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README.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" 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<body>
<!-- README.md is generated from README.Rmd. Please edit that file -->
<h1 id="virgo">virgo</h1>
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<p><a href="https://codecov.io/gh/vegawidget/virgo?branch=master"><img src="data:image/svg+xml;base64,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" alt="Codecov test coverage" /></a> <a href="https://github.com/vegawidget/virgo/actions"><img src="data:image/svg+xml; charset=utf-8;base64,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" alt="R build status" /></a></p>
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<p>The <strong>virgo</strong> package enables the creation of interactive graphics for exploratory data analysis. It is an <em>idiomatic and opinionated</em> R interface to the grammar of graphics implemented by <a href="https://vega.github.io/vega-lite/"><strong>Vega-Lite</strong></a> which defines the following elements:</p>
<ul>
<li>aesthetic mappings/encodings via <code>enc()</code></li>
<li>graphical elements like <code>mark_point()</code>, with the <code>mark_*</code> family of functions</li>
<li>interactive objects, such as brushes (using <code>select_interval()</code>) and sliders (using <code>input_slider()</code>), via the <code>select_*</code> and <code>input_*</code> family of functions</li>
<li>interactive calculations, for example mean (using <code>vg_mean()</code>), via the <code>vg_*</code> family of functions</li>
<li>data transformations on selection objects for rich interactivity, with {dplyr} verbs</li>
<li>plot composition via faceting and concatenation using <code>facet_views()</code>, <code>hconcat()</code> and <code>vconcat()</code></li>
</ul>
<h2 id="installation">Installation</h2>
<!--
You can install the released version of **virgo** from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("virgo")
```
-->
<p>You can install the development version of <strong>virgo</strong> from <a href="https://github.com/">GitHub</a> with:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># install.packages("remotes")</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>remotes<span class="sc">::</span><span class="fu">install_github</span>(<span class="st">"vegawidget/virgo"</span>)</span></code></pre></div>
<h2 id="get-started">Get started</h2>
<p>For most graphics using <strong>virgo</strong>, you start off by passing data to the <code>vega()</code> function, add graphical elements with marks like <code>mark_point()</code>, and specify variables within a mark using encodings <code>enc()</code>. You can add more layers by specifying additional marks like <code>mark_smooth()</code>, or include small multiples with <code>facet_views()</code> or combine plots or add interactive elements with selections.</p>
<p>Let’s see an example, here we show how we can compose a simple scatter plot and gradually build up to a scatter plot with brushing, to a side by side scatter plot.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(virgo)</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(palmerpenguins)</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>p <span class="ot"><-</span> penguins <span class="sc">%>%</span> </span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">vega</span>() <span class="sc">%>%</span> </span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">mark_circle</span>(</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">enc</span>(</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> bill_length_mm, </span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> bill_depth_mm</span>
<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a> )</span>
<span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a> )</span>
<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a>p</span></code></pre></div>
<img 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ECpVDJlyhTGjBkjHo+MjGTAgAGcPn2aPn36kJeXVy6hCaVSKQrSfPfdd3Tv3h3Ij2nv2LGDjh07kpSUxKFDh8RzrzvLli0jKyuLwYMHs2jRIvH44sWLUalUbNmyheXLl2uck6jcSJVwlYQ+ffqwadMmTp48yY4dOxg2bFi5zuzUNR7UMTAwEJ/u165d47fffuPKlSusWbOGDh06lJnyWVpaGqmpqdjZ2Wk5WDMzMwYMGABULt0JwdahQ4dqnRPGXR/9B4nKg+SAJV6Js2fPsmvXLiB/9hkXF0dMTAze3t48fPiQsWPHkpGRUcFWSki8nkgOWALI1wqOiIjAy8uLNm3a4Ovry+7du8Xzgn5DZGSkxvsWLFggboANGjSIBg0a4O7uTmRkJJ6enty7d++VNYZ14eDggKOjIw8ePGD//v0a57Kzs9m6dSugv17C64Bg64YNG7TOCePu5uZWniZJlDGGs2bNmlXRRpSUyjKzsrKyeq1tffz4MQMHDmTz5s3cuXOH9PR0UlJSOHDgAFevXqV79+44OTmxfft2Tp8+zbNnz7C1teX27dt8++23qFQqHB0dCQsLw9TUFMgvAKlSpQr79+/HysqKjz76qFRtlslkyOVy9uzZw9GjRzE1NeWtt97i8uXLfP7559y4cQM3NzdCQkIwMKjYeYa+33+DBg3YsmULiYmJpKam4uDgwP3791mwYAFbt27F0tKSlStXYmNjU+G2vg5UNlt1Ic2AJTSaNu7evVtn08bmzZvz1VdfAbBixQq8vb3p3bu3qHgWFhZW7pqyfn5+jBgxgpycHGbPnk3btm0ZPHgwFy9erJQFJu+++y5hYWFYWFiwZcsWunXrRrdu3UTnGxYWRq1atSraTIlSRMqCqKSoF0QYGRlRpUoVFAoF2dnZyOVy/Pz8SE5OZv/+/aLM5IABA7TKWgs2bXR1dSU1NVWraWNubi6//PILDg4O5ObmYmRkRNWqVfn777/566+/uHjxIm3atBGvq1QqxaV0WYYBSqvApCxJTk4mJCREr8IKHx8fmjZtyvLly0lMTATy0w2DgoI0nK9CoWDDhg0v/X4lXm/KPQ84OzubKlWqlMqysDLlAJamrYUVROhDly5dWLVqFcbGxgD8+OOPTJo0iYEDBxIWFqZla9euXbl8+bLWdWQyGcOHD6dnz5707dsXAwMDRo0aRZ8+fcjIyGDZsmXExcVRs2ZNYmNjy2R2XBnyQPfu3cuECRPIzMzUOP4qhRWPHz9m6NChOjMiCn6/xaUyjKlAZbNVF+UWgkhPT2f16tXs3LmTzZs3c/ToUTIzM1m/fj0bNmxg+fLlnDt3rrzMqbScPXuWuXPnAjB27FicnZ0BsLa2BqB69eriMciXmNQVUtAHhUIhylbWq1dPZxPPO3fu6AxNxMXFYWdnx8qVK/+17W5SUlLEqrbBgwdz6NAhDh06hK+vL1lZWXzxxRfcuXOn2NdVDxlFRESU+PuVqHjKbQZ89OhR8vLy6Ny5M7m5uXzzzTc0a9YMmUxGly5dePr0KcuWLWPSpEmYmJjodc3K9PQrLVs//vhjzp49y7Rp06hTpw4BAQHI5XIOHTqEn58fp0+fBsDc3Jzs7Gzs7e05d+4cMpmMS5cu0bNnT2QyGZcvX8bKyoqrV6/SuXNnrK2tOXbsGG5ubqKt4eHhhIaGIpPJSExMxM7OTrRj//79BAQEiNe/cuUK33//PdeuXcPU1FQsxNCndXpJeR1mQEWFAr788ku2bNnCp59+ytdff63xPuGcUHSxc+dOtm/fzr1797Czs6NHjx74+flpxbCF78vGxoZjx45ptJoXvl+VSoWrqyuPHz8udmjidRhTfalstuqi3GLAXl5e4n/fuHEDKysrsrKyeO+994D8XUKZTEZGRgbvvPNOeZlV6VAviBCabA4YMAALCwuGDh0qOuCePXsSFxdHWloa9+/fx97enqZNm+Lq6kpCQgJXrlzB09NTbNoYHR1N3759WbJkCba2tiQkJBAWFgZAq1atNJwvIDbxFK7fpEmTIoXh30R0hQKSk5M5efIke/fu5Y8//gBg9OjRWu/18/MTMx6GDx+u0fEkOTmZM2fOsGvXLq2OJ0IcuWvXrhrOF6BmzZqYmpqSlZUlribV7XmV0IRE2VBuDtjY2BiFQsGRI0dISkqiT58+JCQkiE94IW2pYCfdBw8e6PzDbteuHe3atSsP00uFwp6AxUUYHwcHBywtLYH8h5ejo6PGH6q5ubkYZ7ezsxPvL/wBVqtWTTwWERHB/fv3OXPmDH379tW6Z+fOnXXar+v65U1F3Rdg/PjxJCUlUa9ePRYuXEijRo34+eefmTx5MocOHdJ4aBW086+//gLynfj169epXr06CxYsoFWrVly9epWJEyeSlJTE3Llz2bx5s/g+QffD3Nxc65rjx48XRXzmzp3LgAEDNOyJiIjQkCItjIoc0+JSmWzVRbmFIHJzc9myZQuGhob4+PhgbW1NbGwspqamtGnTBqVSycKFC5k8ebKWEy6MyrT8KC1b+/bty5kzZ2jatCmPHj3i3r17WFpaEhMTw7Rp0zhz5gyQX46bk5ODg4MDCQkJyGQyLl68SM+ePTEwMBBDEAJ5eXlERUVx+PBh7t27R82aNalfvz5r1qyhTp06xMbGYmZmJr5+3759fPbZZxrXL28qcgmqTyhAqVSiVCoZOXKkluP74osv2Lp1KwYGBhgYGOjd8US4r5mZGU2bNuXhw4fY2dnh5uYmTlSMjIy4cuWK+P3qCj0VRsExffz4sdjZ5MWLFzg7OxMYGKjVIKAikEIQxeD8+fMADB48WDzm4OBAfHw8bdq04fLly1StWrVC/pArEx9++CFnzpzR6JabmZmJt7c3KpUKe3t7qlatyrVr14D8tuPJyckkJCQwb9488vLyCA4O1vojNDQ0ZPjw4YSEhIg/6ry8PM6dO0dSUhL9+vVj8uTJODo6Ehsby5IlSwCYMmXKv/I7KyoUoB7qqVKlChEREWRlZWmom23dulV8SHp4eOjd8aR+/frY29uTlpbG2bNngf+FLASCgoI0vl9doSd9iI+PJyAgQKO332+//caBAwcICQkhICBA3+GSKIRyc8B3797l999/19iMCAgIQKlUsmTJEp4/f84nn3xSXuZUSlJSUvj++++B/OW/ett3YSGTlpZGWlqaeHzdunWsW7dO/P9u3brp3X7I0NCQ5cuXM3ToUC5cuICvr694TiaTMXLkSPr16/dKn+lNRfg+xowZw6pVq9iyZQtbtmwRz1taWjJq1CgWL1780muoExYWRlpamtjFuiDm5uY6v9/iLnQzMjIYM2YMDx8+pGPHjgQHB2NhYcGePXv4/vvvmTNnDi4uLuWuAf2m8VroAaenp2NtbV3sqqXKtPwoDVvVd86HDh0qZh0YGxtz//59/v77b6ytrfH09BQLMfbt2yfuzg8cOJBevXoV21ahiWdcXBxPnz7FycmJ4cOHaxRelBbF6bjxOoQghOwRe3t78VzBUI+JiQnTp08nMTERlUqFlZUVCoWCJ0+ekJKSIoYgCnY8adeuHRkZGWIIQr1Ja0xMDImJieL3a25uLuZrb9myReO7KSr0VBBhTJcvX84333xDq1at2LZtm8YqZ8WKFcyfPx9PT0927NhRamNaXN6EEMRr4YBLSmUa/NKw1dvbm+vXr3Pw4EGtJeulS5fo1q0bDRs2JDY2tsT3qMgfdXE7blT0H2BgYCDR0dHUqVOHkJAQGjRoIIZ6Hj16xPjx45kwYYJoZ1EFFCYmJoSGhtKiRYtCO56cPn2afv360bx5cw2hJAFPT0/u3LlDtWrVmD9/fqH2FIVg66effspPP/3EqlWrtIpFMjIycHZ2xszMjFu3br3CCL4aFf39F4cKjwFLSBSFUGBiYGBAcHCwVseNsWPHlnvHjZcRGhrKn3/+SWJiIv7+/hrndIV61Asopk+fToMGDThz5gzTpk3jxYsXTJw4UeP17u7uhIaG6m2Pq6srd+7c4e+//9bLHn2oxPOzSoEkxlOJeBW5wkuXLjFq1Cjat29Ply5dmDVrFo8fPy4zW4uL0HFj0qRJTJ48udxkLUvKpUuXmDp1KpmZmTg4OODg4ECdOnVo27Yt4eHhrF27FiOj/81vBM0