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chronqc_1.0.2.html
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<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
<script src='https://code.jquery.com/jquery-1.4.4rc2.js'></script>
<script src="https://cdn.jsdelivr.net/alasql/0.3/alasql.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dygraph/2.0.0/dygraph.js"></script>
<script src="https://cdn.rawgit.com/danvk/dygraphs/master/src/extras/synchronizer.js"></script>
<script src="https://cdn.rawgit.com/danvk/dygraphs/master/tests/interaction.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/prototype/1.7.2.0/prototype.js"></script>
<script src="https://cavorite.com/labs/js/dygraphs-export/dygraph-extra.js"></script>
<script src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://momentjs.com/downloads/moment.min.js"></script>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
<link rel="stylesheet" href="https://www.w3schools.com/w3css/4/w3.css">
<link href="https://cdnjs.cloudflare.com/ajax/libs/dygraph/2.0.0/dygraph.css" rel="stylesheet" />
<style type="text/css">
.header {
background-color: #fbd043;
border: 0;
margin: 0;
padding: 0;
font-weight: bold;
position: fixed;
width: 110%;
top: 0;
left: 17em;
z-index: 2;
height: 3.4em;
overflow: hidden;
}
#header_title {
display: inline-block;
font-size: 200%;
float: left;
margin-left: 0.5em;
}
#report {
position: absolute;
bottom: 0;
right: 30em;
font-size: 100%;
}
.nav-item {
width: 100%;
color: #ffffff !important;
}
.nav-item.active a {
background-color: #3cba54;
color: #ffffff !important;
}
.nav-item2 {
width: 100%;
color: #ffffff !important;
font-size: 14px;
text-align: center;
border-bottom: 1px solid #ccc;
background-color: #4285F4;
}
.summary {
background-color: #fbd043;
max-height: 100%;
left: 0px;
width: 18em;
position: fixed;
bottom: 0;
top: 0;
}
ul {
margin: 0;
padding: 0;
background-color: #f1f1f1;
}
li a {
display: block;
color: #000;
font-size: 9pt;
text-decoration: none;
border-bottom: 1px solid #ccc;
}
li a:hover:not(.active) {
background-color: #bfbbbb;
color: white;
}
::-webkit-scrollbar {
width: 10px;
height: 10px;
}
::-webkit-scrollbar-track {
background: #D8D8D8;
border-left: 1px solid #D8D8D8;
border-right: 1px solid #D8D8D8;
}
::-webkit-scrollbar-thumb {
background: #f1f1f1;
border-left: 1.25px solid #D8D8D8;
border-right: 1.25px solid #D8D8D8;
}
::-webkit-scrollbar-thumb:hover {
-moz-box-shadow: inset 1px 1px 2px rgba(0, 0, 0, 0.1);
-webkit-box-shadow: inset 1px 1px 2px rgba(0, 0, 0, 0.1);
box-shadow: inset 1px 1px 2px rgba(0, 0, 0, 0.1);
}
::-webkit-scrollbar-thumb:active {
background: #FFFFFF;
-moz-box-shadow: inset 1px 1px 10px rgba(0, 0, 0, 0.4);
-webkit-box-shadow: inset 1px 1px 10px rgba(0, 0, 0, 0.4);
box-shadow: inset 1px 1px 10px rgba(0, 0, 0, 0.2);
}
.annbuttons {
margin-left: 50px;
margin-top: 50px;
margin-left: 350px;
margin-bottom: 75px;
}
.interaction {
margin-left: 2em;
margin-top: 4em;
color: black;
clear: left;
font-size: 80%;
overflow: auto
}
.bigcontainer {
width: 90%;
height: 500px;
margin-top: 110px;
margin-left: 19em;
margin-right: 1em;
border-radius: 1em;
overflow: visible;
}
.exann {
width: 90%;
margin-top: 50px;
margin-left: 19em;
margin-right: 3em;
overflow: hidden;
position: fixed;
background: white;
z-index: 1;
}
.smallcontainer {
width: 65%;
height: 100%;
float: left;
border-radius: 1em;
padding: 1em;
border: 2px solid;
overflow: auto;
margin-top: 110px;
}
.chart {
width: 94%;
height: 75%;
float: left;
margin-top: 30px;
padding: 1em;
border-radius: 2em;
zoom: 100%
}
.buttons {
float: right;
margin-right: 1em;
color: #000000
}
.labels {
width: 35%;
height: 100%;
float: right;
right: 0;
margin-top: 7em;
padding: 1em;
text-align: left;
font-size: 90%;
-webkit-transition: width 3s;
transition: width 3s;
}
#titles {
width: 239px;
height: 82%;
margin-left: 1em;
overflow-y: auto;
}
.dygraph-label.dygraph-title {
margin-top: -2em;
}
.dygraph-rangesel-bgcanvas{
z-index:0 !important;
}
.dygraph-rangesel-fgcanvas{
z-index:0 !important;
}
.dygraph-rangesel-zoomhandle{
z-index:0 !important;
}
.up_button{
position: fixed;
bottom: 10px;
right: 10px;
text-align: center;
z-index:1;
position: fixed;
display: block;
width: 50px;
height: 50px;
background: url(http://pubs.acs.org/templates/jsp/_style2/_achs/images/toTop.png);
}
@media only screen and (max-width: 1026px) {
.summary {
display: none;
}
#main {
margin-left: -18em;
right: 2em;
}
.bigcontainer {
width: 100%;
zoom: 100%;
}
#mySidebar {
display: none;
}
.labels {
font-size: 80%;
margin-top: 8em;
}
.interaction {
margin-left: 0;
margin-right: 0;
margin-top: 4em;
color: black;
clear: left;
font-size: 70%;
overflow: auto
}
#header {
margin-left: -18em;
right: 2em;
}
#report {
margin-right: 3em;
right: 3em;
}
}
div.calendar.popup {
position: fixed !important;
left: 680px !important;
top: 270px !important;
}
.btn.btn-default.btn-sm{
float: right !important;
}
#main {
width: 90%;
right: 2em;
}
html,
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
height: 100%;
position: relative
}
</style>
</head>
<body data-spy="scroll" data-target="#navbar" data-offset="100">
<div class="header" id="header">
<div id="header_title">
<button class="w3-button w3-blue-grey w3-hover-blue-grey" onclick="toggleMenu()">☰</button>
<a href="https://github.com/nilesh-tawari/ChronQC" target="_blank"><img 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6ZMgYeHB2u96V02QG9ubib79+/HmjVrkJ6ebvUWwu5OrVZj3759yMzMxNNPP405c+YQHx8f2vpJURRFUZRNq6+vJ0ePHsWqVauQlJTE+vG5XC7EYjEkEgm8vLwQERGB0NBQhIeHIzQ0FG5ubnBxcYGzs7PZRinqdDoolUpIpVJSUlKCvLw8FBUVITc3F3l5eWhsbERrayva2tpYrUO3t7fj559/RlFREV566SUyfvx4uLu7006fe6BQKHDp0iWyZs0aHD9+HAqFwtpF6tb0ej2uXLmC3NxcpKSkYP78+SQyMpKV3vQuF6BrNJqO4UnfffcdamtrrV2kHkOv1yM/Px/vvfcekpKS8Mwzz5ChQ4cyIpHI2kWjKIqiKIr6H8XFxWTLli3YsGEDqqqqWDsul8uFk5MTPD09ERYWhri4OAwcOBCRkZHw9/dnHBwcLH58BwcHODg4ML6+vhgxYgQAoLW1lZSVlSE/Px+pqalISUlBQUEBGhoa0NraytpSXJcuXUJZWRmeffZZPPHEEyQwMJAG6bdBCEFtbS05dOgQVqxYgezsbGsXqUcx9KYnJyd39Ka7ublZ9H7tUgG6TCYjZ8+exbp163Dq1CmrDk/qyVQqFX799VdkZWXhzTffJDNnzqRD3imKoiiKshk6nQ7Xr18nq1evxk8//cRandHJyQk+Pj6IjIzE0KFDMWzYMERHR9tML7FEImGio6MRHR2NBx98EDU1NSQrKwspKSm4cuUKcnJyUFNTg5aWFouXpbKyEl988QWqq6vx7LPPkr59+9KRmX+jVquRnp5OfvjhB+zYsQMNDQ3WLlKPpNfrcfHiRRQUFKCgoADPPPMM8fX1tdgz3WUC9Lq6OrJjxw6sXbsWubm51i5Oj0cIQXZ2Nt577z00NjZi3rx5xNvb2yZ+fCiKoiiK6rnUajUuXbpEvvjiCxw+fNjiWa15PB48PT0RHh6OkSNHIiEhAbGxsRbvZTMVwzDw8fFhfHx8cP/996O6uppkZmbi3LlzOH/+PAoLC1FXV2fRXnWpVIr169ejrKwMb7/9Nhk6dCjD5/OtfWlswp+rKpHVq1cjMTGRTue1AXV1dfj888/R1NSEF198kURERFjkGe8SAXpeXh7ZuHEjfvjhBzqk3cZUVFTg008/RUVFBRYtWkQiIyPp0hkURVEURVmFQqHA0aNHyVdffYULFy5Y9FhCoRABAQGIi4vDuHHjEB8fj969e3fJXmCGYeDr68v4+voiISEBOTk55OrVqzh16hRSUlJQXl5useRyGo0GBw8eRFtbG958800yevRo1rNm25rGxkayY8cOrFmzBjk5OdYuDnWT9vZ2fP/996iursaLL75Ihg0bZvZkhzYdoOt0OmRlZZEVK1bg119/pUPabVRzczO++eYblJSU4NVXXyXDhg2jrZ8URVEURbFKoVBg79695D//+Y9FgxqhUIiQkBAMHz4ckyZNwqhRo2DJ4a5ss7Ozw8CBA5mBAwdi8uTJ5OLFizhy5AguX76M4uJii/WonzlzBjKZDG+++SaZNm1aj81xVFlZSbZs2YI1a9agpqbG2sWhbkGtVmPPnj0dsc+0adPg5ORktneAzQboWq0WFy5cICtWrMDx48dpcG7jVCoVDhw4gIaGBrz66qtk8uTJdOkMiqIoiqJYIZPJyO7du7F8+XKLBec8Hg8hISEYPXo0pkyZgmHDhqG7T+8LDAxkAgMDER8fTy5duoQDBw7gwoULKCkpscjyXsnJyfjss8+gVCrJzJkz4ejo2K2v79/l5eWRb775Br/88gvq6+utXRzqDgghSE5Oxr///W9UV1fjySefJObKNWGTAbpSqcTJkyfJl19+id9//93axaHukVarRWJioiELKJk+fToN0imKoiiKsiiZTEZ++eUXfPnll8jPz7fIMXx9fTFmzBhMnz4d8fHx8PHx6VGBo5+fHzNr1iwMHTqUJCYmYu/evUhMTDT71FNCCNLT07F06VKo1WrMmTMHYrHY2qdvcTqdDmlpaWTt2rXYsWMHXUKtCyksLMTy5cuh0WiwaNEiswTpNhegy+Vy7Nq1i6xatQqpqanWLg5lhPT0dHz22WdgGIY88MADNEinKIqiKMoiZDIZ2bp1K1auXImCggKz718sFmPQoEGYNWsWJk+ejF69evWowPzvAgICmLlz5yIuLo4cOXIEu3btQkpKitlHuubm5mLFihXgcDjk0UcftfiydNb0ZwcX+fzzz3Hq1CmLzfWnLKe+vh6rVq0CIQRPP/20yUG6TQXobW1t2LZtG1m2bBkKCwutXRzKBIYgnRBCe9IpiqIoijK79vZ27NixAytWrLBIvTEiIgIzZszAzJkzMWDAAFqX+RPDMIiIiGACAwMRFxdHdu/ejX379qG0tNRsxyCEICcnBytWrACPxyOzZ8/ulonjtFotzp49Sz766CMkJiZauziUCWpqarB69WoQQvDMM8+YFKTbTIDe1taG7du30+C8G0lLS+sI0mfMmEF/2CiKoiiKMgu1Wo3du3eTlStXoqioyKz7FolEiI+Px/z58zF27Fh4eHj06F7z27G3t0d8fDzTu3dvMnDgQGzduhUXL16EUqk0y/4JIbh+/TpWrFgBgUBAZs2axfB4NhO6mEyr1eL8+fPkww8/xPnz561dHMoMampqsGbNGjAMY1JPuk3c5Wq1GseOHSNLly7tdsG5nZ0dhEIheDweRCIRhEIhbrUMGSEE7e3taG9vByEEarUabW1t1i6+yQzziAzD3btj6ydFURRFUew6evQoWbFiBXJyckAIMdt+/f39MWfOHDz66KPo378/XZXmHnh7ezNz585FREQE2bp1K3bu3ImGhgaz7Fuv1yMzMxOrVq2Cm5sbGT9+fLdoLPmz8YF88skn3S44N8Q8XC4XdnZ2EIlE4HA4t7wGhnhHr9dDp9Ohra3NIskH2WQI0gFg0aJFxJgGPqsH6IbWo+XLl3fp4FwsFsPd3R1OTk5wcXGBl5cXPD090atXL7i7u4PH48HBwQEikeiWAbper0dbWxva2tpACIFcLkdpaSlKS0tRU1OD5uZmSKVSNDc3o7m52dqn2ynp6elYs2YNgoODyZAhQ7rFi5WiKIqiKOs4e/Ys+fzzz5Geng69Xm+WfXI4HAwYMACLFi3Cgw8+2O2zs5ubQCDAsGHDGD8/PxIREYH169cjOzvbLPvW6XRITk7GF198AYlEQoYOHdqlvxtCCAoLC8ny5cu7dDJsgUAADw8PuLi4wMnJCZ6envDw8EBQUBD8/PzA5/Nhb28PsVgMLpd7y+ugVCohk8mg0+mgVqtRWVmJkpISVFRUoKWlBU1NTZBKpWhsbOxSgXt1dTW+/fZbBAQE4B//+MctY787sWqAbgjO33//fVy7ds2aRek0e3t7+Pj4ICAgAJGRkRg0aBDCwsIgEolgZ2cHR0dHODg4wNHRkTH0mt/Ll2NoBdZoNGhrayNSqRRyubyjd72qqgoZGRnIzMxEYWEhqqqqIJVKrX057kqv19+y9YyiKIqiKOpeZWZmki+++AJXrlwxW4Xdzs4OEyZMwHPPPYdRo0YxPSFruKUEBAQwCxYsIIGBgVi1ahXOnz8PrVZr8n7VajXOnj2Lr7/+Gh9//DEJCwvrkkG6ITj/+OOPsXfvXrM1MLGBx+PBy8sL/v7+CAsLQ2xsLKKiouDk5AQ7Ozs4ODgYYh+IRCKGw+F0KvbR6/VQKBSktbUVUqkUSqUS7e3taGhoQE5ODtLS0pCfn4/y8nI0Nzeb5b6yJEJIpwPzjmttrULrdDpcu3aNLFmyBJcuXTLr8CRLEYlECA0NRWxsLEaPHo3evXvD2dkZrq6ucHNzYwQCgcnHMHyRAoEAAoGAcXFx+Z/rNmHCBNLY2Ijm5mbU1NQgLS0NiYmJSE9Pt8k1E4ODg7Fw4UL07du3S75MKYqiKIqyvvLycrJq1SqcPn0aGo3GLPt0dnbGrFmz8Oyzz6J///7dao6ztTg6OjJTp06Ft7c3+frrr3HgwAGzLBumUqlw+PBheHl54c033yS+vr5dql5JCEFlZSX56KOPsGfPni6xlBqXy0VQUBCio6MxevRoDBgwAK6urnB2doa7u7tZsusbYh8ulwtHR0fG0dERfn5+f/mbsWPHkoaGBrS0tHQE7ImJiUhKSkJJSYm1L9P/cHR0xGOPPYaJEycaFaRb5S1ECEF5eTn57LPPcPnyZZsOzvl8Pnr16oURI0ZgzJgxiIqKgqenJzw9Pc0SkHcWl8uFq6sr4+rq2vFvCQkJ5JFHHkFeXh5+//13nD17Fjk5OWZf8sIYfn5++Ne//oWHHnoIIpHI2sWhKIqiKKoLkslkZPPmzdi/f7/ZAhsvLy8sXLgQCxYsQHBwMENH+pmPQCDA0KFDmY8++oh4eHjgp59+QktLi8n7lUql2LFjB3x9ffH888+jKy2/plAosGbNGuzbt8/mg3NfX18MGTIEY8aMQWxsLHx9feHl5WW15e4MgbvByJEjMX36dFJcXIxLly7h9OnTSElJsYlpwA4ODpg7dy6ef/55oxNMWiVAb2trw+rVq3Hy5EmbHdohFAoRHR2NWbNmYdy4cfD394erqysjFAqtXbT/4eTkxDg5OaF3794YMWIEefLJJ3H58mX89ttvSExMRGtrq1XK5eXlhRdffBFPPvkkJBJJl2rlpCiKoijKNhBCsHfvXvz0009mSz7m4+ODl156CQsXLqRZ2i2Ew+EgIiKCWbx4MXFycsK6devM8v3V1NTgp59+Qu/evcmMGTMYY4cRs0mj0WDnzp1k8+bNkMvl1i7OLfF4PAQHB2PKlCmYPn06wsLCzNZLbm4ikQjBwcFMUFAQ4uLiyKxZs5CRkYGjR4/i6NGjqKystEq57O3tMXv2bLz99tsICgrqOsusKZVKbN26lWzZssVsyzCYk52dHUaMGIF58+ZhxIgR8PPz6zLBJZfLhbu7O+Pu7o7evXtjwoQJ5NKlS/jll1+QmJjI6lx1FxcXLFiwAAsXLoSzs3OXuH4URVEURdmey5cvkw0bNqCoqMgsoy79/Pzw6quv4qmnnqJ1FBb4+voyr732GnFycsJXX32Fmpoak/ZnWH7tu+++Q2BgIImNjbXp71Cn0+Hs2bPkiy++sMmpqBwOB5GRkZg3bx4mTpyI4OBguLq6dokRJQzDQCKRMBKJBMHBwYiPjyfz5s3D9u3bcejQIVRVVbFWFj6fj8mTJ+PNN99ESEiIafckIYS1TaPR4ODBg8Tf358AsKlNIBCQYcOGke+++44UFhYShULB6rWx1KZUKlFWVkZ+/vlnct999xEej2fxa+ns7Exef/11Ul1dTaxxzqtXryZubm4WOz9/f3+yefNmq5wb3ehGN7rRjW49aSstLSXz588nQqHQbL/hq1atIq2trcTa59bTNqlUSr744gvi5eVllu/Szs6OvPTSS6SmpsZmv0u9Xo8bN26QkSNHslIH78zG4XBIr169yHvvvUdSUlKIVColer3e6tfM1E2r1aKuro6cOHGCzJs3jzg6OhKGYSx6Lfl8Ppk6dSpJSUkhOp3O5HNg9QbNzc0lI0eOJBwOx+o3pWHjcrkkPDycfPTRRyQ7O7vbBOZ/35RKJa5fv07+/e9/k169elnsO5BIJORf//oXqa2ttdrLkgbodKMb3ehGN7p1/U2pVGL58uXEw8PD5N9uhmGIv78/Wbt2LZHL5VY/t566yWQyLFu2jHh6epqlThYQEEA2bNhANBqN1c/tdue7cOFCYm9vb/WY5+bA3NPTkzz99NPk3Llz3SYw//um0WhQUVFBNmzYQAYPHky4XK5FriePxyMTJ04kqampRKvVmqXsrF2k1tZWsnDhQmJnZ2f1G9Nwc7q4uJB//vOf5OrVq0Qmk6E73pw3b3q9HjKZDCdOnCBTp04lDg4OZm1REggE5NFHHyXFxcXEmudJA3S60Y1udKMb3br2ptfrcfLkSTJo0CCT6yoMwxBvb2+yfPly0tbWZvVz6+mbTCbDxx9/bJa6GofDIfHx8eTChQs2F2Sq1WqsWrXKonXSzj4H9vb2ZPTo0WT//v2kpaXFbAGlLW/t7e1IT08nL7zwAvHw8DBrJyWHwyGxsbHk9OnTZr2WrFwYlUqFL7/8kjg7O1v95jS0dMTExJDvvvuONDQ0mGUoQlfaNBoNSkpKyLJly0hYWJhZWpQMQzvS09Otfj1pgE43utGNbnSjW9feSkpKyOOPP26WYcGurq5kyZIlRCaTWf286PbHJpVKyVtvvUWcnJzMUq9ftGgRqaioINY+L8Om1+tx+PBhEhYWZvHh1fcaSHp5eZG3336b5OXlEbVabfVrxOam0+nQ1NREduzYQUaNGkX4fL7J3wuHwyHR0dFk7969Zh/BwcoNeu3aNRIcHGz1G5RhGCIWi8mUKVPIxYsXiUqlsvoNY80XR3t7O06ePEnGjx9v0sgGLpdLxo4dS5KTk60enBNCA3S60Y1udKMb3bryptFosGrVKrMMbXd0dCTPPvssaWxsJNY+L7r9dauuriZPPPEEEYlEJn/PPj4+5IcffrCZHuH6+noyceJEwufzrR6cCwQCEhMTQ7Zt20YUCkW3HzF8p02tViMrK4s8/fTTxM3NzejYlGEYEhoaSnbt2mWRxg6Lp+dTKBT49ttvUVNTA0KIpQ93WxwOB97e3nj11VfxzTffYMiQIVZZx9xWMAwDOzs7jB49mlm7di3++c9/wt3dHZ1dqoLD4SAqKgpvv/02BgwY0CUyPlIURVEUZZsIIUhKSiK7du0yeUkuoVCIsWPH4r333oOLi4tNZ/ruiby8vJh3330XI0aMAJ/PN2lfhqXXMjIyiDXjDeCPrO3btm1DUlISNBqNVcvi5OSE2bNnY8uWLXj44YcZe3v7Ttf1uxM+n48+ffown332Gd555x306tULXC63U/tgGAa+vr545ZVXMGPGDMbUe/dWLLrMmk6nw4EDB8iBAwesuqQah8NB79698cYbb+Cf//wnw+PxevTNeTMul4uwsDDmv//9L+nbty9Wr16NoqKie1qfnsPhoE+fPvjoo48wbtw4GpyzSKvVQqvVdrSC6vV6cqvvjBAChmHA4/EYDocDPp8PLpdL7/8eynC/GO4fnU5H9Ho9xGIxw+OxvuqmTTK0Xmu1Wmg0Guj1+o6ank6ng16vB8MwHc/W358nHo/H8Pl8cDgc0HcidSd/vruh1+sNzyS5+d8MuFxux73E5XIZHo8HQz2mO77LW1payL59+3DlyhWTOnY4HA6io6Px3nvvwdfXt0usld3TMAyDsLAw5oMPPiAvvPACsrOz76n+eSuEEJw7dw6HDh1CaGgoseYSyVlZWWTz5s1oamqyVhEAAB4eHliwYAHeeOONLrNsGhs4HA7c3NyYV155BZGRkWTp0qW4du3aPTWmMAwDLy8vvPzyy1i0aJHF6k4WrZGVlpaSVatWWfUG5fF4iI6OxtKlSzF+/Hims60kPQHDMHB2dmZeeOEF+Pr6kqVLlyIrKwtqtfqOnwkNDcXHH3+M6dOn04fegrRaLVQqFdRqNdFoNGhra0NJSQny8vIgk8mg1WrR1NQEuVzeETwY6PV68Hg8+Pn5EVdXV4SGhsLLywvu7u4QCASGjREIBDSY6IYMw7kUCgWRyWRoaGhAS0sLampqUFJSgrq6OigUCrz88sukb9++Pe451ul0UKlUUCqVRK1WQ61WQy6XQyqVorS0FPn5+Whra+sIyJuamiCTycDhcKDX68Hn8+Hh4QGBQAC9Xg8ulwtvb2/Sp08fuLu7QywWQywWg8vlQigUws7OjhEIBN0yqKLuTqfTQa1WQ6lUkvb2djQ1NaG+vh4ymQzl5eUoLy+HVqtFa2srpFJpx33i7OwMiUQChmHg7u5OQkND4efn13F/OTg4wN7enhEKhejqDW06nQ7nzp3Dvn37oFKpjN4PwzDw8/PD4sWLERsbS4NzG8blcjFs2DDm7bffJm+88YZJa6SrVCrs3LkTo0aNwn333WeVek17ezvWrl2L3Nxcq44c9vX1xeLFi/HUU08x9vb2ViuHLePxeJgyZQrj5eVFPvnkE5w5cwZyufyOn3F1dcULL7yAl156iREKhZYrm6V2rFKpsH79emRlZUGn01nsBO6Ez+djyJAh+OSTT5CQkGCVyqfhBxn4Y6iVLVeAuVwuHn74Ycbf3598+umnOH36NNrb2//n7xiGgb+/P1555RXMnDmT/vBZgFarhUKhIC0tLcjPz0daWhqKi4tRVVWFyspKVFRUoKGhAVqtFgDu+iPAMAw4HA5cXV3h7OyMgIAA+Pr6IiAgAGFhYSQqKgqBgYEQiUQQiUQ9sje1vb0dLS0tRKfTmT2AIoSAx+PB2dmZsbOzs+h56PV6yOVy0tzcjJqaGuTl5eHatWvIyMhAaWkpWltboVQqoVKpoNfrYW9vj4ceegiRkZE2/X4yB5VKBZVKRRQKBZqamlBZWYmcnBxkZGSgsrISra2taGlpgVQqRXNzM5RKZacrWBwOB05OTnB2doazszOcnJzg5OSEyMhI9OvXj4SFhcHDwwMSiQR2dnaMUCjs9PC6nqKlpYW0tbVZZN+EEIhEIjg5OVm04f7PRlXS2NjY0bCamZmJvLw8VFZWor6+3hC0w5DD5U44HI6h3HB0dISLiwtCQ0MRGxtLwsPDERgYCA8PD4jFYkYkEnW5xqCKigqyZ88e5ObmmrQfZ2dnLFy4EDNmzOhxDY9dEZ/Px8yZM5kbN26QVatWobW11eh9ZWZmYt++fejTpw/x8vJi9QHQ6/XYt28fOXr0KBQKBZuH7sAwDIKCgrBkyRI8/vjjFg0iuwMOh4NBgwYxq1evJl999RW2bduG+vr6W/6tRCLB7Nmz8fLLL8PSjR4Wq4VfunSJbN++HTKZzKIncDsCgQDx8fFYvny5VeZG63Q6VFRUkBs3bqC0tBQAEBoaij59+sDT09NmAyCGYTBs2DBmxYoV5J133sHJkyf/8qJkGAY+Pj544YUX8NRTT9Hg3IwIIZDL5aSxsRE5OTm4du0akpOTce3aNZNzOBiGTdbV1aGurg55eXkd/00gECA4OBgxMTGIiYlBXFwciYmJgZubG+Pg4NDlKnjGunTpElm/fj0aGhrMHjDpdDp4eHjgmWeeIQkJCRa5oBqNBk1NTeTGjRv4/fffcf78eWRkZKCpqamjIedWRCKRyXP/bJlarUZLSwtpaGhASkoKSkpKkJWVhZSUFFRXV8OQMMdc/swUe8uRYwKBAK6urggLC0NsbCzCwsJInz59EBERYQi46Dv1T1qtFhs3bsSJEycstv+RI0fihRdeIJ6enma96Hq9Hq2traSpqQlpaWm4du0aEhMTkZ2dDalUatK7XKfTQSaT/aVudfHiRfz888+ws7ODn58fhgwZgsGDB5Phw4fDz88Pbm5uFm8YNAetVosLFy7g9OnTJu1HIBBg4sSJeOaZZ7r8iIKexN7eHs888wxycnKwf//+O/5u3QkhBPv378eYMWMwdepUVu+ByspKsmnTJlRWVrJ2zL+LiIjAp59+iunTp1tkbnR39GejBvPRRx8RsViMH374AVVVVX95Vzs6OmLmzJl477334OjoaPkfaktkyGtra8P8+fOJvb29VbIVGrKKp6WlWSWruFKpxIkTJ8j06dOJRCLpKJeLiwuZM2cOOX36NDH0zNjyVlhYSF566SXi7u7ecQ5ubm7kk08+senyd7Us7jqdDjU1NeTs2bNk6dKl5IEHHjBL5lpjNzc3NzJlyhTyxRdfkCtXrpDGxkabW1vUEtvGjRuJn5+fxa6rq6srWb9+vdnuG8OmUCiQn59Pdu3aRRYuXEiCgoI6VS53d3dy8uRJsy8RYs1No9GgpqaGZGdnk19++YU8++yzZNCgQSatVmGJjWEY4uPjQ6ZNm0Y+++wz8vvvv5Pi4mLS2tpq9vukq20KhQLTp083yxJbt9uGDh1KcnNzzXat9Xo9GhoaSGJiIvnwww9JQkLCX+oAbN9bvXr1IrNmzSKbN28mOTk5RC6XW/17vdNWUFBA5syZY/J5R0dHk4sXL9rEqjJ069ym1Wpx5swZEhkZafIzMH/+fFJeXs7au1Sn02HFihVWrb+FhISQPXv29Lgl1My5SaVSsnLlyr8sj2dnZ0fmzZtHysvLWasPW2Snhw8fJsHBwVa5OTkcDhk6dCg5d+6cVZZa0Gg0OH78OImIiLhtGePi4sjJkye7RNDT3NxM3nnnHeLj40M8PDzIyy+/TKRSKWsvPGO2rhKg6/V61NTUkJMnT5LnnnvOas/MnZ6lAQMGkMWLF5OTJ0+SmpqaLnHPGrtt2bKFBAQEWOx6enp6kg0bNpit0qjRaJCfn0++//57MnnyZOLi4mJUubpTgN7e3o6CggKyZ88e8vzzz5MhQ4YQsVhs9WfpXjYul0uCgoLIAw88QJYvX04uXrxI6urqbPpda+nv8tFHHyUCgcBi13z48OEkLy/PLO/yuro6cubMGfLmm2+SyMhIwuFwrH5PGTZHR0cyZswYsnLlSpKUlERaWlps7r5SqVTYunUr8fHxMelcXV1dyTfffNMt3mc9dWtvb8eKFStMbtwKCAgg+/fvZ+1eKCwsJKNHj7baktL+/v5k48aNpL293erfYVffdDodNm/eTPr06UOcnJzI1KlTyfXr11mtA5t93Ed7ezt27txpUpIHUwwaNAj/+c9/MGLECNYTwhFCUFdXR5YuXXrH+VPJyclYv349YmJizD60ztycnZ2ZxYsXEy8vLygUCjz99NOwZmbM7qKmpoakp6fj4MGDOHLkCAoLC61dpP+h1+uRlpaGtLQ0bNu2DVOnTsUjjzxCBg4cyM7wnm7IXFmX6+rqyOXLl/Hjjz/i6NGjd01q0t3JZDJSXFyMK1eu4MCBAzh//jyam5utXaxO0el0KC0tRWlpKQ4fPoyIiAhMnjwZEydOJH369IGvr2+Pm0tLCLHo/s3xLDY2NpKMjAwcOHAAv/32m02+y2UyGc6cOYOzZ88iJiYGs2fPxowZM0hYWJjNDH0vLy8nhw8fRnV1tdH74PF4mDhxImbNmkXzOnRhQqEQs2bNwvnz57F3716jpyCVl5djz549iI2NJf7+/hatsxBCcODAAVy/ft3i761b8ff3x5IlSzB37lybeaa7Mg6HgyeffJJxcHAgqampmDt3LiIjI1mdgmb2AD0pKYlcvHjRKsuqhYWF4aOPPsLo0aOtkq1dp9MhMzMTFy9evOvfZmRk4Nq1a5g6dSrr5ewsiUTCvPLKK9YuRrfQ3t6Oa9eukV27duHw4cM2WZm7lZKSEqxduxaXLl3CI488ggkTJpDo6Gg6v4ll7e3tSElJIXv27MGePXtQUlJi7SJZlUwmIzdu3MDp06dx6NAhJCUl3TKxZVej0+lw/fp1XL9+HXv37kVCQgKmTp1K4uLiEBQUROepm4kpFWmNRoPU1FSyb98+7N+/H9evX7f26dyVXq9Heno6srOz8fvvv+PRRx8l48ePR1BQkFVvKI1Gg+TkZCQmJpq0n5CQECxatAiurq70GenC/lzGinnqqadISkoKiouLjd7XiRMnMHPmTHh5eVk010pVVRU5efIkGhoaWL9eLi4ueP311/HEE0/QbO1mNnv2bGbWrFlWycVk1gBdqVRi586dVkmO4Orqitdee81qwTnwR6WqqKjonn70GxoaUFFRYZVyUtZRUVFBDhw4gPXr1yM1NdXaxTFKSkoKsrKycOzYMSxatIhMnjwZzs7OtCbEAsP9s2nTJiQlJVm7OFal0+mQn59PDhw4gD179iA5Ofme1i/tioqKilBUVIRDhw5h3LhxmDNnDomPj4eLiwt97qykpqaGnDp1CuvXr0diYqJZkwyyQavV4uTJk0hOTsaDDz6IBQsWkEGDBlmt562uro4cP37cpLqjSCTCvHnzMGTIELqcbjfA5/MxcuRIPPLII1i5cqXRS+5VVVXhyJEjGDZsmEUzuh85cgSpqamsvwsEAgHmzp2Lxx57DCKRiNVj9xTWauwza4CelJRETp06xfpwSzs7Ozz++OOYPXs2rD20wzDX5W50Op3RGSqprkWj0eDatWvkhx9+wK5du26Z3bkrUavVOHPmDAoLC1FQUIBHH32UhIeH02DBgjIzM8k333yDX3/9tcvfP6aqqqoiZ8+exY4dO3Dy5ElYahkuW1NXV4dt27bh6tWrePTRR/HAAw+QgQMH0iV0WKTVapGUlER++eUX7N69G1VVVdYukkmam5uxefNmZGZmYtGiReShhx6Cu7s7q+9yrVaLzMxM/P777ybtJy4uDrNnzzbb0kc3btwgLi4uYHuZLur/OTg4MLNnzya///47rly5YvR+zp07h4KCAnh4eFhkKdHKykpy8OBBk6ZnGGvMmDF47rnnWH9uKcszW4Bu6D03LCnGpgkTJuDZZ5+Fm5ub1W/Qe51jaq65qJRta2hoIPv378fmzZtx8eJFq8xNspSysjIsX74cWVlZePHFF8moUaPosEIz02g0OHv2LFm9ejUOHDjQre6fzmpvb8eFCxc6poeUl5dbu0hWUVhYiM8//xxnz57FI488QqZOnYrQ0FD64FmYQqHA/v37ybp163D+/HnodDprF8lskpKSUFlZieLiYixcuJCweT+1tLSQM2fOmDRdx9HREY888ghCQ0PNkqfh6tWrZPny5QgICMBrr71GAgIC6PNlBVwuF5GRkcyjjz5KsrOzje78KygowOnTpxETE0MskUPp+PHjSEpKYr33vG/fvnjllVdYnxtNscNsAXppaSm5evUq670ZERERePHFFxEWFkZvUMqmlJWVkW+//RY//PCDVVpW2SCXy/Hrr7+iqqoKb7zxBpk6dSpD1501j5aWFrJz506sW7cOycnJ1i6OVVVWVpKdO3di69atSE9P73JDis1No9HgwoULyMnJwaVLl7Bo0SJy33330WfPQlpaWshPP/2ElStXdpm8IZ1VXV2N1atXo6qqCq+++ioZMGCAxStUhBAUFxfj999/N6nBY/jw4ZgwYQLMMZrk6tWr5P3338eJEycgEAigVquxePFiiycZo25NJBJh4sSJOHLkCE6cOGHUPjQaDY4dO4aHHnoIffv2NWvnWFtbGxITE1mv47m4uOC5555DfHw8fe93U2b7Vi9evMj6nGqRSIT58+dj+PDh9AalbEpZWRn5/PPP8cMPP0Amk1m7OBZ3/vx5SKVSKBQKMmvWLJo8zkTNzc1kzZo1+P7773t0rgrDkOItW7Zgz549qK+vt3aRbEpTUxO2b9+OoqIiLFq0iMyYMQMeHh40kDCjlpYW8s033+Cbb76xSn4dNrW1tWH79u1obm7GW2+9RUaNGmXRe0mhUODq1avIysoyeh9OTk6YPXs2AgMDTe6kMQTnp06d6lj6bdOmTSCEYMmSJcTPz48+WyxjGAYhISHMww8/TC5fvmx0fSojIwNJSUkIDQ0161TYrKwscv36ddYbjadOnYoZM2bAwcGB1eNS7DFLVNva2krOnDmD2tpaVgufkJCAGTNmQCwWs3pcirqT7OxssmrVKmzbtq1HBOcGmZmZ+OSTT6DX68ncuXN73JJQ5tLU1ERWr16NNWvWWCUjrK1ob2/H3r17ybfffotr164ZnSSoJ7h69Sqqq6uRlpaG5557jkRFRdFAwgxKS0vJ+vXrsX79etTV1Vm7OKxQq9U4evQo2trasGTJEjJ27FiL3UuNjY3k3LlzUCgURu9j2LBhSEhIMLn3/Obg/ObefKVSic2bN4MQgvfff5/4+vrSZ4tldnZ2iI+Px6BBg3DmzBmj9mFYanDSpEnEzs7OLN8hIQQXLlxAfn4+q9ejd+/emDdvHui92L2ZJUAvKChAbm4uq1l0AwICMH/+fISEhNAblLIZ6enpZOnSpThw4IBJlY6uKicnB//5z3/A5XLJI488QoP0TmpubiYrV67EunXrWA3ObW16UF1dHdm8eTM2btzIeuWnqyovL8eGDRtQXFyMf/3rX2TChAm29aV2IYQQlJWVkU8++QS7du2CVCq1dpFYpdFocO7cOfD5fEgkEjJo0CCz30tarRb5+fkmTd8Ri8WYPn06/Pz8TOo9v3jxInn//fdx+vTpW/53pVKJjRs3Qq1W48MPP6Rz0lnGMAwCAwOZadOmkUuXLhm9jPPly5dRWFgId3d3mCPTf1NTE0lNTUVLSwtr10IkEuGxxx7D8OHDzXIOlO0yS+358uXLrCeHe+CBB3DfffeZZc4RRZlDSUkJWbFiBfbv398jg3MDQ5B+5MiRnpvRzAgtLS0dwTmbvXUajQZyudxmEtCVl5eTzz//HF9++SUNzjtJpVLh8OHDeP/997Fv3z5iK99pVyOVSsmKFSuwffv2HhecG2i1Wpw9exZffPEFcnNzzX4jKRQKcvnyZZOSPcbGxiIhIcGkzO0NDQ0kNTUVEokE/fv3v2Wd0tHREcOGDYNMJkNKSorRASJlPAcHB9x3332Iiooyeh8lJSVmHY2VkZGB7OxsVoe3Dx48GNOmTaPL2/YAJgfora2t5PLly6z29gQGBmLq1Kl0WQHKZrS2tpINGzZg79699McbQHZ2Nj777DOkpaXRCOEetLS0kBUrVrAenAN/zAMtKiqyiWUf8/LyyHvvvYcNGzbQ+eYmuHbtGv79739j8+bNpLuuD28pSqUSa9euxc8//9xjlvC707U4dOgQ1q5di+rqarO+yxsbG3Hx4kWo1WqjPs/n83H//ffD39/fpBFA9vb2zKRJk/Df//4Xc+fOveWUSS8vL7zxxhv4+OOPMWDAANCcR+xjGAahoaGYPHmy0ddfpVLh8uXLaGtrM8u9nJKSgqKiItaugb29PaZMmYK+ffvS2KcHMDlAT09PR3Z2NqtLjowbNw79+vWjwzsom6DRaLBt2zZs3boVra2t1i6OTSCEICkpCStXroRUKqVB+h3odDps2bIFGzduZD2Ph+H4zc3NVs2MrtfrkZqaSt577z3s3LmT1SGD3REhBBkZGVi6dClWrVpFmpub6TN4D/R6PTZv3ky+++67Hp3/4WZyuRzbt2/H9u3bzdbzqNVqUVBQYFJyuN69e2P06NEQi8UmBSsODg4IDQ1lIiIiGD8/v1sGf0KhEKGhoYiMjGSCgoJoUmIrcXJyYkaPHo2AgACj95GWlobCwkKTY5by8nJy7do1Vut8/fr1Q3x8vEkjRqiuw6QAXa/X4+LFiyguLmatwAEBAXjggQfg7e1NW5Aoq7m5xf7AgQNkzZo1PTrb9q2o1WocPnwYmzZtsoneWVt18OBBsmHDBlRVVVnl+AzDWHV4u06nw8WLF8lrr72GAwcOoL293Wpl6W4KCgrw1VdfYfny5WhsbKRB+l0cPHiQrFixottna++s+vp6bN26FefOnTPLPaRUKpGWloaamhqj9zF48GD06tXLrB01t2ukJIR0q3XvuyoOh4PQ0FAMGTLE6H2UlJTgypUrRo/cMMjIyEB6ejprv512dnaYMmUK+vXrR2OfHsKkAL29vR25ubmsztFKSEhAXFwcHWJEWQ3DMDAkP0tNTSXff/89cnJybGYOry1paGjAunXrcPToUXpxbuHq1avkq6++Qm5urlXvH2slidPr9cjIyCDvvvsuEhMT6fQQC6iqqsLGjRuxcuVK2vhxBzdu3CDLly9HYWEhfZffQnZ2NjZv3ozCwkKTL45cLicpKSlGB0kSiQSjRo2Cq6srDVZ6GB8fH+