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<h1 class="title toc-ignore">Overview of the egg package</h1>
<h4 class="author">Baptiste Auguié</h4>
<h4 class="date">2019-07-13</h4>
<p>This document provides a brief overview of the main utiilty functions included in the <code>egg</code> package.</p>
<div id="exposing-ggplot2-layouts" class="section level2">
<h2>Exposing ggplot2 layouts</h2>
<p>The function <code>expose_layout</code> can be useful to illustrate the structure of ggplot2 plots, e.g. when ying to customise and/or post-process the gtable layout.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">p1 <-<span class="st"> </span><span class="kw">qplot</span>(mpg, wt, <span class="dt">data =</span> mtcars, <span class="dt">colour =</span> cyl)</a>
<a class="sourceLine" id="cb1-2" data-line-number="2">p2 <-<span class="st"> </span><span class="kw">qplot</span>(mpg, <span class="dt">data =</span> mtcars) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"title"</span>)</a>
<a class="sourceLine" id="cb1-3" data-line-number="3">p3 <-<span class="st"> </span><span class="kw">qplot</span>(mpg, <span class="dt">data =</span> mtcars, <span class="dt">geom =</span> <span class="st">"dotplot"</span>)</a>
<a class="sourceLine" id="cb1-4" data-line-number="4">p4 <-</a>
<a class="sourceLine" id="cb1-5" data-line-number="5">p1 <span class="op">+</span><span class="st"> </span><span class="kw">facet_wrap</span>( <span class="op">~</span><span class="st"> </span>carb, <span class="dt">nrow =</span> <span class="dv">1</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.position =</span> <span class="st">"none"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb1-6" data-line-number="6"><span class="kw">ggtitle</span>(<span class="st">"facetted plot"</span>)</a>
<a class="sourceLine" id="cb1-7" data-line-number="7">pl <-<span class="st"> </span><span class="kw">lapply</span>(<span class="kw">list</span>(p1, p2, p3, p4), expose_layout, <span class="ot">FALSE</span>, <span class="ot">FALSE</span>)</a>
<a class="sourceLine" id="cb1-8" data-line-number="8"><span class="kw">grid.arrange</span>(</a>
<a class="sourceLine" id="cb1-9" data-line-number="9"><span class="dt">grobs =</span> pl,</a>
<a class="sourceLine" id="cb1-10" data-line-number="10"><span class="dt">widths =</span> <span class="kw">c</span>(<span class="fl">1.2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</a>
<a class="sourceLine" id="cb1-11" data-line-number="11"><span class="dt">layout_matrix =</span> <span class="kw">rbind</span>(<span class="kw">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">3</span>),</a>
<a class="sourceLine" id="cb1-12" data-line-number="12"><span class="kw">c</span>(<span class="dv">4</span>, <span class="dv">4</span>, <span class="dv">4</span>))</a>
<a class="sourceLine" id="cb1-13" data-line-number="13">)</a></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAEgCAYAAABrZMGAAAAEDWlDQ1BJQ0MgUHJvZmlsZQAAOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9oU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvuuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTvYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8eUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiYMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpkhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thKbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpXzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477hLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549HQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgYhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjzhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VVBg/m8AABv6SURBVHgB7dzbjyTXXQfwX3V1z+zcdpZ4vXGiTezFmCTkAUIISgKKhPKAIhEgQoBEeAj/HxIPPHB5QgkSBCELJBvlakwSx3YcezO7O9e+FNWznmg93dXTU9N9pnrr09J4dupUnXPq8zun+9tzcTYYDIryIzwIEHi6Bbrd7ukN2u9Pd53d3XIF7KPl+uq9HQLjfdQdvxgdHh62447dJYEWC2xsbJzevf3e4kXg1q8sYB9dmVAHBGK8jzocCBAgQIAAAQIECKQUEEBTahuLAAECBAgQIEDAd0CtAQIECBAgQIAAgbQCvgOa1ttoBAgQIECAAIHWCzz+s9gKhrO/9qtonutwp9OJ0Wg017lnJ62trUWWZWdf+kxgLoH9/f25zjt/0iLW+fk+r/PrVfsr9zzP7ffrXDDGnipQdx8t4vmkzuvm1Ju4xMHxvMd70YPAIgVmvS5XBtDxYtza2opB0b/CXLLodXpxMhhGUczfTa/rG7PzaznzTGD8xuXk5OTsy7k+j68Z/zXecHC5N0lzdX4NJ+Xl3hlv+Lovntcw5dje3iqHHftf4kniOiZqzBYJdGvto+t83bxqcXp5p3wjeNVeXE/ggwKbm5txcHDwwYPvf1UZQMft4/D57+/8y/unXv5TnuXxxTtfjm+9+la8vXc0dwd/+Xv3YvTyt2P03e/MfY0T2y2w/td/U77JqRdgTg768dp//OSpAHzp959fyfvIslfLee+t5NxN+ukTKIov1L6p63rdrD3h9y/84ifvxMfz4+j/w99ftSvXEzgVWPv6N2I4HFZq+FZjJY0GAgQIECBAgACBZQgIoMtQ1ScBAgQIECBAgEClgABaSaOBAAECBAgQIEBgGQIC6DJU9UmAAAECBAgQIFApIIBW0mggQIAAAQIECBBYhoAAugxVfRIgQIAAAQIECFQKCKCVNBoIECBAgAABAgSWISCALkNVnwQIECBAgAABApUCAmgljQYCBAgQIECAAIFlCAigy1DVJwECBAgQIECAQKWAAFpJo4EAAQIECBAgQGAZAgLoMlT1SYAAAQIECBAgUCkggFbSaCBAgAABAgQIEFiGgAC6DFV9EiBAgAABAgQIVAoIoJU0GggQIECAAAECBJYhIIAuQ1WfBAgQIECAAAEClQICaCWNBgIECBAgQIAAgWUICKDLUNUnAQIECBAgQIBApYAAWkmjgQABAgQIECBAYBkCAugyVPVJgAABAgQIECBQKSCAVtJoIECAAAECBAgQWIZAdxmd6pMAgdUS6HQ6sX5j/cqTzvM8BoPRJfvJoijuldcMLnmd0wksSyCPbrdbrmVrclnC+iUggFoDBAjEOIB2e914Y//12hqdrBN31+7Fj3/+MPaP+nP38xsf/5XIiu0oU+jc1ziRwFIFOtlSu9c5AQIRAqhVQIDAqcCoGMb/7f+wtkae5XF361689taDeHvvaO5+PnX3Vgxf/naMvvudua9xIoFlCqx9/Rvl+yFviJZprG8CfgfUGiBAgAABAgQIEEgqIIAm5TYYAQIECBAgQICAAGoNECBAgAABAgQIJBUQQJNyG4wAAQIECBAgQEAAtQYIECBAgAABAgSSCgigSbkNRoAAAQIECBAgIIBaAwQIECBAgAABAkkFBNCk3AYjQIAAAQIECBAQQK0BAgQIECBAgACBpAICaFJugxEgQIAAAQIECAig1gABAgQIECBAgEBSAQE0KbfBCBAgQIAAAQIEBFBrgAABAgQIECBAIKmAAJqU22AECBAgQIAAAQICqDVAgAABAgQIECCQVEAATcptMAIECBAgQIAAAQHUGiBAgAABAgQIEEgqIIAm5TYYAQIECBAgQICAAGoNECBAgAABAgQIJBUQQJNyG4wAAQIECBAgQEAAtQYIECBAgAABAgSSCgigSbkNRoAAAQIECBAgIIBaAwQIECBAgAABAkkFBNCk3AYjQIAAAQIECBAQQK0BAgQIECBAgACBpAICaFJugxEgQIAAAQIECAig1gABAgQIECBAgEBSAQE0KbfBCBAgQIAAAQIEBFBrgAABAgQIECBAIKmAAJqU22AECBAgQIAAAQICqDVAgAABAgQIECCQVEAATcptMAIECBAgQIAAAQHUGiBAgAABAgQIEEgqIIAm5TYYAQIECBAgQICAAGoNECBAgAABAgQIJBUQQJNyG4wAAQIECBAgQEAAtQYIECBAgAABAgSSCgigSbkNRoAAAQIECBAgIIBaAwQIECBAgAABAkkFBNCk3AYjQIAAAQIECBAQQK0BAgQIECBAgACBpAICaFJugxEgQIAAAQIECAig1gABAgQIECBAgEBSAQE0KbfBCBAgQIAAAQIEBFBrgAABAgQIECBAIKmAAJqU22AECBAgQIAAAQICqDVAgAABAgQIECCQVEAATcptMAIECBAgQIAAAQHUGiBAgAABAgQIEEgqIIAm5TYYAQIECBAgQICAAGoNECBAgAABAgQIJBUQQJNyG4wAAQIECBAgQEAAtQYIECBAgAABAgSSCgigSbkNRoAAAQIECBAgIIBaAwQIECBAgAABAkkFBNCk3AYjQIAAAQIECBAQQK0BAgQIECBAgACBpAICaFJugxEgQIAAAQIECAig1gABAgQIECBAgEBSAQE0KbfBCBAgQIAAAQIEBFBrgAABAgQIECBAIKmAAJqU22AECBAgQIAAAQICqDVAgAABAgQIECCQVEAATcptMAIECBAgQIAAAQHUGiBAgAABAgQIEEgqIIAm5TYYAQIECBAgQICAAGoNECBAgAABAgQIJBUQQJNyG4wAAQIECBAgQKA7iyDPuvHizqdmnTKzrZNlp+2fuLsbH3t2e+a5TzZ2Ollkn/7NyF/65JOH/ZvAUgS6a3k89+u3l9J36k47+eM9V2dc+72OmmueVoHs/devy97fde2jy87z/Pl3dm9Elm9E74/+9HyTrwnUFpi1jyoD6HA4jP5JP57J79QeeHzhYDCIZ7d7EeOPOR9FEfHmURFHx/mcVzit7QIv3ooYjUaXZhivzzzPY/P2+qWvbeIF/X4/xnv3sg/7/bJizn+aBe7drPd8cp376Kr1yMs3r3vHw3j30OvuVS1d/1jgon1UGUCLMgUeHh5ei2Ovtxb/8+NfxDt7R9cyvkFXT+DFj5SvGDUe49B6Xeu8xnSXdon9vjRaHa+gwN3bW7Xe0F7nProq842NjXjr/mG8/Nq7V+3K9QROBS7aR34H1EIhQIAAAQIECBBIKiCAJuU2GAECBAgQIECAgABqDRAgQIAAAQIECCQVEECTchuMAAECBAgQIEBAALUGCBAgQIAAAQIEkgoIoEm5DUaAAAECBAgQICCAWgMECBAgQIAAAQJJBQTQpNwGI0CAAAECBAgQEECtAQIECBAgQIAAgaQCAmhSboMRIECAAAECBAgIoNYAAQIECBAgQIBAUgEBNCm3wQgQIECAAAECBARQa4AAAQIECBAgQCCpgACalNtgBAgQIECAAAEC3aYSfGhrPaTjplanafPKmjYh87mkgP1+STCnL1Uga+lTysZ6Hh/evbFUW523R+CifdTMAJoV8dlfu92eKrnThQhkF632hYyik4UL2O8LJ9Xh1QUGnXZ9C6Sb5/H8szunH1fX0wOBxwKz9lEzA2g571fuvxwP+vfVkMBcAl+88+UoimKuc53UPAH7vXk1afOMPnf7SzEajVpFMBwO42cnP43XH32/VfftZpcncNE+amwAHRbDGH94ECDw9AvY709/jVfrDtv5ZnZUjLzurtZCbfhsZ++jdv2MoeGlMj0CBAgQIECAQBsEBNA2VNk9EiBAgAABAgQaJCCANqgYpkKAAAECBAgQaIOAANqGKrtHAgQIECBAgECDBATQBhXDVAgQIECAAAECbRAQQNtQZfdIgAABAgQIEGiQgADaoGKYCgECBAgQIECgDQICaBuq7B4JECBAgAABAg0SEEAbVAxTIUCAAAECBAi0QUAAbUOV3SMBAgQIECBAoEECAmiDimEqBAgQIECAAIE2CAigbaiyeyRAgAABAgQINEhAAG1QMUyFAAECBAgQINAGAQG0DVV2jwQIECBAgACBBgl0GzSXD0zl07c+E0WMPnDMFwSmC2TTDzu6MgL2+8qUqhUT7Wa9OI6TVtzrkzf50c2PxYc3PvrkIf8mUFvgon3UyAC6/2g/skyoqF31Fl54XL5cDIfDFt756t+y/b76NXza7mAcPgeDwdN2WzPv5+joKPr9fOY5GglcRuCifdTIACpIXKbEziWw2gL2+2rXz+yfDoGiKFoXup+Oyq3uXfgd0NWtnZkTIECAAAECBFZSQABdybKZNAECBAgQIEBgdQUE0NWtnZkTIECAAAECBFZSQABdybKZNAECBAgQIEBgdQWy8i/9irb9td/qlsvMCdQX6HYf/82h/V7f0JUE7CNrgMDVBcb7qJF/BX/1W9MDAQLnBQTP8yK+JnB5Afvo8mauIDBNoDveTIeHh9PaHCNAgAABAgQIECCwUIGNjY3wO6ALJdUZAQIECBAgQIDARQIC6EVC2gkQIECAAAECBBYqIIAulFNnBAgQIECAAAECFwkIoBcJaSdAgAABAgQIEFioQCP/Cj7P88iybKE3qjMCBAgQIECAAIF0ArP+rxGNDKDb21ulzqj8KNIpGYkAAQIECBAgQGBBAt3Y39+PqhDayAA6vvMse7X8796CEHRDgAABAgQIECCQSqAovjBzKL8DOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFBNBFi+qPAAECBAgQIEBgpoAAOpNHIwECBAgQIECAwKIFuovucDH9ZVEU98quBovpTi9XEChmXJvNaNOUVkCd0nrXHa2qTvZSXdHlXKdOy3FdZK9VNRqPYT8tUrp+X3l0OtXf52xkAC1Go8iyrfKeZy2w+iSunFMg65RvBKrPzcZ7vBhVn6AljYA6pXG+0ijlZik3jP10JcTlX3xao+rw8vg5b/ykOOOJcfmzNILnvNVYA+VWGg6HlXNtZAA92t+LG+98M2L/zcqJa1i+QPbc5+NB74XTF85po231+pH/8G+nNTmWUKC49yfxcLhZOeLNeC/iR/9U2a4hgUB+I/rPfzUOB9OfcjtZEduPXol4t/zwuD6BWy/F/u5nY1hMD6E38mGsvVHupZO965ujkSPu/kE86DxXKbHdPYrOa39X2a4hjcDoV/+sDKBrlYNVf2+08hINBAgQIECAAAECBOoLCKD17VxJgAABAgQIECBQQ0AArYHmEgIECBAgQIAAgfoCAmh9O1cSIECAAAECBAjUEBBAa6C5hAABAgQIECBAoL6AAFrfzpUECBAgQIAAAQI1BATQGmguIUCAAAECBAgQqC8ggNa3cyUBAgQIECBAgEANAQG0BppLCBAgQIAAAQIE6gsIoPXtXEmAAAECBAgQIFBDQACtgeYSAgQIECBAgACB+gICaH07VxIgQIAAAQIECNQQEEBroLmEAAECBAgQIECgvoAAWt/OlQQIECBAgAABAjUEBNAaaC4hQIAAAQIECBCoLyCA1rdzJQECBAgQIECAQA0BAbQGmksIECBAgAABAgTqCwig9e1cSYAAAQIECBAgUENAAK2B5hICBAgQIECAAIH6At1Zl2ZZFuOP1I8sKyK6mxG9ndRDG+9JgXztya+m/1uNprskPXrBHu3k9lLSekwZrHtjysFzh/LyHPvpHEriL7sbFw/Y24ooRhef54zlCXR6F/RdPifaSxcYXX9zdnR0VBweHk7MpNvtxvb29sTxyx4oiqJWiB08uh8xGlx2OOcvUKCzvhmDrBcHBwcTveZ5Xq6PrRg+fHeizYG0Ap3NW3F4fBL9fn9i4PX19VjvZjE6fDjR5kBKgSzynWfiwYMHMX5OPP/Y3tqKbHAURf/ofJOvEwpk3fJN99pWPHz0aOqou7u7MXz0ngA6VSfdwc6N7TgZZVHml4lBx9llc2MjRvtlnTyuVSDfuX1ao+Pj44l5bJQ1mvkd0P6oH//5829NXDjvgTzrxu8++6X45qtvxs/2JhdKVT9f+/zzEd/7QQx/8L2qUxxPIND58h9G7Mx6p5nF8B//OcFMDDFLIP/aX1S+yTv9CcZgpE6zABO0ZTs3o/uVr1aPNP5J08/fi+G//Wv1OVqWLpD/9uciu/di5Tjj/TR6+b+jePvNynM0LF+g85U/jmxt+k/oTn9yW07Ba9Py63DRCPmf/9XMU2YG0PJtXgyK+t+FLMrrx49++QJ4Un7M/SgvK4bluCcnc1/ixCUITPlOzcQoajRB0rgD422oTtdalqI/x3PZsHyOVKdrrVMMhxePP/5Jgzpd7LTUMx5ni5lDqNFMniY0+iOkJlTBHAgQIECAAAECLRIQQFtUbLdKgAABAgQIEGiCgADahCqYAwECBAgQIECgRQICaIuK7VYJECBAgAABAk0QEECbUAVzIECAAAECBAi0SEAAbVGx3SoBAgQIECBAoAkCAmgTqmAOBAgQIECAAIEWCQigLSq2WyVAgAABAgQINEFAAG1CFcyBAAECBAgQINAiAQG0RcV2qwQIECBAgACBJggIoE2ogjkQIECAAAECBFokIIC2qNhulQABAgQIECDQBAEBtAlVMAcCBAgQIECAQIsEBNAWFdutEiBAgAABAgSaICCANqEK5kCAAAECBAgQaJGAANqiYrtVAgQIECBAgEATBATQJlTBHAgQIECAAAECLRIQQFtUbLdKgAABAgQIEGiCgADahCqYAwECBAgQIECgRQICaIuK7VYJECBAgAABAk0QEECbUAVzIECAAAECBAi0SEAAbVGx3SoBAgQIECBAoAkCAmgTqmAOBAgQIECAAIEWCQigLSq2WyVAgAABAgQINEFAAG1CFcyBAAECBAgQINAiAQG0RcV2qwQIECBAgACBJggIoE2ogjkQIECAAAECBFokIIC2qNhulQABAgQIECDQBAEBtAlVMAcCBAgQIECAQIsEBNAWFdutEiBAgAABAgSaICCANqEK5kCAAAECBAgQaJGAANqiYrtVAgQIECBAgEATBATQJlTBHAgQIECAAAECLRIQQFtUbLdKgAABAgQIEGiCgADahCqYAwECBAgQIECgRQICaIuK7VYJECBAgAABAk0QEECbUAVzIECAAAECBAi0SEAAbVGx3SoBAgQIECBAoAkCAmgTqmAOBAgQIECAAIEWCQigLSq2WyVAgAABAgQINEFAAG1CFcyBAAECBAgQINAiAQG0RcV2qwQIECBAgACBJggIoE2ogjkQIECAAAECBFokIIC2qNhulQABAgQIECDQBAEBtAlVMAcCBAgQIECAQIsEsqOjo+Lw8HDilrvdbmxubcZbh29MtM17oJNl8dzG3fjJu4/i4Hg472Xx0kduRjmpiJPjua9x4uIFsu2dGFft0aNHE52P18fW1lYUe7+YaHMgrUB2czeOjo/juPw4/9jY2Ii1slbFwwfnm3ydUqDTiU5Zp729vSiKYmLkmzs7kQ2HURzsT7Q5kE4gu7ERxdpaPHgwfb/cunUrRuPnw0E/3aSMNCGQ7dyMfrlfDg4OJtp6vV5sls97xYO9iTYH0gpku7dOX5fKnDkx8Pi1qTtx9P0Dw7K4/ZN+PJPfqTplruODwSCe3e5FjD/mfIyfn98+LuLgKJ/zCqctQ+DO2ihu9LKpXZ+9iP7voRpNBUp48Pmd2YOdjCJ+ok6zkZbcmudZvHCzepBh+aT38KSI++pUjZSgZbf8meCt3uQbhCeHfmP8vZGB570nTVL/+yMbRXSnvzRFVn7jq3zKi9ftpdRlmRjv3s0iRqNxNaY/KgPoOGBM+87o9G4We7TXW4tXfvSLeGdvMjUvdiS9zRL4rXsfihfvbFWeMn6j8O3vv1PZriGNwO3d9ejF9BfN8T5+7+GROqUpReUo671OvHCn+p3CaFTEa289iO/9dPp33io71rBQgRfubMfvvPjMzD7/6/X34uGh74DORFpy4xc+cSc+emtt6ijj57yT/shz3lSdtAfv3t6aGUD9DmjaehiNAAECBAgQINB6AQG09UsAAAECBAgQIEAgrYAAmtbbaAQIECBAgACB1gsIoK1fAgAIECBAgAABAmkFBNC03kYjQIAAAQIECLReQABt/RIAQIAAAQIECBBIKyCApvU2GgECBAgQIECg9QICaOuXAAACBAgQIECAQFoBATStt9EIECBAgAABAq0XEEBbvwQAECBAgAABAgTSCgigab2NRoAAAQIECBBovYAA2volAIAAAQIECBAgkFZAAE3rbTQCBAgQIECAQOsFBNDWLwEABAgQIECAAIG0At20w80/2oe21kM6nt9rGWdurT9eHp3OZCWyLDsd8sO7N5YxtD4vIZB3ssiKLKrqtN7NQ50uAbqEU9e6j/fQuEZFUUwdYWejp05TZdId3C1rMH5M20tns7i9sx6ba/nZlz5fg8CN3mP/aXUavzaVT4n20jXU5fyQ78eE84d/+XV2dHRUHB4e/vJAE/5xc/dmuYAmQ08T5mYOBAgQIECAAAECFwscHBzEycnJxIkbGxvR2O+AvnL/5XjQvz8xaQcIECBAgAABAgSaLfC521+K0WhUOcnGBtBhMYzxhwcBAgQIECBAgMCqCUz/daOzu/Bz7jMJnwkQIECAAAECBJIICKBJmA1CgAABAgQIECBwJiCAnkn4TIAAAQIECBAgkERAAE3CbBACBAgQIECAAIEzAQH0TMJnAgQIECBAgACBJAICaBJmgxAgQIAAAQIECJwJCKBnEj4TIECAAAECBAgkERBAkzAbhAABAgQIECBA4ExAAD2T8JkAAQIECBAgQCCJgACahNkgBAgQIECAAAECZwIC6JmEzwQIECBAgAABAkkEBNAkzAYhQIAAAQIECBA4ExBAzyR8JkCAAAECBAgQSCIggCZhNggBAgQIECBAgMCZQPfsH037/Olbn4kiRk2blvkQIECAAAECBAhcINDNenEcJ5VnNTKA7j/ajyzLKietgQABAgQIECBAoLkC4/A5GAwqJ9jIADocDisnrIEAAQIECBAgQGC1BfwO6GrXz+wJECBAgAABAisnIICuXMlMmAABAgQIECCw2gIC6GrXz+wJECBAgAABAisnIICuXMlMmAABAgQIECCw2gJZ+RdKxay/Ulrt2zN7AgQIECBAgACBJgl0u934fwNFeO+0B5TlAAAAAElFTkSuQmCC" /><!-- --></p>
</div>
<div id="setting-panel-size" class="section level2">
<h2>Setting panel size</h2>
<p>In some cases, having ggplot2 expand the plot panel to best fit the available space isn’t ideal: for instance, we may want to produce multiple plots to appear on different slides of a presentation, and the successive pages should have the exact same layout for smooth visual transition. Another use-case is to embed multiple separate graphics in a drawing/page layout software. In this situation the plot alignement will be made manually, but the plots should not be rescaled (otherwise the fonts would be distorted). For such situations, the easiest solution is to set fixed dimensions to the gtable produced by ggplot2.</p>
<p>The function <code>set_panel_size</code> helps set the panel size (width, height) to absolute measurements in the form of grid units. In the case of a facetted plot, all panels are set to the same value.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"> p1 <-<span class="st"> </span><span class="kw">qplot</span>(mpg, wt, <span class="dt">data =</span> mtcars, <span class="dt">colour =</span> cyl)</a>
<a class="sourceLine" id="cb2-2" data-line-number="2">p2 <-<span class="st"> </span>p1 <span class="op">+</span><span class="st"> </span><span class="kw">facet_wrap</span>( <span class="op">~</span><span class="st"> </span>carb, <span class="dt">nrow =</span> <span class="dv">1</span>)</a>
<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="kw">grid.arrange</span>(<span class="dt">grobs =</span> <span class="kw">lapply</span>(</a>
<a class="sourceLine" id="cb2-4" data-line-number="4"><span class="kw">list</span>(p1, p2),</a>
<a class="sourceLine" id="cb2-5" data-line-number="5">set_panel_size,</a>
<a class="sourceLine" id="cb2-6" data-line-number="6"><span class="dt">width =</span> <span class="kw">unit</span>(<span class="dv">2</span>, <span class="st">"cm"</span>),</a>
<a class="sourceLine" id="cb2-7" data-line-number="7"><span class="dt">height =</span> <span class="kw">unit</span>(<span class="dv">1</span>, <span class="st">"in"</span>)</a>
<a class="sourceLine" id="cb2-8" data-line-number="8">))</a></code></pre></div>
<p><img 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" /><!-- --></p>
<p>Note that the total size is now fixed, therefore when exporting the plot on a device it can be useful to query the size and set the width and height accordingly, to avoid clipping or white margins. This extra step is enabled by default when saving the results to a file.</p>
</div>
<div id="aligning-complex-ggplots" class="section level2">
<h2>Aligning complex ggplots</h2>
<p><code>gridExtra::grid.arrange</code> provides no way to align the panels of individual plots. While this is achievable with low-level <code>gtable</code> functions, it often requires substantial effort on a case-by-case basis. The <code>egg</code> package introduces a general strategy for such layout manipulations, with the following steps:</p>
<ul>
<li>decompose each plot into a 3x3 layout, where the central cell corresponds to the core panels, surrounded by axes, legends, etc.</li>
<li>set the core width and height to a fixed dimension</li>
<li>align the individual 3x3 gtables using <code>rbind</code>/<code>cbind</code></li>
</ul>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1">p1 <-<span class="st"> </span><span class="kw">ggplot</span>(mtcars, <span class="kw">aes</span>(mpg, wt, <span class="dt">colour =</span> <span class="kw">factor</span>(cyl))) <span class="op">+</span></a>
<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="st"> </span><span class="kw">geom_point</span>()</a>
<a class="sourceLine" id="cb3-3" data-line-number="3"></a>
<a class="sourceLine" id="cb3-4" data-line-number="4">p2 <-<span class="st"> </span><span class="kw">ggplot</span>(mtcars, <span class="kw">aes</span>(mpg, wt, <span class="dt">colour =</span> <span class="kw">factor</span>(cyl))) <span class="op">+</span></a>
<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span><span class="st"> </span>cyl, <span class="dt">ncol =</span> <span class="dv">2</span>, <span class="dt">scales =</span> <span class="st">"free"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb3-6" data-line-number="6"><span class="st"> </span><span class="kw">guides</span>(<span class="dt">colour =</span> <span class="st">"none"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb3-7" data-line-number="7"><span class="st"> </span><span class="kw">theme</span>()</a>
<a class="sourceLine" id="cb3-8" data-line-number="8"></a>
<a class="sourceLine" id="cb3-9" data-line-number="9">p3 <-<span class="st"> </span><span class="kw">ggplot</span>(mtcars, <span class="kw">aes</span>(mpg, wt, <span class="dt">colour =</span> <span class="kw">factor</span>(cyl))) <span class="op">+</span></a>
<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>cyl, <span class="dt">scales =</span> <span class="st">"free"</span>)</a>
<a class="sourceLine" id="cb3-11" data-line-number="11"></a>
<a class="sourceLine" id="cb3-12" data-line-number="12">g1 <-<span class="st"> </span><span class="kw">ggplotGrob</span>(p1)</a>
<a class="sourceLine" id="cb3-13" data-line-number="13">g2 <-<span class="st"> </span><span class="kw">ggplotGrob</span>(p2)</a>
<a class="sourceLine" id="cb3-14" data-line-number="14">g3 <-<span class="st"> </span><span class="kw">ggplotGrob</span>(p3)</a>
<a class="sourceLine" id="cb3-15" data-line-number="15"></a>
<a class="sourceLine" id="cb3-16" data-line-number="16">fg1 <-<span class="st"> </span><span class="kw">gtable_frame</span>(g1, <span class="dt">debug =</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb3-17" data-line-number="17">fg2 <-<span class="st"> </span><span class="kw">gtable_frame</span>(g2, <span class="dt">debug =</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb3-18" data-line-number="18">fg12 <-</a>
<a class="sourceLine" id="cb3-19" data-line-number="19"><span class="st"> </span><span class="kw">gtable_frame</span>(<span class="kw">gtable_rbind</span>(fg1, fg2),</a>
<a class="sourceLine" id="cb3-20" data-line-number="20"> <span class="dt">width =</span> <span class="kw">unit</span>(<span class="dv">2</span>, <span class="st">"null"</span>),</a>
<a class="sourceLine" id="cb3-21" data-line-number="21"> <span class="dt">height =</span> <span class="kw">unit</span>(<span class="dv">1</span>, <span class="st">"null"</span>))</a>
<a class="sourceLine" id="cb3-22" data-line-number="22">fg3 <-</a>
<a class="sourceLine" id="cb3-23" data-line-number="23"><span class="st"> </span><span class="kw">gtable_frame</span>(</a>
<a class="sourceLine" id="cb3-24" data-line-number="24"> g3,</a>
<a class="sourceLine" id="cb3-25" data-line-number="25"> <span class="dt">width =</span> <span class="kw">unit</span>(<span class="dv">1</span>, <span class="st">"null"</span>),</a>
<a class="sourceLine" id="cb3-26" data-line-number="26"> <span class="dt">height =</span> <span class="kw">unit</span>(<span class="dv">1</span>, <span class="st">"null"</span>),</a>
<a class="sourceLine" id="cb3-27" data-line-number="27"> <span class="dt">debug =</span> <span class="ot">TRUE</span></a>
<a class="sourceLine" id="cb3-28" data-line-number="28"> )</a>
<a class="sourceLine" id="cb3-29" data-line-number="29"><span class="kw">grid.newpage</span>()</a>
<a class="sourceLine" id="cb3-30" data-line-number="30">combined <-<span class="st"> </span><span class="kw">gtable_cbind</span>(fg12, fg3)</a>
<a class="sourceLine" id="cb3-31" data-line-number="31"><span class="kw">grid.draw</span>(combined)</a></code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="arranging-and-aligning-multiple-plots" class="section level2">
<h2>Arranging and aligning multiple plots</h2>
