLYiDyJwS6Bvn+Eyc8ZCGTioh/Tp2xkWBBBAAAEEEEimACE1mXA8hkAwBY4f/0qKFamiNeHTQzskd+6cyW7O3r0fSdXKt075rVu3uixa8mayy+JBBFKrwK+/XtReO3P50mXZf2BLiv5MplZDq37v339Qdu/aJ337dYEFAQQQQCAVCRBSU9Fg09XwEmjSqJ1s3rwjRUt+dZG1azdLi1df137bvUd7iR7WJ7yw6A0CfhaYM3uJ9Oo5VJo2qyezZo/3c20pL16Fv8qVGiUWNGBgd5dB8MqVqxLVb4QsmB+r3V+wYD5ZuHiq5MnzhMuGjB0zTUaOmGSrofPmT5RGja3fE63XXapUUY/36O1zV2mr1pEyesxA+e67H6Rl865y+PAxW21UN1WsVFbmL5gk6mwBLgQQQAAB/woQUv3rS+kI+E1gyZJV0rljvxQv+dUbOGvmIunTe5j226HRvaVHzw5+azsFIxBuAlUqN5Z9ez/Wlt+rZfhOvi5cuCTDomNk8JBeWuBSv2/dqruUKFHYMqjGrYzXuqMHSfX7KZPnug2qKqS+VK6kVqa69LDZJLJu4tfU19V9uXI9mli23XBrDMqq7FEjJ0vzFo0Sg7O5j6qukydPyeJFcdJ/wBuSNu29lkNkbo+Tx5G2IYAAAuEsQEgN59Glb2EtcPHiJSnyQmX5+edfU7zkV4caPWqKjB41Vfvt2HGDpGOnlmFtSOcQ8IXAjoQ9UrfOa1K8RGF5JyHOF0UGvAw1s6oCmp2ZQjuzmykJqcbQagWhAmivHkMkakA3LZSaZ3rd4ekzqVYh1SrYBnwgqBABBBBAQBMgpPJBQCCEBbq+PkAWvrXCJ0t+rYLq1DdHSsvXbu19Kg+bAAAgAElEQVRX5UIAAWuBTh36ytKlb/v0z2Ggrf0RUpOz3NfOTKZVSE3OTKp5ybMn8+0JcUlmgT3dz/cRQAABBJIvQEhNvh1PIhB0ge3bdkmD+q19tuTXKqjOnT9RGrvYLxZ0ABqAQJAFjh07KS+WrCkZM6aXvfs3SebMGf3eops3b2pLdNVqiosXLmu/6r9Pn/4hqV2nqqRLd7/tdugzkdmyZbV1QJEKdz27D/Hbct9AzaQaD2VSS4FHj5wiMROjE5dA67O1OXJk1/bkmpcq2wbmRgQQQAABrwUIqV6T8QACzhH4+++/5dmC5eXsme99tuTXKqguXT5DIiJunSbMhQAC/woMGjhG25/prwPHzp79Xg5/fkwOHz6uHfJz5PAxOXXqW7dDsHnLcildprjtYVKzl+vjt3o8DEkVqMKcOnAoonZVt4E2Jct97czAutuTqvbMxsauk2nTR8v4cdMSw6V5T6o5pJoPUtLrIKTa/ihxIwIIIOAzAUKqzygpCIHgCLzepb8sWrjSL0sNjXtU16xdIJVedvaBMMEZAWpNrQLnzp2X0qVqyuXLv8sH+zbIU0896ROKLVvelfh1W/6vvfuAkqJY/z7+eEFZlCRKUEFUvCAZREDyEmTJGQGRHCWzLEiSsGRYwhKFJUlaclRABEHERFAyKCoogopXARUFBXlPtf/et3eY2ZnZSd3T3z7Ho7A9VU99arjn/qjqau0gpnPnvnXapjrwKGvWB7VVP+N/Fyr8jMcrqfqBSZd//MmjgKrCX6eO0ZLSScB6sZ4egKTuN57u6xhunQ3ecbuvfo+rFWFXW4hZSfXL15VGEEAAgYAIEFIDwkqjCARPYMOGt7SVDXWiqDpZ1N+XMahu2bpUIquU93cXpmtPrVDfunVb1L//+ecfueeee0xXIwU5F7hz54785z//kTRp0kjatGm0fwfqmhI3V0aNjNOe21bPb/tynf3ia9m0aYds3rxdjh09ldRURPoIKVQwvxQslE+KFy8sJUsWlWdLFvWlK+2z+opoqdLFtVeyuDrt1jF0evJcprPTdj053dfVPZ4MVl8NrlqtgmTIkCHZKq8erlU7xvpZSfVElnsQQACB0AgQUkPjTq8I+E3g6tVrUrRwFVH//uzobsmb9wm/ta03ZAyqM2eNk7btmvu9DzM0qELpX3/9rYVTrvAQUCH1vvvu9XtYvXHjpvYsqgp76kRfdbJvai71XPmKFetl86Yd2l+IqKtgwXxSu051iYqqIkWKFpD770+fmqZdfsbdK2ccP+jJK2eMn3F2Sq4nITU1p+vqYXvKtFHaoUaOr8tRdRl/z7i1+eefr8h7ez/SAi3PpPr1K0ZjCCCAgM8ChFSfCWkAgdALqJVUtaI6afJw6fZK24AUtCBhhUT3G661HTOguwwf0T8g/YSqURVM1f+R5gpPAbVS6M9V1UULV0rfPq9Jw0a1ZOmyWV6jqa288+ctk/Xr39Q+myNHNqlTt7oWTmvUiPS6PW8+4O4kX2PwK1askHZoULlypZLeZequL2fvI/UkpKq6ViVu9Ghl11kNevhWoVN/P6tjSDV+ju2+7maSnyOAAAKhEyCkhs6enhHwm4B6JlU9mxqoLb96ofv3H5DaNVtqv2z2Yn3tYBJ32wT9NsgAN3T9+h+itopyhaeA2rL9wAP3+2Vw6rtSrUoTOXXqC1mzLkFq1qzqcbvffXdJJk2YJUuWrNY+89RTeaRHzw7SvEUDyZQpo8ft+HJjSq9eUdth1UnF6i++1OqkHlIXLUy8q0tX7xx19gyou5Bar36UTyfoprQ67Gx1VQ2GV9D48i3iswgggEBgBQipgfWldQSCIqBO91Wn/KrVwEBt+dUHop6XqxLZWP7++28pXaaExMePlUKF8wdlnIHqRL3SQ23f5ApvgYiIdJI2bVqfBxk3eY7EjpoitWpVldVrEzxub93arTJm9DTtdN506e7TwmnPXh3l4YezetyG2W90tWXXGFLVGGpUf1Ebin6CrvrvpW+skSFD+3r9F1+OW34djVIKqfp235RcfXlW1uzzRX0IIICAWQUIqWadGepCwEuBJo06yDvvvCdxU0ZKl66tvfy0d7erE0fbtO4pR4+c1LYpqhUXK7+iRgVUFVS5wltABVQVVH25zp+/oK2i/vTTz1pAVUHV3XXlyjUtnCbMX6bd2qhRbYmO6aatUnIhgAACCCCAwN0ChFS+FQiEicDMGQtl6JBx2jNtq1bPC/io/ve/X6RblwGyc+dera/XhkfLgIE9At5vIDpgq28gVM3Xpj+2/L46cLTMnbPE41XU3bv2yfDXJmnvOFWHmvWPeUVebt3UfDhUhAACCCCAgIkECKkmmgxKQcAXgRPHT0u5snUlIiJCjh5/Vx55JIcvzXn02Zs3/5LePYdIYuJG7X71nOr4CUMle/aHPfq8WW76/ffrZimFOgIskCHDA6nu4cCBz6R61X8DpierqFOnvC4jR0zW7lcHmqmAqnYecCGAAAIIIIBAygKEVL4hCISRQNUqTeTQwSMy9/VJ0urlJkEbmVpZGjF8kvZcZ9GiBbWgWrHS80Hr39eOCKm+Clrn876E1Late8nGjdvc7lb49tvv5LVhE2Xjhm0azNTpsdKpUyvrIFEpAggggAACIRYgpIZ4AugeAX8KjI6dKpMnzdZWNBcumubPpt229fFHh2T48Mmi/q3eSzl+wjDp3OVlt58zww2EVDPMQnBqSG1IVeFUhVR1bdu+UipULOO04K1bd8rwYRPlq6/OS67cj8q0abESVbNKcAZHLwgggAACCISJACE1TCaSYSCgBPa//4nUrvWSPPRQVm3Lb7BeaaHrq5VUtaKqVlbVpV4r0bVbG6lk8lVVQqp9/vykNqSqbb5qu6/6i5cpU0c5BZsRnyDDhk7Qfla27HPaCmqhQtY++do+3wxGigACCCBgJgFCqplmg1oQ8IPAsyWqy5dnz8nS5bOkYcNafmjR+ybUM6oz4xfIiRNntA+3bt1MC6tFixX0vrEgfIKQGgRkk3SRmpDaq8dgeeONNdqrYna9u057t6nxun37H4npP1IWLlih/XaLlg21U7aD/ZdEJiGmDAQQQAABBHwWIKT6TEgDCJhLoH/0CEmYv1zatW8hM2aODVlxN2/elHmvL5N585aKeo/rvffeqwVV9U+ePLlCVpezjgmpppqOgBbjbUhV70NV70VV1/T4MdKhY8tk9altvSqg7t71vvb7Y8YOlt59OgV0DDSOAAIIIIBAuAsQUsN9hhmf7QTUM3GtWr4ijz+eS9vymyZNmpAaXL78P5n3+lKZP2+pXLv2m2TL9tC/YbVrG8mcJVNIa9M7J6SaYhqCUoQ3IfWdne9Jk8YdtLrUd3Zy3IhkNa5ZvVnUc+DffPOdFC78jBZQq1arEJRx0AkCCCCAAALhLEBIDefZZWy2FFCBq2jhSFHvMd2wabFUr17JFA5nz57TgqoKrOp6+uknk1ZWQ10gITXUMxC8/r0JqZky5NUKU89Uv7nt36286rpy5aqMjp0mCxKWa79u+VIjGT1mkOVevRQ8dXpCAAEEEEDAOwFCqnde3I2AJQQ6tO8r69ZulZgB3WX4iP6mqvnwoaPaFuBViZu0uvI+/YRERVWRGlGRUrVqaFahwjGk6odYNW1aV0qVLpHsO6D/TP3mqNiBEhGRzlTfkUAW40lIvXTpB3kmX3mtDLXy/9W5A0klrVm9ReKnz5fjx09LxowZZMTIGOnStXUgS6ZtBBBAAAEEbCdASLXdlDNgOwgsfWON9OwxWMqVLyU73l5lyiG/u3u/Fla3b9udVN8zBf4rUVGRWmh19YqPQAwmkCFVD4TLlq5NKn3AwB7SL7qry6FsWP+WNn/GK7JKOWnbtrm0b9fH5ecKFsov8+ZPlrx5n9DeWatOWtZD6sEDn0mD+m1T5GvdppkWWre9teuu/h1riYwsLyNHTL6rxtlzJsiDD2YRT/pzLGbW7PHSuEmdQExxUpvuQqp6z7B637C6HnvsETn9+X7tvz/55FOZOWOBbNn8tvbryMhyMmJUjJQsWSyg9dI4AggggAACdhQgpNpx1hlz2AuoZ+TUlt87d+7IydP7JHfux0w75jOnz8q2bbu1sKqCgH4VKVpAC6sqtJZ5vmRA6w9kSFWBU82HHkrVVtEe3Qdpc+JuFVMFvXXr3nR6n95Ov35d71opVVjOVlKd/Z46+CdxxQaJGdjjrhVVdX/cpNnSqHFt2bhhm7Rs1VgLwM4uVeu0afPEGFKNtSsHNb/6mB1dpk2dpx2oFcqQumXzDnm5VQ9teI0a1Za4qSO176UK7eo7qq4cObNJ796dpFdvDkcK6B9KGkcAAQQQsLUAIdXW08/gw1mgQb02smfPB5KwYIo0b9HQEkNVIUYLBdt2iwqv+vVsyaJaWC1cuIAUKfKMPPHk434dTyBDqqtAN3jwuKRVT1eDSSmkOoZCYxuOK7FqFdZxhXPzljekSNGCyVZbHevwNaS6W7l17C9UK6nbt78rSxYlivq3umrVriYR6dLJxo3bkkrMkiWTNHuxgfTu01Hy5Mnt1+8fjSGAAAIIIIBAcgFCKt8IBMJUYOqU17XtmO07tJD4GaF7FU1qeXfu3KsFVvXPpUs/JmvmyScfl8JFntFOVC3xbBFty6V6djC1lxVDqlp5VJerbcPGVVM9jBq3HLuyUkGxStXy2mrv3j0fOr3N2XbllEKzsZFgrZi6Gp/a7vvhBwfl8OGj8vmZr7R/nzz5uXZ7+vTp5c8//0z20foNakqtWlUlqmYV7T2pXAgggAACCCAQeAFCauCN6QGBkAh8eviYRFZuJPnz55WDh3eGpAZ/dHr9+h9aUP1g/wHtsBr1z59/3riraRVcixUvJCVLFtVCq3q9TebMmSRTpgySKVNG+c9//uOynGCHVLXSuW7d1qTVTVeFuVpJVVt0hw2dIGPGDnK5/Talg5PczYvaSjxk8Djp2bODts3XuN336JGTybYv620ZQ+qXZ8+5ff41pZAcqC2/lSs2lLNnv3Y3fHnuuWLS8qXGUrtOdXnssZxu7+cGBBBAAAEEEPCvACHVv560hoCpBMqXqyvHj52Wfe9vluIlCpuqttQWowLqkSMn5OjRk3Li2L+hVf1z69Ztl02mSfMfyZwls2TJnEmyqH9nySSZMmeUTBkzSMZMGWXosL6pLcfrz+kHCqV0eJKrg5P0LbtqNXLypNmitvGqA4zUCp9jsHMMqSrYdu0yQE7936qhs8L17baehNQKFUrfFUSN24pdwYRyJTWqRnPtz4O7i5DqToifI4AAAgggEFgBQmpgfWkdgZAKDB0yTmbOWCgTJg6T7j3ah7SWQHZ+69YtUSt8R46e1P79+Zkv5eq1X+Xa1V/l6tVr8scfybdwOtZy6YdjgSwvqW09fOqn6Lp79YuzlVT1e+p51gEDusumTdtlwIAeMnnybO11Q8ZDjZyF1LjJc2Tc+CHa6buOlzE86iG1Q4eW2sFNfft1kYUJK7SDk/SVVBVSjQcjOdvu680Jv+5OPPbXBKntvh9/fFg+++y4nDr5hajTfNnu6y9d2kEAAQQQQMA/AoRU/zjSCgKmFFDPdTZt3FHq1Y+SFSvnmLLGYBV1TYVWLbj+pv1bD7Hqv9u0fTGgZegn8apnPL0JY44hVW+nVKkSUr9BlOihU22vNZ6sqwbjj5XU8uVLy08//aw996qv3qq21RgcQ6ozwJQOfjLe73jSbyAnw9kraBwPTipXrpTkyJGNg5MCORG0jQACCCCAQAoChFS+HgiEscBff/2lvYrm5l9/y8lT++T++9OH8WhTP7RAPpOqB8vLl392e5qv4wgcQ54Kij/8cFl7jcvFi98nhVS1Mup4kJIeUnPmzK5tDZ40ebh88MEBj1dS9YOT1CnApUqXSCpND5SehlRPT/j1JrynfqZFUnpPqjrNt23rXlrzasvv6rUJvILGF2w+iwACCCCAQCoFCKmphONjCFhFoGuXGElcuVE2bFos1atXskrZQa0zkCFVhceDBz9ze0iSswGrkDp16jxtNVM9S2p85lM9Y2rcvuv43lR9a7Ee/lLzTKrjFmJVY0ohVdW7f/+BpBOHrbKSarQ3BlUV/r+5cFj7sXo90swZC2TL5re1X0dGlpMRo2K0Q7q4EEAAAQQQQMC/AoRU/3rSGgKmE1ixfL280m2g9I95RUaMjDFdfWYoKFAhVQ+OTZvWu+tgI3fj1kOmCqZTpo5KeiZUf+7UMaQaA6T67zx5cjntU19hLVPmWcmd+9Fk24T1UNm3X1fpHz08xVfQOFtJdQylZn0m1Z29ekdv6VI1tdueeDK3HDu+N+kja1Zvkfjp87XDujJmzKD9merStbW7Jvk5AggggAACCHghQEj1AotbEbCiwPnzF7Qtv2Wef1be2bXWikMIeM2BDqnevG9UDdaTE3CdhVR3UHpozp37MW3L8PFjp5KFVH2VtF375toraLxdSXV8ttSKK6lGw0wZ8mq/dHzXsHIcHTtNFiQs137e8qVGMnrMIMme/WF3U8DPEUAAAQQQQMADAUKqB0jcgoDVBdSrNz768JAcOfauPPVUHqsPx+/1Byqk+r1QQ4PehFTjK2v019iopowHOqlfFyyUX3tuNmvWLKI/k+psDPrBScbDmvQV2mefLSKffnpcli1N3V+IeHrycWptU3om1bHNEyfOSLnn62i/PXbcEOnVu2OyW9as3iyjY6dq740tXPgZGTN2sFStViG1pfE5BBBAAAEEEPg/AUIqXwUEbCCg/o+0OjxHBRQVAriSC4R7SPV2vvVX0KS0kvpK93YyYvikZGHUk/ekeluLv+/3JqSqvlclbpIunftrZcybH6etmhov9ZcFMf1Hyu5d72u/rYJq7z6d/F027SGAAAIIIGArAUKqraabwdpV4N1390vD+m21/4Ot/o82FyHVrt8Bb0Oqcho2dLzMiF8gDz+cVXa9u+6u3Qi3b/+jBdWFC1ZorC1aNpS4KSMlU6aMdmVm3AgggAACCPgkQEj1iY8PI2ANAfUqmkIFK0m6++6TE6f2WaPoIFZpxZXUIPKEVVepCakKoHrVpnLgwGfSucvL2kFWzq4Z8QkybOgE7Udlyz4nU6fHSqFC+cPKj8EggAACCCAQDAFCajCU6QMBEwi0b9tH1q9/U7bvSJTyFUqboCLzlEBINc9cBLqS1IZU46tptm1fKRUqlnFa6tatO2X4sImitgHn0k5PjpWomlUCPSzaRwABBBBAIKwECKlhNZ0MBgHXAgsSVkh0v+EydFhfeXVQL6gMAoRU+3wdUhtSlVDb1r1EhdXadarLqtXzXKJ9++138tqwibJxwzbtHrWi2qlTK/sgM1IEEEAAAQR8FCCk+gjIxxGwioD+7sfIyHKy5c1lVik7KHUSUoPCbIpOfAmparuv2varrtVrE6RWraopjmnqlNdl5IjJ2j3dXmmrvas4R45spnCgCAQQQAABBMwsQEg18+xQGwJ+FqhcsaEcP35aTp7aJ488msPPrVu3OUKqdefO28p9Camqr1cHjpa5c5ZoAVUFVXfX7l37ZPhrk7Q/d3nzPqEF1Zdb/xt0uRBAAAEEEEDAuQAhlW8GAjYSGDJ4nMyauVAWLpomzV6sb6ORpzxUQqp9vgq+htTz5y9ItSpN5KeffvZoNVXJXrlyTcaMniYJ8//dwdCoUW2JjukmxYoVsg88I0UAAQQQQMALAUKqF1jcioDVBba9tUtaNO8qHTq0lOkzxlh9OH6r//r1P+TOnTt+a4+GzClwzz33yAMP3O9zcXGT50jsqCker6bqHa5bu1ULq19//Y2kS3ef9OjZQXr26qi92oYLAQQQQAABBP6/ACGVbwMCNhK4du1XKVSgkuTMmV0OfbrTRiNPeag3btyQW7du4xHmAmnTppGIiAifR6n+UkOtpp469YWsWZcgNWum/GyqscPvvrskkybMkiVLVmu//dRTebSw2rxFg6C+V/Xjjw9LjeovJpU2dFg/eXVQT5c2a1Zvlk4do7WfV6teSduNkTVrFqf3nz37tbRr01vb4qxf7j7z5583ZPCgMbJoYaLs3LVGnn++5F1t6/ccPHBEliydIf/971Opmks19okTZqU4BseG1ZgGxMTK5Ljhqe43VcXyIQQQQMCmAoRUm048w7avQNPGHWXnzr2ye896KVWquH0hDCP/++9bcvPmTSzCXCBdunRy771p/TLKRQtXSt8+r0nDRrVk6bJZXrf50YeHZP68ZdprodSlDlSqU7e6dnJwjRqRXrfnzQd++eWqxI6Kk+EjYrSgqX7dsUM/LRg6C6oqoH3x+ddafepSAe/773+Q8ROGSfr0d4d+Z4FOfUaFQ1fhVg+g167+Ks8UyOe0DvX5CeNnajX4EhYJqd58W7gXAQQQCI0AITU07vSKQMgEJk+aLaNjp8qo2AHSL7pbyOowW8c8l2q2GfF/Pb4+j2qs6MaNm1K+bF1RgeydXWukjJOVP09GsPPtvbJixXrZvGmH/PPPP9pHChbMp4XVqKgqUqRoAbn//vSeNOXTPd4EN3f3Ogup7lYi9ZCqVkcPHzoqg4f2uWvFUgXd7Nkfls2bdxBSfZptPowAAgiYX4CQav45okIE/Crw/r6PpU7tVlL9hUqyYeNiv7Zt5cZu3bolKnhwhadAREQ6SZvWP6uoutCUuLkyamSctGvfQmbMHOsT3NkvvpZNm3bI5s3b5djRU0ltRaSPkEIF80vBQvmkePHCUrJkUXm2ZFGf+nL2YXfB0/gZd/f6ElLLlSsl585dkCefzC0vNm+Q1K1qc/zYeOnSrY22mmpcSTVuRS5SpECyrcDqZx9+eFCKFSssfXoPFbWtuXJk2WTbffWtz8Ytz8bt0GqrslphduzXcVtzh44tk1aXVaBWl74yrd87ZdqopK3Mem1qRXrrlre1Ohs0qCkN6rfVPutui7TfvwQ0iAACCJhIgJBqosmgFASCIfD3339LgWcqyq/XfpXjJ9/jvY0GdLb9BuMbGPw+/LnN11j9999flgrl6sq1a7/JBx9tlfz5n/bL4LZvf1c2b9ouakvwuXPfOm1TbdPNmvVBbbuu8b8LFX5GGjSsKd6sGuurmI88kjPF51JVIfq9KkwaQ6SxSFfbfY2hzXFQxnYfz5NLViVuTLadWAU6FV4bN6md7NlQx63I6r7ExE1J24r1ALtg4dSkeo0h++eff9Gen+3Tt3Oyn6vndfVnY/Xt0Jd//CkpAOsh1vj8rHEb9NGjJ90GYXW/Hsb1OvWg7G4Ltl++aDSCAAIImFiAkGriyaE0BAIl8HKr7rJl89uyeEm8NGlaN1DdWLZdFeTVQUq3b3OYklUnMU2aNKIOSrr33nsDOoTXhk2Q+OkJ0i+6q4yKHej3vi5cuCjHj52W48fPaAcRnTh+WjsdOKVr2/aVUqFiGY9rUWFpy+YdKR5GpO4ZO2aa1qarg430Dp0dnOTuM8aQWq9+lHaIUouWjbRVRxXYYqJHaFuA1ZXSAUaOAdkxtKrP6yFVrcaqthyfxXVcBdU/07/fCM0oV65HtfocQ70eLNXq6UMPPZisTtXmmdNfSOYsmbTwrcarj0ltcXZWp3Gl1dmzvx5PMDcigAACFhQgpFpw0igZAV8F1LtS1TtTO3R8SabHj/a1ubD+PK+msd70qlfNBOs6ffqs9myqCiUffvyWZMv2UMC7VlvTVSC6cuWqXPnlmvZv/dcPPpjF45VUZyuEnhTv7hAkx6Do7qAl1afjCq2+cqoCnwqV+sqqOh3ZMaQ6nlRs3PLrLOip+1XgzJb9YSlb9rlkq8fGoGk8Ydg4poceyqodNKVqM97jLGirFWcVuseNnS516r4g819fmhS21fbluKmjtJVwZ3USUj35NnIPAgiEqwAhNVxnlnEhkILAoYNHpGqVJpIvX15eRcM3BQEfBbp3e1WWL18nkyYPl26v/Ps8odkvfbWzVOniLk/pdTUGd1t+HUOqHvxatmzocouwY5t6G7GjB4o6SVlfVXW3Uurs5+pZT+NJxMaQqv5Cw3jisL9CqtoKbdyirAfShPnLtWdiv/3mO237sv7MKiHV7H9iqA8BBIItQEgNtjj9IWASgSKFKss333zHq2hMMh+UYV2B3bv2SaOG7bUTftVJv2a/fH3eUQ+UenB0HK+zZ1KdbWc1fs5Z8FUrsL///rtc/O77pBVHY9v6tlvj87GehlTV9qzZ42XypH8PONJDrKsArupX27qN230dn8t1DLj6YU9NmtaTEyfOaIFUD66qTxVW9ZVYQqrZ/9RQHwIIBFuAkBpscfpDwCQCnTtGy+rVm3kVjUnmgzKsLRBVo7l20NH6DYvkhRqVTT0YT07nVYcJ6SfRzp61SGpERSa9EsZd4HQWUt0FY2fh0Nmpu85Cqv5sqN7GwQNHkp6vdbXdV4VUtYKqLrV1N0+ex5KCqjGQqudF9VVnda8Kqer33B2cpJ4h1Z+l/eXKNRk0uJcWSFVb48ZMF7WCq2/1Ve0SUk39R4biEEAgBAKE1BCg0yUCZhBYsGCFRPcdzqtozDAZ1GB5gfnzlklM/5HyUqvG8vq8yaYej+MznMZi1QFH6vlaY0jVA6ZaMVaXu1ejuHonqn6CrbNDlJyFVOOBSSoYqsuxbeMhTepZ1CFD+0pCwvKkV9S4C6nqeVC9jew5st11KrA+XmevoHF0NL7CRjd1fH5XH6f6uXELMiHV1H9kKA4BBEIgQEgNATpdImAGAbX9rNzzdUS9P5JX0ZhhRqjBygI//3xFypSuJdeuXpOPD2yXvHmfsPJwqB0BBBBAAIGQChBSQ8pP5wiEVqD0c1Fy5syXsviNeGnShFfRhHY26N3qAq8OHC1z5yyRYa9Fy8BXe1h9ONSPAAIIIIBAyAQIqSGjp2MEQi8Q3W+ELEhYLp06t5Kp02JDXxAVIGBhgQMHPpPqVZtKgYL55JMD2y08EkpHAAEEEEAgtICOevQAACAASURBVAKE1ND60zsCIRXYsvlteblVdylQ4L/yycEdIa2FzhEIB4FmTTrJ22/vkYWLp0uzZvXCYUiMAQEEEEAAgaALEFKDTk6HCJhH4Nq136Ro4Ui5cuWq7Ht/sxQvUdg8xVEJAhYUSEzcKF07x0itWlVl9doEC46AkhFAAAEEEAi9ACE19HNABQiEVKBt616yceM2GT9hqPTo2SGktdA5AlYX+Ouvv6VM6Zry1ZfnZdfutVK6zLNWHxL1I4AAAgggEHQBQmrQyekQAXMJLFqYKH37DJM6dV+QxFWvm6s4qkHAggJjRk+TSRNnSddubWRy3AgLjoCSEUAAAQQQCK0AITW0/vSOQMgFvv7qGylerKpkyZJZTpzaJ5kyZQh5TRSAgJUFTp/6QnsdTdasD8rHB7ZJzpzZrTwcakcAAQQQQCDoAoTUoJPTIQLmE6hTu5W8v+9jWb12vtSqVc18BVIRAhYTaN+2t6xf/5aMHTdEevXuaLHqKRcBBBBAAIHQChBSQ+tP7wiYQmDypNkyOnaq9O7TScaMHWyKmigCASsLbN26U1q1fEU7jEwdSsaFAAIIIIAAAp4LEFI9t+JOBMJWQH+/Y8mSRWXPexvDdpwMDIFgClSsUF+OHjkpy1bMlgYNagaza/pCAAEEEEDA0gKEVEtPH8Uj4D+B50vXklOnvpBDh3dKvvx5/dcwLSFgU4Hp0+bL8NcmSu061WXV6nk2VWDYCCCAAAIIeC9ASPXejE8gEJYCrw4cLXPnLJGp02OlU6dWYTlGBoVAMAW+//5HqVi+vly+/D/ZuHmJVKtWMZjd0xcCCCCAAAKWFSCkWnbqKBwB/wroz9A1bFhLli6f5d/GaQ0BmwrEjpoicZPnSKPGteWNpTNtqsCwEUAAAQQQ8E6AkOqdF3cjELYCv/xyVQoXrCT33nuvHD+5VzJlyhi2Y2VgCARL4Ny5b0U9m/rrtd9k245EqVChdLC6ph8EEEAAAQQsK0BItezUUTgC/hdo1qSTvP32Hlmxcq7Uq1/D/x3QIgI2FBgyeJzMmrlQWrRsJPMT4mwowJARQAABBBDwToCQ6p0XdyMQ1gL6QS9du7aRyVNGhPVYGRwCwRI4c+ZL7dnUmzdvyrt71stzpYoHq2v6QQABBBBAwJIChFRLThtFIxAYgYMHPpNqVZvKM888LQcOvR2YTmgVARsK9I8eIQnzl0u79s1lxsxxNhRgyAgggAACCHguQEj13Io7EbCFQIni1eSrL8/Lrt3rpHSZErYYM4NEINACR4+e1FZT1bXv/c1SvEThQHdJ+wgggAACCFhWgJBq2amjcAQCI9Czx2BZ+sYaeW14tAwY2CMwndAqAjYUiO43XBYkrJD2HVpI/IyxNhRgyAgggAACCHgmQEj1zIm7ELCNQGLiRunaOUYqVy4rW99abptxM1AEAi1w6tQXElmpkdy4cYPV1EBj0z4CCCCAgKUFCKmWnj6KR8D/At9+e1F7FY26jh7fI08++bj/O6FFBGwqoJ/0y2qqTb8ADBsBBBBAwCMBQqpHTNyEgL0EmjTuIO/sfE+mzxgjHTq0tNfgGS0CARQ49/W3Elm5oVy5co3V1AA60zQCCCCAgLUFCKnWnj+qRyAgAq/PfUMGDoiVBg1rybLlswLSB40iYFeB0bFTZfKk2dLq5SYy9/VJdmVg3AgggAACCLgUIKTy5UAAgbsEvvrqvJQoVk0yZc4ox47vlaxZs6CEAAJ+Evj++x+letWmcuHCJVmwcKq82LyBn1qmGQQQQAABBMJDgJAaHvPIKBDwu4C+5Xfxknhp0rSu39unQQTsLLBoYaL07TNM8uV7SrbtSJTs2R+2MwdjRwABBBBAIJkAIZUvBAIIOBXQt/y2afuizJo9HiUEEPCzQMsWXeWtN3dJl66tJW7KSD+3TnMIIIAAAghYV4CQat25o3IEAiqgb/nNnftROXp8r6RNmyag/dE4AnYTOHToqNSs0Vz++utvWbZ8tjRoWNNuBIwXAQQQQAABpwKEVL4YCCDgUkDf8rt+wyJ5oUZlpBBAwM8C48fFy/hxMyRjxgySuHqeVKr0vJ97oDkEEEAAAQSsJ0BItd6cUTECQRPQt/x27tJapkxlO2LQ4OnIVgJdOsfIqsSNkidPLjn06U5Jly6drcbPYBFAAAEEEHAUIKTynUAAAZcCX355Tp4tXl0ef/wx+fTIbrnvvnvRQgCBAAi8UP1F+eTjw1K8RGHt/alcCCCAAAII2FmAkGrn2WfsCHgg0LBBW3l3935ZsXKu1Ktfw4NPcAsCCHgrcPv2bXkmX3n58cefpH6DmrJ8xWxvm+B+BBBAAAEEwkaAkBo2U8lAEAiMwKyZi2TI4LHCKb+B8aVVBHSBixe/lwL5K2i/7BfdTUbFDgAHAQQQQAABWwoQUm057QwaAc8Fzpz5Uko/FyU5cmSTT4/s0g544UIAgcAIHD50VKpENtYaV+8nVu8p5kIAAQQQQMBuAoRUu80440UgFQJ167ws+977SBYtni5Nm9VLRQt8BAEEPBX47rtL2rPgN27clFKlisu8hDh5+uknPf24R/d9/PFhqVH9xaR7hw7rJ68O6un2s7/8clU6dugnzz9f0u396t6Y6BEyeGgf+e9/n9Laduy3SJECsmTpjKSfuyrAWVtui+UGBBBAAAHLChBSLTt1FI5A8ASmT58vw4dNlBebN5AFC6cGr2N6QsCmAn/++ae0eqm77Hpnn7aLYeq0UVKvfpRfNFTgix0VJ8NHxEjWrFnEm+C5ZvVm6dQxWlyF2j//vCGDB42RRQsT76q1WvVK0qlTK3nnnb0yfsIwOXr0pHaqsfrv9Okj5OzZr6Vdm95y/Pjpu8IzIdUvU08jCCCAgGUECKmWmSoKRSB0AidPnJGyz9eRzJkzaVt+s2V7KHTF0DMCNhKI6T9K5s9bqo24zPPPajsZmjWtJ1kfetCvCmqFc+KEWbJw0TQtuDq7VIgcEBOr/ahs2edSvZKqgumAgT3ltaHjk62yqvbHj42XuKmjtBpUTe/t/UjrxzFY+3XwNIYAAgggYDoBQqrppoSCEDCnQK2olvLBBwdkztyJ8nLrpuYskqoQCEOB8ePiZe2araJeCaWunDmzS9NmdaV+/Sh5Ku8Tkj37wz6P2l1I1VdIy5UrJefOXdD6c7U9WF9tdSxK7cJ4PE8ubfU0ZkAP+eWXK/JK14EyZdoobfuwq5D65JO5tdVbZ+2p3R1cCCCAAALhJ0BIDb85ZUQIBERgStxcGTUyTho0qCnLeD1GQIxpFAFXAjdv3pQ1a7bK2jVbZO+eD5LdpkLrE08+Lk8//YSUL19aGjSsKRkyPOAxph5AH3kkZ4rB88MPD2pbc2fEL0gxpOodu3om1bjFVwVavV31LG5K232NW5TV59RFSPV4mrkRAQQQsJQAIdVS00WxCIRO4OiRk1KxQn2JiEinbfnNlevR0BVDzwjYWECFVLWyevDQETl/7lvtgCXjtW37SqlQsYzHQmqb75bNO1weYKRWWfv3G5H0c3W/upytpOrPt+7ete+u/o3PpKpTwuOnJ2j3qBVWFTa92e6ralArrIRUj6eZGxFAAAFLCRBSLTVdFItAaAVeqNZMPvnkU5k2PVY6dmoV2mLoHQEE5Pbtf+Sbby7I+fMX5JvzF+T33/+Qjp1ekvvvT+9WRw+Ul3/8yWVA1e9RgVRtyVVXSiFV79Qx2OqrqhUrlZWjR08kHZZkLDKlkKp+tvSNNTJkaF/tkCVVQ+XIskk1uR0sNyCAAAIIWEqAkGqp6aJYBEIrMHHCTBk7ZrpE1awia9f9u+WPCwEErCegn6RbqnRxp4FRH5Gr50v1n+/cteauoKgC5Ngx0zxC0VdR1c0pne6rQq9xmzAh1SNebkIAAQQsK0BItezUUTgCwRc4fPioVKncWOv40OGdki9/3uAXQY8IIOCTgDevnHHWkScrqY6ros6eT3V8rjSllVTHewmpPn0F+DACCCBgegFCqumniAIRMJdA7Zovyf79n8iIkTHSP+YVcxVHNQgg4FbA3Um++oqmfuquY4OBDqklnysmgweNTep2/IShcvjQ0aTX1egHPbVo2Yjtvm5nmxsQQAABawoQUq05b1SNQMgE5s9bJjH9R0rJksVkz3sbQlYHHSOAQOoEVEitUf1Fpx9W23cfeuhB7ZTdQITUvtFdZdHClbJoYaIUKVIg6VlY41Zf4xZgfdW3ZcuGSYckOVuVTZ0En0IAAQQQMKsAIdWsM0NdCJhU4PLl/0np56JE/R/FLW8uk8jIciatlLIQQMAsAqkNlsZTfI3Px3bo2DLFZ2nNMm7qQAABBBBInQAhNXVufAoBWwv07TNMWwnp0rW1xE0ZaWsLBo8AAggggAACCCDgXwFCqn89aQ0BWwio9zTWr9dGHnk0h3aAknrnIRcCCCCAAAIIIIAAAv4QIKT6Q5E2ELChgHqmTT3bNm9+nLR8qZENBRgyAggggAACCCCAQCAECKmBUKVNBGwgMGf2Yhn06hipW6+GrEyca4MRM0QEEEAAAQQQQACBYAgQUoOhTB8IhKHApYs/SOlSUfLrr7/zztQwnF+GhAACCCCAAAIIhEqAkBoqefpFIAwEenYfLEuXruGdqWEwlwwBAQQQQAABBBAwiwAh1SwzQR0IWFBg1zv7pHGj9rwz1YJzR8kIIIAAAggggIBZBQipZp0Z6kLAIgJVIxvLoUNHeWeqReaLMhFAAAEEEEAAAbMLEFLNPkPUh4DJBWbEJ8iwoROkQ8eXZHr8aJNXS3kIIIAAAggggAACZhcgpJp9hqgPAZMLXLz4vZQvW1euX/9TPvhwq+TLn9fkFVMeAggggAACCCCAgJkFCKlmnh1qQ8AiAoMHjZXZsxZJv+iuMip2oEWqpkwEEEAAAQQQQAABMwoQUs04K9SEgMUEjh07JRXK1ZPs2R+W/R9ulZw5s1tsBJSLAAIIIIAAAgggYBYBQqpZZoI6ELC4QJfO/WVV4iZeR2PxeaR8BBBAAAEEEEAg1AKE1FDPAP0jECYCe/Z8IA3qtZGnn35SW029//70YTIyhoEAAggggAACCCAQTAFCajC16QuBMBdo0riDvLPzPZkybZR07vxymI+W4SGAAAIIIIAAAggEQoCQGghV2kTApgLr170p7dv1kWdLFpW97220qQLDRgABBBBAAAEEEPBFgJDqix6fRQCBuwSqVG4khw8fkwULp8qLzRsghAACCCCAAAIIIICAVwKEVK+4uBkBBNwJzJ+3TGL6j5QqVcrL5q1L3d3OzxFAAAEEEEAAAQQQSCZASOULgQACfhX47bffpXzZunL+/AVZtWa+1K5dza/t0xgCCCCAAAIIIIBAeAsQUsN7fhkdAiERGD8uXsaPmyGRkeVky5vLQlIDnSKAAAIIIIAAAghYU4CQas15o2oETC1w7dpvUr1qE/n8869k1pwJ0qZNM1PXS3EIIIAAAggggAAC5hEgpJpnLqgEgbASWLxolfTpPVQKF35Gdu9ZL+nTR4TV+BgMAggggAACCCCAQGAECKmBcaVVBBAQkXp1Xpb33vtIRsYOkOjobpgggAACCCCAAAIIIOBWgJDqlogbEEAgtQLbt78rzZt1lpw5s2urqblzP5rapvgcAggggAACCCCAgE0ECKk2mWiGiUCoBDp36i+rV22SXr06ytjxQ0JVBv0igAACCCCAAAIIWESAkGqRiaJMBKwqcOSzE1KtahO5c+eO7N6zQUqUKGzVoVA3AggggAACCCCAQBAECKlBQKYLBOwu8NqwiRI/fb60bNlI5iXE2Z2D8SOAAAIIIIAAAgikIEBI5euBAAIBF/jhh8tSrUpTuXDhoqzfuEheeKFywPukAwQQQAABBBBAAAFrChBSrTlvVI2A5QTmzF4sg14dIxUrlpG3tq+0XP0UjAACCCCAAAIIIBAcAUJqcJzpBQEERKROrZfk/fc/kcFDesvgIX0wQQABBBBAAAEEEEDgLgFCKl8KBBAImsD+9z+R2rVe0vrbtn2lVKhYJmh90xECCCCAAAIIIICANQQIqdaYJ6pEIGwExo+Ll/HjZrDtN2xmlIEggAACCCCAAAL+FSCk+teT1hBAwAMBtv16gMQtCCCAAAIIIICATQUIqTadeIaNQCgFzL7t99atW3Lr1m25ffu29n5XLgTMJnDPPfdImjRpJG1a9U9as5VHPQgggAACCPgkQEj1iY8PI4BAagXMuO1XBdObN28STFM7qXwuJAIqsKZLl04LrFwIIIAAAgiEgwAhNRxmkTEgYFEBM237VQH1xo0bFpWkbAREIiIiCKp8ERBAAAEEwkKAkBoW08ggELCmgHHb78rEuVK3Xo2QDeT69T9YQQ2ZPh37Q0CtqD7wwP3+aIo2EEAAAQQQCKkAITWk/HSOAAL6tt+MGTPIisS5EhlZLugo6hnUGzduBr1fOkTA3wIREWrbL8+o+tuV9hBAAAEEgitASA2uN70hgIATgW5dB8rKFevlkUdzyDu71sjjj+cKqpMKqCqociFgdQEVUFVQ5UIAAQQQQMDKAoRUK88etSMQRgK1a74k+/d/Ivny55VDh3cGdWRs9Q0qN50FUIAtvwHEpWkEEEAAgaAJEFKDRk1HCCCQksD13/+Q0qVqyoULF6VkyWKy570NQQP7/ffrQeuLjhAItECGDA8EugvaRwABBBBAIKAChNSA8tI4Agh4I/D5519JqZL/Hp4UFRUpa9cv9Objqb6XkJpqOj5oQgFCqgknhZIQQAABBLwSIKR6xcXNCCAQaIF3d++Xhg3aat306dtZRo8ZFOguhZAacGI6CKIAITWI2HSFAAIIIBAQAUJqQFhpFAEEfBFYunSt9Oz+bzh9pXs7mTjpNV+ac/tZQqpbIm6wkAAh1UKTRakIIIAAAk4FCKl8MRBAwJQC+qtpVHFNm9WTRYunB6xOQmrAaGk4BAKE1BCg0yUCCCCAgF8FCKl+5aQxBBDwp8DuXe9Lo4bttCYrR5aTFSvnSKZMGf3ZhdYWIdXvpDQYQgFCagjx6RoBBBBAwC8ChFS/MNIIAggESkAdplS1SmP57dffpWDBfLJw8XQpVCi/X7sjpPqVk8ZCLEBIDfEE0D0CCCCAgM8ChFSfCWkAAQQCLfDLz1ekY8d+olZWs2V7SObMnShRNav4rVtCqt8oacgEAoRUE0wCJSCAAAII+CRASPWJjw8jgEAwBXr3GiJLFq/Wuuzeo71079FOHn88l88lEFJ9JjRlAzdu3JQRwydptY2KHSgREelk2tR5cvDgZzJ7zgR58MEspqzb16IIqb4K8nkEEEAAgVALEFJDPQP0jwACXgnEjpoicZPnaJ/JkSObFlRf6d5eCyCpvQIdUjesf0t69hicVN6s2eOlcZM6KZarPjNnzhKZN3+y5M37RLJ7nYWv1I491J9ToXHypNlJZbRu0ywpUPpaWyhCqhnmhpDq6zeHzyOAAAIIhFqAkBrqGaB/BBDwWuDDDw/K3DlLZPOmHdpnixQtIN27t5dWLzfxui31gUCG1IMHPpMLFy4lhVL16wb124q7oBruIfWrr85L1y4DpGTJoslCqfr9xBUbJGZgD5/+4kHNaygCYyj6dPzSE1JT9T8DfAgBBBBAwEQChFQTTQalIICAdwIqpKqwqkKruqq/UEmaN2+gPa+aJUtmjxsLZEh1LEIPMTlzZpd+0V1d1hjOIVUPqN27t3O7ouzxJDq5MVSBUa0Oqyul+fVlXO4+S0h1J8TPEUAAAQTMLkBINfsMUR8CCLgVWJCwQgurZ89+rd2bMWMGqVa9okRFVdHesZou3X0pthEuIfXKlavSo/sg2bvnQ228kVXKJXv2Ul/F3bzlDdm//0DSNtuChfIn21ZsDJGqHeNWZfXZUqVLpLhKmVLAVu2pEPfDD5c93tar13Pq5OdJ86jXYZxYfXz6761aPU/eemuX9ktXz6Tqn9HvXbZ0rXa/s23HeujV71G+bds2l/bt+oixHkKq2z+y3IAAAggggECKAoRUviAIIBAWAlev/ipz5yyWt3fskU8/PZ40pvvuuzcprKowljNnNsmcOVOyMQczpKoAt27dVrcH93i7kqoClArq7do31w4EcraKaAxxjmHzwoWLSTUZQ6FxW7IKXyr06c/JOqvR3UqxHqSbNq3n0SqqMVircKwuZ1um9ed+HcOiet7VGDgdD07S2zIGdX38depUT1oN1evOnfuxpMBrdCKkhsX/jDAIBBBAAAGTCBBSTTIRlIEAAv4TOHDgM3nrzXe0wHrq1Bd3NfzQw1kld+5HJddjj0j2HNlkzNhB/uvcSUvGw4EGDOzh0TZQx8OWnBXo7pAhFcAGDx6XFCpdPQ/rGBydhTTVv2MAdbZtV/+98eOHaCuujpe7nxvv1+sqVarEXWbGsKk+o1aQHe9zFixdhVTHZ4Qd73P1lwauwrGqie2+Af1jReMIIIAAAmEsQEgN48llaAggIHL82GnZsuVt2fPufrl48Qe5ePH7u1gu/XAsaFTBOjjJGHL1VT5nq5Kehk8dyHGrruOvVb+ffPKpy6283oRUV/WqWowBXL1HVx1G5bgF2JPTfV31YVzxTp8+/V2vstE9nH2e7b5B++NERwgggAACYSpASA3TiWVYCCDgWkCtsF26+KNcuvSD9k+TpnWDyuXJll9vt/s6Po+qVgbVarExvLkLqQpBPbupgrw6edfZwUbOViL11drHHntEC3NlyjzrciuvN4cmOa4EGyfJOBb1+8YVY/0+X0Oq/gogfVzODrsipAb1jw6dIYAAAgjYRICQapOJZpgIIOBaIJjPpDquAjq+A1Wv0tuQ6hge9X68Cal6CEspSDqunBq3ChcrXkiGDZ2gbZ92NS5vTtwN9UqqY0jVQ7zxnbwp1RiqP3Oc7hsqefpFAAEEEPCXACHVX5K0gwAClhUIdkj190qqglcrmI4hyvF5SVdbjR234Lp6JtXVoUd6cC1SpIAcP37a7am9ngY7d8+k6icEu1r5dfYuVlfPpDpuFXb8SwJnfwmgvPXnjZ2dNhyqPxCE1FDJ0y8CCCCAgL8ECKn+kqQdBBCwrECgQqrjibvG1U3Hg3oc8bxdSXW839lJvs5OsvX01Fp9BdR4CrBeswqDagVVXdHRXZ0emORsfOrVNo4Oqq3EFRskZmAPUSuWzg4mcrXFVp3k63hqsXpdjCen+7oLqc4Cb0qnJTv+hUEw/3AQUoOpTV8IIIAAAoEQIKQGQpU2EUDAUgKBCqkKwfFZUcd3krqC8jakOr7DUwUz9QqVFs27JgU3PVQtXhIvb7yxOul9qo6nBOuBrF275trKqPG9oLPnTNBecWO8UgqwKX0RHG3Uvc5OLHZ8/6krQ+Mpyuqe+PjRsvT/3nvq7j2p7kKqqs3xfa3qpOYKFUone+7Xm+3MgfpDQkgNlCztIoAAAggES4CQGixp+kEAAdMKBDKkmmnQnm6z9eZwIzU+d+9GNZOBv2tJ6XAnf/flaXuEVE+luA8BBBBAwKwChFSzzgx1IYBA0AQIqcmpvQ2p+nbflA5MCtpkBrkjx4Okgty90+4IqWaYBWpAAAEEEPBFgJDqix6fRQCBsBAgpKY+pNplFdXxWVkl5ux5WTP8gSCkmmEWqAEBBBBAwBcBQqovenwWAQTCQoCQmrqQqj8D6uw50rD4YjgMwtNnY0M9dkJqqGeA/hFAAAEEfBUgpPoqyOcRQMDyAnYJqZafKAbgkQAh1SMmbkIAAQQQMLEAIdXEk0NpCCAQHAFCanCc6SU4AoTU4DjTCwIIIIBA4AQIqYGzpWUEELCIACHVIhNFmR4JEFI9YuImBBBAAAETCxBSTTw5lIYAAsERIKQGx5legiNASA2OM70ggAACCAROgJAaOFtaRgABiwgQUi0yUZTpkQAh1SMmbkIAAQQQMLEAIdXEk0NpCCAQHIHr1/+QO3fuBKczekEggAL33HOPPPDA/QHsgaYRQAABBBAIvAAhNfDG9IAAAiYXUO/6vHXrlsmrpDwE3AukTZtWIiLSub+ROxBAAAEEEDCxACHVxJNDaQggEBwBFVBVUOVCwOoCKqCqoMqFAAIIIICAlQUIqVaePWpHAAG/CbDl12+UNBQiAbb6hgiebhFAAAEE/C5ASPU7KQ0igIAVBW7dui03btywYunUjIAmEBERIWnTpkEDAQQQQAABywsQUi0/hQwAAQT8JaCC6s2bNzlEyV+gtBMUAbWCmi6d2uZLQA0KOJ0ggAACCARcgJAacGI6QAABqwmoZ1RVYL19+zaB1WqTZ5N6VTBNkyaNFkx5BtUmk84wEUAAARsJEFJtNNkMFQEEEEAAAQQQQAABBBAwuwAh1ewzRH0IIIAAAggggAACCCCAgI0ECKk2mmyGigACCCCAAAIIIIAAAgiYXYCQavYZoj4EEEAAAQQQQAABBBBAwEYChFQbTTZDRQABBBBAAAEEEEAAAQTMLkBINfsMUR8CCCCAAAIIIIAAAgggYCMBQqqNJpuhIoAAAggggAACCCCAAAJmFyCkmn2GqA8BBBBAAAEEEEAAAQQQsJEAIdVGk81QEUAAAQQQQAABBBBAAAGzCxBSzT5D1IcAAggggAACCCCAAAII2EiAkGqjyWaoCCCAAAIIIIAAAggggIDZBQipZp8h6kMAAQQQQAABBBBAAAEEbCRASLXRZDNUBBBAAAEEEEAAAQQQQMDsAoRUs88Q9SGAAAIIIIAAAggggAACNhIgpNposhkqAggggAACCCCAAAIIIGB2AUKq2WeI+hBAAAEEEEAAAQQQQAABGwkQUm002QwVAQQQQAABBBBAAAEEEDC7ACHV7DNEfQgggAACCCCAAAIIIICAjQQIqTaabIaKAAIIIIAAAggggAACCJhdgJBq9hmiPgQQQAABBBBAAAEEEEDARgKEVBtNNkNFAAEEEEAAAQQQQAABBMwuQEg1+wxRHwIIIIAAAgggJ48kwAAAAMFJREFUgAACCCBgIwFCqo0mm6EigAACCCCAAAIIIIAAAmYXIKSafYaoDwEEEEAAAQQQQAABBBCwkQAh1UaTzVARQAABBBBAAAEEEEAAAbMLEFLNPkPUhwACCCCAAAIIIIAAAgjYSICQaqPJZqgIIIAAAggggAACCCCAgNkFCKlmnyHqQwABBBBAAAEEEEAAAQRsJEBItdFkM1QEEEAAAQQQQAABBBBAwOwChFSzzxD1IYAAAggggAACCCCAAAI2Evh/pwSXL1yTHAgAAAAASUVORK5CYII=" style="width:100.0%" /></p>
|
||
<div id="安装" class="section level1">
|
||
<h1><span class="header-section-number">1</span> 安装</h1>
|
||
<div id="r" class="section level2">
|
||
<h2><span class="header-section-number">1.1</span> R</h2>
|
||
<ul>
|
||
<li>R语言是一门用于统计计算与绘图的编程语言和开源软件(<a href="https://www.r-project.org/">The R Foundation</a>)。</li>
|
||
<li>R语言是当今应用最多的统计软件之一。</li>
|
||
<li>截止到这份文档编写时，在CRAN (<a href="https://cran.r-project.org/">the Comprehensive R Archive Network</a>)上总共发行了17826个R语言程辑包。</li>
|
||
<li>除了CRAN以外，R语言的程辑包作者也在其他线上代码托管与研发协作平台发布了数不尽的作品。这样的平台包括<a href="https://github.com/">GitHub</a>、<a href="https://about.gitlab.com">GitLab</a>、<a href="https://gitee.com/">Gitee</a>等。</li>
|
||
</ul>
|
||
<p>你可以从CRAN的网站上下载R：<a href="https://cloud.r-project.org/" class="uri">https://cloud.r-project.org/</a>。 你也可以在<a href="https://cran.r-project.org/mirrors.html">这里</a>选择任意一个镜像网站来下载R.</p>
|
||
</div>
|
||
<div id="rstudio" class="section level2">
|
||
<h2><span class="header-section-number">1.2</span> RStudio</h2>
|
||
<p><a href="https://rstudio.com/products/rstudio/">RStudio</a>是针对R语言设计的集成开发环境。如果没有RStudio的话，R本身只提供一个简单的文本编辑器。如果把R语言本身比喻成飞机的话，那么RStudio便是飞机场：你不需要它就可以飞，但是有了它会极大增加效率。它包括一个控制台、语法突出显示的编辑器、直接执行代码的支持，以及用于绘图、历史记录、调试和工作区管理的工具。</p>
|
||
<p>你可以从其官网下载开源版本：<a href="https://rstudio.com/products/rstudio/" class="uri">https://rstudio.com/products/rstudio/</a></p>
|
||
<p>在本文档中，我们会介绍RStudio的用户界面和部分功能，帮助你尽快上手使用RStudio的数据分析。</p>
|
||
</div>
|
||
<div id="r语言程辑包r-package" class="section level2">
|
||
<h2><span class="header-section-number">1.3</span> R语言程辑包（R Package）</h2>
|
||
<p>R语言程辑包是R语言必不可少的部分。R语言能有他今天在统计学里的位置正是归功于其程辑包在统计计算方面的发展。一个程辑包为用户提供函数（function）、数据（data）或者插件（addins）。除了R本身自带的基础程辑包（base、utils、stats等）以外，你还可以用以下代码来从CRAN上下载并安装额外的程辑包：</p>
|
||
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a><span class="kw">install.packages</span>(<span class="st">"tidyverse"</span>)</span></code></pre></div>
|
||
<p>我们将会在这次组队学习中多次用到<code>tidyverse</code>。它其实是一系列程辑包的组合，主要提供数据清洗与处理的工具。</p>
|
||
<div id="进阶的安装方法" class="section level3">
|
||
<h3><span class="header-section-number">1.3.1</span> 进阶的安装方法</h3>
|
||
<p>当你应用R语言的能力到一定阶段之后，你会发现自己需要安装不在CRAN上发布的程辑包，或者你需要最新版本的程辑包（CRAN上的包为了保证代码的可靠性，发布前需要经过一系列的检查与测试，这就导致CRAN上的版本往往不是最新的开发版本）。以安装GitHub上发布的程辑包为例，你可以使用以下代码：</p>
|
||
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a><span class="co"># 安装remotes包</span></span>
|
||
<span id="cb2-2"><a href="#cb2-2"></a><span class="kw">install.packages</span>(<span class="st">"remotes"</span>)</span>
|
||
<span id="cb2-3"><a href="#cb2-3"></a><span class="co"># 使用remotes从GitHub上安装username名下的repo包</span></span>
|
||
<span id="cb2-4"><a href="#cb2-4"></a>remotes<span class="op">::</span><span class="kw">install_github</span>(<span class="st">"username/repo"</span>)</span></code></pre></div>
|
||
<p>我们需要先安装<code>remotes</code>包，并使用其中的<code>install_github</code>函数来完成操作。注意这里是从源代码安装，在本地编译。Windows用户需要使用Rtools作为背后的编译工具。关于Rtools的安装信息见 <a href="https://cran.r-project.org/bin/windows/Rtools/" class="uri">https://cran.r-project.org/bin/windows/Rtools/</a></p>
|
||
</div>
|
||
<div id="r与其程辑包的更新" class="section level3">
|
||
<h3><span class="header-section-number">1.3.2</span> R与其程辑包的更新</h3>
|
||
<p>在本文档编写之时，R语言已更新到版本R version 4.0.2 (2020-06-22)。当新的版本发布时，你可以使用<code>installr</code>包中的<code>installr</code>函数来完成R的更新（你当然也可以手动下载更新，如果不嫌麻烦的话）。代码如下：</p>
