iizhaki/Week 2.2

## Week 2.2
{
 "metadata": {
  "name": "Idan's first notebook"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": "Gabor Filter - Semi-Supervised Method "
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Load libraries:\n\n- brainstem - jpeg2000 handling\n- decomposition - PCA algorithm\n- cluster - KMeans algorithm for PCA\n- pyplot - graphics and math\n- texture - Gabor filter engine and auxiliary interfaces"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import brainstem as b\nfrom sklearn.decomposition import PCA\nfrom sklearn.cluster import MiniBatchKMeans\nfrom matplotlib import pyplot as pp\nimport texture as tx\n\n%matplotlib inline\nimport mpld3\n\nmpld3.enable_notebook()",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Stage 1:\n\n- Load image (grey scale)\n- Trim borders\n- Display frequencies corresponding to number of columns"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# get a list of all available image files\nfilenames = b.get_filenames()\n\nimg = b.get_img(filenames[0], 4)\n\nimg = b.make_grey(img)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "print img.shape\n#pylab.imshow(img, cmap = cm.Greys_r, shape = ((1024, 768)))",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "(1125, 1500)\n"
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "# get a list of all available image files\nfilenames = b.get_filenames()\n\nimg = b.get_img(filenames[0], 4)\n\nimg = b.make_grey(img)\nimg = img[300:-200, 300:-300]\n\npylab.imshow(img, cmap = cm.Greys_r)\nprint tx.get_freqs(img)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "[0.0015713484026367724, 0.0031426968052735448, 0.0062853936105470897, 0.012570787221094179, 0.025141574442188359, 0.050283148884376717, 0.10056629776875343]\n"
      },
      {
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axclass : \"axes\";\n      this.clipid = (typeof clipid != 'undefined') ? clipid : \"clip\";\n      this.zoomable = zoomable;\n\n      this.sharex = [];\n      this.sharey = [];\n      this.elements = [];\n\n      this.position = [this.bbox[0] * this.fig.width,\n                       (1 - this.bbox[1] - this.bbox[3]) * this.fig.height];\n      this.width = bbox[2] * this.fig.width;\n      this.height = bbox[3] * this.fig.height;\n\n      if(this.xscale === 'log'){\n        this.xdom = d3.scale.log();\n      }else if(this.xscale === 'date'){\n        this.xdom = d3.time.scale();\n      }else{\n        this.xdom = d3.scale.linear();\n      }\n\n      if(this.yscale === 'log'){\n        this.ydom = d3.scale.log();\n      }else if(this.yscale === 'date'){\n        this.ydom = d3.time.scale();\n      }else{\n        this.ydom = d3.scale.linear();\n      }\n\n      this.xdom.domain(this.xdomain)\n            .range([0, this.width]);\n\n      this.ydom.domain(this.ydomain)\n            .range([this.height, 0]);\n\n      if(this.xscale === 'date'){\n         this.xmap = d3.time.scale()\n                           .domain(this.xdomain)\n                           .range(this.xlim);\n         this.x = function(x){return this.xdom(this.xmap.invert(x));}\n      }else if(this.xscale === 'log'){\n         this.xmap = this.xdom;\n         this.x = this.xdom;\n      }else{\n         this.xmap = this.xdom;\n         this.x = this.xdom;\n      }\n\n      if(this.yscale === 'date'){\n         this.ymap = d3.time.scale()\n                              .domain(this.ydomain)\n                              .range(this.ylim);\n         this.y = function(y){return this.ydom(this.ymap.invert(y));}\n      }else if(this.xscale === 'log'){\n         this.ymap = this.ydom;\n         this.y = this.ydom;\n      }else{\n         this.ymap = this.ydom;\n         this.y = this.ydom;\n      }\n    }\n\n    Axes.prototype.draw = function(){\n      this.zoom = d3.behavior.zoom()\n                          .x(this.xdom)\n                          .y(this.ydom)\n                          .on(\"zoom\", this.zoomed.bind(this));\n\n      this.baseaxes = this.fig.canvas.append(\"g\")\n                             .attr('transform', 'translate('\n                                                 + this.position[0] + ','\n                                                 + this.position[1] + ')')\n                             .attr('width', this.width)\n                             .attr('height', this.height)\n                             .attr('class', \"baseaxes\");\n\n      if(this.zoomable){\n        this.baseaxes.call(this.zoom);\n      }\n\n      this.axesbg = this.baseaxes.append(\"svg:rect\")\n                             .attr(\"width\", this.width)\n                             .attr(\"height\", this.height)\n                             .attr(\"class\", \"axesbg\");\n\n      this.clip = this.baseaxes.append(\"svg:clipPath\")\n                          .attr(\"id\", this.clipid)\n                          .append(\"svg:rect\")\n                             .attr(\"x\", 0)\n                             .attr(\"y\", 0)\n                             .attr(\"width\", this.width)\n                             .attr(\"height\", this.height)\n\n      this.axes = this.baseaxes.append(\"g\")\n                           .attr(\"class\", this.axclass)\n                           .attr(\"clip-path\", \"url(#\" + this.clipid + \")\");\n\n      for(var i=0; i<this.elements.length; i++){\n        this.elements[i].draw();\n      }\n    };\n\n    Axes.prototype.zoomed = function(propagate){\n      // propagate is a boolean specifying whether to propagate movements\n      // to shared axes, specified by sharex and sharey.  Default is true.\n      propagate = (typeof propagate == 'undefined') ? true : propagate;\n\n      //console.log(this.zoom.translate());\n      //console.log(this.zoom.scale());\n      //console.log(this.zoom.x().domain());\n      //console.log(this.zoom.y().domain());\n\n      for(var i=0; i<this.elements.length; i++){\n        this.elements[i].zoomed();\n      }\n\n      if(propagate){\n        // update shared x axes\n        for(var i=0; i<this.sharex.length; i++){\n          this.sharex[i].zoom.x().domain(this.zoom.x().domain());\n          this.sharex[i].zoomed(false);\n        }\n        // update shared y axes\n        for(var i=0; i<this.sharey.length; i++){\n          this.sharey[i].zoom.y().domain(this.zoom.y().domain());\n          this.sharey[i].zoomed(false);\n        }\n      }\n    };\n\n    Axes.prototype.add_element = function(element){\n      this.elements.push(element);\n    };\n\n    Axes.prototype.prep_reset = function(){\n      // interpolate() does not work on dates, so we map dates to numbers,\n      // interpolate the numbers, and then invert the map.\n      // we use the same strategy for log, so the interpolation will be smooth.\n      // There probably is a cleaner approach...\n\n      if (this.xscale === 'date'){\n        var start = this.xdom.domain();\n        var end = this.xdomain;\n        var interp = d3.interpolate(\n                [this.xmap(start[0]), this.xmap(start[1])],\n                [this.xmap(end[0]), this.xmap(end[1])]);\n        this.ix = function(t){\n          return [this.xmap.invert(interp(t)[0]),\n                  this.xmap.invert(interp(t)[1])];\n        }\n      }else{\n        this.ix = d3.interpolate(this.xdom.domain(), this.xlim);\n      }\n\n      if (this.yscale === 'date'){\n        var start = this.ydom.domain();\n        var end = this.ydomain;\n        var interp = d3.interpolate(\n                [this.ymap(start[0]), this.ymap(start[1])],\n                [this.ymap(end[0]), this.ymap(end[1])]);\n        this.iy = function(t){\n          return [this.ymap.invert(interp(t)[0]),\n                  this.ymap.invert(interp(t)[1])];\n        }\n      }else{\n        this.iy = d3.interpolate(this.ydom.domain(), this.ylim);\n      }\n    }\n\n    Axes.prototype.finalize_reset = function(){\n      this.zoom.scale(1).translate([0, 0]);\n    }\n\n    Axes.prototype.reset = function(){\n      this.prep_reset();\n      d3.transition().duration(750).tween(\"zoom\", function() {\n        return function(t) {\n          this.zoom.x(this.xdom.domain(this.ix(t)))\n                   .y(this.ydom.domain(this.iy(t)));\n          this.zoomed();\n        };\n      });\n      this.finalize_reset();\n    };\n\n\n\n    function Axis(axes, position, nticks, tickvalues, tickformat){\n      this.axes = axes;\n      this.position = position;\n      this.nticks = nticks;\n      this.tickvalues = tickvalues;\n      this.tickformat = tickformat;\n      if (position == \"bottom\"){\n        this.transform = \"translate(0,\" + this.axes.height + \")\";\n        this.scale = this.axes.xdom;\n        this.class = \"x axis\";\n      }else if (position == \"top\"){\n        this.transform = \"translate(0,0)\"\n        this.scale = this.axes.xdom;\n        this.class = \"x axis\";\n      }else if (position == \"left\"){\n        this.transform = \"translate(0,0)\";\n        this.scale = this.axes.ydom;\n        this.class = \"y axis\";\n      }else{\n        this.transform = \"translate(\" + this.axes.width + \",0)\";\n        this.scale = this.axes.ydom;\n        this.class = \"y axis\";\n      }\n    }\n\n    Axis.prototype.draw = function(){\n      this.axis = d3.svg.axis()\n                          .scale(this.scale)\n                          .orient(this.position)\n                          .ticks(this.nticks)\n                          .tickValues(this.tickvalues)\n                          .tickFormat(this.tickformat);\n      this.elem = this.axes.baseaxes.append('g')\n                        .attr(\"transform\", this.transform)\n                        .attr(\"class\", this.class)\n                        .call(this.axis);\n    };\n\n    Axis.prototype.zoomed = function(){\n      this.elem.call(this.axis);\n    };\n\n\n\n    function Grid(axes, xy){\n      this.axes = axes;\n      this.class = xy + \" grid\"\n      if(xy == \"x\"){\n        this.transform = \"translate(0,\" + this.axes.height + \")\";\n        this.position = \"bottom\";\n        this.scale = this.axes.xdom;\n        this.tickSize = -this.axes.height;\n      }else{\n        this.transform = \"translate(0,0)\";\n        this.position = \"left\";\n        this.scale = this.axes.ydom;\n        this.tickSize = -this.axes.width;\n      }\n    }\n\n    Grid.prototype.draw = function(){\n      this.grid = d3.svg.axis()\n                          .scale(this.scale)\n                          .orient(this.position)\n                          .tickSize(this.tickSize, 0, 0)\n                          .tickFormat(\"\");\n      this.elem = this.axes.axes.append(\"g\")\n                          .attr(\"class\", this.class)\n                          .attr(\"transform\", this.transform)\n                          .call(this.grid);\n    };\n\n    Grid.prototype.zoomed = function(){\n      this.elem.call(this.grid);\n    };\n\n\n\n    // This function constructs a mapped SVG path\n    // from an input data array\n    var construct_SVG_path = function(data, xmap, ymap){\n       var result = \"\";\n       for (var i=0;i<data.length;i++){\n          result += data[i][0];\n          if(data[i][0] == 'Z'){\n            continue;\n          }\n          for (var j=0;j<data[i][1].length;j++){\n            if(j % 2 == 0){\n               result += \" \" + xmap(data[i][1][j]);\n            }else{\n               result += \" \" + ymap(data[i][1][j]);\n            }\n          }\n          result += \" \";\n       }\n       return result;\n     };\n\n\n      var figwidth = 6.0 * 80;\n      var figheight = 4.0 * 80;\n      var fig = new Figure(\"div#figure3792f6dc886d4839b436326e2f7b7d2e\",\n                           figwidth, figheight);\n\n\n\n    var ax1 = new Axes(fig, [0.14050000000000001, 0.125, 0.74399999999999999, 0.77500000000000002], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes1\",\n                               \"clip3792f6dc886d4839b436326e2f7b7d2e1\", true);\n\n\n\n// Add an Axis element\nax1.add_element(new Axis(ax1, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax1.add_element(new Axis(ax1, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image96cf0d7751bb4661adacc889317fbcf2 = new function(){\n  this.ax = ax1;\n  this.data = \"data:image/png;base64,\" + \"iVBORw0KGgoAAAANSUhEUgAAAWcAAAD5CAYAAAD7o/QKAAAABHNCSVQICAgIfAhkiAAAIABJREFUeJzsvVlwHcd1P/y7+75f7Pu+cgNJgYtEarNkxVJiWymXK7Gfkry48pLK8ubke0ollTeXq5xyVey/7bItm5ZsSxElaqFIQRRXkIQAEMS+417cC9x93+Z7wNedwWhm7sxdAKa+/6lCAZil+0z36dPn/Pr0aUU6nWYgQgzDQKFQiD3C+w4hhUKx7382kXtyyxeqs1LlCfErhdjfW4nvKpe47SK3fSrZrnLqFCPCB7eduXJHrh10P7D54n4Lty+4xOa1mnLErZ/9v5T2L/aNhA5jLIjpG3Kfyw9fWxT7Nqm8lKo/lcUerISi4yuDXOMTilKUI7u8gyS+Tj5spcwwDP0h/xMSmyz56LDaVYgI/6Sd2f8fNB/FiK2YhMYA94fbV6W0u5S2KKe9uG3PJjH5Oog+EqtDqpwI6aFS+qKccVNUOVeCpM6eUhRBqR1cLeXCxw+7c4WUJPv+QRGXl2oP4lIVO59SElJUfAOIq8DZz1WqveWUIyYDUsuX8l45E6mYUcGePNjPF7OYuWWKlV8pkqpj2LwLyZAUqrRnwOZFsnIuV6jFmJfzYaU2QjnWOPd/PounGF9CLqyYeyV2TU49QvWK1c33t9w2lPIed/CKTRpCCoHrhfHBHdX0AKSWKUVGhPiUY6mXSkJtz2fNF5N/Icu6GnzLLYvLL7fNpU4q3HcqQYVCgf4tWTnLnUn4rovNVsWuHwZJweTY1rHUWbvcZ0qBJfje5/7mszK5yk9q/VImHe51MfkoJlfciZN9T+x9KQOPr2wp3yBUZjELstJWPrf8UkjI4+K7XsrEwqVqe7pcvrl9XCgUeGW/2qRU/o9KPhBYg0ulWNFCs3olFKIUKtUCKBU35JYh9r9cnsh1rsXJLp9PwcmpnztQqyHcQjBRMTmRqky5k5RUKEisv6TUJzYG5FAxmEJOOVwZkQNbVALWqQRxv6MYtCG1v6tFh6KcuZ0qNMjYfwu5ScUUotTnxe6LEVc45eJq0Wj0wARArqKUY4Uehicktd/4Jp9i70m13OW8K6Tk+ZQynycmd4IT84hKdf+514pNKEIQQqkk5M3y1cutj2vdc79HSOdw6xXiq+KeTrFQOrkktdPZgsrXAGLXqklSG5jLH9//UqCOSpNUJSWmsNhlPSn8C7Uv399iZYlZd3zyyFePWJuI1SmkyPjqZl8X+p+P+Pq1nImFrxy+9pHLZ7VIqP3F2p57vdiEU01i839oljP3t5j1zH2vlLoqTUL8Cln4TwLxuW5iloGQIB8GCVmb3L/5ngWEv5XrnnMVD/ddPk+i2CAW4o87DthWdTHLWk5dfCTHi+JrB+51bntIsdLF6uZTlqWUI/ae2LvlKOZKQXmHopxLIak4mVz3uhSFI6TQSu2Mg1Z6pSgYqc8cJMnhWchL4JMrOS4/nzLlIzkKgutuV6rdpSg8br1SvlFsYhcbt3K9VKGyipUj5k1JgZfk8sxu23L67olRzlxB5LNUpJbD1ziVnCH5BroUmECMZ265fP8LvVfOfSnCXgkPRowvKRMvn9XGp1jYA6yUgSzH+xHrbyFoQQzS4EIqxagUi70YCVn0xRRssT6UMoGJUTkeqZgeYJcr1DdC/wvVJfa/HDpwzJnbEHKYl6PwuHVIfbfSiuegqZxBXerkUkmSa02JeS9CMlBJnJFvAEvlX+rgL9UCK+U9ueNRrI5yLUe+uoqRXPkXUsrc5w6K2PwfuOUshEVVGvsRs1aqQVwXEPgytiinrGrwxiUhxcYV3nKgH7n3pJIQ72J4rZiVV4qxwH5Pyn02XCGmmLn8lzMGqkVcD5VPTqTAKFKpFNxYTllcXVQK1CVEUiAePjp0WKPYoGC7mZUuu5LEh9+yB2Oxd/n+L9WFk3KNzWexSbIc6KcUaEGM2O3JVVxSlB+f4uYrq1Iyw61DCq7J/aZS6qok8U1kfHVJUWjVmDCkwBZsuSnWvsUmGinElVOhcsXoQJSzmFVcbEYsNrjF3ucOhIOCLKTWI6TAuEIkl28xBS2kFNjWD/tHrgVR6TbnK589YXMnMq7nQn6LQRh8g1usr8UMCbnfITQxc/mXQlKNAbkkV575rsk1UNgkBYYTaiuuPEupo1gbivUZt95y6EATHwHF8R7yjJjilmpZCCm9Uknu4CtGUoRO7DmhMsWsXyGFxbUsSoWZDtpbEapfSEb4IJtSrCI516WUxf7N5ksOf1xYrVwSg3/K8aaE6pL7XrVgGzmKvJp8HNr2ba77yb0mZXaSck8qP5UgPtfpIJRUKcS1GqVaOGw6qG8T8564So37npjFLLdOvvqLXeMrSwhOYfPHHhulWq6lwGNikxd7bPK1pdB38JXN978UvirhGRSzstnfweeJVYu45R/KgiCf9cZtgGLWM7u8UjE6dhmVIO63SYUApFIlcC85/AhBIKXyw0dSypDDO7f9uYqEK3tCMlasznInMb5JhU+5VYLkQFN844lvAufztLjtXEn5lzOuipGQ9c8nD3zQVyVJ7FuKKudKzhZ8jcHX2HwKpdizQvwelCXItf75Zni+WViOYiiXP77yik1sfNaEGBXry3I8CzEYRuh5IW+MTwFxv6OSEAG7TPJ3sd98kwq3PLH/haiY0SM0mZFrQvUJ9Y9U3oqN1XQ6LfsdqZY2Vzb4Jh+h+sqZyEXvHXZuDfY73OvkHt/1apAc4RZ7ns+KqJSVKUc58vHBvkeelzuBVbMfSlGGYnIjVMdBW0HF3hOaLISMj4Pin0/mhGTpSSAxXsvhU0hm5MBOUupgU0n5nMtlRsxF4atHzMoshUqBB9gkxjdbUfC5ruWQXMXM5V1ooPO1r1CbV1IOyiXuBMO1Nglxv4vPkj7Mb+GDB9jfJmb1s0muVyPH4uPKE9crYZdXikVf6qRc7HqxtiR/s5Pcc/kqNtEX46dUKukklHKZkOtmVJrkli0VKhFzeSrVccVceHa9XDeaz0KToryFrlVaGOW6vlKVEZ+XUOzbD4OEJn0pEE6xe6U8zwfD8PHJp7jlykkp7S80CfB5j3z9zr7OTnJfjDchuau0zqrogqAc5rhCR96XqgirwZOcMtn888EzlapHyjVyXQxmYT/HtSTYf7O/QSpeJ8ZXpYhrpfEpLD6Fy/4+qYNM6v1KUDHoRarXKMULKEUuuW0sZony/c++ftAk1H5i40qK/pEzLoTKkEKHtkOQ3ZFiVkG5llq1LCKxiaRS1qXYbC6F+KxkoWtylbFYXWJU6iDlc0elKiQhRVeMZ4VCIejuVoqELGX2/+zfQiTVCyjVaxRqa6F6nwTPROxbuZMMoWrIcakyL2n0V3LWKyY4fC4Rn3V6kCTV/RNyA/n+F7om5z6bNy6PXKUk9sOuq5i1cxCQlth7fG4+9zsBaZ6ElPYtd4Jkk1yvkE+GpExIYlSp/uO2IZeXQqGwbxIsBgWIwVViylMuZCIm00IyUy2dE4vFRPuzotEa5QgLn2Im98u1RPlcWqHnivEqxT0Wek6IH6n8FSO5sJJYOWLtXil++erlI6HBXayd2eVW4pliVI1BzJ18hLzLg5KfYhMbn6fCfbdaJId/vncPQsbFiBwqS+hQEx/xWTtcIo1UrstdiYEjF5cSerfY7H/Q3gHf7C3F8i+3rnLe4Q4kITniuq9SLaPDcMO5HgGfV3RQ1p3Q97MtYu6zhLdSYBluedWEI9m/2XVy/z/ocfglHg7bcgakNcRBDJZSLc9i7vNBkVT+pXgofO9Um+Twz31HqhVdTSrWfnJlvNqWMl+5Ukiu4jqoPpHLUzHvljxXDZLigR+45cw3qxYTNinCcBjWJttSEBpEYl4B3/MHSWyPRMh6rKYVI0Z8kweXFzELmX29lLavdF/wDXa+wcmVKz46zAmIj/is43LXFgjJGT/l1sWuR47cl/Kt+Xy+6DOHlmyf/M3tUG5HS3WLKoEpSyW2ohCyQrnKRO7CRTWJLfDFlJeUe+W2qxRYgau4hOoUUtLF6hWDmiqpGPggJFKfkHIT+9ZKkFzIQWgi4xoqYhO/EAnBDeWODaFyKoGLl9IPUhaaS9qEUkniUxTsDq2ExVlpF4WrINguEhtH51rOpSpBKfzIITFFxKcUhL6jHFxOTDHKJSlWDp9SLKbE5cqNFCxYaH2Cay1z5Z8rP5WENioBKQqtARSbLCtpVInBi4cFPQrVq1Kpir5b0vbtcqgYfMFnSZcrPNXsAKFBI6YwShVSoffFrBkp73MnFj7lXa7LWgkLRaxsORMht73kwAfFyi12TY41L6SAiynmUibMchUg8OVJXorcSKm3HHiB29dif1fDeJKjA7h0qLAG1/0h9/ms5kpY7nzWSCWoGN5MnuFzrUrhRUwJSLX2xJQ53z2uFcSu90mCbPj4EbomRVEKTSpyZbNcJcRVcmL1y/U8i/FUTCGzLf9KUaX4l2IUFOtLOV5KMX6DwaCkcoADiNaQaqWw4QwhRcMHI1SSpAqCkMCy+Sz2nez65H4HX/mVHBhixG77SkIT7MFYTllc/th88t1j11+KlcrlXy5JLV8Kz+W0nRxPg+9aNcZiOd4kIT4+hcad2HgsFAoV2ZBUTDewqeqWs9BMxGdZ8hGfqyT2/EGQ2GzMVQjlQjJ89R4ExATsX1Hmw0K5rmsxt1BIFoR4kqvwxNqdLTdc+EMuVFFJkmLBA/IsSTnQiRSSYk3ytWU5BkO5MBqbBzkQkNCzXMV8EDBHxSxnqTOX0P3DVLaESmlwOTNzNUgOz5VoZ77v4xuo7PtSeasESZE3bn1iVmm1LedSqBpyVWn+q8GjmPVarhHE9WgPWh/x8X+glnOlMNdqkNjkUs06ufVKbQe5CrBSAse1jKTCNOW4/aU+L7YWUMzi58pqJeSTz7IspdxSZaYc4raHHLkr9Tu5VA6sIMdDKnWcVNqzP9AFQT5FLOTGPqlKm68DuO493wIUH/E9J8WtZ1t1cjFLKVSOyyY0CA4DI5cCs5RqFYspWj7lyZ0QAOnRSFKhwWqNGT4epfLMHRsHTdy6pUIvco01ruxXZDISunFQSlFIUT8J2HIx4naGHAtBynPFsLJqCb0cRc7mh/0++5qQspYySORYaGLlFHuP/T+3T/kGN1uxcvtCbp+ITWpyvoPP2pdSZjEFJaWf2CS3z6pJ3Dbg6zcpJKdP+Z6V+n42m6X8Cirnw1CKcqyRwyI5lqFUN0pO3eTdUt4vV8DE+OLis+xBINWyL4fGx8crUk4xy5Z7jc8yEyuTTWwZEZIfdtuyr6dSqS8ZBHLqlvJMqYpLqM/5vNDDIHabCxlVQgZGsW8TGvdS9ZdGo/mfMVTtBUE+4gq3kIAeJEnlX4zfUgeHnO+XKvilli+lTj6Fxaeg5dZRCSpm9YvxKSSXQvVwy2X/lvK+2P10Oo1cLofp6Wn4fD4888wzAIBoNAqHwwGdTodCoQCVSgWlUonl5WV0dXV9iT8hz5RLpcg/93qx+uTKhpzn5bY7m99K6J1yy+Ft04NWznwDo1INVA6Vohy4HcxVgpX+TqF6SuW/VBIboGLKjzuASuG/0rIi1G9SnufyxX1OqKxCoYB8Po9UKgWFQgGNRgOGYbCzswOtVguXywVgbwEsn88jmUzCYDAgFovBYrEgHA7DYDAgnU4jFAqhubkZarVaFFYpNnmWIz9ik3WpVIoil0p8CppcL6VuobLl8MT37KHkc+a6aVIGxZNIYhYpn6spZmnLxfLkCg+fuyWlfjkuGt+3cl13tgIpZ0KsFHEnjGLHUsmZRPhc4kKhgGAwiGw2i2QyiWw2i1AohFwuh3A4DLPZjPX1daTTafh8Ppo/mWEYRCIRfPHFF1AqlYhEIjAajaitrUUkEtkXk8521fn6WEwOihGfDErxzIrBL2L1lEN83hGXJy40VQkLuBK6rGqWsxT3R46LUW3rulKWg5gCLnVm5rNK+Mrke09qe2azWajVauTzeZqUhS28qVQKKpUK09PTsNlsMBqNsNvt2NnZQW1tLcXKlEqlqGUvxA/3FIhqkxisUapFz6ZkMonbt2+jra0NarUaDocDZrMZ0WgUNpsNkUgEarUaq6urcLvduH37NqxWK9RqNerq6hAOh6FSqWCz2aBWq6FUKqFSqaBQKGC1WpHP57GwsICBgQGEQiF4vV4MDQ3tCzcrZsUJKSq5xH6Pz1M8CM9YqJ/ExouYLjpoOnBYQ6pQsK9VAw+SQuXOdEIufbnfI1XBiilnPktpdXWVusIKhQL5fB6xWAx6vR7RaBQGgwEmkwmFQgHRaBQ6nQ4qlQq7u7toa2tDLpfDzs4O8vk8HA4H7HY7xsfH0dvbC71eD5vNRvFQMe+BzVO1SW5fyLHu+azkVCqFXC6HhYUFDA0NQa1WY2FhAZlMBlarFR6PB9lsFu3t7QAAi8WCiYkJNDQ0AAAikQgUCgWMRiNCoRCUSiVqa2sRi8XQ0tICtVqNVCqFjY0NNDc3AwDsdjs0Go3od4gZEMVIKiQgVeFVaoxL1TPc66XWVUm9JDixHCbmLMUdOijiun9yeCrm3lVLQLntyGf1se9vb2/DbDYjFosB2EvColAo0NLSgmQyiVQqhYWFBfT19QEADAYDrFYr/aZIJLLvf3Y9DMMgl8shlUpRSy6TyeCpp56CRqNBMpmE0Wj8Ur8XcwOrIRty5U5sAiTfQO6l02nodDrE43Fsb2+joaEBWq0W4XAYk5OTOHPmDJLJJH0umUzC5/OBYRjaPvl8HoVCAdlsFsAe9qzX62EwGBAIBJDNZqFSqdDa2gqVSoV4PA6VSgWXy7UPey72TcXGbLlKqBJjXCoPcvUPl6cnzWoGDsFyluL2c+8dhMtRactNqoVWivDyWYBcWICrmGOxGAKBAEwmE4xGI9Rq9T4Li7019tq1a7h48SLi8ThisRgaGhqQy+WgVCq/hBmLWcKpVApvvfUWzp49izfffBOvvPIKBgcH95XDbgMhaKzS/V8NWeLyvrS0hKmpKZw5cwZ2ux1+vx/T09Po7e2FTqdDOByGQqFANBqF0+lEOp2mfZDNZqHX6xGPx5HL5WA2m7G8vAyDwQCdTge32w29Xo9cLoe5uTkkEgm88MILMJvNFPoQI6kegdR2EitPTt9J8WzErsslMX0jh9dySYh31fe///3/pyI18BCbeeI+sxki18gPt3HY7zwJ1jUf8X0jWyCFcEy+75JryfFd505oDLMXBbC9vQ2NRgO73Y5CoYBkMgm1Wo1YLEYXpwKBAMxmM5qamqhiCIVCKBQK8Hq9iMViCAaDmJqagl6vpwtXiUQCSqUSsVgMRqMRuVwOKpUKGo0Gw8PDSCaT0Gg0+OUvf4nW1lbU1NRIGhhCciGXuO1fCVnK5/MUn2cPrsXFRWg0GjidTkxPT0Or1cLhcCAYDGJ9fR3ZbJb+RKNRuN1uaiHncjmYTCZYrVZqEcdiMbhcLuj1eiiVShiNRuh0OjAMg0wmg56eHrhcLhiNRqRSKbqAqFarq95OfPeF5FpKH0qpu1xLvlidpXhT1dJNhxLnTCsXmVX/N+DNxeCMUvgQwu6Enmf/zV7MY19fWVlBLBaDUqlEb28vVbhqtRq5XA7BYBBmsxkajQZerxeLi4sYHR2FVqtFNBrdZ8Fls1koFAqYzWbodDrkcjnkcjm6aBWPx6FUKtHe3k7xZvIdPp8PP/7xjwEA//RP/wSdTsf7LYQq2b7lyhOBIfjKIvwlk0mMj4+jq6sLfr8fTU1NAPZw4E8++QSNjY2w2WyIxWKor6+n7eP1elEoFFBbW7tvUl9cXITT6URdXR0ymQwAwO/3w2w20/YmkwSZHDs7O5FOp2E0Gkv+Vi5JVaxcL1guxl8JHsWoEhN9JUhIfrh0aMpZCuRRrL5quBWVFiIpE08pbh/7GtnySbBHnU6HdDoNi8UCAHRRyuVyIRQKYW1tDUePHgUALC8vo7a2FiaTiVpwWq2WtglR4PF4HFqtFj6fD62trVRJx2Ix2Gw2MAwDpVKJhYUFtLa2gmEYfPHFF+jp6UFnZydtCwK/kA0UXPiFr/2kLObwTWZC75Uidzs7O3C73V+qj1teLBZDMpmETqeDRqOBRqOBSqXCzs4OrFYrUqkU1Go1tFotVCoVVayEDwIfqVQqBINBOBwOAHt9SHD9SCQChmFgtVqRy+VgMBgQDodhs9mQz+dhMBhkWYBCaxZS3yP/c9uC/Ryf3FZynMnBnMXqPwzs+YlSzlIHnNz6y3F7pZLQ7CuGj0vBnYvxzn0mn89DoVAgnU7D4/Ggvr4eqVQKXq8XqVQK9+7dw5kzZ9DQ0ACTyYSJiQmk02l0dnZCpVJRzFKtViOTyXxJWbCtQY1Gg0AgALfbje3tbbhcLvq8UqlEOp2GWq3eFyNcKBQQCoVoiF0gEMCRI0douYlEgn4XiQphu+JSFKwUj4JNcvBPvjKVSiUSiQT0ej0SiQRMJhO9RzBjj8dDN5IQS7tQKODhw4dQq9U4duyY5L4W45XrJZE450KhsG8L8EERH6TG/rvYpFouCVntYrLwpJCQ11hx5SzWMEL3DnsGKxXWAIQjM4SsinJxU1JuPp+Hx+NBOp2GVqtFIBBAKBTCyMgIDAYD3dQQj8fhcDgQCoXg8/kopqlQKKh1l8vloNFoqOuezWapxbe7uwuTyYRMJoO5uTl0d3fDYrHsi6f1+/2oq6sDsGfhkUgDtutNlJvf70dtbS1V7DqdDhsbGzCbzQAAt9v9pfA70obFJkAhEhuk7GeKtT/fcwzzPxtLNBoN9Ho9jZggCpNhGLpQVzV8sgKQT6nyKTbW+f6uNMmBNP6v5SyTDnsWK8UlYl8Tm2jkWA1iCoddTy6XQzabRT6fp+FtgUAAdXV1UKvViMfjVLkSGCEej8NoNO6DP4jCZC9qkUiKfD6PxcVFamknEglotVpks1mEw2G4XC4EAgHYbLZ9bnQ0GkUwGITBYIBer0cmk6F4NlmsIkTqIhtc8vk8jEYjtcq5bc9VIlJhCyGSozSE6s7lctjY2IDf74fdbofZbIbL5YJCsRd6qFQqYTKZsLu7i7q6OtGcxGRCKwdaYEfdyFU05SomIYXM91y5JAZf8fUVX98dtt4hVHHlzG18ubNXubN1JakY71wehQRPjsUsxS3neyeXyyGTyeCLL75AR0cHNBoNYrEYtFotdbnZYW+RSATt7e3UUo3FYtBoNMhkMlAqldje3obb7YbH40FzczPFLEkZZLAHAgE4HA4UCgU8fvwYQ0NDgrAOgUnI/+wwv5mZGWSzWQwPD1OcVKHYCykjkSSZTAYGg0GSe8432OQaCnz9xDD7d8wplUo8fvwYLpcLwWAQra2t2NragtFohN/vh0ajQXt7O9bX12n+i66uLvr+9vY2amtrRZUze9GxVCJtLxUCIv1D/q70eBSyqvlILhzIfk6oLjF+5Hi01dRTVbWcS8Fsn6QZjMt/Ndy7UoWCzVM6ncbm5ibsdjuAPdw2EAigvr4e9+7dg1arxdGjR5FMJpHJZKDX66mydLvddKGPYfbCsMgP2fygUCgoFJFOpyn+rNfrEYvFKL8E5igUCjQqgGEYTE9Po6amBi6XC0qlkiqi3d1dWCyWfREdBPcm35/L5ahCJ1BBOp2GzWaT1NZSBib7WVIP371cLkd/azQa/PrXv4ZarYZOp0MsFsPXv/513L9/HwMDA5RvEk5YX18PhmHw6NEj9Pb20m8mZbHrFZoU2PfEqJj8SJEz0m5SXP5KUiXLF4JPxCx3OYqfwHIKhWIfPFUOWsDHP5cOLPERF297UhQzH0mx1viI75vYQsB9T45iBkBjZjUaDba2tii8UCgUMDQ0hOHhYQQCAeh0OhgMBqp4ySr+7u4uwuEwFhYWoFDsYc4mkwl6vR4ajYYqklAoBJVKRaGJQqEArVaLWCxG4Qa9Xg+TyQSGYbC5uQlgL2TsZz/72Zc2mbjdbuzu7iKRSEChUFCFz7Yic7kcgL0FLRLJYTAYeNuKb2DIGSjsfiLl/uY3v8HW1ha2trb24eHpdBpNTU14/fXXAQCtra0AgIGBAezu7sJqtdJ2MpvNSKVSmJycxODgIBQKBXZ3dwGAZp4j8sDnFXG/tdg3yoU/+NqIfV3sGSEehOor9jdfXeUqOzE+uW0u1csi8kh+2OsI1aayLWe2WyT1eTGM9qCpmo0sZDXLcd/Y/CWTSczPz6OhoQEMsxc3nM/nYbfbYTQaaWrJeDwOi8VCFQLZVs1W2ETJsieOTCaDbDYLi8WCWCwGg8FAFSWbH4JVEyKWZjQaxczMDM6ePfslK4zwQaAKYh1PTk5ieHiYbpJRKBRobGzE1tYWGhsbeSc0KYpMDikUCiQSCYTDYajVahoyt7Kygn/7t3+DxWJBIpHAv/zLv8DhcCCRSGB3dxdGoxGFQgE+nw+7u7twOBz46KOP8Morr2BlZQX379/Hd7/7XXR0dIjyKwSlVBJmECujEhamHD4qPf7lyoNU751tNbOfk7MuIJf/fXxWAnOWgr8KlfEkUKUVdDF3tZjA8ylvAPB4PCgUCnA6nfD7/Xj06BEGBwfh8XhoRrnOzk7qkqfTaWSzWdTV1dHFO7JBIRqNwmKxIJPJIJlMwul0UiXLDmnjRhyQMjOZDNRqNY38AEDjpOPxOO7fvw+z2Yy2trZ9WCuBVIgi3tnZgdPphEqlopY7w+zFbpN38vk8hTy2trbo5g6p7SeVbty4gcHBQdjtdmp0rK6u0kVKu92O1dVVOJ1OWCwWWkehUMDPf/5zKBQKzM7OoqmpCVarFRcvXqTtUVtbi2AwiK6uLorBk9A84iGwxwyJmBFz1eXAFmKKSKo1LNdy5+NLDpwpF3OWQsXgMG59JM8J+76U3ZdyYI8Dx5zFOlOsMQ4C7+LSQbgowJcHkxDOJ3Tf5/PBaDRiaWkJkUgEWq0Wra2t8Pl80Ov1dNvv+Pg4RkdHqWCZzWaqEFKp1L5TNEgCd0JkoZDg08TaJYuOWq2WLhYyDINwOAyn0wlgD1tuCr0uAAAgAElEQVRWKpVwuVzI5/O0LLaVTr6HhNgBoLkkCCbLdh/JOwsLC3TikZI/QqwPhPp7c3OTbujp6OgAwzDw+/1YXFxEd3c3FAoFnE7nPq8hn89jc3MTW1tbsFgsaG5uplExarUaXq8XgUAAkUgEJ0+exObmJiKRCIaHhxGLxWAymZBOp2Eymei292LeArlWDvFN/lLfqwQkKcVqlVpHuV5TMc+VRBkRWSSwnVC9cnXYoSnnYkpaaBYvteNLUe7VUs5Cs7Rc1y6VSiGdTsNqtcLv91MXGtjDoR8/fozOzk6srKzQo4rIxpGamhq62YQ7IPP5/Jeu5/N5BINBas2Se+TkDqJM2FEFBE4hE0AoFILL5dr3jcQSBLDPcibPKJVKGm5HJhWFQoFr167h+eefp4OEKEZuWkwulSoHb7/9Nl577TWkUimkUin4/X50d3fzbosntLi4iI6ODmSzWUQiEayvr8Pv98NkMmF9fR21tbXI5XJ45513UFtbSz2cpqYmbGxswGg0QqPRYGdnB8PDw3SBtq+vD5FIBDU1NYLwGGkTsSgQQsWsRqnvS7HY5RJ3bPApbz6jhVyXWw/fdT46CGOxYsqZ7+PkuEXV6Nhy6aAsZ0JiypmvjbLZLGKxGHK5HDY3N2G1WqHVajE1NYWRkRFYrVak02kAezmAzWYzcrkc9Ho9gD1lSJLl5HI5+jcAaq0R4hvo0WiUKkMSu6zVaulvoiQI/JDP52k9JKqDrcyVSiUymQxSqRS12kk57JVx4k6STS3E/fd6vWhsbJSkkIoRKVuv14NhGPzwhz/Ea6+9hp2dHTqxEYudYRhEo1FMTExgZ2cHDocD+Xwev/3tb2GxWGjs+blz5/DBBx9gZ2cHXq8Xf/u3f4udnR309/fD6/XiwYMHGBkZQW1tLdRqNVQqFTKZDJaXl2mbra6uoqmpCcvLy9jd3UVTUxOOHTuGbDaLmpoa2qZHjhyB2+3ed55gtYhPIVYDDxdSwkIkVf/wPVspT6AcEuK/rKx0Yh9D7hVz0arVIE+K4hcj4iZxhYN7TalUQq1W02iL/v5+RKNRmmNBp9NhYmICLpcL8XicRlGw8bF8Pk+tM5/Ph9raWuh0Ogp1EEyXxFGzBzmJmyXPpNNpaDQaipmSuGlyX6VSUfzZ6/VSK5qdQ4LkACFtQDahkPvs2Oh8Po+5uTkAgNFopJtVKtHHRNk2NzfTiUmhUECv16O5uRkulwvZbBZzc3O4fPky3Q2p1+uRTCbR1dWFc+fO4Qc/+AFeeOEFrK6uIpfLYWRkBH/6p3+Kuro6RKNRnD59Grdu3cLS0hJ6enowOTmJeDyOQqGA4eFhaLVa2Gw2mEwmfPzxx+jv74fL5UIymcS3vvUtvPXWW1hZWcGdO3dw4cIFmM1m/PGPf8T9+/fR3t6OnZ0dzMzM4N69e0in0zTpvlSDKJ/PY3l5GU6nk/dUGimWajlQUyXLK4cHuRNDNamqKUPZxFVE7OvAk9UoB0lsHFaMlEolHjx4QJMUMQwDjUaDbDYLh8OB1tZWRKNRmEwmGAwGBINB+oxOp6Pbsu12O93BRpQR+4gpgjezseHd3V2apJ9hGBgMBrqwRxSpRqOhOwMZhkEikUAikUB9fT0ikQgePXrEa+2SSYOEKnHbhLjtNTU1dOeg0WiUZSEKyRTDMAgGgxgYGKBeRVNTE8bGxqjVu729DavVCr1eT/Hny5cvw2KxoKamBh999BHGxsZw/vx5nDx5Eu3t7RgcHMTOzg5MJhMikQhVwr29vWhtbcX9+/fx/PPP47nnnsPMzAx6e3tRKBRgt9uRz+fx+uuv04RG5DuNRiOeeeYZZLNZ+P1+6HQ6vPrqq9DpdLh69So8Hg/C4TCmp6exsbEBhmHgdrvx4MEDNDc3g2H2h64RmIr0YTabxcbGBi5duoTu7m4aPslHXJmVKsPFiG2ciOkCKTqC734xY/IgjEY5dCCbUA4Tz5FCBw1rsInP3RLCphmGwdraGgqFAlpbW+H3+5HP51FXV0dzKcfjcdhsNiQSCaqQibIl8AYfsQ8SFWoPrvIkFhbhk1jHBJ4gMAfZaQhg32IKccWJW69Q/M9xWclkkiZz0ul0dHcjwzBwOBxly1Q+n8evfvUr1NfX48UXX4RCocDKygqMRiMcDgeNTGEYBoFAANPT07h69Sp8Ph++8pWv4LnnnkMgEMBPfvITDA8P4+LFi5ifn4fT6aT5sAOBAADsS6S/ubmJ0dFR3Lx5E1qtFt3d3UgmkzRz36VLl/Dnf/7nuHz5MkZGRuDxeGiWP2KVDwwM4PPPP8f29jYuXLgApVKJN954A11dXQgGg9Dr9XSb/auvvoq6ujq0tLRge3sbTU1NlI/a2lqkUim89957eOmll2C1WvHb3/6W5lR55ZVX0NHRsU/5stuX75rU9heCE6QukgutZ8mpV+haMf4rbUhWBdYoRtzZlcvQ/98s5XLdNwJBeL1eNDQ0QKFQwOv1AthbIDMajXTXHVGK8Xic4sRsBUgUJoElSF8kk8l9GDR5nmCz7EVCksODjUkvLS1R5ZbP5/Hw4UM0NDQgGo0iFArBZDIhEAjAaDTSMwtJCB9763ahUIBer6dJ59nZ7cgOSb6BK6VNGYbB+Pg4IpEIXn75ZVoHOfeQ5ArZ3d3F1NQUfD4fgsEg7t27R3Hiu3fvYm1tDd/5zndQV1eHdDqNhw8fYnR0FOl0GgqFAj6fD729vbBYLPTsv9bWVgQCASSTSRQKBaysrODYsWNYX1+nx0wVCgV0dnYiHA6jt7cXyWQSCoWCHq5LzhrM5XIIBAJU2Q4NDWFkZATnzp3DwMAAGhoaYLVasbW1hbW1NTgcDmxsbOD69esIBoMIh8O4d+8eampq8PDhQwQCAZw7d46eHxmLxRAKhXDz5k1sb2+jra1NlqzKfU5soY4PJj0sSFQIsq008SrnSq/C8s145B75LbQyWykqp7yDnkDE6lKr1TTRPckR7HA4eHP4EmstlUpRmIHkrCDtrVar9w0KonwZhqFKmoS9kYVEAmmQrdt6vR6RSAQAYLPZKDySSCTogCYLWOwseGQRjqS/3Nrags/nQ01NDYVHSN0ajQZarRarq6t0YhJqt2JWNcMweO+99/Daa6/RMEOSU4S9hfxHP/oRLl68iMbGRrS2tuLq1avI5XI4fvw41Go1zp8/D7PZTBWmXq+H0+mkcdFmsxlarZZuAHI6nZiZmaGhhiaTCUNDQ9je3kZnZyf93lQqRXH8XC6H+vp6vPXWW3j99deRzWZRX1+Pra0tRKNR5PN5/Mmf/AkYhsH6+jqOHz+OS5cuweVyoa2tDVevXoXFYkFraysSiQSuXbuGI0eOoFAooKGhAT6fD319faivr4der8fU1BQAoK+vDyaTCWazGadPn0Y+n8fq6irq6+uLwgNS5Fio/4T6kE93lOPxyuWtWiR26jyvcq6kYuZb7OKriw/HqiSVU165vMi1mIspZ4ZhKF7Y2NgoGvdLsFSiRNjXiTIgG0tI9jlSHkmoTwaFQrG3cLe8vAyVSkUjM9jKk211sxcjycIlwTJnZ2fx6NEjtLW10ax4ZrOZngZCdiuS7eRKpZKeoSeWEIkLEwnJVGNjIxKJBCwWyz74hVAqlcLU1BSam5vh9/uxubkJj8cDhmFw4sQJNDU1we124969exTDd7vdtI2SySRNH8qO33Y4HHThz2azwWq1wu1245NPPkFTUxNSqRSy2SzGxsagVCrR2dkJtVqNvr4+JBIJpNNp7OzsoL6+HoODg+jp6aE8k3WH1dVVOBwOOonPzs5iZWUFvb29CIfDOHr0KAKBABobG+F2uzEzMwO3203bNhqN4vPPP4fL5cLq6irGxsZgNBrR3d2NTz75BJ2dnV/C/OVivKWQWN9Wuo4ngcqGNaS4IuzrfJbzYdJh4s1cYnsZYkRyL9fU1Ig+R+AGlUqFQCBAlSlRxERBE9wXAI175oMKSEJ8kj1uZ2eHbhsnCmhxcZFaySRMjJwnSCI81tfXMTk5iZdffhkAsLCwgLW1Nfh8PiwuLqK+vh4mkwler5duTSfuu8fjgd/vp/lCiAxls1lqAUtZLDQajbh+/Tr6+/vpzkRCDMPgJz/5CUKhEK5du0Yte2I5Pvfcc3A4HFAqlejq6qJ5QsgPG0tnR6jE43F6zh8A6HQ66PV6hMNhmkyqrq4OWq0Wvb291AInETgej4fCHd3d3bDZbMjlcvjd736HgYEBNDc3Y25uDs8++ywUir0F3t/+9rcUZvrVr36F0dFR1NbW4u7du2hra0Mmk0EkEkF9fT3UajUSiQRaWloodGS322G327G7u4t3330X3/3udzExMQGLxSKaQa8aHnAlyuHz2ss1DKvlWZeknPk+iH2P+5sLbXCfJXTY8YaHTVIUcz6fpyePCK2mA3vKih1rnM1mEQgEYLVaqbWs0Wj24bmECO5MFgkXFhYwPT0Nh8OB7e1tzM3NUSw6lUphfX0dU1NTsFqtGB8fR09PDy5fvoyhoSGa1+PevXu4du0aPvjgAywtLeH8+fPY3d3F1atXMTo6iqamJhiNRrS3tyMajeKjjz6CxWKh1mptbS22trbwzjvvoKGhAbdv34ZOp4PRaEQ4HMbDhw/xxRdfUKV59+5d6lVw25j89vl8aG9vp/+nUilsbm5SC5LEHX/lK1/BO++8A4fDgdOnT0On09HcH4TC4TCNLQ8Gg8hmszSLYCQSwfb2Nj1Oymw207Ssv/71r9Hb2wuHw0GjQxQKBc3fsb29jStXrkCj0aC/vx9XrlzBiRMn8OjRI+TzedhsNpw5cwYPHz5ES0sLbt26hfb2dkxPT2NwcBB6vR46nY5CGzs7O9Dr9UilUlhdXYVarUZ3dzc8Hg891VutVsNgMNB4eZPJBKVSCYfDgX/4h3/AX/3VXyEYDFIFLkWupZIcb1JOueFweF8UkpBX/6QoZqAE5cxVHkKWs1gspNCKbCmNU216khYsV1dXafJ27g450t4Ms7flmCQwCgaDiMfjNHMaO4qCWFfEit7e3obJZEI4HIbf70ehUKCLWVevXsXQ0BA8Hg9GRkbgdrthtVpx+/Zt/OEPf8D3vvc9OBwONDQ0YGpqCtlsFteuXcNPfvITKBQKWCwWMAyDxcVFnDx5EpcvX4bP56Onft+9exfz8/N45513MDg4CJ/PB7/fj6NHj0Kv12N2dhYWiwUqlQpPP/00tWR7enqwuLiIkZERjI+PY3p6GiaTCSMjI5ifn9937h+bcrkcbt68iSNHjgDYm8yCwSA9RMBsNiOZTOKFF17A9evX4XK58NRTTyGbzdIt3CTH882bN9HR0QG73U7PaJyensbS0hJu3bqFTCaDxcVF5HI5Gqe9s7ODZDJJt+MbDAaoVCq0tLQgGo3SGHCLxYLjx49jfHycJoqy2+001O6HP/whRkdHMT8/j2QyiaeeegpWqxXXrl2j0NTm5iYaGhowNDSEmpoaeL1eeDwejI6O4o9//CM++eQT6sUkk0l6+AHD7B0hRs5AXFlZQSKRwPvvv4/m5uaiC4Ts8VwNC1pOeSTtLdfa59M5bKVdjO9q6gbZyrkS2K3QR0tpDC5VW3kepGLmq4uEnEUiEbqQR3IHE6uQXCOWrNlspikvGYahmxKy2Szi8Tg9RZu0HRmMfr8fKpUK0WgUtbW12NzcxMLCAtLpNBYWFlBbWwubzYZMJoOFhQX86le/gs1mw8jICG7duoWJiQlcvXoVDQ0NGB4eRjabhU6nQzAYhNfrxenTp9Ha2krP4NPpdOjr68PCwgLu3buHRCKBvr4+dHR0IJ/P48GDB6ipqaF5Oj744AM8/fTTiEQidAFteXkZy8vLiEQi0Ol0OHr0KNLpNOrr6/GHP/wBIyMjX2rXfD6PS5cugWEYHD16FAqFgkbAEC9jc3MTx48fh8FgwPT0NB4+fIiuri709/dTr8LlcsFkMmFwcJBi1x9//DFWVlboxpXt7W16UMHS0hIWFxfR1taGu3fv0kmkubkZt2/fxtGjR3Hr1i0olUrs7OzAZrNhdnYWH3/8MTo6OtDZ2YmOjg5Eo1EkEglMTEzg5MmTmJ6epjHt9+7dg8FgwNzcHOLxOOLxOFwuFyKRCDweDyYnJzE+Po7u7m56aC0Jx1xcXKRpXdfX19Hc3IxoNAq1Wg2LxQKn04mzZ88iHo9jdXUV8Xgc3d3dvHLMVcpPgoHDzh8OYB+UxefRHyTffHBcybBGsftCipdbBhciYb8npngPAwLh8lkJd60YEUuXWMvEmspkMnS3X6FQoKczEwUdj8extbWFuro6ai0QbHVra4vm5ggEAtjc3KQK+T//8z/R1taGtbU1XL16FQ6HA2q1Gg8fPsT09DTNYfz555+DYfYSBOn1enR0dMBqteK5556D0WhEMBjE8PAwRkZGMDw8jKamJmQyGZpA6OTJk3C5XIhGowCArq4uLCwswG6348iRI7hx4wYCgQDefvttxONxnD17Fi0tLbDZbFhdXcVHH32E559/Hg0NDQiHw/B6vZiZmcHXvvY11NTU0Emnra3tS7IyOzsLu91O45tJOxCPYnNzEy0tLTQ+eWZmBl6vF3V1dejt7aX4MNnUQ8ogJ9S8//77ePrpp+npLmfOnIFKpcLo6CiOHz8Ou92O5eVl9Pb2QqlU4urVq4jFYmhvb0cqlUI0GqVwTnd3N86ePYtoNIof/ehHCIVCsNlsuH37Ng2Ra2trw69//WucPHkSOzs7OHXqFIWR7HY7UqkUrl27BpVKha9//euwWq3UCwsEAmhpacH4+DiOHTuGQqGA//N//g9effVVqNVqLC4uoqGhAfl8HlNTU+ju7obL5cJvfvMbjI6Owm6378u7XYrslzo2SnmPT9/w6RypeqgUEkMO2HSgcc5iWHWx9/nuPQmzcTWJxCGHQiGk02mkUimaqD6dTsNgMMBoNNI8zeQU61AoRNNWkqOgSEhaOBxGIBCAxWLBwsICjdHVaDR47733sL6+jkePHqGpqQnt7e0wm81IJBLo7OzEiy++iKmpKZjNZrjdbjQ0NNDFwKamJnrmoMlkovHV7CT9CoUCVqsVZrMZk5OTqKurg8FgQH9/Pz766CPU1dUhHo/jF7/4BQYHBynO6vF44PF44HQ6oVDsJVYibdPU1ITW1lb09fXh/PnzyOfzNHsfgH3Kk/wmBxaQQ2UJXwsLC5icnMTPfvYzqNVqzMzM4MqVK0gmk2hubsbXvvY1bG9vQ6vVQqPRwGAwIBKJQKHYS326traGW7duUXffYrHg4sWLCAQCGBoaQjabxX//93/D7XZjbW0NJpMJjx8/RiAQgNPpRCAQQC6XQ3NzM8xmM4LBIPL5PD788EPU1dVhdHQU09PTCAQCaG5uht1ux8DAAD777DP84z/+I1XsZLef2+1GV1cXXn75Zdy5cwdHjx7FJ598Qq34hoYGpNNpbGxs4NVXX0U2m8Xa2hqWl5fx8OFD1NbWwuFwIJvNIpvNoqurC16vlx7U29jYCL/fT/NVS1XClVJ25eoRPjhDitIslX/2pi0pPBZVznwWMPtHCFvm24XDvicEYRSzlg9aIVezTrGy4/E4YrEYdnd3odPp4Ha76a41oqjj8Tiy2Sw9jSOfzyMUCsHhcNCFPr/fT7FOEu/s9XoRjUape/vgwQO8+eabOH78OI4cOYLm5mYcP36cbmLx+/1ob29HMpmEVqvF8ePHMTk5ifb2dgwNDcFut8Pj8aCtrY3CJjabDR6PByqVChaLZd8hACqVih5Gm0ql4PP5MDw8jBMnTuCzzz7D17/+dbzwwgvo7e1FKBTC6dOn0d3djb//+7/HV7/6VTQ1NdF81mq1Gg0NDbRt5ubm0NjYiEKhgGQyiampKXp6CWlrdjQJkdOxsTHcuXOHLtb19PRgenqaZpcjcMu7776LEydO0I0mBJv+j//4DwphfPvb30Y6nUZzczMymQxmZmZQKBRoRATDMJidncXW1hbm5uYQjUZx7tw5Ck+QMu12O6xWK+7fv48LFy7g4cOHqKurg9frRUtLC8bGxnD69GmcOHECwWAQwN4JLTs7O3C5XNDr9RgfH8e//uu/4qmnnsLf/d3f4e7du7hy5QqeffZZ3LhxA6+99hoWFxfx8ccf05PTv/e972FsbAwffvghxarJQqHJZMLs7Cz6+/vR3NwMnU5H21sqNlsKfMl+txTMWSpffH+LvVNqXVKo4pYzV3kLQRzs39x7Qh13GJbyYeHZCoUCm5ubaGpq2hcfzDAMIpEIzd9MzraLRqM0qTuJ4nj8+DFaWlqQzWaxuroKjUaDjY0NCktsb28jm83i0aNHGBgYwOnTp1FXV4dbt25heXmZYrc6nY5GU5Dtv6urq+jv76dQis1mo8rWYrEglUrRRRiHw0FD9tgJ9clGFLVaDafTCYPBgJMnTyISiaC2tpbGC6+uriKRSGBtbQ0XLlzAzMwMampqYLFYoNVqEY1G4XQ6kUql0NLSQlOsplIpWK1WanGzaW5ujsYlh0Ih+P1+nD17Fna7HT09PXC5XHj66afR1taGzz//HMePH0djYyNGRkboREBCE9fX1+nZjkNDQ6ivr6d9NTU1BZVKhfr6eqyuruKLL77A9PQ0ent7aVx3Y2Mj5ufnsbS0BJvNhlAohO3tbUxOTiIUCuHtt99GTU0NwuEwFAoF9VrsdjtaW1tx/fp1GtpGsHISitjV1YXW1lbE43E0NTXB6XTi2LFjFLp58OABTCYT8vk8VfoffvghvvnNb9LDf00mE80eSDyOTCaDWCyGhoYGxGKxfYcuSJH3cseVmGFYrD4pHnw1jDIS+sm2zsWo6omP5GA3pS4eHLRly40BroSgccsHQN1cu92OmZkZ1NXVURjBaDRCp9PRqAuDwUBTX2YyGYTDYWxvb+Py5cuor6+nWdxCoRANjTt58iTddefxePDTn/4UDx48wO7uLo4dOwatVouenh56kgqBO27fvo2LFy9CoVAgmUzCZDLR8DObzQaG2Us0TyIbyKKmVquFWq1GKBRCNBpFNBqlW4XJDjcCwVy9ehXz8/P47LPPoFAo8PjxY5jNZszOzuKll15CTU0NPvjgA8TjcbT/f6FjJOIimUwil8uhra0Nb775JkZGRr7UzpcuXcKJEyfwgx/8ACdOnEBPTw/1Uj7++GO43W7E43E0NjYimUzi7NmzWFhYoIqe5GDO5XJ44403sLm5ib/4i79ATU0NVlZWMDs7C5PJhMbGRmxvb2NwcBA///nPodVqMTQ0BJ/PR6GfpqYmbG1t4aWXXsKDBw8wPT0NtVoNvV6P3t5e6rk899xz8Hq92NjYgM1mw7lz52C32+F0OtHX14fW1lZ8+umnaGpqQjKZxJUrV3Dx4kWMjo7i888/h8fjobDHzs4OAoEAAoEALl68iObmZthsNoyNjaG3t5cesfXmm29icHCQnnqTTqeh1+tht9uRTqcpPNbU1PSlsEWujAvBBqWOE3LoQ6lUjJdK6xXu2ZrFqCrKmQ/2YP8v1FEHYRnLqUPoWfbGgmrxHAqFKF5LLFaFQkFTVpJMbuzdgTqdjiplEofa1dVFd6l5vV4kEgnU1NSgubkZKysrmJqaouFkXV1dqK+vxze+8Q3U1tZiamqKWs/hcBg9PT34r//6L7z++utQKPbCtEg+CgD7Qq6sVisikQiNItnd3aWTCNmCbrFY9p16QjZLkI0wLpcLFy5cwNLSEo3RBoAHDx7g+vXreOaZZ9Dd3Q2z2Qyfz4f5+XmYzWZ4PB6sra2hr68PTqcTkUgENpttn8c2MjKC7e1t6HQ69PT0IJPJIJFIYHt7G2azGX19fbDZbPD5fIhGo3T3HplEnE4ngsEgdnd39+0cJDCIwWDA1tYWZmdn6UniDMOgubmZrsxrNBq0tLTA5/NRq9ZkMkGhUGBoaAjt7e1YWVnBX//1X4NhGNy+fRvd3d00DrmlpQWff/45enp6EA6HEYlEcOrUKXq24UsvvYSxsTGEw2HU1tbi6NGjWFlZwYULFwDs5f7u7+/HL3/5SySTSbS3t0OtVtNNPuFwGG1tbVheXkYoFKK7Ocl5jwaDATs7O8jn8zS7XjGqJCRRqdzVXCu8kjyWQ1WznIUsS74PP+xGAEp3Y8rhnds+bB6SySSNOSVZzpaXl2E2m+mmAPa5fAzDUKwxn88jkUhQiIOEbdntdrz11lvUHSZlX7lyBfX19dQNbmtroxEQg4ODUKlUaGhogF6vx6lTp8AwDA0PIxPE/Pw81Go11Go13njjDaysrNDY6lAoRBcpCa8k4RI5HIDsrGMYBlqtFjU1NXRLcXNzMy5evIi5uTnMz88jFApBrVbj1KlTiMViMJvN2N7exvHjx/Hhhx/ilVdewYkTJ8AwDFwuF3w+H958800cO3Zs35FZZHu20+nElStXsLS0hFgshuHhYSq///7v/47z58/TrdZWqxUulwvAXp7rS5cuYX19Hd/4xjcQDAaxs7ODra0tAHsTLEkXura2hpaWFrhcLmQyGVitVpw/fx7Xr19HS0sLYrEYNBoNPv74Y0SjUej1eiwuLlKeTCYTnnnmGQQCAQwPD6O2thaRSAS3b9/GkSNH4PF4kMlksL29jZ///Ofo6OhAOp1Gf38/Ojo60NrainfeeQcAsLGxgampKSiVSpw/fx7f+c53YDabMTExgSNHjuDy5cuwWq148cUXYbPZsLKygrfeegupVAo9PT2wWCwIh8NIJpMYHx+HTqdDPp9HV1eX5BNZuPIu5flySWj9TOgeH1UK7pCyM/lA8zmz6Una3AEcHp4tNnElEgmaZ4JsOiAWIDvGmWEY7O7uwmazwev1IpPJYGVlBRMTE3j48CEGBgYQCoXw/vvv41vf+hbdKGG32zE/P4/W1lb09PTQ45jIdu+uri7qIpMIj3g8TnecJRIJ5HI5zM/P08Twc3Nz2NjYoDvRCoUCFhcXsb6+jvcgVa8AACAASURBVGg0CrfbTXNakIU5djpRgqmTgwFIEiCNRkOP4QoGg/jLv/xLuFwu2Gw2TE1N4cc//jE0Gg1NwWk0GmEymQAABoMBo6Oj+PTTT2k6VZIoqqmpCaFQCDdu3IDNZsOzzz6LUCiETCaDW7duIRAI4MyZMzCbzYhEInRiMBgMCIVC+MMf/oDW1lb09vbCYDBgYmKC5igh2OyxY8fo8VSxWAxLS0tQq9W4ffs2XSj1+XzY2NgAAPzZn/0ZFhYWkEqlcOLECeh0OhgMBrz11ls4fvw49Ho9rl+/jo6ODrrIyjB7GQXdbjc0Gg3dCUrWARKJBCKRCI4dO4Z4PI6BgQEMDAzg0aNHSKfTWFlZwYMHDzA4OEjTmup0Orpo+PHHH2NgYABWqxUWiwUWiwUmkwn19fWwWCy4c+cO7t69izNnzkgeSwc55orBkEJrZMV2NcshsUAIQux45wNPGSoEYRxWJMaTSASzValU1J0kkRIEFuAKUCQSwePHj5HNZtHW1kYVRjQaRU1NDR2cZ8+epZsP0uk0pqam8Prrr6Ouro7u2stkMujv74fJZKLHMblcLjx+/JhGSty4cQP37t3D0NAQUqkU5ubm6M635557DgzDYGNjA+FwGJlMBgDwxhtvUHza6XTSswjT6TRNaalSqaDX6zEzMwOj0UgX1/L5PPr7+zE5OYloNIquri60tLRQaODVV1/F7du38frrr8Nms+Hy5cs4cuQIDTlUKBRobW2lOyt1Oh12d3fpwaxerxdra2t4//338fDhQ0xMTOCLL77A97//fZhMJortkzA8Eq52/fp1mhPD5/Ph+PHjaG9vp2c+6nQ65HI5PH78GOFwGK2trVhYWEA+n8ezzz4LADTOmCwSKpVKDA0NwWw2Y319HZ2dnXA4HNDpdLT9yMRElLLZbEZjYyONMV9fX8epU6eQTqfp7k632w2Xy0Xhl56eHnrIweLiIl3M1el01FsiOzO7urowPj6Oo0eP0q3nxDNaW1vD3bt38Td/8zf7shXyERfyLAV3lrKgJ6Ucvt+AeBhdOSSlTLbncWALgny4Dt/e9v9Le6RQKLC0tERPZQ6HwwiHw1SBkfZjGAZerxcajQY+nw8tLS3IZDIYGxvbl5cXAOrr6+mAbmlpoTvDJiYmoNPp0NLSgpMnT8Lj8dBkOGRyUCqVmJycpKv1DMPg7NmzmJmZoSF7AwMDyGazaGhooPHLDocDqVQK7e3t+zBov99PIz3MZjOcTidNJRqNRmE0GlFbW4tkMkmfC4VCdFFzZ2cH29vbSCQSGBsbw+effw6LxYK3334bL7/8Mm7fvo3Tp0/vO8ae7KokWdsmJydx+vRpTE9Po62tDefPn8e5c+fw7LPP4ty5c7DZbDCbzTR5vVarRTqdxp07d+D1eqFSqXDlyhV897vfRWtrKyKRCD2JJJvNYmFhgS7ELi0t4dlnn0U4HKaHwQJAMBiETqfDxsYGVYh1dXWYnZ3FxsYGNBoNLly4gFwuh+7ubtTU1MBsNmN+fp4mQzp9+jQCgQB2dnZoPx85cgSpVArAXvpPslWeJJ8iOxhra2sxPj6OM2fOYGRkBLu7u9Dr9XC73Xj33Xdx5swZbGxsoK2tDV6vFxaLBUajESqVCpubmzQ5U0dHB7RaLY204SOx8NrDJO5aGPv6YdI+5VwN65U7S3JxnmIzKPfekwaHiJEcXrmzNcMwMBqN8Pl8AICdnR00NjbSRTFCsVgM9+7dAwBsb2/D6/ViYmICGxsbGB4extjYGD0UdGtrC62trairq8OjR48wMzMDs9mMjY0N1NbW0rMDz507h+bmZgo9TE5OUgvrxo0bdFvv5uYmOjs7YTAY0N7ejpmZGZhMJiwsLEChUGBhYQHd3d1obW2FzWbD0aNH4fV6sbS0hJ2dHaTTaVy+fBl9fX009zFJWWq1WuHz+aglvbOzA7PZDIVCAY/Hg29/+9tobW1FW1sbPB4PXn75ZTQ3N+P555/Hb37zG3zzm98UPGdQoVBQC9NiscBms+GNN95AR0cHTaQEAPfv38fAwAAKhQIMBgOFQwj+/sc//pEeHxUMBqHRaNDe3k5hpU8//RTt7e04d+4c2tra8ODBA5jNZly7dg0NDQ04deoUFAoFHj16hJMnT9Jolbq6Oqyvr6O3txeNjY1QKBTUgyGegNvtpnHQarUakUiE5twgseQkORPD7B0tNj8/j87OTnqAANl9euTIERpxceXKFWxsbMBgMGBtbQ2vvPIK3UX69NNP4/e//z3i8fg+qCYQCGBpaQk3b96ERqNBb28v75gVwnWfhBQMXC//SdAx+5RzNRjiWshCOTXE3pf67JNGcnjlto1CsRemtru7i7q6OphMJtTW1u4THJLu0eFw4N1338X58+dRU1ODjo4OdHR0YHt7mx7k2tXVRdOGklV4orTPnj2LxsZGNDY20njjsbExrK2tob6+Hk6nEy6XC0ajkSoRp9OJfD4Pj8eDmZkZNDc301M1SMKkpaUl1NTU4O7du3SnWSaTwblz5+D3+zExMQGr1YrTp0/T6BOdTodUKoVIJEJhAQB0U8b6+joikci+47fu37+PBw8e4MiRI8hkMhQPtVgsXzII/H4/zGYz4vE46uvrkc1m4fV6cefOHVy5cgV37tyhSrKpqYlmdSMYskKhQDqdRjQaxfz8PHK5HLq6upBKpRAKhZDNZrG9vU1jm1944QVMTk7SnYMWiwUDAwNobW2F3W7H7OwsGIZBf38/YrEYIpEIPfF7aWkJGo0Gly5dwtNPP00x6UKhgN3dXXz00Udoa2vD2NgYTpw4gVAoBKvVilQqhXfffZfCYzdu3MDAwABOnTqFfD6P27dvQ6lU4plnnkEmk8GVK1foobXxeBwnTpxAJBKB3+9HX18fTZzl8/lgMBgQjUZx4sQJZDIZ6PV6WCwW1NXV0dSn3IVBoXFQTY9ZqkIWgzfklldpOpAFwVIsZKn0v8mSLkZsS8Ln8yGRSNDDRUkmNBLpkEwmMTExAZPJhOvXr2N0dJTulBsfH0dTUxNqamqgVCppnt/+/n6aZe7Ro0cYHBykB7j6fD6aYlOpVFJl/fDhQ2xsbCCTyeD3v/89PB4Pzp07h0gkgkAggJs3b8JsNuPx48c4cuQI5ubmsLq6ira2Nhw7dgz37t3DysoKlpaWkEgk4Pf70d/fj8HBQczMzODx48f0+CayPR3Y23ZNFrQYhoHVaqX5pBWKvZNVfv/732NwcBAffvgh0uk0Lly4gGQyiYaGBoRCIVgsln2wBomDViqVsNls2NzchM/nQzabxa1bt2g8NEli5HK5aDKkx48f0xO61Wo1crkcLl++jM7OTrS3t2Nrawvr6+tYWVnB2NgYvvnNb8LtdiOVSmFsbAwDAwN45ZVX8Itf/AJqtRq1tbVYW1tDTU0NLl26hGPHjqGnp4eeKnPs2DGq7MjmGLJoqdVq4fF48OKLL9LTSgqFAsxmM93YQ3J9d3d3Y2hoCNPT01AqlZiamqJhiVarFSsrK+jo6IDT6URvby9mZ2fR29sLtVqNyclJLC8vIxwOY3NzE1qtFidPnsTu7i5OnDgBjUaDcDiMnZ0dKJVKLC8v49y5c/jpT3+K0dFR2Rar3HFSKvEpZKHdypWor1QqSzlLXVArBrqz70ndqMJ9T+j+/zZiGIbmOIjFYqirq6O7swgR95qcoPHMM88gHo/j0qVLsNvt1JomeSxILgin00k3MMTjcVitVmQyGTgcDtTX19NwPEKZTAa7u7s4f/48otEoLly4QDeOzMzMwOFwQKvV0tC+tbU1PH78GBaLBdFoFPfu3UMul0MsFsNXv/pVJBIJ9PT0IBaLoampiaaj9Pv9cLvd6OvroyeFA3unkZDzBcn5g1qtFltbW7h58yba2towOztL4YRIJILW1lYEg0F88sknOHXqFI1qSSQS9PSPubk51NXVwePxIJ1OIxgMYm1tDefPn6eWdTQaxenTpwEAXq8XAwMD+6JJ/vmf/xnHjh2D2WxGe3s73QFJDgh4/Pgxjh49ik8//ZRGt3z44Ydwu93w+Xx0gXJ7exv19fWYmppCNBqlVnM8HqcKdmBggHoTxBouFAq4efMmnE4nPvvsM+zu7uJHP/oRnn76aWxtbSEUCtHFU6vVSjctRSIRvP3223A6nbhx4waWl5fxrW99C5FIhJ7UMj4+jpaWFjDM3gnezzzzDJRKJc2dAgAPHz5ER0cHzGYzPcChu7sbRqMRQ0NDdHt8MSp1rFZ6oU4IhqmGLuHLQMentyoTxS1AQlEZ5J7QO8XKLOX+kxqZwUd37tyB0WhEQ0MDLBYLcrkc/H4/4vE4Njc3kUqlsLKyQlNoZjIZBINBfPOb38StW7ewsLCAmpoaeshqIpGA2+2mxx4RXJfADCRPBHmPHKyq1Wpx4sQJxGIxDAwM0PzK7733Hmpra1FbW4umpiY0Njbi+PHjKBQKCAaDdFFod3eX7nb73e9+B6PRCIbZO1x1Y2MDdrsd9fX1iMViuH//PlZXV+mRWQzDQK/X0+3ddrudxkB3dXXh+eefRzgchl6vR0NDA1paWrC+vo6dnR1MTEzg3LlzAP6n39fX1ykGTWCbYDCIpqYmuFwuWCwWinMTHDmfz2NycpKG5AF78mWxWKDRaJBKpTAyMkLD7BobG7G0tASz2YynnnoKi4uLUKvVGBgYwN27d2mGvpdffhmvvPIKMpkMPB4Pzp49i4sXLyKTyaC9vZ1+68rKCqLRKNbW1uiZhWRRuK+v7/+l7kuD2zyvqw8WYiV2gARAgDsFruJOLZQsS7YkW5KXSWNPXKeZOO1Mk+lMt/RP+6Pt9E+m00k7ma5J08bOIm+JXVm2Y8nWSkqiuO/7ChIgiB0EQOzA94Pfc0Mz3CRRTvLMeEyRL973xQs897nPueeeg5deegkKhQKHDh3C0tISSktLweVyIRAIoFKpcPbsWTz55JPg8/lIpVLkvfjnf/7n6OjoQE1NDSorK2mxk8lkWFlZQUtLC0m7TkxMUKHWZDJBIBBgenoaR44cQXZ2Nng8HpRKJTFqrl+/DrfbjdnZ2c89/4cdDzqfd4orG/+20Ul+8/k2FwZ3G6wwv9ex1+aZh86cd3sDW7ExNv+8l7FfmfDvSjbt9/sJY47H4yQTGgqFKFAnEgkMDQ3hiSeeAJ/PRzwex8DAAG2jLRYL3G43+vr6CC9Op9MIBoPgcDhk1snkQBOJBAVsZnTKmlyYYlosFkMqlUJnZyeKi4uxtLSE3t5e8Hg8aDQa9PX1obu7G/n5+aitrYXf78fk5CTOnDkDAIRhsp0Ay9SKioowOjqK+fl56HQ6op6xQOp2uyEUCjE7Owu5XE6Z8JtvvokvfelLaGpqgtlshlwuJ4cUVlTLZNYNBPh8Pi5fvozW1lZwOBwMDg7CYrHAZDKBz+cjHA6Dy+VicHAQ58+fR2dnJwk6GQwGhMNhWqzcbjdcLhfEYjFZZ/F4PEgkEgwODpI7C1Pee+WVVzA+Po6GhgYEAgG0tLTg9u3bJEwlFArR2dmJ6upqxGIxqFQq2ilotVoSkxIKhdRVybLSZDIJn88HsViMI0eO0HPLz88nD8N4PE5dfePj4wiHw4jH47Db7Thw4AAqKytx+fJl5OfnY2FhAUePHgWfz8e9e/eg0+nQ09NDOijl5eWQy+WYm5tDcXExKf6tra1BoVAgkUjgpz/9KWk+s2LmduNBazJ7fc1Wxb3NncpbnfNh49TGcz7ozn+n6z105rzbSrFfLdm/zUF14zN42Axh8zlYZ93Q0BC0Wi3pUDDrqGAwCLfbjbq6OuLsjoyMoKamBouLi/D5fCgtLYVer0dtbS3pNrPGCea1V1hYCIVCAbVajY6ODkSjUerI23hfWq0WyWQSdrsdWq0W5eXlcDgcUKlUKPz/DI3Lly+juLgYp0+fxvHjx7G2toaqqipIJBKEQiHU1NRAIpEQ7BAMBuF0OiGXyyEQCPDMM89Aq9Xi3r17AACpVErtzqw93GKxwO/3U0Cqrq4GsO4OI5VK4ff7oVar8fLLL2N8fJyeIXOLrq2tpUlqNBrR1tYGl8uFsbExXLp0CZ2dnfiDP/gDFBcX44/+6I/Q3d2NdDqNeDwOsViMUChEbc2srf7WrVswGAzIZDJYWFiAzWZDbW0tvd/x8XGMj4+Dy+UiHo/j+PHj+Pjjj9HU1IShoSH09/djdHQURUVFuHHjBlZXV7G4uEgdgxqNBlevXoVarSbVN4PBgIGBASwuLiKZTEKhUFANYXJyEouLi7BarRgeHqbdjU6nQ2FhITgcDmXBJ0+ehMFggNvtxoULFzA+Po5Tp04hHA5TgRIACgsLidHT1dWFQCBABgyRSIRUCAFQ6zqPxyM39v0aD5rJbvx5q07c3XQuHnY+P+rOf+PYt4LgXlgVu7E2ftfGo+wItnsdswLKz8+najizDGJZm9lshlAoBJfLxfz8PLV0X758GRqNBh0dHWhtbSVdCZFIhEwmQ1u5wcFBlJSUEDuANZxcunQJBw8epNewgpRAIKAt7/LyMgwGA4aGhuB0OqFQKFBeXo6enh4olUrcvn0bPT09KC4uRjKZhNvthtlspiaan/zkJ0SBu3v3LpLJJGGqIyMjGB8fR1VVFaRSKUQiEYBfbQMDgQAuX76M+vp65Ofnw2az4cCBA8QD//jjjymLvHbtGjVyiMViKg6ytnEWwGdmZvDUU08BAGXbXq8XlZWVSKVSZFjAslbWWp1MJlFfX0/iTqzQyDDjtbU1AIDJZMLCwgJMJhNu3LiBaDSKyspKhMNhog5arVacOnUKCoUCQqEQCoUCS0tLKCkpgVKpxNraGtmHAaDOS+YKzqhzmUwGdXV10Gg0sFgsSCaTmJ6exgcffAC73Y6qqioqzjLXb5fLhYmJCeImRyIRzM/PY3V1FbOzszh+/Dhyc3MxPDwMrVYLvV6PSCRC7dpZWVlkgMsohFarFXl5eVCpVPQZ7vb93894sN283I0tth/zeT/HF6pKtzmT/m14AI9jPArzZHJyEtXV1RCJRMjKysLy8jL0ej2cTie6urrgdrtRUVGB27dvY2RkBFqtFmq1GoODgxgbG8PLL7+MpqYmAOtCREzQfWlpCUajkbItprPM2qe5XC7R4JiEJMuIWObs8/lw4MABzMzM4Pr169RoMj8/D6/Xi/z8fOh0Oni9XiwtLaGmpgYWiwWTk5MkaMQ0qBcWFlBcXAyz2Uxypoyp4PV6UVtbC+BX3xEmC1pdXQ0ej4fPPvsMeXl5mJ2dxdWrV7G0tAQ+n4+7d++ioaEBqVQKhYWFhNFyOBz4fD7weDyo1WqoVCoYjUbMzc3h4MGDeP3116HRaODz+XD79m0olUpoNJrPvZYtVMB6gHz77bdRU1MDj8eDmZkZaDQaRKNRKkiq1Wo0NTVRF6RAIEBeXh5u3ryJF154Abm5ubBYLCgoKCBxKJ1Oh4GBAbS0tIDL5WJychJKpZJ2TIWFhQDWYSKz2YySkhLcv38fLpcLJ0+epAYloVCI8fFxNDc3k+vMlStXYLVaUVlZSUJLc3Nz8Pl8OHv2LNrb28Hj8VBdXQ23243l5WV4PB6o1Wq4XC5ygXE4HIjFYrBYLNSgw+fzYbVaUV9fj6amJqysrMDlcu3oM7jXWMCEsR6W2bFVMN6MMT/IuVnm/bjHY1Ol2+nfj4NS99s2HuY9MAlGDodDGfPo6CjUajX+4i/+Ai0tLYRpGo1G6HQ6jI+Po6+vDyKRiPBPq9WKkpIS6qjLzc2F0WjE9evXUVBQQJZXLJtmmSDTeWAFMLvdTltydk8ul4sKkC0tLVhYWEAymYRcLqcAXlFRAYFAgNzcXNo+LiwsQKvVkjaIXq9HdnY2VCoVuWlkZWXh3r17qKysBIfDoYYL1oiSTCaRTCYRDodRVFQEp9MJu92OcDiMaDRK2HlXVxdxfquqqoj+5vf7odfrsbS0RB2CFRUVGBkZwfPPP4/V1VX83//9H1pbW1FUVETsiEQiQayHTCZD+Pt7772H8vJyGAwGeL1eTExMIJFIIBKJYHFx8XMC+alUCpFIhIqz9+7dQ2NjI/r7++H1etHb24svfelLGB0dhdlshl6vJ1obM+YtLCyEQCBAMpmE1+sFn89HIBBATU0NioqK4PF4sLq6SjsA1vL9T//0TxCJROjv74fRaASXyyVoKR6Po6GhAXa7naCN/v5+4rIfO3aMoCRmecXa+5VKJflUBgIBZDIZGAwGcn1///338dRTTz0y7rwXqc29XmNjlvwgWPFer7WfY9/D/07A/Ub8Z/P/N7/+t3lsvue94O+7DeZVp9PpiNP7ySefYH5+HouLi3jttdfg9/uhVCqhUqnIbdnv9xOGef/+fdhsNlRXV5P+RSKRIKnL1tbWzwVl1iGWTCZhs9kArHci9vb2gsPhkMJdVlYWBAIB1Go18vLyIBaLcfLkSczMzFBwqq2thVAoJCGc7u5uXLt2De+++y5mZmZgs9lw8OBBVFVVUVFJoVB8ruPQYrGgrq4OH374IVZWVmAwGAhrZUGZ0dIYRKFWqwkK+cY3voFvf/vbKCoqQjKZ/LWCFAskKpUKly5dQnZ2Nr75zW9CoVBgenoaHo8HUqkU7e3ttJNQKBSQSCQoKiqijEsqlVIRjLFbjEYjysrKyDYsGAzi0KFD6O7uRm5uLng8HioqKjA3N4fZ2Vm89tpr6OjowNNPPw2BQECfmUqlwuLiIoB1Cp1SqSRtFC6Xi4mJCfz0pz+FwWCA0+nEyMgIotEoxsfHIZfLodPpEI/HMTw8DI/HA5fLhaNHjxLFT61WY3JyEna7nYqHH374IaxWK86cOYNgMIiGhgY8+eSTKCoqwsLCAqampmC322GxWKBUKuFyucDn8xEMBonax5IJZiIskUhQV1f3SPNqP167FTHhQdkVD3K9/XpdJpN5PE4oG3/e6t+bVy92M78LgRnYemewubtvp+O3eq9MTU6hUJAQEJfLxcGDByGVSmE2m4n/ynDlubk5pFIp3Lp1CxwOB83NzSgrK4NAICB/uMHBQXIvYduxjRrKbEvKIAW5XI6CggJ4vV7SYUgmkwR1LC8vY2ZmBqFQCAKBgJxI1tbWYDabcfv2bcIzGxoaUFpairW1NdTW1mJiYgLBYBDFxcXgcDikqFZZWYl0Oo38/HwMDQ2hoaEBNTU1JDfKtDwYzh4IBCAUCuH3+8lPsaqqiswFQqEQmpubYTabSR8ZWC8e6nQ6uFwuAEBZWRmi0SiOHTuG7u5ujI2NkfjP2NgYKisrkUwmIRAI4HQ6IRKJEI1GiYu9traGu3fv4oknnsD8/Dzh5KwdXafTYXl5GdXV1VhaWoLJZEImk0FNTQ06Oztx/PhxCAQCVFRUIJPJwGq1ori4GCdOnEAgEIBEIkFPTw9yc3Oh1+uRTCbJtFav12NsbAzPPvssVlZWaCFlWs7FxcXo7+8n7rVarYZer0cqlaIFlmk2X758GUeOHEFxcTHu3r2LvLw89PT0wGQyEVbtdrtRUlICiUSCsbExNDc3w2AwgMvlIhQKkbZ3e3s7SktL4fF4SCJ1L1nvF93CvdU193L9neb5g9zHVgne5nvZ98yZrUpbrU5bVU433/TvythcEd7t/ndaMTOZDGknC4VC0vYtLy9HOp1GVlYWVlZWyB5qcHCQ2BJGoxEejwcVFRUIBALw+/0Qi8W4du0azGYzsrOzIZfLcf36dSre/OxnPwMAjI2NQSAQkHu3RCJBMBhEOp2GTqeDRCLBwsIC3G43cYgFAgEaGhpISpTDWRfdn52dRWdnJ6mylZWVUbMEE/wJBAKIRqPkZs0Em65fv45r167h/v37OHXqFDo6OvDzn/8cgUAAubm5pBmdyWTITsnv96O3txfLy8sIhUIYGxvDu+++SwGsqamJ2q2BdYyW6TAzz7t4PI7m5ma8+eabmJ+fh0ajwV/+5V/iwoULqKqqwvDwMFH6mM6JQCBAJBIBsG5OsLi4SFzfRCKB+fl59PT0EC1Ro9FgaGiIBOqzs7Ph9/vh8/lw+fJlfO9738P4+DiuXbuGhYUFGI1GpFIpTExMIB6Pkws4o+vl5+eTzklrayu4XC6USiXcbje5kwwODlJr/traGm7evIm33noLMzMz8Hq9WF5ehlarhdFoxNLSEiKRCJqamnD79m3U19ejuLgYXC4XYrEYRqMRi4uLCAQC5DYOgHYua2trEAgEkEgksNlsKCgoIG46h8OhIvR28+BRAt1eRjKZ3PK6G+fsXrLZzXFrJ8LDw4x9odI9Ki7zuxaEtxtbbZce5XgWOFgwZHbzjJHhdDrhcDiwuroKnU4HPp+Pf/3Xf0VpaSmampqQk5NDLbZjY2PgcrlE7bLZbMSD9Xq9+NrXvkZaEENDQ0gkEsjOzkY0GoXJZMKdO3doIS0uLobJZILJZAIAcuqenZ1Fbm4u4cA1NTXQ6XTIycmhZgWn00k46KFDh9Da2oqSkhLcvn0bTz/9NCoqKjA8PAydTge9Xg+TyQSVSkW0QaFQSMGfw+FQJ9qBAwcQj8dRV1eH8fFxAIDH48GpU6dgtVqRm5tLtlkbB5MOBdZ3DMwSyuPxYGVlBa+99ho4HA4EAgFmZmZQUlKCqakpqgXk5eWRalswGMR7772HiooKpFIpdHd3k3qf0WiE3++Hx+OBxWKh5zI3N4e6ujpyX+Fw1h1ZmFfkiy++SIujXC5HKpUiKmAqlcKHH35IVEDGV2acdaa7EovFUFtbi2vXruHKlSvo6upCXV0dvvKVr5DxbzKZBJ/Ph0qlQmNjI775zW8SZe/SpUvo6OggnezBwUGo1WqUlJRAJBJhfn4eU1NTxCphReNYLIacnBz893//N37605/SzmFj4WynFunHNTaa+G51vc0MsgdtbnnQYx5kPDCs8aA3sFOl9Hc9UO90/ztRdrYa09PT0Ov1pCS2scDncrlgtVqRnZ2NtrY2QmUK2QAAIABJREFUCIVCDA8P49vf/ja+//3vo7GxkWQ6m5ubiRXACko5OTkYHx+HXq8n4XoAKCoq+tzkZwLyxcXFmJiYoA49xo2empoCALJVunjxIkZGRlBbW4vp6WlotVo0NjZiYWGBugTNZjOZljLXDrFYjPv37yM7Oxs1NTWYm5sjOU4ulwu32w0Oh0PC8Syo8ng8YkVkMhksLy8TPv/7v//7yMnJQWVlJaLRKPLz8z+nSsegnI20woqKCnzwwQc4f/486uvryS1FIpEQ44Q9y/b2dpLOZLCG0+mEzWaDxWJBbm4u+SKazWbSVD506BBisRhKSkqg1WqJ4TE3N4e8vDzMzMzgwoULZMA6PDwMqVQKj8eDzs5O5OfnQ6PRIBgMQqlUgs/nk3+hUqlEIBAgmCIQCEChUODHP/4xHA4H0QS1Wi2WlpZgtVrB4/FQW1uLyclJXL58mVqs7927h+eff54wdNZ5ySy+5ufnqVNzenoafr8flZWVxD0H1hUSGeR0/Phx4j2za2z1/X/cMWCnJHFjL8Z+9WXsZex1Qdpz5rzbFmC3QLXdMY9r5dyPh7zf25Sdnp1Op6PtM6OaRaNRhMNheDwelJeX03FerxeFhYW4d+8ezGYzqqqqsLy8jNzcXNLdYPq9q6uriEQiUKvVSCQS9B9Td5uenkYwGKSAzVqHg8EgANCW+tq1a9TSazKZMDU1BYPBgHPnzpHYO7teV1cXRCIR1tbWyGFjcXERAoGAHLLr6urICXxoaIg0GUKhEBobG+Hz+VBSUgKNRkMNKZlMhgSSsrKysLa29jk9aRYwmUTpxqIzM2MF1jU71Go1RCIR6uvryWfRYrFgZGQEmUwGdrsdSqUSOTk5ZP9VUlJCWTyPx8O5c+egUCigUCgQCoWwsrICu90Oh8OBO3fuwGg0wmazQaVSYXZ2FqlUCmq1GmNjYwQx2O12/Mu//AtycnIgk8nQ19dHzuBMnIgJ2DMndrfbjXQ6TXUKFli0Wi1mZmbILUUikWBmZoZ2B0xAy2KxUJNSPB6nXVAikUAqlYLP58Py8jKWl5dpkY5EIkin0xgfH0dubi5OnTpF3xdWsGVt4+fOnSNIZ2Vl5ZHn0oOOjXNvY9Dd+B/7/RedKG4HgW6V0W8ZnLejm+yGD+1l5fki2BkbH/qjnmevYyucfTMjZTe6D5fLxdraGhV9mDebyWTCysoK8ZLD4TD8fj8MBgNUKhUZkCaTSbS1tUGj0WBiYgJHjhzBysoK3G43rl69iqysLAwMDMDn80Gv10Mul6OsrAxcLhfhcBihUAixWIyMQpmes9/vx4kTJ+gYh8OBkydPQqPRwGQy4dChQ1hYWMBzzz33ueyby+WSvCbDwlmrucFggMvlwszMDORyOe7evYvbt2+jtLQUnZ2dtF1nFD/mL/iTn/yEGjhGR0eJfjc0NIQPPvgATqcTc3NzWFtbQ19fH4aHhwkaYVhxOp1GZ2cnNZJ4PB4UFhaivLwcDQ0NtFBJJBJotVrqjMzJySG4gUE2gUAAy8vLqKysxN27dyEWi7GysgKz2YzKykrSmGCNL5WVlTh79iz5+508eRLPPvsspFIpZmdnUVFRQbZVa2triMViiMfj8Pv96Ovrw9jYGMRiMaanp8nNPBQKYXFxEe+88w5sNhs++ugjlJaW4uWXX6Yu0KqqKojFYojFYtL6Li0tJSGppqYmTExMoKmpCYFAAMXFxRgYGAAAcq4Ri8Xw+XxYW1sjEwWmdW2325FMJglyYuqGer1+2+/+g2C+DzI2c5jZ77aan7vBGVud81HGdjFgMzYPbJM5bwwqm//b+GY2r1Abg9DGFWrj3zcH/Ed9Uzsdv5ds/mHGVq/d6nobF7PdcK+enh5EIhHEYjGo1WpkMhkSOrp48SJKSkqwsrICsVhMAfGzzz6DRqPBBx98gHA4jKNHj+LgwYOIx+PIz88nFkZbWxuee+45AEBjYyPZXbH7Y5QoxinmcDjo7u5GIpGgJpVIJAKNRoOKigqYTCZ0dXWhtbUVHo8Hn376KU6fPg2JRIIf//jHOHPmDG7dugUej4fW1lbaDjO1Mp/PBz6fjyNHjuDOnTt48sknce7cOWRnZ0MoFMLlcsHj8aC0tJQCJQtQX/va1yCTydDR0QG/308Mk0gkglAoBLfbjSNHjhDPmjlri8Vi0n8Wi8U4ceIEABCDIZ1O4+bNm3j//ffxn//5nzAajSgsLCRd5HQ6jUQiQUFHpVKRBsnAwABisRiqq6tRWVkJt9tNHXIMey4sLERlZSXdK2PUMF73+Pg47HY7ZmdnSe3O7XZDLpcT//zQoUOQyWRYWFhATU0N/uM//gN9fX1YWVnBwMAAbDYb+vv7cejQIXg8HjgcDsjlcsRiMeKiHz16FAKBAD/60Y+g1WrR1NREeP+9e/dw+/Zt8Pl83Lx5E+fPn8czzzyDN998E0ePHoVMJoPH40FLSwt8Ph+A9UandDpN0NXq6ip6enpgtVqpuWi7ufNFZdObg/VWydJ+YM6PMphmzMbr7Wv79l62E7uN3wVK3Xbbko3vcTvMefN2ig0mEh+NRpFKpajZ4P79+7TF/eu//ms0Njait7cXExMTaGxshMVioW43jUZDriasMYKpzlVUVIDP52NychJGoxHAelGMaThkZWXBbrdjdHQUZWVlEIvFRFdTKBSIRCIIBoPo7+8nHHJlZQXRaBQKhQLHjh0js1imsVxSUoJUKgWFQgEul4vp6WkYjUZqxmBZG6P4SSQSmEwmzM/PUzcgg0JYcF1eXqZAyoqYrDGC0ec0Gg2ys7OhVCrh8XgoQLBGEkb/Yvj7zMwMlpaWMDY2BqVSiZ6eHkilUvh8Ppw5cwaJRALDw8NwuVxQq9UIBAJUVGOQEBOp6urqArDuSuP1evHss8+is7MTpaWlCAQCuHr1KjWHMENaJlbV3d2NpqYmrK2t4f79+2hpaaGuQZ/Ph4GBAdJH6e7uxsmTJ6nhY35+HocOHSL/RZVKRap41dXVsNlsqKurIzErh8OBwsJCgl+4XC46Ojrw2muvwWg04uLFi5icnMSFCxfw7rvvorCwEGq1GgsLC6ivrycdFkYtjEaj0Ol06Ovrw6lTpyCRSBCJRKhQudPc2Wp+7OfYKll8WMLCft7fxliwL2yNrcaD3uxOK+Zve2Debmzeom317+14lRwOB3K5HH/zN38Du91O239W/Kmrq0NbWxt++MMfEqeVZZ0AiKWRTCZpUmYyGSSTSWQyGeTk5CCRSFDjAXPHYMd1d3fD6/VCq9VCpVLhnXfegcPhIFiCmc0yq6SWlha6r5qaGhw/fhyffvopFadcLhdeffVV6HQ6iMViqvhrNBq8//77yM/PJ7PS06dPw2g0Eqvh7bffxp07d1BXV0c0P4FAAC6XC5fLBaPRCLvdjqeeeoqwaKYHkpubi+np6c/xuLOzs6mAlkql6DNYWFggDrfZbMa9e/eg1Wrx/vvvw2g0EqTjdruRSCRQVFSExsZGiEQiwrOZAe39+/dRW1tLruChUIgaYFKpFKxWK15//XXcu3cPBoMBJpMJSqUSbW1tuHXrFiYmJojX/tZbb2F0dBRWqxWLi4sIh8O4c+cOBgcHMTc3B5fLhffeew8lJSX47LPPyAWmpKQEsVgMCoUC6XSaFlyVSoUPP/wQBoOB6JB+vx+tra2YnZ2F0+nE0NAQlpeXIZFIqLvyz/7sz+Dz+TAxMQGDwUBNN2q1mjwEE4kE0S9tNhuJNzFX9ps3b+44V3ZibjxoVr2XYLsVfW7zbv9Br7Pdfe7l/neDibfNnHe62c2Z306BZ/MNf1EV0UcZe10dt4J2gK2xtJ1wex6Ph7m5OTQ1NVEwZa/3+XxUVLHZbODxeAiFQpBIJLhw4QJ4PB4aGxupaUEsFlPzgs/nI97xysoK4bgSiYQ4swxKiMVi8Hq9hCMzFTuGUTLR/GQyCbVaDZlMRh6CjM/M4XAwNTWFqqoqCAQCZDLrDtyHDx+G1WpFRUUF7ty5A7VajaKiItjtdrS3t6O8vJzcpJkjC/M6ZPrOWVlZmJ+fJ9jl6tWrcLlcUCqVePHFF3HkyBESRZLJZMRxZlAGK1qx1nSBQIBEIkHv48qVK+BwOHA4HDhw4AA11zCIgYlQra2tQSgUUkt1R0cHURWrq6vR1dUFh8NBgj96vR42mw3PPfcc7t27B4vFAh6PR81ETU1NsNvtqKysRCAQwOrqKjlpy+VytLe3QyKRQK1W4/Dhw7RgrK2t0U6jubkZi4uLGBkZQTKZhE6ng9vthsPhAJ/Px4ULFyjAejwe9PT0gMPh4Nq1a2hubgaXy8WZM2foPpaWlvDLX/4SVVVVMBqNpHsilUrx3nvv4YUXXqBF2+FwUDfm6uoqnnjiCeTm5kKhUBBTZ/PYai5sV9961LFdMrQxZm0XwB/0/Hv5/YOMbTPnnfCX7TCcncZeq5S/DWOv72kr2GIr7GqnTIFlVxKJhFgZjD7HDFlFIhF1+TGXZBYQtVotPvnkE8RiMbzxxhsQi8XIZDI4efIkGhsbIZVKEYlEqFOurq4OOp0OmUwGfr+fdINFIhE4nHVt3tu3b4PL5aK7uxu3b98mMR7m9BwKhXDjxg1UVVVhamoKTqeTml2WlpZw8+ZNXLlyhTLC69evIycnB8FgENFoFK2trVhYWEAikYBer6fOQObdV1lZiZKSEnA4HCgUCuJSV1dXk4i/wWDA8ePH8eyzz2JsbAw2mw3Z2dkYGRnB5OQk2traMDMz87lnzUSLgHVZ0p6eHqTTacr08vPz8e1vf5t0jlmrOBNP4nK5FHQDgQC1XdfU1MDr9WJxcZFa3fPz8/HCCy9Qg4dUKqUGErlcjunpaYyNjRErwmazoaamBnw+nwwFVldXcezYMcjlcty/fx+dnZ3o6enBwYMHCRN3OBz4xS9+AQ6HA7VaTbS5U6dOkfASM7ENBoMoLS0lg9YLFy7Abrejp6cHgUAAZ8+exczMDAoLC8Hj8VBTU0OLGVMWLCoqQiqVglQqhVAoBI/HQ05ODn70ox9BIpFAJBJhZmYGHA4H169f33LebMxat6tbPWzmvF1Q3CmWba6X7TY2nouxmvZy7IOOR8ac97rabbc6fdFZ9F6v97D3tV2xkP1tO0x6aGgIarWaMg0mWhQKhaBSqXDz5k2oVCr4fD7k5ubC5/ORtvDY2BhKSkpI/IYp0GVnZyORSGBkZATz8/PIzc2F3W4n0XgOh4NoNApgvUGD0dMaGxsBrGv5FhcXk0h+TU0N1tbWkEqlwOfzoVarMTAwQAyRN998kzQ4Tp8+jampKXA4HLS0tMBqtSIrKwvXrl3DwYMHMTo6CrfbjYKCAuTm5gIA5HI5Pv74Y2RnZyM3N/dzokesQBqLxeD3+wmXn52dxeLiIjweD6xWK1KpFAkKHT58mIIpe96Mc8vEjHQ6HaRSKWpra9HY2Ej0t8XFRRQXF8Pj8ZCKH8OcuVwuHA4HWYV1dXVhdHQUPB4PJpOJ6IQMdmHdg5cvX8bzzz+P9vZ2DA8P45vf/CZmZ2dRXFxMIlArKysYHh4Gj8dDdnY2+vv7EYvFKJuORCIoKCjA/Pw8Ojs7YbFYUFZWBofDgdraWoyMjECpVCKdTuPo0aMIBAJQKpUYGBggj8ejR4/CbreTlscf//Ef45133iGnFCb5OTk5SQYAXq+XHNCZ+/jS0hK0Wi3cbjeeeOIJ0mmxWCy0yyooKNhxju1WXH+YTHan2LLVefcai7Z6DduZ7XQ/D/M+gH3AnLdiHvwmKrJbjc1bmr1mxA8ztmOrbAf1bM6wmaARa5PV6XS4ePEiVCoV+fw1NDRQoerYsWNQKpWYmZnBq6++isXFRVy6dAlOp5N0H5gWhlKpRG1tLRwOBywWC2QyGQQCAeRyOQoLC2mLz9y8JRIJ5HI5XC4XnE4nQR2MqSAUCqFUKhGJRJCfn49vfetbiMViyM3NhVKphNVqxZ07dyASidDe3o7R0VHyp2N+hhaLBUtLSygsLEQikSBD09nZWTQ2NiInJwcCgQArKyukwcyMTKPRKCKRCFpaWmAymeDxePDhhx+SPCYTVZLL5fTZtLe307NPJBK4f/8+NBoNZmZmIBKJ6L4GBgYgEAjgcrnQ0dFB3N2srCwYDAYK6pnMr0x44/E4VlZWUF9fj0wmQwuK1Wol4SrGD/d4PDCZTDh37hyGh4cRCAQwNDREz6exsRGlpaVYWlrC1NQUCgsLEYvFcPjwYQQCAXo2Pp8PBQUFqKioQFZWFvr6+mA0GqFSqVBQUAClUom5uTmUlZXB4/FAo9Fgfn4e8XicFp2zZ89iamoK4XAYqVQKRqORuPNSqRTJZBKRSARjY2NoaGiATqej3Q2rBQQCAWi1Wly/fh1DQ0OIxWKYmprC5OQk+Q3uNGe2mqMbx8PUszYX3bdjZ2ych3vFm/cC3+7X2DY4P8hFt9qm7AaJ7ASbPOrYLhA/zoXiYZ7Xxi9jPB4nhgGfz8fS0hK8Xi8xFVi7rslkQmFhIW7evAmFQgGHw4FoNAo+n48zZ85Qpmi1WjEzM4O8vDzEYjFIJBJIpVJkMuvu3SUlJbDb7ZiamsLY2Bg4HA6ysrJQXV1NOhm9vb0wGAwkMcpcUrRaLUpKSiCXy6mZIh6PQ6fT4cKFC8jLywMA+Hw+/PM//zOJKPX39+PYsWPIzc3Fd7/7XdTU1CAWi5Gb+OjoKGpqaqDRaMj1hWW2jOfs9XqRSqVw+/ZtXLp0CXa7HWazGf/wD/9AHZBNTU2/prfL5/OpHZwdw4TwY7EYhoeHAQC1tbXkh1dbW4tYLEbbcybqz4SFWDAsKiqC3++H3W5HdnY2ysvLyaqKx+Ohu7sbly9fxoULF6BWqxEMBpFIJLC6ukp2WExu1GAwoLS0FGazGWfOnIFKpUJ9fT38fj+OHz+Orq4utLW1IZVKoaKigpgUTz75JH7xi18Qm0Qmk9Fi7nA40NvbSxKsPp8PRqMRQqEQ9fX16OjowKuvvoquri6UlZXBZDJBKBRScD937hxisRgCgQDpacfjcYRCIajVagDrLt9TU1O4fv06GcQyjvN+zp3Nx8disS2P2SqIbhdzHjQzf5g48jBBfEfM+WFvYDPgvt0x+zm2w642/u5xrXLbVXy320FsdQzTqeDxeFRsYYJELGiaTCY4HA709fWBz+djeXmZGkhEIhHeeOMNDAwMYGZmBqOjo5TdVlRUQCgUorS0FA6HA5FIBG+//TZ8Ph/kcjkOHDgADodD+h7BYBBVVVW4cOECuV8zzz+NRoNQKIRUKoXZ2VnU19dDrVbD7XYjFouhv78fTU1NcDqdJMjD2qorKipI8J8J3avVaoRCIWpOefLJJ0l9jrVmR6NRLC0tweFwoL+/HzMzM1Q8feaZZ1BeXk58ZolEAqVSSbrYbDCtEkb2z8rKgt/vh0wmg0wmw5kzZ/CDH/wAwWAQCoWC3MJTqRSOHDmCdDoNPp8PuVxObA3mzWc2m1FYWAgAZGZQWlqKeDwOtVqNhoYGHD9+nJo5mKZ1S0sLsUwYLMDgmhMnTuDatWt48803ScD/hz/8IVKpFJaWlqiF/qWXXoLX68XKygrKyspw7NgxnD9/HiaTCVKpFDabDTk5OZBIJBRYe3p6cOnSJcTjccTjccjlcvzyl7/EE088AY1Gg//5n//BJ598AolEgtnZWQSDQYyOjpK+CIezLuYvl8vh8XjQ0dEBAHj66adJcP/GjRt7CmTbzdWtft7qdxvrCNudf6ffbRewHyejbK+x9bHZVG33u41/265A+EXj0A87Nld7N/MWH2T7MzQ0RKI/zN3ZZrNRl9rY2Bjkcjnu3LmD8+fPE2mdOZqMjIzg0KFDtO1cXV3F8PAwCgoKMDExAbVaTUUzjUaDoqIiKJVKaLVaTExMEDaZSCRQWFgIiUQCt9sNrVZLAQsAMSeWlpaITSKVStHW1obm5mZiNjBdCpZZMjbIz372M9JmZo7XkUiEONEnTpxAVlYWKdExjDiTWRe9Ly0thcvlou62wsJC5OXl4datW1Cr1TCbzbDb7VCpVNBqtZ/bmTCOM7DOQ2ZFuqWlJUilUsKps7OzMTo6Cq/XC5PJBK1Wi8HBQZhMJjK+zWQylM0zPeerV69SR2dnZyd0Oh11RjqdTiSTSczPz6O9vR1zc3M4e/Ys3nrrLRw9ehQajQZ37tyhHYnVaqUOTr1eT801WVlZyM3NhUgkQk9PD7VbP/XUU/D5fLBarTCbzbDZbPB6vcjLyyOetNfrhdlsxuTkJM6dO0fNM2KxGHNzc4Rtc7lcPP3003A6nTh58iS6u7sRDodhMplgNpuJtcIkR5n6XUVFBfR6Pe7cuYMjR47QDmgvYyf4b6/H7nb+zYnhbrWv33Qc+rXg/Ch4yl4rnXstHO7XNXcbW93TTr/b/KFuF4wfZKGZnZ3F2NgYKioqyJ2E+bVdv34dra2tsNlsNLlYY8rk5CQsFguZrjK1MIVCgRMnTuD+/fuoqqoiW6Nbt26huLgYDocDRUVFiEajlAENDg4SB3llZQUcDoc0ppksqNPpxOrqKmQyGT766CP4fD6YzWb4/X7k5+djdHQUiUQCx44dI3hAIpFgZWWF3EdkMhmGhobQ3NyMQ4cOIT8/H3fu3IHNZkN5eTnEYjHm5+ehUChIO0ImkxHMMzQ0hLGxMRQUFCArK4uCrkwmQyKRIDlMFhg4HA6xVhi0kUqlqFVeLpcTV5e1XItEIthsNuj1enJwEQgEVNhk+Dvjl6vVaty9exdPPvkkLV4LCwvkQqNSqWCz2XD37l187Wtfw/PPP4+srCwEAgHk5+eDw1nnurOWaJvNhuXlZfT09GB5eRnBYBDHjx+noqfZbAaPx0Nubi7i8TiEQiFlxjKZDD6fDzk5OdQ+PjAwAKvViv7+fjQ0NEAikeD111/HkSNHqA4hkUjg9/vR1taGTCYDvV5PzUBXrlzB+Pg4ioqKoNVqweVykUgkwOVy8aMf/QjFxcVIp9Mwm82QyWSwWCzwer2QyWS/9l3fXJN52Dm8V5x4O6x4J3x7L/HgcY8Hypz3soptFcB2O8fDjv0q8O3lPner7m6FtW91js33zY6JRqMoKiqi7Xcmk8GNGzfQ39+PgoIC5OTkUFecy+VCY2MjBSW5XE52VvPz89Qe3dbWRm7Ik5OTSKfTKC0thVKpBJfLRTQaBYezLuJjMBhQVlaGWCxGjiAzMzPIz8+H2+1GVlYW8WMVCgXa2trg9XqpRZqJuY+NjSEvLw96vR6rq6swGAwQCATo6uqCUqlEV1cXnnrqKQqU4XAYVquVnFIYLMDgk3A4DLlcjnA4DC6XC6vVCqfTiT/8wz8EsA4j/Pu//zsOHz4Mn8+HoqIiLC8vE6ti47NnTt2pVAo2mw06nY5ashnVjwkGCYVC1NbWUgegVCql98O41sxwgLEyurq6oFarYTAYCIrIzs5Gb28v9Ho9fY4MhnA6nThw4AA++OADKBQKLC4uYmJiAjqdDhqNBnK5HLW1tdDr9YjH41hcXERzczNBPUqlEnl5eWQGG4vFoNPpEAqFkJOTgzfeeIMKdAaDAadPn0ZtbS0GBwdRXFyM5557DlNTU5iamgKfz8fo6CgkEgkOHz4MPp+Pwv9P1evs7ER5eTm+8pWvfI63zOfzMTU1BR6Ph2PHjsHr9UIsFiMvLw/RaBQCgWBHg9et5sF+jq0SqZ2gx/1MGjeOhw3sD8TW2C4QPkwQ3q0guNcsfOPPe72P3TiPDzt2w5W3WsXZ30pLSwEAnZ2dAEANJC6XC4cOHUJfXx+kUilGR0dx9OhRRKNREkNqb2+Hx+MhvQYOZ129rrW1FaFQCFeuXCEoYW5uDsvLy7SNlUgkiEaj4PF4FGhMJhMJ1jORJJFIBJ1Oh+HhYdKKTqVSqKqqwujoKMbHx3Hp0iWcPn0ai4uL8Hq9KC8vx8jICJaWlqDT6bCysoK/+qu/gt1uR0NDA3JyclBcXAyJRIKpqSmsrq6ipKSEsHeFQvE5XevR0VEKLJ9++ilKS0tx9epVkjXVaDRIJpMwmUwYHR0lFTpgHWMuKysjGp7JZKKOSlacy2Qy1LnIbJeWl5fJtorBGLFYDHa7nTDxRCIBgUBAVMa2tjbSOi4tLcWrr76KoaEh3LhxA4uLi/D7/SgvLycXG6PRiN7eXigUChw9ehSzs7NYXl5Gb28vOjs7cenSJUQiEWi1Wty9e5eMGJgreFNTE3g8HrxeL/x+PxwOB7773e/i+PHjePrpp6HX66nB5a233oLP54NKpUJPTw+xO3w+H5qammA0GnHjxg2MjY0hk8kgLy8PbrebulA3mh4sLCwQa4PH45GjO2P7SCSSXefM4wrKwK93AW6FZW8M2PvJMtscC7a6h93Gvuo5P8gW5VG2M9udbz/Osd159rqq7rZd2molB9YLVfPz82SOmslkCPc9ePAg5ubm0NzcjHg8DqPRiEwmQ+pvwLqWblVVFZxOJ9G9mDQml8uFwWBAMBhESUkJLl++DKlUivLycpIUlcvl8Pv9pJWcTCbxgx/8AA0NDaSBwePxsLS0hOnpaQDr2T5zfObz+aipqUEwGCTvQ6Z5wfjKg4OD4PF4WF1dRVlZGQCQWHt3dzdOnz6Nubk52iJHo1GizzFucXZ2Nnw+H+bm5qBSqTAxMYHs7GycOHECiUQCarUa4XAYKpWKoJ6NzzqRSCCTycDj8ZAYEAvITqeT2pMZDdBqtaK6uhp8Ph8ymYyCNoNQmJTmlStXsLCwAJVKhZMnT0KhUMDtdqO/v5+ac+rq6lBUVASNRkONPXfu3MFLL71E9lEsg62rq0N+fj6cTifOnDlDpgeBQAAWiwVra2vwer1YW1vDysoKcnJySF51aGiIOv2CwSCam5vx0UcfobGxEdnZ2cjLy0M8HkckEsHy8jLcbjcqKyuxsLCAjo4OErhinHI+n0+LQSazroOSlZUFiUSCWCyG+vqByzooAAAgAElEQVR64jh3dHSgurqaTBl2c6l+XHFgK9hkN9iCSdFu9feHvY+t7muvY18KglsVxR5kPC48Z7tMeqfMeT8+lJ3Os93veTweBgYGCM9j2UhOTg6uXLmCw4cPQ6VSEeQwPDyMpqYm9Pf3kwSmxWJBX18fzp49i1u3bsHhcJBAkVwuh9FoxPT0NBwOB3JychCPx/G9730P6XSaOvI2GnV2dnais7OTrI2GhoYwNzeHL33pS3A6nZidncXx48fJzmhychKlpaWQSqUkdPT0009jeHgYR44cwe3bt9He3o7m5maMjY1Bq9WiqqoKc3NziMfjsFgsSKfTBB2wwiB7Zkytb3h4mDzsUqkUsUIEAgE9P6FQSI01LECwz4ZZPjHtamZiy/RM+Hw+yYsqlUoqorJagN1up+yaz+cTB7qoqAgffPABPU8WvHNzc+FwOFBQUIDl5WXY7Xa8/vrrePnll1FWVoapqSkcPHgQ8/PztENZXl4Gh7PuCymRSLC8vEyt2ayFu7a2lkwNfD4fBAIB+vr60NzcjI6ODup6bGtrw4kTJ/CTn/wETU1NKCoqIh55Op2mLsEDBw5QzYK5uczPz2NycpI+c1Z/YAt1f38/TCYTLVKsyHv//v0dec4PG5QfJPnbDWLcHKw3K+htddzDjoc5z56D807BZjNutF2muN3NfpFA+07B+WHvY7tseDf8ffN17927h3Q6jdzcXIRCIWRnZ8Nut+Pq1as4evQoVlZWKGgyc9KxsTGUl5fD7XZDKBSCz+cjHA7jxIkTOHXqFIxGIxKJBFwuFyYnJ6HRaGgiNTY2oqysDBMTE/B4PCgoKIDD4cC9e/cQjUaRm5uLw4cP48qVK7BYLMRvZlQ2lUoFg8FAnYh8Ph+/+MUvEAgEAADPPPMM7HY7xsfHsba2Bj6fD7fbTYJI4XAY+fn5+Pjjj2E0GqHX66l9nT0/pnGdlZVFGso8Hg82mw2HDh1CIpGAWCxGUVERCeizYlVWVhZlcGwwSpzX6wWXy0U8Hiflu3A4DKlUitu3b6OsrIza2m/cuIH6+nrEYjGiujGXD/ZsY7EYwuEw+vr6YDAYoNVqMTk5CZ1Oh1u3buFP//RP8dlnn6GkpASXLl3CK6+8gt7eXoRCIXg8HnI2z2QyUCgUiEajZCZgtVqpESgcDuPatWtkySUSiSCXy5FIJOB2u6FWq9Hf3094/rFjx3Dv3j04nU5UV1dDJpNBrVbD7/fjBz/4AUwmE0FLfX19ePHFFyEQCLC2tgaRSASlUkm1EGZVlpWVhUQiQY0qOp0OAoGA6iFMIIm1fu821x5HcrZVxrwd93nz/Wx3n496P+we9jr2nUq3VTq/E995P675mxqbV+aN73Uvi8/m58K2q6zQxyYHj8ej4FZXV4epqSloNBr09fVRVZxBHWtra5iYmIBcLse//du/weVykTCPxWKB0WhEcXExQqEQrl+/jsnJSTz55JMQi8UYHh5GR0cHjhw5gvb2dsKzS0tLUV5eju7ubtTX16O/v5+KkwUFBWQ59cYbb8BsNpNn3sjICLE+CgsL0dHRQfzmxsZGlJSUkLuGy+XC+fPnIRAISH5z4xeaqcx95zvfITuriooKJBIJTE9Pk361TCZDPB7HwsIChELh50xeORwOUeh8Ph80Gs3nHL3/8R//Ee+88w6OHDlChq4ajQbhcBhisZg6Bfl8PsmgMohDrVYjEolgbm6OrKCi0Sja29uRSqWorXpxcRHz8/MwmUw4duwYdDod3nvvPZw+fRp2ux0zMzOYnp6G0+mEWCyGSCQiSyqfz4e8vDyYTCbYbDai9kmlUszPz6O8vBwTExO4cuUKnn32WVy+fBkFBQXUTWo2myGRSGj3sbi4iHQ6jatXr6KsrAwGgwHpdBptbW0kCKVUKqk7kdl+saYn1hk5MjICi8UCPp8Pv99PDS6MBrlxbITxtirQ7TT2cuxWEONOxfwvOkH8wmGN3S68W+a83djLMb+pLQe79uYvwIN82Ju/SEwJjnUFskKVSqXCwMAACgsL8dlnn5El1OnTp8Hn8zE+Po5wOAyLxULOykwWsrS0FAcOHMBHH32E/Px8DAwMEKMjLy8PBw4cgNvtRjAYhEAggFQqhd1uR319PQKBAPh8PsluqtVq9PX1wWQy4cKFCygrK0M4HEZlZSWcTif0ej3y8vJQX1+P+/fvo6KiglTpmPYxU6wzGAzUzHHt2jVoNBryTmQZcyKRoO5Bq9UKAFhaWsIrr7wCg8GAixcvIhgMYnV1FQcOHIBer6dAzlgXm7eqDHLZ2LzAYJB0Oo1vfetb9MyZjrXNZkNh4XqbOWMfsEahWCxG7fJqtRpCoRDLy8soLy+HSCTCyMgI7QaqqqpgtVpx6tQpuFwuYkGw3VImk4HBYKBnHgwGieKYyWRQVlaGRCKBmZkZUuwD1nF7gUCAUCiEgYEBfOMb38C7776LxsZGUin0eDwkisQ0uw8dOgSbzQaxWEzfo2PHjkGv12N6ehofffQRWltbyfTXbDaT88nIyAh++ctfYm1tDWfPnoVIJMLi4iJWVlbgcDhI2XC3ufOg40Hm1U4BeKss+lHHfu8AHoit8SCp+W7HbD7XVsfv5Y0+yDZhP7cuO113M+vjQe5xfn4ely5dQjqdpomgUCjg8Xggl8uJS2w2mzE6OopUKoVIJIKsrCz8/Oc/J9lNlv2JRCIIhUKcOXMGV65cgUgkQmtrK2VjTB0tlUqhr68PVquVgoDL5YJIJEJ3dzcuXryIvr4+2O125OTkgMvloqCgAOXl5fD7/ZDL5RgcHMTCwgI+/fRTHD58GFKpFBcuXEBHRweEQiEVJbOzs/H2229T4BgaGsK5c+eQk5PzuS84y1JVKhWp3Mnlcni9XoTDYTzxxBOwWCxkLbW2toZQKEQOLqlU6tcW0Gg0Ci6Xi5WVFfLhy2QyiMfjsNvt4HDWqYKMxdLX1wez2Yyf//znyM7ORiqVosw+GAyCx+MhlUoR/GIymWAwGIj6JpPJ0NbWhqeffhp2u510KZj+hlarxUsvvYTe3l4EAgFIpVKUlZVR56FWq4VOp8P4+Dhxs+vq6iirXlhYwBtvvEEu6kKhEDabDel0GktLS8QZv379OjicdRZPVVUV+vv7EQqFUF9fT6YFX/3qV5FMJiESieDz+XD+/HmUlZUhlUrh7NmzyM7OhkgkQiwWg0ajQWNjI7q6usDhcGiBOXz4MFpaWnbt3HvQ8aCwwHYJ4XZx5nFQctn1Np97r9faFyrd5r8/yAryRW4r9uMDYGO7D3+rv231oW332ng8jlu3biEajRLJXyQS4ejRo3jvvfeg0+kIB66urkY0GkVlZSVCoRBee+01wh5v3LiBzz77jPBag8GAgoIClJaW4pNPPkFDQwNCoRDKysowMzODkpIS5OXl4eTJkxgZGUFWVhbOnDkDqVSK1tZWfP3rX0ddXR1hwwCIucFcnb/61a8SVMDhcOD3+xEIBOBwOBAOh0nZbXFxEceOHcPg4CA+/vhj/P3f/z2MRiPZKTFxfb/fT3Ko3/jGNyi4zs7OgsfjQSwWo7GxkUSjWJbs9XoBgMwE2PPNZH4lG8owZ8aMEYvF6O/vh91uR0FBAQKBADweD9bW1tDR0YHGxkYK7Iy5wiAThmszAaXh4WFMTU3RzgIAXC4X6U/X1NQQdt3Z2Ym//du/RWlpKQnhz8/Pw+l04o033qCdUEtLC7hcLoaHh8l9nbFxWKNPV1cXCgsLUVJSgldeeQV6vR4OhwM3b96EXq9He3s7MpkMNBoNFhcXcfnyZXR1deHgwYN0znQ6jYsXLyI3NxcvvPACJBIJ7HY7JQsAqPHHZrPhy1/+MsRiMZLJJOHUbFHcae48TgLATpTYrXDojf/e75HJZD7nD7gR9vzxj3+8Y0zaFycUYGsAfvNN7mdw/G0Zm/mSbOylAMhev/G51NfX48tf/jJRmBiLgAkQMdlQvV5PjA6ZTIb8/Hzq/mIQxeHDhzE2NkaaDiqVihTOOJx1YXy/349XXnkFVqsVZ86coYYTt9tN+hs9PT3UDCKXy/F3f/d31FbO2qnT6TTa29uRm5sLk8mE0tJSKoZ9/etfx/3798Hj8WCxWFBVVYXm5mYcOHAAwWAQ4XCYlNs2ehtmZ2fjhRdeQCqVIhW5dDpNehXMbmtkZASrq6sU0NmzEgqF9HzZ58PcUDb6IrIAe+zYMRQUFCAYDEIoFKKoqIh8/5jUKrAupRqPx6mJh+ka83g8KtytrKwQ9MEYF/F4HGVlZWhvb8e9e/fQ0NCAcDiM4uJirK6u4vd+7/fg9/tJYY/L5RKXuLKyEhwOB7W1tfD7/SgqKoJcLifYRyQS4amnnsL8/Dzee+89CAQCPPXUUxAIBLhw4QIEAgFaW1sxPDwMpVIJk8mE48eP4/Dhw6SZUVVVhbfeegslJSV4/vnnIRQKIRAIYDabweFwyCTA6XTizp076O3txf/+7//CbrfTAsGKhbvNmf0uym8+x1YJ0XZJ0uOKS4xxs/kamcy6u31ra+uOr983m6q9wBiPowj4mw74j/qeNm672QQYGBjABx98gOXlZXR3dyOdTiM7O5vcQAwGA8xmM27evAm/34/CwkKoVCqYzWbS7S0vL8fPfvYzhMNhRCIRDAwM4IknniD+bSQSQWVlJWZmZsDj8Yj7qlarqUX74MGDAICysjJMT0+T7vGf/MmfIJFIIBaLweVyQa/Xg8PhkNwlky6dn59HXV0dQqEQAMDtdhN0wuFwKMtn5xCLxWS26vF4kEgkKAurrKzE5OQkpFIpGhoaCOsdGhoiBTgWcFl2W1RUhEgkQkGZYdGseYYV9Ni2/OTJkxgbG0NfXx/xmBnO3NLSAofDQTgvC0Z+v5/YJez6TqcTXq8XgUAAzz33HMLhMILBIHw+H+bn55FIJHDu3Dlcv34dDQ0NyM7OhlqtJjU3JnrF4ASpVEouJkysiin9FRUV4ZlnnkEoFILVaiVeN2Ns8Hg8HDhwAA0NDYSls8VsdXUV4XAYiUQC1dXV+PTTTyEWi9HU1ES0wtXVVXA4HDidTsTjcQDrlEbG6Dhz5gySySRSqRRCoRAymQztFnb7zm81dqK5stduNzbvknYbj3vXbjAYAIC+Y+zeOJz1Vn1GX91u7Etwflz4616u9aDV28c1HgSH3w2DeuWVV3Dy5EkIhUIUFxdDLBZDLpfjy1/+MqampjA7OwuhUEgThrkx5OXlwWg0oqqqCmNjY9Dr9WhpaUFfXx8VtGQyGQ4dOoS8vDwkEgm8+OKLkMlkMJvNmJqagkwmw9mzZ2G326HVanHixAnweDz09vZ+TpifyWgODg6ioaEBy8vLuHjxIrEo3nrrLYyPj0Mmk2FiYgLBYBB5eXmQSCSE+TLrK8boYHQ8pufB4A2xWEwc56NHjxLcw2y1ysvLcfnyZfD5fMJrZ2dnweFwqEuNMQwSiQRlu1lZWchk1nWZFxYWMD09Db/fj2g0irfffhs9PT3o6ekhzea8vDx4PB7ChjmcXyn5sfPw+Xy8+uqrsNlsEIlEGBgYgEwmI1EkVvBMpVL4yle+AolEgtOnT0Mmk+Hjjz+GUChEIpHAysoK/H4/ZmZmUF1dTQuZRCLBD3/4Q0SjUfzXf/0X8c0LCwshlUohkUjg8/kwOTlJfpRMLZA9z/fffx9OpxMFBQWw2+1wOBz4/ve/j8XFRZw6dYqcxQOBALKzs5HJZKjYmk6nEYvF4HA48J3vfAdarRaxWIw+32QySeYJ+zn2ijnvlLxtFbT3klg+bMzaahH6wtkaO62Eu1FWHgfH8TcxdntfW9F5tnvvrOlBLpdDJBIhEomAz+cjFArBbrejuroawWAQJpMJ4+PjNHlXVlYwPz8PnU4Hh8MBtVqNqakpqFQq2O12BINBKJVKxONxKJVK+P1+KmIxYX+v14upqSnU19fD6XRiamoKZ8+epfbyWCyGSCSCxsZGzM7Owmw2Y21tDaurqygqKsK7775L2KPL5UJDQwN6e3tp+8185hwOB8bGxlBcXIxnn30WKpUKY2NjxNOWyWSIRCIYHh4Gh8NBdnY2iUP5fD4yYNXr9WRlxUwEpFIpTCYTcZjZs2Zt1ozn7ff7KdOzWq3IZDLk+M38BlOpFAkTMdsqJuazurpKmTjjXzPRoeHhYZw9exYajQZtbW0oKCggaOP8+fOYmJhAMpnE4OAglEolPv74Yxw8eBAikQjJZJJ2N0VFRRAKhdBoNMjNzUUgEIBer0d/fz++/vWvw+PxUDGRx+NRt2dzczPptTAu+Pvvv0+fMYOjSkpKaEFoamrC/6PuzWLjyq6r4XWrWDNrHlisYrFYnMRBpChxkiippVaz1Wq17J48wYkNJEgA+8E2kJckgBP8b4GBIEgcJEBiJJ8dB7bbnR7lntiaB4oSxXmepyqSNRdrnut74H/2RzGcKbXb50UiWXXvrVvn7rPP2muvVVNTg3g8ThATAIJ0GHc8Ho+TKBQzKwgGg5BIJNStuNWz8Kyw5u3GxkLw5t9vvrbdjnOYwTDn/Xx+juOerWTo5r89K77z0xq7Xct+C5270XW2eg2wLiizvLyMVCqF7u5uVFZW0hacuY8IBAKySZqbm8Pi4iIaGxvB5/MxOztLWYxQKITVasXnn3+O1tZWDA4Owmazgc/nk6Hn0NAQzp49i66uLqyurqKhoQFKpRI2mw1FRUXkE2g2m6FUKlFYWAi5XE6dbH6/H52dnZibm8PLL7+M5eVlNDc3o6enB62trfD7/XC73YhEIjh79iyEQiFqamowODiIUCgEq9UKpVJJdDKXy0U8aZvNhrm5OeTl5ZHRAFNXa2xshFqtxvT0NO7cuUOBlek/sLZv1l6+MUB7PB50dXVBKpWioKAAFosFIpEIV69eRXNzM4xGIz799FNUVlbCYDAQnZDhrul0mjoQXS4XNdbweDxwHEda1X6/n4x3a2pq0N3dDZ1Oh3Q6jeXlZVRXV6OqqoqaecrLy7G4uIju7m5q52Y7icePH6OoqAg9PT1YWFhAOBwGn8/HxYsX4fV6EYvFkEgkUF5eDrlcjk8++QSTk5PkZFJWVoaOjg68/vrrT8BW4+PjqK2txZEjR2jLze5fKpUimy6O4xCJRPD+++/jjTfegEqlwpEjR2iuqFQqcgDf6bn6Ip753RKgL5KIcNDzPFWe88ax0w35Qx17uf7tmk9221ls/n80GiU9ZSZ3KZFIkJ+fj6tXr6KyshJzc3PEea6pqUFPTw9JWYbDYZhMJrjdbkilUqjVanz66acwmUyoqanBrVu3cOLECUxNTaGlpQWJRAJlZWXQ6/VUaJubmwOPx8PU1BQaGxuxsrICPp8Pr9cLl8tF5qcrKyukxczwY51Oh/7+furiMxgM1CEoFAohEonw6NEj5HLrgvlMJ5m1D/N4PJJAzcvLI7Gl//iP/8CFCxfodfn5+aTEZjabqUMQAMEIG+/t4OAgtZq3trZSQXBpaQk//elPwefzn4CUhEIhHj9+DKFQCJPJRGa2jDvMYAOJRIJYLAaPx4N0Oo2JiQm0trZibW0Nw8PDcDqdyOVyCAaDT7Rdr62t4eHDh6ioqIDb7Sb3lMHBQZjNZrzwwgtQq9UYHBwk95qWlhYUFBRgbGwMx48fx8zMDCoqKhAKhXD8+HF4vV44nU7iVy8vL2NpaQnT09Oora2FVquFSqVCJBJBIBDA0tISjEYjZDIZeeIxrjnjm4dCIaTTaUxOTqKqqopgJjbfQqEQAoEAjEbjjvzmvT5Hhx3bxZ8vOntnNM296lpvHAfiOe/2mq22+HupjD7t4t5+GBRP85zA4XAqYN3hobS09H9tc+VyOWZmZkj8PJ1Ow+12w+fz4eLFi2hubqaH59GjR7BYLNRkYDQaiX7X0NAAACgtLUUikSDBnOLiYqRSKUxNTSEajSKRSODKlStEI5uensb8/DxZVhUXF6O0tBRmsxllZWU4deoUiouLoVQqUVJSAqfTCQAUzFmVemJiAl//+tdx8eJFxGKxJyhHDHZgTtRM1Mfr9eLHP/4xLBYL2tvbCV6Ynp6GRCKhgiL73lljCRusOJZOpymQx+NxLC0twe1244033sCPfvQj0o5gBrYs+M3MzNC9XFtbo+07E3Zi1/r48WM8ePAATqcTPp8PGo2GvPukUineeustaLValJSUUJv2wMDAE7uFeDyO48ePE87NtEZaWlqoQYaZ9zKa33PPPYfr16+joqICPB4P9+/fRyaTwauvvgqBQICFhQU0NDTA7/eTq0w0GgXHcSgrKyOHlkgkgmAwCABEXVxeXsY777wDkUgEv9+PXC5HcyCXy0Gv11M3427z+4sq4m88DzvvXs990GvcON/YeQ/K+X6qmPNO2eHGL2UvWeTTuJ4vYhLstm3az9iYcbNt+OTkJOGqDO8rLCyE3W5HIBBAKpWCVCpFJpPBO++8AwCwWq1YXFxEdXU1crkcNYmwn3O5HGkNd3d3w2AwIBKJoK6ujoTiDQYDYdVarZZcTVi2Njs7S4atjFXBOLFSqRTBYBBzc3Ow2+0YHh5GXl4eMpkMNZ5IpVLqIpycnIRGoyG2CmupzuXW1fGY9jTL0ktKSiAWi0kiMz8/n6RLmQ3WRpdtVvhj8yIWi5GhaygUwuzsLDo6OnDy5En8+7//O+7evYvy8nKEQiF8+OGH+PM//3Ok02lotVr4fD6kUimSGmUYPzsuj8fDZ599BqFQiDNnzpC7jUajwdjYGIqKilBUVIT8/Hx88MEHOH36NFZWVvDCCy9Q4e2f/umfYLPZyOoqHo/DarViZGQEo6OjGBsbQzgchlwuR1lZGeLxOFENe3t7UV9fj1u3buHixYvo7OzE6dOncf/+fWo+CgaDWFxcxMOHD/H666+jvr6e2CnMXkwoFCIYDJKgPwBqyz569CjEYjGmpqag0+lo4WAKhM8Kw90u0dorbLEfKOMwsWgzps3m8H6PeejgvBu2s5kH/IcObWwe+y0u7PU4PB4Pt2/fxtGjR4kaJpVKkc1moVQqcfv2bbS2tqK+vh5dXV1oaGhAY2MjHA4HZUPAuj600+lEe3s7xsfHSSCd4dVmsxlzc3MoKyvD0NAQdDodjEYjvF4vIpEIfD4fBgcHMTQ0hIqKClgsFvzyl79EXV0dIpEIfv7zn+PatWs4f/48WSNls1nIZDIUFhZiaGgIp06dQiAQQH19PaxWK4qKivDJJ5/AbDbj2LFj5I3ITAAYZQtYz3az2SzcbjcUCgU+/vhj8Hg8aLVavP/++7h79y4aGxshEomo+YVBDSxobFysGR7MdCSkUilu3bqFWCyGEydOkLiTzWZDb28vxsbGCAqQSCTQarWQy+Xg8/lYWFiAzWYjGMXv98PlchFPnLmq3L9/n5pQxsfHYTQakc1msbCwgHg8jpdeeglXr16FSqWCSCQiw9nXX38dt27dwvnz56HRaJCfnw+Xy4Vjx45heHgYd+/eRSwWw/T0NAwGA9lTLS4u4o033oBEIoHP54PP50NNTQ2mpqZgsVhgs9mwvLwMs9mMwsJCqFQqWhiZEqDH44FWq0Umk8EHH3yAoqIiTE5OoqioiL6nbDYLgUCA2dlZJJNJcqPZ73zf7zOyOdHbqeC3MeY8y/izOfFkeH1eXt4Tjjz7GQdyQtn8gTf+u1MRbKeLO0hg+30G+o2dPk+juLDVcRhTgWnnCoVCskqamZnB8ePHEQ6HUVBQgDt37pDSm81mw+rqKiwWC+rr6zEzMwOv14uamhosLi6iqakJACjr1el0RK3y+/3UOafRaOD1epGXl4d0Oo3e3l44HA643W7YbDZUVVWhurqaJCjz8vKoYeGtt96C1Wql7F4oFKK4uBhisZiYEkyTuKSkhASecrkcBAIB3G43RCIR+REqFApMT0+jpqYGPp+Pmlaqq6sxMzMDvV6PtbU1KBQKarFm2Twb4XAYYrGYuu6SyeQTCxsLfjU1NYhEIsQ5VqvVCAaD8Hq9pD4nEAig1WqfkCN1Op1wu9148OABpFIpGhsbIRaL0d/fD6/Xi7a2NrS3t6O0tBRutxtf/epXYTQakU6nIZVKUVpaio6ODsJybTYb1Go1wuEwbt26ha6uLlitVlRUVEAqleLIkSM4efIkjEYj7UrS6TSqq6vhdrvJxFYoFMLlchEtsqenBz6fjzLmeDxOHOVEIoFwOEw4v9vtxpkzZ0iBz2KxEEtlbW0NPB4Pfr8fZWVlUKlUe5rr+4VH9xJUt3rNZohxK7h1r9ezl+vd/O9GnPkg5zhQ+/ZOcMHGlWy77rnt3rfX828+z36P8zTGVgH5IF2QW00Q9ruqqio4HA5oNBooFAp6YDQaDTQaDX7zm98gFotRxd5ms1FRx2g0oqurCwMDA/jqV7+K0dFRzM/Po6amBj/72c9w9+5dTE1Ngcfjoaenh5y+lUolpqenqeHl5MmTpHrX3t6OXC6H559/nopo0WiUoIV0Oo2ZmRnodDoqqHEcR3ZQ/f396Ovrw2effYbW1lbw+XyUlpaShjJjVmQyGWJuZDIZPH78GBKJhHi5RUVF1PgSj8ehVquhVqthMpkgkUhIiIg1jHAcRxKXAGibLhQKiRGhUqnQ2dkJrVYLqVQKvV6PvLw8FBYWwuPxwGw2Y35+nrJnhhVzHAePx0PNPolEAouLi+SmzWy/rFYrHjx4gLKyMmr8iEQiiEQi8Hg8mJ+fx9WrV8Hn80n7mdUcHjx4AJ1Oh6qqKoyPj+MnP/kJFR7fe+89UvkzGAw4evQoent7YTAY8Pd///e0+DK/RcabViqVVI+QyWTQ6/WQyWSQy+Vkefbxxx/DarWC49a9JP1+PziOg9vtBrCudc0aWRj+vNfnZi/Pxeamks3P/8b/b/7bTrv4g1zPXsZez7nXcSBYY7fA+DQyye3Oe9jxLHHog2ybtgrK7P56PB4KVLFYDKlUCslkkuQcg8Eg6SekUiksLCzAbIFi2xIAACAASURBVDbjvffew4ULF5Cfn0/+duz9Pp8PlZWV5DYSiUQQjUaJCsZ88eLxOMxmM8LhMLLZLLUjM+x1ZGQETU1NpDvNpEkZ7DI6Okr+d2tra7TAMGhkZWWFWpdZB9zi4iJUKhXJSWYyGdKwUCqV8Pv9CAaDMJlMUKlU8Hq9mJychEgkQl9fH6LRKIqLi8lFemlpCQaDAS6Xi7jTTDyIOZ+IxWLIZDLcu3cPTqcTExMTkMlkiEQiuH//PlKpFIqLi5HL5Uj1j9Hb1Go1FhYWYDKZqAmDHTuXy8Fms5Fq3urqKtrb2xEOh8Hj8dDX1weJRELshmAwSHDQwsIC3nzzTSQSCbhcLnJdv3DhAmlOs3vrdrtJxH9xcZHkTxkEIRQKsba2hlQqhdXVVYTDYfz617/GN7/5TWqkycvLIzhFIBDAYrFgYWEBTU1NyOVy8Pl8VAgcGxtDU1MTpqamEAqFMDk5ifb29gO5bO/19TtBorvBGlsliE9rt7uXcZjj77tDcCsMeaub8UWOvUInbDzNa3yax9p4L3k8HoqLi5Gfn096wiw7Yc7MSqUSmUyG+L58Ph/xeBxvvPEGVlZWMDg4CLVajY8++gjHjx9HdXU18vPzyZKooqKCRPRZgwRjFRQUFEAqlSKVSlH2fuzYMfD5fExMTEAkEj1ROMzlchSsFhYWiIv8D//wD+DxeFhaWsKDBw+oK5B1Eur1emreKCoqwuzsLDKZDN5//31kMhn4fD7YbDYAIG0RvV6PSCSCeDxODAONRgOr1Yquri7aUjL9YaaIt3GrGY/HSUJzZGQEN27cgE6nw6VLl1BZWUmO5Ayb/+ijj5BMJqHT6aBSqWAwGMBxHOGv6XQauVwO9+7dQyAQgFqtphbs4uJifPDBBygsLIRYLMbo6CgKCwshEokQCoUgl8vR1dVFEq4cx1HLd319PYaGhgjrPXv2LPk8ZjIZ6PV6NDU1oaKiAgMDAxgaGgKfz0dzczM8Hg94PB5Onz5Nu5LHjx/jxz/+MXQ6He1YWNdiPB6Hz+fD7du3UVJSgkwmA5fLhVAoBB6Ph/n5edTV1SEvLw/RaBTvvfcezGbznhgaG5+Xp/HM7BRo95JFb76uL8PYfF+eSYfgF/GhD7oCP+2OxGf5WfPy8giaYA+2UCgkd4pr166RNRPHcejv70dxcTEmJiYwPz+P1157jfBDuVyOnp4eeDweZLNZKBQKdHV1wWazYX5+HqWlpQgEAlCpVKSTYLfbEQ6HUVpainfeeYcE7BsaGnDq1CnY7Xby8GNYaTQaBZ/Pxze/+U1qBx8eHobBYEBhYSGOHz8On8+Hx48fE0NDJpORMaharQbHrVO7GId2cnISQqEQoVAIyWQSH330ETltvPjii6itrUVZWRkGBgbQ2NhI2SLzK+Tz+QRpcBwHr9cLjuOQTqdJnU0kEuHSpUswmUyIx+OYn5+nYo5CoUBNTQ1kMhkp0bEHiVXhmY5FfX09enp6oNPpkMlkCIeenZ3F5cuXsbCwQE4kzNCWSYkyA1eJRIK2tjZIpVLcvHmTXFlGRkag0WhQUFCAX/3qV3C73bQIWK1WZLNZJJNJBINB1NTUQC6Xo6CgADdu3IBUKsXExASOHTtG7jjMtIG5jq+trZGfol6vh0gkgkKhgFqtxujoKCKRCKn26fV6ZDIZtLW17cpr3jj2urvcqvi322t3+91Gxg77ebvX/j7G5us4VHDeamvwZfyge/mCDzK2Kgoe9njAk9fORIuKioooS2QwRl1dHRWTGDVsfn6eugNLS0vh9Xrx7rvv4tSpU/B6vcjPz6csiOM4DA4O4tKlS3A6neDz+eju7iaOMY/Hg8ViwfDwMCQSCS0E5eXl1HjCCnVyuRznz59HfX09aV4kk0k0NjaSYA+Px8Pc3BxsNhsePnyIlpYWomcx3QdWlGIUQWAd25RKpbh37x4ePXoErVaLixcvorCwEBKJhOAQr9eLubk5GI1GBINBwpTT6TTtOjiOI1utUChEbcxf+cpXIBQK4fP5oNPpcOfOHRKX5ziOFkZ2DMYgkcvl4PF4WFlZgUwmQ39/P/r7+9Hc3IxQKITFxUX4fD4UFhYiEolgZGQEAwMD+M53vkNNG8vLy9T1uba2hrq6OqInFhYW4ubNm7Barbh9+zYymQzy8/Nht9sRi8Ugk8kwMjKCWCyGx48fE9zy6NEjvPLKK/D5fBAKhXA6nSSMzxpgWPbMGnWmpqYglUohl8tJ1IlpobhcLpSXl6O6upo6JR89eoTm5uY9z++DPCN7gR/2Uzzc+Lx+UdDGQceh3LcPgrE+q/H7uI6DfLl7mWQbJ08qlcLw8DBqamrodazoJ5VKcf36dSwvL0Mul0MkEqGkpIRkP0tKSvDpp5/ie9/7Hubm5kj7ube3FzKZjAxLmUu2UqmETCYjqEKhUCAej0MqlWJmZoassSKRCAoLCwmnttvtaG9vx7179zAyMoK1tTUqxjEpz+LiYgiFQrS2tsLpdGJ6ehr19fXkfh2Px5/wDgyFQoT9ptNpcByH0dFRahUuKCig9nRGBZNIJGTIqtfrAawvbsz6i91jn8+HRCIBjUZDgkgFBQVk+MqKaHw+Hx9//DF8Ph+p5rFjxGIx6HQ60stOpVLIZrPQ6/VYXFyE2+1Gc3MzBcX+/n7U1dXh+PHjJBRVU1ODq1evQqfTIZfLob+/H4lEgiyfNBoNuru70dDQgIWFBRQVFSEej8Pr9dJirVAo8K1vfQslJSXwer2Ix+O4dOkSxGIxxGIxpqeniWly4sQJKiazRht230OhEBQKBfLz80kUirWjj46OEmuECSExL8j9iBwdNjjvFZ7Y/PNOwXgreOTLMg7dIbhVRvpFdOJsvp7fB9a909jrVmu394rFYtTU1OD27dv47LPPIBAI0NvbC6lUikgkgtdeew319fXIZDKw2+3QarVwu90YHBzE8PAwZDIZent7MTk5CYfDQWJK9fX1FHRnZ2dJtpK5Mo+OjqKvrw/d3d3w+/0IBALQ6XSoqKigLJ01ZLCCUkNDA5qammiL3dzcDLPZjEePHqGvr49U9NLpNO7fvw8AVIhiGRqPx3vCMVulUiEvLw8TExOkR11VVQUA8Hq9dL+Ya8za2ho4jiNvPbarYK8Lh8MIhULQaDQQCAQkKsQWQaYBnUql8C//8i+or69HYWEhCgsL6RpFIhHBPwyr1Wg0tEAy+VYmIBSLxfCNb3wD0WgU0WgUU1NTxB7h8XgwGo2w2+0oKCggGVC1Wo179+6hpaUFSqUSR44cQSaTgVarxezsLKLRKGpqarC0tISf/exn+K//+i+YTCYsLS3hzp07OHbsGPLz8yGXy/Ho0SMqTDJrMLFYTAtaNpsl6iTT7gaAdDqNbDaLI0eOQKvVwmazQSAQYGJiYkuBo53m+F6hjK1qWIepI23c3f6hjX1nzrvRUXaqhD7Nbrr9jGd5/Ge14rL7zMxEBwYG8NJLL2FtbQ3V1dUIh8Nk49TR0YH8/Hy0tLTA6/WioKAAkUiENI7Pnj2LlZUV1NbWEmuhsrKSioOMBcGsldRqNfLz81FWVgaDwYB4PA6RSITl5WUMDw/j8uXL8Hq99EAvLy9DJpMhGAwStss0Ljo6OjA/P4/KykqUl5fDZDLh3XffxaVLl9DS0kKfgcEHLCgzZ2fWzQisB+P29naCTCKRCBYWFmAwGBAIBDAyMkJFVNZGm81mCXoAQGyHcDhM7BS/34/Z2Vmsrq6ir68PCoUCN2/eRF5eHnVi2u12mM1mKBQKYlbkcjlSrkun09SYMjg4CKlUCovFQq8BgPLyctjtdsqAV1ZW4Ha7SWNjYWEBRqORFAaLi4vx+eefky72559/jjNnzhDkcPToUQSDQaRSKRw/fhyDg4MQCoUoKCggPZZr164hlUrhzTffxIkTJ0iulembMF1nphXidDpRWVlJno9sN5NOpyEQCDA4OEiaHWaz+UAJx35fu1eYYrv3bvWM7tSP8WUZWwbnw17odluQpxmY9xMUnyX88iyPy3H/j11QWVmJkZERZDIZyGSyJ2ySWKNDZWUlaR7w+XxMTk6ivLycijzT09N48OAB2trakEgkcPXqVdTX16OkpARWqxVqtZoCYkFBAQU4jUaD1dVVCiwymQzj4+M4cuQIFhYW0NbWhtu3b0OtVuPBgwcoLi5GX18fSktL8dZbb8FgMEClUsHn86G0tBT9/f1YXV0luyPW2s1a1gOBAN2Drq4ulJaWIhQKIR6Pk53V5OQkysrK6H0ajQZ6vZ6aKvLy8sBxHNlBse8pEolApVJRYBaLxcTE+MpXvoLCwkK4XC5wHIfm5mZ4vV4qSh45coRgGIFAAIFAQCp1bEEQi8W4d+8edRVyHIfOzk5kMhksLS3B5XKhpKQEer0excXFpI8il8sxNTUFjuNQWVlJetbHjh2DTCZDIBDA8vIy4f0MSlGr1Xj33XexsLCAF154AcC6m45EIsH169eh0WhQVFSEsrIyOJ1OcnRnzSlMYpXJvk5MTOBXv/oVYd+sAYnP5yOZTKKgoIDO+7S5zYd5/04Q41YB+ssYjDePp1YQ3A1gP2xldLfV9A/hZh9ksAC9traGmpoarKyswGAwUGbKimhMDInpHHu9XhJGt9vtePjwIQoKCojCxbb9AwMDKC4uhsfjoU4vpo7mdDohlUohEolIs+L69euorKwkGUpmYtrb24vjx49jaWkJpaWlWFtbo9ZhjUYDAGhoaEA6nUYikcCLL76IwsJCFBQUPCFCn8vlSEgok8lQEJBIJPD7/bh58ybh3xaLBVKplITlCwsL0d/fj6KiIlK/4/F4VNwEQCp9LHCzjP25554Dn8+H3+8nGU92j9kCyVgyHMchGo0SXMK0thmljgkeuVwuSKVS3LlzB2KxmDQ1VldX0draimQyifn5eRQUFCCZTOLYsWPEB7fb7USX/O///m8UFhaiqakJN27cQDabxZkzZ9Db24tsNgubzUaUu8rKSmi1WoyPj2NlZQWtra1U5LNYLOSZGI1GMTk5CZPJRIXF8fFxcByHixcvoqamhhY1tpsSCASIRCIYGxuDyWR6QtBnp13x03r2t4Mm9hILNmPL+4FLnlYCyeb3XhEF3sYL32+GuVXH4E6Y014x653OddC/f9nGfu4zo0dls1kSZGfO24lEAtFoFM899xy1DYdCISwsLCAajaK2thaJRAIvvPACzp07h6KiIlgsFhJ6Z00bTEPY5XIhFovh7t271L48OzuLe/fuobS0lHSmL1y4gGw2i46ODgiFQjQ1NcFiseDcuXMIhULQ6/WYnZ2FVCrF6uoqXn75ZeRyOeLjMrF2AE9kYCyLZg0RjCOdTqdhMplQX1+PWCyGiooKkupkbcjMEzAvL+8JTeKN99pgMGBoaIisvzZCGz//+c8hEokQCASQTCYhlUqxtrYGk8mE7373u8RMYLxsNpimBCusffbZZ1RAdDqdMJvNsFqt+PjjjxGNRpHJZLCysoJ4PI6mpiZEo1EMDQ1BoVBQs5DNZkNpaSmi0Si+8Y1voKCgADweD6dOncKxY8cwMTGBr33ta9QRePPmTZSVlSEWi2FsbAwLCwsEt9TV1UGv15OULGvPP3HiBAKBAORyOcLhMFQqFU6fPg2fz4f79+8jEAigq6sLJSUlFNCSySQxNraaz9sFxv0GuJ2KdxtHPB7/XzWuTCYDYOf4tJ9d90Fjy2HQA47bg9j+Vjd28w3b6wfduELsdTX9ojLip7HleVrXunklZVt0jltnb9y+fRs2mw0SiQQrKyswGo0Ih8OYm5tDXV0dSTcyXeC6ujpqdmD6yC6XCydPngQACqaMsqZWq6kphQUXlUpF7cmZTAapVApra2sUbIuKipCXl0emp6xL8NKlS9REw/Qf1Go1Tpw4AQBUgGOdiexzsmw3Go3CaDQSFe/GjRsoKCiAVqulYlwul4NSqcTq6io8Hg8KCgrAcRwcDgc1i7DMmRXDgHUHbplMhqWlJWi1WuqqKywsJNz3wYMH8Pl8KCoqIpdxoVCIRCKBkZERGAyGJ4LDxMQE5HI5rFYrqqurMT09jXQ6DZVKhXA4jEAggEwmA6vVSrohJpMJ0WgU5eXl8Pl8pEQ3PDxMDImxsTHw+Xx0dHTgyJEjBF3JZDLcunULFy5cIMaJTqfDvXv3UFZWRi3tAGgxtf3/kqTMkDWZTGJ6ehq9vb2oqalBfn4+LBYLBgcHEY/HYbFYSOjo5s2bsNlsyM/P39NzcJhnaS/v3fhssNez3eR218TGQWPQs6ozbb5vTwTn/YL2B7nAg2bp+zn25vMc5ji7fRHP4ovaajFkLAGWDbFtZX5+PnFwdTod3G43BVmJRIKKigqMj4+jrKwM09PTUCgURKeanp6mBzCTyaCqqgoPHjxAdXU1/H4/BAIBpqenqf1aqVRicXERa2treO2116BSqYgvzfz5otEoSYwyIZ++vj689NJLWFhYgMvlwq1bt8jeinG3GZ1u4/1kHYhMh2JsbIz8/pgYDytsAcDi4iK5oTAsNRQKESUMADm3MNpYIpGAyWRCMpnEyMgI2tvbCUri8/lQqVSQyWSoqKiAQCCAWq0mdgprB+fz+U+0OL/11lu4cOEC+fY5HA68//77OH36NBYWFiCRSFBWVgaPx4OBgQFotVoMDAzAbrejqqoKVqsVPB4PdXV1hNfLZDJMTk7CYDDghRdeQDqdRnd3N1ZXV1FbWwuXywWZTAaz2YxYLIbbt2/jueeeg8lkIkOGhYUFnD59Ghy37jbOoKRYLIahoSE8evQICoUCVVVViEajJG7FFk+O41BeXk7NQ3uZvweFNbYLplvFj+2Sx91iwG4xKJfLYW1tjRbzzdew0/ueRkzYc0Fwqxu+GbvZ7aJ+37jwQbYne7kXX8Tg8XjUWHHjxg3I5XIqCCaTSeRyOVy7dg3BYBDV1dUQCAQYHh6GSqUielkoFILJZCK8leM44iwLBAJEo1FqalldXaWiVS6Xg1AoxOrqKuHbRUVF5Aj98ssvI5vNksbw0NAQNa+wBhBGkbPZbIRXFxcXU0bGWok9Hg8UCgWxLFKpFHp7e3Hr1i3KXOvq6jAyMoLq6mqSB7127RqAdVYBs4dioj4suwJAFlWMFcHn80mXgi16TLaUz+ejs7MT6XSalOCYnyMAKs4yRkY2m8W1a9cgEonQ1NSEwsJCfPDBBzh//jxCoRDOnj0LuVyOpaUlfPWrX8XVq1fx/PPPQygUIhwOw+Vyoa2tDT6fD8PDw3jrrbcglUohFovx+PFjnDx5kvDtzz//nJpLnE4nqqurSdXv3XffRXl5Oanise+AZflMeW58fBx+v5/gFovFAp/PR0W/SCSCvLw8cn5xOp3o6emhFvPtxlbBca+48E7P1m5Y8nav3U+ytfkYGwPz5mNthsx2us6DjC0z5/2ucHvBnP+Q2qaf9TjItcdiMTgcDiqSWa1W+Hw+KJVKJBIJggRmZ2fh9XqhUqngdDpRUVGB2dlZnDhxAmq1GoFAAB988AFCoRD51kWjUaRSKZSWlmJmZgYCgYBcO8bGxoiaNTc3B7lcDo1Gg3Q6jWAwCIVCQdloeXk5uru7IZfLkcvl8Omnn+I73/kOxsfHIRaLcfbsWUQiEfj9fpw4cYI4zMCTW1GGczMMVy6XIxgMwmKxoLOzEw0NDSgoKMBvf/tbJBIJzMzMoLq6GkKhEFqtFgKBgAInkw5l+g/ZbJZaxB0OB5LJJHGRHz16hFu3bqGyshKhUAgzMzN4/vnnEQwGSXyKFdEYTzmbzcLn8yESiWBtbY2U5pqamtDR0YGjR4/i5s2bkMvldM98Ph/m5+dx4sQJFBQU4Be/+AW++c1vklns1NQU9Ho9dDod4cmXL19Gd3c3rFYrlpaW8NJLL8FgMFD3Ho/HQ0tLC6n/vfDCC9BoNBAKhejo6CCZUrYDY56MmUwGfr8fFRUVOHv2LHV3JhIJfPjhhzh37hyA9edXp9MBALFQ2FzeDCscJo5sPtZOr9/uXDtl639IMeiZGbxuzqaf9db/aY+nsQN4mhODVcp/85vfkPJZQUEB6StszAJlMhksFgvKy8vJUqmzsxOJRAI1NTVobm5GJpPB22+/DZ1Oh7W1NayurpInX21tLXp6euD1emGxWMi4My8vDxUVFejo6MCLL76IRCIBhUKB4eFhXL9+HSdPniRGQl5eHhwOB5l9Mkx1YGCA2pTLysoAgDK+eDxOWd5Gx5Suri5otVp0d3fjT/7kT1BXVweLxYLa2lrweDw0NzcTlY5l6GxRYRAHu/d8Pp8yfqVSCZfLheHhYcJvL126hBs3bsBoNJJYfjKZRHFxMWXz4XAYCoUCTqcT+fn51F05OjqKiYkJnD9/HolEAsvLywiHw0gkEuA4Di0tLaQyd/78eXi9XlRWVgIAtVHz+XxUV1cT1m6xWFBYWAiFQoHV1VUAwNGjR6HX6/Hhhx+SnRVbPOLxOPr6+nDp0iUIhULk5eWRF6JcLn+CthgIBDA+Pg673Y7Lly9DKBSivLwcarUacrmcqIPsvjEBefa7/cz9/bx+N6hh42v2ixc/y/G0E1DeVivfXsZ279v487NsidwJonga59zp+IdhmBwmw1haWsLq6irKy8spkLEqvkAggMFgQHV1NeRyORYWFhAKhZBKpUirl7U5u91urKys4Ac/+AFisRjOnj2LyspKCAQCCIVCdHd3E1WNuWKwFuC5uTlUV1fD5/PB6XRCpVLBbDbjL/7iLyjAr66uYmZmhjjBiUSCqHVKpRI9PT1Ip9NEZQuHw4jH4xAIBNQwIpVKsbi4SNzmjo4OFBYWUhs4AKjVasqMFxYWMDU1hY8++gjZbBY1NTXEfNg4kskkwTupVApGoxEzMzOYm5vD0tIS8vLy8MYbb6CwsBBLS0vk6edwOLC2tkYOLzwej9q9GQ7d0tICt9uNTCaDyclJyGQyOJ1O3Lx5E06nkyyeLl68iFAoRC7rjK64vLwMjUaDTz/9FIODgxCJRNDr9WhoaEBXVxfa2toQi8Woi08mk2FqagrhcJjsuH7729+itbUVwLq5AAvEbrcb8XgcqVQKsVgMKysr6OzsxNTUFEpLSyEQCPDw4UNkMhlMT08TtOP3+5FKpeD1enHv3j0UFhbuaa7u9hxs95r91Hd2gkb2G8/2+kx/kbAtbzusZjtAfuP/N//8LLcQu43NuNIXda7d/r7VRNlM8dnL9XLcOgOiuLgY77//PlwuF1HOWFOCx+OBSqXCzZs3SfDGbrdjeXkZ1dXV8Hq9GB8fh1KpJNeT5eVl/Nu//Ru0Wi0++OADmM1m9PX1we/3Ix6PQyaTkcNGUVERAoEAJiYmYDAYMDs7i48++gg2mw3Xr1/HxMQE4aS1tbUIh8P45S9/CYVCgdbWVoTDYTQ2NsLv9yOZTJKxKwtOrGiXzWaxsrKCbDaLzs5OKJVKRKNRnD59GiKRiJT24vE45ubm4HK5YDabEY/H8corryCdThNrhLlis8H0JABAqVRiZWWF2pyNRiPefvtt6rRLJBIU0FiHHMOYWcNJNBpFLpej7yKXyxFu73K5oNVqYbVaqZHjwYMH5Fre1NSEe/fuYWlpie6BQqHAxYsXSe2OwSRnzpxBKpVCQ0MD2tvb8Vd/9Vf42c9+Ru3gcrkciUQCJSUltACxz8ugHADweDzg8/kwGo1Uf2D1BuaUw7jP8Xic4DSdTgeNRkPf0Vbzc7cC3V7GQSmzG2tgBznGXq/xi6DssmvhsRNu/FCbceSNb9hq7LWC+SzGVln60wLpd5oIu71mu0LFYa6nvr6e1MsikQgGBgZIWD6bzUKlUsFqteLll19GUVER5HI5qcgxbd+VlRUIhULMzc0hPz8fVqsVx48fh0qlomxRr9fj9OnTEAqFxOZg+OXJkycpMw8EAoQ/OhwO0rbQarWIRqNoaWmBXq+HVCpFR0cHGcwaDAYSH7Lb7cjlck9gpzweD/n5+QR/KJVKatHO5XLEkkgmkzh9+jQ0Gg1u3LgBjlsXNRKLxVhdXYVUKkU6nSYqGQAkEgnSWU6lUtRgk0wmifFQUFAAiUSC4uJiNDU1YWlpiVxmWOGOYeR8Ph8ulwsAMDk5CavVCqFQiPr6ejgcDty7dw8A0NraSrRBn8+HyclJ3LhxAxaLBSdOnIBIJILFYkEsFoNEIkFpaSlu3bpFQZvtMEZGRhAOh/Hyyy/j7/7u73D8+HHySRSJRGTZxTRSNjrCMH0Un8+Hnp4eOJ1OYiTcuXMHn3zyCbRaLQBALpdDIpEgl1sXOXrvvffIsX23sXnO7+fZP0yQ3K7BY/Prt3o295MoPevBruF/LYPbrTybP9x224bt3n/YLHqnQuPm/+92/fs550Ewre0m516C+k4jl8vBbDbjhz/8IZqbm4lytVEpLJFIwOfzYWJiAouLi+A4jrQdGK3K4XCgtrYWn332GWKxGB4+fEhymaOjo7hy5QocDgcePXoEuVxOOspKpRKzs7OYm5uDwWBAJpPBhQsXIBaL8f3vfx/hcBgvvPAC5ubmSMyooaGBKv6Li4uIxWJQKpW4dOkSZWIsG2Mt43fu3KHi3quvvoquri6cOXOGdJGz2Sx4PB6USiXpGff396O3t5c8/o4ePQqBQECt2GxsxEzZ98s44263m3BXZpQ6MTGB8vJyOJ1O0hhhQZap4ul0OsRiMZSVlZFAfzqdJpojExCy2+2wWCwIBAK4fPkyhoaGUF1dDY/Hg56eHoyOjiKXyz2h3TE2NoZgMIiOjg5w3LotF/NUzM/Ph9FoRCwWo+LqkSNHcPXqVfIQZA0nAKDT6ZDNZmEymeB2u/H888+Tnrfb7cbFixeh0+kgkUjg9XphNpsRCoVQWlqKO3fuUDv/Ts/9Zlhzu9cfdmxMIPcCce6WsKXT6W1f9/saBy4IblURfZZfxpdhHLT4sLESfZiRy+VgNBopA2LKakw0vqSkBEtLNoJyqgAAIABJREFUS6Txy+fzYbVasbq6Cq1Wi4cPH9K2vKKiAlVVVVhYWEAikUBtbS1GRkbINcPtdoPjOExMTKC9vR15eXkYGRmB2WwmI1RGaTMajfjss8/gdDpRXl6Ozz//HOl0GqlUCpOTk0ilUhQsVSoV/H4/bt++jba2NigUCgrQHLfO52YsBI7jaAsOrPOYo9Eo3nnnHUQiEUxPT6O7uxszMzPUHdfW1kYGskKhkKyf2L2PxWLUQcZ2HR6PB62trTh37hzEYjHu378PvV6PaDRKjRoejwdqtRpCoZAaUfh8PkEPUqkU165dQzgcxokTJxAMBjE1NYVvf/vb6OvrwxtvvIH+/n7U19eT2NGDBw9QU1NDVlWVlZUEjfT39+PKlSsoKioiKIap7LFFdXx8HEKhkAxp2fUuLS3h9OnTxP5gfGZ2vZOTk6ipqUEoFMLw8DDcbjfMZjOam5vBcRzZl/F4PPyf//N/8Pzzz2NqagptbW07zvGN/x50vm+G/7Z7dtgisB3DY7/n3qvN1hc5KHPe74c5bBb4ZR7b7Qx2K/BttXXaCmveb7Fi4zHz8vIwNTUFh8MBjuOwtraGe/fuwWg0wufzkR7vxYsXqTLPmAb5+fkoKSnBwMAAent78fjxY1y4cOEJk1Pm4K3VamEymfDKK69geXmZugNZRyKjmjE7p/7+fhw5cgRVVVXg8XhkYnrlyhUMDAwgGAwik8lQC/HXvvY1Cr7A/2u5ZUpoLIiGQiEIhULSJebxePj6178OAGhsbMQf//Ef4+WXX8bKygosFgtEIhHEYjExJBitjw2FQgGFQkHUOofDgcnJSQDrxcKBgQFcuXIFJSUlkEgkmJubA8eta2mwRcnv91OmyIImw3kZxCGXyxEIBDA5OUnO1vF4HAqFAh9//DHpSS8uLhJrRiaTEY596tQpgm58Ph88Hg80Gg0sFgv+8i//EmfOnMHAwAAuXrwIrVZLmtOfffYZvvWtb1EHIXM75ziOMniTyYTZ2Vn86le/QiQSwUsvvQS9Xo9cLkcwExPi/+EPf0gMkp2C316KdbvN7e2w6r0U4XaDZf8Qx5Y8ZyZu/rSgiKeRNe41a32aWftBJ8xWrzvI/dxuK+b1elFYWEhNBAyzFAqFpDH89ttv4+jRo9Qynclk0N/fj2g0iqNHj5LOMdOwYO3CBQUFGB8fRyQSgUKhQGdnJwmq5+fnU1MK00FWq9VYWlrC888/j4mJCdJsNpvNWFxchNVqhdPpRHd3Ny5cuIB0Ok3ZNqv883g86nxkC87s7CxUKhWp2Y2NjZGxrEgkwvnz5+F0Oqn7b2RkBCUlJVCr1dRyvri4CIlE8oQ+NGsuYZDH/Pw8ZfwcxxFrJRKJEA7N7KcSiQTkcjncbjeJOW1cXIqKiuD3+2EwGJBIJOB2u2E0GqHRaLC0tIQzZ85ALpfj+PHjmJ2dRTweh0QiwfHjx5FKpUg0immd/OQnP0FdXR3C4TCOHDlCmtVOpxO3b9+mc+RyOcLzeTweVldXYTKZKGAxQSeO4+j1Go0GExMTdN6JiQk8evQITU1NcDgcsNvtZL7LTF83ewUeNlvd65zf62v2U4jcKSv/MgyO457EnNmFbuyoOszB2TG/iOOwvzNc7LDnZF/cTvjxdtupzV/6dsfYbWLvhJ2LxWK0tLRQB2A2myW/O4PBAKvVCrfbjbm5OYjFYgwPD+O5555DYWEh4vE4VldXqQlFoVCQUWlXVxd0Oh0V5K5cuYJsNguNRkOMCobrMq3pSCSC+fl5eL1enD17FgaDAW1tbXQ8g8GAsrIy+P1+iEQicBxHWsAbccxYLAaRSASdTocjR44gFosRk8Hr9UKr1VJH3MzMDHg8HjweD3K5HFpaWrC6ukodgvF4nNynN25Zu7q6kEqlEA6HIZPJyEPv2rVruH79Oux2O4nNM1U+mUwGj8eDhw8fIi8vj/jZAGhRSafT+Ou//mtcvnwZPB4Pfr8fkUgELpcLEokEwWAQN27cQCqVwtDQEBYXF/Hcc8+R0BLDj5kgf3l5OX70ox8hEAhgaWkJ0WiUCqGsgUQsFqOsrIwYKXw+H++88w6qqqogl8vR2dmJYDCIeDyORCKBUCiEgoICKBQKfPrpp3jzzTehVCpRW1sLg8GA73//+9BoNCQrmsvl4HK5EI/Hqct041zdaqd4mLGfY+xGWPh9JHNPa7D4sWVBcOO/ux1kOyxo489bjYNUR/cC7j+Nm73Xz77Ta3e6B4e9RqapwbznFhYWEA6HkU6n4Xa7wefz0draivfffx+FhYUQCoVQKpWIx+MoLCwkcXWxWIyxsTEIhUIMDw/DZDLh6NGjqK6uhlgsRiQSwcrKCmw2G9LpNLRaLfnKiUQimM1m4hHrdDq88sorWFxcREtLC/r6+mA2m8nN22g0wuFwwOl0Uns269zz+XxU4GP3Ri6Xw2AwkHZ1aWkpHjx4AB6Ph3g8DqPRCKvVSoJCrEsQWM/w/X4/PB4PIpEIHTOVSlFjzvj4OFQqFSKRCN58803U1NTgzJkz+Pjjj8Hj8RAKhWC32zE0NESZ5vnz54k77Ha7kUgkiBu9tLRE+HBeXh4mJyehUqnQ2tqKUCiEhoYGnDt3DrlcjjoIU6kUqqqqkEgkyPvP5/MRB5sV5vLy8vDhhx9ieXkZQ0NDcLlcpIXNOjozmcwTLfesOYdBHnw+n3Yq4XAYFy5cgEQigc/nIzEqj8dD+tc3btzA8PAwBAIB/vM//xNGo3HLbHMnhsR+x07v2wyj7vYM7ecavmwQyLZsDRZc2TZwp2C73cq5Vxrefm/yQekuh8F4t/vdxqz6MF/ufncYHMehtraWMuJEIgGbzYZcLvfE9n14eBivvvoqdDodVldXSe4zFArh9u3b0Gq1uHPnDlKpFFwuFxwOB5qamsh7j8fjEX92bW0NmUwG0WgUo6OjSCQSmJqawsLCAsbHx6HT6SjIp1IpzM7OoqioCCUlJWhvb4ff70dVVRU4joNWq4VEIsH9+/fh9Xpht9uhUqno8+VyOYJmAoEA6Qy//fbbaGlpwd/8zd/Abrejv78fKysrGBoaAgByIF9cXEQoFCLpUHYsdu/YwsCC+p07d5BIJPD+++9jYGCAGi9YUayhoQGTk5MkNp+fn494PA6dTkfZOQDMzc3B6/VieHgYQqEQkUiEjiGTyaBWq2EwGGC32wlPjkajKCgowIkTJ8BxHJaXlzExMYFEIoFAIICPP/4Ydrsdcrkczz//PGQyGbxeL6qqqlBcXAy9Xo/JyUnEYjHqhrRarQiFQiQBura2hqKiItISyeXWFfzC4TDBY0zf+t1338XMzAx6enpw5coVmEwmDAwM4Nvf/vYT3w/7d7vd3kHm9G7P6F6f34OQEr5s2TO7nm3ZGhu351u9cfP/tzsBsD2+c5ib8rSz0e2OfxCceOPn3e0YG+/JdhN0q886PT0Ns9mMhw8f4he/+AU1LojFYtKmYCppNpsNw8PDaG1tRTQaxaVLlwCAROV7e3sxNTUFr9cLq9WKjz76CEVFRcRtZpg1j8dDeXk5dfAJBALodDr09fXh5MmTkEqlT2CxzObpN7/5DRKJBLRaLWpra4kKptfrKSPL5dYbO5LJJAnCSyQS0j8WCoU4f/48JBIJxGIxGhoa4HA4SOJybm4OZWVltEgJBAI4nU7IZDLy6gPW28jj8TjphdjtdhiNRtTV1aGyshI+nw/Ly8uEu7e1tZE8JsNfs9ksnYPj1ouFd+7cocWot7cXY2NjkEgkcLlc1GVZXFyMq1evorm5GYODg7QwsN0Jx61zlb1eL3lCfu973wOfz6fFwO12IxaLkTN6Op0mI1yRSASPx0NSqNlslnQyWIbM5iSTmx0fHwewzqE/d+4clpaWYLFYIBaLCV/fKHS08d+tAvFB4sNefr+5mL45MdxM49tu7DUh/DIE7G0NXjdXPzf+fvPY6ovb6e9bvWa/Y/MNfFpbk71Mmt2C7cbr2ziRtrvGrf6+204kmUxiaGgI//zP/0xynZlMhjLFyspKomY9evQIRUVFWFpaQi6XI3w4Go1ieHiYNI/ZtrypqYnYFeyh9/l8dHwmnen1ehEMBnHy5EnIZDL09fVBLBYT++Hu3btYWFhAcXExLl++jMrKSqK9jY6OUoFp4+dj2heZTIaE/SORCMrLywnbra+vh1KpRE1NDamGMR600+mEQCCAWCyG2WyGWq0mD8J0Ok0UPXasV155BXK5HDabDXw+HxcvXsTy8jKmp6fR2tqKeDyOI0eOQKVSUdciY0CwhpZYLIaioiIEg0Gk02nSpshkMsSw6O7uJpEhxpV+/fXXSejf4XCQCzhzS6mrq8Po6ChGRkYgl8uxsrKCiooKnDt3Dj09PQT5+Hw+WK1WGI1GTE5OYnR0lFzJ2UKiVqupzT+Xy5FlFnN6cTgc+OlPf0qsl+XlZbhcLtoZbDe/9/JMbJ67Oz0Lu43NQfogydPG4+wUz37fcAf/b//2b/+/g755qy/ny7DibByHzc53WkU3To6tJstui9ZhhkgkQldXF7xeL7773e/C5/NBp9NBKBTC5XJBrVajq6sLeXl5hM86HA7kcjmsrq5ibW0NVqsVZrMZgUAAHMehsbERHLfueSeVSlFUVITPP/8cJpMJOp2OAiefzwePx4NOp8PKygpcLhfKyspIfrSzs5NEcpg/nclkwujoKOx2O+rr63Hnzh2YzWZotVr4/X7K+Hk8HnXJZbNZSKVShMNhTE9P0zYdWH9w0uk01tbW4PF4AKxntsXFxYhGo6R2x9gKIpGIrKWEQiEmJiaoRVkoFFLR9OrVq0ilUpBKpfB4PKitrUUymST+NVsU8/Pzcf/+ffJoHBsbIzzeaDTi3r17KCgoICcVBkGdP3+eujQnJychFovx6quvYn5+Hnl5eYjFYtDr9eS6HgqFMDo6CqVSCYfDgebmZty+fRvhcBiPHz+GRCKBxWJBIpEgPvj09DS0Wi0VR5k3I5uD9+/fpyYVjuNw+fJlVFRUQKPRoLOzE6WlpdDr9eA4DoFAgMwLtprzm5+HvYz9Zs3bve4w1NTNn2Gr5/z3Fct2hTU2j50KX3vBmL8sW4XdxnbBda+Fv80Z81YBfj+wx3ZDJpOhpKQEExMTyM/PJxoa88hjOO7c3BxkMhkFp9HRUfB4PAqQy8vLOH78OCKRCFZXV6m1mzVKtLe3k46zVqsFn89HMBhEOBwmFoROp4PD4YBQKCRWhclkwsLCAlpaWpCXl4dr166hra0NZWVlZOBaWloKpVJJBqbZbJa29dPT0xSkcrl13u3i4iKOHTsGYJ2fPDIyAp1Oh56eHtTW1pL2hUAggMPhQDgcRjKZhEQigVAopPP6fD6CBBwOB0wmE/h8PjQaDerr62E0GrGwsIDm5mZ0dXVBr9dDo9GQQD3TpGAdmplMBr/73e9I3H5qagp2ux0ymQz9/f24cOECkskkAoEAenp6SLg+FouR1jNjXTAoiGl+MOW80tJSFBUVYXl5GTdu3MCf/dmfYWlpCRUVFQiHw/B4PLDZbPD7/SgtLYXBYEB5eTlREoF1XQ22gGWzWSwuLqK+vh7Auj+iwWBAfX096XsvLi6ivLyc2t93CmTbjf28bq/H3Q0G3MvYb+Z/2Pi10655u+P+L+Gj7cZuWNBB37/XcZjscz/v2akAudXKuhnrOshWb/Px9/q+ZDKJtbU1BAIBuN1umEwmmEwmiEQihEIhZDIZhMNhNDU1QSwWo6CgABUVFYhEIrh79y7a2trQ0tICh8NBokYqlQptbW3kvMyKRkqlEn6/H36/n1xRYrEY1Go1aW8wUfiamhrMzc1BrVZjaGgIYrEYIpEIsViMcOD5+XnY7XZw3Lr1llarRSqVQjabhdFopJZqFkCZKhvLspkORWdnJ+LxOLE/crl1MfmioiLi6UajUTx+/Ji0jJm8ZkFBAUpKSjA6OoqVlRVMTU1BIpGQm8ja2hpaWlrofovFYng8HsrepVIpeDwemdgGg0FyT+G49QYbm81Ggb6kpIS0MCorK/Hiiy8+0TbscDjICLahoYGwdJ/Ph1u3biEcDmNxcREXLlzAP/7jP6K5uRmdnZ3k8/frX/8aAPDJJ59gZmYGdrudsGwGsTA8m2lLl5SUwGKxUCGyt7cXfD4f6XQaxcXFBBtxHEct5RuD9G7P/06wweaf9wpTHgZuOGhC9KwSy52Ouy3mvHnsdEO2Wsk2f3F7+SL3cv6DHOOw2NF2GNTGDHi3+7MdnrzVdW51rK1+p1QqSXUsHo8jGo1S04VYLCbclQkGPX78GCaTCQ0NDWhsbMTKygoCgQD6+/spq1xdXSXJSIbfOp1OzM7OUhGMSZEyPjHLupk57MDAABYWFtDU1IT+/n7Mz8/jlVdeIRlTpq/s9XqpgJfL5Yg1wHHrhbEHDx5gdXUV8/PzWFpaoq46Zk0lkUiQTCap/VksFsPr9RK/mtHLtFotampqnihWMs2NRCKB4uJi6HQ6HD16lP7u8Xig1WqhUCioCMqMDsLhMBUGOW6dgTI7O0uiR4lEAu3t7bDZbFAoFAgEAvj0009p0Xj11Vdx69Yt3Lt3D2q1GgUFBVheXiaXE8YtjsVi6O/vx5/+6Z8S9W54eBgPHjzAN7/5TXJTZ3z31157jTr7pFIpVlZWaPFIJpMkydrX14dgMIj29nYkEgmkUil0dXXh7t27OHHiBJLJJFKpFHQ6HcLhMM03htdvnpf7fbZ3qmXtNXgehrn1hzKemtj+xrETWP/7ujnPomC4H2jiae0cNp97ZWUFx44dw8rKCo4fP06ULwYH3Lx5k7rKGhsb0dfXh0gkQspt9fX14DgOJpMJ8/PzxJ9Vq9UoLS2Fy+XC6uoqrFYr4ZASiYSEjJjm8tLSEs6ePUtc6nPnzqG3txfJZBIlJSXUutzU1IT33nsP6XSa9I83SlEyU1eJRAKDwQCv1ws+n4/+/n7CRcPhMMbGxuBwOPDGG2/AbDZDLBZTcSuXy0Gv1yObzaKwsJDobGxOhsNh6PV6Ovb8/DxMJhNWVlZw48YNXL9+nRxOQqEQKeOxVm25XE54rFAoJAZFaWkp+vv7wXHr6nhMiKmqqoq675RKJZaWlsBxHGHj4+PjsFqt5C8okUgwMjICn8+HI0eOkLP37373O1y+fBkvvvgibt68Sa43BoMBMzMz0Ol0yGQyiMVisFgsOHLkCIlOMdyZyatu9EhkBc3a2lpEo1Gsrq7CaDSSd+R2QXnjv9tJie5lLm/83V6eo42w4eb3fNnhU8Z62svY+x3d59gKh94Ju93rOAz4/zTHVpDGVmO3jHrz+7ebuFsdJy8vD8FgkFy1Gbd2eXmZimkVFRUQiURobGzEzMwMOG6d6SGVStHY2EjFst7eXrS0tECj0cBms6G7u5uKZ2fPnoVerye2w8rKCrE2GhsbUVFRQTjl9evXodfrkZeXB4lEgosXL0Kv1yMWi0EgEODGjRskpNTd3U3t4MB6xsomby6XQ2dnJxwOB6RSKU6cOIHHjx/j5s2bZN30la98hZgqbFvOdg1yuZyyURaw2WBwD4Nm+Hw+enp6kM1m0dbWhu9+97s4deoU5HI5Zc4saHZ0dCCZTNJ9jMfjmJ+fx9raGoLBIGWuHR0deO655+DxeGCxWKBWqxGJRDAyMoKrV69CJpOR/CqzxRKJRAgGg5BIJDh37hxGR0chkUjwr//6r4QBOxwOpFIpVFdXo76+HqdOnQLHcfD7/dQNqVKpnpBiZbxpu90OvV5PjStsUWPKg16vF2KxmL6/gYGBXbuFD/psbZz7e9l9srE5U9/43q2offvN7J91YN+rwBLHcc8mOO/GcDjssfcb4J/m1mcnCt9W17ZdYN0K297L+TcPm80Gu92OY8eOQSqVEpuCic2PjY1BJpMRw0AgEKCuro5oVDMzM7BarWhvb8eHH36I2dlZCIVCmM1mXL9+nRxPBAIBAoEABgcHoVQq0dvbi4WFBUQiEahUKthsNszOzuKP/uiPMD4+TltqptgWDofR2dmJV155BSqVCtXV1VhbWyNIg2VnjPoFAMeOHcO5c+cQi8Xgcrmg0WjwP//zP2QmEAgEyCDW4/GA4zgEg0FEIhHE43GCItjxmDNKfn4+fD4fYrEYFhcXkZ+fD71eT6wHh8OByspK1NXVwWazkSTr/Pw8XnrpJYjFYtKtlkqlUCgU8Pl8xH6YnJyERqMhmIapCF67dg1VVVV48cUXce7cOXR3dyObzdJnnp6eRmVlJUZGRhAKhfDyyy+Dz+fjypUrWFxcxA9+8AMUFxfD4XCAz+djbGwM3d3dGB0dRX19PfHaZ2dniZnCuhml0v9b3ZcGt3Vd9/8edoAAQYAAuIL7TkkUSW3WYimS5UWOY6fONvngtjNtkslMv/ZTOvl/6Eyn05nOdMZJxk2TNEmdNI4c2bFs2dpsKda+URRFcRF3EuAGggQBECvx/8Dem8fntwKPS86MRiDw3r3n3Xfvuef87lkssFqtCIfDqKuro2cSU1NTePToEVZWVmC1WuH3+wGsha4/99xz6+YnVyiqdUCmZH1ms1Eo4TWXQ3o1KZPhCd9Wg9R8MDXaUtqGmFsNnznFnbRy+hfSFqTa4rZBEvYQbZNEiZEins8//zwtGFpTU4PGxkbMzMwgGAxiZWUFDQ0NGBwcxC9/+UvU19ejuroavb29qK2tRWVlJWKxGPXrJQd3iUQCnZ2dtLwR0cRisRjS6TRN9E7yHut0Ohw4cADhcBjd3d3o6+tDKpVCJpOhOTrIcxNce2xsDIWFhTTfBsMw6OjoQHV1NXbt2oWXXnoJg4ODVNMkqUKtViuWlpbw8ccfw2g00tJb7I0ik8mgurqa1tUj5bIWFxeRSCSQl5eHJ0+e4PHjx3j77bcRiUSg1+vR0tKCTCZDLQ+9Xg+tVova2lrqxmaxWPClL30J9fX1uHnzJq0oEwgE8J3vfAdvvvkm3chmZ2fh8/nw+eef45133sFzzz2H3/3ud3A4HBgeHsaDBw+wsLAAj8dDvU/y8vJw6dIlJJNJRKNR7Nq1C3l5ebh69SrNKb26ukqhi2AwiLKyMlpWi4x3UVERfv7zn+OTTz7BhQsX0N7eDqPRiJKSEszPz8Nut3/B/OaeKYnNb6E1xLeO2L/JPbsROoTn40mpQseOKt1IklrfopjzVgjG7Ux8k4ELTSh5XjFsnnud0GSxWCy4cOECMpnMusRCJKFQJBLB+fPn0dTUBKPRiIGBAczMzMDn86GhoQGxWAy9vb04dOgQUqkUlpeXUV5ejuXlZSwsLNCAlOnpaZSXlyOVSsFut2N8fByhUAiZTAZer5e6opGMbyMjI7Db7Th37hwWFhZQVFSE0dFR1NTUoLm5Gd3d3aioqIBWq8Xjx4/XCUoCgYTDYdhsNoyPj+Po0