<p>Using this generic strategy, we can easily align arbitrary plots (facetted or single-panel), with the convenience function <code>ggarrange</code>,</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1">p1 <-<span class="st"> </span><span class="kw">ggplot</span>(mtcars, <span class="kw">aes</span>(mpg, wt, <span class="dt">colour =</span> <span class="kw">factor</span>(cyl))) <span class="op">+</span></a>
<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="st"> </span><span class="kw">geom_point</span>()<span class="op">+</span><span class="st"> </span><span class="kw">theme_article</span>() <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.position =</span> <span class="st">'top'</span>) </a>
<a class="sourceLine" id="cb4-3" data-line-number="3">p2 <-<span class="st"> </span><span class="kw">ggplot</span>(mtcars, <span class="kw">aes</span>(mpg, wt, <span class="dt">colour =</span> <span class="kw">factor</span>(cyl))) <span class="op">+</span></a>
<a class="sourceLine" id="cb4-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span><span class="st"> </span>cyl, <span class="dt">ncol =</span> <span class="dv">2</span>, <span class="dt">scales =</span> <span class="st">"free"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb4-5" data-line-number="5"><span class="st"> </span><span class="kw">guides</span>(<span class="dt">colour =</span> <span class="st">"none"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb4-6" data-line-number="6"><span class="st"> </span><span class="kw">theme_article</span>()</a>
<a class="sourceLine" id="cb4-7" data-line-number="7"> </a>
<a class="sourceLine" id="cb4-8" data-line-number="8"><span class="kw">ggarrange</span>(p1, p2, <span class="dt">widths =</span> <span class="kw">c</span>(<span class="fl">1.5</span>,<span class="dv">2</span>))</a></code></pre></div>
<p><img 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" /><!-- --></p>
<p>Note that custom widths and heights may be provided for the layout.</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1">p <-<span class="st"> </span><span class="kw">ggplot</span>()</a>
<a class="sourceLine" id="cb5-2" data-line-number="2"><span class="kw">ggarrange</span>(p, p, p, <span class="dt">widths =</span> <span class="kw">c</span>(<span class="dv">3</span>, <span class="dv">1</span>), <span class="dt">heights =</span> <span class="kw">c</span>(<span class="dv">5</span>, <span class="dv">1</span>))</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>For convenience, labels can be added to refer to the subfigures. All parameters of <code>textGrob</code> can be used for the formatting of the labels, including the positioning (<code>x</code>, <code>hjust</code>, etc.).</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw">ggarrange</span>(p1, p2, p3, <span class="dt">ncol=</span><span class="dv">2</span>,</a>
<a class="sourceLine" id="cb6-2" data-line-number="2"> <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">"A"</span>, <span class="st">"b)"</span>, <span class="st">"iii."</span>), </a>
<a class="sourceLine" id="cb6-3" data-line-number="3"> <span class="dt">label.args =</span> <span class="kw">list</span>(<span class="dt">gp=</span><span class="kw">gpar</span>(<span class="dt">font=</span><span class="dv">4</span>), <span class="dt">x=</span><span class="kw">unit</span>(<span class="dv">1</span>,<span class="st">"line"</span>), <span class="dt">hjust=</span><span class="dv">0</span>))</a></code></pre></div>
<p><img 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MC4uWKhngsaO44MghwnV4A5CH2zZs1kFfDkR1s3btyQpDS59eK8L8sPp5XX/iBvgxf5efmJKfhImlNlMuUPypOSailv3rxSGw6NNATaa5hxpFRaCAX97lNExy4TBQlIYwT7fKk6UcXCKasZ5iJw7oK2HwJnJJgQsDACjAAjwAgwAqmFQJomoEePHpXkDdpFkEy8lJHXWMlVj6nrQEG2QIgSE9hyQkBO1AK7RmjMFMHUu5dXvJrr8ePHhH2KwKkJfbClDcR0KkKcIPwPtFo//fSTyZ5VqcNyCccTtJNS8cqQkYLnLaCYw/+SMTaGfMpVIEMKtZYgRVFRYp75uQwePJjSp09PI0aMUHYlexng7U+X2hykdTe30CMx7V4ra1UqGBxP9pNbMcgcTDNgVwxbSmi0HUXovugqtNoXiTAdny8rUbHcye1l/HmtWrWiuXPnSoc53FcwF8A+FkaAEWAEGAFGILUQiGdCqdWDVGwXtpOYSoetJQgdnJRiY2NNhBEe5CCW6jiP0IrCMShMTD2riSmICIispS0gtJ9qjaflcKE9g22oIunSpZMhohQSjP3oE7Su0GRBeooYpnB2ghYUDlPojz1B/WobU3tlEztmEFP6PtWqk2+Nmikmn4m15ajjrXI3oS4FXnEI+USfYPsLZ7U6depIreKaNWvkVLyj+ltJaDwblHMM+USfYOIB0w1oyqtVq0Z//vmnmVmIo/rN9TACjAAjwAgwAloRSNMEFFk6YEsJZyBMfcPWc8WKFdJJAwDWqlWLEFQZU90gqXfv3pWaOYRLguMQ7D9hJwqCh/PffvttSWQR5gl1QusEe9KOHTvavB5wjIJtp1qg2Zw8eTJt2rRJEkx4we/atUuSB5RDn+D4hKlUhFfCtL4tgY0lnHwUByxb5fSyH/aUjtB+Ons80EIjHNP27dtl1he9Z3wZOHAg7dy5U5pywKnN0u7Y2Xhx/YwAI8AIMAKMgBqBND0FDwIHJyBMk2OaGlpCaLaGDBlCyHCEQPUItQSyAa95aCcRPxSOSZB69epJz3QE9oY39Pjx46VmFBpJTJWDqII82ovBWaVKFenQgliNsPWEICg9yC6mSeFEBPI4f/58SXplAfEfNFogxtCG2hNoUqFBtaeFtXc+H7ONAGxAs2YV8+RuItDYw7yBhRFgBBgBRoARSG0EOBe8uAKIjYjpc3svZ5SBphEk1FIwTa+244QjDQgkpmq1CEgtbFARr1MtqAd1gyBbCrSrILewY7UnCCEF+08QWBZGgBFgBBgBRoARYAT0gAATUB1cBXjgI3A9psqhibUnmPaF8wvC6EBTi2l/WwKtatmyZaVXPbzkWRgBRoARYAQYAUaAEdADAmnaBlQPFwB9QGB8ZGHSoqVETFCkfEQM0t69e9sdAjSkShB9uwX5ICPACDACjAAjwAgwAi5EgDWgLgTbXlMIRQTHJdidJibh4eGJakpRB6bvYVagxKtMrF4+zggwAowAI8AIMAKMgCsQYALqCpS5DUaAEWAEGAFGgBFgBBgBEwI8BW+CglcYAUaAEWAEGAFGgBFgBFyBABNQV6DMbTACjAAjwAgwAowAI8AImBBgAmqCglcYAUaAEWAEGAFGgBFgBFyBQJoORO8KgLkNRoARYAQYAUYACBw5ckQCUbFiRQaEEUiAAByRkXIbSUMaNmwo45MnKORBO1gD6kEXk4fCCDACjAAjoE8EkMyka9eutHnzZn12kHuVqgg8efKEWrRoQRs2bKCNGzdS7dq1CRFvPFlYA+rJV5fHxggwAowAI6ALBD7++GPKkSOHLvrCndAfAgsXLpQps6dNmyY7h7Tghw8fphdffFF/nXVQj5iAOghIroYRYAQYAUaAEbCGwKJFiyh79uxUpEgRa4d5HyNA27dvp549e9LWrVspOjqaBg4cSF5enj1J7dmj45uaEWAEGAFGgBFIRQQuXLhAP/zwA40ZMyYVe8FN6x2Bmzdv0qxZs2jp0qW0ePFiqlWrFj19+lTv3U5R/5iApgg+PpkRYAQYAUaAEbCOADRZH3zwAWE6NTg42Hoh3ssICARwr5QrV47mzZtH0JiXLFmS/vjjD4/GhqfgPfry8uAYAUaAEWAEUguB06dP06FDh6hDhw6yC5GRkdLD+datWzR58uTU6ha3q0ME8uTJQ1WrVjX1rHz58vLe6dy5s2mfp60wAfW0K8rjYQQYAUaAEdAFAmXLliWQTUVGjRpF6dKlo08++UTZxUtGQCLQpk0bWrVqlfxYiYqKkt7wffv29Wh0eAreoy8vD44RYAQYAUaAEWAE9I7AG2+8QVmzZpW2nzVq1KDKlStT+/bt9d7tFPXPYBSSohr4ZEaAEWAEGAFGgBFgBBiBFCOAeKDwfg8KCkpxXXqvgAmo3q8Q948RYAQYAUaAEWAEGAEPQ4BtQD3sgvJwGAFGgBFgBBiB1EYAWXz27dsnvf8rVapEPj7W6ca///5LERERpu6WKFGCsmTJIrfhxHX58mU5HZ0tWzZTGV7xDARYA+oZ15FHwQgwAoxAqiNw584d6bmLEDKFCxe22R8mFjah8YgDd+/epXfffZcaNWpEV65codjYWBmKynJwCD2E9JNVqlQxHYItJDzAp06dSsePH6fixYvTnj17aMaMGVSgQAFTOV5xfwSsf5K4/7h4BIwAI8AIMAIuRAAxC3/55ReqW7eujGOIvOetW7dO0AM1sUDgbSYWCSBy+x3I5vPSSy9RwYIFqVq1ajR69GipycS2Wi5dukT58uWjV155hQIDA6lChQoyTBX2//nnnzRkyBBTNqDZs2fT+PHj1afzupsjwATUzS8gd58RYAQYgdRGAL6smzZtkukDoQXt3r07LVmyJAEBZWKR2lfKNe03btzYpAE9evSozOiDVKSW8s8//9C1a9fo559/pmfPntGjR4/oxx9/JGSPwpQ91jNlykRwzLl69arZ6RcvXqQVK1aY9rVs2VIGcjft4BXdI6BLArpjxw5asGCB3cwRT54RXbsfh29MLFG+rEQZdZZoQokvYDDo/j7gDjICDkEA5GP58uUOqYsrcR8EDOIhB9KBjD+1a9em9evXS42W5Qi0EAuQVJBZRTCF+/DhQ4q9fInoWZjYLR6ozx+uhqzZyCtnTqWoXMZcOE8k4iia5PkD2Ct3HjKkT2/aLVfE1HDMubPm+7AlzvEuJEwIfH0THkvje/CxUahQIRo0aJBNJBQN6N69e+nEiRPk7+9PmJa31IDiOoNo5s6dm/DsOHv2LK1evZpiYmIkaf3oo4+kfSi0pJaxU0NDQ+nAgQOmPty+fZtCnoTQkdAT4v4w7TatVMlSge5HPKSLT6+IOyj+pWwUhdP5BFO5jKVMZR21EhL1iM48viBuV3WHjOTt5U1VM1dyVDOpWk9o1GM6Hnra1IdYYywVSVeQcgfklNf1008/NR2zXNElAYXxMqL/wzbEmly+S9R/HlH6YvFHn4jV4d2ISueL35eaazuOE83ZKJ6D0USx4t6b8z5RlnSp2SNumxFwPgIff/yx8xvhFnSHAAgD0gcOGDBATrfCtg9Zf0AcM2fObOov8l0jv7U9YnHjxg0zzRZIy9RRI4k+Gy4epplMdSkrgUOHkrcgKIqEjR1NsWfPKJumZcDgQeRTtpxpGytG0c+wIZ+Q8Z54qVhI8LRpZBDTwtYk9sZ1ij56hAy+fuRTr75Yug9RjT5xnKK2bBbDMpJfm3bkXaSotSHa3Adt5IQJE2wexwG1BhSazXPnztGpU6cSENBx48bJewGB11EORA2Zo2ADGhYWRt9++60M3A8tKUisWjJkyGBmO4qA/yPHjKL6B16hsBihobKQHa2m0j8PD1PP/R+ZHfc2eNPrBVrSpIqfW5yR8s0jIcfp1T1v0ZNo85zuOfyz0czmM1PegA5qyLXG/DeFLj3yvkTT608Xv9uv7fbQLQPRbz8qv4ETDGyb2K8HOXeTaOYfRGHCsS8qhgga2n5ziZ6G66F33AdGgBFgBByLgLe3N3Xq1Ilgp/fqq68SPJZBVEA21QJnFIVYwF504MCB5Ofnpy5CSEmIOpQ/GQ9REFzy8TYrp2xELP5RWZVLr4KFzLblhuG5RtPiiEFo3wI+6h+3V8RehOYTEvDJEJvkM+rfQxQ2bDBFrlhOET8voae9e5JRaOMsxRgRLo7/RM9mTKPIdWstD6fKduSuvyh84jiKOXhA/P1Dz0Z/TlG7d9rsCwhhzKWLBK2yUVw7rQLzi2bNmtHJkycl+cT9AUciS5k+fbq0AQVhhf0nPmQwDX/v3j1JRosWLSpJKz5mLO8laEDhQa/8wZM+nW8wjSo7yKwZPy9f+qbyRAryCaR62WtSq9xNTMcDvQMoxhhD4yvY1tKZCidjpWKmstQ2TzOzM30E4V1Ve77ZPmsbT6PD6NyTi1Jra+24s/eFx0TQWwf6U8E/qhBI5pTT31pt0t/L/PeLQth3P/KB1fLqnbrUgKo7aG0dzwm1Qlsp4xWvVVd2pcryx21E0Ra/VZDQv4WWuknFVOkSN8oIMAKMgNMQgPYKGlAQCmRzASmAJhOaL0yfKqImFgEBAdLWD9pSteA8TMMqkj9/fsJUO4npc+P953ZXykGxNIY+Um2JD/4j/5pty43AIIo5fox8qtdIcMy7YCEK+t9Mivpzu9CwxpLvizXJK0/eBOWwI1aQo4hpz7U6yjS/IK3h38ygwKHxJMaIKeS3ewnSLF6xYnwx/xygqK2bKPjr/1mtN6k7JTEURNgotITeIuKAV/YciVZhFDOLkXO/S1AuYuEC8qlSjQzieqjFKEjfs3FfUOzdO3FaFGH+EDwLJCTxFy2m1WGfCbtMaDcxDa+EYcI9AMFHyuHDh6XT0XfffSdtPDGux48fE4gnzDqg+YTtqK/QMOPDRS3pxf1QsWL8CxVT+JDuhTpRSTE9Ovv8AvISfX2rSFeqky3+us+sPF6Q0Ma07/4hyhGQjXoVfp2gBXWWTK30Bb2QqTytur6OMvmmp+Gl+1OxdIXtNrdf9O1NQf5AjjGNP6bsEHq7qJjidaGU21iPwqKfUaz4B5l+di4FegfSe8V6mPWicHBBOvX4rNm+h6LP+QLzmO2ztuGeBNTG/e+nk9FEi491S8E0fBI+IC1P521GgBFgBHSLAMgkptoRs7Ffv36SdKCzsO0DOQU5wFS6FmKBc15++WXTWEFeQEb8+rxL4RO+NO2XK4LoeJcqY77Pz3yqVh4UdmmSDJqXNG15ZcpM/i+3N23bWom9fo0oWNhSPYXR13OBlvDiBWVLLiOWLiHhvi3Jp3LAKIhV1I7t5Fu/obIrWUuQtKeDhKmLsKlUxO+DD8mv2ovKptWlMVxMSwsiHmdHqypi8CKQU0sC+rSfsBsT+9UvrmfjBf4qoq2qxWwV0+EgmJs3b5aacEyfw0YTMn/+fEko+/fvTzmF/S405bDzBcmEhrxs2bKE80FY8TECzWbhwoXp2LFj8jiyBEFw3n///SfX8Z/a1KNG1sqEP1sCLahaE2qrnKP2gxTjT4tcCbtO7XZ3Nyv6+fGJVDRdIWqcs67ZfmdtHA05QVGx0SbyiXbCYyNoxrm5CQjoj9WnU42tLYXW01+YG8ZQlDGalr84lzIIsp2YuISy4UbBzaOWF1+0/2NRl7VcD4+03BO3HZrQ7MN6QSfvbSpsi09dN28kIoqoWnHzfbzFCDACjIAnIACCiLzVn3/+uQybg+2qVasS4oHC03nMmDG0Zs0aTcQC5OO3334zwaJoUH1KlyG/jq9R5C8/xzkHefuQIVtW8u9mrpHxa/cyRUDTFy0euhDRF8GCybtCvLYs7kDS/zdkyCi0geYaW1mLIIVqMUJraKlxEEQq9kHi05LqeqytP5s03ox8okzkzBnkPbEQeefKZe0Uuc8giLMhMICMQpNpJmLbEBxstgvaT0vyiQKxD+6TUUV8zU5SbYAwBos68TECEvnWW2+ZPkrefPNNU0loNUEo4e2OkEuw/YRmEx8t0JyOGjVKOiaBoOIjRyGfqCBdunSSrCqVKZpVZdtdl7/f2Ei+Bh9J5NRjWHT5F5cR0KjYKIqMTUi0QqNUH17PO1cwOD+dbrmHll5ZLc6JotaC3IMsW85sqMeirLuEgMJTbebMmVSsWDGlXUoJAS2UkwjazkjVcwBK0aK2f3umdl2x0qgC0VUxy/DrPvEjEbMaMF0aIT5+MosPZxZGgBFgBDwRgQ0bNlD9+vUJjkbweJ44caIcJjRaiPUJ0UIscgkS1a5dO1ke/8GOEKF8pBNK3nwU26krxYqpWUNQIHnDqUhM45qJfwBF16pDURvWEQnbQ3i/+3fsTEJdZlYsuRuRhYpSzKF/4k8XBNe/c1fyEmYHikR5+VB0hHiBw3ZVJX4gwqpyqkOaV58dPCjsDswJL072Xvgj+TU1tze0rDS2eSuK+H6uxEVOpQsy7d/7bfKyUBCh38/ChRODhXkEhQktz/nzltUm2MbUOKJhfPDBB9KmEzagShB5tQb0vjCpgIYTMWMhCLWErEmVK8dpLydNmiRtQWH/mSNHDrN2sA/3hiIZM2aUii4QU3eWezfukP9Vcd9afMBECLL+r2/8PebMMZ55fI78roBV4S9evMW9DvMaa1KDBPEREnr2If1LImqFRf+tneMSAorQCnig9Ohh/qVqrUNa9sGO8vcDRFeez0D4+8YRvXbVtZztmjI9GhG1rSamCcQMRo6Mwqg9oZ2uazrCrTACjAAj4GQEQASQtUYtTZo0kYoHOJAoGlB4LkPsEQtoQH///XdTVW3btiVkTjIT2CvCrskWqfQRL4U2L8WfIt5BSRU4uWD6H84x0hFKqUDYh8YGBZER2kwQ3Bw5yXD3ntBKir/nYsyYiWLyFxRT9U+FtkQ8/AXRM2TNTt7wShVkOrmCaexzzyKoSqaM5K3yCjeKdnwEHF4a6ja2aG1ymkJYKsMtMTWOPwuJrVyNYq9cIgqK044aQx6Sl/gA8BYaTTgY2RPMeMIWuHr16jLGJz4qypSJM5VQa0ARWgmhmGD3CXvRZcuWyUgKIJOrVq2S9w80okoge3Wb0JYuXrzYtGv37t3S5ti0w8rKeUGeoXXFuc4SEK/9+/dTkSJFEpBmLW3mic1GtZ68IIvCSQpaxcfRT6heYFX5IabUgQ89aIZr1Kih7HLY8rHQdNYUfbgXcZ/CLzwlr3TelDl3Fsrol8GsD4k12KpVK7tFXJKKE/HCoPHElw7SamFqBlM0ahk+fLhpE16RKG8rDJNS8E/xQYtYoDkyETUVpNSiSqUYLxkBRsBFCCAMEzLdsKQ9BPCch51nuXLlaN26dZJkAgW1DegDQdqgiMCMmJpY/Prrr7oDDJoepJMEycF7Sw8CnJANaNeuXdJmUg99stYHmN317dtXOhHBprdhw4YE4glNKGLFwt4TNqCYpsXUO2ZJ4Wz02muvUceOHaUXPD5CEKAeeeGh/YRDG/app+GttW1v39ixY+XHDBzmnCX44EI2MHAaZINylvz000/yd2QtuoAj20Q0CsT2RYg1R4vLNKDoOEjlwoUL5VfO5MmTzcYCVbwiuOG0SAPnfcRoaZ7LMAKMACPACAgEoAFF0HH8YeoVjjL16tVLoAGFdgi2om+//baJWMDWD/tTQiz4IugLgb/++kteTxBIOCOpr61aAwpHo+bNm8vwS+AEiqc8QjGBbCNUF5RV+AiALbC6Hn2NmHuTHARcQkB/+OEHmU4LNw+mU/BVgPAKinE5Oo4wDIps3LhRPsCUbV4yAowAI8AI6BeB0qVL086dO2UHkcPbUgOq2IAysdDvNXRkz/DOh7lAhw4dTNVCkwanJLUNKA5eunSJSpQoYSKf2IdoCfhQef/996WWFKYbX3zxBQ6xeBACTp+ChzoatkEvvBBn0wDsevbsKY2TMRVvTRQCmtgUvLVzeR8jwAikHgI8BZ962OulZUsCqvaCRx/h8bxlyxYzYmHpYKKHseDdBc9q9E3RzKV2v2C/GBISIoP1p3ZfXNE+NOOYzldsh1PaJj6AoHGHVtaZAs9/5LA3sx12cIPABbazMHFwpiCEGhwAYZfraHE6AcVUTPfu3eWXDKbgMVUzePBgGWjY1o+aCaijLzPXxwi4BgEmoK7B2d1bcTSxcHc8uP+MQFpEwOlT8LDfgLHxnDlz5B/CcwwVuXttkc+0eBF4zIwAI8AIpCUEYI7lKK1WWsKNx8oIeBICTiegAKtKlSrSxhPqbzx0LD3gPQlQHgsjwAgwAoyA+yGAqdmDIsZmYGCgDL2kvKccnUglKciEi0xE+/btk0HdER9TrbhBaCpknkLMTGdPKSelz3ori+t35MgR6cmt7tuFCxekLwrCGMkYs+qDyVg/deqUDJZfqFAh09nIbY/rB96DMFQpcaKydX+iMUfeC4g2gHismLHGb8FSkN0KUQ3U96JlGa3bcTmttJZOYTnYECg/6hRWxaczAowAI8AIMAIOQQCxRxECCCFtEOrn9ddfl2EDUTlCBCF0EPLTK38OaTSRSjBbiH4gpia8wYcNG2Y6A6HO0CeEiurVq5eMB2k6yCsmBEDgkU1JnVkLBxHKCo5xwBZB8GGzmRK5ePEiDRw40CwwPhytUfeOHTsIIZM+++yzZDtX27s/HXkvINQSHMJBaOGrg3imalm5cqWM6Qti7QhxiQbUER3lOhgBRoARYAQYAWcgAILXunVrmTIS9SOlKDQ9bdq0kakgHZlIRWv/t27dSvAcB4nBCx99gMYTfhWIOLBixQpTqKMlS5aYEVStbXhyOWg4EYsTii+1Aw2cuEAKQUqh+YQmD2liEfM1OYJ64NmvbgP1rF+/XmYGQzxUCLJCwUEP2sOkiq37EzF3HXUvgIzjo0eJkYo0ugijhWQCiNeK34Q6XGZSx2CtvEs1oNY6wPsYAUaAEWAEGIHUROCdd96hbt26mboAczEE0Icgkx/SO0KLBW0oCKArBBpZJUUlNJ0goQjWDmKF7EzKdC6m4JGxicUcAUQM+PTTT6lLly5mB3AtEQgf0RlwnUG8UhKFAdPU33//vUxWoJ7hRfpYXCdFEGoKmZiSI7buT0feCzARgK+OIsAGGmQI7j1Myc+aNUs57JAlE1CHwMiVMAKMACPACLgrAsi+B1IC2bZtm7QNRGpICAgoAuxDW4ZEKsj45EoZOXIkIboEoskgrA9SMKq1bbAvdLRmypXjc1Zb0A5aS7kJjSci8cAZGrFGYVsJ7XJyBWlJkXYUov44QfYgJdwY7FBh3oFrlxyxdX868l7AB41i84nQS9CE4p6D4N4HRo6w+1SP3+VT8Nu3b5epOJGGjcU2ApfvxOW7R+rgZpWIyhawXZaPMAKMACPACKQcAUzFIuvOlClTpNYTNWpJpJLylm3XgDzoyBwFG0PEfEQ6S7UNHqZHFeJguxY+oiCAD4pJkybJafM8efJIrR5sQkeMGKEUccgSccyhme7UqZP8uEEs9ODg4BTVbXl/OuNegD0r0qMiYxW0ns4Ul2pAkZ4LdgTIB8xiG4HT14k+WUC09SjRX8eJPltCtPmI7fJ8hBFgBBgBRiBlCEDjgzSicE5BTnsIgtHD7lKZ7oYmKmfOnASnEGcLErgoms28efNSgwYN5LQxpuHV71CsOzsYubPH6sr6Dx8+TDVr1qRixYpJjXLnzp2lp7qj+4BA9Ph4QOIF2FJiG9cxuWLt/nT0vYA47dC2IwMV7J+dLS4joMgooXxJOntQ7l7/0IVE0ULzqZb5W4gehan38DojwAgwAoyAIxBA6lA4/cyePVsSTKVOTMtDG4opeAhe0CCFCInkbIG96bx582QzsMX7+++/JWmqVq2atFtEqBxoP+G1D0cRFm0IKAlxFBtfhElyhqZv6dKlUruK2d7Q0FCCAg4hn5Ijtu5PR94L4GgwTYDJR/369ZPTzSSf45IpeNhFTJgwQXqBTZw40WonDx06ZNoPTyy9xTU7eY0o5AlRoZxEuTObuuqUFX9hihQRZV61rzdRqCCgGYPM96d066mwMT50Ia6WKkWJgvxTWiOfzwgwAoyAeyGg5C6HJ7wiSu7y1EqkgjzqeF++9dZbcsq9bt260g4P066Yku/duzdlyZJFamsVZyWl77y0jUD+/PllxAOYNEDDDQek9957z/YJyTwCm0l44ffp04eQ+QvXMbkaUHv3p6PuBWj/ESGgX79+phHj/vr1119N245ecXoqTnQYIQQQZwsD69ixI02ePNk0xYHjIKjqLxAYDuPHp5dc8BNWEv13icQ0DNETQdjebUHUPD61PYagSR48Jtp3lsjbQFSrFFG6hDFeZT3vf0d0w4qVwqL+ts/R1AGLQvdCxVhmCwNjQXjh2Pkskmj2u0S5nEywLbrBmx6EAKfi9KCLyUMxQyC1EqnAmzsgIMBkBqB0Cs4zERERJltVZT8vtSEA3gEtqDPztaMncECC570zxV3vBc1T8E2bNpVAWoK4YMECU6gIy2PYhkEr4mHZi7GF0AUIcaH8watML/L7AUEazxCFCXIG8gn5bgPR+Vtx61r/v3ibqNdMoh+3CaN2MZ3ebRrR9fvWzx7cPm6/t7g6AhopQ181J58hT4m+Wk00eAHR95uJYpMYGSQmlqiPiKiAZVhEHPlEQ6N/Tjj9LzvA/zECjIDHI5Dc57zHAyMGCM9zdZgdV40ZBEmxQVW3CfMAZxMbdXueto5r6WzyCcxccY3c9V6wOwUP2wgE44Xs2rVLTqPjS0wReOJBPVu8eHFlV4Il7GpgxN22bVt5DF8cmDr48ssvzexWihYV87/PBamg1OEMlP2psdxzMmGrIIb/imnrorkSHrO2JzKaaMAPcUfUU+tjlxPNeJvIR0yvq6VgdqIFQgu+/mAcGaxdmqiwmPpXBHW8OV1oZAU5BfEEGV4vLBiWDRLaVY2fFI+fEQUIzWe4qEstsDMFuc2WQb2X1xkBRsBTEXDEc95TseFxMQKMgPMQsEtA4SWG1ExQ80PFu3btWhkCQukOWHehQoWknYOyz3IJsok/RaxNwSvH9LgMjufbpu5hKj7Qz7RpWoH3+tkb4ktZRFqoW8a0m249JPITSIOIqiVEkL1woVm1NhUPW8/X6qpLx6/P2RRPPrEXJDRA1L9BkNDWVePL2VvDtLs1rSmm4a2NzV5dfIwRYATcFwFHPOfdd/Tcc0aAEUgtBOwSUARX3b17t+wbDGoxRe4KdXJqgWGt3Z6N47SdClmD1hFE0tIGdMkOojX742qAB/uCrURz3o+b3kYYJUvyiZIgn9N+J/pQRDtIinPRfWG7qfRH6TO0otBcahWQzC6C4C7dad437LNGurXWy+UYAUbAvRDg57x7XS/uLSPgKQjYJaDqQfbq1csh0+JwSHInyZeVaNY7RCOXEkUJ4lkiryCMrc2nzU9cJVqxx3xUoWKKe9muOK3kE7FuSw6dJ+r5P6LpfYjyZ7NVynx/hUJEx0Wb6lBNMAHNnPUuTTq1jKJio+l+xAPafne3cHjyphmVx1HNrFVl/2HT+uCJGEceopdfFCcF3qEVf8eSgYz0SnV/al85i3ljvMUIMAJpBgFHPefTDGA8UEaAEUg2ApoJKNKPwZazcePG9PLLL8twELlyaTSCTHb39HEivMK/62u7L2euxxFSNSHE+mFhJwoHH3v+QcqxGX8QTeppuw31ERBHBKa/HRJn8wmtbNliD+m9Sy0o2hhNMUbRuEo67elN31WdQnMXNCJ/ccUjBJFeK44vP3GEVvi/Tt55vaQX/OZrsZSn4I/0YtYqqrN5lRFgBNIKAmn5OZ9WrjGPkxHQCwIaXVaITp8+LXOZIpDq3LlzKV++fFSrVi2Z0urCBcG00rCkF+GUEKdTLYITUpb0wr7Tig2pupyyDq2kVgHhRLikAe2IujcgGvRqNH3jXZciYiMSkE/UGSVIaf9/vpROSyCfkFhDhCSfWI8xxhL+Qfr8M4CexYTLdf6PEWAE0hYC/JxPW9ebR8sIpCYCmgkoQhZUqVJFRslHhgZkZUBieuQMHTp0aGqOIdXbblCeKKsgmwoJFVBJrSem6t9rGecwZK+T8FzHVH9SpY5wdGorEmCULhBJ6X3sxxkLiw01sxuN8Qoj7xjRaQuJio2iR1HCyDQFcvDBEVp/cytdenolBbXwqYwAI+BqBPg572rEuT1GIO0ioHkKHtmJtm/fTtu2bZN/CJVUoUIFQjYBBI1PywICCRvO+VtFwPrLcWT07WZxzjw1ShB9+QbR8MVxwd4tcYJ3PDSavmK5cBvR6w20h1JS6vIx+JCfl/AqsiG+4nh2KipDNCHuJ8QrNoAMxoTfHyGCfCZGZuNqsP7/O/98Qlvv7CQfYXuKur6uOJpeL/iq9cKqvdGHDpLxyWPyKiL6mS+/6oj91citmyly5QrhSRVBXnnzUeDno8kgMoWwMAKMQNIR4Od80jHjMxgBRiB5CGjOhJQ5c2aZz7R9+/aEFGWNGjWSKayS16z9szZu3CgdnvSSCcl+b7UdRZzOORvjy4K0Vi9OtPd0nP1olDDbRIakGGEU+vMncdmJ4ksnvrbz7l7q+Hdvs4IBBn9h8+lPeQJy0uoay+nN//maSCi0tcacO2hn5vfNzplf7X/UMndjs31aN+ZdWEKfHRtvVtyLvGh9vaVUMVNZs/3qjbBxX1DsFcHcISJOrF+3HuTXRDD4RESSz6VLhI3B82CmQiPvXaw4BQ77LJEz+bCzEOBMSM5C1jX1uvI575oRcSuMACOgVwS8RwnR0jlMtyNvKgLLnzp1im7evCnz0+bJk4f8/Gxr35S679y5Qzt37pRxRPGQsyfnz5+XhxGfzlOkeG6i8gWJHgvzygLZiKAhxVT9f2KWOvq5VhIOSSCGCLEET/ekSMHgfNQ+b2vpAV86QwkaUupDapyrLr2ctyWNKjtIxPb0oVdrCQckEfopi5itb1pJaGVbFqKX8jaXNqAVBEGcVHEE1c0uPJySKSOPTaIb4bfMzoYmNE9gbpuOTRGrV1LM/r2iYxECiDgD1Zjjx8i70gvklSmTWV2WG88EcTWRTxwU+XaNYc/Iu0wZ8srM3vyWeLliGx+PnvTh6ArM9NRGSp/zehoL94URYAT0jYCY+NUmn3zyCeHv6dOn9Oeff9KWLVuk7SfIaP/+/WnixIk2K/rjjz9kPvi6devSokWLZOrO1q2FgWQak7IFhLe6+FPkb6H9VKbElX3QhMK7PTlSJF1BQSI/t3kqyC3imqqlRPqids9Rl01sPaNvwvRJCAMV7COi6tuQGDH1bkYiUU5E+o85eYK8Cxaycdbz3ZhqV7SfSklB6sWXkrLFS0aAEUgCAil5ziehGS7KCDACjICYH02iRAstFTIjhYWFySl5ZENKnz6hM4tSLVJqbtq0iUaPHi0zIoGsLlu2TDmcppdFRHpN2ICqBfypuIjR6U7y36OTNP/iUqqdrbqMO6r03VvcXuHCM79HoU7KrgRLQ4aEpBWFDEHBCcpa7vCpXiNOjaw+ID6QYEfKwggwAslHIKnP+eS3xGcyAoxAWkXAgv7YhmH8+PEETSbyBufIkUPmdp81a5a0BVXnh7esAV6V06dPl7uRzhOZlQoVKmRZjF577TXTvrx581LTpk1N25660riiiMcpFIAXb8eNEOkxMwne1baa+4x4zvmF9OXJaZJ4RgoP+mDvQMrqlV4EvY+iclnL0bQqX5KvlxiYDfF/vTuFDR8c76H1XKvpU7eejTPid/v3eIswXW8MESrjgEAyBPhT4Kefk0GDSUh8LbzGCDACCgLJfc4r5/OSEWAEGAGtCGgmoOvWraOGDRvStGnTqGrVqsJ+Ebo67RIaGkqvv/668DF5JuOIWp5ZqZIwSnwu0JqmFZnyFtGOY0TXHxDlyEjURJDS1JSQyEf0/qFhdPDhEUEqvWhFrR+odIbiVrt0NOQEfX58ktmx+pf8acK/ucifxK0V+ZCCvhK2nTnMiphteAkb4qAp0yl86mQyhgv7zdJlyP+NHpruL4OwSw4W58ZcviRtSL0KFWbyaYYubzACSUMgpc/5pLXGpRkBRiAtI6DZC94RIIFY/vXXX/Tll1/Sb7/9RoGBgVar9UQveKsD1dlOaDAL/CGcf8Q/JTA9bDg31ltG5TKWStDb7y/8RGNPThWB6+NyjZYJCaQ1W0uYlwsIoOCvppKtqXbzwrzl7giwF7y7X0HuvzMQgEkDwhhmzZqVKleu7IwmuE5GwO0QSLINaFJHCM/5vXuFl7MQaE3r169PmYR38/Hjx5NaFZd3MgI/XV5JgV4BJvKJ5pDWc+yJqVZbzuKXSWpJlYP9TgijVksRLv1R8HJnYQQYAUYgDSLw5MkTql69uoyf/c0339Arr7ySBlHgITMCCRFwOgGFk9K3335L+/fvl60j1dv9+/epYEERk4hFVwg8jQkzI59K50KjHyurZkuEeAqPEVPsz8Un1opZhkjzifBILIwAI8AIpEUEVq9eLbMIwr523rx5dOPGDTpy5EhahILHzAiYIeB0AgqtJzzff/jhB+kFD4ckeMRnz57drCO8kfoINM5RjzANbynt87ay3CW319wQCQNk0tG4wz8VuZ+wnHA886kmvNVZGAFGgBFIgwgUKFCA/vvvP7p+/TodO3aM7t27x++/NHgf8JATIqDZCSnhqdr3wMEIWlBMRaRLZz9nufZauaSjESiVoRjNrjyR3j00mDL5ZqRoYzQ1z9mQehcRuUStyH3hZOQnPNyfxYjgpUK25gmliWVv0JDj5nGkokS6TP8OtkMxWamadzECjAAj4BEI1KtXT9p9YhoeJmnI/YIELiyMQFpHwCUEVAGZyaeChH6XL+drRdWzVqYToWcou39Wuyk0K2UqJ7I2mU+vl34cTNFCr+6j2h21cQP5vFCZvIsWsznw6P374nPBC292FkaAEWAEPAEBJGl59OiR1IJiiWgwRYoUoZYtW3rC8HgMjECyEXApAU12L/lElyKQJzCXSJ+ZK9E2K2cuTx8V70NfnZ5FfgY/8vP2pYqP0pmRT1mJMA2NvXrVJgENGzWCYkVqVwKZFUkO/Dp3Ib9WbRJtnwswAowAI6B3BBD5BdEhsmTJIv86dOggHZKYgOr9ynH/nI0AE1BnI+zh9Q8s+R7VE/njDzw4TJmFV3zhE6cpVtg5kTqWqyCVhkwiyKkVifhlGcVeu2qWUjNy5S/kXbK0IKyc0cgKZMnaFXvnDkUKrI1Pn5C3yCDl16BRsurhkxgBRiBpCDRv3px27dolk6sgGcuOHTuob9++SauESzMCHogAE1APvKiuHlK1LC8Q/iCxb96jsAH94lJkgoSKYPFe+fKTTyXrse9ijgpvUMt87sgFf+6s0wlo5PZtBPtU+O77tn2JfGu8KMfgaf/FiqgTYUMGxn0UiGuC7FGxp09RwDv8EvS0a83j0R8C3bp1o5EjR1KbNm1k+uoGDRqkiUx/+rsS3CO9IeAyAvrw4UM6ePAglS1blnLnzq03HLg/DkLAK2s2Cp49lyJ+/IFihb0TiKdfC9u2ToaMVjSjImyTITjxXPAp6XLEz0soav06WQXybkXM/ZaMD+6TX8vWKalWl+c+mzQuQSis6EMH40h+MetZrnQ5EO4UI+CGCGDqfcaMGRQWFkZ+Ik2wj/goZ2EEGAGhn3IFCMh6tGLFCoI3IJalSpWSoZlc0Ta34XoEDEFBFPDeB5oa9u/WQ2jnPomfskcueKEB9a1TV9P5ySlkfPLYRD5N5wstbOSqFeTbqAkZ/P1Nuz1iJTw+VqtpPF7eZAx5aNrkFUaAEXAuAkHiucjCCDAC8Qg4nYDGiBA9ixYtoq+++ooKFy4sPQA7depEPXr0oMyZM8f3hNfSJAJeOXNR8IzZ9Gzm/8j4OJR8ypSTTkjOBMP4TKQORRpYLC0lKpLIBgGN3LKJojZvEumhosm3SXO7ml3LalNz26tQIYo5+shcCxr2lLzy5EvNbnHbjAAjwAgwAmkYAacTUG+h0frxxx8p+PmUanh4uIwHCmKqlpUrV5o2b9++LcNUmHbwikcjYEifnoKGfeayMRoyZyFDuvQkiai6VRGjj4KsT/1H/PyT0JquNZWOXLlcEmb/jp1N+/S6EtDnXXr6/jvC0NWXSOSkhvh1ek0Q0MRjERojwin6wH5hpxtN3hUrkleWrHodJvcrlRFAnGcEWlfLiy8mtKu+cuWKzAaklEN+9OLF2RREwYOXjEBaQcDpBBRAKuQzVtj2/e9//6MWLVpQtmzZTBgbhWPEpEmTTNvly5dnAmpCg1ccjYBB2GAFDh5GYYM+jtOEGrzI4Cv2jR1PBjH9bynGZ2Fm5FMeF2Q1auN6aTNq0HlyBfQv+PsfZX+N4gPQp3wF8i5R0nKYCbaNT59S2LDBZIwUU/ixwlJ2wfcU8Plo8rETzzVBJbwjzSCwc+dOmjVrllmQdWsEFOkoL126JG0hMwob8KpVqzIBTTN3CQ+UEYhHwCUEFM1FiFA8Y8aMEdF5jPTpp5/G90CsIV3n33//bdq3aZOY5mRhBJyIgFeOHBT87TyKOfaftDn1LlOWDJiWtyZC+yen5cU9bCaCrIKcGUj/2b1Auv1atzXrfmIbT4cK29zHj+Ptc8UJ4VMnU/DEr53uJJZY3/i4/hBAqKFooWFPzLRq//79lEP8/kqWLEl79uyRMTL1NxruESPACDgbAZcQUHj/DRkyhPLmzUuDBg0iTMtbipdK8wRCCqLKwgg4EwEQTp9q1RNvQmgQvXLkFMH0r5iXlfFNnWvHDC1kzJXLkvB5Fyho3r6zt8Tv1iyeK9oTv8vYmzfIm73nnY2+29V/7tw5qlChAlUUphpPxX3buXNC85RTp07JY02aNKFr167JsrNnz6bx48ebxvvPP//QlClTTNvIHJS/YBHaLr4Vg/yF+cjz18czYTGDV0md0qaiulrBpMHpa2KSxU9+48q+wfIsRuwv5uaBYDJkyCDf57oCnDvjdgi4hIAiBhq+dj/4QJtntNuhyB32aAQwLR8waCiFfSTiZgYKT1ZvMU0vPpKCxk20OmXvKDCiL16g8MnCNAUfYyKAvJdw0AoaMsxR1Sdaj0GMFY5hZiLs/PRucmDWX95wGQJ3796VYYYQcg9EE2H3vv32W7P29+7dK7eXL18up+BDQ0OFabKwTVYJ/AMQukgRRFHJU+QF2nVSMDkrEn1XkFKXvMmsNG5nV6j4ftt0WJpPm5XC4+OVmsIkO6EexqycXjeQz/769