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<h1 class="title toc-ignore">Introduction to HTML Widgets</h1>
<h4 class="date">2019-10-07</h4>

</div>

<div id="TOC">
<ul>
<li><a href="#overview">Overview</a></li>
<li><a href="#example-sigma.js">Example (sigma.js)</a><ul>
<li><a href="#file-layout">File layout</a></li>
<li><a href="#dependencies">Dependencies</a></li>
<li><a href="#r-binding">R binding</a></li>
<li><a href="#javascript-binding">JavaScript binding</a></li>
<li><a href="#demo">Demo</a></li>
</ul></li>
<li><a href="#creating-your-own-widgets">Creating your own widgets</a><ul>
<li><a href="#requirements">Requirements</a></li>
<li><a href="#scaffolding">Scaffolding</a></li>
<li><a href="#learning-more">Learning more</a><ul>
<li><a href="#additional-articles">Additional articles</a></li>
<li><a href="#examples">Examples</a></li>
<li><a href="#questions-and-issues">Questions and issues</a></li>
</ul></li>
</ul></li>
</ul>
</div>

<div id="overview" class="section level2">
<h2>Overview</h2>
<p>The <strong><a href="https://cran.r-project.org/package=htmlwidgets">htmlwidgets</a></strong> package provides a framework for creating R bindings to JavaScript libraries. HTML Widgets can be:</p>
<ul>
<li>Used at the R console for data analysis just like conventional R plots.</li>
<li>Embedded within <a href="http://rmarkdown.rstudio.com">R Markdown</a> documents</li>
<li>Incorporated into <a href="http://shiny.rstudio.com">Shiny</a> web applications.</li>
<li>Saved as standalone web pages for ad-hoc sharing via email, Dropbox, etc.</li>
</ul>
<p>By following a small set of easy-to-follow conventions, it is possible to create HTML widgets with very little code. All widgets include the following components:</p>
<ol style="list-style-type: decimal">
<li><p><strong>Dependencies</strong>. These are the JavaScript and CSS assets used by the widget (e.g. the library you are creating a wrapper for).</p></li>
<li><p><strong>R binding</strong>. This is the function that end users will call to provide input data to the widget as well as specify various options for how the widget should render. This also includes some short boilerplate functions required to use the widget within Shiny applications.</p></li>
<li><p><strong>JavaScript binding</strong>. This is the JavaScript code that glues everything together, passing the data and options gathered in the R binding to the underlying JavaScript library.</p></li>
</ol>
<p>HTML widgets are always hosted within an R package and should include all of the source code for their dependencies. This is to ensure that code which depends on widgets is fully reproducible (i.e. doesn’t require an internet connection or the ongoing availability of an internet service to run).</p>
</div>
<div id="example-sigma.js" class="section level2">
<h2>Example (sigma.js)</h2>
<p>To start with we’ll walk through the creation of a simple widget that wraps the <a href="http://sigmajs.org">sigma.js</a> graph visualization library. When we’re done we’ll be able to use it to display interactive visualizations of <a href="http://gexf.net">GEXF</a> (Graph Exchange XML Format) data files. For example:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw">library</span>(sigma)</a>
<a class="sourceLine" id="cb1-2" data-line-number="2">data &lt;-<span class="st"> </span><span class="kw">system.file</span>(<span class="st">&quot;examples/ediaspora.gexf.xml&quot;</span>, <span class="dt">package =</span> <span class="st">&quot;sigma&quot;</span>)</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"><span class="kw">sigma</span>(data)</a></code></pre></div>
<p><img 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nGkuR++cIyaeAwHGtx46v1mhGOxJT13NTmFgEJg6SCgBPjSuZZqJpNEQMznp9oHEYnFP/hGmM9PtHsQjSl/+AegqCcKAYXAgkZACfAFfXnU4GYDgSTayLNsxgv93ZTboWgM3Z6g9jhEM7tqCgGFgEJgISOgBPhCvjpqbLOCgFGfjI9dVYzMVCOMumTI60wK9FJXCv5p1wk8vb8Zvd7QBRr6rAxEdaoQUAgoBGaAQBI1DaVqzABA9dXFiUCEfvBmtw9769zQJSdhc7mLQtyMVrcfu460ob7bi1urc7C1IhN2ixF6HqOaQkAhoBBYSAgoAb6QroYay5wiINHoIz5vPVPJJIVM3gtGYjjT4cFvDrbCw1SzO9bkYXNpOkx6HeQ41RQCCgGFwEJAQAnwhXAV1BgWHAJC7iKC/FCjG88daYeBzqYPbyjAitxUmA06TWtfcINWA1IIKASuKASUAL+iLrea7FQREA3dFwrj3Vo3Xjzahrw0C+5Ym4+yDJvmOxcStwhTz8QPpUsSf3oS88iVlj5VnNXxCgGFwNQRUAJ86pipb1yBCESZZtbnD+O3p7rx2qlOrMxPxa2rs9HSF8QumtoHAmFsKHHh3k2FyLCZlBC/Au8RNWWFwFwjoAT4XCOuzreoEQgz1ayHEeovH+vAq8c74KZQD0WHqIEPwaTT4frKTHzxlkpYaGZXTSGgEFAIzCYCKo1sNtFVfS85BIwMZMt1WqlpF6Eq34EIhbcEvkkuR5DC/Z3aHgxSqC+15I6lNp8ld2OqCV2RCCgu9CvysqtJzwQB8XCLr9thNgzzpo9KxFxq/m+hnZWiL7F4HCkmI0yM5lMFX2Zy96jvKgQSh4AS4InDUvV0BSGgT07Gtcuzsed0N/3fEU0LN1M731qeDgfzxpeCIPeTJ/6X+5qYF9+OECPyqwtT8dnrylCYbqMQv4IutpqqQmCBIqB84Av0wqhhLXwERDs90NiLX+9nEFswgvVFaVoQmytlfgV4bCj6gQlfl6Sf1mZCou9fO9mBb7NimzfE/ng5hLVuc5kLf7FzFSxG5eNf+HeoGuFSR0Bp4Ev9Cqv5zRoCQsG6uTQDa4tcmsAUrdxAopf51L7DsSBqB06ibuAErMZUbMjYCrvRSY15auEuUZrM9zMHPkDNe8RDIAVfjjYPsIJbmLnwlmH3wayhqzpWCCgELoeAEuCXQ0h9rhCYAAGhYbUkLwxtNBJnmlvrc3iu4eeIxAMUsMk40PE6PrP6f8JpzJjSxkJS2W0m0d7PT16emgxJJLVJvuD980eoZwoBhcBcIjC1bflcjkydSyGgEJg0ApLG5g0N4OWWX8EfZanUeIS1zUNo8tRib8ceiFl9Ks1Ac/mOVbkaP7yOUlyEt82sx13rCmg+N0ylK3WsQkAhMEsIKA18loBV3SoEZgMBSeeKDQ1HheuoCSfTxy3mcXnfR8EdjgR4WjF6D6vOIrj7g90Msjtf+3wy45JI8/JsG75810r88M16dHlC+PiWImxbnqkx0E2mD3WMQkAhMLsIKAE+u/iq3hUCCUNAhPRg2I03W19Ei78OmeZ8XJ93O1yWLE2IO02Z2vN2X5ACO6ad16AzocRRyc+nbuYXn35Zph3blmWgrsuLrcsy6VdXS0bCLqjqSCEwQwTUr3GGAKqvKwTmCoFA1IfHTv0rzvQdRpRauI5CuWbgGP5g9f+C3eQk+1sK7i37LH5Z85/o8bRAbzDhmtwdWJN5NcuhTu+nLj5w8aVrldhU7thcXWp1HoXApBBQPvBJwaQOUgjMLwKiUTd4zmgCOxQP0oweQ5hBa23eepzo3Y94PKYJ9ErXWnxh5Vdw+9Fl+F377+Oukodh1ltmNPhINAo9iWtUUwgoBBYWAkqAL6zroUajEBgXAfFqh6Mh+rov9GWLbzs0xPfPJXuJpu3QpyLHbUGWIRvGZBZWOecPH7fjy7wpFLFx0NcufYwOSb/M99THCgGFwOwjoAT47GOsznAFIDDEkqKxIDVj/snzRDcJVCu0lyPNnHnOnz2kCWaLPgXljpWa9j36nMlxEduJ0ZrjzP9Opvk8Mb2NHqV6rhBQCMwEgek5xmZyRvVdhcASQyBOYpOefe+jc/duBoAPIfum7cjYsgXJRmPCZiri02lOxwPLPodn63+ENl8T9ElGVKatQ4YlW/NTJ+xkYzoSAhchrVFNIaAQWFgIKAG+sK6HGs0iQ0C0bfeBAzj9L/+CqMerjX7g8BHgT/8EmVddhSR94n5iErS2LG01vuD4W4RiAfQEOvDzs/+OvmAPclIKKcRnR0eO04huoBFdNYWAQmBhIaB+lQvreqjRLDIE4pEIOl97ncLbp5nORaBHPB50v74HcQZ/JbqJEJegNIcxDQX2Mqx0bcLb7S+StCV44anEaS4O7Bk28a3HY8nQkSJWNYWAQmBhIaAE+MK6Hmo0c4zAUFxqec9M0CUxX/rCloShWdKGR84j2raROd7bcnagZvAYmr11UyZrGelr4sckRGMRpqFNPY984n7VpwoBhcBMERi78sy0P/V9hcCiQEAEd8Qbhq9xEMFuP+IsnTmdlmwwIPvmm6BPtWvm8mSazPUOG3J33Az5bDab5he3ZGJL9s3Y0/KsZlZP5Pni3NhIGdEQK5NF6QeP8E81hYBCYOEgkDgH3cKZkxqJQmBCBER4e+v7cfbfj8Bb10dBq0fhPeUouHsZdOT7nkpL0umQVl2NVX/1ZXS8MhzElrP9RjjXrIF8NttN0sY2ZV6HI91v44T7INaRtCURTYR3q9uPJ/Y24M0zbljMOkSJ2861ubBJvfNEnET1oRBQCMwIgamtVjM6lfqyQmBhIBAPxVD/oxMYONGLIdb0BiJoevIsbMvS4FrHiO4p+nsl2lyEuHPlSm2CIrgTGbw2EWqihVsNNlxfcCf2NP8Gy5yrYQWj3ymAZxLU5mV982+8dBon2lgYhZq3NxzB4+82UBuP4xNXFauo9IkuivpMITBHCCgT+hwBrU6zcBAQDXzwzMA54S3jSmL+dhTeWr43TTOxCOxkk0n7myvhPYKojlp4VdpaOEwu7O/cw0pk4ZGPpvwo8QBhbmpOtA7iTKeXwXFxjSKGbyNAN8PuY238fHruhikPRn1BIaAQmBABJcAnhEd9uFgQEJNvjKxk8ni5lkRSEmt+ygWadrKR0d25fG8KfN+imfrDUe1PhN7lz3y5kU3/c5POghvzP4z32nZjYKBTi4gXUhnJUZ+oCV4yjyB93b5QFO39Aeyt68GrJzpY2exCQS3z84bpC48rX/hEmKrPFAJzhYAyoc8V0uo8s4ZAJB5FV8CDloAbuWYncqyppBC99K0twrrkoRWo+fYhBDr9miDP+lABMjbm0PQ9uT1tiFrob0914ZnDrQhSe99WmYl7NxbCPk/+YWFqyzMXorIjHUcf+9/Qne3k3DqRc+styL/rThhtNm2DwXg08qZzs0MhLJuO1n4/6rt8qO/hX7cHnkAUhRlWuKxG+r318PgjI5VJyQAHVGSmMI1t9n37s3azqI4VAksIgUuvcktokmoqSxeBCIt4vNZxEj9qeIv1sAOw6Mx4oHgLbs9be0khLj5u5+oMrP7aVvjrPTA4DLCVOicdwBajADza1I/vvFYDD33Fopl2vd/KVKtk3L9lfvzDkn/ur2mA6ydHEXUPgOYIBFpb0fTTnyHq9SD3Ew/Dx4HWMeK+vtuL2i4Pmhik5rAaUOqyoTTTiptWZSEvlR50bmLiQ0nIdVrx03cbNQuD3EFmQ7JWUlQ3BSvF0r3z1MwUAvOPgBLg838N1AimiYCQjLiDLLHZ8DZ6Q4OaIA3Ewnii6T1scJagwOaid3v8eOlkCilrlg2WjBTt7FMJXItSe93f2KsJNspyrQUiUeyr68W9mwoZQjY5LX6a0x73a0Io0/7Ci4j3e5Ekg5Jpi1vBT4H97Av4r6RydOltKEyzoDzbjptX5aIk3UoBbtQ2HpLKLoI5eVT++s51eVhdkIqTbR4Kdea2s9uX6APfWJqOfPYz+thxB6XeVAgoBGYVASXAZxVe1fnlEJCgqelGS4tA6Yv44KXmfU6O8nRJ8EeD6A57kDeUxiIf4wtwbVz8aCqCe2QusilIMZFcVOt7+MxyFpvFwE8mON9IB5N8nBI2BCPU1i728Yt6N0Qj+HhVKoo3VMNo1FNQs7oYhbUE20+EvdQAr6CwL820abMKU6vv9gTx2Nt1+Nz25ZrwT9xsLxq2ekMhoBC4DAJzrypcZkDq4ysDARFOQWrLfRE/+kN+1raeOu2oCJ9Msx1pJtsHwlSEqoNpVXmWtOESmLMAp4GS78YV2ShyWWGiJm/UJcPlMOGutXkJSa+SYDxPKICukAe+iNT+vlgoXzQtztuUnUWJfPFPWmcxobyiAI4UEywU4GIi11OATyS8R/oXPA2cn55/FsYO3LU+n/ngwK7DbRrJy8hx6lEhoBCYewR0f80296dVZ7ySERDh3Rv24j9rXsd/1OzGCx1HGFAVxTJHDgxToOwU7c/I47NNqajxdmqBWekmOz5Vei2qUvM0TXM2cBbBZ2OA1+YyF1w2E1blO/HgVUVYWeDUBN1Mzik+/f3uevzzqefwZNNevOeuQ4E5jRsVx4QmaxmTwW6He/8+xEOhD3jQdVYrWeF2IGvb1hkzwwneJoMOpQxy++X7LZy7ETkOi2Z6n8mc1XcVAgqB6SGQxMX0vPVxen2obykEpoSAaNs/rH0Du9oPUQuPUBOk+Zm83p+vvBXXZiybMu+2aKiD1Fh7aU53GVNY6MPCUpsXa6JTGuQkDpafToT+5iT+gjST9AyDu8Sn3x0YxF8efgLtgX7WAItrdb5LUtLxd2segNNknXBUkjLm3n8AjT9/giQ1x2FwOZG34zYU3ncvjA6H2Msn/P5kP5S0swMNbjz+XgP+eEclijPs3FxM9tvqOIWAQiBRCMz+Kpeokap+lgwCUQrc44OtH5jNZQsZpFA/1t+M2Chv9mQnrKOwFuFWZstAmtE6J8JbxiZar5jPDTRJJyIyW3KyG/296KN1YjirnAQzxKrdP4DO4MBli5UII1z6ls1Y9f99GdGKDGR94REUP/hAQoW3zFtM6muK0rC1LBM/eqsBA/7QNK6a9KSaQkAhMBMElACfCXrqu9NCIJkhUZkmmoRHBXzp+CprzHtT6VyEqeRCy+NibRIAl2600Y0wugjKEKx6s7ZBmUyAnNC46ixmrRpakpnMcBTqidK8R+Nqpin9dvKiy+PT+1s1lrbRn6vnCgGFwOwjoAT47GOszjAGAfFbf7RwE/ItLuZtG2DVGVHlzMdNOavmTHseM6QF8VICxvKtafhIwQbYKbRNxCaNqV/3FW2mZYEscVPdnMzir1u2SXazAZ+8phjH2wawt7YbEYluU00hoBCYMwRUGtmcQa1ONIKAaMrL7Dn4m+qP0pTeAhM1ztWp+Uil+XvKQmqk0yXyKEL73sLNWJdWjFZ/H4rp/y5OybwkKc0lp01zvOA8m02uVY7Tgk9eXYT/erOOxC8Wpp05EuJOmM1xq74VAksFASXAl8qVXGTzkFzkbIsDGeYVNPHiita8x146M4V4pSMXy+25WnDYlAUxWdSkJQ0lz7pvWtjnVjAKf/uKXPz4bQa13VKJdJt5Nqz2Y2FSrxUCVzwCs7tFv+LhVQBIxHIoEtdqSY9FQzQ4EQBzETE+9tzz8VqC90LxCIP3LiwSMt5YJDBPsJmy8NY6G46MF3yHRfl4Z0jce+IHv3l1NjKZUvfkvib6w6ee05+40aieFAJXDgJKgF8513pOZyqR5QOBMJ4j4ccP3qzFG6c6NerRxZSzGKfAjQ9dXtheDliZsz8axm/J2f5ozR4823oQvUEPtePZQmNYcJ9TxC83vIR8nkKCmAeuLkYDi6Ls4bWWYi+qKQQUArOLgDKhzy6+V2zvvlAE33jpjMYPHqUWLgQgd3Z58cltpVrk8kIGRgRrOBZCT4AlNckWl2XJgYXsbtPThsFc8Qh+3viOlvceYt4748RxpL8Jf1p5O+zMWU98m62NwaVHKtp+pt2MT24txfdeP4uC9BSszEtV/vBLQ6Y+UQjMGAGlgc8YQtXBWASkWteZjkHsJ9lHgDWlhezEy1rTzx9rx6A/PGt659hxTPd1gPSuT9U8iq8f+HN889Bf4j+O/S3avc0s5jH1KGvZDAyGgnip4xi8kZBWSztIgX60rxknB9onR5M6jYmI6Xy6G45pnE77iuTCL8+x47bqPPzk7XqNN13xRE0XTfU9hcDlEVAC/PIYqSOmgUAwOkTz84WaYIzFMCIseznTRV2EoviTJ8URPsWxR0koc6TnHeztfJXlST0IxPyoGzyFl5qeoO86PMXeeDghiJKeJjrG7y1ELeEh1tqepaYhTx/6XEeTSQGU66uyUZJhwxMsRepT/vBZusKqW4UAN+kKBIVAohEQWk3RxKR0pRTNkNdS9KO6MBVpjFAeruI1vbOK0O4JePFu91ns7a3DYJiVyMZsFKbX8/C3xOfd6mviRoN84udajEK9xVt/WSa0keNHP4ppWdLj1qWVQKLLhbzGwAC1PIsTlRJlPpthZnPpBB81aSv94fdtLkSXN4RXjnUiSCuMagoBhUDiEVA+8MRjesX3KEIrzWrAHzGl6BeMSm51B1CZ68D9VxXPyP8tGn2tpwvfOPU82oL92kZgpaMAf1J5G9LMwyUvZwq+LkmHXGsB2dCMiMaGo6n1yXrkpRSRl3x6+10R3J8tuwHpphTNbJ5D4X1vwUa4ZMzEajaaZkKXeqHz0GRKaax89vDWEnxr9xkUp1tQTepViapXTSGgEEgcAkqAJw5L1dMoBCTPe1mOA392+0pqrtDqchv0oo1PX6hIEZSnmvehye9G5Fx0+LGBZuzuOoG7yV5moKCdadOxj3WZ21BLs/mhrjfJSR6j8C7FrSX3UwCRlnQaTWLCs62p+Ez5DZrpX8SYkeQ1M8Fi7DCkill0JGJeaoLTXZEkG44LvRhjvzZrr8UfXpZpx70bC/GTd5vwxw4z8tMUUc+sAa46viIRmPmKd0XCpiY9GQREQEmOcKKaaOBS1GO07ztKYdUZkEIfiToLYDVY8bFlv4sb8nYiFAtS+ObDZpRyntPXIGXbYuTmYHpbgInnFmCK2vPtR7Cn8yQ3GTpsd5RxrBTi4ruYxyZFXraUZ6K+24fH32nEH2yvgN1inE2nwTzOVp1aITD3CEx/RZr7saozXuEIiFa/gpSrRhbsGG5D5AvXY4WDtb9noNlfDCs3HjoLCuylKHdWwWFyzkh4X9x/4t4RzXt35wk83vAWzno7aKJvxaONb6AuOwVxwWR+ZTgsRh3u3ligZSM8f7hd+cMTd+lVTwoBFcSm7oHFg4CR/um78zfi6vRlcLDYh4uVu3bmrcPWzKnXEJ/MrEXjTuY5F3ITs/l7PTWMlg9rUf8S3R7ge7WFGRji5ma+m+wfUq0mPLKtBG/XdeNIUx8DBKeejjff81DnVwgsRATm/xe+EFFRY0oIAuKzFrO3mNINFIQzDdiS72da7PijylsxGA1Cz/2nzWCiRj66/Obkhi6paKK9yvgkOM1A0/NibOJfN7Oam4Yt5yItiXMzMgBP5sgQ/XmflljyC9JS8MCWYprSG5CVakBm6jBfutDoGrnRmBvS13mHQg1AIZBQBJQATyicqjNBQARHX9CHVzqPoc7bg9KUDOzIWZ2QSHFZ6C16o5aSJeeazqZAxtflH9TG1xkaRJU9DzdkV2p1t+fZ4ixTmlKTjcfOvDWa6Xwg6sMQc9UdugHYkkgU4zsIV6QIjmTXvLsAxB++vtiFU11u/P3+VxCw9bBm+RC2uErxQNHVyLI6lBCf0pVXBysEGBz812wKCIVAIhGQoKp/q9mNFxlY1eDvpnBpQSuDzza7ShISKS5jFcE9HeEt3+0P+fEPp57FG92ntLS0I4xkD5LidHVqgRYEJscslibWjXSTHWvSimBOHoI+coTcrafhdQZRH6rF2YHjqExbw83J7KWsTRYrMsvjcPgU9vtOwhsL0OwfYkZBL3rCXmxKL120VpDJzl8dpxBINAIqiC3RiF7h/YlJus0/gIMkWQlQKEqUeICm9EN99Wjy9Wom6/mESCLYT/S30DJAghGamYXRzRcNaYFgPvqRE0kKM1fzFC28NMWFSmsSgqFGnpauC3oEwkMhEtDUYk/bc7wOs8f6Ntl5xuib39t7BrwrxLiv/YV4b7zvrocnwYQ8kx2TOk4hsJgRUAJ8MV+9BTp2EZLjeV6H3xvvk7mbiAhokrkiPibvTILBYlEGVy02G/oH0DHFzt+I2BhBHSVda9NgDec8/2xocuVjNJuPbQI5oxHGvq1eKwQUApdBQAnwywCkPp4aAmLSzbc6sdpZqKV4SYCYifnPlfQzF1rSxvXFisCXcpsD1MKCWjT17C3mMp6VTEXLt6ZrJluhMrUwCG6raznsJgZWzaIEFz500fbFhD88z4uF2dTQPn+0RMzbDakXRc3LfBxG4j6L8zo/iomfSY765rSyc/ELw3PXk+51RWoeUg0p03aJTHxW9alCYOkioHzgS/faztvMDMzTXmnP5/mT6Hs1YnN6OR4puZZBbFykxwgSiQTf727A/zn9PH7GkpsnPe0U9OlIM87Ogi5+cxMF9kpHLouTxCj0zLg+cwXuL75Ki2gfO75EgRiiuf61ruP4Z9LA/rJ5L+p9PahIyeI5JRp75mo/Oe40AX6i7wACEszGTVEyBWaKzoEPlz3IILGCcTdPiZrfZPphHgLK7VnaRq2bQY5CalPSGcDvr7gVGQ5XQnCYzDjUMQqBpYJAEk2KiVMDlgoqah4zRmAkTSvG20vSiAxJTPoaI6jk1msL9OF/HXoSnWFhU4trxwlZy1eq70GK3jTjcVyqA/HVR4boK6YpXQhiEpHmdqlziYXhFEuHfu3o09AixXmgWCWuzarEF5ff8kFE/aW+P9n3pRBLI83lu5t/jcPtp1GQmoPbSu/EivQNZIGbDQ64yY7s/HFyzUM080u8QcQXQOdjj8ORlYvie+5GsnFhjPH8aBP3bIjUtkNCccvVNokR+UnzzJKXuJmpnuYTAZVGNp/oL+FziyYr1KETNRHutd4u9EV854LbkjSO83oGmImZ2cL85rFCf6L+pvKZ9GtKYv74HDiRZLNwggxp/njwg9gAyZE/SMuDCPdENSGdKXYsw8cqvoCGM0dx07IirEzPTFjkfyLGKdYGyVs3kQt+KNUKy47bcOb/fgPZ110Ha26OpBck4jQLqo9YMIqBU254jrvJjhdH+vps2MrJ7keWOtUUAjNBYOIVdiY9q+8uagQ0swwFTyLMu5cCQtZqpz5F80UHzwVfyfJt1pk10/tiWcrFXC3WA/EO6GhpGNsEQxcrkekpYMPngsnkvUwzc58TLLDEF25MNvFcVmp7Ju5PFqaQkHnLn624CKnVq9D5yisofuB+JJtmz+oiGvBQlFYX1qRPppsnSU8CmVmukBYLRdH8dC2anjyNOAW5/K6af12L8k+tRu7NRUqIj/2xqNdTQmAO9I8pjUcdPM8IyAIjJs7ugAfdQQ9EsGrCfBbGJQFlFanZuCFrBWw0l4vG7jBYcF/R5mF/dIKF2yxMgVHfUXT42/BO+8s40PUWBlnmdKxXStjGNrnKsIE1wSUmQMznLqMdHyu86rJWimmNmRsJky5ZS5Gb1vfn8EsisHPv2Ined96Fr6PjIuwSNRQR3oGuLjQ+/jOc+qd/Qt0Pfwh/SyuGKMxnqw3RPeNr9qL5l6cRHSTVbZgbCP5F+0No+OlJBPsDw7l0szUA1e+SR+BidWHJT1lN8FIIiKD2RAJ4rO4t7CHJCZOtcE36cnyqjAFopsTU2x57bjGTf7biBmwgyUsPNwzl9mxUMNApEaVBx54r0a8lr/nswDH85OQ3MRBxU9dNRknqSnx6xX9HqimNpztvQ3AYzRoF7KG+JtLABhhEV4ACG2tkU7gnvPFCSr2XaFgS5hZ2Ew3YmpODtI0b0PniS7A+8jB0ZnNiB01LUri/H6f+4R/gOXUWcWY8JDGQ0f3ePqz+m6/AkpeXcEuITED83t4zfYgFx2wSeFGigyH46z2wpLPEKjdbqikEpoOAunOmg9oS/Y6kOb3acYKkJscokHwYjATx256TeKHtCHnDo7MyaxFxIsSvyijH7flrUZWaq0WJJ+pkQmASIb2oCNtEtyj7faXxKbhDXQiTVSxAdrE6Mp/t73yDxCkX4iUxAXajBddkLcMtudUotjGNbZYKpYjhQscIdG3GFF4LvSWbTci57Vb0HTgIXyu1Ygn2SmATk7n7/ffhOcN8+BDjEFhMJR6mAOW5ut94E0ORC69VIk4t2necG6ioL0xJPs414EXSW2dXfxJLUJzcBvI31iqUiDmqPuYfgdm9g+Z/fmoEU0BAi5YebKMJXRa0Ye0xzPSnU0ztSmSw1XhDEnO67rzCOt4hU3pPouB9IQ+OuN+FO9iNUkclKpyruTlInHYni2JfuGfY/31udLJRGIj08ezjLNo8RtO4EzjPS4GiJ61qlBrgYmjiCzdnZiLr2m1of+55WH/ns9BbLIkbOjcE4T66Nsaay/l+qKeHAvb8hkHuc2HnE6EreetyX06lidYdo+D2NQ2g/eV6dO9rZiF4/p6i7OfcaZIM3MxVpMFawhiIWdK+RWgHu3zoO9itDd+5PhOWrBQkMwJetaWDgBLgS+dazngmEpmdzcAqWbS0RYw9yvMsvnc5IhBJYRKBJovxQijBGaAF4fGz/4YTve9zLlHyhJtxW8kncEPBh2men3r1svHAlXkud1ajJ9COUCyobXlkg1BBM/p8YiD7Ax0FQ4SCaHGIcI6XKWQZN23Hya/9LXyNjXAsX56wALMk+hNSyko103w8TI34XJMgNvvyZQKW9k6I1L/HSLO7lzTA1FuxJb0C1c6CSaX5aYKbAWveugF0vNKIwdOdMK0OwnDHG8hLp3XhWT28tR5u9mLQLTeg4g+rYUiZnbQ50f49NXQZfH0fgh1+bW5m1oev+uMNcKxIVylsIzfAEnhURC5L4CImagoiwHPNTpzxdMDLcp1CyFJizcRnyq6HcwJilTCFV4OnFqfch8gwFiTzVypNuPO3NxQt+FTfYZq3n+R4ApqGLGb0dm8zrsm5CSbWEk9EEyGdn1JCHu8BVl9zI5WMZzuK78OG7GsTtkmYzjhjXMCPNvfDbjaiPMvGazEHKv90Bjr6O7z39Axoi4bCcO/bh7R16xmhnZiNlvjZTWku+qID8Dc2a5tMycVOqShEyUOfgsFqpcsjhj2dJ/GvZ1/GicEW1Hg6sdddBzvvlVJb5iU1cRHc0QDTxE70oPGJ0+h4rQm2KmYBXHMK4bTjqLj6U8iu2oysbYWI+Jn/XuxBy84GrKm8Bnp9YuY3GkZ5Hg/FUPOfRzgm1h6QwLkox0hTfngwgsxrcpUWPhawRfx6/lbZRQzaUh26+GmzLKn48qq7NLN5nCZGjebSaL1kPnaEhBx7WnbhpcZfIDQU0FKYbsi/C7cWf4x1nmcvJWjCa0BLQIhsZFpq17kDRRMNxwNa1LiYt2WuM21ibXBaMvDxqs/hHsYLiN9Z5qxPkIY/k/EZaKaNRBPv95/JmC733WSDAdk3fghH/+ar8Jw9A2d1NU3Mw9rx5b57uc91FjNKHn4Y6du2wd/chIHmk+jbu08rvyrm8jA3fb9q3Q9P1M/7Zri3KAM6f9WyH9ssZXCk2LihOE/AIkJRUsT6jnVT425GxB1A5g15yL7XjpaWJ2EwW1C14UuwpGRT42XKmjUGo8MEV3I23gi9yI2lDyay8CW6aX7vCCPuW71aEN1I/7LRCLR6ON/FYpMZGbl6nAgBJcAnQucK/Ey08DTmLG8xlmmzF9O5CKrxmiwW/aFevNL8FBe+Ae2QMAX6b1t3YUPWtchLKb7kd8frL1HviWZc4qiiRuxCb6hTE+RiNq9MWwuzcG4nQHiPjFX60ifRFGrQaech79zIR/P3yMuVzP9EE+clWjyN95nR4UDujh1o2/Uc7MuWQZ+Skpjxs2+Jbk+tqoJj2XJk+K7C/lMn0Pj8z1Dxsd9jfn6csRJi4hbAhu93eeZm9Pq7f/YqCpbloeTjy2HNdzDojUFxB7souJuo1UeQs70Izo1OeINn0VjzBFzZm5FXfjuMTBUc6UsmkcRCLiadBenmHDR4a7A6wZYqCc4LDYQwcLQHSUISI7/bczeA+L7t5WnKfC4XYgk1JcCX0MWcyVRk4ZKKXNKEcGQywTuiyXojA4zADvJbIwsftZk4F5FwH3JSCplalRgNShvYJP+RDUe6OQsPVn0RL9Iy0Bvo0ALYbit+gAtoYq0CgluL343nGKnfx7rW65zFuCG7EhbmtY+/7ZnkJGZwmLap4C87ygV9sTXRwjPJytb52msYOH4crg0bNMKVRM1DzOnyp7fZUPyRu1H/2M+Qf9M9MGZkoSglE4OsDT8SOUDSNKR20czdE0FvJ5n0GgaQs6OYgWFd2nBybymGc30WkgwRdLa8iu7WN1Gw/F6kZ2+Abjw3De9LoRRe7qrG6d5DWJG2jr+OxCzBolkPnu7D6X87qGnfEgE/YkrQmXWwlaWh8IHlijgmUTfSAuknMXfPApmMGsb0EBDB3eTtxbu9NdqG/ZqMZVzMXFoU7kQ9CutXujkbGZZctPmEFjSqBW+5TBnItRRqWuBE35/Nz8QHvyytGqWplZpmLK8NpE5N4pgT1WQD0xUYxD+c+A2a/VLrPM7CLHVwhz34GIujXI5KNlHjGK8fPUWDBLEtuiZCzm5D3u23ofWZ3yB15UpN2CZ6Hsn0P2duuA4tL+5Cw9M/wLJH/gQfz9+Ir3e1YSB5OAvD4tFh25tOGCJJ5Mxn3fimQXS81IjiT1TBtS6LGn0ywtzANh37BfzeNpSv/h2kOGh1ihu0FLLRY5bIdHZBoUryIusq/KzhOwgFAgzeO78Ez2TDF/VHUfO9o/DVD1xgOk82kJvgoRXIvqmIcQAWpYGPvihL4Pn5u2cJTEZNYeoIiAZZM9hJIfQseil4pL3UeRR/seIuVDqyKZAnFng2owP3Lfs9PFP7Q3QEmpFhzsVdZY/AwWC4S5nepz7K6X1DJ5YEmixnq8W4Ih/oa0ArC7JIZTNpUi70pfZjuLtw0/wKcP6yQyGxiywmG/rwlUpmdHj6VVeha/er6Nm/H9n0W0vEeKKb3mxF6X0PoeZfvwX/9npknmnCg69EcVrn4kZWh8JWE5wDBiTHz4lWQhllIJqnYRD+Dg8iDF7s7zpIbduKtMy7qKXTtJ7UoJmtxfU0gvwQTefig/YwqIzVU5EScaCgqxgnj+5HZgpJZEZsNaM2XKO3Xqw4deHUtdfsk4/DX2FhHhLDeM4yfZHnuaDxfDEGtRnttAgthmDGCwavXlwOgcT/Ki53RvX5gkJACFpE4PSEBj/Q2MQX+ELbIZTZbqbJeWIBLv7mCucqfHHd3yLIACCz3kJ3sJEm+Cvj1tKWyzFrphRpkcV1vpq4PiWDQGheR/tg52s80zmvgb7v3J13oJ2+8LS1a2FyOqfTzYTfSdLp4SyvhrEkCzU//g9E6wPIK7kTxkOkD+Z+LJlSNEkk7kjjJQ17gug91AqdKcRAyQZYM3Jhc5SSIpWFd3j8EPPvNUHJn83INz+4E/iGBL8N+YeQGcxBX28XawGw2IyZZnpeNIk/GWmycdbuIUpo7V1uFuU/GVh0KIQY0ySj/J1GooMU0F6EGGEej+fx6xf/XsVloNrSRODKWGWX5rVLyKxkcfGxStboHb889zHt6oOF5zJn0jRdCm5Jz/pAm7jMd5bCxxInsCGtCNmmVLSFWGmKQlsqbd2Uu4LR6PP709Jz0Y6QzINSYFFCLRq3+L/bX96Nvvf2Imv7jRD/+Iwb4RAtNc74AAlG8zUHYUu/hRuF71KIkgUwZGMKoJdkLLL5ubDFdTF0lbbAUjAER6cetkg5AifYX6YH1kI7DAUmpBTZYcpPgYkaLyUyo+gpmHkt4swIaOL18DFPvPvNNhj6eX/ws+i1IRQ8UsYNipG/N7leHBevWZzuqHBwEEF/B/yeNu0x4G9H0NepCXSzNQdmau9Oez4j3auh12Xi0D/uQ/yk+L7PbQT4oLMakEYSF0mbU23pITC/q8zSw3NBzkiW8DApRaPcxcsu38C0FglUkyYL/Za0MhzobWCNZtpc2awUQltYfGOqPN2JFN5ahS/ZRNA0LWk4yaxnnUj/tTbRGf4jLgJJu/sfq3ZiV+sh+r4ZxMaCJTdnryTG8/vTkuwrud6LuenIxpZ/5040/vRncG7eBHMa+eVHaamTnZsIbInQlsfQQBCe0270H+vFAB9FOTWlh+mLprulKESyk2pWC2tC+4tNiAcEvxGtmGZqZwD1244i5AqikFanO4vXwpGcjnAH88tbPExP86LtxXpStHpJ0mKAOc/Oamt2PtpgybYi3BOE+0DXsH9cfpQRxlC82YIkUwzp99CfHu6EnwI75O1AgI9yaqs1FyKsbWkFyCjcDLMlG0Zz6vBvQnNvUVPnf82DdXjn6tewofEamKL0dRMnoWot/sQKOFT0+WRvlUV3HN0ri3SLvuignp8By4+70z+IJ5vfw6G+FgadpeD+wi1YQ81RBLm0IBmoxIwuPOiiBXwoZyVuz10zKQaq2ZiVCG9vfwMaz/wcXi5MNnsJiirvh91ZvuCEuMxfNO8INSb5KYk1YgTX2cBmMn1K9PnrpzpxorUfv3fjcqbOzX0mwGTGOZljoj4fTn/jm8wJZ/nNW29lFPXl2cvkOmi+YGq8UtDF1zjIiPZuDJ7sg7/dB3uZA6mrMjVWMsn0Ovudb8GUm472t15AzqdvRpw59INvG+B7j+cKcuMI1i4ns7z+lmNwX63HgRiZ4kwubTPxkbJPoziF6W4STa4p0EKlGkGg2w9/Uz+8JNTxM/jN3zyIUAdLmQbHWkSYeGinAP9CIwubZFCbzoHFlkehnQ2DiVSrsnkVc7qEhHK3QX3+gk2MzLUv1I3/OPS/Ydyvx7b6HSi7ZxWhZanW0lSYMywq8nwyN9oiPWZ+1YRFCtpiGrZwmT/W+BbeZHWxEJ+3B3sZbDaAr66+F4UsqCEauZmVmW7Pq8bNufLDp/90noVQhD69M4f/Hd6+M/TrRaiRdDJi143qa/4XtQ+p8rWwmmBoYoT7wmnUvrjYR2Mj2uPCGdlURyK52+ILr/3eo0i/htplOqlAx9HChyistQIifAyzXKewkA0c79W0bT0pSx0r05G3sxS2ckaV87XGQU5/cu8775ClbAC523egy/lbdLhfoh+bluwS2pNyKTQ9uXA6N6L/13ZYO7dgU9UNWI9OPNPwY3IguPHjE1/HrSX3Y33GNcNBi8w9Cyf1Ue7XYdB5GgE0I5jejUg5S4c+dy0jC3n/jvarayKZ9Lurfx9GlwRcDgtqeRxvnmPxC5Cw6Omz/4XBvj7cfOrDqHh4DVnssljvnJPQZP3ivwfGzlm9Po+AEuDnsViSz4LRCPb11lLLHvbpSYDVAE29xwZbSQOaRgE+rJ2JyXchiCDRviUlxz/QoAlvuShxBmP5Bhvhoy9Q00rOjXlJXrBETIprtqzfTFxarC7wD1AQJjZHRQXspSXo3P0qCu+5myQl9BcLSc0507iU6/QyR3uQArv/ZC9CXX7YlqfBSd7vgo+Us1AKS3bSByxkJuKT1hp/B0H3IJp/8wxydm5HY8PPENUNahYo0aQ1+gIr7z1zIwbifXBu+iQ8h1ggpCGAnMocPFj+e3iNVL37u9/BrjOP4ujZn6MqmAwDf2cS7B3j2AwmxoWYXXDmrSEXezF6zhjR30c2NJrOP2i8TsYSM+lcU5gxMbVfoPAvvM069LXuk7i+9TZkFhTAuSpDcwd80L96sqQRUAJ8SV9eWchZb5mkIoOkhRxZNsQkZ9Nf3hQppmFpo6Nj5wIuPSkmxXQ4uslGQ6eRsCxcjULgEsxkhMnzmbLDMRgMevpUKYkWLlyjL++Ez8UXnnvH7Tj7jX9FxrZrmc+cgVBvgBq2G4PUtAeZPmV0mjQtu/CeZdSyHdAzslu0bBHY46VPxVjUpPOV3TBlZGAoNwn+003DwnvsSBhVHpegtuVHENtXihPffxa6m95HXE/qVESwnu6Jo8YYGmODcFusuCPnwyjN2kzfNQPHzvmotSC2CGMSymsRbmtBqNOv8acPGWhuT49i8LZBOuJHfp1jBzD+a8kwqBs8hVebn8YyrEbqATuKvrgcOota0sdHbGm+q6720ryuH8zKxF39PQWb8VjDm9TCGaxDu9qq1AKNMUzKJY7XZCkJ0nfY6w0wEIqBWuRwtlAgjGO5HO/rM3pPFj0z/YDZRdvR0fgyNRmOmZuNzIIPIYXjXmiBbCOTjdDv3DkQQEOPDxmMQC7NsMNIEo35kJ9aABNPHJEdxdTkwsh0ZvVRzN0x8nULNpqQ1Y8vZIe1bCZPMfXKkJoNvauQFbZ+xu+sRdQbJ9UqtezVmWQYq4LJZaKGTc5xEdj8Gw7tkfmfM63Lxor52GKSEFKWQFsbOl59BeWf/wzc/v1MuTtfpWzs5MX/7YscQ3JmOuLdqUiLXYecLSt5PxaShc2ED4X7savhcdQPnMav3C/jI6l5WGXPu7B0LUuZJpt0yLiK0eO5Npz93mFEbg2jtvwsrepBXIed9KJfflMtY5O59TDI7aenv41UuLDhzDWwrmHAXIkEt83HHTcWMfV6rhBQAnyukJ6n80hA1a25q1FgScOxAQaxmezYmlHBIBzaB8dpst57AhH8556zeOsMiSe4AK4rduEPt1cg007NeA6kuJ4Wg9KVDyE1vUoLZktxFCE9d8s5DXycQc/zW1Gac9+t7cF3X69BP4k+DFxEd67Lx4PXlHDjM/4mabaHrOcYJFVqobUYK3f1vNeO7rfbEPNFWM7TiZzbiFMmOc9F9kgWlESMU8gHWM968EQf+hmA5qOWnWytQLjzeZR8djtcGytYM5zLF+eZJLnXSeIwiDJvmwKOm4MoCXWiJCaKCL8BCVci4UGEQwOsdjbAnGn6x58/haGcMM7UfwdDepbCPUfEMx5eSXQvZRVuhf2j29H0eC0iB8xw7Kii2XuYJChTn4IHKr+AvR27WQHvV3iq5vto97WwdO1OWA0sgqJp4pwex5rM+8FZnQljKv3ed67BnroX6BdnIFqwhxtXiR6nTX2CJkGp3sggfsJSuTT34B77p9F/uBvl/6Oauenzc69NMFz10SwjoAT4LAO8ELoXLXytqwjVTEWRVXKiKGmJYN59vAN7TnXDL3zKbPvq3MhLbcGnriuHkdrS7DcGYRmsyMzbSsF99XD07QImhvGHIvjRm3Xo6A9qCi/DlbDrcBs2l7qwKt85L+U8h+uBU5gtIBVcGMGan65B05OnESP1p7S+I91wv9+FFX++iQJarwlqqfAlQWiRQBiplU6krk9D0SdKKKCG0PjzZgyc2g1jFQW01z8snEMiqMnJT0EdPSew49R4DdysGow2lil10Bri5GMqrMxo0HWaGWPRiOV//pdM78pGf88xnD7wTcSicuUubkl039gzlsNVnouWXzQi2BVB/xE3telczbcuQtdKIb4t7zYGhlbgqdpH8W7nS2j11eHusk8jnalf3GZoGxTZIMciURZpYX62PUuj++0MtOJM/2FkWfMum7oZ5Bifb/yZxu//QOEfIvLLEEuV5sOaY1Pa98WXbsm/owT4kr/EwxMU0pHJFCiRCla13V6EqQGNtDCFek23T6tuNfLeXDyK5rPQdQoxZwboa+5hvWU+HdYi+RDi5qeDOccr8phapqmWc4HY8DnESKKnKrqQNHDBKdTrR8sztYh66BA+14YoaD21fSwh+haZxUIkQdHDVBKDfTvLwaYNUqs+jp6oBx2nBxlVz3swnYL7RQ8CeZ2wFuVTC2ZUOel8LSQ0kUcThbXexPdILERb+jnBSfF5TrMNezw4/f1/YXDbR+HIr6BGbERa1lqmbuXDN1CrmadHxqY9MmJcn0zNmL8LCcHIvCEf/czlbn6mRtOkDY7zZm8DuQpKHZX4nVV/gVeafoWD3W/hO0e/hvuX/yFKrcuG+6b5Pu6LauxrUiFvY/Z1eLLu+zjRsx9X59zMc106kC3KjIwj3e/hcPe7+FDeXcjqykNzw1mUP7SagX0Ta+4XzEm9WDIIKAG+ZC5lYiYiAWt5TjOZnZiGdM6sKObYAhZC4MOcNgkIizKaV5qOfk3dHJjvpzpBcSnYzXqUpKfgJLU/MacLTDZqkyUZjCyea9DOTcBAU63mA5/qhGbreOLib2IwGDc6Y5uQrAQG3DCuJXlJJj/lvTZkSdFyoU0WBmZRkzZbKJSpQSczx6s18CzCzT0o3fEIzeh0BfEaaFXGtPtD0BeBffHNGo+wqtib71BrZiGTrVs14R0nB4JwDgT9XeyDvOf8rriNpPGOw1APq3htvgcdTa/C521G+oYdaH+eRC2pFvTua0fWdfSD894cSdlKpsvKaU7HnWUPocxZhV/X/gA/Ovl13JzHtM14qTb+aJCmfpr/JTCzLHUFLEkmNHtr4aUFQcqNjjt2jqnV24hnG36M5c5qXO28EQ2PnUT+jlKa48lzPs58tUmof5Y0AkqAL+nLO/XJGSi4b63Oxck2D46QhEKcihVZdtyzoYDm87nb5YsloLXPhz2nu1nxKY6ry9OxLIem0Dkcw2TRM1FYfvb6cnzntbNodQdgZZWqB68qowAX/+fFgmSy/c7kOGHRE9wWjAWdOOjtDISU/DZxdI9qoh3bsrKQYi1HlObpSG2IJm5W6A4w8MsaZo1wL/+otaZScDqooSZXom/fW+gpO0kf+nIYuOGU3G6hJhW4h/iPhjsfpZCIPJdtYLC7mwxrL6H8d3+HLGVWLU2xnylYpw/8K5/HULLiQW4acpmy2MBO4qTDzUH91zth2pqP5eu/iJbap9DQ9J+wVG6DMcmqWRNMGeyHVgQLA9NMzOMWRjcRplITYG3G1chhVb6n6x7Fq01PY233FqwwbIQt4IDBwuO4uTNSrd+QdT3TwV7CaZrRrzJn0HpyoRYubpD+QC8eO/V/mD2SiruKHoZvv4f561Gkb8vV/Oqj4FRPryAElAC/gi72ZKbKtQeuFBP+