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<!DOCTYPE html>
<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>Tutorial · Makie.jl</title><link href="https://fonts.googleapis.com/css?family=Lato|Roboto+Mono" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.11.1/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL="."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="assets/documenter.js"></script><script src="siteinfo.js"></script><script src="../versions.js"></script><link 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class="is-active"><a class="tocitem" href="basic-tutorial.html">Tutorial</a><ul class="internal"><li><a class="tocitem" href="#Creating-a-Scene"><span>Creating a <code>Scene</code></span></a></li><li><a class="tocitem" href="#Adding-plots-to-a-Scene"><span>Adding plots to a <code>Scene</code></span></a></li><li><a class="tocitem" href="#Changing-Attributes"><span>Changing Attributes</span></a></li><li><a class="tocitem" href="#Plotting-Observables"><span>Plotting <code>Observables</code></span></a></li><li><a class="tocitem" href="#Saving-Static-Plots"><span>Saving Static Plots</span></a></li><li><a class="tocitem" href="#Creating-Animations"><span>Creating Animations</span></a></li><li><a class="tocitem" href="#Summary"><span>Summary</span></a></li></ul></li><li><a class="tocitem" href="animation.html">Animations</a></li><li><a class="tocitem" href="interaction.html">Observables & Interaction</a></li><li><a class="tocitem" href="plotting_functions.html">Plotting Functions</a></li></ul></li><li><span class="tocitem">Documentation</span><ul><li><a class="tocitem" href="scenes.html">Scenes</a></li><li><a class="tocitem" href="generated/axis.html">Axis</a></li><li><a class="tocitem" href="convenience.html">Convenience functions</a></li><li><a class="tocitem" href="generated/signatures.html">Plot function signatures</a></li><li><a class="tocitem" href="generated/plot-attributes.html">Plot attributes</a></li><li><a class="tocitem" href="generated/colors.html">Colors</a></li><li><a class="tocitem" href="lighting.html">Lighting</a></li><li><a class="tocitem" href="theming.html">Config file</a></li><li><a class="tocitem" href="cameras.html">Cameras</a></li><li><a class="tocitem" href="recipes.html">Plot Recipes</a></li><li><a class="tocitem" href="output.html">Output</a></li><li><a class="tocitem" href="backends.html">Backends</a></li><li><a class="tocitem" href="troubleshooting.html">Troubleshooting</a></li></ul></li><li><span class="tocitem">MakieLayout</span><ul><li><a class="tocitem" href="makielayout/tutorial.html">Tutorial</a></li><li><a class="tocitem" href="makielayout/grids.html">GridLayout</a></li><li><a class="tocitem" href="makielayout/laxis.html">LAxis</a></li><li><a class="tocitem" href="makielayout/special_plots.html">Special Plots</a></li><li><a class="tocitem" href="makielayout/llegend.html">LLegend</a></li><li><a class="tocitem" href="makielayout/layoutables_examples.html">Layoutables Examples</a></li><li><a class="tocitem" href="makielayout/theming.html">Theming Layoutables</a></li><li><a class="tocitem" href="makielayout/layouting.html">How Layouting Works</a></li><li><a class="tocitem" href="makielayout/faq.html">Frequently Asked Questions</a></li><li><a class="tocitem" href="makielayout/reference.html">API Reference</a></li></ul></li><li><span class="tocitem">Developer Documentation</span><ul><li><a class="tocitem" href="why-makie.html">Why <code>Makie</code>?</a></li><li><a class="tocitem" href="devdocs.html">Devdocs</a></li><li><a class="tocitem" href="abstractplotting_api.html">AbstractPlotting Reference</a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li><a class="is-disabled">Basics</a></li><li class="is-active"><a href="basic-tutorial.html">Tutorial</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href="basic-tutorial.html">Tutorial</a></li></ul></nav><div class="docs-right"><a class="docs-edit-link" href="https://github.com/JuliaPlots/AbstractPlotting.jl/blob/master/docs/src/basic-tutorial.md#" title="Edit on GitHub"><span class="docs-icon fab"></span><span class="docs-label is-hidden-touch">Edit on GitHub</span></a><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article class="content" id="documenter-page"><h1 id="Tutorial"><a class="docs-heading-anchor" href="#Tutorial">Tutorial</a><a id="Tutorial-1"></a><a class="docs-heading-anchor-permalink" href="#Tutorial" title="Permalink"></a></h1><p>Here is a quick tutorial to get you started. We assume you have <a href="https://julialang.org/">Julia</a> and <code>Makie.jl</code> installed already.</p><p>First, we import Makie, which might take a little bit of time because there is a lot to precompile. For this tutorial, we also call <code>inline!(true)</code> so plots appear inline after each example. Otherwise, an interactive window will open when you return a <code>Scene</code>.</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p><code>Scene</code>s will only display by default in global scope. To make a Scene display when it's defined in a local scope, like a function or a module, you can call <code>display(scene)</code>, which will automatically display it in the best available display. </p></div></div><pre><code class="language-julia">using GLMakie
using AbstractPlotting
AbstractPlotting.inline!(true)</code></pre><h2 id="Creating-a-Scene"><a class="docs-heading-anchor" href="#Creating-a-Scene">Creating a <code>Scene</code></a><a id="Creating-a-Scene-1"></a><a class="docs-heading-anchor-permalink" href="#Creating-a-Scene" title="Permalink"></a></h2><p>A <code>Scene</code> object contains plot objects such as <code>lines</code>, <code>scatter</code>s and <code>poly</code>s, and is the basis of a Makie figure. You can initialize it like so:</p><pre><code class="language-julia">scene = Scene()</code></pre><img src="data:image/png;base64,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" /><p>The scene is empty as we haven't put anything into it, yet.</p><h2 id="Adding-plots-to-a-Scene"><a class="docs-heading-anchor" href="#Adding-plots-to-a-Scene">Adding plots to a <code>Scene</code></a><a id="Adding-plots-to-a-Scene-1"></a><a class="docs-heading-anchor-permalink" href="#Adding-plots-to-a-Scene" title="Permalink"></a></h2><p>Let's create a scatter plot. We make a vector of points in a circle and use <code>scatter!</code> to plot them into our scene. Each plot type (e.g. <code>Scatter</code>) in Makie has a normal version (<code>scatter</code>) and a mutating version (<code>scatter!</code>). The normal version returns a <code>Scene</code> with the plot in it, the mutating version adds that plot to an existing <code>Scene</code>. Here we use the mutating version because we have a scene already.</p><p>Mutating plotting functions return the changed scene by default.</p><pre><code class="language-julia">points = [Point2f0(cos(t), sin(t)) for t in LinRange(0, 2pi, 20)]
colors = 1:20