es0duxYvXaR++UmCDj9Z3vy5EnCQwd/eOgoMnPmTPm1rGzzkhHQMwJewlYNdpQxJ0/IbsKG0pnhmmJDQihcpChVS+yJYxSx5lfyb/eyerfT1v3f7EXhM6cL+894h0GfmrXJK5ebq2+chljarjidmCnA9Ds0oRA8+6HlzJcvnwkYzH7hDwQTMaG3bdtGcExVyzMRneLAgQOmXeXKlaM+vXrQ0Xnig8i0N36lVy/XENAzN4RFigicUTQXUSbrvorxnRJrEVFE/wn+/fCJ2W650ae3CMIRQRQpflqZRV3ie9auPBUQTflN1HdZaFBFxuIBLxHVdoHmN1r079T1uAAapcVlFKby0ol4woQJdvvLBxkBLQg4nYCWLl2aYJzOwgi4OwKwo4QDjysk5r8jVpuJEtmbXEVAfapUpcBRYyhi0Y/iTRlBPnUbkF/TZlb7xTvTNgLQig0cOJCWLl1qMrGCGRW84tUE9MaNGwQNpzIFD+/3I0eOEBxUFTMsBGvPo4rQgP0gaR1rEy3fbY7zgHauIZ+TVhEduSSm0gVRfCLI4OguRBUKmfdF2QJRPXxRON8Kc4FhrxINFj8ff/GmhZWZOJ3aVScasYTorCiH+kBCh7YXmlJBLIuLb7ucmZSa4pYgnG9MjSuLaX3ItN9FEG+hQa1RIm5b+X/DIaIlO+LIb37h5zuxR1w55bi9JSZaHgmtLTSzwQGCIAsTh8EL4vahXZDg78Ukph8GwcIIOAABpxNQB/SRq2AE0hwCMWKKy6rAKciF4l2wEAV9NtKFLXJT7ogAyCamZEFEGzduTJs3b5bDgEYUGs07d+5QwYIFCSH2IAi7h+go0JBCFPKJdWhI1aQVDqyQLvXibCdX7IkjSZ3rEpUvKA859b/FfxIdPC+IovBFVGTMMqLZ7xJlz6jsiVuuO0g0TwwdxBJT7Thn1jtExy4LAieG8Ysg0L+I/oNUqmWCILggfSB5PRoSFcwRR0TzCEuEf84RBfgKB0ChUVUEmkn0S01AN/5L9MMWQWTFMciVu0SjlhKNfSNu297/0OyO/pno+v24dhqVJ9p5Iq6fCunF+Z//RDSuq72a+BgjoB0BJqDaseKSjIDLEPDKmVO0BVWDUD2oxNkpSlVN8SojoBkBEElMpSPbD0IsQUBKq1SpQvv27aNx48bR2rWbAdTaAABAAElEQVRrCTNimF6H3Se0ngEBAZKgyhOe/wfCCk95RTAFr0i14kT4c6XsPW1OPtG2nyCERy4RNakY35MbD4jmPg/gAkcjkExoPRduFxpOoQntJMy5FXIYf1b8Gsgn5EdRHtpTENZuDYhyCI0onK1IRUBRTk1IsT1/q3n90aL9y4KEnrlOVCIvSlgX9LP7NPNj2/6LMwuAVlQtIU+J7oSo9/A6I5B8BMTPg4URYAT0hoCPsDGVBlfqjsF+rmz8y1h9iNcZgdREYPXq1bJ5kMezZ8/KdUQzOXTokIhg5m+alsf0O/bDUQkOSIqmE2RUEZBTxIlW/tTaUaWMK5eBggxaCsyi/QUJVctFodyFFlMtGBam2pMqIJ+QRX+KKXTxlkYkOLXA6apWKfWeOK2r+Z64z1e15tbyOLZhMoDoApZiST5xHP2yHLflebzNCGhFQLca0HXr1iXIqqF1UFyOEfAEBGLTZ4pzepLqDwMZhLbIJ1R4NEyerNvhXbhwQbd94445D4FMmTJJD3hMn4OEQnyEzTQEzkYzZsyQ6wjPBM1ou3btRDbcQOmYiql4NcnMnTs3tWzZUpbHf2fOnKHp06eb6jMdcNGKr/jJhZ6JC0ahbnKfmKDYty5+zwNR7rbg3pbT61GC3OEnGyq0iomRwfja4te+u0lUKnvclDjsMzElDjvR+6L9yWLaXRHfy0S37ilbcctHYrFWaE432FE1wUnq3vmEJBdmBBD1FDzaXbLAgg3HFeP/GYEkI2AQDwMLJXuS63D4CZjKefQIP52EgniiNWrUoPbthdW2G8mSJUukZmDUqFFu1Gvhdfnff/LlgTh9SJnnTvL2229Tly5dqGHDhu7UbUKECGiK+vXrJ95mQtUSJd4geBv4WVFT6Ghkf/31Fy1evJhWrVpl0njpqHvcFRchgFdKgwYN5D2AaXdoQZUp+AcPHsj4oMqzBJpQOB39/vvvNnuHeKKtWrWSGfRsFnLAATzjcgrTl7feeitBbbC5vPdYkFCh0QwUWs5MQQmKyB2Yor4XGqdRlMRNvF3ziMcmfr4gn5imX718AV2+cp1advmUMoi6woSzT+YMos5AortiejudqDtHxrj64QiULb2o77lmFVP4qAv2pdbkvmj7sdBSQmu6d+cm2rb5N/pGZKdKTO6K856I74Z0z9uBpjO76BPaCQmLOxt9VfoB0wlksWJhBFKCgC41oLi58WdN7t+/L1/OeFC4k8A4Hw9bd+s3ptNu3bpF0HC4W9/Rb2hW3K3f0BIho4y79RvaL2Cuw29ad3pUuGVf8XwD0UTqTUyxI9MRPqKOHz9uNgWPqfauXbtKb3k4KJUqVUqGbVJ7wVsCgHsKdTr79wClh73nXF7LjlnZxluppJX9yq78opKNqyPI1xhC3Vs4/h2mfi2ePGSgO8LpSwtu6vOUvirLgsoKLxkBByOgSwLq4DFydYwAI8AIMAJORAB2mwg6jw++6tWrS4/4vn37Ss93xAdVpuBB8n799VdasWKFJJXQmMMOVD0F78RuctWMACOgIwTcjoAibpyWLzodYSy7grh2T0QWGXeT9OnTS89VTJO5m8DjVpnqc6e+FyhQQGqP3KnP6CuCiwNzaKtY0hYCuOb9+/eXJHTOnDlS6zl69GjKnj07IbXmmDFjaM2aNVS0aFFpPvX+++9LLT9SOn7xxRd2wYKW1BW/48KFCxPsT50tSEmtdrpyVntw4sLvkYUR0CsCurQB1StY3C9GgBFgBBgB+wjgQxtaT3sCAoZyIKAsjAAjkDYRYAKaNq87j5oRYAQYAUaAEWAEGIFUQ8CGL12q9YcbZgQYAUaAEWAEGAFGgBHwcATcwgb01KlT0iu+UKFCpsuB9GywLYLtUbVq1WRmDdNBnaxgigl5jmvXrm3q0ZUrVwj5kBWBbRPsWvUiUSLkz8GDB2WMvgoVKpjZ8927d08ew3UoWdKer2fqjObcuXN09epV6YmLGIOK/Pvvv6Sk88O+EiVKSHtF5XhqL5GmEB7EwBR2aGo5ffo0Xb58mSpXriwDc6uPpfY6wqUhyw3iOFaqVMkUp1Hv93hq48btmyNg7Tmp9fmelGeStXbQE1vPDXUvk/oMQSpShH9TYqFq/U1oHbfSN3U7OBfPEUvB887ShlZrfyzr4m1GwJEIeIu4lKMcWaGj67p48aI0bi9SpIiJqCHQ8ZtvvkkIV7N7927avn07NW/e3IwsObofSa0PL+fPP/9cBlFu2rSp6fSvv/6adu3aJdPVgVgj3A6Inh4E4U4QAw+kHuFTvvvuO2rTpo18iOIBDCcDhCnBfoTJ0pOB+4ABA+TDF7Zl06ZNk963MPYHvj169JBxZYE3/kDy9OLI9scff8j+IiTNDz/8IHHFCwMydepU6TGMEDezRCw/fMjoJfbe3bt35b0C8vn333/Tli1bqFmzZrLfer7HZQf5P90gYO05qfX5npRnkrV2AIKt54YaoKQ+Q5DnfuLEidStWzcTAdXym9A6bqVvlu3gfTh37lz5jMNz7ujRo/Tjjz/K50auXLmU0+RSS3/MTuANRsAZCCAQvV5FhOswvvTSS0YRTNwoMiOZujl//nyjeDmbtkXAcaN4CZq2U3vl/PnzRhE82Yh+DRo0yKw7r732mlFotMz26WVDZBsxfv/996bujBgxwigCRMvt7t27Gw8fPizXBVE1CmJqFF/cprKpuSKC5RvfeOMNUxe2bdtm/Pjjj+W2iGNqFATUdExPK4IsGz/88EOj+MiS3RL5r43ipSXXse+VV14xiliKcnvp0qVGEcxbruvhP/RHJFeQXREvaKMIFG4UOcDltp7vcT1gx32IQ8DWc1Lr813rM8lWO/aeG+prpPUZImaPjMOGDZPP/Tp16hgF6TVVo+U3oXXc9toxNShWvvnmG6OIMKDeZVrX0h9TYV5hBJyEgK5tQDGNKgiR1HyqQ7tgygRTkopg/cSJE8pmqi/DwsLo008/lVl41J3BfmQCgfYI8e+uXbumPpzq6++88478alc6gph9+CqHBgB9VTS10B4GBQXR9evXlaKpuixTpgwh9Isi6Dc0HhAE0kecwQ0bNtBvv/1GuAZ6EdzTSDEIkwaYPkCbj3UIUloCbyU+ot7ucfECkwHF0VdoohB0HCF39H6Po78s+kDA1nNSy/M9Kc8kW+3Ye26oEdL6DMFvAIH4MVuhFq2/CS3jRr222lG3iRkszAyKD3H1brmutT8JTuQdjICDEdA1AcWUnmK7Igi4aeiYKlaH78A6MiTpRcqVK0fly5dP0B3xJS5tEQ8cOCAfIpjSRqo6vQhifSKgNERoESXpRE5m2ChiqlX9EYCpYJBpPQhImmLzib4uWrSIhHZEdg15pGFH+fjxY7ns1KkTwW5MTxIaGipjI2I6HqYlkJs3b5pNt+vtHlfwGzlypHzJAW98lOj9Hlf6zcvUR8DWc1LL8z0pzyRb7dh7bqjR0foM8ff3lznuFbtPpQ6tvwkt40adttpR2sNSaFOpY8eO8rmt3o91rf2xPI+3GQFHI+AWTkiWg0bKP3wFKoKvYYWAKPv0uITN5OrVqwn2fpBixYpJu7/WrVvrqrsIGA0N7ZQpU2Q8P9gWqfFGZ4G5rXSpqTUYMW1NQ4YMkSQOmghInz595B/IEQSG+tCGiil7ua2H/0AugTlyqUMLDU2tu9zjCDYuTE1o4MCBMoh33bp13eIe18N15z5YR0DLvW9ZBjUl95lk7bmh7llKnyFan/uWY0rue+22SL8J+09b7h1a+6PGgNcZAWcgoGsNqK0BI8ODWvuGdWQa0ruEhITIfPBKP5HxBg8LV2TFUNpMbAnt4fLly2XqvIIF47IAQwsNEgrypojeMD958qTUxCHDChynFIGZgLrfwBzaRT0InIv27t0ruwLtcv369aWTF6bPMJ1teY+7IkuLVlzQR2XWAc5eDRo0kFEp3OEe1zpGLpc6CGh5vjvqmWTruaEeeUqfIVp/E1rGre6XrXV8YDdq1MhmMgCt/bFVP+9nBByFgFsSUGhZ1q9fL+38MJ26Z88eeuGFFxyFidPqgW0ibHJgVwmTAky5gnQodn5Oa1hjxcLRi7Zu3UqzZ8828xLHlFKNGjWklg5VQVMHLa6iydVYvdOK4R4YPHgwYToYeKoFfUWOaghsn2BagPAoehAlf7ZwPpLdgakASB2IP0KLHTt2TIaVgiZEOIPJHNt66Df6ADOSefPmye7A3hae8NDo6/0e1wt+3A/bCNh7vuO3jj9HPJPsPTeUdtDLlD5D7P0m8C5AmDWIvXHLAhr/A6m2NAFTt2OvPxqb4GKMgEMQcMsp+CZNmkiHDeEdL8kbHCIs4yc6BB0HV6LkQcaUJUgFpl4Ty4Ps4C7YrQ5hgKCRVZsEvPrqq9SvXz/q27evJHkwIQBhRogpvQg0tviqRz8VQV5yEUVB2kEhJApsK+H8hZBYagc2pXxqLKH1tJU/G/3BfdK7d28ZsxSktGvXrqnRTattdujQQYaaQdgumGfg5dmuXTtpOtC+fXvZdz3e41YHwzt1hYC95ztsG/Hhht9NSp9J9p4b6nZgS5mSZ4i95z5mEsaMGSM/7u2NOykXCIQWoefUom7HXn/U5/A6I+BsBNw6FSccS2D7aWn07WzQUlq/O+dBBtFDLFB3E2g/YWMFA349CoJkW8ufDe94mBBYO6aHcQBX2AJbavHd+R7XA67cB5KOg1qe7656JqX0GaL1N+Gq95rW/vC9yAg4CwG3JqDOAoXrZQQYAUaAEWAEGAFGgBFwHgJuaQPqPDi4ZkaAEWAEGAFGgBFgBBgBZyPABNTZCHP9jAAjwAgwAowAI8AIMAJmCDABNYODNxgBRoARYAQYAUaAEWAEnI0AE1BnI8z1MwKMACPACDACjAAjwAiYIcAE1AwO3mAEGAFGgBFgBBgBRoARcDYCTECdjTDXzwgwAowAI8AIMAKMACNghoC3yBc7ymwPbzACGhFAjMp3332XkFsYgZqnTp1KyKtcu3Ztmanqs88+o127dhFSNebMmZOU8kgagAD8yLh0584dKleuHPn5+Zla3bRpE02YMIEQDBqxO5GJBOkzS5YsaSrDK4wAI8AIMAL6QQBphZHKGXG5R4wYQYsXL5ZxuhH4Hu+HSZMmyed4qVKl5H6UxzMeiSyGDRsmg/EjnjCOK4IYyHPmzKEvv/ySNm/eTCVKlKDhw4dTlSpVZCIXpRwv3RMB1oC653XTRa/x4EA6xubNm0uiiHSdeMi0aNFCZkqqVasWnTt3jl5++WXZX6U8shEhNRwy58ycOVNm7UBqUgjSgWI/suiAyA4cOJCGDh0q84zLAvwfI8AIMAKMgO4QOHv2LH399dcyC1qlSpVkxipk0sP74PDhw/I9MX36dElG0XmUnzx5MnXv3l2mGc6VK5fM9rZ06VLT2JDtCpmiXnzxRamkaNCggXznPHz40FSGV9wYAfHiZ2EEkoWAIJFgjUZBEE3ni/Soct/Vq1flvlu3bsnto0ePGpXyIk2cqfzBgwfl8e3bt8t94mvZKB46puMihZw8Lr6oTft4hRFgBBgBRkBfCCxcuFA+q/FMh0RGRhpFJitjzZo1TR0VBNQoNJxyWym/du1a03G8S7Jlyya3Ld8N2CkmbE3vE9NJvOK2CLAG1I0/HvTS9apVq5q6gukWTKnny5dP7hMPE7kURNRUpmXLlqb1F154gbJnz06HDh0ifNWeP3+eWrVqZTpepkwZKlSokGmbVxgBRoARYAT0iQCm3ytWrCg75+vrS/nz55caUKW3eNbDnEoRpEaGVlORZs2a0b1790goMOSsV8aMGalOnTrKYWrdurVpnVfcHwEmoO5/DVN9BFmyZDHrQ/r06U3bBoPBtK6sFCxYUFklHEdueeRCf/DggdyPh5ZaMmfOrN7kdUaAEWAEGAEdIgDCCLt9RfB8z5Ahg7Ipn/emDbECQhoUFGTapbxLlPcBfAdAahXBu4LFcxBgAuo519JtRrJt2zZTX69cuSJtgSpXrkwgpsHBwVIbqhS4ffu2tB9StnnJCDACjAAj4BkIXLt2TT7/ldFs2bJFvgPgcFq2bFm6fPmySTGBMhs3blSK8tIDEGAC6gEX0d2GIGx/aP/+/QRyCW/JYsWKUb169eSXbr9+/aSX49y5cwlekr179yZh4OJuQ+T+MgKMACPACGhAAE5GiIayb98++v7776lnz54Eb3iYYhUpUoTat29PO3bsIDgnTZkyRUONXMRdEIjXbbtLj7mfbo9AtWrVpN1PbGystBcVRuimaRo8jEA4x44dS+Hh4fJhdOnSJQoICHD7cfMAGAFGgBFgBOIRwJQ9Qi0VKFBAks4OHTrQtGnTZAFM5UMj+s4778hIKrlz56YPPviABgwYIMM4xdfCa+6KgAHuU+7aee63eyEAQim8IglT8Aix9OjRI2kDpB4FHjhwTMqaNavcDZIKm1AQ0169eqmL8jojwAgwAoyAmyKAmKEff/yxdDq6f/++tAXF+0GRu3fv0rFjx6SyQvEl2LlzJ9WvX186rIK8srg3AjwF797Xz217j8DzMEC3FASof+ONN+jChQsEz3kEKA4LCyN4R7IwAowAI8AIeB4CUDioySdGiMQliBmNWKEhISEkQvnR4MGDZTxRJp+ecQ8wAfWM6+gWo8BXLEinOuuRZceR9QJe7whqj4xJu3fvlobnlp7xlufxNiPACDACjID7IACzKmtKCGUEefLkoZ9++ok2bNhACFLfpEkT+U745ZdflCK8dHMEeArezS+gp3YfU+/InIRYciyMACPACDACaRcB2IkiZiiLZyHABNSzriePhhFgBBgBRoARYAQYAd0jwFPwur9E3EFGgBFgBBgBRoARYAQ8CwEmoJ51PXk0jAAjwAgwAowAI8AI6B4BJqC6v0TcQUaAEWAEGAFGgBFgBDwLASagnnU9eTSMACPACDACjAAjwAjoHgEmoLq/RNxBRoARYAQYAUaAEWAEPAsBpxDQBw8eEGI+4u/48eMSscaNG8vtkSNHym1rZTwLWh4NI8AIMAKMACPACDACjIA1BJxCQP/55x/ZVnBwMJUuXVrm9j548KDchzzgEMsycif/xwgwAowAI8AIMAKMACPg8Qg4JQ4oUmg9e/aMvLy8KF26dBLE0NBQucQ29lsr4/Fo8wAZAUaAEWAEGAFGgBFgBMgpGtAhQ4bItFnz58+XEK9bt05ud+/eXZJP7LQsw9eCEWAEGAFGgBFgBBgBRiBtIOAUArpy5Uo6cOCAzOkNGLdv3y63kV5REcsyyn5eMgKMACPACDACjAAjwAh4NgIOJ6D37t2jK1euSNQqV64sl4r9Z5UqVeS2tTKeDTOPjhFgBBgBRoARYAQYAUZAQcDhBPTQoUOybjgglSpVSjog/fvvv3KfQkgtyyid4SUjwAgwAowAI8AIMAKMgOcj4OPoISrksmLFitLe8/z58xQSEiKbUTSglmWs9eH69evWdvM+CwTg1JUxY0aLvfGbjGM8FvbW/Pz8KHv27DaL3Lx5k9QmJDYL8gHKmzcvo8AIMAKMACPACNhFwOEE1HK6XSGbOXPmpDx58sjOWJax1kNM07NoQ8AeAWUctWEYFBRkl4Aibm10dLS2ytJ4KSagafwG4OEzAowAI6ABAYcTUIVwKtPt1simZZlz587R5cuXKUeOHFS+fHkN3eYijAAjwAgwAowAI8AIMALuioBDbUAfPnxIFy5ckFhYTrcrhNRamU8//dQsbJO7gsn9ZgQYAUaAEWAEGAFGgBFIHAGHElDF2SggIEBmQELzlhpQa2WUrEhVq1ZNvMdcghFgBBgBRoARYAQYAUbArRFw6BR8o0aNpNe7GpH79++rN8laGTgqsTACjAAjwAgwAowAI8AIpA0EHKoBTRuQ8SgZAUaAEWAEGAFGgBFgBFKCABPQJKB39uxZwh9L8hE4ceIEbdmyhWALzJJ8BC5evEi7d++myMjI5FfCZzICjAAjwAgwAqmEABNQjcA/evSIhg8fTnv37tV4BhezRGDu3Ln0zTffyExZffv2JcUe2LIcb9tHYPLkyTR79mw6fvw49ezZk27cuGH/BD7KCDACjAAjwAjoDAGH2oDqbGwO7c7XX39NWbJkcWidaakyBHL/888/6bvvviMEz0dUhJMnT9ILL7yQlmBI8VjxIbRz50765ZdfCMHzvb29ae3atdSnT58U180VMAKMACPACDACrkKANaAakF63bh1lzpyZlNBSGk7hIhYIQNtZrlw5QmD8zZs3U7FixahLly4WpXgzMQRA3n19fWV0CZBRmDQgfi4LI8AIMAKMACPgTggwAU3kaiGV5W+//UbvvvtuIiX5sD0EQDyRbADTxyBNvXv3pv3799s7hY9ZQQAaz48//phGjBghCXxUVBS1bt3aSknP3AWt+SeffCJND65evZriQYaGhqa4DlSwfv16Wr58eYrqioiIoNGjR5Myrjlz5tDff/+dojr5ZEaAEWAE9IoAE1A7VyYmJoYmTpxI/fr1o8DAQDsl+VBiCCCPOtJZ/u9//5N4vv3227RmzZrETuPjFggga9iUKVMI5GTlypVUuHBh+uqrryxKee5m27ZtpQYdWt8MGTKkaKCY2WjRokWK6sDJcARDMo2GDRumqK7w8HAaNWqUiYA2btxYkm2j0ZiievlkRoARYAT0iADbgNq5KtDYnTp1ioYMGSJLQdtkMBgIsU379+9v50w+ZIlAtmzZqESJEtJmEccwBQ+HJJakIXD06FGqUaMGFSlSRJ7YoUMHSeiTVot7ln727BkhZjCIY8uWLVM8iGPHjtHTp09TXA/u4yZNmlD27NlTXJe6gqJFixL+li1bRq+99pr6EK8zAowAI+D2CLAG1M4lxEt+06ZN9Pvvv8u/9u3bU9euXZl82sHM1iGQJpD527dvyyJwSCpbtqyt4rzfBgLVq1en06dPE8gY5MCBA5KQ2ijuMbuvXLlC7733nhzPt99+SzNmzJDrSP2Lj0FoMvH7hDbYMjTVokWLqFu3btS9e3epNY6OjqYdO3bI9WvXrkkHLiUs2J49e6hHjx7UtGlTSeyV6XA0hrBXEyZMkFPt7dq1k8uQkBAaO3ZsAntmXJcBAwYQyqGvuO8xo/L+++/TX3/9Jfuu/Ldq1SqbWmzYSSP6huWYlHN5yQgwAoyAuyLABNRdr5yb9RvaoXfeeUeSBXhs40UP0waWpCGQL18+SbaGDh1KCGV15MgRev3115NWiRuWDgoKkpET0PXSpUtLbTpioVaoUEGadoBgFi9enL744gv67LPPTCMcOXIkffTRR5Q7d25Cqt8PP/yQZs2aJR23gCXqBalHRAF8aNatW5fg3PXqq69Kwlm+fHkCyYWcOXOGpk6dKqfbM2XKJD8Ctm3bJutQR3PYt28fYfoc573yyisEgon6YL9769YtaUJh6qBYwbS7LYFmFeQVhJaFEWAEGAFPQsAg7It0aWCEFytL4ghgajtv3rw2C+oNR2iBnjx5QhkzZrTZ59Q4ACICAmNLEHMTmjO9CH620IKi33qTihUrOqVLcBjCfYOPl5o1a9KGDRtkOCrEl/XyivuWfuuttwh2stAyIvRXnjx5pLazXr16sk8rVqyg1atX0+LFi6XWccmSJZLE4yDsaevUqUPQmCqCfWjrp59+ovnz5xPqP3jwoIkMjxkzRta/detW5RRJYoHBzJkz5T444HXq1EmanKBvIKPoG8K6HT58WBJjaFpxLUFsoWmtVauWqT7MFOBjDXbTLIwAI8AIeAoCbAPqKVfSTcYBLZDeyKebQGfWTdgi65F8mnXSyRuYdm/QoAFBCwnveCXLVq5cuWTLCP3l7+8vCaHSFdjM4s9SMAV/6dIlGjdunNmhNm3a0MaNG037UF+lSpVM2/gwyZ8/v2kbHwYglfDUVwQfiegjBLbPIJ7wmEdkjYULF1Lz5s2lhhaaV2uC+tEOCyPACDACnoQAT8F70tXksTACaQgBOGRBQ9mrVy/CtDem4+vXr29CAFPXiF4Bsp6YwJYTYjmbkDNnTmm7qZwPDaWibcW+x48fS5KrHIdTEzT8wcHByi6zpY+Pj7RHhQYWswHQrPYU2azsSUBAgGzHXhk+xggwAoyAuyHABNTdrhj3lxFgBCQCsJ0sVaqUtLUEoYOTEsJ9gdhB4EEOYnnnzh25jf+gFYVjUFhYmBkxLVCggLQDxbS+WqD9VGs81cewDttP2IYqgkQBCBEFRzFF0CdoXeH4BAHhhBkBtKBwLkJ/7AnqV9uY2ivLxxgBRoARcBcEmIC6y5XifjICjIAZAphqR2xZ2MJi6hsJI2DjiYDuENhRlilTRk51wyHo7t27MoA/HOJgvoCpcNhiguDhfNhYgsgizBPqhG3p3r17qWPHjmbtqjeQUhbRHdQCJzskXEAEDRBMeMHv2rWLqlWrJouhT3B8gpc8withWt+WwO4YdqNoh4URYAQYAU9CgG1APelq8lgYgTSEAAgcYnlimhzT1NASIgwT4vbCYQmB6hGsHx7yiEEL7STih8JxCALHJNgklyxZUmYcGj9+vNSMQiOJqXIQVZBHezE4kZ4Xnu1wNIKtJwRB6UF2W7VqJdOmgjzCgUlts/vmm29KYpzY9Ds0qdCg2tPCykb5P0aAEWAE3AwB9oJ3swtm2V28JOHpa0v05gVvq5+pvR/kwJ284FMbL3vtO8sL3labSAyBMErp06e3VUQmj4CmESTUUjBND9tORaBBBYFEmCYtAlKL8E2I16kW1IO6QZAtBdpVkFvYsdoThJCCnSkILAsjwAgwAp6EgG4JKKbG7AleJtBewJZLq8AZAdN2eCkogby1nIvz4LmN85Ii0Igge5It71ZbdWXOnJmUwNi2yij74exgLyWhLRzxwgV+eHnbEy19wVQmpjAT67OWurRipqUu2OLhOuMFbkvgUALigvtI0WBZKwst1KItT2nD0WDy9jLS0whval3psfh7Yiqu9Z7EPYg+JZaFx9YYY2KJ7j32Jn9fIxXMnV5q2aCBsye4R9CeYh9prSxIXNasWaXNpL1yvr6+kvDZ6j9ibqYlgQc+AtdjqhyaWHuC2KUIqo9wTtDU2guthGuKEEzwqk9rmNrDkI8xAoyAZyCgWwKaGEEEcQAxtPeitHaJ4BULu6yknoeXLshkUgSEBMQlqeeBCGjNfIJxWNPqKP20hSPGA/wSa0dLX1AG4oi6tGKmpV8gA7ChSyx+J7AATvY0aEcuGmnUz5be1EYa8nIkVSwkGKEQrfek1n5ZG+P9xwYau8KPHocbKCzCQLVKxdLAl8hk9yg7YuU/jBE44EPBlqD/wB85yRMrh7K2cMVvLK0JNJUIkK9ka7I1/kmTJtGwYcOoc+fO0t4UONoSBNHHPYApfRZGgBFgBDwNAd0SUNhV2RO8KPHwtkWwrJ0LwoXpMGgkk3oeNEhJ1WRCmwTyCXu0pIgtzZe1OjB1bE8DagtHaHShAYUThz3R0heUAWFJTEOspS6tmEGDm1h7ME/AdUZYHFuCewgEPjEN6NyNRlp3yJKACkeX4mHUrU7c9QVZgO1gYlp53IPQgCZWzhKvSBEHv9+iuBiX6vF0rRtDdYvdVe9KsI57BDjgg8iWoP/QZmP62d4HGsgsytrSgCpxOG2144n78TvHvWbvt6iMGwQ/MU0pyuL+xkcRfqcsjAAjwAh4GgK6dUKyp4HBRVCOK8ukXBick9zzktKOUjapbSW3f0p76mVibWs5nlgZpb3EyuF4YmW01oVyjqhLax3+vkrP1EujnI5X14F19ba6tOV6YuUs6zpz058C/WLpWaS51mzzES+qU9S2ZhPtKm0pS8u+WJZJrJxl36zVl5b2gZTjT4toIZ+oR22XqqVeLsMIMAKMgDshYP4mc6eec18ZARciECuIpaBxFi0ayEfYg7pKDAYjeSXoA8ilq3rA7TACjAAjwAgwAo5BwCUaUEz9IVyKWl588UX1Jq8zArpGIDwK0+8Jp+DDo1z3DVc8VyQF+hspLFJoWZ/3xdfbSK/WjAu8rmsAuXOMACPACDACjIAKAZcQ0AMHDtDMmTNlHmSlbSagChK8dAcEyhcw0tYjRNGx5iS0dJ64oOeuGIOvMAUc1vYeDf5ZhPURak9447/6YjQ1rmAQcShd0YPUa8OeSYAjegX7cBZGgBFgBBgB1yHgEgJ69uxZmW6uR48erhsZt8QIOBCBmqWINh6KoP+uBpCfT6zUP5bPH0FVi4Q7sJXEqwr0M9KM7rcIDkmQ7Fkziv+12R7KE9z4PzhQ2fK8T8mwYLvJBDQlCPK5jAAjwAgkHQGXeMEPGjSIoPFEYGYE+65atWqCBz5yJSvSvHlzSoysKuFL7Hn1KvWpl/DexUssKefh5QRP1KS+/OARDc2NPY9idd+UdZyntS143yIWqC2xFRoJ48G4EmtHS19QBuKourRgpqVfIBa4zvbwBwa4l+CZbA9H9AlYH7tioNshIppCJiOVE1pRtWi9J9Ev9Cmxe1DLGLVeR5RDe/Y0icACfbN1zyhjVTCzhSt+Y44WBf/EIgckp11EQVDu4eScz+cwAowAI8AIJB0Bl2lA0TWQ0IULF9KyZctkrmR1d4sUKWLaRCiYxMiM1hevqdLnK3g54sVp6+VpWR7beOHiL7E+WZ6LlxpenEk9D2PTeo49QoH+2KpHIUu2jitj0dIXlNEyTi11acVMS10KAbU3RoV0JUYGMT7cM6XyGMVfHDriO8ZM0Cct94mWfqFiLWPEddTSplLG3v2CuhRynFg5e9fbGQTUDGjeYAQYAUaAEXB7BFxCQH/44QcZUgQvuLZt29JLL71E165dM0t1hwDNarGVwUcpgzigeEEnRSOClzDiZiJeX1LjgCJuZlLjgOJlDq1ZUs9D/Eet59jT2gErW/UomZBsHVdw1tIXJROSI+rSipmWfuEegdZdSyYklLMXiB54IJ6rPaKq9Z5EoHZoXG3F0UwK9rgvgVli2CM+pZZMSAgRBLzsfaChPZBMW/1X5zxXxsJLRoARYAQYAUZAjYDTXXgxnXf58mU5zYmG8eJCIG5bAdLVneN1RoARYAQYAUaAEWAEGAHPQ8DpBBTakilTptDevXslesibjPzjlSpV8jw0eUSMACPACDACjAAjwAgwAoki4PQpeEx79+/fn+bMmSP/kOZv6NChbPSf6KXhAowAI8AIMAKMACPACHgmAk4noICtSpUq9N1330k7NdiigZSyMAKMACPgbgggP/uWLVtIHbXD3cbA/WUEGAFGQA8IuISAKgOFw4RWwdS9PYG3tOK1a6+ctWNwXkqsfvV5IMz4S8o5OB/nJKePyTlH3V/1uq0+ow0tY9LSF9QDsdWW0h+tdWkpp6WMFvyVMqgvMcH47Dkh4b7Sem9pKadljCij9Toqvxlb48RxiJZyWvpvqx2n7hcOhl6//0rCzoeMBQqSsVUb/BAd1mTfvn1lVjcmoA6DlCtiBBiBNIqASwloUjCGR7E9wUsSL97EylmrQ3nRWjtmax9euEltC/1LznkgFVrbQhv2xFY9CnGxdVypU0tfUAZheRxRF8ajtc3E2sMYEsNfuUYol5jAgc5eeCLUoaXvWvqFMlrqQpsYQ2JYoJyW/qNdLeVQX2Jtoi6XigiT5TP0EzICE7H+//bOAz6KavvjZ9NDCIRQRZAivRcVfCgIImJBRQUVRfGB6PNhAUV8KKIoCqKiKH8Un6hgeQIqCgjSi0gVEKRJ772GkL77v78b7mZ2stN2NyHlXD7rtFu/M3HOnHvOuZ5tW4kWLaCsEe/gQQi6K19//TVt3Srq5MQEmAATYAJBEyiwAijWjzdLePnhJeg0DBNC7SDkjtMwTBBarfqk7y9C2iAMk9Ny0LTZLWMVhsmoHowH/Iyuq7HY6YsSWEJRF5ghbmco6kI4ICv+EPLwQz6rhLBDZhpQu88kAp8jOoRRGCPVDzvscQ/t5MMY8bdiFl4J9xHMrPKhPeQ16r9VOCs1vlBvw6b9QB4xTgifSGKVDcJSAa7flpCnXXt5LtD/7Nu3j0aNGkXvvvsu9e/fP9BquBwTYAJMgAlcJFBgBVC+Q0yACTABRwROnSSXWO1Jm1xC0HedPSsFUe15J/v46OjVqxeNGTOGEMOVExNgAkyACQRPwNrwLfg2fGpYuHChaWBwn8x8wASYQEgILNkcQSN+TqD3fkmk3cfN7atD0uAlqMRT40ryXLRj1TbvqVJVe+h4H5pPLB/ctm1bx2W5ABNgAkyACfgnkK8C6JIlS+iVV16hU6dO+e8Nn2UCTCDkBKauiqfx86KF4BlFO45F03uzytLKnTEhb+dSV+jpcCNRXEnyCJtYTL17hJmAu2598rRoGVTXvvjiCxo3bhwhgkf79u1p06ZNdNlllwVVJxdmAkyACRR3Avk2BX/ixAlSS3IWd+g8fiaQXwTOXgijBZtL+jSX5XbRdytKU4vqqRQZvG+OT92X9EDYf2YNG06ulcuxBi1RhYrkadY86C5h8QyVVq9eTb1796YNGzaoU7xlAkyACTCBAAjkiwAKz+ERI0ZQv379aOTIkX67+eOPP3rPV6tWjWrWrOk99rcDJxo4VgRikwUHCqcJzh5O21Ie1k7LORkX2jBLRm1jPHbasZsH99ioLdU/u3XZYW2nLrDBc2LWL3WPkM8qwUHKzAveyTMJRx5tv06fd9HaPZEUIeYkrqmVTrHiEbUzRrDCGLR1acdxUgigJaLddCHNd7IjIyu7jFYAVQwwTjNnK7SpuK7ZGUl7T4RTQgk3dWgk7C3NH0dt1/Js39Pq2jyrmytmAkyACTCB0BAQjqJCcsjjNGXKFDp06BA988wz1K1bN3rnnXcIQqZK6EK9evXUIfXs2ZNefvll7zHvGBOAxzI8lzkFRyA1NZUgeBklPKNWwr5RWavzOw4TDfyCKPqiaWaacMj/5F9CgZdgVTL7+sKNRJv3ESXGE3VrI+J4arSaqOuJcURnkn3rChfy6OQXhJAbhMA4fArRhj1E6ZkiypGoD7+vB/i279tq4Efgj0gFTqJe2G0NUQmU8G23DOdjAkyACTCB4AhYq30u1n/TTTcRtJT4n7U2wT5qzpw59M0332hPe/d3795Ns2bNkjZU3pO6HbzY165d6z0L7dCRI0e8x/52oMWEJsZpOKWKFSvKFZmcloP911lM6zlIZcuWlS/Nc+fOOShFlJCQQFhxxU6yEj6NOGJRAPCzsse105cyZcpIzaBVn+3UZZeZnbrKly8vnw+zkE7QMuKZhmBjJYBiGVkzzaDdZxLPYFJSkmwTwtvASZXkrYawmJ089Nq3mTSqVxadO2v+HIydV562HRJhpIRGMzzMQ5OXuWj0Q0cpJjLnu/LJGyPozZ/LUXSEW2ooI0S+IV1P0rGjbnHfiKavK0nLt8dKAbv3TWFUp9xx03BNENY2HChBa3bkfPhkCedzWF5O+PU89b1VSMKcmAATYAJMgAmYEDAVQFeuXElz586VxX/77Tc5ja59SSOm4LRp06h27dqGTcyfP5/27t1LXbp0kXkg+PXp04eGDx9O11xzjbecPp6lXcWs3XzehsQOygRaTluP3f38bEvfJ6u2ra6jPjt57OYraHXZ7Y8an538dvKo+k4mhVOJKDFFni7Uh97komNJEZSJYOqQEA3Sxv3R9Nf+HHUnbDshhP6wuiQ9cG3OR0+VxAz6vz7JtHxrlhAS3dT0ilQxxY+/AaIPfk2kbYdhkpKtCv1gOlH31tHUprZOZarrw6FTIt6mEDiFXth7JVO0v0c4OnFiAkyACTABJmBFwFQArVWrFg0YMEAGbsf018yZM6XWTFUKTWX16tVp8ODB6lSuLYRN/FTyNwWvrvGWCRQ3AiWiPZTpG7pSIsgUGk1tWrcnhv4+EkmlYj3UqfF5Od2974RYDUwnBEIIPXQ69591KaGsvK5uqo9m8+jZcCF8+q44liFiuP+wqqSlAJpQwkNRER5Ky8zpZ5jLQ2VLCpUu+dapHQfvMwEmwASYABMAgdxvKg0XTIcuW7ZMnrnjjjvkNLt+Cl6TnXeZABNwSKBUrFsKlDPWlfKWxBR5r7ZnhIAXS9BDfr6kNK3bEysE1WwN5/R18TTo9uM0e2O8ED/1ySME0EhauSOGWtVK1V/0OU7JEA5KubSv5CNU+hTQHFxfP0MIqlHC/jNbCwrNK4Tf7q2geY3T5ORdJsAEmAATYAK5CZgKoNrsCD1iNh2ozWu2D4ckTvlL4FDaURpz4L90OuMstS/Thu6veCdlebJoyKaRNO3QLEp3p9Pd5W+lQdX6Bd2xqcdm0LxTS6h0ZCn6T7WnKSEiR7AKuvIiWsGtTZOpckImLdwcJx2Ibmp0nupVThejjZXT46t3aW0ts4XQt2eU85n+zkHjopQMF32zPIHOpZ6jmxpdyLmk26uckCG1mBfQ1MUEp6R4IRQbpUVbStDG/bFUWsiYL91xnJZsK0E7j0YJzWcW3dkyyccByqgOPs8EmAATYAJMwLYAOnDgQGnLeeONN9Jdd91F0IhWqpTtPMEYCy6BUxmn6c6Nj5BbGPy5xb9VSevo97OrKcmTTH+e2yQncNH7H4/PouiwaHq26mMBD+apv1+m5WfXUJb45xL/5pxaTNMaf07VYqoEXGdxKdisWhrhp0/Hz4ULIdEtNI05NqLQNGaHWtfnzjmGU9JMoSltWzdFeNfn1pMiZ5T46+/f+SQN/aGCsAnNdlBKLBkmtKsncyrS7L0/O5F2HouSmk60v2J7JRp2zzHq3MTcXlRTRVC7MPmBM2CoU15FNwh1P7k+JsAEmEBRImA7DBO0n/BUnzFjhvytW7dOOhFBGL333nst43Y6hYawOGYJ3st4ccARykmCExXsWZ2Ww8sP5ZwkeEXDazozE3Zx9pOTtjAOvQOXtqWbF3WnDee2eAVNXIsLL0HJWbk1Y7FhMbSu/XyKCc+x4bPTF+RZdWotdV3+qLZpud+idGP6odXnct9OXXaZ2akrOjpa3mcr/vDqxvNmZl6C5z8tLbeAqB2w3WcS/UKfrJ5ByfXvLBozM5JShVZTJdhaItRSusb+Ul3TbiPCPfTJ42kiDqiwtRFjNOJwQQxry4EwioxwUcvakZSZkZZrtuOvfWE0/Hu9g5GHGlRx05Buvn8XWkdFbX+C2Qd//C1ZMQukDbDBvePEBJgAE2AC+UfAtgYUwl7Lli3lb+jQoYQVQZ577jkaNGgQrVmzhiZPnhzSXp8+fdq0PrzEEUbIMi5gugiOLX4eIXi6hKAErW1ycrLj8E0IW2QVZkjf4XLlykmh1Wn4JoQ1shq/astM+ESek2mnfYRPnMPLPEYIm6luXyEfU/FnRfinlLAcQcNOXxITE+lw8lGKDy9JSVnn0YQ3Hbxw2DsWO3XZZWanrgoVKkjBEiGP9Gn2yYV0MuMUNYyvR+0q/8OWAIr7aBaGye4ziWcQ0SDwHJoljLF6wmmqUT6RthzK/iiArSWmyZ+88SS9/2s5URzazRzhNKc+4dwktKCpyacpTXxrQHOI9owEuJqJQiOK0GZhZemkGKc+38FjMSK0kxDUhd1oThLe+mc83vurzufVMpXok+Xfu+qEgy0+PFgAdQCMszIBJsAEQkDAtgCKGIgLFy6kBQsWyN+OHTuoSZMmUgiFBvSSpK1bKGrbVvKIQOwZ17bB0jE+3YhYt5Zipn0vz7mE9upC/+dJSKA+eYr6QcO4unQ47ZicFldjveBOoRqxV9DulH3qFIWLf6Uj4ilKI3x6L9rYqV2yJmV6fDW9qPPy6MtslM7fLF02PCztYdHfNE869T7fg/pX6Zu/nXDQ2lOdTtFv22JpsxBCSwv7zNubJ1Gc8J5/6B9nhK1naWFeoa0MAmp20PzEuEyasqrURccgbR7n+5cJG1XfdkTgedFOxdK+99x5zVyCCTABJsAEiiMBX4nNhECdOnXogQceoJMnT9KwYcNkoPj169fLVY1at25tUjL70rFjx2j27NmEwPShSOE/fk9hn4yjqAXzKPqXmRQ/+AUxJ5kzRRp2YD/FfvcNQfDEDyn2ozHkPuXfvi0UfSqIdbxU7VkpfEa5ogiRGyEUPl65J/14cVq8pJiOLx0eTxBUf2n6dcBDgAD65OW9ZHm0EyPsSUtFlKSP6rwZcJ15UfDjg1/SgbTDlOy+IIVPtDHpwFTacn57XjQXsjqvE7acfdufoftan5PCJyr+R50UalItx2EoIgz7wjrTI0xTxO5xEUt02d+xNGpm2aD7UbVspvTWR0Ww/0QIJizx2beD+UxF0A1zBUyACTABJlAkCdjWgL700ksyDuj06dNp+/btctodDklt27Y1tUEENdiNwvv9+uuvp0mTJlGPHj3otttuCxho+J7dFL5kUU75rEzyiOn46BnTKe3ubG1s1KIFOdfVnkfYY/7xB9HV16gzRX4bHxFHq1rOou+O/UTnMpPomlLN6apSTaWX+p6b19DKA38ITVYYXRlbPWgWD1W6RwqycESCnWn3Cl0oNtx4ecugGwygghXnclbcUsU94rn4+8Iuup6uVacKzXbgnWliFaMoWr8jjUqJ9dj/3BtDB2Uc0Oxp+YysMDp8JoLW7HRT/SCV//DWr1Uxg3YcjaX4EmHUqsZp0q4lX2igcUeZABNgAkzgkhOwLYA+//zzhB/syBYtWkTz5s2jF198kbZu3UrPPvssjRw50u9gYG+IpTpfe+01ql69OjVt2pQ+/PDDoATQsCOHySPs1WDbqZJL2IeF79urDmHomLOv3RPCRnFLkWERBOFQn8KE4FmnRE396aCOm8c3IvwKaiofWVZogsNkRICcPrqktjbnuHDttW0gnIEqZK98tGpnrOh8bpvQ5LTc5wIZZZ1K6dSwqtCAir8/CxPWQKrnMkyACTABJlBMCNieglc84EkLb2A4A2CNc3jqxsfHq8u5tnBeGjNmjBQ+4UWOwPYQRINJnngRikXUq00ecewRjkIqZbT+h9r1bl2i7xHXtPIe807RJbA2aSO9sWU0fbj7M0rJSvEOdOAVT0rhE4GMkCJdWE2IqH2isCEuAqlB5TS5HKd2KHAcqlXJWbQIbXneZwJMgAkwASYQagK2wzC99dZbciod68PDuxhru995553UoUMHshN2BcLqgw8+KL1/P/30U6pRo4bPWJo1a+Y9hq0p4o4iuU8cF/9xU1iFit7r2EkdNpTcu3dlnxOaPLgGx344jlyx0ABlp4zFiyjji8+IhJMSCa/5mKcHUETNmqaezKqsfgtBGtpcJwllkAIpZ7cMwgeVwPgMkpHXtt2+2Rl3IHWlZgnbXPEvOjzH4x5DCKQu/dA/3fUVDd38tqwfAma6J4P+uHEuXRab/Qydz0ymfuv+Q0dSj1Hrsi3ppfr9yZ2eRbGaZ0dfJ+6H1T0JRd+17QbCHktp9vrAJZf3jBB/Fpni+PGbPXRjU3vPIrzBjZ4Z1TerceaFRznY4wM2r7zgEYrJKq1YsYLgfNmpUyf5/0Cr/HydCTABJsAEjAnYFkBhv9muXTspdF511VVeQcG46txX8BJZsmQJDR8+nH766SefF/748eO9BerWrUvNGzcm1yf/R7R3jxRA4