b++++HRCIx6vMqlQopKSkmD3MvKSlhtVE9JiYGY8aMocuq9SAmBejNzc2kvr6etaGR3t7emDx5Ml1agLI6hmGgVqtx8OBBnD9/nrau3wYhBIWFhdi0aRNaWlporfcmxcXF5IsvvsDly5d75AiDP+8N8sEHH+Dy5cv0GbIgQw/oxo0bCV2u7v8ZGlrVajVWrVqF1NRUq071sGUajQaHDh3Cnj17TGro0ev1KC8vN2l4e2RkJAYOHGjW9ayprkEoFCImJgahoaFG7yMrKwv19fVGN8Sp1WpUVVVBLpezcs4CgQDjxo3DgAEDWDkeZRtMCtALCwtZbUHq378/YmJiaO85ZVWGHvTz58+TXbt29fhEQnej1Wpx5coVHDx40NpFsTpDhcCwbM/x48dNHmrXFRFCUF5eTt59912cOnWK1SU6e6qKigqsWrUKP//8M83u/iculwsOh4Njx46RQ4cO0REGd9Ha2oq9e/ciNTXV6BtIo9EgNzcXhYWFRpdj0KBB8PPzs7nlISl2BAQEYPDgwUZ9lhCC0tJS5OfnG90wXl1dTfLz81lrzAsICMCQIUPg6OhIb/gexKQAPT09HWVlZawUlGEY9OvXD/7+/qwcj6JuR6vVIjExEWvXrkVOTo5Fj8UwTEeDAIfDAZfL/ctm+HfD39mq2tpabNmyBeXl5T06MjDMlzx58iTZt29fj00q2NzcTD777DMcPXrUZoMiw3NneNZ4PN5tt5ufR1t9FvV6PQoLC/H1119j//79NEjHH89jXl4evvzyS1RWVlp0aPvf3+U331t/f4/b4v1jkJycjEOHDhmd/FOlUpGcnByjp7M4OTlh8ODBcHFxsd2LRFmUl5cXM2zYMDg6Ohr1+dbWVqSmphrdMJyfn4/c3FzWzjc8PBwRERGsHY+yDUZ3Rbe0tJDr16+jqamJlYKGhoZi1KhRdO0/yurq6urw008/QaPRmL3n7+aKmoODA3x9feHj4wMfHx/Y29tDLBbDyckJhBC0tLRAoVCgra0N1dXVqKmpQVVVFdrb26HX6zs2W6DT6ZCVlYUDBw7gueees+kKqCXZ29ujsbGRbN++3erzzq1FrVbjq6++wq+//sraEMG7uTl44vF4kEgk8PX1hb+/P0JDQxEQEACxWAyBQPCX74xhGOj1erS3t6OxsRGFhYUoKytDRUUF6urqoFKpoNPpQAixiWdRr9cjOzsby5cvh5OTExk9ejTTU59F4I95pJ9//jlSU1PNOsXi5vvJzs4OYrEYbm5ucHJygqOjI5ydneHi4oKAgABIpVJUV1dDLpejsbER7e3tqKurg0wmg0wm63iP28q7Qq1W48iRI5g4cSLuu+++Tn9eoVAgLS3N6PMJCQlBVFQUBAKBtS8FZSVcLhe9e/dGcHAwMjMzO/15nU6H69evo62tjYhEok6/AAsLC1lLCiyRSBAfH4+wsLCe+6LuoYwO0JuamlBZWclapSM6Ohp9+vTpsRV7ynZotVqzBhaG3jk7OztERERgwIABiI6ORmRkJHx9feHi4gIHBwdD4M4Y5k3+WXEjhBDI5XI0NTWhqqoK+fn5SEtLQ0ZGBm7cuAGlUgmdTmf1AKG+vh67d+/GlClTSHBwcI97kPl8Ptra2vDjjz/i1KlTNjXvnK17Q6vV4qeffiIbN260iaXUuFwu+Hw+PDw8EBUVhX79+iEuLg69e/eGq6srxGIxhEIhw+Vy79izaQjANRoNaW9v7wi60tLSkJSUhBs3biA/Px/t7e3QarVWz5p/7do1rFy5El5eXqRPnz49NkgvKytDeXm5WYJzhmE63uUeHh4IDw9H3759ER8fj/DwcDg6OsLOzg4CgQB8Pt/Qg87o9XrodDpCCOm4P+RyORoaGnDp0iVcu3YNeXl5KC4uhlKptPr9AwCZmZk4ffo0BgwYQCQSyT3fPIQQ1NXVoaCgwOhj9+/fH97e3rQu2MMFBgZiwIABRgXohBDk5eWhsbERbm5uHbko7kV7eztKS0vR3NzMynkGBQUhNjaWNkj1QEYH6DU1Naivr2elkAzDoFevXvDy8mLtwlCUpfF4PDg4OCAuLg5jx45FTEwM+vfvD3d3d8YwbNbQo34HDPDHsD8fHx/06dMHo0ePhkajQWNjI0lLS8OZM2dw4sSJjgqetSp3er0eeXl5OHv2LIKCgnpcBUuv1+PgwYPIz89nbb1zw2iMm4fT3hxoEkLA4/Hg5eXVqUqKMQghuHjxIlm+fDlqa2utGmTw+XyIxWIMHDgQ48aNw7hx4xAeHg6hUMjw+XzcLSC/A8bJyQleXl4ICwvD8OHDoVarSVNTE65evYpjx44hMTER5eXlUKlUVms002q1OH78OEJCQvD+++8TNze3nvUw/slcgTmPx4ObmxtGjBiBsWPHIi4uDqGhoXBwcLjX+4kBAGdn547nQq/XY/DgwVCr1aS+vh4ZGRk4c+YMDhw4gMrKSqvmbdBqtTh16hSmTZuGQYMG3fPnNBoN8vPzUVdXZ9RxORwOIiIi4OzsbLVzp2yDl5cXEx0dTYxZJpQQgoqKClRWVqJ3796d+mxjYyMpLy9n7ffL19cXgYGBrByLsi1GB+glJSWorq5mpZCenp6IioqiCRKoboHH40EsFmPkyJGYNWsWJkyYADc3N+bmAMoYhmCex+NBKBTCwcGB8fPzw/jx47FgwQKyY8cO/Prrrx3BgTXU19fj9OnTeOihh0hPe55rampw4MABiw5XNfTgGQJQDw8PeHl5wdfXF2FhYfD394ejoyN4PF7H8GwOh4OhQ4daPCNyZWUl+fzzz1FcXGy14FwgEMDV1RUJCQmYPXs24uPj4eTkxBh6NM3F0JvK5XIhFAoZsVgMPz8/TJ48GYWFheTgwYPYu3cvcnNzoVAorBKoK5VK7NmzBzExMXjiiSfA5/NZL0NXxjAM+Hw+3N3dkZCQgLlz52L48OGQSCQMj8cz+n4yvP8N94+dnR3j6OiIoKAgjBs3jjzwwAPYsmULTp48iaamJquNxElPT0daWhr69+9/z/eOVqtFYWEhZDKZUcf09PREREQEjBmWTHUvQqEQISEhcHV1RWNjY6c/L5fLkZOTg1GjRnXkhrkX1dXVKC0tZeUc+Xw+IiIi4Ofnx8rxKNtiVICu1+tRWlpq1ENhjICAAISFhfW4Hjeqe2EYBhKJBCNGjMCDDz6IBx98EK6urowpQfndjmdIYhUdHc2EhYXh/vvvJ5s2bcKRI0dYe35vplKpcO3aNVy5cgX3338/68e3JkKIRSrTDMNAKBRCIpEgNDQU0dHR6N+/P4YMGQJ/f3/Y29tDKBQyhqD8VveaoafdUuRyOb766iucO3fOKlnruVwunJ2dMXnyZDz99NMYMGAARCIRY+nzNjA8i2KxGDExMUyfPn3w+OOPk4MHD2Ljxo24fv26VdaAr6iowLp16xAcHEzGjBnDWHoURXfB5XLh7e2NcePG4bHHHsPw4cMhEomYzlT0O8Nw/0gkEubPHnpy8uRJbNiwAZcuXbJKLgeZTIbTp09j3LhxJCQk5J4eIo1GQ0xZZz44OBhBQUGdCqio7svHxweBgYFG1WV0Oh0KCws7PYqmrq6OtdWr3NzcEBMTQzsneyijAnRDEhOFQsFKIQ2Jsiiqq+Lz+ejVqxeefvppPP744x2BOVs4HA5EIhESEhKY2NhY8vPPP2P58uWoqKhgff3p2tpaJCUlYdy4cbTRzQQMw8DR0RF+fn5ISEjA2LFjMWLECHh5eTGGYe22cH0JIdi/fz/59ddfrZK13tHRETExMVi0aBEefPBBSCQSqwaiHA4HAoEAAQEBzKJFizBixAjy3Xff4eDBg6irq2N16DIhBElJSdiwYQNCQ0N7ZG6IzrK3t0dcXBxeffVVTJgwgRGJRBafHnIzLpcLV1dXZtasWRg6dCj5+uuv8cMPP6C5uZn1kSmXLl1CSUkJgoOD7+ld097ejqKiIqPLGRgYCBcXF1bPkbJdQUFBiImJQWpqaqc/a+ho1Gg0BH9OMbkXTU1NkEqlrJyfh4cHAgICbOJ3nGKfsQE6kclkrPwYMAwDb29vuLm5sX5xKMoc7O3tMXr0aLz11lsYMWIEY81kHxwOB05OTsz8+fPh5+dHPvvsM6SkpLA6TFIqlSIlJQVNTU09du6rKRiGgZOTE0JDQzFz5kw88MADiIyMZPh8vk3+kFdUVJCffvqJtXn3N18nd3d3PPXUU1i4cCGCg4NZbRS7l/Lx+Xz079+f+fzzz8mkSZPwzTff4Pz586wuPUcIwcmTJ5GQkIAFCxbQZES3YbifHnjgAbz++uuwdnI9DoeDoKAg5q233iKOjo7YuHEjqqqqWA3SKysrkZ2djeHDh991igwhBFKp1Oj55wzDIDg4GE5OTqydH2XbPDw8mF69ehk9D72qqgpSqRQSieSefjt1Oh1aW1tZmyLo6uoKb29vVo5F2R6jAnSFQmH0HKLOcnBwQEhICMRise3VPCnqLlxcXDBjxgwsXrwYYWFhNjOE1N7eHlOmTGEkEglZsmQJrl69ylpPuk6nw40bN5CVlYWEhARrX4ouxc7ODuHh4ZgzZw5mz55t80uvqFQqbN68GVeuXGG1Ecgwd+/ll1/GvHnzGAcHB2tfitv6cyQE8+CDDyI8PJx88cUX2LdvH2tZggGgoaEB27dvR2xsLBk8eHCPzep+OxwOB6GhoVi4cCEWLFgAd3d3m7lA3t7ezJtvvglXV1eycuVKlJaWshakazQaXL16FTNmzCABAQF3vCaEEDQ3NxvdiCAQCNCrVy90Jms81b3Z2dnBx8cHfD6/01OnCCEoKytDXV0d/P397ylAV6vVkEqlrAToHA4HPj4+NDl2D2ZUtCCXy1kbqujl5YWIiAjaqk91OSEhIXjttdfw+eefIzw83GaCcwM+n4/4+Hjm448/RkxMDKvHbmxsRF5enrUvQZfi7e2NWbNmYcOGDVi8eDFj68E5AFy5coXs2rWL1WDT3t4eY8eOxerVq/Hkk0/adHD+d3379mWWLl2K1157DcHBwawOnb506RL27t2L5uZm21hw20bw+XwMHToU//3vf/HGG28wthScG4jFYjzzzDPM888/D09PT1aPnZube08r+uj1ejQ0NBhdd5RIJPD396fJDKm/cHJygkQi6fTnCCFobW1FQ0PDPTcYKZVK0tjYyEoeFQcHB/Tp0wceHh42976h2GHUr39dXZ3Rw5Q6y8XFBa6urqxeFIoyVVhYGD788EO8/vrrNlmhM+DxeBgxYgTz/PPPszq3r6mpCenp6VZJjNXVcDgcREdHY/Hixfjyyy8xePBgm72fbiaVSsnmzZuRn5/P2jHFYjEeeughfPHFF0hISGC6YmXey8uLeeWVV5j3338fUVFRrCXEUqvV+PXXX3HhwgXW81LYKoFAgNGjR2PlypV46KGHbK6R9WZ2dnZ44oknMHnyZAiFQtaOm5ubixs3btw1d4JOp0NlZaXRKxZ4enrS4e3U//D09ISvr69Rn9Xr9aiqqrrne7K5uRmVlZWsnJeDgwO8vb1pQsQezKhfm8rKStTU1LBSQLFYbFTrGEVZi6enJ9544w08/PDDjL29vbWLc1cikQiTJ0/GzJkzWeudUCqVyMrKQlFREe2tuwMej4dRo0bhq6++wssvv8x4enp2ieAcAI4dO4bff/+dtUYYR0dHzJ07F59++imio6O79DBtsViMJ554glmyZAliYmJYq6QVFRXht99+Q21tbY9/Lnk8HsaMGYP//ve/GDJkSJe4mby8vJhFixahf//+rI2+kEqluHHjBtra2u54z+j1+nvqab8dDw8PODo6snJOVNfh4+ODoKAgoz6r1+tRW1t7zz3o9fX1KCsrY+W87O3taezTw3X6DW64odka4i4WiyEWi1m/MBRlDHd3dzz//POYNWsWutLQWj8/P+bxxx9ndah7Q0MDysvLrX3qNksgEGD8+PH473//i/Hjx3eJAMFAKpWS/fv3o6KigpXjCQQCzJo1C0uWLEF3yUTO4/HwyCOPMG+//TZ69+7N2nGPHz+OtLS0Ht+LHhsbi48//hixsbFd6n4aMWIEM2fOHLi7u7N2zIqKiruu6qPT6VBfX2/0/HgPDw9aF6T+h5ubm9HztAkhnQrQpVIpGhoaWDkvkUgEZ2dnVo5F2aZOB+gajYbVLIaOjo5dKtChei6RSIR//OMfeO6559DVspMzDIPBgwczjz/+OGuttjKZzKQele6My+Vi8uTJ+O9//4vhw4d3qXsJAC5cuIDk5GRWEsPx+XyMHz8er732GoKCgrrctboThmHw0EMPMc8//zwCAgJYOWZZWRmOHj2KxsbGHtuL3qtXLyxevBiDBg3qkvfTI488gtGjR7M21L2kpOSuS0/p9XrS0tJi9DEkEglsdUSaRqtDZlEtuXqjgmSX1BK1tmc3brHJwcGBMXbqAyEETU1N9xygKxQKtLW1sXJetAed6nSAbriR2Ro+aG9vTxPEUTaPw+Fg3LhxWLhwIbrSMOSbOTg4YOzYsYiNjWXleG1tbTRAv42EhAT8+9//RkxMTJe7lwy956Wlpawcb9iwYXjnnXfQt2/fLnet7oVAIMCTTz6J+fPns9ajcujQIaSmpvbIXnSxWIznnnsOU6ZMsek553fi5+fHzJ07Fz4+Pqwcr7Cw8K5zeXU6HaRSqdE96BKJ5K5LuVmDUq3Fwct55JsjWVh1KBvfHsnGyeRCotb0vGfHGuzs7IzOTUAIgVwuv+f3HJtLGPL5fJu83yn2dPrXh2EYVtfa1ev1RicVoSi2hIaG4qmnnkJkZGSXDhKCg4MxevRoVn4YFAoFKisrWRuN01XExcXhgw8+QP/+/bvkPOqLFy8iMTGRlbnnAQEBePbZZzF06NAuG0zdC0dHR2bhwoWYOHEiK72iRUVFOHr0KJqamnpcL3pCQgIee+yxLp8tfOTIkYiMjGQlf0FtbS0qKyvvOGJGq9Uanf2ax+PBycnJ5r4TnZ7gfFY5+TmxCA16R2jsPVCjdsCOi6U4l1nSrZ6dFnk7fk8rJhezy0iL3HaSu3I4HIhEIqPvc5VKBbVafU/fFZvxDyGExj49nFE1GkIIKy1JDMNAIBCAxzNquXaKYoVAIMCMGTMQHx/f5TNuSiQSZtSoUazMeVWpVKioqOiRQcDteHp64vXXX8eIESO6ZMCpUChw4sQJlJSUWPxYTk5OWLBgASZOnGhzFXdLCAgIYF599VXExsay8p45deoUioqKWO01sjZ/f3+88MIL8PDw6JKNYzfz8PBgEhISWBkmq1arIZPJbtsTSQiBUqns1HDimwmFQkgkEvB4PJv6UrQ6PX67eANcsTuE9mLwBfawc3CEguuIw5e7xzKihAANUgXZdiabrD+Vj/Unc7H3wg3SLG+3mReDUCg0Kk4ghEClUkGhUNzzfcnW+5DL5faI3zXq9jpdA9RqtWhra2NlbqFAIIC7uzscHBxs6qV8J/daqWZ7JAJlOZGRkZg0aRJcXV27xRcaERHByjB3vV6Puro6NDU1WfuUbYJQKMSCBQswadKkLvvDXFxcTNLT09He3m7xY40ePRpz587tcvkeTDF06FDmySefhJubm8WPlZubi/T09B41wuXhhx/GyJEju02nwP333290Aq3OMAwV1mq1t41eNBoN5HK5UfvncDjgcrk2WGciaFdrAIbb8f//LDFUmjvXkYurm8nhK3nk0OVcUljVSGy1IUyj0+FYUiFOXm+Ezt4DbVwXnMyux6mUImsXrQOfzze60VKtVt/zyA6FQsHKbxsAODs7s7r0LWV7jEkSR+RyOSutSAKBAI6Ojl1mDjqHw7nnHxBCiA3+2FCdJRQKMWnSJMTFxVm7KGbj5eXFjBgxgpUgQCqV0gD9TwkJCXjyySfh7OzcZV8MqampKCwstPhxQkNDMXfuXISGhnbZa2WsmTNnIiEhweK/i2q1GhcuXOgxI1y8vb0xe/bsLtUhcDdRUVFMXFwcK9Miqqur7zitRafTGT1kl8PhsLZsXGdwORzc1y8YekUT9Ho9GIYDvU4LgU6G4VG3X/orraCarD+WiZ/Ol+GnC2XYeDwbGUW1RG+DQbpGq8OZ9BLwHNzAEwghsBNBzXXEpWx2lhu7Fzwez+hGtXvtLDM0QrEVoDs4ONhsUkSKHUYts8ZW4hjDUHpbbVn8u9zcXHLs2LF7uj5yuRyJiYkoKCjoGidH3VKfPn0wYcKELh1U/R2fz0d0dDTCwsIsfqz29nbWlmy0ZT4+Pli0aBFCQkK67NDatrY2XLlyBdXV1RY9jlAoxNSpU3H//fd3m57OzvDw8GCeeuopBAYGWvxY58+fR0lJSZf5DTbF2LFjER4e3uWnKd3M3t4e9913Hyvrh1dUVNwxeDGlLsfhcMDj8WyuU4PL4WDy4FCM6eOKtroS1JXlQdVUgbGRrpgy9NbTxEprW8jeS0XIqtNBL3IHEXkipwHYnpiHkppm23vQCKBU68Dc1EBCGA6UasuPor1XPB7P6AYcjUYDjUZzT39rSiNTZ3Wl2IeyDKPnoLOhqwwDJ4QgNzeXvPvuuzhx4sQ9BegqlQqHDx/GsmXLkJ+fT5/CLojD4WDYsGHo37+/tYtidp6enqxkAFYoFDBl6Z3u4qGHHsJ9993XZUYL3UphYSHJysoyOhHUvYqMjMS0adN61ND2v4uPj2emTZtm8SVIy8rKcOXKFdaWFrIWR0dHTJ06FRKJpNvdU5GRkazMQ6+vr7/tdAhCCDQajdFTI211iDvDAO5ODswj9/XFv6b0wStTIvDy5Eg8ODICro72tyxsQWUjsipa4eD0R480jy+AyNkd6SXNqKiTdrYIFsfjcTGirz+IsgUMw4AQPbjaNkQGeli7aB2MTSZNCIFCobinaTxsB8tdJf6hLMf2xgzdRKfTQaPR2HwrklQqJUuXLsWRI0c6NfylpaUFO3bswObNm3v0mrNdlYeHBwYPHtxt5p7fzN3dHYGBgRYfVmhI0NKTRUVFYc6cOV0+4ExLS0NBQYFFj2Fvb4/x48dj2LBh1j5dqxKJRHjiiScQGBho0UqcVqvF2bNn0dLS0q1/nyIiIhAXF9elG8huJzQ0FH5+fhZ/lyuVyjsGSQzDmDQMuTNTCNnm7iRixsaGMpOHRjAJA3oxbhLRnQvK4I/p6oQAIP//f619Ircg4HEwfUQ4BvrZoa4kB61VBRgc5ICH4vtau2gdTFntyVZ7qjUaTY9c5pL6f0a9sdl6SapUKtTV1aGtrc32np4/6fV67N+/HwcOHLhl67CzszPi4uIQGxt7y7UaZTIZduzYgfPnz1v7VKhOCg4ORkREhE3OjTOVo6Mj06dPH4snKbHVH0e2MAyD2bNnIyYmpksPrVUoFMjKykJNTY1FjxMcHIyEhAQ4OjraZk2dRdHR0cyIESMsPr84IyMD9fX11j5dixo+fDg8PT1tNgA0hZeXFxMUFGTxxJN3unaG4NzYofbdqTexb5A34oJdoW6TgYALgAeVTIrhvb0Q5utp7eL9D4Zh4O8uYRZMGIhP5g3Fh3OG4p/j+sHP3XZGm5hSj+DxePf028v2PdjS0kJHF/ZwnW7O5PP5rCUu0Ol0aGtrs+ksslKplPzwww+QSv86NEkoFGLy5Ml48sknERISAkII8vLysGXLFhw+fPgvf1tSUoITJ05gxIgRxMPDw2ZeetSd+fr6wt/f39rFsAgul4vg4GB4eXmhsbHRYsfpThUvY4SFhWHcuHFdfmhtTU0NKSgosPjqHv379+9WCRlNwefzMW3aNOzfv9+ia87X1NSgqKgI0dHRXXZ1gTtxcnLCfffd162Sw92Mx+PB19cXfD7fonWpP7O43/FvjH3Xt7e3o7293UYacwm+PfAf0tBaAwadPx+dXo/qJjmYdg20OiEABkSjRFWDAOuPOIDH5djCSf4PDocB58/vT08I9PeY0U6j0+DBEU9gYNgIiz1fer3e6HuDy+XeUycLwzAQiUQQCoUWn8YF/DEipbtPLaLuzJgAnZFIJITH47Gy1JotV94JIcjMzMT169f/MhRFIBBgwoQJ+OqrrxAUFNSxnnFUVBQCAgIIIQRHjhzp+Hu9Xo/U1FQUFxfDw8N25vVQt8fn8xEaGgpPT0/bvUFN5Obmxkom955s3LhxCAsLs+n33L0oKytDaWmpRY/h4eGBkSNHwsvLq2tfLDMaPnw4YmJikJiYaLHfY6VSidTUVIwbN450p2SYBp6enoiIiOiWjQ8GQUFBFh++L5fL75hsi8PhQCAQ/DmPuXPBlFarhVqtZi1B150QAFklyaioLwTDGDd6jsP5I7TX3jQjsq4FqLnDggl/NGb/MSqegNzbeHgGfwTVN1/vP68/W20daq0KI6MmWPQYxiZvYxgGjo6OsLOzu6e/d3BwgEgkgkwms+j53Fw+qucyakKQKRkTO0utVtvsPAxCCLKzs/9n3rmTk1NHRuab/53H42HQoEHMY489Rq5cufKX5aVKS0stPjyUMh8fHx8MHDjwnl/sXZGTk5PFkwuZMnesq/P29sb48ePRHUbNlJeXo7Ky0qLHCA0NxZAhQ7rllBJjubm5MfHx8eTq1asWC9AJIcjKyoJCoYCzs7O1T9ns/Pz8IJFIunVlODo6GhKJxKJLWt7tXW5YNtfYfctkMqhUKmJnZ2fVL4oBg7cf/RxqreV7UQ1kChX2ns9BTZMcYpEAD46IhI+b413v2Rtl9dh5sQjtHAn4QjvotBoQRSMeHhqE2HBfVspOiB5eLn4WPUZ7e/s9Z2K/GcMwcHZ2vudRwVwul7WVQww5uKiey6g7jc1hRs3NzWhtbYW3tzdrx+xs+W7+UWIYBh4eHrcdhsnj8RAcHAx/f/+//FjW1NRg1apVAEDGjh3LiMVia58adQeBgYEIDw/v1pU6BwcHiwfoarW6xw7jGjlyJPr169el554Df+QKKSoqsmjln8vlIjw8nJWl/7oSLpeL+Ph4fP/99xZ9jgzfr4+PT7d750VFRVk8G761+fr6wtnZ2ajea3MRCARGN2jr9Xq0tbXZTMAS6BnG2kMgV2rxy6lLpEjqBx2XjzaVDoevKfHyg9HwdRPfsRyVdSVE2t4GkUcQGC4XPAHQ1FwIsV0gwnzDu82DrFKpjO7IM8xBv9e10Nl6fmQyGRoaGlg5FmWbjF5mja2bVK1W28xL+VZu9VDrdLo7viwIIf/T0qzT6ZCYmIjnnnsOr732GklOTiZszHOhjOPi4tLth39zuVyLD4vUarWQy+U9rhedYRgMGTIEvr6+Xb6SVFdXR/Ly8iz6nvbw8MCwYcPQHYdYm4JhGMTGxmLAgAEW7dkpLS1Fbm6uTf8WGys0NBT29vbd+r5ycnKCs7Oz1UafMAwDOzs7ODg4GNXAo9Vq0djYaNFcC7Zq19ksktOghU7oBI69BMTOGcVyHtYfToZWd+ffTYYD8LgMiF4LEP0fGwiA7vN7q9FojF4JhsPhwNXVFZ0ZlcFW7KPVam06/xZleZ1+W/N4PIhEItbma8nlctbmexjDzc3tLz1ghBA0NDTgwoULtww6dDod8vLyUFxc/D//Ta1Wo6qqCj/99BP+8Y9/YNmyZaSiooLY6hD/nozP57M21MlaTOnx6Kzu1it3N6GhoRg4cCBrCTctqb6+HtXV1RY9hru7O8LCwujw9ltwdHRk+vbta9H3kUwmQ1lZWbcL0Hk8Hnx8fLr1/HMDa79jeTyeSSMDW1paemSAnllYDR3XHlweHwyHAw6XC45QjNyyetwtT1uoryuGhLpAr5SCAFArpIjwcUCgl2VXZ2GTQqEgf0/S3BlOTk73/Pzb2dmxVidqb29Ha2srK8eibJNRAbqfn98tlwyzhNbWVptdaoBhGPTr1+9/HtiWlhZ88803yM3NJRqNpmNulkajwbVr18imTZvu2OLX3t6O3NxcLFu2DHPmzMFPP/1EmpqaaKBuQ+zt7bv1/HMAEIlEjKura4+ovLKtf//+CAkJsXql2Rza2togl8stegxnZ2f4+rIzZ7Kr4XA46NWrl0UDdEIIGhsbodPpbDLDtLGEQiEcHR27/DSTu+FwOFZfR5zD4cDNzc3oMrS2tvbIAN3VyQGMXguiNzx6BNBp4Siyu2sOeR9XR+bB4b3R20mLxsJU+HCleCwhEpGBXT/viUFLS4vRy0AyDAMnJ6d7viddXV3h5eXFynkpFAo0NTXZyMoFlDUY9Yvu4uICiURi8V4T4I/emfLychBCbK4yyzAMoqKiMHDgQJw8ebIjSY9Op8OVK1fwz3/+E4sWLSKDBw+GRqPBpUuX8OOPPyItLe2uDx0hBG1tbbh8+TLS09Oxb98+PP/882To0KEQi8UM7UmyHg6HAycnJ4hEItu6Ic2Mx+PBwcEBfD6/2/WcWROHw0F0dDQ8PW1vzVtjtLe3W3T+M4/HQ69evWiAfhsMw6BPnz4Qi8UWbSipr69nZeUWNjk5OUEsFnf7kRlCoZCxs7Mj1qxDMQwDFxcXcLlco+6jlpaWHtmjOGNEBCoPpaNJLQSHLwTR6WCvacKcMVHg3uW+5XAYhPm6MovnxkOj1YHH5cBeyLvr57qSuro6oxOUcrlceHp63nNsIRaL4eLCzugDmUyGwsJCyGQy0tWXYaWMY1SA7uvrC19fX+Tm5lq8gA0NDbhx4wba2tpgi4nTRCIRs2DBApKUlPSXhA5qtRrJycnIzs7umMerUqmgUqk6Nd9Wp9NBLpfj4MGDuHDhAh555BEsWrSI9O7dmxGJRNY+/R6JYZhuX6EzoK235ufu7o6YmBg4Ojp2ix9dS1ecJRIJ+vbtS+ef3wbDMOjduze8vb1RV1dnsXwODQ0N3a6hTigUQigU2lzjv7lxuVyrj4Ticrnw9fWFvb29UXNr6+vrUVtbC71e32N+fwGgT5Ans3BiNNlwOBV1jXI42AkwZ1w/jIwKZDicu9+3HA4DBzs+gO45Eq62thbl5eVGfVYkEsHd3f2en38PDw8EBwezcl4ajQaFhYWoqamxeLJeyjYZFaBLJBLWbhi9Xo+qqiq0tLQQsVhsc7+iXC4X06ZNY86dO0c2b978l54kvV4PhUJhdAKLm2m1WtTX1+P777/H8ePHsWDBAvKPf/wDHh4ejFAotPZl6FEEAgEkEonVKzyWxjAMBAJBt59rzzZ/f/9ukw1brVajsrLSogG6vb09PDw8usX1sgSGYeDq6sq4ublZtIe0oqICra2trA3xpMzHFp4dLpcLf39/2NvbGzVtsaGhATU1NdBoNOhJdR4uh8GAUB9mxfOeHWuX83mcbtULborGxkajsp0bRnR4eHjcc4OPSCRi3N3dCYfDYSWxbVNTE+rq6hAeHm7xY1G2x6gnXCwWs7oeanV1NWpra1k7XmfZ2dnh3XffxfTp0y3ecKHRaFBQUIAPP/wQc+fOxc6dO0l9fT3pbkMPbZlEIoG/v7/FM5xbm6FC5erqau2idCu9evXqNkFOa2srKSwstGiALhAIbHL0lC3hcrlwcXGxaCBWUVGB6upqo5czskU9Idmn4TwNw8uthcPhwN3dvVM9ljeTy+UoKytDW1tbjxvWxeEwEPJ5sBP8sdHg/A+EENTX1xs1tYdhGLi7u3dqiLtQKISrqytryV3r6+tRUVHByrEo22PUU25YLoMtlZWVHfPQbRHDMPD29mZWrlyJp59+Gv7+/rdNIGZYbsSU4I4QApVKhQsXLuCZZ57Biy++iLNnz5Lm5mZiq9eoO+Hz+egp0wt8fX1pgG5GDMMgLCwM7u7u1i6KWSiVSovPCxUKhTRAvwuGYeDl5WXRob+GFVW605KIhjno3Z1hOSlrDg1nGAbOzs7w9/c3eh/FxcUwJWM31b20traSqqoqoz7LMAx8fX07FaDzeDyIxWLWRk82NjaioKCg2+X+oO6NUU3H9vb2jKurK2EreVRFRQWysrIwefJkmx3axDAMPD09mU8//RRjxowhO3fuxJUrVyCTyaDRaMAwDPh8Pry8vDBgwAA0NTXh/Pnzhsy4Rh2TEAKFQoGdO3fi3LlzeOyxx/DYY4+R3r17m7ScCXV3PaUhhMvldvsMx2yyt7eHt7d3t0kwyMbQWQcHh27ToGEpDMN0aqimscewdiZwcxMIBD3m/WYLv1kikQh+fn5Gf76srAzNzc0ICQmx9qlQNqCystLoXFiGAJ3H493zC80wLN7BwYGV1aVkMhkyMjJQXV1NAgICus+Ll7onRgXoAoEA/v7+cHZ2Nnp5g85QKpXIz89HY2Mj8fX1tembVCgUYsqUKcyECRNQUFBAioqK0NjYCA6HAw8PD0RERCAoKIhpamoi+/btw88//4zU1FQ0NzcbfUxCCGpqarBy5UocO3YMCxcuJA899BD8/PxotneKsiGGYLO75C9go9Jvb28PR0dHa5+qTWMYBo6OjhYNngkh0Ov1NhHomUt3Gg3QFfB4PCY0NJRwOByjOibKyspQXl6OAQMG9KhEcdSt5efnIyUlxajPcrlchIeHd7qBzjAs3tjM8Z1VXl6OiooKBAQEsHI8ynYY/YYLCQmBt7c3awXNy8tDcXExa8czFY/HQ2RkJDNlyhTm8ccfZx577DFmwoQJTFBQEAMArq6uzIIFC5jNmzfjtddeQ1xcnMnTBnQ6HbKysvDOO+/g1VdfRVpaGh3yTlE2xMPDo9vMPwf+yIlhTEZmqutRKpVoa2vrVgE6xS4+n4/evXsbPUWstrYWubm5Zkm8S3Vter0e5eXlRuencnBwQN++fTudg8LX1xeBgYGsnWdZWRlu3LjRrXJ/UPfG6ADd39+f1QD9+vXrSEpKglqtZu2YbAgMDGSWLFnCfPfdd5g/fz7Cw8NNTlqjVCqxb98+fPzxxygrK6O1KYqyEf7+/t1m/XOABug9iUajgVwup73OlNH4fD7Cw8Ph5uZm1Oe1Wi0yMjLQ1NRE6zU9XHNzMyksLDSqwZBhGPj5+SEoKKjTIzE8PT0RFBTE2nlWV1fjwoULaGhooPd8D2N0gO7u7s7q0jetra1ISUlBXV1dt7tJGYbBoEGDmOXLlzNffvkl/hyebtI+dTodLl68iH379ln79CiK+pOTk1O3Gq5Ne1N7ju4095yyDkPm7LCwMKP3kZWVZdOr+lDsKCsrQ3JyslGfZRgGffv2NWrlC7FYzAQEBLCWyZ0QgqysLBQWFrJyPMp2GB2gOzs7M6YMVTLG9evXu9Qw986yt7fHtGnTmDVr1uDjjz/GxIkTTVrOrrGxEUlJSVAqldY+NYqi8EeSJFtNdGksGqT3DPR7pszBwcEBcXFxRn++qKgIubm5rCQopmxXQUEB0tLSjPosh8NBv379YG9v3+lWRy6Xi169erE6gri4uBjXr1+n2dx7GKMDdIFAgP79+8PX15e1wmZnZ+PMmTNobW3t1jUFDw8PZsGCBczXX3+N119/HcOGDTMqqZRer0djY2O3v14U1VU4ODjcdgnGrojP51u8wYH23NoGPp8Pe3t7+n1QJhEKhUy/fv2Mfm/IZDIkJSWhpaWF1mt6KJlMRrKysiCTyYz6vEgkQnR0tNHTScPCwkwaBdJZdXV1OHHiBEpLS+k934OYlAazd+/eJg/F7oz29nYcO3YM+fn5rB3TmiIiIpjFixczX3zxBZ599llERkZ26vNcLheurq4Qi8W0RkVRNkAkEnWbDO7AH6tWWLrBgfbc2gY7Ozs4OTnR7NmUSQQCAaKiokyqO16+fBk1NTXWPhXKSoqKinD69GmjPmuYf96nTx+jA/TAwEBWA3QASExMxNWrV+nvYQ9i0i+tl5cXPDw8WC1wVlYWrl692mOGbXO5XIwcOZL59NNPsWzZMjz++OP3PGrB1dUVw4cPZ3UaAkVRt8YwDIRCITgcDm0w6wSVSkWzNt8FIQQKhcKilTdDzzntQadMwTAMvL290b9/f6P3kZ2djbS0NJqgsgfS6/W4ceMGrl27ZvQ+BgwYYFIOLYlEwvj7+7M6Xa22thbnz59HfX09jdB7CJMCdGdnZyY4OJjVIZutra04ePBgjxvqIZFImOnTpzPLli3D0qVL8cADD9wx2RSfz8eYMWMwbdo0axedoqg/dcfWb0sHbHK5HA0NDdY+TZtGCEFdXR0rGda74z1MsUskEmHo0KFGvzvkcjl+//13NDc305uxh2lsbCQXL140unGGw+EgISEBdnZ2Rv9wcTgcBAUFwd3dnbXz1uv1OHnyJK5du0bfwT2ESQE6n89HXFwcq/PQAeDixYs4e/Ys2tvbWT2uLfDx8WGeeOIJZtmyZfjwww8xatQoCASCv/yNRCLBrFmz8Oabb8Kw7jpFUdbVHX9UBQKBxbPZqlQqSKVSa5+qTSOEoKamxqIBulAohEgkokPcKZOJRCImLi7OpERb58+fR2FhIV32z4Y0NzeTqqoqi/7QFRYW4vDhw0Z/3sfHB7Gxsf9Tb+6svn37Ijw83JKn+j+Kiopw5MiRbrmaFfW/TFtwG8DQoUMRHh6OoqIi1grd0tKC3bt3Iz4+nvTp06dHBqB9+vRhwsLCMGLECJKYmIjMzEwoFAq4uLggNjYW48aNQ3h4eI+8NhRli/h8Puzs7MDlcq1dFLMRi8VMYGAgEYlEFhuGrlKpIJfLrX2qNk2v16OlpcWijUDe3t7w9PSkATplMi6Xi969eyMuLg4HDx40ah9FRUX4/fffERMTQyQSCa3r2IDq6mrs2bMHQ4YMIRMmTDD7d9Le3o6UlBSTlhwbNGgQ/P39TX6PhYeHM4MGDTKpN7+ztFotjh49ikmTJmHKlCn0XdzNmRygBwQEMIMHDyYXLlwwOqOiMQxrfPv6+hInJ6ce+XLm8/kYNmwYExsbi9raWqJSqeDg4ABPT0+mOwUBFNUdODg4wM3NrVslibOzs0NwcDCcnZ0tFqC3t7fTIe53QAiBVColTU1NFg3Qg4KCjFo3mKJuxdXVFSNGjMDhw4eN6gXXarU4duwYHn74YUgkEouWlWGYbvXethSGYXDhwgUcPHgQfD6fjBkzxqwvi4qKCrJnzx6j33MCgQAJCQkwR8zg4OCAIUOGwM/Pj9UOypKSEmzbtg3R0dEkODiYvoy7MZMDdC6Xi/j4eOzevRvXr19nreByuRw//vgjEhISMHz48B5daRAIBAgICOi5F4CiugBDxvPu1OrNMAxcXFzumA/DVDKZDHl5eWhtbaU9ZbdACEFBQQGqqqosGqD7+PiwmhSJ6t5EIhEzZMgQEhAQgNLSUqP2kZKSgnPnziEoKMgsU22am5tvOZ2mvr4e3377Lby9venQ4ttgGAbV1dXIz89HYWEh3n//fXz66adk9OjRZnlnq1QqXL16FRcvXjR6H/7+/hg5cqTZ8mbFxsaib9++rAboOp0Ohw4dwtixY/HYY491q2Vbqb8yOUAHgKioKISEhLAaoANAXl4etm3bhvDwcOLu7k4rbhRF2azuOAcd+KMnQSwWW2z/Go0GRUVFqK6utnhPWVdECEF2djZkMplF7zFnZ+duNT2Dsi7DMPehQ4caHaC3tbVh7969GD9+PAkJCTG5DtjS0nLLFYIaGxuxZcsWcLncbvseNxXDMNDpdB25oS5duoQlS5bgs88+IwkJCSZ/N9XV1WTbtm0m5Z4aPnw4goKCzNZIHhAQwMTExJBTp06xmhNLKpXi559/xuDBg0m/fv1o7NNNmSVA9/T0ZAYNGkTOnz/PajIfnU6Hbdu2YdCgQXjkkUcsnqyIoiiK+iuxWGzRHnQAaGpqQnV1NSIiIqx9ujaHEILi4mJotVqLHsfNzQ1cLpdWBimzcXd3Z8aMGUMOHjxo9BSZixcvIjExET4+Pib3Jt5uqL1Op2N1Cmd3oNfrcfnyZSxevBhLly41KUhXq9W4du0afv/9d6PLI5FIMGHCBJhzFJYhUba/vz/y8/PNewHv4tKlS/jxxx/x1ltvEQ8PD/pe7obM0ozE4/EwatQo1rO5A3+0bK5evRpZWVmEZvOkKIpil4uLi8WXm6mrq0NOTo61T9Umtba2kszMTIsG6Pb29ggICKDzcCmzsre3x6BBg9C3b1+j99Ha2ordu3fTzNY2SK/X48qVK/jggw+QnJxs9PdTW1tLfvrpJ7S1tRldlpiYGAwePNjs03QGDRqE0NBQs+7zXiiVSvzwww84duzYLUd9UF2f2SZDDhw4EJGRkVYZApeeno61a9eitraWvqApiqJY5Ovry0RGRoLHM8uArFuqr69HcnIyWltb6Tv+JoQQXL9+Henp6dDpdBY7TkhICPr27Wvy0kQUdTOGYRAYGIj4+HiT8gidO3cOR48epYGKDSKEIDo62ugOPIVCgaNHj+L06dNGl4HH42HChAnw9fU1e74qPz8/ZujQoVaZflVfX481a9YgMzOT0KkX3Y/ZAnRXV1dm5syZVulF12q12L17N7777jtagaMoimKRUChESEgInJycLHYMrVaL3Nxck5bX6Y4IITBMLbNkBS00NBTu7u49OhkrZRmurq7M2LFjERISYvQ+pFIpfvnlFxQXF9ORlDaEw+Fg4cKFePPNN+Ht7W3Uy6OiooJs2bLFpKU2e/XqhTFjxsDR0dHsLzAej4dp06aZNArEFCkpKVi2bBnKyspo7NPNmK3Lg2EYTJo0Cb/++iuqqqos2pp/K3K5HN988w3CwsIwe/ZsmtnQTAghtFJGUdQdBQUFwd/fH42NjRY7RkFBAZKSkjBw4EBrn67NaGlpIadPn7b4OryRkZEQiUTWPl2qG+LxeOjXrx/i4+ONzoZNCMHVq1exe/duvPbaa0bfqwEBARg0aBCdymEEhmHQ1taG0tJStLS0gMvlYv78+ViyZAkCAwMZY+qRra2tZPv27UhKSjKpXPfffz/Cw8MttoJK//79mbFjx5Lr16+jtbXVIse4HY1Gg0OHDiEsLAxvvvkmcXNzoxV2M7CF2MesYxLd3d2ZGTNmkOTkZFRXV7N+Mg0NDfjPf/4DNzc3cv/99zN0OJ5ptFot8vPzSUhICEMbPCiKup3AwEAEBgYiPT3dYseoq6vDlStXMGvWLOLi4kIrIQCSkpKQlZVl0fnnQqEQAwYMgEgkotecsggvLy9m7Nix5NixY6ipqTFqH0qlEjt27MDYsWPJ0KFDGWOmW86ZM4eZOnUqsXbFvKvKycnBhx9+iAsXLuDJJ5/Ee++9Z3RwrtPpkJmZiZ9++glqtdroMgUFBWHKlCmwZODK5/Mxbdo0HD58GGlpaZY6zG0plUqsW7cOHh4eWLRoEV2O1ER6vR5FRUXExcUFLi4ujLWWxjVrgG7oRd++fTtqa2thjaFGBQUF+OSTT+Dt7U369evHWHJeZHemVquxceNGsmXLFjz44IPkhRdeMGv2S4qiug8vLy8EBweDw+FY7L2v1+tx9epVXLlyBZMmTbL2KVudTqfDzp070dzcbNHjuLi4ICwsjM4/pyxGKBRi2LBhGDlyJPbs2WPUdA1CCPLy8rBu3Tr07t2buLu7dzowFIvFEIvFtJ5jpPr6eiIWizFv3jx88MEHCAgIMCo4B4DGxkby7bffmrTGuKH3fMCAARbNkQIAcXFxTEJCAsnPzzcpmZ2xWlpa8NVXX8Hf3x/Tp0+nq1oZSafT4eTJk+Tzzz9HYGAgPvjgAxIUFGT0fWwKszcL+Pr6MjNnzrR4Vt/b0el0SE5OxltvvYWsrCxi6aVnuhtCCGQyGVm9ejX55JNPkJycjGXLluHrr7+m8/spirolR0dHpn///vDy8rLocXJzc3Hy5EnIZLIe/y7KyMgg58+ft/jw9tjYWHh5eVl9uB/VvQUGBjJTpkyBp6en0ftQq9U4cOAA9u/fb1KvK2UcLpeLOXPm4KOPPjIpOFcoFNi5cycOHTpk0nRZPz8/TJ48GZ6enhZ/eQkEAsycOdOkXAqmqq6uxpIlS3DkyBHC5rrs3YVarcZvv/1G3nrrLZw9exbbtm3D+++/j7KyMqvktjB7gM7hcDBjxgz07dvXYvM97kaj0SAxMRGvv/46MjIyaJB+jwghqK+vJ++//z6WLl2Kmpoa6HQ6SKVSfPnllzRIpyjqlhiGwcCBA9G7d2+LHketVuP06dO4cuWKRZOi2TqtVosff/wRFRUVFr0OHA4HCQkJcHV1tfYpU92cnZ0dRo0ahfj4eJPqjlKpFOvWrUNmZiZNGMeyiIgI5tFHH2WCg4ONDs7/HNpO1q1bB6lUanRZOBwOJkyYwGpOgZEjRzKjR4+2Wr4OQgiKi4vx9ttv0yC9k5RKJTZt2kRef/31jmljSqUSO3fuxJIlS1BaWsr6+8QiEbSfnx8zd+5ceHh4sHoyN1Or1Th//jzefvttZGdnE7aT1nU1Op0OJSUl5IMPPsCWLVvQ1NT0l4ofDdIpirqTXr16oXfv3hZvmM3KysLRo0chlUp77Hvo8uXL5MiRIxYfSunj44O4uDg4ODjQ7nPK4oKDg5lp06bBx8fH6H3o9XpkZmZi9erVaGpq6rHvCGvgcrkQCARGj7YhhKC2tpZ8/fXXuHHjhkmNjyEhIZgxYwb8/PxYe3fxeDzMmTMHvXr1stqIoz/nT+Odd97B0aNHaZB+F4QQtLS0kLVr15LPPvsMJSUlf5mmp1KpsGvXLrz//vsoLS1ldTk7i9SkGIbBzJkzrZ4NU61W49y5cx096XTI062p1WqkpqaSN954Az/++ONtl+wxBOkrV66kQTpFUX/h5OTEjBgxAt7e3hY9jkajwdGjR3Hx4kWr5Dmxtvb2dmzevBmlpaUWH0UwYsQIVhpdKAr4Y5hwfHw8xowZA2OSvBmoVCr89ttv+OGHH0ADlK5DLpeT77//Hr/99hs0Go3R++HxeHjggQcwZMgQk+4jYwwfPpyZPn26VdZFN9Dr9SgsLMSbb76JI0eOEFOWqOvOdDodysvLybJly7B8+fLbjkizVpBusV9dDw8P5uWXX4avr69V564ZgvQXX3wRJ0+eJEql0mplsUWtra3k0KFD5IUXXsD+/fuhUCju+PdSqRQrVqzA119/3aN7sCiK+iuGYdC/f3+EhoZa/FjXr1/Hrl27UFFR0aPeQVqtFvv37yfHjx+3eODB4/EwatQoi2Y/pqi/Cw4OZmbOnImwsDCT9iOVSrF27VqcOnWKTnPsAtRqNY4cOYJNmzbdtR56NzExMZgxY4bRa6+bwrD2+8CBA63asKnX61FcXIw/O95IS0tLj/qtvBulUomkpCTyxhtvYNWqVairq7tjg7chSH/vvfdQXFzMSpBu0bsnISGBmT59utXXT9VoNLh8+TLeeOMN7Ny5k9DA8o9hHRUVFWT16tV46aWXcPXq1XtOxmHIFrlq1SrQh56iKIM+ffowgwYNgqWXZSSEYNeuXdi2bZvJlbmuJCMjg6xcuRKVlZUWP1ZYWBgGDx4MBwcHa5821YNwOBwMHz4cEydOhFAoNHo/hBCUl5fj888/R0ZGBqtDU6nO0ev1SElJIStXrkRVVZVJI4PEYjFmzJiBfv36We18QkJCmH/84x/w8fGxagelIUh/99138fXXX6OmpoY+BPijY3L37t3kxRdfxO7du++5DqFSqbB792588MEHKCwstPi1tGiALhQK8fLLL6N///6sDzP5O71ej5ycHLz55ptYvXp1j75R1Wo1srKyyCeffILly5cbVdlraWnBihUrsGrVKjQ3N/fYa0lR1P8TiUSIj49HYGCgxY8lk8nw448/4vTp08SU4ZBdRXNzM/nmm2+QmZlp8aHthuRwwcHB1j5tqgfy8fFhHn74YcTGxpoU4Gi1Wly9ehXLly9HaWkprafYqMLCQrJ06VIkJSWZlLXd8N6aNWsWXF1drTryZ86cOczkyZNNamQyl5aWFixbtgxLlixBdnZ2jx1RotPpUFlZSdatW4d3330XSUlJnZ4mp1QqsXv3bnz44YcoLi626DvF4uMvevXqxSxcuBBOTk6WPtQ9qa2txfLly/HBBx8gPT29R81LJ4Sgrq6O/Pbbb+SVV17Bli1b0NraavT+mpub8fXXX+O7776jyx5RFAUAGDVqFIYNG8ZK/pHs7GysWbMGKSkp3ToRqEwmI99//z0OHDjAyogBHx8f/LnkFR3eTllFXFwcM2vWLJOX7FUqlTh06BC+/vpr1NXV0XqKjamuriZffPEFjh8/btK8cwDw9fXFrFmzEBYWZvX3loODA55++mkEBwfbxBKV7e3t+PHHH/Hyyy/j5MmTpKfV2VtbW0liYiJZvHgx/vOf/6CsrMzofRmC9I8++giVlZUWu44WD9A5HA6mT5+O8ePHQyAQWPpw90Qmk2HLli149dVX8dtvv5GGhoZuf6OqVCpcu3aNLF26FC+//DJOnz5tlnVCm5qasHbtWvz66689aqgpRVG35uHhwUybNg3+/v6sHO/48eP48ssvkZub2y2HsSqVSuzYsQPffPMN6urqWDnmpEmTEBcXZ/WRb1TP5eDggAceeABjx441ue4ol8vxww8/4Ntvv6W5c2xIY2MjWb16NbZv3w5T80PZ29tj+vTpmDBhgk30WgN/NDI99thjNrNMpUajwZkzZ/Cvf/0LGzduRHl5ebdfilCv16OgoIBs2LABL774YkcibFMZgvQVK1bAUjEkj40L5OrqyixZsoSUl5fj0qVLNrF+reFGzcvLw+OPP44HH3yQREdHM91xvl1VVRU5deoU1q9fjwsXLpg983FlZSWWLVsGOzs7MnPmTMbaOQcoirKu+Ph49OvXD2VlZSYNWbwXhBDs3bsXXl5eeO2114gpa/DaGpVKhSNHjpAVK1aY1OLfGW5ubpgwYYJVEixR1M3CwsKYxx9/nOTl5SEtLc2kumNzczPWr18PV1dXPPHEE8TJyYne31bU0NBA1q1bhw0bNpg0khP4oyNw2LBhePzxx+Hr62sz3yuHw8Gzzz6L4uJi/PLLLyY3QpgDIQR5eXl4//33kZKSgjlz5pAhQ4bA3d3dZq6buUilUnLlyhVs2rQJhw8fhkwmM+v+5XI5Nm3aBAcHB7z44ovEw8PDrNeQlRSDDMMgKiqKWbx4MSsZfjujsrISX3zxBV566SVs3ryZlJeXW7/1wEzq6+vJsWPHyMcff4w333wTiYmJFluWKD8/H5988gn27t1LaE86RfVs3t7ezNSpU+Hp6cnK8bRaLTZv3oyvv/4aJSUl3eIdrlQqcezYMfKf//wH169fZ/hr488AADQXSURBVO24Y8eOxaBBg2jvOWV1DMNg9OjRzJw5c+Dm5mby/iorK/HVV1/hl19+odPyrKi5uZls2LABa9asQX19vcn78/Pzw2OPPYbY2FibCzLd3d2Z1157DSNHjrSp5Srlcjl+/PFHvPTSS1ixYgWysrK6zdx0uVyOK1eukNWrV+PVV1/Fjh07zB6cGzQ3N2PVqlVYvXq12afQsNKDDvzRkjRp0iSmqKiIvP/++ya3mJmTVqvFtWvXUFRUhNTUVMycOZPExsbCx8enS/bESKVSkp6ejv379+PgwYPIy8tj5bi5ubn49NNPodfrycMPP0x70imqB5s8eTKOHj2KgwcPmmU6zd20tbVhw4YNUKlUeP7550lUVBRjSxWizmhtbSUHDhzAV199hZSUFNaO6+Pjg5kzZyIgIKDr/fBR3ZKDgwNmz56NjIwM7N692+ReyJKSEqxYsQI8Hg+zZ88mzs7O9F5nUUtLC/nhhx+wdu1a1NTUmLw/sViMhx9+GFOmTLGZabR/FxUVxbzzzjukpKQEhYWF1i7OXxQVFeGrr75Camoq5syZQ0aMGIGgoCCGjRwy5qZSqZCbm0uOHz+OPXv2ICkpyeS8BveipaUFa9asAcMweP7554mXl5dZ3imsBejAH+uqzps3D+np6di6dStsrbWmsbERmzZtwvnz5xEfH4/77ruPDBs2DKGhoUxX6E1obGwkWVlZOHnyJI4dO4bk5GSL9Zjfzo0bN/DZZ58BAA3SKaoH8/f3Z+bPn0+ys7ORm5vLyjHb2tqwfv161NfX4/XXXyfDhg3rco2sjY2N5Oeff8aqVatYrcwJBALMnj0bY8eOZSXBH0Xdq5CQEObpp58mxcXFuHz5ssn1mvz8fCxfvhwKhQL/+Mc/iJubW9d6SXRR9fX1ZOvWrVi1ahUqKipM3h+fz8eYMWMwf/58+Pj42PR3OHbsWOb5558nn332GRobG61dnL9QKpU4cuQIkpOTER8fj/j4eDJy5Ej07du3S9ThFQoF8vLyyNmzZ3HkyBFcuHABcrmc1TI0Nzfjm2++ASEEL7zwglmCdFYDdABwc3Nj3njjDVJWVoaTJ0+yffh7kpeXh7y8PBw4cAAjRozA+PHjyZAhQxAaGgoXFxebegmoVCqUlZWRzMxMnD17FhcvXkRqaqrF533eyY0bN7B06VIAIA899FC3nNdPUdTdjRs3jpk+fTr59ttvWfvB1Ol02L17N5qbm/Gvf/2L3H///V2ikgEAOTk55Mcff8TWrVtZWev8ZgMGDMAjjzwCc7X+U5Q5DR8+nFm4cCGpqalBUVGRyfsrKCjAl19+CaVSiX/+85+E5lywrIqKCrJu3Tps3LgR1dXVZtlnnz59sGjRIkRHR9v8d8fhcDB//nwUFxdj/fr1UKlU1i7S/6irq8Pu3btx+PBhDBkyBOPGjSOjRo1CRESETc3tB/5I/lZVVUVycnJw8eJFXLhwAZcvX7bYUPZ70dDQgG+//bYjSDf1ncJ6gM4wDMLDw5nFixeTxsZGpKamsl2Ee1ZXV4d9+/bh999/R79+/TBw4ECMGDGCREdHw9fXF9YaGtXa2kqkUiny8/Nx8eJFJCUlIT09HSUlJda+ZB1ycnJokE5RPZy9vT2eeOKJjh9PNkf0nD59GrW1tbhx4waZNWsWevXqZVMVjJsplUr8/vvvZMOGDTh69Cja2tpYPb5EIsHs2bMxYMAAm71GVM/G5/Mxc+ZMlJSUYNWqVWhpaTF5n+Xl5Vi1ahVaW1vxzDPPkMDAQHr/W0BBQQFZvXo1fvzxRzQ3N5tln/7+/liwYAHGjRvXZaYyOTs7M//6179IdXU19u3bZ9WOtDtpb2/H2bNncfnyZfTt2xf9+/fHiBEjyMCBAxEYGAg3NzerjCpub29Ha2srKSsrw9WrV3Hp0iVkZGTgxo0brAxlvxcNDQ347rvvwOFwTB7uznqADgBcLhf33Xcf8+9//5ssWbIE2dnZ1ijGPWtpacG5c+eQmJiI3377DREREQgNDUV0dDTp06cPAgMD4enpaZEglBAClUqF5uZmUlJSguvXryMjIwNVVVUoKipCTk4O2tvbrX2JbiknJwc///wzYmNjSVRUFP3ho6geqG/fvsyTTz5JCgsLUVtby+qxs7OzsXz5ciQlJWHu3Llk3LhxkEgkNvUuysnJIXv37sXOnTuRmZnJeqWNYRiMHTsWDzzwAGhDKmXLnJ2dmaeeeoqUlpbi119/NUvdp6qqCuvWrUNTUxOeeeYZ0q9fvy4T8Nk6QgiSkpLImjVrsHfvXrP1bjo4OODBBx/EvHnz0FVGRwF/vGtDQ0OZJUuWEKVSiUOHDlm7SHekUqmQmpqK1NRUHD58GJGRkejVqxf69OlDYmJiEBISAm9vb0gkEos8M2q1GjKZjFRUVMCwkkNpaSnKysqQnZ2NpqYma1+iW2poaMAvv/yCuLg4TJ8+3ej9WCVAB/6Yjz558mSmqamJvPfee6iqqrJWUe4ZIQTFxcUoLi4GwzDw8PBAQEAAfH194e/vT4KCghAYGIjAwEA4OztDIpF0zOWzt7eHQCD4n4qhRqMh7e3t0Ol0IIRAqVRCJpOhoaEBpaWlqKqqQl1dHWpqalBRUYHS0lLU1tayPrfcGCKRCCEhIZBIJNYuCkVRVsLhcPDwww8jNTUVW7ZsYb1BsbGxsSP4nTZtGqZPn04GDRrE2NvbW/W6FBYWknPnzmHv3r04d+6cWdZmNUbfvn3x1FNPISwszKYaLijqVgIDA5lXXnmF1NbW4tSpU2bpOWtsbMTWrVtRXV2N559/niQkJDC2spZ2V6VSqXDixAmyevVqnD171qxDuhmGAZfLtams6J0p+4ABA5jFixeT6upqVpOAmqKurg51dXU4d+4cnJyc4O/vDz8/P/j6+iI4OJgEBgYiKCgIbm5ucHJygp2dHQghEAqFsLOzYzgczl+WSdTpdFAqlcSQQFatVkMul6OpqQmVlZUoKyvrOGZlZSVKSkpQVVVlk1MD/o5hGAQEBMDLy8uk/VgtQAf+SErz0EMPoaWlBZ9//rnZ5qWwgRDScfMkJyeDYRg4OjrC1dUVHh4eEIvFcHJy6sgq6eDgAJFIRBiG6bhJDb3jbW1t0Gq1IISgra0NbW1tkEqlaGhogFQqhUKhsIm14zvD3t4eM2fOxPPPPw9/f39a8aOoHszV1ZV55ZVXSEFBAc6cOWOVBKE3btxAWVkZzp49i5EjR5L7778fQ4YMgbnXLr0TrVaLvLw8cvr0aRw7dgwZGRmsrW9+K97e3li4cCFGjx7dJRKhUhQADBgwgHnrrbdIU1MTkpKSzNJhoVAocPjwYVRXV2P+/Plk9uzZoMnjjFNfX09++eUXbN68GVlZWWYfFdTW1oa9e/fCy8sLzzzzDHF1de1S3xPDMBg6dCjz0UcfkQ8++MCmp/reilQqhVQq7Rj9LBKJ4OzsDE9PT0gkEkgkEohEIhBCYGdnB7FYTLhc7l/iGI1GA7lc3rHCi1KphFwuh0wmQ2NjI5qamtDW1maz0wBu58/vFm+88QYGDhzYteag/52TkxMzf/58AgDLli1jfQikuRBC0NraitbW1lvOBedwOOBwOLg5QAf+SHTQFXrDO8Pe3h4PPfQQ3n33XfTt27dLvTgpirKM8PBw5s033yTl5eXIzc21SqOjQqHAtWvXkJGRgePHjyM6Orpjbl3fvn3h7u5u9veVRqNBcXExycjIwNWrV3H58mXk5eVZ/bfOwcEBs2bNwrx58yAWi61aForqrPj4eOadd94h77//Pq5fv26W94lGo8HVq1dRXV2NgoICPPnkk6Rv3750yPs9IoQgPT2dbNy4Ebt377ZYpxshBGVlZfjmm2/AMAyefvrpLhek83g8TJw4kdHr9eSDDz5Aenq6tYtkNIVCAYVCccuR0IbRDn+PfQghXS74vhtDcP7vf/8b48aNM3mpOqsH6MAf84r++c9/kra2Nixbtoz19Phs6I6B+K3Y2dlh5syZWLJkCfr06dOlXpgURVlWQkIC8+KLL5L33nvPLEmejKVSqXD9+nVcv34dZ86cgZ+fHyIiIhAVFUV69eqF8PBwhISEwM3NrdPLtLW3t6O6uprk5+ejoKAAhYWFSEtLQ1lZGWpqalhPAHc7o0aNwqJFi+Dp6Unf01SXw+PxMGXKFKa1tZX8+9//Rmlpqdn2XV5ejg0bNiA3NxdPPPEEmTRpEhwdHelzcgdyuRwHDx4kmzZtwqVLl1ipx1dUVGDt2rUQCAR46qmniJOTU5f6jvh8PiZNmsSo1Wryzjvv2Nwa6eZACLG5JbUtgcPhYMiQIfjoo48wZswYs6wjbxMBOvDHEMinnnqKqNVqfPfdd6ivr7d2kahOsre3x4MPPoj33nuPBucURf0PgUCAuXPnIicnB+vXr+8Y3mZN9fX1qK+vR2ZmJo4dOwaJRAJ3d3f4+fnB1dX1/9q78+goqzx94M99a01lqaqQUNlXA1nIAiQBJEBYFBAUJGwiYiPadk/L2MqiBBE4orK4js5ML06rffRI0y2otD3YAwINgrIoIiEEMCEL2UMSsqeW+/sDk1/j0qJWqCXP5xz+EI7Jt1Jv3nqfe7/3XhkQEIDQ0FCEhITg29atSynR0NCAqqoq1NbWorW1FdXV1aiqqkJTUxNaWlrQ3t7u6pd5lSFDhuBXv/oVuHkneTKdToe8vDzR1tYmN2zY4NQZ2+bmZnzwwQc4c+YMjh07hoULF8qUlBTOpn+N3W7HyZMn5RtvvIEdO3agrKzsus6MVlRU4OWXX4ZOp8OiRYukpw2kaLVa3HLLLaKjo0Nu3LgRp0+fdnVJ9AMpioLMzEysW7fOaeEccKOADgChoaFi6dKl0mQy4ZlnnvGoNen9XU9b+5o1azB48GCPukES0fUTGBgoVqxYIS9fvoytW7e6zfEodrsdTU1NaGpqQllZGT777DOoVCqo1Wr4+PjAYDDgu9Zpd3V1ob29HV1dXbDb7W7duhcXF4eVK1di0qRJXHdOHs/Pzw8LFy6E1WrFU089hdraWqd9bavVivPnz+O3v/0tPv30U8ydO1fOmDGDXSdfqayslO+99x7efPNNfP755y47g7qkpATPPfcc1Go17rzzzquW7NhsNrS1tcmegdiWlhZoNBoEBQXBYrEgMDBQqNWujUIGgwF5eXnC399fPvHEEx6zcRxdOZUsKysL69evR25urtPCOeBmAR0AgoODxeLFi6W/vz+ef/55FBYWurok+h4BAQFYuHAhli1b5tZnDRORe4iOjhaPPfaYbG1txc6dO92yBa6nNc9ms6Gzs9Np5/e6UkREBJYtW4ZZs2a5fBd7ImcJCAgQd999t3Q4HNiyZQuqq6udusdFc3Mz9u3bh4KCAuzduxdz586VEydO7Ldt742NjfLDDz/E1q1bcfDgQdTW1rp8CWdJSQmeffZZqNVqeccdd4j6+np54MABHDt2DIWFhaiqqkJnZyesVivUajX8/PwQFBSE5ORkmZ2djaysLCQkJLjs/TQYDJg6darw8/OTmzZtwp49ezxuc+j+RqPRIDc3F+vWrUNWVpZTwznghgEdAMxms1iwYAEGDhwon3jiCRw/ftzVJdF3sFgseOCBB/Dzn/+co8pEdM0SEhLE008/Lbu7u7Fr1y63nnX2BqGhoVi2bBnuuusunndOXsdkMvVO7qxfvx4XL150asCx2WyoqqrCjh07cPjwYUyfPh2zZ8+WI0aMEHq93tUvv89JKdHU1CQPHTqE7du3Y/fu3aipqXGbY6+klDh//jyeffZZHDp0SJaWluL06dO9S4y+bQBBURQcOnQIf/7znzFo0CBMmTJFzp49G/Hx8S55ltXpdBg3bpwwGo1y8+bN2L59u8sHPujbGQwGzJkzBytWrEBiYmKfdKO5ZUAHruwwO2XKFGEwGOSTTz6Jf/zjHxxNciOKovS2Ss6bNw8BAQEM50R0zYQQSEhIEI8//risr6/H0aNH+TDSR8xmM372s59hyZIl/XbWj7yfyWQS8+bNkzqdDuvXr0dJSYnT7ymdnZ24cOECXn31VezevRsTJkyQt99+O0aOHCl8fX3xQzeVdHcOhwOXLl2Sn3zyCd5++23s378fVVVV6OjocHVp3yClRFFRES5cuIDu7u7vHfR1OBy9RxvX1NTgiy++wL59+/CLX/xCTp06VfQck3w9aTQaDBs2TKxdu1YGBARg69atbreHSX9nNptx//33Y+nSpQgNDf3BG8leK7cN6MCV0aTc3FxhNpvlpk2bsHPnTnR3dzOou5hWq0V2djYef/xx5OTksFWSiH4URVEwdOhQ8eyzz8pHH30Uhw8f5ky6EwkhEBgYiPvuuw8PP/wwwzl5PX9/fzFr1iz4+fnJdevWoaCgoE/uKW1tbSgqKkJZWRn++te/Yvz48XLq1KnIyclBSEiI6DlW1xP1nDpUWloqP/roI/ztb3/DkSNHUF1d7ZbB/Ou1/5ga7XY7GhoasGfPHhQXF6O4uFguXrwYJpPpur+JKpUKycnJYu3atdJiseC3v/0tGhsbmX1cTFEUREdH49FHH8XcuXP7/Npw64AOXBlNGjp0qNi0aZOMi4vDH//4R7dY79JffbVOBmvXrkViYqLT11wQUf+i0WgwYsQI8fLLL8v169e77Zp0TyOEgMViwcqVK3HvvfcynFO/4evri6lTpwqj0Sg3bNiAAwcO9Mk9RUqJ9vZ2lJWVYevWrXj//feRkpKCadOmydzcXCQnJwudTtd7DrQ76wnlly9flj3HT+7bt6938zer1dovAqLVasW5c+fw/PPPw2q14t/+7d+u2nTuelEUBZGRkWL58uUyNjYWL7zwAoqKijiA7SJqtRqpqal48sknMW7cOGEwGPr+e7r6RV8LlUqF2NhYkZ+fL5OTk/HSSy/h5MmTbrP7b3+gKAr8/f1xxx13ID8/H+Hh4TxuhIic4qsPP/H0009LlUqFd999l/f3n0AIgYiICDz66KNYvHgxu5yo39Hr9RgzZox44YUX5FNPPYUdO3b0acjs6upCV1cXDh48iGPHjuHll19Gdna2vOmmm5CTk4OwsDAYDAahUqngDrPrUko4HI7eXc7PnTuHo0eP4vDhwzh69Gjvpmr9cbBUStl7xrpGo5GuGuD8qgNKLFq0CPHx8fLFF1/Enj170N7e3i8GS9yBEAJ6vR5jx47FE088gfT09Ou29MEjAjpw5YdkNBrFHXfcgfT0dPn0009j165daGlp4YXax/R6PVJSUnDfffdh/vz5CAgI6LM1F0TUPymKgoSEBLFlyxZpNBrx5ptvorOz09VleRyVSoWoqChs2LABeXl5QqfTubokIpfQaDQYMmSI2LRpk4yMjMRrr72GS5cu9WkHpt1uR1tbG9rb21FVVYVdu3bBYrEgMzMTWVlZMi0tDYmJib3He/1zYO/L56qeGXKbzQa73Y76+npZWFiIEydO4OjRo/jiiy9QVVWFrq4u2Gy26/Jc3dNZ4I6DAFJKlJeX48UXX4RKpcKSJUtctrmmTqfD2LFjxeDBg+V//ud/4rXXXkNtbS1n0/uYWq1GWFgY7rzzTtx7772Ijo6+rkeTekxA76HVapGWliZeeOEF+frrr+OVV15BWVkZZ1v6gEqlgr+/P2bOnImVK1ciPj7eJZtmEFH/8NUaL7Fu3TppMpnwxhtvoL6+ng8i18jHxwfp6elYuXIlpk2bxvs19XuKoiAqKko8+uijMjIyEv/1X/+F4uLiPn9mlFLCarXCarWira0NpaWlePfdd2EymRATE4Pk5GQ5ZMgQxMfHIyIiAhaLBX5+flCr1VfNsv9zeP+2AN8TpKWUV/3pCeM2m012dXWhtrYWJSUlOHv2LAoKClBYWIgLFy6gqampN7Rfz8kunU6HYcOGISAgAB9//DGam5uv2/e+VlJKlJWV4cUXX4Rer5d33XWXy7qRvgqLIj8/HxkZGfL555/H559/js7OTk5SOpkQAj4+PsjKysJjjz2GUaNGCYPBcN27XjwuoANXbrghISFi2bJlyM7Oli+99BIOHDiAxsZGrk13Er1ejyFDhmDJkiWYM2cOzGYzW9qJqM8JIRAeHi7WrFkjMzIy8Nxzz+HUqVMchP0eJpMJeXl5ePjhhzFo0CChVnvkxzuR0/W0Ct97771ISkqSL730Ej788MPr1iospewJy6ipqUFtbS2OHj0KRVHg6+uL8PBwREZGIjQ0FBaLRYaHh8NsNsNsNsNoNMLHxwcBAQHw8fGBSqVCzyxeV1cXOjo6ejdG6+7uRktLC5qbm1FfX4+ysjKUlJSgoqICNTU1vbuvOxyOq8L89X4v/Pz8cNttt2H58uUwmUx48sknsW3bNly+fPm61nKt711JSQmeeeYZaLVaOX/+fJcdq9fzs8vLyxMpKSnylVdewfbt21FVVcXPRydRq9WIiIjAggULsHjxYsTExLjss9RjP8GFENBoNBg/frxISkqSb7/9Nl5//XWcPXvWLX/JPYVKpYLRaMT06dN7z/fjgx4RXU89S5rmzZuH6OhouXHjRhw4cAAtLS2uLs3tqNVqWCwW3HfffVi6dCnMZjOXIBF9jRACBoMBEydOFLGxsfJ3v/sdtm3bhosXL17XFut/DsV2ux1NTU1obm5GYWFhb506nQ56vR4+Pj4wGAzQarUwGAy9Ab3nmcxqtaKzsxMOhwPt7e3o7OxEY2MjLl++/I0Z9Z7v7UparRaxsbFYtGgR7r77boSFhQkAyM/Pl3a7HX/5y1/c8h7fc8b6M888A7VaLfPy8ly6r0fPLu8bNmzAuHHj5P/8z//gyJEjaGhoYLfZj9Qz+DF8+HCsWrUKY8eOFTqdzqV7RXh88hJCIDQ0VPzqV7/C5MmT5Ztvvolt27ahtLSUZwf+ACqVCiaTCSkpKVi4cCHmzp0Lo9HIpzwichmNRoOcnBzx3//93/I3v/kNtm7divLycrdcs+gK/v7+yMzMxEMPPYTJkyezpZ3oeyiKghtuuEGsXr1aDhs2DL///e9x5MgRtLa2uqymr89kt7e3f+P59fuCgqvD9/cxmUwYP348fvnLX37jeN6YmBiRn58vu7q68N5777n0vfguUkoUFBRg8+bNUKvVcubMmS6bSQeuXA++vr6YMWOGyMnJke+++y5ef/11nDp1Co2Nja7+cXkUf39/xMbGYubMmbj77rsRExPjFh3DHh/QewghkJCQINauXYtp06bJV155Bf/3f//XuxMlfTez2Yy0tDTMmjULt912G6Kiotzi4iQiEkIgKipKrF69GtnZ2bLngbqhocHtH0r7il6vR1RUFGbMmIH7778fsbGxvGcT/QBGo1HMmTMHKSkp8g9/+AN27tyJiooKdHV1ubq0b+Wp9zq9Xo/4+HjMnTsXixcvRmRk5DdGGoQQiI+PF2vWrJEOhwM7d+5EW1ubq0v/Vl988QU2b94MjUYjb7nlFpefkCGEQFBQkFiyZAkmTJjQO0l54cIFt+xGcCe+vr6Ii4vDtGnTMHfuXAwZMsStjo72moDeQwiBrKwskZSUhP3798sdO3bgk08+wYULF9xyVM6VjEYjEhMTMWPGDMydOxdxcXFsjSQit+Tr64uZM2eK7OxsuW3bNmzduhUFBQX96r7+1f4rmDhxIu655x6MHj3arR4oiDyJSqVCamqqWLt2rRw9ejTeeustfPTRR6irq+N+Rj+RoiiwWCyYMGEClixZghtvvPFfnighhMCgQYPE6tWrZXd3N3bt2uW2XbCfffYZnn76aahUKjl16lS3OSnjq+OoMWXKFPn2229j3759OH/+POrr611dmlvR6/WIjo7GpEmTcOedd2L48OFu2X3mdQG9h5+fH6ZNmyZuuukmnDx5Ur711lvYs2cPLl682K8vViEEgoODERMTg5tuugl33HEHkpKSOPtCRB4hLCxMPPjggxgzZox89dVXsXv3bpSVlaGjo8PVpfUZIQQGDBiAtLQ0LFy4EHl5eQgICOBoKpETmEwmMXv2bGRmZsrt27dj+/btOH36NFuFf6SgoCBkZGRg/vz5mDlzJgYMGHBN9ypFUZCcnCzWrFkjAeCDDz5w25n048ePY8uWLdDpdHLChAluE9IVRUFmZqbIzMzEl19+KXfs2IH33nsPJSUlqKys7NcDT0ajEeHh4Rg5ciQWLFiAnJwct3nfvo3XBvQeWq0WmZmZIiMjAwUFBXLXrl343//9XxQXF6O6urrf7Hyo1+sRFhaGwYMH4+abb8akSZMwePBgzr4QkccRQmD48OEiISFBTp06FX/9619x+PBhFBcXe1Vbn1qtRkhICFJSUjBp0iTceuutGDRoEDudiPpATEyMeOCBBzB27Fi5c+dO7Nq1C4WFhV51T+lLZrMZycnJmD59OvLy8pCQkPCDb1SKoiAtLU3k5+fL+vp6HDhwwG3b+w8dOtQ7k56bm+t2s7Dx8fFi+fLlmD17tty7dy/eeecdnDlzBhUVFW7bneBsKpUKFosFsbGxGDt2LG655RYMGzZMGAwGV5f2vbw+oPe+ULUa6enpIi0tDbfffrs8fPgw9u/fjzNnzqC8vBxVVVVeufuhxWJBfHw8hg0bhtzcXGRnZ3/rGiAiIk8TEBAgpk2bhvHjx+PIkSNy165dOHDgAM6ePevRnVJarRaRkZHIzs7GTTfdhPHjxyMmJob3bSfjQAd9Xc+kzpAhQzBp0iS5fft27N+/H19++SVPCPoOZrMZSUlJuPnmmzF9+nSkpaX9pMkfRVEQERGB0NBQV7+073XgwAFs3LgRKpVKjhkzxu1COnBl4Gnx4sWYMmWKPH78OPbu3YsTJ06grKwMFRUVXrlPl9FoRExMDFJTUzFu3DiMGjUKCQkJbvn+fJd+E9B79KxzGTRoEObMmYNz587Jo0eP4tChQzh37hxKS0tRVVXlsbsEK4qCAQMGIDw8HHFxcRg3bhzGjRuHpKQkj7owiYiulcFgQG5urhg9ejROnjwp9+3bh48//hhnzpzBxYsXPaJVVavV9o70p6WlYezYsRg3bhwGDhzYb1NkXwdod52Z42t1Pb1ejzFjxojU1FR5/Phx7N69G/v27UNRUZFH3E+uh5CQECQlJWHcuHGYPHkyhg4d6pSWYZvNhk8//RRHjhzxiOt2//79PcffydGjR7vt0cShoaFi+vTpmDJlCkpLS+WJEydw8OBBnDp1CuXl5SgvL/fomfWAgACEhYUhOjoaI0eOxPjx4zF06FCPXQ7mnlfRdWIwGJCeni7S09Mxb948eeHCBRw7dgxHjhzBhQsXcOnSJVRXV6OqqsqtW+EDAgIQERGBsLAwREVFITU1Fenp6UhMTERoaKhHXpg/hdVq7dOdWG02W79Zx2O1WtHd3d1nX7+rqwudnZ2QUrp8Nstms/XpwFx3d7fHDvx5Co1Gg+HDh4vhw4ejpqZGnjhxAqdOncJHH32E4uJiVFRUoKGhwdVl9tLpdAgNDUVsbCzS09ORkZGBjIwMDB482KVH+LiLzs7OPv2dsVqtHhEAnKGv728dHR1e+bloMpnExIkTMXLkSNx6661yz549OHjwIAoLC1FZWemVnZf/ik6nQ0RERO+ym7FjxyIxMdGpa3k7Ojrkhx9+iNLSUle/3GvicDiwZ88eaDQa5Ofny5EjR7ptSAeudBTHx8eL+Ph43HrrraioqJAnT57E4cOHcebMGdTX16Ourg6VlZVuuwcA8P+X7oaHhyMsLAzJyckYOnQokpKSEBMT49bvwbXw7OqdyN/fX6SmpiI1NRV5eXmypqYGtbW1KC4uxsmTJ1FaWoq6ujrU1taitrbWZUf8aLVamM1mBAYGIiQkBJGRkRg8eDAyMjIQGxsLi8WCwMDAfhfK/1loaCjS09PR0tIClUrllPdJCAEpJex2O6KjoxEdHe3ql3ldGI1GJCUlweFwQKVSOe3rCiFgt9uh0+kQGRnp8nAOXNnYJiUlBQMHDnTaddPzWm02GwIDAxEWFuYWr7U/sFgsYvLkyZg8eTLmzp0ri4qKcOrUKZw4cQLl5eVoaGi47oFdp9MhJCQE4eHhCAoKwqBBgzBs2DAkJSVh8ODBLj+yx50oioK4uDhkZGT0yWetzWZDRkYGPGEtojMkJiZi6NCh6Orqcuo9qOdebjQavfpn6evrixtvvFEMHToUt99+uzx27Bj27duHEydOoKSkxKvb34UQCAwMxA033IDMzEyMHTsWQ4cORWxsrNNDkJQSjY2N+PTTT139sn9w3X//+9+hVquRn58vs7KyhDOfmfqKVqtFXFyciIuLw5QpU1BTUyPr6upQXl6OkydP4vz58725p7a2FvX19X06afNdeq5Bk8mEkJAQhIWF9S7fveGGGxAaGoqgoCCPD+VXveb+Mnr8U3R2dqKhoUHW1taiuroaxcXF+PLLL1FXV4eOjg60traipaUFzc3NaGhoQGNj40+awdVoNPDx8YHJZEJQUBAGDBgAk8kEvV6PiIgIxMXFITQ0tHeNzoABAzziRnC9VFdXy7Nnz6Krq8upobInoJtMJiQmJnps28wP0draijNnzshLly7B2Tc+u90OjUaDhIQEhIeHu/xnWVNTI4uKitDd3e3U6wa4EgYMBgMSExOveUdb6hu1tbWyuroaNTU1KCoqQnFxMWpra9HY2Ng7c3D58mV0d3eju7sbdru9N4R81wxhz++GEAIajQZarRY+Pj4wm80YOHAgAgMDERgYiPDwcCQmJiI2NhZBQUEIDQ31iM1qXEFKicLCQllZWQlFUZw+sGW1WhEWFoaEhAS33snXWS5evCiLiooAOH/pgN1uh16vR3p6Ovz9/fvN/e3ixYuyoKAAn332GT755BOcPn3aq06UCAwMRFRUFJKSkpCZmYmsrCwkJiYiODi4z95ju92Oo0ePyvnz56OsrMzjOlzUajWmT5+O1atXY9iwYR59QpLNZkNjY6Osq6tDdXU1SktLcf78eVRWVqK9vR1tbW1oaWnB5cuX0dDQgIaGBnR0dPzo90ylUsHHxwf+/v692cdsNsPHxwcDBw5EfHw8wsLCejuGg4KCvLrTjAH9R2ptbUVbW5vs7Oy8KqBfvHgRFRUVuHTpUm9bfM8MWktLy1XBXQgBnU4HPz8/qNVqOBwOqNVqmEwmDBgwACEhIbBYLBgwYACMRiP0ej38/f05y0JE5CRtbW1obW2V/xzQm5ub0dzcjKamJnR3d0MIga6uLtTU1KChoaE3tBsMBoSEhMBoNKLnQczf3x8mkwkBAQEIDAxEcHBw78i/wWDgXiBEXsZqteLChQvyzJkz+Oyzz/DFF1/g7NmzKC4uRmtrq6vLu2aKomDgwIGIiopCcnIy0tPTMWTIEMTHxyM8PPy63LusVivee+89ec8993hsV4JGo8Ftt92Gxx57DGlpaR4d0r/uq8wjOzs7rwro1dXVKC8v7524BP5/5+nly5d7lzL+88/Iz88POp2ud4mjv78/BgwYgODg4J4Z8d6A7uvr268G/wAG9D7R2dmJzs5O2bM2SQgBh8OBzs7Oq1pDhBDQarXQ6XRQFKX3ItXr9UKv18ObfqmJiDyJlBJdXV29a0xtNptsaWlBS0tL79/p9XoYjUb4+Pj0Hn2m1WrB4yuJ+qf29nbU1NTIkpISnDlzBgUFBTh37hzKyspQWVnpVke2CSEQFBSEgQMHIjo6GomJib1/YmJiYLFYrvuAYldXF/7whz/IZcuWeXQnglarxaxZs7B69WqkpKT0i6Mxu7u70dHRIb++10VXVxe6urquCuhqtRp6vR5qtbo3+2i1WtHzd8Q16H1Cr9dDr9d7/28jEZGX+mqw9Kq/MhqNri6LiNyYwWBAbGysiI2NxYQJE1BXVyerqqpQWVmJ8+fP925WWV5ejsrKSjQ3N6Ojo6PP1/UKIRAQEACz2QyLxYKoqChER0dj8ODBiImJQVhYGCwWCwICAn7SEWnO0Nra6vGb73V3d+Odd96BoihYvXq1TEpK8vqQrtVqodVqvftFXkcM6EREREREThYcHCyCg4ORlpaG7u5utLa2yqamJtTV1aGurg494b26uhq1tbW4fPkympube9f4dnd3w+FwwGazoa2tDTabDVJKaDSa3qWRPXtfAFdah319fWE2m2E2mxEcHIygoCAEBQUhKioKYWFhMJvNvXsb+fv7u92yG19fX1eX4BSdnZ3YsWMHFEXBunXrZFxcnNeHdHIeBnQiIiIioj6k1WoRGBgoAgMDERcXB+DKTGt7e7tsb29He3t7zxpftLe3o6mpCR0dHbDb7eju7kZDQ0PvcZ0963ftdjvUajWMRiM0Gg0CAgLg6+sLX1/f3rW7vr6+0Ov1MBgMbr/LtaIoCA4O9prTTjo6OrBjxw6oVCqsX79eRkdHe8cLoz7n3r+pREREREReqKct2GQyfePfbDYbHA4HpJRwOBywWq2y57/VajUURRFSSiiKAo1GA0VRnH4CyfWmKArCw8NhNptRXV3t6nKcoq2tDX/5y1+gVquxdu1aGRkZyZBO34sBnYiIiIjIjXx9ttvHx8frg52iKIiKikJcXBxqamo87pi179LW1oZt27ZBURSsXbtWusPRsuTeuE04ERERERG5lBACJpNJZGZmet1JRi0tLdi2bRs2bNiA2tpa7xh5oD7jXVc/ERERERF5JL1ej+nTp2PAgAGuLsXpmpub8ac//QlPPvkkLl26xJBO34kBnYiIiIiIXE6tViMjIwM333yz182iA0BjYyPeeOMNPPXUUwzp9J2878onIiIiIiKPZDabxc9+9jNERka6upQ+cenSJbz++uvYuHEjmpqaGNLpGxjQiYiIiIjILajVamRmZuIXv/gF9Hq9q8vpEw0NDXjttdfw3HPPoaWlhSGdrsKATkREREREbiMgIEDcddddWLhwIdz9/PYfQ0qJ+vp6/O53v8Pzzz/PkE5XYUAnIiIiIiK3IYRAWFiYWL58OebMmQONRuPqkpxOSona2lr85je/wcsvv8yQTr1U69atc3UNREREREREvYQQCAwMXJ+YmLiuqqoKX375Jex2u6vLcrq2tjacOXMGGo0G6enp67VaratLIhfjDDoREREREbkdRVGQnJws1qxZg2nTpsEbw6uUEpWVlXjppZfw6quvyvb2dleXRC7GgE5ERERERG5JURSkpqaK1atXY/LkyV4b0svLy/Hcc8/hj3/8I0N6P8eATkREREREbktRFGRkZIj8/HxMnDjRa0N6SUkJnn32Wbz11lsM6f0YAzoREREREbk1lUqF7OxssXr1auTm5nplSAeA8+fPY8uWLfjzn//MkN5PMaATEREREZHbUxQFI0eOFKtWrUJOTo5X7u4OAEVFRdiyZQveeecdhvR+iAGdiIiIiIg8gkqlwpgxY8QjjzyCUaNGeW1ILygowObNm/H+++/Ljo4OV5dD1xEDOhEREREReQyVSoXx48eLFStWIDs7G2q12tUl9YnPP/8cmzdvxgcffMCQ3o8woBMRERERkUfRaDSYPHmyWLFiBTIzM702pB87dgwbN27E7t27ZWdnp6vLoeuAAZ2IiIiIiDyORqPB1KlTxfLly5GRkQGVSuXqkvrEJ598gk2bNmHv3r2yq6vL1eVQH2NAJyIiIiIij6TVajF9+nTx8MMPIzU1FYrinfHm0KFD2Lx5Mw4ePCi7u7tdXQ71Ie+8gomIiIiIqF/Q6XSYMWOGePjhh5GSkgIhhKtLcjopJf7xj3/gP/7jP3D69GnpcDhcXRL1Ee9crEFERERERP2GwWBAXl6ecDgccvPmzSgsLISU0tVlOZXD4cCePXuQmJiI0NBQabFYvG8kgjiDTkREREREns9gMGD27NnioYceQkJCgqvL6RNtbW3405/+hEOHDoGt7t6JAZ2IiIiIiLyCr68v5s2bh4ceeghxcXGuLqdPlJaW4v3330ddXZ13tQgQAAZ0IiIiIiLyIv7+/mLBggV46KGHEBUV5epy+sTevXtRUFAAm83m6lLIyRjQiYiIiIjIqwQEBIi77roLy5YtQ0REhKvLcbqysjIcOXIEbW1tnEX3MgzoRERERETkdYxGo1i0aBH+/d//HSEhIa4ux6lsNhsKCwvR1tbm6lLIyRjQiYiIiIjIK5lMJrFkyRL8+te/RnBwsKvLcaqLFy/i8uXLri6DnIwBnYiIiIiIvFZgYKC477778OCDDyIwMNDV5ThNbW0t6uvrwTPRvQsDOhERERERebXAwEBx//3348EHH4TJZHJ1OU7R2tqKjo4OBnQvw4BOREREREReLygoSPzyl7/EAw88AD8/P1eX85M5HA4IISCEcHUp5EQM6ERERERE1C8EBweLpUuX4oEHHoCvr6+ry/lJ/Pz84Ovry4DuZRjQiYiIiIio3xg4cKD49a9/jZ///OfQ6/WuLuenvA6YzWYoCiOdN+G7SURERERE/YrFYhErV67E/fff77EhPS4uDkaj0dVlkJMxoBMRERERUb/TE9LvueceaLVaV5fzg6hUKgwZMsQr1tLT1RjQiYiIiIio3xFCIDQ0VKxcuRKLFi3yqJAeFRWFUaNGwc/PjwvQvQwDOhERERER9UtCCERFRYnHHnsMCxYs8IiQrigKxo8fj9jYWG4Q54UY0ImIiIiIqN/qCen5+fnIy8uDTqdzdUn/UkREBPLy8mCxWJjOvRADOhERERER9WtCCNxwww3i8ccfx8yZM902pOt0OsyfPx9ZWVlQqVSuLof6AAM6ERERERH1e0IIDB48WOTn52PatGlut7u7RqPBzTffjEWLFiE4OJiz516KAZ2IiIiIiAhXQnpqaqp4/PHHMXXqVLeZSVer1Rg1ahRWrFiBpKQkhnMvxoBORERERET0FSEE0tLSxKpVqzBx4kSXh3SNRoMRI0YgPz8fo0aNEorCCOfN1K4ugIiIiIiIyJ0IITB8+HCxevVqabfbsXfvXnR3d1/3OrRaLW688UasWrUK48ePF2o145u34ztMRERERET0NYqiYMSIEWLlypXSZrPhwIED1zWk63Q65OTk4JFHHmE470f4LhMREREREX0LlUqFcePGCXkFDhw4AKvV2uffV6/XIzc3F4888gjGjh3LtvZ+hAGdiIiIiIjoO/SEdKvVKq1WKw4fPgybzdZn30+v12PSpElYuXIlRo8ezXDez/DdJiIiIiIi+hfUajUmTJggli9f3qdnkOv1ekyePBmrVq1CTk4Ow3k/xBl0IiIiIiKi76HVajF58mRhtVrl5s2bcfz4cdjtdqd9fYPBgFtuuQXLly/HiBEjeJRaP8WATkREREREdA10Oh2mTZsmAMgXX3zRae3uZrMZs2bNwtKlS5Gens5w3o8JKaWrayAiIiIiIvIYXV1dOHjwoPz973+Pv//972hsbPxRX0cIgcTERMyZMwd333034uLiGM77OQZ0IiIiIiKiH6GoqEi+++67+Nvf/oZjx46hra3tmv/fqKgojB49GrNnz0Zubi4CAwMZzokBnYiIiIiI6Mdqa2tDYWGh3LdvHz7++GOcPXsWNTU1aGxs7D2STQgBX19fmM1mxMfHIyUlBTk5OcjKykJsbCw3g6NeDOhEREREREQ/UUdHByoqKmRVVRUqKipQXl6OxsZGOBwO6PV6hISEICIiApGRkQgPD0dQUBCDOX0DAzoREREREZETSSnR3t4Oq9UqpZRQFAU+Pj5Cq9W6ujRycwzoRERERERERG6APRVEREREREREboABnYiIiIiIiMgNMKATERERERERuQEGdCIiIiIiIiI3wIBORERERERE5AYY0ImIiIiIiIjcAAM6ERERERERkRtgQCciIiIiIiJyA/8Pn63cn7Rw+4kAAAAldEVYdGRhdGU6Y3JlYXRlADIwMTctMDctMThUMDA6MjI6MzQtMDQ6MDDeSYCOAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDE3LTA3LTE4VDAwOjIyOjM0LTA0OjAwrxQ4MgAAAABJRU5ErkJggg=="
id="logo" height="35" width="145" style="margin:1px 1px" /></a> Germline Plots</div>
<div id="report">Report generated on 2017-08-03</div>
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<center>
<a href="https://github.com/nilesh-tawari/ChronQC" target="_blank"> <img src="data:image/png;base64,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"
id="logo" height="50" width="195" /> </a>
<br/>
<p class="w3-small"><b>v1.0.2</b></p>
</center>
<div onmouseover="scroll_up();" onmouseout="stop_scroll();"> </div>
<div id="titles">
<nav id="navbar" class="navbar">
<ul class="nav" role="tablist">
<p class="nav-item2"> Chronqc Stats Data</p>
<li class="nav-item">
<a href="#g1">Fastqc Percent Duplicates (Mean per run with past 1 year runs rolling mean and ±2 standard deviation)</a>
</li>
<li class="nav-item">
<a href="#g2">Fastqc % GC Content (Mean per run with past 1 year runs rolling mean and ±2 standard deviation)</a>
</li>
<li class="nav-item">
<a href="#g3">Fastqc Total Sequences (Mean per run with past 1 year runs rolling mean and ±2 standard deviation)</a>
</li>
<li class="nav-item">