scatter!(scene, points, color = colors, markersize = 15)</code></pre><img 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" /><p>As you can see, we also got a basic 2D axis with the <code>scatter!</code> command. If you use a 3D plotting function, the axis will be a 3D version as well. Sometimes you don't want this automatic axis. In that case, you can use the keyword argument <code>show_axis = false</code>.</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>You can put your mouse in the plot window and scroll to zoom. <strong>Right click and drag</strong> lets you pan around the scene, and <strong>left click and drag</strong> lets you do selection zoom (in 2D plots), or orbit around the scene (in 3D plots).</p></div></div><h2 id="Changing-Attributes"><a class="docs-heading-anchor" href="#Changing-Attributes">Changing Attributes</a><a id="Changing-Attributes-1"></a><a class="docs-heading-anchor-permalink" href="#Changing-Attributes" title="Permalink"></a></h2><p>One great feature of Makie is that it uses <code>Observables</code> (or <code>Nodes</code> as a Makie-specific alias), which make it easy to write visualizations that can be updated dynamically with new data.</p><p>An <code>Observable</code> is a container object which notifies all its listeners whenever its content changes. Put simply, using <code>Observables</code>, if your input data changes your plots change as well.</p><p>Plot objects usually have a collection of attributes, which are observables. If you change them, the plots update and the scene will reflect that. Let's try to change the marker size of the scatter we created last.</p><p>To access the <code>Scatter</code> object we added to the scene, we can index into the scene. The scatter is the last object, so we can use <code>scene[end]</code>. Then we change the markersize attribute:</p><pre><code class="language-julia">scatterobject = scene[end]
scatterobject.markersize = 30
scene</code></pre><img 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WiaImp15sMPz/XxkXLdHABwDAEawKNlZOcGhEZaGcenMY2FT1H84vJqrltsp0ICFe8ve+n991fS1lpN/p4QcXGYwugjsQl4LE0TiiI8mshEbKC3JcK7jl9/tCr/6OTJk3/64buBfbDuuVn4fPqZRU9nZx31VdgcUjAkSMejbfdOHsN1ZwDAPVfdxg4AHKKgoFAsVxLHBIx/sTBEqfQrK69KiYvgust2iqLIwD4p/Xt9eiW76M+/Dx3Yv6+6tJgQIhCKCaHMNoveYrZ6+/To1Xf2jJf79OiEDTfsldYt/qGHHv3ll+0SUZrB1KpPiYH+lqzMQ198sdoLvwUAQIAG8HA1tTW0QOSMAE0IEUll9Wo11y22dzRNpSRFpSRFPfX4/WqNoU6tbWgw2BhGIhYpfbyUCplQgDfqlnt0zpS8vNyrV6+KhAkmcwuLBPjaCvMPLF78So/uiVw3BADtAt6XATyazWojxFmraSmaZ7M5fh8xd0VTlNJHqsT6WocSCHhvvvHsSy+/k519yUfeSa21e+FiSKA5N+efBQsW3Tt5BNfdtHcsyzZoDNVVarVaazZbhUK+j4/cL8BH7i2hsGof3AsCNIBHk8vlbJXGScWtJqNMhu1ygWMymXjFilc+/njdzz//0CF+QHmFmGnezhwSMauQ1+blnl3y+tt3junLdR/tWlFB5d/7Du/btzc3L5tliEgs4dE8G2MzmQwURWJi4keOGD10eL/o2GCuRwrgGAjQAB4tNDT0wuUswvNzeGWakAZ1bVCAP9ctAhCxSPD84jk9e6atWL5MQAl9AzvW1ArNlv98vFzKessb8nJPR0d037RpY4fYEK47aL+uZpZ88/V3f+/fExEaLxMFh/uG6BuIzUKxLCukKC8hI/EifJt1x+9/fPHlx4MHjnjk0ZmJyZFcjxqgtRCgATxaQlzspk0b6JAoh6+0kAoYbYMmPNjBO0wDtNiwod179dy0Y9fBDd+t1dTWhEckisS+FqvQYqEZlvBoVihgaNqgUZepygqCu/Z87/33+/ZJoZ1xILhbMJks677etvbbL+Oiu0X6DdWWU022DGQJISzLWs2UtpZoawWEhEf4hpWV1s2YMeOhmY8+POdesUTIdQcALYcADeDREjtENajrFFE2tdmRJxESQpQCsyQoOMjPh+sWAf7Hy0s8bcqoSXcPz8gsPHHi7JmzZwryMnQ6rY2x8fkCX6VfYlJyr7sf7Nmzc0R4AFbt3kJ1pfqVl94qKCiMDh5SXdisn1RDPdVQ7xMbMvT33387e/b0suVLAoMVXPcB0EII0AAeLdjPJzkl1cjTq4ncwaW1FaPuHMfnYbN5aHcEAl6XzrFdOsfOIZNtNsZisTEMy+PRQiEP17o1R2V5/fzHn6aJVGDqVG/nRjt1FRRflKzVVM199Ikvvvw4ONSX624AWgJ/2wA8GkWRKVOmVOZd5Dv0zcBHaCvKvnTXyKFc9wdwGzweLRYLpFKhSMRHem4Ovc60+NlXaMpLowoyG1tSwWoi6tIAiUD57KKXGrQtKgHANQRoAE83rH93IZ8OF+sdWFNpqxo4dERCNC69AnA3n328rrZG3VAewLRi/3iWIfVlflqt4ZMPv+G6IYCWQIAG8HQysfDpRc+WXj4iFzjmSsJgsSX/8unH5zzEdWcA4GCnjmds375FxMZZLa0tZbMSvjn2t9+3HTt8ieu2AOyGAA0A5I7BvfoOGOytL2j9fgMyPqPJPTHviYWJ0aFctwUAjmSzMR9/9HFCbB9NjWMKNtSTxJjeH330kdXinNNQAZwGARoACE1RLy1aYDOoI3mVrVkFKuaxXurMHr16zbz3Lq57AgAHO3MyMy8/t1YlcmDNmjJRaWnJqRNXuG4OwD4I0ABACCH+Cq9PPvxArcqNolSCFr0xyAWMt/pKWHDgGy88jc03ANzPrz//3iEq1WJ05KWWFhMVE9Fl+7ZfuG4OwD74IwcA/yc2PPCbr77kWXSK+kv+Yqtdzw2Xmiw5B7p07rRy2RK5VMx1KwDgYLoG48HDf5v1Xg6vbG6QHT12QKsxcN0igB0QoAHgfyKD/b5Z9eGwoUOqzu2OEVT5CG+/MDFQbI2wFagu/j3/yaeXvbTQS+rIr3cBoJ0oLqywWq0NtY7f6U9bTxFCF+aruG4RwA4I0ADwL15S0XPzZn677tsgH3H9hV1h5pxoqd5PZBXzCE0RmhAeRSR8NkBsiZFo/NQXqi7s6Z6asvXHH6aPH45DjwHcVUF+iZ8yuPWbb9zIZiF+yuD8vGKuWwSwA04iBICb6JIQ9dmKJTnFj/198Nhff+6ty8tmGFYoEtM0bbNa9WaTTSQK79x18kMzB/ftHozzugHcXXl5hUzqU1/rlOJSibdKVc51iwB2QIAGgP8UFxEUd//EOfdN1OgMteoGtVZntdmEAoHCW+ankMvEQq4HCABtRK/T83gCJxXn8YQ6nY7rFgHsgAANALdBUcTHS+LjJSEkgOuxAAA3eDweIayTirMsw+cjkIArwRpoAAAAuA1fX6XJ7KyNMixWg6+vkusWAeyAAA0AAAC3ER4ZVldf4ZTUQJF6dVVkZDjXLQLYAQEaAAAAbiM6JrRBp5bKHF9ZLCVqTU1MhwiuWwSwA5YcgSeyMYzVxhBC+DyaR+NjJADAbQSFKCMjYiQ8i17r4EsJ5b5W4hUeEubLdYsAdkCABk9RrzOcy8w5cfpM+oULqtJig15PUZTUyys8MrpL1659uqd1jo/2EuMQEACAm6Bpevz4idu3/cKSGMfu926wqMaPu5vHw1wGuBIEaHB/uWWVm3/+bcf2rQKRxD86jpX6ihKCaUJRhBIQpp4xHzh66sfvN/FpatL0B6aOGxPii12NAQCuN/qOwV98+UlUUHRdhcMitDKILSjPveOuoVw3B2AfBGhwZw0G05oftm/8Zk14x86KtGEVVoGaEHL96dRCIvMSpIT78sz7/v7n+2+/fvypRfePGyXk87gePgBAOxIUorxv+kN//7Wf0NGEcURFiliokin3PhAa7sd1cwD2wTcm4Layi8tnzJ3/x+7d/n3G5Muiy6wC238/2MJSxVZRkW9CQM/h36795rHnXi6rqee6AwCA9mXGQ5N0hvqgSJNDqgVFmdUNlQ89PIXrtgDshgAN7ulMVt5DDz9MKwKrQ1JVVjsueSm2iszx/Wp1pocefSyntJLrPgAA2hGFUrb0zaWZeUf8wlo7Be0XymbmHX7jjaW+/nKu2wKwGwI0uKErBaUL5s8P6dzzKi/ASuxeq6dnqQJZpDwket6TT5ZW13PdDQBAO9K7f8ri517KKz3kF9rygwl9g9l81aFFC5/vPyiV64YAWgIBGtxNrVb/zOLnQzulXWUVLS7CEJIrCJL6h768dJnJYuW6JwCAdmTytNFPP/VsTsn+oChLC54eGGnNVx1YMP/paQ/cyXUrAC2EAA3u5rN1GymxNI/2b2UdhhCVV3h+fsGGX3dz3RMAQPsy7YE7Vyz/IL/slCKiykvR3GfJvIkyoiq/7Phbby2/f+Y4rpsAaDkEaHArF3IKf/1xizEw3tb6WoQYGMorsfvqTz8qrqrlujMAgPZl6MgeP/z4fVxcRHHtfv+oekUgS/1HpqAooghg/aPVZep/omNDt/ywecSY3lwPH6BVsI0duJVvvtsUndrrqs1hL+xiqzCqQ9KWX3c998gDXDcHANC+hIb7vf3u8/dfmrJl87Z9f/0hEkqDAqJEfDlj47MsTVEMRVvNNm1FdVFxjW5Yl9EvvvJNSmos16MGcAAEaHAfRZW1R/bv8+59J3HI/PP/Z/UN//mH7+feN9lbKua6RQCAdie5c8ybnZ9dVPd4xuW8C+fTs7OzyitUZpNRKBIFBYYkJPRLTX00OSVW4evF9UgBHAYBGtzH4dPn/COiVTYHH4BSzohkfMHZzJwhaSlctwgA0E4plLK+Azr3HdC58T9ZlqUox575DdCOYA00uI+DBw96BUc6vKyNJQExCcdOnuK6PwAAl4H0DO4NARrchNlqy0y/oOdJnFGclfpcOHuG6xYBAACgXcASDnATDQaTVq1hWKe8pA2UoK6k2Gy1CfkOXh8CAAAALgcz0OAmDCYzS4iZccqXhhaWNhoNFqtDL04EAAAA14QADW6CJSxFCKFafrTsLYtTLMOyxCnFAQAAwLUgQIObEAsFxGlrkgQUIxCKBDys3wAAAAAEaHAXXmKRWCKR0owziouJNSAoSMjHNQMAAACAAA3uQiwUxMQnyhijM4oLTA2dunTFpkwAAABAEKDBnfQfONBaX+HwshQhdSUFfXr34ro/AAAAaBcQoMF9DO7Tq+xqhtzRqzj8+RZNdUXPzh257g8AAADaBazpBPeRFBma0DHZxGq1xMeBZX30NWmj7whWenPdHwAAALQLmIEG90HT1COPPFJ64YSMctgktD/PWnjx1IxpU7huDgAAANoLBGhwK0O7d+nSLS3E5JiV0DQh0uq8sffc26VDJNedAQAAQHuBJRzgVmiaen7hU/fPmBGb5pNnk7ayWgdSr66vfmL2DK7bAgAA12O12mor1ZWqmrpatcViEYlESj+foBB/pb+c5mEG07UhQIO7iQsLXLps+QvPPRPVZ2ShVdziOrG8hqJTR7786it/by+uewIAAJfB2Jgr53N379r39z9/VtdUiUUSiUjG5wusVrPO2GCxmEJDwkeNuGPkmKFxyRFcDxZaCAEa3NCoPt3Ur72+/M3XY3oPz7d/HpoipAOlLjp56L0PP+qeGMt1NwAA4DJOHrq0atUXmVlXYsOT/XjxEl68sY5hGMIQQhPiwydiOS1j2X/+Orxuw5o+vQY+Nu+Rjqn4Q+N68A0CuKd7Rw5a9u77qtP/xFkqpPZcU+hD26J1BTWZ5z7/8suh3Ttz3QcAALiG+hrtmy+8/+RTC4heHML0qrsiq85j9GqGafIniLESfR1TdZXVZPmE8/vWqnQzZ878/P11Rr2Z6+GDfRCgwW2N7pu2ceMGHz5LXfo7jtbcNkZ782zxbJ3hzJ4O4aGbN6zvnRzPdQcAAOAa8rJKZ8149MKFy+HCPhWXecYG9rZP0dex1VeEHbz77dy584lHn61S1XHdBNgBARrcWUJ48Ncr31nyxpukptR6dneMrjCGp/PnWaUUI6RYIcV60UwQz9qB1kWpcw0ndnkxho8+/uSDV58P9VNwPXYAAHANOVeK5sye4yUINOb666rt20e1vozhV0Vr602PP/pkJTK066BY9vYfkqDNlJSUKJVKmUzG9UDcjY1h0vOK/z589PCBf0oK8y0WK0XRhLAsywiFotj4hIFDhg7t1zsxIpSiuB6rPRiGKS4ujoyMpFxr3MAdrVar0WjCwsK4Hgi4DJVKJZFIFAoF1wNppypVdQ89MNtfFll1RdDiIjweJY/XiOX052tWSr1afvl7O1FYWBgWFsbnu/OFdu7cG8A1PJpOjYtKjYt6euZ0ndGk0RsMJjMhRCoWeUslMrGQ6wECAIDrYWzM8jc/8Bb7V2W2PD0TQmw2tqHAuyGo6MuP1y96eS7XbcHtIUCDZ6Eo4iUReUlEXA8EAABc3p5fD54+e8rXnEqY1n6fbzWycmP0D1s3Dhk2MK1vMtedwW1gDTQAAACA3fQNxo8//Sjav6tJ65jVsNoKW2JEz88+/Zyx2beQGtoeAjQAAACA3Q78ecJmZWpzHBl2tUX8jKwrF09nc90c3AYCNAAAAIB9WJbd+tNPocoEm82RZY0NbIewTjt+28V1f3AbCNAAAAAA9qkur0/PuKCr5Dm8Mtvg9feBfSYDjlZp1xCgAQAAAOyTk1Uok/joah2/WLmhyqbX68qKq7huEW4FARoAAADAPnk5+f6KIOKEi/3MBuLj5VtcUMZ1i3ArCNAAAAAA9lGpykV8Z5165iXzqaqs5rpFuBUEaAAAAAD76HU6mnL8AuhGfFqo1+u5bhFuBQEaAAAAwD58gYBhnbVbM8va+PxWHW0IzoYADQAAAGAffz9/K+OsjTIMJp2vn5LrFuFWEKABAAAA7BMdG6XR1zqjMs0nddrqsIgQrluEW0GABgAAALBPXGJMTX25SOb4HCXz5dkYa3h0MNctwq3wuR4AAAAAgIuJiAlSKnzlAmLKdXBlib+1syJV4evFdYtwK5iBBgAAALCPQMgfP/ZuE8/Bm81RPFJenzdh/ESu+4PbQIAGAAAAsNvYiaMLVdk+IY7czM4vmjbb9AOH9+K6ObgNBGgAAAAAu0XEBk2eON3qVUlRjinIF5JKQ/ajs+d5K511RAs4CgI0AAAAQEvMmntfrbbcP9Ex1ZRxFoWv4u5pY7huC24PARoAAACgJfyDFUvfeCur9LhvVGsDVUAClVN2/s2lS8RSIddtwe0hQAMAAAC0UP/haYuefj6v/qRvVMsXQwck0Jllx95+a0Vi52iuG4JmQYAGAAAAaLmpM8c+OX9hTu2RgES7V0NTPBKYzGSpji57a8XQMb25bgWaC/tAw//YGKZWp6/VNOiMRpZlZWKxr9zL10vG5+GDFgAAwH+a/vD4kNDgJW+8EpIYzdT6aqtszXmWTxhtFquqdA2rv1zTtXcS102AHRCggZittjNXc/f8vf/YgX+qKipoPo8nEFGEWC1mxmpV+vn3HTx41LChPZPiJQIB14MFAABoj4aM6fVDyuYvP/3mj72/d0juTGnl6nLWZmFvfCRfRPmEUmZBTb4q6747Zs58dBqOTXE5FMuyra/CrZqamoqKCpqmQ0JCfHx8mv/EnJwcnU534+0CgSA5OZmTXkpKSpRKpUzWRvvXWGy2nUdPrv5iVU11dWjHzmZv33qKryO0lRBCCJ9QUmLzYa2ShvqyjHRvL9kjj8+fMKifWIDPXe0FwzDFxcWRkZGUo3ZRAnen1Wo1Gk1YWBjXAwGXoVKpJBKJQqHgeiAuIzu9cNuPv+7a+zthSIh/pETgTRg+YSlCsQxl1pnqy2tKpBLxhHGTJk6+KyI2iOvxOl5hYWFYWBif785pwbUDtF6v/+KLL77//vvCwkKapjt06PDwww/PmjWrmb+zefPmZWZm3nh7UFDQ5s2bOemoLQN0Zolq6Yp38/PyAlJ7FvKlJnKrBCYkbKTNUJ9+NjAw4LWXXkqNieTk5wPXQYAGeyFAg70QoFumQWPIySi8fCkjJyenorLCZDRKpdLg4ND4+PiU1KTYhAg33m3DEwK0C/dmNpvnzp27ceNGX1/f7t27WyyWM2fOPPbYYzk5OStWrGhmhf379wuF17+C+/fvz3VzTvfHiTNLXnohLLWHsfvgbHL77GUmVA5PKkzt72+onfXQQy+/uXTSYPf/KQEAALSMl7eka+8krGx2Vy4coDds2LBp06YOHTps2rSpV69eLMv++eefM2bM+Pjjj4cOHTpmTHP3If/hhx/i4+O57qZNbf3n8NuvvRY+aHgmLbXriWZCZUr8YgaNXPb6a7rnnn/wzlFctwIAAADQ1lw1QJtMpjVr1rAs++KLL/bu3ZsQQlHU6NGjn3jiiddee2316tXND9ACgaBTp05cN9R29p29+PZrr4UMGplDi1tWIZ8SRw4Y9fG7KxQ+PuP7Y88dAAAA8Cyuuj1ZVlbWhQsXAgICrgvK48aNE4vFR48eValUXI+xPSqsqnnlhecjBgzNb2l6blRECUMGDF/66suZJfg5AwAAgGdxyQCt1WqvXLliNBpjYmKCg4Ob3hUXFxcaGlpdXZ2Xl9fMagzDnDx58tChQ1euXLnpphxug2XJe6u+DEpMvsp3wHY5ubQkvGuPd1autDEM150BAAAAtB2XDNB1dXX5+fmEkPDwcB7vXydnSqXSwMBAhmFKS0ubWe3xxx8fNGjQkCFDevbsOWDAgE8//dRsNnPdolMcvZJ1/OA/FcpQRxUs8grIvHLlzzMXuO4MAAAAoO24ZIBuaGioqqoihNy4qw5N03K5nBBSV1fXnFKBgYGxsbETJkwYN25cZGTk+fPnn3rqqaeeespm+98ZQsy/cd19y3373XcRaX3Ujvul6wkd0q3XN19/bWNceDNEAAAAALu45EWENpvtFpPEzd93MC0t7ZVXXomIiGicxq6trV29evWSJUu++uqrQYMGTZ8+vfFh+/bta/qsjh07Oq81lUql0+mkUvs2x2iOkjr18YMHZMPHObZsMU9quXzpwJlz8cEBzvuxwH9hGEalUlEUhX2goZkaGhoaGhpcei4A2lhlZaVYLNZqtVwPBFyGSqViGKYt94GOiIho4x5dMkALBIJbREy9Xk8IaU6emDdvXtP/9PX1feGFF/Lz89esWbNly5YhQ4aEhISQGxKzv7+/81ozmUwKhcIZB6n8ffFKcGxcKe3gbdv1ND86sVN6Tm7fFCd+roD/wjCM0Wj09/dHgIZmEolEQqHQqe9j4GasVqtEIrHroF/wcHq93t/fHweptDtyuTwgIIAQUltbe91dDMM0NDSQlsZciqImTpy4Zs2aK1euFBYWNgbotvxYIxaLJRKJRCJxeOUzp894hUc5Y8zCoJDTJ04+Of1ep/904AYMwzS+ZhCgoZmsVqvFYnHGmwy4K7FY3Pg+w/VAwGU0vmDcO0C75BpohUIRGxtLCCksLLRYLE3v0mg0VVVVPB4vPDy8ZcUDAgIoijIYDO60I4eNYbMuXzIKnfL2p+OL865mmaxWrrsEAAAAaAsuGaBlMllKSoqXl1d+fn5xcXHTuzIyMlQqVUhISGPCboErV66wLOvr6+vn58d1ow5jtFjqa+uMFK/1pW6kJzyDTqczuufWJQAAAADXcckATQiJi4vr3bt3fX399u3bm97+448/WiyWoUOHNl3CkZeXd+LEiZMnT1ZUVFy7UavVsuz1e0fU1NR88803hJB+/fq1OIK3Q1abzWq1mIlTvuW3EMIwjBkz0AAAAOAZXDVA83i8BQsWCASCFStW/Pzzz3q9XqPRrF27ds2aNQqFYv78+U0ffPjw4fnz57/11ltFRUXXbjxx4sQDDzzw008/ZWZmVlRUFBYW7tixY9q0aYcOHQoICJgzZ463tzfXXToORVEU5aRfdmNZGmtwAQAAwDO48PruCRMmLFy4cOXKldOmTYuNjbXZbHl5eSKRaOnSpb179276SJZlz5075+Xldd2N33///ebNm6VSqVgsZhhGo9HYbLaIiIj33nuve/fuXPfnSCI+XygWi4hTdmsWEZYV8MVCAdddAgAAALQFFw7QFEW98847vXv33rBhQ3Z2Np/Pv/fee2fNmjVq1KjrHikQCMaNG+fj49N0zUZCQsKqVauOHTuWm5tbV1fH4/F69eo1YMCAKVOmJCQkcN2cg4n4/NDwcBNjJrTjf+NS1iLx85eJHLxBHgAAAED75MIBmhBC0/S4ceOioqKuXr3K5/MTEhJSUlJufJifn1/37t2FQqFYLL52Y1RU1MyZM4cOHVpcXFxbW0vTdFhYWEJCgltuj0pRJLV7jzOZ2cTb8Ue0SIy62LTuPNpVlwMBAAAA2MW1AzQhRCAQdO/e/dYrLkaPHj169Ogbb5dKpUlJSUlJSVw30Rb69+n9x44dvLQQW+trNUERUleQO2jCU1z3BwAAANBGMGvoKbonxrMWcxjr4M3mgomlobqqb+dOXPcHAAAA0EYQoD2Fj0Q86b4HeKpCx5b1qlHdcfc9gT5yrvsDAAAAaCMI0B5k+rg7q/OvRrEmRxUMY80l6RcevHcy150BAAAAtB0EaA8S5quYt/BZ3cWTMsoB+9mJCGvLvjjr8XnxIYFcdwYAAADQdhCgPcv9d4zo2CklpLKwlb94mpCo+rKQgIBH7pnAdU8AAAAAbQoB2rMIeLy3nn+O1arj6st4LT1XhSYkoaGyoaRwxeuvSXB+CgAAAHgYBGiPE+gj/+Kjlay6Jqo8T07s3tROSpgO1YW64oIvP/8swt+X624AAAAA2hoCtCeK8Pdd+9mncRGhvFMHYhl9M18EFCExjFFy/kigXLbuqy/jQ4K47gMAAACAAy5/kAq0jL9ctvLlF7cfOPzRe++GKH3FMQkqnkTPUjd9sJiwoYzRWpxbqypbsOiZqSOHCng8rjsAAAAA4AYCtOfi0dS9QwcO79n9t38ObdmwnlRWRsfGiXwDbCKxheIRQvisjW82mWurKvNzjT4+Ux6Ycc+IYQHeXlwPHAAAAIBLCNCeztdL+tDY0fffMSKrVHX60pVLly4V5eda6tWEsGJv78iY2JQBfbt37pQUESri49UCAADgtnQavaqoqqK0or5eY7NapTKpf6BfSGSQf7Avj49Fv/+CSASEECLg8VIiw1Miw8ldowghDMsSQmiKam1dAAAAaN/0WsOxv0///vuO0+dOWi1WucxbKvaiKdpsMWn1GqNFHxIUdsfIO0eNHR6bHMn1YNsLBGi4CURnAAAAt2cymnf+8OcXaz63mdlwZWw420lXY7GWMCa2caNbmRffz0/Bl5sFf+/9Z+3Gr4cOGD5n3uy4lCiuB849BGgAAAAAj3P1Yv6bS95SlalCxXE1BYbKq6YbH8NYWUO1xVBtIUQQEZxaklt+/333zZ/75H2PTuYLPHo7AaxoAQAAAPAs/+w4OnPmQ0QvEBeHV17U2yy3P1tNV26uOcnESdLWrV/38lNvaOt1XDfBJQRoAAAAAA+y75eDi196Nk7Rpeqk1Wpg7HpuTbbBuzoqO/Pq4idealDruW6FMwjQAAAAAJ7i3JH0l197Mcm3e+V5Q8sqGOus1mxvVUnFslfes1nty99uAwEaAAAAwCPUVapfeumlpOBulRdamJ4bWXQ2ulh57PiRret+47onbiBAAwAAAHiEbz77TsqXV5wxtr6UvsYSyk/46LOVxTkqrtviAAI0AAAAgPvLzyj+8ZfNgholcdCyi5pMY1RA3PqvNnLdGQcQoAEAAADc37bNv8QGJdUXOmD6+Rq2UvL77l9UhZVcN9fWEKABAAAA3JxOo//tj194Gpljy6qLTCF+EQf2HuG6v7aGAA0AAADg5rIu5hKG1BeaWl/qOj60/59/7uW6v7aGAA0AAADg5i6cTQ/xjbCZHL/rnKGKzbh6xdP2hEaABgAAAHBzmZkZYtrLGZWNtVbGxtSU13LdYptCgAYAAABwc6ryMtZEOaOyxciIhKK6GjXXLbYpBGgAAAAAd8ayrN6gZ23Oqc4QPk9oMjp+dXV7hgANAAAA4M4oihIKhRTPSdVZhrHyBQKuu2xTCNAAAAAAbi7AL4ASsM6ozBPQRrPRRyHnusU2hQANAAAA4ObiOsRbaKesshAr+Axr8wtSct1im0KABgAAAHBzXbp2rtKUUU7IfdIgflhIuMLfm+sW2xQCNAAAAICb65SWqNWr5SEih1c2C7XDh4ykaKds8dFuIUADAAAAuDn/EN9+vQaIwhx8kIrEl19QcXX4HUO57q+tIUADAAAAuL/p90/LKb8sVvIdWNM7jtelU9fELrFcN9fWEKABAAAA3F+PQandUtPkCQ4rKA8RZqkuzJ0319PWbxAEaAAAAABPQNHUwmefuqpK9+8oaX01mk9swfXj7pjQfWBnrjvjAAI0AAAAgEeI7xLz3MIX8g2XvMNbezWhX3cBy7fOf24u1z1xAwEaAAAAwFPcM/OuqZOmV4mveke0MENTFBXYS1Ban/fBR+972u511yBAAwAAAHgKiqIWvDhn0t33ltDp/p3sXssh8ub7dLdVGEq+XP1FbHIk191wBgEaAAAAwIPQPHrBS3NeeO7F3IYLfr0oWaCwOc+ieFRgF6kmMM8/TPndpm8TUj1u542mEKABAAAAPM74+8ds+eH70JjAUtFFv160soOYJ7r5ZhoSP0FgmoQkVZWas59+auFHa94NivDnevgcc+RegAAAAADgKqISw9/78u3Lp7O3/fDzn/v3sKEkSBkqFchphkdYwlKMlTLXNlSVaqtiZXGPzpwzYtxgudKL61G3CwjQAAAAAJ6rU4+ETj2eX6R+Ii+jMCM9qyC/oLqmymq1ennJw0LD4pPik1LiQqODPHCz51tAgAYAAADwdF4+0i59Onbp05HrgbgGBOj2hSWkpL4+PzMr4+rVoqIirUZNUbRS6RsVHZWckNApKipQjq9OAAAAALiEAN1e6M3mPafPrPv22/ysLEVwsE9YGCXzYvlCQtjKmprLBfmbvvvOqNX0HDBw2r33DkzuyKdxASgAAAAABxCguccS8sfpMyvfe89osUgTEoV3xKl4/LLrFhoplLzwKD/GWq7VPP/ss9EdOjyzcGHvuA5cjx0AAADA4yBAc6xOb3jny9X79+wO6te/RCKz/vcCfRtFKnn8SoWvdNgIo6b+sTlzZj722LzJk4Q8HtdNAAAAAHgQLAPgUnFd3cNPP30hM4MMHZEpvVV6bkpPUVd8lN6jRm/76adnV7zbYDJx3QcAAACAB0GA5ky5RvP4wkVWL6/CuMQ6nt2/iFK+oKFn7ytXry5e8a7RauW6GwAAAABPgQDNDZPV+tI7y1m5d1ZwWDMnnm+kpemqpE4ZmZkffLeB64YAAAAAPAUCNDfW7tx19WpOcUQk07pdyXU0ZeqSum3Tpj3nznPdEwAAAIBHQIDmQF5V1ZpPPhakpekpBxzqU8njhw0a9O4772ixGBoAAADA+RCgObBu67bQlM5FAqGjCmZLvGw0/evhI1x3BgAAAOD+EKDbWrlGs2vrVm1wqANr2igi69Rp49q1FpuN6/4AAAAA3BwCdFs7fPGSPDiojOfgHbiLhJKqyorLJaVc9wcAAADg5hCg29qBfw7IY2JZByx+/hcDTQXFJx47f57r/gAAAADcHAJ0m7LYbJfOntFJZc4ozg/wP3v6NNctAgAAALg5BOg2pTEa1XV1Wkev32hkEIoLcq7aWJbrLgEAAADcGQJ0m9KZTIQQoyN2r7uRiaYb1GpcRwgAAADgVAjQbcpqYyiKYohTAjRDEcbGMAzDdZcAAAAA7swpawngv4gEfJZleSxLnDAJzWNYViDg0fhQBAAAAOBECNBtykss5vN4fJbREZ7Di0sYmyAgQMjH7xQAAADAiTBb2abkIlFAaIiP1eKM4iKDPrFTJ6esDgEAAACA/w8Buk3RFNWr/wChut4ZxRuKi3v27Ml1iwAAAABuDgG6rQ0dMKDiyhWho/ea82NsNUVFvVM6cd0fAAAAgJtDgG5rPRPiJSJRpMno2LJBGnX3fv2i/fy47g8AAADAzSFAtzWpQPDgnEdNGZdpx01CezNM6cmTMx94gOvmAAAAANwfAjQHJg8dzLPZEvVaRxUMr6ro3rfPgI5JXHcGAAAA4P4QoDngLRa//OqrJQcPhDliO44Eo0F1/vzi+Qto5xxwCAAAAABNIUBzY2hKp4fnzTcfO+rfupO3Iy3m8v