UjkHjWahLQr8+GF4Zk/l9wb/hQxZkqT566uRKUTvHV4dxBPNEXEoSkptLRCW4twNAiB4ySmJ164ELJRzklCiCSEjrGKaaqvE4KQ3bbQNzMNNAR/fwltoKzVC91OXyAA495a9VnVNWH/tzRm938pzZ0mbERj6bd//EwlxBbJLjNVl35s+1IOUseV3XxOQ9C9unQz+qr5WJ/zOAADhE9C3xFqyyhBKIP5iZkQquJJpmtMQ/zVh/uFWQSrfEZj1NaJ5xLhyPQhnVZuj6AL6S6qc1kWXZ7ols8v2jMTLlEP+J8/f94yH/Ia9T8vgsXbFUBTslLpo70T6EDqIWpYsi71vaKnFpfffYRhshJAYW4E06OOHTvSxIkT6YsvvpAf334r5JNMgAkwASZgScD6s/9iFUuXLrWszF8GvKQQwB6e8njZQ4gdO3Ysbdq0iSDIqtS3b1+1K7fnBjxDIsAgudxChSMSdI/uMe9Tyr+fkscy5mLbG+jCVRqHIiOjtCgRQ1H0wyU0KHg54uVvJSzJRi7+B/3GC0r/ktfm8bcPAQImC07LZdvXmceIVO1ZxQE1ahumE/4EF1Wv2trpC+4FBASjtrR1TdwzhUbv/cTrgX5BTI/ftboXTW44nmCrapeZUb/+PrtDLv95JjNH8MZq5X8n7/LbP2jrwMHOBwmEdTMBTj6Toi4roR4CKP4u7PCyyoPnEs+nPl+jyoo6iWsiZNLFfunje+bkyo4DiucJ/TfLh2fHiD/qywsBVNtPo32E1Wq+rCNFuSKl1nvuicX05cHJtLT1T2KCxLG1kbcZRO747rvvCFE/8JEC50vMBGH2hxMTYAJMgAkERiDw/yvbbA8vq48//phWrVolS2zbtk2GcqpWrZphDR6hbXKJcElK+ERGTCCGHz9KrtOnDMvxhYJP4JODE73CJ3qL5UFPZ56lNUlCkx2CVCFKBP93+67Mg2oxFc+paBN4b/cnMswYTC6Q3OLDAx843x3+KaiBz58/n9q0aUMHDhyQUTyaN28uHTCDqpQLMwEmwASKOYE8F0ChnYGX/IQJE6hPnz7SIQke8eXLlzdHHxGZ+7rQGlGYWIOQU6ElAA90fUIYJKxUH4qEcFJhrtzPCGKfciraBPanHPJZcAGjTRGrfR1JE3bkQaSDBw/S5s2bqXfv3rR8+XJqLMyDENOYExNgAkyACQROIF/UQnAwghYUtmVm622rYbjEtGjGVVdT5OqVBM91JDkFn1jWx9Nd5edt4SFwV/mb6ZNDX/l0+JxYvrNFfBOfc4EerE/6S2i9hM2vLv338Dd0T4XAY8/qquPDAkigUXxdWnxquZh+Fx+qmnRlieqaI+e7MEc4cuQI7d+/X5oywB4eZkSdO3d2XhmXYAJMgAkwAUkgtzoqD8HYET5V82l33CW0nWFS8FTnwuERL+w3ORVeAo9Xfpjalm4tBxAfHieW6qxEvzT5Wq6cFIpRJYtlRuNEvfp0XrdGvf46Hxd+Ar2r9hBLyUZSxEUNOFbjahrfkO6o2CmowV1++eXSXh12tEiYglcmRUFVzIWZABNgAsWYQL5oQAPhW2LTRhKeIdL2E+VhA4rVjuLg+X5PN+kU5PprI8WJ9eA9wsPd074DPC1sNQUHCicJZgR4+cBBxkkKtJyTttCGWTLqM9qAA47RdVWnnb6gHjgh2akLHvPjm74jvJQPU6rwWK4WW1U6H6n2lFOQnbr85WkZ0ZToYnQuVSfsP+vF1fbbP3WPrLygURc8zu14wfvrl+qL2sI22iqfHfbIgzFY1YXxKWcx1Qf9VjHAOM2crdAm8lq1qa8/r48jxH1e0+ZX+urgVDqadoJqx9UQwufNQTeLVduGDh1K+/btoyuuuEI6JMEmlBMTYAJMgAkETqDACqAe4QEv3vY+I8NqR55jR+XL0fPVRKKLU/QuvISnT6P0t0Z5wzT5FNQd4OVq9oLVZZcveAgeTspo63BazklbEAbMklHbaMNOO3byqPaN2lLXtXVVjsqJ66otF2y/sK79hIbv0b1/PkalI8SHiWi8akxlmtB4tN/7pwR4tGuV0E+zfHb7jnaQVztuf23byaPK2anLqj5VB7ZqX9Wv3aoPDrM82vz5vf/Q5dnL8Yaq3SpVqtCoUaPouuuuo4SEBLn4xsyZM0NVPdfDBJgAEyiWBAqsAJohYnqGRwpNZUaOPZcHtqEVK1HWls0UtXyZvGFS/wfBFILY91Mo7d7uhjdSCRtqNSfDjLoLKAetEMI3OUl44cN+zG65iDWr5bjSw8Mo67p2lNlEaPMsktJaGWUzahvaK4zL6LqqDxpLqzwI3YOxWuWzU5cSkoKp68qo6rSg2VTaEbaHIrIiau4bOwAAGVVJREFUqFlkA8oSgebxT58gTEEzaBZ2SJWxiqOJfPggsOo78tl5Bu3wwnOJMVi1iTGi/2bjBHskq3xK8LRqU1ZWRP7Ts2dP6tGjB505c4bKli1bREbFw2ACTIAJXDoCBVYAhfCVJYTMiN3Z86keMWWJKfn0m2+hyDWrCMeI66mSXAv+4H51aHsb+dsSilq4QKwrn0ZZ1WtQyqN9pO2p7QpClDFq9i8UvWiBt7aYyd9S2pnTlCFinXJyTqBMZGm6rcJNMt5rUlKS8wq4BBPQEcDHBQufOih8yASYABMIkEC+CaCnxZT6H3/8QQ0bNqTLLrvMVndTHn+SItauofAD+8ktNKIZba6XwqEba8ELrY82QTvqTiijPWW5H7lwPkULm1LlaR8uhN2YSV9Q6iP/tCwb0gwi8LdW+ETd6FP0nNmU0epauYxoSNvjypgAE2ACTIAJMAEmcAkJ5IsAimU3p06dSm3btpXbevXqydigdsad2eIqwk+bsuo3IE+VquTauUOehvAJgTT1gYe02Sz3o3+d5XVyQmYIfdC4hsHOVLf2vGVlQWRwialRT3QMudLEsqHaJKbIoeX1iOlTTkyACTABJsAEmAATKCoE8lwAhc3ZpEmTpBF/jRo16MEHH6Tu3bvTI488QmXKONNYaqFn9nuGIn7/jbI2biRPKbG0YadbsJagNov1vvDkFcZ4ufMh4L1Ikb8vE1rIWTL0U1aZRKL+z8v15HMXCO6MRyzN6CkZ5yOAwhpPCp/CBpMTE2ACTIAJMAEmwASKEoE8F0BhN/Xll1+SWrM8NTVVBqTXO0O8/fbbXq5NmjSRHqfeE352UG/YTTdTxg0d5FUnoiccN6TzTqPGRH+u9/G2d4n+xdWuQ7RqJdGsGdLuVDYg7DHjx48jeuE/uab//XRPnoJzCMLtYO1vy/T0AKKhL2V78YtyCMZP/xlC8WLtaW9KEuubL16U3admLYiEQG+VjNrG+NE/o+uqXuSzyoN7gWSVz05ddpnZqQtOVgi5ZdYv5FFrm6sxG20Rx1Y56vjLI59JwVTx8JdHnYNTEMZqluyMEX23cx+RTzmLGbWp+m2VD+2psRrVxeeZABNgAkyACZgRcIkXqnX8GbMaHFyD9yyW4YQH9osvvuhTsl27dt7jrl270lNPPeU9NtqB8OC0+3hxoh8o5xEe9qnP9CPhGiy0p9HkEoJp9EuvkEuEWkl56l9Eycm+TQtv76h/P03h9er7njc4wotatmMTsSclhdwitimET1eDhuTSxB1FWKrUwS9k9/Wi1jbysScos3kLr3Dvrxt6QV/lATv8lEezOq/fYgx28qCcnXx28thhZrdfduoCB3wYwevcKKEeq76jrJ1n0u5zYWeMdu+jnX6h//j7MHpmcF0ls/qUIKvyhmIL/khqG4o6VR2KoTrmLRNgAkyACeQ9gTzXgKohIGTLsGHD5AvkpZeEpk+XFi9e7HPm8OHDPsf6A2iQ8KK7IBx47Ca8aCpVqkTnzp2T3tGy3KtvUNiBA8L+M4OyLq+CGDREx46RmBDPtWo5BJAzJ05QlrhuJ5UrV0447mfQ2bNn7WTPzlOtujRNgNMWaby344a/Jqbo03xsVtOFw5QH2lohGBulYwZ9RTxD8Dt58qRRUXkeZhKyLya5EhMT5X21ymenLrvM7NRVoUIFSy94CHnQkOI5shJAT4h7byaE2n0m8QxiWdpk/QeOjrGdMZYWGnJoN9E3s1SqVCnZnplwCW0xvLzxTJjlUxpjo/7bdTI066+/axA+Eb4q1AmaZvy/gRMTYAJMgAnkH4F8EUDxch80aBBhSbuBAwdKwSf/hmjdklsEmtanDKFZjFq2lISK2HspTGgos6pX9x7b2fEIgTZi459QD1Jm7bokpBw7xXLlgT2o/hUpna+Sz4u8OUHdcxXkE0ygiBCA8Onkg9PusGFagQ8RTkyACTABJpB/BPJFAMUydnXr1qV+/cR0dyFJ6bfeThF791D4/n3kQdB28TsvprwxVW83eS4kk+fVIRSTmiI1hLFimjd5wAvCw76C3Sq8+RB6KlyU16YwIdi7YwMTaLX18D4TYAJMgAkwASbABPKTQJ4LoFu2bKEVK1bI3+TJk71j++ijjwjORgU2CY3IBWHvGSamsF3CVrRknbrksZgy1Y8l/YXnSBgXSs2l0l7GfjqOkl8Y7NibPvWBByluzGjyiKlCpZVNu6EDRZpMv+v7w8dMgAkwASbABJgAEygIBPJcAK1fvz4tXbq0IIw1oD5AWymdFISdneOk01iivEtoLcOOHyd35cqOqnNXvpzOCwepqNkidqlYtSlTeMFnNmxEAfTKUbucmQkwASbABJgAE2ACoSaQ5wJoqDtc2OvDkqGUYt9xSjtej5iGT+t2n/YU7zMBJsAEmAATYAJMoNARKLACKDyAzRKcBqCZhOex04Q4h4gF6iTB89eqT/r6MuHYIJyPfJLwPC9VsRK5TMbnpC0zb2W0a9RntAF+RtdVn+30BV7EZm05qQue+aHqF54Rb8xX1Qk/W/TfzLsdRdAneJybJSfPJEKRwevcLNllj3at7iPGaBUeCfUgYZxm4Y7AAnmt+m82Nr7GBJgAE2ACxZtAgRVArUL62A15o729eHEiBA7Cx6QIj3a7SQkfZ86csVtE5itVrz55Nm/yLSM0oGcg/CLMkkGCMGE1flVUBfhXx/qtUT0qDJPRdVWPnb4U5DBMiO+ZpAlnpcalthCkEIYJ+eANbZQgkCGclpmgaveZxDOI588ojJHqgx32KgyT1X10EoYJ4zT7sIFgDOHTqP95FYZJcblU27/++ot27NhBnTt3dvwBe6n6zO0yASbABAoqAY49kod3JvLJbK9/j3hZu0X4JXiynxerG4llmPKwVa6aCRRfAhkiTOhPq6Ppvwtiae4Gcw2zE0q9e/emAQMG0O+//y4jeuzatctJcc7LBJgAE2ACOgL5uhKSru18P4TWqUWLFvTWW2/RXXfdleft33PPPVSvXj0aPnx4nrfltAG8TI8ePUpff/2106K58j/66KNSe/jhhx/muub0xJ133klNmzaVixY4LavPf/311xPuwbPPPqu/5Oh43rx5cmWuRYsWUcWKwcdcbdasGT399NP0z3/+01E//GXGog7btm2jqVOn+rvs6ByEKwhas2bNouoO4906aiiAzNBAY1EHszigbhGyt/fHCRQZLvJmIe6Eh8rHu+nth5JMW4TmW5mR+MuIIP+1atWiI0eOSM0nmENDPGLECH/Z+RwTYAJMgAnYIFCsNKB4iWEK1Wwa1QYz21nwksqvtmx36mJGxcJpOX/5Q8m0INYVSlbgh+cCdYYigZfZdLmTNtQ4Q9U3J22HIu+0VTEU5lLCJ2p00dmUMFqyJThNKMxVYF4xd+5cuUrU8uXL6YorrghFl7kOJsAEmECxJVCsBNBie5d54EygGBA4dCaM3B4VcTd7wOmZLjp2Nrj/zUE7On78eIJ2vmrVqoRlhR977LFiQJSHyASYABPIOwLB/Z857/qVJzXjRQIHAiwJmh+pTZs21Lhx4/xoynEbmOZu3bq143L+Clx99dXStMHfNafnQsmsffv20l7PaR/0+THtjucmkIgL+rpwfPPNN1ONGjX8XXJ8Ds8XmIUiYR14jNPKsS0UbeVFHVUSs+T0u2/dHqqUIEKfBZHWr18vBU5sj4mFKcA8FOYTQXSJizIBJsAECj2BYmUDWujvFg+ACRRTAjALsLIBzRRyZt/xpcklPqvdbhdFCVvQcqXcNPz+4GxAP/jgA4Lw+fnnn0v6f//9txT6j4sFJTgxASbABJhAYATYHTswblyKCTCBAkYgIpzosyfO0uz10XQiKYyqlsuiGxqkB93LW2+9lT799FMZdgra4dmzZxPOcWICTIAJMIHACRR5ARRx+/bv3y+nmxH8G+n8+fOEmH7aFIrpaEzPrV27Vk77aqdYYTO2Zs0aGcwc09WIo3gpEsb9559/5pqyRUiZAwcOUKtWrWxPM/urC84wK1euJMScbNCggQxWbjVOxK/8448/qGHDhqSNHxkIM3/3Wts+nEgwLe/P49nfNXg/o2/wCK9bt662Kp99eKHv3btXmiGUK1eOtm7dKr2ltZ7k0N6hLjyDTZo0kc+CTyXiwOi51Pdt3759dOjQIW9xTJ3Xrl3be6x2/DHU9g3X8bzqU506dQh1apNR37R5CsK+S5iA3tI8LaRdAVtEeoDpBJjBDnTkyJEhbYMrYwJMgAkUNwJFegoeoYaw+suVV15JCxcupOeee46uueYauf/RRx/J0Crqhgf7QpkxYwZNmTKFEPoHbfXo0YNuu+02GXAc9mIQsCA0wI7wvffe8yuAqL7kxRaB1l9++WUpFL799tveJhCSCoIzXrLz588nhFKqbLFOvb+6IMCCL0IMqcDvCD+FIP5G6aeffpLhg9q2bSuFM4SsQsgkhMtyyszoXqu2v//+e3r//fcJIZX0tpz+rq1bt45eeeUV6tSpkyzTq1cv6tq1q6rOux09ejRt2rRJ8kMYo0GDBsmwW/369aNbbrlF5kP4nn//+99S8EcYoc2bN8vpXH0/8Nzon0s8r/p+o18IoQXvbCQItA8++KDcV//xxxChn9Av1TcEnH/zzTdVEUpPT5cfSngGcB+1yV/fgv2b0dZvtW9nCt6qDqPrVmGYVDn0AYI4Fi7gxASYABNgAsERKLIaUGg4YaM1adIkSQgarP/9739SAN2+fTvdcccd9MgjjwRH72JpvJjmzJlDr732GlUX2jI4+OAlDgH0u+++k5pFFYvy8ccfl1rCUGhc7XYeGs7BgwfLJRa1y0liZafFixcTBEEIQ9AM/vzzz/TEE08YVm1UF2JHtmvXjp588klZFkIO4mZC4+gvQVuKezNq1CjpkAMBqnv37vKeoD/QxtplZnavMzMzpSB58uTJXN0wuwah74033pD3Ev3q06ePvJ/a5Sf37NlDS5culUI0VlSCgA/hsEKFCj5t4cMEz4JyXEEeaDVvv/12n3za51L1Dc+VPiEfhD+zUED65w5jwD3R3n/sa4XIcePGSc2nXvhE+9q+6ftTXI7xMcXCZ3G52zxOJsAE8ppAkfWCxxQwQqeoBG0PNHdIeJlC6/HNN9/Q6tWrg47JiBfTmDFjpPCJqdZly5bJfbSFaWEEv1cJ+9CA5WeC1g3Bsx944AGfZsEA5gAwDwAfCHJ64cmngDgwqmvDhg1SE6fyYxp3586d6jDXFprpL7/80usNjnsD7RIEU6fMzO416oOwP3bs2Fx9MLoG4Q8aXWgWkeAFX0KsZHXw4EGfOiCMI49aQx1a5PLly0ttqFbzi4+Onj17esuCNTSU+qR9LmHKACFc32/wP3XqlPy4+uqrr2Q/9fXgWM+wZs2aUiOLPmr7pspCiwstZ//+/dUpn622b6H4m/GpnA+YABNgAkyg2BEosgIohAJl84kpZmjbHn74YXmD8TJdsWKF1PpNnDiRBg4cGJIbf+7cObr77rsJ0/GwGUPC9CtsIlXCvj9tnLqeF9tGjRr5DQcFjecLL7xAL774ouw3hGdohs2SUV0IBYTpbQhvECQxHX348GGzqrzhfhBMHZ7GCAEEG0qnzMzuNTS7GJM/u0+ja3he4GyiFdSgLYTgp00Yn1ajCBtBCJdI0IqrBK2psvtdsGCBFBrV9LzKg632uYS2HtpVfb8h1MMOEUIgBGhoiWfOnKmtRu7rGUIrr4Rebd9UQXh4d+vWzXtP1Hm11fYtlH8zqn7eMgEmwASYQPEiUGSn4NVt3L17t7TLg0Copr0nTJgg7ecguHTp0kUGmIbGq0qVKqpYQFsIl5jCXrJkCUHrhalkaPogKKgEAU0JxurcpdpCqIA9KIQP2H1C2wab0CFDhjjuEoRHaHYx1Qthq3nz5obCjLZyCFPDhg2TAhu0tEiBMvN3r7Vt2d3Xt49yuG8xMTE+VejzWd1bPBvQWsIGGNpnfTJ6LrX56tevTz/++COVKVNGnsYSkSiHKX5tMuobPg70Cfak0GC/+uqr+kveY6O+Bfs3422Ad5gAE2ACTKBYESiyGlDcxS1btsgpRTiAKHs7OFrAY1lNm0I7hSlWaIwCTagTGlUkaM1gCwkHEUxrQqOn1Zxh38rJJ9B+OC2H2IbXXnutdMbCFPN9990n7VOd1oP8GC9sYDGtDu0djq0C/mM6+fnnn5d2da+//jop+8pAmPm714GMA2XgAZ6cnCw1jaoOf/cN0+36e6v15FdlsYUGfvLkydI2uFq1atpLct/ucwm7XUQOUAl2oBAgoUXWJicMEVaoQ4cOfoVi1Gm3b9r2eZ8JMAEmwASYgBmBIiuAIoQOppeHDh0qBUIFAdo5aKCUwAjBBVPi/hwvVBmrLer8+OOPadWqVTIrwvKgTgga8IqHgw5sHNEnTE1DO1gQEjTCGL+amoXdodISO+3ft99+KzWocNKAKQK0wLBhNEu4N3AOgwkANHYqOWVmdK9VfU63mPZG36GxRMJYoHFUWkc4H+F+IqQW7GYR5gvaz+nTp0snN317v/zyi4wwACcffOxoE/qOn93nElP8sNPEPcNUOsw98MGDDyqcw8cVkhOGeAb8rdilxmm3b9px5cU+7gtMI0L9Ux+jedFnrpMJMAEmwAT8EyiyU/DQNkFb9Mwzz3hHnpiYSNOmTZN2c3BQwg+e8hCA9LZ23kI2dqD1hC0ehFDUCdtCaAOhIevYsaN0SoIDEF50999/v9fxxkbVeZoF8QwxdYvwSdBywQHpX//6V0Btws4SnvZYIxvaOHh8m2lAIfTgIwA/3CuVEIbIKTOze63qdbqFNz8+YDDdjfsGz3WVwGjEiBHSQ75v377SQx7PFj44EH4L2lxtwvQ1tJTaafJ77rlHPpswf4CAh+cHP6vnEiHFYGeMdiH0wuxDtQeNO8wZIDg7YQih1V9ECO047fRNO+ZQ7yt73GD+To36pOo2us7nmQATYAJMIPQEinQcUCtc0CbhBR7KFxBs7PzZ9yE2Jmw/8+IFajVOq+vQpEF7hmn4YJPR+AOptyAww0eMirdpNAY4b8GW1d99Nypjdt7OcwkhH6zx/JqlUDO00zez/vA1JsAEmAATYAIgUKwFUH4EmAATYAJMgAkwASbABPKfQJG1Ac1/lNwiE2ACTIAJMAEmwASYgB0CLIDaocR5mAATYAJMgAkwASbABEJGgAXQkKHkipgAE2ACTIAJMAEmwATsEGAB1A4lzsMEmAATYAJMgAkwASYQMgIsgIYMJVfEBJgAE2ACTIAJMAEmYIcAC6B2KHEeJsAEmAATYAJMgAkwgZARYAE0ZCi5IibABJgAE2ACTIAJMAE7BFgAtUOJ8/glgADsWPlo+/btctWgW2+9ld544w3KysqimTNnUvfu3eVqPxs2bJDlVf6NGzdSv379qEuXLvT+++/LgOraBubMmSPr7dq1K02ZMoWwhKVaFlObj/eZABNgAkyACTCBwkmAA9EXzvtWIHqN9dCxulONGjXovvvuo5iYGHr33XflOuqnTp2inj170ty5c+V687t27ZLrpyM/1kPHspRYd37kyJFyScupU6fKFamwbjqWmsTSpQ0bNqQxY8YQVt/BkqpYZpITE2ACTIAJMAEmUPgJFNm14Av/rSk8I4Dw+dZbb8kOb9u2jb799lvav38/ValSRQqSlSpVImg9a9euLfN07tyZPvvsM7nfsmVLwm/x4sV0ww030NNPP029e/emsWPHyuvQqkIQ5cQEmAATYAJMgAkUHQI8BV907uUlG8lVV13lbfvKK6+kRo0aSeETJ8uVKyevHTlyxJvnlltu8e43b96cypcvT2vXrqXTp0/Tzp07CUKnSg0aNKDq1aurQ94yASbABJgAE2ACRYAAC6BF4CZe6iEkJib6dCE+Pt577HK5vPtqp1q1ampXTrsnJCRIO1BM2yNVrVrVex07ZcqU8TnmAybABJgAE2ACTKBwE2ABtHDfv0LZ+wULFnj7vW/fPunE1KJFC4JgGhcXJ7WhKsPRo0dp/fr16pC3TIAJMAEmwASYQBEgwDagReAmFrYhTJw4kTp27CgFziFDhlCtWrWobdu2FBERIZ2NBg8eTPCYb9y4MQ0fPpw8Hk9hGyL3lwkwASbABJgAEzAhwAKoCRy+lDcErr76aulw5Ha7pb0oQjaVKlVKNgZPdwicCOcEL/tevXrRnj17pId93vSGa2UCTIAJMAEmwATymwCHYcpv4sW4PRW2CVPwbdq0keGV4ICkTfPmzSM4JpUtW1aehpAKm1AIpvCO58QEmAATYAJMgAkUfgKsAS3897BQjiAqKkp6v+s7//rrr1OJEiVkGCZsR48eTRcuXKBOnTrps/IxE2ACTIAJMAEmUEgJsBNSIb1xhbHb8IiHxhPCp1EaP3689Hpv1aqVDHC/bNky+vXXX3N5xhuV5/NMgAkwASbABJhAwSfAU/AF/x4Vyx5i6h1LekZGRhbL8fOgmQATYAJMgAkUZQIsgBblu8tjYwJMgAkwASbABJhAASTAU/AF8KZwl5gAE2ACTIAJMAEmUJQJsABalO8uj40JMAEmwASYABNgAgWQAAugBfCmcJeYABNgAkyACTABJlCUCbAAWpTvLo+NCTABJsAEmAATYAIFkAALoAXwpnCXmAATYAJMgAkwASZQlAn8Pxzn9ZSPNK04AAAAAElFTkSuQmCC" /><!-- --></p>
<p>The package provides two functions for labelling facetted plots in a more compact manner, removing panel strips and using in-panel tags instead:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">d =<span class="st"> </span><span class="kw">data.frame</span>(</a>
<a class="sourceLine" id="cb7-2" data-line-number="2"> <span class="dt">x =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">90</span>,</a>
<a class="sourceLine" id="cb7-3" data-line-number="3"> <span class="dt">y =</span> <span class="kw">rnorm</span>(<span class="dv">90</span>),</a>
<a class="sourceLine" id="cb7-4" data-line-number="4"> <span class="dt">red =</span> <span class="kw">rep</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">3</span>], <span class="dv">30</span>),</a>
<a class="sourceLine" id="cb7-5" data-line-number="5"> <span class="dt">blue =</span> <span class="kw">c</span>(<span class="kw">rep</span>(<span class="dv">1</span>, <span class="dv">30</span>), <span class="kw">rep</span>(<span class="dv">2</span>, <span class="dv">30</span>), <span class="kw">rep</span>(<span class="dv">3</span>, <span class="dv">30</span>)))</a>
<a class="sourceLine" id="cb7-6" data-line-number="6"></a>
<a class="sourceLine" id="cb7-7" data-line-number="7">p <-<span class="st"> </span><span class="kw">ggplot</span>(d) <span class="op">+</span></a>
<a class="sourceLine" id="cb7-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_point</span>(<span class="kw">aes</span>(<span class="dt">x =</span> x, <span class="dt">y =</span> y)) <span class="op">+</span></a>
<a class="sourceLine" id="cb7-9" data-line-number="9"><span class="st"> </span><span class="kw">facet_grid</span>(red <span class="op">~</span><span class="st"> </span>blue)</a>
<a class="sourceLine" id="cb7-10" data-line-number="10"> </a>
<a class="sourceLine" id="cb7-11" data-line-number="11"><span class="kw">tag_facet</span>(p)</a></code></pre></div>
<p><img 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" /><!-- --></p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="kw">tag_facet_outside</span>(p)</a></code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="custom-themes" class="section level2">
<h2>Custom themes</h2>
<p><code>egg</code> provides <code>theme_article</code> and <code>theme_presentation</code>,</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1">d =<span class="st"> </span><span class="kw">data.frame</span>(</a>
<a class="sourceLine" id="cb9-2" data-line-number="2"> <span class="dt">x =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">90</span>,</a>
<a class="sourceLine" id="cb9-3" data-line-number="3"> <span class="dt">y =</span> <span class="kw">rnorm</span>(<span class="dv">90</span>),</a>
<a class="sourceLine" id="cb9-4" data-line-number="4"> <span class="dt">red =</span> <span class="kw">rep</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">3</span>], <span class="dv">30</span>),</a>
<a class="sourceLine" id="cb9-5" data-line-number="5"> <span class="dt">blue =</span> <span class="kw">c</span>(<span class="kw">rep</span>(<span class="dv">1</span>, <span class="dv">30</span>), <span class="kw">rep</span>(<span class="dv">2</span>, <span class="dv">30</span>), <span class="kw">rep</span>(<span class="dv">3</span>, <span class="dv">30</span>)))</a>
<a class="sourceLine" id="cb9-6" data-line-number="6"></a>
<a class="sourceLine" id="cb9-7" data-line-number="7">p <-<span class="st"> </span><span class="kw">ggplot</span>(d) <span class="op">+</span></a>
<a class="sourceLine" id="cb9-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_point</span>(<span class="kw">aes</span>(<span class="dt">x =</span> x, <span class="dt">y =</span> y)) <span class="op">+</span></a>
<a class="sourceLine" id="cb9-9" data-line-number="9"><span class="st"> </span><span class="kw">facet_grid</span>(red <span class="op">~</span><span class="st"> </span>blue)</a>
<a class="sourceLine" id="cb9-10" data-line-number="10"></a>
<a class="sourceLine" id="cb9-11" data-line-number="11">p <span class="op">+</span><span class="st"> </span><span class="kw">theme_article</span>()</a></code></pre></div>
<p><img 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uD7FLxDTgL6vn372lyczZs3d4vL9PrZZ5+Zb775xkaVMs0lEQEREIF8ECDB/HvvvRdJOH/CCScY0sip2EU+zoaOKQIiEGQCebGALl261LRv3978/PPPGbOhvN1BBx1kzjrrLLPbbruZkSNHZtymGhABERCBdAm8//77Zv78+RHlk/03bdpkunTpkm5T2l4EREAECp5AXhRQ8oAyTXXeeedlBPi5556zVtT169fbxPI0RpJ51VnOCKt2FgERKAMBEstTRCNWlHA+log+i4AIiIAxeVFA99lnH7Pvvvsm5P/DDz+YY445JvIXW8bO7fjEE0+4t5HXv/3tb7bGcmSB3oiACIiADwQOOOAA61LkPZQSzntp6L0I5J/Axx9/bPbff3+zyy672NlTYlEk+SGQNx/QZMPdbrvtzAUXXBDZZNWqVZH33jfk09tqq62iqoxwwd922229m+m9CIiACOScAEnmyfO533772WTzXJtq1Khhp+WzefDBgwebp59+2uy4445mxIgRtqJcNttXWyJQqATQJbz5ximPW7duXbNs2TKbn7dQxx3UcQVSAS1fvrydSnfQEtWCv+mmm8yzzz5r/azYlgs+NeaD6HP1ySefmMsvv9x899135sgjjzSPPvpoKWuJG69eRUAEwkmAm9vq1avNzJkzDQ/SJ598clZLDbdq1cq8+uqr5o8//rDXO/zecTnC+ioRARFITuDKK6+MMlrxO9qwYYN5+OGHzfXXX59w5wULFhiUV2Zu+c1JskMgL1Pw2em6MQ0bNjQffvihwfJQqVIlc8ghh5gVK1aYihUrZusQWWmHGxI3JlJO/ec//zFPPfWU/SKTsuXTTz81Rx99tCFB/9VXX52V46kRERCB/BGoVq2aOeecc8xpp52WVeXz7bffNi+//LJVPhmdqy9PQKdEBERgywTwx3a/G7c1RqtkAdHElbRs2dLOytaqVcvev92+2Xj9/PPPDQ+WTZs2tbEx2Wgzm218/fXXZuDAgebNN9+0zaKzoLhnQwJpAU1nYChua9euTWcX37f917/+FXVMvvArV640Dz74oLXW8oPgb/ny5VZJJY0L1lyJCIiACDgCWGCYdo8NakrkouT206sIiMD/EeDBcNasWVGZKlCmUADjybBhw0pl1mnXrp01IBHLkqmsWbPGGtKcDkBKSdx45s2bl2nTWdsfd0iMfczajh8/3jzwwAOGwO/Ro0dnfIy8WkB5qrj77rszHkTQG8ACGvvU9eeff5oBAwbY5W4duVFJUfXMM88EfUjqnwiIgM8E8C0lrZNX8HmvV6+ed5Hei4AIJCDQqVMnOzPB6ipVqtjZ0kceecTOnsbbZcyYMaUWlytXzrz00kullqeyYNGiRdaS6B4i27ZtG6UD4A6wePFiq+il0p53G/SIF154wSrMzLRmQ/CR3X777Q2KOO4LuBahgGIVRa/JVEJvAc0UgB/7MxW3ZMkSs3Hjxsjhfvnll6gvnluBYuq+nG6ZXkVABHJPYOHChWbChAnmH//4h/XXxq0nSEKwxPDhw835559vuAnSTwIx8QmViIAIpEaA3zj5er/99luDFTPZA1zlypVLNUqmHfy70xViQFBo+e2S6eeNN96w6SOdAcq1h2ve999/7z6m9EobBx98sGE6H1m3bp1VYs8444yU9k+0ETMuzNjSp0MPPdQGPbIty+njzjvvnGjXlJbn1QKaUg8LYCOS5VevXt36g3FTI0qfJ4rTTz/d3kS8QyQlBNVUJCIgApkTwK0Fd5ctycSJE+3NiN9qnz59rF85kbFBE6b/PvjgA9O/f39zxx13WJ/ystwMgzYu9UcE/CSAsta6deukyif9uf3228022/zPTrf11lsb8ph37Ngxre4OHTrUjBo1ynB/R/lEmAGmHzxIeoVtiGdJR5gmJ9AZxZM/hAdVZlQzEVwBqVR50UUX2fYJeLz//vsNRTdq166dSdN23/+Rzbip9BrA9wFfxzp16pgGDRqkt3PItuYLTHAUNznGzZeOaDqm00aWVG7i6YWnIj7fe++91hk5ZENUd0UgUAS4CFMGE58qLuhcY1DcvDcT12FuCDwMIviDOQd7pse40CYSZjHw1UIBxDrglzAVz59EBEQgtwT4nXENQFnkPk3VRayYsUrjlnrx2GOPGVzsvMLUNtkrSKlGeyi3zIDedtttNk8p160hQ4bYqW6uZWTUSCT4tca2j04xe/Zss8ceeyTaLaXlU6ZMsXoaAZD169e311HiV5h9yVTyooByQm+++WZ7g8ASSBRnmzZtMh2L7/t/9NFHNjUDZnzy/W1JeOLyCv5b+Fjg88krlk8i4SQiIAKZEWDqjKd3N71F5Oall15qH/hiW8bSWbVq1Ug1Nbcet5lEwgMllgEu+iiizGowpaccxImIabkIhJMA93cMR5lIolkKlFCuIRTVwfXu8MMPt0ou7noY57C24hdK7t9rrrnGDBo0KG43yLzx1VdfRa1jX/xcMxXcFXIleZmCB+Ktt95q0w6Rf4unA69/ZK4Gm812uZmRz5Nyorvuuqv1HStr+0TmXXHFFVI+ywpQ+4mAhwB+UKRic8onq3hPzuB4QkUU/JxihWVcl5je4kbBAyPT3twQuDngiI/1lBsIaVxI1yIRAREQgVgCTOVz/XCCHykWTqbJkQsvvNAqmFhYETLnEGnOtcYJUehz5851H6NeMeRhQXXCsfDTJP4kyOK7Asr0Fj5ZrhoBF3+eDriYO+GC/vzzz0f+sCwESfDn4MvAF8T5czBdR4SbRAREIL8EuBB7L8auN/GUTNaR269nz55uM/vKBZy8vUxfUQgDawLXrltuucV0797dXty9OzB19uKLL3oX6b0IiIAIWAJHHXWUmTZtmi0+wywJxiuCeBJN5TP7EpvxghmdRDoGPqPM8jRu3NhWdiJiPRXf93yfHt8VUEL3sSZ481ySSJ4paCc8Gdx1112RPxfZ5db7+fr6669bawd95kZFP+Plv6J6U1lTM/g5Hh1LBAqdAEojvlVeiwMX/XPPPdcOHSsmka977bVXRGlEASU69pRTTjFnnXWW9e3kN83UGxGgTrBI8Pv3WlfdurLO4txzzz129oObVLbSp7g+6VUERCAYBI455hjr48k1BL0Ct59EwgxL7EM0syzoIIkE/0wCkQg8YpbZe/1LtE++l/vuAwpUrAVewbLg9Z3ixLz11luRTXDSzYdwM6BKkRMss5zkeAEAKNTcsBCStbpgo/3339/trlcREAGfCOA4v/fee5svv/zSBvhdcskl9qJMsBHBgE5QNslrx3rWuWAk1r/zzjv2YTnWcsp14Nhjj7U58dw6rl+J/LPcseK9ElxAbj13TSRY6pVXXom67sTbT8tEQATyS4AHU9wHsWRigUTBzJY89NBDpmbNmjZoEv0IS2mLFi3Mcccdl61DBKId3xXQnXbayTrtc+EmSgvBqogfpVe82r/XWurdJtfvY0tj8oWj31hXiDrji4HQV6bouImhoFKZhG2x5GLd6NatW667qvZFQAQ8BLi28ADJNBbWSi7gX3zxRZTyyeb8nrt27Wp/u57d7VseNGNnZ2iHh0qm24lK5UGZaFCm5vELT0dQcFE2vYIiSooX+ioRAREIJgGuKQT+cH3hGsLsB7Xk77vvvqx0GH0IiydtMmt86qmnpn19yUpHctyI71PwpEHhaWHSpEl2aChyOMvyFzRBgYwVvnD4rXLzINKWGxRPPviCkpsPdwF8Q92+vXr1stvGtqPPIiACuSfANJTzsyI1U7zrjPutxvaG/dxMDL9zfu+kYyG1CQ+dpCXhJoGPerrKJ8diliRelGq6Sahj+63PIiACuSXQo0cPWwKc379zvSE1EcnlsyU82BKkTXWjslxfstWPXLbjuwWUweAgywnE54poMFIyZVuwTjK1xhQcFsvYeuypHI/ING42XuFpBz8xaqPGVixi2i9WuFERzOCi22LXJ/rMExZT+S41QzbqziY6lpaLQDEQYEqegEfv75bfZzyl1PGggAQ3mA8//NAqsi540q3P5LVZs2aRqXfXDg/oVDySiIAIBJfA6yU+nF7fcHrKZ3KbM1UuSY1AXhRQMuiT+3Lt2rXWqpBaV1PfCuWNNCwot0yNIzxJ8KVJR3jqwALy+OOPG1wHaJeIWJTPeIJlFHcBtnPClFqyG5zbLvb1wAMPtFOI7I+Fhv6nW30htk19FoFiJoCPNmUr+f1izeT6wCsJ6pMJVlR+j9kWlFuug61atbK+piifWFqd1TXbx1N7IiAC2SGw++672wT1znebVnmfaWnKVHtHsBGui85NKNX9grZdXhRQB4GLfy4EiypT5d4vB1Pm48aNM2effXZah8TJmLQrTIs1atTI+n0kaoASVWzDkxBKKFN4KKRYUtORTp062ZQKBDs4wR+VRPWyhDoiehWB9AkQ5IMFdMaMGfb3ifLnpujTby3zPU488URbrWn69OnWOstMjfONz7x1tSACIpALAtzrSRXJQyz3e36zGJpcXs9cHNO1SV5iAil5MEYJRbfJxQOyO14uX/OqgOZqYFg0vMonxyH1weLFi8t0SJRK/rYkpHX57rvvDDlB8e8iUpbSmukGUWGp9SqfHNf5o0kB3dJZ0HoRSE6AB98zzzwz+UY+ruW6wZ9EBEQgHAQIEiLWg8Bjcphzr+/Tp0/OO9+7d2/rmufVD6iehKshMyphk7wqoEwt41tFSbtsCnkAUdicczBt86Sy2267ZfMwcdsihRSBVZkIZnxqWHuFL1y8gAXvNnovAiIgAiIgAiJQNgJEnBNQzBQ7ub+TCW5+zKr6KbjseJVPjo1fOzMo6c60+tnvRMfyPQredQSIffv2LZUWxa3P5PW2226zyqdLxEqOPp5YLr744oTNojTWKUn+SuQZ+bewYOZLKKuFwuwEZbpSpUqBstq4vulVBERABERABMJOgBRKBAAeccQRVg8Ioi82Sm+sMNvrcpDHrgv65/9pOT72lEz97du3tylMcnFYlEh8QK+55ho7HU6OvuXLlyc8FP0hcm3FihU2RynT6OTzJEgqH7Lvvvtakzo+nwRMkDUgaOVI88FFxxQBERABERCBbBOgiiH5uglaxq8SYWZ22bJl2T5URu1Rxc3rs46hiplk3P7CKHmZguckkx8TU/fUqVNLcSNIoEOHDpHlWCbT9ZEiopQk8KnItddeG7UZTsVM348cOdLErovaMIcfsMIG8Qksh0NW0yIgAiIgAiLgO4EhQ4aUOiYzp+TgvO6660qt29KCjz/+2AYuY0wiYX22hKBFgp/atGljqyRRUx43ANLJhVHyooC6QBqCbeIJGr63BCbJXnMp8RJRuwoHuTyu2hYBERABERABEcgvAa9V0fWE4GEMWekK6RtRCmnTGdlOOumkdJtJuD15yL3xLQk3DMGK9OmmOShM2JMnT7Z74cd40UUXbbEFnH+ZPndC7s1cCn167bXXog7BCf7nP/8