aPUI2Tfvn2IRqOoqanB5cuXMTc3B6/XC2BtIRKogIwPSVOq0+lo9r7FxUXodDpavPW//uu/sLS0hKGhIVy9ehWLi4s0GrH6/6qgkDEl2DYpBZZMJmn5KbfbjdnZWXR1dWF5eRnf+MY36EGeXq/HK6+8gkQigc8++wyHDh3C48ePcezYMTzzzDO0JNi5c+cQDofR09ODxsZGaqH853/+J9544w3cvXsXRUVFcLvdNCR7fHwczz33HMLhMB49egSGYVBbW0ur5JB8z5OTkygtLUUkEsGVK1dQXFyM9vZ25Ofnw2QyYXFxkXrmcKts860FOX9z2+ATymJtCZEUHMjtQ2xDYW8muVoFahEVzrkwIySstvoBs+k/G7NJDvbMvZZ8FmtbSMtgk16vR2lpKTweD81O5vF4MDs7SwMlSIQZKUc1MTFBNSWHw4HW1lak02kUFRWhv78fsVgMXq8X//qv/4qmpiYKPfT29qK8vBz37t1Dfn4+tFotxsfHkZeXh7feegvPPPMMotEovZe46D169Ai1tbWIxWI4ceIExsbGaAjyzp07UVxcTEtAEX/tixcvoqysjB64kax5xHWwra1tnacGidAj1b6JW57FYkEoFKK5kgkMksn8Ob9yJpPB3Nwcvva1r6G2thYlJSV45ZVX0NbWBpvNhnv37sHtdsNms9GgFa1Wi8XFRSwvLyOTWQs9J887OTmJVCqFuro66PV6PHjwAC+88AI9dLTb7SgpKcHq6io6OzupMG9qasKtW7dw48YNHD58GK+++iqqq6vx2Wef4dlnn8V3vvMd/OEPf8ALL7yARCKBTCaDK1euUM+M5557jr6TqqoqAGvwBInsLCgoQDQapcKX+GOTCikE+jh79iy+9KUvSc57Jb+z5zwXa1YiZNmfhSBEbrvsv+VsNhstt+T2lVMlFO5Os9XCeLNILnQhda/cSS8mnBlmLaH8ysoKXC4XCgoKEI/H4XA4oNVqUVpairt379LkN+FwmAZejI2NYWZmBlqtFkNDQygvL4ff76dZ6Y4ePUqLq/b09KC9vR3T09OIRCIoKipCTU0NLUl14sQJGAwGDA0NIZFI4Pnnn0cikYDX68XCwgItwGowGCgswDAMqqurYbFYkE6nqTua0WhEc3MzzQXx6NEj1NfXIxgMUhy5uLiYHmYuLCxQf2FSM5AkuCcHhMSLRaPR4Nq1aygoKEAymaQuZiQ1aCKRoAVzA4EATbBfWVmJUChEfZgXFxfhdDppgMubb76Jw4cP09zSxGPm4cOHOHjwIGZmZtDX10e9ZNra2mga0bm5OYTDYXz++ecoKyuD3W5HVVUVzZHS1dWFHTt2YGpqCpFIhBY/IBseyRNCkvNnMhkMDw/j6NGjsFqtKCgooKXKiPtlT08PLQpbXV2Nixcv4vDhw3SeEUuEK1Sznffc63PFdrlKoJhVy/c9oc3w7sgGImEYlQ4ECUYj1z83F9oILEiOwOTbfLgnxtn2LbSxKTlhLikpWWe6k9P3vLw8/OM//iMYhsHQ0BAVNOPj46ioqKB5HAg22tPTg/Gyck59AAAgAElEQVTxcfT19aGkpAS3bt2C2WzGnj17UFRUhIqKCpw8eRLXrl3D/fv3cfz4cQwMDODs2bMYHBzE9PQ0NfEvXbqEyspKdHR04MaNG3A6nZifn0dlZSXu37+P+fl5qsWaTCaaoIhh1hI7LS4uwufzYWBgAE+ePMHNmzdhMplw5coVPHr0CKdPn6ZZ2gKBAM0fEYvFqLsbqQgCgB4Mkmg8s9kMl8sFjUaDgYEBxGIxnD59mnp6VFZWUhe5yclJOJ1Oyq9Op0M0GgXDrAV4uN1uhEIhOBwOHD58GOXl5Xj8+DH+5m/+Bu+88w68Xi927tyJc+fOYXp6Go8fP8a//du/YWxsDGNjYzh58iRNMNXZ2Ynl5WWMjY0hnU6jtLSUJqUiGeo+/fRTlJWVYW5uDjt27EBNTQ3a29uRSCTwH//xH6ivr6dzQ6vVIplM0iriJEHW/fv3sby8jHv37tFyZsPDw9i7d+8X5rWaAozvMFBsrktZmHwktFalrtsIEpMpbCJ+88D/pR1Qw8+ZD1MSMh/k7lRyH2gziDtJ+WAMtfjKpU2SV4NoUORQjuDEk5OT2LlzJ8bHx+FwOGi+jJaWFuTn52NiYgKnTp3CzMwMamtrsby8DAB4+PAhzp8/T/MURyIRjI2N0aCNeDwOj8eD8vJyzMzMYM+ePbh+/To6Oztht9vx9OlTJJNJNDY2oqioCNFoFGfOnMGxY8fAMGtpPNPpNK0nSPyQTSYTxsbGcODAATQ3N8NgMODJkyfYt28fGIbBsWPHEAgEoNfrUVJSQiMmSXtGo5GGmROXsGQySWsLzs/Pw2azQafTYW5uDufOncO3vvUtFBYWoqKiAn19fbhw4QIqKiqQSqVQXFwMhmFogArxzlhdXUUgEEAwGERbWxsymQxmZmZopWuLxYIHDx7g1KlTCAQCaG5uRjQaRXl5OY4dO4bnn38eY2NjKC4upv7ZdrsdjY2NKCsrw+TkJA0ounv3LpxOJ2w2G+7fv0+rqJPxe/jwIbRaLZqamlBSUkIzAJKov9XVVYRCIfj9fty9excHDx5ENBpFfX09hYssFkvWc1CMhKAEIVkhxgNX1kjJla206uUqWewDWNU0ZzYTfG433J1Prj/jZhOfwOVCN1wS4lPpM+ZiNpKE9yS9ZygUwn//93/TKDbirdDT04Pe3l50dHRgfHwcv/nNb2gGtpGREVRWVuLOnTtwOBzIz8/HhQsX0NDQgMLCQvzwhz9EbW0tdu/eDbvdjqNHj6K7uxs3btzAnj17UFZWRg8Hx8bGcOjQITgcDoRCIQoRmM1m2Gw2hMNheDwenD9/nmawIxo/wzA0gIZU3ygpKUEymURNTQ28Xi90Oh1aWlqQTqeRTCYxPz9PPT4ePHhAoQydTkeLsmYyGaysrGB+fp7i0cBakqBIJIKOjg5UVFTQArREiP31X/81Feyrq6vw+/1wOBxIJpMYHBwEAPT19aGvrw+lpaXo6+uD0+mk5Z+Kiorw8ssv4+/+7u+QTCZx9OhR1NfXY3l5GQcOHEBjYyP+8Ic/IB6Po6ioCGNjY+jo6MDZs2fh9/sxOjqKnp4e7Nu3j244v/jFL+Dz+RCJRFBcXIzh4WF6hjA8PIzOzk4UFhZCo9GgrKyMRgFOTU1Rf+f79+/jhz/8Ib785S+jo6MDdrsdV69ehc1m+8LcU2stcq1ruYJVrL1cft9uxOVX9QhBPmHGxXi4321HUnIwofR+qXbYYydngrEd23U6Hd566y24XC5UVVXRpDULCwtobW3F559/jh07diAUCtHEPa2trRgdHUV5eTlNlMQwDDweD8bHx5FMJmldPZ/PR/M5x2Ix1NTUIJPJoKqqCuPj49Sn98qVK1hZWcFvf/tb6PV6fPWrX0VhYSFu3rxJq7V87Wtfo4UCiOkdi8VgNBqp8JyZmaERcuFwGAsLC6ivr8fS0hI++eQTuFwuVFRUgGEYGAwGtLa20jEjEAkRALFYjIa7A4Db7UY4HMbKygqi0Si6u7vhdrtpEAbB7fv7+6HRaDAxMYHm5mbodDqsrq7CZrPRaMZQKESDNux2Ox4+fEiLH2g0Gvz+97+H2WzG559/jtXVVaRSKRQUFGB0dBQ7d+6kB4p1dXVIJpOorq6G3W7H9PQ0Tpw4gcePH+PJkyeorKzEV77yFYyPj2Nubg41NTVoa2vDyMgIPB4PxsbGaPTlwsICYrEYlpeXkZeXh4WFBRrm3tHRQQsUkErjhw8fhsPhkD3HsyW+gzql95H/xbTu7S5jxIhqznwPKaQp8jXC/szVlsluybdrqvUQfH9zJ4Cce7nfifGt5q6sJl5vNBrx7W9/G4lEAh999BEA0BzDRJMiwvTevXtUc66vr8fg4CAKCwtRXl6O/Px8WrPPYDAgHA7jf/7nf1BeXo67d+9idHQUAGgOhkgkgtLSUlobkCTdIWHBjx49gs/nw7Fjx+B0OnHw4EFYLBbY7Xbq/UCw8kQigWvXriGTyaCkpARPnz6lh5bFxcU0x8Wrr76KUCgEk8m0rvhoKpWi1bwJkaRHRDsnm0xpaSk9CNTpdDTZz69//WsatAOsbXqdnZ00cId4gJDUqTabDTt37sRXvvIV+P1+NDY2IpFI4MaNG3A4HCgpKcHZs2exe/du3Lx5E/v27YPZbEZDQwPeeustZDIZGoVJ+mSHV/t8Prz44otoaWnB9773PdTV1aGzsxMdHR1YXV1FRUUFfvGLX2Bqagr79+9HIBCA2+2Gy+WiebdJCP5HH31EMwwyDEMPRYlgznbucUlIfrDXkFoCVK4WvZHatNpta//pn/7p/wkB/0K4qpDg4x5usf/eKIyWS2xNKVvtVY42rDYWl61Zx3cf0dxI/T6j0UihAuLfevjwYVrOqbu7GxqNBjabjZa1AgC/34/Ozk5MT0+joqICs7OziEQi2LdvH/x+P+rq6miWuoGBAQwMDODTTz9FXV0djhw5QnNBkBDzoqIiBINBnDt3Dg0NDSgtLaWFaTOZtfzMJBqvrq6Ohps/efIEN27cgMlkQjgcRn9/P7RaLd1IIpEIFhYWqAcGSc5ErAYSoEO0ZJvNhsLCQsRiMQCgoe8Mw6C6uhojIyM4evQozp07h0uXLiEYDMLn86G2thbpdBoul4vissQDpLS0FL/4xS9QU1OD6upqFBUVYXFxEY2NjXjrrbdw8uRJGAwG7N69GxUVFfD5fHjy5Ammp6fxxhtv4ObNmyguLobZbMbbb7+N0tJSvPPOO8jLy8Ps7CxSqRQePHiAgYEBfOtb34LP50NhYSGuX7+O9vZ2BAIBXLx4ETabDc888wzsdjtWV1fR19dHfdyTySQ9tCQh+yQlKQnn5pubalCuMkBIRsltS2ptS93HJikIUo1Nh2GY9bCG0sFifxbSYKXuFSOxh1TiH8m3o7GFOPd+vn7lWhR89wo9h9TzcfniewY+0mg0KC8vRzwepyk8SVrPgoIC/OxnP8OpU6dgMBioC5nJZKLeFC0tLfD5fDh9+jRaW1sxMDCAoaEhHD58GMXFxXA4HGhpaUEkEkEikaC+s4FAAM8//zzOnDmDlZUV2O12+P1+zM/P0wrQtbW1GB0dpUEXBA/OZDLrEhdNTU1hcnISOp0OIyMjOH78OM6cOQOj0YjGxkYqaAoKCmAymWCxWDA4OLguIx85/CPvjI1rkwrZJPpRq9UiLy8PFouFlnZ655138I1vfAMzMzN47bXXkMlkaA1BnU6HeDwOi8UCnU5H85A0NjYiFouhoKAAer0eH3/8Mb7+9a+jp6eHuq+RyL7r169jZWUFBQUF8Hq9+MlPfoL9+/fjyJEjiEQiOHnyJPLy8nD27Fns3bsXY2NjmJ6exuDgIGpqalBRUUGrrnzwwQdoaGjAt7/9bTidTiwsLCCZTNJczqFQCKFQCNeuXYPNZqOpWUlyKKfTuc764EJraghpoTUlp32hNSxEXM8HqevZbcoV9HJ+z9aNDsjRz5nLiJL7cr1WjZ1JqC0+zT+bdsW+437PnUC5aBmZzFrASGdnJ/Ly8migBcF0SYklq9WKGzdu4MiRI9BoNLh06RIKCgpQXl6OgYEBmgfDarWiqKgIg4ODcDgc+OSTT1BcXAyDwYAHDx6goaEB/f39FMP1+XzYuXMnjaALhUJ44YUXYLVasbi4iJWVFVodJBqNUgyWhFcTVy+32029L0jy+tHRUZhMJsRiMZorwmg0Uo3WbDavS6CUSqXWJe8hgS56vR5LS0soKCigIdtkA/H7/bh06RIKCwsBgIasFxQU0JSs8Xh8XRL6paUl9Pf3o6urC62trZiYmEAwGERRURGSySQYZu2g0+/3g2EYak10dHTg/v37uH79Op5//nnKZ1dXF01kRSqol5aWwuv1IhwOUzc6kkluaGgIe/bsoR4vDx8+RCgUgkajQX5+PoaHh5FMJjEzM4Pnn38eq6ur6O/vR0FBAR03obmp1loTU3DkKldcy1zOQTq3v43ybWa3SzaHbPthGJneGrl4JGwX4vIq5E0ido/S35W0zdbkc8W4GYbB3r178fTpU4p9plIperj28ssv48aNG7BYLGhubsaPf/xjTExMIJVKYW5uDu+//z52795NK2Xn5+ejpKQEe/fuhU6nQ11dHRwOB0ZGRtDU1IT8/Hy0tbXRck9FRUXQarWIRCK0evSHH36ImZkZLC0t4ebNmzR8mlQuIQdkxEtDp9NhdHSU+vva7XY4nU7k5eXho48+wpMnT9Db20vzYpDq36TKCPlHDv8A0OhAkl+jtLSUHkaurKzQw0yj0UgtBofDgcXFRaplEwFODkgJmc1m7N+/H2NjYzQ6M5FIIB6P4+nTp6irq6MJpPLz8zE0NITm5mYwDIPZ2Vk8++yzePbZZynM0Nraih07dtDUnrFYDE1NTbh27RoMBgNmZmbQ1NSE6elp/OpXv8K+fftgs9mokG1ubobD4aCVWaxWK7q7u1FSUkIL5u7bt4+Gycudt0qJbZ0KnTkpFWBcV12+8y2h+7LpTy6x21WSQlWoDVmasxraLndg1Ny9lGLLUtfIfYm59Cu0k/NpzNmaRhaLBZOTk0gmkxQXJQmATCYTzp49ixdeeAElJSW4ceMGGIZBe3s7RkZG0NfXh5aWFgwPD8NsNiMYDOLmzZsIh8O0GOrHH3+MwsJC9Pf3o6enB21tbXj06BFcLte6HMK1tbU4ePAgQqEQHj16hF27dlFBTyAFggsT74ZQKISSkhKMjY1hdXUVk5OTmJ+fh8PhwIsvvoh9+/ZhZmYG7e3tsFgs1H+auJuRcRsdHaWCksAa7HFmmLUgjeHhYepCSGCegYEB3L17F8lkEmazGeXl5TAajV+oc8gwawE+fX19WFlZQTweBwAUFxejqqoKWq0WN2/exPHjx8EwDI2KvHLlCtxuN4qKitDc3Izf/va3sFqtWF5eRnd3N9WGCZyj0+kwPz+PoqIi1NbWIhgMYnp6GqWlpWhoaIDH46GFa8kBX3d3N8Xl+/r6UF1djfv376Ovr4+OHfsgMFuLWM583AhtnNu+EP8bpS1vFDEMI084S3k7yDHluRiW0H1bTWoIZED5ZBAzu7LVYshBF0mDeePGDRrkYDAYaE6KWCwGt9uNF198Ebdv38Y3v/lN6s4WDAbR1dWF5uZmVFRUoKamhhYXfemll+BwOJBKpdDa2oo//elP0Ol0sNls6O7uRk9PD06dOoWysjKcPn0adrsdHo8HBw4cgF6vh9/vh81mQyqVwsrKCvLy8mh6UI/Hg/fffx/Nzc3o7e3F1atX0djYSAMziCZJBO/777+P2tpa2O12+Hw+vPPOO+jo6IDb7abPuri4SDFmolFnMhm6AZSXl9N5urS0RA89rVYrmpqakMlkqObNFvIAaJa6kZERmEwm1NTUwGAwUBw8nU7j+vXrKC8vx+XLl1FdXY3Z2dl1kJPX68Xt27exuLiIgwcPoqurC5cvX8bS0hL+4R/+AT/60Y/w93//9ygrK0NxcTEtYfXss8/CarXSw1CGYdDV1YWf/exnOHjwIO7cuYNLly7h5Zdfpl45JKMgiZBkP8tGrEuhta9UERKCCvgUGr7NYDOEdC59sJ9zwyqhSP2+ETuzGm3wmVtyca5s+RHTrnM1L81mM37yk59gamoKp06dotF8wWAQDocDv/vd79DW1kYrgxQXF+Pdd9+l2jXBRUkSfafTiffffx979+6F0WjEvXv34HQ64ff7cejQIRgMBly8eBEFBQVoaGhAUVERLBYLzGYzPv74Y1oIwOVyoaioCMPDw4jH4zAajYjFYhgbG4PL5cLNmzexurqKiYkJ1NXVobW1FfF4HI2NjTSJz9jYGBW85KBSq9XCZDKhvb19XRa5dDpNEx+R5ErE5Y5EzBEBS4qrXr58GYFAgFY46ejogF6vx/3792E2mxEIBGiADzlQbWtrQ15eHj777DNakbysrAx6vR719fU0CIh4nWQyGfh8PqRSKQwMDGB+fh7f/va30dXVhYqKCpSVlcFqteLWrVs4dOgQxcbv3buH/v5+eg0p3ppOp3Ht2jUcPXoUHR0dtF7ia6+9htnZWQQCAezbtw8Wi4Xylc2cVUJi+LJSWSAkmIVwaW6gy2YohGoIZgDZe2uIdaDkZHUjToLZJg4Xk8r2YECJWaaGyabmu+jp6UFnZycePnyIAwcOAAAcDgcKCwtRXFyMGzduYPfu3bhz5w4CgQDa2trw5MkTWg2kv7+fli3yer20AKrdbkddXR1Onz4Nl8sFvV6PgYEBuFwuAEBnZycCgQD8fj+6u7vR3t5ONcra2lp6WKXRaGhCHvJ3Xl4eQqEQXnrpJWg0GlRVVcFgMODDDz+E1WpFXV0dIpEIjEYjTXcJ/DmdJ4FHGGbNM6O3txdFRUXIZNYiBYkXRyaTwfLyMrxeL0ZGRmjpqZWVFZw6dQpLS0sYHBykwr2wsBAGgwH379/Hjh07cOPGDdTU1NBwcMLLj370I+rB0dPTQ4M+hoeHsbi4CIfDAYZhsGvXLgwNDaG+vp5q6O+++y5WVlZw+PBhnDt3DgcOHKDFWBcXF5FOp3Hv3j1UV1fjyJEjtOp4MplcV3aLZOg7c+YM2traEI/HkZ+fT/3KuXAGez2ouS7Z2rEacAOf1s2FNfh+3+7E5TFnb41cr9+M3VrIdFIimNntKL0/F+IuGr5JKEYajQZutxt5eXkYHByk2jBxNcvLy0MkEkF3dzf27t1LcduGhgb09vYiEonAZrPB4XBgcnISS0tLmJ6exieffILl5WUaEdfX14dAIACLxYLHjx/j9ddfh8PhoJCDx+PBwMAAvvrVr8Lr9YJhGOrFYDAYAIDmcp6enkY6nYbX64XdbqcHXaOjo2hpaYHVasXU1BSmp6fR0tICg8EAn8+HdDqNmZkZmjmOPUZTU1PUj5dkbotEIjAYDFQbTSQS9BrCYyqVQn9/Pw4dOoSPP/6YhpB7PB6a3J9sLHl5eXSO7Ny5k6blLCwsRCaTwdOnT7F//37E43GKsT98+JDCMcQ3mSTQz2Qy1D/9+PHjyMvLw9jYGE6fPo2qqioEAgHs2rULwNrcTCQSCIfD8Hq9sFgsNJdGe3s7ANCq6eSgl0SW8sEZagpmsfm6URDKdoZOAfEzJ0KSwlmOaS1kpvDhQNzvhSibIBIlPIvxKtS+nOu5JIQfK5k0fJsC3/iQjGPca202G3p6evDss8/C7/fTKEFyrcvlwsOHD1FZWYna2lr09fVhfHwcmUwGO3fuxAcffIBYLIbS0lKcO3cOy8vLeOONN3Dp0iVasZmEMbtcLnR2doJh1ipbf/TRR/j000/x+uuv49SpU0gmk7RCCil9RVKDJhIJ/PGPf8Ti4iLy8/MRiURoiDHRrp1OJ5xOJ4qLi+H1enHr1i0a1We1WinE8O6776K5uRnLy8uwWCwoLS0Fw6x5b+h0Olpbb2FhAVarlea2Jmk0CRau0+kwOTlJ81QTDw+iFVssFpw9exYNDQ3rDjdJ7cHbt29jYWEBmUwGe/fuRX9/P8bGxqDX67Fnzx60tbWhtLSUVn25ePEivF4vzp8/j9bWVhq4MjQ0hFQqhWQyicnJSbz++us4dOgQtRCAtY14fHwcNTU1dAMgfuMkkb/JZALDrPl8c+dJrsSn/KitiXP7kmvBbucDQaFnUaw5S2luXGyW+1022mo2WjofH3zXCZk+bEgkW42b79psTCy5uLOQ+w6J/ovH4xgbG0M4HKZ17/Ly8mA0GmE2m/GrX/0KBw8ehNfrRSqVwq5du9Db24uWlhY0Njbi4cOH2LlzJ/bu3YtAIIDS0lIUFxejr6+PHpRV/58nh9lsRiwWw+eff47m5macOnUKqVSKVhQhY0A0+FQqRRPFNzQ04MyZM2hqaqIHjul0GoODg/Sg7tGjR2hqakJ1dTUtj5XJrFVBWVxcRG1t7RcCUMgGkMmsRSMSP2wSWdjV1YXi4mJ6GPree+/hwYMHCAaDqK+vB8P8uSbj0tISlpeXkZ+fj8bGRuj1evh8PqrtXr58GXq9Hvv370dfXx+Wl5dx4cIFnDhxAm63GxaLBXfv3sWuXbsQiUSQTCZht9vhcrmQn5+P1tZWepio1WppFXCtVotvfOMb9EBSo9EgmUzC7/cjLy8PPp8P0WgUHo8Ho6Oj0Gq1NPMegYHY83CjTX6lykwu/Ug9y3YVzmxSpDnLbVAI7+HrWEzgCp2yil3D97sUv3x882m1QgKarz0xfnKZGErgFCFLwmAw4L333sMHH3wAn8+HiooKuFwuWoPP5XIhFovh3LlzqKqqQn5+Pn76059icHAQ586dQ21tLeLxONra2vC///u/aG5uht/vRzKZpMnjE4kEzRNts9nw61//Gjt27MCRI0doVBpxB7NYLLQu4eTkJDweDxYXFzE1NYVgMAiGYXDo0CEafReLxfDv//7vGBwcREtLC5qamqDT6ahLm9lsppYDyc5HEt6TIJRMJoP+/n4sLy9Tn2yXy4V0Og2tVou+vj4atBMOh5FIJHDnzh0cOnQIe/bswXvvvYfm5maaNpW0QQ7iSKRiPB6nxQJsNhvdKO7evYvx8XF8/vnncDqdOHDgAGKxGN58802UlJRQV7/KykpEIhHs3r0bKysruHz5Mvx+Pw4cOACPx4NPP/2UYvYEeiEHqhcuXMCdO3dw5MgRTExM0JqCANalAiXzIhfMV+41myUUxZQp7m9KZNBGkVQATc7CWUpQ8AluMXNDDUGX7cAKacjZTuJc+SEk5crI/lvoWo1Gg6mpKczOzqK9vR3xeByFhYVYXV2lgqy6uhqpVApdXV1wu904dOgQotEo2traMDk5SeEGkhMjHA5jbm4OdrsdeXl52L17N3bt2oVEIoGf/OQnMBgMeOWVV6DVaulhFMMw0Ov1VGslh1OkEvbDhw/hcrkwPz8Pj8dDSzs9fPgQFosFL730EpLJJIqKisAwDK3wQWAKEg5O8FZivhMNM5FIYH5+Hl6vF9FolAo2AlUQiEOj0SCRSODYsWMoLS3F9PQ0HA4Hdu3aBZfLhYaGBsTjcQQCAWQya2Hd0WiUeoSk02kKn+j1eni9Xpw4cQIulws+nw/j4+OYnJzEkydPUFhYiIWFBczNzcFsNuPdd9/F3Nwcrl27RjF44o+el5cHp9MJnU5HayD29PTAbrfjyZMntDiA3++nFsTY2Bg8Ho+oBag25LDZmK8cmSAlmDfTo4PwJPY9E4/Hv7Capfxs2cJK6CVwXVi2kuTAGkq+3+jn4e7w7P9zoUePHuH27duYm5uDTqfD17/+dSqQSAScRqPBRx99hIKCAuoOd/HiRVqNmZSLmpiYwJMnT/DVr34VBoOBpseMxWL4l3/5F7z44ot4+eWXaYpOMnbpdJqWq7p//z4aGhpw48YNjI+PQ6PRYG5uDqdOnYLRaMSuXbvWYdSkgMDq6iqti0e01lAoRDHnxcVFCtUQbJtE2QGg6UkZhqFQUCAQQCKRoAUIPvroIxw7dowepBJBR/JRk7zHFy5cwMDAAP72b/+WZr4j4fHhcJjCMsS/mmEYxGIxJJNJLC4u4v79+7Q8GIE6Kisrsbq6iubmZszNzeHkyZOYmJhAWVkZUqkU4vE43VQB0Cx+o6Oj8Hq92L9/PzKZtURPFosFNTU1vGcRfPNNiMQ2fr5r2aSm5cgne9h98vlRb+Z65ftNzn18spRXc87mYfiEORdv2s4nqGJaMx9uthk4nVSfSnlwu900WmzXrl14/PgxzddcVlZG8/5arVb4/X7U1NTA4XDQmoIkN3AkEoHH48HJkyexsLAAo9EIm82Grq4ufPrpp6ipqcFLL71E6/qRJEEMw1D4gBxklZSUwGazobS0FDabDQcPHsTjx4+xa9cuejC3tLQEs9mMhYUFeh/JnKfRaLCwsID8/HyEQiHE43EMDw/D7XbDaDTSArQE2lhZWUEikaApP+PxOPVzJjUBk8kkWlpaYDQaMTk5CbPZjPfeew+FhYUoLS2lGw7hxWazIZNZCzs3Go1IJBIAAJvNhrm5OZofm1R5Ifk5CgoKaKi7y+WitQOtViuOHz8OrVaL6upqel5AqtyQxE4EhyeJ/T0eD5xOJ8rLy6m2HgqFaI4QoXmWqzDlWse5zlMuL3L7ZX//l+LXLHam9QXhnK1g5tOU2VhPrn1kw5Pa9wtNBrHJLGeCKMHwuMJa6SIiMEBpaSl27NhBq3KQ7HQMw9A8xvfu3cPY2BgWFxdRWVmJyspKpNNp1NTU0EO4yspKfPzxxwgEArh16xZKSkpw4MABWhWbwArkQA4AxZqXlpawtLSE9957D319fbT6t81mw+joKG7evIlEIkE3AxJ6nkgkaPVq4ucMgOZ5DoVC0Ol0NF90NBrF7du3MT09jfLy8nV+1Hfu3EFTUxPsdjtCoRD1iMhk1nJukNJY3/rWtwAAVqsVAGgk3uLiIu7du4eFhQVadFav1yMUCmFmZgYlJSUIBGhxLyQAACAASURBVAKIRCK02jfxpIjFYjTPB6nurdfrUVdXh6mpKRQXF0Ov1yOZTNKEUPn5+TSBkdFoxLvvvounT5/ixRdfRF1dHUwmE86dO0czBbrdbsFsc1ztMluBJqTFbiaJKVC5HupvJAnJGUDFSihyhdNWDUq2u6jYc202RgV8ERdT6mjPMAxNtL6yskJzMESjUYRCIWQyGRiNRmrO+3w+jI6OoqGhAWazGbdv36ZFU41GI65fv04T6Rw6dIimAmVHzwUCAapl/vGPf8Tu3buxsLCA8vJyWCwWTE9Pw2g0Ym5uDo2NjTh48CB27NiBkpISjI+PY2VlBb29vdixYwd8Ph/1yLBYLDAYDIjH44jFYhRasdvtSCQS1Jc3GAwiEonA6/XSYBWS8MftdiMYDNLAE+KtAazVRjSZTCgtLUUwGEQ4HKZCdnl5GUajEb29vXj8+DEqKioQi8Xw8OFDqrl7PB4sLy/DbrfDaDSuC7FOJBJIp9O0ejfBx8mhHdGQE4kELSqr1+vx+PFj6PV63L17l2bye+2118AwDPUxP3LkCHQ63TqPFfLu2fOAK1DVmsebDWfyKUtC12wHmFWKshbOQmYE3+9bBWewNVwlh2nce/l+E2pjs166WB9Cmr3QdePj47QIrMFgwMjICNxuN54+fQqDwYCysjJ6WPWb3/wGXq8X09PTMJvN+N3vfoeJiQl0d3ejoaEBo6OjOHHiBD2Iczgc1AuCZFEjngs+nw8rKyuYmJjArVu3oNfr0dfXR/nu6OigWmJZWRlMJhP279+Pa9eu0fSWs7OzNPjDaDRSwUz8nn//+99j165d9HCOVGohGi/xUiGJfxiGoYeTxOXPYDBgaWkJiUQCFosFFouF+j8DwOzsLGpqarCwsICmpibcvXsX3d3d2LNnD80CaLVaqRfH+fPnaQ3EmZkZ6mmi1Wrh8/lgt9vpYSZ5nuHhYdjtdpqbY/fu3RgYGMDt27fR2NiIq1ev4t69exgZGcH58+eRTCbhdrvR3t7+hYKhQq6tQvNFjUNwqcM3qTbkeF4JORXwySKpPrPxzFJ73VNe+Q4E2aT0IErI5N8qvFnpIQbXxFMjiCQXksO/1AGuEMXjcQSDQWg0GlitVnR1daGqqgpzc3M0UGV5eRnz8/NUIN69exc+nw/79++HxWKhMAdxBSORacSsTiQSOH36NOrr69HS0oJoNIpHjx5RM35gYACjo6N44403YDabMTw8jMLCQhQUFNBwaKPRiHg8Dp/Ph8rKSiQSCTAMQ0PIo9EodUNLJBIYHh5GeXk5zGYzDSIxm81Ip9NgGGZdNere3l5YrVbU19cDABYXF8EwDJxOJzKZtVBvk8mESCSCcDiM7u5uHDx4ECaTCUNDQ/B4PMhkMpibm8PQ0BB27twJu92Oubk5nDlzBqOjozh+/DhCoRBeeeUVMMwa9nz79m0cPHiQCuORkREayEIy29ntdsTjcWQya9GMBNIggS7RaBR6vR4/+MEPkEgk8M///M8IBoNobW2F2WxWdd2JaacbIdyF+snmUFINWFXus3B5zEV+qiqchXZI9u+boWGyByjbl6kmr7m0k8lkZPlkimkoQvcQIUAywpGDskAggPLy8nVubl1dXdixYwfVjFOpFCwWC+bm5mCz2VBQUIBoNAqbzUb5SCQSmJmZgcPhgN/vp4VZP/vsM7z88suwWCz47LPPMD09jZdeegmFhYVgGAaBQAAOhwPBYJC6tpFKHjqdjlY/IZABcVsjdQMzmQymp6cRiURQVVVFseSlpSUUFxdTCIRU0dZqtUgkEpicnERdXR2AtflAIgRTqRQSiQSsVisePHiA1tZWWvH81q1beOaZZ+D3+9HT04PGxkaamnV2dpYmtR8fH6d1CIPBIHQ6HWpqavD48WPk5+djenqahoQ/ffoUnZ2d8Hg8+OCDDzA1NYXvf//76OnpQUFBAaqqqmjI+8zMDGKxGDKZDK1VyC4uICZElQgcvjnFnXdiXhR898ohIcHK55Uhxr+SftWUUUIeJXzjxO03q4zQQqq9ENbDhhikBlMMOpBLSg4n2PyQf3LblktyMDE593M3HPb/SjRncq3ZbMbc3Bz0ej3m5+dx5swZBAIB3L59G+l0mpaYMplMaG1tpcl1XC4XLdEUi8Wo+UwOwhKJBK1GUl5eThPrj42N4cKFC4hGo3Q+HDt2DMPDw1QrJCWegsEgbDYb5ufnkclkYDabUVxcTDHhpaUlmp8iGAxSqIGELBsMBni9XpqFr7S0FKFQCNPT03C5XPSAkrjZmc1mVFZWAgCWl5dpWlFiPZCIx/b29nX4Nkk8RCCKQCCA+fl5AKCJh44cOYKTJ0/S3CQkGdTPf/5z3L17F3/6059QVlYGh8OB2dlZdHZ24sMPP8TNmzcRj8cRj8cxODiI8+fPo7e3l85T4qIXi8XQ2tqKiooKCtuw37UQdKFkbSnVPsX6zEXwcZUV9t9C/8T65Vv33La513PvFeJTqC/271y+2PfldCAoJEj5tDkhXCjXPqVI7iZAvuMO1kZgTLk+O3fCSWkrYn06nU4Eg0GMjY3h8OHDcLvdaGlpQW9vL81sRvogpZrm5uZQWFiISCRC81/odDro9XqYzWYYjUaqYS8tLVGviosXL2JychLf/OY3YTAYMDs7ix/96EdobW2F1WpFYWEhjEYj/H4/dDodgsEgFXwmkwkjIyMA1jYBksyfRMmR0lHz8/MwGAyw2WzQaDRUc0+n0/QQj7imBQKBdZo+EdgkepH4YxsMBqRSKUxNTdGkUQBooiGz2QyPx4PKykqqtZKkUMT3+d1336VFAd5++204nU58//vfB8MweO2116jrIskUOD8/jyNHjtAK3bFYDDt27MD+/ftpxF8wGER5eTnKy8tpEiMuqakFsued0GF4rsJXDg9cTVgMhpTbntyNhE82qCkj2PepljJU6CH4Xuh2JSGTiZDacIdaJLTryyGGWXOv83q9iMViMJlMmJ+fh9VqRX9/Pw1R7uvrw8jICKanp+H1eqmvrslkop8DgQAVpER7NJlMuHLlCvr7+7F7926MjIzA4/EgHA7j+vXr+O53v4vq6mqan5lUQCHFVokrHoE32IVIia8xsFZzj2EYataTwBQSzdjf34+6ujr6PKR+IQCaT5qMB3m/RBsncMm1a9dQVVVFBSHRaklQCTkwzM/Px+zsLK5fv47V1VUMDw/jxRdfpBWzp6am8N3vfhcAKKZOMgO63W788pe/RDQaxf79+2G1WvHhhx+ivb2duukRX3S3203xZ6l3vBHEJyS3ioQUlI1eq0Jtq3GYmpW3htRv3JcmtMuqQWprBVIavthuyb1fLqQi9Lcc4lscfM8gpCGQ74gP8ezsLJxOJ9xuNyYnJ5FOp7G0tASPx4OqqirEYjEUFRWtK/tEDqxIYh29Xo/r16+jpKQEfX19MBqNOHnyJGpqanD06FHcu3cP09PTtIIKKVeVyWRw+/Zt6HQ66p9L/hENdHZ2FhaLhdYVZJi1wJbi4mLk5eXROoEEqiBjUVhYCI1Gg66uLpSUlCCVSmF4eBh37txBe3s7xZ7ZRDYBAhUQzZiEdpM8IWwXPQK12O12WCwW3L9/H4cPH0YqlUJRURGuXr2KL3/5yzS7HYn0I4mo3n//fbz66qu4c+cO6uvrMTs7C5fLhcbGRng8Hrjd7nX5QqS0Nqk5xU5CJURS/XA1V7l9ZzPf5WiyQtdtplKlhqK77kCQO7iA8GkpnyAQwj7lwB0bNXByNEgpjTmXvoVgB7l8sQuUSvXD/TsbfJyk0RwaGkJlZSWMRiOuXLlCcx739PTAaDTSjHSk0kl+fj5mZmYwPT1NC7ZevnwZbW1tOHHiBIUKiBvZj3/8Y/zgBz+g+TDIJsBOvE+EMnHJW15epqWjHjx4gJKSErhcLno4xn52Mh4kGRIZj0QigVgshg8//BANDQ1oa2uDXq9Hf38/GhoaaIpN0hapmhIMBqnWq9VqqQa/tLQEh8NBse+JiQl0dHQAABWwxMd7YGAALS0tNLCEbCQrKytYWlqiz+Lz+WhIvN1up/7i5BmEFIBs15CcuSK1XqUOCbMlJdowlzelh5Vq8CvGvxRxeaaas9DOKPQwUtiLkKDj7sJytUy1SYwHObzIeYm5mjUbdb3YfcQ7wWQyUUzW7/cjkUigqakJ4XAYPT090Ol0cDqdOHPmDILBIPWgGB4eht/vx7179/C1r30Ns7OzaGlpWYfxkiCS0dFRAKAC3mq1rgswyWTWcnGQv0lODKPRCJfLRQ/QAFDNlTwXMfUjkQhCoRBMJhOtZK3ValFfX09zU5DsdOy5mU6nab4NkuaUbBBFRUVUYBIoiODqpaWlWFlZQTqdRkVFBcbHx9d5thB/aa1WS321zWYznE4nPch0Op3Iz8+nuDp7XvLNWzHLNBeBze5T6LBf7L6NULiUWLVCa1xorNjXbaSWTTIaChHlNZFIZPhOYvlOFYV2JqEXJ7SDqq2hipHQKTPf4Avt/uzfs3l52WqxfPwrpXQ6TbUuvvb4NlRgzdydmZlBPB6H2WymsIfRaMTw8DBu376Nv/qrv8Inn3yC119/HXfv3kVNTQ3efPNNxONxVFZW0hSXJJCEmPGZTAY6nQ7nz5/H7OwsXn31VdhsNmi1WkSjUUSjUczMzKCpqWmdxki0bABYWFigGivhe25uDi6XC729vbSGIMmtQdzUAFBvEoJnk00gnU7jyZMn2L17Nxhm7QCUHfocj8fpoWE0GsXU1BQaGxvBMGtuiSsrK9SHmuQSuXfvHkpKShAMBlFcXCx6eMdHuW68XE07136FZIXawpgrW/jkiRSv7HakvtsoEnNIELJ46TVy/ZzlNCbHNJJqQylJCT6lPImZUWIb1UZRLsJZanMkJKRxAUAsFsPExASmp6exc+dOJJNJGjJtNBpx48YN6HQ6tLW14ac//Sm+973vYW5uDg8ePEB1dTW8Xi+0Wi2sVivC4TAV0iaTCaOjo3j48CHa2tpgt9upsNVoNNS093g8tK9wOAydTgez2YylpSWagpQkbJqfn0csFkNxcTHNAa3VahGJRDA+Po7W1lba3+rqKoVfCOxAhDQ7/3MoFKK5O7hKRTKZhE6no26DDMPQnBharRaLi4vQaDTrnisbEhOUGzH3pOa1HKghGwVMTGHi8ibV9mYKYDEe2J+ltHUuaeRcxKdJ8zHBNSO4/9jXCA2wUmGUjfCSMn+ETDm+77d6AoiRlAksZd4xDAOz2Yz6+nrs3bsXZrOZVu0giXh6e3tx4MABWvGaeDbU1dWhqqoKer0ev//972nEYCgUQjQaxdWrVzE0NITW1laUlJTA7XbTjHek7uHKygo0Gg1Nqk/8ixmGobg0KUul0WhQWFhIq36k02kkEgkquFtaWsAwDJqamgCsuaERDZ54bTDMWsWU5eVlOk4Gg4FmmWOPI0lfSgTu8PAwZmdnaSANAApPMAyzznqR+97E3g/3/XLfW7YkZBGzLRR2P2LwZTZ9S5GUYFbbKle7HUUYdDYRgnIgDiFtTG1hJvXQYljZRu2uapt3avWbLV/sd0ryCbMrmESjUZqFLhAIYHp6GiUlJRgaGkJ5eTkWFhawurqKvLw8pFIpmuMik8lgaGiIlmYidQjZQg8A7auiooJqzLFYjOZUJvmV2QIkkUhgYmICVVVVVDCSNKEkMf/8/DyKioqoxwm5l0RMEiLQEBkLMo4kqVJBQQHNJ02gEqGNkf2d1N9ySejeXCExIU2Y+5lYUxtBfP2y/xZS7tQUqpsJSa6bN3yYs1gHUpgP3+DwQQAbDWeI8S/2TFI8bba5lOsC20giYxGNRjExMUErVicSCRoWnp+fj/HxcXg8HszPzyMYDKKmpmadn3FBQQFWV1dhMpkQDoeRyWSQn5+P/v5+FBcXUzyaUCgUQkFBAYUi2H7Kmcyfk/JnMhncvHkTzc3N9EAvPz+fVnFJpVIoLCykmwLwZ9cyhmGoH/XS0hJGRkZQVlaGzz77DMePH4dOp4PNZqMVv41GI4qLi3mtMTGclm885Y57tu9LLklZudw2lUB9Qho6X/tS94tdz6cwbtYa5vISCAQEc2sTWiecc82tIUeYKb1HqJ1ctD6+/pVo/VtF21k4c4lgtgAwNTVFM7vNzMzA6XRSdzySOpNMVuIdsrKygv7+frS0tMDn88HtdiMcDqOoqAjAmgabTCZhNpupxkq0YKKxEi2ORAc6nU7MzMxQjwq32w1g7cR8amoKTqeT1gEktLy8TMPIiWvdwMAAysvLYbPZ4PP5UFpaSp+ZhIwT4hMCUhZoLiSkcGQ7dzZToGUrnPnaENo82NdtJimCMHieIWvhLPQC2b9z29nOgwNIe3Jsd/43k+QsKoL5MgwDo9FIk/rPzMygpqYGoVCIpsusra1dp3UbDAYsLCzQ+oQAaMQeKQUFrEEadrsdwWCQut/Nz8/D5XJhcXGRFgWoqKhYpw2TsGuiJS8sLKCwsJAe7I2OjtLK3ux8FUQYMwwDn8+HsrIyKsCFcFcxDVFsnomNsRxzPtv5z8eLUB+bRXK1cjEhvd3XL5e/7I6PRRon/whj3IOEvwTie4nZvFg+E/cvkbJ9doPBQNN/ajQaGrFXUFCAQCCApaUlMAyDiooKeh+p/0e0WZKUnswpkhQfAM35DPwZGiFpS41GIz2cI1VUFhcXqYZrsViQTCYxPj6+riIJOWSsqqqiyY/IdyR3NNt3+vLly5KCmf0/dzyFIDa+3/iuYX+X6zwja1VozarRRzb8cHkQu17o/u2+Bvn4y1o4Cw0E32CyX2ouplauxBaWfP/4FlIuxG1PDg7H5i9XUmtCEuEjJTiE+iOCmcAXpHwUSeM5OjqKVCqFxcVFeiAIrNXgczqdtFKI0WgEwzA0QT2XjEYjdDodDesmYeBEyyZFagHgt7/9LVZWVmjeZ4PBgEgksu755ubm8N577617XnKwaTab4XA4cOjQIUnBvM5UZWl/uawJ7tzaCAWIzd92ULKkNg+A3/OK3JsLqbUeheYK7/VisIbcBxIaADXwqlywMzVxvs3YgbnPutGLQcnBTTa/c7+fmppCaWkp7ZNU0Y5EIigoKEAqlaJVsk0m07pNMxKJrBPKXE1U6FmWl5eh1+thNBqpBh6Px2kZK41GQ6MO2RQIBGiSIYZh8OTJE7S0tKx7NoJzc8eDjz/umKiBN0thw9ng0FK4rdA1G0FKDwO593LHfTvAGlKbhWzMWYlwlpoIakxGqf7lCjc+3rgkh1clz5PNJiN3THMloffH5oM7xnI0kmx445snQniq3MXn8/lQUFCAcDiMwsJC/OY3v8HevXths9lQWFhIo/6I4CaVrVdXV+H3+yk0QvJfcDPB8c0lOdgnW4NWugEKPbvcd8PX/nYz/bkbGfn8l0JyNkKx96qKcOZrXAlepibxwRNCGoZS3jZ7AqthuSh5h9wFLiQk5bady8ah5jhnMhmae5l4e5Aiq1arFYFAAC6XC8Cf8x4QP2yGYejv7PEhWLTUmHH5UPvZ2MRtV+n4y+VLqdaaLUnJED4rZDsJ8WzW3rrvuMJZKfaaDaazVWaRkPbHvj6XCaqWJsvuIxcSsiiyuS8b7U4MVhJqg3tftlaNED/ke/LP7/ejuLiYFlX905/+hKqqKni93nWaLTsIRcyKUHNui1kpUhtyLnNRaGPejrCAmPKw1ZSr5ZKT5iw0OcUGTq3dWW4bXH7Fvt9upJZwzuY+Pj7EhLXYJi1ktYjNFaWCQegaLp/sBP3kPi4PxBMjHA7D6XTmZG2pQdkKfyXrd6ueTYyy5UkOLJYLkSAnOXzIISG+mEQikRFqSInmzL5nu5gZUsI5G/64loWc+7LROvn4z7Z9JW1IaYV8pqQcXuVomEJty2lXqUAXG7OVlZV1OZTl8EDalMOrXH7ENkk5pCasJAe2UZs2CpbJlZTMTT7iU2xU15xJw3wMi5nF2ZqqSknu4AjxtBkkpXFmI3jl3CNl4XC/FyKx69mbGF8/YrCS2HzKVujyXcv3HFzi0/w3a77k0k+uGza7/62ADMRgMTEBt9G8KtmMpUhMLioWzkLa50ZhQblohUoHh/tdri9WrlYpRFLjL1cIy2kvW96E7pejSUvdr8bCYhjmC6WY5L5fPshjM0nImpHLj9C8FuuPrw0570gN642vfS5/SqAaPj7Vmldy5w+XNyU8MPF4PEMuzsa8VjLRlUAAarxsoU1BjpDaTO1IiJTCSnyaBPdaOdpINs8tpAkruV5p+1KkZPPiW9BbTbkKlO0KC8glOUqd2LzbbBiGS7nKTQ25kK8xtuYgRuz7pRakXI1KrcUh9WLIpiTGgxRPfG0o4UHp9WICmashsv+x7+X+L9U292/yLoXGRIlGL4dyWWBylQJCciCOjRLe3PfC1fqy6ZfvHXPnxXYjuUoi33vjm+8bRblanmLrSDRlqJiWJYdJIbVeDqmtObP7V4pl5UJqwjJC2jD7ejF+1dQipEzFrYYE+PpVAutsteYs12SWet98bQpBj9tJUIspQuT37cQvl9TYRDVSL5mrifH9LiaY1dhZNoK42gMfpidnw5EiNfnPRRvlPl82fAlp0mIbttiGmC0fcomrnbD5krpnM4it3fFpzHLu5SM+TYyvXfb4iP2+mSQFBci9djuTkBzlEnX4FNMq+MwqJabiRpuk2dwrF49Vkx8lJHfisc0iORNb7J0oEQh8EIrce8W+TyaTihadWLtS849vsW+mNiZmBSmFYrjfi1kyUvcq4UFtkrPpZGM1bCeSDdkIeWso2cHY1wvtbmztdLNJSsNj/7adTD0p+EXoevK7EB63GbSVi0NobJQ8uxL++dpWMtfEeMtlDip9B2rMDTHsXggy5Fuf2ShKas9xNSFJOe19AdbItmM5+J2QCbUZxLfL8r08LqzBpu2IafGNI/c5uVWe5WxOG0Gb0RcfNCB2nRiR1KLZ8iD3N6F3qLRtMZKCmfh+yxXS4LOwxXjiXpcNZCh2T67zT+35y92YpKwUWcKZrxGxhc4Vglx8dyNJ7IH5fpO72yq1JHIlOROD72ULbUDcz1ITWw2Si63JJbEFT55HLmbLR9xNTSlx57hcqIf97jZr8+TjkTt/1BKWamnkcuUJ3xrYbjCHHHgmK1iD3rwBpphalC3/ufCupmYqtx221i+XdzXej1Qb2WpeuWhsYrwofd5c36MQpCQH91WDuP2I4dt89271+iV8CJFS2bPV5wlySBDWkLvbSzEjpU2LXSNGmzWwfJqXXH43c3cW0hC5cA6X+K6XQ0oWt1ISwl6F5qTSucodq416T0osQy6+muv6ECP25sDV0vn+bUfBzNWUtwJPz5X45rGYBSCqOYvt9FxtQKlWkOskkDJZlGie3Hu2w4uU0ho2ynxUi5QsHrnaPvceJZDURmnOSvjYTBKaH9mu0a3QPMWswe2yiQiR2BmC3HegCGQTA7Slvue7LheS0hDlkJRg5moUubSfze9q9UNoMzFNOcTVhKQ0W+67Uao585FcC0PoGinFgKsdb+X4kzGTi8WKndFsBvHNh60ew1xIDB/nvT4XzJnd4UZqD5uBGW7kLpzt4Uq2fZH7t1KzkIv5c+cNl2++v9nXK+lDCeWCmW+Hsxi1lJatIjU0z60kNeSPYm8NKZKjASklteAPLr7Dp0Xw8Z8NRMImNXd6vufhfhbjZbsQW5CxMVChxcf+XcmzxeNxwf7ZJMeNTq6WKaTdsZ9zq0kKt8/2bEINnsR+k+Jju4yvGiRLOMsxM/nA7e0gIMRMIj4tTInZJ9ZXLtfIuZ87thuxKW4UseeH2GJiPw9XSPO9Rz4SqljBvUeOG50SeIRvDm21NcMmIYhSaO5vBt9S2rKYAsKeE9tljHMlxY6dSnfczaBsIQ85B57ZtC9GarXFFVB8GuV2FdJcASs0p7jfb5WVILZ5czcaKX6UbuBbBU9sFwHHhYo2QwGSSxs9RrKFM3dw5GjTm0VKXoaQABBrL1f8V00SEgx812yXBSZFQgc/24WErC2pTYOP2DCOUF9qbuB8/QtdJ4b1bxXxWSRyxngzKFtcmTtfhPiVLZyFTqXFFtZmLjClL4S9QPi0UL7Pm3WoJ0W5QC/Z9sf3Wc22xbRTIV62grLBjYWekZCY9ZaNhar0t+0wplLfs60tqWfIdmzUIr73mc0YK4I1xMw5ORpdriS2MKQGna3582maQmbTVpwMS+GX3M1vo/lS08yWO0+2UnNW+5xBioSeX0jgqDU2YlCBnDm1kRo+93u2likF4YnxtdkbkZRVKPYu1wlnKcbFGhXSQqVIyWDxHQpI8cn3nZhQE9MSN0NgyMWOhbSqbDevXEmpqckWDHzvY6u1OSES2zjJ70rXAB+JwW9y1oAcEjpYlcv7RswpqfUnJIOkIILtQHwyUwzi0ohpjWzie3C+geQW05R6gWq/YCmXKD6hwLegsrEENmLB8LXLh/+Tf0ITVGwSqEFy3rOQhrbdNGc2SeGDQnNno8ebj7LpTwg73yqSgkrZ1/Ct5Y2mjRgbQVgnHo9nhMxmJQyxdwEl128EyX1RSvvfrEMSIf65QplPALC/26pFJrXJk2u2q5YjxT93/KWUm60ypaUoW2hgM0jpM/DNeSmZJGcDzWaTFVqTQucJQvxppA4gsjGdxX7fKsGRrXaw3SasGLTEnUhqmdhqkJx5xSWlZvZmkBAMwJ7XfFo2+11sNewkd+yleFaTxKxtMX6565PLr5gSIOeZ1FD0+OALOe9DwzWJuZNMSCDwLTYxwJ59zVYQ9/nkTDi1tbtc2uLbVJQsuM0UcEIbulItZCvN7Gzxbz6Bxgd5iPXHvUcJr2J8sT+L3cO3jjd6HQhBXkK8cT/z3SOHZ7WeS8774rOwxOTQugNBsZuEpD63YTW0482CO4SEBRfTyrZChlT/SolvUsrZJPm0ODX4ESKhdrMR0NuB+ISrkFAQEmxKBajSU1lzYgAAA3pJREFUDUGM+OaKXOhMDmyjlB+5Git3nvIpi3y0lUqLnI2Xy5+g5qykMzmwhZTGrYT4BlkNwS2E9XCFMqFcK2RkS3K1KSXQE/t6uRqMVF9qXLtZpFTA8L0DPhhD6Fo2SY1HLpCbnOv4eCbfC/HKtablkJprVOwzl7KBX9Seo3IVQDmkkWJO6WLlg0jkEluwC030bB+UOxnZfXH7Z1+fy86a64vPBnsTWoBySU1Ng/0epRbYRmnTQlpLrlog3/jyvS85mpTcPqXayfaZhKwBcq0aayFbEnpGMW2U728h2uhnyqV9jdiLEsN82IJNjkYn16zj087F+JFL3JcqpQ2o8dLUfvFi7allWWzEZFU6V9Qkpf0pWdTc+SpkMfJBf3L7UEJivCtdi7nepxYJwRt8xJYR2w06E5v/qVSK9x6NkDAWMnXE8ETudUrMDLHrhEzJbCYLW2sWo1zMkY2gjbAm+EjpmMrRAvmEE5f3rRrrbAUn956NEFxqtsm3YUjBjttp/rNJbD4R2kwIRqp9Piud/Vmn0/Heu85bQ0igSmnKcoSlXLxNzvd8wloOKTV1+AY1F8pFa+RunOzvchHam6VpC2GzQgoBnwDfCMp27vA9A/u9yBF+m0l8/HPxZCEBLaZkbYU2DSjH8+W2ozbxzWHZa0ZuJRQhLFjoPrV3faXCm32f1Ivk45mvTz6MWsySYAsjvuvEFoQQsd8Dl5eNJKH+5PAvNG5KeFZyfa6mrZggEuJjI545W5Lin/03uV5tvnJ5B0JrRe49SmEbtQW0mLxRwievG4LQguPTnoW0aCmSwrK4vwtp7plMBqurq7zaP1s4ikE2fDzzTS4lL5HNs5ArntL2uJ/VwpnlkJApKTZ2QvfyXSPVr5I5tRGblhzLj2tBSo3LZhKfEJKyVHIRWmLa9ka0ly3UuVGas9TalLN5SXprsBvjm/TZmtRiQo9Py5DzYvj6YAtuvj64fHAnqdj4yIUNxCAJuVoLdxFthIWSDQktGiGhrZRfpdo193Ou5rhSaEtIWdlqWEPuOKgpoNUivvWzWZBRLnCJmMUsp/0veGtIdcb+m4/U0ObEtHKA3+9YzuTjgxm4n7lCk0+Ac6/l60uIJ+6OudXCdSOI7/1JaQqbLQSUClu5AlYJ/CaXlIyNlBIjdv12mItiMJmQUBOaW2rMqVytBy4pGeP/D2cY5YjQkZUQAAAAAElFTkSuQmCC\";\n 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setTimeout(function(){\n      // we need to call the function, making sure d3 is defined appropriately\n      if(typeof define === \"function\" && define.amd){\n        // If require.js is available, use it to load d3\n        require.config({paths: {d3: \"http://d3js.org/d3.v3.min\"}});\n        require([\"d3\"], create_fig3792f6dc886d4839b436326e2f7b7d2e);\n      }else if(typeof d3 === \"undefined\"){\n        // No require.js: dynamically load d3\n        var s = document.createElement('script');\n        s.src = \"http://d3js.org/d3.v3.min.js\";\n        s.async = true;\n        s.onreadystatechange = s.onload = s.onerror = function() {\n           if(typeof d3 === \"undefined\"){\n              document.getElementById(\"figure3792f6dc886d4839b436326e2f7b7d2e\").innerHTML =\n                    \"<p style='color:red;'>(d3 failed to load)</p>\";\n           }else{\n              create_fig3792f6dc886d4839b436326e2f7b7d2e(d3);\n           }\n        };\n        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       "metadata": {},
       "output_type": "display_data",
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ZgFNTUxQVFbGwsIDD4aC/v5+8vDxaWlrIz8+np6eHf/fv/t11aSTSZOMtvVQJ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\nMjgcDhw/fhw1NTVYsmQJxsbGcOHCBTidTuzevRszMzMIBAJQqVTUoybL1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       "text": "<matplotlib.figure.Figure at 0x107f8cc50>"
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Stage 2:\n\n* Compute frequencies and thetas corresponding\nto number of columns in image and number of angles requested"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "angle = 10\nfreqs = tx.get_freqs(img)\nthetas = np.deg2rad(np.arange(0, 180, angle))\n# kernels, kernel_freqs = tx.make_filter_bank(freqs, thetas)\n\nnum_rows = size(freqs)\nnum_cols = size(thetas)\nprint 'num_rows = ', num_rows, 'num_cols = ', num_cols\nprint 7*18",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "num_rows =  7 num_cols =  18\n126\n"
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Stage 3:\n\n* For each theta (angle) and frequency, compute corresponding gabor kernel\n* Convolute kernel with image\n* Show a sub-plot of all combinations\n* Stack all combinations into a 3D array of images"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fig = pylab.figure()\nnum_rows = size(freqs)\nnum_cols = size(thetas)\nlen_x, len_y = img.shape\nmy_output = [[[[]]*len_y]*len_x]*num_rows*num_cols\n\nidx = 1\nfor frequency in freqs:\n    sigma_x, sigma_y = tx._compute_sigmas(frequency)\n    \n    for theta in thetas:\n        kernel = np.real(tx.gabor_kernel(frequency, theta, bandwidth=1))\n        \"\"\"\"pylab.imshow(np.real(kernel))\n        pylab.show()\"\"\"\n        \n        conv_img = tx.fftconvolve(img, kernel, 'same')\n        \n        subp = fig.add_subplot(num_rows, num_cols, idx)\n        pylab.axis('off')\n\n        pylab.imshow(conv_img)\n        \n        my_output[idx-1] = conv_img\n        \n        idx = idx + 1\n        ",
     "language": "python",
     "metadata": {},
     "outputs": [