NY2NjlEolK1asYPfu3fTp04fo6GgMDAxEhTdPT09CQ0PZvXu3Rrupgk1a1UlLSyMuLg7Ir5Bs2bIlTk5OhdrzMgT50Q0bNmjsNQCsX79e4zUSJUcKQZQDpbVUEnqGZWVlMWjQIK1ddUtLS2JjY7UUs4qztK+oZZ2TkxPPnj3jxo0bYn6zQExMDKNHj6Z79+6sWbNGPF5RtpYkVNK6dWt++eUXrWsJzUPHjx9PQkICO3bsKDJLoaybtApjmpGRgbe3N/fu3aNDhw58/vnnWFpasmvXLlatWoVKpWLnzp00a9asxPd6VaQQhES5IsgVfvHFFzp31XXJFVbGpf3rTEnGMzIyUnS+rq6uLF26VKN5aFBQkN7iVOPHj+fGjRscPHiQL774QuNccUMWRWFlZcXKlSvx9/cnLi5OnF1Dfp7xjBkzKtT5vilIDvg1ICUlhWXLlpWqXKGAPs00o6KiNM6VBCF7ISEhgczMTAwNDalbty69e/fWqWlQEBcXF86cOUNkZCRjx44Vj5eXrKW+COM5bNgwbt++zahRozAxMaFly5Y0a9aMhIQEoqKi+Oyzz0SNCCEHHuD333/HwsKCDz/8UKN5qIGBAcbGxjRu3Fh87fHjx4mMjBRlNjt06EBgYGC5NWlt1qwZx44dEwsxnj9/zvvvv8/o0aM17JQoOVIIohwoaqm0d+9eUTFLnVeRK1SnuEv7kizrXiaP6erqqqVpUJD4+Phiy1pWxBJUGE8jIyOtz2ttbc3Tp0/p2LEjjx49KrSBpnrWxPz58/npp58ANLIUQkJC2LBhg9YmmBCykMvlZfDpKt+yvjLZqgtpE64CEeQKs7OzS1WusDwRluTCRk3VqlUZN26cGMc0MjIiKSlJbCFfGIV13HjdZC3VN6SCg4M1mpA+ffoUgMuXL4vZDkILeSsrK1Fk6o8//sDf3x8vLy/R+b733ntilsK2bduIjIzE3NycWbNmcfLkSbZu3YqLiwvJyckEBQWRl5dXnh9booyQHHAZcvz4cYYNG4azszM+Pj6EhYXx7Nkz8fyyZcvIysrC19eXRYsW0bhxYxo3bszixYsZNGgQWVlZLF++XLyOl5eXzusURWHNNEtraR8aGipqHshkMpo2bSqW0Hp6eqJQKKhSpQrR0dFieXRh+Pv7s2/fPnr16kX9+vVp0qQJAQEBxMXF4eHhUej7XmV8iovQ865NmzYa2Rrr1q0TNZnv378vdhjx9fXF0dGRjIwMRo0ahaGhoSg8VaVKFVEcadq0aRgZGaFUKvnmm28A+O677/D398fJyUkMWdSpU4ekpCQOHTpUJp9PonyRQhBlhD5LSH0KK6pWrcqTJ09KvBQt7tK+OMu6+Ph4Pv74Yy3bjIyMCAkJwd7entGjR1OzZk3u3r3LokWLNLRAXhVHR0eGDx9erkt1uVzOixcvMDQ0ZPTo0VrjKSB0GAE4cuQIw4YNw9DQUOfM1cLCgl9++YVq1aqRmppKs2bNsLOz0xnCWLp0KQsXLmTMmDFMmzatVD8bVL5lfWWyVRfSDLgMKLiEvH79eomXkOnp6a+0FC2rpb2gFaDu+Bo3bkxQUBCQ36utrKukIiMjy32pLmQryGQyrfEUZsAF8fPz44MPPtBpi7GxMVlZWeJ3JPHvQnLApYyuJWSDBg10LiF1FVYoFAoiIiIYOnSoeMzX11dcir7//vu4urpiYmJCUlISffv21dmzTZ2SLu2LIjIyktTUVNHpGBoacv36dbp3787EiRNRKpXixp6gplWaWQxKpVKMK5fnUl0I6QwZMkRjPP39/alfv774up9++kkURUpPT+fq1atisYVMJuODDz5g4sSJnDhxAmtrazFE4+DgQPXq1Xnw4AH79wURM9EAACAASURBVO/XuHd2djZbt24FXo+MEIlXR3LApYzQIcLOzo7u3btrnDMzM2PAgAEAYv6nhYUFmzdv5ssvv+TUqVN07tyZr776SkMCcO3atYwYMYJffvmFDh06sH79el68eAFAQkICPj4+rF69uki7hI4Vx44d4+DBg8ycOfOV2gUJnTk+++wzDAwMUKlUKBQKfH19xQq7p0+fYmRkxPPnz+ndu7coqVgapKWlkZqaqtc4lyaTJ0/GwMCAjRs3UqtWLVEZ7Pfff+fcuXPUrFmTHj168PTpU/r27cuBAwfYt28fCoVCHKdx48Zx4MABxo0bx7vvvkvXrl0BSEpKQiaTMXXqVADGjRvHqlWruHXrFidOnKBfv36kpKTg5uZG586dS/VzSVQMkgOuQITCCgsLC7Zs2cLAgQO5ceMG8L/NHisrK7HZ4ogRI0R5QEG6093dHchf8sfHx5f7Z3BycuKrr74Sl+ZPnjxh1apV4nmFQlGqBQIVjT4hnQULFuDm5iZmOwirGYVCoVOToWD8un///owYMYKcnBxmz55N27ZtGTx4MBcvXsTJyYnly5eXar6vRMUhOeBSRt8l5PPnzxk0aBALFiygfv36vP/++0D+Uv7jjz/m+PHjVK9enYyMDHGWmZGRQYsWLQgPD+fUqVNAfr8xYckfGBhIly5daN++PaNHj35paOJVUNcKGDlypBjicHBwEJuqWllZaWga5OTksGTJEnx8fGjbti3Dhg3j5MmTJbq/g4MDjo6OFbJUf1lIp2rVquzZs4e5c+fSsmVL6tWrh0wmE6vn1DUZ0tLSOHjwIACbN2+mTZs29O3bF7lczg8//EDnzp2pW7cubm5uTJw4kcOHD1OnTp1S/0wSFYOUBVEGbN++nXHjxmFubs6ECRPw9fUlKSmJBQsWcPHiRWxsbPjnn390vrdPnz6sWLFC6zoqlYqcnBz69u3LrVu3uHjxIm5ubuzZs4f//ve/OsXshWyE4nQu0HdnubhaAcnJyQwdOpTbt29rXEcmkzF8+HDmzJmjt40CQnaBMM6CPcI4C+NT0bNFR0dHxo0bV6SGgy70KWApC1tf17+rglQ2W3UhOeAyYsaMGaxfv15reVm1alXS09OxtbUlJCRE/EOcNGkSjx49onbt2mJn46Ku4+TkRFRUFO+88w7t27fnr7/+wtDQkN27d2t0LlAqlezcuVPvzgXF+VEnJCTg7++vEa+GfMc/ffp0URJRoVDQq1cvLly4gKurK1OmTMHBwYGjR4+yaNEisrOzWbp0abG7azg6OjJy5Mgix+d1mC06OjqSkpLCqFGjxNluQapVq8b06dPF38OcOXP4448/6NWrV7l2m65sTq0y2aoLyQGXISdPnmT9+vXcuXMHc3NzWrduLbYUKtiE8cSJE2KObMGOBpGRkUyfPh2VSoWFhQXOzs7k5OSgUCgwNDQUCxwKdih4WecCXRoUoaGhYvxZncKaM9asWVM8/vjxY/Ly8jAyMsLW1lbULjh69CgBAQHI5XKOHDmi0dxz//79BAQEYG9vz7lz54rVX074AxTGWdBM8Pb2ZtSoUVSpUkXva5Ul6o5C0HBISUkhJyeH+/fvI5PJ8PLyYurUqeJvorCmnOVp6+tOZbNVF5IDLgeEH4q+HQ3eeecdvvnmG62OBubm5mRnZ+u8h0wmY/fu3RoKVUV1LihMg8LS0lKM0wroas4ImiGOogpPPD09+fHHH5k8eTLBwcFatru4uPDw4UPOnz+v0drnZVSWP8CCduoznpCvDbFt27ZSL2Apjq2vM5XNVl1Im3CvEcKG0aNHj0StgC+//JJHjx7RqVMnzM3Ni3y/vs/SojQoMjMzNTQoCjZnjImJ4ejRoxoFF998802RBRH6tkiqxHMBvVEfTyGDpUmTJhrjKWSz/BvG49+OJEepB8WRiyyKgh0NCjZhVO9ocO7cOY1mmnfu3OHIkSM0b94cFxcXUR7QyMiIX3/9FZVKxcKFC8VQw86dO8VSWGNjY9atWyfKQgoaFIMHDxbFYgAWL16MmZkZ69at4+uvv8bY2JjTp0/z999/Y29vj4ODg9g+x9nZmSFDhrB+/Xox7ey7774Tc3KdnJxEucU//vgDgK1bt9KvXz9Wr14thjKsra15+PAhDg4OxZr9vm4UFqIpWGIuFLDUqlWL3NxcZDIZV65cYcCAAbRv354jR47g6+vLBx98IOZab968me+//x47Ozt69Oihl7ynROVACkG8hNKQi1RfKpW0o0FhTRIzMjI0NuG2bdvGkiVLdHZfEHbV+/XrV6gGxV9//YWHhwcymeylMzB1ScaXaRdUr16d+/fv65RxBM3sD315XZagLwspzJo1S7TT19e3xKl3AmWZHfG6jKk+VDZbdSGFIIqgLOQix48fT9euXfn777/54osv8PLywt/fn5SUFL0KFgo6RSsrK5YsWQJAXl4effv2FZ2voaEhwcHBREREiKW5L5OFVHeiwcHBWu1xbG1tiYmJEZfM+tK2bdtCna+BgQHR0dEVUkjyqugTohFythUKhTirlcvlbN26lbi4uJdqcXTp0oVTp04V63uUqBxIIYgiKGqprlKp2LJlC8uXL9c4VxCFQsGyZcvYtGmTGFIYMGAAPj4+xepo4OLiwk8//URoaCirVq0iIyMDuVzOiBEjxD9qe3t77t+/D+Q7vKlTp4qdC1xcXGjfvj3R0dF069aN69ev8/nnn2NsbMyLFy+wtLREpVKJzR7Nzc05fPiwRt6ugYEBDx8+ZO3atXz//fdcunSJEydOIJPJxIKIHj16iK9XL4hQKBQoFApq1aqFra0tT58+xcnJieHDh3Px4kXmz5+vEUIpLgqFgg0bNhAdHc2tW7fIy8vD0tKS5s2b6wwFlBZCSKFVq1ZERkaKWRxTpkzB0tKS+fPnM336dDZt2sShQ4fE/G87OztatWrFtWvXyMjIwNTUlOfPnwP5D1X1zda4uDiWLl2KXC7X+B6DgoLKLTtComyQHHARCDFfdWEcAT8/P7Zs2VJo1wPIjwsOHTpU4zXJycmcPHmSLl26sGHDBlEP9mW0bduWRYsW8eeff/Lnn38CcOvWLY4cOYKBgQGGhoaMHTuW6dOn07x5c3788UeN99vb24s6ve+88w4ymUwse9ZFVlYW169f1zgmiJHHxMRw8eJF7t69C+TPtBUKBePGjePu3bsaBRGCdoHgUKZPn64VtnFxcRH7o5UEXeMMkJmZSUxMDAcOHCh2QYq+CA8/Pz8/rRQ6Pz8/5s+fT0JCAvC/35O1tTVnz57Fz89PdKDvvfeemE44evRoFi5cSPPmzVGpVCQkJHDlyhU8PT01vsekpCTJAVdypBBEGTJt2jSSkpKoV68eERERnDp1im+//VbUdvjuu+/0uo5CoWDKlCkoFAqdrcWVSiUfffQRzs7ORV5HCF/s27cPlUpV5EaOUE5cGCkpKeL1jI2NX6pdIDinsthyEMZZGJtWrVrx+eefizFSpVJZ5loZxflcPXv2xNbWlri4ODHery5W7+TkVOR1K/G2jUQBJAdcBLrkIgWEDhNubm4633v16lX27t2LjY0Nx48fp2vXrsjlcgYMGMDGjRsxMjJi5cqVZGRkaLxPkKP8+OOPadOmDb6+vsyZM4cLFy4gl8s5c+YMAQEBNGnShPr164sVbqdPn+b999/XyLJQ115o3bq1mHv85MkTatWqRb169cT7Vq9eXWyZI9ihjnrxRMGZnouLC3PmzGHTpk2Faheoa0eot/UBWL9+vXid4iKMc5UqVVAoFLRq1Ypt27YxadIkNm3ahJGRETKZDKVSycKFC4t9/Zehz+d6++236dKlizj+x44d46effsLX11eU8xTG1M7OjjZt2mBsbMz58+dJTEzE2NiY48ePa32PkiRl5UfKgiiClJQUOnXqRFZWFoMGDcLPzw/Id75bt27F0tKS2NhYnd2If/zxRyZNmsTAgQPZsmWLlq29e/cmISGBHTt2iBtdhS2lBSZMmMD48eO1jqsXMkRFRbF06VKqVq2KkZGR1s58YchkMmxsbHjy5EmRrzM0NKRdu3YcPXoUyI8L79q166UtyourHaEPjo6OLFq0iEmTJoldNwpmiQjjDOgsSHlVivpc//nPfwoVhK9atSo5OTlarZOMjIz46quvOHnypJg/XVgBzogRI0qkoVEUlS2zoDLZqgtpBlwEBeUiu3XrRrdu3UTnGxYWptP56oOu556wlJbL5RohC2H2qSu1rOA1x48fT5cuXUhPT9dyvjVr1hRnWra2tsycOROA2rVrY2Zm9lLnC/mZFoLzhfz4uD5O08rKipUrV4pL7169euHt7S0uwWfMmFEs51sYBce1rOcXRX0uwfn6+PiI2RFDhgwB8kXadfWtUygUfPXVVxrFKwWdb82aNcV87ZJuWkq8HkgzYD24c+cOy5cvJzExEcjX4A0KCirS+V69epXOnTtjbW3Nr7/+qrFsv3jxIj179sTAwIDLly9jZWUlvt7GxoZjx45RvXp18fXh4eGEhoYik8lITEwkJydHLAzJyMjg3r172NnZkZiYiEwmE/UVzMzMsLOzIycnh8zMTF68eCGGFoyNjUlKSsLV1RWVSsXkyZM1UuAMDAzEJbVcLsfQ0FCcPQo5woaGhly9erVYLY3S09PFgoXnz5/z/vvvM3r0aDFbozg8e/aMwMBADh06JNrk5uZGdHQ0BgYG4jhD/oOjME2M0qDg5xIKZJo1a0br1q2JjY0VCzR+/fVXbt26hbGxMe+++y5OTk74+flx48YNFi9eTFZWFkZGRjg6OnLnzh3MzMxEmVMhW+bgwYMl1tAoiso2q6xMtupCcsBlSGBgINHR0dStW1fsoKuu7TB+/HgmTJgAaIYshAo2gby8PBo2bEhWVhb29vY8efJEa/ZkamrKsmXL8PHxITQ0lPDwcD755BP27t0rtksviLOzM02bNmXbtm2YmZmRk5MjnjM2NiY3N1e89vPnzzWOARr2lzd79+5lwoQJZGZmap2rV68eXbt2ZePGjTx58kRsBVTcEMerIBTOWFtba42/8LAwNTUlOTkZKFyuE/If+DExMVrHS6qhURSVzalVJlt1IYUgypDQ0FDc3Ny4deuWlraDrs4IhWFoaMh7770H5JcsqztfmUxG/fr1ef78uVZhSHR0tPjH37lzZ7p06aJx3evXr7Nt2zYADecLaDhaIT9V/VjHjh31tr+0EQpkhBzt7du3a2SA3Lx5k+XLl4shFQMDg1ILceiLsNJ4+vSpRghCvYBFWGEoFAqCgoK4ffs2DRo0APIzIVq3bg3A+fPni5y5V+I51L8eyQGXIUJnhOXLl9OyZUucnJxo27Yt4eHhrF27ViOlTNhNF5o5Pn78mFmzZtGlSxc8PT25cuWK2PanWrVq1K1bl3r16mFtbc3vv/+OTCYjKyuL3r17i/3ihNnh4MGDGT9+PI8ePdKy8e2336Z+/fpi6pP6bry1tTXGxsYYGhpiaGgonjMzM+PKlSu0bt0aHx8fwsLCdMYzywqhQGbkyJEsWrSIVq1acfjwYebOnUu1atWA/Bm8g4MD7u7uNGnShKioKPr27cu6detKvVOyOpcuXWLUqFFivN7ExIS1a9fi7u6Os7MzU6ZM0QgvARw6dEjMchEKRlq2bClu+gLMmzdPw9Hu27fvjdDQ+LcjhSDKAX2XSkLIwt7enuzs7EJDBwcPHmTcuHFahRLqqIcLunfvzqFDh3Q6nho1ajBixAiWLFlCdnY206dPJzQ0tNizqvfee4+oqCjkcnmx3lcSvL29uX79us6l96VLl+jWrRvOzs7Url2bw4cPa72/rLQUVq1axbx587RS+ExNTZk1axbNmzfXyo4YNGgQeXl5bN++nSZNmnD58mUxu8bR0ZFevXqJWTHh4eE0atSI2NhY8fsqiZB9UVS2ZX1lslUXkgMuB/T9oaSnp/PJJ5+I1VXqODk5kZycjEqlokWLFpw9e1Y8Z29vT5MmTThy5AhAkUI6MpkMc3NzLXEhmUzGiBEj8PPzo23btkU64CpVqtCsWTN++eUXlEoldevW5ebNm7i6uhIdHV3mSl36OOBq1arx999/a3UeKatOE2fPnqVfv34YGBgQGBhIYmIip06d0ql/UZgmBiBm1wgl3bdv36Zt27ZaD0/h+5o9e3apfQaofE6tMtmqC6kUuYIQtAv279+voRHRtWtXLl68iKmpqdjI0cnJiWnTpjFv3jwuX76s4XwtLCw4cOAACxYsAP6XvVDQCb/zzjt4eHgwfPhwEhISRAEfgPr16zN79mw8PDzo0KEDKpUKGxsbcWPun3/+wdHRkb///psXL17g4eFBeno6BgYG5OXlcefOHd5++22SkpL4+uuv+e2338TMjB49elCnTh2ioqJITk7G3NwcExMTsaNHYbKNReHq6sr169cJDw/XckBCgczjx48xMjJi48aN4rXLUkthwYIFKJVKpkyZwpgxY1ixYgWnTp3C1dWVtLQ0/vzzT6pVq8aHH36IlZUVGzduxMLCAkNDQ168eMGzZ8+wsrJi7969GgUyV69eJS8vDysrK+rVq6ehoaHeNUWiciLNgMuBgk/qogouhJlbQWQyGRYWFoXu+t+8eRNLS0saNmxIQkICFhYWGrPc9u3bM2DAAOLi4tixYwcqlQoTExNevHhB9+7dmTp1aqG78ADz589n6tSpJfn4L6W4zUNfViAjPDgK6zxSFp0mnJycePbsGTdu3MDS0lKjQMPV1ZWkpCTatGlD7dq12bRpU6ErDBcXFyZPnoyjo2OZhhoKo7LNKiuTrbqQNuEqgMIKLtSdryBXePLkSWbMmIFMJtPpfCF/179KlSqEhYUV2gft2LFjjB49mu3bt4spUILjUiqV4i68sNF38OBBZs6cKYYThBxoAUtLS7788ktAszTZ0NCQ7777jlOnTjFixAjxeMOGDbGzswMQy28bNmzImDFjAIql1SAUyFhaWuoskAkMDCzy/eUx51Av0BAetP/973/58ccfUalU1KhRQ/x+Z86cKRbbXLhwAV9fX9q2bcucOXPIyclh5MiR5eJ8JcofyQGXAsePH2fYsGF4eXm9NCtAXSNi586dGhoRn332mfi6v/76i7CwME6cOEGNGjU0dAbUHZ7gMK2srGjRooXYUTk7OxtjY2NRL8Dc3BxTU1Osra3p3r07e/bsYd++fQD8/PPPXLhwgRo1atCqVSsgv0loQECA+H71NCiZTMaOHTvELA51DYe8vDwaN27Mu+++y/79+4H8rIlr167x4MEDWrVqxfnz56lTpw7Xrl3DxcWFiRMnFlurwcfHh0uXLjF48GCcnZ1xdnbmk08+ITY2lk8//VRDE0OdtLQ0sTNxaWopCGMghEAAmjVrxtGjR6lZsyaA2FLKyMiIatWqER8fT40aNQgICGDp0qVA/oPNzc2NunXr0qVLFzZv3lzqcV6J1wcpBPGKFNWMUsgKUF8qFVZwkZubS7t27cT2Peq88847Gilkbdu25cSJE+L/C3FfoWBCiP+OHz8eLy8v+vbti4GBAaNGjaJPnz7Ex8czc+ZMMV1N/TqBgYGEh4djYGBArVq1Cg1JNG/enPPnz6NSqXBwcODevXviuUWLFtGuXTuaNWuGnZ0d7dq1E/ONBa0GoVPGmDFjCAoKKrR5aFEUtQQtaeeRkhIfH681zhkZGSxbtoy4uDgsLS11rmDUfydlUVhRXCrbsr4y2aoLaQb8Cmzbtq3IZpRBQUF655yGhYVpOF9hmQ5o5e8uWbKE999/X/x/YXYsFEyoVCqx0KN58+Z89dVXQH6bem9vb6ZOncqLFy8wMTFh4cKFDBw4ULxWeHg4w4YNQ6lUFup8Id/h5OXloVQqNZyvLtQfTuX1vH/VziPFRdc49+7dm7i4OGxsbMjMzBS1nz/99NMifyeVeE4kUUwkB1xClEol33zzDZDfjNLf3x8nJyc+/PBDduzYIbaOOXTokMb7ChZcAPzzzz/irBPyl/gxMTEEBATg7OwsHof8lDN7e3uWLFlCw4YNNVK+zMzMaN26tVahh7+/P/v27aNXr15ioYKjoyPnz5/nk08+wdvbGwAbGxuUSiWXL18Wy3dtbW2B/OWzuiQl5BcZmJqa4ujoqBEWcXV1FbULHjx4wK5du8RzX3/9NX/++afYKcPV1fWV5CgLw9jYmIiICFasWEHbtm1xcnLC09OT0NBQdu/ezVtvvaXxeqGAon379nTp0oVZs2bx+PHjYt1TfZzr169PkyZN8Pf3F8dt5MiRAMTGxuLu7q7xOwkNDZUKK/6FSCGIV7i3sMQuqhmlkJKkbqtQcFGnTh1CQkLIzs7m888/18gPVd8NDw4OFnODa9eujZeXF5s3b9aaXdva2rJ69WpRI1gXupp75uXlaST8C0UctWrV4tGjR+IuvEqlemn5sampKfPnz8fDw4Mvv/xSlIJURwiRNGzYkHbt2rFmzZoSy1GWxm+gsAIKfcbzZaj/Ts6dOyeOs/D9xsbGEhERIY55eWU7FEZlW9ZXJlt1IeUBVwChoaH8+eefJCYm4u/vLx5XKBR4eXlx9+5dcTdcHTMzM+7cucMPP/wgHpPJZPj4+JCdnc3Ro0cZO3YsR48efalCmfpz19DQkOXLl/N///d//PHHH2IF3Z9//olMJtPYhV+3bp3WxpY6giaFPve+du0a165dw8jIqNy1GgTOnj3L3LlzMTAwIDg4mN69e5OZmcnSpUuLNZ76IIzz0KFDtb7f3NxcKdvhX4gUgigh6ktsYbdfQL0Zpa6ddkEjYu7cubRs2RK5XC4WXUydOpUjR44wYcIE3NzcqFOnjhhK2LFjh7ij/s4774i75P/5z3+IjIzE09OTe/fuERUVVajdhXVwkMvl9O3bF8jfiZfJZMhkMkJDQ5k9ezaPHz9m6tSpXL58WXyPqakpVapUoVatWnz55Zdi3NrDw0NMh+vSpQs//vij2CmjadOmojOrVq0avXv3Zv/+/RoPoldFEOvx9vbG29ubCRMmFNq9WiigmDRpkqhY5+7urvd47ty5k0GDBtGmTRt8fHzo2bMnHTp0EO+bm5uLo6Oj+DuRy+Xi9+vi4iLGhbt168Zvv/1GmzZtykWzQuL1QApBvALbt29n3LhxmJubM2HCBI1mlBcvXsTNzY09e/ZQq1atl9qq7659wYR/dWJiYhg9ejTdu3dnzZo1Ou+jb2eKY8eOifb4+vryww8/kJ6ernGtggUU6gUOM2bMeCU79UHXEnTv3r2iUpo6FhYWhIWFaTUELel45ubmEhAQoFNrouB9hw0bxsqVKwv9ndjY2IjdktUpK82Koqhsy/rKZKsu9A5B/Pbbb6K8n7DhUhFLxteJ/v37c+nSJdavX8/s2bM18jWFZpT66iKMHz+eGzducPDgQa0lfGnu2gsFAv7+/sTFxREXFyeeMzIyYvHixTRr1gwXFxfRnuXLl2tcw9zcnE8++YT169czZ84cXFxcxA6+FYkw883Ozmbw4MEaFXKbN2/miy++oGnTptSuXfuV7xUWFsbhw4extbVl1KhRLF68mGfPnolVcO3atcPBwYHNmzezYcMG+vfvz44dO7R+J1WrViU9PV2nZkVSUhIhISGlqlkh8XqhVwjC39+fBg0a0KJFC1q0aEHz5s1faWPiTUCQixSS6W1sbKhSpQqmpqbUrFmT//u//ytWu6Kidu3HjRvHuHHj8PLyEsMRoaGh4q59p06d6NmzpyiOfvPmTU6ePFnovRo3bkz//v2xs7PD1NQUCwsLWrVqxf79+8VNNsGejz76CMgX4KlevToymYycnBxu3LjBkCFDxAKKggUOugoTID97RGhyamNjo3cBiz4IMpW+vr4sWrSIxo0b07hxYxYvXsygQYPIysrSepjoY2fBMJKQtSJoTdy8eZOcnBx8fX05fvw41tbWHD9+nJEjRzJo0CAxBa1g09KgoCAyMjLE6/Tv3x+5XE7Xrl3ZuXMn1tbWREdH07NnTyk08YaiVwjCyMiI2rVrM3ToUI0Z3YwZM8rUuJdRUcuP+Ph4AgICXtrwUlhCNmrUqMS2Flbo8TJkMhnDhw/XatpYWOcF4fUREREathbV2UEoADExMcHBwUEjVKJPYUJWVlaRBSwvo+ASVFBJO3jwoJa4j6CS1rBhQ41+ay+zs2bNmsTGxmpswp0+fZp+/fqJWhMF76seimncuLHO++q6jjq5ubm0atVK5++mLEMTlW1ZX5ls1YVeM2C5XE7nzp2ZNWsWM2bMEP/9G8nIyGDMmDE8fPiQjh07MmDAACB/WW5oaIiBgQFTpkwR8ztDQkJKfC9dhR5ff/11ke95++23mTJlis6mjeqdF1xdXbW0CNatW6e14aTe2aFjx47s2rVL7NQgbOK9ePFCq8ChqMIEa2trMjMzS6WA5VUpyk47OztWrlxZ7AyI0gjFhIWFic5l4MCBnDp1ioiIiFL5XUm8PujlgIOCgli7di2urq54enqK//6NREZGkpqaSqtWrVi6dCm7du3CyMiIXbt2MWnSJJRKJSdOnNBYQqqnbRWV8F9QU0J4yKkXehw4cADQrJQzNTVl+PDhNGvWjMePH2NgYMB3330H5KuYCQ5BvfPC9u3b+fDDD3FyciIgIEB8/dixY/Hx8aFt27YMGzaM+/fvA/nhgnXr1tGiRQu2bdvGsmXLRG0DgLp16+Ln56dR4FBYYYKQIaGrgMXR0ZGkpCRatmxZ7IIIIVQghA4Kfm8Abm5uWud02RkQEEBcXBweHh5ar2/UqJGG1oT6fQuGYoq6b8HrCAghDnX7dIUmrl27pte4SLy+6LUJN3/+fPLy8rh37x4mJialbsSzZ89E/dvXHaEgws/Pj2vXrqFQKGjevDlNmjShTp06zJ8/nwsXLmBvb0/Xrl3Ztm0b8fHxdO/eXWfC/5UrV9izZw8eHh4cPHhQa/ZkaGiooVkr3H/EiBGifQgMbQAAIABJREFU0xw3bhzBwcHExMSQkJDAhQsXGDNmDLa2tqSlpXH//n3s7e25cOECAAMGDNCqahOq6jIyMsSCDHVdhn/++Ydhw4bx+eefk5eXR2hoqEa79Fu3bhEcHMz+/ftZtWqVmF7VpEkTDWeSmprKmjVrsLOzo3v37ho2REVFidWBqamppKamiuOjT0FEUFAQMTExbN68GZVKpSVTaWlpqdGTTZ2CdhaFtbU1gYGBLF26lCFDhvDZZ59hZmbG5s2b2bt3L5mZmWKBydatW7GystJ534LXEbJfYmJixN9I7969Nb5/9d9VUlJSqekZS1QMes2Ac3NzGTVqFA8ePODu3bviv+IgaAbExMSwd+9eID9fdtOmTezbt4+NGzdy7ty54n+CCkKfZab6a4SEf4Dg4GDi4uKIiYnB29ubhw8f8tNPP2FmZiYuyQVnkJeX98pL8pfZKoQmhHuEh4eLoQkh5m9mZkZcXBy9evXi448/5v79++IDs0qVKqKc5qFDh8QHQ3FQHx8AX19fjfEZO3YsGRkZRV5DkKm0sLDQKVMZFhZWrI3RolDXmggNDRWbmgqCO8ePHxfvu379+kLvq0uzYvHixUB+Prau7JeKzjaRKD30csAffvghx44dY+3atURFRYn/ikNubi5JSUk8ePBAPPbrr78ik8no168fXl5eYiPD1xn1QoaGDRtqLCHVNQ3WrVvHzp07gfyZmZAxICT8Ozk5ceHCBTIyMkRH1qhRI3FJ/tFHH4n6ueqaErp27bdu3UpWVpa49L59+zYeHh48fPgQCwsLcdUivHfr1q2kpqaKTT9btmwpzo5r1KjBBx98QHh4OFu3bsXCwgLId9L+/v5itwZjY2Mx/u3q6sqAAQPYuHEjRkZGrFy5slBnWVgBi1AQYWNjA+RvqBWnIELAx8eH2NhYDZlKd3d36tSpw8SJE8VCi9GjR2sUlRQXXVkrbm5ueHh4iPcdOHAggwYNYtGiRWJIR8hOEbJofHx8SE5Oxs3NDXd3d5ycnGjWrBmGhoY8e/ZMq4CkrOQ0JSoGvbIg7O3txVigOiV5Ev/yyy88evSInj178vTpU1avXk3NmjX566+/cHd3x8vLS+9rVcQOaMFChmrVqrFt2zbMzMxEKUi5XF6orOLMmTPp169foR0xunTpIi7hhUIPgNatWzNv3jzi4uLEjTh7e3veeustrl+/rjNLQUDQNHB3dxe1CArrS9a6dWsuXLigVcgA4OzsjLe3NytXrqRhw4bcvHlTS8Ohd+/eJCQksGPHjkL3CXQVsHTq1EmUxxQKWITZd2EFES/bBS+q8wgUvxNHcSgq26R79+7Ex8drZdGo21PecpoClS2zoDLZqhOVHvz000+qPXv2aP0rCT///LMqJiZGpVKpVNevX1ctXLhQdfDgQdW6detUGzZs0Hr9/fv3VTNnztT6d+zYsRLdvzQ4deqUqnr16iqgyH9WVlaqH374QbV69WqVTCZTASpDQ0OVj4+PClDVq1dPtWbNGvH1pqamKkA1Y8YM8V4tW7bUeW3heoX9k8lkqv79+6t69OihAlS1a9dWPXnyRHX+/HmVkZFRkdeUyWSqTz/9VJWYmKhKTEwU7Sr4z9jYWPXtt99qjE2rVq1UgOr48eNFjmFQUJDOz1CvXj3VzZs3NV67ZcsWFaD6+OOPi/U9DRgwQAWIn7d9+/aqkJAQ1dtvv60CVAYGBioDAwPVf//732Jd92Xk5uaqmjdvrgJULVq0UMXGxqquX7+uWrJkicrc3Fz8rD4+PqpffvlFdfnyZdXUqVNVRkZGoj3Pnz9X9e7dW+e4e3p6qh49elSqNktUDHqXIpdWJZz6DHjHjh1Uq1aNdu3a8ezZMxYvXsznn3+ud9pPRT790tPTWbZsGadPn+b58+dYW1ujUqlISkpCqVRSv359YmNjMTQ0xNHRkZYtW2o007SxsSEgIIATJ06QkJCASqWiUaNGXLt2DZVKxbvvvoudnR23bt3i8ePHvPvuuzx8+JC8vDxsbW3p3r07aWlpXL9+HWNjY+7cuUNGRoZG800PDw9WrlzJmjVryMzMpF69eri6urJt2zZMTU2B/E0+W1tbUlJSxB5x6gpv+/btEzeZcnJyxJm2sbExGzZsoG3btuJnunjxIj179sTAwIDLly+/9Hs8efIk69evJzk5mbS0NDIzM5k4caKG4ppSqaR///6cOXOGkJAQAgMDycnJITw8nJ9//plHjx4hl8sZMWKExurp6tWrdO7cWVQZMzIyokqVKpiZmSGXyzl//jyQH2P39PTUSNd7Vfbv309AQICo++Dk5CT+VseOHcvu3bsxMTHh999/15AaXbFiBfPnz9ewZ/fu3Wzfvp27d+9iZ2eHj48PQ4YMKbPO02U5q0xJSWHZsmViuMvV1ZXg4OASVya+CTNgvbIg/P39Wbt2rdZxPX13odja2pKeno5KpSI7OxsTExON1KbXmapVqzJz5kyt4zVq1ABgy5YtGn8kU6ZM4eOPPxbHTCaTsWjRIo33Xr16VfzvP/74QxRoNzQ0JCUlRTx39+5dVq9ejaurK7t27aJq1ao4OTkB+Q84S0tLkpOT6dSpk8YS+ObNm9y8eRP4n3g75P9hqOsRpKenc+vWLbEpJMCYMWNYvHgxNWrUELsKT5s2jZCQEBo0aEBCQgLz5s0jLy+P4OBgvR6iXl5eotMUCiK+/fZbcnJyNAoizpw5Q82aNRkyZIjOpb1gq3rhieBgBWU3hUJBZmYmmZmZWkt/wSGUFkVlmwiVfi9evODBgwca2r9+fn5iFo1Anz596NOnT6naVxHo0ui4fv06MTExOjU6/i3o5YDXr1+PXC7XqoQrKcIM2s3NjR9//JFvv/0WyG+1U1ZP9opGKN8WZsHCagLylc0MDQ01NigFhNbvpqamLFiwQC+tgIIFF15eXixdulQjTtyhQwdmz55NQkICoaGh/P333xgaGpKXl0dubq44sxXkKL29vcXd+cLkNAGxE0dJxuerr75i7ty5rFixghUrVojnhIIIMzMzjc+1aNEiTExMOHr0KIsWLWLdunV88MEH9OvXT6w6E7SHa9Soga+vL5s3b+bevXvi8Yqkou9fXpSnRkdlQy8HLJfL8fb2ZtasWa98Q6HpI+QLw4waNYp//vkHS0vLN8L5Ck7uiy++4McffxSPKxQKrcT5unXr0qFDB7H4QijthXy9hvbt2/P999+jVCp5/vw5jRs3Ri6Xi/3DhJloUFAQLi4unDlzhsjISORyuVhwsXXrVoYOHQoghg5yc3M5ceIEH3/8Mf/884/Y/UK4t7GxMe+++y5OTk4MH/7/7J13VFRX14efmaGoiCUo2JKImFhfFCwRY8eCQQVFjSVK1GhsEFvU2OKrorF+9hoVNW9EEQtWDDaisaEglqhRBDuhRYYiDuX7g3VPZpgBBgQRnWetrMjcmTuHO5c95+yz9+83hNatWwuBIHt7eyGnuX37dg4dOkR0dDQ1atTgyy+/xMXFpcDXbvjw4bRo0YJ169bx559