<a href="#g4">Bcftools Stats Number Of Snps Monthly Box-and-Whisker Plot</a>
</li>
<li class="nav-item">
<a href="#g5">Bcftools Stats Number Of Indels Monthly Box-and-Whisker Plot</a>
</li>
<li class="nav-item">
<a href="#g6">Bcftools Stats Ts/Tv</a>
</li>
<li class="nav-item">
<a href="#g7">Qualimap Median Coverage</a>
</li>
<li class="nav-item">
<a href="#g8">% Samples per run with Qualimap Median Coverage ≥ 50</a>
</li>
<li class="nav-item">
<a href="#g9">% Samples per run with Peddy Error = True</a>
</li>
</ul>
</nav>
</div>
<div onmouseover="scroll_down();" onmouseout="stop_scroll();"> </div>
</div>
</div>
<div id="main">
<div class="exann">
<br/> <b>Annotate by Date:</b>
<input type="date" id="calendarButton"/>
<input name="buttonExecute" onclick="makeDateQuery(document.getElementById('calendarButton').value)" type="button" value="submit" style="margin-top: 20px"/>
<br/>
<br/>
<input type=checkbox checked id='chk-zoom' onChange='syncchk()'>
<label for='chk-zoom'>Synchronize Zoom</label>
</div> <br/>
<h2 id="g1"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g1_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g1_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g1_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g1_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g1_fromdate').value,document.getElementById('g1_todate').value,g1_graphvar)" type="button" value="submit" />
<button id = "g1_restorebutton" class="buttons">All historical data</button>
<button id = "g1_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g1_labeldiv" class= "labels" ></div></div>
<h2 id="g2"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g2_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g2_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g2_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g2_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g2_fromdate').value,document.getElementById('g2_todate').value,g2_graphvar)" type="button" value="submit" />
<button id = "g2_restorebutton" class="buttons">All historical data</button>
<button id = "g2_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g2_labeldiv" class= "labels" ></div></div>
<h2 id="g3"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g3_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g3_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g3_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g3_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g3_fromdate').value,document.getElementById('g3_todate').value,g3_graphvar)" type="button" value="submit" />
<button id = "g3_restorebutton" class="buttons">All historical data</button>
<button id = "g3_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g3_labeldiv" class= "labels" ></div></div>
<h2 id="g4"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g4_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g4_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g4_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g4_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g4_fromdate').value,document.getElementById('g4_todate').value,g4_graphvar)" type="button" value="submit" />
<button id = "g4_restorebutton" class="buttons">All historical data</button>
<button id = "g4_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g4_labeldiv" class= "labels" ></div></div>
<h2 id="g5"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g5_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g5_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g5_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g5_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g5_fromdate').value,document.getElementById('g5_todate').value,g5_graphvar)" type="button" value="submit" />
<button id = "g5_restorebutton" class="buttons">All historical data</button>
<button id = "g5_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g5_labeldiv" class= "labels" ></div></div>
<h2 id="g6"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g6_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g6_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g6_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g6_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g6_fromdate').value,document.getElementById('g6_todate').value,g6_graphvar)" type="button" value="submit" />
<button id = "g6_restorebutton" class="buttons">All historical data</button>
<button id = "g6_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g6_labeldiv" class= "labels" ></div></div>
<h2 id="g7"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g7_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g7_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g7_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g7_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g7_fromdate').value,document.getElementById('g7_todate').value,g7_graphvar)" type="button" value="submit" />
<button id = "g7_restorebutton" class="buttons">All historical data</button>
<button id = "g7_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g7_labeldiv" class= "labels" ></div></div>
<h2 id="g8"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g8_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g8_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g8_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g8_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g8_fromdate').value,document.getElementById('g8_todate').value,g8_graphvar)" type="button" value="submit" />
<button id = "g8_restorebutton" class="buttons">All historical data</button>
<button id = "g8_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g8_labeldiv" class= "labels" ></div></div>
<h2 id="g9"></h2>
<div class="bigcontainer">
<div class="smallcontainer"><button type="button" onclick="save2(g9_graphvar)" class="btn btn-default btn-sm"><span class="glyphicon glyphicon-download-alt"></span></button>
<div id="g9_divname" class = "chart"></div>
<div class="interaction"><br/><br/><b> Highlight Date Range:</b>
<input id="g9_fromdate" type="date" style="width:105px; font-size: 0.85em"/><b>:</b><input id="g9_todate" type="date"style="width:105px; font-size: 0.85em"/>
<input name="buttonExecute" onclick="Highlight(document.getElementById('g9_fromdate').value,document.getElementById('g9_todate').value,g9_graphvar)" type="button" value="submit" />
<button id = "g9_restorebutton" class="buttons">All historical data</button>
<button id = "g9_yearbutton" class="buttons">1 year data</button>
</div></div><div id="g9_labeldiv" class= "labels" ></div></div>
<a href="#g1" id = "upbutton" class="up_button" title="Go to top"></a>
</div>
<script type="text/javascript">
var scrolling = null;
function scroll_up() {
var d = document.getElementById('titles');
d.scrollTop = d.scrollTop - 5;
scrolling = window.setTimeout(function() {
scroll_up();
}, 30);
}
function scroll_down() {
var d = document.getElementById('titles');
d.scrollTop = d.scrollTop + 5;
scrolling = window.setTimeout(function() {
scroll_down();
}, 30);
}
function stop_scroll() {
window.clearTimeout(scrolling);
}
function toggleMenu() {
var menuBox = document.getElementById('mySidebar-2');
if ((menuBox.style.display == "")) { // if is menuBox display is empty, consider displayed
document.getElementById("main").style.marginLeft = "1em";
document.getElementById("header").style.marginLeft = "0em";
document.getElementById("mySidebar").style.display = "block";
document.getElementById("mySidebar").style.width = "0";
menuBox.style.display = "block";
}
if (menuBox.style.display == "block") { // if is menuBox displayed, hide it
menuBox.style.display = "none";
document.getElementById("main").style.marginLeft = "-18em";
document.getElementById("header").style.marginLeft = "-18em";
document.getElementById("report").style.marginRight = "-18em";
var elements = document.getElementsByClassName("bigcontainer");
for (var i = 0; i < elements.length; i++) {
elements[i].style.width = "100%";
elements[i].style.zoom = "100%";
}
for (var i = 0; i < gs.length; i++) {
gs[i].resize()
}
} else { // if is menuBox hidden, display it
document.getElementById("main").style.marginLeft = "1em";
document.getElementById("header").style.marginLeft = "0em";
document.getElementById("report").style.marginRight = "0em";
document.getElementById("mySidebar").style.display = "block";
document.getElementById("mySidebar").style.width = "0";
menuBox.style.display = "block";
var elements = document.getElementsByClassName("bigcontainer");
for (var i = 0; i < elements.length; i++) {
elements[i].style.width = "90%";
elements[i].style.zoom = "100%";
}
for (var i = 0; i < gs.length; i++) {
gs[i].resize()
}
}
}
jQuery('#upbutton').on("click",function(){
jQuery("#titles").scrollTop(0);
});
////////////////////////////////////////////////////////////////////////////////////////
Dygraph.Export.DEFAULT_ATTRS = {
backgroundColor: "white",
//Texts displayed below the chart's x-axis and to the left of the y-axis
titleFont: "bold 12px sans-serif",
titleFontColor: "black",
//Texts displayed below the chart's x-axis and to the left of the y-axis
axisLabelFont: "12px sans-serif",
axisLabelFontColor: "black",
axisMargin: 20,
// Texts for the axis ticks
labelFont: "normal 10px sans-serif",
labelFontColor: "black",
// Text for the chart legend
legendFont: " 12px sans-serif",
legendFontColor: "black",
// Default position for vertical labels
vLabelLeft: 15,
legendHeight: 20, // Height of the legend area
legendMargin: 20,
lineHeight: 30,
maxlabelsWidth: 0,
labelTopMargin: 35,
magicNumbertop: 10
};
Dygraph.Export.drawPlot = function (canvas, dygraph, options) {
"use strict";
var ctx = canvas.getContext("2d");
// Add user defined background
ctx.fillStyle = options.backgroundColor;
ctx.fillRect(0, 0, canvas.width, canvas.height);
// Copy the plot canvas into the context of the new image.
var plotCanvas = dygraph.hidden_;
var i = 0;
ctx.drawImage(plotCanvas, 0, 0);
// Add the x and y axes
var axesPluginDict = Dygraph.Export.getPlugin(dygraph, 'Axes Plugin');
if (axesPluginDict) {
var axesPlugin = axesPluginDict.plugin;
for (i = 0; i < axesPlugin.ylabels_.length; i++) {
Dygraph.Export.putLabel(ctx, axesPlugin.ylabels_[i], options,
options.labelFont, options.labelFontColor);
}
for (i = 0; i < axesPlugin.xlabels_.length; i++) {
Dygraph.Export.putLabel(ctx, axesPlugin.xlabels_[i], options,
options.labelFont, options.labelFontColor);
}
}
// Title and axis labels
var labelsPluginDict = Dygraph.Export.getPlugin(dygraph, 'ChartLabels Plugin');
if (labelsPluginDict) {
var labelsPlugin = labelsPluginDict.plugin;