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10.0px;\n    fill: black;\n    stroke: none;\n}\n\n\n\ndiv#figure80ac6d004af24339afc2727cfe5f8c9e\n.axis line, .axis path {\n    shape-rendering: crispEdges;\n    stroke: black;\n    fill: none;\n}\n\ndiv#figure80ac6d004af24339afc2727cfe5f8c9e\n.axis text {\n    font-family: sans-serif;\n    font-size: 10.0px;\n    fill: black;\n    stroke: none;\n}\n\n\n\ndiv#figure80ac6d004af24339afc2727cfe5f8c9e\n.axes126\nimage.image0216fe726e9241ddba2092cdbd4406de {\n   opacity: None;\n}\n\n\n\ndiv#figure80ac6d004af24339afc2727cfe5f8c9e\ntext.textd36a733671e94e02a98b5655d493bd1f {\n   font-size : 10.0px;\n   fill : #000000;\n   opacity : 1;\n}\n\n\n\ndiv#figure80ac6d004af24339afc2727cfe5f8c9e\ntext.text626f48f4f56f4d8aa146aa0fdbb38923 {\n   font-size : 10.0px;\n   fill : #000000;\n   opacity : 1;\n}\n\n\n\ndiv#figure80ac6d004af24339afc2727cfe5f8c9e\ntext.text1bea3f6c6f5b4a7097088f08a2495ee7 {\n   font-size : 12.0px;\n   fill : #000000;\n   opacity : 1;\n}\n\n\n\n\n\n    </style>\n\n\n\n    <div id='figure80ac6d004af24339afc2727cfe5f8c9e'>\n    </div>\n    <script type=\"text/javascript\">\n    var create_fig80ac6d004af24339afc2727cfe5f8c9e = function(d3, undefined){\n\n\n    function Figure(figid, width, height){\n      this.figid = figid;\n      this.root = d3.select(figid);\n      this.width = width;\n      this.height = height;\n      this.axes = [];\n    }\n\n    Figure.prototype.draw = function(){\n      this.canvas = this.root.append('svg:svg')\n                                 .attr('class', 'figure')\n                                 .attr('width', this.width)\n                                 .attr('height', this.height);\n      for (var i=0; i<this.axes.length; i++){\n        this.axes[i].draw();\n      }\n    };\n\n    Figure.prototype.reset = function(duration){\n      duration = (typeof duration !== 'undefined') ? duration : 750;\n      for (var i=0; i<this.axes.length; i++){\n        this.axes[i].prep_reset();\n      }\n\n      var transition = function(t){\n        for (var i=0; i<this.axes.length; i++){\n          this.axes[i].xdom(this.axes[i].xdom.domain(this.axes[i].ix(t)));\n          this.axes[i].ydom(this.axes[i].ydom.domain(this.axes[i].iy(t)));\n\n          // don't propagate: this will be done as part of the loop.\n          this.axes[i].zoomed(false);\n        }\n      }.bind(this)\n\n      d3.transition().duration(duration)\n                     .tween(\"zoom\", function(){return transition;});\n\n      for (var i=0; i<this.axes.length; i++){\n        this.axes[i].finalize_reset();\n      }\n    };\n\n\n\n    function Axes(fig, bbox,\n                  xlim, ylim,\n                  xscale, yscale,\n                  xdomain, ydomain,\n                  xgridOn, ygridOn,\n                  axclass, clipid,\n                  zoomable){\n      this.axnum = fig.axes.length;\n      fig.axes.push(this);\n\n      this.fig = fig;\n      this.bbox = bbox;\n      this.xlim = xlim;\n      this.ylim = ylim;\n      this.xdomain = xdomain;\n      this.ydomain = ydomain;\n      this.xscale = xscale;\n      this.yscale = yscale;\n      this.xgridOn = xgridOn;\n      this.ygridOn = ygridOn;\n      this.axclass = (typeof axclass !== 'undefined') ? axclass : \"axes\";\n      this.clipid = (typeof clipid != 'undefined') ? clipid : \"clip\";\n      this.zoomable = zoomable;\n\n      this.sharex = [];\n      this.sharey = [];\n      this.elements = [];\n\n      this.position = [this.bbox[0] * this.fig.width,\n                       (1 - this.bbox[1] - this.bbox[3]) * this.fig.height];\n      this.width = bbox[2] * this.fig.width;\n      this.height = bbox[3] * this.fig.height;\n\n      if(this.xscale === 'log'){\n        this.xdom = d3.scale.log();\n      }else if(this.xscale === 'date'){\n        this.xdom = d3.time.scale();\n      }else{\n        this.xdom = d3.scale.linear();\n      }\n\n      if(this.yscale === 'log'){\n        this.ydom = d3.scale.log();\n      }else if(this.yscale === 'date'){\n        this.ydom = d3.time.scale();\n      }else{\n        this.ydom = d3.scale.linear();\n      }\n\n      this.xdom.domain(this.xdomain)\n            .range([0, this.width]);\n\n      this.ydom.domain(this.ydomain)\n            .range([this.height, 0]);\n\n      if(this.xscale === 'date'){\n         this.xmap = d3.time.scale()\n                           .domain(this.xdomain)\n                           .range(this.xlim);\n         this.x = function(x){return this.xdom(this.xmap.invert(x));}\n      }else if(this.xscale === 'log'){\n         this.xmap = this.xdom;\n         this.x = this.xdom;\n      }else{\n         this.xmap = this.xdom;\n         this.x = this.xdom;\n      }\n\n      if(this.yscale === 'date'){\n         this.ymap = d3.time.scale()\n                              .domain(this.ydomain)\n                              .range(this.ylim);\n         this.y = function(y){return this.ydom(this.ymap.invert(y));}\n      }else if(this.xscale === 'log'){\n         this.ymap = this.ydom;\n         this.y = this.ydom;\n      }else{\n         this.ymap = this.ydom;\n         this.y = this.ydom;\n      }\n    }\n\n    Axes.prototype.draw = function(){\n      this.zoom = d3.behavior.zoom()\n                          .x(this.xdom)\n                          .y(this.ydom)\n                          .on(\"zoom\", this.zoomed.bind(this));\n\n      this.baseaxes = this.fig.canvas.append(\"g\")\n                             .attr('transform', 'translate('\n                                                 + this.position[0] + ','\n                                                 + this.position[1] + ')')\n                             .attr('width', this.width)\n                             .attr('height', this.height)\n                             .attr('class', \"baseaxes\");\n\n      if(this.zoomable){\n        this.baseaxes.call(this.zoom);\n      }\n\n      this.axesbg = this.baseaxes.append(\"svg:rect\")\n                             .attr(\"width\", this.width)\n                             .attr(\"height\", this.height)\n                             .attr(\"class\", \"axesbg\");\n\n      this.clip = this.baseaxes.append(\"svg:clipPath\")\n                          .attr(\"id\", this.clipid)\n                          .append(\"svg:rect\")\n                             .attr(\"x\", 0)\n                             .attr(\"y\", 0)\n                             .attr(\"width\", this.width)\n                             .attr(\"height\", this.height)\n\n      this.axes = this.baseaxes.append(\"g\")\n                           .attr(\"class\", this.axclass)\n                           .attr(\"clip-path\", \"url(#\" + this.clipid + \")\");\n\n      for(var i=0; i<this.elements.length; i++){\n        this.elements[i].draw();\n      }\n    };\n\n    Axes.prototype.zoomed = function(propagate){\n      // propagate is a boolean specifying whether to propagate movements\n      // to shared axes, specified by sharex and sharey.  Default is true.\n      propagate = (typeof propagate == 'undefined') ? true : propagate;\n\n      //console.log(this.zoom.translate());\n      //console.log(this.zoom.scale());\n      //console.log(this.zoom.x().domain());\n      //console.log(this.zoom.y().domain());\n\n      for(var i=0; i<this.elements.length; i++){\n        this.elements[i].zoomed();\n      }\n\n      if(propagate){\n        // update shared x axes\n        for(var i=0; i<this.sharex.length; i++){\n          this.sharex[i].zoom.x().domain(this.zoom.x().domain());\n          this.sharex[i].zoomed(false);\n        }\n        // update shared y axes\n        for(var i=0; i<this.sharey.length; i++){\n          this.sharey[i].zoom.y().domain(this.zoom.y().domain());\n          this.sharey[i].zoomed(false);\n        }\n      }\n    };\n\n    Axes.prototype.add_element = function(element){\n      this.elements.push(element);\n    };\n\n    Axes.prototype.prep_reset = function(){\n      // interpolate() does not work on dates, so we map dates to numbers,\n      // interpolate the numbers, and then invert the map.\n      // we use the same strategy for log, so the interpolation will be smooth.\n      // There probably is a cleaner approach...\n\n      if (this.xscale === 'date'){\n        var start = this.xdom.domain();\n        var end = this.xdomain;\n        var interp = d3.interpolate(\n                [this.xmap(start[0]), this.xmap(start[1])],\n                [this.xmap(end[0]), this.xmap(end[1])]);\n        this.ix = function(t){\n          return [this.xmap.invert(interp(t)[0]),\n                  this.xmap.invert(interp(t)[1])];\n        }\n      }else{\n        this.ix = d3.interpolate(this.xdom.domain(), this.xlim);\n      }\n\n      if (this.yscale === 'date'){\n        var start = this.ydom.domain();\n        var end = this.ydomain;\n        var interp = d3.interpolate(\n                [this.ymap(start[0]), this.ymap(start[1])],\n                [this.ymap(end[0]), this.ymap(end[1])]);\n        this.iy = function(t){\n          return [this.ymap.invert(interp(t)[0]),\n                  this.ymap.invert(interp(t)[1])];\n        }\n      }else{\n        this.iy = d3.interpolate(this.ydom.domain(), this.ylim);\n      }\n    }\n\n    Axes.prototype.finalize_reset = function(){\n      this.zoom.scale(1).translate([0, 0]);\n    }\n\n    Axes.prototype.reset = function(){\n      this.prep_reset();\n      d3.transition().duration(750).tween(\"zoom\", function() {\n        return function(t) {\n          this.zoom.x(this.xdom.domain(this.ix(t)))\n                   .y(this.ydom.domain(this.iy(t)));\n          this.zoomed();\n        };\n      });\n      this.finalize_reset();\n    };\n\n\n\n    function Axis(axes, position, nticks, tickvalues, tickformat){\n      this.axes = axes;\n      this.position = position;\n      this.nticks = nticks;\n      this.tickvalues = tickvalues;\n      this.tickformat = tickformat;\n      if (position == \"bottom\"){\n        this.transform = \"translate(0,\" + this.axes.height + \")\";\n        this.scale = this.axes.xdom;\n        this.class = \"x axis\";\n      }else if (position == \"top\"){\n        this.transform = \"translate(0,0)\"\n        this.scale = this.axes.xdom;\n        this.class = \"x axis\";\n      }else if (position == \"left\"){\n        this.transform = \"translate(0,0)\";\n        this.scale = this.axes.ydom;\n        this.class = \"y axis\";\n      }else{\n        this.transform = \"translate(\" + this.axes.width + \",0)\";\n        this.scale = this.axes.ydom;\n        this.class = \"y axis\";\n      }\n    }\n\n    Axis.prototype.draw = function(){\n      this.axis = d3.svg.axis()\n                          .scale(this.scale)\n                          .orient(this.position)\n                          .ticks(this.nticks)\n                          .tickValues(this.tickvalues)\n                          .tickFormat(this.tickformat);\n      this.elem = this.axes.baseaxes.append('g')\n                        .attr(\"transform\", this.transform)\n                        .attr(\"class\", this.class)\n                        .call(this.axis);\n    };\n\n    Axis.prototype.zoomed = function(){\n      this.elem.call(this.axis);\n    };\n\n\n\n    function Grid(axes, xy){\n      this.axes = axes;\n      this.class = xy + \" grid\"\n      if(xy == \"x\"){\n        this.transform = \"translate(0,\" + this.axes.height + \")\";\n        this.position = \"bottom\";\n        this.scale = this.axes.xdom;\n        this.tickSize = -this.axes.height;\n      }else{\n        this.transform = \"translate(0,0)\";\n        this.position = \"left\";\n        this.scale = this.axes.ydom;\n        this.tickSize = -this.axes.width;\n      }\n    }\n\n    Grid.prototype.draw = function(){\n      this.grid = d3.svg.axis()\n                          .scale(this.scale)\n                          .orient(this.position)\n                          .tickSize(this.tickSize, 0, 0)\n                          .tickFormat(\"\");\n      this.elem = this.axes.axes.append(\"g\")\n                          .attr(\"class\", this.class)\n                          .attr(\"transform\", this.transform)\n                          .call(this.grid);\n    };\n\n    Grid.prototype.zoomed = function(){\n      this.elem.call(this.grid);\n    };\n\n\n\n    // This function constructs a mapped SVG path\n    // from an input data array\n    var construct_SVG_path = function(data, xmap, ymap){\n       var result = \"\";\n       for (var i=0;i<data.length;i++){\n          result += data[i][0];\n          if(data[i][0] == 'Z'){\n            continue;\n          }\n          for (var j=0;j<data[i][1].length;j++){\n            if(j % 2 == 0){\n               result += \" \" + xmap(data[i][1][j]);\n            }else{\n               result += \" \" + ymap(data[i][1][j]);\n            }\n          }\n          result += \" \";\n       }\n       return result;\n     };\n\n\n      var figwidth = 6.0 * 80;\n      var figheight = 4.0 * 80;\n      var fig = new Figure(\"div#figure80ac6d004af24339afc2727cfe5f8c9e\",\n                           figwidth, figheight);\n\n\n\n    var ax1 = new Axes(fig, [0.125, 0.83388194761036405, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes1\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e1\", true);\n\n\n\n// Add an Axis element\nax1.add_element(new Axis(ax1, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax1.add_element(new Axis(ax1, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image23f7aef560674e12a0bb650da1bef069 = new function(){\n  this.ax = ax1;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image23f7aef560674e12a0bb650da1bef069\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax1.add_element(image23f7aef560674e12a0bb650da1bef069);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax2 = new Axes(fig, [0.16845794392523367, 0.83388194761036405, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes2\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e2\", true);\n\n\n\n// Add an Axis element\nax2.add_element(new Axis(ax2, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax2.add_element(new Axis(ax2, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image91a2afdd3cb44ba5b861c81dfc85470e = new function(){\n  this.ax = ax2;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image91a2afdd3cb44ba5b861c81dfc85470e\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax2.add_element(image91a2afdd3cb44ba5b861c81dfc85470e);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax3 = new Axes(fig, [0.2119158878504673, 0.83388194761036405, 0.036214953271028055, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes3\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e3\", true);\n\n\n\n// Add an Axis element\nax3.add_element(new Axis(ax3, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax3.add_element(new Axis(ax3, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image1e2f0e4c2f9f429a93ebc52951f296da = new function(){\n  this.ax = ax3;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image1e2f0e4c2f9f429a93ebc52951f296da\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax3.add_element(image1e2f0e4c2f9f429a93ebc52951f296da);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax4 = new Axes(fig, [0.25537383177570094, 0.83388194761036405, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes4\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e4\", true);\n\n\n\n// Add an Axis element\nax4.add_element(new Axis(ax4, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax4.add_element(new Axis(ax4, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image8998cf52f9e84b29a3dc3075640df5cc = new function(){\n  this.ax = ax4;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image8998cf52f9e84b29a3dc3075640df5cc\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax4.add_element(image8998cf52f9e84b29a3dc3075640df5cc);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax5 = new Axes(fig, [0.29883177570093455, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes5\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e5\", true);\n\n\n\n// Add an Axis element\nax5.add_element(new Axis(ax5, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax5.add_element(new Axis(ax5, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image30430b8a998f4bb3a84c27823ff6baab = new function(){\n  this.ax = ax5;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image30430b8a998f4bb3a84c27823ff6baab\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax5.add_element(image30430b8a998f4bb3a84c27823ff6baab);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax6 = new Axes(fig, [0.34228971962616828, 0.83388194761036405, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes6\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e6\", true);\n\n\n\n// Add an Axis element\nax6.add_element(new Axis(ax6, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax6.add_element(new Axis(ax6, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageebcd81ddd030411bac6eb56fcbaef3d3 = new function(){\n  this.ax = ax6;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageebcd81ddd030411bac6eb56fcbaef3d3\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax6.add_element(imageebcd81ddd030411bac6eb56fcbaef3d3);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax7 = new Axes(fig, [0.38574766355140189, 0.83388194761036405, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes7\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e7\", true);\n\n\n\n// Add an Axis element\nax7.add_element(new Axis(ax7, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax7.add_element(new Axis(ax7, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image716c80f0536d49928ae6675111a8eb99 = new function(){\n  this.ax = ax7;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image716c80f0536d49928ae6675111a8eb99\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax7.add_element(image716c80f0536d49928ae6675111a8eb99);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax8 = new Axes(fig, [0.4292056074766355, 0.83388194761036405, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes8\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e8\", true);\n\n\n\n// Add an Axis element\nax8.add_element(new Axis(ax8, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax8.add_element(new Axis(ax8, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagef4a8f4389f25419d8e0e817cf84f9d1d = new function(){\n  this.ax = ax8;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagef4a8f4389f25419d8e0e817cf84f9d1d\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax8.add_element(imagef4a8f4389f25419d8e0e817cf84f9d1d);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax9 = new Axes(fig, [0.47266355140186911, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes9\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e9\", true);\n\n\n\n// Add an Axis element\nax9.add_element(new Axis(ax9, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax9.add_element(new Axis(ax9, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image2057b7769c654bb4acab8f4718d984f8 = new function(){\n  this.ax = ax9;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax9.add_element(image2057b7769c654bb4acab8f4718d984f8);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax10 = new Axes(fig, [0.51612149532710272, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes10\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e10\", true);\n\n\n\n// Add an Axis element\nax10.add_element(new Axis(ax10, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax10.add_element(new Axis(ax10, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image21e3ed533b7240acb8588cd0f3a8c285 = new function(){\n  this.ax = ax10;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image21e3ed533b7240acb8588cd0f3a8c285\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax10.add_element(image21e3ed533b7240acb8588cd0f3a8c285);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax11 = new Axes(fig, [0.55957943925233633, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes11\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e11\", true);\n\n\n\n// Add an Axis element\nax11.add_element(new Axis(ax11, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax11.add_element(new Axis(ax11, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image68a07054b66b43d39c0f54d1a6d58886 = new function(){\n  this.ax = ax11;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image68a07054b66b43d39c0f54d1a6d58886\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax11.add_element(image68a07054b66b43d39c0f54d1a6d58886);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax12 = new Axes(fig, [0.60303738317756994, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes12\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e12\", true);\n\n\n\n// Add an Axis element\nax12.add_element(new Axis(ax12, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax12.add_element(new Axis(ax12, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image52328d3e85794042ad75091f2e61ea05 = new function(){\n  this.ax = ax12;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image52328d3e85794042ad75091f2e61ea05\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax12.add_element(image52328d3e85794042ad75091f2e61ea05);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax13 = new Axes(fig, [0.64649532710280366, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes13\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e13\", true);\n\n\n\n// Add an Axis element\nax13.add_element(new Axis(ax13, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax13.add_element(new Axis(ax13, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image39cf7e40ea7c4076b9f2af387db41ec1 = new function(){\n  this.ax = ax13;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image39cf7e40ea7c4076b9f2af387db41ec1\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax13.add_element(image39cf7e40ea7c4076b9f2af387db41ec1);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax14 = new Axes(fig, [0.68995327102803738, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes14\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e14\", true);\n\n\n\n// Add an Axis element\nax14.add_element(new Axis(ax14, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax14.add_element(new Axis(ax14, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageb59b8d77fef446d58c9d10d3994d5fd2 = new function(){\n  this.ax = ax14;\n  this.data = \"data:image/png;base64,\" + 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this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax14.add_element(imageb59b8d77fef446d58c9d10d3994d5fd2);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax15 = new Axes(fig, [0.73341121495327111, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes15\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e15\", true);\n\n\n\n// Add an Axis element\nax15.add_element(new Axis(ax15, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax15.add_element(new Axis(ax15, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image818948facded486e9ead3ee10508d4ff = new function(){\n  this.ax = ax15;\n  this.data = \"data:image/png;base64,\" + 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 this.class = \"image818948facded486e9ead3ee10508d4ff\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax15.add_element(image818948facded486e9ead3ee10508d4ff);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax16 = new Axes(fig, [0.77686915887850483, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes16\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e16\", true);\n\n\n\n// Add an Axis element\nax16.add_element(new Axis(ax16, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax16.add_element(new Axis(ax16, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image643ce91a8543457bad965e3fededb091 = new function(){\n  this.ax = ax16;\n  this.data = \"data:image/png;base64,\" + 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this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax16.add_element(image643ce91a8543457bad965e3fededb091);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax17 = new Axes(fig, [0.82032710280373855, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes17\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e17\", true);\n\n\n\n// Add an Axis element\nax17.add_element(new Axis(ax17, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax17.add_element(new Axis(ax17, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image5d4a10a9f66c4fb09944f964df38e744 = new function(){\n  this.ax = ax17;\n  this.data = \"data:image/png;base64,\" + 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this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax17.add_element(image5d4a10a9f66c4fb09944f964df38e744);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax18 = new Axes(fig, [0.86378504672897227, 0.83388194761036405, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes18\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e18\", true);\n\n\n\n// Add an Axis element\nax18.add_element(new Axis(ax18, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax18.add_element(new Axis(ax18, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image243ae22ba1d54b71be5e9989a3befc1e = new function(){\n  this.ax = ax18;\n  this.data = \"data:image/png;base64,\" + 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  .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax18.add_element(image243ae22ba1d54b71be5e9989a3befc1e);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax19 = new Axes(fig, [0.125, 0.72046731346402249, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes19\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e19\", true);\n\n\n\n// Add an Axis element\nax19.add_element(new Axis(ax19, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax19.add_element(new Axis(ax19, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagec1b71def0fb94a989da6f60a75f4aa66 = new function(){\n  this.ax = ax19;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax19.add_element(imagec1b71def0fb94a989da6f60a75f4aa66);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax20 = new Axes(fig, [0.16845794392523367, 0.72046731346402249, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes20\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e20\", true);\n\n\n\n// Add an Axis element\nax20.add_element(new Axis(ax20, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax20.add_element(new Axis(ax20, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image665aa62b468a46399d2416b60774ad4c = new function(){\n  this.ax = ax20;\n  this.data = \"data:image/png;base64,\" + 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this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax20.add_element(image665aa62b468a46399d2416b60774ad4c);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax21 = new Axes(fig, [0.2119158878504673, 0.72046731346402249, 0.036214953271028055, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes21\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e21\", true);\n\n\n\n// Add an Axis element\nax21.add_element(new Axis(ax21, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax21.add_element(new Axis(ax21, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagebc2cfc363f8c4784853d058e1040dbe9 = new function(){\n  this.ax = ax21;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagebc2cfc363f8c4784853d058e1040dbe9\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax21.add_element(imagebc2cfc363f8c4784853d058e1040dbe9);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax22 = new Axes(fig, [0.25537383177570094, 0.72046731346402249, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes22\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e22\", true);\n\n\n\n// Add an Axis element\nax22.add_element(new Axis(ax22, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax22.add_element(new Axis(ax22, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image636c56dbc13c4315b925b514beb277fa = new function(){\n  this.ax = ax22;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image636c56dbc13c4315b925b514beb277fa\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax22.add_element(image636c56dbc13c4315b925b514beb277fa);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax23 = new Axes(fig, [0.29883177570093455, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes23\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e23\", true);\n\n\n\n// Add an Axis element\nax23.add_element(new Axis(ax23, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax23.add_element(new Axis(ax23, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image87f97d7cf8bf460bb8319369040f4625 = new function(){\n  this.ax = ax23;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image87f97d7cf8bf460bb8319369040f4625\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax23.add_element(image87f97d7cf8bf460bb8319369040f4625);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax24 = new Axes(fig, [0.34228971962616828, 0.72046731346402249, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes24\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e24\", true);\n\n\n\n// Add an Axis element\nax24.add_element(new Axis(ax24, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax24.add_element(new Axis(ax24, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged239efc0c8b744b3902811b8f7fd2dfa = new function(){\n  this.ax = ax24;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imaged239efc0c8b744b3902811b8f7fd2dfa\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax24.add_element(imaged239efc0c8b744b3902811b8f7fd2dfa);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax25 = new Axes(fig, [0.38574766355140189, 0.72046731346402249, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes25\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e25\", true);\n\n\n\n// Add an Axis element\nax25.add_element(new Axis(ax25, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax25.add_element(new Axis(ax25, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image28a9ebbf467c4d2cbf12270b58cb2398 = new function(){\n  this.ax = ax25;\n  this.data = \"data:image/png;base64,\" + 