YucKzZQu0dXlmTY4rEJlOjfCSDTvZgrvrz59nH5lSX8bwssnO/AnN1diU1n6vGm1l8JPtOwVean4+/vWopcapt1iYDU2AwuKzN2GZ+zY9IxVkGjrYfvF2E/n/rUIq5SiVDiYn913tEcLUhsZhY7+4JJPrUba6oxhbZrXn/9rkepS/StCYR6lOyLCgh3hwSDCbjNJT1ah8Ylfk9jlJvrKKW/pstDbjJo2qrMbYKJWqmP2hJEmbkMqC42Y4uh96zlYiioobItpro/C01+Hswe/w+A2D83oa5BTcCvN8FZk5GzR7nXJL2+KvoB2ZkOsXvY5lK3+DDqb9tBs/TZ8b65FfNCAI195S9skSc3t3B1kDGTNbYONtnb+VMQcnmcvwqdW/BnebnoBtfuO47D7TazJ2oZky/BvScrcrs/chtdbnqFp/D1szLrhIjO6P+LFL+q/yyySID6/5n/CErai8fmTKLiLMSn28yb8ETzV45WDgBLgV861nvRMRVCnUABJAJa0uTYDi9l897FO+pADEP+7tD5PGM8eacWaojRYqOUstCYY2S1GDTdZmudqszMeDnJ+6rpzHrMw3lhGvyeBW2V/UI0D//Ye4rV+6IWRjFpz5vUFmvDWs/DG6CaLkwhgkEdcJKKWGkbLjEj3kDsfx/7mqwxuSyd5ySrESY4S8YqgDzPKPIwY75cwgwoDHYxkP92DQHM9C5fsQ7L5Jhw48SYFaJRZ3N2I6UuhSymFueo69Hh6qOGb+CdCn2Zpjm2IYwx7+tDTdAgZeZuRlXsjzDcU4/jzJxDj+TRJzX8lur5lVy10Nj2K7l3+AX2pUJ9Kyd0bCu5EZm4Ojpx9F2/WPYvVQ1tYnyAEM6yw02e/3LUWp3oPIhDzaulnI/dPKBbAG6270Nh3Fp+s+gLS9dnofLUVeo4xbW3WOYsGB6DaFYmAEuBX5GWf3KTnWnCPjEo07mCUvNGihp1r8p4Ei2nqzsibC/BxvkzmF0DBDZgUQxN//EJqmsm4IAVHHwKWBwtQbS5CrCeMjpcbtJrVYwW4jF2+MyIkaSD/YDqmdCepUW9F16svIa1a8sBTSOZiBvKHD5EcchH0cgtFPV6c+uaLKL2OQnT7dnh66qkNPwZdgKwIfvIcZN4BfcwOf6OXWj6j36npRzwhREjJGu4hs9prW1D79hm4i2jydtoRZzT9UFA2kRfiK5H1Ha80Ie/OMhjHbDKlxG46zfPrMq/D6fBhnPIdRmtdM26v+DgFvB1bsrfjlPsgTvQexpqMTdTChYOdPO39x/Fm24u4sZA0qSygEumVczSg4rNMG2PshWpXNgLqDlii118WrgjNikLpKLt5A0lFdDSrLoamVUgrTcerJ7rgoalTmpVRtlvL6R+cBbN0nP7OiFY+Vaq1sRgJfZAjUcuLAa+xY5SrLEVVRICP2gONPWzOX4sG7aHWeSrSgXurtyDD7GRxDxIG7W1FD/PCc3cUf6C5Xm5wUlo0fds2krG8xjzx40jfuJHa6HnLjBZYxk7i3Aj2Hz2IoRCZ07Zfh1C8HQ3NP4C5MBXegToUlN+J/NLNDJKkps/x0esguv6w4PdGcOjP96Ds0yvRVreLn7UwaG41/GeYLnih7B4eLt8L0vXTNHAWmToSudAPLkyIEgwnsl42I1a9FdX0g7fbmrG79zdoCopm/SX6tu1a0OhTNf/BPPLvwmF0ody5Esd69lFwr8DWvFuhjxrQ+soZ+v3TNBKbkTleDiv1+dJFQAnwJXhtZaHs6wnhxScaceoweZzJUnXLfUWoXJvG/Or588tOFmrR/MVU/oWbl2PXwVYWYYnjuqos3LomN+F+5TgLWrR46vBS05Po8LeiiHm8t5Z8jGVCmeN7LvVosuNeSMcZGVgXJYPZKKV13ocnVCvH3M0oSHHBZWaAn3CT0xecf2c5ah89hnSylJnSx4/Cvmjw3JQa7Xbk3X4bWp/dBefKlfSB2y48jL+DMIt8tDzzaxR+9F76kLtRd/z7sKUWo6/zABzp5cgrv03jLB/54gW/DsIX5/sNwW8AAEAASURBVHkcjLswlm3H2SPfQfG6q2nuz0XP+x3U7MdE1HPnFHFFsavxcfQ397LyXw7rDZTwrxi5pkKazGniZ20CKWZSWliFz65aiZ/XfxvfOPRXmsbti/TT6qTtIOCPetHF/HAzo9JvKb4PlmSrVqa09512VP3pRo3VbWTM6vHKRUD312xX7vSX5swjoTie/H4N3tvdgYHeMHq7glx8BrBqM3fu9J2N+NcW8uxFCy+kWfSGFdm4mQvmSgaJJdr3LRsdSd353vF/pKnyCAbDbrT7m9Dlb0E1I4glT3exNsnjf/54G25ZxfKUxoWxTw+Rv/vplv3YkF6KMlsWrQQU4NysGUg966nvJ0e4j0FurJA3yUwD0biNrE7W/foe9mGDNT+f/Z0XwcJ33v7c8xrLmuO6VWg482PYnBVwd+xlKpkJVRv+iFHnwlk+vmUqzij+tucaaKovgyXVyYp43fB6apFetIam7AhrgHsvCMYzMKBs+SPrce01t2Nzzg3IpAAXP3eD9wzeaX0VHSdZkMdNM72fFMXZcWQvy0d15lU4wHzxvhDrhGtquoxleDy0B2gCPUKhX5myFi1P1MJekUoCmXxGnp+f52K9R9W4Z47Awvhlz3weqodRCIRpOj/6nhuh4HAAmFRtGhgI4ezRQWTnp3C3P/6CNaqLBfFUzyAi/SizaKIHJQtko6cG3YEWRFnPW1qcC27twElSW3aR2rL4kot7Iscivv5E+85FJumZMx2TSHRRxOf5kksMw0DIj3pvNz5det0FjGMSwV2wsxyn/u9+5meTVayQdbAnOWAjte4cauFtz72A1LVrGYWeql2aIc470NaOrj2vI/+zH0VjzU9gd62gZeoQP9ehfNWnycpGgT+RlYW4ST8y9mQdy5qW3IpT7/8TgnnXoPiRKo1Nre1F+u+ZziXdFH28CjnMC9eZ9DAPWWFzOTWmtRitPFHWCG9uOwt3qJM++H6cCR7GC0d/AR1rDLhFePOYEcE9+t6K8b482rsP14Vv14q2rPryVdS+lfAejdGV/FzdCUvw6guNptkq+ajnJ6e9lzI+wcX5oxbHMzEzahHJCRiumQvzBUBR+xEyDkPycCpQAk5xyS6inEd/yEfKzT6WeGWFqgn4uC/ZyQQf6Lk9j2op15RE89yiFIQH+xqxzJENu/FCTn3NN5xvg3N9FkQgSpDYZFsSJ5mxaROZyAwkVtmn+bzl3ogFWIn7V7+CdW0Za3w/h9TMtQgGOvl5ANmF1yM9h2ZopnBN2AQ22VzxP9lQmK0ZLKpzA1roDyfFOUo+uQLLfr8a9qo0GNPMCPX4NW526VOOlzgESSUz8R6zkGo1Re9AmikLmcm5uLn8o/ij9X+H6+jbluPGE97Sj7RQ0IdTr+xH6o3pgIMR+DEG2Ik5nsxssjnQzO7Dh6p/rzAELnMHX2FoLJHpGhjwtePeAvzqh3XMkWVgFjXZshUOrFxP8ySfL9Ymi5WfBSoG6Su0k9AihQxduhlwpEvAWoGjHKtdW3DU/S6FXZREMUZcnXUTUk0uivLZwypCYf1212n8uPEd9LM+u4uRyI+UbsNVLDQzEVf9VK4decS4wGuG2VmcyeRGFKH5/P3+enwoYwWF2sXLjlTqyr+tFMf/fi+8jYNwsNLYcAT65fvXmc00c+9Ew09/CkfVCmrARnjqajFw+gh0O1ModLdp5mkf876NFtYIL7+LAZ3cuE2qcUN3LnAymTUFsgo+hN6OfejrPoIMFthxbcpB81M1sJamou9gl5aPTok9bs9SVpSXhIF7QzDaSD5DM77VQHY5/jdRE7d4f083frr+23CcTOMmIB2pJHxxmTLJ+pYBp1H+uIngnEY2G2JZ0PrlRkKKqUzmXpaNzxAzPeJCo8xbX6q7aab62fsZTDRt9dkkELj4lzSJL6lDFjYCEqi29ZY85q1aUXOUws5lxMZrM2F3iv97YY/9UqOT+sfH3AfwdO33qbX2agL8rrJHsC5rq6blXOp7l3tfgoQeWP4HqOhahe5gGwpTyrE2i/5viUqepSYm81afG9+r+y16Sb8qItYXDeO7da+hmFpegW3mmwe5zHpGag9r4LM0kUl2K/PtDnrR6e/HytR8zfc99quisUoAW9b1eTSH1yPl9+yaiXrsceO+ppvFVlaKWH8/DnzpS6xGRg3eSA242oqs4pu18rT1p35MyZmMsur/RiGexm4u/0MQIpxh/8PIWRk4Z7Ihr/R2tNQ8w2p5K8gAZ0fWtYX04fcxYI4Mcu0+2JnvPt7mQzRlYW2LeIM45T+IM9xgnPWc4PXneUSyjzMmqa7mimRi21134LZ1D2Eg4uaGr5c+8270BDpwduAYBoKsic6SpmZGuKeZKMxFqBvS4LJkaa8dxnRaPRzDFgcG0GmR8XzU6Gd5ThHwIrxDfUE0P3EGPXvbtU1L+rV5KLq7grn4YqUawUA9LiQElABfSFcjgWMxUgtYsc6FympqMvzxSQrZZP2KCRxGwrryRTzklX6UQqBF8xcGo348VfcDlLB4hFbtaZo7E9FMhGhjW94tXELFFy1FX2b3ZyEL+WlPBzwRv7Z0y+oo5x6kj/iMtwO5LNBxqVrtUwFU4pzCFBjz3cRycrCvHqtZz93G+tmXkgVCQ5q9vQjH/24vBs+4kbZGiEoudfT5WQ2R41wi0QMdNJGHGBkuX/Hx4YyePPUlqDvNnG8YUFB1L4M4S/g7mFjjHelZM02PiReRAjuu7PXoaX0bXa1vILfoFmRcm4u2l+tJDqPjOGqx/HPrmaM9rIVrJm5aW4JhHzoDzegabEGyJwntgTYUZVXAROa3vR2vUt0l7z83qXIfjG6GMClZ269G7k3FpF81wYl0FKFcY9mTecomQ/6L0ZwuQnxAhHuwG/0U6qf7jmrCfjDcgwitS05alVxGbuQp5NNFyGvaO4lwmLKmixnQ9MPT6HqthTn5w/EgoadJccdUxLJPrpx0et/osavns4/A7K5Usz9+dYYJENAKgExiAZygiwXxkSykvQwqk4VpJNhHAtD8kQEuii3UNBhJLLm2M2gTVYGaQbcffFVbmLk2yyZK/uwG80WaqPhC7cwdTshGi4u7aFoSxDbfLUwB9r67AR/J3zDxxoRjNpIJLY/54M2sWiZmdKFHvVyTIiUSiS6Po3cHkd4B1L3yA+iqbLQ+ldL8fS01y8v3N3I+2dxpUe2yIRjVdLxGeWU7UXf0UbiyNsGcSWG4Mp0+8IBWHjUWJgmRgZr2UJgpivU43vs+znQdRm53AajTUljqsLXkZjzT9RNq0j3YlP0hbkKzsLvp10wfG9Q2GGL+1gcMWHloLa6983amug1nj8iYKO2Zt35uQKP2IikGB3JSCjSfuNxv2gaEmrVsIkL0/ffRctVPYS6/oy5uIM4w80KsWSL4UwOpqH5jM/TB8yJBaGy79rSi5P4qJcBHXf+F9PT81VpIo1JjWTAICBmI7PJFGMwXM5sItFT6+Mx6G3N5hRtdhBJNrjR/uxgUNLyoLRjILhiILKQhqXjFlKZkanMpLF9ppIYv2mh1WhEOuRu50Ec1Yb6Gr1c68y4S7Bd0OIUXEsUvJnSu4RcItil0MeNDh90FffDS2rDckXPZuSUzf921NRedb7Wgd38XMrflTSqtbCgUOjfRUUPmxOORMPS8XQor76cVSihZJ9e0IEne+1LUZGwTDd6WVsYa4SvQ1vgiSpbdzzKjBaj/4QmEydlef/Qk6nJP4mT/QWqwwDJLNXbGHkQSfcsMPUOPrhU/Ov1NkEcVd5Y/THa2a7RTCFZn+o6w2thqOJPSEXk1gI4gaVPzmc44xhIwdkzyWtscciMrsR1jm8WQQr+5i3djBX/PspOkYOfGSu7PCDFyN3WiPn6cr0bNl4fFmdGi2sJFQAnwhXtt5nVksub7aUrbW9eLNhYUKctMwboiV8JzsSczSRHQDlMaPlz6Cfym/icIsD60icJ8R+FHkWHN0TSWyfQz18eIEOgODuLHDW/hvd4aTXhdm1GFh0quIdOWFV9ctgOvdp7Eu/zMyACpz1fczEhlRr8noAlmkk4t0d/z2aLU/g6wXOeatBJuwCan/RpZWSz/9jKt2pdzbToLk0ht70vPQiqcpaxajqC7l3nZ5wUOq3QCWckoXf0ILBPke4/Xs+AXI4GQFng2zgE6La3sFhzf989IZTBbpMQK39AgQkY/jv9yL/S/Y8GHSx6Gy5OB+m+fQO+ZVgpD+VVRYJpC9Emn4aOrPoOS1EoGLRq5yQuSf6AZV5FrfV36NoRbAzj2/nvQ3WfAnp5duMPxCY3UZZyhTOotmU/SOcE+or3rRVxTQIcbg/A9Owi90YgoN0KSdipNAgsztvD3Ncm8/EkNRB2UUASUAE8onEunswB/2N99/SxeP9WNCBdFE/NV795QgI9fXUThefEOf7ZnLibuLTnbUepgsBkZ08TkmG0t0Ba/2T73dPsP06f5JAtovNF1CkE+l8V7d9cx+iGt+GjxFvoh7fhwwXoU29LxTPN+pBjFPzyBpJriQHRMhxslz6b47cQcHqbv9YC7Hg+XbCNF7eTuGxEYaeuy0LmnGd1vtiPvluKLTLiyOdJcDdSQg+E+RKv9MHdkI9zgRixMbZynsmwvRM7a25hCtoKm8Mmde/SstciEcVxQkpstPuUArVJdrly8ffKfKbwNWL1mC9IOpsPaasPmvJsZDW9A3Y+OwXecgYqjNFkrc9AeyfwSsh3MGT8XkR9kSbVmMgLuLHkI+ogeLS+2ImdzISrWr8EP676ORtKzLktbNa52PXrMk3kuPPEyHn+bB227GuBhvEHmdYXIv6MUjY+fwsBJt3YXpm3KZm57JbEfZaefzAnUMXOGgBLgcwb14jmRmNjquzz4LYW371xAS5hm4F1HmnFbdQ6yGJWaED/tFCERTSU3JR/ZKXmaoJOAs4XcJM97P4O3hIFsuCXRBRDhew24u2iT9paZC3gptcOuoIcBZ1FYpuCjnXDu3AcYqZnKGOariUm43tulnb6UzGtTIauRQh0Fd1ag5ntM19qSDVOmVbvnRPBEg8x/JkmRIUVPprM+1B9/FKlllcj96p+i79h7qNv9EyS3DyFlXalGlTr5lLHzSGkxC3HZTA1ro+JHlkwIH9MYa70ncKz7fTR7a5BvzkMhBe7G8o/BVboOR99+l2b7GAYOksJ4QwZ6D3Ror8/3zGcxlnqt5QZk2fD9K323+OuQZs4iJ7oD/lqmSh7rRtWXt2gxAdtyb8Xu1l8hj8RCdtMwUc0F/U32Baci+AXIeCcFZHoPiIuiACtJDiMZAJIut+qvrmYRl4Dm+5eKZ3pWJUzgnnKyI1XHTRIBJcAnCdRiOEwWa9EM5Aenp7Yz3XxiWbI8DMSJcgEe3cIs2ejj+/Ju4vTE0We4/HPxP05dl7p8v7NxhGxybPTTJyX1a2k6cg7BzTbKTC7HpDAy22myoi3QpwW3JWRjwoskhpIoF+wLr+JszHT8PiMUTBK8tt5Vws3E1JYaiT63lafCXu5E++4mFLNEp5i0m586g/YXGhENRGDONkK36QQc63NQVHU/85eD6MF7cH5oHQb/az8Kij7C+t4p4w9uEu/GGMEvqdve8CCa/bU47n4ftawOlmXJxypWDLuz5EHmcdvQz7zwzsbXkFO9gaQyeXDv70DrizXoKeyAL8nH+1UzYJ8/I28CibgfaXH6ouvYb0XqCrK2AC2MZM9kNL4l3UqhqtPqhZ/o3U/K1TdY1OSWKVudxFohtLBCNNP5ahO6yafu2pCNVX95FQPwWHBFqHbP/aD1Fj0j6Ic55edjkz6CiXqcHAILW4WZ3BzUUURAtLy3Ok/j/z/5G3z16NN4vv0wo7S5GkyjSbxMeUYK8liecYR21cDd+bJsB7LsJIug0FmIbUi0JC7i8hdnWs18NyPNtnfmr6PAFhzJysXNh5GugO3Zq2lOPi/QRGAXp2Si0d/LiOHEiFu5RGJC1zzCCepzqngGmdt+mNaGjYwAlw3lVJto4bk7S9HzVhu8zYPoeLFRI00JdpO1zsPAwDof/C+VICvlTi3WrOHUzymMLPAHGmEuK0GwroPvTw1PidwWljN/xIeWwTr0R/rwnWNfw2/bdyGbgvuzq/8SD6/8Y7pzboTLmg0LBXhmNqO3eY17u99Fxg1Z3Kwxa+J0B56reRy2LSzaovGWnxsHr4veYiDt63lSpehQhPS9J1CSUgXvceGE9yOLQXES0CdN8rtv5GbknY6X0evv/GAzOBk8Y9zASXR8y69rSJLzPnGLYsWfbdRSw6x5No32dUR4j/QnglsJ7xE0Fvbj+VVkYY/zih2dmPIu5xcVzfu9rhp8u/YVagssdchF4qynnTW1I7incCN37FO7zPLjdZEp6gs3Lcfj7zaipdeH5TkOPLS1BFbyPC/ENsQNTH/PCbQ3vkCt00+WrKuRVXQDF1YGQM1TE6F1XXaVlhr2du9ZLa2nj2Or9XVicwaFGoaDuqSoR6HFhSZvL+JZYvKeurAbb4p6yS0+F5A03uez+Z4wwJ0Z7GDet5XVuNKmtekTMpSUfDvSN2WhnVqpp24QUnP7A5MCoYp5k6jxdiMpcgo+TxOvdwpcuRtg3pSJ/iPHkHXd9ZSYE9+zInCFC1/ysLt8rTjZdwAnew8guVuHav0GfGL555GVns9NmJ4bET2F24V6j85gQX7Zh3H66PdYuSwNg3Y3TN4U7PR8EsV3L8Ox/e9oJC9iNUimhpta7TpHjkIvO8/dF+jlhsGL7OQCND57Enn0RUs63YhglQ1eoa0cK10bsadtFz5CAiMR6hM1YVMLD9IiwRiC9teaYC+2Y/nnq2ErcWrxBOMRzUzUn/psYSIw8Z29MMd8RYxKFkDxifqpxYgmZ9YbLhLEYhoTA6mPGufLnceZqkPtU1Y3/u+LhrC7/Sg+TA1wqgJcAJaUsZX5Tnzlbgd9f0PaayODixai9i2L4GBfLU6+/y8IB93a+j7gPkGTawj55XfQDDp/VcVMXPQ3UVivcxVRgA+hJ+TBN0+/hAP2BmxhOUtxcwimJbYM7HXXMolnahrjpX4MYiMR/vsIsUlMj5c60/jvC6/7fncdNon5nHOcbpNI6JxbSnDsK+8wQprumzHWhCGa1XuO1NCt/BZcFazV7WtAUeU9iGQG0P6bF+krD9IkzHytMU02xuLTFj7x/pAbJ8nyd6JvP11H/ah0rsMdpZ9EuisDdcYTyLORRGWCCHrBV2fPRR198nWN/47rrr0Xyc8kw79nAIOpfayYZkHVf9+EY197h8/Ji54rrGhyhbgBodWobvAkCs0VGNjbq9GXZmy5OHXOSG7+a/Nuw6PH/pFm/BOoSidZzCirhpjIBQtpEiPgfq8LbS/Vw5JlQcV/W80qZmkauYwS3BpES+YfJcAX4KUUnmyJ3H288V200axq4w7/ttw1FMbrmfus58JD5iUuZIPU5moYJHTG00atjsEyYxa3MBepmSzeIsTFDLvQm2jfvZ37EAmJr3k4jSgqzFfNr7OC1I55FeCCnWjYIkyl5SQ7cV/RFvy86R0UWl0osKZrn+dTA+8M9iNAMpJEBbIZhMjlfFaVdv65+sdL982xgRbcnnehoJnq+cUaZM6wIntHkWZCl5SxIeHqPtdk8xZ0dyH27Dp0pYeRu/U2lvrkZpdmakNqGjy1dXCtW0tGt+H7WCLIRWh7SWF7ZvCIFowm5WPLnStxfe5OjdnPzN9bMiu5BQZ9mg96IguYmNtbvQ14oeHnGGIsw2aPEVVXleLs883w1Q2g9ekalHyiCuYcC2lUOW4GxunJ2DaiXQsxUU3/UZQnr0LnS82oeHg1dNTSxzbBwcHUs+sLd+LVFtY3t1doAW1JNLdFfGF0vt6MvsM9GOImJ9gbZNCfCaUProBjBVnWaDWbDKPd2HOq1wsfgYvvlIU/5iU9QhHCzX43vnVmN3oZ8So7dC81yV80vkfhxLRWph7VsSRjrbeTzEp+lNgztCjmG7NW4YW2Q/CL75cHihC4NnOZpuEtacBGJid+g1FNFjwdc6vlMdFNrpFcC+l6qhYJ0biFsKWWG6+fcYP2BxU3cWG2sFoVC2WYUxnI5tYC2qba73hzNBi4uM9DHpm4dE4MMA2KlLCZvF9nOhfxBWffWMi0shZYaQoOdpAnla4Bcp1BZ40i634bBrxH4Axfi1CrQfP1mjN47XU56H1rPwPhKpFEoeiLeYcjyHsYQc4ysgW2MqzL3oYK+0qm8LEwDq0lI1qt5jvX7ikK3XFuIdk4BEjn+37nHrzd/jKuok98U+a16Kl/Be7u11gW9Sp0PE9qV/qgnUyJ0+4VXvuhCEl7rFx2z92XQVrPmvpqsL6e/PuFJqRWpl9S2EoqZXX6Zhzr2Ye9na/i+vyd0IV1aHjsJNpfbKC1YTiA1UDze+WX1sNeRnO55n8f7+5Q7y0FBJQAn6WrKIu8MGyJpiwFCSQKVzSxyzUxnb/fW8eiBT5+VzQN8ZMxEpZC/MmWfdhIk2SVLRdXF5ejICUdZv6oxRwnWnu60YaXO44gzO+J8L47f9O0zOeXG+NC+1z4qbPyt1Ljfg3hQDfxirOQB7W2opuZDpPYWzxE7a9rwI/GHh9cDOgrzbDBzIjicdb4S8Jk5sbidlpUvnXmZbxMN8dO5oLLvSHauASyVabShDrKPHrJjib6QDYX/E/cH3L/zGUTX7KQt2xwliRmA8m5GJ0WFNxVwSjqZpQ9vAphnxc9gy8icJhR4K+QGe2OfJRu+tD/Y+89wOO6rmvhhTIYYAYzwGAw6I3oIECwgF0USVWSalaxikskWbbjSIn9245f/JK8P1/y5f3Pju24JHb84liW5ciSbKtTEklRpNh7JxrRexsMMMBgCgbtX/sMBgRAkARJkKKtORI4/d5zz7337LP3Xnstjls4PdIh9FUyhLyjA207t/O6MKE3cwBVCWdgSIzG/ISluDftM+RJJ+e8ui9nvkYEHa6oVKcNnnjwnc42fND0O7hHXEoMJzlyHo+VLHsZd6D00L8gNn8IY1sIqmRJmbLV8o9kcmhjQxgdkAtGFuetAywfc8fCcbAPC/6fVTN635N3rw3R4Y7UB/FqxX8gP3wJNJUhyngP85j9bXjAC9uhNhiokPZxNyGFUTX7nKMC4fu5PxszX7lzv59P1BbF8DbQS36r5TganFYSd+g5YS/GEnM684GXHnIJeg8y9y2Pk5t4MckR0fTYbidbl/Bo08OctCCQ7d6Xsggbk4vVDSOenuS+OU/8yTcBFemj0lC4/NvoaN7Jkhk39Z6XEcy0dE7D54OcjDefbMPvjjTCw+eC0L8l14Ivr8tClG52LGNyMuScRJHM5TMZq/FTGvEsQzzyabQzqERW5+zycVhfI5BNwr4+PXBZBN64JpO1g0DKc33teDx1Bcfo8ovW2fROPEnzigS0U6msfVsdPLy/vEEaxBRb0HPQBm3dSqAkDKNhlPaIGkVfXh+awvsRRpISa+oJJA8swfIP1hEcpoNlUQI0izUISaXMJrc7FjJKr3eGfnLxM9noqHA9qXxPdx/BnuZ3UBy7UpV16SmG4/fcNWFRSEzdgObXz0BjSMVw/5AKaYdLnTXLtSQiEioeOJssEGqtFcg5PR9xi5MRmW6csr+ZxkVC5vEhpOHtX4YzP94HQ0u0Kqmb8l1OHcOTwX5TPrwxLySCMTQwiP5zdgxR5SwixaAWFFJZ8ImYlG7MMBMIG2hzOgIygXW6+/D98vfQ6ulVXnQd91DV34lv5G9CiTljiuGdvnMxykXRKdjMUKCIQPhbGD2yJaSjFKrNi4GCxIjP3oz4t/yn8Sg0kQZTFiJpyOUcBNOzCppUqnWtRykRlUbbgDLevcw5+iehPeesyI03YGNxEvWYZzACF9mxLMjSGEERgY9XmA//Wu4GlpLFYhcndF/k5SI/vIK3GfNRILYr+Mk1f1XC56f7mhQoL4q17ZfKH1/JzsQguNuc8HQ5qVRGuk9Z4I7FwFrrRVRJEroOMQ+eUIa6zHOo7D+pwJwF+kJYFi9BQXIe2dzuYUlZEJy1feg5ZUX1z0+rMq2oxRaYF8XTeDLUL5EUGnJ/vnhy3yV33uOyYnvz67BSCOQ+IsGzoyknGjKVPU8iPkZtCYar7IhczYXEziClUCb56BCmNKhv4gOTiQfOSEVzVTUK6xYj+e8yFXXpxcZEjl/C8c5mB+vE6xB52oCuyDbe71poGTKX8jAFYuN2JYcudd5BVCD8OJrcf+72AZz76Sk4KoXelvejNphpkHTMe3o+CXg+qbPU3J+NgAGf4zGVCexgdy06BvtUWNu/+X7my7YxvF1sIn3iTKv98S+KAc+PSmT51zICnQ5xG8MqTL6IofN7CQi6GB2l1K+KJ/rx3LL+o/x4H9Xxc0K9Hk3Y6ao6B+Aikc3kQRav/Ei9DcszY2CkFy6GWcB/8sgHnpOLnxGJkiyPzaS0aDveJOXqg8kl1AcfQD+rCaRcSUBol/r95Y5TPHCl8TEtmnO5313L54I+P8oU0MqY7LkJn493ZnRwBI2vVFAshNDMidI4pgicrLk+2ouW9S1wvtYH7+Ne3Lv4c0gxZiKUQLSeksOsIz+I4HsEPBaBsIXhiC60YORRYkvq7bDTmNc8f0adUtPCOETToEdmRNHYkoaW51ZOovCU13SXYnvTG8gi2cqTBd8kbiFa5cynj5X0s51gtKgiI/rj3iWw7Rb2rwPpj5KSlEC6sRGK2tCASXytv8+O+MMJSFmXTUIV/YznWhluIszdHQOkPa2D7UgHWdPCOQ9oEB+XjLNrjuKBgqfQ/fs2OM71IoRa5KkP5RC4J1Kss19QTj+Oa3k96hlBE3XF+852q0WHbGuE49LxYYMi5om/Iy2Qm7+WAZ7024ABnzQYc/FUPAM7EdDTvSguSvm+S3mHl9uPANDuSVqIA901vFGDKX5xizLq8v70CV3EIvoH3ehhzlykKE1aTlIfY9nU5Y7tj/ZzGmIDQ6CTvTI5FinSamad/P/8wxlYDFqkEzGdZtYjNUaHVD7q6NUpY05DIGmP6UZdzukjRKX/sOJ97Omp4vUB/LpuLwq4iBMjaCYr1tVog8u6QUODIV7elBXHdTwB4nn18NpvcfagKJsLVebg56RxTAYZju0rY4ngJAS6f9vBwyHIDSlEwh0psG5tR2J+KsKj6P2Tzc2YX4DGl16hoScjGsvJ5D1BpEt5mhjyqHwzUh/OwUBDP1HcXfxupdLDjioyI4JkRl6mA7ZUvYL6kSrclfEICsyLeH/NTCUsxtbV6lCLgtxvLEQbOfCdi0gKc9QDV/MAxmS2pTcawkjNCMFsNafOItoeS61vRuV4nUxuMpajXmFPYznc1nrFCy/gNLH8etaaZ/15GjTJYWhuasDp8MO4/e8eQJCbx0XecvHA/SQwk7c5J8/ZL7lGpR9jIpTDkL48+t5jn3l+hGhHFi0SMZjcxIjbTnUibn0KL845ujYm7+AT+DxgwOf4pAtwKMtgUbluAZb5m0zcRhpYMbizaTJpu4hQ3ZhUTInJZCoRCQJmapM68X3dVXipbj8ZowaIZNaqcjMxCDoahkCbuxEQGk/Jh+rCaRTdzLNy7hIjGc9J9dv3zkd8VDjaKSXZTHBbU48Lh2t8Km7mSC0Nuo6GnUbdFIE0elo6enfBPL/BRDeKTKuRmIZVsdl4sX4fz/kgOlkOd5Dn9d3WM/hq7h0oZEplMt5htkcl2x5SBk9m3OvfJPp0srcR+cYkLiZnNnJX0wsVLmd5neDOZ2oSosXxETgy+xDkDUL1j88g7dEc6FKZm2ZJWHh8IjnSyxG7YiVfc8rjeZRzOWHMaTyjCsww5pqQSuIVZ4sDncdbUfthOYbbBhGxLQIPr3kKSRqS7wzzPhRbO8PMKZ5n23v1iF2dhMikGCRH34ey2p9g5MAqSo2WYqh7kLXsI+g+3I4oZwwGtthhWGeChpzjk6M6wp421DvIOu4Geq1NLAOTsH4wYigukkCK1fA4UqyKwef1sy71Pvym4scoMi/lojFLXVczjdFs35NFiDLOYpHHn0v6KIjPJQo1TKT7EMvUvMxrD/bI46B6lDz3oM3N18wR8DzJ+2pDkw+M71zNdTzbvn8SvzfDZfhJHIa5O2YB7ZSY5mEFb6bDJOYQRSq58LVEqFYwVLq17SxrYxeQ/5oc2ZfYrVCjepl3W8ptzQR8k5uqldzZz9fsotfD1T235aJQxjstJ1hfbMZqKSFjXni6x36JXQY+mmEEZFzdDJvvrujCtrMd+NLabCLQB9BAXmmLIYy570RkxxmIZg5GtI7lO2Ssk3JfATwNErDUbvegwUqvtNeJoyLNSnasaJ0G6TTmqeZIpNOgR5N6emvbGUXII/tTEyV9+1Z3N35Zuwv/XPxpBXqboXuXfEtxoSsv6ZJfm7MPZcF6nOHzDVx0Xk3U4GIdGWMFhrVnN0JMjGw5xQudeueIMUt5KJdIdS2crQPo+qgRNf95lvcEc69koxsbMaD51V0sP4uBjih0qckOi41QteJjNOQSIWG0nSFuGkqZEdOCUDV2GvVjFSjaW4L89MVwfGjH2VcP0Ws3w7Q4Doa8GOZyWQEiuAdRLOM5d9T0su7cjkKl4BWKcG8CInpXkhExGH1VvXJRKJvW9GqlAs8FMyee8cVc9tHnjYoIyiCvly6Wy7UyXC5HGcoFoxDZxK1JRpiJNMayP/bZ14IQp0vCckqQ7mh+C5/Jfw4RwT4e8/EvTHnwG2fph1xjshV5T7x96b8Q5QwxRTHU46ZRHoTXzj8+9/oNNfsmeXYtr11tDLE4fNSYwlj6ZkIo74UQev99HAPbvnYMkkxmtJ9c8tyuvwmALbqEof0rwIr4fxt4nHkEAgZ85nG5pncjWdf7XO6dWNmTQ1RxJ/mgm7E8JlN5bO+xVrva0Ylnc29HFEudZPKY3sSTKeVvpJQoNpysTTN8R3LeZfYWDNBLl0nf31zMse3sKGdNsRHxrCsWJjDxxCT0q7bDL8uEIXtV786wbf+2Jj/6yuKoBDUeVfhTQLmriYsHeX78lK83cdhyzCKr+vbJVhyr78YzRJtnxUdidY5J5jv1Qw2BQiwWImXpee9wjEZDXCotJ9pUSziSYrWcME007GTXo0fcZneiwebiXw/2NDahxWOFK5Fgn2mXguy/hZwA9QPdWCBe+PhEP9HBSzyRTQlKXvZ5/vgu8YNr/Ej62kEiGiu5C/LISia873PRRrkotXWdRFfzbsQsewBdXb0qjC6GRy1OOf4SWjbkRsGYFYNYHm3c6kRU/Og4gWsZMDIU3l8Zi8bf/BcR4U5Ym2mc2p3KOIUaNWQq09Og6+il6xEWH45+fS+22X/Pss9w3JX2abhN/UjZSM/2gRASxrgYHu+mklcj6v67giQpJgWAM8738ZoLuCzx9nRoqSEw4h5G/W+YB97OfLdECCadBWFNI7hF3YfNP6tB5Lei1TFY97aiZTPZ+Lhg1LJsLuneTEYN4pnXJraCIeeZFuOhjLQti1sHETs5w/rwJdQSD5EQwbTQtqQevCwvU94zjbOHimNeetLiOfu9aOmzxqBRymQaLhZkQaRLNSCaSP8wHpMmhmVyeoL2ZPNqRqHdl+0y8tR9oA1d+1oQwfsjelMKDtacRGJFCMztjDQRPCggtqSN83hukn2LkLm4OALbmCkQFBiVax0BmTwjNeFYHZeDZaPzkM7yoIPMZz9Lo55nSMBPa3bgH8++jq/nbUQqkcjThR5GaCTP9jVTyYqr2hkMrBge8ez9GtOT+yueXycBdL+s+Qj9NO6CRI7R6lWNuImPsSSsUK+1kTCxvE36KWEtKU/x0zv6Dbvf6Mv+Ot12/JbEI6dIj6llqP72uPl4gMxwsliZZncmd+eSzy9nQNXnsnHOf34j5Hsc/1c9TH5Hduc3wlI/7/vs/Hu+7sg3xAMRmtEhGggp2vNy4SOiEkOkrh1S4ztKatpR7KxoI/p4EKuXmNGEBtR1+Hizh/h7+b6XHgnFLZVS1pC8ZopEFOHUtnkeZcEjninjMHyfz9VvfAphwTomXCKCEc7PnNPyhb6eSsqU14K9GYkkRTGOnys5X/5z5P/ehY8EbdHgD1O68kY06ecJWyMWRKVCdwna0Svpi7DqDfQ1orH8NcRqNqJtbz/BWRauTJheYq5ZE6lRpWWyMq59oRzZX1xAytBoFTrPIn1o3Yvl0LMW2rIiH51byZG+LIJhcpK6yLgwlC0GzENpTZHXtDV0wraXedvuYcwfXsj8NwljIhxEvbspu9kJXTLr/SlpmrAulfzqKfRQ3ZT87EEnecbrflOmPFLxWtMez2WYeQTWvS3o3NFAQ+6/Bmc4ctpxZ30fKr5zVOXEx5jzjiD3e/L9WYghmC6YHqvyuPlT5SnzmlPXNB/lhpBFUxD/tMMRWBO5EdtrOE4NFmh7WAvPULZXedE8RubRpZxNXWvKayZyPSZcedJGqr1plDdNA00vWuXOOZ4y7cg4jTFMryIEchnJe/xAQISS33Zx3Ky7mpjv7kIkvfDsLy8CTMF4a9s+1OS58OAT9yGSarKSDpCFQESC3ieeMsNQBN66uhEIeOBXN26z+pV4ISE0wguiU/EGUcYCbiskCv2fFjyCH1a+j3+matiXWNe9OIbSgZNy1kL+Uu+wIlknIhBTPRkxBn0Ew31E7vMPO8o4WWp587sJmpPIWhCi6dU/m30HcowJ6gZ3EtFsI/92D1HwPUQ4Cxd3laMD3fSUFNiO2zORACaGYCkThSDMZM4yU2HJHM4Jj8beQHpIAeT9Z81HOElyDsm7k0WDx3NEGX6pPZdQ/flpym9AOceoN32fnP/8vDmVY/EZtXFDx5SB//UQPUef4WMqgYZPohJDJNDwPQodpixixPj6DKMYSq/k3riwEW9YDIoQ2gipiBBmiFH1skNiQP1UtAIQFDSveKpjo3ayWlVzcurmOWOoUpMBmyOd5yUSmfMM6A/ug8fDMj2GWUP5Gw1/ExGkQxjDhsKQJduSsLEQ9siCTEUo+BhKwBSnYb7P/XAG1JBxLZSLJalEkAWSTMjtrl783dnX4Bhy8bqabnCD1GJuH8vLErTRPK8M2RvikMXzqyfiXoy5eOay0JP/JhqfchcckXGA0cQH1+eJnKvjvXV4NE1qvyVJfG1NxsXLMsy6sv+GEcvQ+hsX9BlmcoovU2VY8rkYE8ljj9LDDYsMQ80vziDzC4UKmBY1P1Z54PW/oWF/thDG+YUYqKpkCDyf+WPWgJNMRQRDtKk6uBxuHG4kf8CyUdyb8TmYxizwdvgMt7uNXvfxLnRub2I9t1vVcIfH02NnHjqMRjBuLQFZPMd1zHHLYZf/0yHo5hkZMrf7arEvMwzinUvOPTIzCpnPzUckOctDRTCI509C6oJqV6FthrOH+CegNnn0MKyt8s4S3mZoeyiIRnKFHjs0b+EWzwbyIhhhpFEVHnYJvWuieN1R21tNJzJu/ONlOG6ceXfKe7ymL9XEcA8PigocleF2NrJErJeLInIYfGsJdAkG8tC7sfXtAziS1o2/WrIBiSbSuJrH5y9u+nLbv9S+A5/NPAIBAz7zuMzZu3JLGOg5FZvSVXlNsq6Ehjka/1D0ENHGe2gYd+DOhCJ8KmWJqvEWw+OSnB8N7KrYLDVBS2fEcInS2MHuarKtlSKd4hffZF25LMbfbj2u6FUtNMKfYinSfIZb/bXioj1tiTAqAzsq4VSuqNVqnh0Twzw4PKyMei+Nh426x72DTpylOpK1y4FeGmoPPdRwelSNDOOKvrO/Saj+3daTyuhIOE36LcxzUrsuxtRvaJWRVq/FuHICIHf0MPsxGkRQGBOPgpSWBYAYPL/hk5p39Zx1UBr1HRpFGikNDWUoJxp51PBRogfyW/muMp5iQJnEFIPmM6BSiiWfy2vfc9/3aWy5bf905Rjsxc/P/jM6hxp4eLJQ6EfwUB9yNIl4dsVG0mxOjjLI5OcfBT4ff6oe5R/Oiuc/95tj37cmvjv5C/xJaqRZXQPbmF5xc6HhWwKNsXwwlHiJRXgifaUaswZXt1KZE+GaF3jtxJPYJ9cQT4OeiEw9y5/8HjqPX064hoAtL726iU76uz3Hj+IJipKaLKhy2J+5ACoNs6qivuwVhDhY6/06DaYhEvmkB5Ww7vTjIbwEcQR3BREcWPurMmQ+VYBoGnBBO7vbBlh+VgXzcnrhO7Yi6f77aMAZ1ua17x514bTtAPa0vEdK1TVYHX8XzzVTVvwv3KQjrzjvxYY+ZH+lmN5wiNLUlnCzhzXOHkp+urtc6Kvo4cKAZCVOGtAkA8PwrMmmtztMozppVXvpEef4aXhcg9y2e1cLjbMYaRrmHnrRvS568SR/IdBNlY8RLKk1a6GnR6tdaGEO2hfa1hBXkTu6CC9U/BChGWFIoYSrjwuBV538f0nj7L8yZ+6mhMlHCV7rPWsl53qLiljEr0lB2mO5youXKIGHi6B9bx7FrvRWPFW8Frmm+DlZyM3co8C7/hEIGHD/SFzHRzEuK82Z+O/6A6o8TEBpwsT15ez12NleTm/2GGopvfhExirs5ORcRh5p8Y7tDIGLwpgYoZPUVd5CVLI+TIsn561BLj0xPzL964YNNDtynwYpwz15ApWV9gTRp7hk0sYf5Kk+ZIylZ5ys+FzCymLgZUJWrznJiSSp1Cn/oOI95R3LbyYa7/sYeu+Cfpdj8hlK8QjFkIpRpdFUj6KD7f/cZ4zFI/VPG/5H5QWojcs7/iwbn/IluzX+RL2UF2wzGNBJ7039xvjvZFuywfEmZVblTuYqB9v5joyir9H/w0j4GSLGKd04QwWA/3sXPJ7f9AUfXewNLaMvT9BzlZTJduIXermQEo96kdGAx9OWseaY0pE8J9E8TwuiUtTCS9TmGpVB78SH7WfQRC8+LiIKuZEWZdDTdRYafYKQGKOQhdoYF0JyLVyPJos3UR5bSKIh7ZWM1UU6M8rrvq3hAzjbOuHdQja9sTDk0cuTWulJp27Kr0MZbhZvWMqo6l8oQ8bn58NEA5f8cBZq/uM08+AhcLd0ECRmB3NA6PEQlNj0OpXIuvFg9hcxz0gQHCMv/hZMz35MwGkS3eC2pTQLVKbV0NPXk1VMlU5xPethCaGEwLO/XKQ8chVW3i/X0uybeLYDBH+F0UiLxyysbZIKCJPQdgw9aIa2FfCL509O4cVC2zGjCVidfDd2dW5GMsGvkaHG2Xdi+jd5vY0whTRC0iIJkXcyVC4L/4T1qYhZnoBQjoPUykvz9Llx5A/H8V5SPe7PX4bFsVRv4/0eaNd/BAKjfP3HWHkk8yLj+CiMbB1YyJC5GFmhRN1A6tN0lp39kAby78+8RtIIrzKgAj3aTES5hLu19ColFHwPw9WLOUmKQZlspMMnhd+v9HBkUvcbNDrDFzRhflsYmoYc1iWX97aMe+E+sZQ74gtJ3bpw3Nv3GQff9s5vxr9tecdnPya/c/57H9czWaq4WYInqlCTm3p/2MG31Mph8kdz/lxGThZ0j6av4AJvEd5vO0mPlmPtPsTFF7m0ZY8cPFmI+UmAIhgVEUyDpGfEQIuKWaOTHvpAB9MrFaTw3QvtaARc9DaP2sJZV56gRFPkupEFlmxrrgy6UP+etDfhi5nrplyXVzNQAlrr7jyJjoq9CN67jiIAVPf6H0sQmXZ5mtEQ1nZbVpJHnqh0AZmlEwxmLklExpOFqPz+QSKlk9B9+gS6iyOxo+Md5JkW4X7Khhq1kqq68OLnsKoQ/eTj8HuyUksuqRnbkU5oUiKhL7YoZPlILPPPTQ6MHeZZk7zWLJpsU3Lf87jokDw0V8I+46istRhs3711uU0JF3tJ3BqU9RzDKet+rEi8g4aU27uCJkZaQHYSlrcSlNa1r5XKZnok35cJE49xcl5ebg2vw4PTfziNdyw1WJ1XgHVJ+XOyiLuCLn+ivxryj2yf6BG4UQfPe9DJ0Pg5GnBRo/LnCWVClfrwFoLEqunpSujZf9vLc/HEl5nn4ctZt6m8pxjvmVDp1/MwJESdrY8jOK6fLGEu5t0jsDY+H4+S61qUtJRREMPAP+nb5D9l0Pmef6Ewu6noeh7N9G37FhTHuvYxdC61q74m3NbzzUuwyHKLiiT437+ejzJ+klLopxSnGGMD7NDR646PoGfJz6Y3GWf1GxpkMehxTJXkMTKzkqmX9ZYChI2Eo7LLDoemh9S8J3CEJV6t9NTdXCRKVEeOUaoZZHEg5+VqDLosHir72lDBqNH9qSVXFq2YdkAKtEacRc2xXyPkyBp4m8OQ+cwCmEkLOltiEvFUI5ijjiCyvOmVSoQQ6CZa2BFpEWjfdQ6tnQdxPLkRG7M+oxTEVMh8hrGViIe7ZQBOErxYViWpUjHBpgzTKHtZHugliMva1EekeRma5kdhT7UVB8nRXru1ASFnehDqGvItvKYd44wvecMPOUhUQ+YyFxHyIv8ZTI9fdYufqfPCEzSb8yNRr2htLFnjXkMBFyi6UMOsfqeAaUwZSMqh7d1aNLzMUjf2I/2RPCRvylALKIlETCwmpM9EtZf/oRRvGCuQUZCCxzJXsDyWKY5Au2EjEPDAb9BQSyh5uSkT32l/l/W+g6q8a+KG5M3Z7ulhAJd3xbQmnmAEwUr6sHAVop728Q15KYYig6HZvy28Hw6yvoUSiKXnQmJyGPyGdOQ67EQMY6I+DXdR4Wl701vM47pUBCQiNAp3pz16xR7MtXZR8q9mjZ7pEy9uZV72ROdeLIhZOqtFhH8hJX3QEmiXGZEAs8uFv8wuJJqZjHFcFFSxhHGf9Rx+27BfheZzIhNUHl0EVQTM6APE+VDuct4v1cT4C1/BUfIdlMQIX8GFXuylfj/5MwGlDVKJrebkSwg+sxSeOuZxqT4mxlORlkz+8mWey/eVt/gMkei/LseQdwiOfDsalg4gea8DT1j+GnGmbAIML5z+pB90Qn1VBQRDCoFPn9sLa+8QWln610Qu9iYrQaFEwS8+50SscwRRRK/HEGugJVI9KiMGw5FEqJcxdcGyrNm0MS2BeHeyNLE7CNaj7USwt9H4E5hH1Ht0USzlSGMpBELqVoqgCKGLhPe5+prRMEskIY1a4TnRxdjF3P79mZ/ntcDYvywAZvDkxXCPsP5bgGkSJu8v74FpaRyjHksJTItUKYkLKFnFeDO0fu71MrwXQqR/lhGfyVwVMN6zOdlz/J0Lr+A53kFgc74REGMdQ4R3WmQMS7EalQcrRl2aTJMRQSKKcGET38jA3JzPR7rw8xv1jkzmgpQPFylEtonFx43qwHXcj+Q+b099CHkxi1HXX4l6eyMq7Kdp4GJv+HHKNRBLMGI/AYu5UcU41L6V2tX1yIqeP6MXftFh4Ya0BLGNMPcdzgWXjjSwBk0KpUqTiXUgtoGAs1ZSnlYPdOKQrZaCKocUFW8WUz15NOpSxRDNEL2AByXgLuffb9BlmemhF99I4FoLja549n+df+81LTAVaI0ppJEz8fCc0bH+OQnJrINWueeLHuTFPxAjbmCddsKTaaj4JVUBq6ux8I5b4T1tR9fzJ2D+n+TjNvqqJ6QqQYy2YEBcpDgVNr1W0oH2nmUuu7UPP37hGCwcvzwqdiaQnCS1041R1k9rR4KRcFcaTEUxBLS50X2wDR7lsScozu+Wt6qJIj+Pq5ixtzTEo3kR2FrciASjCRssxUjwMPVxshe9Jwka29OMjt2NZEILYq26TtW1K9Y4chGEkkjGZ9AZneFU4r8ntUzN3Zq4Eb8q/QEa26oQ28e6fF4DEamRirzGh9wfB6aVdrMUrlkB0+JuSUbqIzkIZ95dVNpmMvjiYwwzulDzZgU+8tTAsSgUX8u/DdHhcydcM+M4Bd6ccQQCBnzGYbk+b4qHstKcjf3WaqyyZKswpuxJQpkrLVk4299EKk2hIvQ1mcwNLAtbFJOuQqX+9z/OR/8k8XH24XrsO4xRjnRDDhHhmVgaN4DvHDuHj9p34f70+3ieLqSxvR59kG3K+OqJJheU/gixD4ssq3DCugdpxizmFulJXUETUKGX+UyZdKX5PHQ+4XVI7LKqjhBsw8axBUrCts3FNA5z6Mfs9fhdy2FFhyqeuXjpgi6PIXeAbMPFEP+v6vfgMCsipN5dFgRSHZFOTgMJ5V9pU6C16u3oO+qA93AWCVliMe9JKn2RwORqm5fpqkZnDbaN/h7R95mQ80ERYszxGF66BD1Ha9H8dhW0d2eiecCDJnrWLQSjNfOxj2HhRNLfZmgoCtLpRTg97KdrmFphqWYUjaZpYawCsXV+1ELjyTHlQqHh1XOKECb5nkxELTBjmGxmtc+XKtCdq435cC4MZlqAS7hfn2ZA3nMlWJQQigO2KjzPiEuuPgEb7liA3E1cZAwFwV3PipBTHeg5YYWV+7XtaaXQyqiqS4/m4kFY4QykgZWyOL9BN4bEYHXXnWj+eRXae+sVx4NQy2YxKiGGvJfbkhp28cATbicwbRklVglM89WBX3zUxXjXv30OBztrULvMha/N34R4HfEJ/C/QbvwIBAz4DRxzAQ8VEkX8WtNhdHkclJPkDcMJW/KRt1rycIbsa4coaCFUnHI7GEm3+oXMtYrEw+/93MDufuJ2JeF0+YsIjUSx5VYc69yDu5IJBGLd8I1s9HcZRmftOQ3lIstq/NfZ78LusZE2M3nCy5pNf0IJhlKlgxf58oRBp/smQEgpQ8syxuPusSJVDigeeg099FM9DbxmjyiClgxKnjpYGXHIVqPC5/5Nv88SuHzm35eZs5TX7n//co8KtNZ2Gq27T2BkfxF0ZhrbZxeqMq6rsQmSk3eS7+BQxw4c5gJsZcJdKMpcDStpWEWoZICLkGBHK6wf1OFMXQ8IdCBim2WeFAG6TULUNgfclX0YoZ52BFnJQG80i3n4SNZ2C6GJ1Gb3HOuA/WSnAnTFLA1Fzp8vVHXcsvhysOys/telMFAkJWnTPFT+9CTcxI6EeqlVzpC8eNJC2TrETccvTUDWU0XQE8AmXvEm7SKWjuZiR2cpfly7FYsIWL2bJaZxRdGIKjQj/QkBlzFXXm6DncIrfWU2dBHx3n24Q/VXa4lQNfCGPIbb9aEYe3kYQT28Bgi2kzhAf3Uvyr57BKHRRNLTmE8A0yTnPgtxkWEngZLvVuNYXS1OrunDlxbcyYii+aZxLi53rf0pfh4w4DfwrIpR9tWEZzDsWIMk1oNL3bI0MdBaMkzdZilS70cyrCvGPkEXNeGpqy8G/rnuIyAlMBtT78QZ6y4c7jqK9UnrZpWDnquOiSEw09DYyHGfHpmKHFMRTnUfYJj/QZblzc4rlWuN5oiLwXH3exadm2rQySYYlYRshtLvSlyg6vwFAFfpaKP06TEa+Kn5XeELOEPGuCXMhQtxzWya1GIP9Dahdts78O4uRJjOgOyvLkJEIvm85QAu0cRzlCOjPVSLFDlM4R9otrfhjcrNsDsoGxr8GLY1hOHlgSqYmPrJWGpG7l4JfWfAspYa4Lt7YBgJo8fcTTj1CMJZuhWVH4NIUn4KCK6XBC49p8gyRq1wyY3bjneSZ5154nM9yqDOe6pQednCaS5kMj1U2mr6XRVV0VIRzRK2ml9Soe7RRLwd+iFudW3AudJTSGrQICY/F+/k9eDP1maQ8S1SGW85VCEBsjDN9nDqcqyNK8B26iZ8v/I9FbW7nRUfokwn/RL6V+FGl/psZxOBpVRpEyU1Rx0XHp5O9J6xKga5YSq4CcPiROOYDTPCkHRfFlIf4EJLFiyMAsymiefduq0BZ0trcfD2Hjw+/xZWNiTxvrh63MNs9hv4zqVHIGDALz0+c/7p5JrwTZQMlfpoAQM10dupG7DibwseUDeq8HQJoCgQmprzU3DZDcqY6+kBZ5pKsLt1G1bGs0b7EiIRl93gFX5B9h9LAy6seSFc4JXEr8Vr1b9gP+6CUdi0+J+S1pakAABAAElEQVRcMyMkzhHDEsJrSNIwUxoXAYLREsa6q22yqBRQFIsWuQmNCqMnRZhwkpSpVkaQxNudaLQTWu6QP5lVk357mEOv2v57DO8qYpTDiNyvLIKRiHHxUKc3yU8LyFMM5Zh7CM7GfvT1e9GlC0KDexD1vQ7UdtvofZPNMzIfBXFJFIwxIDVXh0TKvLLQH67qfjizWKZGitGerZ2ITDRilKhvCSsLWEzQ3+IJT+SI2ccREpi0bWmAjV63GLxwLi7CyH6W9efFCKd0rCy2htkfESBp/6BBkZsIiUzr+7VEcQejt5jGnspjGqrRNcUxzXA0DqasDGTMT8UxVwMyglheOmnBI9uTcUwkSc8TBIatdxZga8cZfKdiM26ld35b/HxG5sgCJ7XpHCSRQ5UxS2KZlxjZgSoa8zPMa+9pYQne9FGU1+SKYO5csAUXM96K6Gn8upE8uLDBtdF4lx2pwu47e3BX9iIsJa+FLDgC7eMdgcAZuMHjL17OPFJh0jajxtHFkrJUFYrc2n4aay35yniLUQ+0j3cEwhhSfiDtfvzo9P9i/XsFSixLLjSS16mLYjjNWgONZD/nW4pA6NN5XcQRWHeC+fm1nIKD0DrQgKNdu1XpW1HMMjJfFXNCPV/CI3ZUjLoYcNqhOWkqvcDqg3UsISzr8wvpyMaFQCgUy1hlIdf3bNowGf/q9r0J1zaWVJJwJPXTeTAtiqdR8UUNhEyIqXW1UBmkp9lBspBWgsu6S20wbqNoBkPJEhf2hjMcvdoEV3YZUtN68EjuI2Q6TMGwjQa7xg7nwSY0USGMIQQYSFcaXUhFshQXjXIjPX0SkjCNZaXxFf1vEdxg2b0y2rJA6N7Xjr7KbpUbznxqPsvT9Dj301NIobEURS4xtlL+1bq5Hj2nO5D15WKC16JIGtMD28F2pH61AG+7X2Q6ZhWcY31wBXtgTkxjPakTy2NL8OuWA7ifegJhBMhNb3INhLOSII2Mi08zjdbAxf02GvL/r+xtCP+CqA1Kik0cgiDm4WXUQ8gWp12WRPGROMUBX/0fp1Rofcq25RAZqRikKl6YzkcQoxYt4wh10SB3tjvQf9amoiCGfBP6OOY1B+pw8B4HlqRn4Y7E+ddULjilP4EX1zQCF14517S5wI9nMwIy2S2lOpkf+CPet1CVfj7jFsVcNpttBL5zfUdAjGSUNgrJxgVk7NqMophC5oDJiHYDmuxbQugVrK8WT1UWEyWWtTjQuZ26z8vQ6WrB86XfY46cOVx6pUc7duOh7C8w33sHJ/Tz+XoNw6PDNFzc3Jw1FUGKzSHlrou15SephkeOcpHGpcERxjiJGV2ujTCH3nxqJ3pel9LIaJhWpcIkAiGk23PRhRYUeDPpRJup/tXCvw6qXZkIsEonFiFnSzPCSGEqxl1aCBlL43Z3wGQxImd0NUbeoCdef0SxiBlpTI15ZqTcTfIjlngFi74qleK8vdHo3PIqjVuyMthDLPdqfZspLYLQHOeIUify28V6aMkpC2hNhFGEwERQ5nI+zCsTlZfuYT8bXjnH7XmQ99UlKvTvpacvYfT4e+bBE8MFR10bS7qK8EHjH4itCEdkdByGG9uRpotRpX5C1HQpkKoy5Fw0CfNiGvEHtVz0byHeYI+1EnclLGB4PQsRrL0WwKKcA+YvFOLcTLY06z4LAXutMkq8SvgfQ/2h6Trm8MmstrUJ+uwoRBEDYKQWui6RLHds1v2tvtI7LkzkTAZzcTHMj44+7UVcoomUzyU8jvMLRfWjwD8f2wgEDPjHMPQyQSfQOLzWdFTRpgqH+HLqhwuISN2EH0OfAru8cAS09GjvpRf+i9L/g4b+RmRGZRGPIOHq2XmZF25xdu+IMxTLmmzReZdQeQhLDHNiFmBn61uos1fgeNcelpnZ6FT68tAjow6lB11C73yyAZfrLIST9hCJR4Q+dK5aBA3K/SmLaUAKFVe+CLa8yWv5D82H8edZt6nrePq+/CHwYXLv99aVo/UlyqeOxsJFr7Y+Mxzv7a9HC2VW+1mTnGSkVjrD0xlkAFubZ6EoRgR1roNhp+Gp7quZMN6yDzEyoS6Gnd/RY3jZIA1SLJI3ZiIiyWewJbMgyOzJJVEaYyQMDGFHLQBLxejpS4iYHnnHLnr2zDEnrE/HvC+YFVJ7gN57MBnehqlI17alDsmfoj4Bx9LJOvC6F0qVzGbucwvJT65T22nndzTkKjevjsf27jeIkVvKMr4IdLioKGfgQmLMBPsZIuDZsRUk3JESvkJqF/gZ9qaPm/+1GHJReZsfnYRMMjeWkzhHpIl305BvINBNsAeTGRoFkZ71TDYc1XvJ8rYEwZE6lKf1w704FI9nM5rkHIODPO52AuI6PmygHjoR8ck62A53UROcqyI1sgxc8HyMSLCe1/wT6athIB+FjHmg3RwjMHd39c1xPDd9LyQ0KOU6v6rfjT5SeAqzmdwRYwSb3EsaTQGtycQbaB//CCiSF10CIsLS8ELte1hsWYnUCAvRwWmUUb1+tfly/kUJroc5cLlepIWzhGyxZQ2OMWzeO2hj9HjcBeVn4l05hvp5DZ1/T36jHDLWgStNcHHE5/CyksoJDVn4IsfIH84NP5CyFP9evY00ruUUZlmgPMJRIswU2ct4CFyValG2M/y9Wmhs0Uresq4oikxzIShJMeJTMcmIN7DAjZGDIBoMSYWL4ZIFjYDWHFKeMfUQ5TDV/RPBHLN4naqcalwWU4y2hIenHzi3CENOARxlZxkeXw1HOe9Bbn+UMqCpD+aQBCZO7JVKc3FQlXSmdX8HFb20MM23wEGjXvfrs4jh95IIBgtjjn1UCF8qbOjmImP+N5fAqxmkRvcxfCb3L9l/5sK54Co2rySBk5n62VS+43EticnAB6Vn4SD3u5YLw9ks3mXxKPTG8tv5rOk/zhr8re1nyX9egY3E1BTyPeGjDyLi3V56jPKrGoqxrGY+XosEUgN/r2oL6oZtKIpLIYCO8sKrkzHGkrQBssp1bGtQeXQ1oL6RVXORhpWtD42yDI8EQ4G5aXxgbpKHgAG/wSdChB8kdG5jqYtUh8rkK/9bqeF9nPWaG8KLA6jzG3xOLrY7CZe6aHx6xlJQRxazSudhBdxZFJ2Ov8q9SxGdzKFNnOiGTOQ61iGHEsAmJVsyYQtQbaF5Bfa2vk/CmYVoclSxdls8JYLYEIbooFyyhrE35yPoansUXSP9pzyVhcDc9laJ3nCzIzQWuuBwPJSwAj+r+RCjbtarO/QMf3umhMATQ0eRtq8KMS4tdNF6FJLtaxM5zpW0KrsmRs2vSa86P/kfGlShSJ3sSfs/ltC4lqVg7dsaUf/f5dCxLCuS4WEj67b1ZDAT3XAfmxiNMY2VnSjtvlIN7GWnWUp1Kxb840r1WzupTOupIR7+7QhIcKOvirSzHawNp5favqUW854uQm+pFc2vVyORYfn4dfScFbERw/LMyTf+vgqp9xPcFR9BvMIhmIhbsOiT0ccSQCmXk1C6lmmY4X6HEueJFWInetOnWKa3nuA0P7GT/7gu9eg35Kvj8rCQ1+MRisn8geWpOxm5uSdpMeYF65nD34/kBx/g8XOxyQvBPBqFTYnFqiQwjeA3IeoJkbQCIwxCN+uyDqCDpC5U3J3SpHzOpBPA3pS3Ay9ughEIGPCP4SSIwth02lTxVJys+1UG/WPoU2CXF46AyKfuZE1uEyMmkkqWhKmEo09wobW3+xwnw4XXbbElXqIQp4iGu3CcC0zJEG7CgtgVSthmadx6nOk+SMdxBPHafLTWr8DbQVZ8agnruRVS3Xc8kv0UtPi1mm9/CFxyz0pPnY89zFe39JBalCQoYqybelnSFBKN3zkPYWnwEuRZzBMh8BCPBxX/tZkSmTS2DCnnEMVtzKAXPov6Y+n8kOSW36xRhljAWmKIZT0iSOro4ljkUmpUiEhGnMNw1Nup7tWH9q0NLLNyKJUwPUvBpPJNVL+EZSx2WToGe2JgWqxlDXc0sp4xoJ7831bmv8/+wyF4+wdVSJwhBNKLdiOMMp4OGnTJH6c9kUfPlrKpNHzqqqDcZ8s7tQhn+D2WYipDISyp47lZxIiNGNpaR5lS+TNFxHGpRdCdawAjpHfVRIQrlcJ91ircQh4IiWpcaZPcdxT58m+LLyCdbQb2d1fhVzU7kd88gFwnJXEL8qiq5kMmCJHUaksuTvQ1KI9dxJHE85eFmDuIfTb3YDiaBDFdYwiW+jw2iWBoeVyCJZhp8XSl/Q18f25HIGDA53Y8L7s1uaEl57Wt8wwRxJLDlBuF2s8EKqm6SknaBdpNMQIysZ0jyEjYxiY30TgXVbm7GSr2lVhN/nRunkvoWJWSURdeIgFymYQSlbyMee6Xzv0EXyr8W9yT/oTKgxvCTLBmjeCFvfV4cZ8XT6xgfldHfWkuNoLpeTlYChXLFUgY8+G+afnifZR9SQWRHLsY6ykhcALKmm0CLhtAu92tJvQUkx4p9H5L5hHgVJKM6MhC0rIeoOGyYs28XBU9GPMMouqtvRgpozHgIiT9sQLELKCy1SyMt6p1pv52xfePYcThRcG3l9FIDykyFSnxiiq0IP62FIUKl4OT8ihzDGlguX3hInc20pDTM+8+3EnWNIb0GSaXULini4Iu5AvvPVZFA868drgWaQ9lk/HMCmd9L0P258dISF3cngGizetQ+PcrVOmWv+/SP/HK7dTKnv8tSp9GBMPm7ECnsxUPZ31RbaTceoLnjlKhvMcZ3abhZr7eOcBFgRFFUamK2KnT00cmu1iVMji/59k/E3ChLPg2JCzESnL7H93yrziRG4WatmO4O3Qx4sOjVKWA5NEfTl6Gn57bripgkiJi0Obuxe+bDpJhbwhLP2dB/8udMPYKwVQowW2RDMHzOo8iYj3ggs/+hNygbwYM+A0aaP9uxIAvopzoA0kleK/1FAbHvNARLPVg6lKFNJWJO9BujhGQMxGt8n5T+yPnyMT3r+e5ElPrJ3PxR2skl2rRJ5G6Mh1V9jNYnnC7CrNLvjjVPIa/vDMXv9lbh//YUYOVORbsLG1HXacD332vAutyLcrAmnQClPQdz0QInJZaGW3+4+cCnwkFnkZWstQYPe5ekIRUAsui9Azti9FkiFW2KSFweXwsYwV+XLFFaYSvispE6wcnSP/pRLgxFpY1aSQhobrauPc6dWSnvhohuMxeRonUn51iDbYGhf+8miAzEp/wa5bVVAjjMx668qjVm3xnjAuVUQKvJB8ttdAD9X2UFI1D8WOrSIBCoBlz1U6qjA3U9mKwOwWtW9vRc/YgIrNMKtTuaiaWYJLxnugRFzNSZ+3lAmZiX1zkeAUtT9S5GP9wEqxIbf5p6yHkmxYzDWLgIsrNCpMahtOFV186O0YmtGgMiS55YiIBf1oa0gxKvhIgpyMd6jix08R+r/CJhuciot8NU7MNjz35N/hopB3fr3hXlfjdSUKeWJYnppHy9haWob3SeAhZFCna01mJWxiKX5WWg38b2oqRp4dJr5uHRbHZMKYbfSF4OdGBdtONQMCAfwynRLztxzKWq7CXUKomMEQqdb9C4BBoN88ISEhzfVy+EuvoIR2mGFIxrHL+VrGUSmRWr1dTiwTmM8U7Uh74+I40wVrWgt9KgpnNWEztZ80497h8P5Yc3l9cn42f76zGz7ZXwUMPfITgLCnFeuN4C6wsDfrKbTkIU7XWF4bAW3ovjgLXURhF8tMCKPMb7IstYIRN7DMZq/Crcx/BRGS5480WhJujYEgnQpwsYKH0ki/ZGAEQY9n+YaPKNxvzTMh9bpHynP1h3JBJDGI+DWvWNjPM3itsaXtbFTArjjnqzCeZWzaGK2/f/1sNQWdR5A63rIrFyb/5O6Q9+lcY6tWia5fkf6dGWyb3U4B0fVTril3F8jMegnjzzW/VQJcRBfNSlpYxwuFhed3ZniN4IvdZBV5rdTbQ89VSoCaBwXPfAicsKorsb31cbdCYE8G/gqQoL1EdblOyj9hp8j6v9PkYvejuvXtgKSlBYkIKHg/LUPPM1o5SfLdsszLc65hvl7K0t6k7f66/nd65EfUDVv51wT7qxqrkbNyWwXIxOhZK+exKOxH4/g0bgcvcSTesH5+oHclaVst63SSuuBNJp+q7sQMr3JvtIhCPN49iH18jYG0zJ7t2GlMDa3ntFLYIo6dzPZsYRwsXdUKYQns20YScJdtUyJKyN6maVol882J6vr6FhIQ4hY5XQuYecnaLfrXfW3Tz9e5zXdwO852kDRViFDFo00PgF0OBX0n4VKJMefpErO9LR8fvGmBKCqUyWiQyPjdfIbb9fZo4qMlP2GUvy5jqXyxT1KVJG+YhmUhvyW9P/90Yw9cSwnZ3OpXR7jncjogUg4/jewHD0fTyJUc+ue+KglXCDfw/mApdxizWa7fWICxugSJEmb6PyV2T3wxzbKXJvoVmtf9cLwpU6Fy01ZlasZ9FdJiZUZIUfn2MZW9nmaM2ITaCJDW800mGztC9kYuNPrUwk7HKpAKcaL7V9XehyERgnHjqV9m8AwOsVz+M7OeeZcogjGWFwUimx/1n81ajiXn2t1uP429OvszUC3vH1JCdEQKpdpDQicxAFq0RD6ctY/SAwih8L9Bu7hEIGPCP8fz4PJjATfIxnoLL7lpId5aYM7CAE6sYRAGEbW07g9+z5vkvc+5CFMlLrkeT6dRMD1yqFSTUPbmJR7ck9lZVD54VXUgk8XmVMvluGz3u6b+R3wsvOu0O7lqQiPQY3Ywh8IuiwCd34DLPxbh5yIJmeq0bDXEuBJE4Je/bRfTC2c9LXO5jDOV7SNJS+cMTlOd0IftLxao0LIQkKpObGG0VJieozLq7VXGTxyylahrJVPQ04ApcxlC1GFzxqAXCILl88eo9nS4abIbQCW5zUSrUUamB7cQuAuEozync4FzUiJGfqY2SBKbXPAQ3lc5Ge4fR9BpD55/ORQR1u8XYDVFJ8LTtEJnXVjB/TI51SrbW9pbSy9YS8e2Tpg2iQQ010APvJ8ve+HkVStISXmOHbdVqwXi5mvCZ+ibvjUmN/YkTDOVbyN+exmPxLQT884xgOexDTpbtRbEU0YkOj/38dTLeFzvLWqupGS/pGy5/LrarwPs3yQhMvTNukk4FuhEYgZtpBMQjCmHYXJpM7UKcUVPdiQ/bS3Ff6mIVTVEfzuE/4vz4cuDTOMe5D+FHLybCeV/bFnS725EcmUED4pusxZAYI8LQRi92cuhduib11bfmxaEkg9zcRCZfLAR+LYch4ewB5pErf7YfwTEdSLGlYPcGB0x6G0pgZOR55rTDKKMCDiLEy//1uKq7zqUimYlANEGMS5NjEWPsJZCt90SX8rhHXF7m1JOR9nguJCweIuprPEEj5CYfZFmXm2QrLua7hXTFTVT2EPPVYVy4hFNOM5KGPpoKX0H3xqHqp98nt3kBUwTh8LBsTFDs0+vNRRPEox/Fe7EVePtsHRaei8H8HDMMlA/lCVHerM3dhY6BJjyS+UWObQj6vJ2wua2IIZdAFL1yXw58FNroKLjb2ifOj6RihMjp+xWbVSWKquO+ipMwMjgI2979iLttHaMPPrY0WXD2e93YzlrxfUSob0goJo1rJsv9dtCAM4yvrujzO5My10oyAC4zz7umSMD5LQaeXc8RCBjw6zm6gW3/yY2A+CQGet2PpS3HT1nzLLnE+dHJcz7ZiQeuZYg3gt62TMCRrAX3hzTlUUfJ06LY5SR22adkRv086Boak3UFFtRaHQRQnfckQ+hZphF4VsgaaQmzX48mxtvZTuP97/swqKtDmD0HWZ8vhi7PqyIWyZEU3SCF6JSFA7s4TLR494FWamiX0Uv2KvR4OVHnUQUmFXaPZI55kMbXytx29/42hrt1iFtLzm+GyQWV4LV5yN3djYEW8aoHMMg/aVrSp4pHbmLNc+JdZEFjHXkovXmpaya/jRJNGXa7oEuKp1fOUP/CRcgi4rqafOcDNPo+28Y9cEw10TSIn42Dy1QKiysY+yMacCSzC3fbNVgRmkN60WCc7jmEghiqqRHgKOHp+r4KpBgy0e3pYFg9hj3lfzx3oUSfe8vLZVWi+injYYkwIIVjc8behFvj864YXzHGWnxHQwM8NnLFL1zIPocolryqvg68xmhRpCYC38jfpIByEp3hcoe9mbnJtRJofxwjEDDgfxznKdDLm2gEZMJNI3p3E72ZV5sO4RsRG5UIjUzQc9lkP2aSbXSzlEwY+iZPuRpiKISZ7aWKH2Ft8kaYQuit8r9QTr6rs2Lx1vFmgta8ygZJr3LiI/EXt+ciOsLnmc1lP9W2aIs8Nhdq/u9RuMZqED6YjYS7cpGwMoWscqOo8XThZaKen825Q0nq+n/jJbCu6ffVaN9eTwIY0nYSeS5NSsV6T3XD3XIUegLOBqhlHV0Qg9i1Puaw3jOkAN3WhEHykIeZtIigV61PEbESM6lDuUgRgytRBhpfrhhoOBm95+vpLYT86lFFhSR3OUsGtmL+3oL8v1+OD3+0EyznZijcjaisGCz4FFHsXBAkdsTjV8d3wJgYjVsy8lFKStMPCBBbYkpEg20/aUq/orxvobmtsZdjXlQ+UejVzIPLwoULB4b2NSYThiaF0KVPYfTCl9ELF531FUR/h17hImtUwGt79sK8ZjVCdBGk4XWqVM+R3jrcw3LHWyiUJCVkck1JGaSkhY5012B4WqhBaHIXRqXN+YJ0+rgHXs/NCAQM+NyMY2Arn7AREFKMNSy9qexvw7sU9Xg8YyVRu7PT6p7tUIlBlrIfG0FGKhw+aX0g4ViLLhHJhiycsR3GmsSNigddwGrvnm6jpx0F28AQw+mhaLN78P8+UAQzaUrnIsd9Qf9pvAe5j9rnKW7SX0cPn+IkBalI2kR1Mu6fZKtU3VqCn1ZtU2kHQVtrmQYQEZCqn5xgyJqlXkviGRZvmRLRlVy6ANSk9Ety03bmvIcHR6GjsY6helj4xnSSp+gVql0ZR+VVi6XmyM3SixRP1VS8EDXPP09ymGEavzBqjI+hbMEAFtySi9HgejhCHIhIZ9ngILf9tg2fi1qIigUe7KDhvpdqYndp5+ODlg+o3+7Fod5OUu9Sa5zbre8/h0JGSSJDDUxZjF8b7FuYwUBiGoLYJN4/3iRNI6Imb1BrvYeVKRF6euyy6phNo0c9yLK03pMnkfl338YZara/xoVPHAFp38zdqMCyk0liBNi2IjId+x0hKKX0upfAOgm1RxKgKSxu+eRbvxYg3Wy6HPjO3IxAwIDPzTj+UW1F5RMJePGH8IJI2znryeKP6kivb2fFo/l06nL86NxW5PU0Ko3kyRPlte5dvKUY8cAV7e75yd6/XQFKSUmZKF0ts6wn41YITjT0oJJh7K/cloUffXAOjy5PxX+yrEzH0PF1CY2yW8P0lut/W4r+dobNyVgWHmohW1kBNNSdliZmKIq86SKG8bOa7ciKiENqvx5VKt89ivxvliggGvaqr0/5RwyxaHWnPSFgMcpiTfGqaajFw76GJgZcl5bKsL0HrvZ26NMyYDvTBVvKCDLjEpiGGESF7ThGWJLXc6gDg+0u5H+uhEYuFFn2BEVLmkljqx/rxp0pd6OLXvu/sO46SRsOL3P+It1ppPc9gVEQEBvLyIYcXJTxM3+T+08oc4tI8iRe832MuMy2JnyU97KVtKljORl4hzXnpTYrF0yLmOvOZmhfuN+mjREXKt5TZ3D3jjqse+6zOD3ag2O2BnyV1RaLyVGh9S82/J0LPN60I3BhTOmm7WqgY3MxApIr89p60P7BB6h78UVSQL5L6UTKJIpBD7QrGgHxkOOI6H0kdRlebz6KLje9Kl/i9Iq2c7Evy/aFH8DGEPpM1clSPpZhzCPALhRVvWfR1juA14824tNLU1UvNPTq0s30UGn0+onAng5qu9h+r+R9QXY3vVmJ3qo6BMV2I2ggAdnPENgX7RM58W9LFiPpLGd6wLwI72/Zh5P/uB8asp8t+t+3MtdNb5okKDN5zcHUujYtjqdSFgFwLCWTGnJ5L1jKw67ReE/0jeVWpgVF6CsrpRa4F22MYDjCvUihFneCLhlWAgVd7X1oJhNb+mO56tjEMJZQEvjr+RspSmRjmLyOaZVCPMr692/kbaLMqgPnBk14veUQw9TCijfE0i2fwZbyrmCGqoddrinnRBZ/y1kTfoykLt6R2d2Pck49pGat27UD29ND4Q4ZwzfZpzXkL5AFwXTjLUh/Z2srmv7wOvI/8zmsyViEx1KWKxrXtEgC7cTYj+fm/eMTeLx5RyDggd+852bOeyY370BTE8794F9JF9nAchlOKJxYW955B3lf+yvELF6swC9zvuM/4Q3KpCuhz0oSYrzOsOUXs9ariXMuDlnlwKlKdoJiF1IGNVMT8NrSuHU42L4bPc00iBmxKEyJxuG6bsyjxxrGXKqFoXMhcYmPimBodKatXN17IyQyad9Wj85D1RhOLoWmeSly/moxdbFnMMb01INco0g/QHW0rTr0ZgPLv76UtKJh6GfJWcOrlRgjilwoSiVkLisQMdD6eSRJWRHP968P8E6OPJheuJF58K6du4gqX4XGwR4VdtbRAGqDLOgdsKFmVzn504km52JDFg/SJBRtYYQkP2IU1UPZ+GX9fhrgbpzqa0KNo5+5ZqDeNQJrkAP/Vr0dd8YXY0F0KpH4kgenF86wd7jFou5B2Z6ErfMIivQKAI7EKkK5LNfAxdowv2cb6MPuHa/zt0O4c/lGFKfkKqKhi/1uiHXijb99GbErllNOtQgdVER8qfEAozz9+B8nXsFKSpx+hpESofENROUuNvI3z/sBD/zmORfXvSejzNE1vvRbCjrU0tOgoAqBL/Kehx543fO/wpDTed378Ke4A9Fhvp+50E5PP/Z1nYN3Umj0Wo7X54GzFpw50Yt5z1JSlh+9BI29TbB723D/wgQa7WBUdziQnRBF75sIZ2pDd7CsbKba8Nn0b5gGdYj5aKkj9zfR0O6k8EfLh0SOZxxHcH0xsp5koVguvbjpYDF6dELOUvXTk+jY0oCUB7NxYqMbe/urUfdmFcq/d4TSljos+e469ZmB4iK6VAP/jNT3NtPrvpDExd+POXmkAY8uKCDtKjnTjzagPy8ImdEJinEuhPzzUcPR6B3qZE4/g5zpU32eQUqBVveewn3p9+HLWXcSOHYK5whs83KxLAh5xzAXJcQELIqaR6zEKXyn/B2l4T2sj4DbTpY9fm9yk5rwZdT2PkydcBHTmanJWXCx5vyotQ4/PPs2Qo6excIN96EkOY9ANXrdFzH6cs+3b9mq7vvEezZhkIuln1fvxAGWl0kOvJf68zs7y/Cb+r0YZA17oN38IzD1arz5+xvo4TWMgITs7KdOqRt4ymY4ibhaWon4bYEmP3+CAGLKdwIvLjoCYmhN9MSeSFuJ56nznkVmrUwDvcaLTKQX3dC0D+T3MWF6smV5FHJ42sfqpUQ7O1nO6+ybh6LMRugigpivHUNt1wDW5cepeu84UolaHe4rjoyKoegd8OBwfQ9sRLQXMoxdkBQFDT+wHe8gjegZjOWeQWj1QspoLiIQjXSh43Xb/r6O0fi7Opyo/P5RSm56kf+1JYjMjcZDXWH4RflHuOugGUvvLUTKPaRYZc48MsOI0c8VCPMKnG0DqPr3k3zsh4HKZTOF2P37uZZH8TRDI4liT0+n6MkZWDfqcVsU2dFY/O0k8Ut4WzjC7qJOOQU9JMLsb6IEV9dfDj2jJGksF2uiN+wh+lwx4I1/SUywjQvlXGMCVsfloNzexvr9s0gYtaOnsRwlRfmICopUIWzVD4VGz8S/Vr6PBzyLYQzXsfogWH0umxzm4lDolze3HkMNS8Q2BVP/m+VryStvYZ3/NC3Z8T7IwwhTZHaWrnXs2YPsr38NsoCoJWHLOQLeBJUuTc63h6F7WTw86V0DLaVSVUhdfRr452YcgYABvxnPynXok3hwQfwbJUp5xkYjLjf5Fc/yM27sk/emhD9zoxJwqzmXyk5kaSMgyEjg1rVOgOKRRdLD72MtuIG1vJMXBTLh9rm9+O2BFqxMXYca94vo9xCpPRSFAeZyU1j3LWVlCQSWnWrsvSIPXLbdw7D7D7ZWorSlT3nf4QxjP0FQ3FrSbDa8dBrBxY1AVRYsS/KQcEfaBQIlUhLWTy3tqn8/gWAa5wX/tEqB3HqOdMD5chWK5htx/JFB3LYkiQbUB6QMkvw2/6RFUkgjlqIlrW/XIfcrxUSIX9xAqR9cwz9BHGdj/nx0vHkQ7WHZyNDHYZQqZE0vU/s7Lw39BsE3TPWWh0e8OGk9gIUxK1UFgJcGfaZIiRhIKTcsjEomDiAOn81Yg8bEJlR3NWPzmddwS+J8cu5ToY1ha1EAk8WgkLv8rHYHosmyJ1wDEtoWDv7jtnq8w6oHCbV/I3sDnK+9jeCVKxSyXc6ZpFr8j/JMkO6y0BggcUz1iy+gb/1iVI+1oaO6Gk3UKffQk5/elAIdDbksDq9xDTp904HXczwCAQM+xwN6s25OOQ7M2WljY5SU4XRDHWo0QpecHMiBX8MJFH77OxOLUDXQgW1kvnogZQkn3WszOgJCigmPVEj0ZL2JvTvvAnrIXvbuqVYYtBrcMz8TW5oKcIo61GGu5UiLNTCUTmpQzsAWspR1XmEIXcLme6q6cLbFTl51n+Hy8r0/HGiEsc6DpCXU3K6j0bOkI/VhEo+w/GqiceIXcFvnR00ES1XBkG1C9l8UM7dNbvCfn0ZvWRfi6K1//qlb8ULXAbxnPY3H9KyznjZWIWGhJGBJR/l3jsB22grLcgqGzGUSf6LDMqwMdYfx+kcXNKOZMJGVrWtnC0apL55RXIgzrgM032IafU0MdY+nG60D9diU8Vl6xQM4QCrUEP7Hwiz++c6TLLiy9PFK/Kbd1YvNzcfRxcf5IzbEeYOwPDoTdRQR2c6StNVEja+1FGBnVzkanFYMU8pWog57rJX8nF57OEP5rEj4NEGThSQPCrI70HT0GDL/+uvwsBTMzdpvq7ufqZw+dA3yjykd+eu2W7Fkeym0pHx15iaQs0CHZVxsrgvOx7+Vvg8b3BNLE1mIpuktVE+7vmp748MYeLjGEQgY8GscwD+Gn0uebaivH7X/9Txrb3tJOxmpymZGvcxzMV8pZBbhZoJzmAsMLLuv7YyKl/xE6kr8W8025BuTlNcl6l1X28QAmBmiFSS68u7G7fcwjWFpSy+OM7z9zXsKWO8djmXx6/GH6hdgdmchK86oysbk9wJi62YIfFq69ZJdknx5Nz3wyXlv+YGbUZqxReTU7miCfmQxMp5a5CNN8a8raOOG+gdR+5sy9BztQOKdGUjcmAFngx1Vvyjlh6PIURznidTODsUT4Svwo8qtyCTyeiUN2JQyPG5T0OypzJm3vEUyFKqSaRlVmLSGueQxXMmHdFIJphvBMMcxvz8Eg+RKb9/eRC3sIrjMTnzY/ZryZP3bHB4bIu/5ASRG5jJvXMP67wYsMFL9K60Ab7ecgnMkRJG26IKH8Bc5t2OeIW7cM6ZkK9nf6nu2o/PEcbQz79w+yKgJT84xghU/7CiHi1zr/rC2pBKEbKWG4W7xiJ8j/74MdZmtET07d2OQ/PLb7afRffoInMxbC/FPArW/pQZchHjWRFPrvO44jbse87/21wiNMTGK48OmO4l92XC0Ex+UxKI/lBE6bjiBeu1Pz7v1mhee/nEKPF7fEQgY8Os7vjd064Iql3Iw8RNEyCCIHpi8dja3KOS5sD/lfeMbCIs1o/NDciF/+CF0iUmKO7nprbfR9MqryPizP2M4k/W2gXZVIyAGMzkyBvckLsYrjQfxLdJXigd9taF08aAVJzrJXPweoBhyyWm/ergJDy9LQyLR5YKITmUeNjLUiNq+M3h83gZQj4xGewSSGg0mwrvPPQi9KHTJTH2ZJtre2fEGVYI2JNUKbPKr6JBBBPUdQVjbIuR8Yyn0ZHhTMz8/k3y3x+rGuR/TYJBTPOsLRTDQ6IrkptCgRiTrkfPcQl5zholcuQhrPJa+Ar9rOIh0nRkpLDWTMfQ3URMzkeTFSqWxjh2NSHkgxydW4v/CHD0OOb2wk+3NkRWP1LoetJ6sQDzlSI2MHmiDIwgo89IIDrCumpriHH8Hn+/v2EP5zUzMC+rHs1l3kKY0Cnta3sFDCXHIjlmLTlcTyq076dFGU73u/FQbHhGJsYR0aIbOYH3Weq5StASQOVFFj/u15iNwOKk5Pq0J4rzO2Y1/OvuGwkUksDRt0ZET0N2xHhvTSxDP6Ey0VgcNQ+9yfmUMg2j8HQyV1+3YwxTEV6AzU6GNi3S5fjydXWj6xfNYmZ2L20s2os5rV7+R0Hw0qYIDRC7TTsBN+vL8VXWTdjDQrdmNgAgZ9FVUoOfwEZJEDMCYk4WYFSuptlSBul+9QABONBb8n/8NfVISZ/NgZbj7Sks5weYSXbuJRj0W9S/8WpFMpD70IBm06OkE2lWNgEzWqy05LC1rxVuUb/xsxuqrZmkTX0k88NoB8cB8IVwnQ+evH21CXkIkls4zK6CadFTYvkQjvN66FdHGO8jqdQTlRERHhlDAg1GXzn438+EyOV/+sKR2fAlFT9JjItBAEJrsO0ozhNvDziHybDGyv7yCgDMCy8Y3JkIj/bW9qPzRCVryUUpsliiPsfy7R6m1PYgksqYl30+KUMl1Myzsb6Esw1tgSlNh5Je54Hku506FHfB/Lo/C5pb6qWxU/uQ4YpYmqtz45G1M/u7VPJeFx0C1HRqyutWzbG3xR3UYS16J+DtTGZ1i3Tm9aTP1vDvcrdCGGVHT34E3Gt5l/ngMf5Z3L+aT1Uw7Su5xLqqarTW4JX0jsglac3vruXiLudAY0riGGaMwwpIuLa+VUGIKpK5cct/He+rQREPtX6xNPZ5RZBpjkU0inHnNNLijoShcfQfCKY4iIjEylhOLHzHSdhtafvsqKW3vhiE3dyLCNki+9Jrnf4nwpERkPPIw8Ql6xIFqadyZXG+zWeBN7Vfg1cc1AgED/nGN/Bzud5TGu/39LdRQflGFxmWy7dwRgrBXfocR7yAsa29F5tNPQ8M894TEoDaMJTH0JuiViXJR3C1rWJfah5Y334Q2JoZe+Xp6OteJN3sOj/1m3ZRiaUtZgR+e26KAR8JvPSU8PMuOy2QqNbmHyZEtk7qX5VwHq61oIXXpX2/Mp3DG+fA8sdTQjuSQWPs1vNCwE2XUlxYJSWnhVOGqJnPYghQaFDVVX7oDEjpvtjkxODCCz3s0CIscpq73OYTuSca8hxbBVGTx1WZzTTFCjeyug61o+HW54gvP+tIC9BCl3krikxBKdOZTL9tIT3x6CZa/B4IT2JBYjP+o/hBb289cgB0QYy1lZZbVyWh9p5qLh4XMuV8btsC/b3kcpSG2nbRCR2WxSgafFg/0I/U+luONa5DLOYihAa/oq8eOrk7KbbYjPrgdt6VtwgJ9OgZO23GOdexOqrClh2dA9wDlRe8ZowhND43yuArZpB3K9kKjo0l/2j9RRiaGVxZ+uUy77LdWkfRlKmBOPOKF0em4jWC3Nnsnmj/ajTbSu26t24F0lrxlGiyMYMQiURftU3zjnNDy9jsINRoQf/vtvnuZ84JQrtb/+kWS6OiQ8NgjGAonqQyR8xqWI04Y/0l9DTy9uUcgYMBv7vNz2d4pZqWODjS88jJzj1RQGm8SOpeVtqmkBFlPf4EeuHEi1ClfkUkkhPm+IQ9rv3lji8edtGkjhmnE6196id+PordTwkl67iZKf98+CY8SMo+lwtSjaQwPE4GcQfGT5AjTFXs3sh1/CF2MajvZ1t452YYvrZuHGH3YlO3J543WYUQGL8JpezvIvTYx1J4xF06Rp/yBsSxo6GddrjkHh/D6wQYsHWDOOoT848Wd6Hk/muIkuQwtU+xC6qG5+SHm1ptfr0QHAV/mpQmIXZeMul+XkiioH9ELYzHvyUKExxKNP702fFIHxPMTXfXPpq/CT6o/QA5L8BaYSHjCcLC/hWhDkXB3Osq+ewR9pTbELIljiujyx+H//aUeRzxD6CGwDs8kQl+vhyEtC97uBhrXHAyTF71n0I36wQic627C3cnLcFt8Ot6qOo7imOXw1LHU7Scn4aVamiC+tY5wtL5aw6EhTqDQyohHhvi0U3fPe08jES4ivYWHQYUqxKjTSN9CUNsO7wHUhlCVTX4p9ynfj6Hn/wSvpRxDAlwePco7BrDxK/8LHbog1Lm6UWZvwfusQXeNDCFDS/11SrNGnTiC3G9+nUZaQwAh8S4MzTfKPMFFve7zj+KVnlI0t3SrnPnGxIXI4CJA+hBofzwjEDDgfzznasaeigF3MHQ+7LiQhEU+83Zb6WGQxpEkDpL/8ufGZWOiWjTcd54kJFSno7byo5Ru7EH1z36Ggm//DT2nPN9+aeQ5m/gMOh8D7fIjIB63GKIKhtJfazyCL2Wvp6yjSHvMvolXFK3RkRDEgx6XG7892EJN71jkJVKdbBo4TnKzNcw956YvwdmefTQM5+k4heLVPkh1svM2/YJODI0OK/CUoM33V3Wjj1rad/YPw3wv0LLZhmjqoKc9WKAkOcVYeRkFqPw31mnX9SGFIW4BpZ1jCF0iQJlPzoflFsqs0gMXI3S5JseZQk7xB5NK8ErTQcTTCCUypzzxW24ijIC2lHtZb/1GFSJzoghwoxG8/KZn3PUoQ/4iljLq5f3D8LmkAipqm5DoNSDh9gx0l5UhYu1KHOxvUghwE0vo8sP7iW2Yj6MdO5FrWgAd67ebd1WTpMZnvNWOWDsu3PDt2xvRm2FDfhzZDWcwikG8NjT0jr29dh4XUxE8foVfqazG2q2n0H+XCW4PRVAsZpYnJuOh5KUKlBZCTnb7oUMs3SuBKTaeHn4Y8ohIJ9qBgEOSsRANX1dVCte2zTi9vgi/69wDk+M05rGv2XvKiV2wIvHPn8G/dx4gS1y3qlmXjMbpvhb8w/xPqXMwMeYzjlzgzZtpBAIG/GY6G1fTF06WdBKUN3TBz/mZELSc+NbfqNy3PovlMdQKNuRkKxrVYILchj2cfOitq8ZJRAgtsr/yZVR+7weo+P4PkPnFZ+CsqmY+zQ4DiS5i162lR8V8mSDWA+2yIyDh4Xup8PQTCp7sY2j09vj5kNruK2ny/QiWNb1b1qQWURuKCGGaQW7Syxr/Rpsbj6zIxn73UTS7ybQ3brDDg3UY62UUhgZmpuZmTfPmlpOqnKnf68GYTY+7+s1IfzAFLdt2ImK0AFlPlyDUQLUuGj4X9bLLv3dUlYtlPjUf3azt7mPNdzhLlXKeLWaeOmqinnum/c30ntRAL7dkoZpleK+3HMYzWVNpaYXCNJalZN0EtEmJV/J985j+ubKxlKjBoMODTiLMu3a1UL/cwXgEZT4NwWhrsWLhHYWIiDZj98EteLl0MwzMVT+VtRYWGvDnS/dhmAjxs91HcN+8z9Nb1SiGOdrOqU320UPSJNZZG8PG+cWnfoPJZnrhxKV4SbkqqyoVSWtpIXr/RYxtSsOdXHyl7bdh4T98FVqdrz5cgIUeZz9s+w4g61nKlioRIlaR8JRqpHyNznPoCBd67+9Fyq13YO0DD8DLyEdLbzt53DfDTQbGD+4pQlvrDvQMuyYIZ1jQQB5/O/aRke0R3bJZi6hMP6TA6xs/Ald49d/4Dgb2eOkREEMaWZDP0jA9BrsHp3gk8lnMsqWIIHDN1diE7gMkqdi+XRG6BIdpmS8n2pUzvJUreuFBD5WwHr26YIot5JAb/cQ3v4XKf/kejT3vcObkuri9jl27lGeuT02dyKdfuoef7E/FXMYQHfx4+kr8snYXslhOlBV55SxtYWNaHG1pw/+6bRUMpBblXD6liffdxlpvvdROG/V4JuMW/Kz6HQyMESVOgNVnU1bjnSpO2n6LPunXUrL0YUcZCWgOwUn1LfHWg40unF3jRc7hMmjbcpHzrVUsNYyAUKj2nupC9f8lkQuNZ8rDOWh4uZKe7DASGFpPeTiLHiVD5pOAapN2ddmnUgv+cMoyYgfex57OStyeMJ/qWOfTOOLlpzycqxjaTEvjoCfd6pXsyzvAEjfWolsPtmOUXO6K6ER6xQBWsVsP/bJg/AZn0bgsFRvJg74+Zz10YeEUI3ExghWMsu5jBAsSVEfEf8hYCMLTOL4yi07iRxJvPjwjklET+3gOfNrJ4tfFy9UQfDbClJUYb5Wb/v/Zew/4Ns/zWvyQAEgAJEhwgHvvIWrvbUvykDziGe+R2omd0czetv/b2yQ3Hf+2GW2aOomTOLFjO96Wt5Zl7b1FkeLee4MYxCLveV4KEkWRsmRLHjJe/SiAGN94PxDnfZ7nPOf8/g8ImzcVlYb9uL5/AULjepixoX79qfMX1zHr0aMIZcunKSPjnEW0SKW2r1uPIEbpyWtWI4TAH8pauGn/CVjKG5H3nb+l7awFr5NY+VrzgbPa4oRfMeDhYl7mIjA+NzMQAPDPzaWa+EAlJW5MTETqnXei/rnnSEobGl3RM20nDNq45csQO3++Alv5opBWM0dbG/r2U1Bi61aamzSgnuzzejLVg9hvFGKOIDs1mbaKqYyunCQocVHgH9KSVkOWLNvN8r/zbdZBLy4d7N/MF+1W+m6lrrvMUsB2qT34Zt4qRJJxfO7X+rkzI+loG0libN/H9OwwJEVNLLAhwFzdMYisWBqYEGBKqAi3qEvHlrYsbO4ZpDmHGYZQN6xUbgsn8I5Nk4pLlhCnHIzCR7/Ag5QndiMdtTqaGA0+uhDhKZHwOr1oXVfHnuwaJXkaGq1H84sVCGI9POfrlFKdHj9aG7+QEzv3VNUjUi+Wdqh70xfhyerNVC6zoID9zH6ClYB1eJqJHRYJJGlVI+cRIbRd2NeYpM07tzUTvNvho8raWYMAbOgHul6oRf7Xk3G924GQ0lYYZ1KaRf6WmPKODo3HUcqWTrMs5ByHKtOR5hlMaW/zwNTK8Jeb1DKrpTWHIv62FOiDDBTTCZVK9lm7Gj1RicAjGcEPwEs2uvxNBceY0TbLhGRnFoxVLnqQE6THlEmErCp/s5ali88hmMrf9QClUru371B17xBue4T19a4dO9D1/hbkPf4YTFx0D3P+poYm4J3hoFMcidFjEzZ8AevrF0JwPPdkAo98WjNwYZ/8T+voAvu9oBkQtnjyjTcgPCuLX0674aMpiTE1hfaIZWwNe5qOTpn8wj3zZRAhus8pdDqiHnLzS69ixi9+qnp4eyksYS0rh6OpCf2Hj8Jrpcj2uCEGKH1HqYF9qjd43NOBXyeZAYkiVyQUU3u6DRuoqnVTyqwLEstwMi3+2v4mSmqGI4oZ8Mm4YALgtdQ/z0sw8TUEB/EKtyzG9rYNyDctUprXUeQ8iCLbRK1kEoGNH0HsHU9ZU0CJ0RhV163+7VH0Hu5UBDJr9QDsFDsx5Ucj86EilmhMl4xUJoApmYpVCVPZS78Tf51/HWLH9NIHs5c9+bpMnPjXPeg/3omYWQkXtG8B8O6dLcwijAPvUyceTFCztGgwNTgHmsJIGvz8HiP8vEufNtkfTIebUdZ7iJ7ds8nuH8HOzkq8aT+Iwnt7EXoiAf01THnnzEfS8kx0xrYhouWMD/g5c8sIPJQg6+rsROt778HZ0YHkxx7Aex2/ZZ39Drhb1yGmeNrpKFul2JlFc3V2sy9+Js/3zFe3LPKcXV1cwD+P5Fu/xKwE7WS52O4+cIAytG8h+5GvIDwnW8J+DLV3IOjZV7EoWYvdaVyEsP4WwsXJVXHFqnwhrWiB8fmZgTOfgs/PMQeOdIIZkGg4atpUmGmLqAb/WL3X21H64x+j/F//TfWAG1i7lj9iWdXL6w3KypDWhgR0DXtBk+KuQ9KqVfDxS6t3/36c/OnPlWvZ+N0FMZIPjIufASGwSSr9lxXrqWWdhCmRKecQ0cZu1UMy2QEqrZ0k43gh+587htkfzC/riYYos9V22XD91EQF4MFsC8qLmopNTa8jNcTHNrRmupIVo4spZNnG2EhLgKvEl4jy4VZG3gQswpWGtfIkrRlFM3Lh6XWRD7GfZjeDZJbHoedQJ7TUK0+5KQuJ12YqE5KLSWNPdPzjH5MFz/KEAlTb26j9fQh302fbyD53GZI9CInkovWGbEbhNTDmcdESwSowgV/OW0W8/IgK6El9epiLGxE1cXY74GxhTzvvTzaCGIm7B9yIzE3i34GXtX5K1ebmcnkjLXwsUWi5L61epffXtx+lC10O9jS9hBvuuhl/OP4fWDPzfoSx+6CmpxxRrH+Pap5NsDeegwgm9R0+zPT5AEVxvokTqKGEaSzSjJk4yXKJMS1NlbTk3cJW76IRSczC+dDxb3XskAV74wsvUrI2hzah89VTfcePo0mEmR64n45uRSorZ2toQM3vfw9TZhYeuel23KLxoNUxAIvehFQK6IwtVYzdfuD+Z3cGAj0Dn91rc9FHJqty6elWP6xj68huLfjbv1XRcjlJaZKuO01Dli8QPi+rdxnypSikmGACuwC6iX/0AurjAzPZh3n69NORwUUf5Bf4DZIGTjZG4SZaj77QsBu9VN/yz//4aVE17X4no+9GGoikIdMcdUZOddyLZRv9DhdcBJwE1p/96WZRDZtDr/AuWznanD0I0wehnczxsWsAATNXiwPGl1kE7oiC3k3CnJspf68Fj+etxHCNA0f/9w4422zQUdRloIJEtVjKjX5vlgJQHUltlxq8/afn76UXx6z9XbTXJEveP8T1TNrWXKYhbNj9Kl6ueBLv1r+AFmsd7O1W9B7pYGRbT8GS4zj+kz3Y+9hGHPneVgx1Os75TPu3KbceFrPfHjiOrf01sE/NRkdFOeeVc0vyWou9QfXVf9BRTrLfCdzPtrc26xFK2C5BBAHQo3VBG6rDSLAw/rsRqT+3B3zsvkZ4vewE1cwHSIhLiceB7m2YF381RigIw0kly36UnS4XTGrkvYcOI3bpUgSNae0UYO8ksDvZSpp6x+3kr+hgraigJsSfWVa7gwuuaepvvp+iTZX/9Su2hs5G5r33kJxnVprn80gazGZ5R8iWEyT6xx5u4P5ncAYCEfhn8KJcqkMSUDbEx6Pw7/4XTvzfnzAl+Edkk2EuAC3P6WMtitA29gtd9i2AIIQY+YMONlDMhZHgCEls4tgktfHUu+5URLdLdZxfpO2IWMdcirqUW1uxlkSie6nSJh7O44edad4X9zRgdlY0SlKjKbWpVb7gE6W6hWMo9e/MOLYdjcmxa7ivqbHzsKX1PbprzYOHpMWOPta3T11wAW8HWdilTx7Bu4kumIc0uHMPORXIwPRHl8FxoA9lz9MulAxsH9utNKzFx85JRPqX8xFCQpuwwi/nkEg6ga1kX6Yq2rMNO5BKoZK0EPbS83yFCT8w0Is9czYzbi2Dr8PHhUswdlVswMJNK5HoTSEaM2q2EpJZ95cWSkNiGBeldHZjH/nErnwjBGAvEqkjX+HswMk8LoatlZhab0SU1saadxAaXCR90jP7sZxrEYIBtNtqsSbjLv7RSGaL0T/LF/L3M+Duo3obzVcmgEV5Xlo1RcoYVGEzFRei1HacZQ89siMKYK9iC1vKGWMhIa/1kIAaUZAPAwls8rcrQzIMgzU1aKWIU87XvqqEmmz19Yyyn0ISSWwxc+dK+oEytHvR+MprNJ35EiwLFpxWWRy9egHYvpyf4cu97QCAX+4Z/pS3L+ny8MxM5Dz+OKqeeAL6NxP4h3yLSqFrw4