BMPMS/d3.legend.js

## d3.legend.js
// d3.legend.js
// (C) 2012 ziggy.jonsson.nyc@gmail.com
// MIT licence

(function() {
d3.legend = function(g) {
  g.each(function() {
    var g= d3.select(this),
        items = {},
        svg = d3.select(g.property("nearestViewportElement")),
        legendPadding = g.attr("data-style-padding") || 5,
        lb = g.selectAll(".legend-box").data([true]),
        li = g.selectAll(".legend-items").data([true])

    lb.enter().append("rect").classed("legend-box",true)
    li.enter().append("g").classed("legend-items",true)

    svg.selectAll("[data-legend]").each(function() {
        var self = d3.select(this)
        items[self.attr("data-legend")] = {
          pos : self.attr("data-legend-pos") || this.getBBox().y,
          color : self.attr("data-legend-color") != undefined ? self.attr("data-legend-color") : self.style("fill") != 'none' ? self.style("fill") : self.style("stroke")
        }
      })

    items = d3.entries(items).sort(function(a,b) { return a.value.pos-b.value.pos})


    li.selectAll("text")
        .data(items,function(d) { return d.key})
        .call(function(d) { d.enter().append("text")})
        .call(function(d) { d.exit().remove()})
        .attr("y",function(d,i) { return i+"em"})
        .attr("x","1em")
        .text(function(d) { ;return d.key})

    li.selectAll("circle")
        .data(items,function(d) { return d.key})
        .call(function(d) { d.enter().append("circle")})
        .call(function(d) { d.exit().remove()})
        .attr("cy",function(d,i) { return i-0.25+"em"})
        .attr("cx",0)
        .attr("r","0.4em")
        .style("fill",function(d) { console.log(d.value.color);return d.value.color})

    // Reposition and resize the box
    var lbbox = li[0][0].getBBox()
    lb.attr("x",(lbbox.x-legendPadding))
        .attr("y",(lbbox.y-legendPadding))
        .attr("height",(lbbox.height+2*legendPadding))
        .attr("width",(lbbox.width+2*legendPadding))
  })
  return g
}
})()

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<link rel="stylesheet" type="text/css" href="sustainix.css" media="screen" />
<script src="//d3js.org/d3.v3.min.js"></script>
<script src="d3.legend.js"></script>
<script src="sustainix.js"></script>
</head>
<body>

  <table>
  <tr width='450' height='60'>
  <td width="20%"><img src="http://www.bmdata.co.uk/circular/logo.jpg" height='60'></td>
  <td id='myhead' width='50%'><b>Sustainix Top 100 rankings</b><br>success can be sustainable</td>
  <td width='30%' align='right' id='myhead'><b>Circle Size</b><br><select id='circles'>
  <option value="market_cap">Market Cap (US$)</option>
  <option value="energy">Energy Productivity 2014(US$)</option>
  <option value="GHG">GHG Productivity 2014 (US$)</option>
  <option value="water">Water Productivity 2014 (US$)</option>
  <option value="waste">Waste Productivity 2014 (US$)</option>
  <option value="LTIR">LTIR 2014 </option>
  <option value="fatalities">Fatalities 2014 </option>
  <option value="empl_turnover">Employee Turnover 2014 (%)</option>
  <option value="avg_pay">CEO/Average Worker Pay 2014</option>
  <option value="revenue">R and D/Revenue (%)</option>
  <option value="EBITDA">Cash tax/EBITDA (%)</option>
  <option value="pension">Defined Benefit Pension Fund Status (%)</option>
  <option value="board_div">Board Diversity (%)</option>
  <option value="manag_div">Management Diversity (%)</option>
  <option value="scaled_rank">Overall Ranking</option>
  </select>

</td>
  </tr>
  <tr  height='450'>
  <td id='vis' colspan="3"></td>
  </tr>
  <tr height='60'>
  <td colspan="3" id='status'>&nbsp;&nbsp;Click on a circle for more info.</td>
  </tr>
  </table>
</body>