Dygraph.Export.putLabel1(ctx, labelsPlugin.title_div_, options,
options.titleFont, options.titleFontColor, "yes");
Dygraph.Export.putLabel1(ctx, labelsPlugin.xlabel_div_, options,
options.axisLabelFont, options.axisLabelFontColor, "no");
Dygraph.Export.putVerticalLabelY1(ctx, labelsPlugin.ylabel_div_, options,
options.axisLabelFont, options.axisLabelFontColor, "center");
Dygraph.Export.putVerticalLabelY22(ctx, labelsPlugin.y2label_div_, options,
options.axisLabelFont, options.axisLabelFontColor, "center");
}
for (i = 0; i < dygraph.layout_.annotations.length; i++) {
Dygraph.Export.putLabelAnn(ctx, dygraph.layout_.annotations[i], options,
options.labelFont, options.labelColor);
}
};
Dygraph.Export.putLabel1 = function (ctx, divLabel, options, font, color, title) {
"use strict";
if (!divLabel || !divLabel.style) {
return;
}
var top = parseInt(divLabel.style.top, 10);
var left = parseInt(divLabel.style.left, 10);
if (!divLabel.style.top.length) {
var bottom = parseInt(divLabel.style.bottom, 10);
var height = parseInt(divLabel.style.height, 10);
top = ctx.canvas.height - options.legendHeight - bottom - height;
}
top = top + options.magicNumbertop;
var width = parseInt(divLabel.style.width, 10);
if(title == "no"){
left = left + Math.ceil(width / 2);
Dygraph.Export.putText(ctx, left, top, divLabel, font, color);
}
else{
Dygraph.Export.putText1(ctx, left, top, divLabel, font, color, width);
}
};
Dygraph.Export.putText1 = function (ctx, left, top, divLabel, font, color, width) {
"use strict";
var textAlign = divLabel.style.textAlign || "left";
var text = divLabel.innerText || divLabel.textContent;
text = "Title: " + text;
ctx.fillStyle = color;
ctx.font = font;
ctx.textAlign = textAlign;
ctx.textBaseline = "middle";
ctx.fillText(text, left, top, width);
};
Dygraph.Export.putVerticalLabelY1 = function (ctx, divLabel, options, font, color, textAlign) {
"use strict";
if (!divLabel) {
return;
}
var top = parseInt(divLabel.style.top, 10);
var left = parseInt(divLabel.style.left, 10) + parseInt(divLabel.style.width, 10) / 2;
var text = divLabel.innerText || divLabel.textContent;
if (!left)
left = options.vLabelLeft;
if (textAlign == "center") {
top = Math.ceil(ctx.canvas.height / 2);
}
ctx.save();
ctx.translate(0, ctx.canvas.height);
ctx.rotate(-Math.PI / 2);
ctx.fillStyle = color;
ctx.font = font;
ctx.textAlign = textAlign;
ctx.fillText(text, top, left);
ctx.restore();
};
Dygraph.Export.putVerticalLabelY22 = function (ctx, divLabel, options, font, color, textAlign) {
"use strict";
if (!divLabel) {
return;
}
var top = parseInt(divLabel.style.top, 10);
var right = parseInt(divLabel.style.right, 10) + parseInt(divLabel.style.width, 10) * 2;
var text = divLabel.innerText || divLabel.textContent;
if (textAlign == "center") {
top = Math.ceil(ctx.canvas.height / 2);
}
ctx.save();
ctx.translate(parseInt(divLabel.style.width, 10), 0);
ctx.rotate(Math.PI / 2);
ctx.fillStyle = color;
ctx.font = font;
ctx.textAlign = textAlign;
ctx.fillText(text, top, 10-ctx.canvas.width);
ctx.restore();
};
Dygraph.Export.hack_update = function(self, o) {
if (typeof(o) != 'undefined' && o !== null) {
for (var k in o) {
if (o.hasOwnProperty(k)) {
self[k] = o[k];
}
}
}
return self;
};
Dygraph.Export.asCanvas = function (dygraph, userOptions) {
"use strict";
var options = {},
canvas = document.createElement('canvas');
Dygraph.Export.hack_update(options, Dygraph.Export.DEFAULT_ATTRS);
Dygraph.Export.hack_update(options, userOptions);
canvas.width = dygraph.width_;
canvas.height = dygraph.height_ + options.legendHeight;
Dygraph.Export.drawPlot(canvas, dygraph, options);
Dygraph.Export.drawLegend(canvas, dygraph, options);
return canvas;
};
function save2(graph_var) {
var img = document.createElement('img');
Dygraph.Export.asPNG(graph_var, img);
var gh = img.src;
var a = document.createElement('a');
a.href = gh;
a.download = 'image.png';
a.click()
}
////////////////////////////////////////////////////////////////////////////////////////
var $j = jQuery.noConflict();
////////////////////////////////////////////////////////////////////////////////////////
var panelname = "Germline";
var obj = [];
var runjson = '';
var runrequest = $j.ajax({
type: "GET",
url: "http://localhost:8000/runannotation",
async: false,
success: function(text) {
runjson = text;
}
});
if (runjson.length == 0) {
var obj = '';
} else {
var obj12 = JSON.parse(runjson);
for (i = 0; i < obj12.length; i++) {
if (obj12[i].Panel == panelname) {
obj.push(obj12[i]);
}
}
}
var datejson = '';
var dateobj = [];
var daterequest = $j.ajax({
type: "GET",
url: "http://localhost:8000/dateannotation",
async: false,
success: function(text) {
datejson = text;
}
});
if (datejson.length == 0) {
var dateobj = ''
} else {
var dateobj12 = JSON.parse(datejson);
for (i = 0; i < dateobj12.length; i++) {
if (dateobj12[i].Panel == panelname) {
dateobj12[i].Notes = dateobj12[i].Notes.replace(/hashmark/g, '#');
dateobj12[i].Notes = dateobj12[i].Notes.replace(/questmark/g, '?');
dateobj12[i].Notes = dateobj12[i].Notes.replace(/backslash/g, '/');
dateobj.push(dateobj12[i]);
}
}
}
////////////////////////////////////////////////////////////////////////////////////////
function stackedBarPlotter(e) {
// We need to handle all the series simultaneously.
if (e.seriesIndex !== 0) return;
var g = e.dygraph,
ctx = e.drawingContext,
sets = e.allSeriesPoints,
y_bottom = e.dygraph.toDomYCoord(0),
strokeColors = g.getColors(),
min_sep, points, sep, bar_width, p, center_x, x_left
// Find the minimum separation between x-values.
// This determines the bar width.
min_sep = Infinity;
for (var j = 0; j < sets.length; j++) {
points = sets[j];
for (var i = 1; i < points.length; i++) {
sep = points[i].canvasx - points[i - 1].canvasx;
if (sep < min_sep) min_sep = sep;
}
}
bar_width = Math.floor(3.0 / 5 * min_sep);
for (var j = sets.length - 1; j >= 0; j--) {
ctx.fillStyle = strokeColors[j];
ctx.strokeStyle = "#000000";
for (var i = sets[j].length - 1; i >= 0; i--) {
p = sets[j][i];
ctx.fillRect(p.canvasx, p.canvasy, bar_width, y_bottom - p.canvasy);
ctx.strokeRect(p.canvasx, p.canvasy, bar_width, y_bottom - p.canvasy);
}
}
}
////////////////////////////////////////////////////////////////////////////////////////
// Multiple column bar chart
function multiColumnBarPlotter(e) {
// We need to handle all the series simultaneously.
if (e.seriesIndex !== 0) return;
var g = e.dygraph,
ctx = e.drawingContext,
set = e.allSeriesPoints,
y_bottom = e.dygraph.toDomYCoord(0),
strokeColors = g.getColors(),
sets = [],
min_sep, points, sep, bar_width, p, center_x, x_left
for (i = 0; i < set.length - 1; i++) {
sets.push(set[i])
}
// Find the minimum separation between x-values.
// This determines the bar width.
min_sep = Infinity;
for (var j = 0; j < sets.length; j++) {
points = sets[j];
console.log
for (var i = 1; i < points.length; i++) {
sep = points[i].canvasx - points[i - 1].canvasx;
if (sep < min_sep) min_sep = sep;
}
}
bar_width = Math.floor(2.0 / 2 * min_sep);
for (var j = 0; j < sets.length; j++) {
ctx.fillStyle = strokeColors[j];
ctx.strokeStyle = "#000000";
for (var i = 0; i < sets[j].length; i++) {
p = sets[j][i];
center_x = p.canvasx;
x_left = center_x + (bar_width / 2) * (1 - j / (sets.length - 1));
ctx.fillRect(x_left, p.canvasy, bar_width / sets.length, y_bottom - p.canvasy);
ctx.strokeRect(x_left, p.canvasy, bar_width / sets.length, y_bottom - p.canvasy);
}
}
}
////////////////////////////////////////////////////////////////////////////////////////
function makeQuery(run, date) {
if (runrequest.status < 600 && runrequest.status >= 400 || runrequest.status == 0) {
alert("Visit https://github.com/nilesh-tawari/ChronQC for details on using ChronQC.");
} else {
if(run=="NA"||run==""){return}
var annotation = prompt("RunName: " + run, "Annotation");
if (annotation == null || annotation == "Annotation") {} else {
var str = annotation;
var str = str.replace(/[?]/g, '?');
var str = str.replace(/[#]/g, '#');
var annotation = str.replace(/\//g, '⁄');
$j.get("http://localhost:8000/dataQuery/" + run + "/" + panelname + "/" + annotation, function(result) {})
alert("Annotation Added!")
window.location.reload(true);
}
}
}
///////////////////////////////////////////////////////////////////////////////////////
function makeDateQuery(Date) {
if (daterequest.status >= 400 && daterequest.status < 600 || daterequest.status == 0) {
alert("Visit https://github.com/nilesh-tawari/ChronQC for details on using ChronQC.");
} else {
if(Date=="") {return}
var Notes = prompt("Date: " + Date, "Annotation (not more than 10 characters)");
if (Date == null || Notes == null || Notes == "Annotation (not more than 10 characters)" || Notes == "Annotation") {} else if (Notes.length > 10) {
alert("Annotation length must not exceed 10 characters")
} else {
var str = Notes;
var str = str.replace(/[?]/g, 'questmark');
var str = str.replace(/[#]/g, 'hashmark');
var Notes = str.replace(/\//g, 'backslash');
$j.get("http://localhost:8000/datedataQuery/" + Date + "/" + panelname + "/" + Notes, function(result) {})
alert("Annotation Added!")
window.location.reload(true);
}
}
}
////////////////////////////////////////////////////////////////////////////////////////
function candlePlotter(e) {
if (e.seriesIndex !== 0) return;
var BAR_WIDTH = 18;
var prices = [];
var price;
var sets = e.allSeriesPoints;
data = e.drawingContext;
/*for (p = 0 ; p < data.length; p++) {
b = data[p][0]
data[p][0]= moment(data[p][0]).format("DD/MM/YYYY")
}*/
for (var p = 0 ; p < sets[0].length; p++) {
price = {
open : sets[0][p].yval,
close : sets[1][p].yval,
high : sets[2][p].yval,
low : sets[3][p].yval,
middle: sets[4][p].yval,
openY : sets[0][p].y,
closeY : sets[1][p].y,
highY : sets[2][p].y,
lowY : sets[3][p].y,
middleY : sets[4][p].y,
};
prices.push(price);
}
var area = e.plotArea;
var ctx = e.drawingContext;
ctx.strokeStyle = '#202020';
ctx.fillStyle="#ffffff";
ctx.lineWidth = 0.8;
for (p = 0 ; p < prices.length; p++) {
ctx.beginPath();
ctx.save();
price = prices[p];
var topY = area.h * price.highY + area.y;
var midY = area.h * price.middleY + area.y;
var bottomY = area.h * price.lowY + area.y;
var centerX = area.x + sets[0][p].x * area.w;
var bodyY, bodyHeight;
ctx.fillStyle = '#ffd9b3';
ctx.strokeStyle = "#ffa64d";
ctx.lineWidth=1.5;
bodyY = area.h * price.closeY + area.y;
bodyHeight = area.h * Math.abs(price.openY - price.closeY);
ctx.fillRect(centerX - BAR_WIDTH / 2, bodyY, BAR_WIDTH, bodyHeight);
ctx.strokeRect(centerX - BAR_WIDTH / 2, bodyY, BAR_WIDTH, bodyHeight);
ctx.moveTo(centerX, topY);
ctx.lineTo(centerX, bottomY);
ctx.stroke();