zq6EStTTfCaJtfDPLlMkSSW9k//bPSTC/4/veoUnWYfeaDBO80WEiKk9T7WHLNp3yKn7vdSyr4FjKtf3HyPRzua8DcGIqrjKk9ughOH5R1wEYQXzMtmSxotvuN6OGgWYWLghxh4wBf+n9ru+zIsrAUQgDxDwGPCJpTlMTMYE2X3AAAQABJREFUQr2tB62+FgJa8iiAEwSHKD5S9cdSlMW50D+ixe1saYrqSkPRYwvR+VoDuj5oZnpcq8AyJCIE6fcUUrHvwnu7/cdxobcqtS3gzAWjpL5l0ThClbR0uwkljnj8fs963FabB02LGw6WCxpTalAztxxurYihcJ1JMp5V24vS3P0wfWCCnroG5ikxsCxJUcpxQSEkbhHQT/5sv2p5kx5w/xghmun0IkV6ApH/eQC3P3oPQrKnYOsv/x2+9BLst+9EmycEDlhQSEGefs8AKilZO4U8Az35CW4fWeoC4vwn6fY+Vw8yWbJwUaxF6uWSFfGrncnfUv2zz0HHxbV70Mao34O97ZswL2El28G4j+YWxVHx/43JYrp71y6k3XO3yq6pYz61CGh47i+USl2l0udOmpPUPPkkEvg3GrdksaqDt23YiM4PtiDrKw9xDqYEFt7+C36F3AYA/Aq5kOc7DUmNR8+aiRRqnDe/thZGaiDHLlqkVvL83qPYSzddnhjZ8L6k4kp/9H9VtF3ywx8qEI+aMV0Bu3yhSPrOHwGcb5+B5yafAZk/C+ukt6fNVaz0NJp4JBuj1Ze81GtrGE1vPNGGb6zIQ6S0jHFTOildsKVITC/MIWcz0YXAVtU+iLsWpKttjN2z9CpLGv1I509RTwDCQBR8DNldVOWqffoEHOzQ2sTUb1pIF+L2xSPn3pmof/okBitHxU3Y7EyCWgSyaEwSnhlBAPj4JCcF1Dzm0dq0ADUzPtR3d/UOcfFoU0YozlYbCVcOZghsimVemBCKmulBOJDeiRtm0hAlmhap/azZDwrSnzljSV+7c92YdvNSRDBNLC1dwcwg+DXbRdEt77szUfu74+jZ066OwRdKx6/0EEy9fw7CU5ej5qnX0PCr3yCieDayyAMI6hzEnpB2ktjmIitEujzstAXdBJejDK3DyTzmE1QzY3886+8upvk1tPbso9Vop8uD9yo3oMM5QDZ9LG4mcTGNNfTWd97lQsIKkTc+8g9/jwraqfrYylcYPYO660EkBzYiejpT38waCBlN0t9SuopgLd6vvyAtoC1vilRqhJI9HqLqYi3b0KKmz0DcyhWcTzeaX34Vtppq5H77W+zL52djTOr9zIwF7n2eZyAA4J/nq3cRxy6kNTEtcba2M8X2B3oDW6CPiz8N2kYyV72UYj3x45+orZb86B8RGk+5SoINe2MuYk+Bl17IDIhMqKi0VdCB6mWajnw152pG1iHoYy37ud31uLYkUaXEg09F1EKGigoZ9QUXWVamS9RuBPwk3d5lcyKFNeqxEbi8QNLKCeEpSDalo2e4F/YQB+VWW+Fb1woHQfzdIht8zV5cfYgqfIszUPvHk9TEdzI9znYokw5xi/neL2Up1bOLrXWPArVkcU9F1LxVQN3lUOAsIO3sILGMty66mGmoPW6MN0CfGI7wbDPiliazF5oOWwadEh2Jd+bhZ+XvIqmpFknrg+DQDCB4DudhzJpCFplxMSkwMhuh1Z7pH1eTxf/kHAzUhTckhfPzb6R9aBCO3+5DemYiIlNj2falQ/6372Gb5QxKwj4LG3259xf3Qpcah68XfgnlPdvhHqbOuLcbRRk3Q6/Lof97F7bTw7vZnYqnanciiwuyGocNB+oP0VaUYjrcbx23U9Xbgm950uDcvYeugN9GaGwMe9cMOFy/CXOLVpFEpletX0OtdG67YY3Kckn03cXWsNjFbB3j37AM6QTpOXgQA8dKkf+D77GffYjg/RTCMjJUN4rP7kDtM8+Qbe9Czre+CWMCWfpcDATGlTcDgW/mK++aTnpGIpWa9eD9ill74p//FZGFBZTD7Fe18X62nPWxjUzqiyU/+iH0TO8FIu1Jp/KSPKFnKn0NNaj/kyptW9vLsTi2EO8caUUUNc6XF4ra2pkas6RmLaEm6nLbR1nko/jN+wQHRogp0eEwThZh8TXppkxU9L2J4eRj+F0NI/oMHWLzc1BVmYmFbdQZT4pD29uMaBkJ6+nKJRFrxv1FiGWLltI9P7W/8ScuCwiJgEfFfkRRjD98zMt6ubvTSaC2kwAnkbSVkSp/p1KcpOP1rEdLTdpcEI34q1J5n4BrIMiwhi+fQdmGbMtjc1M4pgv9J7rRU9FNwpgZ62ZU4bEVi3Ft7t1oa2xFo62KEayozg3DFBKN5clrlDPb+GP1/y6LiP6jlBjmgiKUJik1xgYsi55Gdjn3z/PUsbQUu3g6dPnJeOepX8KqKcOS6gVImGJEH+vauzrf5/7cWBhHVUJdBObRea7FloI/nfwtcsJjcXKgFW2+NNbMRRRndOKGmd5vdfZi69Fq3P6VB1SKXIB4hCRAIahNiZrFyF0LN6N1d08fr0GCOlwny1m22jpkP/yQisKl7u1gqrzxpVeQcd89KqVe+4enEBJlpsDNLSyL9CowN8RbkPaVr9DEJornNMnF809I4PZzOwMBAP/cXrqPcOD8Q9aaTMh+9K9w5Ps/QCdX9sKEdbJVpo3ORWJuMu1nP6WjFAk0jGQC4/LOgHytminoIi1ST1Rs5mKKdpL1ffjB9cWse58dMUkgHk1Xsh4XHazG5IwlfV6j6t8kaI2pf/uPXKLFHW3rsbl5LdXEKBvKoJQ8LLg0TtbUjyI6tRzhXdMxsNcIrZcMdEamYekmMqOLWGo509utgFqy1QLY3Ocw0/BBvO+hEYirg9siUA+dSns7WxhRsxUr1ByCUAKzIYlAPS0exuuoDBbPLgeaa4zwsxgsGqA8ZpkH2awCf/a9DzZYaY3bS02CbtiaBhFBi8+I4hgUr0rHlMRQjLTtxwZ3LR6NvAoPF/4AO9nrXtV/nHafzXiw4DvIpU65ZowRin8u5FYWGnZu38v6t9iIMveNfp8TSaxrSxuaeg3/c7Iu/bazEoeWMhvQqoFxI7kCe/m38QhZ/e5m3Jj9ABdM0nNPoRfWvnU8CTO/TZfF5SOTf0fV1lI0D1GiVW1x9L8R/k0ZWI6KLChU6WyPZwiDei9KQqaxjk4+yilwFvDWsotEetA7d+xEzJzZKlUuC2o36+cNzz7LdrF5KuKW3u9hPp5EYml/Ryvq6fFtmTMHaZRR1UoXCZ8LjCt3BgIAfuVe2wnPTGpqXVu3Me3G6ID3/d+eEg2IjKqTbS1SLwsA+ITTd8kfFHJTZlgc5pF9/NqeZjw0P/+sVjD/DgXmYulIdZStTH4WuTyn6t8dNB0pSuDlO/vLWkhd5T2HsY7tVXYPnerGPs37EhUixIkTUw/D3GtBUk86CVFpdP3KYDSsVYAqVqHMX7MrwcMo2gFXm51gzdQ3b4f447YSqKnIZmQ0rSdQR8+KY/o3EyHURNdSoU1S1ir1zvNU+Ci/876Ap4CpiKu4KS4zWNlHUZZuWE/2KAXBiMIYJPI4wnPNjIgppEKwV3Vsvv/G1Fn476r12NpZjlWJJbg+88tY5lmNXx37IV3NopVGuX/ext/KfnsPtiFmhgUtmxthT/UiOSyK2Y7Rr0IBXDv7vV9s2EsQbkZm+AgSdAVIWEDCWZsbx974E0bm+JBfVMAFzJlFrpc17GD+/Wh5bkPeASTrtOjyaOBUgkejE28g43xu0SISz0NVtqDN3ojB0CEUBFFpjv9UdM36tzE1Wf0tClj3Upgpn0RSqV9LOr3tvXVKtlY8CVrWvsmFEuXj7rsF/1W7Ca2drchbPRV3z1452gLKYwmMK3sGAgB+ZV/fc85OFNRstTXqy+KcJxkBiFSqhfW2wPjkZoDS1WipMyA8wopmbR0VOS1kI58BBzkSAT3xBe9x0z1uTFzn4pvFtzub9Vwxuxg7POxd/qDpTTi8trEPn3PfrXehekYpFuVch4jEaJKomO5uJUCfAmonyWTeQRd5E0x7JzOijg9jO1IS07xGPsb9UhlNjk+iaQExOfRz6uUSYQtgM/KVNL2dkfXAiR5G2V1kXdupIhiByCmxSLo2U6XWxSpUtMelvq22PeaoRVv+nrSFeKJyk1r8FEbyWLRhJAJmoJULnISwVJWOHvOW03dl331HutkjnYfmD+rRFeNBVgQlYLm6EPAepB64gHfbUB8zIzOxtnw7rk+5DYN73kfad76G9ccrkLGzA6Xv/xdKHvsaIrLTEMRsCav7ap+SobCyB7wgMg7J9O/e2ExnMJFl1Ruw0JKHLHp3Cy9hiFH/rraNiItN5U6FGDdaenA2N7OFLE1F471UUhMxFyMzYvK8Xyo1i62gXfQkGGTLmPHhL+P/b6Fcqs8OHxcb7cE9zFrswPfD11BHPfT0eQfuXJkzEADwK/O6Tn5W/KLVGidLrfELmCn2s0O1yTcVeObjz4Cy7qzoQp/Ni8eXFuGPTZsxdSAZJWb6YY9pLRMSWwxJbD1u2+kIXKLvlj4HzMYQhJMFPRa/BeTtHisa7FUq2jvfkQ6Tud0e3YaTzx2GwW4kkYzRtEp9G2HJjVaAGsq+bw2BSkXPgtEEa5X+lttJhgC2P9J2SZRd0UtGNUFbRdkaRBTFIpGSqOG5UdDxHPxR9jngP277AoCZ9K5enTwVzzXswvcLrmfkHUqDkWyKrdRi2gh7nZXDyNlvlOOx1jBi5ZDzGGaxvdHXi4Vh+VxzBGGA/IIXmvag22HFw1mLUdlL16+oYiTElaC7/yUc69oFU1wCQq5JhfWtbpT9y78j4arVSL79KjL7KeLCFjCZ9362kMUbErA6ehZm19hRuX8nQm9bhF1DrRSF8UB0x7vsLWztq8TMxAXwUQJX1fyZHbA1NiOa/duSEeveth2Jq69X0bdfKjXh+muVfXA/TU1Sv/IgXqvg8YbZ6FvOk+K1oM4ejg80odnRg7yIMxry6qQD/11xMxAA8Cvukp7/hIRdHLNoIXr20QqSrPOxaVWtmSYRM+lfLGSewLjsMyCp8EbWr98+1oZHlmUhNyYcN2OmcgWTtjIhrfmjT7k1hRjIgPYxReuh+Avblvh+aR/LiScBbByQCiAMDPUz08Lw/gLGSKgP4beGIjOzGKG00NQw+pWIXjzHRbBFtRDKPviYHIv/uMZuWtXHuTvp41ZRNiP5fomyy3tInLTBJFF2sUWBtlGIcirK5jYlPc5tXswQQZzFcZRaHezEa037FY8g1ZSD9Q0vcl4mPmfx/+492EktcQsc1HEfZotcg6ML94YtVpH3C4y8+z12PJq3AmH8EzjWswfXpt1OO08K5BRl4oPuzbhh6qMqynfdm4Ckqgy0v/a60knQPDxb+HcKiEXEJTM8H66qOrjf2oirv/ooQjOzcbyawjN9NSQrZmFv5xZMjZuPcFcCrNWHVYTt87iZ9ehAKGvgg7W1JLQ5ETGlBD6yyUUqVTTOpfTVRTvRdPaEt9J5zGYgJyKXLoKy8zFjIsGfMU+fc1eunX/eZIE0kYf5OW8KPPCpz0AAwD/1S/DJHoD0k1q4wnewJ7zljTdYVxO3MZJw6EKW9eCDZ5mefLJH9sXam6RrrQ43nt9Th2X5dNxKiFSs8zmx2SgbaMYbTVRpYxTo1/+W2ZE0r1lnJJFtkDaVYar+LQIuJakE3HEALr1LQf38IqbO+YUMD1/2BBXNwksrYOqzI8oxrBL58exbjqeTWVQM2w5jYpW8p55qYEKyouwJN03w5f8kgJNg5SJY92PgOEG7qo894+xdJ/ks6Vp/LVuibB6TAPb4472Qgxz3Gpmb29hL/5/l72FfNyNvpqd7nV1MTzvYkkVL03GLAp+bPdVHO5H9SAnaPmiEw0KBFWY5ZHHybP0uZiyG8EjOckRxjqspp8qzQkZEPm81aCmhCqE1iJF/nlo4HbBtQcLquxE3ewoqfvUsen7xFxiupulLhoOOb93Q93vR8PQzSLn5JkTlcxuUOL2BErpP19CrmyS+it6jeLTob6Bx9DG6p6UoS1tibKILJ3eAc9u8dTviqdUgzHiRSnU0NlGQZhE6Nm1W22x9+21qMoRgujke+0ecsPKCC2iLIFAW7WpTDKO6AuOmbMJfBbitbmru9x5TLXK55qnUKYjnovDcNrwJNxB48FObgQCAf2pT/+ntWMPe0/S77kLswgX8oq2GhoSbCGqfi+xqQOzhk7kuLrKt15e2qZrxNVPYMkZtbxlGfmmO+mG/hwNdtVgQl3tapU0wL5bGE5JGzyJiehnp1nYN4pZZdJYbC4hcHThZv+56qhERC6MxFCo+z7JkmHgIBMeHpeOhwvtYL/ei3UrVtn5qiVuZJmbNvZf91kHeXpibyxB5zAFDZx+imfK3BNFAZ8SIYLcBvgHWga2UK01ORFRRKrIeyUNY4qjwi0aEVPgj/WFBTNerITfjAHbio5v8UQFoMeIQFv9TtduQYFiCGEMiW7oaYGL7FPnhp9+s0udV/Swf6Ui4C8cQe9G7k7lIYXT9fN0OZhk0+Kvs5eQZmBSIHeneRQU7GodwkWBzD+CEpgpFO+3QLPUhzpiIHmcn+80oO5uagOL/8xgOvvU8Yte/j/LD/4P+ZbXoL3sP8VOnU7mOIEzSmow82nWmhUfj1fotKI6aSa10CzwRZPKzjWyEXAZnSytLF0nKs6CvvBwpd9xGPkITWt98S2XNOhhxx61YgZa33uLrEuHu5XVoGcHXF12Htxw16BoaRAFNcu6mYY4Y51zIELW7Dnsr/lT+c7Q76tXnJFIXjbvyv4GC6OlcNJ6ZwwvZXuA1n+wMBAD8k53vz8be+MWn0VODOSdHWZDKQYnQw/iI5bNxsFfeUYj0aXmrFTuqevC9a/NYvz4T6cg1iDVE4Mtp8/Eco8IM1npTTqm0CdBKHbyXAO5jyrOLEa8Mi4ma3X4wFPCmzGjtUycQlhyF+ZZVeHfgL/AEkSg1yQgOCkGHLxpvtx7FdYkzMC+5kOYaRcKbkkAeXoL6gNOBNlsvWnq60NjaRvGSHuylKpnTMMI08Ah11NlGZR9CZE8pTCe2wrR1kCpyBhgZueuiYyBOeHre6qOjyVqPYt9yNOveRhX9qpYyIb/JOfBWfQ55f6JOCJ+E+hx8lXqdZCXySWJbFl+AFxr3ocCYjObBWjqxnd1KJtrpfQc7EEX2uaTunRSrac13kCnupfBKGB7OWIpoPbkhHIOuflT3lWFFyS2Mtoexr2MrUiJzkRzKUkBlNUzTCqi4xtY5quKJXKvWxJ9leehK6oDpFQemv26DxuREwqPXnBZfke0qhzX2jP+ysgq3ZlwFLRcHMIXTqpW8BpZFHI0NXFzEUzZ1N6JKiuUtqHvmzwjLy0Pnlq3UNp9Hg5b1CMvKINm0BvGUUFU1crqazRmeDh8XSJIVkfLC6c+D2srk/7mZddjS8gbLAmIWI050oOBPB41h/oJsMw2NmMkIjM/uDAQA/LN7bS77kY3WNc+unV32nX7BdyC1xh67G3/ZVYcvzUxGctTZsqgyPVqCUpE5GbOiMlU9/LGcFSqiUuAeYkL3EElLXARUdVjJPjcRCE5dQwKui25jdc9WIIi63oa8WDifbIJ3QS606VVkt58N4rIgCB2h1GrkEiwvuA/bGPH/Z+V7mBedjZXxUxFN6VbtEGVXG+3wspatLe2CpcOOzOxkRJZMQ8Q0KolFh6CbvemdQzT2YDq43dGPUnsvupx9Kq0eG2xANHHB7CC4d1cS3K0wtHWBeWMCqY6qaNGnQJ1kOUnRx0QT3AnwTNPrpBbP1LN8TqXX2UGvz1oqmnlY188Kj6OkLIGTKWNx0loZPwWV1ja0EnwHXZUKeMd+1KQNrvcY2eHfniEZcQz6hnAyuh95Ycn4SuZS2niyJs9/XoJYad8Bps7zyDmI4rb6cKhzO+7KfBRB08pIwjuBpKmFNCqJ5zm2IMoQoxY6bAYHFXiAVTForqxE5P5eVPziz8j/5n0kAVpYTmAbGGVWm6z7kUA5113dzciNyGarnZ7Rfwg8dAqUaDt6xky0vPM2Mh96CG2UXBU1tYEjR2EqKFCpdD0B3kXp4+xvfgPmwsLTC4SxhMex533WfX72JFUv7WrDvPWyxm5trkNTZyl8wWwXPDVk0dLpbOV5jS6W/I8Hbj97MxAA8M/eNQkc0RU8A072Pb9Oi9B0tmTNz7FQunPiBZSotK1Onob/one42Fdem1Sios4YtpKJLKekz+tY/86MPSXgQvzwcmHQ8MJJuPqcCGL/9LGnjmNLop7yrKtwPZXG9ndtYIlkkJEra7/8F6WzYEpHAtL3WBGbpceX4hl9h2XhncZD+En9y5jeGofsPRpFnoueEoe0G7OVxKlijJMApurZTN1H6Y3IjkxQymZSh+WhjBqLsH1KdMA7nFaKrPShnj/tdvZ7D0XBpAlFHLMJscM6RDGRYKbJiKm3ByH1jASpJubrG8AwI1NdeAQj+Gj0pJjxem4IOkO4Bwbq0Wwbe4guZXOjMxklcrHCfd6dMBv/UfEqwoarIZFlCDMLKqonW9/KPvPQSJ1qfetjNuLd+W3wGYPwSNZVik8g4C1DhG+Odu3EqtTbuZ8R7Ol4n+dWhMTITLhKNKj+9W+Q5L2FqfdEpqzbkTMyRb3PS3AeYd9244kjMCydgik33kM9dTLX/7+fIOX2LyN+xWzYdA6c6N6NW9MfwjP1x9DY24ZkH3kBBPReGgbZGFUbqcGgpVugq6cb3RRxkchcyGv9x44poSVDUjLS774bekuskrtVO5/kPwFqAWwRiBHAlr5yR22tKpvZq2mX2twEjSWakX0ImswsgQSNgrikzVPoSS5kNv8QwqSb5yjXVx7VsdQzvm3R/9rA7Sc3AwEA/+TmOrCnL/gMeAi6+2qoiU3hlR9cX0AlrzNfkOOnRuAkkqxzSaX/pvp9SnTSaIT9yrGih866tESh1dzO4jxGd4xOvQ4PmtZWY6CyF0MUVuleX48DcTq0J+vx0OIczMiYj11HkvHwCjPCDF5G9CbEaqmRzR7k6j3/g/o/v0qgnEm/bxumtQ8jY0oqDhT24+SdLqxJnY6C+CwYSK4SU5XxQ77o1Zn4MwHqBToyuUPZTmVWpC+BdZEuFU6dmyl5idrbBdxdA+hk1F5m7kOHJRje7EjEhSbBwuOL52IlyqNFOMVk1lEutSmYvc4EYxltvn789vjbsL1VhViS7EIlJc/U/C16DzYluVB2+H0UWKapx4OZUu7Z10w1NzNNRqx4svoD+NimlaSPpL78GbKbkLkarbXcB7XRGYH3k6Fe2rMP9+V/jwRDttGlpAqvjdrtbbCEJaKTrWASrUo6397XjcGqGiTMp4IduSSRmZmY9i/fR+PLm9D0ygvo2LMf/V+mE6A+m7XwLCwL6sCRJ3+N9hON8HV1o7b+KdU61rp2LcLz8tHw5+e5Lx/V1MLZM9/ECD4U6XfeCcvSJazjU7VNyg3jxmnAJlj7OMduLoQGq6thI1gPkuvipuGJgYuBiNwcEvCuU+UzsRZOZyudrebXqLeeVCz6WEMS1mTdQ5Aerd0LeDexZPJi8x7UWjvJNTDjjtS5qnShldJHYHxqM3DuX+OndiiBHQdm4MqdAfkSbCG7e+2hFty3MAOxEWeAY7KzFmDMjojDyoRivNS0F9/KW0XpVbLQCUL9rEn3s+acHMXY0+VD+4YGdGxrQh8Bpr9vCK3ZZFJHabFyWiKW5MfhJGvuFgJdkbkABrLA3f0uDJ5kNFzaTcJbHtuWPkDUNBNS1iyAKY8sc6MWVwWzp7i/Ee+2HcUuWw1uTJqBPBFNYcr6QmqskvIns0K6xFRULhGt/AslO13a4JLDolUtXxTjBJgJ72RDD6GD7W/NDtbbGbEfI3mu00eQ17DuP2aiJLlrpWZ8++N3ImyEc0A+wHC/FZEELWOfBnsr1sJRs57ua3aamuipGMdUe34iquuHkEjTEEt7MHQWA2VgyfxWrmVaiqe6cZjp8imRM1Xku7t9I0FqhmJkS1uVpMFNxUWwlpYhdgmNaMhUF9D3WO3o3LODxiskpSWEc565qGJWQBsRSr3y1YiePwXlv/odnE/sQ9HqW9geVoX437wCN0lrXtbgZahImbfuvn7W6g+wbMD3E1zdNhu5DMnIevSv2IaXxWNgVuHUUOlwgrXcime42JBKFD9YXaUEmbwuN9+Tqbgusfffq8BbDFHk2BTn5RTvwML8xV8V/S0aBivh8Xm4eMml89op33UuZgaYSfll1QZUDrbR1nYYzdR0b+L1+fHUW5FMCVrFWfAfVOD2E52BAIB/otMd2NkXdQbEMeyFvU2Yk0lN72TzOX3bk82LEJKWxxeh3NqK91oPYRrrwvDW4b36NxAbZ2akVYD2vX1oXFuFHraldcSEwDQ/EfuYLs1ne9mds9Ogoaf2oboeZGu0aH+zFs6TjNJpNBKeY4a5iG1ea67HUEMKGl97g/XaeWwV0xNAghDOg5pryUYRQXtPTw3+3LBT2WKuTprOFCvFV3hsMiQmltr+6D/5nf8kUhbg5g3hGU5GvDaviz+su7qddOlyq/sDVD5zsP95kMpkVt63EcCtFEWRuE58z8WhLdnEFHo/6/AEl7FDyG81QTbUB9nZD+3EoNYJl9nN1PdMOBOtKGO/d5YhFtpO+ofX9mIgzolYlx7JDTQzQStit7Th0Ovb6QBGlTmagXgTTDgxqxlr+hfiZNQ7OKbfg3vjHoaPAO0O8Snt98i8XHR8sIUAPg3dlFp100O95cVX2T6gRVROHvq8PYgMjeWp8+RlAUOBnfACGpt8Zy4GNloR9uzrsHP14R0ks3+SGrMw0kdkUaNxIJma5ql33gEdBZYk5h6mTagAtsdBg5jGRtgY9Q9WVcJe10D5VKr5ZWchgqS3pNWrqWWfRJ6ByNlyNvmjbuWCcJyO1k/d15MLkWsoUBcsiKowHns/xLLURdvTI9Ym1LFc4OExyWCxQLUyipd9PLMYugBTXc3Lp/FfAMA/jVkP7PMLNQPSMvb+iXYMsQ95NSNiPRXNLmYIiH0pqRi/LPsF9ja2Iohgd9LNPmWqjfz+4C4Urp2KYGsEmrNMKL4xB78/0YpoWnB+pTgJzr3tqCvvxj4b280GqbSXF42Um3LIZOYXL1uqgk7Vsg2Jc2Gtq0X9Sy8i5/HHoGGa1g/IoboQLIjNRSFblN6nbea/lr6JmTEZWMjHBKhs1A4fBWeqrQkIewjUJIkJONsJ2navW2mEm9jaJGn1CKatwxkVy31p2wo3hrKcEIpIpqlNJM4Z+XgI27okMS/RnZvA/buaLdjRdZI93gLiYh4SjFy2ZX0n/zqE8b2jCwioCLLKWoMXqv6ETsTAHBEDa30PqgsJsOZEeLXh2BfegUbOj9lgZFrfq47DQCcwj7efbH0jtocPo8t7ArquCGzf/TpCewYR5hlBBLsDDExl20hSw7otiPDYUFb6HNzl1TDcXcz8gZYBfy/CR8JVOhzMYEgWZYjiMIfse3HNzffB170JPTt3CYKe/yMgix++xJSbqyLmIRLXHJQ5tnLfNt7aWyi5aolTgB0zfx7S7r5Lkf+kr507VWAtc6eU8Lh48hCMvVzUeRnRixe5d5BESDsXRXzMw1t5bJg2pG7rAHw2Ot5xXrRssQuKCENfSiRGitgpMeZjK8sAP2/g/CcSePZyzkAAwC/n7Aa2/YWfAUmdV3cM4v2ydnxzZR4iRTL0ImfFQ2LV/va3MeKqp0XlaBQ62k7lQcNwJXqWUNu79k5cdet0/Go7SWB2H67vc6PlwCGEMcruSjUgIpKkuRsKWf8eBW0hgrmDmLTm8Ylymrhvea9bQjnVP6N62xvQFReS9e1VYDzIqHlQnLMIyH1snbIzQt7VVY09/BHgTWAUJv3Ykbow1eaWHmZR0XMkwThcADk45CxAFhczifD9AOBvCZNpkcfGp+f1jPQfyFikZm0/mfIjBMaCiGQ8mLlEObSd9XpG7YXmLIQHOzGfSm0bO+vh0TmxOLEYd+TNY886sO2drXh5Tj3+bf49JLppGRG70c208CvVz1ANbzZd29hf392JvIx56MxlWt/lgG3IwSyBW6X8ddMNMIz0wutiy1p/O9PUJgRvLUeokMZGHCg98g46qIUeZbbAyMi+SdMGnScEsZp4VFecFKm6C/oEjDAzUUfnsabXXmP9mqWBtFQCdjYsy5YgJS5OmRH5HE5Gyg6K5xwnIDvgISD7CM5CWBu2D7KnnIBNb3INtdjFJlUTTlU5RvM6tq/JrTYyktrrycq5TFL22ogIlboXdryk8eXDmsVF2O6qdWwdZMqf5yjzHa83Y6Y5TXVMXNDJBF50WWYgAOCXZVoDGw3MACMoTkKv3YW/7G3AdVOTkGnhFz2//C5mCEmqg2Spg107CB6j4D32/cNsrXLE9EHrqML/vMF+brLa74gMR9aiKASnG2EddmJvTStZ3z5spOWms9+tUtV2po1tBGKrx0HHLEbI/LIWZrh+URabj+sQ1xSMmMQ0COs9PSyWETN1AwjGERI5876YlrQw2nyDaf1WktCk9Wwe0+0SPYsamL8uOhEgjz3+C7kv27Iw+v0mOQCObDf70n0wheqVpvhE8ykM6ZTwDNbqmQFgqjmMdeNbsmeryN/Fc+0kyCa7TTwXAjGzC6bhUPqJNCKSr78+aTbernuOCm+zsDDpWgaddGWTSFYWOvw3REew+u1b0FJ2GAejelkTL0Ba8myc6DlKgpwL3eyV7zRE0qqV3ue6Rka+tWS9DcJo18J24EnMYo3+Qr90Jc3torSqlrVvaatzkYRmZ50bWz4gO58ZlEjamdIyNIRAPArM9ISnwIs2l0As4EyQVoDMbIpGyIfMBsjCST6Xkhngf6PTz/NT6XX5Te7zR279w0yOwbfzV+EVqgPW2DpIYovE7SSxCUHRf539rw3cfrIzcKGfpU/2qAJ7C8zAFTADQ0ydv3W4FVFMVS/Lj5+0Zex8pyoA3mBlDzfBdrLhDfbhUPJJdFpCYAzX4V1G1lsJYqYOPUFMjxqmT6cmxhJ+RmBhH3mmkalXgrCksYXpLqlsrRCbZAesr/Z49qDp9bdQ9L0lMCaMGmL4v6jHAnI4a+N/HR6L0v5mvN12BAf66rA6cTqJckJ0C7noxcpk5yePy36FPCdGIAybR4910jewfh8aj02N21HSUoLWZB8O9NYyIs8jAZCtXjEDzBowglVQxoB4xEujkt2YZplNRnwLX9OGW7Mf5kJFmtPOAJnsLowZlODUHNifeR4zbi+GLUaLa1JKqFRXCV+EDs36Tnyl8HbF4JaafWnnQexq3MhywzVw9JaS0Hds0qOe8AmCbFhONkJTkhBCcDYmsQRD4RkN50IOzU9GEwCW+/5atwLkUyB8Gpwn3MGHPyiLpOSwGHw9f4XKQEjGRBZpIqITGJ/uDAQA/NOd/8Der9AZkJaxI419ON7Uh+9ex9Q1LTc/2hih05TQhkbJRxNtQ57x+bRYEjEDd8zIJ1OdAiz8MmfQiMp2K/50og5fu6qEoMb0ufrHL35+Kfth8KwoVvBxznwMlVei/cVXkEMjDkmtTjTkfUYuBGbFZKr6uBDdXmzcjaSuKCq6TVOOYRejCjbRPsY/5l9IjH/c/7ukeJuYGdgnbHTWnmfuCMOy7xXi13Vb8WrLQcXgd+V5mPL3oqSHUrUWgrHbiur+UtyT/01san4d8xOuZtQewU2eAm9OpETDMqFSL25/9z3qtmiQRKGdg9YT7FmnRGtTD4LYu57aa0fP8bXwdvdhqIO8h7ZazHJ6oTF3MdKXhgH+dxFDE6JnO5sVe7t6Uesqg+mIkw5nA0jXSetcJELMFL1hn3yImfellc4sj5vZMz7a5XCWyp1ccwK9RNdqHnl7oUOudWgQFw2B8ZmagQCAf6YuR+BgroQZEODstDrx8r4G3DYnDQmRrCdexJfl2DmQVGeiYdTfWtqcJhqsGiNRm4uH55RQGSz8dOTrZi33ZDOlPVNjWIsmMUy+vC9gaI0GpN5xOyp+/gu0b9mCREp2+vW8J3q7RGLilHZVfCFmRKVja+dJ/Lp6E6ayRnp9Ygn12wkuY9LqE23jUjzmJUu61taFP9RsxZzY6Tg2cAz6VD214FnHHhmihecpL3Wupdo9/XiCxyhlCY23UXmI97o6SELrRkn6bASxa0CeE+AW0Jaeamd7uxJXsVZUQmtga9of1iHN14dy7T8glJ7qPmZadFERGI6l4h39BRx0ePMR8yL4L5w95MaMdHRt3sIOAOqoy4fkwwY/Mx6THltnxWG/doBXn9yB+FA0FyTib8yzEUPDmWEuHoZYHx9oaaGmep9qQxNt9SASH0OizQiJNKv+eAF1nYA9b0MJ+FoCvY7pd4nY/YAu4H4a8OXY+PvFfG6lxczjGxV7kf5wHfkFZy0OP+x8A89f9AwEAPyipyzwhsAMnH8GHGSbv8SWseLkSMxMZ1R0lsDJ+d87/tkgtujE6TPZqZuJoRESoFjzHj/CtNF4cNoNBO+zZVklC3C8qRd3zE8/161s/EbG/i7RFuVM0++9B1VUHjOlZ8BUVKjY0GNfNv6+1NHFbOVGum4tiKW1Z9sx/Fv5O1hiySe4F1P6lJkBvuZyDK8I2wx2KPBeSvLaImYFGsvfhHumF28xje1m7XssZMp9Yc+/1LAH2ajEbM1UbC17BUXWJHQcXYuW3n64u3uoakcw5LZ1jHBH2LMtQC5iKkFsyWvbtx1VK+OwynIjOo9vBpq6EV43QDA9jtCsNDSnuJC25jbMmLIGOqrVsdkd4AKr6bnnGIoT5D9kBLHv3KbX4iAYzQvQqoxAEPope3osOgi3lcwhiYylD1kMcKEhhES5rxYdZJvLsboJ5m6ei4D7YE01b7kQoAmKm7dSDZfz0gqoj4neVUTP668TSVsF8pKaH43az4ng+VmRx0SlbW93NV5rPIBeZj6mcfF2V/o81svJxeBrAuPyzEAAwC/PvAa2+gWdATcJVtsqOtE56MT9iwqh1310wBLi1IDTgz9ta0VV4wIkZdoxomM/rgIjfmmPBEMfHInr0x5CRlQavyjPRNjyZd7WT2tLqpjlkDx3jt3oh1wfqadGsIUpec1qMqGfQ8H3v4tQC41ALuDLOITgJmpdd2csxCKC97utR/AvpWtxbfJULIzJVcz1S1k/FfCuJHg/RYW1FUlTsNxSSFlTaq+3mNE+t4fqar0Et3NPWOaoxdmDcFsLWqq64coZRnrvFBjj4hFaUIhQGrAIiGlIgrM1NKD6v/8H6fdRoYwEsQG2cw139qPoVQ86497BiMWHwTwS/u66AcV5V6HeUY3m+udJXlwDA81oZP9iH7srupBEs0xEN1CvnhHrhIOvDTaEIvXLX6ZjGoVStFW81mO0ygm80k4nPd6aU734sp0zV58dXwRePZnqEun70/9yEMKpOA3yJPhJtC7iMXLropStvamZlqvH+ZiAP1vL2LOvZRSv5zxo+SMLO9Gq1ynQHwV5DclyFa5e/LrqffqpO7jLEWzpLFdkyf9VdAPLLGfEZyY838CDH3kGAgD+kacu8MbADJw9AwIIjT0OvHe0GY9elUtvi1DJTn6kIdvqtg7hlxsrUdYygOkZuXh03mIc792HvxzaTkIa07ueONw6fTUWpxQiRJytxgxRNjvaOICp1BAPnURvfczLJ7wrql9xS5dSKKSakqAvI+uhh1S70YQvHvegRF1COssxxeOrOVejcqAVb7YcxvauSqXoNsWcop7/uEAukrIn+1vxp7pt1IufiqWWAohTeduRHiT4UlHjaeJcTW6tKX3TJdlXod1Shmszb2Vv+UxGpuxA5/z79cO79+1H40svs6eabXt/eZFp+VSYMuhxXpCDjul0GSvKRaenkTavPViSlY8RptIPtOzEzORldJqLYOsV0DHgxNNs8QtmxHz3d7+Bxh/+gwJN0ZNXojfcH0PZ0c8LPzNhaWlUxVuNuDA9ssvtFPJhipwlAgFflu8x3ZTMs5z8wzW2xq3Ibaeuz1iQ1wrIc5FyFsjLeTOaVyDP+14y6z0DAvKSnu9Tx+wkM37gZDk8BH53Tx/b7pzYMi8N1pwwDJ/KNklEXkpf+y5K5qZqYgJR+Li/j0v1awDAL9VMBrbzhZ4BCfAkwnp+Vy2WFyYgL4FOWv42nYucGTEqae5z4N/fKUcbv/gX51vwyDIaiZCEZu6h4EpbOAGbURZBcl5qAaP8s8Fbdif178Mk0d0wnW1FHyOFL4Iu6V++E+U/+wW6duxA/FVXnSXn+WGnJkAuEdiU6FTkRCZif3cNXmvaxzp5OW5InklXsVjWxy9MmnX8vjwEifKBNjxD8F6TPB0LLXlqUeBj1qH/UBeyioqxz7kbycb5qLf1EcjPHkEK2r0k/YXBrjEhJzQXQ63tEKMPa3WVkiV1kTxGhFWqZim330b1umxlgypRZvvunWiseptWrJ1wMa3tYHtahD6KGunNtOdswJrMe5k1D6aMbT+e2VmHqalRuLE4FgPr6DJGcRupSZvycjDU0gYP+8xDGemGxlvgYBQsTm1dFHyJv/YaPJZ3NZ6u3Y6TVOMzOn2Ye6AZxrZdcK0MV/VsyRBIh4FkIoTsKD7oF6RRzmvjz6hMBvJy/aV+DpqsnI7k/SDP6ZTHnC4KC/GaBtGCVebKP7h5kv1OLUr8DwZuL+kMBAD8kk5nYGNf1BkQtbV3j7WpftuVxQkfOeqVunVF+wB+9k4ZBoZ8uGZKAu5bkMlITsse4yHakLYwm6pBQZKZblZO6qG7qRB2dssWv1/Rw9f2MI1ckBjxkRcSci3lCz6EUVrGffei6sknKSaSjoj8vDN9wxd4waVWG051tSVx+ao+ur2rQpm0FFOQZTUZ63GGCAI5ZT/lW/8ChkR4J/qaKe+6Azclz8KCuBy2mOlU+tY1QPW36n5k3TkVke2RmBOXhReHSpXO+oh/UcVJIk8fWbDiMDXT51bFoewPPybwadm2RTnSnDzELliI3n174aB5Sd63vqlsT9m/NXqMfH9UCT3H3/kTOgrsBPUwCWTV+/d2fICp0fPZ7x2O7SynvH2kDWu4kFqYHYuR9ha0vrGWbmLxsCxfitSbb1auYgKEUkv2sc+8/D9+inCWL1rXr1dKa+m0Ev374hsZ6ZLNzvnx5neg8423UfZP/4LElVcjetlSdOmGsZkqef0E02JzMhaxZc7ArMyFzebkE34hkXwYQX6pZga22xpZ/7apRYRcy3kxOYhhzZ/LhMl3EHjmY82A5kccH2sLgTcHZuALPgMSMZc2D+Cd4y34KiNlS4SRX/IXPynSN763qgc/33CS+uDA6pJE3DN/FLwH6Wf9x+21qGofRHiYFt+9thDtjNKNVFZLizaSMHxmh9JKtaOyW6mfzSNofJwIXM5CgCWUrGWGV2h7912Yp02b1BHrw85a6vQGRuRZpjjMZBtWk6MbLzN6EynWOAqESJ/3+LS6RLvyT4YAipuRZmlvE55t2olbU+ZQQGYUvOX5ER91uve1Ewh9iFuShBZHLeLobJY8oEcXwdNBC9GQYQ190Glham9CWls7o+YILE1cjYybbkHKzTfBMm+eYozb6OTVvXM3cr7+uBJIkSj19AKDxyHn0nfwEA4nt0BDroOYpoj16I6WdViefBfWHenHrupuPLA4U2nga4cYqf7Hz0YJZHxv9te+Cj0FWqRUoX50zETwR8hrPbt2w7JwIdo2rEf0zJnQ05VMz3kLkV54UwSvwVTK4Waig1F66Qfr8YS+GQcHm5TQylEa0LiY7i+OTLmwSFwm7mMMmRPxZs+LSFQqfeHsn18WV4S76aQXzja4AIB/jMn9kLcGAPxDJijwdGAGzjcDAi7dNjee/KCK6eqUUaMSsd+6iCHQ5GDb0rtHWvFHpuBHaD5y44xk3Dk3XUXeDrcPr+xrwpGGPvYse7GqKBGzMqLp8+0hW5oiLWlijnKmuukike61A01YkBOD9Bi2lY0B94s4rLNeKoQpQ1ISrCdPwlZXh4hCstIJNh91CEiHUxu9gPrqEoUfI+i83XxI1gi0E6WcJ9P+8sXvJnmrd8iOVjqUEb4VkB/tbcSzDTupBjYPc2MpckLQlyFRrM/hQvPaCkQWsRc6ggSzlnLUVe5B/J/3Ib+mE30FnXiwvQAJMWZUhXpgjHHh9hmPIz1vDhcpJKyF0kKTgCR1//rnnkfWQw8iktHw2BSz2heT1g63DSccpWjUtWCQ6XPhJXQ622DWZmL38Wiqu42w/z4H2XFU4GN7VRsj6o7t2xGZn4+o2bMQO2f2OXOoFkts8+rcth0RU4qVZvlgTS1NZ4pOv1YAU+Ze6temWdOxI8KFw8M9nCvRihv17W6mGYm09Ylq3ulFh5qly/OfLGakA2E+uw+uTijC1KjUT2zfl+eMPh9bDaTQPx/XKXCUn9EZcHqG8er+RmTGhmFeVsxFq61J2tXqdOPZXXXUS++E6L1cNyMFt89h3zAL3aLLvbG0HTurOgkYw0g0G5CfaFLRdU58OPbX1CsrTv/0yIJC0uptjM6LkliHv8jFhH87E92Kd3Qq6+GVP/sZuvfuRdzixadBZaLXf9hjsswRolsmo/G/CluOSmsH3qY0666eKvaPT2N9PI7ynfuxo6OCPdAeGIL1SuWtlbrlD2YuxXSJMDk/Ppq7iEOXg73Q/ccq0HtwB2y1ZOy/5YF+SjQ6UrqRogtC3Pe/ipCBF1Cy8Ea0tr+J4B4uSsLykBKZx+h51Pta8uAO9nvXPf0nOnpdh8jiIsX2HnsuIwTKNkbvL1c9iVpTKVwj7M9n5O+lpnpF3xGqsrUgNyIfD8xZBLORESi36eyggcorryogdjQ0IvurjyJYFgsTDBFhSVy1gjXw3Ui75y7UsJWva98+xC1adNZ8y6JCXuuxmDHS1qAWP/7N+bjwERMZWRxe3HLSv4WLv5VFmeZj8C0ufo+BdwQAPPAZCMzAR5wBD8Fjb00X6rrs+MH1BQpwL2ZTwjTvItP8ifercLS5n/reWqxi/fw2AW/e9zCS3l3VhbeOkNTEDd8yKwWb6GoWH6FnhEp5S3qBd9lY76UfuIEpXIm0vGSfH2vqRzZJdLKNS/rlze0bExLYH34f6v74R4SRjR2elXXR9fDxcyREN6nXTmHtNodgfrC7Fm8wGu9mPbVraABCVhMYchKQ9vcOYVF0DnLp+OUoO6kiZeV/XVtPcGPNVxdLBncmsr+yHIa0ZBLLnHh/73dgX1qA4WAXe7pDaW7iQ0X/QeUj3jcyi9h7KnvB6+EaGCB4P8M6fyEZ+MsmFLCxuwfxcvVvUUVteS//jU7yaHZAbECDNJ0Y0K+lKAolVsmAF9evyid+rRjoekbXRvp7S4vXZJGxRNdRc+ag5b118LK9S5zGGp55FkYSySL4o8RXTk2i9NXPYM/7ByQFeukAx1OgzGkw0kgOjGNELHMbGFfuDJzJu1255xg4s8AMXPIZEPCVPuu1B1tw13yafpguLlUpbV7NbDn757dO4BjB26zXKMKaKLcJ8Epd/Tjr6s/taWAdUQOpZS9kSlzIctHho6Q1I2ulSYzIG3psp/uc5X1HCOAz02l2wQjtUg+J+iQqtSxbhrpn/ky3qwFGfhLnffwhEZykfBfE5+HRnOXK+UzaxE7HkAQjsRY92FyGPX/3XZx8+g8Y6GpG+KwSZP/995D3j/8bQXGLELN6OXRZqfAZtOjqaUNYLwlnC8kZcFABzRuMst4DJMyFUDUulYcepNL3YnLictrQRILZMO8n3XoTgkgOHCYgS++0/Eh2Q6Lsoz17UTdAwBzTmz327MX2pMfVjD3tm+FxO9DJtLmDfeTJd9yK/hPliFu18kOZ/JLtSFixEu2b3qfbWTZiFi9C45+fpT/34FnzLXM2gxoAd7LeHK0LVxr3+SxJfDX7aiVzO/a4AvevvBkIROBX3jUNnNEnMAM2tio9S3Cdmx09WvceU4P+sN37mea/eO8kmeZexISFYCnNTm6dPRp5DxPca2hB+oetNYijlKYhJFg918NoW8BbvLJlSG07JyGCxDYb+71F8Qqsu3qZERjEQ4szPhb7/HznoKHVZALbm2w1NWh58y2k33mHSuWe7z0X85xUv13DZPERNMcPWSrYQ4ax+04T5UuHoNNVU7W0CZq+HQjuCIY9bZA2nnEIrRslT7WdLIWdIuQHbNvU3Az5BrG58Q0m5F0o0M9EJlO+rzRsoWtYGrysNQ+0HUbabTejbqQBGvauaykHKmIpchvMHwH04917mRU41xlu7LGKkcnJvoOYHzQLDc+/wIi+gD3TPTBPLUYYTUmk1n2+EUzOQcyCeYqJ7mxtQcI1q1BdWYH2995DypduPmu+xTjm5pSZWEnLVActSKP1dCjjMQei7/PN8JXxXADAr4zrGDiLT3AGJAreeKINbt6uoU1oKNPXFzqGSEg7WN+L326pYn2SxB8KdSzMjT6dNhdRj1ZG9r/bUoN4aqj30470GysL2SqmYz/xAAGdVp6n0qJS3s60hGHbyU5VBxcAL23uQwaJa5FU8rqc2VNRIxOp1ZM//TnCMzPZcjX/rPrshc7HRK8TAI+ha5qOIOQkEI4dkhCOpTznV2bfTfJaMAGVSWz5cbvRsaeJZMBBWJIZfdOhrbetAUNlOxGxsgj17nrYCW5aitrYfHZlNxrM1HmMxoUjLhu2Ne5DeFMFjIvS0ec7Dh9FZ7xM3VPNnHNLCVV6snsYfbtZb+9z9THtLpmByYdE4b3sUa957XeKAJdyy5dQzVp27l9/a9La91lb48ULoTd3wlXL0L5hI3Iefwzp999P/sEvEJ6Xi2h2Agix0D9E/U4cwiJ17Ei4nBfev8PA7WdiBs58Aj4ThxM4iMAMfLZnQFLfVR02bC3vwDdX5SOC9pICKh82JHIUpvmG42149WCTshhlkRSzswS8R9PmkoruIWD/bks1t6slkA/hW6vyaIZiEI4UOgZdsChjlNG9iVBMtiUcz5EAJ/Vy0U0/QvW16emUvbyE5LWJzk3qtwZGkun33o2G5/7CejPr4VQP+7DIcqJtjX9Mth1FcZXlVFXb2FGq/MoljS7zbGS0eV3SNCSFJaso099e5qWIjuOwFVlXFcMSm8j5GML6tdtgTQxHq7MMQ4y4RzQkvHEe2YiFWXHL6Pe9klE+fdB9B7C5fBfuznwYqXPm8SFZGDBtTltWH1P4Lq8dHY5WtNjq0DxYy37yI4zgP0zLPAhau5dZilrkPvAQBsrLVE93ePqFz5FE4ZbFS9CxaTPsjY2Kb5B8+61oJDteTy5CGLsCxq7SZN4u5LM4fr4Dv39+Z+D8eZzP73kFjjwwA5d8BqTU20eA/cvuOlw/LRkZsWecv863MwHvQQLM0ztq8QrbuwoSSC4i+M7JjsHts0+BN18zIK9hr/doFD6EuylPmUemuYaRpjwmhLd4k+F0hCVf2JFcQBhDCPZUbBM2e2WbyKfSoELC8cs8BGBEzCRm3hySrJ6Be1x99uPsPpQR5d3pCxVYR2oMVPRi5E1S1m2pc5UUq/RDy/lL+5LAlqfPS+tOO6IKYsmE1sDa34vGocNoSO0m1JKlzohYDU6Lh9H0uvqXUNF7nJrpdsS8/j7c4aHozk0mzPvQ4WyhZO0erOdrni7/GX5d+hNsaXkTNo8VGRHTEDWykHs8f+wTRIKjqbwftlQDWhPZ7rf1A0SvXE7d1YtoveP5idmIZclidLy/WbXJWebOhYnCLk0vvqzIcR9njgPv/fzPgOZHHJ//0wicQWAGLv8MiNCKtIxJq4wwwg0Ezg8bQnYTRbT/3lSFw/V9WF4Qj+ZeB6alRY+CNxXWBGrtLg9e2teIBj43xF7vJayJryAj3W+G4mHouKG0FVMZXQv73J8mFWJVXbdNkd6k/t3DFjJ5n79O/mHH93GfFxA3UJ2tl3rhru4uZYDycfrD/ccjoCzCJUXhCYhiJqK3vxs/nnsfZluylBDM2OXJCMGyc3sztLTwjF2QzNS3B5ve+T0FVpiZoJXoRMM74kKHtREhu2vRoemBLzcWm7qP42j7KySoHVe2mIlhKZhhWYIVKV/CnDh1xoQAAEAASURBVPirEaMrxIZDPrR0jkCrP8FI/YzByNh9BHGxoR8MwtSDjPVvX4r2Q7vgdPShZboBIcwsGHRhPDv5x8UHQfp8I5iLN1HCa5IWtJIpymAlLCOd5LaNCtDDMzLO6VE/3/YCz11ZM/Dh30BX1vkGzuZzNAMCTkxi8ojlq+7Dv+wu56kJ8exwYy9KW6z4/nUFCCNT/MOGpNuFqS6a5r12D+6cl676uUV45fZTaXP5+nayLv4eZVhLm6zsG9bCbNZj9bQk1Rrm38doy5kLCWwhG/ulL5F8FjMBZa1WPj6Caan0ef4QgpR/m5fklgAUEmFCxgP30z/8P2HKyUH0rFlKHvTjbl/mRshYWpYejGy1jqQdqfw+fgyzP77vUCcSr0knmHExNNCHzubD8FkmBlh5v8xny1AD1iX0soe/iH3bMWjsDyFYr6I4TD4Vz0gCE7sQnt8wldtqO634/ZYKstjZFWB+BwWafNTrO8g2J//gFBtdQTHBO9yuw7SdjMDnz8R++yHMPjqEFGkFMzjweu2fWLsPRUnsHBTHzEFECB29mE3QkCA34eD+pfUsZv48dGzcBOODDyCU6m0Z992Hqt/8lmpsWYhkRH4pShcT7j/w4Gd6Bib51HymjzlwcF+AGRCSkM3dh5qBSoFuZEUWsJ0qUqVMP+nTl4WEuEm9wghZgDdO1aHV1/WkhyIRcxU1zX+67qRafvzVskysI0hPIVv8tlNsc9mCqKbtZK/31rIOZFOgpcfqwr0