ZtUwfREAEREAEREAECosA0+/Tpk2LUuzInEPKo3SE9ExjxoyJChSiZC8VEvfcc890miqKbXPuA0ogEMmV+YvnQBsEyiigl19+ue0KCeeJNsc1IJXUS0Hov/ogAiIgAiIgAiJQNgJMZT/33HN2Z6LKufd/8cUXaRfKwW0vNkodgxrKraQ0gZxbQEl9FIb0ANRxvf76682qVasMyaqz6bdRGruWiIAIiEByAmTiePPNN206mOOPPz75xlorAiKQEYFTTz3V5gunEQxnZfGrxNAWT/AnlZQmkHMFtPQhg7tECaGDe27UMxEoJgLUlMYPnhshQZtUWuHhWFWSiulboLH6TSBTRfH22283WFP/+OMP23WU2F9++SUURji/WXO8nE/BJxtUy5Ytzd13351sE60TAREQgaIiQOACpfUIviQlDFN63MSuuOKKouKgwYpA2AgceuihthAN0+6kg+QhkpmMeEFOYRtbLvorC2guqKpNERABESgjgblz51o/dJePkGawqEyaNKmMLWo3ERABvwiQvzteZh2/jh+m4+TNAkquzxkzZijBepi+LeqrCIhAzglgOSEXcaxs3rw5dpE+i4AIiEBoCeRFAZ04caLp0qWLrTLQr18/M2jQoNACVMdFQAREIJsEqMrWtGlT4/VHwxeUOtASERABESgUAr4roNQtHT16tOnfv7/p2LGjGTBggLWEYhGViIAIiIAIGPPqq68akleTFo78gRMmTDDHHXec0IiACIhAwRDw3QeUqLBRo0bZ1CJQxMEefwkUUye///67mT17tvtoS1qlW4ozsrPeiIAIiEDICFDjmZJ7EhEQAREoVAK+K6CAJEIMwc9p8ODBplWrVqZq1ap2Gf+I/qRWvJNmzZqZww8/3H3UqwiIgAiIgAiIgAiIQIgJ5FwBTVSKEysn0/A41nuVTVhSieill16KYFX0ZwSF3oiACIiACIiACIhA6AnkXAF1pTghRXQnQmLlG264wdSsWdN07969VMUBpp9QQp0oh5YjoVcREAEREAEREAERCD+BnCug8Upx9unTx5a77Ny5c8oEH3nkEflEpUxLGxYqAZIaJxP8qXv27JlsE60TgYInsH79erPffvslHefrr79uvvrqq6TbaKUIFDqBJUuWmAsuuCAvw9yqZArc1+RyixYtMpdddpkd7FZbbRUZ9NChQ02TJk0in71v8BV1pa28y/VeBIqNAL8ZZhUSyaZNm6xbS6L1Wi4CxUKAgNdk9bw3btxYLCg0ThFISiBfs8y+K6BJKWilCIiACIiACIiACIhAwRPwPQ9owRPVAEVABERABERABERABJISkAKaFI9WioAIiIAIiIAIiIAIZJuAFNBsE1V7IiACIiACIiACIiACSQlIAU2KRytFQAREQAREQAREQASyTUAKaLaJqj0REAEREAEREAEREIGkBHKeBzTp0VNcOWfOHDNt2rQUt9ZmIlC4BCpXrmy6du2acIAPPPCA+e677xKu1woRKBYCRx99tDnmmGPiDvf77783Q4YMibtOC0UgGwRI87V8+XLz22+/2cI65EQPqnTr1s3ssMMOvncvFAroihUrzPHHH2/2339/3wHpgCIQJAJUEEsm5Nm98847k22idSJQ8ARIrv3ee+8lVEB//vlns9NOO5lLL7204FlogP4ToCBInTp1bE7mP//803agcePGBmNa0OT++++3SnJRKaCrV682CxYssBWR6tatu8VzUr58+Ugpzy1urA1EoEAJUKY2mbDelbxNtp3WiUAhE9huu+22ODySb+u3skVM2qAMBKgsRPEcp3zSxLJly+xM7plnnlmGFnO3S7LCJrk76v+1nPxulqOjT5482daAX7lypendu7eZMmVKjo6kZkVABERABERABETAPwLM2nqVT46MQir3qOhz4LsCSuXP6dOnm379+tnpj2uvvdY888wz0b3SJxEQAREQAREQAREIIYHmzZub2PKWGzZsMPvtt18IR5O7LvvuA0ota+f8Td1qfCLwlfDKL7/8YkaOHBlZtHbtWrPXXntFPuuNCIiACIiACIiACASRwN13322GDh1qypUrZ9BzttlmG3P55ZebI488MojdzVuffFdA3UjXr19v2rVrZ3gqGDFihFtsX3///Xfz0ksvRZbVq1cv8l5vREAEREAEREAERCCoBIhZYQp+2LBh5scffzSHHXaYDaQOan/z1a+8KaCVKlUykyZNMrNmzTKdOnUyEydONJw0pEqVKgY/USdjx451b/UqAiIgAiIgAiIgAoEmQEBo586dA93HfHfOdx9QcmPNnTvXjpvp+BYtWhhyGy5cuDDfLHR8ERABERABERABERABHwj4roAS8j98+HAzf/58Ozzytf3www+mdu3aPgxXhxABERABERABERABEcg3Ad+n4LF6EvmOEvrwww9bJ10i4qtVq5ZvFjq+CIiACIiACIiACIiADwR8V0AZU9OmTa0CSrUAJQL24SzrECIgAiIgAiIgAiIQIAK+T8F7xy7l00tD70VABERABERABESgOAjkxQIK2p9++snW6qU+ao0aNYqDtkYpAiIgAlki8MYbb5ipU6eaihUrmq5du0ayiGSpeTUjAiIgAjklkBcFlJRL48ePN0cddZR9bdiwofULzelI1bgIiIAIFAiBO++80/Tq1ctQWY6KKzfddJNZtWqV2XnnnQtkhBqGCIhAoRPwfQqe5KyjR482/fv3Nx07djQDBgwwM2bMsBbRQoet8YmACIhApgTIHNKzZ0/z119/WQWUwh3kHLzwwgszbVr7i4AIiIBvBHy3gG699dZm1KhRZvvtt7eD/O233wzBSCimEhEQARHwiwD5iJ966imbiaNbt26hsR5+9tlntlgHFVacoIx+9NFH7qNeRUAERCDwBHxXQCHilE8umoMHDzatWrUyVatWjcAiL+jJJ58c+bz//vurFnyEht6IgAhkSoCH4Pbt2xvSwvFQfM8991gFbt9998206ZzvX7NmTVtf2nsgxrHddtt5F+m9CIiACASaQF4UUIgwbcQ0PD5M+DJ5BQUVp3onK1ascG/1KgIiIAIZEfj++++t8kkjXH/++OMP294555xjPv3004za9mNnHsjbtWtnU9lxPBRo/l5//XU/Dq9jiIAIiEBWCORFAf3111/NDTfcYHiS7969u714ekez7bbbmrPPPjuySLXgIyj0RgREIEMCK1eutDMua9asiWopTA+6Dz74oGnevLkZN26cnY7v27ev2W233aLGow8iIAIiEGQCeVFA+/TpYxo0aGA6d+6cNzavvvqqueCCCwx+VESRLl682Oy66655648OLAIi4A+BeFPYHHnjxo3+dCBLRzn//PMNfxIREAERCCMB36PgFy1aZHD+f+aZZ2waJlIx8eenA/3nn39ujjvuOPPtt99aVwCCoBo1amRr0ofxJKrPIiACqRMgVdF9990X2YEI8nLlytm8xJGFMW9wGULZwz3o73//u7njjjtittBHERABERCBdAj4bgFF0Zs9e3Y6fcxoWyyd3DjWrl1rI+2JIO3Ro0dUm84PjMCE66+/PmqdPoiACBQegUsuucTOwjz22GMGl5/rrrsuaaBjnTp1zOrVq23qI2jccsstVmnV9aLwvhsakQiIgD8EfFdA/RnW/x0FZRNLp1eIcj3wwAO9i+x7AhHCNgVXahBaIAIikDKBI444wvC3Jfnwww+tqw5ZO5xs2LDB3HbbbXpgdUD0KgIiIAJpEvB9Cj7N/mW0eWx0PY2haNaqVatUuyifbdu2LbVcC0RABIqbANeGChUqlIKA645EBERABESgbATyqoByAZ8zZ07Zep7CXvhtxQoJ7yn9SSURZKeddrJ/06dPN/Xr14/dXJ9FQASKnECTJk3MDjvsEEWBwMWDDjooapk+iIAIFB8BXPhw38Ov/M033yw+ABmMOG9T8FRAInUIAQCkE8mFUOrzxRdfjGp606ZN5swzz7TK5hVXXGH9uurWrWtTmURtqA8iIAIiUEKAAKW33nrL1KhRw1SuXNkyOeSQQ8zkyZPFRwREoMgJcF0gtSS6BXoNxq3bb7+9yKmkNvy8WECXLl1qE0H//PPPqfWyjFuddtppNliA3am0VKVKFeO1dDIVf8ABB+RE+XzjjTfMnnvuaW9YTZs2tV/QMg5Du4mACOSZQPXq1a2P+CuvvGJmzZplpk2bZrbZJm/P73mmocOLgAhA4MYbb7RGLHQZlE9k4MCBOZ3ZtQcpkH95uYLytIB/JiU3p06dWgolDv7jx4+PLCdd0l577RX5nM6b3r17m4svvtiQdHr33XePWDDSaSPdbVGwjznmmEjE7MKFC23ELemfiLiViIAIhI8A6ZfiBTCGbyTqsQiIAATQLdBD0A0qVaqUNhQeSJmCj5V58+blbGY39lhh/pwXC+g+++xjktVcRkEdMWJE5G/58uUZMSbBPH5cbvoso8ZS2JkUL96IWQKfeEJ68sknU9hbm4iACIiACIiACOSSwN13321d8Vq2bGl9vMtSypbqY5TB9QpxJsy4SrZMIGUFdP369VtuLUtbEBjENJf7SyVVSpYOnZVm1q1bV6odlNBffvml1HItEAEREAEREAER8I8AM6+UAycQGgsocvTRRxtmKdOR+++/3+YXJ5YFITixYsWK5sILL0zYzPfff286depkWrdubSipW8yS8hQ8EeJULGrfvr058cQTS2n9+YaI1ZTk0F988YU59NBDTdeuXfPWJRLfU9mJJyEnKJ+tWrVyH/UqAiIgAiIgAiKQBwIojrGC8vjCCy+Y7t27x65K+Jmpe4rcUNab6fxjjz02EncSbyf0FPZBNyBoadKkSebZZ581M2fOjLd5IJbhTpBMCOKmulxZJGUFFEikGjjvvPPMdtttZ6sLoYw2bty4LMfN6j5YFymRh38ljsDPPfecGTp0qFm2bFlWj5NqY1RHefnll23AE9Zc+vfUU09ZP9BU29B2IiACIiACIiAC2ScQLxaDqXT8vNMVUrShSKYi//rXv6w+gE7g5N133zVTpkwxp5xyiluU8SsWXmatDz/8cKvwZtJgt27drGUYIySKMwV+dtllF0NgJkIVubL2PWUF9MgjjzT88eQwceJE689IBDm+nCiiWP1ic+VlMuh09iUSjYhUF4WGUzBm7kceecRceuml6TSVtW1RQN977z0b/IT/KakaJCIgAiIgAiIgAvklwPQ7Sh9WSCcEP6PL5FJWrFhhFVDvMYgX+eabb2ycCLlE0V2o4NimTRvvZim9R/dBT/vkk0/MVlttZa2zKKMnnXRSSvvH2whlGVboewgKKBZf0tDFU+TjtZFoWco+oK6B8uXLm3PPPdfcfPPNVrn74IMPbG31mjVrGjRl7wl1+yR6xfkXR+BMhWl37xMF7THlvXLlykybzmh/ThjuCqkon59++qn1QWnUqJG55pprMjqudhYBERABERABEYhPADc9l4EHJYrA6P/85z85D1Ru1qxZKSsrusoee+xhateubfWhYcOG2aqMl112WfzOJ1naoUMHa/giDgXXAIQKj19++WWSvRKvwj8WBdkpn2yJJZQpd5TpTCUtBRRFj+TxpETCtEt0+tNPP21++uknQ95L/CdY77fst99+Nll07HEbNGgQuyiQn1etWmUtyTBcvHixefjhh+0Jj5feIZADUKdEQAREQAREIEQEsDJyj8Xy+fHHH1slMNfdHzx4sDXS4W+KUOSCrDkPPfSQDYiiL05w25s9e7b7mNLrjBkzIjPBbgcUbAK6yyK4EGJ0JLH+kiVLrNKJfoKyXqdOnbI0GbVPygooeS1RPMeNG2eoMPTVV19ZE+wZZ5xhI7/QkDEZY/pNRcjLyTQ1g8pUyCmKlu78NwBGpRL8VcMgVGbih+AUTlwJUPa9uVDDMA71UQQKgQCzOO+//75ZtGhRIQxHYxABEQgIASLkub7069fPBkqjT+EqyLR2vNlj9IB0BIUxVlBqy5Lj1LUzZswYq5vgnnDYYYdZF0yWoTxnKtuk2sD+++9v7rjjDqvYJdqnS5cuNkAp0Xq3nIs7U/gnnHCCwdzMwMri7+Da42mCuu88XWCVpa/J0iC4/YLyis+HUz5dn1CoXXoIt0yvIiACuSWwevVq60PFAzK5e3GfITWLs1jk9uhqXQREoNAJEK9C3IpXmILHeOfNnEOKKPKMpiMPPPCAwbXRtcOxUBT/+c9/ptNM1La4V2Lkc4Y+l3IqaqMyfkjZAnrvvfcmVT45PqUt42ngsX0bNGiQufXWW83VV19tp5sfe+wxW+Yudrt0PuNwe+211xraDpPyyRhxEI69wfHlw09FIgIi4A8BLBBEd2KN+PHHH61FAj/yfAUy+jNqHUUERCDfBIYPH26VRjeLiz5A/Mjxxx9vZ4rxD8V6inHNBVvH6zM50wl+Znqch2eqQGLgypZkU/mkTykroNkaAMFCXNSJDEe44JPW6euvv87WIULXzl133WX9LPjSVahQwSqjPMlQQ14iAiLgDwH8wGIzeTATQVo3iQiIQHEQmDNnjtlzzz3ttQDLJDEuuRaCeghGIvAIlzwU0mnTphmCvE899VQbRIRRCispulO86XrXR2JiSEFJZD2+pbHGLbddEF5TnoLPVmeZ4iJnJxZLJ1z0sTiQ0BRh6plIeycNGzYscy1410aQX/mCELFGQBevWD6lfAb5jKlvhUiA36H3uuTGuHHjRvdWryIgAgVMABc+b+VFlD6ivgm6ycSPMhVkGOLIX+4V3BO9GX5QPLFoTpgwwZx99tneTUP53ncFlGSvzj/BEQOwN58UQUReuPhjBUHeeecdgwJN7lOqGWRbvEp3tttWeyIgAskJkIrlwAMPtBGjTunkWpTPqmrJe6y1IiAC2STQuXPnqOaYAWHK+4knnjCx66I2zNEHb1S8OwR9QjEuBPF9Ch4fUUzNBA05wfq56667uo92Sp5Ie/eH/0O+hUT7pG3Av5T+EAUmEQERKCwC5AakuhvO+8zM9O7dO2lpPUa/dOlSg8vMo48+mrEve2HR1GhEIFwECDyMFayOlNDE6li1alVrLMNgxhR3roXKSRjtvEKFI3SRQhDfFVAu7KRIcqWryE+144472r+gAh0yZIhVODnxKMsIiij13iUiIAKFQ4AggAULFlgfK9xh/v3vfycd3CuvvGLq1atnqKxCECQRp9mescEa++GHH9rUbEk7o5UiIAIZEaDCT6wbDsYyfuMkdMc9kM/88aCaa/9QsgWhLyFVqlSxifLJDZqLGdiMwJVxZ98VUPp55ZVX2hyXaPckNe3Zs2cZu+/PbiSEjRX8xchjKhEBEShOAiiapJJDmNVhWowo0XPOOSdrQKhggg/a0Ucfbf3gXfLsrB1ADYmACEQIkPGC2U6E2VqMYy+++KLN1RnZ6P+/wXXwmWeeiV2c1c8owwRFzZs3z4wdO9amhPP6qGb1YHlozHcfUMbIFDYnDgtD5cqV8zDs5IfE0knfiEzD1M6XMFa40eA0LBEBEShOAgsXLrQ3KW++Xvyz3n777awAYdov1v1o5syZNh8flUkkIiAC2SeAvyczGlQopDQ26Yyo0R4rxLI4X/HYddn+fPDBB2e7yUC0lxcLqBt5EJVP0h/gj0oqAwIQSINAmiSvHwbvuTngo4pwI3rttdeymm/LMdKrCIhAMAlUq1Yt7g0IJTQb8uabb5Z6QKdgxciRI7PRvNoQARFIQIDpdao/onwi8eqyEyCUSQGdBIcuqsV5VUCDRpoL/hVXXGGn07CAIs2aNbMWUHywqlevbi0erVq1sr6gTMPjTkB5qrPOOstaTKdMmZLVYRGBR4WnPn36GKwfEhEQgWAQ2HvvvW25X28GD3xIqcecDcFfPl7i52wpuNnoo9oQgWIgQFlv5yrI1DwPn3PnzrXFd4ph/LkaY16m4N1g8JlCsWvevLlblNfXu+++u9TxsYJOnDjRXHXVVebbb7+NWv/ggw8a/rxC0ljq2+O3langY4Lz87p16wxPW/379zc33XSTfc20be0vAsVCgCny6dOnG5RDStLx4JgtIdEzOXup50yewNtuu80cfvjhWWm+RYsW1gKDS5DLBcj16JZbbslK+2pEBEQgdQK4vWBwcjnLqUwkyYxA3hRQLHt9+/a1T/hBUUBjo98c2kTL402F4Rf60ksvZUUBxRmaQAevn8mAAQPMaaedZg466CDXPb2KgAgkILBo0SKrIPK7xGeLNCskciadSraEWRP+si24+syfP9/6gRJtyxh4CHWuP9k+ntoTARFIToDa7OnWZ0/eYnGvzcsUPHnz2pdk+I+Xcyufp4Pa9KRR8QqWR29SfO+6eJURUFa9U3Le7dN9j3XYq3yyP1NylAyUiIAIJCeAnzbT5PyGcKnhesPv5/TTT0++Y4DWonSiMGMBxRJKqieJCIiACFC+vEOHDubkk0+22YTCSCQvFlBuDL169bI5tUj8HCtYR70pjr777jtfSnGS4mTEiBE2xyfmdawkkydPTmgtYbrt9ddfj0yPcXMjHQvKdTakVq1a5rPPPjNeny9uoviiSkRABJIT4LdDBgtvrj5+S1gVJSIgAiIQVgK4FVGnnlkd/ph15Y9k+WGSvFhAKXlHOctEgm8o/hbujxuJX0IiWpRIrLSLFy+2FpRExyY1AklhqW3PHz5bWCtiraiJ9t/ScpRhbpguAh/fNerE88QjEQERSE6ASkaxMwjsQWUTiQiIgAiElQC+7MyKoHw6efXVVw1/YZKcW0CXLVtmrYhAYcr6oosu2iIfLI9vvPFGZLvx48dH3vvxhmkv/lIRFMJc1WUlByBTh/iXUYMe389rrrkmlW5pGxEoegJ169a1sxGPPfaYDeIDCA+HPNhJREAERCCsBIgN8c6MMg7c//woD5pNZjlXQIk8xRKBVKhQIeW+e/0o46UiSbmhkG8IOyogSERABNInMHToUFu27vHHH7d5fUln1rp16/QbKsMeBEAxLUbk+sUXXxyZGXn22Wftbxo3n3vuucfssssuZWhdu4iACBQrAdJDMkvrsmPAAR9xfN7DJDlXQIkYo266RAREQATyQaBHjx6GPz9l0qRJVtFF+cQyQfoWZjFwKxo0aJDtCg/Wo0ePNh999JF1ScJdAHcjHtTr1KnjZ3d1LBEQgRARoGAO1SSZ0eG6gZte165dzQEHHBCiURiTcwU0VDR86Cymc3J5Elh14oknmssvv9yHo+oQIiACfhGghJ+zspJFA0HZxIWGms5O3BQa6dYIxsSHnByDBE0de+yx5pVXXrHKq9teryIgAiIAAapIoniSlpFrBgHUxx9/fOjg5FUBbdmypeGvWISb0e67727N5gRCvPDCCwb/1mxVTikWjhqnCASZwCeffBK3Rjxp1fBv5yHUKytXriyVW5CqZ1ReufPOO72b6r0IiIAIWAK4N1KzPsySlyj4MAPLpO/t2rWzEbjeKFxSwmS7fGcmfdS+IiACmRHApzNe9D1T8d7fPkdhGdktsGh4RTXfvTT0XgREoBAJSAH18awuX748ymmYQzMNR0JZiQiIQGEQIM0c0+peoa47mT0GDhxoF6N44r9F+jbKebpUa959vClWvMv1XgREQAQKgUDepuDxc3rvvfdM48aNbb3jQoC5pTFQM5rpOa8VhJyjDRo02NKuWi8CIhAiAsOGDTNNmjQxTzzxhCHaneAjAgQooVu/fn0zceJEq3x27tzZWj9r1qxp1q1bF3lAJXjp5ptvDtGI1VUREAERSI9AXhRQLr74Ph511FH2tWHDhkVRYo7oV9LBMOXGFB0WkHPPPdcGH6R32rS1CIhA0AkQYBgvyLB58+aGP6+8/fbbhspnKKGkoEP5pDSwRAREQAQKlYDvCijTSqQeIf8diaLxi6TWOgnqKZtXyEIifqyf9957ryFSlgAsFy1byOPW2ERABJIToPAF5fWc7ygPqRIREAERKGQCviug+DqNGjXKTj8BlrrvVBLy+jsxPd+xY8cIdywDe+21V+RzmN/gC3bjjTeGeQjquwiIQI4ISPHMEVg1KwIiEDgCviugEMDxHiEAZ/DgwaZVq1Y2PYldWPKP9AKUuHTicum5z3oVAREQAREQAREQAREIL4GcK6CJasH//vvvpn///oZ0I7169YoiSCWQbt26RZapFGUEhd6IgAiIgAiIgAiIQOgJ5FwBjVcL/tdff7UJVIn87N69e9wUJLFkSdbsasrHrtNnESgWAs5HMNF4qQ1MOUeJCBQzgS+//HKLw8fVS7+VLWLSBgVOYO3atXkb4VYlFsjNfh8dpbN27dqGFCSpCBVE5syZk8qm2kYECpoAKX0uuOCChGMcN25cqUo7CTfWChEoYAKkvOIvnnDT1cxaPDJaVowECAJ3rpF+jt93BXTRokXmsssus2MkGbOToUOH2rx57rNeRUAEREAEREAEREAECpOA7wpoYWLUqERABERABERABERABFIloFKcqZLSdiIgAiIgAiIgAiIgAlkhIAU0KxjViAiIgAiIgAiIgAiIQKoEpICmSkrbiYAIiIAIiIAIiIAIZIWAFNCsYFQjIiACIiACIiACIiACqRLIeR7QVDuSbDtKdZKzTSICxU6AUq41atRIiGHVqlWReuIJN9IKESgCAuSNrlSpUtyRki/322+/jbtOC0Wg2AjsuuuuKeVjzzaXUETBk6/tk08+MdWrV8/2+NWeCISKwDvvvGNGjx6dsM+XXHKJ2W+//RKu1woRKAYCP/zwg6HQiUv5FzvmpUuXmltvvdU0bdo0dpU+i0BREeCecu+995pddtnF93HnzQK6evVqs2DBAtOgQQNTt27dLQ68TZs2CZMKb3FnbSACBULg6quvTjoSkgl36dIl6TZaKQKFToB807Nnz046zAMPPNBceeWVSbfRShEodAIon/mSvPiATp482ZbgpLxm7969zZQpU/I1fh1XBERABERABERABETAZwK+W0Cp/Dl9+nTTr18/U6dOHTtdeP/995tTTjnF56HrcCIgAiIgAiIgAiIgAvkg4LsCSvnNIUOG2LFu2rTJ1nhHEfUKSupvv/0WWfTnn39G3uuNCIiACIiACIiACIhAuAn4roA6XOvXrzft2rUzGzZsMCNGjHCL7SsO5F6LaLNmzUzDhg2jttEHERABERABERABERCBcBLImwJKeoxJkyaZWbNmmU6dOpmJEyea8uXLW4oVKlQwN910U4ToZ599FnmvNyIgAiIgAiIgAiIgAuEm4HsQ0saNG83cuXMtNabjW7RoYSpXrmwWLlwYIbntttuaU089NfKn9EsRNHojAiIgAiIgAiIgAqEn4LsC+ve//90MHz7czJ8/38JbsmSJYcq9du3aoYepAYiACIiACIiACIiACGyZgO9T8Fg9r732WquEPvzww6ZcuXI2Ir5atWpb7q22EAEREAEREAEREAERCD0B3xVQiFF9AisoJTbx95SIgAiIgAiIgAiIgAgUDwHfp+C9aKV8emnovQiIgAiIgAiIgAgUB4G8WECLA61GKQIiIAIiIAIiIALZIUC2oJ9++sk0b97c7LXXXtlpNI+t5E0BBeJ7771nGjdubGrUqJFHBDq0CIiACIiACIiACASXwCGHHGII2qZQD3nUx44da84777zgdjiFnuVlCh4tvkuXLmbZsmU2AGnQoEEpdFWbiIAIiIAIiIAIiEBxEejYsaP56KOPzLp166zyyeg7dOhgwp4j3XcFlLKao0ePNv379zdAHTBggJkxY4Y1KxfXV0qjFQEREAEREAEREIHkBGbOnBlVnpytySA0e/bs5DsGfK3vU/Bbb721GTVqlNl+++0tGmq+Ew3vrff+66+/WiXVsfvxxx8Lwt/BjUevIiACIiACIiACIpAKAdJULl26NGpTdKcdd9wxalnYPviugALIKZ9//fWXGTx4sGnVqpWpWrVqhB1gJ0yYEPlcv379yHu9EQEREAEREAEREIFiIfDAAw+Ygw8+2KAzIRT0QY9q27ZtqBHkRQGF2O+//26n4XGo7dWrVxTEKlWqmGnTpkWW4WwrEQEREAEREAEREIFiI3DAAQdYf08Uzp9//tmWKb/33ntDjyEvCihT7DfccIOpWbOm6d69u2FaXiICIiACIiACIiACIlCaQL169cyHH35YekWIl+RFAe3Tp49p0KCB6dy5c4jRqesiIAIiIAIiIAIiIAJlIeC7Arpo0SIzd+5c+zdu3LhIn4cOHWqaNGkS+aw3IiACIiACIiACIiAChUnAdwW0UaNGoU8dUJhfBY1KBERABERABERABPwh4HseUH+GpaOIgAiIgAiIgAiIgAgElUBeFVDyf86ZMyeobNQvERABERABERABERCBHBDwfQrejYFcn3379jV/+9vfTPPmzd1ivYqACIiACIiACIhAYAlgPCMdEvnLyckpKRuBvFhAyejfvn17ewLL1m3tJQIiIAIiIAIiIAL+EnjwwQdN9erVTcOGDc0//vEPs2TJEn87UEBHy4sCSh5Qks+fd955BYRSQxEBERABERABEShUAtRev/LKK80vv/xi1q9fb4eJIrpq1apCHXJOx5UXBXSfffYx++67b8KB/fDDD3Zanql5/t58882E22qFCIiACASZADenMWPGmIkTJxoqv0lEQATCSeC2224r1XFKYvLblqRPIG8+oMm6ut1229mnDLfN119/7d7qVQREQARCQ2D+/PmmZcuWply5cmbTpk3WcoLvGFN3nTp1MhMmTLD1nR9++GFz7rnnhmZc6qgIFCOBrbbaKu6wEy2Pu7EWRggEUgEtX768adeuXaSTqgUfQaE3IiACISHw008/mUMOOcT2dsOGDfaVssMXXHCBeeuttwwzPX/++addjk88773XvZAMU90UgaIhcPXVV5tp06ZFjZfp+DPW9S/ZAAAff0lEQVTOOCNqmT6kRiAvU/CpdU1biYAIiEAwCWzcuNHwl0wWLFhgqlSpErUJSiY3sLVr10aUTzb4/fffzY033hi1rT6IgAgEi8DJJ59shg0bZju1ww47mNq1a5uFCxeW+p0Hq9eZ94br1dNPP23H/vbbb2fe4P9vQQpo1lCqIREQgUIngLXjlFNOMZUqVbLT6tdcc03CIbPNH3/8UWo9fqAVKlQotRyLqUQERCDYBK644gobgPTpp5+azz77zOy9997B7nCGvRswYIA54ogjzIwZM8xHH31kLr74YhPPF7Ysh8nrFDy+UfxJREAERCAMBHbccUdrufzrr79sd0eMGGGqVatmevfuXar7Bx10kDnuuOPM1KlTDXmPEXIGPvXUU+byyy+P2h4fUTddH7VCH0RABHJKAOvezTffbJYvX25atGhhunbtusXjVaxY0fBX6MIszwMPPGDeeeediJWXLEYHHHCA4eE73oN0OkwKzgIKsLvvvtsGMT322GPpsIjallylJ5xwgiFi/5JLLrGBAlEb6IMIiEBREfjwww9t8JBTPhk8vp2DBg1KyOG5556z14/dd9/dNG7c2Lz44oumTZs2kcweKLSVK1c2hx9+uJk+fXrCdrRCBEQg+wTQF/gNPvTQQ/a32a1bN5vfM/tHCmeL8MHNwOtKRJB4o0aNTDZmbPJqAc32KeHGgCUBQGjpCElj0d7TEcDWq1fPVmmizS+++MK8/vrrZvHixb5UPcBagq8YwVhUipKIgAjknwBR7Ntuu62NZPf2xgUYeZd53w8dOtTw55W99trLTuPNmzfP/s5VDc5LR+9FwB8CV111ldlmm22i/LnJujN69GgbLOhPL4J7FCyctWrVMijmN910k8Hv9b777rPXLpZnKnnTbtasWWNefvnlrFYR6NOnj/0yOeUTOIsWLbJTXumAwscBxc9ZOggQ+P77700mFtVUj8+TGOW9dtppJ0PE7OrVq1PdVduJgAjkkMB+++1np9u9h0AhZZq9LMIUHvtK+SwLPe0jApkTWLZsWSk/bR4ov/3228wb97EFAh5fffVV8+OPP2b9qOgke+yxR8Soh0X0+eefz8px8qKAvv/++6ZDhw7WgbdHjx42F142RsMUWazTP0EDOAqnIySOdsqn2w8llLQp2ZQvv/zSfPDBB5ETyxcIvwr6zPHILUbCfldxIZvHVlsiIALpEcB/c86cOXYnlEesA6effnrWrl/p9UZbi4AIZEoAX0ZmTb3C7CPVjcIi5A8++uijzdlnn20NV3Pnzs1q13nIpvpTjRo1bLtnnnmmDcLMxkHyooDiM3XrrbcacmqRgBnLIr4GmQpfmtgvE5bMunXrptU0Ua4kivYK/TvqqKO8izJ6j0kbP4pjjz3WUEkBRfTf//63VTxdw0TLctwpU6a4RXoVARHIIwF8obhBvfvuuzb9CgFFcpPJ4wnRoUUgAwL9+/e391geLhHc3rj///Of/8ygVf92ve6662wVJoxUzvpJINV3333nXycyOJLvCigWypUrV5omTZrYbu+yyy7WZ9Nb7QgfSC7s7s+7LtlY+/btaxU475cJ0/GFF16YbDdDZRKOgdUR6dmzp6lTp461QGLl4EvZr18/m4ogaUMprnz00UdtPi1cBdyXZv/997cBDbFNYImNterGbqPPIiAC/hFA4axfv74hsEgiAiIQXgIYrHigvOuuuwyzsaNGjTKTJ0/O+4AISCTv5ooVK5L2hUpqLsOG25AYmFdeecV9DPSr70FI+DRi8fOWrsKxFUXMWSqZgh4yZEgEXNOmTU3Lli0jnxO9ATzKGsoivh0HH3yw6dy5c6LN7XKsr0x742+5bt06g3sAx1uyZIl54YUXrA8myuGBBx6YtJ10VpLINjZwgSk9jvPxxx9HNcWTzamnnhq1TB9EQAREQAREQAQyJ4AugiUxVjAQoZhiMGP286KLLordJCef8QtnhoUHXQKin332WcO0dzxBd4oVgiXRhcIgviugKHo8cXgFpRE/AycE4Hiz7adTipP2MaunIhyDFEteadasmfnqq6/MbrvtZv27vOuy9d47Vtcm0+1Mx5MSAhcFUrOglPIkxDKJCIiACIiACIhA7gmgk2AoY/YTYxGGKiLjScaeS0ERxs/ca9X817/+ZQiAJHNGrNxzzz3WQIXSiaD/YMAj1VsYxPcpeJRLF2TjAGH93HXXXd1H317JFxorfOGyFeEV27b7TNJbr48pT2C4AfCUM3DgQBuBhyMxwVNhcoZ249OrCASRAA95n3/++RantYLYd/VJBETAPwLXX3+9zajjnamcP3++nRVNtxdjxoyxBiWm+9EvCHJ2QhlPUjw6V7yXXnopSvlkOwxWr732mtsl6pVc5bgM0C4KM/6rzJpiPUWnoGIRrgW5VpyjOpXGB98VUHJuUfFj0qRJtpuzZs2yFr58WPm8bgCOGTepeMvd+rK8Eu3O1P5///tfu/uJJ55on6b4gCLK9P4333xjv0Qsq169umnQoEGUVZjlEhEQgbIRoNoJLi645ey55562fJ6zGpStRe0lAiJQqAQ++eSTUrEXWCUpUJOOkIOctI649xFQTJyJy2zD7Othhx1mDU8Y5tCFmPmMFa5TlPVNJCihuAugX0ycONHOnPKZdEkooPfee685/vjjU54ZTnScXCz3XQFlEIT0jx8/3mBaJgqeoJ9cC1HmnHhybPLKFyKefyhfMtIaZEtuuOEGe7PDr4MpdZcUn5QJKLt8IXmycikOsnVctSMCIvB/BPid8YBLmjYUUabX8PHu2LGj3QBLwbRp08zMmTPtb1LcREAEipsAM4/eWUpooAgSnJyOUNbTm+HH3fO59uBayLXHpXcklRIlfZlGd0JANcc955xz3KKUXk877TTbNhZcjokwXc81MEiSFwUUzfyZZ56xkeBPPvmkjSjNJRSSyuLbyVMNJ5vk9ETHY3l84okn7KF5wiCq9aOPPiqVbLqsfcNn5P7777cuB87EjgUm1aj+sh5X+4mACPyPAMomD3/uQswaskvg3L+8pP4z14J27dqZ1q1b26krN1Pxvxb0TgREoJgIEHyE4ugy6jANjrWybdu2aWFwmXW8O3HtifXzZD1T6MyEooOg6GKUwkiHkprurCzXNR60vcLsM7pPkCQvCqgDEM/c7NZl85V8o94TSBAUls4RI0bYclvccPAN4w/raLaE8nteHxLa5UaovJ7ZIqx2RGDLBLjw8hcr3BzIvEFVNh4QuQ5gfcjmDEjsMfVZBEQg+AS4T6OA4j9JGkcMSW+99VbaHe/UqVOpfbjO4GYXKyimKLp77723zeKDMjpy5MiIa17s9sk+Y0zz6jxsy+xPzZo1k+3m+7rSV2Xfu5D7AwLea/3giHy5nKWDJw/+si04BscK/XBPVbHr9FkERCD7BPD5xP8THyvn98lvE19sAgC4Pjjh4TSoDvuuj3oVARHIPQHu0xTMyUTw/2Tam7SSFLGgTQKNCBTCL9NdjwgaIjj7vPPOy+RwkX2J2mdmhwdqrmk8gJPO8cgjj4xsE4Q3ebWAogC60na5hMH0GifYK5inTzrpJO+ilN5jHj/ooINMrVq17P5e/47YBvDn8PqR8ETCmNP154htV59FQATSIzB16lTrlM8FmRx5+H/fcccdpVLC0aqbNsP6QP6/Vq1aWZ/R9I6orUVABETAmMGDB9vUjkSy/+c//7HugFQrevnll61+wPUI/0/cA7NlnGJmhxyiF1xwgcEflFgbktYHTfJmAWUKvG/fvlYxbN68eU65UHceqwZOv0Sb8dTBEwn+mOkI6RPIx+WEpPrk5iJdUmwJULYh8IhqBviNoIhS/YkotbIkieVmeO2119poN8z0VEjIR+YAN3a9ikCYCPD7w8XGWRzchZ60JRSc4HqE8NsiavSqq66yPupujAQlkJMXq4VEBERABGIJENvBPZrE9cyuoN84Ia84f15B6XQPu97l2XqPi+Pjjz+ereZy0k5eFFBSGVD3nCz+8TL552Kk5OKi/jpKJDcTnHzTlfbt21u/Cjedj/WTpwyUw3i+HrRPQli3fbrHc9sTnUv7ztqKSR1lluCKsiizrl29ikCxEXCKpxs3D6VMk5EWjkBEcvRinYiXIYNKKPhlSURABETAS4BAIRRMN+VNHm8CrL/44gvvZnofQyAvCig5qnr16mVNzkyNxQoBAeeff35kMT5c8aoARDZI8Q2R8JkIJvJYZRKLCimdcimxqRxwVsZfhAS0pHOSiIAIlI0AbjGxVgJuHsyUuPQormUeNiUiIAIiEEsAfQU3P4xDTpghZQZUQY2OSOnXaMfI0utzsmSfffZJGm3OdDZ+C+4vXsRYTjq2hUapVBRrQWHqjqn2XIqbNvQeAyU03nLvNnovAiKQPgEedmMfNFFUcxGomH7vovfA8nLyySfbSNl4ynT01vokAiKQCwJMv3NP9gpxJt999513kd7HEMi5BXTZsmXWUsdxmeJiGmtLwoX+iiuuiGyWTi34yE45eENKhueee84mjse/Av8NHIyJsM2lXHbZZeaaa66JOgRWV4IjJCIgAtklgPWTHKHHHnus9QklgpQHz6Dl0ENJ5prqpv2gwHWTB3jyB0pEQAT8IUCw4scffxxxk+OopGAk17gkMYGcW0C5cDtfT3JrhV3mzZtnA5qGDRtmqK7kqqnkclxdunSJKO4EHpGglqT63CglIiAC2SdwzDHH2KCl22+/3ZCUmgfpatWqZf9AcVqkcAZTd7jYOMHlBn9yfL5ROEeNGmWDoipUqBA17cdDcZ8+fdxuehUBEfCBwJ133mnjQwh2ROfhIZB68kcccYQPRw/vIXJuAcUxl0SuhSRYRvwWAp369etng57q16+v4CO/T4COV3QE8D2/7rrrfB03aemItOcGhjLpfMxRNL2WToISKWnsTfPmOsq0vEQERMA/AvwOXXEbCltQNally5b+dSCkR8q5AhpSLml3GwsFlhKsF0TReoOo0m4swQ6UMOVPIgIiUHgEuHE5i4mroMb0P77wWD4J3nSCcoo7kDfogXWkkTr99NPdZnoVARHwkYAfM6I+Difnh8qrAsoTQiE8JWClwELBxZ+noEceecT6kJHzUyICIiACqRCYP3++rZZCFhAnBDKwnGuLVwFlPUUt3n33XZshBNcctqXayfDhw93uehUBERCBwBLIqwIaWCppdoyk1VgqXDJrdid3JyW3ylJtKc3Da3MREIECIEBAUaxFk2HhUxYblY9CSvQ7bgLMvlChjf2pIy0RAREQgTAQyHkQUiII5NSjOhFT1mEXot+wPniFz5TdkoiACIhAKgSYfj/00EOttdNtj/JJpSasoAiWThRNlM8nnnjCLmN6nv2kfFoc+icCIhASAnmxgDI1PX78eFtnmVcqE1HCKqxC/997772ovJxYQ+WvGdYzqn6LQPoEyAO4fPlyq0Duuuuu6TdQsgezJpdeeqmZNm2anY4fMGCAvU7SGJbO999/35BNhEpoEhEQAREIMwHfFVCmmEaPHm3uueceU7duXdOuXTtbzYf8oGGtbT5w4EBDlDrWCvxBiWAlCo7gAYkIiEDhE6BqEqmbVqxYYSujEcmOEkl1lHSEZPKPPvpo3F2wdDZv3jzuOi0UAREQgbAR8F0BdTnsXFURLIU403t9n1iGD6UT6rdnoxSnay/bry4pPeVFcSk4+uijzSWXXJLtw6g9ERCBABLg2lW1atWonr3yyivmhhtusA/aUSv0QQREQAREwBLwXQHlqE75ZMqKSkJU9PFewFFIyXnphBruLj2JWxa0V/KAYdWViIAIFBcB3G94CF27dm3UwJkV0TUhCok+iIAIiECEQM4V0ESlOMlj179/fxvdieXQK1T4efXVVyOLnn/++ch7vREBERCBIBEgAwYzO7GycePG2EX6LAIiIAIi8P8J5FwBxS+SUpwIuTIR8tkxPVWzZk3TvXv3Uhdv/KDctmzPBV4iAiIgAkEk0LRpU1OnTh1rAXWuROXLl7d12YPYX/VJBERABIJAIOeaXbxSnNQqbtCggencuXPKDEiuTH1kiQgUM4Hvv/8+6fApw9i1a9ek22hl9gngIkSUOm5FBB4RYElAos5F9lmn0iJuXAcccEDSTZllU6q8pIi0sggI8Bu44IIL8jLSrUoSHG/288iLFi0yl112mT0klk4nQ4cOTZpaJF43582bZ2s1P/PMM6ZWrVquqdC9Tpo0ydx5551m1qxZobb2Pvzww+bFF1+0f6E7CZ4O43+8cuVKM2LECM/SYLz1/mYS9Sjeb6Vv3742QO6hhx5KtFsoll9++eVm5513tu47oehwgk5SLvOEE06w9dwTbBL4xXzPiMpnFqtNmzaB6++WfivxfidYsI888kjTo0ePUJc0/frrr81ZZ51l7rvvPpuRJXAnJ8UO4V999dVXm7Fjx9pZhhR3C9xmU6ZMMbfddpsNrqaIRNBkS7+VXPU35xbQ2I43atTIzJ49O3bxFj8nAoTFAUm0fosNB2ADLoSFMA7GwAU8zOeCr4M7H2EdR7x+F8q5YRycn3hjDMBPOeUuFMI43O8krOcj0XeoEM4NX0TGgSQap10Z8H/uO1Yo4+BchPl8ZPvrkl6SumwfXe2JgAiIgAiIgAiIgAgUHQHfLaDZJEy0/LHHHhtJ65TNtv1si2AsxhH2J6N69erZ6Ss/2eXiWI0bNzbVq1fPRdN5a3OfffYxZa3Ok7dOxznwgQceGAlqjLM6NIuYug5ybuNUQHK94rrF9atQBP/dQhgTQXCMw5veMIznqEqVKnYcLnVjGMdAn7n2cj7iZcsI65iy0W/ffUCz0Wm1IQIiIAIiIAIiIAIiEF4CmoIP77lTz0VABERABERABEQglARCPQW/ZMkSW3t5//33D9VUA+lZiO5jmqRJkyaRqfcvv/zSfPPNN5EvEi4GQZ6me//99w0FBZzUr1/fMGWChOHc0PcFCxa47kdeGQfsw3Y+IgOIecM43333Xfs9O+iggwy5ecMiP/30k/2t4BZRo0aNSLeTffciGwXkTbLvUVjODSWGly9fHkWUKfhDDz3ULgvT+YgaRMyHNWvW2O9bnZK8rqQKDJN88cUX5quvvrLnhHsLQjqqTz75JGoY7pxFLQzIh2Tfo7CcG3iTDs8ruEJwL092LfBuXyzvty5Jz9I3jIMdOHCgeeGFFwzVRh544AGbDsQlvA/yeL777jtz8cUXW2Vg4cKFhrQ4p556qk2/RMqMN998017oFy9ebP7444+kqanyOU76dtFFF5l169YZ+sofuQ932WUXE5ZzQ95GUi25/n/00Udm1KhR9ruED2iYzkei78KGDRtMhw4dbI7KOXPmmNdee82ceOKJkYeeRPsFYfnEiRPtOeB3/dRTTxlusNw8k333gtDv2D4k+h6F6dx88MEHhnRx7rcyc+ZMM2PGDHPeeeeF7nzEnh/3GeXn2muvtWVVuS6TLoesLWGQ66+/3j5ME/k+aNAgU7t2beuby2+ez6tXr46cu+OPPz6QQ0r2uw7TuXn22WcNKSLdb4XPZIc57LDDCuKektUvT0mag9BJSXnPzSV55zaXnFTb95Kb0+bbb789FOMYMmTI5kcffTTS15tuumlzSe5M+/ncc8/dvGLFisi6IL/5/PPPN5cooKW6GOZzM2zYsM233HJLZExhOh+RTse8efzxxzeXPBBElpbk4N389ttvRz4H9U3JzWjzGWecsXnp0qW2iyUPC5tPOeWUzT/++OPmRN+9oI4l0fcorOfmt99+29yuXbvNJQ/LFnnYzkei78mFF164uUTRtqtLDAWbSwwDm0ss1Ik2D8zyjz/+ePP5558f6U/Jw8Hm6667zn4uUaQ3jxw5MrIuyG+SfY/Cem5KrKGb27Ztu7nEUGPRJ7oWBPm85LJvofQBLbkpWcsgEYsIU/CffvppVhXzXDXWqVOnqKoDWBCxhFCetOTmaqh08+STT9pE6LnqQzbaLblYGKpcTZs2zWCpov9IWM8N1misgyUXbjuOsJ0P2+k4/7Aa8vtwEpbfCtGiWKOxqiMlSo+dTsSSkOi758YYpNdk36OwnpuSB2iz77772pkCWIfpfCT6bmB9o/gELlEIMznbbbedIaF70GXvvfc2FAFxwj2F3wvCuaGsNYnc33nnHZtD120XtNdE36Ownhvca0oMY7bseKVKlUJ3j/fj+xFKBRR/JO90Oyf3hx9+8INXxsf4xz/+EfHBYxqLi95JJ51kS8LxheUiwU2WqSCqJwRVPvvsM+vnia8L/p5nn322wUcnrOemxBplK4e4dB+UJwvT+Uj0PcHlg9+HkzD9Vty5YFpx8ODBplWrVtbXO9F3z40xSK/JvkdhPDcoN88//7xp3759BHOYzkek0zFvmKLm++ZNhcc9BqNA0AVDjPP5ZByjR482JRZD222Uurlz55py5cqZJ554wlatCup4En2PwnpucFHhO3TwwQdb5MmuBUE9J7nuVyiDkLCOoKQ54QnJ/QDdsqC/4k+FpXPAgAH2CRVfowkTJpgdd9zRdn3PPfc0jz32mCmZdgzkUDp27Gj4w0qAoKxhDd1mm21Cd25WrVpl8P/0ukOH7Xwk+pKE/bfC96p///7WctOrVy87zETfvZJpyEQY8rY82fcojOeG3zg3VCyETsJ0PlyfY19jzwXrua8EsWxibN/d5xL3J2ttw+fbBRpxD6lcubJBST3ttNNM69atrdGD2augSaLvET6r3vs9/Q7DueEef+aZZ0YwJ7sWRDYqsjehtIBWq1Yt6smUp1RvhGzQzyFPqOPGjTP333+/dRanv2vXrjVE/DrZfffdDYqRK6fmlgfllakplAMn9BfrZxjPDTfVY445xj4IuPGE7Xy4fse+En3pteLwPiwJ6Zm+7tatm6lYsaIp8c01zB4gib57sWMPwudk36MwnpupU6eWqpEepvOR6DtB1guCEr3XtDD9VhYtWmTdh6666iob1Mo4CdAtiSmwyief+f3w4IDlPYiS6HsUxnNDtDvjadmyZQR1smtBZKMiexNKBZRUMqQ6IOUET0IlQTwRM3fQzx8X8FdffdU8+OCDUVYEprbwP8QftMTp10yePNm0aNEicvEI2rhmzZplhg8fbruFooA7wdFHH23CeG64eOPT5pWwnQ9v373vjzzySPPSSy9ZnzBcJN566y3TrFkz7yaBfd+nTx+bCufGG2+MqiCS6LsXxIEk+x6F7dygnJGKiapaXgnT+fD22/uemZtDDjnERvqznDExG+VmpLzbBu09v+sePXoYfi/cM5yQbo0ZNqbgEa5zuKo1bdrUbRKo10TfozCeGyLgGzZsGHG3A3Sya0GgToSPnQltJSQUNCyI5J0k5cStt95qp399ZFemQ2GSx7Lp9TUqifY111xzjQ26wG8EpRpfPaw+O++8c5mOk+ud1q9fb+666y6bt5TAKaZJrr76aqswh+3ckErm5ptvLpVyhSCYsJyPROeb71K/fv3sAxvTcCVRmNbXNdH2QVnOzbIkYt92x/tbGTp0qCFHY6LvXlD67+1Hou9R2M4N/oQ9e/Y048eP9w7PJLsWRG0Y8A9YC1HkmI7nt8I1gZzAQZeS7B02TZn3d8J9kTSF5JsmQInc01yneZijDGwQJdn3KGznBub8vq+88soo1ImuBVEbFdGH0CqgnCN+VDyVE+VXKMKUO8mDvYEjQR4b1k8u2Di5e6VQzk3Yzof3HHjfEyyGnzTWhEKRRN+9II4v2feoUM5NmM5Hsu8IU6X4TRaSYH3jnuJVUoM6vmTfo0I4N8muBUE9J7nqV6gV0FxBUbsiIAIiIAIiIAIiIAK5IxBKH9Dc4VDLIiACIiACIiACIiACuSYgBTTXhNW+CIiACIiACIiACIhAFAEpoFE49EEEREAEREAEREAERCDXBKSA5pqw2hcBERABERABERABEYgiIAU0Coc+iIAIiIAIiIAIiIAI5JqAFNBcE1b7IiACIiACIiACIiACUQSkgEbh0AcREAEREAEREAEREIFcE5ACmmvCal8ERKDgCVDutFOnToayiE4GDhxoK7S5z3oVAREQARH4HwElov8fC70TAREQgTIRoHoZNbYPPvhgM3bsWPPiiy+atm3bmjfeeMMcfvjhZWpTO4mACIhAIRMonLp8hXyWNDYREIFAE6Ac8JgxY8wRRxxhjjvuOFtzu1+/flI+A33W1DkREIF8EpAFNJ/0dWwREIGCIoDS2bdvX3Psscea6dOnm7/9TV5OBXWCNRgREIGsEdDVMWso1ZAIiECxE6hcubJFsGnTpmJHofGLgAiIQFICUkCT4tFKERABEUiNwMKFC+3U+9ChQ82nn35q7r777tR21FYiIAIiUIQENAVfhCddQxYBEcgugY0bN9oApPr165tx48aZp556ylx00UVm3rx5plmzZtk9mFoTAREQgQIgIAW0AE6ihiACIpBfAj169DAjR440WEGrVatmO9OmTRuzZMkS895775ny5cvnt4M6ugiIgAgEjIAU0ICdEHVHBERABERABERABAqdgHxAC/0Ma3wiIAIiIAIiIAIiEDACUkADdkLUHREQAREQAREQAREodAJSQAv9DGt8IiACIiACIiACIhAwAlJAA3ZC1B0REAEREAEREAERKHQCUkAL/QxrfCIgAiIgAiIgAiIQMAJSQAN2QtQdERABERABERABESh0AlJAC/0Ma3wiIAIiIAIiIAIiEDACUkADdkLUHREQAREQAREQAREodAJSQAv9DGt8IiACIiACIiACIhAwAv8Pwr3nuOcEfAcAAAAASUVORK5CYII=" /><!-- --></p>