## logo.txt
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AQAgBACAEAIAQAgBACAEAv4hzeLJsiv81koW2UEkwa40DnMaS1tT7zqBazlypsmx7LuXIwX6nQ8aXd1cXd1NdXMjpbi4e6WaVxq5z3nec4naSVw26up9KhFRSS0RpQ2HfCGTDNM5jjkbW2h+LODoIacG/tHyKjn5HpW21q9iIr0+WJ1xeSOeNLK38OPecO27TyDYqtydWVrk6skKIjBAYySRxt3pHBrdpNFvCDk6JVI7lyMFWToiI/OLFpwcXcwPporcen3Xuoc+fV7C3t+wyjzWyeaeJuk+8KeXQtZ4N2O6pvb6pYlvp3ksEEAg1B0EKo1TU6CaaqgWDIICBf29D4rRge+PSrFqe4ntT3Cu/soL6zmtJxWKZpa7kroI5QcVbtXHCSktUWIujqcXv7OayvJrSYfEheWO5aaxyHSvZ2rinFSWjOlF1VSOpDJafplxE7IeNssvS8tt5JRb3QrQGKbsOLtobUO5wpbE+WaZQ6nj+rYlHfSq70euF2T54CAEAIAQAgBACAU5/xTk2RQ799NSVwrFbs7Uj+ZuoYaTgtJ3FHUuYmDdvukFs47jmeefVXPL0uiy9osLc1Ac3tSkHDFxwH7I6VUnkN6bD1GL0G1DbPxv7vt3lOur28u5jNdzyXEzqB0kri9xpgKlxJULbep2bduMFSKSXYag1x0AnmWDep98KT3D1FKGOZGNCDsKGRllfEeeZU4GwvZYWg18IOrGTysdVp6ltGbWjK1/DtXfPFP4+86Bw99W4JC2DPIvBdo+bhBLMB7TMXD9nqVmGRxPO5n0+1ttOvY/mdDtrm2uoWz20rJoX4sljcHNNDTAjBWU6nnJwlF0kqM2LJqCAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIDm/1+zX5PgF9qBV2Y3MUBxpRrCZieXGIDpVXLlSHedroFrmyK/tTf4fieZlyz3AIDpf04y8Q5PJeEdu7kND9yPsj+1vLzXV7vNcUf2r4lLIlWVC52kXiTtB7oxPQuNclRFS5KiGqplUEBHvbxlrFvHF7sGN2lWcbHd2VN28p5uZGxCr1eiK9PcTTvL5Hbx1bBzL0Nq1GCpFHj7+RO7Lmk6mLGPe7dY0udsAqfIpUm9CIxWDBJs7+a2dgd6M95h0dCrZGLG6tuvEvYedOw9m2PAsMMzJo2yMNWu0Lz1y24ScXqevs3Y3IqUdGZqMlPj2B7C06CKFZToE6CZ7S1xadINCrydS6nU5t9ScvEOaQXjRQXTN1/446Cp/ZIXo+j3awcf2v4l3HlsoU9dgsH0EggjAjEFAeyeEM1ObcLZVmLnb8lzaxPldtk3AJP7YK7duVYpnzXLtendlHg2N1uVwQAgBACAEBS+OfqBBk8b7HLnNlzRwo52DmwV1uGt2xvXsUF29y7FqdvpfSXefPPZb+P5HH7m5ubqd89xI6aeQ1fI8lzieUlUW6ns4QjBUiqJGyKye7F/ZGzWtlA1ldS0JTLeFmhortOK3UURObZsWxoCA+FrXChAI5VgymaZLOJ3d7J5NHUtXFG6uNEOW3ki7wq33hoWjjQmjNMb8M8XZvw/ODayb9q5wdPaP7j9Rp7rqawtoXHHQp5vT7eQvEvFuZ23Ic9sM7y5l9ZPqx3ZkjPeY8aWuG1dCE1JVR4bLxZ2J8kv6jFbFYEAIBBxPx9wfwvGXZ5mkFpIGh7bYu353Ncd0FsLN6QiuulFHO7GOrLOPh3b3ki38Pecl4i/VXlULnRcP5PLdkVDbm8eIWV2iNm+4jncFUnnrcjtWPp6T2zlTuOf5p+pP6n3jw61ubbLWj2Le3Y8f8A6jxyq0s249Nh0rfQ8eOqcu9/KhWrz6tfUu7cXS8SXzK6oZnQjqi3FG8m495aj07HjpCPx+JE/wD9G+oVa/5nzb/11z/vrT1p8X7yT+FY/ZD/AIUMMv8ArH9TrFwdDxFdyEaBcOFwOqYPW6ybi3kU+mY8tYL4fAs+T/qZ+o9lQX3ymaN9ozwiJ1OQwGJv9lSxzprXaVLvQrEtKx9vzOicOfqm4Yu3Miz3LbjLHuNDPCRcwj7zsGSAczXKzDOi9VQ5d/6fuR2wal9x1nh/irhviK2NxkmZQX8bQ0yCF4c9m+Kt8RnfYTTQ4BW4TjLR1ONex7lp0mmhqtyEEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIDiP6lrt4iyK0B7BdcSvGuoDGt87lQzXoj1H03DbOXd+JwxUD1QIDs3DkDYMhsIwKfAY5w+85u87yleNy5c12T7Tm3HWTLBlrcHu5gFz7z0Kt5k1VyEEBXMyuDNdvNeyw7rRyBekw7XJbXF7TxnUr7uXnwWxDjg7hf86unyTktsbcjxaYF7joY0+ddrAwvWlV+VFW1b5n2HUrOxs7KEQ2kLIYx7LAB17V6e3bjBUiqIuJJaEbNshyvNYTHdwBzqUZM0ASN5Wu/0Cjv40LqpJfMxKCepyPPMnnyjMpbKY7+5QxyAEB7HaHCvUeVeUycd2puLKU48robsjnIkfAT2XDebzjSuH1O1sUzt9EvtSdt6PaOFxT0gIBZft3bgn3gD6FbtPwlm09hSvqTAH5JDLTtRTtx+65rgfLRdro8qXWuKLmO/Ec0XpS6CA9S/Q+6bN9N8tYMTbvnicSa4+M9/mfRdbFf+NHg+txplS7afAvisHJBACAEAICp8f8AGJyCxbBaUOZ3QPhE0IjaMDIRrPug4dVDDeu8q2anX6T07+ROsvJH7+z5nFCZJZC5xL5HmpJxJJ1lUD3OxLsJ1vbNjFXYv27FLGNCvOdSba2dxdSeHAwuOs6hzlbJEE7kYKrH1pwzA0B1y8yO1sbg3r0rdQKFzNb8uwZR5Zl8YAZbsw1kAnrOK2oirK9N6tmw2lqRQwsI2FoShr6kuJGnyTLZgawhh1FnZp0DBY5USxyZreJ77hueIF9s7xmD2Dg/1FauJctZieyWwTObpa4YjAtK1LqZBubXc7bO5rGxRSiWITrsZO4Y4lv8gzFt1bOrC4gXNuT2ZGbDyjUdSzbm4sr52FDIhyy13Pgd5y3MbTMbGG9tH+Jbzt3mO84PKDgV0YyTVUeAvWZW5uEtUKOMuPOGOD8v+dzu7EO+D8vbM7U8xbpEcevSKk0A1kLS5djBVZJi4ly/KkF8keb+O/1G8X566S0yInIssNQHQmt29uGLpvY0V+HQjRUrmXcyUtkdiPU4nRLVvbPxy+73fM5PNNPcTPmme6WeVxfJI8lznOcakknEklU26naSSVESIcrvJcdzcG1+Hk0rNDZRZLjyIYeJLzho9JWeUzym9uS2Y0lzuc+oJQzyoy/KLH3D+8Vmg5UYOyS0OgvbzEekLHKOVGiTInfy5QeRwp5QnKY5SFNl93Di6Mlo9puI8ixQw4sMvzLMMtu2XmX3UtndxV8O4t3uikbUFp3XsIcKgkIpNbURzhGSpJVXadp4D/U3ndjJHacXQ/mVno+fha2O5ZyuaN2OQDmaeUq9azmtktpwcvoMJbbXhfDd+R6I4e4kyPiLLI8yya8jvLOTASMOLXUruvaaOY4V7rhVdKE1JVR5i9YnalyzVGMlsRAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQHBP1Kb35rknu+BN177Vz83VHrfpvyT70cZVE9KCA7fl1Py+2po8JlP3QvEXvO+85ktR1lv8B34j5gqV7Uq3tSUoSIEBU3V3jXTXFetWh8/lqdP+mwjHD793vG4fv8APut9FF6fpFPR9paseUta6hMCA5z9UBH+ZWZH8UwkO/CHHd8tV57rNOePGhVyNUVbKa/Pxftf3SvN5/8Asv2fEs9K/wC4j7fgywrzh7EEAuzL+M38PpKtWdCxZ0Kj9QHMHDUwcQCXx7oOs7w0dC7PR7cpX0oquxliF2MHWTSXacoMrRyr3Nvpd2WtIla/1+xDy1l8PvMTMdQVyHSIb5P7e85lz6juPyxS79vyLjwx9W+LeGcmGU5UbdluJXzb8ke+8l4AIqTSg3diuW8KEFRVOLl5Ur8+eWo9tP1F8ewh3ixWNzWlDJC9tKbPDkYt3jRKw3yz9TOcMr+aZLb3Gw20j4Kfv+OtXircwXjIvr9wHmTmRXb5srmdSvzLKx7x1CSMv63AKGWPJGDoVjmFjf2zLqxuI7q2f3JoXtkYeZzSQoWqAL68gsrOe8uDuw27HSSHXRorhy7Fq3RVJLVtzkorVuh57zzN7nN80nzC4PbmdVrdTWjBrRyALmzlzOp9FxceNm2oR3BZwbrfEcO07RyBbRQuSrsGuW5dLfT7jezG3GR+wetSJVKl68oKu8t1tawW0QihbutHWTtKkSOPObk6slxWsj8T2W7StkiGU0iS2zhGmruc+pZoRu4z78rB7vlKUMeozW+yae4aHYcQlDZXeJGkifGaOFNh1LWhKpJinN8nju2GSIBtyBgdTuQrVxqW8fIcHR+Uqj2Oa5zHijgSHNO0KM66ddqFtzD4T8O6cR6lDJULUJVR8i+uEvBVheZVZW7cwvJTvwB7qRW8hFC54aN5+9h2d4aNVUWVyKmpy+odLhkTjJulNe1HFs7z3N88zKbM82upLy+ndvSTSGp5mgYNaNTWigGAVKc3J1ZetWo24qMVRILPKZpqPk+HGdvePQsJEyiOLezt7cfDYK63HE9a2SN0iVFBNM7diY57tjQSsSklqzJPh4ezB+Lw2IfeNT5KqtLMgu0zQlN4YPtXHQG/aonndgoZ/wCWIv67uoLH858BQ1v4YfTsXAJ2FtPLUrZZy3oUIk2Q5jFiGCQbWH0GhU0cuD7BQgSRyRuLZGljhpa4UPlVhNPQwRLnLra4qXN3X++3Ao0YaE93ls9vV3fj98aucLVo0cRjwfxpxDwjm0eZ5LcmGVpHjQOqYZmDTHKyo3mnrGkEHFb27soOqKuTiwvR5Zr8u49a/S/6tZFx1ZFkVLTO7dgdeZc840wBkiPtx16Rr1E9ixkK4u08Zn9Onjvbtg9H8y9Kc5wIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACA4f+pa2f/wCw3QbVn+Iic7YfhuaOnFUM5aHqfpqXnXd+Jw5UD1IIDs/D04nyKwkBrWCMOP3mtAd5QvGZceW7JdrObcVJMf5a7svbsIPWufeWhVvImqAhBAVvMIDDdyN1OO83mK9LiXee2meK6hYdu9JbntXtH/A/E8OUXEltdkizuSDv6RG8Yb1Nh1rudNzFabjLyv7iC1c5dTqMUscsbZIntkjcKte0ggjkIXpk01VFw0ZhmVjl9ubi8mbDENbtJOwAYk8y0u3Y21WTojDklqch4jzuTOc1ku3DdiHw7dhABbG0ktBpXHGpXk8vId645bt3cUZz5nU+ZHAXTOmI7LBQHlP2LhdTu0io8Ts9EsVm57l8R0uIemMJ54YIXzTyNihjBc+R5DWtA1klb27cpyUYqsnuRhtJVZzDiz6nxunfDkjQ8NG785IMOdjD53dS9/0j6SdFLIdP7V+L+XvObe6tyrlt+859eX9/fzmW6mfcSnQXEmnIBqHMvb4+Lbsx5bcVFdhxrt6U3WTqYstJXaaNHLpVlQZUlkxWm03Nsme04nmwW3pkDy3uRkLSDYT0rbkRo8mYG0h2EdKxyILJmYusmey4jnxWPTN1lvejS+0lbo7Q5Fq4MnjkxfYTcj4m4gyC6+Yyi+mspagvEbiGu3dAew9l4x0OBCjlBPUnTqdIufrpeZ5w83Js2t2wXL3s8e+iPw5WsJIDoyDuHeDSS09AC52ViScfCdTpF61bvKVz2d5HtWtnewtIcw9reGIIXHUdtGe5c1y1Q1Yxz3NY0Vc4gNA1kqUrN02l1y6yZZ2rIW4u0vdtcdKlSocO9dc5VGdrbg/EeMPZC2SKtye5ExrS40AqVsQ1N7bX3j0BDRzMjas1ErJjnZqkt3txHaCwbKVTS9jXtLXCoKG6dBdNEY37p0aitGizGVUVziXLwKXkY2Nmp5HehaSR0sK7+lnLOPuMY8vjOW2Tg7MHiskg/ktI/vkaNiqXrtNi1OrbT1OWfElk1vkeecklUiQdWGVMhpJMA6XSBqb9q2SN1EaQQTTyCOJhe86gkpqKqzYfWXDsTAH3R8R39NuDRznSVz7uY3sibUG8cUcbQyNoY0aGtFAqTk3qZN0dvPJ3GEg69XWtHJI1ckje3LLk6d1vOfVVa+qjV3UZflVx7zOs+pY9VGPVRg7LboaAHcx9dFlXUZV1GiSGWPvsLeUjBbqSZupJmie3gnZuTMD28o8y3jNx2pmRLfcOEVfaGv8Awneg+tXrWZuka0EckbmOLJGlrhg5pGKvpp7UYFGYZTpltxyujH+z6lho0cSLlGb5nk2Z2+Z5ZcPtL+0eJIJ2aWuG0GoIIwLSKEYHBIycXVEN21GcXGSqmewfpL9WMt47yotkDbXP7Ro+fsQey4aPGhqSTG46tLTga4Od2ce+ri7TxHUenSx5cYPR/g+34l+Vg5oIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBAcz/UFlT7vgVt2ylcuuopZCdPhyViIHLvPaquZGsK8DufT93lyOX9yfzPNS5Z7YEB036c34nyV1qT27SQgD7knaB695eZ6va5bvN+5FLIjSVS5WUvhziuh3ZPSuNcjVFS4qoaKoVQQEXMLFt1FhhK3uH0FW8TJdqX9rOfn4Svx2eZaFekikieWSNLXDSCvQwmpKqdUeRuW5QlyyVGbrfMcwthu21zLC3ZG9zB5CFNC7OPlbXtNVJo1z3NzcP8AEuJXzP0b8ji405zVaynKTq3Uw3UztbSa5k3WDD2nagFXv3421VlnFxJ3pUj7+BYre3jgibEzQNJ1k7V5y9ddyXMz2OPYjagoxI+b5vY5TYSX17J4cEfS5zjoa0ayVNhYdzJuK3bVZP7VZvduxhHmehxLi7jXMuIbgtcTBl7D8G1acPxP953m1L6z0boVrCjs8Vx6y/BcEeeycuV18I8BJDauf2ndlvlK70YVOZdyFHYtrJccTGCjB61KkkUZ3HLUlR2M78SNwcunqWrmiPmJLcuiHecSeTBau4zHMZiytvcr0la87MVYGxtvcp0lOdirNbsujPdcQeXFbK4zPMR5LKdmIG8OT1LZTTM1IskTHijh061s0mSwuOOhDmtnR4jtN8oUUoUL1rIUtj1GXD/ElzlUwB+LaOwkiOkV1s2FU8jFjc26SO1g9SnY2aw4fI65wjJa5jcR3cDxJA1pe08uih2EVXHcHGVGejvZEZ2uaLqpF0jZvyNbtK2Ry5OiGYAAAGgaAtyqTIYgxv3jpWSKTqSre1lmqW4NHtHQspEM7iiSHZW4N7LwXbCKLPKRq/2EOSN8bt14o4alqTqSehDuIg07w0HSOVYJYsh3ce9ETrbiPSsMmtujKF9TeL7Xhzh2Qndkv7wOisoT71O1IR7sda89Aq9+5yx7Tp4dpynXcjzRLLNPM+WRxkmlcXPccS5zjUnpXLbqd4d5bl7bdgkkFZnD90bAspEiVBxl+XzXs24zBje+86AFHevKCqzZItVnZW9pF4cTae846SeUrk3Lrm6s2J9vZSz4jss94+hQSmkaymkMobG3ix3d53vOxUErjZBK42SACTQCpOgBaGhIjy6+f3YHdIp56KJ3oLeRu7FbzZ+T5j/R/tN9a1/kw4mvrw4mqSxvI+/C8AaTSo8i3V2L0ZurkXvI5FcCOhSG5Fny6CTFo8N20aOpSRuNEkbjQtntpYTR4w1OGgqeMkyeMkxdmGWQXrO0N2Ud2QaRz7QrFm+4PsMtFWurWa1mMUraOGg6iNoXXt3FNVRqJc1y4OBuIh2hjI0a+VZaNZIw4W4mzbhnPLXOcql8O7tXBwaa7kjfajkALascMCKrNu44OqKuRYjdg4S0Z7Z4I4wyzi7hu0zzLyGsnG7PBvBzoZm4PifSmLTowFRQ613LdxTjVHgcrGlZuOEt33j1SFcEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQCzifJmZ3w9mOUv3f8bbyRMc8bzWyFvw3kfdfRy0nHmi0T4170rkZ/tZ40likhlfFI0skjcWvY4UIINCCCuI0fSk01VGCGR9wZnIyzOozI7dtrn4UxOgVPZd0HyKh1HH9S26araRXoc0TrS8mc8aWlwJY8T224O9aqXIUZVuQozeozQEBrmt4J27srA4aq6R0qW3elB1i6EF7HhdVJqpCdkdqTVrnt5Kg+hXY9Tub0jmy6JaejaMo8ls2mrt5/ITh5FrPqNx6URvb6NZi9tZE5kbI2hrGhrRoAwVGUnJ1bqzpwhGCpFURqvb22srSW7upBFbwtL5HnUApLFid2ahBVlJ7DM5qKq9DhHGHFl3xDmJmdWOziJFrbk91u0/edrX2HovSIYVrlW2b8z4/ktx5vJyXdlXduFlvbaHvGOpvrXdjDicm/kbok6C3fM6jcGjS5bSlQpNjKG2iiHZFXa3HSoXJs0bGVrlF5cAODfDYfafh1DSo3NIUGUPD1s3+K9zzydkelaO4xQkjJ8uH8nrLj6VjnZmgOybLj/KpzFw9Kc7FCNNw9buFYpHMOw9oehZVxmKCy6yq8tgXObvxj22Yjp1qRTTFBbPaxSjEUd7wUkZNBMWzQPidRwwOg6iplKpumQbm2pV7BhratJQ4F6xf3SHXA3GNxw5mYe6smXzkNu4ddPfb95vlVO/YU12nUx8hwf9p6Fym4t7psdzbvEkErBJFI3QWupQ+VcmlHRnWnKsaoawisjRyrJXloT2N3ntbtIHWskDdEO2Maxoa0UaMAFIUG6n1DBEzKIOh39bD5DgsSJrEqOgpmFYnc1VoXI6i+4lhhgklmeI4Y2OfJI40a1rRUknYAsMninXYeR+PeLJuJ+Iri/JItGHwrGI+zC09nDa7vHlK4165zyqetx7PpwpvIWT2QJ+ZkGAwjB27VokWYofWVpLd3DYY9eLnagNZWty4oKrNy32ttFbQthiFGt0nWTtK41ybk6s3GdlYb4Eso7Hst28pVadymxEM7lNiGjGEkMY2pODWgKBveyu2OLPISQH3Rp/w26ekqjdy90Srcyf2jaG2t4BSKMM5QMekqnKcpasqym3qbSQBUmg2rQ0MPGhrTxG12VC25HwNeePEzWpsaLiytbgfFjBPvaD1hSQuyjoySNyUdGJ73I5YgX25MjNbfaHrV61lJ7JbC3byE9jFL2Nc0tcKg6QVbTLKYpvLIwnfbjGesc6swnUswnUV5jYRXkBY7B4xjfsPqVmzdcHU3aKjNDJDK6KQbr2GjguzGSkqo1K9mtl4EviMHwpPIdiw0RyR0f9Pn1CPDfFYym9l3cozpzIX7x7MVxWkUmOABruu6CdCt4d7llR6M4vWcP1bfMvND4bz1suueLBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIDzN9dOEjk3Fz8ygZu2Oc1uGkaBP8Azm4k4lx3/wBpcrLt8sq8T3HQ8v1LPK/NDZ7N3y9hzdVjtAgOncD8StzCzFjcv/xtu2jSdMkYwB5xr615nqWH6cuePlf3MpXrdHVaFsilfG8PacQuTKKaoVpRqhrBcMmbVuDtbdYVScHEqyg0bFoaggBACAEByb6q8VG6vPyO1f8A4e2NbstOD5fcNNTPPzL6V9I9I9O3/ImvFPy9kePt+HecTqORV8i0WpRbSDeO+7QNA5V7mETg5N2nhQytrd0z6aGjvFbylQ57Y2ggLi2GFlScGtCgb4kZY8vyaG3AkmAkm0491vMoJTqbJDm2sbi47jaN984BRtioxiyaBuMji87BgFrzGKkluX2bdEQ6anzrFWKnx2X2TtMQ6KjzJVipHmyWF2MTyw7DiFnmFRbc2c9ufiN7OpwxC2TM1EuYZLFMDJABHLp3dDXepSxnQNFdng70UraEYFp0gqZM1FNxA6F9DiD3TtU8ZVJExbdQbh32906RsKjnGh0ce7zKj1Om/RXi4xXh4eu3/DmDn2Dj7L+8+PmdpHLzrn5dr9SOtjXdnKztUbt2Rp5VQLL0JzXbrg4aQarJA1UdQytljD2nTp5DsUiKMotOhmhqQsymAYIge0cXcy1kyexHbUVTupEeXBalyOpyb69cVOyrhZmU27y26zhxjcRUEW8dDJo94lreUEqpl3KRpxOv0yxzXOZ6R+J5ztoXTzsib7RxOwa1yz0aRZ2MaxjWNFGtFAOZbkpbcmsBa2oLh8aTtP2jY3oXIyb3PLsRskOrC18V++8fDbq2lU7k6GlydBzFE+R7Y4xvOcaABVZSSVWVW0lVlky7LYrRgcaOmI7T9nIFyr19zfYc67ecu423l9bWke/M6hPdYMXHmC1tWZTdEU71+NtVkILviG8lJEPwWcmLuv1LpW8KMddpx73UZy8vhQukmlkdvSPc921xJPlVuMUtEUZTlLa3UwWTU2RXNxCaxSOYfukhayhGWqN4XZR0dBpZ8RzsIbct8RnvjBw9BVO7gp+XYdCz1KS2T2of29zBcRiSF4e07NR5VzZ23F0Z2Ld2M1WLqQM0yls7TNCKTDEjU77VYsZHLsehcs36bHoV57K7zHjkc0rpJ70X0xLd2xglp7BxaVahKqLUJVQg4hsBJF81GO3HhJTW3b0LoYd2j5XvNmir3UDZ4HRO1jA7DqK6TNGisuDo3kHBzTQ8hC0Iz2v9IeMv82cB5fmMsniX8A+TzEkku+YhABc40bjIwtkw96i7uPc54JngepY3o3nFeV7V3P5aFzUxQBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEBW/qFwfBxXwzc5a4AXbR4tjKcNydgO7U0NGu7ruQqK9b540LvT8x491S3b+48kXdpc2d1NaXMbormB7o5onCjmvYaOaRyFcZqjofQ4TUkmtqZpQ2Nttcz207LiB5jmjO8x40ghaTgpKj0Zhqp1Lhfi61ziMQy7sOYNHbi1Pppcyvm1Ly+bgSsuq2w+2pRu2nHuLE1zmuDmmhGghc9qpC1UmQ5jqlH7Q9SglZ4EMrPAlsnhf3Xg8mtQuDRC4tGa1MBULIE/E/EEGT5LdXocHTRspAzTWR2DPLieRdLpPT5ZWRG3+lvb3LUiyJu3bcjgBdLcXBfI4vklcXPeTUknEk1X2u3BJKK2JHk7k6JyYxjj7sbByAKzojkSlV1Y4ghEbGxtFT5yoG6kbZacqy4WsW+8fHeO0dg2KvOVTKRYMvy3xAJph2PZZt5TyKJyMNjV744mYkNaMAPUsRi5PYYbIkmYOOEbaDadKsxx1vNHI0G5nOl56MPMpVaitxirBt1cDQ89OPnR2ovcKs3x5g7RI2o2hRSx+BlSJbXRyswo5pwI9arSi09pvUUZhlvg1lixj9pvu/YspmyZXs3y0XMZljHx2DV7Q2KWEqBoq9zGx8RDyG0xDjhQqxF0MRrURSzQbpY51a4YYqVyRbt2p1qkRrS6ntLqK6t3mOeB7ZIpBpDmGrSOkKFqqodNOm06o76+3W43dydgfQbxMxIJ107AVL+H2lr+V2GTP1CZoMHZRCQP+K+vmWf4a4mjv8AYTbX9R0sThv5Jp7xZc0/smM161j+H2mrup6osFl+orhufdZdQ3do52BfuRvYOlrt7qatHizMJw4Fjyr6g8G5sQLPN4HSONBHK4wvJ2BsoYT0KCVmS1RYjNPQaTS+IcO6NHKoixFUPLP1pz85vx7eMY7et8tAsoqbY6mXp8VzguTlTrPuPU9Otclpdu0rWRwfxJz+BvnKhidCKLLktp8xfN3hWOPtu6NA61Dk3OWHeSItzGF72sbpcaBcZuhlug9hibFG1jdDQqjdWVG6ssWSWAii+YePiSDs8jftXMyrtXyrRHPyLlXREnMswjsoN89qR2EbNp9SjsWXcdNxzsnJVqNd+4qc9xLPKZZXbz3aSu1CCiqI85cuSm6vUX3OZRREtZ23jTsC6OPgSntlsRVuX0tBfJf3Tz390bG4Lpww7cd1e8rSvSe81/M3H9V/7xUnoQ/avca88uJuizK6ZpdvjY71qG5g25bqdxvG/JDG1v4p+z3JPdOvmXKyMOVvbrEs27yl3jCyvZ7SYSRH8TTocOVULtpTVGXLF+VuVUW60u4rqBs0ZwOkawdYK4l224Soz0dm8rkeZCrPbANPzUYwOEoG3UVbxLv6WdLGufpYgu4BNCW+0MW866EJUZdhKjEbmhzS1wqCKEHYradC2Uy+tjbXUkJ0NPZPIcR5F3LU+aKZoyt5zB4dyJAOzKK9IwKyyOSOxfpY4k+W4jzPh+VwEWYwC4gDnUPjWxoWsboq6ORzj+FXsCe1xPO/UFituM1+l09/2+89NLqHkwQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACA8//X204Jlu/wA3ss5tPz5r229/lrJWySSboDQ4tYXFj2