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\"image28a9ebbf467c4d2cbf12270b58cb2398\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax25.add_element(image28a9ebbf467c4d2cbf12270b58cb2398);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax26 = new Axes(fig, [0.4292056074766355, 0.72046731346402249, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes26\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e26\", true);\n\n\n\n// Add an Axis element\nax26.add_element(new Axis(ax26, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax26.add_element(new Axis(ax26, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image9031a02ec17f4f5db1c7f406c86b6acf = new function(){\n  this.ax = ax26;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image9031a02ec17f4f5db1c7f406c86b6acf\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax26.add_element(image9031a02ec17f4f5db1c7f406c86b6acf);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax27 = new Axes(fig, [0.47266355140186911, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes27\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e27\", true);\n\n\n\n// Add an Axis element\nax27.add_element(new Axis(ax27, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax27.add_element(new Axis(ax27, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image66a4e1048b744253b316280a7bf31855 = new function(){\n  this.ax = ax27;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image66a4e1048b744253b316280a7bf31855\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax27.add_element(image66a4e1048b744253b316280a7bf31855);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax28 = new Axes(fig, [0.51612149532710272, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes28\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e28\", true);\n\n\n\n// Add an Axis element\nax28.add_element(new Axis(ax28, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax28.add_element(new Axis(ax28, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image8673cda498814036921bd574859a89b2 = new function(){\n  this.ax = ax28;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image8673cda498814036921bd574859a89b2\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax28.add_element(image8673cda498814036921bd574859a89b2);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax29 = new Axes(fig, [0.55957943925233633, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes29\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e29\", true);\n\n\n\n// Add an Axis element\nax29.add_element(new Axis(ax29, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax29.add_element(new Axis(ax29, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image1fd7223374e34b0b8ce77ad5726c2892 = new function(){\n  this.ax = ax29;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image1fd7223374e34b0b8ce77ad5726c2892\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax29.add_element(image1fd7223374e34b0b8ce77ad5726c2892);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax30 = new Axes(fig, [0.60303738317756994, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes30\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e30\", true);\n\n\n\n// Add an Axis element\nax30.add_element(new Axis(ax30, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax30.add_element(new Axis(ax30, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image3edc247f1e5d4443a09f92d3712c57e1 = new function(){\n  this.ax = ax30;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image3edc247f1e5d4443a09f92d3712c57e1\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax30.add_element(image3edc247f1e5d4443a09f92d3712c57e1);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax31 = new Axes(fig, [0.64649532710280366, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes31\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e31\", true);\n\n\n\n// Add an Axis element\nax31.add_element(new Axis(ax31, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax31.add_element(new Axis(ax31, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image155ee53c07d04817971836faff33ad46 = new function(){\n  this.ax = ax31;\n  this.data = \"data:image/png;base64,\" + 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\"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes32\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e32\", true);\n\n\n\n// Add an Axis element\nax32.add_element(new Axis(ax32, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax32.add_element(new Axis(ax32, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image3540693a5e27465b8f84e74400e58424 = new function(){\n  this.ax = ax32;\n  this.data = \"data:image/png;base64,\" + 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 this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image3540693a5e27465b8f84e74400e58424\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax32.add_element(image3540693a5e27465b8f84e74400e58424);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax33 = new Axes(fig, [0.73341121495327111, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes33\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e33\", true);\n\n\n\n// Add an Axis element\nax33.add_element(new Axis(ax33, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax33.add_element(new Axis(ax33, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageea07ff91a06d46808269e846030d4eb8 = new function(){\n  this.ax = ax33;\n  this.data = \"data:image/png;base64,\" + 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[-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageea07ff91a06d46808269e846030d4eb8\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax33.add_element(imageea07ff91a06d46808269e846030d4eb8);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax34 = new Axes(fig, [0.77686915887850483, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes34\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e34\", true);\n\n\n\n// Add an Axis element\nax34.add_element(new Axis(ax34, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax34.add_element(new Axis(ax34, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagedcc188231c2f486bb25de22d7bef03ad = new function(){\n  this.ax = ax34;\n  this.data = \"data:image/png;base64,\" + 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\"imagedcc188231c2f486bb25de22d7bef03ad\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax34.add_element(imagedcc188231c2f486bb25de22d7bef03ad);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax35 = new Axes(fig, [0.82032710280373855, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes35\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e35\", true);\n\n\n\n// Add an Axis element\nax35.add_element(new Axis(ax35, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax35.add_element(new Axis(ax35, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagea50520ee4a3c4a4b97817accbf92687d = new function(){\n  this.ax = ax35;\n  this.data = \"data:image/png;base64,\" + 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function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax35.add_element(imagea50520ee4a3c4a4b97817accbf92687d);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax36 = new Axes(fig, [0.86378504672897227, 0.72046731346402249, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes36\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e36\", true);\n\n\n\n// Add an Axis element\nax36.add_element(new Axis(ax36, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax36.add_element(new Axis(ax36, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image76a63ea94b1a4a24a74aa42596ad5d05 = new function(){\n  this.ax = ax36;\n  this.data = \"data:image/png;base64,\" + 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this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax36.add_element(image76a63ea94b1a4a24a74aa42596ad5d05);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax37 = new Axes(fig, [0.125, 0.60705267931768092, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes37\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e37\", true);\n\n\n\n// Add an Axis element\nax37.add_element(new Axis(ax37, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax37.add_element(new Axis(ax37, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged6e795409c8c40bfa4ac17f608e87484 = new function(){\n  this.ax = ax37;\n  this.data = \"data:image/png;base64,\" + 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this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax37.add_element(imaged6e795409c8c40bfa4ac17f608e87484);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax38 = new Axes(fig, [0.16845794392523367, 0.60705267931768092, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes38\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e38\", true);\n\n\n\n// Add an Axis element\nax38.add_element(new Axis(ax38, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax38.add_element(new Axis(ax38, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageee711b7cdca647f696c284582a0f0a7b = new function(){\n  this.ax = ax38;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax38.add_element(imageee711b7cdca647f696c284582a0f0a7b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax39 = new Axes(fig, [0.2119158878504673, 0.60705267931768092, 0.036214953271028055, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes39\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e39\", true);\n\n\n\n// Add an Axis element\nax39.add_element(new Axis(ax39, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax39.add_element(new Axis(ax39, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image6417312290a1424892770ee55af30bf4 = new function(){\n  this.ax = ax39;\n  this.data = \"data:image/png;base64,\" + 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\"image6417312290a1424892770ee55af30bf4\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax39.add_element(image6417312290a1424892770ee55af30bf4);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax40 = new Axes(fig, [0.25537383177570094, 0.60705267931768092, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes40\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e40\", true);\n\n\n\n// Add an Axis element\nax40.add_element(new Axis(ax40, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax40.add_element(new Axis(ax40, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image869b06a08b5a487ba443667a0258fed8 = new function(){\n  this.ax = ax40;\n  this.data = \"data:image/png;base64,\" + 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624.5, -0.5];\n  this.class = \"image869b06a08b5a487ba443667a0258fed8\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax40.add_element(image869b06a08b5a487ba443667a0258fed8);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax41 = new Axes(fig, [0.29883177570093455, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes41\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e41\", true);\n\n\n\n// Add an Axis element\nax41.add_element(new Axis(ax41, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax41.add_element(new Axis(ax41, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image66f04e66d9814c37b0f35486c5fbfddf = new function(){\n  this.ax = ax41;\n  this.data = \"data:image/png;base64,\" + 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 this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image66f04e66d9814c37b0f35486c5fbfddf\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax41.add_element(image66f04e66d9814c37b0f35486c5fbfddf);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax42 = new Axes(fig, [0.34228971962616828, 0.60705267931768092, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes42\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e42\", true);\n\n\n\n// Add an Axis element\nax42.add_element(new Axis(ax42, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax42.add_element(new Axis(ax42, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged3c7df24cc3e42e7947b93c31467f8bc = new function(){\n  this.ax = ax42;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imaged3c7df24cc3e42e7947b93c31467f8bc\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax42.add_element(imaged3c7df24cc3e42e7947b93c31467f8bc);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax43 = new Axes(fig, [0.38574766355140189, 0.60705267931768092, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes43\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e43\", true);\n\n\n\n// Add an Axis element\nax43.add_element(new Axis(ax43, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax43.add_element(new Axis(ax43, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagedaef0356feb7449ea9e3c7452868993f = new function(){\n  this.ax = ax43;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagedaef0356feb7449ea9e3c7452868993f\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax43.add_element(imagedaef0356feb7449ea9e3c7452868993f);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax44 = new Axes(fig, [0.4292056074766355, 0.60705267931768092, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes44\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e44\", true);\n\n\n\n// Add an Axis element\nax44.add_element(new Axis(ax44, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax44.add_element(new Axis(ax44, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagedaff86399036453c9bcf6286cbca0f6d = new function(){\n  this.ax = ax44;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagedaff86399036453c9bcf6286cbca0f6d\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax44.add_element(imagedaff86399036453c9bcf6286cbca0f6d);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax45 = new Axes(fig, [0.47266355140186911, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes45\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e45\", true);\n\n\n\n// Add an Axis element\nax45.add_element(new Axis(ax45, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax45.add_element(new Axis(ax45, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0253b21e5ef648a6803b96b7af4ccc94 = new function(){\n  this.ax = ax45;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image0253b21e5ef648a6803b96b7af4ccc94\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax45.add_element(image0253b21e5ef648a6803b96b7af4ccc94);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax46 = new Axes(fig, [0.51612149532710272, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes46\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e46\", true);\n\n\n\n// Add an Axis element\nax46.add_element(new Axis(ax46, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax46.add_element(new Axis(ax46, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagefa6ca9f385144e1ead8c72f472ed3556 = new function(){\n  this.ax = ax46;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagefa6ca9f385144e1ead8c72f472ed3556\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax46.add_element(imagefa6ca9f385144e1ead8c72f472ed3556);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax47 = new Axes(fig, [0.55957943925233633, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes47\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e47\", true);\n\n\n\n// Add an Axis element\nax47.add_element(new Axis(ax47, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax47.add_element(new Axis(ax47, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image38939c232049499f99817ecd4131a6f1 = new function(){\n  this.ax = ax47;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax47.add_element(image38939c232049499f99817ecd4131a6f1);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax48 = new Axes(fig, [0.60303738317756994, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes48\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e48\", true);\n\n\n\n// Add an Axis element\nax48.add_element(new Axis(ax48, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax48.add_element(new Axis(ax48, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image754f1037ea914adab47bea36640b5d84 = new function(){\n  this.ax = ax48;\n  this.data = \"data:image/png;base64,\" + 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this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax48.add_element(image754f1037ea914adab47bea36640b5d84);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax49 = new Axes(fig, [0.64649532710280366, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes49\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e49\", true);\n\n\n\n// Add an Axis element\nax49.add_element(new Axis(ax49, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax49.add_element(new Axis(ax49, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image35413e72c8b04347a2d3ef928249bbd5 = new function(){\n  this.ax = ax49;\n  this.data = \"data:image/png;base64,\" + 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 this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image35413e72c8b04347a2d3ef928249bbd5\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax49.add_element(image35413e72c8b04347a2d3ef928249bbd5);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax50 = new Axes(fig, [0.68995327102803738, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes50\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e50\", true);\n\n\n\n// Add an Axis element\nax50.add_element(new Axis(ax50, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax50.add_element(new Axis(ax50, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagec05a88a819a743fea726c37ad9672e41 = new function(){\n  this.ax = ax50;\n  this.data = \"data:image/png;base64,\" + 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 this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagec05a88a819a743fea726c37ad9672e41\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax50.add_element(imagec05a88a819a743fea726c37ad9672e41);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax51 = new Axes(fig, [0.73341121495327111, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes51\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e51\", true);\n\n\n\n// Add an Axis element\nax51.add_element(new Axis(ax51, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax51.add_element(new Axis(ax51, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image2eebe143bf184ce6b6abec499484912c = new function(){\n  this.ax = ax51;\n  this.data = \"data:image/png;base64,\" + 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 this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image2eebe143bf184ce6b6abec499484912c\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax51.add_element(image2eebe143bf184ce6b6abec499484912c);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax52 = new Axes(fig, [0.77686915887850483, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes52\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e52\", true);\n\n\n\n// Add an Axis element\nax52.add_element(new Axis(ax52, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax52.add_element(new Axis(ax52, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image7b239318fa284d82a8796420bfa1201a = new function(){\n  this.ax = ax52;\n  this.data = \"data:image/png;base64,\" + 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 this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image7b239318fa284d82a8796420bfa1201a\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax52.add_element(image7b239318fa284d82a8796420bfa1201a);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax53 = new Axes(fig, [0.82032710280373855, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes53\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e53\", true);\n\n\n\n// Add an Axis element\nax53.add_element(new Axis(ax53, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax53.add_element(new Axis(ax53, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagedc41b623441447388000d440b5516175 = new function(){\n  this.ax = ax53;\n  this.data = \"data:image/png;base64,\" + 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\"imagedc41b623441447388000d440b5516175\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax53.add_element(imagedc41b623441447388000d440b5516175);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax54 = new Axes(fig, [0.86378504672897227, 0.60705267931768092, 0.036214953271028083, 0.037723909657320975], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes54\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e54\", true);\n\n\n\n// Add an Axis element\nax54.add_element(new Axis(ax54, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax54.add_element(new Axis(ax54, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0dd4411684e74e20b04c997173ccda84 = new function(){\n  this.ax = ax54;\n  this.data = \"data:image/png;base64,\" + 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.attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax54.add_element(image0dd4411684e74e20b04c997173ccda84);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax55 = new Axes(fig, [0.125, 0.49363804517133947, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes55\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e55\", true);\n\n\n\n// Add an Axis element\nax55.add_element(new Axis(ax55, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax55.add_element(new Axis(ax55, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image2a7098e61b9b4c508ca173cb27d2ce3e = new function(){\n  this.ax = ax55;\n  this.data = \"data:image/png;base64,\" + 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set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax55.add_element(image2a7098e61b9b4c508ca173cb27d2ce3e);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax56 = new Axes(fig, [0.16845794392523367, 0.49363804517133947, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes56\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e56\", true);\n\n\n\n// Add an Axis element\nax56.add_element(new Axis(ax56, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax56.add_element(new Axis(ax56, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image51aa92c5192a4cd2aa6c70b5deb41ab3 = new function(){\n  this.ax = ax56;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax56.add_element(image51aa92c5192a4cd2aa6c70b5deb41ab3);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax57 = new Axes(fig, [0.2119158878504673, 0.49363804517133947, 0.036214953271028055, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes57\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e57\", true);\n\n\n\n// Add an Axis element\nax57.add_element(new Axis(ax57, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax57.add_element(new Axis(ax57, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image5db9cf1b57214674ac42e5e8bf4dc561 = new function(){\n  this.ax = ax57;\n  this.data = \"data:image/png;base64,\" + 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\"image5db9cf1b57214674ac42e5e8bf4dc561\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax57.add_element(image5db9cf1b57214674ac42e5e8bf4dc561);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax58 = new Axes(fig, [0.25537383177570094, 0.49363804517133947, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes58\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e58\", true);\n\n\n\n// Add an Axis element\nax58.add_element(new Axis(ax58, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax58.add_element(new Axis(ax58, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image83bdef8757ad4311837bc62a09c24f1e = new function(){\n  this.ax = ax58;\n  this.data = \"data:image/png;base64,\" + 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this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax58.add_element(image83bdef8757ad4311837bc62a09c24f1e);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax59 = new Axes(fig, [0.29883177570093455, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes59\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e59\", true);\n\n\n\n// Add an Axis element\nax59.add_element(new Axis(ax59, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax59.add_element(new Axis(ax59, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0de26049e851414d9ed5efd204b727d3 = new function(){\n  this.ax = ax59;\n  this.data = \"data:image/png;base64,\" + 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[-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image0de26049e851414d9ed5efd204b727d3\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax59.add_element(image0de26049e851414d9ed5efd204b727d3);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax60 = new Axes(fig, [0.34228971962616828, 0.49363804517133947, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes60\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e60\", true);\n\n\n\n// Add an Axis element\nax60.add_element(new Axis(ax60, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax60.add_element(new Axis(ax60, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged3df834004ff46e184845568f9a3b6c8 = new function(){\n  this.ax = ax60;\n  this.data = \"data:image/png;base64,\" + 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= \"imaged3df834004ff46e184845568f9a3b6c8\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax60.add_element(imaged3df834004ff46e184845568f9a3b6c8);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax61 = new Axes(fig, [0.38574766355140189, 0.49363804517133947, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes61\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e61\", true);\n\n\n\n// Add an Axis element\nax61.add_element(new Axis(ax61, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax61.add_element(new Axis(ax61, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image3ab89ad7e6954f1d8bc202a4081e037b = new function(){\n  this.ax = ax61;\n  this.data = \"data:image/png;base64,\" + 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\"image3ab89ad7e6954f1d8bc202a4081e037b\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax61.add_element(image3ab89ad7e6954f1d8bc202a4081e037b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax62 = new Axes(fig, [0.4292056074766355, 0.49363804517133947, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes62\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e62\", true);\n\n\n\n// Add an Axis element\nax62.add_element(new Axis(ax62, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax62.add_element(new Axis(ax62, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagefce2e9d219a54c2385b43c2f9dabaf78 = new function(){\n  this.ax = ax62;\n  this.data = \"data:image/png;base64,\" + 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function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax62.add_element(imagefce2e9d219a54c2385b43c2f9dabaf78);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax63 = new Axes(fig, [0.47266355140186911, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes63\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e63\", true);\n\n\n\n// Add an Axis element\nax63.add_element(new Axis(ax63, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax63.add_element(new Axis(ax63, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0a0fda6e1af94bbe9fd16f2a97641d57 = new function(){\n  this.ax = ax63;\n  this.data = \"data:image/png;base64,\" + 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the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax63.add_element(image0a0fda6e1af94bbe9fd16f2a97641d57);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax64 = new Axes(fig, [0.51612149532710272, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes64\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e64\", true);\n\n\n\n// Add an Axis element\nax64.add_element(new Axis(ax64, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax64.add_element(new Axis(ax64, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image4a57feed376543d58a2fcb19029e6988 = new function(){\n  this.ax = ax64;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image4a57feed376543d58a2fcb19029e6988\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax64.add_element(image4a57feed376543d58a2fcb19029e6988);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax65 = new Axes(fig, [0.55957943925233633, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes65\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e65\", true);\n\n\n\n// Add an Axis element\nax65.add_element(new Axis(ax65, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax65.add_element(new Axis(ax65, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged1f87b9ffd2841e5af4892a60390c76b = new function(){\n  this.ax = ax65;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imaged1f87b9ffd2841e5af4892a60390c76b\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax65.add_element(imaged1f87b9ffd2841e5af4892a60390c76b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax66 = new