</div>
<div id="symmetric-axis-scale" class="section level2">
<h2>Symmetric axis scale</h2>
<p>The function <code>symmetric_range</code> helps align the 0 value of adjacent panels in facetted plots with asymmetric range of data in each group.</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1">df =<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">x =</span> <span class="kw">c</span>(<span class="dv">1</span>, <span class="dv">2</span>),</a>
<a class="sourceLine" id="cb10-2" data-line-number="2"> <span class="dt">y =</span> <span class="kw">c</span>(<span class="dv">5</span>, <span class="fl">0.2</span>),</a>
<a class="sourceLine" id="cb10-3" data-line-number="3"> <span class="dt">group =</span> <span class="kw">c</span>(<span class="dv">1</span>, <span class="dv">2</span>))</a>
<a class="sourceLine" id="cb10-4" data-line-number="4">p <-<span class="st"> </span><span class="kw">ggplot</span>(df, <span class="kw">aes</span>(<span class="dt">x =</span> x, <span class="dt">y =</span> y)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb10-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb10-6" data-line-number="6"><span class="st"> </span><span class="kw">facet_wrap</span>( <span class="op">~</span><span class="st"> </span>group, <span class="dt">scale =</span></a>
<a class="sourceLine" id="cb10-7" data-line-number="7"> <span class="st">"free"</span>)</a>
<a class="sourceLine" id="cb10-8" data-line-number="8">p <span class="op">+</span><span class="st"> </span><span class="kw">scale_y_continuous</span>(<span class="dt">limits =</span> symmetric_range)</a></code></pre></div>
<p><img 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FsIRLVzegRd0B6q25L6JOsGkSDpTNXVV18dfOQVgdgEtO+98cYb3eXuqqqq2ObLjBBIFShJXK5uTB3Qlu/Vd0INsILSsKRLxrqUpMslLSXfLsH37t3bqzupdXkluLOxJcu2GK/+Kj5cgg/WVXVRlwx8CkB9qkO6BD9gwAB3xcKXflgqM/2whS+X4FVe6uvY2tSadi7beavdVJckH1LQf9iX/nK6EtevXz+3rftyCV73RVRWVvpQXC4P8tF27ksA6tsleO2/dP+AbiT0Jfm0v5CJ9qc6gRiW2vwMaGpGsrmbTQ2F/kgIIIBAsQrQzhVrybJeCCAQJtDmfUDDMsJwBBBAAAEEEEAAgfYhQADaPsqZtUQAAQQQQAABBLwRIAD1pijICAIIIIAAAggg0D4ECEDbRzmzlggggAACCCCAgDcCBKDeFAUZQQABBBBAAAEE2ocAAWj7KGfWEgEEEEAAAQQQ8EaAANSboiAjCCCAAAIIIIBA+xAgAG0f5cxaIoAAAggggAAC3ggQgHpTFGQEAQQQQAABBBBoHwIEoO2jnFlLBBBAAAEEEEDAGwECUG+KgowggAACCCCAAALtQ4AAtH2UM2uJAAIIIIAAAgh4I0AA6k1RkBEEEEAAAQQQQKB9CBCAto9yZi0RQAABBBBAAAFvBAhAvSkKMoIAAggggAACCLQPAQLQ9lHOrCUCCCCAAAIIIOCNAAGoN0VBRhBAAAEEEEAAgfYhUFZsq9mhQwdrbGz0YrVKSkpM+fEp+ZQn5cWn/ATl5FOZ+eQTuOg1eB+Y5evVJx8ZKD8+JZ/KyaeyClyoy+G1VeXlW5n5Vl7SC+pSuGTbjfGpvLJZ65JEsOZHtJZNbluYZvfu3aY/X1Lnzp1t586dvmTHunbt6nzq6+u9yFNZWZk7WGhoaPAiPx07drTS0lKrq6vzIj/KhE91SI2b6pB89uzZ44WRykz12ZdmrFOnTqZ67UOSy65du3zIisuDbHzJj4KGLl26WG1trVd1xxcfFZh81Db7sk8Ngk+f9l+q0zU1Nd5sYz7tL4Si+tOjR49QHz9aytDstW6EdkJVVVXeNCi9e/e2bdu2tW4lcjh1EDxUV1fncCnZz7pbt26ugvoSpPfs2dMFfD6VmU91SMG56pDqjy87SpXZjh07vAmIVV6+BKBq/H2pywoetCPyJT86cFGApbrjS0BTUVHhjY9acRlpO9c+1YcUHNz5EvBp/6U8+VKnVUY+7S+UHwXEUcmv68NROWUcAggggAACCCCAQFEIEIAWRTGyEggggAACCCCAQOEIEIAWTlmRUwQQQAABBBBAoCgECECLohhZCQQQQAABBBBAoHAECEALp6zIKQIIIIAAAgggUBQCBKBFUYysBAIIIIAAAgggUDgCBKCFU1bkFAEEEEAAAQQQKAoBAtCiKEZWAgEEEEAAAQQQKBwBAtDCKStyigACCCCAAAIIFIUAAWhRFCMrgQACCCCAAAIIFI4AAWjhlBU5RQABBBBAAAEEikKAALQoipGVQAABBBBAAAEECkeAALRwyoqcIoAAAggggAACRSFAAFoUxchKIIAAAggggAAChSNAAFo4ZUVOEUAAAQQQQACBohAgAC2KYmQlEEAAAQQQQACBwhEgAC2csiKnCCCAAAIIIIBAUQgQgBZFMbISCCCAAAIIIIBA4QgQgBZOWZFTBBBAAAEEEECgKATK8rUWW7dutVdffdUOP/xwGzRoUMZsfPjhh/bxxx8nx/Xt29eGDh2a/MwbBBBAoBgEVq1aZevWrbMRI0ZYv379IlfpqaeeshNOOMHKyvLWfEfmj5EIIIBANgJ5acEWLVpkCxcutGOPPda9HnrooXbNNdc0y+99991nn376qVVUVLhxw4cPJwBtpsQABBAoZIGpU6faypUrXds2c+ZMmz59uu2///4ZV+nRRx+1adOmubaTADQjEQMRQKBABNo8AG1oaLDZs2fbHXfcYQcccICdc845dtZZZ9kFF1xgvXv3TmN77733bPLkyaGNcdrEfEAAAQQKTGDt2rW2fPlydyDeoUMHmzdvns2ZM8duuOGGtDWpr6+3iRMn2meffZY2nA8IIIBAoQq0eQBaWlpqDzzwgHXv3t2Z1dXV2Y4dO0yBaWqqqamxLVu22ObNm+3555+3448/3vbbb7/USVzDfeONNyaHqYE+8cQTk5/z/UY7lAEDBuQ7G2nLLy8vT9qnjcjDh5KSErfUxsbGPCy9+SKVH/35VGY+1qHgikRzwbYfovLq0qVL2y84ZIlBnQ4Z3Wzw6tWrTVd2VM5KugS/bNmyZtOpfRw9erR9/etfd5ffm02QGHDXXXfZ448/nhyl+fhUl2XTuXPnZP58eNOnTx8fsuHy4Nu2rvxof+3L9hVsW9qH+ZCC/Pi0jflWhxTfRaU2D0CVmSD43LNnj9199902ZsyYZv2ePvjgA9u5c6e9/PLL1rVrV3eJ/qKLLrKxY8cm10d9R7/xjW8kP++7775WW1ub/JzvN9pwWyqAtsyj3Hfv3u3+2nK5YcvSJUQFn00PPsKmz/XwTp06uX511KHM0mpwVYd27drlVZmpTvtyEKNtPggmMyumD924caP16tUrObBnz54Zz3IqcBs3blxyukxvjjzyyLTBCh58qcuqO9q+1Kb7kFRG3bp1c/nRfsiHpDL2xUce2u/Kxpc8qcz0p6sBPqSOHTu6AypftjGZ+BZztLRt5SUAFZQq9aRJk9yO46abbtKgtDRs2DB77LHHkpflhwwZYrNmzUoLQDXshz/8YfJ72jHqrKkvOyMFWNu3b0/mL99vFDzIvbq6Ot9ZccvXDkDBpy8NnHb+auB8KjOf6pACGtUhXZ3QtuZDUpnpCkpLDV1b5VXlpb9sk0xTD8C0c9WOf2/SSSedZPoLkrYrtYc+JG1XPXr08GbbUvCg9kdtoS8BjeqCT22PAmJt577kKThBoPbHh6T6IyNffGTi0/5C+ZFPVMrLY5hUga677jrXIN16663uyLhpJisrK013ygdJnfJ1Q5IvO5ogX7wigAACeyvQv3//tCBRAWPYU0H2dhl8DwEEEPBRIC8B6M0332yHHHKIXX/99a6PSQCjU9l6FInStm3b7Ac/+IG7hKQzmkuXLrXjjjuuVZe3gvnyigACCPgoMHLkSHvrrbds/fr17kzckiVLbNSoUS6rqe2hj3knTwgggMDnEcj+WtHnWUrKd9955x1bsWKF+1uwYEFyzIwZM9zpfl2WX7x4sR100EH2rW99yyZMmOAaZl1q09lSEgIIIFAsAmrX1MZdcsklphtiBg8ebOPHj3erp0czBe1hsawv64EAAggEAiWJs4t+3IIc5KjJqy65q4+XGuqWkm99QPVYqdRuBC3lP9fjBw4c6Pqr0Ac0s7TqmPqs6MkLviSf6pD6qOmOTz0KiD6gmWuIymtv7hrWjVTqsxnnHb4+9gHVlS0fkvqA6oH/2tZ96QOqp0uo65kvST7azquqqrzIko99QHUDoW4k9CX5tL+QifanUU+aaPMzoK0tKHVezyb4bO18mR4BBBDwRUABkf5ICCCAQHsRyEsf0PaCy3oigAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcgAG1uwhAEEEAAAQQQQACBHAoQgOYQl1kjgAACCCCAAAIINBcoaUyk5oMLc8ju3butoaHBm8x37NjRlCdfUufOna2+vt4bo9LSUlP127NnjxdEZWVl1qFDB9u1a5cX+VEmfKpDJSUlpjokH5/KTHXal6TyUr32Iakt9Kn90fblS1kFdXnnzp2uDfKhvHza1uXRqVMnt537UmZqm1VuvuzjtZ2rzOrq6nyoPi4PvtUh1Z3y8vJQn7LQMQU4QsFMZWWlNw1K7969bevWrd5IDhw40Gpra626utqLPHXr1s01JtoJ+JB69uzpAiyfysynOqQGd8CAAbZ9+3ZvgnSV2Y4dO7wJiFVevgSgavx9qcsKHnr06GHbtm3zYVN3gYMOpqqqqrwJiisqKtz+ywugRCb69evntnMZ+ZAUEOsgpqamxofsmPZfvXr18mYbE4pP+wvlR9tYVOISfJQO4xBAAAEEEEAAAQRiFyAAjZ2UGSKAAAIIIIAAAghECRCARukwDgEEEEAAAQQQQCB2AQLQ2EmZIQIIIIAAAggggECUAAFolA7jEEAAAQQQQAABBGIXIACNnZQZIoAAAggggAACCEQJEIBG6TAOAQQQQAABBBBAIHYBAtDYSZkhAggggAACCCCAQJQAAWiUDuMQQAABBBBAAAEEYhcgAI2dlBkigAACCCCAAAIIRAkQgEbpMA4BBBBAAAEEEEAgdgEC0NhJmSECCCCAAAIIIIBAlAABaJQO4xBAAAEEEEAAAQRiFyAAjZ2UGSKAAAIIIIAAAghECRCARukwDgEEEEAAAQQQQCB2AQLQ2EmZIQIIIIAAAggggECUAAFolA7jEEAAAQQQQAABBGIXIACNnZQZIoAAAggggAACCEQJEIBG6TAOAQQQQAABBBBAIHaBrAPQqqqqWBf+5z//2Z588klbtWpV5Hw1/ve//71pehICCCBQjALZtHM7d+60F1980f7whz/Y7t27i5GBdUIAgXYkkHUAevDBB9tZZ51lTzzxhDU0NHwuotdee80uuugi+9Of/mQ//vGP7bHHHss4v6lTp9odd9xhmv573/ueffjhhxmnYyACCCBQqALZtHO1tbV24YUX2nPPPWcPPfSQazcbGxsLdZXJNwIIIGBZB6CPPPKI9ezZ07773e/afvvtZz/60Y9s5cqVe0U4bdo0u+222+z73/++3XvvvTZr1izbtWtX2rzWrl1ry5cvd+N/8pOfuOXOmTMnbRo+IIAAAoUskG07N3/+fDv66KPtpz/9qf3qV7+ympoae+mllwp51ck7Agi0c4GybNf/q1/9qulv+vTptmjRIncUftRRR9kRRxzhjszPPfdc69WrV4uzq6+vtw0bNtjw4cPdtPvss49169bNPvroIzvggAOS31+9erWbpkOHv8TII0aMsGXLliXH680rr7xid955Z3LYlVdeaaNGjUp+zvebsrIy69u3b76zkbZ8WXfp0iVtWL4+qGx1Fqe8vDxfWUhbbmlpqSlPPpWZj3VIB6K+nH1TmXXs2DGtHPP5QflpTcqmndP83n//ffva176WnLXaw7fffttGjx6dHKYDeXVXCpIO7n2qy7LxJT8lJSWOqaKiwqu67IuPcFRe2lf4sn2pzPTXtWvXoIrn9TWITXwqM9/2F01PLDYtsKwD0OCLKvzvfOc7duCBB9oXv/hF+/Wvf+0uB+ks5eWXX26/+MUvIivspk2brHv37q4iBfNU4Lply5a0AHTjxo1pAa12ep999lnwFffauXNn23fffZPDlLfP2z0gObMY3mgD9ik/akgUOPiUJ+Vnz549MWh//lkEAbFPPj7VoWCnrfLyqcx8K6/W1MRs2jnN75NPPnFXoIJ5qz3UgXxqUjua2h6qvHyy0fblS36C4EH58eVgyicf1SsFMz7tL+TjW52Wky91WnnxaX+h/LS0bbUqANVRuPof6VL4mjVrbMyYMTZv3jw7/fTT7c0337Szzz7bFBT+7Gc/07IzpkxAOiva9Kxc0+k0TdMjH519nTJlSnI5irYVyLa00skv5PhN7969rbKyMsdLyX72AwcONPUlq66uzv5LOZxSZ2O18ermCh+Sduqqvz6VmU91SNukttMdO3Y06zKTr/JTmSk/vgTEKi85ZZuyaec0r2ymO/PMM01/QdJ2pfbQh6TgoUePHrZt2zYfsuNOkmhb3759u2nf4kPS2Vif2p5+/fq57TzuG5D31rpTp04uKFb3Ex+S9l/Kk09l5tP+QmWkbSwqZR2Annjiia4D/LBhw+zSSy+18847zwYNGpScty7Hf/Ob37S33norOSzTG52uVgCkxjHInBrJ1CN3fa9///72xhtvJGehaVKXlxzBGwQQQKBABbJt5xQMpAaTev83f/M3BbrWZBsBBBCw7G9CUp+jFStWuH5HunM9UzB41VVXuRuKomB1Wl+d6RcvXuwme/75501Ru/50dm7dunVu+MiRI10wu379eneEumTJEq/6d0atI+MQQACBbASi2rnU9lD973/7299aXV2deySdHsX0pS99KZtFMA0CCCDgpUDWZ0BTb/YJW5Nsj8j/+Z//Ofn4JV2amThxopul7qqfNGmSC051aW3ChAl2ySWXWJ8+fWzw4ME2fvz4sEUzHAEEECg4gah2LrU9PPnkk90zQPUUErWZ6oefetNmwa04GUYAgXYvUJLoL5m3h8mp74T6vUQlPXBZl+uzuVPaxz6gW7dujVq9Nh2nPqDq80Qf0MzsQR/QzZs3Z54gD0N1ZcCXOqR+iAMGDHA3A7Z0d2NbUfnYB7Rpf/ZsLLJt57T9qi+8riS1lOgDGi6kGzLVrUHbOn1AMzvRBzSzSzBUfUB1459uJPQl+bS/kIm6WeoEYlhquRUL+2YMw1sKPrUINRS+PAYihlVmFggggEAzgWzbOd3IQ0IAAQSKQSDrB9EXw8qyDggggAACCCCAAAL5FyAAzX8ZkAMEEEAAAQQQQKBdCRCAtqviZmURQAABBBBAAIH8CxCA5r8MyAECCCCAAAIIINCuBAhA21Vxs7IIIIAAAggggED+BQhA818G5AABBBBAAAEEEGhXAgSg7aq4WVkEEEAAAQQQQCD/AgSg+S8DcoAAAggggAACCLQrAQLQdlXcrCwCCCCAAAIIIJB/AQLQ/JcBOUAAAQQQQAABBNqVAAFouypuVhYBBBBAAAEEEMi/AAFo/suAHCCAAAIIIIAAAu1KgAC0XRU3K4sAAggggAACCORfgAA0/2VADhBAAAEEEEAAgXYlQADaroqblUUAAQQQQAABBPIvQACa/zIgBwgggAACCCCAQLsSIABtV8XNyiKAAAIIIIAAAvkXKGlMpPxnI54c7N692xoaGuKZWQxz6dixoylPvqTOnTtbfX29N0alpaWm6rdnzx4viMrKyqxDhw62a9cuL/KjTPhUh0pKSkx1SD4+lZnqtC9J5aV67UNSW+hT+6Pty5eyCuryzp07XRvkQ3n5tK3Lo1OnTm4796XM1Dar3HzZx2s7V5nV1dX5UH1cHnyrQ6o75eXloT5loWMKcISCmcrKSm8alN69e9vWrVu9kRw4cKDV1tZadXW1F3nq1q2ba0y0E/Ah9ezZ0wVYPpWZT3VIDe6AAQNs+/bt3gTpKrMdO3Z4ExCrvHwJQNX4+1KXFTz06NHDtm3b5sOm7gIHHUxVVVV5ExRXVFS4/ZcXQIlM9OvXz23nMvIhKSDWQUxNTY0P2THtv3r16uXNNiYUn/YXyo+2sajEJfgoHcYhgAACCCCAAAIIxC5AABo7KTNEAAEEEEAAAQQQiBIgAI3SYRwCCCCAAAIIIIBA7AIEoLGTMkMEEEAAAQQQQACBKAEC0CgdxiGAAAIIIIAAAgjELkAAGjspM0QAAQQQQAABBBCIEiAAjdJhHAIIIIAAAggggEDsAgSgsZMyQwQQQAABBBBAAIEoAQLQKB3GIYAAAggggAACCMQuQAAaOykzRAABBBBAAAEEEIgSIACN0mEcAggggAACCCCAQOwCBKCxkzJDBBBAAAEEEEAAgSgBAtAoHcYhgAACCCCAAAIIxC5AABo7KTNEAAEEEEAAAQQQiBIgAI3SYRwCCCCAAAIIIIBA7AIEoLGTMkMEEEAAAQQQQACBKAEC0CgdxiGAAAIIIIAAAgjELkAAGjspM0QAAQQQQAABBBCIEiAAjdJhHAIIIIAAAggggEDsAmWxzzHLGW7dutVeffVVO/zww23QoEEZv/Xhhx/axx9/nBzXt29fGzp0aPIzbxBAAIFiEFi1apWtW7fORowYYf369YtcpaeeespOOOEEKyvLW/MdmT9GIoAAAtkI5KUFW7RokS1cuNCOPfZY93rooYfaNddc0yy/9913n3366adWUVHhxg0fPpwAtJkSAxBAoJAFpk6daitXrnRt28yZM2369Om2//77Z1ylRx991KZNm+baTgLQjEQMRACBAhFo8wC0oaHBZs+ebXfccYcdcMABds4559hZZ51lF1xwgfXu3TuN7b333rPJkyeHNsZpE/MBAQQQKDCBtWvX2vLly92BeIcOHWzevHk2Z84cu+GGG9LWpL6+3iZOnGifffZZ2nA+IIAAAoUq0OYBaGlpqT3wwAPWvXt3Z1ZXV2c7duwwBaapqaamxrZs2WKbN2+2559/3o4//njbb7/9UiexN9980+6///7kMAWzhx12WPJzvt907NgxefY233kJlt+1a1dTvnxIqguNjY2mPPmQ5KIgIDjj7kuefMlPSUmJIykvL7c9e/b4wOPqssrMl9TabWv16tWmKzvBOugS/LJly5qtjtrH0aNH29e//nV3+b3ZBIkBOjv64osvJkfdcsst1OWkRvqbwLtHjx6uDUofm59Pvu0v1D537tzZmzqkMlMb1KlTp/wUUJOlykfJl/ZZefGtDunAOSq1eQCqzATBp3Zid999t40ZM6ZZv6cPPvjAdu7caS+//LILUHSJ/qKLLrKxY8cm10fB60cffZT8XFtba0GlSA7M4xttLD7lRxQ+5UkNigLQILDJY1G5RSsfPvn4Vl5B+QQ7guBzPl99K6/WWmzcuNF69eqV/FrPnj0znuVUIDBu3LjkdJneVFZWprWH2rZ8an98KivlRUk+cvIh+eQTePiUJ+UlKLcgf/l8DQ5i2MbCS6HpicWmU+Y8AF2zZo0tXbrULVeNqy61Kym4nDRpktv4b7rpJjcs9d+wYcPsscceS16WHzJkiM2aNSstAB05cqTNnz8/+bVdu3a5s6a+NCjqUqCbrXxJAwcONJ1Zrq6u9iJL3bp1c2e+VRd8SKqf2tH7dJnTpzqkhnbAgAFWVVVl2tZ8SCozXUHx5Yysyitqh6QbiN59911Hp7Odmja1kdYZg729IvC9733P9BckbVe+1GXtrHW2cdu2bUH28vqqM0W62UtBe0tnadoqozqTpvz4kuSj7Vzbuw9JZz7V71n7MB+S9l86ePRlG5OJT/sL5Uf706iU82tX2tBVSPpTA6SkCnTddde5z7feemvGU+raEFODN3XK1w1JvuxoolAZhwACCGQSCHZaag+7dOli/fv3dwfNwbTqdhT2VJBgGl4RQACBYhDI+RlQ9ds8//zz06xuvvlmO+SQQ+zKK69MG65L6Js2bbLBgwe7I+Vrr73WdcpXQ62zqMcdd1yyr1TaF/mAAAIIFIDAMcccY/oLks4uqRvS+vXrXeC5ZMkSGzVqlBud2h4G0/OKAAIIFItAzgPQplDvvPOOrVixwv0tWLAgOXrGjBnudL8uyy9evNgOOugg+9a3vmUTJkxwl0h0qU1nS0kIIIBAsQioXVMbd8kll1ifPn3cwff48ePd6unRTEF7WCzry3oggAACgUBJor+kHz2wgxw1edUld/XxUkPdUqIPaLSQ+oBu376dPqAhTKpj6rOiJy/4knzq0xP0AVWfJ/qAZq4hKi9dsWlt2r17t+sXrycMxJXUB1SX9H1IvvYB1bZOH9DMNYQ+oJldgqFBdxrdSOhL8ml/IRPtT3VgHZba/AxoWEbChqvhyib4DPs+wxFAAAHfBdRXXn8kBBBAoL0I5PwmpPYCyXoigAACCCCAAAIIZCdAAJqdE1MhgAACCCCAAAIIxCRAABoTJLNBAAEEEEAAAQQQyE6AADQ7J6ZCAAEEEEAAAQQQiEmAADQmSGaDAAIIIIAAAgggkJ0AAWh2TkyFAAIIIIAAAgggEJMAAWhMkMwGAQQQQAABBBBAIDsBAtDsnJgKAQQQQAABBBBAICYBAtCYIJkNAggggAACCCCAQHYCBKDZOTEVAggggAACCCCAQEwCBKAxQTIbBBBAAAEEEEAAgewECECzc2IqBBBAAAEEEEAAgZgECEBjgmQ2CCCAAAIIIIAAAtkJEIBm58RUCCCAAAIIIIAAAjEJEIDGBMlsEEAAAQQQQAABBLITIADNzompEEAAAQQQQAABBGISIACNCZLZIIAAAggggAACCGQnUNKYSNlN6v9Uu3fvtoaGBm8y2rFjR1OefEmdO3e2+vp6b4xKS0tN1W/Pnj1eEJWVlVmHDh1s165dXuRHmfCpDpWUlJjqkHx8KjPVaV+Sykv12oekttCn9kfbly9lFdTlnTt3ujbIh/LyaVuXR6dOndx27kuZqW1Wufmyj9d2rjKrq6vzofq4PPhWh1R3ysvLQ33KQscU4AgFM5WVld40KL1797atW7d6Izlw4ECrra216upqL/LUrVs315hoJ+BD6tmzpwuwfCozn+qQGtwBAwbY9u3bvQnSVWY7duzwJiBWefkSgKrx96UuK3jo0aOHbdu2zYdN3QUOOpiqqqryJiiuqKhw+y8vgBKZ6Nevn9vOZeRDUkCsg5iamhofsmPaf/Xq1cubbUwoPu0vlB9tY1GJS/BROoxDAAEEEEAAAQQQiF2AADR2UmaIAAIIIIAAAgggECVAABqlwzgEEEAAAQQQQACB2AUIQGMnZYYIIIAAAggggAACUQIEoFE6jEMAAQQQQAABBBCIXYAANHZSZogAAggggAACCCAQJUAAGqXDOAQQQAABBBBAAIHYBQhAYydlhggggAACCCCAAAJRAgSgUTqMQwABBBBAAAEEEIhdgAA0dlJmiAACCCCAAAIIIBAlQAAapcM4BBBAAAEEEEAAgdgFCEBjJ2WGCCCAAAIIIIAAAlECBKBROoxDAAEEEEAAAQQQiF2AADR2UmaIAAIIIIAAAgggECVAABqlwzgEEEAAAQQQQACB2AUIQGMnZYYIIIAAAggggAACUQIEoFE6jEMAAQQQQAABBBCIXYAANHZSZogAAggggAACCCAQJUAAGqXDOAQQQAABBBBAAIHYBcpin2MWM9yxY4e99dZbaVOOHj067XPwYdWqVbZu3TobMWKE9evXLxjMKwIIIFA0Atm0c7t377ZXX33VunbtasOHD7eSkpKiWX9WBAEE2p9AXgLQl19+2WbMmGFDhgxJimcKQKdOnWorV660oUOH2syZM2369Om2//77J7/DGwQQQKDQBbJp5z755BO74oor7JhjjrGamhqbPHmy3X///da5c+dCX33yjwAC7VQgLwHoe++9Z+PGjbMLLrgglH3t2rW2fPlyW7hwoXXo0MHmzZtnc+bMsRtuuCH0O4xAAAEECkkg23bukUcesbFjx9rFF1/sVm/ixIn21FNP2WmnnVZIq0teEUAAgaRA3gJQnfGcO3euO7v55S9/udnlpNWrV7vLTAo+lXQJftmyZcmM6837779vixYtSg4bM2aMDR48OPk532/KysqsR48e+c5G2vJ1xiQwTRuRhw/yaWxstE6dOuVh6c0X2bFjR2fjU5n5VIeCS77dunXz5sybyqy8vNzVo+Yl2vZDVF6tSdm0c5rfZZddltZGbtu2zWpra9MW9cwzz9jrr7+eHHb55Zd70/6o7qisfNm2gjawe/futmfPnqRZPt/4tK3LQUZqm30qM+WptLQ0n8WUXLbqs5IvPsqLb3WopW2rda2l1jCGpDOgSgpCH3zwQZs/f77deeedaXPeuHGj9erVKzmsZ8+e9tlnnyU/683HH39sjz32WHKY+kUdeuihyc/5fqONRf21fEraaFq7k8xV/oOARkGoD0n50Z9PZeZjHfLlgEF1RuXlyw4pyE9r6nI27Zzml2r+7LPP2oYNG+zUU09NW5SCz9T28NJLLzUFWL4k1WX9+ZR86sLgm4/y41N7qLwoBYFfvutRkB/2F+ElUVdXFz4yMSbnAeiaNWts6dKlLhMKInXZfdasWVZRUeEao9NPP93OOOMM16Dut99+ycxqp9LQ0JD8XF9f3ywwOPbYY+2FF15ITrNr1y7bvHmzN2dDevfubVu3bk3mL99vBg4caLoBrLq6Ot9ZccvXmTSV8c6dO73Ij+qndkiqQ74kn+qQtskBAwZYZWWlaVvzIanMVKdbOtJuq7yqvLp06RK6OF02f/fdd914XdXJpp1LndnixYvtoYcesilTprgzv6njfvjDH5r+gqTtatOmTcHHvL4qmNGZIp259SEpiNFNrVu2bDHtW3xI2idq2/IlyUfbeVVVlRdZ0kGYTp6oD7QPSfsvnSTzZRuTiU/7C+VH+9Oog+CcH45qQ1ch6U8NkCq07moPjoRVqfbZZx9TJ/vU1L9/f9c4BMPUUAwaNCj4yCsCCCBQcALBTkvtoQLV1rRzs2fPtgULFribMX3qalRwhUCGEUDAC4GcnwHVWc3zzz8/ubK63Kqjd93RqUvw77zzjru0fuSRR7o+TTqaUOM6cuRIu/vuu239+vUu8FyyZImNGjUqOR/eIIAAAoUmoLvY9RcknV0Ka+fUxzNoD5944glTH8977rnHqz5nwXrwigACCLRWIOcBaNMMqd/ENddcY/fee6/70+XO66+/3p1aVx+mSZMmmS4z6dLahAkT7JJLLrE+ffq4oHT8+PFNZ8dnBBBAoGAFoto5PYIuaA/VbenTTz91d8IHK3vmmWfa1VdfHXzkFQEEECgogZLEGcm83QGi/kBqgIPOvJnk9PBl9WXSna4tJV3e16X6PK5SWhZ964+hPqDbt2+nD2haKf31g+oifUD/6tH0XdAHVDcD0ge0qc5fPrfUBzTzt8xa086FzaPpcLWbag99SL72AdUJEPqAZq4h9AHN7BIMDbrT6EZCX5JvMYf2pzqBGJba/AxoakbUD6qlpD6kvtz11lJeGY8AAgjsjQDt3N6o8R0EEChkgZzfhFTIOOQdAQQQQAABBBBAIH4BAtD4TZkjAggggAACCCCAQIQAAWgEDqMQQAABBBBAAAEE4hfI601Ica7O448/7n4n/tVXXzV1DiY1F9Cjrq666qrk70k3n6J9D7n99tvtueeesyeffLJ9Q4Ss/dq1a92v7/z7v/+7/cM//EPIVO178IUXXuieeaxHK+Uz/ehHP7KPPvrI/dxxPvPh67JfeeUVO++889wvR/n063k+eY0bN86OOuoou/nmm33Kljd5mTNnjt12223uUZLeZKrAMlI0Z0B157t+DcWXO+B9rAf61SF8wktG9Sf117fCp2yfY9jGWi53X+qQL/loWSx/U8iIFC6gthCjcJ+gPQyfgjEtCRRNANrSijIeAQQQQAABBBBAwA+BvD6GKU6CL3zhCzZmzBj3QPs451tM8/rHf/xHO+CAA4pplWJdl2HDhnEGNEJUv+mrbaxv374RU7XvUfq1Nh+6AP3d3/2d6VfoSJkF9LxE1WX9PDQps8BXv/pVO/DAAzOPZKjtv//+rg5BsfcCRdMHdO8J+CYCCCCAAAIIIIBAWwpwCb4ttVkWAggggAACCCCAgJX+v0Ty0eHPf/6zLV++3F0S1U+ChaWqqio3XdeuXdMup7z22mu2bt0627Bhg/vTZTFNo5TtvMOW6cvwVatW2f/+7/+6u27DLvupI/mKFStMP3sqR/3sqX6i7+WXX07apBppPlF2vqx7tvnYsWOHW1ddLglLYY5yeumll5yTfsZUP0UZpLDvBOML6fWpp56ywYMHm34uMVOK2l7ef/99+7//+z+TT+ovlhVTHXr33XdN9aiioiITjxuWqT7oO9o+g+1Lr6mXxTN9J3QBiRHZ1OXVq1fbm2++af3798+6PFqbj6g85ntcS3U50/5CP6X41ltvpZWTniCgsmqpDPO9vq1Zfti2mjqPqDYvqh0ohjq0detWe/HFF12cENU1I8xBP6er/ap+qnifffZJ/sR4MdWh1LoSx3svA1DtvK655hrX4P/617+2Ll26mPrnNU2LFy+2n/3sZy7wvP/++13fqyFDhrjf9r3gggtc0KWdh/7U91GVItt5N12Wb5+nTp1qevSUfpN75syZdswxx7hANDWf2uFddtllLuDU46meffZZO/HEE91vwf/mN79xLrJ544037IEHHnDzUJAaZpc670J4X1dXZxMnTrQ//elPdsopp2TMcphjbW2tXXTRRc5KjZIez6Q+tArgw76TcQGeD3z00Udt8uTJ7pE0ZWXNu4RHbS/XXnutC7B0p+y0adNcEKu+2Ppt7WKpQ2vWrHFtkfrCDR06NGNphtUH1Ru5bNq0KbmtBfUw7DsZF5AYmE1dvv766902Lv9f/epXpj585eXlkeXR2nyE5c+H4S3V5bD9xeuvv24aF+wr1E4+/fTT9t3vftcFJGFl6MM6Z5uHsG019ftRbV5UO1AMdWjRokV21113uX3oww8/bArWR48encrj3oc5fPLJJ+7xhto/rFy50hS3nHbaae6elKh2oNkC2tuAxKMEvEvnn39+Y6JRcPlKFGxjoiAbE0dmzfKZaCAa3377bTc8cVTSeNJJJzUmGurG9957rzGxA2w2vQZkO++MX/ZkYGKn2PjNb36zMXF20+UoscE0/vznP2+Wu3vvvbcxEZwmh19xxRWNicY1+Tl4k9hZNd56663uY5RdMH0hvH7wwQeNZ599duOECRMaE89EzJjlKMfEAU1jomFNfk/z+Z//+Z/GqO8kJy6AN4mj9cYbbrjB+XzlK19x202mbIdtL4mzbI3nnntu8iuqVz/4wQ/c52KpQ4kDvMYzzjijUe3ME088kVzX1DdR9SGxE2r8j//4j9TJ3fuo7zSbODEgm7os83/6p39Kfj0RjDX+9Kc/dZ/DyqO1+UjO3LM32dblsP1F6upo/3HOOec0vvDCC25wWBmmfsf391Hbamrew9o8TRPWDhRDHUocsDWeeeaZjYmrB46jurq6cezYsY1btmxJ5XHvwxz+9V//tTHxfOTk9P/yL//SuGTJEve5GOpQcsVifpP5mlseo3AdvevM3fDhw10udNZSl4V1SSQ16XS5ziwcfPDBbrDuzNVpc02XaHDd5ZPf/e53piObmpoaN022805djo/vdZlNPsEl0xEjRlgiEG+WVZ3ZDBw1UlaJnVnadDpa09m9RPDghofZpX2pAD6ozG+66SZ3FiMsu1GOOgKWa5AC46jvBNMWwqu6ZugIX2fPw1LU9nLYYYdZ4gAn+VV18dBZOqViqUPqsqOH7uvMp85sZEpR9UEOOgM5d+5cd2ku0Xa7WUR9J9MysqnLmbZ1LUcprDxam49MefNhWDZ1OWp/kboOKu8jjjjCXQ3S8LAyTP2O7++jttXUvIe1eVHtQDHUIXWt0hXA4Akxasd02Vz1KjVFOehKo37YIEhqD3VGWakY6lCwXnG/eheAKqjU415SG/xevXpZ4mgkbd31GI2DDjrI/uu//ssN16lx9c1Qfx5dclWflO3bt7vXs846y43Ldt5pC/Lwg9ZRJkHq2bOn63cSfA5edVlel5K04WiD+sMf/uB8gvF6VdeFb3/7285cn8PsNK6Q0t/+7d+6HUlUnqMcdUlFrkEKjKO+E0xbCK+dO3c2/dJJpsvuQf6jthcd/AR9qjXd7NmzLXF2wH21WOrQ1772teQjp4LgMbAJXqPqg3Y86n8t6wcffND060RKUd8J5pv6mk1d1i9T/fGPfzQFWuoSob6QWo5SWHm0Nh+pefLpfTZ1OWp/EayLgob//M//NP2aVZDCyjAYXwivUdtqav7D2ryodqBY6pBiDiVtO/oVMz2iq+m9J1EOnTp1Sva5VhcOnUQ79dRT3TyLoQ65FcnBv+advnKwkNbMUkcjmY481A+0adJRx4wZM9yZmEGDBpmO9BSYXXrppe4vuDFHHat1NlT9r7Kdd9Nl+fS5qZECzCAYSM2nNiKdGVUArhtEvvSlLyUDTU336aefuv6fqfehhdklLremzroo3kc5ho0LG14UIE1Woum6arTqWuq2mLgEZz/5yU9cf9mgzxR16C83O86aNcv1Y1cAcPrpp1vicr7bMTV1Ddt+mxRH5EfdBKbt/OKLLzbtDI899tjkQWpYeejgI7U9jCMfkZnM88iw/UWQLe0j9BxXXXULUlgZpt5MFkzr+2umbTU1z2H1sulwfSdoB5qOK+Q6pDhh0qRJ7tcCdfWsaWq6rqkOwbTqS/zQQw/ZlClT3NUPDS+mOhSsZ1yv3p0B1aX0RB8Md+NMsJI6+7nvvvsGH5OvCqhUuLqhRh3FKysrTTdB6DK8KlOQdAe0jtRaM+/guz6+6g7X1DPCeq8AvGnSXbu33HKLu7wwb948tzOUT5DU4OqmJF0mDFKYXTC+mF6jHHX029RYdTDqO8Vko3VpaXt55513XNeNRN9i1+E+WH/q0CB3c6CewhF0k1FQqMBGZ5lyVYd0kDh//ny3vZ988smuLVSZhJVHrvIR1APfXsP2F0E+E/187Rvf+EbwMbIMkxMVyJuwbTU1+2FtXlQ7UCx1SN1crrvuOteNL3E/hDuIS7XR+ygHjddVoAULFtj06dPdDZkappuEw9oBjW/vybsAVEflRx99tLsrUYXz/PPPmy6f6E9p7dq1yb5miRtD3B1nujyqO820AWk6feff/u3f3PSqWDolfsIJJ7jLjVHzdl8ogH8jR450jw1Zv369OxJNdHZ2R+7Kuroh6E9Jd/Opj5/6xurxI3LR+gdJjZL6O6WmMLvUaQr5vfrlqEFQinLUHcS//e1vXV2Tp7ovaAcW9Z1CdknNe1CHorZFTfPjH//Ybr75ZjvuuONSvx66/aVNVMAfsqlDuuKgsyC6BK+kbU2PZznyyCNjq0Op+VCQqbu2FfDqDPUjjzxixx9/vFt22DbdHupyNvsLIemEhaZVd4cgRZVhME0hvEZtq6l1KKzNi2oHiqUOqR075JBDTE+S0JnO1BTUoSgHHbw888wzds8996SdQS+WOpTqEed7L38JSQGCdm6qCGpQ9Sid4GYj9au4/fbbTT8198orr7hL8GpwNa2m01kGBVt6tMzHH39smzdvdpfev//977t5Rc07Tthcz2vp0qXuSKtPnz7uaOu2225zAfYdd9zhLrfrMVY6k3zjjTe6m7DUt0U7KJ0ZCZI+yyz1EVdRdsH3CulVfYTVOPzyl7902Vad0WUWXSpRCnPUpSSdPdbzAVUHv/Od77i+slHfcTMswH/a8aivsPrSKaXWobDtRY/50QFOal9t1UU9GqzY6pB2TupeEPTpyrYO6dFnulFLzwdUO6Sdm/plK4XVOzcy5F9Ldfm+++5zz0TW2VbdOKU+pyqfqPLYm3yEZM+LwU3rcjb7C2Vc/fQST4WwhQsXpq1HVBmmTejxh6htNbUuR7V5Ye2AVrvQ65AODnUySym1PVP3Pt3Em1qHwhwST6BwXdpSv5+4s96uvvpqK4Y65HBy8M/LADRYT11Sj3r4czCdbrBJvYwcDNfZTwWmwY41GK7XbOed+h3f3mvHpiP3TOuemtcwn9Rpmr6Psms6baF/jnLUjWzqX6uj39QU9Z3U6Yrl/d5sL9Shv5S+bm7RVZrUnZPG5KIO6ZKfbpjK1OaFlUcu8uFzvd+b9jCsDH1ez73NW1ibp/mFtQPtrQ6FOUSZt6c6FOWQOs7rADQ1o7xHAAEEEEAAAQQQKA4B7/qAFgcra4EAAggggAACCCAQJkAAGibDcAQQQAABBBBAAIGcCBCA5oSVmSKAAAIIIIAAAgiECRCAhskwHAEEEEAAAQQQQCAnAgSgOWFlpggggAACCCCAAAJhAgSgYTIMRwABBBBAAAEEEMiJAAFoTliZKQIIIIAAAggggECYAAFomAzDEUAAgTYS2LRpk/s1lt///vfJJS5fvtwuu+wy0zgSAgggUGwCBKDFVqKsDwIIFJzAgAED3G+4n3/++bZlyxb3u/H6+dcePXqYxpEQQACBYhPgl5CKrURZHwQQKEiBuro6O+qoo2zkyJGmn4v88MMP7cUXX7SOHTsW5PqQaQQQQCBKgAA0SodxCCCAQBsKvP7663b00Ue7s6GvvfaaHXjggW24dBaFAAIItJ0Al+DbzpolIYAAApEC5eXl7oxnQ0OD6Y+EAAIIFKsAZ0CLtWRZLwQQKCiB+vp6O+aYY2zw4MG2Z88e27Bhg73wwgtWVlZWUOtBZhFAAIFsBGgxDzMAAAABHUlEQVTZslFiGgQQQCDHArfeequtWbPGli5d6gLQww8/3DTslltuyfGSmT0CCCDQ9gKcAW17c5aIAAIIpAmsWLHCvvKVr9jDDz9s3/72t924uXPnmu6K1+OY/v7v/z5tej4ggAAChS5AAFroJUj+EUAAAQQQQACBAhPgJqQCKzCyiwACCCCAAAIIFLoAAWihlyD5RwABBBBAAAEECkyAALTACozsIoAAAggggAAChS5AAFroJUj+EUAAAQQQQACBAhMgAC2wAiO7CCCAAAIIIIBAoQsQgBZ6CZJ/BBBAAAEEEECgwAQIQAuswMguAggggAACCCBQ6AIEoIVeguQfAQQQQAABBBAoMAEC0AIrMLKLAAIIIIAAAggUusD/B0fGKMpvmTJQAAAAAElFTkSuQmCC" /><!-- --></p>