CgIdpHKMedlxjqntPWdBvXUvTlF8mqf24nHlSPTAgMmPfG9r2OLHtNWuaaEEaCCFhpNUYLnkX1EnhDYM1YZmDAXLKb4/E3Q7n8642V0lPbb2dhWnj8C75fm+WZjHv2dwyYUqWg0cOdp7Q6VxLuPO26SVCrKDWpMUJqAc4aCQlBQCSdJqgOe/VLMTvWeXNOABuJRz1az/aXuvo/F2TvP/Svi/wOD1q95Ye0pdkzvP6Avd20eVy56Ib5dFVzpDqwbzpce458mWLIrMSzmd4qyLu8rvsVabMItuW2nzE1XD4bMXcuwKBsyx1LK2KPeOrABYhBydDRsWTTOeS+Q6OoBX4xUVsNGxZcZpQlsIr98+gLVz4GtSG67uXGpkd0GnmWnMzFT6y8ummokcec186czFSZb5oCQ2YU++NHSt1PiZTGUMzo3BzDgeohbTgpLabJhm3FGR5Xb+Jezta5w7Nu3tSO5N0ec4Ki7Uq0LFu1KehzTN+PbmaV7csiFtASdx8lHyU/ujyqeNviXoYiXm2lXnuJ55DJM8veSSSTXSpC1GCWiNaGwBrjoBPMsmG0tTMQyn2D1LPKzT1Y8Q8Cb3CnKzHrQ4nwxSjSw9SxRmyuR4oxII0ob1BYA5ybjbibIm1sMwljhjBPy7jvxU0n4b6t8iiuwhRtrQmsuTkop6spN3dT3d1NdTu3553ukledbnneJ6yvFt1dT6JGNFRD/L4vDs4m6yN487sVsiZFs4bg3LR8xGMrqA8jcPPVczNnWVOBuiyZXFvTOkOhgw5yuddewjuvZQe2Ft8xdxxnu1q/mGJVK9Pli2U7s+WLZaiWtaScGtFSdQAXI1OW3vKdmN467unynuaIxsaNC7ti1yRoeYybzuTb3bhNmV4WfBjNHHvu2ci7ODi18cvYc6/dpsQqc5rQXONAF2oQcnRalRsiSXrq0YKDaV1LXTl+pkTucDD5uf3vIFY/g2uBjnZtjvamkgpyhVL3Tt8GbK5xJTXaHNPKCFzJR3MkTHNheeOzcf8AxG6eUbVwc3G9N1XlZes3OZUeo8yO+NvdiNx+FN2Xch1FcfLtc0a70dXAv8k6PSRaJYmyxOjeKteCD0rkRk06o9FF0dSoTROilfG7Swlp6F2YyqqnVi6qojv4vDuXU0O7Q6ftVy26ot23VFY4mgpJDOPaBY7oxHnXUwZ7GjLKpnMW9ab+uNwPQcFdZpLQl/S/OXZN9QcgvwQ1rLyOKUnVFOfBk/sPKksS5ZplDPtc9icez4bT3Gu6fPgQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQFc4r+ofB3CsTnZ1mcME7QHCzafEuHB2ikLavodtKKO5djDVlrHwrt7yRr27vecS4s/VRmExdBwtljbWM1AvL74kuI0tiYdxpHK5yo3M/wDajv4/0/Fbbkq9i+f9DkfEXH/GfEbnfnOcXN3G8gm3L9yCo1iFm7GOhqpzvTlqztWMO1a8kUvj79RAoiyNMuzSlIZzhobIfStkySMhstzYEAIDJj3scHscWuGIcDQjpCw0nqBta8X8R2w3Y757m7JKSeV4JVSeBZlrH8CN2ovcMWfUbiFooRA/lcw18jgq76RZfE0/jxMJfqHxFIKNdFFysZ/vFyzHpNlcX7TKx4lbzTMr3Mbt1zeSmWYgNLiAMBqAaAF7jpeNGzYjGKotfeeF6tNPIlTRbPcbrdu7C3lx6114rYeavyrNjq0ZuW7BrIqelRTe0rMt+UwCGwiGt433ftY+ZVZvaZRa8thEVoz3n9p3To8ihbMMj3su/KWjuswHPrV2xCke8jkxJmV0XP8ABaey3vcp+xZnLcaNkvIuHZcw+PMTHaA0BHeeRp3eTlWlCS1a5tu4tttkeVQNDI7VhO1zd93WalZLatxW4+XORZVcNLZLZjT7zBuO620QStRe4p3EOSHKWm4L62X9V2G5yO9axQqzstPZtKNmfHl02J1rlp3Wf+ZcO1T7gOjpW6bResYVNs/cVOWWWaR0kr3SSONXPcSSTykodBJLQGRveaNFeVZSqazuKOpIZZe+7oCkVsqzy+CN7YIW6Gjpx862UUV5XpPeZrYjBDAIAQAWgihFRyoZTa0NT7WF2qh2hauCJo5E0QMzt3RWcrwatpTlxNPSqOeuWzJ9nxOx0i6rmTCNNtfhtK60VcANZovGH0ctbQAABgBgFISlyyuMR5fbtHuB3S7H0riX3WbNkWDLGUt973nE9WCo3XtK917SycOxAvmlOkANHTifMudmy2JFDKexImZ5OYcukoaOkpGOnT5AVBiQ5ri7DjZ9zltPt2FQleI43PPsgld23DmklxPNydFUr73F7i52Jcakr08YpKiOa3UXXMxkfQd1uj1r0GHYUI1/UyCcqln4I+m+dcVudNE5tpl0bt2S8kBIJ1tjaKb7hrxA5VYncUSS1Yc+46FL+n/JzaNbFmtwy8HfmexjozzRjdcP31F67LLw1TU5dxdwZnPC1+21zBrXRyjet7qOpikA00JAo5usHzUKmjNSKdy04PaKrOYh3hnQdHOqGfYTjzrVCEtwxt5TFM141HHm1rg37fPBxLEJUdSwA6wvMnSLpYz+PaQyk1LmjePLoPlXAuw5ZNHqbFzngpdgjz2IMvi4fzGh3To9C6GJKsO46uM6xK9mzP4b+cFX7LL1llc4hj38uLv6bmu6zu+ldHDlSfeTMqF60OtJgfcJHOBULqs0ZW4nujlZI0lrmODgRpBBqtERNVP0By27F5l1rdjRcQxyjme0O9K9EnVHzWceWTXAkLJqCAEAIAQAgBACAEAIAQAgBACAEAIAQCHi/jnhjhGx+bzy9ZbhwJgtx2p5SKAiOMdp2kVOgayFHcuxgqtlnGxLl50gq/A85ce/qQ4pzsyWfDwOSZaat8VhrePGIqZR/D1GjMR7xXNu5spbI7Eeow+iW7e2fjl935+33HIZZpZpXSyvdJK8lz3uJLi4mpJJ1kqm3U7aSWxGKwAQG+KwvJe7EabTgPKs0NqMlx5HOf4kjW81XepOUzyjK0tXW8e54peNQOgcy2RsjcsmQWQCAEAIAQGh3ePOvYWFSEV2I+bZcq3Zv+5/EZMFGgbAFeR5+Tq2PGNoGtHIAqxCXWNg7LG6MAPMqpsWg0azkaNHMo0qs1E0j91rnnGgJPRiuloiISW8Trm6jiB7Uzw2vK40qoDVKrodPsLJtYLOABowjYDoGrFJOiqdOMdyLtYZVaWcTWsYHSDF0rgN4n0LnzuOTL0YJCrjK+4byfJp80zh7beKPBj2AeI+Q4tYwe251NHThpW1qUq0QlbTPLfGHHGZ8R3NHkwZfGawWjTh+J/vO/0C6NBbtqJWw0uNAKk6lk3bS1JcVmBjJifdUihxKVzK3RJIAAoBQbFIVG6mTI3vNGNLjyLDdDBJjy6U98hvJpK0dxGOY3ty+Ed4l3kWruMxzGYs7Yex5Ssc7MVZ9+Ut/cCczFT4bK2Ps05iU52Ks1Py6M91xHPitlcM8xHksZ2Ygbw5FspozzCrPARlswIoezh+0FR6q/8A+eXs+KO39Pf95D/5f9LK1bCtxENr2+deNPpiLQpCUu9sKW8Q2Mb5lwZ+Zm4+sP8ApI+nzlU7nmKtzzFn4eH+EkOsyEeQLlZnmXcc7K8yNXE7iLeFuovJ6h9qkwF4mcHqj8KXaVTMTSzfy0869Bgr/Kjz9/ysRSGkbiNIBPkXo7SrNLtRz3oLF6YrnrLh3J4cmyOxyyEANtYmscW6HPpV7v2nElUZOrqdqEeVJDFYNio/VXJ4My4IzDfDRLZs+bge7DddFi6nK5m83pUlt0kQ5EawZ5rYaOB2GqszjWLRykNF5csFgtyTbxk6S1tepeZvqk5d7OlDyot+QurlkY2FwHXVcHMX+RnpOnv/ABIh8RAeJCdZDh1EKbCexnaxdGVvNf8Ap2/jHmK6VrU6FrUrudCuWT8wPUQVfxv9xE7KfKKxPG1p8y7BqVVaEJ7v4EeZOB+HnnEvyyzcec27CvQWn4V3HzvLVL0/9T+I8W5XBACAEAIAQAgBACAEAIAQAgBACACaYnQgOJfVH9ReX5QZsp4SMd/mYqybMXdq2hOj4f8AVeNvdH3sQqN/MUdkdrO/gdElPxXdkeG9/L4nm7Oc7zfOr+TMM2vJb28k700zi80rXdFe60VwaMAuZKbk6s9VatRtx5YqiIS1NzOKGWV27G0udsCGaDK3yRxo6d9PuN09a2obKIxhs7aH+HGAfe0nrKzQ2oblkyCAEAID5u7EAUKA+IAqEAICOdJXs7TrFdx80yFS5JdrGg0BXDgPUesIDmnUCCqxEXWI0kYTqIVU2LNIKxuG0HzLSOqNWJLgEwSAaS1w8i6L0IhXlUjY8ytXuwaJWbxOoV0qAQfiR1XKbllvfxSvpuVo4uxoDrWt2NY0OpblRlmz/P8ALMhyi4zbMpfDtLdu84jFzie61g1uccAufGLboi8eTePuPc34xzl17eOMVpFVljYtcTHDHXoq93tOpjzAAdG3bUUZK3HG6R263pKlSqaTmoqrJ8ULIxhidZU0Y0ObcuubNjWuc4NaKk6gtmyInQ5eBjKan3Qonc4GrkS2ta0UaABsCjqambWucQ1oJJ0AYlAS4sozCTERFo2uo3yHFauaM0JDeHrs957BzEn0LX1EKGX+Xbj+q3qKeoKGt/D960VaWO5ATXyhPUQoRZsvvYcXwuA2jEdYqtlJMxQjrYCnieNrsluHUq5u4QdffbVUeo7bEvZ8Udr6elTNh7f+llGgduzRu2OB6ivJn1BFpUhKXazdvWkLtrGnrC4VxUk+83H2XmtozkqPKqVzzFW55izcOvBglZrDgesU9C5mYtqZzspbUz5xLHWzjf7r6dYPqWcB+NrsOH1OPgT7Sp3zC60kA0gV6jVd7DlS6jz15VixE4bzSNoovSQlytPgc9isggkHSMCvTxaaqisek/ppxrZcRZFBA6SmbWUTI7yF7qvdugN8YaKh+k7DhsJq3IUZ1bF1SXaXBRk5zH608Z2Frk8vDlvIJcxvNz5gMP8ABia4P7X3n0pu7MdlZrUNtSplXUly7zhkLN+RreXHmUl+fLBs58VVjNeaLBYYmbkTGe60DqC8vclzSb4s6cVRULhkjCzLIaihdV3WTTyLhZbrcZ6XBjS0hfxC+txEz3W16z9isYa8LZ2cVbGVzNT8Fg2ur1Aro2dS/Z1K7nbqZZNy7o63BdDFX+RE7KfcO3YJHbGk+RddmpVloQnvTg63dbcI5HbuwdDl9rGedkLR6F6CCpFdx86yZVuyf9z+I3W5ACAEAIAQAgBACAEAIAQAgBACA03t7aWNpLeXkzLe1gaXzTyODWMaNJcToWG6bWbRi5OiVWzy39Xvr1f8SSXGScOSPs+H8Y5bkVZNdjEOroLInamaSO9p3RysjLctkdD1/TekRtUnc2z+5fn9lxOPKkdsACSABUnQAhkZ2eTPfR9wd1upg09OxZSNlEbRQxRN3I2hrdgWxuZrIBAS7fK7+fFkJDT7TuyPKoZ34R1YoMIeGZTjNMG8jBXymirSzluRmhMj4csG94vfzmnmAULzJszQ3tyXLG6IB0lx85UbybnEUM/yvLv/AC7Opa+vPixQ+OyjLXaYGjmqPMsrInxFDS/IMtcMGFnK1x9NVusu4hQiy8MRH+FO5vI8A+ailjnPehQgT5DmEWLWiVu1hx6jRWIZcH2GKCeaN8crmPaWuBxaRQhe3w5qVqLXA+ddRg45E1/c/vJ8JrEw8gXRjoecuqkmOoXb0THbQFA9Suy52kvi2sUla7zQTz0xVVrabFqtpfFgjk95orz61EzUXTR7krmbDhzLowlVVI2V+6hMM7matLeYqKSozRl0yHP4Lq03LiQMuIG1lLjQFrR36nk0oi7ZucypvOS/UX6g5hxLdNsY53/klk4i0g0B50eI7Wfu17o6UUEnXedW3FpbSnxxue4NbpW6VTM5qKqxhFE2Nu63pO1TpUOXcuOTqzdDA+V263RrOoI3QjbGcMEcLaNGOt2sqByqaNm+KKSV4ZG0uedAC1bMDiz4fGDrp3/ht9JUbucDNBtDbQQN3YmBg5Bp5yo26mTasGT6Gud3QTzIYMvBmH8t3UUqDAgjAihQyCAi3OXWlxXxIxvH224O61spNGKFb4j4fuBld34PxmGJ5A9oEAkYa1pkPmtyXYy5025yZNuX9y+JyZeQPrZaoniSJjxoc0HrC3Ji4ZLL4mWwmuLQWH9k0HkXHyY0mzZFgyp9Y3s1tNev/UqF1bSC8tpYchn3Lt0ZOErcOduPmquflxrGvAo5MaxrwHOY23zNlLEO8RVvOMQqVifLNM5WTa57biUwjS0jkIXfT3nl2hBdQGGZzDo0tO0L0mPdVyCZzbkOV0IF1blx8Rgx9oLs4WWo+CXsIJx3mm0vLuzuG3FpPJb3DO5NE5zHtrhg5pBC6+pGm1oWKb6m8dzWnyj84mEVA3eYGMkoP+K1okry7y09OPAld+dKVK1JJLNK6SRzpJZHFz3uJc5ziakknEkrZtJEWpMtoPDG87vnyLiZmV6jovKiWEaDHLrcyzhxHYZiefUFxc29yQpvZZswqx7DE+aVkTBVzyAOleflJRVWdGEHKSS3l2ijbFEyNvdY0NHMBReflKrqeqhFRSS3FZzWbxr6UjutO4P2cPOurjxpBHVsxpFCDNX1kYz3RU9P+pXbS2FyythW+JJd2zZHXGR+jkaPXRdLCjWVSVlRzGTcspTtG7+9gumzR6CbKbGW/wA0s7GL+LdTxws/FI8NHnWIqrSK9yfLFye5Hv8AijZFGyNgoxjQ1o2ACgXoT5u3UyQwCAEAIAQAgBACAEAIAQAgBAab29s7G0mvLyZlvawNMk08hDWNaNJJKw3TazaEHJ0Sq2eRvq99Zcz40vJMvsHPteGoXgw22AfM5uiSYjyNrQc+K5GRkuexeU9r03pkbC5pbbnw7jmaqHVNlvbyzyBkYqdZ1AbShlIe2WXQ2wDu9LrefQt0iRKhLWTJ9AJIAFSdACwBrZcP3M1HznwWHVpcejUql3MjHYtpmg6tcrsrahjjBePbdi77OhUbl+ctWZoS1CZBACAEAIAQAgBACAqfFNv4eYCUDCZgJPK3A+Si9x9O3+axy/tfx2/M8T9Q2eW+pfuXw2fIh2b6xbutp8hXpIPYeRyo0lXiOMvk3oizWw+QrS4tpTkWrh+5DoHW5PajNWj7p+1Vri3mEWvJrkUdbuOPeZ6QoZIMlXsBe3fb3m6RtClsXKOjNJIU3Vq2dlDg4d1ytSjU0aKHxnmMlo38uYaSyCsxB0M1DD3lGol7BsVfM9xTQCTQaVsdUYQQiNn3jpKmjGhy713nfYSIYnSvDW9J2BZboQtjWKJkbA1owHlUDdSNsmWNhNdybrMGDvvOgLSUqAslpZQWse7E3E9550lQuVTYlRxySODGNLnHUFqBjb5MTQzup9xvrWrkYqT4rG0j7sYrtOJ8q1qYN9AsAEB8cxjhRwBGwiqAizZZaSexuHazDyaFnmZmovucpnjq6P4reTvdS2UjNSARUEEchBWxlM4Jm9i6wzS6szX4Er2AnW0HsnpGK8nehyTceDPr2HfV21Gf7opjTKJvEs2jXGS0+cLCLkdC1cM3P8W3J/4jfMfQqGdDSRuiz2E3h3Da913ZPToXMuKqMXFVDuKR0UjZG95hBHQqko1VCpJVVC2287J4WSs7rhXm5FxZwcXRnKlHldCvZ9lxhmNzGPhSntcjvtXUw7/MuV6o4HUMbllzLR/ERXdqy4jocHjuuXWxsh2pV3HKuW1JCWaGSJ5a8UPnXft3YzVYsoSi4vaaHwRPxc3HaMFbt5M4aPYaOKZr+Sh2nrU//kbnYa+mjayKNndbTl1qtcvzn5mbJJEm3tZZ3UYOz7TjoCp38iNtVZJC25MdQQMhjDGaBpO07V5+9ddyVWX4QUVRFj4ey4t/xkooSKQg7NblyM2/+he07fTsanjfsGeY3YtrVz69s9mMcpVOzb55UO3ahzSoVQmgJJ5SV2DpiK4l8WZ79pw5tStxVEW4qiKrxFc+JeiIHswin7RxPoXXw4UhXiGVfPJqRRxDS47x5h/rVmRpIs/0HyB2c/U3KQY/Et8vc6/nNR2RAKxu5fjFgU+JDmuLsOT1e9yY8uMtnv8Ayqey12jwoIAQAgBACAEAIAQAgBACAEB8kkZGx0kjgyNgLnvcaAAYkklAlU8m/XD6wzcW37slyeQx8N2j++Kg3crT/EdsjHsN/aONA3kZWRzui8p7PpXTFZjzz/3H9358Tk6pnZN9paS3Mm4zBo779QCykZSqWC2torePcjHOdZ51sSJG1ZMkqxy64vH0jFGDvSHQFDdvRgtooWWxyq1sxVg3pdcjtPRsXLu35T7jahMUJkEBtitZ5e4wkbTgFq5JGrmkS48pP8x9ORvrKjd7gRu9wJDMttW6Wl3KT6qLR3WaO6zaLW2GiJvSAVrzvia874n3wIf6beoLHMzHMwNvbnTG3qCzzMcz4mt1hau/l05iQsq4zZXGaH5VGe48t58fUt1dZsrzI0uX3LMQN8bW+pbq4mSK4mIOJbIzWBeB8S3O9TXu6Hetd/oGV6d/lek9nt3fL2nI67jepY5lrDb7N/z9hVLaTclFdDsCvfQdGfP8iHNHuGttN4Uoce6cHcykkqo5jQ7s7p9vOyZmNNI2g6Qq7VSMt1tch7WTwuwPaa5V2jYsVleMuY66JB32+kKJqhgjZv4FpZz3zzuxwMdJINoArhylWLV7czChzOiOF5jfTX97NdzGskzi48g1AcgGCnO3CCikkfbOKp8Q6BgOdbwW8r5Vyi5UTACTQYk6ApSgNbaAQx09o4uKglKpo2TbKzku5xGzAaXu2BRydDBabe3it4hFEKNHWTtKgbqbE2zspLl+HZjHef6lq3QVHkFtDAzdjbTadZ51o2amxzmtFXGg2lEqgjyX8TcGguPUFNHHb1NXI0nMJdTQApVjoxzGPz8/J1LP8eI5jNuYP9pgPNh61q8ZbmOY3x3cL8K7p2FQysyRsmb1EZIl5l8VwC4diXU4a+dZTMpnEfqtksllnUd6Wbrbtm7If+JHQeVu7Rcbqdqk1Jbz6B9LZfPZdt6wf3P86lXya48O4MZPZlFBzjQuaj1UWWSyuXW1zHMPZOI2g4ELFyHNFokLnG9r2New1a4AtPIVxGqOjNx1ZXHjQip7bcHetVJxoyrONGOsozEW8nhSH4Lzp907VSybPMqrUqX7XMqrUsEkccsZY8BzHihB1hc6MmnVanOlFSVHoVjM8mmtSZIwZLf3tbfxetdexlKex7JHAysKVvatsRVJFHI3de0OGwq7C5KLqnQ58op6kOTKYXGrHFnJpCvw6lNaqpBLHW41/k5/q/2ftUn/AJP+37zX+N2m6LKrduLyXnZoHkUNzqM3psN448VqTGta0BrQABoAVGUm3Vk6VNB1lWRPkImum7sYxbGdLufYFzsjLS2R1OpiYDl4p6cCwOcyOMucQ1jBidAAC5iTbO4luRWcyvnXc+8MIm4Rt5NvSutYtci7TpWrfKu0TZlc7kfhNPaf3uQK3ajvLVqNXUS3dyy2t3zO0MGA2nUFbtwcpJFgpkkjpHukeaucS5x5Tiu4lRURoVrMbjx7p7gatb2W8wWrI2z0V+lnhJ9tleZcUXMW6++cLOwc5pBMMR3pXNJwLXybrcNbCung26Jy4nk/qDJrKNtbtr/D7dp3hXzzoIAQAgBACAEAIAQAgBACAEBwD9Rv1VdAx/BeSzkSyN/96njNCGOGFsD94YyU1dn3gufmX6eFe09J0Tp9f8s1/p+fyPOa5h6g221tJcSiNmvSdg2oZSqWO3t47eIRxigGk6ydpW5IkbFkyM8qyZ90RLLVtuOt3NyKpkZKhsWplIs0UUcUYjjaGsbgGhcuUm3VmxksA3W9pNOeyKN1uOhaSmkaSmkMoMvgixI33bTo6lDK42QSuNklRmh9QAgBAFDsQwCGQQAgBAap7WCdhbKwOBFDzFbwuOLqmK7Kbjl2fZS/K8yktzUxHtwOOth0dWhfUOl5yybKn+rR954TOxXZuuO7d3GNtN4jKHvN0rrwlU4N+1yvsGljc1AiecR3D6FpOO8qtDvLMzfaP3XVdA7vN2HaFBKNTCZZ7e57s0D9OLXBQNGRD9R+I3vyqHLAN2S4dvzkHAsZoFOV2PQt7UNtS3iW9teBzgAkgDScArB0G6KoyjYGMDRqU6VDkzlzOpNy+HeeZDobo51pce4jkxiAXEACpOAAURoWrLbJtpbhv8x2Mh5dnQq8pVZshlZ2jrmXdGDRi92wLRugLBHGyNgYwUa3ABRmpruLlkI2uOhqlt2nLuMN0F8s0khq812DUFdjBR0NGzWSAKnAbVsYND761YaGQE8mPmWrkhUxGZWte8eopzoxU2x3VvJ3HgnZoPlWVJGam1ZBugu5IiAe0zZ6lFcsqXebJjGORkjQ5pqFSlFp0ZumV7j3hlvEHDtxasaDeRDxrN3/ABGez+0Kt6VWybXqQa3nU6PnfxsiM35Xsl3P5annPtxv1tew8xBC82fVU95ZLK5bcW7ZB3tDxsIW6JUyy8P5iAPk5Tywk+VqoZln9S9psmWGCd8Mge3pG0LmyjVCUaodQzMljD2GoPkOxVWqFVqg3y3OHQAQz1dFoa7SW/Yqd/G5tq1Kt6xzbVqPo5I5GB7HBzToIxC5zTToyi01sZAu8isbglzR4LzrZo6QrNvLnHtKN7Atz26PsFsvDN0D8OVj28tWn0q3HPjvTKM+lzWjTNQ4ezGtKMpt3lv/ADbZH/4272G+Hhmcn40zWj7oLj5aKOWetyJYdLl+poaWeUWVqQ5jN+Qe2/E9GoKndyZz10OhZw7dvalVkme4hgYXyuDW8uvmUMIOToi5GLk6IruY5nJdu3W1ZCNDdZ5SunZsKHedC1ZUe8WXNyyCPeOLj3W7SrUY1ZYjGrEskjpHl7jVxxJVpKhaSoVfPcxFxN4EZrDEcSPad9i6uLZ5VV6sw2V3NLvwLctafiSYN5BrKttmkmLckye+znN7TKrCPxLy9lZDC3Gm880qaVo0aSdQWIRcnREF26rcXKWiPdXC3D1nw5w7l+SWY+BYQtiDqU33aXyEDW95Ljyld+EFFJI+eZF53Zub1bGi2IQQAgBACAEAIAQAgBACAEBUPqnx7a8FcJ3GZOIOYTAwZXCRvb1w5pLS4e4ym87q0kKG/d5I1L3T8N37qj+nf3Hii7u7m8u5ru6kdNc3D3SzzPJc573kuc5xOkkmq4bdXU97GKiklojW1rnuDWirnGgHKsGxYrGzbbQ7ul7sXu5VukSJUJKyZGmT5Qbp3jTClu04D3iPQqmTkcmxamUiztaGgNaKAYADRRcps2BAMLTLq0fOMNTPWoZ3OBDO7wGIAAoBQDQAoCA+oDbb2lzcGkTC7adAHSVpO5GOrNJTUdRpBw9oM8v7LPWfUqk8z9qK0srgifFlNhHoiDjtd2vIcFXlkTe8hlfk95IZDEzuMa3mACicm9WRuTZnRamD4WtIoQCNhWaipoky+ykHahZzgUPWFIr01vN1dkt5DnyC2dUxOdGdneHlx8qmjmSWu0mjkyWotucovIKnd8Rg9pmPk0q3DJhLsLEL8ZEJTkwo4lyNua2Ja2guoqugcdutp5HLr9H6k8W7V+SXm+fsOf1HCV+3ReZafI5mRLbzFrgWSMJa9pwIIwIK+l25ppSi6pnh7tqtYyJ0UrZG7zdOsbFZTqcq5bcXRjK1vQ4Bkpo7U7ao5Q4ELQ0s7+4tXVid2T3mHQVC4pmpWuJMydmGayTEUawCNjdNA3Tj+KqzFUR18eNIIhWjN6WupuKkgtpjJlSNOJOUxzRxBH4cTW6wMedV5OrNGN8htRLcmZw7MWj8R0dSiuPYEWIAk0GJOgKE2LDZWwt4Az2zi88qjbNTO4mETK+0e6OVb24czNW6CxznOcXONSdJV9KioiMi3d6yAUHakOhuznWJSoYbFU1xNMavdUahqHQom2zBrWpgEAICTb380RAJ32e6fQVuptGajWGaOZgew1GsawVKnU2JFvO6J9fZPeC0uW+ZGUxo1wc0OBqDoKoNUJDiX1d4Qdl2afnVoz/A37vjgaI5zieiTvc9eRcTPx+WXMtGfQvprqfq2/Rk/HDTtj+WnuKPl94baapxjdg8elc9M9SnQsTH917HbHNcOsELbUkLTlGbNu2CKU0uGj94DWFysjH5HVeU2TG9vcSQP3m6PabqKpyimYlFMb291FO3smjtbTpVaUGitKDRLt7u4t3b0Ly3aNIPOFFO3GWpFOClqNYOIW0pPEQfeZ6iqc8PgytLF4MmszfL3/zaHY4EKB401uIXYmtxs/MLH+uzrC19GfBmvpS4GqTOcvYP4m8djQT9i3WNN7jdY83uINxxA41FvHu/efieoKeGH+5k0cXixVNPNM/fleXu2n0K5GCiqIsxiloQ7m9jhBA7Umpo1c6ljBsljBsUyyvleXvNSVZSoWUqCLO83DA61t3ds4SvHs8g5VfxcevikGytzTMhjdI80a3Suialburl9xM6R2FcGjYNi0Im6nov9NH04+WtX8Z5nBS4uKxZO2RuLIqFsk7cf5ldxuGgHU5dPCs0XM/YeV67nVfpRexeb5He10DzgIAQAgBACAEAIAQAgBACAEB42+t3H54v4ymNtJv5Plm9bZdTuuAPxJhQmviOGB90NXFyr3PLsR7rpWH6Frb5pbX8vYc9VY6Q3yazoPmXjE4Rjk1lbJG8UNVsbk3K8vde3G6cImYyO5Ng51Bfvci7QkW1jGRsDGDda0UaBqC47bbqzcy04BYA0srERgSSCsmobPtVedyuxFedyuxE1RERlHG+R4Yxpc46AFhtJVZhtLUdWORMbR912nf0xoHOdaoXctvZEp3MndEbNY1jQ1oDWjQBgFTbqVW6n1YMAgAkAVJoNpQNms3NuMDKwH8QW/JLgaepHijJskbu64O5iCtXFo2Uk9DJYMggBAQ7zK7W5BJG5L/Ub6dqntZEodxNbvSj3CC8sLi1dSQVYe68aCujbvRnoXrd1S0KlxVwsMwaby0AF60dpmgSAf7Wxep6J1r0H6dz/b/6fyOV1Ppnqrnh5/j+ZQAZYJSCCx7TRzXChqNIIXv4TTVU9h4+7arskibDOyQbHa2qeMqnNu2XDuJcV7JC3HtMA0H1rEoohUasSucXOLjiSakqE7KVCXZNpGXbT5lNbWwoZcvFQnWrN+dg1VqejFZk9hVY2UBGWjJ4PBsI/ek7bunR5FBN7TZDnKoPEug492PtdOpRyYY9UZqK7qbxJSR3Rg1dC1DlRG2Q7u5EEW97ZwaOVbSdDDYlc5znFzjUnSVCaDbJeHLnMaSvPhWte/TF1NO6PSlCa3acu4tdpw9lFs0Btu2R2t8g3yevAdCzQtRtRW4lOy+xcN11vGRsLGkeZDblXAWX/CmWXLSYW/LS6nM7vS3R1JQjlYi9NhUMxyy7y+fwrhtK4seO64bQVgqTg4vaara4fBIHDR7TdoWYuhqO2Pa9oc01aRUFTmxOsJtMR52+lVciG83izLNcrs80y+fL72MSW1w0se3XtBGwg4g7VTnBSVHoWMfInZmpwdJRPOHE/Dl7kGay2VwN5gJME4HZkYDgRy7QvO5Fh25Uem4+qdN6hDKtKcdd64P7aGjLcyMBEUprCdB937FCmdKLH0chBa+N1CMWuafKCtmqm5Yctz9kgEV2QyTQJdDTz7Fzr+I1tibJjpriCHNNDpBCotGSZDmcraCQb426CopWluIpWluJkd/av9vdOx2H2KJ22iJ22je17Hd1wPMarVo0aPqwDF0sbO84N5zRZSZlJmiTMbZmgl52N9a3Vts3VtshT5jNJgz4beTT1qWNtIljaSIb3tY0ve4NaMS4mgUqVdiJBBmefF4MNoSG6HS6CfwroWMSm2Rq2IpJGRsL3u3WjEkq8YEF/fvun0HZib3W+krVsjbqXv6M/Sm542zn5m8Y6Ph2xePnphVvivFHCCMj2iO8R3RykKzjY/O6vynJ6n1BY8KLzvT5nsKCCC3gjgt42wwQtEcUUYDWMY0Ua1rRgABgAF2TxDbbq9TNDAIAQAgBACAEAIAQAgBACA519eOMn8M8AXQtnlmYZq75G1cDi0SNJlfpBwjBAI0OIVbKucsO1nU6Ri+reVfLHb8jxyuKe4N1nbm4uGxjQcXHYBpRGUiyta1rQ1oo0CgHIFISmccb5JGxsFXvIDRylayaSqwXGws2Wls2JuJ0vdtcdJXFu3HOVTYkKMyMsus6ATSDE9welQXJ7kQXJ7kMFCQm22tpbmURRCrjpOoDaVpOaiqs0nNRVWWSxy+G0ZRvakPekOkrl3bzm+w59y65MlKEiMXyMjaXvcGtGlxNAspNuiMSkkqsU3fEcDKtt2+K73zg31lXreDJ+bYc291OK2RVRVPnWYzVrKWN91nZ8oxVyGLbjuqc+5nXZb6dxDdI97t57i520mpU6SWhVcm9TFZMBUoCRDmF9DTw5ngDQCajqOCilZhLVE0Mm5HRsZWvEszaC5jDx7zcD1aFVuYCflZetdTkvMqjm0v7W6bWF4J1tODh0KhcsyhqjqWciFxeFkhRExjJGyRhY9oc12BBWVJp1RlNraivZnlTrY+JHV0B628/IunYyOfY9S/Zvc2x6lTz/ha0zRplZSG8AwlAwdTU8elek6X1u5i+F+K3w4d3yKmd0yF/atk+PzOf5jlV/ls/hXURYfYeMWupra5e+xM61kR5rbr8V3nk8nFnadJr5GoXUm4WO7VRSutXedlB48a1RpWhOMLcUhZzV61PHQ5d91myflzayudsFOta3NCCQyY0ve1o0uIA6VCaFya0NaGgUAFAOZVjcd5LHS3e/W91OgLSRqyXcv3IHnXSg6cFtajWSNWK10CMTZhMZLgj2WdkelQze01ZIyLLPzC/bE7+CztzH7o1dK1N7UOZnQWMaxjWMAa1oAa0YAAYALJ0BtlvD9xeRiZ7hDCe6SKuPMMMFDcvqOwlhab2jKXhS1LfhTPa7a6jhTmAaoVkveiV2EJMxyy4sJA2WjmOruSN0GnpVm3cUtCCcHEUZplsOYWj4JMHaY362u1FbkM4KSoc5mifFK+KQUfG4tcOUGhWpz2qDHKpqsdEfZxbzFS22ZQxhfuStdsOPMtpxqmjZDdc0kKlxpw9Y5ux9tdNweA+KUd5j9FW9WK1u2Y3I8rL/T8+5jXOeHtXFHDs+yC/yW9Ntdt7JqYZh3JGjW0+cLzt/HlalRn03A6hbyoc0H3rejTY5lLbEMd24fd1jmUKZfUh5BcQzs343Bw1jWOdbG9RhZZreWlAx29H/TdiOjYobuPGeupmo7tuIbOSglBhdy4t6wqM8OS02m1RjFPDKKxSNeNrSD5lWlFrVGTNag+1O1AfEBqmuraEVllazkJFepbxtylogLLriO3YCLdpldqcey31q1bwpPzbDFRLd5hdXbqzPq3UwYNHQr1uzGGhrUX3V5BbNrI7tamDSVI2YbEV5fTXLu1gwd1g0BatmjdS6fS36S53xzmAeA60yKB9L3MSNmPhwg96QjobpOoGexju4+w5nUOowx48ZvRfM9g5HkWUZFlcGV5RbMtLC2G7FAypAqakkuJc4k4kk1K7MYqKotDxF27K5Jyk6tk5bEYIAQAgBACAEAIAQAgBACAEB5H/AFF8XfnnHsmXwyb1lkbPlGAaPHJ3p3c+9Rh/CuPmXOadOB7XomN6dnmes9vs3fP2nLFUOuO8lttyAzEdqTR+ELZIkihitjYe8OWVS67eNHZi59Z9C5+bd/SjKHy55sSbG28aXtdxuLuXkUdyVER3JUQ4VYrGyGKSaRscYq9xoAtZSUVVmspJKrLRY2UdpCGNxecXv1krk3brm6nNuXHJkhREZDzDM4LJna7UpHZjGnnOwKexjyuPsK2TlRtLbrwKxeX9zdv3pXYDusGDRzBde1ZjBbDgXsidx1kyOpSEEBi57Gd5wbzmi2jBy0VTDaRh81bf1W9YUn8e5+1mvqR4n1s8LjRsjSdgIWHZmtUzKmnvNiiNgQH1j3xuD2OLXDEOBoQsNJqjMxk06of5Zn4eRDdkNdobLoB/FsXNyMOm2PuOxi9Qr4Z+8drnnVPjmtc0tcKtIoQdBCynQymVvNMuNrLvMFYHnsnYdi6mPe51t1OhZu8y7RZcW1vcRGKeNssbtLHgEeVXLV6duXNBuL7CS5bjNUkqopfFHCVjZWcl9aPdG1hG9A7tDtEDsnSOmq9n0Xrt29cVq4k6/q09/wBkec6l0q3bg7kHSm4qK9YeeGUX8NnMPMrC0ORc8z7xhlowkPN6VHcIpDWxFb2Af8RvkKiloaluVY3H+WCljH0nylRy1NWfb8/BA2u9BU2P5jSQuV00K+4lziTpJqVXNC38EwNbZTz+0+Td6GgEf3isouY62VLjk1my7v44pO4O04bQNSjuy5Y1LduNWXUAAAAUAwAC5xeBAR7+0Zd2skDh3h2TscNBW0JcrqayjVUKM9pY9zDpaSD0LpplBlC4sgEWcPcNEzGyU/s/7KwyjfVJEHLHUugPeBHp9C2hqRIcKY2G8ZrG07QD5FzZLayVCvPG9qF20OHVT1rMTKK3n+W2eYZVPBdRCRgaXtrpa5owc06isTtRuLlkthaxcu5Ynz23R/bU5Bm/Dd3Yl0sdZrXTvgdpo+8PSuHl9Ona2rxRPoHS+v2smkZeC5w3Pu+WveKopZInh8bi1w1hc479RnbZ2QA24bX77fSFsmbKQyhu7ab+HIHHZoPUVmptU3AkGoNDtCGTe2/vm924kps3jRaO1B7kDL80zH/zD+ta+hDgKmD728eKOnkI2FxotlaityBoUgNE9/aw135BvD2RifIsVMVFlznUjqtgbuD3jiVrU1ciA1s9xM1jA6WaRwa1oBc5zjgAAMSSsGjdNrO0/TH9OWbZrJFmfFzJMuysUezLwd26nFKgP/ot217ekUb3lfsYbe2Whwc/rcYeG14pcdy+fwPS2WZZl+V2ENhl1uy1srdu5DBEN1rRzeUnWumkkqI8pO5KbcpOrZJWTQEAIAQAgBACAEAIAQAgBACAXcSZzHknD2ZZxIA5uX20tzuEgbxiYXBlTrcRQLWcuVN8CWxa9ScY/udDwXe3lze3k95dSOmubmR0s8rzVznvO85xO0krz7dXVn0aMVFJLRGuKMySsjGlxA61g2RaWMaxjWNwa0ADmC3JTOON0kjY2CrnkNaOU4JJ0VQXW2gZBAyFndYKc/KuFObk22bm0Ak0Glagd2sAhhaz2tLjyqpOVWVJyqzctTUsGS2Pgw+O8fEkHZ5G/aublXeZ0WiKGRcq6LQZqoViFmmZssocKOmf/DZ6TyKxj2HcfYVcvKVqP9zKnLLJLI6SRxc9xqXFdqMVFUR52c3J1epismpGub+GDDvP90elW7GHO5t0RFO8oi2bMLmTQ7cbsbh5V1bWFbhuq+0qSvSZGJJNSalW0iIEAIDZFczxdx5A2aupRXLEJ6o3jNrRk+3zVpIbMN3740dIXNv9Oa2w9xYhkcRg1wcAWmoOghcxpp0ZZTPqwZHWSZuWFtrcOrGcInn2eQ8ioZeNXxR1Org5lPBLTcWFcs7JruII54XRSCrXDq5VtCbi6o2jJxdUVS4gfBM6J/eaaV2jUV2YTUlVHUjJSVUIOMxXh65OwsP9sBdz6ef/APZH2/BnO6v/ANvL2fE5mvpJ4sZRfw28w8ysLQ5FzzMYZbok6PSo7hFIa2Bpewf8xo6yopaGpblWNx/lhrYx9PnKjlqasMw/gj8XoKnx/MaSF5FRRXDQrxBBIOlVzQufBUrXZdNHXtMlJI5HNFPMVlFzHewuOQ3EcGZRukNGvBZXldoqor8axLlp0kXJc8uggNdzcMt7eSZ/djBJ9A6VmMauhiToqlCkfvyOfSm8Sac5XUSKDKLxhK1+cFo0xRtYefF3+0sMo334hblrSbtp2AnyUW0NSFDlTGw2iFImDY0eZc2erJULM8PahGwOPXRZiZQkvzSxuP8Alu8oUkdTLKkrBqVnOMjs57mR0Q8B+GLR2SaDS1Ur/Srd1VXhl9tx6Lp/1DfsJRl44duvv+dSv3eVXlti5u+zU9mPk0rhZHTL1vdzLsPY4XW8e/sT5ZcJbPyIa551jdHe3cdNyVwA0Amo6ilTNWb25vfDS4O5wPRRZqZ5mZfnV5sZ1H1pUcxg7Nr46HhvMB6UqOZmiS6uZO/I5wOquHUsGKha2l1d3EdtawvuLiVwbFDE0ve5x0BrW1JKyk3oaykoqrdEdO4Q/Tpx9njopsxibkdg8Bxlu8Z901HZt2nfDhsk3Fat4c5a7Dk5PWrNvZHxvs09/wAqnfuA/o1wXwd4dxa2/wA7mzRjmV0A+QGlD4Te7HpPdxppJXRtY0Yaanm8zqd2/sbpHgvttL0pznAgBACAEAIAQAgBACAEAIAQAgBAcl/Uxn35f9PPy5haZc4uooHNdXe8KE+O5zabHxsB5CqmbOkKcTtdCs81/m/avyPJy457In5LDv3RkOiMV6Tgso2iPVuSDXh628S9MpHZhFf2jgPSqmZOkKcTKLMuUbErLofEuA491mPTqUdx0RHclRDhVisSsstPmbtrSOw3tP5hq6VDfucsakV6fLEtK5BzDXcTx28D5pDRrBU+pbwg5OiNLlxQi5PcU27upLmd00hxccBqA1ALu27ahGiPMXrruScmaluRi6/zAtJihOOhzxq5Aurh4VfFP3FW9epsQs0rrFQEBi57G95wHOt4W5S0VTDZh8zB7/kKnWHd4GOdGTZonaHBaSx7kdUzKkjNQGQQEi0vJLd1O9Ge831Ktk4sbi/uJbd1x7h1HIyRgew1adBXAnBxdHqXoyTVUZLQ2LPkWYm4h8GQ1miGBOlzdvQuRmWOV1WjO9gZPPHlfmQ0VM6Apz6034m3DR2o8H/hPqKuYlyj5S1jTo6FN4ohM2QXrBpDN79xwd6F6Xotzky7b7ae9UHUoc2PNdnw2nLV9PPDDG3NYWHkp1YKeOhyrypNk/LXfEe3aK9X+ta3CCQyifuSseNLXB3UaqFmpcgagHaqxuO8mk3rZzNbHHDkOK0kask3TN6Bw1jHqW9l0kjV6CxXyMSX0RjuXjU7tDpUElRmrGHDOZtscw3ZDSCcBjzqB9lxWES2Z8rL4sl4sGWcStihEV4HPLaBkraEkfeqRo2qrcx6uqLEL1FtGMnEWUtYXCUvI0Na11T1gBRKxIkd6IhzbO5b6kbG+Hbg13a1LjqJ9Ss2rKjt3kFy7zCa8u4bS2kuJjRkYqeXYBzqYhlKiqc3u7mS5uZLiTvyuLjyV1dC1OdJ1dSZlMXflP4R5ypbaCGUbS97WjWaLeToqmw4XMJBJnD9673R7DQDznFbxNkI85k3Mvk2uo0dJ9SlhqGVhTmonuHb07z94qxHQkRCvjgwc5Wlwu4i1Zv4WyiwzbinJ8vvYvEt7y9t4JwMHFkkrWuAIxGBVO/ZhKLckmdWzl3bfkk0egs0/TT9NLzG2ju8uOoW85e3qnEx8q4ksK2+w6FvruRHWku9fKhWrv8ASdlL3E2nEU8LdQlt2Snra+JRPAW5lqP1FLfBe/8AqRv+0qP/APtJ/wDQj/8AkLH/AI/+77jf/wBi/s/5vyJtl+lDIWOBvc+up26xDDHD/edKtlgR3sjn9Qz3QS9v9C05P+nT6YZeWums58ye2hDruZxBI2ti8Jp5iFLHDtrdUp3et5EtGo9y+dS/ZPw/kWSwG3yjL7ewhJq5lvEyIONAKu3QKnDSVYjFLRHNu3p3HWTb7yetiMEAIAQAgBACA+Oc1rS5xDWgVJOAAQCHMOP+CcvJF3nlmxze8wTMe4c7WFxW6tye4Co/WX6Zh27+eR1/5U9Ovw1t6E+AGdh9ROBr+gts8s3E6GvlbGT0SbpWrtyW4D+OSORgfG4PY7FrmkEEchC0BkgBACAEAIDzR+q3N/F4hyTKA3CztZLovrpNzJubtOQW9elczPltSPV/T1ukJS4unu/qcLXPPQjvJI922dJre7yBbRJIjFbGxZuHINyxMhGMria8jcPPVcrMlWdOBshqqhkbZZHu2+/refIMFWuvaVrr2kxRkZYMht9y1Mp70p8gwC5uXOsqcChkyrKnAZqoViv8SXm9I21acGdqTnOgdS6eDa2czON1O9VqC9okXQOUQ8xuvBj3GH4j/INqv4OPzyq/KiC9c5VRaiddwonxzg0Ek0A0lbRi5Oi1BDmu3OwZ2Rt1rsWMCMdstrIpT4Eckk1OJXQSoRggBAbI55I9BqNh0KvexoXNVtNlJomwzMlGGBGkLi5GNK29uhLGVTYq5sS8vuvBk3HH4b9PIdqp5uP6karzIms3OV03DlcAvm6yuXW1yyZvsnEbRrCju21OLRLYuu3NSRdGPa9jXtNWuALTyFcFqjoeoi01VHyWNskbo3YteCDzFIujqbJ0dSl5jaF8NzaP0va+I9ILV6DFvck4zW5pnSuRVyDX7l8TjbgWuLTgQaEFfX06o+fNUJtm6sVPdKmg9hzsqNJVJ1m/duG7Dh1rM1sKjGqgNC1ZXOJrGJ2to3Xc7cFXkqM2Q5yifcuSwnCQU6RiFHJBjtaGopniMcpbq1cy6NuXMqkbRCv7bxoqt/iMxHKNizONTVoTqA1LHkXFJt2Ntr6roW4RzDEtGwjWFmpZtXqbGWu3u7W5ZvwStkbtaQac6yWlJPQ2oZIV/nGX2LSZ5RvjRE3F56PWhpK4o6lLzrPLjM5AD8O3YfhxA6/edtKwU7lxyIEMT5ZAxgxPkRKpGPIomxRtjboaFOlQ2JthFV5kOhuA51BkT2UNoonOcGtLiaACpPMqZuVqeUyzPkPtElSo2EXEU+EUA2l7h5B6VLbRhiKRwYxzj7IJUqRgTaVZJCDeOrLT3QoZvadHFjSNSy/SqS0g47yy7vI3y21o587xHQuDmRu8MipAwk3VUy7ihbbZ0MfHlelyx1PTlrx5w3OBvTut3E0DZWOr1t3m+VclZMGWrnSr8d1e5ju3vLO5BNtPHOBpMb2vp1EqZST0KE7co+ZNd5uWTQEAIAQAgBACAEAICNmWZWGWWUt9mFwy2tIBvSzSHda0aB0k4AayspN6A4rxn+ozdfLacKWzXNFWjM7oHHSN6KHDkIL+lqtwxv3A5LnXF3F3EErpM0zK4ug6h8MvLYhQU7Mbd2NvQFahaS0RpK5GOrFYspDpcB5VL6bIXlx3Iy+R+/5PtWfTNP5nYYmyfqcD5Fj02bLLW9DHJeJeKOHphNlV/PaEGpbG4mN2FO2w1Y7pCjnaT1RPG7GWjOq8H/qOuozHa8U2gmjwacwtAGyYCm9JETuuqcTultNTVUnjftJDt2T51lWc2Md/ld1Hd2koBbLEa0qAd1w0tcAcWuFRrVSUWnRmCasAEAIDx3+oTMJLv6qZqwu3o7Rlvbw8gbC1zh++9y42Y63Ge46NDlxo9tX95zhVTqFjy5m5ZRDa3e/ex9K3RKtCSsmS55dH4djAylCGAnnIqVw70qzbNkSFGZH0LNyFjPdACpydWU5OrNgBJAGk6FgwXCCMRQsjGhjQ3qC4k5VbZyZOrqZOcGtLiaACpPIFhKpq3TaUm5mdPcSSu0vcT9i9BbhyxSPKXZucnLiaiQASdA0rdKpGILiYzTOkOs4Dk1L0ti1yQUTnTlzOprUpoQLmffdujuN8pXdw8bkjV+ZkM5VNKumhMyvJs1za5+Wy20lu5gKuZE0u3RWm84jBoqdJWG0tTaMXLQt8P0V47kj33wQQu/pvmaXf2N4eVaetEnWLMSZ/wBxbkURnzHL3tth3riMtljaKgVc6Mu3Kk4b1FtGaZHOzKOqK+tiI+se5jg5ukLS5bU1RmU6DGKQSMDh0jlXnr1p25OLJ06mahMjrL5/FtxXvM7J9C4Gba5LmzR7S/ZnWJKVMmLTkFwZbAMJq6IlvRpC4+ZCk68T0HT7nNbpwGSqF4rmeRbl8XDRI0O6dHoXUxZVh3HRx5Vicc4mszaZ5dR07Ln+IzZR/aw5q0X1ro+R6uNCW+lPdsPG9Ss+nfku2vvIVm+khb7w8oXWg9px8qNY14E4Eg1GkKU544ieJI2vGsKu1QjY64fut2V9u44P7TOcafIori3mUP2uc1wc00cDUHlChMlitbhs8DZBpODhsOtRtGp8uoPFZUd9ujl5FLaucr7DDQtIINDpV4jIN5l4kJkiwfrbqK0lCphoWPY9ji1wLXDUVFQ1BrnNO80lrhoINCsGTa69vHN3XTyObsL3EedZM8z4mlYNTZBbyzOowYa3HQFslUyN7W1ZAygxce85TRjQ2SJMUTpHhrek7AsTkoqrMpDWNjY2BjdAXPlKrqSIg5vdbkXgtPaf3uRv2pFGUJSQBU4AaVubFTv7n5m7kl9mtGfhGhWIqiNGLcwk3YgzW8+QKW2tptEWqY3Fsjt97nbSq7dWdeEeVJF1+mliTJd3zhg0CFh1Gp3ndVGrj9VubFH2noOiWtsp+wvi4x6EzimmheHxPdG9uIc0kEdIROhrKKkqNVLHlnH+d2m6y4LbyIHESYPpsDx6QVYhkyWu05l/pFqe2PhfZ8i65Lxfk+alsbH+BdH/8PLgSfunQ7z8it278Zd5w8np121tarHih2pigCAEAIAQAgE/FfFeT8L5NLm2ayFsEZDWRM3TLK92hkbXFu87Xp0AnQFtCDk6IHlfjjj/P+M8zdNdvMVk0n5TL2OPhRN1V0bzvecRjyCgXStWlHQxKSiqsSQ2jG0qN93kVlQSKFzJb02IYRWErsXdgcunqRzRVciQ3L4B3qu8nmWjuM15jP5G3p/Dw21PrWOdirMXZfAdFW8x9ayrjHMR5cvlbiwh42aCt1cRspC+a0a4nDceP9MQjimWbeRKPahnwhxpxBwdmhvMtkG68bs9tJV0MrcabzQW6K4HSFXuWlLYy/Cakqo9R8CceZNxjlAvrA+HcRUZe2LzWSGQ6jo3mO9l408hBA51y24ujNiyKMAgPDv1UuTcfUjiWSu9TMLiMHThG8sH91cLIdbj7z6B0+NLEP9KKsoS4WmBu7BG3Y0DyLdExsaCXADSTRGC9NAAAGgaFwGbmcTd6VjdrgOsrDeww9B+qZTN9izfvIW6e2Ceg1Ud10gzS46RZbFxjlETNpfDy6d21u7+8d30qfGjW4ivmS5bUn2FPXcPMke/k3LR5Gk9kdKtYcOa6iK86RYjXoTnmq5fuREjScB0q1iW+e4lw2msnRC9egIBxwjw3c8R5/a5XDVrZHb1xKP5cLcXv6sBy0WspUVSS3DmlQ9NZBw9lWQ5dHYZbA2KJjQHvo0SSOApvyOAG847VTlJvU60IKKohisGx8exj2Fj2hzHAhzSKgg6QQgOG/V76c22Uf+/ZRH4dhK8Nu7Vg7EL36Hsp3WOOFNR0YGgs2rldjOfk2OXxLQ5epimSLJ9Hlmp2I5wud1G3WKlwJLbJq4xKTspkpM5mpwr0hc7qUKwT4MsYz20Gy4pdHXDEtJ5oveaHfumn+0qGfHwpnU6XLxNdhYVyztCbiJmED/xAnqKvYT1RcxXqcz+oOXkst8wYO78GU8h7TfSvf/SuXRysv/Uvg/wOT16xsjcXc/wKW1xa4OGkGq9omeZlGqoMmuDmhw0HFWEzkSjR0J+XzaYjzt9KjuLeRyQwjkfHI2Rho5pqDyhQs1LZZ3TLq3bK3Xg4bDrCrtUZsMbC8NtLjjE7vj0rVqoY+a5rmhzTVpxBCjNSPc2gk7bMH6+VT2r3Lsehq0QHNc0lrhQjUriaehoa5Io5BR7Q4cqNVBFflducWlzeTSFryIxQwGUs1yHqWPTFDbHltsw1ILz94+pbKCFCU1rWijQABoAWxk2RQSSuo0YazqC0nNR1MpDKGBkTaNxJ0naqM7jkzdIxurmO3iL36fZbrJWqRkr00r5ZHSPNXONSpEbCnPL4RQ/LsPxJR2uRv2qSEQ2V5TGopupvFmJHdGDeZTxVEbpEO6k3IiNbsAk3sLOPCsu4gqA6R13hbLDl2SW8D27szx4swpQ7z8aHmFAvMZd71Lja0PZYFn07SW/VjZVi6CAEAAkaEMFr4d47u7Hdt8w3rm1wAkrWRg6e8OdWbWQ1sehyMzpUbnih4Zfczotne2l5A24tZWzQu0Paa8tDsPIVfjJNVR5q5alB0kqM3LJoCAEBGzPM7HK8vuMwv5mwWdqwyTyurRrRyCpJ2AYk4BZSbdEDyPx7xvmnGefvvJ3FlpGSywtK9iKKv951Kudr5qBdO1a5VRGJSUVViu2tjhHGKuOkq1sijl3brk6scWdjRwZG0ySu161DKdSBupYLTh9oAddOqf6bcB0lQu5wFBza5RQD5e2AGp1AP7RUTkZJf5Ve6dwdYWOZCpFusocQfHtg4e9QOp0hZUgJ7vh+JwLrZ2473HYt69KkVziYoV+9sCHGOZhZINB/00hTxnwFaCa5tSCY5BzH0hTbJImt3HF1RK4Q4pzPhHiGDNLMl3hndngqWtmhPeY7n8hxVa7bqqM6kJqSqj11w9nuX59ktpm+XuLrS8Zvx7wo4EEtc1wFe01wLTTWuZKLTozYYLUHhDjt2/xtn7/ezG6PXM5cC9533n0TE/2Yf6V8BGoywWwaFITGy2FbiIbXt860n5WC7rhG5ttf+oj/ABDzrWWhrLRj1VCoTMoFcxh53f3SoMnyMhv+RlnXJOaLeIHUy1w2uaPLVW8Jf5Cj1F/4mVZdg8+Qc2P+HaPvDzFdHpq8b7ivkeUUrtFIi3x7LBtJ8i6nTVtkyO4RF1iI7L+n7LovBzfMS0GYujt2O1hoBe8dJ3epV770Rfw46s68oC6CAEAp4tsY7/hjNbSRrXCW1mDQ4AgPDCWOodbXAELaLozS4qxaPKSunGM4DSZnPTrUGUq25dxtHUZLzhOScuNLyPp8xVXOX+J/beS2PMh2vPHQGfDrqZjTaxw9KqZq/wAftL/TX/l9haFxzviviEf4SM/8QeYq3h+Z9xaxfMyrZnYx39hPaSaJWkA7HaWnoK7eHkuxdjcX6X/UnybKu23B7zktxBJBPJBKN2SNxY9uwg0K+r2rkZxUo6NVPBTg4ycXqjfZy6YzztViD3HPyrf6kTGuLXBzcCMQpGikNoJWyxh46RsKrtUNGhhlmYOtJqnGJ+D2+kLSUahMs7HsewPYd5rhUEKAyTrDMH253H1dCdWscy1aDQ7jkjkYHscHNOghRmp8kijkFHiuw61tGbjoGiLJl5/lu6CrMcnijXlNDrS4HsV5qFSq9F7zWjPny8/uHqWfUjxFDNtlcHSA3lJWjvxRnlZvjsGDGQ7x2DAKGWQ3oZUSU1rWijRQDUFA3U2NN1eQ27KvNXHusGkolUyIrm5kuJN955hqAUiRkhX17FaQmR+LjgxmslbRjUFVmmkmldLIavcalTpUNSDfXG4zw2ntO08gUkIm0ULlMbC+4l8SSo7owCgk6s6li3yx7SyfTnhs55xLAyRm9ZWlLi6qKtLWHssNcO06gpsqvO/U3VP4mJJp/wCSfhj3vf7F99C9jWuefYj0I6NjxR7Q4bCKr4nC7KLrFtM7ibREmyfLpdMIadrOz5l0rHWsq3pNvv2/Eljfmt4suuGnirraTe+4/A9YXexfqeL2XY07V8v6liGZ+5Cie3ngfuTMLHcuvmK9LYybd6PNBqSLcZqSqjWpzcEA04f4gvMmvBNCd6F9BPAT2Xt9Y1FSW7rgypl4kb8aPXczq+V5pZ5nZsu7V+9G7AjW1w0tcNRC6cJqSqjyF+xK1LllqS1sQggOF/qN4xmY604VtZC2N7RdZjumgcN6kMZodRaXkEe6dSuY0P1A4xaQ7rQadt66MFRHPybnM6bkPrCzdVsTBvSyHHn+xRTkU26lwyvKxAGxxt35395237FWlKpkstrlsEDd+Sj5BiXHQOZRVbMNmyS+ibg0Fx6gpY47euw05jX+Yn3PKpP43aOYzZfxOwcC3yhaSx2tBzGN1l9vct320bIdD26DzqGrRumV3NMrEgdBO3de3Fjxq5RyKSMqGSnX9i5rnwSij26D6RyKzCW8wnQQXUBc0tIo9mj1KeSqi1Yucr7DqP6duMXWWcz8M3L6WuYgzWYOhtxG3tAYfzIxr1tA1rn5MKqp0j0QqIPCPHjNzjfiBmjdzG6bTmmcFwL3nfefRMP/AGYf6V8BEoywWwGoBUhMbLc0uIjse0+Vaz0YLuuCbm22/wCoi/EPOtZaM1lox6qhUJeUGmYwnlI62kKDI8jIr/kZaFyTmC7iBtctefdc0+WitYb/AMhS6gq2mVVdk88Qs2H+Gadjh5iuh01/5H3FfI8ooXbKRGvh2GnYada6fTZeJojuENdciOv/AKf81jEua5U4/Ee2O6iG0NPhyf3mKC+t5ew5ao7Iq5eBACAR8b5nFlnCObXkjt3dtpGRmlfiSjw4x0vcFtBVZHdlSLZ5YV045stxWZnPXqVfKlS3I2jqMV50nJOWit4zkqT1FVM5/wCJktjzIdrz50Bpw42uYV91jj5gqec/B7S/01f5fYWdcg74q4hP+FjbtfXqBVzDXifcWsXzMQrol4o/HuUhk0eYxD+IN2cDaKBrunQva/THUKxdiW7bH8V+J5vreF/9sf8A5fgyoNcWkEYEaF68821VUYxilEjA4adY5VPF1OVdtuLoSba4ML66WnvBYlGpE0NGua5oc01B0FQNGgwy3NJLR246roCcW6xyhaSjUymWOGaKaMSRODmHQQoWqGSRBczQO3o3U2jUecLDQGlvnELgBMNx20Yj1rRxMUJ0csUgqx4cOQ1WpgzQAgBAaZru2h/iSAHZpPUFmgF9znLjVsDd377tPQFsomaC173PcXOJc46SVsZIl9mEFoyrzV57sY0lbRjUNlZurqW5mMspqdAGoDYFOlQ1ItxO2FlTi490LeMamUhU97nuLnGpOlTpG5Fu5t1u43vHTyBaTluLeNaq6vQhtBcQ0CpOAChboXz0J9OuFP8AL+QsbMymYXdJbs62mnYj/YB66r4n9T9Y/m5L5X/ihsj+Mvb8KHaxrPJHbqy1LzhZBACA1zQQzsMcrA9h1FTWMi5ZlzQfKzMZOLqivZlkUkAMtvWSIYlntN9YXtemdfjepC74Z8dz+TOhZyVLY9RSvSFsEAz4fz+7ya9E8J3oX0FxAT2Xt9Y1FSWrjg6lTLxI34Ueu58Drlje297aRXVu7ehmbvNPoPMupGSaqjx1224ScZao2yyRxRvlkcGxsBc9x0AAVJWSM8YcS5zNxBxRf5rMSTeTvka0+zHWjGYe6wBq61qFEkaXZcsWzdYRb0u+dDPOVPN7DkSZbsgswGOunDF3Zj5hpKqXHuNUXXLbVsEHiPwkeKuJ1DYq72sNmi7u9+pJ3Ym/6VKu27aiu0ibE8+aPJIhFB7x0o58DWprEuZlviASFnvBpp5qLXmYozOHNJGmko3m7RgVsp8RUb2l3ugPYd6N2kJO2po2TJd7bMurercXgVjPoVLRkiZTc+sxJB47R8SLvcrfsU9tmzKdmMVHCQe1gecK3be4RYusb+5ynObbMLVxZPaysnicNrXV9CjuR3HWsT5onsn89sv8u/n+PyXyfz/L4XheL17q5PLtoSnjL6tWrrb6l8SRuFC6/mlHNK7xB/eXAyFS4z3/AE6VceH+kqShLpaLd29bxu2tafIt0TG0EggjSEBeWODmhw0EAjpXAaobmcbt2RrvdIPUVh6GGtg/VMpm6zfuXULzoD215q4rS4qxaNJqsWW5cU5RFzOLxcvnZ9wkc7e16FNjypNMgyoc1uS7CnLunmDRex+JayNGkCo6MVZxJ8txMjuqsWIl6I5xrnj34nNGnSOdWMa7yTT3GJKqFy9EVydkWdXuSZtbZpZODbi2fvNBruuGhzHUp2XNqCsSVVQ2hNxdUelOEOOMk4nsmS2crY7wNrcWD3DxYyKB2GG82pwcPIcFUlBo6tu6prYWFaEpovb6ysbZ91ezx21tGKyTSuDGipoKk8qylUw2ltZ5/wDqh9RjxPcssbAFmTWr95hcKOmkAI8Qg4taASGt6TsFq3bp3nNyL/PsWhQ1IViTZR4l50DALmdRu7FEktreTFyCUYZRHWR8moCg6f8AUub1KfhUSzjR2tjRcYuDvhiKsk8uwBg6TU+Zc/PlsSOr0uG2UiwLmHZEnETxvQx6wHOPTQBX8Jasu4q1YnV4tinOmMmIhkG8xzCHDkdh6FbxbkoPmjsaZJG3GcHGW1M5zmmXSWN0YnVMZxiftb619K6fnRybakvNvXBnguoYMse44vy7n2EeGV0bqjQdIXQi6HNu21NUGDXNc0OaagqZOpy5RcXRki2uXQuppYdI9SxKNTRoZxyMkaHMNQVA1Q0JFreXFq/eidTa04g84WGqge2eeW0wDZfgycvdPT61C4NG1RiCCKg1B0ELQH0Eg1BodqA2tvLpuiV3WT50oDP8wvP6rliiFDW+5uHijpHEbCTRZoDWhkwlmiibvyvDG7SaLKRgUXufjFlqMf6rvQPWpI2+JiolkkfI8ve4ucdJOJUhg0XFyyFuOLjoat4xqZSFkkj5HlzzUqZKhuaJ5hG3a46AsSlQms2nN9gvc4uJJNSdKhOmkkqIt/AGUlt7HnE8TZI7d1baOQHddIND9WDDo5eZeZ+ocutt2Iujl5mty4e34Fe7melJUSb7TqA4vzKuMUNOZ3+8vn3/AISzxl93yM/+dvcI/f8AMkQ8YuwE1sDtLHU8hB86gudCX6Ze9E9vrz/VH3MaWnEOV3JDRJ4Tz7MnZ8ujyrm3+mXre2lV2fap07HVLFzZXlfb9qDJc86J9QAgEec5MHB1zbNo4YyRjXyjlXrei9baatXXs3S/B/P7K7j5H6ZCBeyL4IC0cC8QOsMwFjM4m0u3BoGpkpoGu6dB+xWMe7yum5nJ6rh+pDnXmj8C0/UrMvy7gLPbrX8pJE06MZx4Q0cr11bSrJHlTyHZN7bnbBTrXXtlXLexIf2DKQV94k+hYm9pzZF/ym1Adb29MGgb3LQVKpSZkf38m7EGjS4+QLfHjV1I5MrmaTkvEIODcXc6nm9xGy0cOcNRwxxyzx+Ley0LGEV3K6AB73KtNC3Zs011Ln/ljMvD3vh1pXc3jXm0U8qh/kRLvoSKpxFwwy4EnwvBv2Yg4DeOmjttdqmTTVUVLtmveU3LpnRzmF2AcaEHU4LeD2lJFjy+SrXRnViOlQ5EdtSSLFGbW7RcTRkdiQVpyOGKiiyRHPcwiIhkae8w+UFXYPaYWpX75vcdzhb3DoYj1R3b8/uv+275j5k/N+B8lv7x3tz5vwvDr/yMOZc3l/ylw5T+ovLX2f1Sv5j3L+G3uYxTQPCETv7URK87mRpc7z2/RLnNjpcG1+P4nM1UOqWPLH79jEdg3eo0W6JVoSVkyXLLJfFy+B33ADztwPmXEvxpNmyJKiMj23fvwMdtaK86qSVGU5KjNq1MFutJvGto5dbmgnn1ri3I8smjlTjRtG0gEUOhaGhSr23NvdSwn2HGnNpHkXftT5opnlr9vkm48DSpCIQ3cBhncz2dLeYr0mNe9SCe851yHK6GlTkZDuoCCZG9094bCuzg5NVyPUinHeRl0SMyjkkje2SNxZI01a9pIII1ghAPofqDxtDH4bM6uy3a+QvP7z94rXkjwJVenxFeZZ1m+Zva/Mb2e8cyu548j5N2und3iadCykloaSm3qyGsmplFE6R26Ok7FFevK3GrMpVGLGBjQ0aAvPXLjnJyZOlQyUZke2UHg27WnvHtO5yvO5d71Jt7joWocsTeqxKWvI7cw5ewkUdL2z06PIuLlz5pvsPRYFvltLt2jBVi4VnOZvFv30xEYDB0afKV1caNILtOlYjSJCVgmEt+/fun7G9kdCtW1sLVtbBbmOXw31sYpMHaY362ldDBzZ49zmjpvXFFbOwo5Fvll7HwZR54XwTPhf3o3FppoqDRfQ8e/G7BTjoz59k487M3Ca2o+wzuiOGLTpCsRlQp3bSmu0nMe17d5pqFMnU5s4OLozbFNJE7eYabRqKNVNGhhBexSYO7DuXQonBo0aJK0MG2C7uYD8KRzBs1dRwWGkwT4uILptBIxrxtxaVo7aM1JDOI4vbhcOYg+pY9MVM/8xWv9J/k9ax6bFTW/iMexB0l32LPpipEmz2+kwaWxj7ox8tVsoIVIMkskjt6Rxe7a41W1DBg5zWirjQDWVkEOfMB3YsT7x9Ckjb4myiQS4uJJNSdJKlNjTNO2MU0u1BaylQntWXPuILnOc4ucakqFs6MYpKiHHDfD8ua3G+8FtnEfiv2nTuN5fMuX1PqKx40XnenzIMi+oLtOjxRRxRtijaGRsAaxo0ABeGnNybb2tnHbbdWZLUwCAEAxy3PL2xIa13iQ64naOg6lRyun272uyXEv4nUblnYnWPB/bYXDLsztb+LxIHYjvxnvNPKvK5WJOzKkveesxcuF+NY+4lqsWgQFcz7LBC/5qIUiefiNHsuOvmK9z9P9U9WPpTfjjp2r5r4HQxr1fC9ROvTFwEMD7j3PBmf0ZzgPcfmrUWkUxJqXf4qKj6/eXYwLnM1xR5DqWL6VzZ5ZbV8jzxY+30eld22cPL3Fhy+nhRbK+laT1Oe9TouUU+cb+E06lSloZYwzGu+zZRT42jIpFeaGuzdgk7hmaHV93eHoW0tTSOp1/hZrTmLiQCWxOLeQ1aMOgqDJ8p2LHmLWqJbK1xYIvmICP4u4d/8Nez5aq5jVoytf1Rx7MQ0Z7PuaPHPXvY+VWVqce55mO8v/jH8J84TI8pmJFzr/qm/gHnKqxJUc9zWni3ezek85VyG4xvKze/w28/oU1zQvYnmZ0bfl/7eaez+b0/Z0/3lR/8At9hfN/6r8oZHmuQ5w0O37iCa0lPsgQPEjOk+O5eez47Uz1H09d8M4cGn7/6HBFzj0Y6yOSsMketrq9B/1LaJJEZLY2LJw3Pv2j4jpjdUczvtquXmxpJPibIbqmZGuVyb0Lo9bDhzFV7q2le6tpNUREPeH7neifbk4sO83mOnyrn5kNvMUsqG2o2VIqCPiSyJDbtg0dmTm1H0Lo4N39LOT1OxpNe0QLpHHI19a+PFh/Ebi31K3iZHpy2+VkV23zLtEhBBIIoRpC9AnU54LKYIs1nXGPD7pXTsdQpsn7yOUOBGdG9ho5pC6cLsZaOpG1QxW5gACcAKrDaWoN8dpI7F3ZHLpVO9nQjptZuoMmRxsjbutC4929K46slSoZKIyTsttC94meOw3u8pXOzsnlXItWWLFurqxsuKXSTltmbu7ZF7OmQ7GjSor93ki2T41n1JpFyAAAAFAMAFwT06RruZmwQPldoYK851BbwjzNI2hGroVFznOcXONXONSeUrspUOqlQwe8MY550NBJ6FslUylUQOcXOLjpJqelW0XEYTSNiifI7usaXHmAqtoxq6GSjTfFc5zu84kk8pXp8TJlZezTgc7OwYZEKS13PgRnNLTQr1Fi/G7GsTwuViTsS5Zr8z7HI9jqtNFOnQpzgpKjJkV0x+B7LtmpSxnUoXMdx02o3Lcrm2K5mjwa6o904hauKZholMzFvttI5RitHbMcpvbd27tDwOfDzrVxZihsEkZ0OB6VrQwfd5u0IDEzRDS9o6Qs0Yoan3tu32t47AFlQZmhokzFxwjbTlOK3VszykWSWSQ1e4lbpUNqGBIAqTQbVkylUizXnsx/vKOU+BctYu+RFJJNTiTrUZdSoO+HuGbjM3iaWsVkD2pNbqametcnqPVI2FyrbPhw7yrkZKhsXmOh21tBbQMggYI4oxRrRqXirt2VyTlJ1bORKTk6s+yTQx/wAR7WfiIC3tY1y55Iyl3I0cktTD520/rM6wp303IX6Je4x6keJta9jxVjg4bQaqpO3KDpJNPtNk6n1aGQQG+0u57Sds8Dt17eojYeRRX7EbseWS2E1i/K1JSi9pecszGG/tRMzsuGEjNbXLxuXiysT5X7D2mHlxvw5l7UTFVLZhNEyaJ0TxVjxQhS2L0rU1OOqMxk06opl3bPtrh8LtLDQHaNRX1HEyY37Ubkf1I7EJ8yqalZNyLnkrjwznFp/KubU7+nAwubM0in3o+pW8G5y3V2nN6pY57Le+O04/YntOG0V6l6m2eHy1sTH1g6tuBraSPSsT1ObI6FlVy0y283svA/tCnpVKSMjrMGExtePZOPSt8eW2hHIrmZwuZMJRofr2EKea2kTLvwxxJ47GSRyeHfRCkrPe5QNYKjlFSVGX7N6veW5vFkvh0dbNMlO8HENr+Gh86r/xlxLn8jsKtxFxEIGvubl4fdPHwYtuzDU0f6YqxGKiqIq3btNr1KFZMkuLszPO8QS97jrccfOt4KrOfqyx5fH3nnmHpUeTLREkRXm0zTdSOJ7MYpXm0qGKJEc8zCUmOV50vJ/tFXYLaYWpXr44MHOVvcOhiLVnbPypv/bRXwPj0+a11r89TxP/AJK51f8AKXCx/qNyL8z+mdzctJ8XKZ4bxrWt3i5tTC8HYA2YvP4VysyFbfcdfol7kyEv3Jr8fwPIi4x7UnZPN4d2GnRIC3p0hZRtEfLckGWQ3Pg34YTRsw3Dz6R6lVy4c0O4yi0rkmxIsZvCuG17ruyelaXI1RpcjVDpVSqb7K5NtcslGgGjhtadKjuw5o0NLkOZULW1zXNDmmrXCoPIVx2qHLaofJI2SRujeKscKOHIUjJp1RrKKkqPQp+YWMlncOidi3Sx21q7tm6pxqeZyLDtSoyMpSAhX1gJviR4S6xqKv4mZyeGXl+BBds821ailzHMcWuFHDSCu3GSaqik1Q+LJgFkGPhx+6OoLdXp8X7zFEfQ0DQKcy1cm9WZPq1AICZZ5e+Uh8g3YvKVRys1Q2R2y+BPas12vQbtaGgNaKAYABcNtt1ZdSPoBJAAqToCwZSqWzJ8u+Ut6vHx5MX8mxq4uVf55bNEeiwsb047fMyeqxcEmf3lS21YdHak9AV/Et/qZdxofqE6vFshZnNuxCMaX6eYKW1HbUltR21FSsFgWcQXPhWPhg9qY7vQMSrWHCs68DDKuusakPNbkwW4Le+5wDejEqS1flbdYvaV8rHhdhyzVURrXMIpaNf2JNmo8y9DidShd2PwyPG53SLlnxR8UPvXeS10TkG2O5kZhWrdhWyk0Q3LEZEhl3E7vdk+RSKaKk8WS02m4Oa4VBBHIt6kDi1qfUNQQAgBACAxfJGzvOAWG0jeNuUtEaJL1owYKnadC0dwswxHvI0ksjz2jXk1KNtstwtxjoEUUksjY4mF8jjRrGipJ5AFrKSiqt0Rs2lqW/IuCaFtxmmrFtsD/fI8wXmc/rn6bP8AxfI59/M3R95bJJILWCpoyNgo1oFNGgALg4+PcyLnLHbJ/arOZOdNrE13m1xMS2M+FHyaTzle0wehWbSrPxz7dPcUp329NhBJJNSaldxKhAfEBlHLJG7eY4tdtBoo7tmFxUkk12mU2tBrZZyahlz0SD0heX6j9PKjlZ/4fkWreRukNgQRUYg6CvJtNOjLYLAGGS5k6wvWvJPgv7MzeTb0Kln4qvW2v1LQvdPy3ZuJ/pepewQQCDUHEFeLaoe2TqfUMiLiW1q2O5aMR2H82kL130vl7ZWn/qX4l3DnrEQr2JfMZY2SxvjeKse0tcNoIoVmLo6o1lFNUe84zNBJY5lLbyd6KR0btmBpVeus3FJKS3ngMuy1zReq/AaZfLSQsPtYjnCmuI40kXHILsPgNu49uLFvK0+oqpcW8wi52Nw26tqOxeBuyD0qDR1NWiHd2gFY5BVjtBV6E1NEbQnksbmB+/CSd01a5uDh1LVwZrobRnGehvh/MS05dPXSq1ozb1JcTU2zvLmQyTF1Xd58hJcevFbKDZrtY1s7MACKIUA7zvSVvKSgjZIY3M0dpbYaQKMG0qg25OpIkU7PLzwrUsrWSeo5ae0VNBbTZlNzGXuxjV2j6FctreIihtvNfZjDaW7S+aZ7YYmDSXPNAOsrS5I6uPGke89i/wCW4v8AJ3+W9/4f5f8Al/i/+D4W/wClcjm8VSYnZxllvmuUXuV3NRb38EttMW6dyZhY6nLRy0lGqob2rjhJSWqdTwTmuW3WWZnd5bdt3Lmymkt526aPjcWuHWF5+UaOh9HtzU4qS0aqRmPcx7Xt7zSCOcLU3LRDI2WJsjdDgD1rclNjXOa4OaaOaag8oRqoLpZXLbm1jmHtDtDYRgR1rh3Ycsmjc3LQDqyuPGhBJ7bcHetVZxoyrONGSFoaDrI78U+VkOOmInyhUMuz+pFPJtfqQ5VEpka/sYryAxvwcMWP1gqazedt1RBkY6uxoypXVrNazGKVtHDQdRG0LtW7imqo85dtStypI1LcjNU9tDOKPbjqcNIU9nInbexmk7alqLpsqmbjGQ8bNBXUtdRg/NsKssdrQivgmZ32OHKQrkL0JaNELg1qjWpDU+tY9xo1pJ5BVYlJLVmUmyRFl11J7O4NrsPJpVW5m24769xJGzJk+3y2GI7z/iO5dHUubez5z2LYizCwlrtJiok4ICxZLk5ipc3A+JpjjPs8p5Vy8rKr4Y6HawcLl8ctdyHKoHUI99eMtYDI7F2hjdpUtq25uhJbtuToVWSR8j3Peaucak8pXXSSVEdNKioYkgAk4AYkrJkR3Mxmmc/VoaOQK3GNEW4xojUtjYqmeXfzF84NNY4uw3nGk9a6+Lb5Yd5qxerJgRZzP4lz4YPZiFOk4laMjkyAsGp3z6S/RfLeKPp6c0zKeW3vryeT8uuIzvBkMR8PtRmgdWRr9ezFd/AvzUNrqjxXWuRX6RVKLb3iPiv6J8b5AXyxW35pYtxFxZ1e4Cp78X8QUAqTQtG1dWF+L7DklCc1zSWuBa4aQcCpgfASDUGhWQ1U2NuJhoeenHzrPMyJ2YPcZC7mGsHoWedmjxoH35ybk6k52Y/ixMTdznXToTnZssaBg6aV2lxWOZkitRWiMVqbm60sry8mbBaQSXEzu7HE0vceYCqivX4Wo805KMVvboZUW9iLJa/T3NmyhuZkWeALoqh8lDiKgGgqOXoXDu/UdlxrZ8fbovz+20rZV/0ny08RassyXLstZu2sQDyKOldi8859S89lZ12+/G9nDccq5elPVk5zg1pc40AFSeQKrGLk0lqyFsrd/eOuZi7QxuDG8n2r6N0zAjjW+X9T1f24HOu3OZkZdEjBACAEAIBtk98Q75aQ4H+GdnIvLfUHTU160FtXm+Zax7n6WN148uAgLtw1eG4yxrXGr4D4Z5hi3yYLyPVrHJebWktvzPY9Iv8AqWUnrHZ8hsuYdQjZlB41jNHpJaS3nGI8oV/pd/0siEu37nsZJZlSSZTV9QOwCApH1G4YmjtoeI4Wj5WaX5S6oRVswbvMJFa9tldA9nHSu90y7WHK9x5XrFtRvV/cip2s5c0OB7bNK7MXVHl79vll2MsGX3zmOZcRGj295vnCgnHcVXsLllmZh4bcQOoRg9h8oKrSiZLFb3dtds3TQO1xnT0KNVi6o1aMZMvGmN1OQ+tWI5HE1cTV8hPtHWt/5ETHKbI8v/qO6G/atJZPBGeU2TXFtaR0wB1MGkqBtye02SEGZZkKOuLh26xuDWjzDlW0YmxTcxv3SyPuJcBoY3YNQCtQjuMaldurggOkd3naOdTt0RYs2+Z0Oh/p/wCDpM04ndntzC45flIJikI7Lrp3caKjHcaS400Hd2qhkzoqcTqHpRUACA8r/qZ4QflnF8WfwRUss5jHivaKNbdRDdeDQUG+zddtJ3lyc63SXNxPYdCyee1yPWPwOOKkdwcZJc1Y6Bxxb2mcx0rZMkixotjYccO33hzG2eexLizkd9qpZlqq5luMosa5hsb7S4MEod7JwcORaTjVGk41Q6BDgCDUHEFVSqfWuLXBzTQg1BG1YaMFkyvMm3TNx5pO0YjaNoXLv2OR1Whz71rldVoT1XIDReWVvdxeHM2vuuGkHkKktXZQdURXrEbipIrV/k91aEup4kOqRurnGpdezkxn2M4ORhTt7dY8SArBUBACA+UGxZqYPqwZBACA229rPcSbkLC92umgc5Wk7kYqrZJbtSm6RVSx5ZkkVrSWWkk+r3W83rXLv5bnsWxHbxcFW9r2yGapl8wnnigiMkh3WtW0IOTojaMW3RFXvr2S7mL3YNGDG7AutatKCodK3bUVQjqUkF+ZXVB4DDie+eTYprUd5NajvFqnJyFm98LS0c4H4r+zHznX0KfHtc8uwwyorsmpruZ2wQPld7IwG06gsMwysOc5zi5xq5xqTylaEZLybKbzN82s8qsm793fTR28DTgN+RwaKnUMcStoxcmkiO7cUIuT0Sqe8sjyi2ybJrHKbWvy9hBHbRE6S2JoaCeU0qV34xoqI+dXbjnNyerdSatiMTZ9wbwrn7XDN8rt7t72hpncwNmDQagNmbuyN6HLaM2tGChZv+nLg27e+TL7m6y5ztEYc2aJvMHjf63qeOTJagqN9+mfPmO/wOcWszNs7JIT1N8VSLKW9GRLcfp7+oUR+Gy1nG1k4H98NW6yYgrV39OeK7S6ltZ7ZjZYXFj6SxkVGnEFRSz7SdKl+3029OKklsfafYvp3n7+86GP8Tyf7oKjfU7S4k8ej3nwQ6yP6ST305jusxbCGt3neFGX1oQKVcWbVxur/UqxLanGHNV02unHsZtPpDgqykXbLfpBwhaEOnZNfPwwmfRtRsbGGeUleHyvrXOubIuNtdi2/fX8BHCgtdpbrHLcvy+LwbG2itotbImNYCdpoMV5nIyrt6XNclKb7XUsxgo6Io+azGbMrmQmtZHAcwNB5AvYYdvktRXYeGzbnPek+0iKyVSBnMxjtNwHGQ06BiV3vp7G9S/zPSCr7dxBkSpHvEK92UAQHSuA/pKc1tIs0zp74LOWj7e1joJJGaQ5zjXda7VrPIqORl8rpHU6+H03nXNPTgXa5+kHA8sDo47WS3eRhNHNIXDmEhe3yKqsy5xOhLpllrSntOTcccCX/C13GHyC5sLivy9yBTEaWPbjRw6j1gdGxfVxdpxMzDlZfGLKwpymfWOcxwc00c01B5QtZwUouL0YToWqGQSRMkHtgHrXy7Isu3clB/pbR1IuqqZKE2LDwdMRdTw6nsD+lpp/tLh9ct1hGXB09/8AQ73QblJyjxVfd/Uta80enPiIFImZ4c0kfuOLeo0X1qzc54RlxSZ2ouqqYKU2LZwnkuX8QcPZ1kV/U2921gcG95pxLXt1Va5oI5lfwp0boed65HbF95564m4czXhXPp8rzCMtlhPYfTsSxE9mRh1td5NBxXoLdyqqjz1yCkqGFrdFhEkZq095qsNKSOXODTox1YZg+Nwlt30d7TT5iFBKHEi0LFZ57bS0Ep8GTae7XkKgcGZqO4M1umtBbIJGaq9ry6VG4ihv/Orn3GV5j61jlFDTNm105pq8Rt17uHlKyoiglvM8tYq7rvHlOw1FeVykUGKlev8AMZJneLcPwHdYNA5AFNGHAxqI7q6MhL3ndY3QFYSSRJCDbojXk2TZpxHnFvlmWwmW5uHbsbdTRre46mgYkqC5cS2s6lq2oI9d8G8K2HC/D1rk9m1vwWh1xMBQyzuA8SV2k9o6KnAUGpcuc3J1JB0tACApf1g4LPF3At9l8LN/MbcC7y4Y1M8IJ3Bi3GRhcwVwxrqUORb54NF/puV6N5Sflex9322niggg0OkaVwj3pst5nQTMlbpadG0awhlMs0UjJI2yMNWuFQtyUza5zXBzTRwNQRqIRqoLdld+28tg4/xWYSjl29K41+1yS7DZExQmSdl95uHwpD2T3TsOxQ3IV2ohuQrtQ0UBAfWPfG8PYS1zcQQsNJqjMNVLDlubx3AEcpDJ9A2O5uVc2/juO1aFC7Ycdq0GKqlcEAvu8jsbirg3wpD7TNHSNCtW8uce1FO9gW57dH2Cqfhy9ZUxObKNQ7p8uHlVyGdB67DnXOmXF5dpCky2/jNHW7+cAkdYVhX4PeirLFuLWLNRtrgGhifX8JW/PHiR+lLgzJtleO7sEh5mlYd2C3o2Vib0i/cSochzKSlYxGDreQPIKlQyzLa31J4dPuy3UGVrw1AyjriQyH3G9kdelVLmc35VQv2umRXmdRtFDFCwMiYGNGoCipSk5OrOjCCiqJUM1qbGm6u4LaPfldTY0aTzKS3bc3RG8IOToit31/NdyVd2WDuMGgfaupasqCOjbtKKIylJCPeXTYGYYyHuj0reEKm8IVEznFxLiak4kqyWjFzmtaXONGtFSTqAWUqgqOaX7ry5Lx/Cb2Yxybeldmxa5I03mjZDU4Euc3W/IIGnssxd+L7Fo2aSYtWDQ7r+l7gp11nF3xbdR/4fL2utcvJrjcStpI9pB9iI7pqPb5F0MG1t5jz3X8qkVaWr2vu/r8D0sumeUBACAEAIAQHGeITXPsx//Mzf3yuTd8z7z2+H/sw/0r4C9aFkccMj/Eyn7npXmPqh/wCGP+r8CnmeVFjXhznggOavJL3E6SSV9Aith87k6sxWTAoz44wj8XoXr/phbJvu/Ep5W4Ur1RVJ+Q2kN5nmXWk4rDcXUMUo0Va+RrXeQrS46Rb7CSzFSnFPe0epGtaxoa0BrWijQMAAFwD2Z9QFW+p9nBc8EZmJQCYWtmicQCWvY8GoroJFW8xVjFdLiKfUIp2ZVPOi7R5QEBY8rJNhFXlHU4r531tUy5+z/pR0bHkRKXKJRzwqSM1A1Fjqrl9YX+D2o63RX/n9jLmvJHrwQFLzD/rrj/mv/vFfU+n/APb2/wDRH4HYteVdxoVwkLp9MSfnr0ajE0/2lbxNWcPrnkj3jv6gcA5TxlkzrO6AivYqusb4Cr4nnzsd7TfSAV0rdxxZ5s8q8Q8O55wvm0uW5pAYZ4zgdMcjNT43e007ejSunbuJqqNLltTW00W90CQWO3XjVrU6aZz7llx7hhFmJGEja/eHqWrt8Cu4kuHMI2mscpjPOWqNwZijN/5tPT/q3f8AzPtWOTsG00zZgx2MkxkPKS5ZUGKMiS5jqjb0n1LdW+JnlIFxdAHekdvO1BbtpE9uy5aBlGT5xxDmcWXZZbuuLqU9iNmgDW5x0Bo1k4KCdym1nQt2lBHqL6ZfTSw4Ky2RviC6za7ob27oQ2je7HGDoY3rJxOoDm3brm+wkLoogCAEAIDyV+oT6enhvis5xZxkZTnbnzNoOzFc1rLHX7xO+3RpIHdXIzLPLKq0Z7To2b6tvlfmh8NxylUzsDPJ73dd8u89l2MZOo7OlbJm8WOVsbkmwvZLO4ErMW6Ht2hRXbSnGjCLfBPFPE2WI7zHCoK404OLozczWoGFjf0pFMcNDXnzFQ3Le9ENy3vQyUBACAZ2WdzQ0ZPWWP3vaHrVS7iqW1bGVrmOntWwdW93b3DaxPDto1jnCoTtyjqinKDjqbloaAgBACAEAIAQHxz2saXOIa0aScAspV0MpVFd5nsTKsth4j/fPdHrVu1iN7ZbCzbxm9RJNPLNIZJXFzjrKvxioqiLkYpKiMFsbEe6u2QN2vPdb61vCFTeEKieSR8jy95q4qylQspUMVkyV/Ps03ybSE9gfxXDWR7K6OJYp4matiRXzBGv7sW0Bd/Mdgwcu3oWGzDdCuElxJJqTiSVoRk3JMnv86ze0yqwj8S8vZWQwt1bzzSpOpo0k6gtoRcnREd27G3Fyloj3PwjwzYcMcO2OR2I+BZxhpeRRz3nF8jqa3OJK71uCjFJHz3Jvyu3HN6sbrcgBACAEAIAQHHeJ4XRcQ5g1wIJne8V2PO8PIVyrypNntcGVbMO4VqMtjfhp3+MkbtjJ6iPWvNfU8f8EX/d+DKmYvCu8si8Kc4EBzm7j8K6mj9x7m9Rove2Z80E+KR8/vw5ZyXBs0qQiFefRkxxSamktPT/AKl6n6YupTnDik/d/Uq5S2JiZewKZnDNLBNHNE4slicHxvGBDmmoI5ijVTKbTqj0nwZxZY8SZRHdQvaLuMNbe2w70chGw47rqdk6+cFcO9ZcJUPW4uTG7Cq13j5Qlk5h9Y+MLOPLXcO2koku53NdehuIjjYd8NJ1Oc4A02adIV/CsuvM9Dj9Uyko+mtXqcaXTOACAs1jH4dnE3Xu1PTivmvU7vqZE5dvw2HStKkUb1QJB5wizezJ7tTIia8pIC5HWpUspcZHZ6HGt5vhEuC8qesBAUq8cHXk7hodI8jpcV9Wwo8tmC4Rj8Ds21SK7jSrJuXn6Ywu8W/n9kNYzpJJ9CuYi1OB1yWyK7y+q6eeFXEvC+ScSZY/Ls3tm3Fu7FjtD43jQ+N4xa4fYcFtGbi6oHBOM/0+8Q5Y+S54ef8AmtiKuEBoy6YKk0pg2Sgpi3E+6rkMlPXYDmV1FmeXXL7W9hkguIjuyQzNLHtI1EGhVuNwhnjxZ8bfD2m9RW/qELxODPvzsWx3k9az6iNP4kuKPhvm+y0nnWPUNliPez5E6+u5WwW0bpJXkNZHE0ucSdAAFStHcJ440V2nSOD/AKBcU5wW3Ocu/JrI9rdkbv3DsdHhVbuftHoVWeSlptJjvfCfBXDvCtj8rk9qIi8N8e5d2ppS0U3pHnroKNGoBU5zctQPFoAQAgBACAr/AB5wZl3GPDN3kl7RnjDftbndDnQzt7kjQdmg0Iq0kVxUd22pxoyziZUrFxTX9UeIs9yW/wAkzi8yjMI/DvLKV0MzcaEtNN5tQKtcMWnWMVwpxcXRnv7V2NyKlHRkEEg1GBGgrUlLBlt8LmLdcfis7w2jat0zdOpMWTYn5Xmj7KShq6B3fZs5RyqvfsKa7TKZaopY5Y2yRuDmOFWuC5EotOjNjJYBMtL98VGSdqPVtCinbroRTt10GkcjJG7zCHNOsKBqhA1QyWDB9a5zXBzSWuGgjArDVTDVSdBnd7FQOIlb97T1hV54sH2EMseL7CfFxDbn+JG5h5KOHoVeWHLcyB4r3MktzjLnfzac4I9CieNNbiN2J8DZ+Y2P9dnWtfRnwNfSlwMXZrl7dMzTzVPmWVjze4yrM+Bokz6xb3d6TmFPPRSRxJs3WNIhT8QTuwhjDOV3aPoU8cNLVk0cVb2Lp7q4nNZZC/YDo6tCswtxjoixGCjoa1ubAgIV1mLGVZF2n+9qClhbrqSwt11Fj3ue4ucauOklTpE6VDFZMibOc5EQdbW7vi6JJB7PIOVXcbGr4paGGyurpmpjLIyKN0jzRrRUlYBW7y6fczGR2A0NbsC1bIm6mlYMHpT9Nf01dY2juMs0h3bq7YY8ojkaN5kB784riDJ3WnDs10hy6mFZouZnleuZ3M/Si9i17+Hs+Pcd3V886CAEAIAQAgBAcr4+gki4lne4dmdkb2cwYGedpXNyV4z1vSZp2EuFfmV1QHTJ2SS+HmUVTQPq09Iw8q5HXLPPiy4rb7vyIMmNYMtq+bnKBAUjiW2MGayOAo2YCRvTgfKF6/pV3nsJb47DxvV7PJfb3S2ipdI5hqu4BPbvi1uHZPKNCuYGU7F6M+GvdvNLkeZUKw9rmOLXCjmmhHKF9LhNSSktqZzGqHxbA3Wl7eWVw24s55La4ZXdmhe5jxUUNHNIOIWHFNUZtGbi6p0Y2n444vnh8GXN7oxkUIEjmkjYS2hKjViC3InlmXWqOTEalKwICTl9qbi4a2nYbi88gXO6pmrHsuX6nsXf+RJahzMsi+bnSBAWzhC2LLaa4I/iuDW8zftK811u7WcYcPxPT9Cs0hKfF/AsC4Z3jXNIIoXyHQxpcegVUuPady5GC/U0jMVV0KQSSanSV9ZSodoFkydH+mto6PKri4OieWjeZgp5yr+KvDU8x1q5W4o8F8S3q0cYEAICHmWS5NmjGszKwt75jMWNuImSgc2+DRZUmtAU6++hv01u2uDcsdaved4yQTSgjkDXOewD9lSrImt4FJ/TlwFvV+YzAD3fGip/9lVbfyZAaWP0K+mtrGGyZa+7eDveLPPNvcxEbo20/ZWryJ8QW/KeHshydhblWX29kHANeYImMc4DRvOAq7pUbk3qBgtQCAEAIAQAgBACA479f/pP/mPL3cSZRH/71l8R+ZhaDW5gYN6gAGMjPZ2jDYqeXj8y5lqjudH6j6UvTl5Jfc/keVlyD2BlFK+KRsjDRzdCGUyxWd5HcxbzcHDvt2FbpkidSQsmSbluaTWT6DtQuPbj9I5VBesKa7QmWm1u4LmISQu3mnSNYOwhcmdtxdGbm1aAzimkidvMcQdexYcUzDimMYM0Y7CUbp94YhQStcCCVrgTGvY8VaQ4bRiomiJoyQAgBACAEAIAQAgI019bxYV3ne63Fbxttm8bbYvuL6aaorus90ekqeNtInjbSIy3NwJAFTgBpKARZrnumC0dyOmH+z610MfF3y9xq2IV0DB8c5rWlzjRoxJKAQZjfm5fuswhaeyNp2laNkbZDWDU6P8ART6XS8aZ+Li+ieOHMvcHX0oJZ4r6VZbsdpq7S+mhusEtVrFsc7q/Kjl9Uz1YhReeWnzPYUcccUbY42hkbAGsY0UAaBQAAaguyeIbqZIYBACAEAIAQAgKH9TbEb1nfNaakOhkdqAHaYPK5UsuOjPQdDu+aHt+33FFVM9AZRvdHI2RveYQ4c4NVpcgpxcXo1Qw1VULrDK2WFkre69ocOlfKL9l25uD1i6HFlGjobFEYE3E+Xm5sfGYKyW9Xc7D3vWut0jJ9O5yvSXx3HI6xi+pa5lrH4bymL1Z5EEAvzPLfH+LEPijSPe+1eh6N1j0f8dzybnw/Ir3rPNtWojc1zSWuBBGkFe3jJSVU6ootHxZAIAQG23tpriQMjbU6zqHOq2Vl27EOabp+PcbQg5OiLDZ2kdrFuNxccXu2lfPuoZ88m5zPTcuB0LdtRVDeqBIbIIZJ5mQxjee8hrRylaXLihFyeiN7dtzkorVnQbO1Za2sVuzuxtpXadZ6SvDX7zuTc3vPeY9lW4KC3G9REwsz+48KwLAe1MQ0c2krv8A07jepkc26Cr7dF8/YWMWFZV4FXX0A6gIDr/CVn8pw7ZR1qXx+KTSn8Xt+QGi6lmNII8Z1C5z35Ptp7tg3UpSBACAEAIAQAgBACAEAIAQAgBACAEAIDzT9ffo0cumm4t4dgJy+ZxfmtjGMIHnTNGB/Lce8PZOPdNG8zLxqeKPtPV9H6nzJWpvxbnx7O/4/HhS556E2QTywSCSM0cNOwjYUMpj+yvorpnZwkHeYdK3TJE6klZMm22up7aQSQuLXa9hGwhaTtqSowWOwz23uKMmpDNy908xXMvYso7VtRsmM1VMggMmSPYascWnkNFhqphqpKjzO4b3qPHLgfIo3aRG7SN7M1iPfYRzUPqWjss0dlm1uY2h0uI5wfQsemzX0mZfP2n9TyFY9Nj05Hw5haD2/IfUnpyHpyNbs0txoDndC2VpmytM0vzWQ9xgbynH1LZWkbKyiLLczy995I2aB5FIopEiikalsbAgI93f2tozemfQ6mDFx5gpLdqU9DBXMxzi4u6sHw4fcGv8RXTs40YbdWYbF6smDGSRkbC953WtxJKwBFmGYuuDuMq2EatZ51q2RtkJYNS0fT36fZ3xvnrMty5vh28dH3984ExwRE946N5x9lus7BUiWzZdx0RUzcyGPDmlruXE9ncL8M5Twzkdrk2VReHaWraAmhe9xxdI8ilXOOJ9S7kIKKojwmRfldm5y1Y1WxCCAEAIAQAgBACAUcV5YcxyO4ha3elYPFhH3mY+UVCivQ5otFzAv+ndT3aM5AuWezBDJYuHLzfhdauPaj7TPwnT1FeJ+psLlmry0lsff+a+Bz8u3R8w5XlimfCARQ6EMFKz/J3WNx4kQ/wsp7B90+76l6/pud60KPzr7+08f1PB9GdY+R/d2CldI5YIDRc2VvcD4je1qeMCr+H1K9j+R7OD0+3cRztqWovlyF38qUcgcPSF6Cz9Tr9cPd+fzK7xeDNYyK6ri9lOc+pWH9S2P2z+75mv8aXYSIciiBrLIX/dGAVDI+pptUtxUe17ft95JHGW9jGKGKJm5G0NaNQXnb+RO7Lmm+ZliMUtDJQmwIC2cM5OYGfOztpK8fCafZadfOV5rq2dzv046LU9R0jA5F6kvM9CwLhndBAVTPLz5i8LWmscPYbz+0V9F6FhehYTfmntf4fbtOpjW+WPeL12iwTMny5+Y5nbWTP5zwHEUwaMXHHY0EraEeZpEGTeVu25Pcdpa1rWhrQGtaKNaMAAF1zw7dT6hgEAIAQAgBACAEAIAQAgBACAEAIAQAgPkkcckbo5Gh8bwWvY4VBBwIIOpAnQ8u/Wz6Hz5BJPxFw5CZcieS+7tG4utCdJA1xf3deGK5WVi8vijoev6V1VXKW7nn3Pj+ZxdUTumUcj43h7CWuGghDI6sc2jlpHNRkuo6itkzdSGC2NgQE6yze8taNDt+Mfy34joOpV7uPGfeZqO7XP7KagkPgvOp3d/e9ao3MScdNpmoxa9r2hzSHNOgjEKs1QyfVgAgBACAEAIAQAgIt1mdlbVEko3h7DcXdQUsLE5aIxUTXnEc8lW2zfCb75xd6gr1vDS820xUUve97i97i5x0uJqSriSWhgxWQabq8htmb0hx1NGkrDZhsQ3l9Ncu7XZYO6waAtWzRupHWDUsvAP0/z7jXORl2Vx0ijo69vXg+FBGT3nHWTTstGJ6yJbNlzdEVczMhYhzS9i4nsbgfgnJeDsiiyjKo+y3t3Ny4fEmlIo6R58w1DBdq1aUFRHhsvKnfnzS/oWBSFYEAIAQAgBACAEAIAQHIuLMn/ACvOZomNpby/Ft9m44939k1C5d6HLI9l0/J9W0m9VsYmUReNtrcyW07Jmd5h0bRrCr5WNG/bduWjNJwUlRlxt7iO4hZNGateKj1L5flY0rNxwlqjkTi4ujNqgNTXPBDcQuhmaHxvFHNK3t3JQkpRdGiO7ajOLjJVTKZnGQ3Fi4yR1ktScH628jvWvWYPUY3lR7J/bQ8jndNnZdVth9tRUukcwEAIAQAgBAfQC4gAVJwACN0CVSzZHw2WltzfNxGMcB87vUvPdQ6rXwW33v5fM9H07pNKTuruXz+RZV589ECAXZzmAtbYtYfjyYM2ga3Lt9D6b/Iu80l/jjr29nzJ8e1zPboiqr6IdQEMl8+m+TuAmzWVuDh4NvUctXuHm61dxYfqPPdayNLa72XpXDgAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAQCCCKg4EFAee/rD+nyaWafiDg2AO36y3mTMoDvaXPthrrp8P93U1c7IxP1R9x6bpnWUkoXX3S+fz9556kjkikdHI0skYS17HChBGBBBXNPTJ1MUBNs81ngox/xI9h0jmKymbKQ5t7y3uB8N2OtpwI6Fsmbpm5ZMggNkNxPCaxSOYde6SFrKClqgT4eIcwZg8tlH3hQ+SirSw4PTYZqTI+J2/wAyAjla6vnAULweDFTe3iSwOlsjecD0FRvCn2GamY4gy33nfulY/hzFTF3EWXjRvnmb6ysrDmKmqTia2H8OF7vxUb5qrZYMt7FSLLxLdO/hRMYOWrj6FNHCjvZipBnzK+nwkmcQfZHZHUKKxCxCOiMVIqlAIDF8jGNLnuDWjSTgsAWXedAVZbCp/qHR0BYbNHIUvkfI4ve4ucdJK1NT4hgvf0x+kfEHHN5vxA2eSwupdZnI07tfciGHiP8AINZFRWxYx3cfYc/P6jDHXGfD5nrfhLhDIuE8liyjJoBDbR9qR5xklkIo6SV3tONOjQKAALsW7agqI8Vk5M70+ab2jlbkAIAQAgBACAEAIAQAgBAIeMciObZWfCbW7t6yQbT7zP2vOob9vmj2nQ6bl+jc2+V6/M5Q5rmuLXAhzTQg6QQuYevTqfEMjDKMzNnLuPxt3ntDYfeC4vWOlLJhWP8AuR07ez5Fe/Z51s1LS1zXNDmmrXCoI0EFfPJwcW09jRy2qGS1B8IBBBFQdIKJ0MNCTMOFrOcl9sfl5D7IFWHo1dC7GN1icNk/EvvOPldGtz2w8L+4Q3XD+a25NYTI33o+15Bj5F2rPU7E/wBVO/YcO90u/b/TXu2/mL3xyMduvaWuGoihV5STVUyjKDTo0fKHYs1NaGyG1uZjSGJ8h+60nzKOd2EPM0iSFmc/KmxpZ8LZjMQZqW7NrsXfuj0rnX+sWoeXxM6djo16fm8KLHl2R2NjRzG7839V+J6Ni4OV1C5e2N0jwR38Tp1qztSrLixgqJfBAR729htITLIfwt1uOwK7g4M8m5yR9r4G9u25uiKjdXMtzO6aU1c7QNQGwL6TiYsLFtQhovtU60IKKojUrJuTcnyq4zTMIrOAHtkeI8CoYyvaecRoW8IOToivk5EbUHJ/1Ox2VpBZ2kVrAKRQtDGDXQazyldWMUlRHirtxzk5PVm5ZNAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgOa/VD6IcP8Ztlv7Tdy3iEgUvWj4c27obOwadm+O0OUCirX8aM9ujOrgdVnY8L8UOHDuPLvGPAnE/CF+LPPLN0Bk3jb3DSHwzNaaF0cjcDqqD2hUVAXJuWpQdGeuxsu3fjWDr8UIFGWQBLSCDQjQQhkn2+cXMdBJ8VvLgetZqZUhjBmtnLQF3hu2Ow8uhbVNlJEsOa4VBqDoIWTY+oAQAgBACAEAIAQGma9tYf4kgB90YnqCxUxUXz55qgZ+071BY5jVyFs1xNM7eleXHVXQOhamrZrQwbLW1ubu5itrWF89zM5scMMTS973uNGta1tSSSaABZSb0MSkkqvYjvf0y/TZNN4Oa8a/Dgc3fjyVjiJDU4fMPaexhjutNccS0ghdCxhb5+485n9cS8Nn/i+R6HtbW2tLaK1tYmQW0DBHDDG0MYxjRRrWtFAABqXRSoeYlJydXtZtWTAIAQAgBACAEAIAQAgBACAEBzzj7hr5eU5raMPgyn/FMAwY86H4ana+XnVHJtU8SPSdJzeZenLVafbsKYqh3AQDHK83ksz4b6vtycW628oXE6r0aGSuaPhucePf8AMrXrCntWpZoJ4Z4xJE4PYdYXgcjHnZlyzVGc2UXF0ZsUJgEAID4WgihAI2FZTaMNVMRDCDURtB5gtvUlxZr6ceCMlobn1ACAEBEv8yt7NlXnekPdjGk+oLpdP6XdypeHZHfL7aktqy5vYVa8vJ7uYySmp9lo0AbAvoWHhW8eHJBfmdO3bUVRGhWyQ+sY+R7WMaXveQ1rWipJOAAAQw2kqs6nwbw1+U2ZmuGj5+cfEOncbpDK+f7F0rFrlW3U8l1LN9aVI+RfapYlOc0EAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgImbZRlmb5fNl2Z20d5Y3Dd2a3laHNcAajmIIqCMQcQsSimqM3t3JQkpRdGjgnHv6YDWW94MucMXflN07nO7DOeoCTpcufdwd8T0eH17ddXtX4r5e44TnfD+d5Heuss3sZrG6b/LnYWEipG82uDmmmBGC584OLo0eitXoXFWLTRAWpICAyjlljNY3lh5CQhmpKjze9ZpcHjY4eqizUzzMkMz2QDtxA8xp61nmM8xtbnsXtROHMQU5jPMZfnlr7j+oetOYcx8Oe2+qN556D0pzDmNbs+92Hrd9icxjmND86u3YNDWcoFT5VipjmI0t5dS135XEHSK0HUFipirNKGAQH1rXOcGtBc4mgAxJKA6lwN+nnjXiB7LjNYzkWW17T7ppFw4AkEMgNHDnfujZVW7WHKWuxHIy+tWrWyPjl2ae89GcEfS/g7g2Fv5TZNdfbu7LmM/xLh2FDR57gOtrKBdK1YjDRHl8rPu334ns4bi2KYpAgBACAEAIAQAgBACAEAIAQAgBAfJI2SMdHI0PY8FrmuFQQcCCCjRlNp1RzLjDhGTK5DeWbS7L3ntAYmInUfunUejZXnX7HLtWh6np3UFdXLLz/ABKuq51gQG61vLi1fvwvLTrGo84VXKw7V+PLcVfiiOdtSVGPrPiG2lo24Hgv97S0+pePzfpu7DbafPHhv/P7bCjcxWtNo1ZIx7Q5jg5p0OBqF525blB0kmn2lZprUyWhgEAIAQAgNNxd21u3emkDBqB0nmGlWcfDu3nS3Fy+3E2jBy0QlveI3Oqy0buj+q7T0BeqwfppR8V51/tWntZct4m+Qle973F73FzjiXHElephCMVSKokXUqaHxbmT61rnODWguc40a0YkkoYbodG4M4QNiG5jftpenGCKp+G0girvvEHRq51fsWKbXqeZ6l1H1PBDy7+0t6tHGBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBAQs4yPJ86s3WWbWUN9auxMM7GvaDSm82o7LhXAjFayimqMktXZW3WLaZyPir9L/Cd/vzcP3c2UTmm7bvJuLfAUw3z4ort3zzKpcwYvTYdrH6/djsmlL7n8vuOQ8R/QL6l5LvPGXDM4G/zsvd49eaOjZv7CpTxJx3VO3Y6xj3N/K+3Z+RQLq0urSd8F1C+CeM7skUjSxzTsINCFXaa1OlGSaqtqNSwZBACAEAIAQAgAAnQgLNw99M+POIQx+U5LczQSYsuXt8KE80su4zyqaFictEVL2dZteaS/E6twt+lW/lLJuJ81Zbx1q60sB4khFNBmkAa012McrcMD9zOPkfUEVstxr2v5f0OzcIfTDgjhMNfk+WxtvAKG/m+LcHDdNJH13N4aQyg5Fdt2YQ0RwsnPvXvPLZw3FpUpTBACAEAIAQAgBACAEAIAQAgBACAEAIAQHySNkjHRyND43gtexwqCDgQQUaMptOqOd8UcCSWofeZYDJbA1fbYl7BrLfeaOtUL2PTbE9Jg9VU6RubJceJTlVO0CGQQGcU88Lt6KRzDr3SQob1i3cVJxUu81lFPUnxcQZizBxbJ+If7tFyL307iz0Tj3P51IJYsH2ElnE8gHbtwTyOp6CqE/pWL8txr2V/FETw1xMv80f8A039v/wCFR/8Aqn/7P+X/APIfwu01ycTTn+HC1v4iXebdU9v6WtLzTk+6i+ZlYa3siTZ3mMtR4u406mCnl0+VdKx0PFt/p5n27fy+4mjjwW4hOc5zi5xLnHSTiV1YxUVRKiJkqHxbGQQG21tbi6nZb28bpZpDRjGipKyk26I0uXIwVZOiOkcKcGQ5a0XV+1k18aFrTRzYqYilfa5epX7Njl2vU8xn9Sd3ww2Q+P5FpVk5IIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAiZlk+U5pB4GZ2VvfQDERXMTJmfuvDgsOKepvC5KDrFtPsKZmv0J+luZPkkfkjLaaSvxLWSWENJNatjY4RD91QSxbb3F+31bIj+qvfR/mVa7/SxwLIx/wArmOZQSu7he+GRjf2fCYT+8ongw4stx+oLy1UX7/mJJv0lwl1YeJ3Nbqa+yDj1idvmUb6euJYX1E98P+b8jV/2lv1cTj/0f/3yf+P7Tb/2L+z/AJvyPo/SVjjxRQcljX/9wE/8f/d9xj/2L+z/AJvyGuXfpS4Yjr+Y51e3JI7Py7Ireh/aE63WBHe2Qz+obj8sYr3v5Fiyr9OH0usmFtxaXOZONKPurh4Ips+X8AdYUkcO2t1Stc63kS0aj3L51LpkvA/B2SGN+U5LZ2c0Q3WXEcLPGodspBkOnW5Txtxjoihdy7tzzSb9v4DtblcEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgK/n3BeWZpvzRj5W9camdgqHbd5lQDXbpUFywpdjOjidSuWtj8UeBz7OeGc2yqR3jxF8ANGXDBVhGrRo5iqNy1KOp6PGzrd5bHt4CpRlwEAIAQAgBACAEAAEmgFSdQQwWbJeBM1v8AdluR8nbHW8dsjkZh5VYt48pa7Dl5PVbdvZHxS+73nQsoyTLspgMVlFub1PEkJq95ApVx9AwV6FtRWw85kZU7zrJk5blcEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAIAQAgEWY8FcPXu842/y8rqfEgO5o+7iz+yoZY8XuOhZ6nehvqu37VK1efTO9ZQ2d5HNpq2VpjI2Upv18iryxHuZ1LfW4PzRa7tvyE93wVxHbEf4UzAiu9CQ/7VFLHmtxct9TsS/VTvIE2SZxAaS2UzK44xu9S0duS3FiOValpJe80iwvyaC2lJ2bjvUteV8Df1ocV7yTFw7nsrQ6Ownc04V3CPOtlak9xHLMsrWS94zteAOIp2hzo2QA6pX0I6GhykWNNlW51axHe33Dmw+mTRuuzC8JwO9FAKY6qPd/uqaOJxZRu9b/AGR9/wAvzLVlnD+UZYB8pbNZIP5zu1Iaih7RxFdgwViFqMdEcm/l3LvmezhuGCkKwIAQAgBACAEAIAQAgBACAEAIAQAgBACAEAID/9k=