|
||
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1"></a><span class="co"># 安装installr包</span></span>
|
||
<span id="cb3-2"><a href="#cb3-2"></a><span class="kw">install.packages</span>(installr)</span>
|
||
<span id="cb3-3"><a href="#cb3-3"></a><span class="co"># 更新R</span></span>
|
||
<span id="cb3-4"><a href="#cb3-4"></a>installr<span class="op">::</span><span class="kw">installr</span>()</span></code></pre></div>
|
||
<p>根据对话窗口中的提示完成整个安装过程即可。</p>
|
||
<p>你也可以使用以下代码来更新R的程辑包：</p>
|
||
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1"></a><span class="co"># 手动确认是否将各个更新到最新版本，或者</span></span>
|
||
<span id="cb4-2"><a href="#cb4-2"></a><span class="kw">update.packages</span>()</span>
|
||
<span id="cb4-3"><a href="#cb4-3"></a><span class="co"># 更新所有包到最新版本</span></span>
|
||
<span id="cb4-4"><a href="#cb4-4"></a><span class="kw">update.packages</span>(<span class="dt">ask =</span> <span class="ot">FALSE</span>)</span></code></pre></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div id="环境配置" class="section level1">
|
||
<h1><span class="header-section-number">2</span> 环境配置</h1>
|
||
<div id="项目project" class="section level2">
|
||
<h2><span class="header-section-number">2.1</span> 项目（Project）</h2>
|
||
<p>在RStudio中一个项目（Project）本质上是一个把项目相关的文件储存在一个地方的文件夹。如果使用项目相关的功能的话，你不需要担心使用的文件是否在当前的工作目录（Working Directory）。 项目功能提供了一个将不同目的的文件分隔开的方式，同时自动保存上次相应的工作进度。</p>
|
||
<div id="练习" class="section level3 unnumbered">
|
||
<h3>练习</h3>
|
||
<p>为这次组队学习建立一个新的项目。</p>
|
||
<p>每次进行组队学习的时候，不要忘记去打开这个项目。在结束工作退出R，或者切换到另一个项目的时候，为了下次打开RStudio的时候有一个干净的工作环境，建议不去保存“工作空间镜像” （Workspace image，即在当前进程中加载的数据、函数）。</p>
|
||
<p>创建新的项目，可以在下拉菜单 <strong>File</strong> （或者RStudio界面的右上角）找到 <strong>New Project</strong> 选项。在弹出的对话框中，如果你想创建一个新的文件夹作为项目文件夹，选择 <strong>New Directory</strong> ；如果你想用一个已经存在的文件夹作为项目文件夹，选择 <strong>Existing Directory</strong> 。</p>
|
||
<div class="figure">
|
||
<img src="data:image/png;base64,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" alt />
|
||
<p class="caption">RStudio界面右上角的项目设置<a href="#fn1" class="footnote-ref" id="fnref1"><sup>1</sup></a></p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div id="用户界面" class="section level2">
|
||
<h2><span class="header-section-number">2.2</span> 用户界面</h2>
|
||
<p>接下来让我们关注一下RStudio用户界面里的各种面板和标签。在这一部分有四个基础面板值得注意。</p>
|
||
<ul>
|
||
<li><strong>Console</strong> 控制台位于界面左侧。你可以在这里运行命令、浏览输出结果。</li>
|
||
<li><strong>Environment</strong> 位于界面右上方。环境面板会总结出当前加载的数据、定义的函数等。现在在你看来可能是空的，因为我们还没有做任何事情。</li>
|
||
<li><strong>Files</strong> 位于界面右下方。文件面板展示当前文件夹的信息。</li>
|
||
<li><strong>Help</strong> 帮助面板也位于界面右下方。在这里你可以找到相应数据或者函数的帮助信息。</li>
|
||
</ul>
|
||
</div>
|
||
<div id="r-markdown" class="section level2">
|
||
<h2><span class="header-section-number">2.3</span> R Markdown</h2>
|
||
<p>你可以控制台（Concole）直接运行命令，但是这样跑出来的指令不会被保存下来。一般来说，我们更建议将命令写在叫做R script的脚本中，或者写在一个叫做R Markdown的文件中。</p>
|
||
<div id="练习-1" class="section level3 unnumbered">
|
||
<h3>练习</h3>
|
||
<p>创建一个脚本 R script.</p>
|
||
<ul>
|
||
<li><strong>File</strong> >> <strong>New File</strong> >> <strong>R Script</strong></li>
|
||
</ul>
|
||
</div>
|
||
<div id="练习-2" class="section level3 unnumbered">
|
||
<h3>练习</h3>
|
||
<p>创建一个R Markdown文件。</p>
|
||
<ul>
|
||
<li><strong>File</strong> >> <strong>New File</strong> >> <strong>R Markdown..</strong></li>
|
||
</ul>
|
||
<p>在脚本或者R Markdown的界面中，界面上方可以找到一个运行所有代码的按键。</p>
|
||
<p>一个R Markdown文件是一个可以将代码与 <em>markdown</em> 标准文本（一种纯文本的格式语法）结合在一起的文本文档。使用R Markdown文件可以很容易地生成pdf文件或者html文件，其中不止包含了你的文本，还有代码以及运行代码所生成的结果。点击界面上方的 <strong>Knit</strong> 按键<a href="#fn2" class="footnote-ref" id="fnref2"><sup>2</sup></a>即可。再也不需要复制粘贴、屏幕截图输出结果到Wrod了。R Markdown文档的一个主要优势是可复现。只要有了同样的代码和数据，你可以获得与其他人一模一样的结果，只要生成文档就可以了。</p>
|
||
<p>在R Markdown文件里写代码，需要使用特定的代码块（code chunks）来告诉R Markdown这部分是需要运行的代码而不只是文本。<a href="#fn3" class="footnote-ref" id="fnref3"><sup>3</sup></a></p>
|
||
<div class="sourceCode" id="cb5"><pre class="sourceCode markdown"><code class="sourceCode markdown"><span id="cb5-1"><a href="#cb5-1"></a><span class="bn">```{r}</span></span>
|
||
<span id="cb5-2"><a href="#cb5-2"></a></span>
|
||
<span id="cb5-3"><a href="#cb5-3"></a><span class="bn"># 在这里写你的代码</span></span>
|
||
<span id="cb5-4"><a href="#cb5-4"></a><span class="bn"># 使用三个反引号和 {r} 起始，三个反引号结束来构建代码块</span></span>
|
||
<span id="cb5-5"><a href="#cb5-5"></a><span class="bn"># 在代码块里使用井号 # 写评论（纯文本） </span></span>