1/v7bs7bigQK57AgAAAPAICNCcmTfpntF33UWfOBZstbasQozZVP/XvgXPLR7XqxfX3QAAAAB4CgRozvAo6tU5j9w9eZLh7z8TjAZizzWFPJYka9RVf+599pWXH75jNNetAAAAAHgQHPvMJR5NP3f//Ylx8e+88XpCVLQ+IqpEILjNU1gSaTHarmSYCfvlmjV94uO4bgIAAADAsyBAc2987149N29Zu23b9k0bQ4OCZR3i66Wyeh5tIRShCCGEYomQEF+bVanX1WdlNjRoH3rs8ftGj5KLRFyPHQAAAMDjIEC3CyE+3i8/PGvWPff8sHv34QP/VGRne/EFEh8foVTKMoxZr9fX15toKqBHz4eeempot25KqYTrIQMAAAB4KATodiRU4XPvgP5zxo01E6q0tra8trZBp6Np2tvLK9jXN8xX6S0Wcz1GAAAAAE+HAN3uUIT4yqS+MmnniHCuxwIAAAAA10OABgAAAAAHMOk1hoZ6TVWBjGfxUviJZD4U5Z4bviFAAwAAAEALWYy6Syd27v/752OnzpaU15jMNpZlKIoS8HlB/t49u6UMHTK++8C7pd7+XI/UkRCgAQAAAMBuBm3tb9+/u2bjxgadvkdn31EDhHGxAUEBrFjMms2kuobOK6TSs7NeefNFi+3lByaNnTbrVd/gGK5H7RgI0AAAAABgn6O7177+zhIeZZk+znfcHVL/AELIv05WTiS2/gMIIUTX4Lt7L3/b7j83bP39xaeeHDfjZTdY14EADQAAAADNxdgsX7479+vvtz8wIfSRh6xeXtZbP17mRSbdY717gnjjZu93Pv7w+KlDr7z9vauv6HD5TwAAAAAA0DZsVvMbiyf+9Nvv774Y8vQCq5dXc59I86gHH7CsXh5wNffK/EdGamvLuG6lVRCgAQAAAKBZ3l9y/5GTpz583W/YMFsLnp7Smf1kmcxiqX32yYkWo47rblrO5QN0Q0NDZmbmpUuXysvLW1ZBq9VmZGS0pgIAAACA2/tl/Zvbd/219BnfLqlMi4sEBbNvvyQuLi3+dPkcrhtquZavgbZYLGazWSaTcTj6rKysjRs3Hj9+XK/XJyQk3H333ePGjaMoqvkVMjIyNm3adPz4cYPBkJiYeM8999x11112VQAAAABwe6rc82+v/OjJmcG9+1hbWSoigl38mGLR0l2Dh2zpPmQa1521BO/1119v2TMbGhoyMjKCgoJomptp7D179kyZMuX3339Xq9UNDQ1Hjx7dunWrVqsdPnx4MxPwzp07p06dunPnTq1Wq9FoGisYDIZhw4ZxlaE1Go1EIhEKhZz86+ByWJbVaDQ+Pj741AfNZDabTSaTt7c31wMBl9HQ0CAQCMRiMdcDAY6teGOWwkv/4rOOqRYVzVZXeG/fceCeKY/SNI/r5uzW8uxbVVU1a9asUaNGrVmzRqVStfG4S0tLn3766eLi4kWLFp0+ffrixYs//fRTYGDgypUrN2zY0JwKRUVFTz/9dGlp6eLFi8+cOXPx4sUtW7b4+vq+9957mzdvbuN2AAAAANqt4qyTO/86NmOSIyf4Zt5nKyqtOPHXRq6ba4mWB2iKojQazf79+x999NGePXvOnTv34MGDZrO5bcb93XffZWZmjho1atmyZdHR0X5+fnfffffSpUttNtvHH3+s1+tvW2HdunU5OTl33XXX0qVLIyMj/f39J0+e/MYbb1it1o8//thoNLZNIwAAAADt3O/bv0xNUvTt15ILB/9LWBgZPTBw85ZvuG6uJVoeoMPDwz/88MOJEyd6e3uXlpZ+9dVXw4cPHzx48CeffFJQUODUQVsslt9++40QMmPGDJFIdO32sWPHRkZGXrx48fz58yzL3qKC2Wy+VqHpeonx48eHhYWdO3fu0qVLt64AAAAA4AkYm+W3vX8N6eP4y96GDSDHzmRoqkq4btFuLQ/QIpFo8uTJ27dvP378+NKlSzt37swwzPHjx5966qlevXo9+OCDe/bsac5McAuUl5dnZWVJJJLu3bs3vd3f379Lly42m+3UqVO1tbW3qFBaWnr16lWZTJaWltb09qCgoJSUFIvFcvr06VtXAAAAAPAElcWZFVXq3j1ae+3gjbp3Z8RiOjv9ENct2q211/9RFNWxY8dXXnnl2LFjv//++7Rp0/z8/KqqqjZs2HDnnXcOHDjw/fffz8nJceygy8vLNRqNUqkMDg6+7q64uDhCSFZWVlVV1a0rNDQ0+Pr6BgUFXXdXhw4dmlMBAAAAwBMUXj3vIxfExjr+m3mplHSI9Mq4fIrrFu3msA00ZDLZnXfeuXnz5pMnT37wwQc9evSgKOrs2bPPPfdc7969p0+fvmPHjoaGBof8W2q12mazyeVyiURy3V1KpZIQUlFRUV9ff4sK9fX1DMN4e3vfeFmxQqFoTgUAAAAAT1BWkhMUIBY4Z4ew0EBRYXEe1y3areX7QP+X2NjYRYsWzZkz559//lm1atXu3btra2u3bNnyww8/dOrUaebMmQ899JC/f6sOQL92hd+NO+j5+PgQQliWZRimORVu3PzrxgqnT59u+oDIyEiH/9Cuqa6utlqtOp0Ln80DbYlhmJqaGrFYjG3soJkaGhq0Wq1AIOB6IOAyqqurxWJxm20SAO1QZaXKS+L4xNhIJqGqa2oqKytbUyQwMLCNfyaO/3EYjcYjR45s3rx5586djWf7SSSSxMTEy5cvp6enP/fcc5s3b169enWPHj1a/E/cIitYrc1aoGNXhetiulOTCvX/Oe+fAHdCNcH1WMA14AUD9sJrBoiTf/sUcb0XmCMDdF5e3s8//7x58+bz58/bbDZCSHR09D333DN9+vSUlJTz58+vX79+y5YtZ8+eXbBgwf79+29cgNFM3t7eFEXpdDqTyXTdPErjugulUnnrIxIbDxHQ6XQWi4XP/9cPQa1WX1fhugsNncpkMt128ADXMAxjNBoDAgJc7q0HuCIWi4VCYUBAANcDAZdhtVolEknj+kbwTIGBwQ16KyFO+eaqwcD6+/m53JuSAwJ0Q0PDP//88/333+/Zs6dx5wqRSDRs2LDp06ePHTv22k+kT58+ffr0mTRp0uTJk8+dO5eZmdmtW7eW/YtBQUFisVir1dbV1Xl5eTW9Kz8/nxASHR1961UiwcHBIpFIo9HU1dVdl+Mb9+C7bQUAAAAATxAWkVBRZbSYJc5YBq2qMKZ0iuW6Rbu1KkBnZGT89NNPP/300+XLlxt3TY6Kipo4ceJ9993XvXt3Hu8mBzMOGzYsNTX14MGDjRO9LRMSEhIeHp6Tk5OZmRkREXHtdqPReOnSJUJIt27dbr0aJiwsLDQ0tLCwMDs7OzQ09Nrter0+PT2doqjU1NS2X08DAAAA0N5ExaWqGyx5uVRiRwdvxKHXkdyihic79eS6Rbu1PEDn5eVNmDDh6tWrhBCRSDRgwIDp06ePGzfu1rmTpmmapq9bNWEvuVw+ePDgq1ev/vrrryNHjrx2++nTpzMzM8PCwtLS0q4t7UhPT9fr9SzLRkREXMvKPj4+gwYNWr9+/a+//jpkyJBrFU6ePJmdnR0REdGtWzdcZAMAAAAQGNExJFBx7DQvsaODt4I+fYZnNLHxKQO5btFuLd/GjmEYi8USGRm5YMGCAwcO7N69e/bs2c2ZtX3xxRd//fXXxMTE1ox71qxZcrl8w4YNO3fubLylrKxs6dKlZrN56tSpTSeVL1++vHnz5k2bNjVe0XjNww8/LJVK161bt3v37sZbSkpKli5darVa77vvvhv3hwYAAADwQBTNGz965D/HHb9F2F+H2P49k739w7hu0W4tnwkWCoVvvvnmyJEjbzzN5NZGjRrV+nH369dv0aJFS5cuve+++0aOHOnt7X38+PGMjIx+/fotXry46SONRuPWrVt1Ot2MGTOa3j5o0KCFCxcuW7Zs2rRpI0eOlMvlx44dy8zMHDRo0KJFixz5MwYAAABwZePueWz1hp8OHwoZMNDmqJrFRdTew5Ufr3iR6+ZaouUBOjg4eOzYsY0Hl3Di1VdfDQgI+Prrr3fv3m21Wv39/WfPnv3qq69eN3nM5/NlMplUKr1xm4LXX389MDDwm2+++eOPP6xWa0BAwKOPPtpYlqumAAAAANqbsPju40f137A9Y8BAh23gtn4LFRsZ3Gv4fVw31xKtmoEWCp1zKE3z8Hi8+fPnjxo16vLlyyaTKSoqqkuXLlKp9LqHyWSyWbNm2Wy2G9c08/n8J598csyYMVeuXGmskJqa2uLN9QAAAADc1eNPLh9/95DvNgY/+ICl9dX2/837ea/q2y++oXkuecmZs86VaTPx8fHx8fG3eMDEiRNvXSEhISEhIYHrPgAAAADar+Dozq89+8yb770fFxvUr1+rFnIUFFDvrq59eNqErgMncd1WC7X8IkIAAAAA8Bxj739p6oTRr31QffZMywNkWSn18jJDfEyHx5/7kuuGWg4BGgAAAACaZeFr3w3r33/Rm9V79/Ja8PTz5+gnXm7w8gpc8dEvfJELL5pFgAYAAACAZqF5gpeXb3tg8qQX31W9/zFPU9/cJ1ot5Jt1/MdfquyS3PXTr/6UKVz7uDqXXwMNAAAAAG2GonmPPre6W9qgJW+//OcRw+QxfuPusAaH/OfjtWqyc49g+261qsq8ZPHiO6e/wHUHDoAADQAAAAD26Tn8/p/7jN35wwerv1v3zY8NaZ2UnZNEHaLZ4ABWJGYtFlJdQ+cVUpezLacu1VKE/+CUu6fMfMUnIJzrgTsGxbIOPtYcWqOkpESpVMpkMq4HAq6BYZji4uLIyMgbtzkHuCmtVqvRaMLCXO/cL+CKSqWSSCQKhYLrgUA7ZbWYrpzafeDv7UdPny4sqTIaLQzLUBQtEvJDgxS9uqUOGTKua7/xYi/OTg5xBsxAAwAAAEAL8QWiLv0mdOk34QlCLEadUacuKsoPDY2QyhUiqTfXo3Na11wPAAAAAADcgUAsE4hlXg0WuV8on+/OIdOde3NRLCGVDdri2pqK2hqtTkdRlEIuD/b1i/D1V+KURAAAAACuIUC3I0X1dVsO/XNo//6S3Hy+WCTz9eVLxISw5ga9vraOtVmT09LuGjd2RFoPfykWSQMAAABwAwG6XShW13299cffvv/BJzJcFB9LpyTU8ukq+v9fFsYSIcv6WZk6reHL1V+trH7nwccefWD0HQoxJqQBAAAA2hoOUuHetuNHJ02bfvLiJem40QW9u2T5etUIeTa6yaYKFDHTlErIS/fzKurfzWvkoJ9//WXSrIcOX83ieuwAAAAAHgcBmksWm23ZxvXvvP6GctiAjKToUvHtT8VkCMmTCgt7dpF0Slow97Hv/t7HdRMAAAAAngVLODhjZZjX13x54O/9/DuGZYnsO1DeSpF0f3ns2JEfrVhhNBkfvWMs190AAAAAeArMQHPmk20//v3nPsPAXuV2pudr8qRC+ZhhX6z8cPuJY1x3AwAAAOApEKC58Wf6xQ1ffUUP7FMjaNWvoFAiCBw17O1XX8msLOe6JwAAAACPgADNAbXRuGzp0pBhg5uz6Pm2suSi0B5p7376KYNT2QEAAACcDwGaAz/+8xcRi7IVDtvLuTA04OLp0wcyr3DdGQAAAID7Q4BuazqLecOar/kpSVaq9cX+j4ZPh/TpuX7jBq6bAwAAAHB/CNBt7WTOVZPVWiATObZsma/3+WMn8murue4PAAAAwM0hQLe1/YcPB6Z0tNCOm38mhBBSI6D9YqKOX77MdX8AAAAAbg4Buk0xLHvqyBGjwtsZxWWRYadOneK6RQAAAAA3hwDdprQmU2VpqUYkcEZxg1SSlZ6OnTgAAAAAnAoBuk1pTUabjdHRTvmxGwS8+upqs83KdZcAAAAA7gwBuk2ZrVaKR9kop0wT2yjaYrFYGYbrLgEAAADcGZ/rAXgWPk2zDKGIg68gbESzLMvj8Sh8KAIAAABwIoStNiUTiShCJIxTZqAlNkbu4yPgOeB0QwAAAAD4LwjQbcpbJPZWKr0tTlmmLDaYohPieZRTprcBAAAAoBECdJsS8Hide3b30uqdUdxWWZXWowfXLQIAAAC4OQTotjZ08BBtTh7FOngVh9TGlmdm9UvtynV/AAAAAG4OAbqtDUzprC2vCDPZHFs2UmsMDg1LDgnjuj8AAAAAN4cA3dYCveRjp03xKSpzYE0+S3QXLj3w8CxcQQgAAADgbAjQHHjo7knlly7H6M2OKphY3yCmeRP69OO6MwAAAAD3hwDNgRhf/7mLFpqPn5bZHHDoSYjJVvb3ocUvvuglFHHdGQAAAID7Q4DmxkOj7uiY3Ckyu4jXuj2hva2M4MS5KQ/NHJnSheueAAAAADwCAjQ3hDzesmcXCwzGpLxSYUunoX0sTMDZ9NSuqYum3cd1QwAAAACeAgGaM4Fe8i/ef19iskReyPAz270pR4TBIjt4PDWly/KFz4h4OJIdAAAAoI0gQHMpzFvxzXsf9EztSnbuS67VNXMq2svKdlbVaX/fO/2B+999epFMIOS6DwAAAAAPgplLjvmIxcvmPTFkwMCV773np9PJOyXV+CvqRPwbszSfJYFmq1+NWnXqrLxTp6+/XdsjKobr4QMAAAB4HARo7lGEjO7SddC36/ZdOP/tunUVh4+HBPgpwsN53l6MgE9YQpnNVrWmtqDIpNdHDhv23Mcf9Y9P4lEU1wMHAAAA8EQI0O2FhC8Y171nt6AQI5+XX12VmXO1uKREo66neTxlaGBU36iOHeI6hkf4S2VcjxQAAADAoyFAtzshcu+44BBsSwcAAADQPiFAAwAAAHg6m62utvZKfv6l/Pz8yqpaq8Uql8siIsI6dEgKDU2RSmMQGpvCzwIAAADAY7E1Nad27dry668HJRKqY0ffkBB+UJCNR7NGE52Tk7937+6cnPoOceEPzpickjKez/fjesDtAgI0AAAAgCdqaMhYt27l33+fGj06bNEifmiYis8vvfFh6nqf3Fzzxo3ryspWv/DC450730dRAq7HzjEEaAAAAABPw166tPHVV1eOHh36xhtWpe+5WzzUR6FO667u2o2+cjnhk0++TEz864knlorFUVy3wCUcpAIAAADgQVhi/eOPt5ct+3jBAp9x488pfWub8yyaZlI6Zz63uEYkqn788Rlq9Xmu++ASAjQAAACA52B37Vy2bdvORc+wSR2z7X2yTNZw9z0Xhgz1evzxx7Tay1z3whkEaAAAAABPcf78uk2bfnvscVNIiKplFSiKHT78/IgRfi+++LTVWsV1Q9xAgAYAAADwCGr1hSVLPp79iDQ4uLyVpYaPuBgURG3d+h7XPXEDARoAAADAE9hWr35/3LiwxMSc1tfi8Wxjx1b+8MPeispDXPfFAQRoAAAAAPdXXn7o9OnL/fvnOqpgQGDlPfeEfvP1KkIYrptrawjQAAAAAO5v69ZNd94ZIvfWOLBmWlr+qVMZavVFrptrawjQAAAAAG7ObFb9+eeplJQWXjj4X3wU6gEDg0+c+IPr/toaAjQAAACAmysvPx8aKgsKqnB45eSOlp07DxBi47rFNoUADQAAAODmMjLOJyf7UDTr8MohIdUFBeUWSw3XLbYpBGgAAAAAN5eVnRsU5JRL/by9NUIhZTRWct1im0KABgAAAHBz5apqmZfFGZUFAotcLjIa1Vy32KYQoAEAAADcG2syWXhOWL9BCCEUy+fTNptT0nm7hQANAAAA4N4ouVxqsfCcUZplaKPRKhCIue6xTSFAAwAAALi5yMhgtVrgjMomk0irNUskvly32KYQoAEAAADcXMeOSSUlTtlprrZWyePxRaJgrltsUwjQAAAAAG4uPj7t4sUai1no8MrFxX5pafE8njfXLbYpBGgAAAAAN+frm0IIv7AwwuGVz5wx33nnKK77a2sI0AAAAABujqbl991/56lTMseWLS4Oz8io69hxJNf9tTUEaAAAAAD3N2zotMOHy4uLHDkJffiQ74wZd4lE4Vw319YQoAEAAADcn1SaMHfupD92ezM2x+xnl5GRcOxY1V13zea6Mw4gQAMAAAB4hFGj5lVWMIcOpbS+VF2t34bv9EuWPCkWx3DdFgcQoAEAAAA8Ap/v9/bb7/z0U/n5c51aU0fX4PX99wGjRg1MTX2A6564gQANAAAA4Cn8/Hp9/PFba9ZUnT7Vwnno+jrl+vURwcEx9933OiFOOd2w/UOABgAAAPAgUVF3ff75uxs31u7c2c2gl9r13OzsuA8+8EpM7PzEEx/StJzrVjiDAA0AAADgWcLDR61bt7Gywmv58oDz5zo154CV8vLg7du6fvKxdv78R2bOfJ+mPevklOvwuR4AAAAAALQ1L6+kV17ZkJm5feXK1du2BQ0e7B8XVxcYVCWR6CmKbXyM1Sqor1eUFAeeP0+dPFkx+d7ETZs+lMkSuR479xCg4XosIQzLEEJoiqa4HgwAAAA4CUUJO3actnr1uJKSQ3v2/P7ZZ9Umk8zPz1/pK+bzKJ3OUl1t0OmscXHCiRNHLVp0p1Qaz/WQ2wsEaCCEEJPNerm85PTlS5cuXizMzWtQawhLvHzkYdHRnVM79+zUJSU0UsIXcD1MAAAAcDCalkVGjpkzZ8zs2TqjsVSjKdPp6m2MTSySyuUBXl7hAkEgFv1eBwHa01XptdsP7f9h/QZ1fV1gUjwvyNfcMYrwKUIoo5UpNpgL9/259vMvpVLJ5Bn33zt0VIiXD9dDBgAAAMejaZlUmiCVJnA9EBeAAO25bCzzw5F/Pn33PWloIL9PZ6NCkHn9x0seIQISJhOnRig11h179mz44qvHnln4wJBRIh5eOQAAAOChEIM8VIVOs+TjD86fOSsf2TdXKWBv+WAjTXIUfNKnQ4eOUWu//vrA3/vfXvxihI8v100AAAAAcAArWjxRfl31Q0/OL66r0Y/rm3O79NxUrg+/bkzPWmJ58LFHMyrLuO4DAAAAgAMI0B6nTKt+bOGT/LDArC5hWr7d22wYeORKUqBXcofHnpifX1fNdTcAAAAAbQ0B2rOYbbaX31/OD/LLiPe3tXSPOpaiLscovBNjFr+xRGcxc90TAAAAQJtCgPYs6//+4+rV7ILkkBan50YsIVfj/Ks19at3bOO6JwAAAIA2hQDtQYrVtas/+FA0oKue54ADUkw0ZevdccOqr7KqVFx3BgAAANB2EKA9yMY/fgtITsjzdtjWK8UyXliv1HXbf+K6MwAAAIC2gwDtKepNhl82bTHGhTm4bFTAnu2/lDdouO4PAAAAoI24Q4Cuqam5cuVKZmamWq3meizt1+m8bFoiKpbzHFu2TEp7hwQdybjEdX8AAAAAbcTlD1KprKzct29feno6j8fr2rXrsGHDlEplM5976NAhlr3JJsgURQ0cOJDrzhzs8MkT/h3jyx2w+PlfWEK8E6IPHzk8qWd/rlsEAAAAaAuuHaB37969aNGirKwsmqYJIQzD9OzZc9WqVWlpac15+vr169euXXvj7UOGDPn777+5bs6RWELOnzpliXfw+o1Geh/ppWNnbCzDo9zhCw0AAACAW3PhAH3lypW5c+cWFxc/8sgj06ZNM5lM33777U8//TR79uw//vgjODi4OUVYlp06dSqf/6+fg0Kh4Lo5BzPZrJXFpXTnKGcU14poa3WNzmL2Foq5bhQAAADA6Vw4QH/wwQdFRUUPPvjgqlWrGhPwoEGDNBrNnj17vvjiizfeeKOZdWbMmHHXXXdx3Y1zmawWk8lE85wyQ2zkUZTVZkCABgAAAM/gqt+5l5eX79q1SygUzps379r8sUwmmzt3LiFk+/btBoOB6zG2IywhLMOyjl4A3RRzs9XkAAAAAO7HJQO0xWK5fPlyRUVFVFRUSkpK07t69+7t7++fk5OTn5/P9TDbEQHN4wv4QsYpGVfAEpqmhTwX/jYDAAAAoPlcMkDX19dnZWWxLBsdHS2TyZreFRAQEBISYjQaCwoKmlnt9OnTU6ZMGT169OzZs9evX19VVcV1f44n5gsUfn5Sk80ZxWVmRuol8xKKuO4SAAAAoC245KyhRqNRqVSEkBuvFBQIBN7e3oSQioqKZlZbunQpj8djGMZqta5du7Zr164ff/zxoEGDuO7SkXgUldglpaBBTxQChxeX68zKjokizEADAACAZ3DJ0KPX6+vr6wkhAsFN4mBjgDabzbetw+PxFi9e3L9//4iICL1ef+bMma+++ur8+fMPP/zw7t274+LiGh9WWFjY9FkBAQHOa81gMIhEIopy/Grl7t27p3+/iYQnO7yyuai8x/CRer3eeT8W+C8MwxgMBr1e74zXDLglg8HQ+JrheiDgMhqvKRIKhVwPBFxG45vMdVucOZVUKm3jHtt1gC4pKamtrW16i6+vb3h4uKOywjvvvOPr63vtP/v373/nnXfec889ly5dWrNmzRtvvCEWiwkh2dnZTZ/F4zn4ML+m6uvrWZY1mUwOr5wUEl6ZnafsmVAndeQv3ctkK7uU0Xn2Y9f9pqBtMAxTX18vk8kQoKGZGhoaGhoaGt/cAJqjvr7eaDTabE5ZBAhuqb6+XiwWI0Bz5vfff//qq6+u/SdFUe+//354eLhMJmsMvjfdakOj0RBCmvPnoWl6bhQXFzd37twFCxbs379/5syZycnJhJDhw4c3fUzjoS3Oo1Qqr1vY7RDhJLzfiKEVVbq6KB8Hlo2uMUq6dhnSuRuNAMcFhmFYlnXgp0pwe1qtVqPRhIU55VglcEs8Hk8ikbjfCQngPDabLSwsrC0DdNtr1xcRisXipCYSExMlEgkhRC6Xh4aGEkJUKtV1Z3GbTKbG1R2ND2iBHj16UBRVUVFRXl7+fz+jf+P6p9Jysx6YUXzwpNLssL045FZSfuj0I7MfQXoGAAAAz9GuPxwMHDgwISGh6S2N648VCkVycjJN04WFhRqNxsfnf1Oq5eXlZWVlXl5e0dHRLftHGxoaCCF8Pl8kcrdtJfrGJA4cNSI3u7wuJcQhBaPya/y6pQ5P7sp1ZwAAAABtp10H6Li4uGtX8v1r0Hx+cnJyZGRkUVHR6dOnmy6xOHLkSF1dXc+ePaOiWnhs9Z49e1iWjYmJcb+vOClCnn1k7rQHZyQHKq8EtnYFZGKNSXXi/PsbNvAw/QwAAACexFUXJPj5+d199902m+2jjz7SarWNN1ZUVHz66aeEkOnTpze9Xnj//v1bt27dunVrTk7OtRtPnz594sSJppt1WK3WLVu2rF69mhAyadKkFkfw9izSx++td1eU7joQX2dpTZ1YtbV8x4Ely5clBjhmMhsAAADAVbTrGehbW7hw4b59+3bs2DF16tRJkyYZjcYtW7YcP358yJAhs2fPbvrIoqKiRx55pH///u+99961G+vq6u65557OnTt36dIlMDBQp9NdvHjxwIEDFotlwoQJDz74oLtelTUssfNry99+84WXk+4akhnQkmUqCbXmih3/PPPay+O69uK6GwAAAIC25sIBOiIiYt26dc8+++zff/+9Z88eiqIEAsGECRM++uijxq2g/9XnDZeCisXi0NDQ8+fPHz9+vPFKRB6PFxoaOn369Oeff94Z+2C0H/f06C/7eOUrzz2f0jM1P8ZP1+xXgcTGdihSlx4+teSdt+/u3o/rPgAAAAA44MIBmhCSlpa2a9euM2fOZGVl8Xi85OTkrl273ni6io+Pz4svvigQCJqu6xg4cODJkycLCwvz8/Mb9zCOiorq2LFjSIhHrEkY3Skt5rsNb334QeUvh6IG9sj3lxhuub21xMZG15prj5yVREasX7++c3AE1x0AAAC0X2ZbfXn15eyrF65ezVGVVRqNZplMHBYenJiQGNchNUDZkU+781Sd26Ou2wYOuFVSUuKkfaBvysowf1w8/dWqVarSsuCuncxByjoZX8cnZpqiCOGzRGZhlQaruFJdfu6yr5/vnHnzxnfvK3TmUTJgF4ZhiouLIyMj3XXFETgc9oEGe6lUKuwDbZfKuvM7d//w89a/JDI6Mdk/MIQvkdt4PMZmpRs0vIpSc2Z6NY8WTL3vzhFDpyhk8VyP1/EKCwvdfh9od+4NbotP0+O69hrzZfezxXl/Hj505K/9tpJSEUVkQiEhxGo22xiWCg1OGzp41ENzekTFiXh4wQAAANyc1lC4ccvHv/+yf9CIiAefkinDynm8mxzTO8wsrC4OuXT22DdfbZv1yN0T7nhcJPDneuxgH8xAty9tPAN9HRvL1hv1tfoGnclICJGKRH5SuUIs4VGuuluL28MMNNgLM9BgL8xAN9OV3B0vvbA0rU9gt8HVcv+a5jyltjTk+J/SsiLDO+8siwhynyuLMAMNnoVHUX4SmZ8Eq7IAAADscODEmveWfzH5oZDo1KzmP8s3THXng3TGicRH5yx49/3XOidM5LoPaC7MLAIAAAC03KGT33z4wVcPPqmMTr1q95NppmPfjOlzgxc/+8aV3B1ctwLNhQANAAAA0EJXC/e+8/Zn0x/3DowpbnGRyE450+aEPvfMksq681w3BM2CAA0AAADQEgZz+UsvvjFpZnhQK9Jzo6jOV0dNjFj61ms2Rs91W3B7CNAAAAAALfHz718kdPLp0C3bIdVS+l81mjVHTn/PdVtwewjQAAAAAHZT63I3rP+9x9AGQjlmQzOewDJkrPjjD9earXVcNwe3gQANAAAAYLeDR3/u3idEGVruwJqh8QW+/sLL2X9y3RzcBgI0AAAAgH0Y1vTj5l1JaTbHlqVopkd/n59//o3r/uA2EKABAAAA7KNuyK+rqw+IcOT0c6PgmOozpzJM1mYdxQJcQYAGAAAAsE9peVZkjEIkc/yOGXK/OrGEV6cp4LpFuBUEaAAAAAD7FJfkh0Z4OaMyzbeGhHtXVbd2XzxwKgRoAAAAAPtUV9fI5JSTivsohGoNNuJo1xCgAQAAAOxjtVppnrMCNI9PW60WrluEW0GABgAAALCPTCYzmxyz/fONjAabRCLjukW4FQRoAAAAAPuEhITU1zhnkpilqiv0fr5BXLcIt4IADQAAAGCfiLC4glw1y/AcXtmkl1SWa/19o7huEW4FARoAAADAPkH+ibXVBm2NwuGVa1UBMi+ZXBLOdYtwKwjQAAAAAPaRCIN79elUmhPo8MoFGZKx44fwaAnXLcKtIEADAAAA2O3eeycf+7vGZuU7sKZBIz+yv3TEsAlcNwe3gQANAAAAYLekDiMoIiq81MGBNbPPRHTvkRzsl8Z1c3AbCNAAAAAAduPTsucWP7nzpwq92tshBevKgnf/XDj30ScpxLN2z5HfOwC0fwzLai0GtVGvN5soisiEYh+xzEsgooiz9sMHAAB31Sl+7KDB+47/kT90io6iba0pZTaK/tzKf/TxqaH+PbluC24PARo8goWxXSjL++vooSP7D6gKim2MjRbwCSGMxSoQCCI6xAwcMXR4r/7JgZE0hSQNAADNQhHeo7NeXvDUg2f3JXQfmUmoFh6twlj5R36LCvBXjh/9JNc9QbMgQIObszC23ZdOfLXqS1VpaXj3ZLZrpGxAjE7EWnkUYVmBjUhMxKK1/XX00Her1iSkJM999NFBcV0QowEAoDkkwuD33/t0wYJHGVtS2shsHt/ueWizXnL4twhNreCdt97j0VKuG4JmQYAGd5ZRVfz2B+/m5eYGDe5GRsbmCK7d05iPKQuP6IWkWs4noUGybkGmUuNzi57pPXjA848+EeHtx/XwAQDABSi9Eld9/s3Lry6sKIsaOFbjE1Td/OdWFYbt/YmNigpc/vZyscDxm+KBk2CVOritHRePPfjgTL2P0Dy119UIgVFwm8frRCQ7Vix4YECxunr6QzOO5F/mugMAAHANPrK4le9u6Jra66vlxov/JDfnskJNlf/JXR2/eb9+0uS7X3x2FdKza8EMNLinzcf+fO/1t8LvGZQdbN85qxoxUffwSwjwfvKxecs/WjmyY3euWwEAABcg5CsemPzmkEF3rvnm872/Mr36J8Yk25TB1RLvBh7PRiiWZSmbRaBXe9eUKXPS2bMnVGPuity0aZmfdyeuxw52Q4AGN7Tr0on3Xn8raMrgPP+WfMdCEepqlLDDhIEvLnzG56vVvSITuW4IAABcQ3hgn9df7FVdf+nI8d07d+wvKbKKxTK5QiQU8s0mq7reaDGb4hL4Y8eNeO6p0QqvBK7HCy1EsWwLrxgFZygpKVEqlTKZjOuBuLDsmrIHHpwRPLZfXqh9c883Ssg31Z/I3PLN+kCpY/b4dDiGYYqLiyMjIylc9QjNo9VqNRpNWFgY1wMBl6FSqSQSiUKh4HogrodlbUZLdYO+vEFfb7WahQKRl8zPSxIkFPi6907PhYWFYWFhfL47z9K6c2/ggWws886nK8P6pl5tdXomhFyNEUWVBXzy/dq3Hnma684AAMDFUBRPIgySCIMCFFwPBRzNnT8AgQf6K+PslQuXShMdM2HMEqLtGrLrp5/Pq/K47gwAAADaCwRocB82lvn6669Dh6TphQ6rWSOjogZ1X//TFq6bAwAAgPYCARrcR0ZlcW5GVlmIyLFl66LkB3fuUenque4PAAAA2gUEaHAfB84cD01N1Dk4P5NqOeUTHnzqKraFBgAAAEIQoMGdHDlwiBfhlOMDfeIjjp08wXV/AAAA0C4gQIObMNosBVk5DXKnbCxj9ZVcOXeBJdjzEQAAALCNHbgLrdlgMhiIyCnbIRvEtKG80mSzinm3OxAcAAAA3B1moMFNmKwWlhCrc17RVh6xmM1WhuG6SwAAAOAeAjS4CScfxUdRFA77AwAAAEIQoMFtSPgimqKENqcUF1lYkUQioB1wuiEAAAC4OgRocBNeQpHMx1tmdMp1fmK9NTQqQkjjmgEAAABAgAZ3IaT5yd1SZXVmZxSnqxq69kzjukUAAABoFxCgwX0MGjxIl1Pi8CloHkMqL+f27d6L6/4AAFwFyxKGYOtPcF/4Shrcx4BOae/nvBXQL7bay5GX+4XUMRqzNS0ynuv+AADaL52lJr8sPf3KuYyMbFVphdFgEktEIWFBSUnxnTt1iwlJkQn9uR4jgMMgQIP7iPD2G3jHyML82urO3o6qyRLCzyi/58H75EIJ1/0BALRHhdXnt/3y/e4dBxR+0tiUQJ9gOimOT/Fo1kabGuouZh//efvvdVUNo+4aNHnifTGB3QjBlkbg8hCgwa08PO2Bh2bODIgeUiV3zBt0ZA1beSV3+mvLue4MAKDdqdUXfb3hk31/HOwzKnb8wmBRUD2hy5o+QE6IPyGxY2hTZXDl5dK5cx8bOrL/nJlP+cuiuR47QKtgDTS4lS7B0ZNm3i86WchzxNI7iYXV/XXhsWefDpP7ct0ZAED7cjZnz/0zptc2FE180T9iRKkopJbQ/3HaFM2IgusihpdMfMFPYy574IHpp7P/4Hr4AK2CAA3uZv6kB/hGa2xmQyvr0CwJOVedkJj4wOA7uO4JAKB92XP8u+efeXX4AxEdxqkESm0znyVQNsTeWTZyZuRLi5fsOvIt100AtBwCNLgbhUj6/rIVFcfTE3Jbvik0zZIO6WpzWc3SZ17E9s8AAE39dXrzh++tGrcgwqdTaQue7p1cNvaJ8M8++mrviQ1ctwLQQgjQ4IaS/MM+X7Wq8vDFhHSNwGZ3ipZaSPSpSmN++RcffhwiU3DdDQBAO5JRcnjZGx+MeTRcElXZ4iKSiKoxj4a++9Yn6YUHuG4IoCUQoME9dQuNXff1N7xKrd8f2WF1zc3QLGGjKm3CbWdDpIpvP/kiRhHEdR8AAO2I3lL76ktLRt4XL4upaGUpSVTlqBlxr7y4pMFczXVbAHZDgAa3Fecbsv6DzyZOnFCz5WDMsfKwWobH/OeDhTYSVWmL/Lu4+rfjc+c9/tmLS4Mx9wwA8G+//rk+MNLLr1tZ60sRQpSppREJiu1/rOW6LQC7YXEnuDMZX7TgrmljBwz/Yc/vv37/o5RPByV3oALkRqnAxicsYYUWItRZbJXqisu5DSLRlJn3Tx4yJkjqw/XAAQDaHbVRtfbLzeOfCv/P3TbsRbEJQ8h3H/w0buR0pTSC6/4A7IAADe4v2ifg+SkPz5s4/XxJ7qkLZy+ev6AvzDE06CiK4svlAR2iu/Qb3Puxp1NCoiV8IdeDBQBop46c2R3XJUQcUeXAmuLQmqS0sAMnd00cMpfr/gDsgAANnkIulAyMTRkYm0LuJjaWsbEMIYRP8WgKZ2IBANwGS5itP/6aPNjxZ7LGdBNt++G38YNn0xQyCbgMrIEGT8SjaCHNF9J8pGcAgOZQG8oLc0tkEfUOryyLqC8rqag3OGZdNUDbQIAGAACA21DV5PkFyQXeBodX5nkZgsJ8yqryuG4RwA4I0AAAAHAbqoqSoHAflnLQ5YNNUWxguE+pqojrFgHsgAANAAAAt1FXXyvzETmpuEwuqKur5bpFADtgwT4A3AbDshqzrlpXrzE0WG1WoUCokMr9pQovgeMvJwKA9slms1FOm3OjaMpms3HdIoAdEKAB4OZYwl6tKf7rxMG/dv9ZnFNAaEook/D4PKvZYtYb+TQvsWunUWNGD07tE+rlz/VgAcC5ZDKZ2eisjGsy2mReXly3CGAHBGgAuInzquzV3359+tCxyO6Jwq5BgUODjVLWymNYQvEJkVgoLz1lrma+/2nLh2+tGDv17ofuuT/SGyefA7itoICQ2gqdk4rXV+mDA0O4bhHADlgDDQD/orXol29ZNefh2WqxKfDxftVDFWVRjMbbZuYzDEVYimUp1ixkahW2kjhWMy44dHa/SwVZU6ZP3XT4t8bdtQHA/YQGRquK6hiT40+bYs2C0oLasOAYrlsEsANmoAHgfwrUqmdffcFM20Ln9C/1sRJy+29s65Q2MlAeGd/7q8+/vHD+wqtzn5ELpFz3AQAO5i+P5PMEpkofiUNPIiSEmCp9WJsp0AcBGlwJZqAB4P/k1pXOmTdXEOatuzOk3sdq13Mrgm2y+ztn5V9d+PZLGrOe61YAwMGEPNmouwZVZzl+I47qq+LhY/qJeFgDDa4EARoACCGkylD/5LMLA7rFqLqLrTy2BRV0EptuRFBVQ93rny+3MLigHsDd3Dl6wqn9BTad2IE1GYPozN+F4+66h+vmAOyDAA0AhGGZd75cKQlVqLoKWaol6bmRRciahgSdP3d+/V9bue4JABwsNqh7Use4qnOO3HWn+nxAVExkfEhPrpsDsA8CNACQPy4dOnnkuK63gmlFem5kkDC+d3ZcvfKzrOpCrtsCAEeiKd6C+U8e+CXHVK50SEFTpeLAz7lPPfk0TeGKLHAxCNAAnq7BYvj43ZWRd3TVSxyzh0ZVgC1uSNcv1q/hujMAcLAOQT0fmjP17C9W1tja7ThYs+DCb8y0B+9OCO3DdVsAdkOABvB0+y8ft/FJeWRr556b0naUHtl3IKumiOvmAMDBptw1z983KGuXkrW0fNqYtfKu7vKVS/0emPAE1w0BtAQCNIBHYwn745Yfg3vH22iHBmiZLbpXxz8O/sl1fwC3YWOtRpveYNWZbEYGG5k3g5CWvrb4PUMdfeVnpU0vaUEFxiDK/NVfXcG+8eJ7Qmy+Aa4Jq44APFqFrjbjfHpw337N2fLZLrwOyj2/7Vow8SE+xeO6S4B/sTDmvKrMUxdOnDx+qiCnUKfVMzaGx+cp/RXJnRN79endLalniDySIhTXI22nvIT+7y394t3PXv1nVVa/ewMlUZXNf66hOOD4Vk1sjN+b77ztJXTk9YgAbQkBGsCjZZXl+wQpG2SOn3hT+7LVqsoKXW2YVwDXXQL8H51Fu+/0zvVrNmi0mvi0KO8O4pTuoURsIzyWstKsjq+vrv1x+w8rLr3fpUfKrIdmdYvqQ+MT4M3IhH6vLfxo1+HvPn53dY9hseE9DKKguls/xVSpKDstPflX3oJnHhk76CE+7fgtpQHaDAI0gEe7WpDrGxVc2erNN25kFDNSpby0tgIBGtoDlrDHsve/8+ZyL39J4p0hJNqLCA2EGNj/PYAQQvgxJLQnCb8rzpxNXlj8Ukpqx4Xzn4tUdOB6+O0RjxKOG/hI765Dt2xf+8u7e+O7hER3lklDdEKFnhZaCEUISxizwKKW6lRehZd0WedL77pnxKZNbwV5x3M9doDWQoAG8GhlpaUChVNO3mYoIg9QVNZVk0iumwSPZ7IZv9r68S8/7ug5OZFOrmep28yVMt4Gfg9Dz+RQ/SnTjBkPvP7Oa0NT7uC6iXYqUN7hyZlvz7j3sVPpB/b88eflHwttNqtYJhDweRarzagz8GhdcqpiwthJPV8a6iuN4Hq8AI6BAA3g0RoadETorIuJBRKR3mDgukXwdHprw5sfvVxYUtj7iSjWt67537awUrNksLl/WPIbryytfaZ60sAZXLfSfimlEaN6PTCq1wNmW0ODsVZnrLfYLHyeQCb28RL74ZhucD8I0AAejcfnEbOzijM2hsfDVj/NxbCMxqyt1dfpjDqWZcVCsY/UWyFSiHit3XDXk1kY87LPl6hqymKmS1hJSz7OsXH1/ecmrvpwtVgsuavnZK4bau+EPC9fmZevDF88gZtDgAbwaH7+/gW5KkKccjWPUa1TyBVct9je2VgmsyLrr6N/79+9v7y0nC+ghRIRTdNmk8WsN8m8ZD0G9Bw5YmSv+B5yAabx7LZp9zcZmZmJM71ZScs/KTJhmt6zEpa/8X7U6piUsO5c9wQA3EOABvBoMVFRh44dJiTQ4ZX5VkpTVRfq5/jKboMl7LHcE6tWfVGYm9+hT2LgsFCFX5BFbGV4LKEIxVB8M0+o5tWq1CtXfqCv0898/KF7Bk30Fsq5HrjLuKI6t3bV+gFPJbFSbStLsVHqvpNTXl/y+ndffi/l41cA4Onw7SqAR0uMjKvMLRVYHb/frVxLExsT5hPEdYvtVLmu8vmPXnrhuRdkyd4xT3cyD6G00UaT3MIIWEITQhGWx1okVl2wqaGbWTE7NGF6p9937Zj68LSjuce5HrtrsLHWlR9+0PvuFDaotem5Ea+rWijn7Ti8jevOAIB7CNAAHi3WL1zA4ytrHb/TrazC2qV3mrfQKVt8uLoLpZdmPDyjQlcZuyBZ28lkFd/mFBuWYrXhRtFkn6gRHZ596rm1e9fjzLzbulB4srioWNDZMemZEEJoJnqo35rPvm2wqLluDgA4hgAN4NGkfNGYe8bSuRrHlqVYquJM3vjx47nurz06WXD68bnzYkcmWIbzzFKrHc+kiSbJmDy36+b133+y9XNk6Fv7cduPKcPjWLE9P+HbYSPVPgFepzKPcN0cAHAMARrA090zelzekUveWkdOQgeraIvWMDCpJ9fNtTtZVVefefKZLpO7aVNMLaugDzBFzIjb8cuO9X9u5Lqb9kttqj32zwlRB4uD69JsbO+QHTt2cN0fAHAMARrA0yX5Rw8fN0Z6yWGT0HwrVbM/+9Gn5mH9xnW0loYXXn6x4+gUTZKxNXWMCkv01IQ1n6w5nneS657aqfyKbG8/L9ZX5/DK/HDzuRMX9dYGrlsEAC65doBmWba+vj4zMzM9PT0zM7NlRUpLSw8ePPjXX39duXLFanXkl30ArmLeA48UncwMKXHMG0JQhtXHy3tS3zFct9XufLdrI1/O13VzwLSoPtDUZVK3N19/U2tBkruJ7LzMsIRAZ/yJYxVGQrE1DRVctwgAXHLVAF1aWrphw4ann3767rvvHjly5IgRI5544gl7i2i12meffbZHjx7Dhg0bNWpUr169JkyYcPHiRa6bA2hrkd5BLy19rWDrKd+61m5tGVrEy9179o1Xlohx/Me/FWlKNn610WdwAOug911tkkmkFP96+HeuO2uPCgoKZf5iZ1SmBIy3n1e1porrFgGAS666D/SFCxdmzpzJsixFUVKpVKfTJSUl2VWBYZhFixZ9/fXXUVFRixYt8vb2/uuvv3bt2lVYWLhjx47o6GiuWwRoU+O6Di2cW/zDhs1+93apU9paViS4hJfzw9G3Vy7vFBjLdUPtzvY9P8f3SdAHtnDp841Yig3sH7p21dq7B4yXCWRc99e+1NfW8/wdvzkjIYSlWJmPtEHnuM09AMAFueoMNJ/Pnzp16ooVK3bt2vXaa6+1oMLOnTvXrVsXFha2bdu2d99995VXXvn1118nT558+fLl5cuXc90fAAfm3TVjyv1TKzeeDi6z+4JCiqXCsknelqNLViwdldyf61baHZ1F9+vmn0UpDj5KsCHcKJAJTued47q/dodhWYpySoAGACCuG6BHjRq1efPmxYsXjxkzhs9vyTz6+vXrrVbr7Nmzu3f/v3NZvb29Fy9eLBaLf/nll+LiYq5bBGhrNEU9Mf6hZ15eXLD5WOgZs9TQ3PcHRT3P96/aioOZn325amzqEK77aI8yy6/SIp4Dp58bsTSJ6hG9b/8+rvtrdxRKH5vRWdv8GbRGmQRT/gAezVUDdCvV1taeOHGCz+ePGfOv65y6dOmSlJRUUVFx9uxZo7FVl8kDuKhJPUdv2LBRYRXXrT4VdsGqqOfR5OYzeTwbFVDNDz6qK1tzNK1T6g9rN/WO6sz18Nup85fPh6VEsjzW4ZXZUP6pQycsDC6A/pfIyEhdjdkppS08dU2Dn08A1y0CAJc8NECXlZVVVFQolcrY2H+t1BSJRMnJyYSQCxcuVFZWcj1MAG4k+EV+/uKKTz7/NIjIy785Rn+XHXzcEJZNQop5waW80CI6PJMNPKCxfH1J9f3pzjEdN23a9MoDT/pLfLgeePuVfildGuyUTf0sPtb6Oo3G5OCjcFxdfGyCKreSsI5fxUGpxTaLzd8LZ9QDeDRXvYiwlSorKy0Wi7e3t7e393V3RUREEEJKS0tramoiIyO5HikAN2iK6hWZ0mtRStXj9enF2ReupF/NzK7OrjSbzBKpJDgiLLF/j66PdO4YEisXYLPn22AJW1ZYqohwypylVcQIhDy1UeMn8eW60XakQ2hirUpN1QeySr1jK9tKhZ26dpQJvFtfCgBcl4cGaLVaTQgRi8UCgeC6u5RKZeMDDAZD4y1a7b+utpbJnLj0jfn/uP4JgWu49oJx3vVSfiLvwXE9Bsf1IOMJIYQlLPXvFR14ud4WwzL6Br2PwPHrNwghLM3whQKjydjMX4SHvMn4CP269uxiyWX4PRwZoCmWKjpbNeO+GW7/A2zKQ14z4EBt/5qh6bZeUtF+A3RxcXFdXV3TW7y9vfl8fnh4uFP/3RuDyIEDB5r+Z+fOTlzlqVKpdDqdVIopPWgWhmFUKhVFUdhwoD1jCGuxWSwm5yxTZonJaKqqqpKZJM15uE6n02q1nhCGho8Y/vlnn6d1CaaELdyW8UaWQnFRZlGkb5xHXWheWVkpFouvm0sCuAWVSsUwTMv2eGiZqKioNu6x/QbovLy8AwcOsOz/5mxSUlICAgIcEqCvzSLf+FekMbXz+Xwe7/928ho8eHDTB3h5OXgjqqZomlYqlU6d5AZ30jj3HBkZiQDdzoWEhYgYgYk4LMldQ1tpwpAOUbFh8tDmPF6r1Wo0mrCwMK5/JE4XEh60ZeMWNsOHSq11TEWWqj5hnj3/wU6xqVw316YEAoFEIlEoFFwPBFwGy7JhYWFtGaDbXvvtTafTrVmzxmL535m38+fP79Wrl0OKKxQKmqbr6+v1er1Q+K/z0mpqagghwcHBvr7/t6BQLpe3WdfU/9dm/yK4NKoJrscCt9IhMa6w3ilzlkI9n6ZohUTRzNeA57xghDzxM4ufWbzo+T6RMazS0PqCbIayIi9v8mv3ecJPrynPec2Ao3jCa6b9BuikpKQtW7Y0vcWBn4BDQkJ8fHxqa2tVKlXTmizL5uTkEEKSk5MDArBLEQA4RmqX1AvfXxD0cPyVZ/waOiouSoZLOW+mR8yACfeOPb3zdMQUHtu6hRxUudexzekrPljuLcLFmgDQjgN0bGzsdXvMOVBISEjHjh2PHj164sSJjh07Xru9uLg4PT1dLBZ3794dX1cBgKN0ietcklmcoEu1yBy8Elqfqx06ehhF3HmmpzUenfJkVsaC2r0W5WgTEbRw5TdVLTv/XcmjTzzSO25wyyoAgJtxq32gmy6YviY9Pf3UqVMnT54sKyu7diOfz588eTIhZO3atRrN//ZP3bx5c1VVVd++fTt16sR1NwDgPiK8wzokxUmKHDxnIdTxc0/lDOmJVPefJHzZspffs9aTqt/4lE7Yggp0iffZNUV33zth2vBZXHcDAO1F+52BvjWDwfD88883Jub6+npCiFarffLJJxvv7d279wMPPND4v8+dO/f6669bLJZt27aFhv7vIpsZM2Zs3Ljx0KFDjz/++FNPPeXl5bV79+63335bKpU+//zz7r3yHQDaGE3RMx6asfKDlQEJEYzjziMUZlNdenbp4BfDdX/tmkLs/+Fbn723+u2zX57vck8kG1Pf3GdaeLaL3oe3pS984Ym7B9yHaX4AuMZVY6LFYvnpp5/Ky8uv3XL27NmzZ88SQmiabjxNsBHDMGazWafTXVfB399/1apVc+fO3bx589atW3k8nsFg8PX1feedd0aPHs11fwDgbgYnD/xS+KUsS6hNNjmkoFgjuLzr4qdffIpgd1tyoWLJguV/nNq+ctnHHbpFBPYUM6GaW30FaxKweV6Z+0qkItvqNV8kh3TjugMAaF9cNUALhcJPPvnEar1+NSHLshRFxcT8bz7Gx8dnwYIFNpvtut02CCG9e/f+888/d+zYceLECYPBkJiYeOedd3bt2pXr5gDADYl5oudffP6ZJxclBacafM2tLccS0+GG0RPvSAvvynVnroFH8cb2urfP5oE/7/1xy5qf5P7SmG5hklCKeJuJ2EZollhpYhAwtXxtoSnrZIGvr3Le/HmDO48S8cRcjx0A2h3qpuuGPUp2dvaVK1dMJlNUVFRqaqpE0qzDCJykpKQE+0BD8zEMU1xcjH2gXcinP6/6c++fyinBFkmrNoXwOitQnSpZ/8U6X7HSrid6zj7Qt9BgUV8qOHvoyMEzx85WlldbbbbG//8IRcLoDpH9BvXt12NAXGAynxa08h9yDyqVCvtAg10KCwuxD7T7S0hISEhI4HoUAOARHp3wSFF+YcGuQumdyhZnaPklUeaf6WvWrLE3PUMjL4FP3/ihfeOHMjMZo01vthoZluHTfBFfKuSJsCQGAG7LrXbhAABo50S08PUnl8SExdRsKZPUiOx9Om2lpMd52XsyPlv1WYJ/HNfduDyaoqV8L4XY31cS6C3yFfHESM8A0BwI0AAAbUrGl7715Bt33HlHxhfn5eki2trcxOalEms2VZpKDOu+Xts5BFttAgBwBks4AADampAWzp/wWK+uPd9d8V79AXXskDhTpM0sv/kZK7SFlqmEmgu1Vy5mPvr03ClDJot5dk9dAwCAAyFAAwBwo2dU942ffXc48+imDZuytl0J7hDi1yGArxCwYkJoirKwjJbRlWqLLhdKJJJ7Z0wZ9/JdQdJArkcNAAAI0AAA3BHRwuHJQ4a9M7hMW56en37x8qXc7Nz66lqbzeYl94qIiUweOSh1QZcO/jEizDoDALQbCNAAAByjCBUmDwnrEjK6y0hCCEvYxhu5HhcAANwcAjQAQPuC6AwA0M5hFw4AAAAAADsgQAMAAAAA2AEBGgAAAADADgjQ7QjLsllZWZWVlVwPBFxGQ0PDpUuXdDod1wMBl1FZWZmVlcWyLNcDAZeRk5OjUqm4HgW4DKPRmJ6ertFouB6IcyFAAwAAAADYAQEaAAAAAMAOCNAAAAAAAHagsBIOAAAAAKD5MAMNAAAAAGAHBGgAAAAAADsgQAMAAAAA2AEBGgAAAADADgjQAAAAAAB2QIAGAAAAALADAjQAAAAAgB34XA8AWq6mpqaiooKm6ZCQEB8fH66HA05XX1+vUqkIIUFBQb6+vlwPB9qjurq68vJyQkhwcLBSqWxNhZCQEIVCwXVD4HRqtVqlUjEMExQU5Ofnx/VwwP1VVVVVVlby+fzQ0FC5XM71cFoIAZobVqu18QVECOHxeCkpKfZWUKvVx44dy8jI4PF4nTt37t+/v1Qq5botcCKdTnfixIlLly4xDNOpU6cBAwY0/1NTenq62Wy+6V1paWlcdwYO09DQcOLEifT0dJZlG18k3t7edlXQarXHjh27fPkyRVEpKSn9+/d33T9v0BwGg+HkyZMXL1602WxJSUkDBw5s/ueujIwMg8Fw07u6detGURTXzYHjWSyWysrK6upqQohYLE5MTLS3Qk1NzZEjR7Kzs0UiUefOnfv16ycWi7luq0VYaEPFxcXbt2+fO3dunz59AgMD+Xw+n89/6aWX7K3zzz//pKWl8Xg8mqZpmhYIBMOGDbt8+TLX/YGznDlzpn///nw+v/E3zuPxevfuffz48WY+/ZVXXuHfTNeuXa1WK9fNgWOcPHmyb9++TV8k/fr1O336dPMrHDt2rHfv3tcq8Pn8AQMGnDt3juvOwFkuXbo0ZMgQgUBw7TWTlpZ28ODBZj59xYoVN31jSUxMNJlMXDcHjlRYWLh+/fpHHnmkV69eAQEBfD5fIBCsWLHC3jq7d+/u3LlzY3qhKEooFN555525ublc99cSmIFuU3V1dUeOHFm9ejVN00qlMjAwsKyszN4iV69enT17dm5u7rRp06ZNm2Y0GtevX//HH3/Mnj17x44d+ALO/ZSXlz/yyCPnzp0bN27czJkzKYrasmXLTz/9NGvWrN27d0dGRjaniNVqHTlypEgkanqjl5cX182BY5SWls6ePfvSpUsTJ06cMWMGy7Lff//99u3bZ82a9ccff4SFhd22QlFR0ezZs69cuTJp0qT777/fZrNt3Ljx119/bawQHBzMdYvgYDU1NXPmzDl+/PiYMWNmzZolFAq3bt26adOmxt94fHx8c4pYrdZhw4Zd9/3nde8z4AbUavWBAwfWrl3L4/F8fX2VSmVVVZW9RS5evPjII4+UlpbOnDlz0qRJGo3m66+/3rVrl8lk+vnnn13vyy6uE7xnyc7O/uKLLz755JODBw8WFRVNmDCBEGLvDPTcuXMJIVOnTjUajY231NXVDRkyhBDy9ttvc90iON6rr75KCBk5cqRGo2m8xWAw3H333YSQp59+ujkVXnnlFULIN998w3Ur4CzPP/88IeSOO+7QarWNt+h0unHjxhFCnnvuueZUWLRoESFk/PjxOp2u8ZaGhoYxY8YQQl5++WWu+wPHW758OSFkwIABtbW1jbeYTKb777+fEDJnzpzmVFixYgUh5KOPPuK6FXC6zMzMFStWfP7554cPHy4qKho6dCghxN4Z6GnTphFCHnnkEYvF0nhLRUVFz549CSGfffYZ1y3aDbtwtKn4+PjHHnvsiSeeGDhwYERERAsqVFRU/P777wKB4Iknnrj2KV+hUDz++OOEkK1btxqNRq67BEfS6XRbt26lKGrBggXXPqCLxeIFCxbQNP3rr7/W1tZyPUbgmFar3b59O0VRTzzxxLVvFaRS6YIFCyiK+uWXXzQaza0r1NfX//zzzzRNP/HEE9dmE2UyWWOF7du363Q6rrsERzKZTD/88AMhZP78+dcWPQuFwvnz5wsEgp07d1ZUVHA9RmhHEhMTFy9ePG/evP79+7csvRQUFOzdu1cqlc6fP63c2hgAAA/LSURBVJ/P/7/lD4GBgXPmzCGE/PDDDzabjesu7YMA7UosFsvly5dVKlVUVFRqamrTu/r27evr65uVlVVQUMD1MMFhLBZLTk5Obm5uQEBAr169mt6VlpYWERFRVFSUmZnZ0NDA9UiBMxaLJTs7Oz8/Pzg4uEePHk3v6t69e1hYWEFBQXZ29i1eJBaLJTMzs6ioKDQ09LqLSnv27BkUFJSbm5uTk4OXmduwWCwFBQVZWVkKhaJv375N7+rSpUtsbKxKpUpPT8dvHBzFYrFcuHChtrY2Pj4+OTm56V2DBg2SyWTp6ektWNHKLQRoV6JWq7OysliWjY6Ovm71alBQUEhIiF6vR4B2J2q1Ojc312w2h4WF+fv7N73Lx8cnKirKZrPl5OQ0budyW/n5+Y899tiUKVOefPLJzZs3N15GDa5OrVbn5ORYrdaIiIjrNjdUKpURERGNH8Nu8SJRq9VXr1612WyRkZHX7Vvn5+cXHh5uNptzc3Ob+TKD9k+tVhcUFOj1+uDg4KCgoKZ3yWSy2NjYxq/sm/kbLy0tnTdv3pQpUxYsWLBhwwZMXcON1Gr1lStXCCEdOnQQCoVN7woLCwsICFCr1cXFxVwP0z64iNCVaDSaxm2Ab7ygRygUNm5q1riBK7gHjUbT+NfI39//2ndejSiKakxLpaWlNTU1sbGxt622bNkymqYZhmEY5tNPP+3WrdsHH3zQuJQNXNe1t4WAgAAej9f0rsaLlQkhZWVlt3iRXKsQGBhI0/+aVeHxeI2RuqysLCIiojkvM2j/NBpNYzj28/O78YK/xs/qzX9j+eCDD669sXz++ecpKSnvvfde4+p5gEYajaa0tJQQEhISct1dEonE29ubYRiX++iFAO1K9Hp9TU0N+Y9rnBsD9H9t9wuuSK/X19XVEUKu+8jeqDHZmEwmi8Vy6zoURc2aNWvQoEHR0dFWq/XcuXPr168/d+7cQw89tGvXrk6dOnHdKLScXq+vr68nt3yRGI3GW7xIrr3MbvrG0vyXGbgKvV6vVqsJIQKB4Mbdmhs/dDXzjWXGjBlDhgyJiYlhWfb8+fPffffdhQsXZs2atXPnTuwxD9fo9frGy3UkEsl1d/F4vMbLe1wuvSBAO15eXt51S8fCwsKwuxzcQlFRkVqtZln22i0hISEBAQGOqj9v3rym31qMGDFi0qRJU6dOPX369CeffPLJJ59g2ymX1voTK3DmBVzT9I3o1h588MGmK0CGDRt277333nfffYcPH/7ggw++/fbbm36oA3APCNCOd+7cuU8//fTaf1IU9cILL4wePbr1laVSaWMQv+kHtcYZheu+6AeXkJWV9fbbb1/7T4qinn766QkTJkil0sZ1GjedCmqcdxQIBLf9K3Xjmp/Y2Ninn376gQceOHDgQF5eXseOHbn+GUALSaXSxm+fbvEiEYvFt3iRSKXSxmnmm76xNKcCuJZrrxmr1cowzHXrdpr/G79u/TQhJCIi4plnnjl8+PDRo0fz8vKSkpK47hXahWvp5caNwmw2m1arJS6YXnARoePRNC38N0fN7sjl8sZZyca1RE2ZzebGl2DL9pcBbjUeyHTNte9V5XJ545tORUWF1Wpt+hSWZRv/zkVGRrbs+40ePXqIRKKqqqrG9a/gouRyeeMHpPLy8uv2gWIYpvFz9a2/BLtWQaVSMQzT9C6bzda4BV5oaCi+RnMbcrk8MDCQEFJVVXXjp6bGr9pb/MVp165dZTJZTU0N3ljgmmsvuZKSkuvuMhgMWq2WpunmnPfUrrhY3ncJCQkJS5YsaXpLTEyMQyorlcrOnTtTFFVUVKTVapse21NeXl5aWiqTyZp5Lh20K5GRka+99lpjaG78/jQ6OpoQolQqExMThUJhWVlZVVVV08sv6uvr8/PzeTxeXFxcyxZ7NB7EQ9M01m+4NKVSmZCQIBAISktLa2trm74YamtrCwoKBAJBhw4dbvEiaXyZ8Xi8kpKS+vr6plt5VFdXFxUViUSi2NhYB64pAm4plcqYmBipVFpRUVFeXt74btNIp9NdvXqVoqikpKSW/cYbD/GmKMrlJhTBeZRKZdeuXQkh+fn5JpOp6R+dkpKSyspKhUKBAA3EeZdk8fn85OTksLCwwsLC8+fPDxw48Npdx44dq62tTUtLa/pWCK4iISEhISHhxtv5fH6HDh3i4+MvX7584sSJiRMnXrvr3LlzxcXF0dHRSUlJLTuR+8CBA2azOTQ09MbvYcGF8Pn8+Pj42NjY7OzskydP3nXXXdfuOnPmTFlZWXx8fEJCwi1eJHw+PzExMTo6Oj8///Tp06NGjbp216lTp8rLy5OTk+Pi4mQyGde9gmPw+fyoqKiOHTueOXPm6NGjTf9qXLx4MT8/PzQ0NCUlpWVvLIcPH9br9QkJCS6Xh8B5+Hx+ly5d/P39r169euXKlW7dul276+DBgzqdrnv37qGhoVwP0z5YwsGZpl+23vSijYsXL+7du3fv3r1NvwgLDAwcP368xWL59NNPr60lqq2tXbVqFSFk6tSpmE10MzKZ7N577yWEfPbZZ41fxxNC9Hr9J598wjDM3Xfffe0UMfIfr5nLly+fOnXqui/39+/f//777xNCxo0bh73JXJ1cLp80aRLLsp9++mnjUi5CiE6n+/TTT1mWnTRpkre397UHHz9+fO/evXv27MnPz792o0KhuOeeexr3N7x26KBWq228nGPy5MlIz25GJBI1nqv8+eefN27uRAgxmUyffPKJxWIZP3584xfujU6cONH4xpKXl3ftxpKSkmPHjl23tOzIkSPvvPMOIeSOO+7AbI67anq5xS3Sy59//tn0L1FUVNTo0aP1ev1nn312rUJ5eflXX31FCJk+ffp1u3C6AK7PEvcsNpvt3LlzQ4YMGTx48ODBgxMTEwkhffr0afzP4cOHf/XVV9cevH79eqFQ2K9fv5MnTzYtkpOTEx8fTwi59957f/zxxw0bNjTOGPXt27empobrFsHxysvLu3fvTgi58847v//++y1bttxzzz2EkE6dOhUVFTV95Pr162UyWUpKStPXzJkzZwICAoYMGfLMM8988MEHy5Ytmzp1auMlRL1791apVFz3Bw5QWlra+A3puHHjNm/e/P3330+YMIEQkpqaWlpa2vSR69atk0ql3bp1u+6NpaioKCUlhRAyceLELVu2bNq0aezYsYSQtLS08vJyrvsDx6utre3fvz8hZOTIkRs3bvzhhx+mTZtGUVR8fHxOTk7TR65bt06pVMbHxzd9zVy5ciUoKGjQoEELFy784IMPli9fft999zV+nu/atWthYSHX/YEj2Wy2AwcOXEsvjZ+O+vbt2/ifI0aMuC698Hi8MWPGXPcmc+nSpYiIiMbdD7dt2/btt98OGjSo8RWo1Wq5btFuCNBtymaznTp1Si6XC28mODh41apV1x68bt06oVDYv3//616CLMseOnSoV69ePB6Px+PRNM3n80eMGJGRkcF1f+As58+fHzx4MJ/P5/1/ffv2PXXq1HUPW7du3Y0B+uzZs7GxsQKB4NrHZoqiFArFjBkz8vLyuO4MHObMmTMDBw5s+iIZMGDA2bNnr3vYunXrJBJJ165db3xjOXnyZL9+/XhNDB48+MKFC1x3Bs5y+fLlESNGNH3N9OzZ8/Dhw9c9bN26dT4+PnFxcU1fM9nZ2QkJCdft1OHj4zNt2rTGE3PBndhstv3798tkspuml/Dw8OvSC5/PvzFAsyz7559/du3a9Vp6EQqFY8eOzc/P57q/lqDYZu/4CA6Rl5d34sSJ/7o3LCys8QMZIWTnzp1nzpzh8/njx49vnBlqSqPRHDt27PLly41Li3r37n3j/uTgTgwGw7Fjxy5cuMAwTOfOnfv27dv0KtJGja8ZmqYnTpzY9DVTU1OTm5ubk5PTeNRTZGRkSkpKQkICdv91M3q9/ujRo5cuXWJZtkuXLn369LlxGesvv/xy8eJFiqLGjx+fmpp63b06ne7o0aPp6ekURXXu3LlPnz5YvOHeTCbTsWPHzp8/b7PZOnXq1Ldv38avp5pqfM0QQiZMmND0NVNbW9v4xtJ4Am54eHhKSkpSUhLeWNxSenr6pUuX/uveG9OLSCS66667bkwvdXV1R48ezcrKEolEjenFRbfIRIAGAAAAALADLiIEAAAAALADAjQAAAAAgB0QoAEAAAAA7IAADQAAAABgBwRoAAAAAAA7IEADAAAAANgBARoAAAAAwA4I0AAAAAAAdkCABgAAAACwAwI0AAAAAIAdEKABAAAAAOyAAA0AAAAAYAcEaAAAAAAAO/C5HgAAADhdRUWFyWQihCiVSrlcfuMDSkpKGIahaTo8PJzrwQIAtHcI0AAA7u/06dOnTp2y2Wy9evUaN27cdfdWVFSsX7/eZDL5+/vPmzePz8efBgCAW8G7JACA+xs2bNiXX365Y8eO0NDQyMjI1NTUa3fZbLYXXnhh3bp1CoVi69atSM8AALeFNdAAAO5PIpGsXLkyNja2rKxs4cKFarX62l2rV69ev349IeTll18ePnw41yMFAHABCNAAAB4hPj7+3XffFYlE+/fvf+ONNxpvPH78+JIl/6+duwVprg3gOLwXkaEGw0S0DEEQZ9OuIBj8AMtk1WjwCwYrlteiMIbOZtJgFEGDk6FGEQxGGTgVwWIxuTExuDcIL0895TnOXVe6D6f844/Dzfm3Xq8nk8nV1dWwNwI0hpb19fWwNwDwNwwNDVWr1aurq9vb24GBge7u7vn5+XK5PDg4eHBwEIvFwh4I0Bj+qdfrYW8A4C+pVqtzc3PFYjEej09MTOzv73d0dBwdHU1OToY9DaBhCGiA5lIqlaanp5+fn78fNzY21tbWwh4F0EjcgQZoLolEYmVl5fs8Ojq6tLQU9iKABiOgAZrL3d1dPp//Pt/c3FxeXoa9CKDBCGiAJlKpVNLp9MvLSzweHxsb+/z8zGQy9/f3Ye8CaCQCGqCJbG5unp+ft7a25nK5nZ2d3t7ep6endDpdq9XCngbQMAQ0QLM4OTnZ3t6ORCLLy8upVGp4eDibzba0tBQKhVwuF/Y6gIbhLxwATaFcLk9NTT0+Po6Pjx8fH3d2dkYikXq9vri4uLu7297efnh4ODMzE/ZMgAYgoAF+v1qtlkqlTk9Pe3p6CoXCyMjI/6/e3t5mZ2evr68TicTZ2VlfX1/YYwF+Olc4AH659/f3fD5/cXHR1taWzWb/rOdIJBKLxba2trq6uh4eHjKZzMfHR9h7AX46X6ABfrlSqVQsFiuVSjQaXVhY+L688aevr6+9vb3X19doNJpMJvv7+8OeDPCjCWgAAAjAFQ4AAAhAQAMAQAACGgAAAhDQAAAQgIAGAIAABDQAAAQgoAEAIAABDQAAAQhoAAAIQEADAEAA/wGpEDbHVYf2HAAAAABJRU5ErkJggg==" /><h2 id="Plotting-Observables"><a class="docs-heading-anchor" href="#Plotting-Observables">Plotting <code>Observables</code></a><a id="Plotting-Observables-1"></a><a class="docs-heading-anchor-permalink" href="#Plotting-Observables" title="Permalink"></a></h2><p>Let's add a line plot to our scene. The corresponding function is <code>lines!</code>.</p><p>Imagine that you want to interactively visualize different sine functions along an interval. That means the x values are fixed but the y values depend on the frequency and phase of the sine function. Such a dependency is easy to express with <code>Observables</code> or <code>Nodes</code> for short. Usually, all plot functions accept their input arguments and attributes as <code>Observables</code>. If you don't pass <code>Observables</code>, they get converted internally anyway.</p><pre><code class="language-julia">xs = -pi:0.01:pi
frequency = Node(3.0) # Node === Observable
phase = Node(0.0)
ys = lift(frequency, phase) do fr, ph
@. 0.3 * sin(fr * xs - ph)
end
lines!(scene, xs, ys, color = :blue, linewidth = 3)</code></pre><img 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" /><p>You can see that our sine function was nicely visualized. The <code>lift</code> function takes as its first input a function which computes its output from the other arguments, <code>frequency</code> and <code>phase</code> in this case, which are <code>Observables</code>. The output is then stored inside another <code>Observable</code>, <code>ys</code>. Therefore, <code>ys</code> always contains the result of the sine function with the current <code>frequency</code> and <code>phase</code> applied to the values in <code>xs</code>. (If you haven't used the <code>do</code> syntax before, it is Julia's way of passing an anonymous function as the first argument to another function. It's very useful for dealing with <code>Observables</code>.)</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>For short functions, there is a really convenient macro alternative to <code>lift</code>. Instead of what we wrote above, we could have written <code>ys = @lift(0.3 * sin($frequency .* xs .- $phase))</code>. Just prefix expressions that reference observables with a <code>$</code> symbol.</p></div></div><p>Now, we can change the <code>frequency</code> to a different value and the plot will change with it. <code>Observables</code> are mutated with empty square brackets (like <code>Ref</code>s).</p><pre><code class="language-julia">frequency[] = 9
scene</code></pre><img src="data:image/png;base64,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" /><p>You see that the line plot has changed to reflect the new frequency. That's how easy it is to create a dynamic visualization with <code>Observables</code>. Imagine the opportunities to hook Observables up with sliders and buttons to control a complex plot.</p><h2 id="Saving-Static-Plots"><a class="docs-heading-anchor" href="#Saving-Static-Plots">Saving Static Plots</a><a id="Saving-Static-Plots-1"></a><a class="docs-heading-anchor-permalink" href="#Saving-Static-Plots" title="Permalink"></a></h2><p>Makie overloads the <code>FileIO</code> interface. This is how you save this scene as a <code>png</code>:</p><pre><code class="language-julia">save("sineplot.png", scene)</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>Different backends have different possible output formats. <code>GLMakie</code> as a GPU-powered backend can only output bitmaps like <code>png</code>. <code>CairoMakie</code> can output high-quality vector graphics such as <code>svg</code> and <code>pdf</code>, on the other hand those formats don't work well (or at all) with 3D content.</p></div></div><p>See <a href="output.html#Output">Output</a> for more information on this.</p><h2 id="Creating-Animations"><a class="docs-heading-anchor" href="#Creating-Animations">Creating Animations</a><a id="Creating-Animations-1"></a><a class="docs-heading-anchor-permalink" href="#Creating-Animations" title="Permalink"></a></h2><p>Often, we want to create small videos that show how a visualization changes over time. This is really easy to do if we already have a plot with observables. Once we have our scene, we can just change the observables that we want in a closure function and pass that to <code>record</code>, which creates a video for us.</p><p>We can just re-use our existing scene. Let's change the phase over time. We just need to supply an iterator with as many elements as we want frames in our video.</p><pre><code class="language-julia">framerate = 30 # fps
timestamps = 0:1/framerate:3
record(scene, "phase_animation.mp4", timestamps; framerate = framerate) do t
phase[] = 2 * t * 2pi
end</code></pre><pre class="documenter-example-output">┌ Warning: Inefficient re-conversion back to GLNative buffer format. Update GLMakie to support direct buffer access
└ @ AbstractPlotting /builds/JuliaGPU/AbstractPlotting-jl/src/display.jl:410</pre><p>And here is our result, as we expect the sine function moves sideways.</p><p><video src="phase_animation.mp4" controls="true" title="phase_animation"><a href="phase_animation.mp4">phase_animation</a></video></p><p>For more information, see the <a href="animation.html#Animations">Animations</a> and the <a href="interaction.html#Observables-and-Interaction">Observables & Interaction</a> sections.</p><h2 id="Summary"><a class="docs-heading-anchor" href="#Summary">Summary</a><a id="Summary-1"></a><a class="docs-heading-anchor-permalink" href="#Summary" title="Permalink"></a></h2><p>That concludes our short tutorial. We hope you have learned how to create basic plots with Makie and how easy it is to change and animate them using Observables.</p><p>You can check out more examples that you can adapt in the <a href="http://juliaplots.org/MakieReferenceImages/gallery/index.html">Example Gallery</a>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="index.html">« Home</a><a class="docs-footer-nextpage" href="animation.html">Animations »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 2 December 2020 23:15">Wednesday 2 December 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>