LKZ86boHgohe1nT9mOl35o2/ZudTBs+JNWHuomVHjsBKAuZTiLZOe4JgnBDyMrMem0uyj4S8vULEtmb3OSZcEVKT8MOQZosOYLOPOHVJacHY7GP076Q4WrcB0/4Y3YI3SCsXgvEOY5Tdl3IOSzKt5rBoYO6uwp7cOcy3FXCiMOpg5mXU5WNdJoZ1yROIIQi3HcGPqLcoy1OrrxwuVv0V5fxWh3o1QAr2+24X5G4OREp2HwjXfQNKu9agP24DdxmO4OvoOLEy5Di32ehwjk31n60akmrIwNWYess3FzCwYeT01vL5nkyKDKLUav+JqlP3knxG/+nqEs//eRHW4xGuuIf/geeR/9ztKkpWrjfOeb+DJK28GAgB+5V3Tz/0ZCYFIyELPnvwlupzNiqiTaMzA/QXfRmJYKr+nPlnqhp0RoKS3S2jNOYMSpjqm0M83hGkuTmC/3lyJaFqK3rcwA6+y9l2UbFbgHXYqbS6Ae4yve/1gM2ZnRuEwpVK/c22+es/YKFvayrpIYItiX/L43m4B80QuKBwUc7FEhCB2TI38fMd4qZ+TtHkM5UFtdPJqeO45pR8uLOqPO2Tx5KaAi84vtjJug6J93n+wk9KpVMHj4sY52A/fjr1cTExHE0ZtV8e95fSvGka+8Qni5iba9cGYH5ON9ztOoJqKcGJ3OuQeYWakGeuPVyFauxExUQO4c/q3kRJfoJTbgrxS/tBgkNF4DrXKk0mO06zbRH9xLXL+5lG+JgTeHccx8+aHUBbbh5dqnsT8hKtJoFuqNNOdJMeV9xzC3o73sb7xJRTGzERJzFx+xtOYRaEpKhcY8jmQH5FNjaH0ahf7wo333A3Vynf1VRikL3nT2rXIuuceiHNYYHyxZuD830RfrLkInO1nZAakXWddw8toc9RjiOpSQ/QbbhqsxqbGVz+0//ZSn4LYcm6r6EIve7BvnEkFrfO0jEm0KGC/jkzz/9lcBZE6fWRZjtIlz2e/tkTefvCW9HpluxXP7q5XEqwH6vpx/6IspLIFbLwNqehbdzEyj2dqfSJdc9ENN3BRkBQVds57L/V8nG97AirJX7oJXucQdb83KGet873+Qp9zuj0IFTCbIAYf5mKp93An0/bxqkf74OZ34aEIysLiGyiIM/kCQrYVr09GnDFJZXUkdg2jNvtySyHeazuKVqudffgV2Fx2AubI1wiuGjyy/MdIS5yiwFvY7w4qsjU5W2Ed1tNIBHjH6sYHc2egbmkedEkJ6Dt2jM36WsTPnIdlaTfi7rxvoLLvOF6s/DU6aDkapjVhXuLVeLDoB7gn/1ukxWnxStXv8FTZv2Nn+wb0ONppSuJUWQXlzb5yBSVs98HV26tEZcTPO41gPlhahp4DBzDsObvl7kLnN/C6z+8MBAD883vtrtgjF7GMVoK39N/6h9QZ2+ixLM99UkPqpCKKsu6YqK1lsvWLvdWT7FzAW5jm4vv8yoEGLMuz4E6m21/YU4dcyppK6t0P3rLdJqqnPbWtDjNISjvC2vpq2k2WSP16guieHh1oJwPdEm5Q0dj4QxD1NTdJcPLWyY5v/Hsuy++MFEMiI5H5wH3o3roNAydO0Pf6zDX8KPsUoBRRF90ErHpJnw912CmQ4qSvdhRVz5ywb9tBHfFVXOyk4urkG6ELIutbLs6YIeBNfjcS3PHUMBeS2+gLxPJ0LqPw2v4+/Mv7VFtrPwZTzGtYGTcVd674O0SZ4rmAGk1vS3tZ9SBd44Iy+ZnUEGSpEsct9XIB9n5hDDNHA2hnzTr5mpUI5sImRBOKtIgc3Fv418gyFzH1/gR2tK6nPCx9wDV6pDCVfk3GHXi85IdYnHg9mqzV+M3xf6Le+u9wovsAGfCD0FqiETl1Cjo+2IIR9r3zwwADJVnT2MrX+MprtD1tVcS2MacauHuFz0AAwK/wC/x5PD1pDUowpDAyOlPhkbqgxZjC76zL+5EVcBUDESeZ4KMtYw24qigBuaqda2J45FtYux5SNqA7K7vY/pWB5YVxeG53A52oInAHtc394C0pYUmH/2Eb+4NZu66njnoxU+tXkZ0+WXQv7+nk9uMiRMTl7CsqkXw9WeghlFWVOj1//VSH1MPD2A+efNstqj7r7KR8qUzQxxhuArieQEy8OmsI+7znUAfVzWLZ3D2Co9s3Uik1GCXzlkNPe8vpkXMR7tFDH8w2NKGkcS2hZ23bYkhlO1chNpNjsWn/c3AODaqIVvgI1W1O2FpD0as9gvDYTbgv9x5cNf9BhNGv/KyyBheUJ3qOoMtDdTZu2z9GeJB2PrL76Ha4nQ6YZ9NxjEx9GfK5DtfRujR5Ne7K+zpqrWV4vvy/UU+ehzDnJW1uCo1UBLc7cr+Gx6f+H6SZcrC9dR2eOPZDbGyjzOuCXLRv/wDOvh4eM/fMbUdNmYJYtvLVP/ssPDb6cXO+/dKv/uMK3F6ZMxBoI7syr+vn+qwErGMN8YyEyqmANaT8oUM1RqYgH0OUfnITiI970mIEUttpY726kS1b7djB1LkQoR5YlKn0ySfavgBo64AD//p2GRnnQxR3yUM6ncme3l6PLIqs3EFL0NPgzQ30M0oXiVQjU97yhe6hi5b4RZtY3x6HT6d3J4S4jTQxkWg9yXy20pbU0TeUdiCWfcwnmZJfURSv+sJPv/lTuCN66Yb4BNjb2lifPohI9oorm86PcCxezs+eygMqvT01q4QCNWcWdeL53fhyBRJWpkMbGYTSPz2FmBXLkVZYQiEXJ97e/t/QsY49I3sFRvptyDuiwzWzH8ENBQ9gXvxcup7V4MRQPYKaqhFP4trG0k5mTEphxm545drl30rOw1y2bht45GdfHQeNVt6qfRbtvmjamZz9XBCPOf5YDWbPXwFzXv45bV4afr4jQqNQEDWDTmZObGh4SSm9xTGlL4x0+fxrmXo3aMOoGJeJaZb5yCCJs2OoGTv7NiOE/e72nnYKu2Qr9TvhH4SlZtBDfA8c1gH40hLR6rKqY9ZyQSFZg7OP8CNciMBbPpMzcOav4TN5eIGD+iLOgABbuikP35j2I1TS8WnIa8POtg1U5BL1q48XzU02n/50+T/RXETqzQLMQhArSjJNuksBzyqC5s/XVfC1wD/eXKxS4E8xus6MNZ4F3rJf+5AHL5IMJ3X1dEqgHqztwXfYkmY+T2pe3ifH1ml1qgh8fBQq4H68qQ/3LMhAAyPx5j6n2t74Orps55McGoMeqZQPrfj5L9Cx+QMkXXfthUmIjj9IzquHEW0oFdjG1sAlfe5otcHDa2XIYBvd4a3QeFyYsfRahbVlVdtQF9SAu2d8G9tb3kP8ESdWLP8a4rJmQ6MLpRPZMP6m+Mv459IX8OZgM7a++hYcXkrQmjdgujEWhvR5OGDvwhxOuDDgxw6v28WsRxlC7CMwDtngCjNh5FRqRIDSQB/wuPpOxD48d1J5WRWNUy52ceK1yIksJufj/7H3FWB2VlfXa1zuuLtnLDNxdyEkECC4WykftKWu0PYrFKh8bflLSykUKFAsePFAXIh7JpNxd3e3f60zuWESkhAohZDcw5O5M1deOe/lXWfvvfZaL6OgORPnRl9B0I4zKXdF/I7MPDjaOzESj0e4JQbzQy5Agd16VD+5HI9F5CEyciwBfjqiLQkIvPFKPP3eMziwuxpd9my9owDOeeHpuDRiks3YZOQFPIN+twH4GXQxz6RTUTuNH6PtKcHz0DfE+i7T6R9Wvsc6YjxvRh6f+6kKCNdk1hAoqXlt6qKyeB5CPlPcWVQ3mxjjfxRBTEzzPWSQ/2NdHgJpOPLDJUn0pR7E4xuKEO3vjiunxZhecWvk08kWsHf2VaCsvgOzk4Pw7v4q3D4/wcikHgvKI09O6dBO7ku+4z5UXRvZQqZFRilBm2+hJroHa+2eKKhuG/YB/7JjLp6UC/uX1R+e97eHYaGEqCJxe0bnn2bo/HuZrpYy28h5Uvq8aU81fMYGEbD7UUG9cK85s+BEf+zWznqsKnsd0z1nsXfcH+UteTg/ZSEC0ycY8Nb+5eIVYQnBNWFL8GjuGjS71RA4V2CJ91zMnng1a9t2+M2hN5nmrqEHeTjnnWp4jKz7aA1as2MLtha+QBKcKxpprGLvyFY2msyomu7FVrKZBVVoiu7kgqAdbkN+PO6PUuzHnrsTa+PhjLKvTfo2dtVswCs5/8D4kJl0ZDsHFmcv7nd4vvSouXNy80Pq2EVwSsxHWIM/GhJ8sabs31zkcnHrlIitKd7kDHRy0Tlsv/pG2S54ORLIKT8rrXTbOLNm4MTfrDPrPG1n8xWcAUUgcoJyZSQxPnAWOnhDzG7aZ1i5n/fpCChU81a0O3KIINbQ1nvkeb06zDSvZJtYNlLILv/5BamM2AcNKS3azx1XHQPeqq1uyqrFzqJGLEoPNSz1yyZFHJFJHbm/Y3/X4dS3dSGQ7Whim48cAnBZh46J9DX18zjW6fPpYqbnT4eherhnXBzCL7oIxdRL762vN/XZT3tsPZwEVzLER6axB8Q+31MPn3EBKMxif3ZzGyYuWMpaMmVSNz/C2jf1zhPPR86/n1fxGckLlsHRZbi3W/uXIc0B6sa/sp7bYO+2Q0A3+u2cUdSUaerRXtzfXGqxr6YWezfb2ATcDWSAZ/7u9yhfuxoNUc5IJ9AODjnjwph03DfmCvx69CW422c6kg7Voj/YHXsz3+Wi7pOZ4VocWJw8MSN0Ea4lya2slS2UuX9FYUs2zVN6PjZdTq7upge8d/N+TPGejf9JvRMXRt2Iwo5u9CkTYF3p8LGT1qhbG/Jo+PLFkT8/dsC2J/5rM3D0HeG/thvbhm0zcPwZULQriVIRx44Fz5GfcHf2wOzw80w6tLO3feRLn8vvxhgkyJORmTVm5maJg44EoSEqnCntLVwU0/zZzcVkmpdiUWo4vrkwkUzifqp0FVG8Q+DNmjdFWKxb0ef2UEL1PYq4LGMb2hrWq2fQ21v+3qcidzqcPpeJyUcuZNYT1txllDbTvMQHLnTZkiJbSWMXZVVPDwDXcar9KXDmDEj+s+SllzHQyejwUwydCS28CeAfdQCY9Hl5GwbZsuca7oLCle/CfsZkOLm7IadgCwocSnH+6JvRuO5DlPeXISYoHU5UcROwaXvtavU7oAXYXi4O38FYz0pcFZmONsso5Ay14vm1v0Z7ez1m+iegoKkSmYf2IOvBvyDnleXomjsRTTctQaejHVrf3YQ2H2ekBCcg0SsUyW6B6Fm3GRFz53NxNgE5bRlmMXCqp6toPMIjBlcn3YHRvpPxWu5jWFtOURq6nx3VfcHzkAOcs78fGrbtRFdNI3qyq9DZPnDcBVJ77ycZr5zqEdred7rNgC2FfrpdkbPkeHQjVU14LV299lPAxIee2EsYncYSRI9nxKEUerLvOOyu3oi99VswndGKE2uDn9dQalopaGf2eROzOVj7ZMQ7KdYP7+2tQHlDJzXGg9kmVkyv7nbcOCMOM5MCSUrrIXgXIsrfDVfRfMRKWNMWBKQ5VGN7kb7hF44Pwy5G4P6ezjRCOVomVe890dCiwTDQmaYfmT4XsEumtZXtY/GaMx5rgGRWmcitZcTu7nJqRisn2u/n+bwERqLoGS7r0doNG6gqtvBTkdr6eD1cmK62RpZKnzdSOtU73Q9VZblwrajHpG/+gCnrNmNAMtltIpyKmlC2aRM6rwpBUiBT94xyNWdN7Od/eUcRdenz4OP/AWYTMM+deSvsGHH3M0X9Lt/jTFb48xvuJdntVqQWt+KNnlW4MCUeHwRHILO3GP3VXJgMUS1vPNvY3NwR6REh0VV0VlRSWCUPo6+5Chb7DmzN2IOW1npKn1L7fOTC8CSTq3S7xckD0+mUFuuVgtVlr+CZrD9jcdSV3E8s7EnK66JRS1N2Fhqch7B++zvU1t+FhlBfdiLQu5zXv5/1fetwYup9NFvqdP62cebNgA3Az7xr+pU4I6Uwn9tSjBUZlYzAWUfkDW5PcQPuviSdYHh88FEqfW7EhXij8Emk+U+i5WTgKd8YTzYpWkzIyUutXZG+rriSzHGlvcUmD/d1NyIuz28pwZ2vHgCDcfxgcTLGRflS37yL1p+MvGkuIp1ziytbnQ7vSOppZY3t+Bd7vc8h8NewDayJeujfPTfxYzKpJzs2gU51SzcSuLgYiQFaHOwracZYSrMq+tbQwic+2MssMKL8LKyZWo/mZHv4778m8DL18BuuM/rd7jEx8E76ODv7uEfCUxCAu7uwB/7w7A6Lt9SwVS0aOz54CS5Tx8CRKmzvbPkb3PuckBY6CTUkeUVcfyU24HUsYivWIJXcKng9Hl+XhfrmHPiFbMbFEYsxLnURXGkwou/AsugFaOxsxhamne2rc/HKtv/D+P7J2EXL17e9HJHRWsFeb6aihY+ODtjEbjRPx0GjjjfYQ3MUqqQFzpgON18/fp894d/hjoPZKzF32k1G/OW453ecJ4dYjnEYoMKeczAuC78J24s/wAv7/oyoGi8E7u9Hia8zyhLDUT/ZB0FVjpgWmICZU5eQKzKIv+SvZH96DctMA6bOH8/e9WXh4+F8uJZ+nN3ZnvoKz4ANwL/CF++reui6Wco6c/WhakbhvCHyJs3kH8VKerHmUB1umGFhevnj4CMij9i4kR4J2Fa9BudQk9qZIhj/6ZCZyAtbSwjifbjv0jFUNJNgCqMsHpiy0Xr+YEUzTSiUynXA1rxa9us6GnnVSLLNryJ4e4wAb9XTa8ga/+eGQkxgBO/Cm/2Owhp8b9Goj8mkftKxc1PGRnTmqECzyLG+X+nz/ax/XzA+9EhtXOn/WLLb1Qo3JylIGHPaDLWWSb87bDH1u595Fkk//tEp6XfruzLA7IIrU+C6JpJObS9l+pwLwHb7RrgXU1/+hltQULYHeXZFuDLyetQtfwNBixdhMJ4thyWO7L0OYKmhiYutDALjLkQG5uPacd9ARGgqnBxdhueIZRBHZi7OLXFDOZXkSgJjYWmuwk6H/RjjuwzrmwneR9WR7Zja19HpoBgVs9+9ae8+pN3zK0i73JFf61Geachq3IuZg9dRY+3wfo5zRQTYIsixYG6Eb7pqatCak4PmvDw05GSjw7EXnlTx2xLmgO5FLojxDMTCsHEY6xuL3v0ZqHnrPfjNuAAOVKC7K/VC7G0sQUVXM7UUvDDRjwJEzqeeATjO4dmeOo1nwAbgp/HFOVMPTQCnCHdA6DgCp/W8bDUVdZ5oSLVqNpWqnsn5M8YHzEQILR9PxvI90Xasz4uktq+kAVvz66lZHm3A26qGZpjmTO8/ui6X/ddubPlKMlHNK7QU/d17mSZCXzY+wvRdW09Dhy4y3FObihDu58ZaqCee3VJMmdSY48qkWo/jRI+ai3puL9jUwIffpX00tHejnlG9JFqtLWOSWU0I8uACg/aYyr2fZkO94MHzqd+dX2DsMWNvvIGR8yfrd/cxk+DuZuHZsIbN69W4s4ra597IXPUmHMckwo4ObisPLsd4u1T0rNgGS0I8AufNxa7WrfB3icH6zHq8tbeQ3IQ1GEvNl0vn/hq+lgBmKGh4QtAc6O5Gw86dqHz3PTj6eOGOZVfi753bUMxWuJT6KlQVvoFetnoZq7MRX1hlBFy1jZ5e1K5eTV909oyTea+MgyP7ucemnYdtB3agraORveTSWx/+llgBW/se4sJBCmptefloIVg3c276qUDYnxKLUi5A8sdNRu1gF0ZzQXGtfyT728uwjd0YXX3Uxbcnsz8tHTVvv4eajP3wnjjeWLBODxxluBty8BOHwzbO3BmwAfiZe21P2zNTutyfNd0kum/tL2sxbVu6uanmrFpuH2ucSgtbb3gjT0RgHWQJo1rVVCpUrcCyONorsk3ms4xhIJQqWgFSwrwwKzHY9HEL+jpJdFp1sAqv7S7DGJqY/M+8UfCi+Eo1RVvUa51CedQmem8/xc9eMYXKYySwOTPKFEP9ha0lJoMwPyUYT28qxLnpIXQhO75M6smO27qg6WGGwEtCL4cBoJ8R2z4yqFO5TVd6YFuHgFxEusbObrQRVORXfvgj1rd86Y8O1O+OprXmoT/9CfVbtiJwzmw4MGI92ehxYgTOWrPOv5/z20j1NY8lFriTWxD/k+9i7e4n4dJlh5hGRppkfUddfjmbsV2QV1iMwpI4fFi9Hz6B67DIJ4WqatdRN54a6bz4/STUKdKtfPNt9Hd3InzZRfAbN57EOyd8vysc9+99Grmuvoilup5bcjc6GMmOXBbpexzq4o6+xkb6oe9Cys/vNKQ9nYu+p75eIfBrd0PGwfcxc9K17OlmhZrthN2VFWjNzee/HAPcA7xurgmMphOiUTprFDIHmlBPzYM0/3Cc5x+DZK9w1sXZhSBC5WAS0nzT6AvwCpnqf8aCsEtRt2ACnqnbitqd+1lWsmBB8Gi2jaWz3fI/z06d7LrYXvvyZ+Cj//u//GOxHcFZNANuTEV/Y8Eotl4V4GB5KzxdHTBjVACFUdqMnvgVJIT5k9jmcJwIQmzdqUEL8FT2H1HeUUSyT/JnIum0M9p/eE2eAYbb5sUb9rhu0G2shwuEJYt6bloILpkUxSjbwaTFn1hfgFj2eV/NVjEB6cqMajz4QQ4WjA7BLB6/jEzqSJS6gZagitQTKKU6l33fJ5JJPdklHyaw9dBhzPVIlK33K32+r6QR8ynXemyE5UJpzQgfC4pqO6nORgnR0wzBBcKugYGIve46FP3zSbhH0RqTHuIn8rPW9RjiIsXdzYPgxQxNIZXGqAuQt381hkZFoZFmIjlDBTh/aCa6M3OQwtS8g7cPKqi8tn4f+6i7qxAeuhdXxF+MlIRZJCm6MmLuQXt5OSrfegdtRUVM6y9CwKxZbDNzMVrirXT4atm4EUsO5eGNZVQ4GzMe0/uGsIkH020n4VTKsvJ76UJCRLolEHXr1rOdbazRJdd5mMia3w07LrwSHGNZftmG6Dov9BWUErALMOTiDPdRcVwUJMB9yRxk2rfjYHslGgZbke7ji6W+qUgi+LvRzcyRvduOIwloXCSGMut0OaVW99VvxdN5z6HQKRSdHizMUx2uhdrqy4s303q2G9fETOOi8vMjep7su2p77cuZARuAfznzfkbvVQQrSYQSZ3ijo74EbzqOxxCqFL1EkZ171wWj2Wc7yJsUTFtVq9TKtpXi/72XjetnxTAF7cXnj04DKnXp6xaAKUHzsKH8XYQlR8PNQSnWUx9q71pHD+4C9k3/eGkq/DwUrQyhkTrlD63ORQEFXG6aTaY5QdmFiw0xwR9fl48QptIF3p5uw4S1iydGsA/bB8tpWrKCpieDPPfvMdW+nn3fKgdcPCGCwiJ9pn6tWrg13X0qR6oIvK6tG8Fkl2u+NPRcMyP/qqbOYcGWY+ZV249jGr2Ixz+B1qefZn+nckyfx3tUD/dOSUEQ0+nFrIcnys+aqedj0wU61x61QBG4HQniQ/1DaNhdA6dRjnDakYuQ716PD8qfR3prOAY/3Iek278Jx6AQHKxsZtljH/rsCjA2uAbXTfkuQgLiGJ2zVl1djYr3VlAEZi8CZ89E9PWMjJkVEAmtdssWmrBQw7ypCQEko8372d1I8OjHA9lvwYcStklNrSggyPq5hrAjIga7GrMQOmBhJuFdpH3vewb8e1tayEavQFs2FwF5uXAupcTuglY0VxUjYMxY+Fx2MZrc7JHRVol9reVsSzxI0I5mL/lU04rm5ujEa3YMaI+YdM2JFnZOdi5I8Z2CD+oa0d1YekQJTq93kIS3sjoTS8PHwZ86CtbMzYjN2H49Q2bABuBnyIU8XU5D7PJNjFzf2FtOkOkyteNLCHIzE4OOsKWtxypQUprXlUYU1ptMAMH6a3PisD67Fo+tLcCSsaGYS0KWImDre/R5yUtOCJyDfUwd5jUdxGiy0qUxfSpDdeWyxg68wl7uhYyck1lH1qgk2/v/3slEW3c/frQ4yfh3i9kt8H6M9qDHgrc+o8hagDknORjPfljE6HAIr24vRxEV1/Tana/sMxFbYqgHbpoVd1TNWp8/2dCNuobHFGgAfPid0ms/QPJaPFP47iP6za3bUR1cbWUiCJ6OdXDrccp6NPTcc9FWUICKN99E9NVXH6ceThU6mnM49lMMhXMxwPR5HX3VayMJzux9zyxfQ+IZFzjbGxF1yZVwTEjEeurXL9+VQVBejZTATtw29R54Onujn+Bbu349atZvgE/aaKT+9Md0TvNBL7XDa6jiVr91G1yCAxG8YB68x41jTzlT9tQYTyBx7ZuJi/Ew2eTJgaEoaGSbXlc12iju0slFak5+PlJCA411aPlbb6GjoBiOzHx4JiXDj/7o/pdfgD0HHkB2MtUDI1yQ2bwH7Y09GOMThctjpyPOI/BIpC11OLmv8SvE7I56ugfN90lPiPhOJQKq8vWiurkaVbUVqGyuQe5gFQYNmc46s8OPXbQhbeztgB/bCYeXfke/bvvrzJgBG4CfGdfxtDgLRd47ixookJFHECQZjXcdPSpNrZr2tITA40aEI4FZv0sIZRGBNYqp6ue3FKOYrGql1P2oRmaNKBWFW6glPZNSmBvK30E8e2YlPflJg/dGwyr/y8pc+FODXB7dyg7ksl/7gRXZzBbY4Z6L01jTZhsW73wC738o8vY+OvK27kdpdJmIvL23kqIuCahv78dzmwvQQrBRNC4QFsd+HwVXmj7Ixn2XpSPIU/Vc6xZO/KhoqpYZgZTQj5ywDOmOAD4l1tdkNo79tFLmcUHuqPiwg0TBfi6QTm1Rc+x2voi/HT1YD7/uWuSwP7whfidbsGYcpR0uIOvq6YIT59GwzwtaMWDfCfsDGXC/Zjr2D27A7IIgBE+cBOcJk/HSLpp95GXDK2AVQv0HMSt6MVwHHAncG1HFqNs1LBQJt/8P3EJD0V5UhPJXX0crmd6+Eycg8Tt3wD0yiv3p5Bocdg/THDhSfyDVMwbXRk/Bo4VbQK0UppXcKVfaa4xu3rG0YPt4Suc21GPMlMn0574WDr5cMPD6lpEJvr+tDPlMiR8YasECJpIu53biPIINX0KpeEnLqOVQlqkC6K6+PtR3t3LhVofqBpZj2hr5dxtaqG3eRqrAIK+vR2snvHrpbDbE0oKPPZqPTlCZSyeyp48hzpk/bT/O0BmwAfgZemG/jNNSbVY14HZGsAa4eBPTo5Sv5O41nildd0bcpzKUNk8lsewHNPt4eXsJ/rwiC9fPjGOfswcXA8OgJMemtIBJ2F23Efvrt2FKyHwTmZ9s+2KWy1BErmD3sufcifvZWdCAR9dTW5rp8R+dlwx/OntpSBf9MQPerrhmRNrcun1FuLIDfebDQqOypgXGcqb/J/I812XV8dwNepu3672VdCvbTVW2RaNdDVnOup0TPerzisDnUDBG2QoBurID8ii/meUF62Jm5Oe1MPB0pS0l29rkjubF3xWVn5aDB+sWHGz8rEue/pexIbVERx+phxsv8J5ORuBiazPy5XWr881Dp7MLCto3YFStJ/wcg+G44Dw8tDEPFQ3ZiAzagQtHLcX7TW/Ar2wQOY//CfZcSEZcfik8IiLQtH8/Sp97nourAQSRQBd9w3Vw9vExtpxK7WuYGjZf12M/GeodZaXoKMpDryc3JCEAAq/1yqpHvcrTEW8GMKVNW89Spq/31mdgXxNNaxi9p3mG4pKIiVhb8jQW+F8Ld3dfVLPXvLG7BbXtjahtqkV9Vyvq+zvQxvr6ALdn4XfTndkrH/7hS4LmWFdPBPlG0jEtHIFhEXCyMKrm3HVS//zZki1oqs9lGWp4AaCFrWrnC4KS4D2id96cmO3HGTcDp3Y3PeNO23ZC/40Z0A1X9Vk9jhyKMJRSrmTdNoS1xCN18U8AFhGFgjxdcMvseKzLqcGjjOwvGBdOtjjTjodT6i4Ud5kffiHeKXoBqX4T4eXsZ9KOwk4dhSIcbUdgJxDNKG/CppxaXMvebW+ag3xAidPXmJYdz5TsrXPJNGdtW8cvz+7H1uYiyPv44K3t11AJ7YkNBSSvBZl2MdmETon1NzV97vhjQ/tvbOszKdKPvXicJxh4UoedPuBGhY1xPD9/kMcfQ6Ebb7KsBdbHG0r7xzKtX8DMRQLb2BTnna7D+FmPHo2O2bNR9C/Ww7/3HQOoSt+oLt3Rwv77TpqItHeifncJ5fv2on2+F5y6+hFRRPW0a6/AH9ZncbG0F2l+Fbhs4jfR2lKNweYWtKz6AFHzl8CdwN2wcxdKnn0eHvHUZr/sUvhwn/YkrWn/1rauQaan+8hM7ygtRTuJbG05XCwUl2AwyA8bpgXSFW34G3XsXMpytrSvGb/IfB0e7CuPcw/COE9ag3KB2dDRjN2tlajuC8ev9r7MbI8b3HnsHvRu9+C19WGGIIp2pZM9/RHsF4xAqr25BgXDxXM466K0uoaU1Bz0P45JswONPe14pWIX6nq4mIuZi3V1h1DR2UAHMlcsDBmNiyTe8jkqFR57zra/T48ZsAH46XEdzoijUJQYQ/Wy/Lp2kz62npRueyJy/fK1DKa5HUz/9GxGlROi/RkBs2eWAKs0tpWoZf2cHk1Kne1bJqXOvurnt5aikBHo5WSG+zFSFuEn2isRQW7h2FK5CYkec3CoopPtXl1Gv1ztV0lUMZNMqtrTRERT7/Q4emsv31Zs+r+XjgvDheMijAyqotw61bwZkQcSvK+dLq/ujxTWdEwC7waqsD3BXm9tayYXFMoSaEGwgH7cqj/rXks6wFFDiYOoALdTioi1j85u6n7xFy0qNA/W9jEd+7GkwJE7UsQ9iuS/QxVNVIELYbQ/8tXT73fVw8POW8J6eL5hhocuPY9s7TwjjNJTkIWJHS0ozvgX6ger0RrArIelGhO2eqPxnGvx1L5iWDy3YJ6FC7mkG9H03gbsbtyM4JQAhC+Yj6bde6mQtha+TG+nss1LDHgD2pyGQZYYDOmshCI+bCdrpQxqZ1kZ3AKD4JmYgAD2krvHx6KbJZ2yQ6/wO911wsmTmU1zTwe6u+gOx3p7PVX3LFR+82IGJYSga/FqQ5drJS4NugTe4ZFwnxACF29v853X957ffmKz/h/gF4f/P+h6H2+oNq4I/uniTfCwd8H3k8+jUIs7FoWNNiUTEUblOqbFw/G3cLyt2p77qs6ADcC/qlfuNDxupb0vIus6s6qVspW62Sn6FVHNAdfTr3o85Uc35TdgHyVTn6BsKZDPdLUb0sO9sTCN0Qd/V/QocLKKqVhPU2nz0eG++OFiN6Mt/uCqHFzHbcabCNMFCW5L8NjmHWis30+gG043kxpnkp2OvKn5W5wMYa6b6VhplqtOX1zfia/NisV0RtA6RqWsh8G7wLRuXTct+uPgzQNqI7C+sKUEXryxC/zXZ9cYrfRlkyPwAnuTi2rbKAjDOnRjJ2+qbCfinVSZgGC/Dp6DhWQ761kNPw4wVetwOH2rZ/S3Ii0p06mFzJ43dC2C2sknyKO16VVTWLfnPJ1oaM6jqc3+7v6KYWOT06yT6Njz1QQ5UkUs5pprcPDuu1G7cQN6amoxwHqw0thBvC4tVLLz4GN/4CDi9lpQmn4Z9pRVIyDwQ1zknYbQ0j4Uv/EQ3FIT0BrvBt/sFvbD70PorNmGlOYswRjuR73fHUVFjLDzDGB3lJfBhaBuYSub//y5iGCE7ujpQWKYHarqKqnTfwDFjOi7XPh9PvGUm+sbQMLd7XWBCAqNgXtsCFyn8x+Jcrr+tQ0FeDzrjwii2Ir6w+0IsidqnTvRde0b7Ece7U2fLtqIsWKuM8r2ZFucwF6X2I2e6bZxds2ADcDPruv9Xz1bRRJxZED/kvaa//deFqNtJzK5vYzIyQr6X0eybewyMtKvmByJXuqfH6I86QayzbcX1LNmXMvaNhAdSGIaW7cmx8qti3aiBDJF6dq2gCmIjOyvz0vA2sxqPEJy3PnjQuHDKPvx9U1M0YcdrjsL7jSGH3sH+kkO6jefl/3nH0lWE4j8mPXu1HAJrDC9zr9Lqurw3I4aBHi7w4A3I+qR9+w+Aopa3v69q8KIuNw8KxqHyhrxAev78fTjfp4s9HkUb7mZqmsD/OQ7ZOLLhUyLg/beTkTE7MTu+i7MdVtKf+th8Zm2tjaUMmWbnJxsQNz6d2x8AorLqxDAhYewWunzHJLlglmC8GXm4UQRms5acxVK0l0r26Ea2zpJCpSO+sgzYfTJiLGJr3szCnQcQdrS5/+bw3p+1vM9si8eTzftRnvb2tHfSre5EYYcSiJLsUyPPrVsoeLLhzzyEReTg3O7UmC3Ygt6GDWLnNaUlYm65H4sWPQ1xEVPwFBvnyGsVeUwJZ5N4ZSKMjgHB8GDsq5eC+YgMC4GNU01yK5V10QWqj/cgXqahLRSg8CZ3xkfllLcm2kOE+2JVlcupI6exiOHr18cnNtRyAVG2swrYbH4cs4VVeuowYVGLHx2OyMzZz1mTL7KZJ3MC6f4o5sCNbsaivBK6XbTHjaLNW4B9kkO5xS3bHvbV3kGHO7h+CqfgO3YT68ZEHhITU091t86ZxRFTIKpz+0BH5pNvEyCV2yQxfQ1qwVKUeqUeH8sTg8jUcufAOuAEpLCNufV4519FdjMaL2SdWY/3kyVGlQtXRlGRePajhYEz20pJoCSCMQbrSLukw1+nKnvXvOu+y4ba+rDivQHSL7Lyi/G+RT0SJs0FbcvGQ8vEtJGbk3g/cabb+H9nbko6XLGTTNjseK9d/HU6gNw8vBDcqg3vj43nmUBPxO1i0kfTxGXQxUtTMMT0JkVCHOPQVHPKpPelATsIPua165di+XLl2PBggXm0PX3Cy+8gFjab958zWWYMnMOpqbGcGECvLuvivvxNPvSYuZEQ2WASgLV3d+6BnFjpiA1LpJzOwwk+ox5nfKdy5YtwwwyvwMZgR4L8Cfa9n/yvOZw5Pk6sU3LDB5vJ/W/s//wJ/RQU/xkJAFxyJy4nYjWMiRXu8CZ7H4t8vq7uuDH6NblwlnI7s9GYrYryikxWvj662ivqsAAxW1aEyJQmxqJLB9gm0MzVvdX4t2OQrYiFqCunm13lXUIrG9DWhOwqM8XCy3RmB05BtPGzWSfuj9yOqqPcvoaORduZKtf7DcGBZRvrS4/hIRIMuNZ2z4yrzzHpspCenxnYkz8Av4/cmrRMk+XZLUerKw6gPcrD+Cm2JmY7B9P8D66rDPyWGy/nz0zYIvAz55r/YWcqWFKU8lsgBFUhK/liALZ1Dh/U4N+ckM+bpufaGrSqn0LtDVkf3n5ZHeqng1H57lMw68ncW1nYSOj9DqCth0iKRM6g6Ye8tJ2obym/vbmwkCiJbrRncpQJNvJ4nQTmb4SklHavJ7KaU9vpBZ1ayvOTQlkE24P2pi+VmTq5jYcKTdQLvP3D/w/eCbPxu9/NgUHi8rxhz89gFHTz8P3/udCjI4OxiBFR+zIPG4n4UrzMEAHrE6CTZCXM+ZzIbN8ay6unXsZNlS8RGlMT8S6j8bmzZsxZswYE333M8rU3+nptL/k3HR3tDP1P1zL7GDaPqOwGvPi49HR3sasxPCx6X2KpjuZGhYg9pD4pUcRs3o621FQ2YAWiou4UAhFz7uy3ixQEWg/+OCDiImJ+QhkRkygttlNBraOScOZcqcuJH3ps8fuz/qantf+9Rkdl/anzIbmUJ+znp/1fK27G+Qc1a5aQ4nRypOCt/X99pxbd/ZSo6sJ9qlJhpg2wGi5ImMvF0yr0BvphO3s1W6OdkEt5UlbvFzQ7d0GS0cTvEik9GvvQ2yvA2YxrR7lEA5vMrvdxgTDNSCA10GWnMz48Pj5Y/iRx35eXxiyO2sYBRcOkyQPf+NEEHRlvTmqxwlrapiB8VyI/MZVeGndb3D5nJ/ByzOA72D2iIA7NnUJdh36I7pJQBupjW49r2Mf9d1sYebmZUbdZSSo3ZF4DqI8yBvh/mzDNgOaAds3wfY9+FxnQAApQI0keI+MEqVmJrKXasKST719fgIjc88j71E8aVVck8zqeLp4jWHNXMQtqbOtz6qhh3MTnmeN+ZnNRSZtHuLrigxqqYvo9WmGVNhWHKikgIsnW9wGmH7Po3S2k2kt2rp5E+6/9x5UVVVh/PjxuPfee+HL6Ouuu+9H1sEMeFfX4ecUyKiuZo9uWT4sdm9h41t+CCSz+dvf/jYuueQSvPjii+hiRDhl+izURy6AN1u5At0dsP+tp9G52xe3/mgZVlLLep7/ALZt34qrKWIisFN6eceOHbjqKqZYCdDEDdbA3VjHHsD767diy3N/wLa/1zBFPoQ0tiz94he/QGJiojnW2267DUuXLsVzzz2HxYsX48orrzSAuXrlSqx59kF0cTGgKP8nP/mJAe9GLkh++9vf4o9//KPZxpFIkRMpIM7KysKfqFe+Z88etj65m23ecccd8Pf3RyWBduT+lixZYrabT1GThx56CLt370ZUVBQWLlyIAwcO4C9/+YvZRi9Z3jo/6/lar5nIZHVbNps0ufW5U3nscBzCfjt6Y3cQ6Hxc0DzND80evvCj7OkgWxf9u4Fxfe6IGAhFlHcCPFII1P4BnFuWJbgDpbgF1AasOdnWdPfx9m1h69qswCSUtNcbDkMzpUrFa4jzDMEFYWORTtb5zsxteKPhECLsx6KsYx+Wr/8NriSIq+Ztz4VqIHXNvbsdcfDgKkybTOEZtnudaGgBXN3ZgmeLNpnF3XcSz0UANdxPN2ncEx2/7fkvZgZsAP7FzPNZsxeleosb2k0b00gA1wRImUz63d2MgB+npriETyLZEnW8m5IhszFNzEYf0zt+GVnnF09gdE4SWgFZ6GsP1VI0hjVT6bV+yqFFhkxUyhmNvbKjjOl9F8weFYG/kSSk9PWPfvQjEzn+9a9/xV8JSNfe/gPU+o+Dm9f7CEqdjuhxcxAz0IOBqixcevFFOP/88wzobd++3YCpgFzR6oN/fQj9QQ1wuWWmkYlNjg1DVdsA4r3HYsiBFqYbH6OoTAsiqQeuoVq4wFPgV8NUssoRAZ7OaGdm4P5f3YnYxFT88J6foqKiHA8//LD594c//MEsFnbSTUuR9kUXXYSkpCQDSv3sDc7dthJ3/uT77At3wZNPPmmev5tEMaWzBa4dHR0fmz3Vxn/84x+bLMKdd96JGqa3n3nmGRPl33PPPR/bn+rZ2vddd91lIvz//d//xa5du6BjC2VdWlG4zst6ftHs9TagqT0rU8HFTndVjckafOxgTvCEFnx2XIg1h/vDn73SaQ5+CPIIwRrLOtyQ/H2EelKUhQCtaFpAbUoIBOuTgfQJdmVi7RYKyqyuzsDX4+fSXjTK9F1Lp1ypbKfDUfvcsXPp2R2Dp/a+h/a+BPaQl+C5jffjutl3EcTDWPd2QpxzErJqd2Ly4KWMno4P4H3M4uSROPdM0YdI8Q7FxeGT2B45Ih1/ogO1PX/WzYANwM+6S/7fPWGBo9jd85ODeJPWbfboIenUJWNCIcnVx9YX4g6CeCiJWQKrEw29dCQ6JyFsTKQfSWNelJUcYL28zhC8TvTZEz3fwlr4P9bRmIRtb9dPj0ZTXRVcCbrf+ta3TBQt0NmfkYEdezOpnX2INpHh8PD2wOQxKXAPCMM35sUi++1HEBsba/5VU2NbUfNll12GK664wqSMSyqq8fdHHyWbms5gjAzvvevH+PWbGahqGUKK/0TYl74Gv2R3dA61wq3XFdu2UYxmyhRG4870Se83pWAL56u1oxOBKdNx149vwxgaeIzuSEUGjy0zM9OAo85R+7755ptNdKvFQxnboWRpmT57KaafswxpnDMLNb/vu+8+s0AxKX6eo4Z+tw5rmvvgwYMmkzBp0iQoctZ8/P3vfzdZBr135P70+7p16xhZHsSblEVNTU3F3LlzkZ2djXKahmj7WjBYz08pd+vQnnsJ4ENsj/q0g95juDFxHizsm3by80WDC+eRwibBroGg/YsB7iF+eawRNp/4tLsw7+8lgWxdzSEEuHhhvF8MLOz19mR9WxdoZObCmddtVFg8fub7Nbz44avY2euMHoL4U5vuww3T74S/TzjGM43+VPYD/O62H10jP3xkIqvJz/uVsu1YFJKGuUHJFGY5mo/xmU7C9qEzcgY+YrackadnO6kvegaU8i5r6DD94Me2S1mPRWpsF9JHW73KisTVuqV636kORedipisaP+Xi97Eb573czcmOdfdwAjeJbExZqpVL0aQT06W9JJ31EQjy2KokIZVfLksnOc2Zi5Mu3LowCaEsEWjRcSQFy+0LyKZPn27Sxao1jx0/CYO0qawhuAvEfDwtmJcabvS6+3rsUHOwCVOnT8abRU+TXFeHLTTTEKnMgdupbSWomf+A5kFar05fjIKsA3jwz3/G92ic8brIWWxbsoKv9diV7lY6XkPbmTB1GspbB+Ci4xk71kTcKg8oIj7eEFAXFhYigPVgAbEWA9rm7NmzTU28gkYd+uzI/WkO8ti3HUHBFC1oBNBaLMycOdPMifajhcGR82Pk2seadTfr+m2dPSgsrSM57HhH8wnPsRbctnUnype/jJzf/x6b//lbuB6sQf6f/4L8R/+BkhdfQvUHH6CBmRH1eXcxq9HPORsgX0Ckt8HuHvIWemnxOdyuZgRdjvke6ntZxSzJpvocLAufcKRVS0uBkeBtPVLNhY+7J26cezWuC5+BZs9EFHFx9sS236KWwOznFwkPptGzMlahj98Ntclp6PQ7yL1YVXWQ4M0ySuQ02oKm0hLUBt5mgmw/jjsDtgj8uNNie/KzzIBudtIOV6rcRyzuk0Q8FoqzqJ3suS2FeJwKZt+YH296wk/0EW1b0b1wR2Db2N5tovjPcpz6zCC3UdZehr9vLkWUnxc86BymxccQo9atBTV4bXspdtCyU2zyO9kW19LVQ13ufhLo/E3LmKLqY4fO19dX7UOqjpKNzxs5/zDgpfeK8T6bPIBf/zsDJRFOyD6Ui7tZb9/ZtRKvZP4Tu/fvxP333w97LiQk48rTNcS/DXtzseHJe7GPpi9Tp07BokWLEBQUhEOHDh05BO3T0/PodjF1AyRGBhtnNenUqy4vwLeC/pEPH/OLyGsinpnIla9p21by28jnrPvT9vQZ/T3y9SNzwddbWQbYv/8A7vrlr1BeWY99PKfsilYUDVC2luS/BSRnBXV3kQR4ikjOY3LgwsKTHAD/KZMAbwtyK5/DGMdIhHfHYYBiKj2s87eXlaN5XwYdxhrQQ3W2IbYUulA61Zm1fCdfH2ZW/I3ymzMjeCc6oskVTcIySrUreu9mQ+Cb5bsw2SsKEW7s6dbx8fmTDc2XxdUdc9JnIaouBk/sfgN5qMejux/AjSm3IrYjFKWH1iCk1AGe4RHwIp+hi9+zf1fuRn57DW6Ln494zyCS1U5zBZ6TTYLttS9kBmwA/oVM89mxE7V5lTB9HsW09LH172NnQLdAgbg0xv9FLfEnKexyK9uwfC1iSQtghwFboK1/Aux8SoPm0/4zv6adntvdlIqkDOap3vBHHgDvwc7O9kgL90RTVxt2kRxXTbBuJXv+tyu2wzuqhM5XrDmin+x4O/P8E0z386jY+sb0L8FfCwDdqBWNWo9BUaZq0Sm0yhQM5bD32IU+1opMBWxKI3twv+OjvPHS+x8iKiaWNpehWGJ3Ne7/8GdkQ7sz1U6/an5WzHhtt4cR4gdkaPe0NuLZ995GZGSkAeJ9+/Z9LIrW8YwchoneWIE8gmQnAVY1ekXHISEhhi0+8r06Ng0dp/ahFLxq1orClUJX+lvRuOrXIttpWPenaDwuLs4Q6ESOE/h3MO2vFH8vt1tT34y3X3+XlpcWPPDybvRafBA+2I54is1Miw9HQZsdsuoocNJYA2dqiZ/KcOA+Ii5Yip76OmQ98Gc4xQSjeHIJZicv5iIqgYsgkgB5LpxEM08CXl2rAc5DL4+xt0GA3oz+xiajANe3q5nPN6G3uYnn5UCA94UDQb0wwgv5oUM4ZygWnS0H0U+Ad/Ji77zbYZDnwZpFi+ae+zNzwt+1b5VC4kNicNeCW/Hy5texcaAML6/4KyZvbIddYxtK7J4xqnCO0ZHYcdF49IQH4o5RixDs5m3q96cyD7b3nN0zYAPws/v6f65nLzZ4MTXPY+gi9kkArh0LbiR1egN7qqXM9i8KodzI350ZwUs3XWz2PAJ2AQG7h+nymECL8QeflhDAFjV39n5342evHjAyrZ/2RPqYs914kAQ5Fx/ql/vBq7MC69hfnhJCFS6LH6p66VHu1M0+9A785KW9PNhe9NJs4vV1a+FGMlpaTBIBydHUectY55WUpoDu1VdfNW1hfQTz5c88ifgJM+BE4BNAvkW7SScC6Iy0yXj6kc1YOnkqSwFOcKSrlEOxN0Ip/7m1diVmhl9gInBZh8ri1NHdg1F8nyGKKbWtRcJKssslwmJdPBzv/PuYJXjvjdfgPesmrNm4Fa//+9+Gqa5IWe1e1qFje/fddw24i8E+Z84cE+GLKCfmeQPB7rXXXsOsWbPgQcU0K4BbP6/SwWwqngm47/r5z3HD9Tdgzcq1eOb559i074n/fXkPytaTkJWcYnrik9KT0MXU8QYavrxAgZ8guy5UO/mgmVrg/vWVcCCJ62RDGuZB8+ch/OJlxr1MlqBZB9ZgqD0LFb/5G/rSJsB/+jR4j0qk3rkzHcaYDSKgKp6V97cLQRjx8cOkOX5nlerQgkxgT5RHH4l9PXQXa2isw6aOTMxqYVteOWVem3bRe7sRA9yfvbMrnAXmBHkXH18CPn9n9sWFj858FMg7UMhIoO5J8tq1U5cheecGtK7ZBXta2eq7PwRyC/idGcjNR/KbPZhx/+9ZpqGxyjELsZPNhe21s3sGbAB+dl//z+3sFTGrPauwthUXs5f7ZDchgQ7vmSayFvApapme4I8Xt5bipy/v5Wv2BHZHxBGwR1Eq9dz0UIST6Gb00ln/Fmtd25C0aAhVydqos66o9VSHCHGqo2tBUN7QyT7zenQ28aZM+0UP1r0rO91x13kJ2OxYir8zilS/+bwxAXAqnIYt76zAQ6zxJ15wKzopqPHM8hexkansRddcij4SsezoAHXFNdfxeIYQmzIei668hVGWswH3d955x6SZ75o8Bf0NJXAlUEtSs7+3BwXZxbj1e9/AoZYPSdjzIlu9jalcR+TUNWDh/OnwrNuDW265xYCkmN1f+xqJUmxW5xbKAABAAElEQVRXE4tcEaCXF1uMGAlbh55TCjsxIRavPfZzbOjrwrzZM/HDH/7wSHpcCwB9RgD+3nvvmVq3Wr8Uof/ud78z6XyR8nR9pk6dav5WPVzb1iJgiBexm6UHLdwaKbhz4YU34OXXluP2b38XbjTniB2Vzl70Jvz8ghT8clsHbr/tDsSkJGBdbj0201AmnC5e0Y1FyB7yQop9O4Jv/QYaXngWflVFrB0wEud2jxo8DgdXN4LzVMTefBMFdOixzeccmdVoT/REYsdspI49F+27DqCU12WwpxsBU6bCl2UHS3i48feWVaiJzLlhq/uY9jGSDORAkLcnMB8o70BgRyTOi1/AdsHD2R6es9Lwvbw+vWTr9ymaZ+Tex987qKluovsmRvZtrVwseBhQd+W2HHh9vKsqqTLH3rZjBxczbqWUji0qgZ23L8kLH13HY99q+9s2AyNngJmlY/8vGfmy7XfbDHzyDAi4q3kD30tVrJd3luK+S9JoWPJRj7duw8OpcKWeZdJB3WoCZx49uAsYZRfXt7Ov2wUhlEktJjhGMbV6E61DFZ07kAknwLYy2vV17aYM64GyJjy3tdhsr5CpdRmVmLDmEw5XsqZXTInGbvqWlzJb0M/tLWBrWyuFXbbnVMKRAKye3ZmsdSeGuOONncX42cXjDFtdUXAHpT6VnnV2J/gz5bu/OBdFjTTboGDK83f+HNO+fjfrqN6wuFFQxTUAIf4+WDo+BKODIwlKfeZ8nEmSe2fDDmyvc8OvqQjnSaBW33XCqARUdhXg2UOPILcwDmFBh9Dp0AR3J2+ke4/HZO/5cLejhaYiPxLVFPEbIOU5iNAm4pgVxJUuNpEyz+XdnfkorGnGt84bDx+v4Tq1Xrd+RoAsIRgB9UjRFT1XT3lTbVeRt1LoA6yl9xJwysuqUJhXgUMlDSRpOaKRfeYoOYiFU8dh+qQUePt74W9/+xuKigrx8CP/QEZOASoGvLGtqIWpcxeM9bbHhrfWopSkrul+9pgwdxKe21mOq1L8EJy1AzUknwkcFRHr+yOymfy6wy88H8HkADiNqPf3sqXv5dxHkOCThkmBc4x9qIhp7YVFqGPqv3nvfkbLPgiYRjCfONHUwO05fyN9v/W10XeLJqLmsZpe3n/KWYFvELyT1MdtNxLizZuPRPDmFsrPqmShRYcejVFKaxvPocGAek8dI/rNm9GUSd6C3nfMUFYh6fvfRfCCBUd5oh/zNtufthk4agZsAH7UdNj++LQzIPBedbAKz2wpYuvTgGGGy8ryB0uSEO3nYW6GrWQbF9UJsFtNDbuC2tKhdPpKCPFGAqNgeXx7UXdcPbv1rG0/Ssew5FAvXDIx0pDIrMekaL2J7V9v7SnDjqJGBJIdfqiylb3k7lwIMM3OtLcyAR8beoo5Sy0EUsIYdfJe7MwfEoqREUlnj/qU2epEYFqUFmoWByVcYLCSafZ/7fRoWpgGkZzHuiY/Zy0PKO3azz50HVcJo69zzzkHz7/4MlxDA6itXcMUMY+JbGsHe5pw9HuwNNBFMOwyymzBHhbsKXSmq1oMU/gBBAim7BUND/Xg1dynsKN6DcNCZRakqs792tNVzXccbkxSTze1QE9xaOGUQwOUf24swL2Xjj1qPj9pEwJ5scVla6pIOysjHweyy5DXxv5rKskF9LYi0c8ZY1IiGd0O4Mbrr8PNjIznz5uH3Nwc/P4Pf8RNt34TIePOITGwHik0o5kVZUEBTWe2FdajmxK01y8eB/9gfzy+qRhyqFs0OhROQ9wnCXfthYWscdebunXZS68g7dd3w5098g4j2tB0Dp397Xhw789xc8oPEWKJOgK2Vl9vpcRbmUlp2MFe+axseCWOgh+jcm+Sx5wUbTMql3lJE73Hs1or0E6f7ayWSngzI3Nt7PQjzPNPmq9jX7cCukB9gCWLyhXvo/CfTxqb1GPfK0Je2j2/gh/Fg0ZmBo59n+1v2wyMnAFbCn3kbNh+/1QzoMijhu1Oz28vpm81U54q7HGUMLL96wc5SIvwQQkj6oaOHoK5O7XBvY1bmVLXaiUTEBqvbn7OkH/4Wemj3z4vAQ+vJgGMtfALxobBle9V33gW5VWXb6ELGNPrel8WwXsKJVpzq9qQEMDaNbeTzeecGFFK4EWgzF/ZysS/udAQmMmK9GIaqlxK1zTpsS9MDaLEaSnWZtMClABfxGzABWPD8druMgKtG8+l3dTmn91SjNQwL8OclwSrM+vlTtyu0vGaB29GqNOYZg4m+Sk2MhopoZFsG8rjZ7xZHghkpD9AM5Jy5NZVo5Tp+n1lzSTmWfC31Tnw8dgDf+9BGpU4sifeAQc6trG+bq1Ri9HOqHewh+IeB5DJOuzkkHk81lP7X1dzHObrxnJDv3FR07zzNI87lBKX6pvmSRmNsuIK7Nmfh9zabpSRgOY52A0afWFpWgjSJ1LC1N3NzJnmV+1nv//db/D+++/ju2+8CR//IExccjWyXVLhzH1/e+EoeA50YuUjz2KHezT8+PqPb1zAi+Ng+vH1XVmYSvcuZki41DJ1a1+2vZmomGDevD8DXWzH84iJOerYtYiq76jiwsoZPi5aCPGCHx4CQv1zIeAHTJtGrfSJ6KHgTBPV5epWM/p/YTkBcwJ8pk1BHRcXDxWuRWV3k1kEajF1O6NvJxLaPuuwpur1eWVGAliXL2effHdl1VHlAR2jZ3wcPGmwYgPvzzrbZ+fnTu0ucHbOje2sP2EGFJnlV7dTaIQM5hGgoJalUlppzkkKwSxadcoD24VRzjBgM57ke62AfewuVDs3ID4/AX9fm8/P2UM66qsO1WAHzU1mJQfgQEkTgbYD5/CGL4ANp0+40ugTY/xRS9LXbWxJe55AX8ZjiGJ0bk8LqTouIlQrV+v4rsIGnD8mjFG/bDppG8n0/wK6iJXz/dXNPXiMbW3Bni5G4EV2npX0Fn+Fft+Z9Nc+WN4MDwL/fL5/Cbfh6epkQDw4OBhPPfXUkfqygJBBK3uCXVlXdzY1d5/YBEyKjlVAZkBSErH3vHEA42Ld0TVYz/20IqehnMSo1qOLsocnqZ8iH0Wt2ZgQNJuAcOr/62ruw/0snKNOI83qeBjBDThyQgTYIsw1NjRj764cHCpvRFG/i5mbGMdujI/2xi0TkynBSh9yrohMWYOgM/IaKg2/8NzFGDN1FlYfqMCWwiakR/nhvHGRCKGLV+72Pfjw7VXYRpOPCQlBuP68Cab+r+4DX7YcalHlxnkdOQwA6wmmlz3jYtGRT5tX8gdGrl0GuTAqac9DpIU2oCQVnmgoXa6+eHe2iLkyBR/MLIEWBOoRz3v2Gbw6wRfFwc4YOIz/vVTle71sN6aS5+BNv+3/dGiuXNn6l/itbyLv0cfQW1dnpHsV/bvTuCaez6ssYBu2Gfg0M3Dib/yn2YrtvWflDAiz3VwcjtSnj0wCX3DljWlaPOuZPrxhMsoaebM/8r4T/CKgl9PYTfTq/vPKbLy9t4K92hZcOyMKr+8oRwWj/osnRqGZ6fZigq7S6t1UZVt9qAq+TMV/cKAangIDAmUd+6n9SHT72dIU/P7tLMNmb2c/94tbS3DltCg8R+Z7FN3SrqdjWCetJx/8gLaTBFZ7Lhz+8G4WU+ohWMAo/adLU7mPfmzIqcP7tAh9i25pb8si1deFBixRGBtJBjKZySPD207ux0KRGIEMA1oejur0qn+amBq9Q40YHdXL9rhOpCWVwt6TWYDOUrSwxn+ioXT6px2az1G0ec2vaTUtbOJ4i3jWRSGTDPZjZ+RXoYCKqq2UJA0daEeSvyvOT49DTEIUSw3MkpiygT1r/x/ftxYBym60sEyyLrMGm+gkl0gm/88uGsu5cUd/SzPWPvQco3iWUJiOvnHxWExJDDE91q+RLyFv9W8uTDQLoRFrwKNOUUBuSYhH1bvvsb6so/9oKAIvac019W/7U4mWCaSqf+ufonkLW/z8lp6Hun3PE1A/kpXlVwd13YzWezqM6trJSJkfHc3Jf9M+/SZPxljut2X/frastcAtOAjezDQ4yzdc6SLbsM3Ap5gBG4B/ismyvfXoGRAwJPNmHcP0dS7r24q8FYkLsP08nPDAiizaiQZhLqNVbxLS5Lt9KkCu1HcnwTKLtdteps4FxHGsqz/zYTGNTfpNZKxa9Ks7qwne/SZVrv32EPhq2VrWxc8qmhPxLZW93jUtPeYYR7Ondxdr57W0Ht1b2ogqMoK9+L5rphKoCNhb85qZOh4gWCdjJRcBZUz57ipuxIe5tVhGHfZpJLYtZUpfkXcp9d7foC/4fnqaP8hygTPr45Ni/HAZGfgBXDD0MFpW7Z8/UdRC//DeGtR31qChpwaNXbVo6WnkPFng5B6KyrwxmDQYgbiAMUjvc8FrBY+zZa2WGYt+zhfPXx6aHI6sg8d6pzJtfeppXdWxB9jSFu7jjNX0UN+zt5P16QrkNHah1tEbXpT0TPSyx2Xjw8jgHgW3w9kCpZCPB9jWb8BI4F5/qBab6Bw3iryFb58zCtHUt0cfa76ZOdj3yOPYTiOR7qQp+OkVU8j89zTEw5XkTRyk1ep3FyVRwEeiP9YtH+eRwGaJjTWiLP2sJasH3Dr6h/pQ2l6IBZEXM7Nz6vOizwsw7ZheZ6WG18yXi71hFznrtl0dXNi3Lw1y6zP/+aOJuMnyd6UbnMhs5hi42LUN2wx8lhmwfXM+y6zZPnNkBrxoBPKDxYlkhJcgg+llNwLhvBQ6NI0LM3KgqyhteS+Vx2YTyOelMNogQKh+fKKboqK50sZ2U5cWSPxs6WjTB/4vkuR05//2uYmGrf7AihyCd58BA4G3GXzkW2jhOYjJcV7USaeRCG007Ya60d7VZzy8M6n+Ncj6eCvT6Z20dfzBeYmmHp9JMHk3owq3sf6eRJcykd22Mpp8bVc5pVTJGj9Qjo1sfVrGVG9qGK1AA93wrUUxjCB7sLWwDu/sLSchrpxgX0Np1m4EBVahqMkXz+c8y2yCF/W5Q+DnFoTRfpPg6xJIZ6kgzoMr2roYvVYUYsX2VkaxNEgZ7GP9/mIStboo6pIH76AMyqA2M+5mj7rfRKRTQ93hJKlizVk/FyHEBtPWVlvVQNDOJTGvEZndLqgqsUOC6wBm0ZJ13IRkOq15Hk6Ls7WO1+WTxrHAvZEZiVGhHrjjnETTecB1DPrI1N/wzMto2rkbm+JnIoKWn7csSTOkQ63xdpLAtpYlkW8ukA4+Wf8n+jIcPhgt+tQy5kb1tM7ycjiLgc4Fhql/d1axjP7x+vcnncfI12XPeVH4OFR0UrmNBDYNV7b+nRdK+VxeI5EZP9fB8xGQ24ZtBv7TGbB9i/7TGTzLP6+bbzQj8J8sSTZpYt2LFR2L4OXH2mYcIy6Ju6zMqCaQUxSDUqLz6LntR+B3YuhjvTWKPa6U8waC5Af7Kw8DfrCpbb9O1rmSixaS10S0enZzMSJY965g7fp4rHOBzBDr3nqtiwzzKB5fWVMHJkT7G9Z7BsFa+x0b6o3X2bpkoeDGs7QovWxiOIVi6I7Gnbk529H+1JdMeRdG+qX8fCdr8054ZF0mAr17kRBbw5C4kn7NtWhkNB2f6g2XIbqI1cSjrMYLxWXRbPNilFd/DabFRiIx1AeurFtrQSGilUChgWprz35Ygt3FVAFjzZzZYH5AP1ww2OVMN6sJ6GpNRGgEhWQGXXDuhJsJLIxujxkDXJAItNUSJy/yfbuykVlSh6JOO3QwLR4x2IY4RsWdnQ64cmE6RodTSpTXR8Qqa3veMZv82J8jgXtDVq3xaB/F7MsdjLiVgRFXYYCtW7V5xdj14COoYmZk59ilWDRrNM4fF0EeAL3Bee0OMWPxKmVqb5wVw6zKR62GH9vhMU+YNHp8HNoLCuFNt7VhAGf9uy0fUZZYLkKG9d+P+dgp/enI6zE9MJEmJW7YUp9HwmA/xvtEY0bgKJYQbLfIU5pE25u+lBmwtZF9KdN+du1UN26xwkU4W3mwGnlkk08bFWisRf2NdOoQyWNdeIlEsTamyK+cFm3qp+orf3JjHsHbHncsSqSkaR+e3FSIUPaLp5ARruj4eHaiWkCodr2GKeM41rcnxfqZyFzp7Q8YZctP3MLavbzJ1a5W19aFmaN8cfHkCMJqD5p7G1DfzXR3l9Ld1ahsr0VJNdBQPYFRajc8LPZoavLB6EhHLEoPQpxvCLfnzs+Kke5gGN+K/nWsTgQHVbw9XR0MG/2iCeEkthGcGYo+sSEPa6hGJob9iccQ0/MDFGppx/R4b3xj1hzDjDbta0T8Htb+czLZ3pVVhtzmftQ7ecCvvw3J3k6mvStpdAJr8xSLofLcC/RSDyYjfemYcLPAOvE+P3pFwN3HY21in/zG7Fr+q2HbnycWU1zHADdDbi2Guhl173l7DZrfeh0HfGJQkjYb1y4aw0xIABdDDga8df0fYnfBhQT0maMCTJfBR3s6+W/q665ZuxbNdDxLpDqc9Mp7Brrxat5jiPNKwZTQ+afMzD/RnqSx388auwoWsgoVsNuGbQZO5xmwLS9P56tzhhybauVuvCEmhniZ+mgZpSRXEVzvfzMTEwmuIpmtOliBGWQn30KrUWdGhurPfontaW4uTqZOGksgXp9Vw57cYdZ4B4HLieBxPADn7kh6k0Up0MUbf4SfCz9bz7azFnxwsJRtaDRDYYQoglZubQPBpR+ZrXtRdSCfoNDGurgPAl1CSIgLRoxXIlnfs+CbEsrUuwfeJaFue1E9FrFMoJrpM+s6cO7oHvYwexq3Mim8ifWtlrMoP1fcOifB9EBvyq4jk76K513DerSrqRev/UTw1heArmh9jozGmdLP7sOlaR3oqG+hMUg+stgBUAq25A31ItZlAAtZohg/KZmiK1StYypEZiYOh9Pi/Y6DiCPwqu4sAtsnxasjgXsDgXsDr4dU8bSQUo3bhXOv7Es/+8SbK6qw7a//QF9xMbYmzsJAYhq+vziNOuBeJhujbcld7YkNhQTuQC5kPh14m1ngd0J18EoR2VjT1+hnuaG0NQ/zIi4yizzz5H/ww/iHK/1iG7YZ+IrMgA3AvyIX6kw4TN3wFY0lMHUaRmnUjMNqas2M7tIj1S8dwPS1Pf69pxyrSXJyZ2r7h0zNK9LLYdS+6mAlvnlOEsG9GjsKGzGP6fiVXAhI11zBkvEAYwqatC28safUMM67hmrRaU+Bjmp7FKypRnBYFpzpDNWYS6Cx66eMqRsmj+pBSU0KLkqeh3HhXEA4kU3OFLyORaluO25c/2lcNz0ek+IC2VZWyuftsDgtnES3Btbba41F6vhopqcJNoqqfVxdmIL3IpHOB1dNicTekha8n1HJXvQOY8xyvMXH8a6zIsLWjiH4kRX9iyc3Uk/dDVE8p9HhXrhxfCKCKBzjxH0KewTYxyMKKlUuIuBbrNUbsuEJEHwYuCmYQ46AgHuTibi98J3DwG1S79yW3tfNdH3uhztQ+a8nWUqww44ZVyA8MZZWmgmsd7NHXO/jsev6PrWpyEjXygte34FPO0T2cg8Low0oXehoQmLHHnRlSBzoHudH+VtdI9uwzcDZNgM2AD/brvgXeL68xzO6ZU2XQMdg1wCLufEzdS0W+Ou7Sk371YxR/mQx1zEiP2jY4y1sC5PIyk9p4xnNdrI6Rm/PbSnG+WSAB3g6kdTWxrS4F3YW15pa9SCVuwK8wB7fPkSFNqDPqQSH8uO4Q38MOOUgu9GZaeBUpEc444qpi+Dh6I9fVOQzKmTkyhp9abUb5iYFY9W+dqQGu7EFbdgR7XhTJaGRNAJy9PkWs8h4/0AlpsQHkkntxEVDGTaRsX7+2FDaj4oJL1C1M/VmPw/uI9kVMmIp5PH/kv3fTCKc8lC/uhNBy5nGH3dfP5esaQGkiGdcWvDxk4YWT8EsPajC3tDexfn1OIo8NhK4lSZXujyefu3fIjlNCygrcGs/Em3poDToh489CxbcUewZhgPTlmD2xARcSJKfeuOtiwjp1S9n6l4dCLKPtTCj8lmH6t6esTFoz8+HU5A/6995iPKI/49T55/1eGyfs83Alz0DNgD/sq/AGbr/Pta8ayiAovYyRUdJodTwJqmthZHdmwQ6RdRX00o0PYLOTby5S/e8iPKlRQS3QUbRE0J8mAYeQnNHN2vWBYjwH0CAfwOW786Di6WF/s+57Jt2QVddFHwD6jAptQEhntQet4TA2yURs4K98ZcVVWiqHYesPncyyZ24WAhDjDdtJ2l5KqUUgZ+fxQn5dT1Mxw4x4nfAm7vL6ZgVe9IoUaCsOvaF4yMwNtrPiLxkV/XjIv5d1dSFx9fns/2IfcbUOJeimZv6lDiGzVjole7pTEMM89Qp/9AcegYGUdWuBiuyM3HJ2HE8XtbSybi3o1Sr1GEMOY4LJQ3itQFR/Wn+8YdS6tHszZb+fLgvJUQ571bgbia/YANLFFqAxHNRczzgVjjdS8/u0n1ZyHvsH7TibEFG+hyUhY/G1fOSjVe6G5XerEOtgO/uKzf8hjuYOdGc6Vg+6xCAeyQkGCKb15QJKCWAq/7twPKMbdhm4GycgY/+bzsbz952zv+VGVArmHqOn9lajHYCtu7a3u6SLQ1l2rzRsI9/dD71qOl9zXiONo09eHRtnrEHDfLrx9zRdmxJK8Uv3qhiirQbHf0diIhdh/rcMBSXTsK88T3IqaScZ2AoNtbawdcuGMviEglKZJCbVKo9vZY7CFg1FBlxRHVLP0HJ1ZiXVDd3k/ldTPANxwqy3aWlPicpiGn5OtMO98KWEqbn60w9Xkz6kw1JvcYzLf3dc5PYYlaHV3eUUn3MB7cxhfwiU+wH2bKmCH0+hWB8yLoX8IvQZ/LKnxLJBLQtbDlzZu/2W7s6sSZjJxcqroxoHakMx/owo14PRrdie3tQ+UxRsIVgal4ne1/qcQLwCEbTkp6dwIWHompJrK5ntL3uUDXPxZOe7AkmKyHdd9XzrZG0+sm7W9qw5YVXMbB6JTrZc521+Do0ewbjO/MTTU1f+vLWIfvXzVwM7CpqwnfIVA/0Uq/3pzxp68YOPxomelwsyl7/N8l73RRwYf07/POpfx+zK9ufthn4SsyADcC/Epfpq3OQat0qpLHI0x8WGoU0wpUZ3S0DNCEpx3UzwjBlFC1AB4oYbdcgu7oJ6/d5U7ilh4qZbYiMPIBmRz+kxkv8JRg7cujfbO+F8P7bUNvQh3MopepBu1F01jOCthDEGtm3zX7rzVW4nX3FgR5sNeMeBRZK4QtUIsi8lj672s5qqcwm0F1M0xIPAtwTPM62rl7QkRJvMPpexlayV9laJiU4pY6Vej7Z0OsCTbHe0yPYlkYN9X9SijWAOuqTYn2Nn/nmvDqT/pcuuvTbVT4Qs/vTDIGvFOGkF37PWxswJ9kN5yaPNs5sHWyVa+/pRUePLFZ7DZNf5QH9rtdamc7vJNlMSnMSjG/jc8qAKEsiFTsfZkaSmSGJCrAw40FluIFWeBwGfWUldI71JeXY97dH4VBWirrgaOROXAxLUCC+NycOQd70f+d7JMCj6VKNfR/lbt/eV4X/mRdPGddPnsdTmYshLs4cIqKMvn5VYQF6ezzg4eTPi/3RwuFUtmN7j20GzpQZsLWRnSlX8jQ5D4GCJDKf2Vz8MYa4HZXFoqL3IDComKImAXSZisS+rGj2Nrsghszm2+YlGgU3EchkgvK31fm4blochVvc8PzWYmSwhziZpLAyqojdMDPWKLONifTioiAWL+8oMW5oX58Xy8jTmWn6cjxL8RfpbN80M8Y4jK0mA1yR6q+WpbINzceIu/xg+V4D4LfMHdZP/xZNN8SSz6tuM8QtgdvJIfyjiTd95yxsyyntiXW5hsgl5bY9JY3Yw15vqbOJbCYGvQLxfmYqTnXj0iD3dXPC7JQAtPWXUxa1C3+4bCEXOa5moaKj0P61aNHQo4ROhKiK3gWusmGVSM79bx4ii9zOLFBS2UbnTJCWFK1ZCIwA/Q4CfistMZ14nI4dLXDo7cKQhxc6XD0QFujN8oG/qasrurdG+or666k7/wiv3WVsy5vCNjKVSD4pvf9J0bnOoYqthv/ckI+dJDEOcD/2Dv24eFwcrpoaba7rqV6n4Rmy/bTNwFd/BmwA/tW/hqfVGSh9vpz93C+SuCQwHzl0gw3wsqfBiFLnNEIhCLlSHzqW4P11Aqjcv5i1pQRpHx5alc+I1ouKbuEUeOnDfW9lYkFyMFZQEKaFEXNCkMWkv++7dAxFUrwYbfaR6VzAFDVMj7jMTBoYTXqzDj2HKnBBNCV5cWcJxVUG4GlxxrfmjaJJh69JcS9nuntyjC/ayRyvZ4T+iwtTTc90OOvFl0+OOmk9XOch4DSGINx5O6Pb/QTs53n+9YyCVZ71IfDKb7yD25cKnT3fH806c34to2Ay6D8JxJV6VzSvyLaUgjK9rC139/dSD96PxLA0WDiHqq8fDwStNe4W1biZKl/LVLnkaC+lfvui0cHmeIjxJq3PwxoGfR5QP9vvGkorsO2RJ4Fy6rP7haBp/jJktdlhMlXcAkmIE9Ne52uN9LUPRfTtvF5OPM9Atgd68dw9Fc0bTsCJ0/tipmtxo0Ox05eABzMS9Lu5rwfez8JOLo70HTODx6t+/mumRZvzUUnANmwzcDbNgA3Az6ar/QWcq4BsD/XDf/t2JlO1w/261t1Kretrs+NQxuh6a3697tS8scuW04435SHWiZ0YMTsbhTIhyiU0LJHT2Da6kEkEZHS4N9nq9fjanFg8vCafte3OYVcwiopE0uxExhi/feuQIcOJQGWtNUvYxYU58nQqr4lFvrek2by0bHwYZtKD+levZtCHewC/vHA0/vhetklTz0oM4D7y6NcdSZa5osijwcEANs9VgiqKDA8yO3CwvAX5rC8Hss+7mkAr5ngDSXhShRO4yGhlOvugt9EbW4sUC1XZaikiQ1L38UGcAKW5UQvYt0kCm04t9mZGt6pZv59J32qmxsN9LNRmD8fsRH/Wvalup/cfjrq1gBI5bRPV7dTHHRvgSRW8YCq/NZiIWcI2WlCMHAL8no5OHNqwDXUv/AuDZKy3pk5C7dSFKGIr281zRxljlOHpGC5TKNLXuUoQ5+FVeUijscv85EDTxtfJBZOuy8j0/rGRvjW978b+eQsXXLI8VVnCwmtlIns+p0Xca7srmEU4mv0nwJcf/EPXTzLvHXkutt9tM3Cmz4ANwM/0K/wlnJ/A81+sLX/AaFlkJqGljDFUZ7ZKaurGPDnWH1fKSISv9bBGW83od3VmFeunzUghWHcQ5GRL2kTQEjj1DPSTSe7HGraFKfNSYx7iTdCXPWgq68/jScz6G5W+WjsJ3rqzjxiq0SZTXEU2oQtZr36U4Cx1sTT6QPuTFS4S2swEf4QQfN/ncd93Sbo5npeZTfj+4iSKwViORNpKLRfUtOMgPb2lod5FUBEBLCGIEqoNbbQ9baRxSQ+jfydG745mYSIP80OVzSbKlHWpjFd2FjUMO3lxodPHvxVp67h16PpdczSDXuK7i+tN+luOaukER3mb1LIH+0cvbmUq3JmGL7TK5GJIojjLqEEfzJp0F+dTrWCSplUtX8ppUqUT8G7n4mlTbh1lUJNMdkH70r8BXquOBva0sz3Mfs92DDo6YeiSa7HNLhCuFIe5aRbLGd6ufO/RixkeDvvUe/D4xgKK2DhwkRbPNrXhhYGieo2R6X1rxkKgP0DlM3UaKrtgUva8JsoQVNOARl0MkputZxthHXXv62lCc3hzwxvVTz7hxe/Ak7dMMbX8j16w/WabgTN/BmwAfuZf4y/8DHWTlQa5ar8y0VALVAhZyJJKVR2WASl9sX1pIyknKrYWEVwV0Yqh/k/6Q99GL3CBoRYCDxOQZXiRSytMX7aaRZNotf8wcCot3se7v6xDRQqrp71oezcXDELA4wxXssZDvd3wx6vHGcb7/3s/mx7c3abNS33bHrT+/M3lY/HnD3JZo3fEdxYn4z1ahpYy+r9mRhRBu4NRdpMBbxmcJJD4lRjibRzM3iajvbC2zci9BBJARZobRbLchZROVSr+3zvLjPWpYE3npaj6e2SvK3r/66pcc/yJVDoL8nZhyt2ZGQV3TGDaPJhlhTZG0T98cS+BehD3XJzOkoEn39+Pf2zeSG3xdnx37kxsyWvCRoJyOyNeOawNcD6SKPRyAXvSk3iMYsxrn6p17+DC4eE1uWYBFEpBnQkUn4n2cUHFvgwUPvEkBhsb0BUWDb9rb8RbRd30Kw/AxTwPL2YQjkfq6+D5vLS1hO5uXfgGvdj9LG7E1eF6vInOecGHAZy1eH45tFhrZKq9oV3/CND8V0dnuNq2XtQRtFsI4MrWiLgnjfjuXrLv+XsLF3T6nowcSv9rnv90zQQTuY98zfa7bQbO9BlwuIfjTD9J2/l9sTMg/FQLVhiBa0yUrzEeEYGsm6AiL+4UprJVn5bvdmygxaRxlQ5/fH2hEUGZGONvbt77DPmrydS41f4l44xkMrnX0clKNdh7L003kWUEU6iKhJXmVtr+6Fv8R+euKM/RYQgLKIMaToCcyLp3cX0XIz2qexFUFBEKJM8ZHYT3D9YaEOnm83tLm5gZqDVtVWMYAav/exJBLa+23ZDlNuU2MCoeonyqj1mgKCJUnfr7VJGTtelzm4t5nu74GiNYzUsOCXLDjG17U9PVufHQTS+8JyPXRYyWJ8X5c3HjalLvYoLPZEpffufrDtVSX5yvkVwX5eNPaVhKnIY483hCuQ0HlLM8IanUTkbTzcwCSNY1hpG3iGQC72e3FpKxT1tWLgq0yMikg9xG9n/n786A60tPwrGLPfILzofDkovwdmGXEWY5j/apHlxUWMFbaXbhqP51cZvSt5fDmMoj3m4uTNv3opyZE/mPHyhtMap5qr+/TyW916lf/xZ7w3cVNpkFj+xfm9tZO+fxNLPlsI0LsChez9G8zlNZupBCn66nro++T21caKlnX0Pgrda5q0lik0yvyWCYV2w/bDNwdsyALQI/O67zl3KWUmGrZC1YGti9BBT5cKcx1a0WJrHIP6RdZxcB96opUbypV1JdzAX/v733ANCyOtO/D70MMDDAAEPvvQhiw4KKWGOJJjGJJiaaxDVRs7smm3zZtH/Kmr5pZje9rcaS2HtBRVFAkd57bwMMAwyd7/c7Ly++DDMgxsEZPE8C0973ec5zPzjXue/7uq/rw6d2iRmxvePbH54ZTU+eh3j1CcaVBrMZWAPY3UY2eh1gcU6/NtHB7PeUbgVnZ7B/TjarSUlFhwDUhhLwlaiFncM4lmBqT/kPmI7oE25fuh4g2BAQ1X60MeBwWo+C2Ht/cNKK8BGEZ5yPfnTqKkblSqK8ai+sR2XJv87YlL3YCwDfIsbWbv2/18IZPQvDIkRTPoCMaj9K9YLcY2TqEvYkX/113JLIBbCD3BsXtC9c2C9MoD/9HCA9iDhdBHC2Zr2WpQXNFWTrX+TeLTH8kCpCHvPeP352TFi0GrGYOi0jiJ0/sAgAzAsbyW4fmbKCa0L6okzdlTJ6YbP64dmZ62IF4KD4gIf10RU/Zd2UcMElI8OUvU3CzLVl4ZrTusRzKg2b6XOrrLcvVgSKidt6MmY3Wa/zR2lcs25V9Iy+c+/NqWIUUGFpRishn69rIdCzdcdehF22wfTfFlaxcfKZq3Ova52bnLZUW9wA6mCnlsBKXndO/7ZxA2Pp5h+vL41tgW2cx9ny9w1pH0YzEmh1JR0pAu+1CCQAf6898WN0vxKoFjEP/usx8yMTeQUKZe8/sUPMqnQEm0EZ/BNndQPAisNjU1dEn/D/vLR//AUuy/iBScsj0NchcyyiJH31qZ3jrLHjYk8AoP/90aGxf3vfhGVhESXuj7MhmEI26eiYPfBMjvbmzQoKzRGTcSxsCxmiIjLObbent+2m4LlZqyBh7cy8D7CM6R0fmgNAnzu3F2YoqxljK5EcHToAMtqi2vt+BQ30bpT7R9NX70kW6HVnoPH+fRjTpyOx+qFTOnHdhmH8gnUx8/zkmd2pQDSPG5ofPT6bTcy6uMghtBRuOa9nXF8J4Pg4MZrCpuAMJF7P7psRgqlF83sRWf+X7pvKDHytcCHXHIv/+LotW7HnbB/O79czStHGmWwWalvBCsAESHMPvbGCOG2tdHNjfFrUDxiQNA9SD8+G8V+Ha5Rg+uJmaoPlbsDZjxqZ2N8XsFfRqx6BPKxz5C1pK9jrbwTj3Ox/ucp6VASW8dE/jSFBaISiJrsWtJ1aNoqciGxmr2rdYl7/JOI3ch/kChjnfEr3VleMra/Zhk8r+75IcrM1UJ5gGAOa/koReA9EIAH4e+AhH+tb9JesrOzfI2jiL+r5EL4+eHLHcBoMbH/hOvL1W+RG7X1LVrvrlcWxPzsSsLp4CDrilFJ/8JjZd2GYhqXoly7pG8vJW2Ei38bctj3lm0f3iiStZwHWCwYUhXHzBUKIaoDoQ2SeJZChzMrV+NBDPFpq8rX94caAj+Iu9rb3Aop79tSOGaYjUIJE+cMRJ8fRlEZVFrUXZLjplIa7Uf4fTZbc3RI12fw27usJyslPY8Sym+rDjz9yYiRzTVxQzGz88nDdmV0oDSMRy6bE0vFn/zwxlozrQQqTtW3Z+VKqA5L71DdfVrwlPDJ5BX3y7cEytqVzAfle+ulew/ntfxlJJWPJNFoHu8LXLxzN+kBhDkJ7oOTtuNdkNhXfwv2tPIs79159j2NfLWgBtKOq0IqM3Y1OAQAqOLdkQkDnOEvVTgX8klnvS4cWxaqKBMQlVBuc31+OVK1GLYrh2CKRt9CFz5sjWysBjrfv/5jpjbu+BWz2KgPu3DVmP7ciUdHYXPbn6WOKwHshAgnA3wtP+Rjeo6zzCWTVd766KIqlyLy2FDscBy+JSR7+8rWc/u0HpkVi0qcYTerYomG4C2b5NshvAoTs8rmU2hVYGULpXHCevaokfPfRmeGzI3swB828ObPWHSBf2Tu9YHD76DHtWNQ89NfvR1XNcS3Ps5W+9nlksRPpuxaTGUrwEsAvHtIhnNK9gLly58xnRtZzXGC5vwTw/8e8uWX2Zynnt6X/bklfe03L25aV3Qw4T+4xDPLZi7PWsvHoz5o3hztfWQyDG933TsiXkkkaI6VjdVJrTEzaUH7+Jqx3M+R7mVUvBCSdP28D4c4xtclUK/4OaLvx2cV7LTf3gaB2N9dz9O6GkUXhl5zvJpTo6tfKi7ERaDtyj/XpgUv0e4Ns/nvE7nAA7ubka5f1h2eQ2WSAs5HlnSGkCbb4j3N9e/h/pO3QkHNb73ZjJelOC9euZNeW8CXfUXmP7HjJc+xZDgJcYyZwq9qn3KziOWfDTcjNuL18OlIEUgQqj0CSUq08NuknRxkB2dXPA1yPTFkeZ4FnLd8crscP2971wSIbzioj1AGYgS38Zt8X2pFV3wj7/H8pub+G33bX1s3CIAhMWo/KUJ5P6fhpRsxIbenp7otjapazOzPbfCNZewE9VoFCcJa1ruvXJMhnjRE52VxWFglX157eNawgQ7wPcJcFrVrbFF5zFkIvYHTsvVaUgUv++v4jM6Pd6U2s8W+vLo1kN0u3ltFfYlTrMbL+M9BUH0VvfTYbCOfNp63YGO6dQO+cvv4Axt8Eb8+/FZb1y/T/nX1vyHVPIbNWu3xIx+b0qhvHMbYfPjYrQ2brUhANUiT8ORddCog2gi2vlajjWr9HvOZ/xqygXL4r3P7IAuLpJikzC677WF+qBVvKdoS5S9ZineqPKu8V6wBn1uyzUvvcVsYqYr+UjHrR+lJaItvCYrJszVMUaTlvQJtYDrf/HVnupPCZ7Dpzfa52yFERcI/s0zYS4GS5p3L4ISFL30gRqDQCCcArDU36wVuNQAQlmpIPQ/R6mVL24E4t6QNvCNejg90f682DwRvmMozi+2Ejtwdor6BkbB+7EEKSzGoZ2f2KWjA2VhLLr/eQZT4zZ3XYDjvZsqzZ+c+enANw5JEFd6enig43Zdl1lKRnYB4ynT64mXs+5V5f+/EzkVwlW7xiWMcI7NtY5wx+Pot+tj7VbfMLWMsyAPlggZAD984uYR/AtINrv5+1tgIUZXmrNteQnu7T09YwCrU9fApg74n9pgYgVhEk0t01bhmkvE7hBEA4W30QFP/B9bZxvTaA4FZiIetclrglYR3bLsVoxdlt+/kq2skiv5Hs2vaAMqySu5QqHdQ5P2qwG/dde+lJx83QmwS+xZTgl5PZttm7JYyY/EQY1+XksKZ5e0hmMbc+cIt+4rrlBEwj218JX8FetO+V5d2ZTYUkOLXcX2SzYlxvoDKig5yfZ3vYB52w3BdHAu5c45Ryb01fpgikCFQSgQTglQQmffutRcByuCVoBU+0Dh3YoXmYxaz0Z87pGRnM5TMqgU0QsC/+rxf2iSXgzZTAfzNmAf3hZpEgtWrzNjTQu4YHIV45Jx1Z5fsxZw9AWhcl1qtgrttrfxj2+gz67RsgoDkfPZAs9mrEYcxCv3zv5OBsdVP6us4TCzYKqwwHUFtAtpq6rITRrDXh6pM6x/Gv+2A4684V02SuZ9k3j/cq8LkZ4P86Jf9vXTmIykBBHGW7/dFZ4SxIVtee3icCr+e3RL2QcvpSAFCQcxQqdwPjBuLZWWuoFOwN+RDk8nZjkUnmK3hL/FNyVVEZSXXtKaHLRpfpLXO/G73kAjYmVwx1jK0gmq8oBuP7HIErj8tWKHbx16p9DcPkXiPCzhZFoRlr3FSWEdeJb+FtdSEKmNWbXbuRsGd9waB2oTMl8czst2X/3eGB11bEyoNWo2403koPOgI3ZfeFVFCypfLcjDsB91v77yy9KkWgoggkAK8oKul7R4yAv5gV59C9StU1JTu7k4EKNP/CL3iJXQpx5B6+Zy597MchZt1wds+oTy7oOQ42a3VJHM/qB4ifiEnGsG4tYpZr5nsQMAF0ZYwQ/fjxOXHsaAB+4kqCqoTmKJEEMVnYktgENbNzpTnNigU0r2efdjoZ+Hc/MDh8HxC+k83HMFTc+hc1ZebbeXK0wClvt6WH/ClA2PP+73PzI9vdMS6rCiupFMjEbkHpvun+TFTi2gLEXF6Gme6s+0n0/XPB2+xbC1Nn4e03qzB3FmV3KxjrqSCMBbifx6hDWdjPYNGpcppkthUYkNxDleK/GKu7kt648ZhFtcFNgqplvv9wxx7K5iubtQuDqGxMZbPD2yO5TlGdjgUNw1Dm7kczqtWWNoaxM0b+4f8RpO17j0MkRmLi55jFd/TrSOBtlSL2uAHux+lxm80n4D7cU0o/SxE4+ggkAD/6mL2n36EAib1ugUpXMDW2JYqpcLYYQtLNjEJ1ZFTIzCr3EDwVa/nLy4vCJQih9GZ+WpDwEAz20ru2FLtwXSmkrO5xFEyjjIoOXkbPvGH4EtrlTSnx2vsuf71oiMHcsVdoCnvczFqgE6AcX1q5cStZZx3sLruFnz0zjzGv9ZTE61IGz8xjP0Jm/9xMhEdwVrsABvi/Xtg7fP3vU6O8amnZehzQurBhaQKZa1HM/PtSXl5M5v0rJFpbN20UelMN2M/ZO3ALxu0JxsNcyAkQ2hSIGU4m/RTfM44SwT6FyUqUPGXz49rNrt0I9cawRVvSnz49J4Kvft5m986ZV8ydP3DZ+MlONhfzaEt4TuVQv355//D9x+aG/7iodxylc6NRUSncTcekxRujWIvPRUlZ413ZkQXuBfszboH7LMhpn2Ru32w+ZdyVRS59P0Xg6COQAPzoY/aefYcZ93KA7w4YzzPJAM2o/dMZ4pP95FvQ1nauOgvM2UAJnJKw7oL8JRCNYJwsa6Lh+1UDm792K+8T22pHoY7XECBRBa2iQ8CXRKV1ZW6Gm/taIWYv3teCvQYZEcBZvx1ixVoExV8B3BuQ8TyrVyGkth2xtF23JMOqvhxf8GmMXvUCmB+mlO9cs+VxawqS6OyBj+rXDgJcawRZFjEm1zlaXbZkXUqECqxmyGbTzk2rHibBT8UxWd21yfIlgzkn34PKheIuxtF17aDcv5BKheYoxnkz1+5KhUGyXRFa7U+h1a7+exdGtHwmRzx4ibHYy+pP6dY8aqW3bNIIMN0bx+sqA2+fzTzU1GT7f+SUzrHHX/7ZZq99KHCXAdyFCbizAUofUwSqIAIJwKsgqMfrKTXgUKt8CrPZioRkjxUoa32odxfGoRgdqiA7s5T6OCxtzUk+ARO8ET1fjyyw38v4WD69Zo1G1gGodwP0Iq8Z8XayVnDkoMPRrVN7IrdKebmyw9KzhwCu45kWl/afVQCzF7sRsZcOBXXCV9AW1+5zAZn/pKUbItB/g3npG8k2nVufub/k3BSJ0DyyfbW7lWtV8lTjFSVZrQLczoiWMp+LYGyLqSqJOcZmifzDZOsy0B9GQhQb7tCoYf34szZouX/yrB60Apqwtl3hFV4viWzOys0xW9V85VI0yGXV25qQnPc8Km3LNm7hfvaENTDEs7KilcUhEwSuScw/CqHuSebUr0QZzjZBnTpqplf8TjcGzqH/ged9Mf3wIcjOVrRZSsBdcfzSd1MEjkUEEoAfiygfw2uYNXlUBKRHswx/gQtE2Y9RFhVCWXnw9pyOQ00nW9V6s/xhCfgNSFivIGZyK+IrLRAGidkxJ1dHW0b1Oljc69HDdulNYHYrUNIIwPsYYH8f88+Kg1je9X/2uLUVPZn+sp8f9uB8xqMuA8nzV29hJntuWAvoWQGwzL8W8w0tPs3oJy7YGEfAHFv7FYS6n2Gi0odqwSyIeQrFKIeqX7VWnL/ACGTL9r2RJT+LmWiFYhSNiTfGBw/vZTOA7qy3kqHD6TOvRezEkrRz32qR68c9hU3DXa8ujj7kyrIK1oNRZVsFE3wigD4GwpvnMv6W5Jm4g7y3jx57szjvbak6+8wzVz70b7cyHbhmQzY+bho6tMiLS3WUb/feQ6scEhN1/vrDi4vojxeEM8j8fW/ukQvcT7I5W7Zxe8q4cwOUPk8ROAYRSAB+DIJ8LC4h0OpatYSeo0dnSreyryvqa/pzf0nz/5gFCw56Vu/lf35Pa8tNeDgLOM5gKzG6Ck3zuWtKGWOq4Bc+ZykhK1UlTInPuoItf7JZnBm1UqjtAQ7FQHSXWknWrsGJPWFnqRU0USHtNDLr89G2Hku/V3ct+7WWnU+iV6zrmLKaLyEfuoX12dv2OhUd9uoxqoxl8ImUm5UAlbn+6ZGtonynYi9uLAS/MuxBtez8PO5j7VjjzWwefsyo2mTET2R9m1k75ywZzvlykfonT82KBL59+Ijv3sMaKloG35NBr4jKNARtkCSHvFab+98VgfyxaStjVr+TeFiWV7BFuVZbA6qW9QKk7YfXJTZj6ZGryNatbZM45jXfeWweVvRPr8hmMycoVjI+fkYXsvc1cZbdTNqNFf5ksawe/xHsXz+PPxIAJSYWUq53pM37zh5vAndpeBJCnsA9klK5I32px52NUvqYInBsIvDmf5nH5nrpKlUQAYFyPpmgmaGlW48ujAKp4W3vVA1tMDoCqsANVsT+slnvOrJQbTjXRbDGzrG0LGyE8NUUwGpJtqZhRBN+gWdsHQEywE32ci5gmRkLkD8naz29Z6uonJYHGJcCsn9+eQmg15JsNp+scycWoxsj23oRJWsFUuwrO0Z1Kq+5FHKbKl6OnrWinP7Tp+ahb74B9jIAcXr32DdXVUwymEprn0AkRqeu3MNMWNa0pWiZ5w/wOnvLqpqdS8arYIpHUUGjODtub34qLQFtNVswGjWJsSwNM84gS59FH1oN93EL1oRzBhRGGVTL90PJkLuQwSsuUwuGN5GN56zsL0Fvzw6lP6mM7IURTkaeEYFB4hV3tCJIdWb+gxjBs5wuiFpS1471OUB3K/fRmnjonT0bgN/FA+xc0AR51XaovC1ho1Y3bjKym6a4Dk6S6SLUipu1bTxTVc9UkLP1IIDXY7O1S55BzuZDVbV7qHrYIrHv7XP0OBxwy8LPzrHHF6e/UgRSBI5JBBKAH5MwV+1F7E3/GSLVXEA82xP189/i0nUVpV+dtdZu3pnxXWZcyfLoNn5xt6CvW9i0frTmLET60pGsVnytR3fDevzTAAQEuPteWwqDfEfM6MuYB7Z3qvCJsCWrWKGRz8M+X0E2Nm7+eoRRlqJx3iK+V8JWB8aT/oa06qTFGzg35ClAS8OR7YCxHt//ekEvwKsgCqNkKwYCx9AuzfH+3hhHtSR3SQarT6VAO8/vo1Qm2J7SI1NKF7glvZnFPkNmuxETDvXJv3Bxf9ZF35tMP7dnrkKb5eoFkLReJLs9EUlVy/WOuV3NDPpAyvRuBH7+9LzwGmXz73G92/DvHoCd6DY2HgKwm6FdxCEi85EeMSBpFu8Mumu8hXMNxT3NNboBkjoQqyhUMhzZegqtc0v2xlehGIEVDI4yrh8d0QWHr7r4ls+JMbtgYMdo1WnlI+NvXjfsgyBXQGy1JF3MGJpM+2Fc2w1MpmhhlcSth/fB4vncSoiMeA1Tbh6NsQojcq4pOw72xP5SuRn3dajAZZTTMtWWI91++nmKQIrAOx+BBODvfEyP+RlVNpOtnAVvF+Dn02AxC4htyKJVEOvB/LOZrtlcc0d6ACF/iTNAFLO1TJ/ZzC1T/i4G6FUDk1Et6Dsu9vXLBkeN63FIgW7auiuqdPkL3dEp5U+HQnbSeUqW9gyuX4s+tVKcJ3ZvGc7s0w4CmWIggB6N2VaAyacgi52AcpvgnHuYIb4MkOkgNnbOGlTAkFZFklXg1FTjAzib3QP5TUW2JpzHMvXTELSsLpzLXHlfZrq/jGtXY84r2GlbKk5lD7NTs/3Xl5SERbQdNoGOvRgL+zfEZdTxNjYSvz5/fu/wZ8rJmpT8EMC8HP302cysW9p3szMGn+vY/86euJKPArH+4915BvNoRQzlXoynAGlfXCW55xG4MeO2VSCor9nfo6flHZXctGDV0GR1SVn4waOzow77YDYB47EpPa9/UeQTKJ/6nasGHWhPDGbczkz6mw9Oj/12RXecAFBT3ee9Y9cu/q3sjW2AV2lbjGUNnzuvV3ye/rtSgCVjMlIWS+UJuCt5wOnbKQLvQgQSgL8LQX+nLynDuSmi2mbLWZAClxm1qhduA5AEuAjOgjW/tCNo+1clh+XS1WStv0K8RNb1Gsrq/TC4uBUw05nKdK1X2/yYgXo+szf9vi2tz6DE+zgZ8NxVpbGUrke2QP4k31PxqyEZp0A8hx70YFTTTiKDLg/eXD6ObWkp+SHGs8wa/zJucbgV4NbdTHGWfoipdChYH36BpKil+DzufxRiJIKkdpZmz/FgbfbKY2w88f6Db8dRtL9TLfC49IQiyG2FzFgLnpnDj/IIrj29G+NzZbEnficjVW0xUPna5T2oUOwNr2LcUrrnUF7A/lMc+OCG4FzsMR9+Y2VUOtMmVRKfXACz3leRoG3OCJrz8AK6PtoCuOvWh1xegCVvyXg/xKq0CffboXkeinalmI80CxMXrYue2et5j5uchYzlXY5im7P3v3puLqX6AG9gT7jt7snhPy/pBwu+OM6t3//6SkxcdsReum2J6yixuxmbwyblySmr4FRswymtkB46c9zEwnNXxjs4cLPpkxSBFIFjEoEE4MckzFV7ETOq8/CGvg/LSkHBQ4b26dhz2p/M6nC/lVWYTSrI8jN+6W+ir20W9v6hncJlgIEbgSzuW/I1kd5Mn/vF2esBkGLUtrZE7Wx7z1eT9Q3o0Azd7+UQnbaF5ry3N0DjmNWrC9dF8tZIMmWJWFYLzFCzh9n3GDJRKwEjILXlNagfmep/eGlR+Oy5PeM40wTmxBciJrOBUrxs7vejdW7ZPXseEu5AFZkNTa14LbXHLXl7uNmQKzB27loAcnf4Gk5gAyvQbPe1rsoeva0IR7kURFkPsU/BlmsZD9Na9A2ETsykD3dIqvv503ND8neSPwAANgxJREFUGde+aFD7OCqms9lUNONb0FaQVuAoXdeWTcNESvZKt54/sCi6kuWJvgR+Gj3xn3JdM3d5CZt36GveAKW2snATfAd7+fbkn2PeXDOVS4YUxfnv27FmVXa2c6sGqKltDl+4e0rsp9tLL96yPkq15nGPEg3dlPwGq1eZ/wm4D/dE089SBN79CCQAf/efwT+9AlnF7x/WiVIx88UwrmVW63tVTFlWsHqrAB59vGFL3wEZzcy7KcD5xYv7hQFk31pqegi26niXkBmOASgewJhjM58L/GbuDeruimNeG3n/t7HotDCu1Ol5ZMdmbr95YX7YguiL1pO/QcRES07nrXXXMnN24+Gax85ZH7XRm3BPEsfO698uEvV+QC9aUle7Fo2iy5dZv0IrF2Mn2uzNPUBca62MGXiobz8fKNaC1EaywP3wpGWxh6tPuPPnZpYVHcKyNp5jKZW3oKJxAj3w1+nlz1pZEn5EJjyazNiSuHrulR3e0ym0EOzny1d4avpKxstWkhVnrEiVnZX89xRleolxJ9Kr/ghgWpDXkHURD2L7Os/1DqoNrZvV4/kiRkM2vhVJ2cZN6kYjFcvuthDcbLyEJOu/XtA3blzsn2/aUhZuu6hvfF4zVpbGTVl2rW739hCXHbt3hfvhAFhxGMXGyhE+NxQp485GKn1MEah+EUgAXv2eydtakaXfCwcXkYm34/2MlAE6v4C4pNjIhWR86nkf7pANPonM71fPzo/g3BNW9L9f3Dd6UztTblnXzNjxq3GUjSdRsi2hJKsXd27uKUA5K66b1bmUXt8PeOdDhvIcUwEwQWwQfdt/wezEDPB1MneFVe6mZ35it1axR7+V85ZA2roQUPbcgtBL84qjspkVBlngH4dEJdhIsNJZ7BFEUq6m1JwdefJ9dUjBwb64cWjM/S9YuxkgXhfHv67l/f/38uLQjn63pXpZ6Mqs5h6eQwLg/1E2V7zlYyO6Y0G6NHz50oHhDhj/+ndbYTi5a8uoHreTe7e3zm35COJh6bwJfXiNVrz/OnztRkeLFFsDzsA7IraXayu/+qkz+0Vynf13V+NzGceG4/cvLYhCOSXEW9LgMq59Dpuii3jmgnYZ115OdUPzknPph8u8tyqgh3mPNvmx319I3/7gO8ys0b8lGxrz/w95WrXibcukUvmb8UmfpQhUxwhUnHZUx5WmNR0xAmZLZso6brViBOwaSrxjUO6atTIje1rZCWRVPz9rdfjZ0/OjveVFjCd97YoB9IgbRgvP5ZRoH35jefgmblz2omWpX3VSlwga+3HqzVODEJa+R/ahrD28cyy7C2glyIH+5aXFoQ4s8g+d3AXwqh/76eciR/rFS/rjXtYLctvu8CMUzX5IyVcUdETsUYD5m/dPjzren8Gy8yuX9cfta2t0ILMkLmBfDqHNsTH77xKyPASq7Noym489ZPyLGI1rEG6ml2+pXbDVL1sXrvJiKL5X5bi7JyyhZF4WPjOyB5lxi8iaX4pC2VcvHQBwF1AS3x3nySWPuUlpzUevbfLvhNkeStLaoGZMTPbEcbEb2Dyc0rNFVFJTBKce91BITDcA5i/PX4vwS1kk3VlpGEOZ/TcvLIR9nhfW0qvWr9vRtmtO64pKW4e4CRBod3ON5bzPjH1Uf/zNqVp43/a6T+vVKpLyJModrtTvnLolftn6Cbx5iOlIEajmEUgZeDV/QG93eZLLnAW/HA/rv768GDOOXoyMNcqMDAFtZoL8ro+SnA9A5HqQEaH6/OK+GSexEzDKsGc7fsHaSNKaT6+5H2NV+mGr2y24PW/WCIBWdAgmiq2stPcN6U3xktXMPi+G7e0YlYYlum9ZNfBn9l/bNsMmkzbAmWiLf+meqbFf/eV7p0TGvOXxkylB+zpuK9qF3ok4jLPizk87AncpPfB7+F5X7tnRqeyhzegLsNhLsdC8bFi7KEwicI+DcX0mVqCteO0rEMjK34tz039/fRkM+q3hM+f2iMDsRuQcSvmPUTE4pXtrjFt6hXtpITyKu9o2wNfMWuGbGJXMPiIuw0pDM/rWm6ksXH9WN8r3y6NveVuEUjoxYrcIzsFQsngNUWZixfqjx2dHhrstjFdhmPscV0F2E7wV67mVkT2d37Jlfzcf8xmH8+HKVLeVYka9lHjryqaPuM+kFpunDDBX/NzceDWi3WCM05EikCJQ/SOQALz6P6O3vUKzMJXDHAX6MyDem37z4uJS2OB1IhPc0aw/jF0IAQ0iFQCjEpl56wMAzHgyt3wEQhxbugSGtqVyx8H08l7MR2eG9ye7h6xPXC9BvUxxF1nntSgYT6cKkEcZW8b51CWbYqZXRoapKMtWzlXCSFrAPUxFOO02WyOqUkDPGdxhhnxJrADo/tWTcnCThrWDJf5f0iK44exucTZa+87xgPJDk1aEK4Z3jD15y+26d3WCCd8bBbOMDSbWnYjWzKaHfRWZO5Xn8DccxwQ4EDHey1au/yAxUJNccphOa26IwLcoc2pVYBpAexKx+TCVCAl6vyOOHoJ8PHJAUOlTWwq1qOd/jwpDc1jxnncYGbyMelXuZO7fM35xZMLffH6vcB/3rBqd414LKf03Y2bfioTiNUWwz3Olcq2g3MdGQsJixoKU8TDe5zz5APzEzbzv4x4nLoJsd2CB+9eZs9wO8Aras6mIkwUH/zh9lSKQIlANI5AAvBo+lHdySfa+dbH6ClaYzlVnS8VPw/JujO54GTKe/cn8BnbOJ1NfRE92R8zYTiXjtd86ASB/BMnM9oBYV9yvBPQPnpRR6PrJk7Nj+TjX2MS1N2F2uxAAHtwpP7LiBZLduGZ0h5XeDeDt004wzRifmPnK6n4OkpivU6pVUpflf2VXYz8cpvvS4rLIjre/rqlIXdTlimGgf5vyuqIz4qYl9e27i5mLLo5fb2D9lrbNZNeVbqEfXBxL7BLQLHX7cwlye6kd2yZoX6Dm+L5IJpNVfyOMd8e5MnPeGSU1S+9n0R5Qw11fcA9L+pUBY3wBYF6Gdnpj2OQfRs717H5tY+lfcpuHPefrAeaF60shBS5nswIxkM2NgOrctlK3/pExL9PcjVlzwNoqivf8Cv7ja9CpH4KPuj13uQq6rLnZ8rWPTV0dqy1tueeWaAJ4Dgl9WVa+gJ3fmLWd0pnZ94zyWlxY+itFIEWgWkeAKR5+A6TjuI2AJC8JVzKcLeXmHsJHBqD2RPESZVI30quuByD2AER7tG1KRpcXCVH21WvT2LX8nM3+lul/PWZBmEmmGnvPnN55dCVcZU7bN6/FG/QOVyZVANGecs6aLZTra2G12Shm4ArFDMYfWxGYO8bMCzed3SvKr9qL9Z+nqxZY/SO7XbW3l/izA7C3v6wE6VXDO0XgehyrzWdQMSukvL6R8rEtBEFN+00Jba0A5Mn4cCut6vmVLF1FhlofRng+mbTgp365WbvnkGgmoSyP7NcM2Dh4r3eOW0ofu2XM0mczXrbDDP4Ih5n8z68dFtsK5V/qPW5mvX9ENEYDFMvddvIbN6gVPg4jXDOUeVRSLPcvIH4DuGcd2fIBckVdWtOCGMx8/UhmzSey6bqXjHs5oG51oAmVlKvhI5wC092NwENvrAzPco1NSNsK3tqSXn1yJ8iBLeOIXvm1pa9TBFIEqmcEEoBXz+fyjq3KHuhn/jQxKqkdclJQQynProBVH8a49OrO9pQlQ9kTlZlt6bgiUpNZpzadApgZrH1tCXO3wV6vz/sdrfraP6YCboHZ53ZRu1s50ZWwvh96Y0V8rUYbMr3bt2xIxl0rrEDF7ccfHRpNRAReNwu5JV0B3YzfUbM5q0pQLlsbpU47Yd7SgQ2BrGvn1WV0T1lWEr5xeX+Ia40QklkBCQwzEHrHL+Dw9e8X9o2EP4leKo3pGNaE0rbjWleyGXCmXGlWy9PakFpWty1gRryafvQS7te1uKmpzLe8fLxli//2+pNQkmtwUDwFb3vbv4Os9sKcVWwU6sfqiFtr57mbsRZNRfpRDvd5qIBnb/wlMuxifMyVPJU0p0LdgjWqyu2kIrA39sLfN6R9GIVGQAtek834vedtGKps2Lozjhj6fis12Y1Z+XWnr1MEUgSqZwRSCb16Ppd3ZFUR7PhFvgMQqvAAmP2l3QGSVH5DQADAEEgklskSF0D30JdWarWWH8lYzQsFVP4fAb4ZGeAwssMBHfZEFvhTOIx97i+v0QyuRU8WH24qAJ8/p3cYz4jaVynjK+m6lszwNAhkEq5007JKMAPg/wXz51R8wzcAfa01+zB/3gcgVrNcwlaWeOfcu38GQ7briSJc/7n5EfzmQQazb98D0pYA5yiURQc/SuwS3CZg0XlG79YHVMUa1N0XOlFteJ7xMu01b4EH0J0yv/do7m+JX8ArJVt9DuAfz/sd2coH7HfQfhiOhvrzyql6oSMcvqL8ZsjvmXmrejduwTqGy+rAG6gVe9kfO6Mr5f96ce78H6ikeX3Hxnpxf+cPbBddy5wKWM+c94Ytu2NMWlNhiJuvOvXCV2Hsd23d9KARQv9NCOSCts/OI3eDFL+R/koRSBGoERFIAF4jHtPbW6RZs6xi53+3UH49BGL4Rj0QpZgetBKeS1FSM8s0c95FX7iATFHil2zv+Gf/5y3RANcMBFw8kEnqS/0LCGNm/GaOIv0Wsrx6gP5Kzu9GwaxZP+42+Y0jgctRNzNMy9LqlSsv+vXLBtLjroMxy2ZK86VR9MRKQG+Aui9grkd3PqAv+UuC12Rmqx+jRz+gYz5ksB2U0ttHwlidfbYDdqKStin2mwX89ZTfFbe5kZG1rGKbJXPL8htoHXwJidGeZOgCXAa4M2I4ss4VrZG41x7WuDPWi2gLLNleRsYs8LutOSS6hzw0wVPw96PPxjiVsDH476fmRJc23WHy4A+c2bd1uGJox0hc89Rnoqh3ArPv4yif/w6DmiJK8f3JxpV1tULQkAdhjNy8lLHZgDoQHc5sEXgfbi7M3C2f60PuTLukxcZyCXhfOlIEUgRqZgRSCb1mPre3vGoB6km0tn/7woJYBs7CjADSHCEUZ6stpSqo4sdBAMOJENWKyHpVWBOQi7EdtTyuOlsxzHLFRwRm7TcFeLO5SUuKo4qYgFH+0O7yMkq55yB52pgNxVhAz2xyCIIuis+YZf78mTlx7Oz2Dw6NAC7ogDdsJPYiFbotlukln5lFu4HQiMR1qNn+YdzDehc1DY9PXRXFXj59Vo/Yp/78/02KINWQikJHLDvnrtpCtaBFuOGs7nEkzdg4J33nuCVg555wy3m9EVzJD7sBwVVoiN83YVl4DZMUKxiOsG1n5nvnrn3RAawOG4Km3MtqNiRqsKtnXp5jkBsHgdKKRn/O/+VL+8UKgCTB7z86g+pDKaC7Fw/w+lFzfAT68G5scqE1VgF4Hi/NXR/uRfTGMrmZ9mjG2mbjPLeKqsanmFXvywbn6w9MZZwO33DGyDpgOzqC3rfmLq/BQv8bTPfNkOEKqYR8knl0mfDZcbTc9abPUwRSBKp/BFIGXv2f0T+1Qn85686lpvn9zDWXMossMPgL/KOndgqn9SgkG9yHFGkRhh1bUWPbGIFLGD6BmW0BT5vRjLhHJuOOvW8yx3X0X4uZs1Z4ZNkmmNgVgLeL306pWcGSVZt2IFsawumUz/vRczdz/taDM2F1twpTl28KV0B0M1N2cyE4UU0ODSjfK7faDab2aHq59qBfZK77CchqrkMSmyVss+t+gNdCwOwh5rIv41zKi+4iHZVA50jYBtarVKkz7MOYu9Y28x5A+poRnSiNb2CWeksksP2NeXJNQnZgUrKbVgAV7UjKa1S3HvHKZ/2FlKabxHi6EdlD9aIum4TdNPtjCHKRl/vX5tN7bo/a24Os7bdojV8JG/0XZN5zuabnb0Nmf9OontE33Rh4mKlLBiyDrPc4VYBnmRzQVtQNz4699UJLmOPeuypzA9o3jeYxjpwpwPNZiIT2wd+Aca7L2Z/2TxhktfK3MQr4v2zqbm8NWa9ZY2IeL5n+ShFIEahBEUgZeA16WP/MUi1fm1EvYeRJUO+IFrlzw7kl1FhujQSxvYiLlIaJELoEAF2o1OfWT7oVY0ixH01GKVgJ9CVk7p/+03iy9cpduczCI6scUJFgnVe3bmgBc7pB7TpRylTpV9nWaoZLuLLf7cYi03/P3LngpeyqUq6XQepypM2NyVwcupRTnUXZfRNrMYOWpS2h7iR61PMA9QaU5adDausFyKv9vZaKgjPnupCdCrj+AqMR2wCWmflxJOGpVd4MVr2OacO7YQVKP1kSnvdvOf3f75wUmfXTVjDXztd5tALMwgVcs203GFYSmnDt/7pqSGxl+J7YXqCMHcvfAL/jaJ85u3ucN7c14HOQF6DFqdn2xIUbYqyHdW2B0E1h+Cm2pq7zlO6t2FC0BpwXsoHZSSWgDfyCHZE/cAnxcRO0m3OVsWm7k8z7wddXxIpG9t9RI+5FZTsZ7onAlo1K+pgiUHMikAC85jyrf3qlZnTgSTyO9As7O7ZVRh97DgA4kQx1OkDVltL6Sd0KYk/WEaZ6sM709/72Q9Nhg1fsyuW8+VAIZ/aKLcNL2tpCWTpL/JLhDd7Fcwny9qBbUZ53jKt19N2GQQ3N+mV6wGan15zamZJ4Rq+bl0fAs+/rmi2ra+ahf7fSpK3yGoX1WzPqaGbK9opNNpU5zSeTFUTNPtVwNzR5DWpDmsuLMqlDuc+ulOqdpfZ92c2OALuQDP2rSMvedkHv8N2HZu8Hy73hi5iG/Pq5eeFsStuL2QRNRuK1BXHShvU2euz3jl/KXD1Ayly8o2sSAG86t3u08PT6ap8vp/R9F69z5E4Ow9l9C8NI+uBasP71lcWsI0QhGHkBruUnmKr0YZZfnfpJiOTIWL9gYFtK8hm2u5Kwthf+TBZuxSJ7aLP6nSsHxazf+0tHikCKQM2KQCqh16zn9U+t1tK0lem3cgjw/qlftwEgw4wxLlxmyc58O6qlWptqaAKQ5fALYEXPIRMudYRp/ybB62TKx4U4Yu2APLUngtHJyJAK6vvIsCfO38gs+bw4d24Wu5bXbed1i8q2xMy8oQvm/wKPHHgq2uG/HpoRCtlIWCouzAfkIcP5UdCX1a70qi2CO2B2b91JRp5dEO8V8OKB8NvGPcxBc49m1QV59TBn2R3JcucNaBOGcL+OkrlhKM/Sth/9ECDchPctXV9GlrubNYcwrHNzZE+b0HevGzXWx1MpsOf9PgD1R2TNL1LufgnRFd9fnwrExUOKop2oRi0jyawl7t1LSX8NfXW5BdfjQz6AdaymRSFwz6GHv4+dypffNyh0ZHLADYVVCdsHEvy8te306JfDGfjuwzPDOQjG2FdXoEf9dGPnLkWyoAI29sZdbwLvzD+J9HeKQE2LQALwmvbE3oX1ZsBcGdQ6WH82CMO7FlCOl+FdEpnRd49fFHq2a47lZyFZcnGUKq0NSFh+3g7wNiHT/QSEKXvOT+OO9hKKa2f3bRuFW+bTs20FyHwZFywFUywN24u/iz707OUlkMsY5qLUXUBZXbEU7UPN3nfQCljD7HajdXUiyIpNZtG2CZwDt5y9E9KZ5fDKDjc0qr55P/3Rev/LuCVRue0JlMseeWNFLNGPwOpU1Taz8GwG7mZiGpmuZL9H6GkXNG5Ilr8Tv+1mcYMjz2A6a1+1eRsz5eqWN+U6eVG2dieZt+szi74UYp8tg58/NTfc/eriWO5WD/0/yNQ70hPfQowf5vyTsS8dTPuiGYS90YO6oBjX+MBaLLVLShOoJ+EXrm97P7Nxsvd/4A8/Y9Um5tj3ZjYugLethOFUQ060HN+7MMa8svik76cIpAhU7wgkAK/ez6farU4Qqws4Kl86akDDaD5SXLojgoeMbkvdI3q1DAPp6w5m9GkS2frfmWE+gex0KCDk+JOl4KdRAnvkjeXIoe5Ada11BGF7skwl05/XH7t17Ndb9neW+YoTiwC1ppTXA6NoGS1zz7MM4Re/ltEtY90sVKKbabvAX9l4l2XzIqRKR5GlLsFd7PdomW9EIMWxunPpJevqNpXy97cemB4JdM6ty9BXeGYm4LwVToGktCe3roxjW47cPfDG0nh9ldzUbzfbfwFfczPcWas2x8zbUvq/XdQnfO+RWeHHT8wJa0q3QZwLcSZbwZaPnNw5Vg9egGgnaU0t88+P7h1egY/QhqqDoJsludlj1yTGaQKFdJTFFbzlLEg8lGDomN2BqoPhoI2gxK0ucFmPd76bjhSBFIEaGIE63+CogetOS36XIyAAWlqW0CVgmGXKzh7apTmsc/S5ETwR0AUJldNUPzsVUG7Ba1ujjCYYSvR6nb75NrJmD8fDtNC0TzwBwLqOEvIHkfi0R65GeNmuXWS5TaJKWxEZah493HWA1Hr+bIXMFtdCJtoUkK0NtdsxMXvjsekdr/DmX2BqLLmfQ9XgjF5t2XS0BnwzDl5rOd+LeHDbU+/LOs3mxyMM8yis+dWb+RkseKr/SMLiALanVtjGdUqZn9e0JFuu15nMyv1ysuZX5mXEX5RnXc+GZR3nWMumR935C1Go+wKqcKPpWbvxuOuVxeFZSu2akVyLZai66+thzz84aRl66d0juFs58HB9Mxmt28DGQ8OSXsywD+rYPLY+fEVJ2Y44dmYcsodmMufSn+9CCT6VzrNRSR9TBGpmBBKJrWY+t2q7arM9zT8EDW1DJy3aFPu+glArss+bRvcKpQDOJgDvecRRtsPY/uTI7gilrMKlrCSS2XqiNKaZSVsyXIFIVvcKgPC+icti9q5mewnf20vm2gCgrlsP9y16v5ade+BY1ovNhNn1TylNL6MfnM3Mc4MmBhYA9gqciPD2hf1Mw5ARaIw7R12fioCsfefP19KHbtcij01CIJsujcpumyDjAdOMkcVT5J7+kM+b02NvQYa9mmqB8rU6oT2IJrka5FYBliPPeh8bl8VcT2DWAW70gCIbCOFn9M8Hwqq/iJJ7Nvv2AvbS1TxXDMZKx39eNiDOx2d79lu4l+8/NiMS23weVhf6c54vX9I3zu4fssj0jRSBFIEaFYFUQq9Rj6v6L1bwqA+oCjT9KKPLlL58WHtMONZDKpsXvnYvXt+8xmzXbFXBGHaRsY9cr05pKCALFzAtsTsyNXNFaZQv1alrG71lz7+1FvPWhKIT2ueW5S0za6OpolsdSvgy0y1j+xrH12SfyzbXhIRLsTaNSxjt+uBgRtZwJSvbHmYs3xzmQ8IbQ+l6OqXzyYzPCXqWqc1U7Vv79Xoy512ceyOgKaGMH1eY4Zd/UqrbtWQDcwN+4He+sjjOcusCp/3pUtoA81eXIHTTNjqgKZrzp7FLYo9fb3OzeUVwcsHb87tZWgFj3UpGZ1j5Evey4O3PFZ+5lfL7s8jbLkRmtiMVgPMGtIsGKP48HSkCKQI1OwIJwGv286vWqze7rQOY164NaYvMVbDTxjL3kB39HTyydT+79YJeYV3JjjgC9ijZ6aNTVkUA3UWqbendcnJ/GO9Kmc4F8J6YtgZg3h2JZwKszGo3Bh7b+aDUqiz5Jbimqa2+hux3OWB50eB24R/4Z9/PXPQnKUu3Q9q1kLL+yd1aRXMQ+8yy7q2TLwb4dE9bxNiYhicb98+6O0t+4DB1P8IhsLrROKNXm0h0M3M+GQLbpCU7o8DMFy/pHwHYe7Cffsv5PcId+J2Pow1xI2p5cg7KHxkAL4sblsuQXlXzPffgksENwOXDOkawdw3OhmdL8LmvTZ+nCKQI1LwIHPpboebdQ1pxNY+ATOmHJ6+KJd/ySxWENlNSn7q9JMz5+3SyTbPavYyDNcSXvGlkls9Hd3wwVpcXoMTWgSxSVrwlcsvBj05eGb794AwkWdtjUtKSDDSjkW5vvJQZ9n1oupN4R0a54P4U89D6hVtqHwvBzBJ177bN+VuG+x6y7H3IvK4OK5AmNYW3F+2cu7189eDNZCXbbadu7galvBd6+fvLfu22Qna693YCtp8TKXmPX7gx+qOv2bQ9ZsWCt4f3p5lMHURuOnGf905YSjZdL25esq/xdW5QVpOtN6byMAgteMVvKjrKZ+4VvSZ9L0UgRaDmRSABeM17ZtV6xQKySbBAJQvcsTDLzvZ2/VmlR200xiFYqZ8aZ755qSBsxuic9yxEZN5YuiH2cRVAoQgfxVjKIL1pEHIXY1h/44+FcxXUdlPu3kK2/AoqZs6LP0ipmmIA5fvaCLzsjMvQfWwMhDG/tpQvCa4JQi6LydL7tguMWNWhV6wPuuYmIZbyvfY2CHOWrXUtc3b7sPeVc8OS8X753NxQum1POLNHyzCOtb1vcOfw6xcWxrbBiV0zimje/8uM2rmZ+TzuaLYU/vji/HDJkA7hdJzU3EDYfpCBXo+1nYzgjDPrb6EQkLOa9GmKQIpATY9AAvCa/gSP8frNYgWzAx+5vprbQvMOgE2zE2U9Be11CJLIjrb0bBZe6QHyNEAazTJ3e4BUpvTyjdujnKtErT6IoYykrN0ccZPpjEVNYi66C3PVZ/G9bhDWdC9TwU3J0ftfW0qm3BC/7m1xvEo1sm9dpcOZACfs74t2pj9BOnV4j4IwdubaKHzyMWRcO0CCUzTl9odnhPPpFWsoomKawipzIK7NYRRsBxm9QNkaUlovxFMk1ylwc6TDXrr9asvZZ9Hbr8VGYlHxlHA/gjhtmzXCZGRprCg05pqryf4fx7/c2Xnvxdl7bVj/xKib11MARtnXF9h8lBH7QR0zKndHWkP6eYpAisDxFYHEQj+Onmc2E8wlMr2d2yufRWe/lh2tL7aiJRKt1tFTXidQ80fZ0s1kmM2RDW2JJ7WEqtbRhrQR2WHt8OsxCyMrvaIknIpxzLIliZmD214uRCddr+98MuCNbAj0C9e04wTG1CTHzeVrR9W6AeSjBxZFwxNLzzKy//TSYuavV9Mbrg2Tu1342Kld4qhbtvcrmW065in/8+w8SvF5YQnCMUWs92bcyHQc+zql/JPQGd+IBOuy4q2R9Oao3GtsHKhaQ2irE722p6GtriKdzPUjHYrVfPuqQZElLonOmDoC9h1U5UZhNqOPuuzw7oXNwu+enxcK2Kx8AMMTiXkeVjLcXPz+ReIIeBfzDNzcuDHoVpiHhGs/NjWoqpGRpyNFIEXgvRGBBODHwXP2l7jksDVYYNYne20Js7oBmVxlv8oPzp7NSfdn0Xyi6ckGxqOy4Ly+VKnOsphNO2+tgpjgYllbxngbPtobbo3JiYIi9SFbmefai45mJICo4PMCI2NKpjovnbswQbUt7/1/VwwITRo1IMstCW9g4TkNJngZYNqA96s0thd/77bN8CCndO1moaBJozCQmWdtOCcyS645y0XMVGsz+v3HZmI/uiWOqBmHE7AtvWlUr6it7sVldW+Hla5Yyj2QySzDC3xm3MZScO1Ddn1mn7bIxeZF8RYJZRMWrY89byVkfY1xWEvMrRZ4zuwMeO4/KTcnlt2VeL0d1ns7KgxZkN0WS+rzULQrZiytQdzonMtImQ5jaqpLQMvFYzc44+atCz98YjajdW9WNGwzqJd+y3l9aENk+ui5a0ifpwikCByfEUgl9Br+XAUSxUL+d8z8MANHLsFBJbRPnNENYlSDCDS85MBHs+itOwBowNjytqVugXnt5jKyul1k0bsw+aibAeWYQTdACa1lzKoF6bz6gCggLvB6LQEm92NF4awLGesMerclSIP+HfZ3aZm2m2TbgHMzxFic924BWOWzAWiBKpu9YLNkpVKVJJ1K2XzOytKwk7Xn8S+2MQSvxTDLVzI7LXDm87UGKb9kTK0h2e0ifhbJZaxNYpqEsa/9fWr47Hm9DESc7V6wditWniU4l/EtNhw6mEn2unhQUbQgFeCVWLXfbIlcZzNlXM2e6zF3Prp/UZQ5XUt14EzuTU76ywi2eD13RFm98U6tGocrkDe9G2W2b2B+8hUkY91s6Dpmdn3dGV2j4ltzbmzais1k/csi67w5I2fGNvfwOcradywu93Du3pK6m490pAikCLx3IpAAvIY/a8uof8Gs4o2lGw+wvJ+ftS6qhw1kFEp7zdiTRvVrHSVYPbEFgpZm0fmNommGCmFD8f0uBKDNFDXaeDOLBqBJI8WS7Me3EzLBSl/uU9APn8ZGYwuM7HYYkHSlZPzbMXPCk9NWhUsBOgFTwJfM1rh13ZhRWwbXFW0hHtbTuE+9wwX+9gV5cdbZjcgiSHLOekv8IlE96DAzXgIx7TsPTofdjdEIuucD+HP5ie3jPPav8ed2vMze+7Mw0M9lHntu8eYoSLNt355Yqi9hY2OJfgTksw+c1DH85Mm5iLJsh1jWPlzOujcQX7kA0wFhFdWGIiNrH30g7PAmbDC83ncfmRm+ef90dN/7RnlYSXO2HD4wvEP440uLgv8xWq3ozXy4JLnyh4CuIExUUHszAY+bKUv82RZB+felr1MEUgSOzwikEnoNf64ymz/521djTzT3VvIb1wsDAYI2gjSl7ljmjhl1w2guIhiVz56zX+ee553+3IpBpkydGZcyXV0K4eynT81GB7wLG4mCCsHLdVg9MDM349zIRmQGYDmN7NxecsN69chsG4Wx89Yw9sWLy2WvDciuP3FmNwxVSmMP+aLBHaKOuzKpbgDUJl9Hz1sNd8v4m9hgXMpo2uLi0jAFURclXlvRl//m5YPDj5/ktfT/rxhWBJGubQR4ncb0Sx9BNv7t+6eFy07shCta0YGStpsmldt+QHnfEbVbR/fhWhmg3kzf/ta/vh5HwtzA/PjDJ0TJ2GypPfsMPMd62gf/STVhIRUE59R9jaNleqm/r5xSW/Z96WOKQIrA8RmBpIVew5+r2aVs5E0ofWUPDUdO69EqkrIkY8niluBk39oMVFcxsz+zPIHcP5kyeDnUy57wHfwYS+851/S6TSjZWz6/FwZ5v6LmBxHOci/ta2WbW+pWuKUrBLYTu7YKo1ApU4t9PtKt9qMr6kV7nt3IrZ7aE5EWjFXsM09AHa4lMVHIpUfbJrFPL0FMmVclXmdrloJJiC5n9ZhBG0lPXNewjcT6QxDM8ilzZ01Lrh3RlRGvQqxE68VqQu92zfDobhZj67XdHNmfPpGy/AI2EY8wv15UgA0q5DnH0sbAht9Clm8ffi2tg5MQlfEZ5R6eQ7GWhpTw5yMso+BLF6onsuF1etM8xg1JysRzo5Y+TxE4fiOQALyGP1shVwCcxpy0mtySzFpTmr7hrO7RLUsQyAL0sQLpow2p69Oys4Ry/4tz1uLF3RwSnmX8yo9sD74uBC5VypQNfYn3mp3Dn4tscbN7QU+Sl/PcGzj/BEbNpi7fGEvzhVQnHoRFvhohFZncM+mzq1Uee8m80ZayWa8L8fNFiLiUsQl4H5n5PADUsvz7T+yIslv7WOkw1s6fP4ZXuGXw3mi6e2/Zw7W4edJr3Az+IaxCG7H2iQjLNGlUB631xrGUv5ZKwMi+bSjvHwrGEtmegbFupeJzo3qH8/BhH4bIjVWMCai2qVSnY9qbV81ePX1MEUgRON4ikAC8hj9R+6H6Q/cl42sGSOlG9XFcvLphwVmZMld1vOWo5819TIBwplOXhiblM9DK1m1ZfgUApm2pgGl5Wty05N4FU5KzYGgPoDQuGFuu9meL6afPgcRmtULddIVeVlLa9lyVoR/V+2B73lK4Wf9HTu0ce9mCcjbrFWB1LdNQxSw8F8Bdv8Dq6wegImf74x6qDitZuyz503q2ogfPbDe9/FKy/GFdWx7UTnBpG9mE3DN+Sby2mx5jpOlKj8ImOLttgJi3NfTjupLt0pEikCJwfEcgkdiOg+drf3cQWZ3z0QKEWanZdk06XG1TStLXYKH506dn0wPOQyv80DJyRfck41z7z8ZkrM5UDwIc1TKX0OZ5ZXx7XD4MdTZ62aq6yfiewEjWekfmYJLL7AYfD394MkD8pO4F4RzGvcz6387haRSfuYjsWWvSEkr2jrRdMawTpfmO4Xcos41fsCFcc/rO0KYuZi++gcP+vyI23QDrVmi3ZzcN/ljW+nUIv/zymblsRlbin94+SqzGN6a/UgRSBI7LCBzcZDsub/G9cVNmegK5/eGaBt7ZJ+S626P9ffVJnaN16HKUy2JGnH1BJR+3Mp42lp72DvrWI1E5k03uHzXCZb8bE//4eStEZk6GH/AB7DwvGdYhFDK+Fh3RsihZyTWy3wbnw0LK54eLsYDqZsCMubLDrN9suxdiNR+nf/78nHXhL+MWQYRrSXm/cRxH017UKYPs4ee6up0KE758dUIwb81kwfUQ9aYgOatVq737dKQIpAgcvxFIAH78PtsaeWeW0gdi9nEqIPtnRqtKyJAPg4Ox523pWKDXPzszP70/ZS0XAV/jqNlkhGJ++vScMJMZ85tG9Yxz2vbJ38qhCI7z8nqUC6iWzC3Vlwfrw63ZdUhCe5Xe94dP6RTOR0nuBlzRXqN98EfkUj+MclxdNhwvUCHYCrHNc/me5SjG2ce3/G6VpfxhO6UDbQjZ9k/PWEm/f/1BG4Dyr09fpwikCNTsCLy9GmDNvue0+moeAUepLkRQZSkypg/Q1/7QKZ0rLQfrFvbMjLUR5M7pX0hmemjvVwBUi11b0Ydhf69iHv4izm+J3n54KXPb2XL0kULjudYz8/3LZ+dG3fZ2VAzaQz5r21yRm/pR4c1zKAyTBfbc5F6gV45Wh7HRA9pEKVcrJ6d2b83764SfodFezKhYb5jlitjcj/DNlTDePV6eWwx5reUBedX4zXJ/2S7oQf/9GjYBf355MbwIXcwYV9vfRij38vRlikCKQA2OQALwGvzwjuelN2VM7CMA938/NRd29fowgvGvegBd7mFWurR4C2YkW8Mo+skFSMjmgqWvVRpWwH0SG1H7x2dQYv/YiC5xFt73z1ldGiYzS25m/VYOSW8nQy5zZEwNeBXdXp67Pm4K1GovYNZeotkCRtp0EevQsmEEdjcKgmtkkc9cE8lpmrEI3h6OqQ2i8vDlS/qF7z06K+zdujv28B94Y3l4bQka7GT5JRDbPj2yB339Q7Pv3LVbXh/QoSBcNnQ3Gf2icBN+4pq+lCfU5b4nfZ4ikCJQ8yKQALzmPbP3xIoF4jbohlti1pxE/+8ebZod1Hu2hC0wY8wdRkMqq69f6P7D7LeU3viLeH4/M2NV6MtMttacAmwxwi1PM4r1+qJizlc7+nMPB5T1CRdgD3cIjsOZ0T4JRTlBmctE8N/FWjaSWctun4lS3OqSHTHLXsu1BHZHxNogqFMPdriEtRvOAoi5SUvxArv3a1/de/zqZf3DV/8xlSx+H7KulNuZ8Y4H1/rNiwuoRtSGSNc6MugrW6scgNPY9Kg9/7uxC8LNjJxFHXYXnY4UgRSB4yICCcCPi8d4fN6EZd/+MOslpv2VcvDNo3tDQstk2SbMjoRNXLQJoEKrHWAWEAVu9cjtcz9E9toYtve1p3WOrG0dyF4DtDfQwx6CwYl68V0xJjGrXoWu+kpK60uQZPUchxx8qy4bhFYQxZ6avjIMQQzGz7OldxRRmeVGy71xgyiWczIAf+nQ9oqlRWBfgSCMnuhPT18d8+df4++dxwx4keV3JGwtxWtn2oYZ/macTMBXr15ufG5xYANZ/5+QznVETbOTwx36q48a0BZhml3hdwD/Tef0IE5vstoP9970sxSBFIHqH4EE4NX/Gb2nV+jM9HkD28Z++P2vLQ8fAYx19zL7fg6mdaiNsMoJ7SMrWwMSjUyc6RaQz0PT3LLx87PXhQWQxvogrnIe+uT2hGWoZ5XoDHBHXMz+jQ2Cuujz1miGkvE4FzwFeBXSuvCahZTGmzWqG+6EMX79yJ5RRCf7gMygY5kab3M5Zoq0RNU4gL01wKmveHvkXm/BVEVVto0Q9DQnWYWQjKX4sZTiV+NuZpa/hEzeEn/5w++s5PWusTmbhSOVxR2tu2JY+/AHSun2xK9H4KeZRinlT5y+ThFIEahxEUgAXuMe2XtvwcqDSmT74WOzwqOTV5GR7o395/Eoj3VHTrUpGauA/QgCKhMZs+oPS1vHr4dROjPDPalbQbiGvndz3NnsowvI5Q+z/V6Ix3zt8oEoo60Pk9E/XwfgKpLSFRnaET1bhzYIp9w1fnF4lpK82uhPTF0ZzUzKW3jGrLncBdbh9vYsve/PnN09Zs4Cr3KwHfAj18AkW4p39GsKSnE/eHQ2fe8cx5Kc86kUZz9cgK/cNDbzBu+0KWYq17Dx+R8c6+7DPtVYNkHyNR0pAikCNTsCCcBr9vN7T6zeMnUBLmmC6F9eWRz7xmqaCXxNyIZlao9FRrUpma6N6aXYq56M5rgyp22RS42gTVZ7KGwfHD7HsBxDG9m3LfanbWP52vq1inaCvuu49tSuzJvjbz53DZn+MgC4UVRMy53L9kq5VXiV1WSdO7/dkx53NmuOs+Qsqk50XwvBPvpuSPR7+FiL61V2WDnQOS6+v7IX5XyfZRO/huE6DE/ueGY+G4/VMOCtTmR67/UpF3jOdKQIpAjUrAgkAK9Zz+s9u1rV1p7B6nML/dwMzSxTXtaVSy1zTVr60BcW5LvT17Z0/XYV6QRjEu8KD/vclqEt4b+8YB1Z7YLwVTJzs/RcQDUL97AU/ypVgfUw06+j525LIPfwVZ5LMpul/iemroh2pPlsTHbBoC9vzOJGQtlUR8WyG4Hc81X2uSCu7/r1Z3WNLHdnxFcjHZvH/Vw2pCic3bddFL+p7P3p+ykCKQLVLwIJwKvfM0krKhcBS8VrIJgthwhWniPu+Fdr2N3fev8gvMwbRtA+GmArd6kjfmlebKZ/I4SwHYDza4uLwx3Pzg9fwuO7Fdf3qEVfHhuVyE63DC+ZTrvPFriHZfNq70ngLoGI98CkFeGVuesYGwtI4uaHD53cmc3AvnhevdPNzK04uCEx4/80Y2G2FY72qAOKt8F5TfLdJFoEGq/UYn2/QbrVcv6pPVof1abgaK+fXp8ikCLwzkbg6H8LvLPXT2dLEThiBAQ9wcsssvxhWVsyVz5/HJ06FofLkAh2CypuP3hsd5ixcnNUjXNG2/60WbXGJ1swKxGc1anvi02qG4ssS34lPfu/vboUy9JNoWGduuEczFEuwdVMfXVL/s56/wcz4c7AT1++OfbDuxc2C2f0ahUKYJ9b7j/aw82ODP3ZqzYfGJfjW9FUxSrBiYzSZcv5R3vu9PoUgRSBYx+BBODHPubpikcZAUHakanebZui803mmNNgVghlOCS1iohpR3mZo3q58Omm4QsX9wvfenB61ChvzSibhLFNW3axzmJ65yGC5VcuHQDgosC2fXeYik75/ajLyTxvSeXgk2f0DMPp10uEywD3m8vIh5w3kvn2M+nHe3iObC/+zVe99c+Mo+z4OsSs/OH3jn5LUP4s6esUgRSBYxmBWuzKTRjSkSJQrSNgZjt3zebws6fmhGWW0vlnK/HqNDTTb6Sk/G6NRvlfz4atO8IX75lCT3lbjKGlcTPk+qxPcP4UmfnL89YyP746Zruqon0QedRuWJ02QNilIl3zqnoYSsr+8aWF0fJ0O+t0Tr15Xt3wJTYigzoWpBJ6VQU+nTdFoAoikAC8CoKaTlk1ERDEN23bEa1ANyKP2oURsl6wuhtRdn43s8cyQPG/Hp6OktuGQ0RgzJibokfeEKAe1rlFuGp4h1hN0K+7Knv1lT0Bd+ubmT9/YtqqKGpj7C5BF35I54JI/Kvsfen7KQIpAtUvAgnAq98zSSs6TAQsGEn28uMB4ZTDvL6qf2QGvra0LNz0p9cie7z89ezb94QV/80rBiIAUy/Olb+bm43s+qwS7GHxZuA6nx3rFkR2HeljikCKwNuPQOqBv/3YpXe+CxGwj5uRPK8OMKjvd8aiNMMUPzQgrrIJcq5NGHMrP0J26KuP3Xccs0tHikCKQM2OQPqvuGY/v7T6dzkCVgHyyax1T6toS+HP2yPBmjsj/i4vOV0+RSBF4DiJQALw4+RBptt49yKgLOko9Nr1MY8zZPuXIqC3aFI/jOrXJuqbv3srTFdOEUgROB4jkErox+NTTfd0TCPg+NeVQzsgsbo72pTukN3NCpQ7/fjp3ZBPbfq25raP6U2ki6UIpAjUuAgkEluNe2RpwdUxArK7HdFai2mJnuCNcS/r2iovzoofyzGx6hibtKYUgRSBqolAAvCqiWs663s0As6ny0z3UCxN0l06UgRSBFIEqiICCcCrIqrpnCkCKQIpAikCKQJVHIFEYqviAKfTpwikCKQIpAikCFRFBBKAV0VU0zlTBFIEUgRSBFIEqjgCCcCrOMDp9CkCKQIpAikCKQJVEYEE4FUR1XTOFIEUgRSBFIEUgSqOQALwKg5wOn2KQIpAikCKQIpAVUQgAXhVRDWdM0UgRSBFIEUgRaCKI5AAvIoDnE6fIpAikCKQIpAiUBURSABeFVFN50wRSBFIEUgRSBGo4ggkAK/iAKfTpwikCKQIpAikCFRFBBKAV0VU0zlTBFIEUgRSBFIEqjgC/z8RbsS7lBiMDAAAAABJRU5ErkJggg==" alt="sigma" data-toggle="tooltip" data-placement="right" title data-original-title="Note this is just an image of the visualization so it's not interactive. You can play with the interactive version by following the steps in the demo section below." onload="$(this).tooltip()"></p>
<p>Note that the above is just an image of the visualization so it’s not interactive. You can play with the interactive version by following the steps in the demo section below.</p>
<p>There is remarkably little code required to create this binding. Below we’ll go through all of the components step-by-step. Then we’ll describe how you can create your own widgets (including automatically generating basic scaffolding for all of the core components).</p>
<div id="file-layout" class="section level3">
<h3>File layout</h3>
<p>Let’s assume that our widget is named <strong>sigma</strong> and is located within an R package of the same name. Our JavaScript binding source code file is named sigma.js. Since our widget will read GEXF data files we’ll also need to include both the base sigma.min.js library as well as its GEXF plugin. Here are the files that we’ll add to the package:</p>
<pre class="text"><code>R/
| sigma.R

inst/
|-- htmlwidgets/
|   |-- sigma.js
|   |-- sigma.yaml
|   |-- lib/
|   |   |-- sigma-1.0.3/
|   |   |   |-- sigma.min.js
|   |   |   |-- plugins/
|   |   |   |   |-- sigma.parsers.gexf.min.js</code></pre>
<p>Note the convention that the JavaScript, YAML, and other dependencies are all contained within the <code>inst/htmlwidgets</code> directory (which will subsequently be installed into a package sub-directory named <code>htmlwidgets</code>).</p>
</div>
<div id="dependencies" class="section level3">
<h3>Dependencies</h3>
<p>Dependencies are the JavaScript and CSS assets used by a widget. Dependencies are included within the <code>inst/htmlwidgets/lib</code> directory. Dependencies are specified using a YAML configuration file which uses the name of the widget as its base file name. Here’s what our <strong>sigma.yaml</strong> file looks like:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode yaml"><code class="sourceCode yaml"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="fu">dependencies:</span></a>
<a class="sourceLine" id="cb3-2" data-line-number="2">  <span class="kw">-</span> <span class="fu">name:</span><span class="at"> sigma</span></a>
<a class="sourceLine" id="cb3-3" data-line-number="3">    <span class="fu">version:</span><span class="at"> 1.0.3</span></a>
<a class="sourceLine" id="cb3-4" data-line-number="4">    <span class="fu">src:</span><span class="at"> htmlwidgets/lib/sigma-1.0.3</span></a>
<a class="sourceLine" id="cb3-5" data-line-number="5">    <span class="fu">script:</span><span class="at"> </span></a>
<a class="sourceLine" id="cb3-6" data-line-number="6">      <span class="kw">-</span> sigma.min.js</a>
<a class="sourceLine" id="cb3-7" data-line-number="7">      <span class="kw">-</span> plugins/sigma.parsers.gexf.min.js</a></code></pre></div>
<p>The dependency <code>src</code> specification refers to the directory that contains the library and <code>script</code> refers to specific JavaScript files. If your library contains multiple JavaScript files specify each one on a line beginning with <code>-</code> as shown here. You can also add <code>stylesheet</code> entries and even <code>meta</code> or <code>head</code> entries. Multiple dependencies may be specified in one YAML file. See the documentation on the <code>htmlDependency</code> function in the <a href="https://cran.r-project.org/package=htmltools"><strong>htmltools</strong></a> package for additional details.</p>
</div>
<div id="r-binding" class="section level3">
<h3>R binding</h3>
<p>We need to provide users with an R function that invokes our widget. Typically this function will accept input data as well as various options that control the widget’s display. Here’s the R function for <code>sigma</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"><span class="co">#' @import htmlwidgets</span></a>
<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="co">#' @export</span></a>
<a class="sourceLine" id="cb4-3" data-line-number="3">sigma &lt;-<span class="st"> </span><span class="cf">function</span>(gexf, <span class="dt">drawEdges =</span> <span class="ot">TRUE</span>, <span class="dt">drawNodes =</span> <span class="ot">TRUE</span>,</a>
<a class="sourceLine" id="cb4-4" data-line-number="4">                  <span class="dt">width =</span> <span class="ot">NULL</span>, <span class="dt">height =</span> <span class="ot">NULL</span>) {</a>
<a class="sourceLine" id="cb4-5" data-line-number="5">  </a>
<a class="sourceLine" id="cb4-6" data-line-number="6">  <span class="co"># read the gexf file</span></a>
<a class="sourceLine" id="cb4-7" data-line-number="7">  data &lt;-<span class="st"> </span><span class="kw">paste</span>(<span class="kw">readLines</span>(gexf), <span class="dt">collapse=</span><span class="st">&quot;</span><span class="ch">\n</span><span class="st">&quot;</span>)</a>
<a class="sourceLine" id="cb4-8" data-line-number="8">  </a>
<a class="sourceLine" id="cb4-9" data-line-number="9">  <span class="co"># create a list that contains the settings</span></a>
<a class="sourceLine" id="cb4-10" data-line-number="10">  settings &lt;-<span class="st"> </span><span class="kw">list</span>(</a>
<a class="sourceLine" id="cb4-11" data-line-number="11">    <span class="dt">drawEdges =</span> drawEdges,</a>
<a class="sourceLine" id="cb4-12" data-line-number="12">    <span class="dt">drawNodes =</span> drawNodes</a>
<a class="sourceLine" id="cb4-13" data-line-number="13">  )</a>
<a class="sourceLine" id="cb4-14" data-line-number="14">  </a>
<a class="sourceLine" id="cb4-15" data-line-number="15">  <span class="co"># pass the data and settings using 'x'</span></a>
<a class="sourceLine" id="cb4-16" data-line-number="16">  x &lt;-<span class="st"> </span><span class="kw">list</span>(</a>
<a class="sourceLine" id="cb4-17" data-line-number="17">    <span class="dt">data =</span> data,</a>
<a class="sourceLine" id="cb4-18" data-line-number="18">    <span class="dt">settings =</span> settings</a>
<a class="sourceLine" id="cb4-19" data-line-number="19">  )</a>
<a class="sourceLine" id="cb4-20" data-line-number="20">  </a>
<a class="sourceLine" id="cb4-21" data-line-number="21">  <span class="co"># create the widget</span></a>
<a class="sourceLine" id="cb4-22" data-line-number="22">  htmlwidgets<span class="op">::</span><span class="kw">createWidget</span>(<span class="st">&quot;sigma&quot;</span>, x, <span class="dt">width =</span> width, <span class="dt">height =</span> height)</a>
<a class="sourceLine" id="cb4-23" data-line-number="23">}</a></code></pre></div>