## popup.css
#title {
  font: 28px sans-serif;
  text-align: left;
  font-weight: bold;

}

#heading {
  font: 18px sans-serif;
  text-align: center;
  font-weight: 500;
  background-color: lightgrey;
}


#sub {
  font-weight: 500;
}
table{
  font: 14px sans-serif;
  font-weight: 300;
}

#table2 {
  border-spacing: 0;
  border: 1px solid grey;
  font: 14px sans-serif;
  font-weight: 300;

}
#r {
  text-align: right;
}
#table2 td  {
  border: 1px solid grey;
  border-spacing: 0;
  padding: 3;
}

## popup.html

<html>

<link rel="stylesheet" type="text/css" href="popup.css" media="screen" />
<script src="//d3js.org/d3.v3.min.js"></script>
<script>


function classes(root) {
  var classes = [];

  function recurse(name, node) {

    if (node.children) node.children.forEach(function(child) { recurse(node.name, child); });
    else classes.push({node});
  }
  debugger;
  recurse(null, root);
  debugger;
  return {children: classes};
}

function formatNumber (num) {
    return num.toString().replace(/(\d)(?=(\d{3})+(?!\d))/g, "$1,")
  }

function startpopup(){

  d3.json("sustainix.json", function(error, root) {
    if (error) throw error;

    rank = window.location.search.split('=')[1];
    debugger;
    data = classes(root)

    data.children.forEach(function(child){
      debugger;
      if (rank == child.node.rank16){
          d3.select('#co').html(child.node.company)
          d3.select('#rank').html(parseInt(child.node.rank16))
          d3.select('#long').html(child.node.longname)
          d3.select('#code').html(child.node.code)
          d3.select('#industry').html(child.node.industry)
          d3.select('#sector').html(child.node.sector)
          d3.select('#country').html(child.node.country)
          d3.select('#rank15').html(parseInt(child.node.rank15))
          d3.select('#energy').html(formatNumber(parseInt(child.node.energy)))
          d3.select('#ghg').html(formatNumber(parseInt(child.node.GHG)))
          d3.select('#water').html(formatNumber(parseInt(child.node.water)))
          d3.select('#waste').html(formatNumber(parseInt(child.node.waste)))
          d3.select('#LTIR').html(parseInt(child.node.LTIR))
          d3.select('#fatal').html(parseInt(child.node.fatalities))
          d3.select('#emp').html(parseFloat(child.node.empl_turnover).toFixed(2))
          d3.select('#ceo').html(parseFloat(child.node.avg_pay).toFixed(2))
          d3.select('#pension').html(parseFloat(child.node.pension - 0.40491339046).toFixed(3))
          d3.select('#board').html(parseInt(child.node.board_div))
          d3.select('#man').html(parseInt(child.node.manag_div))
          d3.select('#pay').html(parseInt(child.node.paylink))
          d3.select('#overall_score').html(parseInt(child.node.score))
          d3.select('#local').html(formatNumber(parseInt(child.node.market_cap_local)))
          d3.select('#market_cap').html(formatNumber(parseInt(child.node.market_cap)))
          d3.select('#revenue').html(parseFloat(child.node.revenue).toFixed(2))
          d3.select('#EBITDA').html(parseFloat(child.node.EBITDA).toFixed(2))
          d3.select('#last_price').html(parseFloat(child.node.lastyear_price).toFixed(2))
          d3.select('#current_price').html(parseFloat(child.node.current_price).toFixed(2))
          d3.select('#change').html(parseFloat(child.node.change).toFixed(2))
          d3.select('#EPS').html(parseFloat(child.node.trailing_EPS).toFixed(2))
          d3.select('#PE').html(parseFloat(child.node.PE).toFixed(2))
          d3.select('#PB').html(parseFloat(child.node.PB).toFixed(2))
          d3.select('#divid').html(parseFloat(child.node.div_yield).toFixed(1))
      }

    })


  }

)};

 startpopup()

</script>

<body>
<table width="100%">
<tbody>
<tr>
<td colspan="4">
<p height='90' id = 'title'><span id='co'></span>: <span id='rank'></span> / 100</p>
</td>
</tr>
<tr>
<td colspan="4">
<p><b>Long Name:&nbsp;</b><span id='long'></span><br><b>Code:&nbsp;</b><span id='code'></span><br><b>Sector:&nbsp;</b><span id='sector'></span><br><b>Industry:&nbsp;</b><span id='industry'></span><br><b>Country of Origin:&nbsp;</b><span id='country'></span><br><b>2015 Ranking:&nbsp;</b><span id='rank15'></span><br><b>Overall Score:&nbsp;</b><span id='overall_score'></span></p>
</td>
<td  style="text-align: center;">
</td>
</tr>
</tbody>
</table>
<br>
<table id='table2' width="100%">
<tbody>
  <tr id='bord'>
  <td height='35' width='50%' id = 'heading' style="text-align: center;" colspan="2">Sustainability measures&nbsp;&nbsp;</td>
  <td height='35' width='50%' id = 'heading' style="text-align: center;" colspan="2">Financial Measures&nbsp;&nbsp;</td>
  </tr>
<tr>
<tr id='bord'>
<td id='sub'>Energy Productivity (US$)</td>
<td id='r'><span id='energy'></span></td>
<td id='sub'>Market Capitalisation (US$)</td>
<td id='r'>
<p><span id='market_cap'></span></p>
</td>
</tr>
<tr id='bord'>
<td id='sub'>GHG Productivity (US$)</td>
<td id='r'><span id='ghg'></span></td>
<td id='sub'>Market Capitalisation (local)</td>
<td id='r'>
<p><span id='local'></span></p>
</td>
</tr>
<tr id='bord'>
<td id='sub'>Water Productivity (US$)</td>
<td id='r'><span id='water'></span></td>
<td id='sub'>Revenue</td>
<td id='r'><span id='revenue'></span>%</td>
</tr>
<tr id='bord'>
<td id='sub'>Waste Productivity (US$)</td>
<td id='r'><span id='waste'></span></td>
<td id='sub'>EBITDA</td>
<td id='r'><span id='EBITDA'></span>%</td>
</tr>
<tr id='bord'>
<td id='sub'>LTIR</td>
<td id='r'><span id='LTIR'></span></td>
<td id='sub'>Last Year Price</td>
<td id='r'><span id='last_price'></span></td>
</tr>
<tr id='bord'>
<td id='sub'>Fatalities</td>
<td id='r'><span id='fatal'></span></td>
<td id='sub'>Current Price</td>
<td id='r'><span id='current_price'></span></td>
</tr>
<tr id='bord'>
<td id='sub'>Employee Turnover</td>
<td id='r'><span id='emp'></span>%</td>
<td id='sub'>% Change</td>
<td id='r'><span id='change'></span>%</td>
</tr>
<tr id='bord'>
<td id='sub'>CEO/Average Worker Pay</td>
<td id='r'><span id='ceo'></span></td>
<td id='sub'>Trailing EPS</td>
<td id='r'><span id='eps'></span></td>
</tr>
<tr id='bord'>
<td id='sub'>Pension Fund Status</td>
<td id='r'><span id='pension'></span></td>
<td id='sub'>P/E</td>
<td id='r'><span id='PE'></span></td>
</tr>
<tr id='bord'>
<td id='sub'>Board Diversity</td>
<td id='r'><span id='board'></span>%</td>
<td id='sub'>P/B</td>
<td id='r'><span id='PB'></span></td>
</tr>
<tr id='bord'>
<td id='sub'>Management Diversity</td>
<td id='r'><span id='man'></span>%</td>
<td id='sub'>Dividend Yield</td>
<td id='r'><span id='divid'></span>%</td>
</tr>
<tr id='bord'>
<td id='sub'>Paylink</td>
<td id='r'><span id='pay'></span>%</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
</tbody>
</table>
</body>
<html>

## sustainix.css

title {
  font: 22px sans-serif;
}

text,#legend {
  font: 16px sans-serif;
  border-color: white;
}

circle.selected {
    opacity: 0.5;
    stroke: black;
    stroke-width: 3px;
}

#myhead,#status {
  font: 20px sans-serif;
}

#circles {
  font: 16px sans-serif;
}

#info {
  font: 12px sans-serif;
  font-weight: 400;
}

table {
  vertical-align: middle;

}

.legend rect {
  fill:white;
  stroke:black;
  stroke-width: 0;

}

## sustainix.js

d3.json("sustainix.json", function(error, root) {
  if (error) throw error;


  function openPopup () {

        //opens popup.html when company name is clicked
        rank = d3.select('circle.selected').property('__data__').rank16
        var left = (screen.width/2)-(800/2);
        var top = (screen.height/2)-(600/2);
        specs = 'toolbar=no, location=no, directories=no, status=no, menubar=no,'
        specs = specs + ' scrollbars=no, resizable=no, copyhistory=no, width=700, '
        specs = specs + 'height=560, top='+top+', left='+left
        url = 'popup.html?rank=' + rank
        title = ""
        window.open(url, title, specs);
        }

//sets custom colour scale
  var my_color = d3.scale.ordinal()
        .range(["#514774", "#8e1813" , "#e3602e","#9ecbc7", "#4490ac" , "#7abb4f","#fadfe1", "#eb7489" , "#507983","#f4a736", "#ffe493" , "#3c6208"]);

//sets diameter, format, custom radius scale and radius value
  var diameter = 500,
      format = d3.format(",d"),
      rScale = d3.scale.sqrt().range([3,15])
      rValue = function(d) { return parseInt(d.value)};

//creates a D3 bubble pack
  var bubble = d3.layout.pack()
      .size([450, 450])
      .sort(d3.descending)
      .padding(5);

//creates the svg
  var svg = d3.select("#vis").append("svg")
      .attr("width", 700)
      .attr("height", 450)
      .attr("class", "bubble");

//sets 'on change' for #circles option box in html

  d3.select('#circles')
  .on('change', function() {
    draw_chart();
})

  function draw_chart(){

    //label
    d3.select("#status")
    .html("&nbsp;&nbsp;Click on a circle for more info.");

    //removes all nodes if they exist
    svg.selectAll(".node").remove();

    //sets the nodes for each data (classes breaks down the JSON hierarchy)
    var node = svg.selectAll(".node")
        .data(bubble.nodes(classes(root))
        .filter(function(d) { return !d.children; }))
       .enter().append("g")
        .attr("class", "node")
        .attr("transform", function(d) { return "translate(" + d.x  + "," + d.y+ ")"; });

    //appends circles to the nodes with a 'sector' legend and colour scheme using custom scale
    //calls update_status on change

    node.append("circle")
        .attr("data-legend",function(d) { return d.sectorName})
        .attr("r", function(d) { return d.r; })
        .classed('selected',false)
        .on('click', function(d,i){ update_status(d,i,this)})
        .style("fill", function(d) { return my_color(d.sectorName); });


  }

  function draw_legend(){

    //draws legend from functions in d3.legend.js (from mike bostock bl.ocks.org)
    var select = svg.append('g')
              .attr('transform', 'translate(505,100)');


      select.append('text')
        .text('Sectors Key')
        .style('font-size','20px')
        .style('font-weight','bold')
      .attr('class', 'title');

            //d3-legend
      legend = svg.append("g")
      .attr("class","legend")
      .attr("transform","translate(510,130)")
      .style("data-style-padding","30")
      .call(d3.legend)

  }

  draw_chart()
  draw_legend()


  function update_status(d,i,circle) {


    debugger;

      function formatNumber (num) {
        //adds thousand separators

        return num.toString().replace(/(\d)(?=(\d{3})+(?!\d))/g, "$1,")
      }

      function get_value (num) {
        //integers or floats?

        if (Number.isInteger(num)==true){
          num = parseInt(num)
        } else {
          num = parseFloat(num).toFixed(2)
        }
        num = formatNumber(num)
        return num

      }

      // remove selected class from all circles that have it
      d3.selectAll('circle').classed('selected', false);

      //add the selected class to the element that was clicked
      d3.select(circle).classed('selected',true)

      //finds myvar - the text inside the circles option box.
      myvar = d3.select('#circles').property('options')[d3.select('#circles').property('options').selectedIndex].innerText


      value = d.value

      if (myvar =="Overall Ranking"){
        value = (value/10)
        value = 100 - (value-1)
        //flips the ranking (lowest ranking have largest circle)
      }


      if (myvar == "Defined Benefit Pension Fund Status (%)") {
        //Python cheat to scale pensions so they are all positive
          value = value - 0.40491339046
      }

      //changes the status cell on the table with the 'on click' event for the company
      d3.select("#status")
      .html("&nbsp;&nbsp;<b><div id='pop'>" + d.company + "<span id='info'>&nbsp;(click on the COMPANY NAME for more data)</span></div></b><i>Ranking</i>: " + parseInt(d.rank16) + ', <i>' + myvar + '</i>: ' + get_value(value));

      d3.select('#pop').on('click',function(){ openPopup()})