|
||
<span id="cb5-6"><a href="#cb5-6"></a></span>
|
||
<span id="cb5-7"><a href="#cb5-7"></a><span class="bn">```</span></span></code></pre></div>
|
||
</div>
|
||
</div>
|
||
<div id="帮助" class="section level2">
|
||
<h2><span class="header-section-number">2.4</span> 帮助</h2>
|
||
<p>R能够发展到其今天的地位，很大的一个因素是他提供了相对详细的帮助文档，对初学者相对友好。一个相对完整的R包最低标准便是有函数的帮助文档。需要查看一个具体函数或者数据的帮助时可以用<code>?fun</code>（等同于<code>help(fun)</code>），该函数<code>fun</code>的帮助文档便会出现在之前提到过的帮助面板里。这个是已经知道需要什么函数了之后查找具体函数的用法的方式，如果你不记得具体的函数名字，可以使用两个问号加关键字来搜索：<code>??keyword</code>。</p>
|
||
<p>其次R包会有一个或多个vignette。vignette文档的目的主要是当使用者不知道用什么函数，对这个包不了解的时候提供一份入门简介一样的东西，一般会对常用的函数做出说明和演示，以及一些理论的阐述。这个包如果是哪一篇论文的副产品，vignette甚至有可能是这篇论文。根据包的大小不同，vignette的数量也不一样。如果是针对于一个问题写出的精炼的小包的话会只有一个vignette。如果包的用途比较广泛或者作者想说的话比较多，会针对每个问题有一个单独的vignette。浏览所有已安装的vignette用<code>browseVignettes()</code>，查看具体包的用<code>browseVignettes("packagename")</code>。以上两个是通过CRAN发行的包的标配。</p>
|
||
<p>如果这个包没有在CRAN上发行，只在GitHub上，或者GitHub上有开发版本的话，一般会有一个<code>README.md</code>的文档。这个文档相对于vignette来说更加简短，一般都只写明如何安装，以及最主要的命令的演示，没有太多的说明。文档最后有可能会说明这个包用的是什么许可证。如果有这么一个文件的话，就可以很快速的知道这个包最主要的命令是什么。这个文档就需要到相对应的R包的资源库搜索了。</p>
|
||
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1"></a><span class="co">## 总结 查看具体函数的帮助文档</span></span>
|
||
<span id="cb6-2"><a href="#cb6-2"></a><span class="st">`</span><span class="dt">?</span><span class="st">`</span>(fun)</span>
|
||
<span id="cb6-3"><a href="#cb6-3"></a><span class="kw">help</span>(fun)</span>
|
||
<span id="cb6-4"><a href="#cb6-4"></a><span class="co"># 在帮助文档中搜索关键词</span></span>
|
||
<span id="cb6-5"><a href="#cb6-5"></a><span class="st">`</span><span class="dt">?</span><span class="st">`</span>(<span class="st">`</span><span class="dt">?</span><span class="st">`</span>(keyword))</span>
|
||
<span id="cb6-6"><a href="#cb6-6"></a><span class="co"># 浏览所有已安装的vignette</span></span>
|
||
<span id="cb6-7"><a href="#cb6-7"></a><span class="kw">browseVignettes</span>()</span>
|
||
<span id="cb6-8"><a href="#cb6-8"></a><span class="co"># 查看具体包的vignette</span></span>
|
||
<span id="cb6-9"><a href="#cb6-9"></a><span class="kw">browseVignettes</span>(<span class="st">"packagename"</span>)</span></code></pre></div>
|
||
</div>
|
||
</div>
|
||
<div id="happy-coding" class="section level1">
|
||
<h1><span class="header-section-number">3</span> Happy Coding!</h1>
|
||
<p>这次的R语言数据分析组队学习的入门篇便到这里了。接下里请移步组队学习的正篇第一部分：数据结构与数据集。</p>
|
||
<p>玩得开心！</p>
|
||
<hr />
|
||
<p>By: Fin</p>
|
||
<blockquote>
|
||
<p><a href="https://yangzhuoranyang.com" class="uri">https://yangzhuoranyang.com</a></p>
|
||
</blockquote>
|
||
<p>关于Datawhale： Datawhale是一个专注于数据科学与AI领域的开源组织，汇集了众多领域院校和知名企业的优秀学习者，聚合了一群有开源精神和探索精神的团队成员。Datawhale 以“for the learner，和学习者一起成长”为愿景，鼓励真实地展现自我、开放包容、互信互助、敢于试错和勇于担当。同时 Datawhale 用开源的理念去探索开源内容、开源学习和开源方案，赋能人才培养，助力人才成长，建立起人与人，人与知识，人与企业和人与未来的联结。 本次数据挖掘路径学习，专题知识将在天池分享，详情可关注Datawhale：</p>
|
||
<p><a href="https://camo.githubusercontent.com/8578ee173c78b587d5058439bbd0b98fa39c173def229a8c3d957e62aac0b649/68747470733a2f2f696d672d626c6f672e6373646e696d672e636e2f323032303039313330313032323639382e706e67237069635f63656e746572"><img 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" alt="logo.png" /></a></p>
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</div>
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<div class="footnotes">
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<hr />
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<ol>
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<li id="fn1"><p>小提示：如果想要改变RStudio的主题颜色，可以通过 <strong>Tools</strong> >> <strong>Global Options..</strong> >> <strong>Appearance</strong><a href="#fnref1" class="footnote-back">↩︎</a></p></li>
|
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<li id="fn2"><p>如果你想要生成pdf文件，你需要安装<a href="https://www.latex-project.org/">LaTeX</a>。可以看看很好地兼容了R的<a href="https://yihui.org/tinytex/">TinyTex</a>。<a href="#fnref2" class="footnote-back">↩︎</a></p></li>
|
||
<li id="fn3"><p>R Markdown的更多语法可以看看 <a href="https://rstudio.com/wp-content/uploads/2016/03/rmarkdown-cheatsheet-2.0.pdf">R Markdown cheatsheet</a>。<a href="#fnref3" class="footnote-back">↩︎</a></p></li>
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||
</ol>
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||
</div>
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</section>
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