<p>The function takes two classes of input: the GEXF data file to render and some additional settings which control how it is rendered. This input is collected into a list named <code>x</code> which is then passed on to the <code>htmlwidgets::createWidget</code> function. This <code>x</code> variable will subsequently be made available to the JavaScript binding for sigma (this is described below). Any width or height parameter specified is also forwarded to the widget (widgets size themselves automatically by default so typically don’t require an explicit width or height).</p>
<p>We want our sigma widget to also work in Shiny applications, so we add the following boilerplate Shiny output and render functions (these are always the same for all widgets):</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="co">#' @export</span></a>
<a class="sourceLine" id="cb5-2" data-line-number="2">sigmaOutput &lt;-<span class="st"> </span><span class="cf">function</span>(outputId, <span class="dt">width =</span> <span class="st">&quot;100%&quot;</span>, <span class="dt">height =</span> <span class="st">&quot;400px&quot;</span>) {</a>
<a class="sourceLine" id="cb5-3" data-line-number="3">  htmlwidgets<span class="op">::</span><span class="kw">shinyWidgetOutput</span>(outputId, <span class="st">&quot;sigma&quot;</span>, width, height, <span class="dt">package =</span> <span class="st">&quot;sigma&quot;</span>)</a>
<a class="sourceLine" id="cb5-4" data-line-number="4">}</a>
<a class="sourceLine" id="cb5-5" data-line-number="5"><span class="co">#' @export</span></a>
<a class="sourceLine" id="cb5-6" data-line-number="6">renderSigma &lt;-<span class="st"> </span><span class="cf">function</span>(expr, <span class="dt">env =</span> <span class="kw">parent.frame</span>(), <span class="dt">quoted =</span> <span class="ot">FALSE</span>) {</a>
<a class="sourceLine" id="cb5-7" data-line-number="7">  <span class="cf">if</span> (<span class="op">!</span>quoted) { expr &lt;-<span class="st"> </span><span class="kw">substitute</span>(expr) } <span class="co"># force quoted</span></a>
<a class="sourceLine" id="cb5-8" data-line-number="8">  htmlwidgets<span class="op">::</span><span class="kw">shinyRenderWidget</span>(expr, sigmaOutput, env, <span class="dt">quoted =</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb5-9" data-line-number="9">}</a></code></pre></div>
</div>
<div id="javascript-binding" class="section level3">
<h3>JavaScript binding</h3>
<p><em><strong>Note:</strong> An older, less intuitive JavaScript binding API was used in htmlwidgets 0.5.2 and earlier, and continues to be supported in newer versions of htmlwidgets. See this <a href="https://cdn.rawgit.com/ramnathv/htmlwidgets/f735840bf938d35d3c4143c0d16515da6ff252bd/develop_intro.html#javascript-binding">archived version</a> for details on the legacy binding API. New widgets are encouraged to use the newer API described below.</em></p>
<p>The third piece in the puzzle is the JavaScript required to activate the widget. By convention we’ll define our JavaScript binding in the file <code>inst/htmlwidgets/sigma.js</code>. Here is the full source code of the binding:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode javascript"><code class="sourceCode javascript"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="va">HTMLWidgets</span>.<span class="at">widget</span>(<span class="op">{</span></a>
<a class="sourceLine" id="cb6-2" data-line-number="2"></a>
<a class="sourceLine" id="cb6-3" data-line-number="3">  <span class="dt">name</span><span class="op">:</span> <span class="st">&quot;sigma&quot;</span><span class="op">,</span></a>
<a class="sourceLine" id="cb6-4" data-line-number="4">  </a>
<a class="sourceLine" id="cb6-5" data-line-number="5">  <span class="dt">type</span><span class="op">:</span> <span class="st">&quot;output&quot;</span><span class="op">,</span></a>
<a class="sourceLine" id="cb6-6" data-line-number="6">  </a>
<a class="sourceLine" id="cb6-7" data-line-number="7">  <span class="dt">factory</span><span class="op">:</span> <span class="kw">function</span>(el<span class="op">,</span> width<span class="op">,</span> height) <span class="op">{</span></a>
<a class="sourceLine" id="cb6-8" data-line-number="8">  </a>
<a class="sourceLine" id="cb6-9" data-line-number="9">    <span class="co">// create our sigma object and bind it to the element</span></a>
<a class="sourceLine" id="cb6-10" data-line-number="10">    <span class="kw">var</span> sig <span class="op">=</span> <span class="kw">new</span> <span class="at">sigma</span>(<span class="va">el</span>.<span class="at">id</span>)<span class="op">;</span></a>
<a class="sourceLine" id="cb6-11" data-line-number="11">    </a>
<a class="sourceLine" id="cb6-12" data-line-number="12">    <span class="cf">return</span> <span class="op">{</span></a>
<a class="sourceLine" id="cb6-13" data-line-number="13">      <span class="dt">renderValue</span><span class="op">:</span> <span class="kw">function</span>(x) <span class="op">{</span></a>
<a class="sourceLine" id="cb6-14" data-line-number="14">          </a>
<a class="sourceLine" id="cb6-15" data-line-number="15">        <span class="co">// parse gexf data</span></a>
<a class="sourceLine" id="cb6-16" data-line-number="16">        <span class="kw">var</span> parser <span class="op">=</span> <span class="kw">new</span> <span class="at">DOMParser</span>()<span class="op">;</span></a>
<a class="sourceLine" id="cb6-17" data-line-number="17">        <span class="kw">var</span> data <span class="op">=</span> <span class="va">parser</span>.<span class="at">parseFromString</span>(<span class="va">x</span>.<span class="at">data</span><span class="op">,</span> <span class="st">&quot;application/xml&quot;</span>)<span class="op">;</span></a>
<a class="sourceLine" id="cb6-18" data-line-number="18">        </a>
<a class="sourceLine" id="cb6-19" data-line-number="19">        <span class="co">// apply settings</span></a>
<a class="sourceLine" id="cb6-20" data-line-number="20">        <span class="cf">for</span> (<span class="kw">var</span> name <span class="kw">in</span> <span class="va">x</span>.<span class="at">settings</span>)</a>
<a class="sourceLine" id="cb6-21" data-line-number="21">          <span class="va">sig</span>.<span class="at">settings</span>(name<span class="op">,</span> <span class="va">x</span>.<span class="at">settings</span>[name])<span class="op">;</span></a>
<a class="sourceLine" id="cb6-22" data-line-number="22">        </a>
<a class="sourceLine" id="cb6-23" data-line-number="23">        <span class="co">// update the sigma object</span></a>
<a class="sourceLine" id="cb6-24" data-line-number="24">        <span class="va">sigma</span>.<span class="va">parsers</span>.<span class="at">gexf</span>(</a>
<a class="sourceLine" id="cb6-25" data-line-number="25">          data<span class="op">,</span>          <span class="co">// parsed gexf data</span></a>
<a class="sourceLine" id="cb6-26" data-line-number="26">          sig<span class="op">,</span>           <span class="co">// sigma object</span></a>
<a class="sourceLine" id="cb6-27" data-line-number="27">          <span class="kw">function</span>() <span class="op">{</span></a>
<a class="sourceLine" id="cb6-28" data-line-number="28">            <span class="co">// need to call refresh to reflect new settings and data</span></a>
<a class="sourceLine" id="cb6-29" data-line-number="29">            <span class="va">sig</span>.<span class="at">refresh</span>()<span class="op">;</span></a>
<a class="sourceLine" id="cb6-30" data-line-number="30">          <span class="op">}</span></a>
<a class="sourceLine" id="cb6-31" data-line-number="31">        )<span class="op">;</span></a>
<a class="sourceLine" id="cb6-32" data-line-number="32">      <span class="op">},</span></a>
<a class="sourceLine" id="cb6-33" data-line-number="33">      </a>
<a class="sourceLine" id="cb6-34" data-line-number="34">      <span class="dt">resize</span><span class="op">:</span> <span class="kw">function</span>(width<span class="op">,</span> height) <span class="op">{</span></a>
<a class="sourceLine" id="cb6-35" data-line-number="35">        </a>
<a class="sourceLine" id="cb6-36" data-line-number="36">        <span class="co">// forward resize on to sigma renderers</span></a>
<a class="sourceLine" id="cb6-37" data-line-number="37">        <span class="cf">for</span> (<span class="kw">var</span> name <span class="kw">in</span> <span class="va">sig</span>.<span class="at">renderers</span>)</a>
<a class="sourceLine" id="cb6-38" data-line-number="38">          <span class="va">sig</span>.<span class="at">renderers</span>[name].<span class="at">resize</span>(width<span class="op">,</span> height)<span class="op">;</span>  </a>
<a class="sourceLine" id="cb6-39" data-line-number="39">      <span class="op">},</span></a>
<a class="sourceLine" id="cb6-40" data-line-number="40">      </a>
<a class="sourceLine" id="cb6-41" data-line-number="41">      <span class="co">// Make the sigma object available as a property on the widget</span></a>
<a class="sourceLine" id="cb6-42" data-line-number="42">      <span class="co">// instance we're returning from factory(). This is generally a</span></a>
<a class="sourceLine" id="cb6-43" data-line-number="43">      <span class="co">// good idea for extensibility--it helps users of this widget</span></a>
<a class="sourceLine" id="cb6-44" data-line-number="44">      <span class="co">// interact directly with sigma, if needed.</span></a>
<a class="sourceLine" id="cb6-45" data-line-number="45">      <span class="dt">s</span><span class="op">:</span> sig</a>
<a class="sourceLine" id="cb6-46" data-line-number="46">    <span class="op">};</span></a>
<a class="sourceLine" id="cb6-47" data-line-number="47">  <span class="op">}</span></a>
<a class="sourceLine" id="cb6-48" data-line-number="48"><span class="op">}</span>)<span class="op">;</span></a></code></pre></div>
<p>We provide a name and type for the widget, plus a <code>factory</code> function that takes <code>el</code> (the HTML element that will host this widget), <code>width</code>, and <code>height</code> (width and height of the HTML element, in pixels–you can always use <code>offsetWidth</code> and <code>offsetHeight</code> for this).</p>
<p>The <code>factory</code> function should prepare the HTML element to start receiving values. In this case we create a new sigma element and pass it the <code>id</code> of the DOM element that hosts the widget on the page.</p>
<p>We’re going to need access to the sigma object later (to update its data and settings) so we save it as a variable <code>sig</code>. Note that variables declared directly inside of the factory function are tied to a particular widget instance/<code>el</code>.</p>
<p>The return value of the <code>factory</code> function is called a <em>widget instance object</em>. It is a bridge between the htmlwidgets runtime, and the JavaScript visualization that you’re wrapping. As the name implies, each widget instance object is responsible for managing a single widget instance on a page.</p>
<p>The widget instance object you create must have one required method, and may have one optional method:</p>
<ol style="list-style-type: decimal">
<li><p>The required <code>renderValue</code> method actually pours our dynamic data and settings into the widget’s DOM element. The <code>x</code> parameter contains the widget data and settings. We parse and update the GEXF data, apply the settings to our previously-created <code>sig</code> sigma object, and finally call <code>refresh</code> to reflect the new values on-screen. This method may be called repeatedly with different data (i.e. in Shiny), so be sure to account for that possibility. If it makes sense for your widget, consider making your visualization transition smoothly from one value of <code>x</code> to another.</p></li>
<li><p>The optional <code>resize</code> method is called whenever the element containing the widget is resized. The only reason not to implement this method is if your widget naturally scales (without additional JavaScript code needing to be invoked) when its element size changes. In the case of sigma.js, we forward the sizing information on to each of the underlying sigma renderers.</p></li>
</ol>
<p>All JavaScript libraries handle initialization, binding to DOM elements, dynamically updating data, and resizing slightly differently. Most of the work on the JavaScript side of creating widgets is mapping these three functions—<code>factory</code>, <code>renderValue</code>, and <code>resize</code>—correctly onto the behavior of the underlying library.</p>
<p>The sigma.js example uses a simple object literal to create its widget instance object, but you can also use <a href="https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Classes">class based objects</a> or any other style of object, as long as <code>obj.renderValue(x)</code> and <code>obj.resize(width, height)</code> can be invoked on it.</p>
<p>You can add additional methods and properties on the widget instance object. Although they won’t be called by htmlwidgets itself, they might be useful to users of your widget that know some JavaScript and want to further customize your widget by adding custom JS code (e.g. using the <code>htmlwidgets::onRender</code> R function). In this case we add an <code>s</code> property to make the sigma object itself available.</p>
</div>
<div id="demo" class="section level3">
<h3>Demo</h3>
<p>Our widget is now complete! If you want to test drive it without reproducing all of the code locally you can install it from GitHub as follows:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">devtools<span class="op">::</span><span class="kw">install_github</span>(<span class="st">'jjallaire/sigma'</span>)</a></code></pre></div>
<p>Here’s the code to try it out with some sample data included with the package:</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">library</span>(sigma)</a>
<a class="sourceLine" id="cb8-2" data-line-number="2"><span class="kw">sigma</span>(<span class="kw">system.file</span>(<span class="st">&quot;examples/ediaspora.gexf.xml&quot;</span>, <span class="dt">package =</span> <span class="st">&quot;sigma&quot;</span>))</a></code></pre></div>
<p>If you execute this code in the R console you’ll see the widget displayed in the RStudio Viewer (or in an external browser if you aren’t running RStudio). If you include it within an R Markdown document the widget will be embedded into the document.</p>
<p>We can also use the widget in a Shiny application:</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1"><span class="kw">library</span>(shiny)</a>
<a class="sourceLine" id="cb9-2" data-line-number="2"><span class="kw">library</span>(sigma)</a>
<a class="sourceLine" id="cb9-3" data-line-number="3"></a>
<a class="sourceLine" id="cb9-4" data-line-number="4">gexf &lt;-<span class="st"> </span><span class="kw">system.file</span>(<span class="st">&quot;examples/ediaspora.gexf.xml&quot;</span>, <span class="dt">package =</span> <span class="st">&quot;sigma&quot;</span>)</a>
<a class="sourceLine" id="cb9-5" data-line-number="5"></a>
<a class="sourceLine" id="cb9-6" data-line-number="6">ui =<span class="st"> </span><span class="kw">shinyUI</span>(<span class="kw">fluidPage</span>(</a>
<a class="sourceLine" id="cb9-7" data-line-number="7">  <span class="kw">checkboxInput</span>(<span class="st">&quot;drawEdges&quot;</span>, <span class="st">&quot;Draw Edges&quot;</span>, <span class="dt">value =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb9-8" data-line-number="8">  <span class="kw">checkboxInput</span>(<span class="st">&quot;drawNodes&quot;</span>, <span class="st">&quot;Draw Nodes&quot;</span>, <span class="dt">value =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb9-9" data-line-number="9">  <span class="kw">sigmaOutput</span>(<span class="st">'sigma'</span>)</a>
<a class="sourceLine" id="cb9-10" data-line-number="10">))</a>
<a class="sourceLine" id="cb9-11" data-line-number="11"></a>
<a class="sourceLine" id="cb9-12" data-line-number="12">server =<span class="st"> </span><span class="cf">function</span>(input, output) {</a>
<a class="sourceLine" id="cb9-13" data-line-number="13">  output<span class="op">$</span>sigma &lt;-<span class="st"> </span><span class="kw">renderSigma</span>(</a>
<a class="sourceLine" id="cb9-14" data-line-number="14">    <span class="kw">sigma</span>(gexf, </a>
<a class="sourceLine" id="cb9-15" data-line-number="15">          <span class="dt">drawEdges =</span> input<span class="op">$</span>drawEdges, </a>
<a class="sourceLine" id="cb9-16" data-line-number="16">          <span class="dt">drawNodes =</span> input<span class="op">$</span>drawNodes)</a>
<a class="sourceLine" id="cb9-17" data-line-number="17">  )</a>
<a class="sourceLine" id="cb9-18" data-line-number="18">}</a>
<a class="sourceLine" id="cb9-19" data-line-number="19"></a>
<a class="sourceLine" id="cb9-20" data-line-number="20"><span class="kw">shinyApp</span>(<span class="dt">ui =</span> ui, <span class="dt">server =</span> server)</a></code></pre></div>
</div>
</div>
<div id="creating-your-own-widgets" class="section level2">
<h2>Creating your own widgets</h2>
<div id="requirements" class="section level3">
<h3>Requirements</h3>
<p>To implement a widget you need to create a new R package that in turn depends on the <strong>htmlwidgets</strong> package. You can install the package from CRAN as follows:</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw">install.packages</span>(<span class="st">&quot;htmlwidgets&quot;</span>)</a></code></pre></div>
<p>While it’s not strictly required, the step-by-step instructions below for getting started also make use of the <strong>devtools</strong> package which you can also install from CRAN:</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="kw">install.packages</span>(<span class="st">&quot;devtools&quot;</span>)</a></code></pre></div>
</div>
<div id="scaffolding" class="section level3">
<h3>Scaffolding</h3>
<p>To create a new widget you can call the <code>scaffoldWidget</code> function to generate the basic structure for your widget. This function will:</p>
<ul>
<li><p>Create the .R, .js, and .yaml files required for your widget;</p></li>
<li><p>If provided, take a <a href="https://bower.io/">Bower</a> package name and automatically download the JavaScript library (and its dependencies) and add the required entries to the .yaml file.</p></li>
</ul>
<p>This method is highly recommended as it ensures that you get started with the right file structure. Here’s an example that assumes you want to create a widget named ‘mywidget’ in a new package of the same name:</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1">devtools<span class="op">::</span><span class="kw">create</span>(<span class="st">&quot;mywidget&quot;</span>)               <span class="co"># create package using devtools</span></a>
<a class="sourceLine" id="cb12-2" data-line-number="2"><span class="kw">setwd</span>(<span class="st">&quot;mywidget&quot;</span>)                          <span class="co"># navigate to package dir</span></a>
<a class="sourceLine" id="cb12-3" data-line-number="3">htmlwidgets<span class="op">::</span><span class="kw">scaffoldWidget</span>(<span class="st">&quot;mywidget&quot;</span>)    <span class="co"># create widget scaffolding</span></a>
<a class="sourceLine" id="cb12-4" data-line-number="4">devtools<span class="op">::</span><span class="kw">install</span>()                        <span class="co"># install the package so we can try it</span></a></code></pre></div>
<p>This creates a simple widget that takes a single <code>text</code> argument and displays that text within the widgets HTML element. You can try it like this:</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" data-line-number="1"><span class="kw">library</span>(mywidget)</a>
<a class="sourceLine" id="cb13-2" data-line-number="2"><span class="kw">mywidget</span>(<span class="st">&quot;hello, world&quot;</span>)</a></code></pre></div>
<p>This is the most minimal widget possible and doesn’t yet include a JavaScript library to interface to (note that <code>scaffoldWidget</code> can optionally include JavaScript library dependencies via the <code>bowerPkg</code> argument). Before getting started with development you should review the introductory example above to make sure you understand the various components and also review the additional articles and examples linked to in the next section.</p>
</div>
<div id="learning-more" class="section level3">
<h3>Learning more</h3>
<div id="additional-articles" class="section level4">
<h4>Additional articles</h4>
<p>There are additional articles that cover more advanced ground:</p>
<ul>
<li><p><a href="develop_sizing.html">HTML Widget Sizing</a> explains custom sizing policies and when you might need to use them and describes implementing a <code>resize</code> method within JavaScript bindings.</p></li>
<li><p><a href="develop_advanced.html">HTML Widgets: Advanced Topics</a> describes framework features that support per-widget instance data, data transformations (e.g. converting a data frame into a d3 dataset), and providing widget options that are live JavaScript objects (e.g. function definitions).</p></li>
</ul>
<p>The Sizing article is particularly important as most JavaScript libraries require some additional interaction to keep their size synchronized with their containing element.</p>
</div>
<div id="examples" class="section level4">
<h4>Examples</h4>
<p>Studying the code of other packages is a great way to learn more about creating widgets:</p>
<ol style="list-style-type: decimal">
<li><p>The <a href="https://github.com/christophergandrud/networkD3">networkD3</a> package illustrates creating a widget on top of <a href="http://d3js.org">D3</a>, using a custom sizing policy for a larger widget, and providing multiple widgets from a single package.</p></li>
<li><p>The <a href="https://github.com/rstudio/dygraphs/">dygraphs</a> package illustrates using widget instance data, handling dynamic re-sizing, and using <a href="https://github.com/smbache/magrittr">magrittr</a> to decompose a large and flat JavaScript API into a more modular and pipeable R API.</p></li>
<li><p>The <a href="https://github.com/htmlwidgets/sparkline">sparkline</a> package illustrates providing a custom HTML generation function (since sparklines must be housed in <code>&lt;span&gt;</code> rather than <code>&lt;div&gt;</code> elements).</p></li>
</ol>
</div>
<div id="questions-and-issues" class="section level4">
<h4>Questions and issues</h4>
<p>If you have questions about developing widgets or run into problems during development please don’t hesitate to <a href="https://github.com/ramnathv/htmlwidgets/issues">post an issue</a> on the project’s GitHub repository.</p>
</div>
</div>
</div>

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