</div>
<div id="custom-geom" class="section level2">
<h2>Custom geom</h2>
<p>The function <code>geom_custom</code> extends the ggplot2 function <code>annotation_custom</code> to cases where multiple grobs are to be placed, e.g. on different panels, or at different positions in a plot. This geom is a bit special in that it does not truly respect a <em>grammar of graphics</em> – arbitrary grobs can be plotted, with no explicit mapping to variables. Its typical use would be to place annotations (images, tables, …). The data used to create the annotation is passed as a list-column.</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1">codes <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">country =</span> <span class="kw">c</span>(<span class="st">"nz"</span>,<span class="st">"ca"</span>,<span class="st">"ar"</span>,<span class="st">"fr"</span>,<span class="st">"gb"</span>,<span class="st">"es"</span>))</a>
<a class="sourceLine" id="cb11-2" data-line-number="2">codes<span class="op">$</span>y <-<span class="st"> </span><span class="kw">runif</span>(<span class="kw">nrow</span>(codes))</a>
<a class="sourceLine" id="cb11-3" data-line-number="3"></a>
<a class="sourceLine" id="cb11-4" data-line-number="4">gl <-<span class="st"> </span><span class="kw">lapply</span>(codes<span class="op">$</span>country, </a>
<a class="sourceLine" id="cb11-5" data-line-number="5"> <span class="cf">function</span>(.x) png<span class="op">::</span><span class="kw">readPNG</span>(<span class="kw">system.file</span>(<span class="st">"flags"</span>, </a>
<a class="sourceLine" id="cb11-6" data-line-number="6"> <span class="kw">paste0</span>(.x,<span class="st">".png"</span>),</a>
<a class="sourceLine" id="cb11-7" data-line-number="7"> <span class="dt">package=</span><span class="st">"egg"</span>)))</a>
<a class="sourceLine" id="cb11-8" data-line-number="8"></a>
<a class="sourceLine" id="cb11-9" data-line-number="9">codes<span class="op">$</span>raster <-<span class="st"> </span><span class="kw">I</span>(gl)</a>
<a class="sourceLine" id="cb11-10" data-line-number="10"></a>
<a class="sourceLine" id="cb11-11" data-line-number="11"></a>
<a class="sourceLine" id="cb11-12" data-line-number="12"><span class="kw">ggplot</span>(codes, <span class="kw">aes</span>(<span class="dt">x =</span> country, <span class="dt">y =</span> y)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb11-13" data-line-number="13"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb11-14" data-line-number="14"><span class="st"> </span><span class="kw">geom_custom</span>(<span class="dt">data =</span> codes, <span class="kw">aes</span>(<span class="dt">data=</span>raster), </a>
<a class="sourceLine" id="cb11-15" data-line-number="15"> <span class="dt">grob_fun =</span> rasterGrob, </a>
<a class="sourceLine" id="cb11-16" data-line-number="16"> <span class="dt">fun_params =</span> <span class="kw">list</span>(<span class="dt">height=</span><span class="kw">unit</span>(<span class="dv">1</span>,<span class="st">"cm"</span>))) <span class="op">+</span></a>
<a class="sourceLine" id="cb11-17" data-line-number="17"><span class="st"> </span><span class="kw">scale_y_continuous</span>(<span class="dt">breaks=</span><span class="ot">NULL</span>, <span class="st">""</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb11-18" data-line-number="18"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">panel.grid =</span> <span class="kw">element_blank</span>())</a></code></pre></div>
<p><img 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" /><!-- --></p>
<p>The list-column format allows passing grobs directly, in which case the <code>grob_fun</code> function should be identity,</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1">codes<span class="op">$</span>raster <-<span class="st"> </span><span class="kw">I</span>(<span class="kw">lapply</span>(codes<span class="op">$</span>raster, <span class="cf">function</span>(x) <span class="kw">rasterGrob</span>(x, <span class="dt">height=</span><span class="kw">unit</span>(<span class="dv">1</span>,<span class="st">"cm"</span>))))</a>
<a class="sourceLine" id="cb12-2" data-line-number="2"></a>
<a class="sourceLine" id="cb12-3" data-line-number="3"><span class="kw">ggplot</span>(codes, <span class="kw">aes</span>(<span class="dt">x =</span> country, <span class="dt">y =</span> y)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb12-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb12-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_custom</span>(<span class="dt">data =</span> codes, <span class="kw">aes</span>(<span class="dt">data=</span>raster), </a>
<a class="sourceLine" id="cb12-6" data-line-number="6"> <span class="dt">grob_fun =</span> identity)</a></code></pre></div>
<p><img 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ARqJUALaK1YeJAESMBbBILEv2diZwdyjxSiRUs7Qux2tN5VgnC7GanBFpTkHUbej9/BFGOBObIYcZ3NMGUWIbq9xFXrJzWot5qO+ZIACZBAvQlQgNYbFSOSAAl4goBdfH3m51gR3S8JibFWJK8tQngiRIgWYkjmTgTnit/PmGI4cqU7XjzQJ5zeFpkJ7VF0cCdsxeKhia6YPNFMzIMESIAEGkWAArRR+HgxCZCAuwlYQ4F2Z9mxy1EKW0k5rGLRLBc/82aLAwlR5QgVkenQpY9keU49WWaW7vnWBUho40BwhJSG4z/d3SRMjwRIgATcTsBjAjQjIwMbN25Ep06d0KNHjxoVSUlJwf79+6scN8kkg2HDhhnHNm3ahJKS312sdO/eHXFxcVXic4cESMD/CdikCr8dK8WO9DUISzCjVaKshJRhFr0ZirKoJNgKrQjPPIiw8BLEtAdScnPxc9r3sLQsQo9oHdbOPnj//xawBiRAAs2dgEcEqIrHRx99FOPGjcMrr7yC6dOnY9KkSVXY7tmzB59//nnFseTkZOTk5GDx4sWw2WyYNWsWBg4cWHF+2rRpFKAVNLhBAs2HgN1hRr4tElZrPOzBNvQ9Mx/hsRZklMTiWHgbmIrKkZibj9aRyYg9Ddic0wIWSwKKZYxouT0HFn2qUYM2ny8Ea0ICJNAsCXhEgD733HN48skn0a9fP1x11VW4+eabMWHCBFlmL7gC6qhRo6B/GtTSedNNN+Ghhx4y9tUy2q5dOzz99NPGPv8hARLwIwK6OpH+1TOEWctxSddDoiEPGZeZLcCZ/cpgtx9BWXkKxE0ogiWO2aR988DZ0ck4u0OKxHXIsRMZNSC/ehbLdTRP5+e6NDxLAiRAAj5PoMkFqFovDx8+jL59+xowWrVqhfDwcBw5cgSdO3euFdCbb76JM844AyNGjDDO79692xCgS5cuNcTp+eefb6RR+eKdO3ciKyvLOGQRf4Fdu3atfLrZbpvNMgNYfnQri/lmW1kfrpi2g4agoCAfLqV3imbKD0LeXnd5fDs+wLPMkKa+o/rs8VYEt/z9hdo7pH0rV+c9YbVa4ZBVrBi8R0DbQv/4O+G9NtCcA+2ecNa3LupNLkDT09PRokULQyQ5CxEdHW2IxdoEqHa7f/LJJ5gzZ44zOn799Vfs2rXLsKDu27cPr7/+Ot5++20kJCRUxFEr68qVK439sLAwbN68ueJcIGzEx8cHQjV9vo5RUVE+X0ZPFzD/UCy2PBXm6Ww9ml/352PQcgDvwdqg856ojYp3jvF3wjvcq+caKPdEYWFh9apX2W9yAarWyHKdwlopqFU0NFSmutYS1Mo5ZMgQqKXUGW655Rbon1pONWgXvcbTcaDO8NhjjxnjRHVfLYJHj8oSKgEQIiMjZfybBceOHQuA2vpuFbUNdFKctkNZmfgRYqggUJB6DDmHpB+9GYfMlDzIQ6cZ17DhVVPrhwoeNSqUlpY2PAFe4TYC/J1wG8pGJRRo94T2fjh1W23gmlyA6gOooKDAEI0hIeqgD4b1MykpqbbyYMmSJbjjjjuqnNPuerV2OivSoUMH6Kz5yqF169aVd2ucr3KyGe1o15b+qahn8B4BZxejvmyxLaq2gzJxVwd81ZR9Z88hzvLZ7lXbQ1/KNPCeqMrFG3t2+X6q+OF31Bv0f8/T2SUdKPeE8xnwO4GqW03+u6AKeOjQocZsds169erViI2NNf50XycYFReLYz8JatnU/T59+hj7zn/0mv/85z/Grpp0V6xYgbPPPtt5mp8kQAIkQAIkQAIkQAJ+RKDJBaiyuP322/Hxxx9j6tSpeO211/Dwww9XIJo5c6YxvlMPHDx4EC1btqywdDojTZ48Gfn5+ZgxY4Yxi37AgAHQPwYSIAESIAESIAESIAH/I9DkXfCKpGPHjpg/f74xPi4mJqYKpS+++KJiv1u3boZQrThwYkMH7D711FNQ66eadJ1d+dXjcZ8ESIAESIAESIAESMD3CXhEgDoxVBefzuP1/XSOAa1vfMYjARIgARIgARIgARLwPQIeFaC+V32WiARIwBMEfMdjpydqyzxIgARIgARORoAC9GSEeJ4ESKBxBMwmWFp4zg+oumHT4PRM0LjC1/Nqi0eG09ezMIxGAiRAAr5PgALU99uIJSQBvyYQ1KYVWt5/m8fqoD6G1d3JyZwgu7NAoad3d2dyTIsESIAEmj0BCtBm38SsIAl4l0BQqwQk3nadxwqhK62p+7fMzEyP5cmMSIAESIAEGkaA/UYN48XYJEACJEACJEACJEACjSRAAdpIgLycBEiABEiABEiABEigYQQoQBvGi7FJgARIgARIgARIgAQaSYACtJEAeTkJkAAJkAAJkAAJkEDDCFCANowXY5MACZAACZAACZAACTSSAAVoIwHychIgARIgARIgARIggYYRoABtGC/GJgESIAESIAESIAESaCQBCtBGAuTlJEACJEACJEACJEACDSNAAdowXoxNAiRAAiRAAiRAAiTQSAIUoI0EyMtJgARIgARIgARIgAQaRoACtGG8GJsESIAESIAESIAESKCRBChAGwmQl5MACZAACZAACZAACTSMAAVow3gxNgmQAAmQAAmQAAmQQCMJUIA2EiAvJwESIAESIAESIAESaBgBCtCG8WJsEiABEiABEiABEiCBRhKgAG0kQF5OAiRAAiRAAiRAAiTQMAIUoA3jxdgkQAIkQAIkQAIkQAKNJEAB2kiAvJwESIAESIAESIAESKBhBChAG8aLsUmABEiABEiABEiABBpJgAK0kQB5OQmQAAmQAAmQAAmQQMMIUIA2jBdjkwAJkAAJkAAJkAAJNJIABWgjAfJyEiABEiABEiABEiCBhhGgAG0YL8YmARIgARIgARIgARJoJAEK0EYC5OUkQAIkQAIkQAIkQAINI0AB2jBejE0CJEACJEACJEACJNBIAiaHhEam4ZOXFxcX+2S53F2ooKAgmEwmlJaWujtpptcAAtoGISEhRjvY7fYGXMmo7ibAe8LdRE8tPd4Tp8atKa7iPdEUVE8tzdDQ0ID5nbDZbIiIiKgTlLXOM35+Ijs7289rUL/ix8TEwGKxIFDqWz8qno+lbZCYmIi8vDy+DHgef5Uco6OjYbVaeU9UoeL5Hec9kZ+fj5KSEs8XgDlWEOA9UYHCqxtmsxkqQAPlnlCjjKvALnhXdHiOBEiABEiABEiABEjA7QQoQN2OlAmSAAmQAAmQAAmQAAm4IkAB6ooOz5EACZAACZAACZAACbidAAWo25EyQRIgARIgARIgARIgAVcEKEBd0eE5EiABEiABEiABEiABtxOgAHU7UiZIAiRAAiRAAiRAAiTgigAFqCs6PEcCJEACJEACJEACJOB2AhSgbkfKBEmABEiABEiABEiABFwRoAB1RYfnSIAESIAESIAESIAE3E6AAtTtSJkgCZAACZAACZAACZCAKwIUoK7o8BwJkAAJkAAJkAAJkIDbCVCAuh0pEyQBEiABEiABEiABEnBFgALUFR2eIwESIAESIAESIAEScDsBClC3I2WCJEACJEACJEACJEACrghQgLqiw3MkQAIkQAIkQAIkQAJuJ0AB6nakTJAESIAESIAESIAESMAVAQpQV3R4jgRIgARIgARIgARIwO0EKEDdjpQJkgAJkAAJkAAJkAAJuCJAAeqKDs+RAAmQAAmQAAmQAAm4nQAFqNuRMkESIAESIAESIAESIAFXBChAXdHhORIgARIgARIgARIgAbcToAB1O1ImSAIkQAIkQAIkQAIk4IoABagrOjxHAiRAAiRAAiRAAiTgdgIUoG5HygRJgARIgARIgARIgARcEaAAdUWH50iABEiABEiABEiABNxOoN4CNDc31+2ZM0ESIAESIAESIAESIIHAI1BvAdq9e3dcddVVWLJkCcrLywOPFGtMAiRAAiRAAiRAAiTgFgL1FqAfffQRoqKicM0116Bdu3aYNWsWfv75Z7cUgomQAAmQAAmQAAmQAAkEDoF6C9BRo0bhjTfeQGpqKp599lns2LEDAwcOxODBg/Hyyy8jJycncKixpiRAAiRAAiRAAiRAAqdMoN4C1JlDWFgYpkyZgkcffRQ333wzNm/ejAcffBBt27bFAw88gLKyMmdUfpIACZAACZAACZAACZBADQLWGkdcHNizZw/ef/99zJkzB/v27cP48eMxb948XHLJJdi2bRuuvvpqhISE4KmnnqqRSkZGBjZu3IhOnTqhR48eNc7rgYMHDyI5ObniXHx8PLp162bsl5SU4Mcff4TJZDKsrkFBQRXxuEECJEACJEACJEACJOA/BOotQM855xysXLkSvXr1wi233ILrrrsObdq0qaipdsdPmjQJ27dvrzjm3Ni0aZNhMR03bhxeeeUVTJ8+3YjrPO/81C7+tLQ0xMTEGIf69u1rCNCioiLceOON6N27tyFQdTzqM888Y4hR57X8JAESIAESIAESIAES8A8C9RagAwYMwN///ncMHTq0zprdddddCA8Pr3H+ueeew5NPPol+/foZM+m1637ChAkIDg6uEnf37t14+umn0aFDhyrH58+fb+R7zz33GMf/8Ic/4Pvvv8ewYcOqxOMOCZAACZAACZAACZCA7xOotwD95z//edLatG/fvkYcm82Gw4cPQ62ZGlq1amWI1CNHjqBz584V8QsLC5GVlYWjR49i9erVGDt2rDHbXiNo179aT51BxfAvv/xSRYAeOHCgYiKUxWIx8nHGb86fZrPZsARzSIJ3W1nbQYPVaoXD4fBuYQI8d94TvvEFcN4T+jzm88m7bcJ7wrv8nbk77wn9nbDb7c7DzfZTh0y6CvUWoK4ScXUuPT0dLVq0qNJdHh0dbYjNygL0t99+g47z3LBhA3Sik1o7Z8yYYVhKdea9uoByBt1WUVs5qHVWhwho0Ot1clQghYSEhECqrs/WVb/bDL5BgPeEb7QD7wnfaActBe8J32iLynrGN0rUNKVQw6Kr0OQCVN9+qzuuV6toaGholXLp2NKFCxciNjbWON61a1e89dZbhgCtnoZeryKzcvjTn/6E22+/3Tikbxk66SkQQmRkJLS+dIPl3dbWNoiLizPagZ4gvNsWERER0GcG7wnvtgPvCe/yr5w774nKNLy37bwndGXJ0tJS7xXEQznrc7i2YZnO7JtcgOpM9oKCAsO6qTPkNWhXe1JSkrMMxuexY8egjeIUoDoOVCckqZla39r0GmfQ7erd/Tq7vnJISUmpvNtst5WPmrkperzbxHqjadCXI7aFd9tC7wl90LMdvNsOzntCDRBsC++2Be8J7/J35q7PJQ2B8jvhrK+z/tU/G+wHtHoCJ9vXsQ46cWnx4sVGVB3fqSLTKTT379+P4uJiw1px7733Qme86xi6zz//HGPGjDF+SNQJ/hdffGHEU8vmunXr0L9//5NlzfMkQAIkQAIkQAIkQAI+SKDJLaBaZ+0aV2f12sWuilid2DvDzJkzMXv2bGOG/OWXX45bb73VeDvQMRJPPPGEEe28887D2rVrjWVA9Xp1hF95/KgzLX6SAAmQAAmQAAmQAAn4PgGTWBs9NmVXu9mdPj7rQqNdBfn5+VUmHTnj5uXlGWM/1ap6shAoXfDKU7u6MjMzT4aE55uQgLZBYmKi0Q6BMLanCVE2Ommd9KLPCN4TjUbZqASc94QOmdIJpgzeI8B7wnvsK+esBjT1BBQo94QOu9S5EXWFkyu5uq48heMnE5+apDZQXTPEdMINAwmQAAmQAAmQAAmQgH8TaPIxoP6Nh6UnARIgARIgARIgARJwNwEKUHcTZXokQAIkQAIkQAIkQAIuCVCAusTDkyRAAiRAAiRAAiRAAu4mQAHqbqJMjwRIgARIgARIgARIwCUBClCXeHiSBEiABEiABEiABEjA3QQoQN1NlOmRAAmQAAmQAAmQAAm4JEAB6hIPT5IACZAACZAACZAACbibAAWou4kyPRIgARIgARIgARIgAZcEKEBd4uFJEiABEiABEiABEiABdxOgAHU3UaZHAiRAAiRAAiRAAiTgkgAFqEs8PEkCJEACJEACJEACJOBuAhSg7ibK9EiABEiABEiABEiABFwSoAB1iYcnSYAESIAESIAESIAE3E2AAtTdRJkeCZAACZAACZAACZCASwJWl2d5kgRIgARIgARIoN4Ecv/xKtpMHI/I4QMBa82f2LyCUtz16EJ8suB75OUWShyxA5ncYAsqs2HI8J74+sM70CI8CNsvmIbsFeuBcoeU3VRRfgfKET2kL/p9t9g4NmLii1j/zc9AcM2yVlxU7w3Jq9SG0BahuGziULz54lQEH83E4Seex6GX35dUHLDLfyaTCRE9uqLj7IdQNuSMeqfOiM2LgDu+cc2LCGtDAiRAAiRAAqdIIG/LDmS8PA/xl52NpDtnIPKs/jAFBVWkFhURgrefmYLrrhiMF15fhRUrtyPfnUJUclKBd7JQnzgnS+P388eFZ3BoMIaf3x8Pz5qAczqHI/Xpl5H6+jwU7Dso0lN1tgmRXbug9S1T0OrGq2GKjkR6evrvyXAroAhQgAZUc7OyJEACJEACTUvADFtZAVI/XoyMT1ci4ZIxSLr7RkQOGwBT8O9C9NwRXaB/q77bi+de+wYrV2xFbo4bLaJNW8kTqf8uPEdeMAAPPTAB53WPRtar72HT1XNRsP+gxHOI8LQgqltXtP7DNUicMRnWmGjj+vLyco+Ukpn4JgEKUN9sF5aKBEiABEjADwn0ePwupLWMRepnq1BelIvUTz5HxqJViL94NNreK0J0+KAqQnTssNOgf998tw8vvPUNli/bgly1iFrc1DXfJAxPCM+wEIy5qD9m3Tce53eLQsab8/HTVe8if/9+yVWFp1W62rsh6bZpaHn9pArh2SRFYqJ+R4AC1O+ajAUmARIgARLwVQJflURjyIv/wOD7d+Pws68j7dNVKBMhmrZ4CTIXr0b8pSORdNcMRI0aWkWIjhnWGfq3+of9ePF1EaJfbcGxnPzj40jr0aXuGR7HhWdYeAhGjRuAB++9EOd2jcTR197Hhsnvn7B4ale7BZE9u6HNzOvQ8joRntFRVYrnkGTSMvPwxYqdGD+qXZVz3AkcAhSggdPWrCkJkAAJkEATE3jp+f9i94EcTL1uNG7712wMmrUXh/71JtIWrhAhmiNCdKkI0TWImzBcuuZvQvSYISJEgytKNXpIJ+jf2o0H8PTLy7Fq+Xbk5RV4WYg6hWcoRo8fiD/dfxHGtg87LjwnzUHBoUNG+U0y2SmiexejXonXXQ5LZIuKeumGCs/k1By88t56vDdnLexlJRj/9b1V4nAncAhQgAZOW7OmJEACJEACTU3AasHhw5n4x98W4P13v8HUaaMx83+fwqD79uHQc28hfcEKlBZlI/2/y5D137WIu1CE6D03InrssCpCdMTAjlj81k1YIxbRf722El9/tRV5OSeEqEzm8UhQxSiz2sMiQnH2RYPw0H0XYnS7UBx9VSyer4jwPHxYiiFd7TAbs9rb3nE9Wk6/qlbheUSF5zvr8N7ctTh8SCYemc1o2y7OI9VgJr5JgALUN9uFpSIBEiABEvBXAupaSURZcnIW/jl7Aea89w2umToatz/9BAbedxMOPS9C9MOvjwvRL75C5hdrET9eLaLTEX32CJhCfreIjhRr6MghM7Bmw36ZrLQKX0nXfK4KUYv8fDeVEFXhKW6dwluE4ZyLBxtd7aPahSD9lXex4d8foCBZhac6dxLh2bMr2v5xOlrecCUsEeHGcec/msxhEZ4vvbUGc+atx5HDx4UnKnkFcMblZ+ARoAANvDZnjUmABEiABDxBQCcSyV9KSjae+d9PMHfON5hyjQjRJx8Xi+gtMkb0TaR+uBylhVlIX7ocmUvXIW7cMLS5ewZizx1ZVYgOFiE6eDrW/XQQz766EsuW6mQlGSPqTiHqFJ4RYTj3siF4+L4JOCvRhLRX3sMPr36AwuRkg5ohPHt3R9s7bjguPMPDqtDUZA4kZ+Plt9Zi7vz1SD5y1LB4UnhWwRTwOxSgAf8VIAASIAESIIEmJXBCiKamHsNz/1qIuXNFiE4ZhTueeFSE6E048vzbSPngS0OIHl22AlnLvkPs+UPQbtZMxJxzlohMS0Xxhg/ogOGv3oDvNh/Ec/9ZjaVf/oScbBGiIvpOOahiLClDi6gwnD9xmNHVPixeJgqJxfOHV+ehMDVFktaudplc1KcH2t45HYnXXQFTWGiNLJPTcvHMq99gjgjP1CMZhgCn8KyBiQeEAAUovwYkQAIkQAIk4AkCJ4RoeloOXnj2U8yb+y2uvGo47nrsEQy6ZwaOvPA2Uud8iRKxiGZ8tQrZX32PuAvOkjGiNyP2vJHyi/27EB12ZgfM+880/LBljHTNr8aSRd+jRMZrNlSJlojwDA8NwoWXD8Osu8djaIIJKWKZ/eGNj1CYnmpQUYtnZN+eaHvXjUicOrFO4fns69/i/XlrjwtPGeOJSn5PPYGXefgXAQpQ/2ovlpYESIAESMCXCahzdRk/efJgQnpKJl75XxGic77FxCvOwu0PPIA+t92AtH+/g6Nzl4kQzUD6l1/h6JffImHsEEMARo8fC3Mly+OQfu0x9+Vrsf7mUfhh0yFZ/bP+P+tq+Jx65RAM/dtVGBHnQPJL/8b6Nz5GcU66Mb7ThCBEndkLSTLGM/Hay2GSlY6qh1/3Zoj/0jWY9+E6ZB4Si2eQiGQV2nZJ3H4SDraTnK+eGfebFYH6f1ObVbVZGRIgARIgARJwP4HefTqizBTSoITLZb327dv24Ymnj+FasYhe9NLfZBzojUh7/QPkb99liLny0lIcfuldFOz6Da1kpnlQqwRdc7Min7P6d4D+NSTo5feLcC1cvhq7np6HkkPJiOjbHRGWnjBHRiBxyqVIuHJCFX+lzvRttnIs+3YP3vzgOxwS4dm9exIsvdo5T9frMyGu6qSlel3ESM2GAAVos2lKVoQESIAESMDbBP730UsRGlpzbGR9yqWirsxmR0iwFeY+PdH5+cerXiZGRUdxsVgZ5ae7kvisGqmBe2IGDRk+GD3Gyuz7Sl38J0vFIuNSdQWncaO6itX196EBJ7uu8nldipNrwVcmEljbFKCB1d6sLQmQAAmQQBMScBSXSM+z/ZRyUOdNhu3UVgaXKZSXypSgUtd5iLAUvSpd6dWDHJFz9nxZ7vNE0Dhabo3fkGDIbBlx4LKsLhJ06BgAhoAlYJIvQLP8BhTrW2IAhCDxp2aSN+FS6Z5h8B4BbYOQkBCjHez2U30ce6/8zSln3hN1t+ax3BKUlDR+3J2ueBMbEyqTm1Uy1R7qfU+I1c+enSOJuOGnSKxy5riY2gvkoaOHHp6Ngh82eyi3urMp3LEfNoNrdQnqgDUqEuF9Tqv7Yg+d0WEEXea+5KHcfCMbtY7r73Ug/E7YZIxvREREneCbrQU0Ozu7zko3pxMxMTHiocOCQKmvr7adtkFiYqIsmZfHlwEvN1J0dLQxEYP3RM2GuPa2L7Hy28M1TzTkiMOOYJndvHThNIwe1k7mm1QXOFUTC660zGTVM8f3yrbtQNY5U4HissY7Vm/XGqbl79aWjceO5WzZgYJ1P3ksv7oy0pnrArSW0ybYcvOQ4wNlDGrbJqB+u8ziGUAFaH5+vrwIltTSNs3rkBplXIVmK0BdVZrnSIAESIAESKBpCFjEPuzrP61qw/Z+GdWvKEPgEqjt9ShwabDmJEACJEACJEACJEACTU6AArTJETMDEiABEiABEiABEiCBygS8b4OvXBpukwAJkAAJkIBfE9DZ526YUNVIBtrJ7ir4Qhm9T8kVIZ5ragIUoE1NmOmTAAmQAAkEDgEZ1mjyhaGN4ty+NidMxxtC1nX3gTL6QhkC54vpezWlAPW9NmGJSIAESIAE/JRA5IA+CBX3eN4O+Rt+RmmmeIMxPC1WtoY6EBQThciz+nm7iLDEx3q9DCyA9whQgHqPPXMmARIgARJoZgQ6Pn7/Ka+E5E4U28ZPQ+nydYA4iq8cxAU9wnp2RJ8l71Y+7JVtroTkFew+kykFqM80BQtCAiRAAiTg7wSKxNF/WXkDfTyeGAxpt8uGGCsjW4RCXEbWGhxlZXCUyp9zDRm9Vhe/kOsssn57xRKdmlZdwdW5E9cYeRQWSaJmGdEqiZ8wopqkYGbx7+iQ43n5suqT5G1xFvZEnLqyrX7c4aimjqtH4H6zJkAB2qybl5UjARIgARLwJIEH/rIIG7YcqX+WohMN3WlyoFOnlrh+8iCMH9MTkRFVnXirICwvKETmgv8ibf5nsGcckzxEeDrMCOnWAUk3TEboOaMREh5c/7wlZklpOawiJi2WquqxPK8AaW/NR+Z/v0a5rKhkkgUHVNKG9+iC1n+4Fi2G9se6n5Lx2ntrsPu3VDhkzKnZuT591aTqLE9iQgu898IVdZ7nieZNgAK0ebcva0cCJEACJOBBAvv2pmDb5r31ylHWwkawyYzE9vG47NKBuOmas9CnZytDEDoTMIRnbgEyFnyO1DfmIuennWL9LIU52ILQlkloPWUC4q6fjPXHTNj0znrcdeMIhIbU76ddjajPvrYa/c5IwpghnREiK1w5hag1PgZJ99yEiH69kPzKu8hcvh7lJTnI3bwd6fO/QvzE0Rhx143o+qfxeP3DTfjoo/VI3p+GUrGIOpxC1FmJOj7bJkXXcYaHA4FA/b6lgUCCdSQBEiABEiCBxhKQZXkR5OKnVUSfSZcztZrRtl0CJl46CH+Ydha6dIqvsqypITxz8pDxyRKkvP4+cjftEuFZDouIy/CkLkicejFib5yCH7OA+1/6Bss++wGde3fA7dcPA+opQFUnfvT5Jjzx+Mc498IBuPOWURg+qBNCTwhRk9Qjetxo4y/n2w1Ieen/kL1kLcqKc3B00ZfIWvQNEieNwZP33YS7p9+D1+ZtxAfz1+PA/lSU2lSIyjgCV9ZQqwtOjW0HXu/zBNj6Pt9ELCAJkAAJkIDfE6gkPNu1b4UrJg3GLVOHonOHWoRnbr6Iuy9w5JV3kLvlVxGeNhGeQQhv3xmtr52E6Osux4YsB17620os/2ozcnPyjd74ELGKulZ8NSmGiFgtlO79zxZ/j69XbMXZY/uIEB2NkYM7G5ZUi3TPa4geNdj4y123EckqRD9bg7KSY0hZuBRpC0WIXjoK/+/+m/GHKXfg33M3Yt5H63Bwf3r9hGjNYvFIABCgAA2ARmYVSYAESIAEvESgsvDs0BpXifC88ZohOE2Ep1nGVTqDWjzLxOKZvXAJkt+Yh7zNO2C3lYrwDEZ4hy5oI8Izatrl+CHDjheeWomVy7cgV4QqLPIzrm6fymzOpBr+qabQYBGiJWX47+cbsHLldowe2xt33TIGo7VrXkSqjhPVEDV8oPGXu/4nsYi+jazFqw0hmrp4GdIXf4vECSPwyEO34aYr78BbC7Zg3sdrcWCfdM2X1cMi2vCS8wo/JkAB6seNx6KTAAmQAAn4KAEVnjJJKFiEW8eObTD58iG4aeoQdGwbW014lqLsmAjPBSI83xThuUWEZ7lYPKUbPKpbV7S+XoTntVdiXUopXnpyOb75eqsIzwJAu6/d7W/UEKJBhkV06ZIfsXrVdowcKUL01tEYe1aXqkL0rAGIkr/87zeJRfQdZC5adVyI/nc5jn65Hi0vGY2H75qOW678I978ZBM+EIvogb1pKLGVy2Smk3TN+2iTsljuJUAB6l6eTI0ESIAESCDACZhkIk6w1YJOnZMM4akWz45JMVWFZ4kKzxxkf/wFkt/6AHlbd54QnsGIPO00tL7mUkTfMAVrU0V4PrYU36zchrymEp7V20uFqIjbwlIbln25Ed+u+VmE6OlG1/w5w7tWEaIRMhu+u/zl/7gVyS/8H7IWrkJpSTZSpWv+6Ger0fLikXhIhOjNl8/EW4u2Yu6H67D/NxGiarEVkc4QuAQoQAO37VlzEiABEiABNxMIEYtnjx5tRXgOxk1XD0V7meldpav9hPDM+FDcKYmbo7ztMqvdboM5SIRn125oPfUSRE+5HN/LGM9//eULrBErZJ64RDImNrnb4nmyup+wiBaJWPxq2U9Y8+0vOGtET9x961icO6KaEB3UF93ffRb5G7fhyDNvIFu65g0humgZjn7+LRIuGolZ98zAjRNvw9uLt2Hu/HUoUT+jDAFLgAI0YJueFScBEiABEnA3gZm3noNBZ3RC69aRv/vFFEufo7QUpVnZyPxQ3Cm99SHyf/lVnLjLrHYRlRHduqPV1MsQPXUi1qaU4ZXZq7D66y04ppOLdEa9p4VnDSjHLaJFNhtWLN+M9Wt2YNhZPcUiOhbjxnSrahEdeAZ6iBDN3bAJaa+8j8wTFtG0xV8hY4kI0QuG4z5x33TzBzOxYtOhGjnxQOAQoAANnLZmTUmABEiABJqYwLjR3X9fitMpPDOzDOGZ8tZHKNihwlPHeAYjqotMLpp6OSKvvhhrUkV4/vVrfLNq24kxnjJO0uvCszqsE0K0vFwmKm3B2vU7MHxYT/xRhOj4sd3Fj6hMVhL3Urp6UtQwmaw0pD9a/3ErUl8SP6KfStd8URbS/rsC6V+uQ+IFI3DJrdcgD4nVM+F+gBCgAA2QhmY1SYAESIAEPERAPLzrrPZSEZ4ZH3yK9Lc/Rt6OPYY7JXNQCKJ76OSiyxF+5cVYd6QELz/+FVZ/I13tuYUiOkXA+bx/zONCtLTcjlWrtmLd+p0YOqyHTFZSIdpD/IieEKKyRGfkkDMR+XZftP5pO9L+/S4y1CKanyFC9Gtkbd6JzhsWeqhRmI2vEaAA9bUWYXlIgARIgAT8loBDxngW7TuMox99jvS5n6Jwz35ZplLWS49sgYje0tV+9SUwXXAuVu3Lx5sPL8F6sSIW5BWL8FRR528/ySeEqEy6+lYE9Hfrd2HAwNNwx40iRM/ujoS4FrI0vcRRISpjRCNf/wda37kT6W/NMyyi5UGylChDwBLwt297wDYUK04CJEACJOD7BPK370KazAYv3L0PdvHhGdq7hxTahJZXjEOrGVejLKEl/vHScvHjuRUFBcXo0jleTotIa2wQ90ZdO8UZ40rLyspg7dwOoX17AuXSI66+QiWUS9e5AzYEde0IjaOhS8dYFPROEvGrTuwbGxwoysnFi//+Ept3HMIjd52HiGpr04f07ob2/3wECTdejZR3P25shrzejwlQgPpx47HoJEACJEACvkXAdlo7xD/3Z4isrBFy9MixDPxx2pnGX40IbjhQkH8MBTJ3KeaxexBzIr3o6Gjp1bciMzOzIoeMjAxj+x8Pn1dxzN0bxYW5KJZRBbWGVnGImnVrrad4MDAIyGATBhIgARIgARIgARIgARLwHAEKUM+xZk4kQAIkQAIkQAIkQAJCgAKUXwMSIAESIAESIAESIAGPEqAA9ShuZkYCJEACJEACJEACJEAByu8ACZAACZAACZAACZCARwlQgHoUNzMjARIgARIgARIgARKgAOV3gARIgARIgARIgARIwKMEKEA9ipuZkQAJkAAJkAAJkAAJeMwRvTq93bhxIzp16oQePXRliNrDnj17cOjQIQwbNgxhYWEVkTZt2oSSkpKK/e7duyMuLq5inxskQAIkQAIkQAIkQAL+QcAjFlAVjzNmzMCvv/6KBx98EAsXLqyVzn333YdXX30Vu3btwvTp0/HDDz8Y8Ww2G2bNmmVcp9fq35EjR2pNgwdJgARIgARIgARIgAR8m4BHLKDPPfccnnzySfTr1w9XXXUVbr75ZkyYMAHBwcEVdLZv346jR4/ivffeM46plXTevHkYMmQI9u/fj3bt2uHpp5+uiM+NwCVg3bodUbfd6RYApl69YJ79OHD66W5JLyYmBg6Ho3FpHT4Mxwv/hn3hYkmnkWlJCvmP/g9Kx5/fuDLxahIgARIgARJwI4EmF6BqvTwsP6h9+/Y1it2qVSuEh4cbFszOnTtXVOV0EQCvvfZaxX5OTg6Ki4uN/d27dxsCdOnSpUY3/Pnnn2+kURFZNtLS0lBQUGAcMpvNNc5Xjtuctk0mk1Edi8XSnKrlsi5W+U5Z5KWk8cEEU3QMzLZymGSdZHcEd7SDClhHZhZM+w9IkeyNLpalsBDuKFejC+KhBPT+1/sikOpcX7TO50V94/tbPLZ77S2mXMimdjaePKrPJg36GQjPp5M9b9zzq+uiBdPT09GiRQvjy++MFh0djaysLFQWoNogzjGfeo1aQrXbXYN23Wu3vFpQ9+3bh9dffx1vv/02EhISnEniL3/5C1auXGnsazqbN2+uOBcIG4mJiYFQzeN1jI2FLXBq2+ia6v1mCqTvxwliAXVP1PNbEhIc4g6junvSqCiziKOK7cZtWOVFvGUAftfrS433RH1JNW087SkLhFAoxg9XockFqKr88vLyKmVQq2hoaGiVY84dFZgPPfSQMWZUJyJpuOWWW4w/tZxq0MlIag2dNm2asa//3HPPPbj++uuNfRWzmZmZFeea80ZERITxNpWbm9ucq1mlblaxjreocsRHdpxd7yes0j5SKuTl5aEsQO4HZR6I90R9v2vlZWWwmhsr945b00x2OxylZXC4SE8tIC6HpEhRNB1TsPwU6c+Ei7TqU0d7AD3768PDGUeNQFbp5dGeRQbvEVBtEisGFP29LpN7sbkH1X9O3VZbXZtcgMbHxxtd4yoaQ0Lk7VuCWj+TkpJqlGfHjh14+OGHce+992LMmDEV53XCkVo7nRXp0KEDUlJSKs7rRs+ePavsVz9f5WQz2rHrw1se8qWlpc2oVq6r4vDFG/dIMuyfLIJpyGCYhg52XQEPn9UXwED6fmh9A+2eqO9XauyI1mid+PvY+/peVyWevGhZ5Ic0ujwXxYdENdbxwqVtoIYGffbrc6rWIHHsxYWwXzVBLAuSVmOnxcZEwR5Az8JamdZyUHsFtQ0C6TlQCwavH1IBqkGNcIHQFk7NVxf4Jheg+tY1dOhQLF68GJMnT8bq1auNNwB9C9CgE4xat26N/Px8Y4b8X//6V/Tv379KefUa7ZZXcaom3RUrVuDOO90zCaVKRtwhgVMhIGNIsXUHHA8+A9z/B5j6nQH55T2VlHgNCTQpgenX9nFr+nkuUlPrRwvpDi8Wg0NlF3o1LunQFqYH/1DjMA+QAAk0bwJNLkAV3+23317hfknfAB599NEKqjNnzsTs2bOxdu1aHDt2DHfffXfFOfXzuWjRIkO46gx4deWkM+V1EtKAAQMq4nGDBLxKQCbZ2T6cDxSLa7A1X8H+3VCYx472apGYOQmQAAmQAAn4MgGPCNCOHTti/vz5hsCsPvj2iy++MPjoBCMVqrWFqKgoPPXUU4b1U9+qT2bWrS0NHiMBtxHQIQBFRYB8L6UfBfaftgNzj7tMcqzZCNMX38AxsD9MkZHH42nGahGto6vSbeViQiRAAiRAAiTgJwQ8IkCdLKqLT+fx+n46x4DWNz7jkUCTENi7D+Wzpbu9YzuYBw+E/Y03RIgeO55VeSEcy/4LdEkSD54yAeP7DTBdchHMEy9pkqIwURIgARIgARLwRwIeFaD+CIhlJoEaBGRcs6MwH5j9T5RbZGJdqWxXBPHhuXUbHPc8KK5qZLbwQBkPetXlFWe5QQIkQAIkQAIk0Pg5h2RIAoFHQLrWTT27yaxdWSihUNya6CSkysEu+0WyKEKxCFOZYGdqW9PjQ+Xo3CYBEiABEiCBQCPQWKcXgcaL9SUByMoKMHU+TUgEnYSGVRzAtwESW54kHk+TAAmQAAmQQGARoAANrPZmbU+FgPowPHgI9hXHV9pCWCjMSe2AMJlk5CKYgmXiUes2MJ1Y9cKx/Wc4NskKXb7ox9RFPXiKBEiABEiABNxNgALU3USZnn8T0FW7ZJEDx/c/wCEuv4xQLI60v10Hxx8fhH2uuFtSZ8IJ4se2Y2vXdU2Q5dbaiPUzOBiONetgf/BRON6dD4dzNRL51PGistasMZvedWI8SwIkQAIkQALNhwAnITWftmRN3EJA1gbcsRvl19wmc9jF8tm9I9CuDRy7dgG7dsjEo2dhj4uF+TTpgu8ufzt/qTvXNq1EgLaCY/NW2J9/BY6vvpK0f4HjwH4ZO1oCx87fgIJiWO6bCdP9d9SdDs+QAAmQAAk0iIAtOR1FH/4XrW+5BiHtk1Bud8ijPQ3P/mclDuxLO56W1VJrmuoxr0NSLJ66fxyKnvs3jm3dJavEWhDVrxfsN1yDf87ZiN27DgPiFrJG0CWZpddMF+Hp0aMtrh57Grr+uhkpnyyHVVZ03DhoCF7cli+L74grP19xzeewY+b04Th7RJca1WnKAxSgTUmXafsfAYtYN1slAD3EjdK3a4D0/VXq4NgmFssHH4P90VkwdWwvrpZchJaSTnYW7B8sgOPjRRLRBsf+fbL8l/w5Qy9ZQvY06c4PPtl4UucF/CQBEiABEjgpgfwCFC/+CnsWf4PYy89F6+mTcXqPDvifByZg7oIfMe+jH/Dbb7Kkt13UZpA89ysF1YU9uxTBXuZA2fZdKFizARaTFaEWK+yFpdj8Sxo2bdgLUZm/X6U/BjIBNSgoGF26t8FlQ1rhvOJ9CP/zHKTkFCLuwrOQcM0kpOZZsfbNd5GX51sCdNJF7l0l7XcwdW9Vold3JJ4hgYAiEB8H07DBxwVojYqXw7FtCxyTb5YzVR9a1aM6lq6GY+l6OVwof7bqp419U/euYkmVPwYSIAESIAG3EciJScDKiTMwvOgIir5chV/mL0fsFWej801T8OBt52DqFYMwf8FGfPDxD9i9J7lWIVqvwlQSnl17t8PEwe1wbvFhRHz1AUx5xYi/eCQSr74Eob27IaXQjtX/tw5lJfJ74CvWz3pVsmkiUYA2DVem6s8EYmLFf+cgsW7qeu7iaqlGULdL4mbppEHecKF/dYVgoHMPmE7rXFcEHicBEiABEjgFAqlZBXjiwy3o1jEBF4+djHG2NBSv+Ba/LFgpFtGxIkSvxv23ny1CdCA+WLgRcz/egN2/ynLKtVhEa81ehafMGVCLZ/fe7TFpcFucXXgILZaJ8CwoRcKEEUicMhHBvU5DWpEDH87bhI8Wb8SOHUdQYpPV9GSQV6AHCtBA/waw/jUJyLggc1iEjAANk3O1CdCal5zKEROCYQ5uYUxSOpXreQ0JkAAJkEDtBGwy5jMztwjHfjmMXfszsLhjPC4eMxnjHakoXnlciMZcPgbtb7wa990mQvRysYgu+gnvf/i9CNFklNlkDkAtQYd4OsT3c7CMCe3RtxMuG9QGYwsPGMLTXFSGlhePQsurL0Vw985IKXBg/geb8MmnP2LnrmQUiDC16dwCN4hP0wkLqix9IgWqpaB+cIgC1A8aiUX0IIGMDNhf+T/Y//qsZJrdpBk7kI/yfz4D84EDMP3lXph0PCgDCZAACZBA4wmoUiwrR7mM48wWYbgxuwC/7kjGgs4tccHgibjQnA7H8m+R8clKxE8YiTbTr8Q9t4zG5EvPxMefb8EPmw+KNbR6MRwIkolHfU5vi/HdInBueSoils6FtbQccRNEeF51MazdOmNfZgk+fOt7fPr5RuzbeQQFMm7UpgZP40+GbtUx+al6brXua73K7WjbLgERUWE4fCjz+IQmizODWq/yyYMUoD7ZLCyU1whEyCpHQ/oBZ3QANmc1fTE6yESlYWfA1EYc1jOQAAmQAAm4hUBsXCQmTRlVJS2HLI8MkwNHQkLwfY8emDT1MkRu+gl5P23FsaWrEB8aih69uuHum0ejuLgMEaVF2FnJuqjXd+qcgNl/GIay5atQtrMUoVMuROxF5yKss0xKlUVKDmQUYsmavdh9OBuderRD5+7yWyJ5qvq0y2zzjNQcbNiwG6W22ucFVClw9R0pfmREqPyFYWT7EHSICcK35mj8lh6E3IISFJeUGvlUv8xX9ylAfbVlWC7vEAgNgWn8OFhlXKbtkceAjxZKOWq8BruhbGaZ6DQE5kcfNvLjgHQ3IGUSJEACJHCCQMe4ULw6rfZeJYdYEU1mK4ItNpgHnYHwvj3kKhNsObnI/1EWC5HtUOnXLso8hvJ8nUQqyk8Nqpn5KNv6M6LEFZ9pUF/YB/YWV0xW6ZK3oXD3XiPnePm5uKF7MK7vKi6NVO/KnzNot/7Xm5KxZZMIULHMVjnpjOTqU8odHdkCk06PxgVpPyPit8Po1bs/PolNxMqtMpGqxNXFvneOAtT32oQl8gUC3bvB+sIzKO/SDY7ZL0iJ9CHkriAi97JLYX7sAZjOFGsrAwmQAAmQgFsJlOw9iORp97tIU0ZPGobJSgrROFDpEunqLs3JE38nZmOYZaH4g/5l+oMiXqUb3bjsxLXVr5PDpuMRKiUmPediQU11RElap0kElV/gppuvAAAYVUlEQVRagIYEE1JSs/FdcDn6RoZgUKsY7MouxfeH01GQL/MVKlWlIal6Ky4FqLfIM1/fJ9C6FSz/cz8cXU9D+Z/+AmSIz7hGBlOkuHi6ZTpM994BU7u2jUyNl5MACZAACdRGwF5ahuKUE6vZ1RahQceOK7tyWUa5PP3UhmZpCtrpXhZkhyPm1HvV1HpriYjAyoSWWFFUhNKQUIRkZMEhk66gfqz9KFCA+lFjsaheIBApY0KvvwaWzh1Rfv9DMi5Uu2dOLZg6doJplkw2umEaTBEy+52BBEiABEigiQg4ZPCUujtqTFA7pqWSNVPTVDd8DbVcHi+DdPw3vkzSp//L/kzs2O9AaakNwaFBMmNfymRMQqpUVy3iibGnlY761CYFqE81BwvjkwSCgmA6Zwys77wO2x/vBXSFpAYGU8+eMtP9/8F81RXH15Jv4PWMTgIkQAIkUH8CIQlx6HLjVXVeoAZDm6xcZNcNDSLsTGYRm2JFVCujQ3x82guLkL3mR5SkZBq92yFidYwe2x+WMPURrUGvEdumjAM1xJ7tuMS0SBd9dT2oFtBSMXweOFoO009iC5W4pxLEfoq8wuLjEljKWSzi83hKx620mqa6aAoJCRKrqB0lYrXVcvpioAD1xVZhmXyTQKwMPD+9Zx0rJJ2kyO3bwdShHcXnSTDxNAmQAAm4g0BJfAL2XXtTjaRUrJWJEgwKEj+eXeLROkoWBJGgXdi2zCwU/XYAVlkaOfz0rijNK0TxjPulKz9d1oK3Iqx7J3T+20MIltXyjKBjRDOzUSzjTc0i+EI6tsOx0Ajs2puF4qJiI4/KY0FtIgjT1L3T1mVaCFWKx9Op8e8JcWrM2q92Uk6dOCsnTMfHsVaOUu5AeEQwzuzTHgW5hdgsrqdOsmhf5as9uk0B6lHczMyvCaQfheMbXVozWMaPhwP6EOrUCujcAWgh+5t+BjrIuM7YKGDvAVnzPQWONBkvVJwH/LwLDvkznTXMxUPHr+mw8CRAAiTgMwT2HszEtXfP/708OlFIrI4WWfe9Z/ckTJ1yFgYO6wprqBkFO3Yj9Y15yF2+DuEdWqHg7HOxLdWCC4Z1lOXefx9XaRbRmlXswA8bktG7W0v0EJdMjpISZO3cjfSPl8JeUA7zBcOxM6k3Pt6Qip3bDsCmQtNIQ8SmFKFYxqYWSte5K/FpFT+hIdLzZpPZ9SXiY7S+Bswgsd726tEKo9qHYUBRMvKTwvFVQhes2HQYheIEv77p/A6tabcoQJuWL1NvLgT04SUWTPPzT8PUUnx3JrWBKU4EqDwkjHD4COwfLYBp8CCYRg4/fky6cJCbC0eKCtGj4uuztTyAJJ0633qbCyzWgwRIgAS8S0DHRaal5UghpN+7zC5C0oLT+3bAzVNH4mpZfjMq2ILyXb9i10tvI2fpGoS3jUfxpRMwz9YSixbsRZD1CEafea08rn+3Uup2RmYBZr/wNfLSczFp8hBMv3Iwut1xA+IvG4e0dxbg6If/Rf+iL9D3/JFYN6kPPvghDds3/4ZSEaoQJ/Yun//iJ1T76eOiW6CPrCuflpwttguZ/CrCV0ywJwVaJhbZg2m5Ej8HZxTuwe6gGOQ5OqBEfJr6mvjUylCAnrRJGYEEhIA+hFq2hHncebXjkDdVR5asnFRa+vt9rg8b7bY3uu5rv4xHSYAESIAEmoCAvuyX2WANsqLvwM6YcZ0Iz4kiPMVmYNv5Kw68eFx4hnVMhG36VLxbFodPvt6Lwwf2GJN6uncXg4G6W6oe5FCZWFJ37TmC559bgkWfbsSlFw/A9KsGo8f/uxOtbrgSR99bgLQPPseYwm8x4oJRWD90BOb9mIatm/agpEgtovLbUD1IeaNjItG7YxyGRtlwOg7hSNswtEnshp8PHUNqSnalrvfqF5/YlzTKxMJ6JCoJn3dpj4wSGS+6L1eWrBdhW0lI13G1xw9TgHocOTNslgTU2llQIE82+WQgARIgARLwKoHw8BAMH94T06YMw5WXDUC0qJ0yEZ77nn8TuUvWI6xrK9huuR7vFMZg0bLfZEnLX1Eqz3GHCDWTzCCqPHazekXUFqnxCsWyulPWjT/wYio+XbwRl13SHzdMHoyeD/8RiddfgaNzFyF1zmKMzFuN4eNGYv2twzHnu1RxRL9HJkCJQK4cJNGSIrGS2srQM+cI+m/7CXHtu2JbQk8U5BWd8Fla+YLatk0oF2f33/5yFF+X2GRulEyoknTVclstt9ou9vgxClCPI2eGzZKACk9DgDbW7UezpMNKkQAJkIBHCfQUgbnso9uhg6TKf96Jwy+/jaxl6xDWqQ1sM6/HWwUx+GzJbhw+vEOEp84tN5RalTKGSNd3iRy2Sje+2iytZnF9JOMszc7ucDmn1xXKqka79qTghRfTsGjxT7hkwgDMmDIYvWbdjsRrL0f2h4uR/sFijF69DiEde+Kh4BDkF6tX0MrBZCz/uSclH7/1aoUu547CnrIw7N5fjLzconp1wWsVimV8qf5pUC9MKkB9NVCA+mrLsFz+RcCwgMpqSbSA+le7sbQkQALNkkCpWBMztm1H9vxFSP/8a+SbgxA26UqsCW2LT5f8ihQXwlOBFEv3/cZfUlFQYkUOIuWIBdElZtj3ZMqEHll1SNWeM5wQokXSNf/rb6l46d9Lsfjzn3Dhhf1x2YVnIPrCiSjuNQDpC5fity83oLxMJquaQuTqanZJUYwh4cFYUdgCnxyWEVwxYSgLLhXBaxbvo9XiOvN28enL4lOLTQHqovF4igTqTcApQPWTgQRIgARIwKsEft17FNNufAumwjyU27uhJCQC9iWp0s198HhXey0WT2eBdfjo/kNZuOauOdIvHgdHy1HGKdNv4hP60UUoku5tY0KR8wLn5wkhWiwW0d17U7HvP1/izXdWiIC0Sm6SqLhhKkNnFIsltab/JEnEZMZhGeuZnJylUWE+dNyC2XDp6SyQb39SgPp2+7B0/kJALZ+yZrBOQmIgARIgARLwLoFSGWOZIj3XUOuleoVXx+82GWOpQlDGRJ4sqBP3Ah2TaTjRPDEZSe0LOolIg6skTgjRMvHJWabuj+D8XXBe5Pw0Uqryj/ojNcwYEkUur2EkrRLZz3coQP28AVl8HyHQqQNM/28WTN26+EiBWAwSIAESIIHjQtFpQ3R+eohLDZ3p4fw9VM1TzYYC9FTJ8ToSqEwgNgbmc8+ufITbJEACJEACJEACdRCgAK0DDA/7MAHxr+mIktWGGh3k9TSiBRwywFu7WxobdKC43Q3paPeQQ9YaPl7HxpfL4XSW39gK8noSIAESIAEScBMBk0OCm9LyqWSKi3WWWvMPQSIu1MdXKcceerWxtQ1CQkKMdnCLCPVqbfw7c94TvtF+vCd8ox20FIF4T2zceggjL37OdxrBl0siKzD9559TcMPVQ91aSl1KNCIios40m60FNDtbVqUJgBATEyOT8SwIlPr6apNqGyQmJiIvL48vA15upOjoaFl2z8p7wsvt4Lwn8vPzUaLLEDJ4jUAg3hP6LGaoP4EC8WPtbh2hRhlXoZZ1plxF5zkSIAESIAESIAESIAFvEjBWaqoxycmbJWp43hSgDWfGK0iABEiABEiABEjACwRk1KT4m27XJgY9eyQhQpYclUkMUg7/G03ZbLvgvfCtYJYkQAIkQAIkQAIk0CQEdAnQYKvFcGzfv2UITmsVgi8LwrFf1n+3O8pRIp/+pEMpQJvka8JESYAESIAESIAESMBdBBwIMlswqE87XNjOgj67NyFsezaGdu6K9X1Ow2e/HMP+A2miP/2nX77ZzoJ3V5P7ejoPPPCALNuVjLlz5/p6UZt1+Q4cOIDx48fjjTfewIgRI5p1XX29cg8++CAOHjyIefPm+XpRm3X5Dh06hHHjxuE///kPxowZ06zr6uuVe/jhh7Fnzx589NFHvl5Ut5bP7mNOflJSUnDeuefipZdfxtlnn5rfaKe8dH4qMGfnu/PzVCCaxZOLpwMtoJ4m7ub81OUP3f64GeopJKfezLQdmqlXs1Mg4r1LtA3KZYwUg/cJ8Nnk/TbQEgTq74Q3RJWrFleJp22hn+4sm1M6Oj9dlcGXznESki+1BstCAiRAAiRAAiRAAgFAgBZQP2/kM888Ex06dPDzWvh/8Vu0aGF0wSckJPh/Zfy8Bv369UObNm38vBb+X/zw8HDjnmjZsqX/V8bPa9C3b1/DT7GfV8Pvix8aGmrcE+ozmgHgGFB+C0iABEiABEiABEiABDxKgF3wHsXNzEiABEiABEiABEiABChA+R0gARIgARJwK4HvvvsOb775puGhw60JM7FTJpCVlYXVq1ef8vW8kATcTYAC1N1EmR4JkAAJBDABdffz+OOPQ8e7BQcHBzAJ36r64cOH8e677/pWoViagCZAAeqHza8uZvRhor4ObTZbRQ1ycnKMffULytD0BLQdtA2qu/xRS4P+CBcWFjZ9IZiD4frqyJEjSEtLq0FD74Xq90mNSDzgNgL6PNLvfteuXXHxxRcjJiYGBQUF0GfTsWPH3JYPE3JNoKysDOqbWJ9Nubm5VdzDlZaWYt++fdBPhqYloN97Dfpsqvx80jbJzs6u8heILss4C75pv39uT10fHH/+85+NGY2ZmZkoKSnBa6+9hqioKFx//fXo0qULdu7cidmzZ0NnPjI0DYGtW7fif/7nf9CtWzfjwXLXXXdh0KBBRtvogyY6Oho7duww9umYvmnaQFPNy8vD/fffb7x45efnG9//v/3tbzCJU+VHH33U6ALWeyM1NRXPPPMMWrdu3XSFYcrGi/GHH36I9PR0PP/885g4caLxqeLTarUaiwNo2zA0HQHtZn/66adx2mmnGeJfv/vORRkyMjJwww03IC4uDrpQgMbr1atX0xUmwFOePn06zjjjjAoBqs7n7777bvzrX/+CGio0qEjVF+hFixYhMjIysIiJ02YGPyKwYMECx2effVZR4ptuusmxYsUKY//SSy916Hl5k6o4z42mIaCs169fbyT+yy+/OJ544gmHWH6MT2eOc+bMccjLgnOXn01AQB7ajn/84x9GymJ9c8jKYA55OXCIhcFx3nnnOYqKioxzixcvdmzbtq0JSsAkqxP45ptvHPJSYBzesmWLY+zYsQ4RpA6xxlWPyn03ExCDhOP88893iBHCSFl/G0aOHOkQkePQttBtMWIY5+RFwTFz5kw3l4DJVSYgL2AOGQttHJLeGIesCFblPtDn1LXXXlvxG1752kDYpgXUz9431KKgA/xff/11o6tLu+LVCuoM6heUFgYnjab5VAundq8PHDjQyEAtCI888oixLQ8Tw9qwe/dubN++HZ06dWqaQjBVg8DKlSuNz6eeesr41G6tVatW4c4778TQoUMxefJknHXWWRg9ejT69OlDal4gkJSUBPoC9Qz4vXv3Gr1hPXr0MDIcPnx4lXG4+jxyPpO0Z+aVV14xVuYxmzkar6laSNtAg/omFlGJ4uJiqI9cHQKhS6RecMEFp7wsZ1OV2VPpUoB6irSb8tFuLX3ITJgwARdddBGeffbZKimHhYVV2eeO+wnow0Mf2PowcQYdGqFdKmIJxZQpU3DFFVdAHaKvXbvWGYWfTURgyJAhBmtn8s5urCeffBL79+83Zv7qfaMvBTNmzHBG46eHCPCZ5CHQko12revLsY79tFgshnFCx4M6Q2WhqYYLfTmofMwZj5/uI+B8HmmKTuOQ/nb8/e9/R9u2bXHddde5LzM/S4mvPX7WYDr2UAXO+PHjERQUZIz3rD4Jxs+q5HfF1QeKjutxisuNGzcaY25//vlnYxyotk/Pnj0hXfRVJon5XUX9oMDnnHMOZAgE1OLTu3dvzJ071xh7qy8D06ZNQ6tWrYyx0ZMmTTImI/lBlVhEEjhlArrCjoqaZcuWGc+ehQsXVnlR1olJ+pzSsHz5ckiX8CnnxQtPnYDO29Bn1KxZs049kWZwJS2gftaIU6dOxcsvv4yPPvrIeJsaMGCAMfDfz6rh98XVCV9/+ctf8M477yAkJAQ6CUmX4dSJSXfccQfU6tC/f3/IeDi/r6svV0AFqDK+8sorjRnXnTt3hoz9NKw/48aNg4yRhi6Tqt1ef/3rX325KiwbCbiFgE7K00moMgbd6CnTRHUCmAZdtlkn6emMa31u6SQkBs8S0GFC77//vjEs5eqrr654QdDJxfqbEUiBS3H6YWvrw0Nn/OrsXgbvEtAZjDrjvXLQY9o2zu6Wyue43TQE1NWP/sjqj2rloF1d6vKkehtVjsNtEmguBPT7vmTJElx44YVG17qOV9cu3i+//LLK80i9EqiLLAYS8CYBClBv0mfeJEACJEACJOBGAmrp12FZOizl66+/hvYS6ORIBhLwNQIUoL7WIiwPCZAACZAACZwiAV0MQMd57pcJeDoW3Tkj/hST42Uk0GQEKECbDC0TJgESIAESIAESIAESqI0AZ8HXRoXHSIAESIAESIAESIAEmowABWiToWXCJEACJEACJEACJEACtRGgAK2NCo+RAAmQgJ8Q0Fn+DCRAAiTgbwQoQP2txVheEiABEjhB4I9//CNeeOEF8iABEiABvyNAAep3TcYCkwAJkMBxAt9//z1RkAAJkIBfEqAA9ctmY6FJgAR8hcB7771nOPvW1bEWLFhQZfnVdevW4YYbbsD555+Pu+++G4cOHaoo9rfffosHH3ywYl83Fi1aVLE6zXfffYennnoKP/74o7Gi00UXXYR//etfho9Hjavb6mrn008/NdaV1rW9b7nlFmzYsAFXXHGFkbYu+ffss89q9Ipw8OBB3HrrrYaD/oqD3CABEiABDxOgAPUwcGZHAiTQfAjocqy6DGubNm0waNAg3HnnncZSuVrDzz77DKNGjYKujKWCcO3atTjjjDOwd+9eA8DOnTuNtesr01CxuXjxYuPQ7t278dxzzxnitn379hg2bJix1KuKUg3q41GXGdW1v08//XRj+dc33ngDulyvrgilq93oily6PGzlcaK6fOzmzZu5kppBkf+QAAl4iwDXgvcWeeZLAiTg1wRSUlKM9eV1LfrRo0cbdUlKSsLChQuN9Z1VmKoYVAuphttuuw26Vv0jjzxSQ3gaEWr5JyMjAytWrDCEq54+cuQIvvrqKzz66KPGOt+PPfaYIXwvu+wyY3lejXPllVcaFlHdLi4uxsyZMw3L7IwZM/SQUZ577rnH2OY/JEACJOAtArSAeos88yUBEvBrAps2bTIsjWrldAYVf3PmzDGsj9o9rt3mlcPFF19sdKlXPuZqOywsrEJ8arwOHTpUCM26rhs6dGjFqdDQUFxzzTV4//33jWPr16+HdsFPmTKlIg43SIAESMAbBGgB9QZ15kkCJOD3BNLS0qAC0WQy1aiLdn9r0O7xyqFVq1YVYzj1uMPhqHza6EavfCA8PLzyLsxmc41rqkSQnfj4+CqH1PKp3fdqPVVr7CWXXIK4uLgqcbhDAiRAAp4mQAuop4kzPxIggWZBoEuXLoalMz09vaI+ahW99NJLkZCQgODgYCxdurTinG58+eWXOPPMM41jOk4zPz+/yvl9+/ZV2XfHzuDBg9GrVy98/PHH+OSTTzB9+nR3JMs0SIAESKBRBChAG4WPF5MACQQqgeHDhxuTf3Rsp04sOnr0KP785z+jZcuWiIyMNGaaa9f3kiVLUFRUhNdffx06s33y5MkGsu7duxuTg3RSUFlZmTH56PPPP28QTrV27tixAzoe1VVQK+js2bMNa+0FF1zgKirPkQAJkIBHCFCAegQzMyEBEmhuBKxWqzG5R10rqZjs1q2bITz/+te/GlX9+9//brhfUotobGysMWHpxRdfrBh/qd3iOmv+pptuMrryH3/8cfzpT39qEKaJEycals0hQ4a4vG7atGnQCU36qeVmIAESIAFvEzDJGKSqg5C8XSLmTwIkQAJ+RiAzM9OYkBQREVGj5OqfU62j7dq1q3FODxQWFiIvLw86PvRUQmlpqeF7tPp40cpp6TABdeW0ZcsWw31T5XPcJgESIAFvEKAA9QZ15kkCJEACHiCg/j/V36haXlNTUw0XTh7IllmQAAmQwEkJsC/mpIgYgQRIgAT8k4B2u2tXf9euXbFs2TL/rARLTQIk0CwJ0ALaLJuVlSIBEiCB4wTUGb36A2UgARIgAV8iQAHqS63BspAACZAACZAACZBAABDgLPgAaGRWkQRIgARIgARIgAR8iQAFqC+1BstCAiRAAiRAAiRAAgFAgAI0ABqZVSQBEiABEiABEiABXyJAAepLrcGykAAJkAAJkAAJkEAAEKAADYBGZhVJgARIgARIgARIwJcI/H97loaSxLAUUQAAAABJRU5ErkJggg==" /><!-- --></p>
<p>Note that such grobs need to have <code>x</code> and <code>y</code> slots, which will be mapped to the appropriate location. It is therefore often necessary to create a wrapper with such fields, as illustrated below.</p>
<p>Because the grobs are manually “mapped”, independently of the main ggplot, this geom also allows the placing of arbitrary annotations without interference from transformed coordinate systems, etc.</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" data-line-number="1">custom_grob <-<span class="st"> </span><span class="cf">function</span>(data, <span class="dt">x=</span><span class="fl">0.5</span>,<span class="dt">y=</span><span class="fl">0.5</span>){</a>
<a class="sourceLine" id="cb13-2" data-line-number="2"> <span class="kw">grob</span>(<span class="dt">data=</span>data,<span class="dt">x=</span>x,<span class="dt">y=</span>y, <span class="dt">cl=</span><span class="st">"custom"</span>)</a>
<a class="sourceLine" id="cb13-3" data-line-number="3">}</a>
<a class="sourceLine" id="cb13-4" data-line-number="4">preDrawDetails.custom <-<span class="st"> </span><span class="cf">function</span>(x){</a>
<a class="sourceLine" id="cb13-5" data-line-number="5"> <span class="kw">pushViewport</span>(<span class="kw">viewport</span>(<span class="dt">x=</span>x<span class="op">$</span>x,<span class="dt">y=</span>x<span class="op">$</span>y))</a>
<a class="sourceLine" id="cb13-6" data-line-number="6">}</a>
<a class="sourceLine" id="cb13-7" data-line-number="7">postDrawDetails.custom <-<span class="st"> </span><span class="cf">function</span>(x){</a>
<a class="sourceLine" id="cb13-8" data-line-number="8"> <span class="kw">upViewport</span>()</a>
<a class="sourceLine" id="cb13-9" data-line-number="9">}</a>
<a class="sourceLine" id="cb13-10" data-line-number="10">drawDetails.custom <-<span class="st"> </span><span class="cf">function</span>(x, <span class="dt">recording=</span><span class="ot">FALSE</span>, ...){</a>
<a class="sourceLine" id="cb13-11" data-line-number="11"> <span class="kw">grid.rect</span>(<span class="kw">mean</span>(x<span class="op">$</span>data<span class="op">$</span>x), <span class="kw">mean</span>(x<span class="op">$</span>data<span class="op">$</span>y), </a>
<a class="sourceLine" id="cb13-12" data-line-number="12"> <span class="dt">width=</span><span class="kw">diff</span>(<span class="kw">range</span>(x<span class="op">$</span>data<span class="op">$</span>x)), </a>
<a class="sourceLine" id="cb13-13" data-line-number="13"> <span class="dt">height=</span><span class="kw">diff</span>(<span class="kw">range</span>(x<span class="op">$</span>data<span class="op">$</span>y)))</a>
<a class="sourceLine" id="cb13-14" data-line-number="14"> <span class="kw">grid.lines</span>(x<span class="op">$</span>data<span class="op">$</span>x, x<span class="op">$</span>data<span class="op">$</span>y, <span class="dt">gp=</span><span class="kw">gpar</span>(<span class="dt">col=</span>x<span class="op">$</span>data<span class="op">$</span>col,<span class="dt">lwd=</span><span class="dv">2</span>), <span class="dt">default.units =</span> <span class="st">"native"</span>)</a>
<a class="sourceLine" id="cb13-15" data-line-number="15">}</a>
<a class="sourceLine" id="cb13-16" data-line-number="16"></a>
<a class="sourceLine" id="cb13-17" data-line-number="17">d <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">x=</span><span class="kw">rep</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">3</span>, <span class="dv">4</span>), <span class="dt">f=</span><span class="kw">rep</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">4</span>], <span class="dt">each=</span><span class="dv">3</span>))</a>
<a class="sourceLine" id="cb13-18" data-line-number="18">gl <-<span class="st"> </span><span class="kw">lapply</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">4</span>, <span class="cf">function</span>(ii){</a>
<a class="sourceLine" id="cb13-19" data-line-number="19"> <span class="kw">data.frame</span>(<span class="dt">x=</span><span class="kw">seq</span>(<span class="fl">0.4</span>,<span class="fl">0.6</span>,<span class="dt">length=</span><span class="dv">10</span>),</a>
<a class="sourceLine" id="cb13-20" data-line-number="20"> <span class="dt">y =</span> <span class="kw">runif</span>(<span class="dv">10</span>,<span class="fl">0.45</span>,<span class="fl">0.55</span>),</a>
<a class="sourceLine" id="cb13-21" data-line-number="21"> <span class="dt">col =</span> <span class="kw">hcl</span>(<span class="dt">h =</span> <span class="kw">seq</span>(<span class="dv">0</span>,<span class="dv">300</span>,<span class="dt">length=</span><span class="kw">nrow</span>(d)))[ii],</a>
<a class="sourceLine" id="cb13-22" data-line-number="22"> <span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
<a class="sourceLine" id="cb13-23" data-line-number="23">})</a>
<a class="sourceLine" id="cb13-24" data-line-number="24">subplots <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">f=</span>letters[<span class="dv">1</span><span class="op">:</span><span class="dv">4</span>], <span class="dt">data =</span> <span class="kw">I</span>(gl))</a>
<a class="sourceLine" id="cb13-25" data-line-number="25"><span class="kw">str</span>(subplots)</a></code></pre></div>
<pre><code>## 'data.frame': 4 obs. of 2 variables:
## $ f : Factor w/ 4 levels "a","b","c","d": 1 2 3 4
## $ data:List of 4
## ..$ :'data.frame': 10 obs. of 3 variables:
## .. ..$ x : num 0.4 0.422 0.444 0.467 0.489 ...
## .. ..$ y : num 0.469 0.452 0.491 0.498 0.492 ...
## .. ..$ col: chr "#FFC5D0" "#FFC5D0" "#FFC5D0" "#FFC5D0" ...
## ..$ :'data.frame': 10 obs. of 3 variables:
## .. ..$ x : num 0.4 0.422 0.444 0.467 0.489 ...
## .. ..$ y : num 0.527 0.471 0.481 0.547 0.508 ...
## .. ..$ col: chr "#FACABC" "#FACABC" "#FACABC" "#FACABC" ...
## ..$ :'data.frame': 10 obs. of 3 variables:
## .. ..$ x : num 0.4 0.422 0.444 0.467 0.489 ...
## .. ..$ y : num 0.469 0.478 0.459 0.471 0.548 ...
## .. ..$ col: chr "#EDD0AD" "#EDD0AD" "#EDD0AD" "#EDD0AD" ...
## ..$ :'data.frame': 10 obs. of 3 variables:
## .. ..$ x : num 0.4 0.422 0.444 0.467 0.489 ...
## .. ..$ y : num 0.477 0.46 0.462 0.549 0.549 ...
## .. ..$ col: chr "#DAD6A7" "#DAD6A7" "#DAD6A7" "#DAD6A7" ...
## ..- attr(*, "class")= chr "AsIs"</code></pre>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" data-line-number="1"><span class="kw">ggplot</span>(d, <span class="kw">aes</span>(f,x)) <span class="op">+</span></a>
<a class="sourceLine" id="cb15-2" data-line-number="2"><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>f, <span class="dt">nrow=</span><span class="dv">1</span>)<span class="op">+</span></a>
<a class="sourceLine" id="cb15-3" data-line-number="3"><span class="st"> </span><span class="kw">coord_polar</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb15-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>()<span class="op">+</span></a>
<a class="sourceLine" id="cb15-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_custom</span>(<span class="dt">data =</span> subplots, <span class="kw">aes</span>(<span class="dt">data =</span> data, <span class="dt">x =</span> f, <span class="dt">y =</span> <span class="dv">2</span>), </a>
<a class="sourceLine" id="cb15-6" data-line-number="6"> <span class="dt">grob_fun =</span> custom_grob) </a></code></pre></div>
<p><img 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" 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