        };

});

// Returns a flattened hierarchy containing all leaf nodes under the root.
function classes(root) {
  var classes = [];

  function recurse(name, node) {

    //value = search variable (as found in option box #circles)
    myvalue = d3.select('#circles').property('value')
    if (node.children) node.children.forEach(function(child) { recurse(node.sector, child); });
    else classes.push({sectorName: node.sector, rank16: node.rank16, value: node[myvalue],company: node.company});
  }

  recurse(null, root);
  debugger;
  return {children: classes};
}

d3.select(self.frameElement).style("height", 500 + "px");

## sustainix.json
{"sustain":"all_data","children":[{"sector":"Communications","children":[{"rank16":"8.0","scaled_rank":"930.0","market_cap":"4222070619.2136","company":"StarHub ","sector":"Communications","rank15":"24.0","longname":"StarHub Ltd","code":"STH:SP","sector":"Communications","industry":"Wireless Telecommunication Services","country":"Singapore","energy":"4307.440896891635","GHG":"34496.90583659244","water":"67704.7647496876","waste":"57101786.96061849","LTIR":"0.2743066138372448","fatalities":"0.0","empl_turnover":"14.00000019202707","avg_pay":"38.91613189454545","revenue":"0.006975349116223267","EBITDA":"10.15161502966381","pension":"nan","board_div":"0.0","manag_div":"44.0","paylink":"100.0","score":"71.82499999999999","lastyear_price":"3.6","current_price":"3.4","change":"-5.555555555555558","market_cap_local":"5863986971.13","trailing_EPS":"0.233","PE":"14.54935667340848","PB":"26.4169060144607","div_yield":"5.88235302883036"},{"rank16":"23.0","scaled_rank":"780.0","market_cap":"14281098077.90848","company":"Koninklijke DSM","sector":"Communications","rank15":"nan","longname":"Koninklijke DSM NV","code":"KPN:NA","sector":"Communications","industry":"Chemicals","country":"Netherlands","energy":"311.9398962798821","GHG":"2904.011910108857","water":"103.363131089499","waste":"670156.5366625348","LTIR":"0.1500000053056283","fatalities":"0.0","empl_turnover":"8.519999937561806","avg_pay":"25.68832527206771","revenue":"0.04574944071588367","EBITDA":"6.931608133086876","pension":"0.3654939611346622","board_div":"42.85999966668896","manag_div":"19.9999994947575","paylink":"100.0","score":"67.61875","lastyear_price":"3.34","current_price":"2.989","change":"-10.50898203592814","market_cap_local":"12750980426.704","trailing_EPS":"0.12","PE":"24.88333384195964","PB":"3.70560322212719","div_yield":"12.99397225197896"},{"rank16":"27.0","scaled_rank":"740.0","market_cap":"50163632625.42937","company":"BT Group","sector":"Communications","rank15":"15.0","longname":"BT Group PLC","code":"BT/A:LN","sector":"Communications","industry":"Diversified Telecommunication","country":"United Kingdom","energy":"3353.477660592631","GHG":"131543.3514708694","water":"25533.612190671818","waste":"16373880.39366243","LTIR":"0.3000000106112566","fatalities":"0.0","empl_turnover":"0.7891770011274","avg_pay":"85.91364535266975","revenue":"0.02886182584012453","EBITDA":"5.162172984516817","pension":"0.0","board_div":"27.272000806988224","manag_div":"12.49999968422344","paylink":"100.0","score":"66.22864583333333","lastyear_price":"465.0","current_price":"390.3","change":"-16.06451612903226","market_cap_local":"38886536918.9375","trailing_EPS":"0.297","PE":"13.15319844769308","PB":"3.208953385479075","div_yield":"3.581936804400665"},{"rank16":"51.0","scaled_rank":"500.0","market_cap":"24930509421.726","company":"Telenor","sector":"Communications","rank15":"nan","longname":"Telenor ASA","code":"TEL:NO","sector":"Communications","industry":"Diversified Telecommunication","country":"Norway","energy":"1465.452483538458","GHG":"16189.680305850863","water":"33833.526016212054","waste":"5728488.036001694","LTIR":"0.07199999885187935","fatalities":"1.0","empl_turnover":"2.9000000000000004","avg_pay":"50.63765762323271","revenue":"0.003794610692156203","EBITDA":"16.360295239897678","pension":"0.38652418760079765","board_div":"36.3629987987224","manag_div":"30.0","paylink":"100.0","score":"62.37447916666666","lastyear_price":"160.3","current_price":"136.2","change":"-15.034310667498449","market_cap_local":"204348437883.0","trailing_EPS":"0.9700000000000004","PE":"140.3092846427996","PB":"3.590982445562376","div_yield":"5.514705882352941"},{"rank16":"53.0","scaled_rank":"480.0","market_cap":"19048025779.35","company":"TELUS ","sector":"Communications","rank15":"37.0","longname":"TELUS Corp","code":"T:CN","sector":"Communications","industry":"Diversified Telecommunication","country":"Canada","energy":"2221.681527919287","GHG":"28260.948730831326","water":"17065.531924308427","waste":"10870743835.78447","LTIR":"0.6999999868639861","fatalities":"0.0","empl_turnover":"3.8","avg_pay":"137.8619072945205","revenue":"0.01529408337460308","EBITDA":"14.453572793274741","pension":"0.37915640204641626","board_div":"23.0","manag_div":"20.0","paylink":"100.0","score":"62.32864583333334","lastyear_price":"43.64","current_price":"42.92","change":"-1.649862511457378","market_cap_local":"25397367705.8","trailing_EPS":"2.587102","PE":"16.58999071893776","PB":"3.147360202652747","div_yield":"4.19384891033617"},{"rank16":"82.0","scaled_rank":"190.0","market_cap":"7922200631.7807","company":"Pearson","sector":"Communications","rank15":"68.0","longname":"Pearson PLC","code":"PSON:LN","sector":"Communications","industry":"Media","country":"United Kingdom","energy":"9155.310415580112","GHG":"61886.659697844385","water":"5447.000928423627","waste":"4004637.799285742","LTIR":"0.85","fatalities":"0.0","empl_turnover":"23.50000067963265","avg_pay":"39.16077856420627","revenue":"0.05603274728224399","EBITDA":"15.61812582490101","pension":"0.41675861288703314","board_div":"29.999999242136248","manag_div":"23.07999966433272","paylink":"100.0","score":"57.90416666666667","lastyear_price":"861.5","current_price":"746.0","change":"-13.406848520023221","market_cap_local":"6141240799.83","trailing_EPS":"-0.606628","PE":"0.0","PB":"0.9489873191884777","div_yield":"6.965840589417281"},{"rank16":"91.0","scaled_rank":"100.0","market_cap":"25736435610.9504","company":"Vivendi","sector":"Communications","rank15":"35.0","longname":"Vivendi SA","code":"VIV:FP","sector":"Communications","industry":"Media","country":"France","energy":"8270.992332062575","GHG":"153656.1271628115","water":"nan","waste":"12008089.98119156","LTIR":"0.5520000172509754","fatalities":"1.0","empl_turnover":"23.0","avg_pay":"24.39812838990826","revenue":"0.01310195069433039","EBITDA":"17.08272404428661","pension":"0.388096556837604","board_div":"36.0","manag_div":"0.0","paylink":"100.0","score":"56.06944444444445","lastyear_price":"21.915","current_price":"17.85","change":"-18.548939082819977","market_cap_local":"22978960366.92","trailing_EPS":"0.697597","PE":"25.60217519621151","PB":"1.236359500669804","div_yield":"11.19194180190263"}]},{"sector":"Consumer Discretionary","children":[{"rank16":"1.0","scaled_rank":"1000.0","market_cap":"54348119977.80481","company":"BMW","sector":"Consumer Discretionary","rank15":"6.0","longname":"Bayerische Motoren Werke AG","code":"BMW:GR","sector":"Consumer Discretionary","industry":"Automobiles","country":"Germany","energy":"8170.588550956358","GHG":"73108.77182078625","water":"24086.026136365374","waste":"10330995.78753345","LTIR":"1.02","fatalities":"0.0","empl_turnover":"1.4099999816608029","avg_pay":"78.39198282380026","revenue":"0.05248449467868516","EBITDA":"18.33742489386808","pension":"0.37519174423875223","board_div":"30.0","manag_div":"11.11111111111111","paylink":"100.0","score":"80.08749999999999","lastyear_price":"93.093","current_price":"74.7","change":"-19.75766169314557","market_cap_local":"48525107123.04","trailing_EPS":"10.16883","PE":"7.342044626777061","PB":"1.123182707833214","div_yield":"4.284375482238206"},{"rank16":"5.0","scaled_rank":"960.0","market_cap":"36308213783.18401","company":"adidas","sector":"Consumer Discretionary","rank15":"3.0","longname":"Adidas AG","code":"ADS:GR","sector":"Consumer Discretionary","industry":"Textiles, Apparel & Luxury Goods","country":"Germany","energy":"25188.4488265414","GHG":"346454.3415994098","water":"56291.93671017561","waste":"6378674.068378265","LTIR":"0.305224172265545","fatalities":"0.0","empl_turnover":"18.0","avg_pay":"126.8447435868621","revenue":"0.008699810972693525","EBITDA":"22.09054998480705","pension":"0.38316900775894314","board_div":"33.33299900987186","manag_div":"11.0","paylink":"100.0","score":"73.05833333333332","lastyear_price":"81.27","current_price":"155.0","change":"90.72228374553957","market_cap_local":"32418048020.7","trailing_EPS":"4.7","PE":"32.96808445707281","PB":"5.355764701863944","div_yield":"1.032258079897973"},{"rank16":"20.0","scaled_rank":"810.0","market_cap":"47286731097.60001","company":"H&M Hennes & Mauritz","sector":"Consumer Discretionary","rank15":"75.0","longname":"Hennes & Mauritz AB","code":"HMB:SS","sector":"Consumer Discretionary","industry":"Specialty Retail","country":"Sweden","energy":"5169.046667341589","GHG":"65607.81987422546","water":"14026.929862606126","waste":"7783525.252901549","LTIR":"nan","fatalities":"0.0","empl_turnover":"9.959999999999999","avg_pay":"46.91005025125629","revenue":"0.001399770447627127","EBITDA":"20.30387050004858","pension":"0.3989475452545811","board_div":"49.99999873689376","manag_div":"39.999998989515014","paylink":"100.0","score":"68.32249999999999","lastyear_price":"332.3","current_price":"246.3","change":"-25.880228708997887","market_cap_local":"407644233600.0001","trailing_EPS":"11.33","PE":"21.73874695955497","PB":"8.335089836851145","div_yield":"3.961804144656643"},{"rank16":"21.0","scaled_rank":"800.0","market_cap":"6656486400.26808","company":"Marks & Spencer Group","sector":"Consumer Discretionary","rank15":"16.0","longname":"Marks & Spencer Group PLC","code":"MKS:LN","sector":"Consumer Discretionary","industry":"Multiline Retail","country":"United Kingdom","energy":"5100.378414554088","GHG":"31167.94567584411","water":"14026.929862606126","waste":"16643682351.83326","LTIR":"nan","fatalities":"0.0","empl_turnover":"18.99999915622175","avg_pay":"122.6363561371071","revenue":"0.0","EBITDA":"10.57791537667699","pension":"0.46112305115235924","board_div":"38.0","manag_div":"40.0","paylink":"100.0","score":"68.11749999999999","lastyear_price":"513.0","current_price":"319.0","change":"-37.8167641325536","market_cap_local":"5160066976.952","trailing_EPS":"0.248893","PE":"12.75648571876268","PB":"1.495678991705852","div_yield":"7.347839557571915"},{"rank16":"43.0","scaled_rank":"580.0","market_cap":"25443768031.136","company":"Kering","sector":"Consumer Discretionary","rank15":"nan","longname":"Kering","code":"KER:FP","sector":"Consumer Discretionary","industry":"Textiles, Apparel & Luxury Goods","country":"France","energy":"12037.891038699427","GHG":"107920.8475738873","water":"17491.6407424612","waste":"2529512.926331109","LTIR":"0.810000017281709","fatalities":"0.0","empl_turnover":"20.580000000000002","avg_pay":"60.99665186901372","revenue":"0.003070570621430652","EBITDA":"20.38067484310643","pension":"0.39972286327969175","board_div":"36.4","manag_div":"36.0","paylink":"100.0","score":"63.731770833333336","lastyear_price":"168.55","current_price":"179.85","change":"6.704242064669219","market_cap_local":"22717650027.8","trailing_EPS":"5.445606","PE":"33.03580793331071","PB":"2.063833682221411","div_yield":"2.222222222222222"},{"rank16":"48.0","scaled_rank":"530.0","market_cap":"75451783722.1008","company":"Daimler","sector":"Consumer Discretionary","rank15":"60.0","longname":"Daimler AG","code":"DAI:GR","sector":"Consumer Discretionary","industry":"Automobiles","country":"Germany","energy":"4416.730912411372","GHG":"52746.38021096694","water":"11657.662665307445","waste":"871380.5337477464","LTIR":"1.8","fatalities":"3.0","empl_turnover":"4.9000000217347415","avg_pay":"119.4311117458051","revenue":"0.03537750827693421","EBITDA":"15.613497931663458","pension":"0.3440280053782109","board_div":"25.0","manag_div":"12.5","paylink":"100.0","score":"63.15208333333332","lastyear_price":"78.407","current_price":"63.02","change":"-19.624523320621883","market_cap_local":"67367664037.59","trailing_EPS":"7.450000000000001","PE":"8.452349157141358","PB":"1.311629815146188","div_yield":"5.159549134783298"},{"rank16":"50.0","scaled_rank":"510.0","market_cap":"34711500821.75999","company":"Ecolab","sector":"Consumer Discretionary","rank15":"47.0","longname":"Ecolab Inc","code":"ECL:US","sector":"Consumer Discretionary","industry":"Chemicals","country":"United States","energy":"1752.120797312285","GHG":"20440.45708632474","water":"1849.654258736723","waste":"208392.3201682919","LTIR":"0.69","fatalities":"4.0","empl_turnover":"14.775458570524991","avg_pay":"593.9845114386551","revenue":"0.01442627614127591","EBITDA":"25.3334380645668","pension":"0.35568573502798184","board_div":"21.42999983334448","manag_div":"19.9999994947575","paylink":"100.0","score":"62.9765625","lastyear_price":"120.35","current_price":"119.04","change":"-1.088491898628985","market_cap_local":"34711500821.75999","trailing_EPS":"4.339672","PE":"27.43064473894049","PB":"5.25900526732335","div_yield":"1.176075248788762"},{"rank16":"71.0","scaled_rank":"300.0","market_cap":"23731121846.432","company":"Renault","sector":"Consumer Discretionary","rank15":"81.0","longname":"Renault SA","code":"RNO:FP","sector":"Consumer 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	// d3.legend.js
	// (C) 2012 ziggy.jonsson.nyc@gmail.com
	// MIT licence

	(function() {
	d3.legend = function(g) {
	g.each(function() {
	var g= d3.select(this),
	items = {},
	svg = d3.select(g.property("nearestViewportElement")),
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	li = g.selectAll(".legend-items").data([true])

	lb.enter().append("rect").classed("legend-box",true)
	li.enter().append("g").classed("legend-items",true)

	svg.selectAll("[data-legend]").each(function() {
	var self = d3.select(this)
	items[self.attr("data-legend")] = {
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	color : self.attr("data-legend-color") != undefined ? self.attr("data-legend-color") : self.style("fill") != 'none' ? self.style("fill") : self.style("stroke")
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	items = d3.entries(items).sort(function(a,b) { return a.value.pos-b.value.pos})


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	.text(function(d) { ;return d.key})

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	})
	return g
	}
	})()
	<!DOCTYPE html>
	<meta charset="utf-8">
	<head>
	<link rel="stylesheet" type="text/css" href="sustainix.css" media="screen" />
	<script src="//d3js.org/d3.v3.min.js"></script>
	<script src="d3.legend.js"></script>
	<script src="sustainix.js"></script>
	</head>
	<body>

	<table>
	<tr width='450' height='60'>
	<td width="20%"><img src="http://www.bmdata.co.uk/circular/logo.jpg" height='60'></td>
	<td id='myhead' width='50%'><b>Sustainix Top 100 rankings</b><br>success can be sustainable</td>
	<td width='30%' align='right' id='myhead'><b>Circle Size</b><br><select id='circles'>
	<option value="market_cap">Market Cap (US$)</option>
	<option value="energy">Energy Productivity 2014(US$)</option>
	<option value="GHG">GHG Productivity 2014 (US$)</option>
	<option value="water">Water Productivity 2014 (US$)</option>
	<option value="waste">Waste Productivity 2014 (US$)</option>
	<option value="LTIR">LTIR 2014 </option>
	<option value="fatalities">Fatalities 2014 </option>
	<option value="empl_turnover">Employee Turnover 2014 (%)</option>
	<option value="avg_pay">CEO/Average Worker Pay 2014</option>
	<option value="revenue">R and D/Revenue (%)</option>
	<option value="EBITDA">Cash tax/EBITDA (%)</option>
	<option value="pension">Defined Benefit Pension Fund Status (%)</option>
	<option value="board_div">Board Diversity (%)</option>
	<option value="manag_div">Management Diversity (%)</option>
	<option value="scaled_rank">Overall Ranking</option>
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	</td>
	</tr>
	<tr height='450'>
	<td id='vis' colspan="3"></td>
	</tr>
	<tr height='60'>
	<td colspan="3" id='status'>  Click on a circle for more info.</td>
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	text,#legend {
	font: 16px sans-serif;
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	stroke:black;
	stroke-width: 0;

	}

	d3.json("sustainix.json", function(error, root) {
	if (error) throw error;


	function openPopup () {

	//opens popup.html when company name is clicked
	rank = d3.select('circle.selected').property('__data__').rank16
	var left = (screen.width/2)-(800/2);
	var top = (screen.height/2)-(600/2);
	specs = 'toolbar=no, location=no, directories=no, status=no, menubar=no,'
	specs = specs + ' scrollbars=no, resizable=no, copyhistory=no, width=700, '
	specs = specs + 'height=560, top='+top+', left='+left
	url = 'popup.html?rank=' + rank
	title = ""
	window.open(url, title, specs);
	}

	//sets custom colour scale
	var my_color = d3.scale.ordinal()
	.range(["#514774", "#8e1813" , "#e3602e","#9ecbc7", "#4490ac" , "#7abb4f","#fadfe1", "#eb7489" , "#507983","#f4a736", "#ffe493" , "#3c6208"]);

	//sets diameter, format, custom radius scale and radius value
	var diameter = 500,
	format = d3.format(",d"),
	rScale = d3.scale.sqrt().range([3,15])
	rValue = function(d) { return parseInt(d.value)};

	//creates a D3 bubble pack
	var bubble = d3.layout.pack()
	.size([450, 450])
	.sort(d3.descending)
	.padding(5);

	//creates the svg
	var svg = d3.select("#vis").append("svg")
	.attr("width", 700)
	.attr("height", 450)
	.attr("class", "bubble");

	//sets 'on change' for #circles option box in html

	d3.select('#circles')
	.on('change', function() {
	draw_chart();
	})

	function draw_chart(){

	//label
	d3.select("#status")
	.html("  Click on a circle for more info.");

	//removes all nodes if they exist
	svg.selectAll(".node").remove();

	//sets the nodes for each data (classes breaks down the JSON hierarchy)
	var node = svg.selectAll(".node")
	.data(bubble.nodes(classes(root))
	.filter(function(d) { return !d.children; }))
	.enter().append("g")
	.attr("class", "node")
	.attr("transform", function(d) { return "translate(" + d.x + "," + d.y+ ")"; });

	//appends circles to the nodes with a 'sector' legend and colour scheme using custom scale
	//calls update_status on change

	node.append("circle")
	.attr("data-legend",function(d) { return d.sectorName})
	.attr("r", function(d) { return d.r; })
	.classed('selected',false)
	.on('click', function(d,i){ update_status(d,i,this)})
	.style("fill", function(d) { return my_color(d.sectorName); });



	}

	function draw_legend(){

	//draws legend from functions in d3.legend.js (from mike bostock bl.ocks.org)
	var select = svg.append('g')
	.attr('transform', 'translate(505,100)');


	select.append('text')
	.text('Sectors Key')
	.style('font-size','20px')
	.style('font-weight','bold')
	.attr('class', 'title');

	//d3-legend
	legend = svg.append("g")
	.attr("class","legend")
	.attr("transform","translate(510,130)")
	.style("data-style-padding","30")
	.call(d3.legend)

	}

	draw_chart()
	draw_legend()



	function update_status(d,i,circle) {


	debugger;

	function formatNumber (num) {
	//adds thousand separators

	return num.toString().replace(/(\d)(?=(\d{3})+(?!\d))/g, "$1,")
	}

	function get_value (num) {
	//integers or floats?

	if (Number.isInteger(num)==true){
	num = parseInt(num)
	} else {
	num = parseFloat(num).toFixed(2)
	}
	num = formatNumber(num)
	return num

	}

	// remove selected class from all circles that have it
	d3.selectAll('circle').classed('selected', false);

	//add the selected class to the element that was clicked
	d3.select(circle).classed('selected',true)

	//finds myvar - the text inside the circles option box.
	myvar = d3.select('#circles').property('options')[d3.select('#circles').property('options').selectedIndex].innerText


	value = d.value

	if (myvar =="Overall Ranking"){
	value = (value/10)
	value = 100 - (value-1)
	//flips the ranking (lowest ranking have largest circle)
	}


	if (myvar == "Defined Benefit Pension Fund Status (%)") {
	//Python cheat to scale pensions so they are all positive
	value = value - 0.40491339046
	}

	//changes the status cell on the table with the 'on click' event for the company
	d3.select("#status")
	.html("  <b><div id='pop'>" + d.company + "<span id='info'> (click on the COMPANY NAME for more data)</span></div></b><i>Ranking</i>: " + parseInt(d.rank16) + ', <i>' + myvar + '</i>: ' + get_value(value));

	d3.select('#pop').on('click',function(){ openPopup()})

	};

	});

	// Returns a flattened hierarchy containing all leaf nodes under the root.
	function classes(root) {
	var classes = [];

	function recurse(name, node) {

	//value = search variable (as found in option box #circles)
	myvalue = d3.select('#circles').property('value')
	if (node.children) node.children.forEach(function(child) { recurse(node.sector, child); });
	else classes.push({sectorName: node.sector, rank16: node.rank16, value: node[myvalue],company: node.company});
	}

	recurse(null, root);
	debugger;
	return {children: classes};
	}

	d3.select(self.frameElement).style("height", 500 + "px");