/YmpqioODA56enlSsWJHDhw9rNJJIS3sbGxthbrlgwQI6duwoPPOkIFejRg2+++47+vfvT5s2bTRmYoXpxKF+vl27dml9QUlNKCYmJqLKRaIonEHeBiSNjgEDBmis+pYsWUJmZiY+Pj6sWrVKa0X4PqBXAPbw8GDChAlcvHhRw/ZccuB9XaTSo3eBqVOnMm3aNE6fPk2PHj0YNWoUKpWKGTNmkJCQoBFk09LSaNasGcHBwaSlpWFkZCSOSV92q1atEnb16oX32Qvyp0yZgpubG4sXL8bW1hbI+rIbOXIkFy5cEKpb7du35/jx46Snp+uccUPWsr1p06ZipjJhwgStRgaFQsGQIUMYMmRIoV6/3BoiclvaOzs7i8aTc+fOkZaWJvLWcrmcixcv0qdPH5o1aybSEhKFqUUM4OTkhJ2dHSEhIfTu3ZtFixZhampKYGCgKCF79eqVaGxRlwNVKBRMmTKlUMdT3EifmzQRUMfd3R0fH58cK1Xedd6KTrh3CXd3d86cOUNAQABXrlzhm2++Ecfkcjk9e/bEz88PCwsLIiIitBwxpECpD+pLWPUl/NWrVwHEDNzS0pI+ffqwZs0anRZB6shkMkxNTfHx8cHHx0c8XtiNDEWJdF3KlStHSkqK+FK7cOECFy5c0Hq+9IVVWGR3vujcubM4JjmYXLx4UaccaHE5gxgoHvQKwFIn3Lp164p6PO8EW7ZsYd++fSxYsIDo6GiMjIyoXbs2a9euJTk5GT8/P1QqFZMnTyYoKIioqCgiIiKQyWS8ePECY2NjGjZsSGZmJsbGxsTExACahffqBfkRERH06tWL6OhobG1t+eeffwgPD8fIyIhKlSphamoqVitScDcxMcHd3Z0LFy7w4sULHj16RGZmpvBqq1evngjkTZo0YfDgwezZs4eVK1fy6tUr6taty+jRo7VUx3LCz88PX19fnjx5gqWlJc7Ozri7u+cr7ZTb0l5KhVStWpXWrVtjbGwsNtssLCz4+OOPCQ8PR6VSkZycLIJ0UZlgShUQ69at4+zZs8TExGikdLJX0dSvX59Ro0bRsGHDQh9LcWNnZ8ft27fZtm2b2EeQyE0r431ArzI0V1dXbt++zaRJkzRmwLqWFG+SklSCkpspZ506dZgzZ47YOOrcuTMzZszgzp07TJo0iRcvXmiYXaoX5Oc0Y5Y21HKiffv2/Pe//xXVC7GxsWLJXqpUKe7fvy+em5P8pj6NDLk5R+RXVlHdPLRx48YaS/ulS5cK81Bp2b9ixQrRcFKvXj2cnJxEF6B0fd6ECWZJK5cq7LFGRkbSqVMnkpKS6Nevn06NjsDAwHyvrkraddXFG++EK0xK0sVXH2t8fDyDBw8WM8y8qFChgkbVhIQUfK2trZkxY4YoB5s6dSqpqaka+ea86Nq1K5cuXSI2NlYjACuVSjp06MDTp0/p2LEjnp6emJmZsX//frFB6Ofnl6NQzsKFC1m5cqVOx4eIiAhcXFzy5fjw4MEDBg8eTHh4uMbjMpmMoUOHCrcJadUmrRKyk/35RUlJCxRFMdZDhw4xYcIErQ5LKbXl7Oyc73OWtOuqC71SEN7e3hp1oxIJCQkolUpR+2ogZ+Li4vDy8iIgIEDUPNerVw9TU1OUSqWoIsjIyNBZeO/v76/xeJMmTVi9ejXly5fHz88PKysrIEvgSPqsFAoFw4YN48CBA7x48YLMzEzR7mtubo6lpaV4X4VCwdGjRwHNVIckv9msWTNq1qzJtGnTRApi0KBBbN26lUWLFulsZMjuHCGlK3RVceir6pXX0l7izz//xNjYmCpVqpCYmEhaWhoKhYIyZcpgZ2fH0KFDNZ6fF4WRQnmf6datG7a2tqxatUojteXh4VEi9hWKitcy5Tx37hyXL18uUN1nYVBSvv3Cw8NxdnbWqdVgYmLCqlWr8l2I/r///Y/Jkyfz5ZdfsmzZMq3HpcqJnGbPkJVTHT58OGFhYWzZsgWVSoVcLmfv3r1iIyg3RwxpeV+6dGmd2he5OT6AponngAED8vX7Q84zIF2yn/CvJkZ+7LQKI4VS0mZqhrEWPq/liGGg4CiVSvr27SuCV+fOndmwYQP9+vVDLpfz6tUrvvvuuxxt0wuK9L36zz//0LFjR/z9/Tlx4gSVK1cWz5F0gzds2CCC79KlSzV24bM7Ykjn8fDwEO+hb5ojpzEWJnnJfuoja6mOuvnm8uXLDc4UBgoVQwAuYry9vXn27BmQpXG7detWunXrxtKlS0W958uXL7XMIvNCqgg4evSoEDFXfzw2NhaAzz77DG9vb5o0aUJqaqpwzICsPKhcLqdUqVJ8/vnnHD16VGs1I9XMSo4YTZo0oW7dukydOpVWrVoBCF2J7OTk+ABFJ6soyVpKsp+S/GR+ZS1BO4WSk2mmwZnCQEExBOAiRnKwAMTur66f81uI3qBBA1xcXEhISMDNzY0jR45w//59rl+/rhEQ7ezsCA8Px8fHh4EDB5Keni5mrJmZmWRkZAg79Tp16mi9j+RsITliBAcHc/v2bebPn8+5c+cAdO4PwL+OD2lpaQwaNIhdu3Zx//59jhw5Qq9evVAqlVqOD6+LumOJOnK5XFTt6Kv9cOvWLdLS0rC3t9cqt5MaYSD/n50BAxJ6bcIZeDvJTZNBajlev34969ev1zj20Ucf8fDhQ0qVKsWCBQvE5uDy5cuFLoeEkVHWLVKuXDmdjQOAhqJXdsaPH8+dO3c4duyYaGeWUDfxLIkUdxWQgZLPa82AS4KHW3Gj3tev7mIB//b+Q9aSvH379no7NYSFhfHDDz+QmJhI1apVqVq1KjVr1qRt27asXbuWiRMnAlmB08bGhiZNmgBZqYTu3bsDup0sJEW07OOvU6cOw4cP5z//+Q+ffvoprq6ufPXVV1q/I0BKSgrz5s3Dzs6OOnXq8Pvvv/PJJ58IxwcHBwe8vLzYt2+fhomnOmlpaWzevJlevXrRunVr+vfvr3MjT8LPz49+/fqJn8eOHatRB52RkSEcQ8qXL69hfrps2TKhUqZOQVMo2c1V//vf/2qcPyUlhaVLl2qYn0pOGQbeL/SugoiPjxelTBLW1tZFNjB9KAk7oOp1tAAdO3bEzc2NU6dO4evrq3MWlVeDgz67/NmdO+rVq6eXk8Xp06eF7ZA0fvXzZNcuyH6e8PBw+vbtK/Le6sjlcmbOnJmnA0VuThbqjiHVqlUjMjIyxyoFKysr1q9fj0wmY+XKlZw8eZKyZcuSlJSkdd1r1arF9u3bte7p/DpTTJ8+nW3btuV4/szMzBydMtTlNIuLklZZUJLGqgu9AvDs2bOZM2eO1k1V3EuwknLxHzx4wBdffJGjZZCtrS3z5s3Tq8Hh4sWL9O7dG7lczujRo3F1dSUxMZEVK1Zw4sQJqlevzokTJzA3N+fy5csMHz5cZwfbjBkzNNIWLi4uBAcHawVgQO/zpKWl0a1bNzGDt7e3F2VuP//8MyqVCplMxt69e3MtBRs5ciQHDx7UajCRZDPHjRvH999/T7Vq1fjuu++0Gj1Wr17Nrl27tO5Pc3NzlEolZmZmfP/993To0IFnz54JDV47OzsOHDigUdubW0NHkyZN2L59u5jF7969m/Hjx2udf+nSpVy6dAk7OzsyMjK4du0adnZ2TJ06lapVqwo5TfVOvuKipAW1kjRWXeQZgNPT0zEzM+ODDz6gZ8+eGhs86vWnxcHbdPHT0tLYtm0bhw8fFvKMffv2pWfPnlSrVo2bN2+KXKvUDZSamoqtrS3NmzfnwoULosHBwsKCrVu36nRq6NWrFxcvXmTatGmMGTNGPJ6RkUHfvn05f/48/fr1IyYmhtDQUFJSUkhPT0cul5OcnIyxsTEbN27k+vXrnDp1SrhoXL58GYVCQXR0NElJSYSFhbF27Vru3LmDiYmJ6NUPCQnJUbtAcoIAaNGiBXv27BFpquzHJMPS7EhOFuXLl+fUqVOiwQSy0i7du3dHJpNx/fp1LC0thaTjoUOHNDbKpDSASqXik08+oV27duzfv5/o6Gg2bdrEF198IZ6bkpJCx44diYiI0DomkZczRUZGBk2bNiUqKkrrHBUqVKBBgwZCYF9qJlFXdJOuT5UqVQgODi629F5JC2olaay60GsTzsjIiDFjxhhqHnNA15I5PDycoKAgDh48iL+/PxUrVmTJkiVCjERqcIiIiNDIL969e1dsbunarc9rl//8+fMaKmbZUalUDB8+XCN9ITVR2NraUr58eZYtW6aV4rhx40aejQzq4x0yZIhGEHF2dhbNIblVIUjHnJycNIKvND47OzsuX77MjRs3sLCwIC0tjebNm2tVKbRr146ePXuye/duRowYQbt27di0aROWlpZaAbZ06dL07duXRYsWERoaqjMA5+VM8fz5c6KionSev0yZMuL8kLecZlRUVJEIBBl4+8g1AP/yyy+kpaXRokUL1q9fT2ZmJjVq1BDHv/7666IeX4lg2rRphISE6FwyBwQEMG/ePEaOHKnxmuwNDuoaC5I2Qn4bHCTFM8ntoUaNGvTr148jR45w69Yt0bmmyw1ZoVAQGhrK9OnT+emnn5DL5Xh6emqlOMaOHStSHLlRVOmp/Jy3uFNkBaWkjttA/sk1AI8cOVJDPGPmzJkax9/XACyZQp46dYqYmBgePXqEmZmZhiaDtbU1devWpXv37ixcuJCBAwdqBC1Jk8HIyIjw8HAhwJ6YmEjp0qVJTEzUqb0sOV/89NNPxMTEiBTBZ599xs6dO4GsP+Dy5cvj7++PsbExsbGx3Lt3T7wnZOUv//nnH6EFIZfLGTlyJAsWLBCmoJ9++qmoDfb29hYpju3bt2ukP9THJrF161acnZ1FidqhQ4d0ymrmdI6jR48yefJkjZngtWvXCAkJEXKdVlZWGlUKn3zyifhc4uPjefz4sXi/qlWrYmVlRVRUFIcPH9YQf0lOTmbXrl15ji03cjt/UlKSOD/8K6epPgtWl9PMPvtVv9+USqVOE1IDJRPF7Fx8hlq0aMHAgQMZNGiQzv8kI8jiIj8tpYVFeHg4vXr1Eh1o0saaSqVCpVLRoUMH8VwrKyvOnDnDo0ePaNeunRAdiYuLY/78+aSmppKRkUF8fDzPnj3j2bNnxMbGikCpUqlo1aqVhtiRtbW1cMG4e/cusbGx/P3338KNWVr2u7q68uGHH9K7d2/OnTunJU3ZuXNnfvnlF9zc3LC0tGTGjBkaHXX//PMPR44c4ebNm3zxxRfCVfjw4cOYm5vTo0cPrWtjY2PDiRMniIqK4smTJ5w6dQozMzN2796Nl5cXGRkZyOVyVq1alaOAk6WlJffv3ycsLIzjx49TtWpV5HI5x48fF2pa3333He3bt6dy5crExsZy/vx5jhw5wpYtWzhx4gTPnz/nn3/+ESsIIyMjOnTowAcffMCxY8c4ceIEpqamVKhQgevXr/Pdd99x584d7O3tmT59eq51zTkhk8lyPP+3337Ln3/+ib29PVZWVty+fZugoCA+/PBDVCoVu3fv5scff0SlUuHl5UWDBg3EebPfb3FxcYSHh7N3717i4+M17rfCQNqoLAmUtLHqQq8qiKVLl9KxY0caNWoEZLW5Llu2jEmTJumt5VoUvOkEfFpaGi4uLmLHfOrUqQQHB7N48WKxvM++iy1VF+zZswcHBwfg311+yPIIy16Dqm4YqV7VAFlVEG5ubjkuU6XX9urViwsXLggZySpVqvDLL79oPE+qRpDGo64h/NNPP7FkyRKNqgN/f39GjRrFF198waZNm3S+/4MHD+jbt6/Oz0YulzNr1qw8LYByk+vs2rUr69evx8jISJShffvttwQEBGg9t0aNGsTGxpKSkiI+l5kzZ7J161at62djY8P27dupWbNmrmPLi7zOL5Wh5SWnCbrvt6KumihpG1slaay6yDUAHzt2jCNHjrBt2zZatGghlqOPHz9m3759REZGFquT6Zu++NJOtfoutrRrL4mZq+9iX7t2je7du6NQKAgLC8Pc3Jz9+/czZswYEShNTEx49eoVFhYWpKSkkJycLN5P+oZXr3jo0aMHV65cwcLCQsyUTU1NMTIyIioqSvzhS1rAZcuWZejQoezfv18I/kjv7eDgwH//+186d+5MmTJlSE5OFq+ztramadOmogrjP//5D3FxcTx+/Jjp06czevToHK/Ty5cvWbZsGb6+vsLho1GjRsyaNUtvx4f09PQ8TT+rVavGsWPHmDlzprjmMpkMMzMz2rZty6pVq/jtt9+0qguCgoLYunUr4eHhlCtXDkdHR0aOHKnhd/g6ZD+/q6srAwcOFOd/+fIl69at4+TJkyQkJOiU04R/7zcLCwtq1apFbGysqK4xMTEpkqoJXUEtMjKSlStXig1SOzs7PD0939jf/unTp/H29hbXs0OHDowePZpatWq92wH4v//9b45OyI0aNdK7p76oeNMX38vLi7Vr1zJlyhQ8PT3F45LDhTSD9PPzIyIiQjhNzJo1i2+//ZYNGzYwb948nZtrusTTzczMSEpKEjPOS5cu0atXrwJv0mR3yTA1NcXT05PFixfrbdNuZGTE4cOH3wrrnJ07dzJ16lSdm4rwr1xk+/btiY6O5sqVK8VSXVDQmdrMmTPZsmWLzmNdunThypUrxMTEFOrvlX2sBw8eZOLEiVpC6mZmZixbtizfMqr5JbfGlmPHjmFmZlak719YFEiOcvLkycTGxuLg4MDGjRvZvHkzK1eu5N69ewYBEjW8vLywt7cXwc3NzY2JEycSGxtL165dmTFjhoZMImSVWS1cuFD8nD34fvjhh+KmV6lUKJVKxowZI25EHx8f2rVrByBmfnkJjKenp9O6dWuxzE5NTRVW4JmZmZQrV459+/bRsWNHna83NjYmLS2NqVOn5mp39Ca4ePEikydP1rhuLVu2FGkeIyMjLbnIklZdILUnV6xYkc2bN3P27Fn+7//+j0qVKglhfyi63ysyMpKJEyeSnJzMgAEDCAgIICAggP79+5OUlMSECRMKXUZVnd27d+Pt7U2ZMmWYPXs2QUFB7Nq1i8aNGxMeHs6gQYOK/T58XXINwKVLl+aDDz5gzJgxjBs3jmHDhuHp6UndunWLTYS9OFE3hUxJSRGPV6xYUeQ1TUxMsLGxEZoMP//8M8bGxkImUdq8On78OFu2bNGodKhQoQIymQwjIyOOHj1K2bJlAfjjjz9o3bo1T58+FY8dP36c06dPU758ecaOHUtmZiZnz54FsmZ+0pJUoVBQsWJFseM+ePBg3NzcgKwUhzRzkslk7N69mx49eohOtlq1aomxDRw4kPPnzwsdXF051zeJdD3hXzGgp0+fsm3bNhwcHEhLS6NUqVIcOHAgx+qCt5mbN2+K+uyyZcvStm1brK2thXaHQqEgOTmZKlWqFNnvtXLlSpKSkujfvz+LFy+mYcOGNGzYkCXo8HmlAAAgAElEQVRLltCvXz+SkpLyLaOqLxkZGfz0008ALF++nOHDh2NjY0OrVq3Ys2cPNWvW5OLFi8V+H74uem33zp49m9KlS7NmzRo2b95Mw4YNWblyJZGRkUU9vrcKJycn7OzsiIiIoHfv3gQFBXHv3j3Wr18vxG8WL15MUFAQv/76q0a+UmqgOHToEJB1g925c0ejNEypVJKZmYmbmxv9+vUjMTERyCpjktqAU1NTkclkQtjHwcFBzPoyMzNRKBTs3LlTlFOlp6djZ2dHr169AFi3bh0rVqxAoVCwY8cOoVCWmZnJyJEj+fnnn4mKisLc3FxDmKdnz55UrVqVvn37AvpLOhYV0vXMyMigSZMm4nPp27ev0KVQ79qcOnVqiRKPkq6vhYUFjx490rjf/vjjDzHr7dOnT5H9XtIYdJnvSo1ARbUSzq2xRWqcUR9jSUWvTriEhARcXV3FxouFhQWurq5FOrC3EYVCwapVqxg8eDChoaH0799fHJPJZAwbNizHHWn1pfKIESM4e/Yst27d0niOtJxSrxkFaNWqFZmZmZw7dw6VSoWJiYnIex47dkxDp6BcuXKYm5uLWWGFChU0JCSvXr2KkZERM2fOpFmzZty9exfI+kwjIiL49ttvgX9L/HJyXX6bkMlkGp+L9EcpfYG0atWqWPUVXofPPvuM27dva91vEm3bti2GURkoLPSaAbdr144dO3awYcMGNmzYwKxZs8RSdP/+/Tx69Kiox/nWIFVATJo0CXt7e2rXrk2XLl3YuXNnrg670mysdevW/Pjjjxw7dox58+ZRrlw58Zzy5cvz6aefitK+SpUqAVl/ZB988AGQ9SXw6tUrPv74YyBr+S3ZDBkbGxMfH8/atWtFw8KxY8cYOnSoSHU0b96cw4cPi5SJlFZRqVRMnjyZNm3aiFZoV1dXEhISUCgU/PTTT7Rq1UosOQvTxaIgSONWKBRcvXoVpVLJb7/9xsSJE0WaRvoSyqXUHfg31+no6IijoyOTJk16rdxmXnKU+iD9fmfPnuWXX37RuN9atGiBXC4XDSlFhfQZSzKe6kgrMEkjpLCRGlv+/vtvDh8+rHGsMBpn3hb0qgOuXLmy6GLSxbZt23QuU4qaklSCYmpqyqtXr1AoFIwaNYqePXuiVCqZM2eOqHe1trbm559/ZujQoSK9U716derUqaMxi5WQjDKlTbiBAweyY8cOUdHg7u5Oly5dWLhwIdeuXcPe3p79+/drOflKVRw1a9Zk6dKlXLlyhfnz5+daGdG5c2c2btwoHDPeNJcuXRK57IyMDCpUqMCgQYO4fPkyFy5cEHXZ2eUis1PYu/x5yVHmR8JV/XOZPn26aHGXqmvGjx/PpEmT8jW+vFCvgoiMjKRTp04kJSXRr18/kXbw9vZm165dlC1blsDAwCJzNfb19WXcuHGUKVOGSZMmCVlU6X5u0aIFu3fvLhHO1K8lR3no0KFcv8GbNWsmZmRvkpIUgEuXLs3Lly9FYFBHVzMGwAcffICjoyO+vr5UrlyZ/v37s23bNi3RdH3IrdEgt8aH7FhaWqJSqYiPjxcNGsXFrl27mDx5co5laNnlIrMjBZjk5GT69++vEWB27tyJmZkZgYGBete76iNHmV3uMjf0bUgpTLKXoR06dEh0IKpTtmxZli1bptFyXRTk1thy7NgxypQpU6TvX1i8VgB+WylJAdjBwYELFy4wZMgQ4uLi+PPPPzE1NaVFixaEhIQQHBxM/fr1SUtLIzo6mvj4eLp3787Ro0eBf+UWx44dK5wkEhISyMjIoF+/fkRERIiGBVtbW+7cuaOz0SAn2cwePXqwfft2jh8/zpMnT6hQoQJXrlzB2NiY6tWriy+DkSNHcvfuXQ1ZSF1tlnFxcaxcuZLz588Lmc3Ro0drqZa97nUNCAhg3bp1XLp0CaVSiZGREbVr16Znz54acpG6mDhxIj4+PgwYMECU4+lzTBf6ylHmJHeZE/o0pBQmumqWHz58yKpVq8QXQZMmTfDw8CiymW92cmqceecbMSRevHiBh4cHp0+fZtCgQaSkpDBw4EBhc1NclKSLv3//ftzc3ITojZSCkJwaatSoQWBgIObm5hpLP8iyxlmyZInW0m/ZsmXs3r2bxYsXM2DAgDzHoY/TxMcff8zTp0/53//+x+TJk/nyyy916j5LDhrqLdYSly5dYsSIEToF3HNz+sgvr9uK6ujoyO3btzl27JjWF0NYWBhdu3alXr16BAYG5nmup0+f0qxZMywtLbWub7Vq1ZgyZQqLFi1izJgxTJs2rcBjLmpKWntvSRqrLvTahBs0aBA7duzg+fPnJCcnc/nyZbp3757vjYX3mebNmzNr1iwAVq9ejaOjI66urpw8eRJLS0vWrFkjZpIff/wxy5YtE62rN2/epGvXriL4Llu2jA8//DDfBfjqspm6CvuXL1+u97lyem+pYSQ6OpqOHTvi7+/PiRMn8PDwAGDu3LlcunQpX+M2YOBdJc8EkkqlIiAggClTpogZ2Y8//kinTp24efNmsc+CSxLDhw+nRYsWrFu3josXL5KYmIhCoeCjjz4iLCyMhIQEtm/fLpZaffv25ZdffhHykJ9//rlY+uVmCqmLmzdvcvDgQcqXL5+jbOaaNWtExYC6LORHH31EUFCQWAJLaRNdu/De3t48ffqUli1b4u3tLWpUp06dStmyZVmwYAGjR48WWhYFSU1I8oznzp0jNjY2X/KM6k4f0gx948aNWg0F+d3l11eOsqTv2hsoXPIMwHK5HLlczqNHjzA1NcXExISgoCBMTEyK3ZSzJFK3bl1SUlI0pB+Dg4MJDg7Wem5ISIiow01MTKRJkya8evWKI0eOMG/ePJRKJa6urtSrVy/P99XXaSI0NJRPPvmEBg0a0LVrV44ePaqRA5WcPgDGjBmjlf9Vd+zI3iAgBWtJehOyHECOHDmid2oiPDxcy9Ty3r17BAYG5mlqmZOZ6d69e3nx4oWoKFBP9Ugz97yQyWT88MMPjBs3jnHjxvH48WOxa79s2TIiIyOxt7enc+fOep3PwPtBngFYoVAwZMgQ1q1bp/G4m5ubqE01oD/Lli3j+PHjGiaSW7ZsEaIrDRs2ZO3atRpmkeXLlycmJkZ0rUk0adIELy+vQhmXrpRCfh05cjufUqkU3YIKhYJ9+/ZpmJDOnTuXxo0b52rWmZaWhoeHBw8ePMDOzo7FixdjYmIi5Bm3bNlCo0aNdDZdSFoc2Z0+pk+fzvXr1zlx4gQnTpwQz1dP9ehLnz59CAsLY+vWrcyZM0ejLtzGxoZVq1aViJIpA2+OXDfhbt26RWZmJpmZmZw/fx5fX1/Cw8Np3Lgx33//Pc2aNSuQeHVhUZIS8E+fPuXFixfY2toC/1Y1qO+eS5KQgYGB1KtXT1QbJCYmUrFiRbECqV69ujCFzMzMzNEMVB1JNrNcuXKcOnVKy2mie/fuyOVyYcqpbo45cuRIzpw5I87v4ODAkiVLdFZBrF69mgULFuDg4MDu3bvF/bFq1SrR25/dbFT9NdlNSNXJLgdqY2Mj7oG8TC0lM9NGjRqRmpoKZKUDPDw8GDt2LFevXqVy5cpYWFi89i5/XnKU6mQ3P3VwcMDT07PYJjclbWOrJI1VF7nOgO3t7cXNqs79+/fx8/MjPj4+xxpLA9rcunVLy0RSvee9Xbt2wu3i3r17Gg0CUjuwmZkZ06dPp1u3bnmagW7YsEE0SjRo0AAXFxcOHDiAm5ubVmF/eno6np6elC9fnqSkJI2Uhaenp4b8JsCJEyeEOaZ6FYS7uzvbt2/n/PnzuLu7891331G2bFl2794NZKW0pkyZonEud3d3MdvPDel4QUwtpRIqKUUCcPv2bfz9/RkwYABXr16lWbNmOQrN54c2bdpo5KNzChS6UiI3btxg//79uZqfGnh3yHX6Om3aNGbOnEmLFi1QKBR06dKFUaNGYWVlRcOGDUtMEXRJQVqMxMbGChlAacbct29fLRnA/FY1SLKZERERDB8+nDZt2mjIZuZH4S6nhZO5uTlr1qyhcuXKnDx5EhcXFxwdHYUDhJubmxDLKSqyjy0yMhKVSgVkpQmyyypu3769SMejC3V5Uk9PT06ePIm/vz+Ojo5ER0czduzYEmO3Y6Dg5DoDnjVrFpmZmaxZs4Zx48YJS/XPP/+cr776iujo6By9vQxo06BBAw0TSVtbW43dc0kpLTQ0lKSkJPr27cvFixeBrNbfrl27kpmZiY+PD3PmzOHo0aN5VjWMHDlSpAgqVqzI/v379Srsz485ZnaaNWvGqVOnRCNGamoqRkZG3Lp1i8ePHwtvOImtW7dqvGdOSMd9fHxISUnh4sWLogqifv36OcpOrly5Uvy7du3aYsxLliwhIyNDZ4VCUTeSSHKaU6dO1TA41cf81MC7Q56bcJmZmaSkpHDkyBH69u2Lubk5Bw4cALKWxYYArD/lypVj9OjRrFixgkGDBjFt2jSaNm2Ks7MzW7ZsISUlhYYNGwqFstDQUK3dc3d3d3x8fPSuasieIpA2VYcMGZLrWPVNWeRkNlixYkV+/PFH8bNSqcTR0VErNbF37142bNiAQqHQSk1kx8nJifr163Pr1i2NoHrv3j1+++03QLfspHSt5HI5ixcvRqlUikYYaWZubGzMoEGDAN2NJPmt1sgL9WoRdeRyOYMHD+b8+fMlXmrRQN7oVYY2fPhwVq5cyWeffSYe79Wr11thS1PSGD9+PHfu3OHYsWNaVQ2QlQOUuHv3boF3zwujw9zLy4tHjx5x9epVLSPN/KYspNTE8OHDOXnypIa4kLo8Zm5IG8IFZfjw4WzevJnVq1ezevVqjWPVq1cXHnzqjSSenp75rtYwYEBf9FLyWLFiBd988w1HjhzhyZMnuLi40K5dOxISElAqlYZZcD4wNjZm8+bN7Nu3D19fXx4/foylpSXdunWjZs2abNu2jQsXLpCQkMB//vMf9u/fr7F7LjUI2NnZ8ezZswKlCPQlPykLfdCVmqhfvz6jRo3Sa5wBAQH8+eef1KxZExcXFy5evEhMTAw2NjbUr1+f//u//2PBggW4ublpzILt7Oy4ffs2CQkJHDp0iHXr1gktjlevXnHnzh0+//xzQHcjyenTp7l9+zbly5cnNjYWDw8Pzpw5k6uJp7rmRnx8PFWqVNGoTmncuDEXLlzgp59+IiYmhjt37mBkZESpUqW4c+cOAH/99RdBQUF6NZgYKJm8lhjPuXPnuHz5crHZE5WkEpT8jFVfGcAFCxYUulzh21zak90UNftYGzdurNN8Mz+yit988w1Hjx5lw4YNdOvWrUDykvpoboSEhOhlsCqTyfJsMClM3ubPPzslbay6KL4iXgM5ImlBmJmZ4ePjQ9euXXVqQRRmVcO7RPagpu/1zH6O7KaQkjKdXC4nPDwcDw8PnaaQ2atT7t69q1Wdklfg/eCDD5gyZQqlS5dmy5YtudZHGyi5GALwGyIuLo7Zs2fTpUsX2rdvz6hRo4T5pS66detGYGAgAwYMoG7dutStW5eBAwcSGBgodAakFMG8efNo0aKFlhloYWvFFjc5maICIkWSk/mmPtdT/T22bdumZQp5+vRpIEsT2cTEhJCQENzc3Lh+/br4fNu2bcvBgwcxNjbGy8sLJycnPvnkE2GmaWRkxJo1a5g/fz6ZmZkMHTpUw8NuyJAhNGvWjLi4OBQKhSglXLBgQYlzdTaQN4YUxBsgPDycXr16Fbk8Y2HwNi/r0tPTcXFxISQkhMaNG7No0SJMTU0JDAxk6dKlJCcns2LFitfyf5OqNZ48eQJkfcnt2bOHvXv3sn79ep0zXoVCQenSpYWJqoT0+c6ePVtcU0nG08TEROSfV6xYoZFa8ff3Z9SoUXzxxRds2rQpx9RKUfA2f/7ZKWlj1YVhBlzEKJVKBgwYYJBnLAQkU9RatWoRGhpK586dadu2LXPnziUlJSVXU1R9kao1pFbg+Ph4HB0dWbNmjdDG6NixI1999RWQNWNOT08nMTGRpk2birpdSSBp7ty5nD17Vpz/dWaxhhnwu8drrVFLks13fvHz88PX15cnT55gaWmJs7Mz7u7u+S4H8/b25tGjR0Uqz/g+IelArFu3jrNnz4oqiCFDhtC6detcXxsZGcnKlStFfa2dnR2enp5alkPNmjXjzJkzfPbZZyQnJ1O1alUqVqzIrVu3aNmyJWvXrhVuxFIdMcCjR4/4559/gKwSwkqVKhEVFUW3bt2YNGkSdnZ2ojqlUaNGXL58GW9vb43UyrBhw4QJpp2dXZ6pFQMlm1xTEJs2bcpVEUuyMC8uimL5oVKpGDFiBMePH9c6Zmdnx44dO4RrsT5k31VX5/Tp0wwcOFDrNcWZmihpyzp9x1oQ8011U8iPPvqI27dv89133+Hr61ugayT5AY4fP542bdoIh5Rvv/2WkydP8ueffwqj1SpVqjB48GBWr15dKKkVfXlXP//ipkCWRMbGxjkaHkLxL4mK4uIvXLiQlStXashF3rlzh7lz5xIREYGLiwtr167V+3xSAF6/fj3du3cXjyuVStq3b8+zZ890yjNmZGTg5+f3xgv+S9pNrc9YX8d8MydTSJlMxqBBg7h79y4XLlwQj0uKdnK5XOfkpWrVqsK1edOmTcybNy/XvzGZTMbQoUM1pC2Lknfx838bKJAaWmBgYLEH2TfJixcvWLt2LUZGRuzYsUOkAaytrWncuDHt27fnwIEDeHh46CWCDlk5wqNHj7Jt2zacnZ2FBoK3t7cQJW/evLlwFlFPTSxatEhn+ZG+S2kDWaxcuZKkpCQtg80lS5YIbY1Vq1bpNN+cO3cunTp1YtasWfz111/IZDLhUNK8eXMePnwonmtmZiZm2B9++CHx8fEkJCQgl8tp3rw5165d49mzZ/z111/Uq1dPwyHlzz//xNjYmNKlS6NSqUhKStI7tVIYSNoXwcHBJCUlGVJhb4i3whU5NTWVzMzMXDuLdFHY337nz5+nd+/eNG/enH379mkdHz9+fL5MMCFrptu5c2cePnxIhw4dhAbC8OHDCQ8PRy6Xs3fvXo02XKVSSd26dSldujT37t3TOF9BltL5oaTNKvQZ6+uab8bFxTFw4EDCwsK0jkkzXkAE5+wYGxsTERFRoPvnTfCmTFQLm5J2r+oi1xlwYeaAMzIyePbsGVeuXEEmk9G9e3dUKhV79+4lNTUVmUyGlZXVW23ZUpDvKnNzc3799Vd69uyppYEA+ZNnjIyMFDKVAwYM0FpKT5gwAVtbW8NMuJCZNm0aYWFhVK1aVaxaJHILvlIaQqVS8fDhw7dyNZld+2LOnDmkpKQYtC/eELkG4NGjR+ean8pPAFapVISEhPD3338L9a7Q0FBMTU358ssvyczM5MaNG1pShW8SXXKREvk1wZTw8/PD398fMzMzjIyMkMlklC1btkDyjK+zlH6fkbQgtm3bJiRVJfIy31Q3M5VcN4KDg6lSpQomJiY8evRIiASVLl1aNIhYWFiQlJQknMN79OghKiR++OEHZs+eTaNGjdi0aVOxmhpk176oXr06T58+1SsVZuD1yTXSBQYGcurUqRz/yw+mpqZ069aN+vXri8fi4+N58eIFixcvZt26dRgZGRWrxZEkF5mWlsagQYPYtWsX9+/f58iRI/Tq1StfJpgqlYohQ4bg6elJYGAgERERPHv2jKdPn2JmZsaWLVuoXr26kGcMDg7m9u3bzJ8/n6VLl+qUZ5RyvoMHD9Z6P2k2rEt/4H3Hw8MDMzMzdu7cycSJEwkLCyMsLIwJEybkab6ZXfZz+vTpyOVyYmJi6NGjB3Xr1hXPTUlJEd2HsbGxIvgCREdHC1H4tLQ0kpKS+OOPP2jcuDG///57Uf3qeZKbiap0TxlkMYuOXGfAN2/epFmzZty4cUOr9ROgXbt2r/XmCQkJxMfH4+7uztOnTzl27Bh169bVuBH+/vtvnVUH7dq1e+3318WiRYuIjIxk//79WnKRDg4ObN68WS+/rhkzZnD8+HGsrKxYuHAhLVu25ObNm3z//feEhISwfPlydu3ahZubm1ZqwtjYmMWLF2spjkn2QpUrV9bKKUlLY2Nj4xzzTfryuq9/k+gz1mrVqrF161aGDh2Kj48PPj4+4pi5uTlbt27VkFpVR5qdlilThmrVquHq6sqSJUuYMmWKlqQlkOuKUWLAgAHY2dkxe/ZskpKS+Oabb4iNjcXExCTP1xY20r5LhQoVxLWU/v/ixQsgK73ytt4Tb+u49CXXTTiZTMbMmTNZt24dMTExWscLktP6448/iI2NpXv37hw6dAgjIyOcnJyArKW0u7s7lStX1utcRZmA1yUXOWjQIL0aMbKbb3bp0kWM9fnz57Rv356EhAQCAwOpUqWK3vKMkyZNYufOnfTv319rKS3N5gYOHMiiRYsK/HuXhI2NlJQU1q5dy7lz54QjxtChQ7VkG0+fPo23t7cwx2zSpAlKpVLM+vQx38zJzPT69essWLCAM2fOiOeq54EVCgUNGjTgwYMHGtZCCoUCuVzO9evXUalU2Nvbo1KpGDVqFDNmzHjta5PfBqLsJqo1atQQn//KlStZuHBhnmapxUVJuFclClyGVqtWLTp16kRMTAwBAQFkZGTQuXPnfDUj5ETVqlUJCQkhLS1NfNtaWFi89nkLg549e2o5C+uLLvNNiSpVquDk5CTMNwcMGKDhHJEbHh4e+Pv7s3PnTjIzM3XKKua0lH5XCA8PZ/DgwTx48EA8du/ePQIDAzVkG3XJSIaEhOQqI6mLnJxBbt68KcTzpeYJ9fdKT08nJSVFBF8pOFtaWvLs2TPhVNKiRQt+//13YT1VUHQ1EIWHh3PhwgX27t2bYwNRdhPVuXPn8vLly3w5lRgoOLkGYEdHRwDOnDnDt99+y6tXrwDYsmULo0ePFsfzi5RiaNSoEQ8fPmTFihUYGxvTsWPHYs0BvykKuhsuySpOmDBBaymdk6ziu0RaWhoeHh48ePAAOzs7Fi9ejImJCSdOnGDx4sVs2bKFRo0akZGRgbe3N2ZmZnz//fd06NCBZ8+eCedlDw8PDhw4oHdbeW7OIOXLl+fFixd8+OGHPHr0SOPYX3/9JUR3JIqqEmLZsmUcP35cZwNRSEgI06dP15nKKwynEgMFJ8864PT0dKysrEhMTGTFihWYmpqyevVqrly5wsOHDwvlDz45OZlSpUrlO/i+rcuPhIQEbG1tyczM5ODBgzg5OWmkINq1a4dSqSQwMFDvhg51Hj58yKpVq4TVuj5LaX15m5Z1Uqrh1KlTKJVKypQpQ1hYmNCDsLGxEWOVKhSqVKlCZmYmUVFRbNq0iS+++ELjfB07diQiIkLrWF6kp6ezefNmNm/eTHR0NAqFgkqVKvHw4UMsLCyoVasWV69eFWppUgla5cqViYuL01BRk8lkNGrUiNTUVG7fvk1mZibdu3dn/fr1BbpO2VNe6qsu9ZTXoUOHOHnypLie6qmb+Ph40YiRmJiYL6eS4uJtulfzokCtyJD1jV2xYkVcXFyESIivry99+/YlMjKyWGtO3+aLv2jRIlasWEGlSpVYtGgRtWvX5s6dO8ybN4/IyEhcXV1Zs2ZNcQ9Ti7flptaVapBo0qQJ/v7+OTpiQJZmr66KkBUrVrBo0SLGjBnDtGnTCmU8OaFQKEhPT6dUqVIaFRG6eB3nC30biCpVqqS1l5P9fd+Wz18fStpYdZHrlNPf358DBw7QrFkzdu/ezaZNm9i6dSvz58/H2tq6xO9AFiXjx4/HycmJmJgYMcsYPnw4kZGRNGnSBC8vr+Ie4ltL9lTDrl27CAoKEr5tV65ceaObQjmNp1KlSuI5w4YN4+zZsxptw9KsN6/g269fvyJ1vpCaqWJiYjTG/+OPPxocN4qZXGfApUqVIjU1NccXx8fHF2sReUn49tu3bx/+/v7cv38/39UUxcHbMKuQ0glSqqF06dIajwNYWVnx7NkzUX536NAhvv32W6pWrUpGRgZRUVFs3LiRly9fiqoACwsL7t+/T1xcHD///DNdu3bNdRyS5sbvv//OkydPMDc35+DBg3zyySeiOkLCyspKdHl6e3szY8YMjXyvtbU1lStX5tKlS8hkMsqUKYORkREvXrxg2rRp1KxZU6RQgoODc5R6DQsLY+3atdy5cwcTExMcHBwYMmQIbdu2FSmv7A1ErVq1IiUlherVq3PmzBlxPdWvqfS+UiNGSeBtuFf1pUBVEP/73/90OgBIlC1b9vVG9R7Qs2dPxowZU2JulLcBqfC/b9++GsHCyclJaOpGRUXh4+ND9erVhSMGZIkZZWZmMm7cOEaNGqVx/0ravWZmZnluLOnS3FAqlTg7O7Ns2TKNqp3Y2FiioqLw9/enQYMGvHz5UlQ9SBKUx44dY8WKFVy6dInJkydrOF+EhoYyZswYKleuzPPnz4mKitKp/bthwwbmz5+vUWt848YN9u/fj6urK76+vgwaNIhp06aJTbh58+aJGv6vvvpK43oCODs7a7yvweH8zZJrAHZzc3tT4zBgIE8kR4y2bduSnp6uIWgjk8k0HDG2bt0q6n3VMTY2JikpiVmzZuUoK5pdcyMtLY3du3dja2srOuikcr/PPvuMgIAA0tPTGT16tNa5ClLVo2tRevHiRebNm4dcLsfT0xNXV1exMX7ixAnOnTtHx44dCQwM1GogqlKlCs+fPy/Q+xooWt79mi8dSH9gjo6OODo6MmnSJA1ZQQPFS27mmzdv3iQ9PR1zc3NatGhB7dq16dKlCzt37hSauS9evODmzZsoFArxHHt7e77//nvOnDlDuXLlOHDgAPPnz6dXr160bt2a/v37iw0sSXOjf//+LF68mI4dOwJZ1S19+vQhKSlJBPdTp06J8djb21O7dm1atGiBXC4XzheAlvNFUlJSvpwvFi5cSEZGBpMnT2bKlCnUqVOHJk2a4O3tjYODA0+fPqV58+asXr2atv3DvCQAACAASURBVG3bYmNjg4ODA15eXsyePTvH62lw3Che3i3bXD3QtbS8ffs2/v7+hSLnaOD1UU819O7dmylTplCtWjWNVMO8efPw9PTUmdpRb4Tx8/PTOi7pOqtXoYSHhxMUFMTBgweJiIgA/tXcUB+P1C589+5dGjRowM2bNwHo06cPX3/9NZcvX2b+/PlkZGTw3XffCeeLxYsXM2LECOrWrcvt27dp2rQpCQkJWFlZoVKpGD9+PJCVQtGV/1XXbFBHLpczePBgzp8/L1IZ2RuI0tPT87yeOb2vgaLlvQrABjnHkoGUahg8eDChoaH0799fHMueaigIUv10pUqVWLhwIXXq1OHy5ct4eXkREBCgUd2QfTx3794F4P79+xrP2bJlC1u2bBE/d+3alXHjxmFkZMSSJUuYPHmyRsojISEBgKioKBYtWlQov1dOFPX1NFBw3qsAbJBzLDmom2+ePHmShIQEbGxsqF27NmFhYbRu3ZoaNWrQqVMnLa2DnGRFIyMjmTZtmuhYs7W1pX79+nz00UdYW1tTt25dunfvTlxcHICGfKU0HhcXF27cuEG5cuVwcHDA3d2d8PBwsZSvUaMGX375pYaQ0vjx46lfv76W88WrV69ITk7Wy/micePGXLhwAW9vb8aOHSsez8jI0Ehl5Pd6vinHDQO6eSscMQpKfisLXtcZoaCUtHKZt3Gs+TVLVW+EmTZtGkqlkvnz52uVVWZ3EnF1deXy5cuieaJfv346NTcCAwP17jwsjGt66dIlYeI5cuRIevbsiVKpZOXKlZw8eZIaNWoQGBiIubn5a73P2/r566KkjVUX7+UmnIGSh7rWwfLlyzl79iz79u2jZs2aQutAHfVGmAkTJvDjjz9qBN/27dvTv39/kpKSmDBhgtiEleYjY8aMwczMDB8fH7p27UrXrl1F8C0OzY3mzZsza9YsIEvBzNHREVdXV06ePImlpSVr1qx57eBr4M3zXqUgXscZwUDxkZNZ6ueff85HH32k0yzV2NiYzZs3s2/fPubNm8fz588pU6YMZmZmREdHc/bsWTZs2MD169e5ceMGXbp0oV69ely9ehVjY2OGDx9O7969C6y5kZaWxrZt2zh8+DDx8fGiZj4xMVE0UHh6euqlLS2R3cTT1NRUnKcw1AkNvHneqxSEZE+elJRUKEtLfSlpS6W3baw5aR1IY83L7LJly5ZERkbq/X6NGzfm8OHDBR5vXFwcgwcPztOdpHLlymzcuPGt8lt7Gz//nChpY9XFe5WCkOQc36alpYHXJ7c5hFKpFH+kn332Gf7+/uzZs0e4i2RHoVAQGhr6WtoI06ZNIyQkBGtra6ZMmYJcLkcul1OmTBkAvvzySxwdHYmOjmbs2LEagu0G3i/eqwAM0K1bNwIDAxkwYAB169albt26DBw4kMDAQJydnYt7eO8Vp0+f5uuvv6ZNmzZ069aNZcuW6RSuyV7VoE5eZqne3t7Ci61WrVo0adKEuLg4VCqVCIiQZQ6wdu1a1q1bB8CCBQv06gzz8/OjX79+tG7dGjc3N7y8vISJZ+/evVm7di0ZGRl8/PHHODs7I5PJ2L17N9HR0Xz44Yc8efKE7du363/RDLxTvFcpiOKipC2V3sRYdTlWADk6VmSvamjatCnR0dFMmDAhV3nPb775hqNHj2Jqakpqair9+vUjPT0dX19fjUaKCxcuiNWPJGt55cqVHLvDcqvKAKhYsSLx8fF6XYu2bdvy66+/6vXcosZwrxYNhhSEgbeG3bt34+3tTZkyZZg9ezZBQUHs2rWLxo0bEx4ejoeHh5YIVPaqBqnDTF95z8GDB4vUk6+vL4AIviYmJjpTT7nNTXRVZWzevFlYasXHx2Ntba1htKneafbjjz9Ss2ZNIKvLLTfRKwPvLoYAbOCNkpGRwU8//QTA8uXLGT58ODY2NrRq1Yo9e/aIsrKAgACN10lVDepaB23btsXLy4t9+/ZpyKKqa30EBwcDWRrCv/32GwMGDBCKX6ampkBWdYOE1FBhZWXF+vXr6dKlC+3bt2fUqFEEBwezdOlSunbtyqpVq5DJZIwfP54+ffpgbW2Nk5MTkyZNEueaPHmyRlXN0KFDxb+/+OILLC0tAfjnn3+0fl8D7wfvVRmageJHkj20tLTUsgQqXbo0ffv2ZdGiRYSGhuq0DFI3S9W1BNWl9QFZ7ccjRozAy8uLIUOG8NVXXxEVFYVMJqNLly7C2FPSRkhOTubnn38Wr7979y4HDx7UmhVPnz6de/fuCUcJ9Y68mTNn0qdPHy5cuACgkWYYOXIkISEhwtAzp9/XwLuNYQZs4J0hu9ZHQEAAAQEBQs3sxo0buLi40KlTJxF8MzMzmT17Nm3btmXu3LmkpKRgZmaGUqmkY8eO+Pv7c/z4caysrETwHTJkCAAfffRRro4SMTExYlMP0FAiCwkJwdLSku7duxflJTHwlmOYARt4o1StWhUrKyuioqI4fPiwRuVJcnIyu3btAnLXNVBH3SEiOjqapKQkoT4GWVUKqamplC1blsTERMqUKUONGjWoX78+Q4cOJSgoiKNHj/Lo0SNUKhWvXr0iKSkJuVzO7du3CQ4Oplq1akRFRWFsbIxKpWLPnj0oFAqePHlCrVq1+Ouvv5g0aRJhYWH89ddfYmyffPIJSqWSqKgoMjMzRXuzTCbD0tKSUqVKsXfv3nz9vgbeLQxVEG+AkrZbW9Rj9fX1Zdy4cZQpU4ZJkybh6OjIkydPWLhwIdeuXcPe3p79+/fnadu0c+dOpk6dquEQAVkVCBs3bmTTpk15akfklLJQJ7u1fFHQuXNnNm7cmGN98pvCcK8WDYYqCANvDX369GHo0KGkpKQwZ84c2rZty4ABA7h27Ro2NjasWrUqz+B78eJFJk+eDICnpycnT57k448/BrIqEIYOHapRpSDlc01MTIR2hHrKQkL9fSU3Cyn4dunSBQAjo9wXjqVKlaJUqVJ6XQtLS0sqVqzI8ePHWb58uV6vMfDuYAjABoqFuXPn8uuvv9K5c2cNx4rjx4+L8qzc0OUQ0bJlSyCrxVepVArzy59//lmkJJydnYUjxpw5c0hKShLBUqFQCBF2S0tL4SYscf78eeDfwJzdX61y5cpYWFjw8uVLXr58iYWFBZUrVwYQGsNSgDc2NmbSpEmcP3+eX3/9FSMjI9asWWPoinvPMARgA8VGmzZt2Lp1K2fOnOHgwYOMGzdO75mjLocIDw8PIbYDWXW8kZGR3Lhxgzt37iCTyXBycsLJyUnjHNLmWJMmTZgyZQrVq1fn77//1nrPhIQEZDIZr1694oMPPuDTTz/VOL5jxw6GDRsmfv7mm29El5uUWujduzeVK1dGpVLRv39/SpUqha2tLXZ2dqhUKm7cuKHX72/g3cAQgA28M3z88ceMGjVK5zEjIyMyMzOZM2dOrvlcc3Nz1qxZk6O6mLRlEhcXJwK4ektzflDffinBWzEGXgNDADZQ4khJSRFL+pYtW/L1118TFBQEIP4v8fHHH9O0aVMaNGhAqVKlePLkiVA6k0wypVTClStXCAsLo1mzZrRr107rfVeuXMmkSZPEbFZKRUgdbhMnTsTHx0c8f9euXWzevBn4t8rh4MGDWiaY165dIyQkBGNjYxo2bPiaV8dAScJQhmagRBEeHs7gwYN5/PgxALGxsfz2228EBgbyxRdfiM43c3NzlEolT5480ZKiVKlUVK1alR9++IGgoCBRAZGenk6vXr345JNPCAsLQy6XizywqakpaWlp9OjRg9jYWLZu3SqOSa+XWptr1aqFsbExd+7cISIigtKlS+Pu7k5kZKR4TteuXQkPDxcmnunp6Xh6ehpE1d8zDGVob4CSVi7zto41LS0NFxcXQkNDsbOzo0WLFmzcuFGnjsIvv/zCpEmTeP78udYxqQFj3Lhx1KtXjwkTJuRahiZ1qxUlXbt2Zf369XlWWBQ1b/Pnn52SNlZdGGbABgpMSkoKa9eu5dSpUyiVSqytrRk6dCht2rQpkvOXKVOGsLAwrK2t8fX1xcbGBhcXF9atW8fly5d5+vQpCoWC9PR0Tp48KVwwGjVqxN9//010dDQJCQl8/fXX7NixgzVr1nD9+nUCAwNZtWoVv//+O9HR0aSlpaFQKLC0tGTYsGEMHToUf39/fH19efz4MY8ePeLVq1eMGzeOW7duER4eTrly5WjcuDG+vr4olUqqV69O69atMTc35/r168TExGBjY6OXiaeB9wfDDPgNUNK+qfUZq5QKePDggcbjMpmMIUOGCG2EgpLT+SGrWsHf319rrJKMpJSbzcjIwMnJiZEjR2qZVw4aNIjLly+zZ88eHBwc9B7X06dPadasGZaWljodL1asWMGiRYsYM2YM06ZNA97Nz/9toKSNVReGTTgD+SYtLQ0PDw8ePHiAnZ0du3btIigoiB9//DFXbYTXPf/nn38OZG2W5Xb+cePGiX8fO3ZMp3llCZ53GHiHMKQgDOSbgIAAQkNDRSpAqiKwsbGhevXqjBgxggULFuDm5qahgfu653d3d+fcuXMAzJ8/H2dnZ2bMmEFoaCgJCQlER0djbGzM/v37qVOnDn/++SdyuZxPP/2UNm3a4OnpyaNHj+jXrx/BwcHIZDL27NnDgQMHCAkJ4dWrV9StW5fRo0cL40/Icu7w9vYWqYayZcvy999/F4qWhYH3G0MANpBvQkNDAejbt69WN5izszOVK1cWspM5OUoU5PxOTk7Y2dkREhJCVFQUDRs21LIwUqlUhIeHi58zMjJ4+fIlzZo1Y926daxbt05UL2RmZmqUjUGW7OSRI0eYPn06I0aMyNG5A7JaoB8/fqyhZREZGYm9vT2dO3fO9+9t4P3DkIIwUGQU9jJfoVBo6ERkD76S+0Tp0qWZMWOGcKeIiIhg+PDhrFmzRgRfBwcHUUsMWW3E/v7+eHh4AFmt0j/99FOOzh3S+xdUy8KAATAEYAMFQApAu3bt0tC4hX8dJdQbDdSJi4tj9uzZGk4T169f1/v8ISEhGmVn6s0QtWrVok6dOqSkpBAcHEyDBg2QyWTiP8gKzkOGDKFt27bExMTQsmVLHBwciI6OZsqUKQQEBGBhYUFGRgbr168HcnbugKwSNRMTE8zMzPj888/x9/fXS8vCgAEwVEG8EUrabm1eY01PT8fFxYWQkBAaN27MlClTqFatmnCUSE5OZsWKFfTu3VvjdZcuXWLEiBFCq0HCyMhILPlzO/+uXbtYu3atXr+HVOubE5Im8YYNGzh+/Dh+fn46n1ehQgXRPKFO9+7duXr1qtbjukxF37XP/22hpI1VF4YZsIF8I6UCatWqRWhoKP3799dwlBg2bJhW8FUqlYwZM4bo6GjhNHHixAmNJf+lS5dyPX/24Ks+s4Us+/p69eoBWekPGxsbjedCVkC1sLAgKioKyMr5SqLoNjY2nDx5UiMvrFQqtRTKdu/eLYJvq1at9DIVNWBAF4YAbKBAWFtb89tvvzFp0iTs7e2pXbs2Xbp0YefOncyZM0fr+d7e3jx9+pSWLVvi7e2NsbExy5cv11jyz58/P8fzS+kMmUymEWTVZxY3b97UUDG7f/+++Lek3/DPP//QsGFDkbrYuHGjmCn369ePOnXqiPpeuVxOeno6w4YN4+uvv6ZNmzZ069aNGTNmiPN+/fXXepmKGjCgC0MK4g1Q0pZKRTHWb775hqNHj7JhwwaePHnC/PnztZwsZDIZe/fupXnz5lqv9/T0xM/PD1NTU1JTU197PJJFkUSlSpXYunUrx44dY8OGDWRmZtK5c2eOHj2a4zkaNGjA0aNHNTbcDI0Yb46SNlZdGGbABt4of/31F/PmzQP+dbKQlvyZmZmMHTs2V1Hy1NRUrK2t86WZUK1aNWxtbTUeUw++kGWg2b17d9asWQNkORpLYuo5UYLnLgbeEgwB2MAbQaps2Lhxo5aThbTkL1euHE+ePBEi5ikpKSxdupRu3bpx+vRpca65c+fStGlTcV71cjIptSAhk8nYsmULBw8epGzZslrP+eCDDwCoUqUKn376Ka6urhw+fJghQ4awc+dOAMzMzChbtizlypWjYcOG4jy3bt3SSDXoasSIi4tj/PjxuVZ9GHh/MQRgA28Ed3d3qlevLlTFbG1tuX37NvPnz2fp0qUoFApRBREaGkp4eDidOnVi2bJlhISEEBsbK841ePBgqlSpgkwm49q1axrHss9KMzMzGTJkCK1btxazXnWrocTERGQyGTExMXTu3BkPDw9SUlLo3LkzKpUKyJKbTExMJCEhgQcPHmhsMHp7e3Pv3j3OnDlD7969NRoxLl26RIcOHVi+fDk3btzg7t27+Pv7061bNzZu3FjIV9hAScSQA34DlLRcVVGN9fLly/Ts2VMrSBoZGTFjxgysrKwYNWoUTk5OPH/+XMhOTp06leDgYOHrpg/qWr66UJeYNDExIT09XWflgomJCQcPHgSygu3OnTsxMzPD2tpap32QjY0N27dvx8LCgg4dOvD06VO6devGiBEjMDMzY//+/aIbz8/PT2e+uzgx3KtFg0GO0kCxoa6lUKZMGZKSkrCyssLIyIj09HSMjIw4cOCAqA82MzPT0oKoWLEiixcvpnTp0qSkpCCTyTA2NqZUqVKYm5vz5MkT8dirV6+wsLAQymgmJia8fPlS1AZbWFgQHx+PsbExPXr0wM/Pjxo1apCQkCA2+FJTUylVqhQvX74kMjISZ2dnlixZItqXIyIigKwUSGJiIuXKlcPR0ZGRI0dSqlQpVq1aJao+/P39efbsGQBTp06lbNmyLFiwgEWLFglRIT8/P3x9fXny5AmWlpY4Ozvj7u5u6Kh7xzEEYANFSk5aClIdroTkcGFkZCSCjroWRIMGDXBxceHAgQNC8/e3334jODgYLy8vICvdIPm9ScE8IyNDBFVpDFLKwtbWljp16mi8vzqdOnUSZqGS5sN//vMffHx8SExMxN7env379+sMkuqmodkFidzd3VmwYAGhoaGoVCpGjBjB8ePHxfHw8HAuXLjA3r172bFjR47+dAZKPoYcsIEiY/fu3Tq1FHIKKMbGxqSlpXHmzBmdx728vLC3txepgrZt2zJx4kTi4uKArNrhzZs34+HhoREUdWXZFAoFoaGhLFmyBMhq0AgICCAgIIAKFSoAEPj/7d17VJTl9sDx74wMoFwMEZTCCwdJUiSBsvQXKGIqBSUlqLSs9BwLO0fyVmp29cIxLfJWyXGZii0FiVI5cVCx2yGxvGBaB7V0SXglEAVBYQbm9wdr3hiZUUjhBdufv+B9Z4Y9j67NwzP72U92NtHR0Vy5ckXp+TB37lygbmmiMT0fbrTCl5iYyI4dO3Bzc2Pp0qXk5OSwZs0apZ7Y9PPE7UkSsGgWtbW1LFq0CDDvpTBo0CBlUwTUrY3169eP5557jtzcXHr27KnMjq/tBeHi4sKkSZOAugTYu3dvgoKCAOjYsSPp6emMHDmS2bNns3TpUpydnc1icnBwUHbUffjhhwDKjPnRRx/Fz88PPz8/wsPDgboqDJ1Ox8aNG+nXrx/t27dXZrNarZY33nijwSGgJqaqj/Xr1zdYi167di0Afn5+fPDBB9jY2LBhwwaio6Px8vJi5MiRpKen4+zszNatW8nPz2/S2Iu2QxKwaBamdpTu7u488sgjZteLiopwcHAAICoqiqysLN544w08PDyIiYkB6no1nDx5ktGjR/PNN9/wyy+/sGrVKmbMmAHAkiVLOHLkCGPGjAHqWlV26dIFgKSkJKZNm9bgHLeKigpsbGzw8vKiW7duSjmavb29siUaYMqUKcrSR2ZmJsuWLePw4cNcuXJFmdFevXqV7OxsYmNjee211xq8f1PVR25uLpGRkezbt69B1cfjjz+OwWAgMDDQrP8w1JXFjRw5EsDiyRvi9iBrwKJVGjZsGLm5uUovCBONRmOx14TJd999x4IFC9BqtQQFBbF//36grknOiRMn2LVrF7t27TJ7zvPPP0+3bt2U73v06MG0adNISEjg4sWL7NmzR7mn1WqJiIhg//79nD59Gq1Wy0cffcS9995rFpOTkxPvv/8+kyZNIjMzk8zMTOWejY0Nr732Gr6+vtcdgzZcoCQaSRKwaBYeHh5Kx7H6J0d4eHjg6uqqfBC2ZcsWLly4QHx8PJ07d1Y2MoSGhjJv3jw+/PBDvvjiC8rKyvD29lZqek1Mf+r/5z//4eWXX+btt9+mtraW2bNno9Fo2L9/PxqNhrS0NCZNmsSBAwdwd3dHp9Nx+vRpoO5DrxkzZiiN4AMCApTdePW7qjk5OZGRkYGPjw/nzp0jNDRUmWVbOgHk/vvv58svv+Sjjz5i586dVFVV0adPHyZPnoyfnx9lZWXodDoOHDjAoUOHzHbrnTt3jqysLCUecXtqNXXAFRUV2NnZNWmLaVuqAfwzxpqWlsbUqVPp0KEDM2fOJCwsjPT0dFasWNFgdmdvb0+XLl2UjQzWqgssxfrCCy+wdetWevbsyenTp9Hr9cqf+qZE379/f0JCQli+fDm+vr78+uuvVFZWotPplA0X17K1taW6uhoPDw/Onj3LrFmziI+PV+5PmzaNzZs34+TkRHl5Ofv377fYA/l6Y7p48WKWLVtG586deeWVV7jvvvs4evQoCxYsoKCggFGjRinbo1vCn/X/anNTvQ64traWs2fPKjOSyMhI5d6FCxdISkpi7NixZn1URdsWHR3NoUOHWLt2LfPmzTPrkmZra4terzdbUy0oKKB79+5NPlFi4cKFFBYWmvXnNTXCCQkJobCwkIMHDyoz3CNHjqDRaIiJiWHr1q1WX/dGcxNLu+6aatq0aRw9epSsrCymT59udi8oKEgpsRO3pxb7EE6v15OXl2fWLhDqTsDNzMykY8eOLRWKaEHz589n48aNDB8+XKlK8Pf3Jz8/36y6wPSBWFFR0XWrC6516NAh5syZw5kzZ7Czs1OWAFxdXVm5ciWbNm0iOzubGTNmKD0c7r77bjZt2oRWq6WqqorHHnuM2NhYfH198fX15amnniIyMhK9Xo9Wq7VYlVF/iaC8vNzqCSA3otPpWLNmDStXrmTw4MF4e3szcOBAFi5cyGeffaaUxInbU4vNgO3s7IiIiGD37t1me/ezsrIIDAxUmnGL209ISAghISGEhYVRVlbG4sWLadeuHWvXrm3QmMZUXbBr1y4mTJjA/Pnzrb7uu+++y+zZsxu0tYS6zRbz58/nrrvuQqPRkJeXx+XLl/H09GTbtm04OTnx5ptvAjQ4BRnqEntGRgadOnWiuLgYGxsbTp48SWRkJCNHjiQ1NZXy8nJlU4hpzfmPioqKIioq6g8/X7RNqn4Id+jQIa5cuUKfPn2sJuCioiKLx9AMGTKEIUOGNHOEt461NaDWqLliNdX/urm5sXr1anbs2KGswd59990cO3ZM+b5du3Z89NFHDB48mKeffrrBa/33v//l5ZdfVr53dXVl8uTJ5OTkKJ3Tzp8/b5bUunbtSmpqqrL7rX48175n09ZhDw8PHnroIbZs2QJAfn6+WV1ubW0t8fHxZmvDlsi/f/NoS7FaomoCzs3N5erVqyQlJVFSUkJGRgZRUVFmJUHu7u7KTOVabWkBXmKt23hw+PBhEhISlC3Fer0eLy8v/P39OXbsGBEREezatUupLpg1axZhYWFoNBqlp8Tx48cpLCw02+Bw11138dBDD/H8888TExNDbm6uMjv18fEhNDSU+Ph4XFxclPd3zz33cPjwYYYPH46LiwteXl5MnDiRkJAQpfGPv78/ixcvZtiwYaSmpvLTTz9RXV1N+/btCQgIYOLEiQQHB193zOTfv3m0tVgtafEqCNMSRGRkJKWlpcqfj1u3biUoKIi+ffsqx4vfSFsafIkVCgoKePjhh6moqADqTqEoLi6mX79+HD58GEdHR7Kzs0lMTGxQXbBixQqLPSXq02q1vPbaa3Tt2pXJkyfj6enJqVOnWLJkCbGxsWaPPXHiBLGxsRQWFppd12g09OrVi59//lmJp/6E4I+Qf//m0dZitUSVnXCmtTIXFxfc3Nxwc3PD1taWO+64o9HJV7Q9PXr0IDExEXt7e6DuFApASb6JiYl069atQZLdtm2b0lPC0n9knU6HTqejtraWefPm8csvv1w3DoPBwJQpUygsLMTLy0uJB+oqGX7++Wfs7e2VeIRoLi2+BDFo0CCL1y2t8wn1GQwG1q9fz+eff85vv/2Gp6cnMTExjfrAqKCggDfffJPc3Fyqq6vp0KEDI0aM4OOPPyYmJgaj0YjRaGywweHa6oJVq1YBMH78eOXr+me66fV6ZT3XaDQqzc5NHdGu3ciwfft2Dh48iKurK507d6ampobq6mq0Wi0ajYbTp0/j5ORktoVaiOYgO+GEVRcuXODpp58260Vw4sQJvvnmGzIyMkhKSjJrrFNfRkYG8fHxSrMbqOuxm5KSQmZmJk8++SRpaWnY2NhQXl5OXFwc4eHhDaoL4uLieOONN3B3dzc7SujaWXL9zRSm51dVVTFq1CjlFGUT09bikpISs4ocgBEjRlBdXc1vv/3G+fPn/1BpmRCNJc14hFWvvPIKeXl5SpvHnJwc3nvvPTp37sz27dtZunSpxecVFBQwdepUqqur0Wg0jBs3jn/96188/PDDAJSVlfH1118zbNgw5TOAI0eO8N577ylrerW1tfz1r3+1OgutqKi4btlXTU0N/fv3t7iRwVRj7OLiYvF9mdaoW8kmUXEbkxmwsOinn34iIyNDafNo6jTm5eWFr6+vcoJwXFwcTk5OZs9dvnw5V69eBWDOnDn8/e9/B+paPk6fPp3U1FSKiooYMGAAo0aNUqoLqqqqlBMyXFxcqKysRK/XKz0l6lc92NjYYDAYlA/q6i9JmPo3hIeHN9jI8NNPPylrxI6OjgwePJj27dsr7+vRRx+lsrKSrl27yuxXNDuZAQuLTNt267d5aKFSpAAAEfpJREFUNPH39ycgIAC9Xm/xXDTTc6GuLWN9zz77rNnjoqKiSElJISEhAajbiHH58mUKCwvZtGkTDz/8sNKfNzk5WfnAzDRzLi8vp0uXLsqpF4DST8R0KoWl2FxdXSksLDRrd7l7927lcdHR0Te1sUKIxpAZsPhDbuWf5wUFBcyYMYPKykpiY2OVpG06BDMtLY3o6Gg++eQTiz/XtFXYdBBnYxLngw8+SH5+foN2lyaDBw++yXclxI3JDFhYVL/N47lz58zu/fDDD+Tl5aHT6fDz8wPqdjXGxcURGhpqdt7bunXrzJ5rOg0Cfq9OWL58ORUVFYwbN44lS5YoJ1O88847jB07loqKCuVkCh8fHwDlAzkbGxscHR35v//7P6WSxjRLDggIwGAwsGbNGp544gmCg4NJSUkB6nbSffzxx8ycOZPAwEB69erFwIED0Wq1Zu9LiOYkM2BhUf1DMJ988knmzp1L79692bt3LwkJCdTU1BAfH4+TkxNJSUkkJCRY7MmwaNEijh8/TmhoKJ988onSDL1r166MHz8e+H1ZwFIp4jPPPENKSgp5eXksWbKEjIwMwsLClFOQjUYjkZGRGI1GNmzYgEajoaysDE9PTyIiIhg1apTFEyXKysqIjY1l7ty5PPbYY8r7qq2t5cUXX2ywri1Ec5AELKyq3+bRdBabSXh4OFOnTjU7gSI+Pp5Ro0Zx+fJl5s6dy+HDhzEajWzevJnNmzcrz3V2diYpKekPJbn6J0389ttv1NTUsGnTJrPHuLu78/7775OQkKBUcbz66qvKL5AFCxZQUlLCyZMnrb4vIVqCJGBhlYuLC1u2bCE5OZl///vfykaMMWPG8PjjjwOYnUBhqnaAurPUHn/8cQ4cOIC9vT1GoxEHBwdGjBjB008/zfr165k1axbwew3v+vXrlVOKTUxLGIGBgcq1+idNbNu2TVny6NKlC0OHDiU+Pp4zZ87csIrDaDQSGBjIhQsXGrwvIVqCJGBxXe3atWPChAlMmDDB4n1TpcG11Q5arZZJkyYxefJkhg4dyurVq4G6DRqjR49Wam1NNBoNmzZtwmg0mn0Il5qaiqOjo9mhmVD3y+Hdd99VDum8lukMtutVcezdu5dZs2YxcODAxgyFELecJGDRYm5U7aDRaEhJSVE+KAPMekTcSrLJQrQGUgUhboqpWuLaaofa2lrWr18PNL7awWg04u3tbXYyRXZ2tnKg51dffcWzzz5LSEgIERERvPXWW8qGD2txNbaKQwg1yAxY3JRZs2bx5JNPsmTJEsrLy4mKiqK8vJzly5ezZ88ePD09m1TtYGtrS3Z2doP7c+fObdCOMi8vj+TkZJKTkxucJdiUKg4h1CIJWNyUAQMG8Prrr7NgwQJWrlzJypUrlXumaoSbTXKbN29m3bp1ODg48NJLLzF06FDOnj3Lu+++y/fff8+UKVOUBu/1NaaKQwg1SQIWN23SpEk8+OCDfPjhh+Tn52NnZ8fAgQOVEyhMAgICOHLkSKOrHaBuKWPRokUALF26VGnO4+3tTUREBH379iUvL4/t27cr9woKCli+fLky4w4KCqKmpoby8nKpdhCtiiRgcUv069fP4tl99U2ZMoVt27Y1qdrh3LlznD9/Hnd39wad0Tp06EBMTAyLFy/m4MGDPPLII2RkZDBjxowGVRYODg4kJiYSERFxC96tELeGfAgnWozpRAwHBwdSUlIIDw9XegDfimqHa6sstm/fzvbt2xk3bhwVFRVMnz6dX3/99Ra+IyFujsyARYtIT08nLS2N06dP4+Pjg42NjdI+MigoiClTplhMvh4eHko7ys8//1ypiIC6nsCpqalA3fKGqcoiNjZWOVQT4J133sFoNJKSksKKFSvM7gmhJknAolnp9Xqee+45duzY0eBeQEAAGzZsMFsnvpZGo2HOnDlMnTqVqVOncurUKaUXRGJiIgUFBQQGBjJ8+HBlXflGPSWEaC1kCUI0q8TERHbs2IGbmxtLly4lJyeHNWvW0LNnT/Ly8pg7d+4NXyM6OpqJEydy5coV5s2bx+DBg4mNjWXfvn14e3uzYsWKBhUQQrQFkoBFs7l06RIffPABNjY2bNiwgejoaLy8vBg5ciTp6ek4OzuzdetW8vPzb/ha8+fPZ+PGjQwfPpxevXoRGBjIvHnz2LFjBz179gR+3/Bh2gBSn7UqCyHUJEsQotn873//w2AwMGDAAPr162d2r2vXrowcOZLNmzeTl5fX4OBMS0JCQggJCVG+v/POO5Uz5OCPVVkIoSZJwEI1t7ofg6nKYvr06S3WU0KImyEJWDSbvn37otPpOHDgAIcOHcLf31+5d+7cObKysoDflw5uhYiICPz9/VmxYgUHDhwArl9lIYSaJAGLZuPs7MwLL7zAsmXLGD9+PK+88gr33XcfR48eZcGCBZSXlzNq1KhGLT80Rffu3aXUTLQJkoBFs5o2bRpHjx4lKyuL6dOnm90LCgpi4cKFKkUmhPokAYtmpdPpWLNmDZ999hlpaWmcOnUKd3d3IiIiGD9+vJSPiT81ScCiRURFRREVFaV2GEK0KlIHLIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKpEELIQQKmkVCbiyspLa2lq1wxBCiBZl01I/qLa2lrNnz7J//340Gg2RkZGUlpaSlpZG+/bt0Wq1dO3albCwsJYKSQghVNViM2C9Xk9eXh5FRUXKtQMHDtCzZ0/Gjx9PTEwMu3fv5tKlSy0VkhBCqKrFZsB2dnZERESwe/duSkpKAAgJCVHuHz16FCcnJ5ydnVsqJCGEUFWLJWBLdDodBoOBnTt3kpeXR1RUFBqNxuwxRUVFfPDBBw2e2717dyZOnNhSod6Ur776iiFDhqgdRqNIrLdeW4kTJNbmkp2dzbBhwxpcVzUB6/V6UlJSaNeuHXFxcRZnv+7u7rz55psNrlu61lq1pf8oEuut11biBIm1ueTk5LS+BLx//34AYmNj1QxDCCFUoUoCNi0znDp1iuPHj/PWW28p91544QXc3NzUCEsIIVpUiyfgQYMGKV+PHj2a0aNHt3QIQgjRKrSKjRhCCPFnpDEajUa1g/gjioqKcHd3VzuMRpFYm0dbibWtxAkSa3OxFmubTcBCCNHWyRKEEEKoRBKwEEKo5LZIwJWVlWqH0EBrjOl6KioqMBgMaofRKG0pVnFrVVVVcfXqVbXDMHMzMam6EeNmnT9/nk8//ZQ77rgDvV6Pv78/vXr1Ii0tDa1WS1lZGQMHDuS+++5TNSY/Pz8SExPp1q0bAJ06dWLEiBEtFtONXLhwgaSkJMaOHYubm5uq43cj9WPt1q1bqxtXg8FgMabLly+3unG1Fqu162rS6/V8+umnVFVVodFo6NKlC8OHD1d1XK3F1JTxa9MJ+OjRozz44IMEBARw7Ngxdu7cSWlpKXfeeScjRoygrKyM5cuX4+/vj62trWoxeXh40K1bN2JiYmjXrl2LxNFYBoOBzMxMOnbsCMDevXtVHb/ruTbWkpKSVjeu1mJqjeNqLdbWOK4HDx7Ezs6OMWPGYDQa+fHHH6mtrVV1XK3F1JTxa9MJ2NRNbffu3eTl5eHn50dxcTF/+ctfAHByckKj0VBeXo6rq6tqMZWUlHDy5EkSEhJwd3cnLCyMXr16tUg8N5KVlUVgYCDff/89UDfDVHP8rufaWFvjuFqLqTWOq7VYW+O4lpaWcunSJZYsWYKDgwOhoaFotVpVx9VaTE0Zv9tiDbimpgadTseJEyeoqqpSfutoNBrs7e0bdFhr6Zh0Oh2DBg1i9uzZBAYGkpmZSWuo/jt06BBXrlyhT58+yrXWMn7XshRraxxXazG1xnG1FmtrHNeysjJKS0t55plnGDRoEFlZWaqPq7WYmjJ+bToB//jjj1y6dIng4GDGjx/PqVOn6Nixo9LUvba2Fr1ej4uLi6oxderUieDgYHQ6HUFBQZSXl7eKxvO5ubmcOXOGpKQkzpw5Q0ZGBvb29qqOnzWWYtXpdK1uXL28vCzG5O7u3urG1Vqs1q6ryd7eHl9fX9zd3enfvz81NTUUFxerOq7WYmrK+LXpBFxYWMh3332H0Wjk4sWLdOjQgR49evDLL78AcPjwYVxcXFp0pmEppn379rFt2zYAfv31VxwdHbnjjjtaLCZrYmJiiI2N5YknnsDd3Z3g4GC8vb1VHT9rLMWan5/f6sb1iy++sBiTh4dHqxtXa7Fau64mDw8PTp06hcFgUA50cHV1VXVcrcXUlPFr0zvhzp07x7Zt2ygvL0er1RISEoK/vz/JyclcvHiRqqoqnnrqKXr06KFqTD4+Pqxfvx6tVotGo2HIkCFmf0q3BsnJyQQHB+Pp6anq+DWGKVZXV9dWN65lZWUWY9Lr9a1uXK3Fau26mgwGAxkZGcqSXkhICP3791d1XK3F1JTxa9MJ2KSsrExZgDcpLS3F2dlZtU9xLcVUVlbWZo5cUnv8mqI1jqu1mFrjuFqLtTWOa2VlJfb29mi15n+8qzmu1mJqzPjdFglYCCHaoja9BiyEEG2ZJGAhhFCJJGAhhFCJJGAhhFCJJGAhhFCJJGDRolavXk27du345ptvGtxLT09Ho9GwceNGtmzZgkajYfPmzWZfW9OYx/xRpaWlvPrqq3zxxRekp6djZ2dHRkbGLf854s9HErBoUbW1tdTW1lrcG+/j48OLL76Ir6+vct9oNJp9bU1jHvNHlZaWsnDhQr7++mtqamqorq6mpqbmlv8c8ecjCVioYtWqVfj4+ODn58enn34K1B1c+NVXX3H+/Pmbeu2amhpWr17NAw88QPfu3Zk6dSp6vZ6dO3cSGBjIlClT6Nu3L0FBQaSlpQF1vxjmzJlD9+7d6d+/P3FxcfTv35/y8nKeffZZANauXcu3334LwMaNG+nRowdeXl4kJydfN56MjAwCAwP5xz/+Qe/evRkwYABpaWkMHDgQT09P3nnnnSY9Ttw+JAELVXz22Wf07duX/Px8/va3v2EwGLh06RI//PADpaWlN/Xau3bt4rnnnsPLy4uwsDCWLVvGwoULKS0tJS8vj+TkZEJDQzl+/DgvvfQSRqORb7/9lkWLFlFdXc0999zD6tWr+eGHHzAYDISHhwPg5+fHXXfdBcCePXsYM2YMpaWlxMXFXfeEjpKSEvLy8tixYwf33nsve/fuZdy4cfj4+KDX65k9ezYlJSWNfpy4fUgCFqpYt24dW7ZsYd68eZSWllpcE/6jUlNTAXB3d1eas2zdulW5n5iYyMqVK3nssccoKCiguLhYaZ6Sk5PDpk2bCA0NVR4/ZswYAO6//3569uwJwMyZM1m8eDHh4eFcuXKFioqKG8aVkJBAamoqtra2BAcHk5yczNixY6mpqTFLrI19nGj72nRDdtF22dnZAdChQweAW3rG288//wzU9YfVaDRMmzYNNzc35b6pWXf9UxPKy8sBcHBwMIvPmu7duwN1LQmhbgnjRuzs7NBoNOh0Otq3bw9g1su2qY8TbZ/MgIUqEhISWLduHatWrcLR0ZHBgwffste+//77gbpE+8ADD/Dll1/ecIb6xBNPABAaGsrMmTPJzs5u8Jhjx46p3hdX3F5kBixalGkGV11dzcSJE9FqtSxatMhsxmmauVr6+kavq9FoeP311ykqKuLtt9+msrKSPn36MGHCBPbt29fgsSZDhw7ln//8J++//z4ZGRl4e3uTn5+PVqule/fu9O7dm5SUlAYz0cbMSK99TP3vLb3PGz1O3D6kG5pQzYULF7C1tcXR0bHRz/n8888tXg8JCcHJycns2uXLlykuLqZHjx43TFw5OTl8+eWXRERE0KVLF0aMGMHFixcpLCwE6pYYLl68iIODg9XliabEJgTIDFioqFOnTk1+TnFxscXrlupyHR0dG53cvby8eOSRR3j99dexsbHBYDCwYMEC5b5Wq71hvE2JTQiQGbAQioqKCvbs2UNxcTH9+vVT/RQIcfuTBCyEECqRKgghhFCJJGAhhFCJJGAhhFDJ/wO29oIPbGkezgAAAABJRU5ErkJggg==" width="50%" />
<p>Interactive elements are generated using selections, for example, we can generate a rectangular brush with <code>select_interval()</code> and then highlight points that fall into the brush using <code>encode_if()</code>:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>selection <span class="ot"><-</span> <span class="fu">select_interval</span>()</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>p <span class="ot"><-</span> penguins <span class="sc">%>%</span> </span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">vega</span>() <span class="sc">%>%</span> </span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">mark_circle</span>(</span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">enc</span>(</span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> bill_length_mm, </span>
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> bill_depth_mm, </span>
<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a> <span class="at">color =</span> <span class="fu">encode_if</span>(selection, species, <span class="st">"black"</span>)</span>
<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a> )</span>
<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a> )</span>
<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a>p</span></code></pre></div>
<p><img src="data:image/png;base64,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" /></p>
<p>Once a selection is created, it can be passed into other marks, in order to perform a filter. Here, we create a chart with two histogram layers, the first will represent the overall distribution of penguin body masses, while the latter will be the distribution conditional on the selection, and will be shown in purple. We also overlay a vertical line to demonstrate the interactive average given the selection.</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>p_right <span class="ot"><-</span> penguins <span class="sc">%>%</span> </span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">vega</span>(<span class="fu">enc</span>(<span class="at">x =</span> body_mass_g)) <span class="sc">%>%</span> </span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">mark_histogram</span>(<span class="at">bin =</span> <span class="fu">list</span>(<span class="at">maxbins =</span> <span class="dv">20</span>)) <span class="sc">%>%</span> </span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">mark_histogram</span>(<span class="at">color =</span> <span class="st">"purple"</span>, <span class="at">bin =</span> <span class="fu">list</span>(<span class="at">maxbins =</span> <span class="dv">20</span>),</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> <span class="at">selection =</span> selection) <span class="sc">%>%</span> </span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">mark_rule</span>(<span class="fu">enc</span>(<span class="at">x =</span> <span class="fu">vg_mean</span>(body_mass_g)), <span class="at">color =</span> <span class="st">"red"</span>, <span class="at">size =</span> <span class="dv">4</span>,</span>
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a> <span class="at">selection =</span> selection)</span>
<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>p_right</span></code></pre></div>
<p><img 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/></p>
<p>By itself, this histogram isn’t too exciting but if we place along side the scatter plot of penguin bill measurements, we can see how the body mass counts change as we brush over the scatter plot. All we have do is simple concatenate the plots horizontally!</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="fu">hconcat</span>(p, p_right)</span></code></pre></div>
<p><img 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" /></p>
<p>From this, we learn that the chinstrap and adelie penguins are generally lighter and are less variable in their body mass compared to gentoo penguins. The gentoo penguins are heavier, but also have a larger range of masses.</p>
<h2 id="learning-more">Learning more</h2>
<ul>
<li><a href="articles/gallery/index.html">Example gallery</a></li>
<li><a href="articles/virgo.html">Using <strong>virgo</strong> to explore Melbourne’s microclimate</a></li>
<li><a href="articles/transition.html">Guide to <strong>virgo</strong> for <strong>ggplot2</strong> users</a></li>
<li><a href>Composing plot interactions with selections</a></li>
</ul>
<h2 id="lifecycle">Lifecycle</h2>
<p><a href="https://www.tidyverse.org/lifecycle/#experimental"><img src="data:image/svg+xml;charset=utf-8;base64,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" alt="Lifecycle: experimental" /></a></p>
<p>The <strong>virgo</strong> package is under rapid development and we are still working through our ideas for incorporating interactive graphics into exploratory data analysis. If you have feedback we would love to hear it!</p>
<h2 id="related-works">Related works</h2>
<ul>
<li><a href="http://ggvis.rstudio.com">{ggvis}</a></li>
<li><a href="https://github.com/hrbrmstr/vegalite">{vegalite}</a></li>
<li><a href="https://g2r.opifex.org">{g2r}</a></li>
<li><a href="https://davidgohel.github.io/ggiraph/">{ggiraph}</a></li>
</ul>
<h2 id="acknowledgements">Acknowledgements</h2>
<ul>
<li>Vega/Vega-Lite developers</li>
<li>Ian Lyttle, Hayley Jepson and Alicia Schep for their foundational work in the <a href="https://vegawidget.github.io/vegawidget/"><strong>vegawidget</strong></a> package</li>
</ul>
</body>
</html>