Axes(fig, [0.60303738317756994, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes66\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e66\", true);\n\n\n\n// Add an Axis element\nax66.add_element(new Axis(ax66, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax66.add_element(new Axis(ax66, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image77e430c524e1471dace8c4600d16271e = new function(){\n  this.ax = ax66;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image77e430c524e1471dace8c4600d16271e\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax66.add_element(image77e430c524e1471dace8c4600d16271e);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax67 = new Axes(fig, [0.64649532710280366, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes67\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e67\", true);\n\n\n\n// Add an Axis element\nax67.add_element(new Axis(ax67, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax67.add_element(new Axis(ax67, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image1ba135c3a66e4d4c99ca8bac1aac460f = new function(){\n  this.ax = ax67;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image1ba135c3a66e4d4c99ca8bac1aac460f\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax67.add_element(image1ba135c3a66e4d4c99ca8bac1aac460f);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax68 = new Axes(fig, [0.68995327102803738, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes68\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e68\", true);\n\n\n\n// Add an Axis element\nax68.add_element(new Axis(ax68, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax68.add_element(new Axis(ax68, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagee7898a7096fc41ccb55885a08dbbf2d8 = new function(){\n  this.ax = ax68;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagee7898a7096fc41ccb55885a08dbbf2d8\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax68.add_element(imagee7898a7096fc41ccb55885a08dbbf2d8);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax69 = new Axes(fig, [0.73341121495327111, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes69\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e69\", true);\n\n\n\n// Add an Axis element\nax69.add_element(new Axis(ax69, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax69.add_element(new Axis(ax69, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageeea680e5b8bc434681a5f87efc066c79 = new function(){\n  this.ax = ax69;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageeea680e5b8bc434681a5f87efc066c79\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax69.add_element(imageeea680e5b8bc434681a5f87efc066c79);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax70 = new Axes(fig, [0.77686915887850483, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes70\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e70\", true);\n\n\n\n// Add an Axis element\nax70.add_element(new Axis(ax70, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax70.add_element(new Axis(ax70, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagebeb16c8c6d9e4f2a9495850fad1b3c88 = new function(){\n  this.ax = ax70;\n  this.data = \"data:image/png;base64,\" + 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\"imagebeb16c8c6d9e4f2a9495850fad1b3c88\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax70.add_element(imagebeb16c8c6d9e4f2a9495850fad1b3c88);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax71 = new Axes(fig, [0.82032710280373855, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes71\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e71\", true);\n\n\n\n// Add an Axis element\nax71.add_element(new Axis(ax71, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax71.add_element(new Axis(ax71, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image56cbc8df60f7482ba26102cb7059b2f6 = new function(){\n  this.ax = ax71;\n  this.data = \"data:image/png;base64,\" + 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\"image56cbc8df60f7482ba26102cb7059b2f6\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax71.add_element(image56cbc8df60f7482ba26102cb7059b2f6);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax72 = new Axes(fig, [0.86378504672897227, 0.49363804517133947, 0.036214953271028083, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes72\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e72\", true);\n\n\n\n// Add an Axis element\nax72.add_element(new Axis(ax72, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax72.add_element(new Axis(ax72, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageeb499ed586884c718ab234070814e35b = new function(){\n  this.ax = ax72;\n  this.data = \"data:image/png;base64,\" + 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\"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax72.add_element(imageeb499ed586884c718ab234070814e35b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax73 = new Axes(fig, [0.125, 0.38022341102499801, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes73\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e73\", true);\n\n\n\n// Add an Axis element\nax73.add_element(new Axis(ax73, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax73.add_element(new Axis(ax73, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageaeac3409ba8f4b42944cc29092eaf0fb = new function(){\n  this.ax = ax73;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax73.add_element(imageaeac3409ba8f4b42944cc29092eaf0fb);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax74 = new Axes(fig, [0.16845794392523367, 0.38022341102499801, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes74\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e74\", true);\n\n\n\n// Add an Axis element\nax74.add_element(new Axis(ax74, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax74.add_element(new Axis(ax74, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image21530aa7772b406896caa407a51fb616 = new function(){\n  this.ax = ax74;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax74.add_element(image21530aa7772b406896caa407a51fb616);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax75 = new Axes(fig, [0.2119158878504673, 0.38022341102499801, 0.036214953271028055, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes75\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e75\", true);\n\n\n\n// Add an Axis element\nax75.add_element(new Axis(ax75, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax75.add_element(new Axis(ax75, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged9d2f71b860e46ea9f5cff11353e71ce = new function(){\n  this.ax = ax75;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax75.add_element(imaged9d2f71b860e46ea9f5cff11353e71ce);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax76 = new Axes(fig, [0.25537383177570094, 0.38022341102499801, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes76\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e76\", true);\n\n\n\n// Add an Axis element\nax76.add_element(new Axis(ax76, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax76.add_element(new Axis(ax76, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image67c5d8be562543aa9ed31bc51f176c42 = new function(){\n  this.ax = ax76;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax76.add_element(image67c5d8be562543aa9ed31bc51f176c42);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax77 = new Axes(fig, [0.29883177570093455, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes77\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e77\", true);\n\n\n\n// Add an Axis element\nax77.add_element(new Axis(ax77, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax77.add_element(new Axis(ax77, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image48355de2c6c943b59737b389d6c109d9 = new function(){\n  this.ax = ax77;\n  this.data = \"data:image/png;base64,\" + 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.attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax77.add_element(image48355de2c6c943b59737b389d6c109d9);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax78 = new Axes(fig, [0.34228971962616828, 0.38022341102499801, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes78\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e78\", true);\n\n\n\n// Add an Axis element\nax78.add_element(new Axis(ax78, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax78.add_element(new Axis(ax78, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image8d24c0a7500e4a0cbd012b8235662a47 = new function(){\n  this.ax = ax78;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax78.add_element(image8d24c0a7500e4a0cbd012b8235662a47);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax79 = new Axes(fig, [0.38574766355140189, 0.38022341102499801, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes79\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e79\", true);\n\n\n\n// Add an Axis element\nax79.add_element(new Axis(ax79, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax79.add_element(new Axis(ax79, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged59a22ad204b47bea1d81c10b9ad849b = new function(){\n  this.ax = ax79;\n  this.data = \"data:image/png;base64,\" + 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this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax79.add_element(imaged59a22ad204b47bea1d81c10b9ad849b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax80 = new Axes(fig, [0.4292056074766355, 0.38022341102499801, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes80\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e80\", true);\n\n\n\n// Add an Axis element\nax80.add_element(new Axis(ax80, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax80.add_element(new Axis(ax80, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image1f3ffb7130d5409daec20dba21ba66b9 = new function(){\n  this.ax = ax80;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image1f3ffb7130d5409daec20dba21ba66b9\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax80.add_element(image1f3ffb7130d5409daec20dba21ba66b9);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax81 = new Axes(fig, [0.47266355140186911, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes81\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e81\", true);\n\n\n\n// Add an Axis element\nax81.add_element(new Axis(ax81, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax81.add_element(new Axis(ax81, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged17c35c1d3fa45dd85e3c763962dc782 = new function(){\n  this.ax = ax81;\n  this.data = \"data:image/png;base64,\" + 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image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax81.add_element(imaged17c35c1d3fa45dd85e3c763962dc782);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax82 = new Axes(fig, [0.51612149532710272, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes82\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e82\", true);\n\n\n\n// Add an Axis element\nax82.add_element(new Axis(ax82, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax82.add_element(new Axis(ax82, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image95cf4a6ce1ee4068ad64efab28104bd1 = new function(){\n  this.ax = ax82;\n  this.data = \"data:image/png;base64,\" + 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location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax82.add_element(image95cf4a6ce1ee4068ad64efab28104bd1);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax83 = new Axes(fig, [0.55957943925233633, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes83\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e83\", true);\n\n\n\n// Add an Axis element\nax83.add_element(new Axis(ax83, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax83.add_element(new Axis(ax83, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image174d6b3237294ef49740de661e2d5678 = new function(){\n  this.ax = ax83;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image174d6b3237294ef49740de661e2d5678\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax83.add_element(image174d6b3237294ef49740de661e2d5678);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax84 = new Axes(fig, [0.60303738317756994, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes84\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e84\", true);\n\n\n\n// Add an Axis element\nax84.add_element(new Axis(ax84, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax84.add_element(new Axis(ax84, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image6d0aa8d25b7e46c98ef83383604c560d = new function(){\n  this.ax = ax84;\n  this.data = \"data:image/png;base64,\" + \"iVBORw0KGgoAAAANSUhEUgAAABMAAAANCAYAAABLjFUnAAAABHNCSVQICAgIfAhkiAAAAflJREFUKJFt081vTGEUBvDfzL3uVAch6FARI4p2Go1EdCHiY2NhiUTEyh9haeX/sNFILLCzsFEkIg0hbVrVtIyU0sZXMNq55s61YG5mcDbvx/Ock+e853lzxprp7oMTUjmBBkjl5TSzNRGCQEMizHjtccR9ueF0NG0I/gEToe+KNvkolQPLVnubbNMXzPo7J5TItzZ/Ayu6zN3dZ6OPYI8ZZa98CgOTtYpuyxm/tc9DQ9BRcMi4U26qHH/i9q3TTrthyoBr8XlGt6jNb1JWzTpI/qjMlLXLfmq/PrOm7h1ghdtO+mats9F1Qi72XzZSvaDbsoK6uuj/ygpiL2r9Bk3acXTauXNXTKaD3tV6rfWNZ9xxwprNnyWCjtyOAYQSdQWHPBSJjRn2Q7eSRYtKtps3Wjtma3FBnzmLerJuCuLfxdrVNQS+2KBkUSBRVbbaD7u89NyASN1eM75YLxZ1KMu3T7EFDBk3Va8oqonEllZKXtthlViXuje2SQQtM2SRvVmgmV0u6BUVYk/SA3osWdf11fTCgEsum5gZVjGlLsr811EslEjkO+yx0yvHcqMejRz37sNW/b3PlSw5s+eq97Z0eLIlKBtAuz1ahEisqmyVn8qqaor/eLL9HA4Z98Bhzcx4v4GmQCqn6LumwLztHX+yKci4idDs44pfVK3PzAYeL8cAAAAASUVORK5CYII=\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image6d0aa8d25b7e46c98ef83383604c560d\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax84.add_element(image6d0aa8d25b7e46c98ef83383604c560d);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax85 = new Axes(fig, [0.64649532710280366, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes85\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e85\", true);\n\n\n\n// Add an Axis element\nax85.add_element(new Axis(ax85, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax85.add_element(new Axis(ax85, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image10a90f7bb24048e395496e4b9432e3ae = new function(){\n  this.ax = ax85;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image10a90f7bb24048e395496e4b9432e3ae\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax85.add_element(image10a90f7bb24048e395496e4b9432e3ae);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax86 = new Axes(fig, [0.68995327102803738, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes86\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e86\", true);\n\n\n\n// Add an Axis element\nax86.add_element(new Axis(ax86, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax86.add_element(new Axis(ax86, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagef2666526e1a94d92bdcf127ae19e8882 = new function(){\n  this.ax = ax86;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagef2666526e1a94d92bdcf127ae19e8882\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax86.add_element(imagef2666526e1a94d92bdcf127ae19e8882);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax87 = new Axes(fig, [0.73341121495327111, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes87\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e87\", true);\n\n\n\n// Add an Axis element\nax87.add_element(new Axis(ax87, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax87.add_element(new Axis(ax87, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image99ebf69f4fa1477fa9ef269f1bb6d78c = new function(){\n  this.ax = ax87;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image99ebf69f4fa1477fa9ef269f1bb6d78c\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax87.add_element(image99ebf69f4fa1477fa9ef269f1bb6d78c);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax88 = new Axes(fig, [0.77686915887850483, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes88\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e88\", true);\n\n\n\n// Add an Axis element\nax88.add_element(new Axis(ax88, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax88.add_element(new Axis(ax88, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image8bbef561f0ba485d99f13a84ca8fcdde = new function(){\n  this.ax = ax88;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax88.add_element(image8bbef561f0ba485d99f13a84ca8fcdde);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax89 = new Axes(fig, [0.82032710280373855, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes89\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e89\", true);\n\n\n\n// Add an Axis element\nax89.add_element(new Axis(ax89, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax89.add_element(new Axis(ax89, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image6af7d63aa901451e8d9dd0750198bc92 = new function(){\n  this.ax = ax89;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image6af7d63aa901451e8d9dd0750198bc92\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax89.add_element(image6af7d63aa901451e8d9dd0750198bc92);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax90 = new Axes(fig, [0.86378504672897227, 0.38022341102499796, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes90\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e90\", true);\n\n\n\n// Add an Axis element\nax90.add_element(new Axis(ax90, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax90.add_element(new Axis(ax90, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image19e131dd894e4fa7a29a4451aeff397b = new function(){\n  this.ax = ax90;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image19e131dd894e4fa7a29a4451aeff397b\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax90.add_element(image19e131dd894e4fa7a29a4451aeff397b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax91 = new Axes(fig, [0.125, 0.26680877687865651, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes91\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e91\", true);\n\n\n\n// Add an Axis element\nax91.add_element(new Axis(ax91, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax91.add_element(new Axis(ax91, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image22e3228be4a44746b654c4b422e9eabc = new function(){\n  this.ax = ax91;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image22e3228be4a44746b654c4b422e9eabc\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax91.add_element(image22e3228be4a44746b654c4b422e9eabc);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax92 = new Axes(fig, [0.16845794392523367, 0.26680877687865651, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes92\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e92\", true);\n\n\n\n// Add an Axis element\nax92.add_element(new Axis(ax92, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax92.add_element(new Axis(ax92, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image74bfe7326eae4dedb9dd1bb09ad70b98 = new function(){\n  this.ax = ax92;\n  this.data = \"data:image/png;base64,\" + 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this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax92.add_element(image74bfe7326eae4dedb9dd1bb09ad70b98);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax93 = new Axes(fig, [0.2119158878504673, 0.26680877687865651, 0.036214953271028055, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes93\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e93\", true);\n\n\n\n// Add an Axis element\nax93.add_element(new Axis(ax93, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax93.add_element(new Axis(ax93, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageb7c7bde0ea9941c6b6f6fe2a559f4e6e = new function(){\n  this.ax = ax93;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax93.add_element(imageb7c7bde0ea9941c6b6f6fe2a559f4e6e);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax94 = new Axes(fig, [0.25537383177570094, 0.26680877687865651, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes94\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e94\", true);\n\n\n\n// Add an Axis element\nax94.add_element(new Axis(ax94, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax94.add_element(new Axis(ax94, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image66ee94a47ba24a53a322273dadf62ee2 = new function(){\n  this.ax = ax94;\n  this.data = \"data:image/png;base64,\" + 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.attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax94.add_element(image66ee94a47ba24a53a322273dadf62ee2);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax95 = new Axes(fig, [0.29883177570093455, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes95\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e95\", true);\n\n\n\n// Add an Axis element\nax95.add_element(new Axis(ax95, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax95.add_element(new Axis(ax95, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image5d3134b2b9a74f3da44334ad80b95431 = new function(){\n  this.ax = ax95;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image5d3134b2b9a74f3da44334ad80b95431\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax95.add_element(image5d3134b2b9a74f3da44334ad80b95431);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax96 = new Axes(fig, [0.34228971962616828, 0.26680877687865651, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes96\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e96\", true);\n\n\n\n// Add an Axis element\nax96.add_element(new Axis(ax96, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax96.add_element(new Axis(ax96, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image6b17ab82af3b4b429f44da087e8d509c = new function(){\n  this.ax = ax96;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image6b17ab82af3b4b429f44da087e8d509c\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax96.add_element(image6b17ab82af3b4b429f44da087e8d509c);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax97 = new Axes(fig, [0.38574766355140189, 0.26680877687865651, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes97\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e97\", true);\n\n\n\n// Add an Axis element\nax97.add_element(new Axis(ax97, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax97.add_element(new Axis(ax97, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image315ccbc4ae1a465cb3a70395c39a6e95 = new function(){\n  this.ax = ax97;\n  this.data = \"data:image/png;base64,\" + 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this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax97.add_element(image315ccbc4ae1a465cb3a70395c39a6e95);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax98 = new Axes(fig, [0.4292056074766355, 0.26680877687865651, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes98\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e98\", true);\n\n\n\n// Add an Axis element\nax98.add_element(new Axis(ax98, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax98.add_element(new Axis(ax98, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image99ad93dd8cda4af4a1782fada41551bf = new function(){\n  this.ax = ax98;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image99ad93dd8cda4af4a1782fada41551bf\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax98.add_element(image99ad93dd8cda4af4a1782fada41551bf);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax99 = new Axes(fig, [0.47266355140186911, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes99\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e99\", true);\n\n\n\n// Add an Axis element\nax99.add_element(new Axis(ax99, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax99.add_element(new Axis(ax99, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image41a4956fa7fd46b1831040425dca20fd = new function(){\n  this.ax = ax99;\n  this.data = \"data:image/png;base64,\" + 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location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax99.add_element(image41a4956fa7fd46b1831040425dca20fd);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax100 = new Axes(fig, [0.51612149532710272, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes100\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e100\", true);\n\n\n\n// Add an Axis element\nax100.add_element(new Axis(ax100, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax100.add_element(new Axis(ax100, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image744951b5aaca4cab9b24cb89d2a8d9c4 = new function(){\n  this.ax = ax100;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image744951b5aaca4cab9b24cb89d2a8d9c4\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax100.add_element(image744951b5aaca4cab9b24cb89d2a8d9c4);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax101 = new Axes(fig, [0.55957943925233633, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes101\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e101\", true);\n\n\n\n// Add an Axis element\nax101.add_element(new Axis(ax101, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax101.add_element(new Axis(ax101, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagec6f5da5475f243688192d05f60f6d5e7 = new function(){\n  this.ax = ax101;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagec6f5da5475f243688192d05f60f6d5e7\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax101.add_element(imagec6f5da5475f243688192d05f60f6d5e7);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax102 = new Axes(fig, [0.60303738317756994, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes102\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e102\", true);\n\n\n\n// Add an Axis element\nax102.add_element(new Axis(ax102, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax102.add_element(new Axis(ax102, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image92074379dea344b89bbb81a88b1df144 = new function(){\n  this.ax = ax102;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image92074379dea344b89bbb81a88b1df144\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax102.add_element(image92074379dea344b89bbb81a88b1df144);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax103 = new Axes(fig, [0.64649532710280366, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes103\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e103\", true);\n\n\n\n// Add an Axis element\nax103.add_element(new Axis(ax103, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax103.add_element(new Axis(ax103, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image939b8e3929d44773b7e11fc39a883f9b = new function(){\n  this.ax = ax103;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image939b8e3929d44773b7e11fc39a883f9b\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax103.add_element(image939b8e3929d44773b7e11fc39a883f9b);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax104 = new Axes(fig, [0.68995327102803738, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes104\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e104\", true);\n\n\n\n// Add an Axis element\nax104.add_element(new Axis(ax104, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax104.add_element(new Axis(ax104, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagefd59d4cd839c447cad3a83a96520f192 = new function(){\n  this.ax = ax104;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagefd59d4cd839c447cad3a83a96520f192\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax104.add_element(imagefd59d4cd839c447cad3a83a96520f192);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax105 = new Axes(fig, [0.73341121495327111, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes105\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e105\", true);\n\n\n\n// Add an Axis element\nax105.add_element(new Axis(ax105, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax105.add_element(new Axis(ax105, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageab9c7d9144c04b50a5e1ec279959a7d2 = new function(){\n  this.ax = ax105;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageab9c7d9144c04b50a5e1ec279959a7d2\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax105.add_element(imageab9c7d9144c04b50a5e1ec279959a7d2);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax106 = new Axes(fig, [0.77686915887850483, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes106\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e106\", true);\n\n\n\n// Add an Axis element\nax106.add_element(new Axis(ax106, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax106.add_element(new Axis(ax106, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageb4913be5b76649b7a949a6c31b591df6 = new function(){\n  this.ax = ax106;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageb4913be5b76649b7a949a6c31b591df6\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax106.add_element(imageb4913be5b76649b7a949a6c31b591df6);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax107 = new Axes(fig, [0.82032710280373855, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes107\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e107\", true);\n\n\n\n// Add an Axis element\nax107.add_element(new Axis(ax107, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax107.add_element(new Axis(ax107, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0472b17a1a284226a7a7e5abf032a938 = new function(){\n  this.ax = ax107;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image0472b17a1a284226a7a7e5abf032a938\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax107.add_element(image0472b17a1a284226a7a7e5abf032a938);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax108 = new Axes(fig, [0.86378504672897227, 0.26680877687865645, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes108\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e108\", true);\n\n\n\n// Add an Axis element\nax108.add_element(new Axis(ax108, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax108.add_element(new Axis(ax108, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image534bf7d04c264a7b871bb596b103e339 = new function(){\n  this.ax = ax108;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image534bf7d04c264a7b871bb596b103e339\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax108.add_element(image534bf7d04c264a7b871bb596b103e339);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax109 = new Axes(fig, [0.125, 0.15339414273231505, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes109\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e109\", true);\n\n\n\n// Add an Axis element\nax109.add_element(new Axis(ax109, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax109.add_element(new Axis(ax109, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image83dddebcb6514534bf9a127cac0d4f67 = new function(){\n  this.ax = ax109;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image83dddebcb6514534bf9a127cac0d4f67\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax109.add_element(image83dddebcb6514534bf9a127cac0d4f67);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax110 = new Axes(fig, [0.16845794392523367, 0.15339414273231505, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes110\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e110\", true);\n\n\n\n// Add an Axis element\nax110.add_element(new Axis(ax110, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax110.add_element(new Axis(ax110, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageb266f8021851461c85c83ff6b5b3dee8 = new function(){\n  this.ax = ax110;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageb266f8021851461c85c83ff6b5b3dee8\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax110.add_element(imageb266f8021851461c85c83ff6b5b3dee8);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax111 = new Axes(fig, [0.2119158878504673, 0.15339414273231505, 0.036214953271028055, 0.037723909657320892], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes111\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e111\", true);\n\n\n\n// Add an Axis element\nax111.add_element(new Axis(ax111, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax111.add_element(new Axis(ax111, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image07427a01ad0044e1910bc5e6ac26dcee = new function(){\n  this.ax = ax111;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image07427a01ad0044e1910bc5e6ac26dcee\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax111.add_element(image07427a01ad0044e1910bc5e6ac26dcee);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax112 = new Axes(fig, [0.25537383177570094, 0.15339414273231505, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes112\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e112\", true);\n\n\n\n// Add an Axis element\nax112.add_element(new Axis(ax112, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax112.add_element(new Axis(ax112, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image977ad7f575d24a31b3b18cc361de7f7c = new function(){\n  this.ax = ax112;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image977ad7f575d24a31b3b18cc361de7f7c\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax112.add_element(image977ad7f575d24a31b3b18cc361de7f7c);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax113 = new Axes(fig, [0.29883177570093455, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes113\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e113\", true);\n\n\n\n// Add an Axis element\nax113.add_element(new Axis(ax113, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax113.add_element(new Axis(ax113, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0beab182bfa943fdb32531628d684f32 = new function(){\n  this.ax = ax113;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image0beab182bfa943fdb32531628d684f32\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax113.add_element(image0beab182bfa943fdb32531628d684f32);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax114 = new Axes(fig, [0.34228971962616828, 0.15339414273231505, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes114\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e114\", true);\n\n\n\n// Add an Axis element\nax114.add_element(new Axis(ax114, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax114.add_element(new Axis(ax114, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image694e33f0298f481ca4d357dae5d2885c = new function(){\n  this.ax = ax114;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image694e33f0298f481ca4d357dae5d2885c\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax114.add_element(image694e33f0298f481ca4d357dae5d2885c);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax115 = new Axes(fig, [0.38574766355140189, 0.15339414273231505, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes115\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e115\", true);\n\n\n\n// Add an Axis element\nax115.add_element(new Axis(ax115, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax115.add_element(new Axis(ax115, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image4e95034861d04b0ab65c0052213e89f9 = new function(){\n  this.ax = ax115;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image4e95034861d04b0ab65c0052213e89f9\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax115.add_element(image4e95034861d04b0ab65c0052213e89f9);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax116 = new Axes(fig, [0.4292056074766355, 0.15339414273231505, 0.036214953271028028, 0.037723909657320864], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes116\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e116\", true);\n\n\n\n// Add an Axis element\nax116.add_element(new Axis(ax116, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax116.add_element(new Axis(ax116, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image31b0a2d0b2c54f88866b54c2f02e90df = new function(){\n  this.ax = ax116;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image31b0a2d0b2c54f88866b54c2f02e90df\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax116.add_element(image31b0a2d0b2c54f88866b54c2f02e90df);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax117 = new Axes(fig, [0.47266355140186911, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes117\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e117\", true);\n\n\n\n// Add an Axis element\nax117.add_element(new Axis(ax117, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax117.add_element(new Axis(ax117, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image1a28658ddee749cbafd08d633b1a723d = new function(){\n  this.ax = ax117;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image1a28658ddee749cbafd08d633b1a723d\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax117.add_element(image1a28658ddee749cbafd08d633b1a723d);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax118 = new Axes(fig, [0.51612149532710272, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes118\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e118\", true);\n\n\n\n// Add an Axis element\nax118.add_element(new Axis(ax118, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax118.add_element(new Axis(ax118, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imageedd7031f8b1e4ec28def4d4ff54e806f = new function(){\n  this.ax = ax118;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imageedd7031f8b1e4ec28def4d4ff54e806f\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax118.add_element(imageedd7031f8b1e4ec28def4d4ff54e806f);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax119 = new Axes(fig, [0.55957943925233633, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes119\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e119\", true);\n\n\n\n// Add an Axis element\nax119.add_element(new Axis(ax119, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax119.add_element(new Axis(ax119, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image39697bc94877435685388ca495f44fba = new function(){\n  this.ax = ax119;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image39697bc94877435685388ca495f44fba\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax119.add_element(image39697bc94877435685388ca495f44fba);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax120 = new Axes(fig, [0.60303738317756994, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes120\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e120\", true);\n\n\n\n// Add an Axis element\nax120.add_element(new Axis(ax120, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax120.add_element(new Axis(ax120, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image204b1f5d5b354a1fb225720d37825961 = new function(){\n  this.ax = ax120;\n  this.data = \"data:image/png;base64,\" + \"iVBORw0KGgoAAAANSUhEUgAAABMAAAANCAYAAABLjFUnAAAABHNCSVQICAgIfAhkiAAAAc5JREFUKJFt071rFUEUBfDf7r6Yh4mNRhTtYiQiqJEgxiCCjR9NLBTBKGglGME/wcLeSoigdmKhoqAIQSsRPyJCiClEJaYzoBgEMSFfu2PxnGUfyWlmuDP3zD33nkluh7MhERRSqUIhlQhShYhcJpPLZSARJIIgkSrK8zRIyqREaAQrRCgT4nmQrHhwwRppqpAIZQVxndTllov2+VDGJuz23n6ZvOl+JleTq0WiKjK5fm+0mfXaQedn7znR9sg1V20PX3WMzRnuvaDVYtmWhqIKQcSymlSh1bxM7lj2TJ935tWNJMeN93ab01ZKjQWl1XIjvtnmpcM6Tambd7w+Yo8Jd53TYUarBU8MNEltDGMVdPtip08eO2lUnxaLDnllnw+eO2pRi0tuNuU03FCRWB3/X+2GDDvtgU1+2jz9Q6YwqcsvG81qX9HnUmYkiePOLBvXo9OUF45Ymmn3xzo7fDZmb9PDETWUBozlZnJn5u+7XL+hxZI+o4Z2XXf77RWj/T1mbPDd1iaJidAgi6asSn5YP+W39aZtMeCpteYM9h/w0Z6y+uokC6nkThgMq3ktIro9tiPKq/6E4v8c07gJkqYexH0hLS9X40FSxqPf/gEMibcNRdQoiQAAAABJRU5ErkJggg==\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image204b1f5d5b354a1fb225720d37825961\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax120.add_element(image204b1f5d5b354a1fb225720d37825961);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax121 = new Axes(fig, [0.64649532710280366, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes121\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e121\", true);\n\n\n\n// Add an Axis element\nax121.add_element(new Axis(ax121, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax121.add_element(new Axis(ax121, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imaged71078e949e54c848ea7dc17b38938a1 = new function(){\n  this.ax = ax121;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imaged71078e949e54c848ea7dc17b38938a1\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax121.add_element(imaged71078e949e54c848ea7dc17b38938a1);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax122 = new Axes(fig, [0.68995327102803738, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes122\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e122\", true);\n\n\n\n// Add an Axis element\nax122.add_element(new Axis(ax122, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax122.add_element(new Axis(ax122, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar imagefdd0b566f3f24fe2b69104b4c41706fe = new function(){\n  this.ax = ax122;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"imagefdd0b566f3f24fe2b69104b4c41706fe\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax122.add_element(imagefdd0b566f3f24fe2b69104b4c41706fe);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax123 = new Axes(fig, [0.73341121495327111, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes123\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e123\", true);\n\n\n\n// Add an Axis element\nax123.add_element(new Axis(ax123, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax123.add_element(new Axis(ax123, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image193fd50bc3af4eff955cf7aeb437ac1a = new function(){\n  this.ax = ax123;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image193fd50bc3af4eff955cf7aeb437ac1a\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax123.add_element(image193fd50bc3af4eff955cf7aeb437ac1a);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax124 = new Axes(fig, [0.77686915887850483, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes124\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e124\", true);\n\n\n\n// Add an Axis element\nax124.add_element(new Axis(ax124, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax124.add_element(new Axis(ax124, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image598b54c3e47d4dbcaad4492739df7e45 = new function(){\n  this.ax = ax124;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image598b54c3e47d4dbcaad4492739df7e45\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax124.add_element(image598b54c3e47d4dbcaad4492739df7e45);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax125 = new Axes(fig, [0.82032710280373855, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes125\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e125\", true);\n\n\n\n// Add an Axis element\nax125.add_element(new Axis(ax125, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax125.add_element(new Axis(ax125, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image43b0098a49244653a2b0b14a00e431a0 = new function(){\n  this.ax = ax125;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image43b0098a49244653a2b0b14a00e431a0\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax125.add_element(image43b0098a49244653a2b0b14a00e431a0);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n    var ax126 = new Axes(fig, [0.86378504672897227, 0.15339414273231503, 0.036214953271028083, 0.03772390965732092], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes126\",\n                               \"clip80ac6d004af24339afc2727cfe5f8c9e126\", true);\n\n\n\n// Add an Axis element\nax126.add_element(new Axis(ax126, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax126.add_element(new Axis(ax126, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image0216fe726e9241ddba2092cdbd4406de = new function(){\n  this.ax = ax126;\n  this.data = \"data:image/png;base64,\" + \"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\";\n  this.extent = [-0.5, 899.5, 624.5, -0.5];\n  this.class = \"image0216fe726e9241ddba2092cdbd4406de\";\n\n  this.draw = function(){\n    this.image = this.ax.axes.append(\"svg:image\")\n        .attr('class', this.class)\n        .attr(\"xlink:href\", this.data)\n        .attr(\"preserveAspectRatio\", \"none\");\n    this.zoomed();  // set the initial image location\n  };\n\n  this.zoomed = function(){\n    this.image.attr(\"x\", this.ax.x(this.extent[0]))\n              .attr(\"y\", this.ax.y(this.extent[3]))\n              .attr(\"width\", this.ax.x(this.extent[1])\n                              - this.ax.x(this.extent[0]))\n              .attr(\"height\", this.ax.y(this.extent[2])\n                              - this.ax.y(this.extent[3]));\n  };\n};\nax126.add_element(image0216fe726e9241ddba2092cdbd4406de);\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n      fig.draw();\n\n\n\n      return fig\n    }\n\n    // set a timeout of 0: this makes things work in the IPython notebook\n    setTimeout(function(){\n      // we need to call the function, making sure d3 is defined appropriately\n      if(typeof define === \"function\" && define.amd){\n        // If require.js is available, use it to load d3\n        require.config({paths: {d3: \"http://d3js.org/d3.v3.min\"}});\n        require([\"d3\"], create_fig80ac6d004af24339afc2727cfe5f8c9e);\n      }else if(typeof d3 === \"undefined\"){\n        // No require.js: dynamically load d3\n        var s = document.createElement('script');\n        s.src = \"http://d3js.org/d3.v3.min.js\";\n        s.async = true;\n        s.onreadystatechange = s.onload = s.onerror = function() {\n           if(typeof d3 === \"undefined\"){\n              document.getElementById(\"figure80ac6d004af24339afc2727cfe5f8c9e\").innerHTML =\n                    \"<p style='color:red;'>(d3 failed to load)</p>\";\n           }else{\n              create_fig80ac6d004af24339afc2727cfe5f8c9e(d3);\n           }\n        };\n        document.getElementsByTagName(\"head\")[0].appendChild(s);\n      }else{\n        // d3 is already globally loaded\n        create_fig80ac6d004af24339afc2727cfe5f8c9e(d3);\n      }\n    }, 0);\n\n    </script>\n\n\n\n",
       "metadata": {},
       "output_type": "display_data",
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7gw5bHsb5auyuZfqaXgtv2OjF6beyIwfH2MAW85lOfhobLmIj1wQBAX1jQ2mtu5bTwmNj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\njYxTUy+1jVqxryEZB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       "text": "<matplotlib.figure.Figure at 0x10813d750>"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Stage 4:\n\n* For each pixel, compute mean and variance between all angle & frequency combinations"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "len_x, len_y = img.shape\nmy_vars = zeros((len_x, len_y))\nmy_means = zeros((len_x, len_y))\n\nfor i in range(0, len_x):\n    for j in range(0, len_y):\n        a = []\n        for x in range(0, num_cols*num_rows):\n            a.append(my_output[x][i][j])\n        my_vars[i][j] = np.var(a)\n        my_means[i][j] = np.mean(a)\n        ",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Stage 5:\n\n* For each pixel, compute Z value\n* Z value = (image pixel - mean of pixel / variance of pixel)\n* Display result"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "new_img = (img - my_means) / my_vars\npylab.imshow(new_img)\npylab.imsave('week1_output.png', new_img)",
     "language": "python",
     "metadata": {},
     "outputs": [
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duration : 750;\n      for (var i=0; i<this.axes.length; i++){\n        this.axes[i].prep_reset();\n      }\n\n      var transition = function(t){\n        for (var i=0; i<this.axes.length; i++){\n          this.axes[i].xdom(this.axes[i].xdom.domain(this.axes[i].ix(t)));\n          this.axes[i].ydom(this.axes[i].ydom.domain(this.axes[i].iy(t)));\n\n          // don't propagate: this will be done as part of the loop.\n          this.axes[i].zoomed(false);\n        }\n      }.bind(this)\n\n      d3.transition().duration(duration)\n                     .tween(\"zoom\", function(){return transition;});\n\n      for (var i=0; i<this.axes.length; i++){\n        this.axes[i].finalize_reset();\n      }\n    };\n\n\n\n    function Axes(fig, bbox,\n                  xlim, ylim,\n                  xscale, yscale,\n                  xdomain, ydomain,\n                  xgridOn, ygridOn,\n                  axclass, clipid,\n                  zoomable){\n      this.axnum = fig.axes.length;\n      fig.axes.push(this);\n\n      this.fig = fig;\n      this.bbox = bbox;\n      this.xlim = xlim;\n      this.ylim = ylim;\n      this.xdomain = xdomain;\n      this.ydomain = ydomain;\n      this.xscale = xscale;\n      this.yscale = yscale;\n      this.xgridOn = xgridOn;\n      this.ygridOn = ygridOn;\n      this.axclass = (typeof axclass !== 'undefined') ? axclass : \"axes\";\n      this.clipid = (typeof clipid != 'undefined') ? clipid : \"clip\";\n      this.zoomable = zoomable;\n\n      this.sharex = [];\n      this.sharey = [];\n      this.elements = [];\n\n      this.position = [this.bbox[0] * this.fig.width,\n                       (1 - this.bbox[1] - this.bbox[3]) * this.fig.height];\n      this.width = bbox[2] * this.fig.width;\n      this.height = bbox[3] * this.fig.height;\n\n      if(this.xscale === 'log'){\n        this.xdom = d3.scale.log();\n      }else if(this.xscale === 'date'){\n        this.xdom = d3.time.scale();\n      }else{\n        this.xdom = d3.scale.linear();\n      }\n\n      if(this.yscale === 'log'){\n        this.ydom = d3.scale.log();\n      }else if(this.yscale === 'date'){\n        this.ydom = d3.time.scale();\n      }else{\n        this.ydom = d3.scale.linear();\n      }\n\n      this.xdom.domain(this.xdomain)\n            .range([0, this.width]);\n\n      this.ydom.domain(this.ydomain)\n            .range([this.height, 0]);\n\n      if(this.xscale === 'date'){\n         this.xmap = d3.time.scale()\n                           .domain(this.xdomain)\n                           .range(this.xlim);\n         this.x = function(x){return this.xdom(this.xmap.invert(x));}\n      }else if(this.xscale === 'log'){\n         this.xmap = this.xdom;\n         this.x = this.xdom;\n      }else{\n         this.xmap = this.xdom;\n         this.x = this.xdom;\n      }\n\n      if(this.yscale === 'date'){\n         this.ymap = d3.time.scale()\n                              .domain(this.ydomain)\n                              .range(this.ylim);\n         this.y = function(y){return this.ydom(this.ymap.invert(y));}\n      }else if(this.xscale === 'log'){\n         this.ymap = this.ydom;\n         this.y = this.ydom;\n      }else{\n         this.ymap = this.ydom;\n         this.y = this.ydom;\n      }\n    }\n\n    Axes.prototype.draw = function(){\n      this.zoom = d3.behavior.zoom()\n                          .x(this.xdom)\n                          .y(this.ydom)\n                          .on(\"zoom\", this.zoomed.bind(this));\n\n      this.baseaxes = this.fig.canvas.append(\"g\")\n                             .attr('transform', 'translate('\n                                                 + this.position[0] + ','\n                                                 + this.position[1] + ')')\n                             .attr('width', this.width)\n                             .attr('height', this.height)\n                             .attr('class', \"baseaxes\");\n\n      if(this.zoomable){\n        this.baseaxes.call(this.zoom);\n      }\n\n      this.axesbg = this.baseaxes.append(\"svg:rect\")\n                             .attr(\"width\", this.width)\n                             .attr(\"height\", this.height)\n                             .attr(\"class\", \"axesbg\");\n\n      this.clip = this.baseaxes.append(\"svg:clipPath\")\n                          .attr(\"id\", this.clipid)\n                          .append(\"svg:rect\")\n                             .attr(\"x\", 0)\n                             .attr(\"y\", 0)\n                             .attr(\"width\", this.width)\n                             .attr(\"height\", this.height)\n\n      this.axes = this.baseaxes.append(\"g\")\n                           .attr(\"class\", this.axclass)\n                           .attr(\"clip-path\", \"url(#\" + this.clipid + \")\");\n\n      for(var i=0; i<this.elements.length; i++){\n        this.elements[i].draw();\n      }\n    };\n\n    Axes.prototype.zoomed = function(propagate){\n      // propagate is a boolean specifying whether to propagate movements\n      // to shared axes, specified by sharex and sharey.  Default is true.\n      propagate = (typeof propagate == 'undefined') ? true : propagate;\n\n      //console.log(this.zoom.translate());\n      //console.log(this.zoom.scale());\n      //console.log(this.zoom.x().domain());\n      //console.log(this.zoom.y().domain());\n\n      for(var i=0; i<this.elements.length; i++){\n        this.elements[i].zoomed();\n      }\n\n      if(propagate){\n        // update shared x axes\n        for(var i=0; i<this.sharex.length; i++){\n          this.sharex[i].zoom.x().domain(this.zoom.x().domain());\n          this.sharex[i].zoomed(false);\n        }\n        // update shared y axes\n        for(var i=0; i<this.sharey.length; i++){\n          this.sharey[i].zoom.y().domain(this.zoom.y().domain());\n          this.sharey[i].zoomed(false);\n        }\n      }\n    };\n\n    Axes.prototype.add_element = function(element){\n      this.elements.push(element);\n    };\n\n    Axes.prototype.prep_reset = function(){\n      // interpolate() does not work on dates, so we map dates to numbers,\n      // interpolate the numbers, and then invert the map.\n      // we use the same strategy for log, so the interpolation will be smooth.\n      // There probably is a cleaner approach...\n\n      if (this.xscale === 'date'){\n        var start = this.xdom.domain();\n        var end = this.xdomain;\n        var interp = d3.interpolate(\n                [this.xmap(start[0]), this.xmap(start[1])],\n                [this.xmap(end[0]), this.xmap(end[1])]);\n        this.ix = function(t){\n          return [this.xmap.invert(interp(t)[0]),\n                  this.xmap.invert(interp(t)[1])];\n        }\n      }else{\n        this.ix = d3.interpolate(this.xdom.domain(), this.xlim);\n      }\n\n      if (this.yscale === 'date'){\n        var start = this.ydom.domain();\n        var end = this.ydomain;\n        var interp = d3.interpolate(\n                [this.ymap(start[0]), this.ymap(start[1])],\n                [this.ymap(end[0]), this.ymap(end[1])]);\n        this.iy = function(t){\n          return [this.ymap.invert(interp(t)[0]),\n                  this.ymap.invert(interp(t)[1])];\n        }\n      }else{\n        this.iy = d3.interpolate(this.ydom.domain(), this.ylim);\n      }\n    }\n\n    Axes.prototype.finalize_reset = function(){\n      this.zoom.scale(1).translate([0, 0]);\n    }\n\n    Axes.prototype.reset = function(){\n      this.prep_reset();\n      d3.transition().duration(750).tween(\"zoom\", function() {\n        return function(t) {\n          this.zoom.x(this.xdom.domain(this.ix(t)))\n                   .y(this.ydom.domain(this.iy(t)));\n          this.zoomed();\n        };\n      });\n      this.finalize_reset();\n    };\n\n\n\n    function Axis(axes, position, nticks, tickvalues, tickformat){\n      this.axes = axes;\n      this.position = position;\n      this.nticks = nticks;\n      this.tickvalues = tickvalues;\n      this.tickformat = tickformat;\n      if (position == \"bottom\"){\n        this.transform = \"translate(0,\" + this.axes.height + \")\";\n        this.scale = this.axes.xdom;\n        this.class = \"x axis\";\n      }else if (position == \"top\"){\n        this.transform = \"translate(0,0)\"\n        this.scale = this.axes.xdom;\n        this.class = \"x axis\";\n      }else if (position == \"left\"){\n        this.transform = \"translate(0,0)\";\n        this.scale = this.axes.ydom;\n        this.class = \"y axis\";\n      }else{\n        this.transform = \"translate(\" + this.axes.width + \",0)\";\n        this.scale = this.axes.ydom;\n        this.class = \"y axis\";\n      }\n    }\n\n    Axis.prototype.draw = function(){\n      this.axis = d3.svg.axis()\n                          .scale(this.scale)\n                          .orient(this.position)\n                          .ticks(this.nticks)\n                          .tickValues(this.tickvalues)\n                          .tickFormat(this.tickformat);\n      this.elem = this.axes.baseaxes.append('g')\n                        .attr(\"transform\", this.transform)\n                        .attr(\"class\", this.class)\n                        .call(this.axis);\n    };\n\n    Axis.prototype.zoomed = function(){\n      this.elem.call(this.axis);\n    };\n\n\n\n    function Grid(axes, xy){\n      this.axes = axes;\n      this.class = xy + \" grid\"\n      if(xy == \"x\"){\n        this.transform = \"translate(0,\" + this.axes.height + \")\";\n        this.position = \"bottom\";\n        this.scale = this.axes.xdom;\n        this.tickSize = -this.axes.height;\n      }else{\n        this.transform = \"translate(0,0)\";\n        this.position = \"left\";\n        this.scale = this.axes.ydom;\n        this.tickSize = -this.axes.width;\n      }\n    }\n\n    Grid.prototype.draw = function(){\n      this.grid = d3.svg.axis()\n                          .scale(this.scale)\n                          .orient(this.position)\n                          .tickSize(this.tickSize, 0, 0)\n                          .tickFormat(\"\");\n      this.elem = this.axes.axes.append(\"g\")\n                          .attr(\"class\", this.class)\n                          .attr(\"transform\", this.transform)\n                          .call(this.grid);\n    };\n\n    Grid.prototype.zoomed = function(){\n      this.elem.call(this.grid);\n    };\n\n\n\n    // This function constructs a mapped SVG path\n    // from an input data array\n    var construct_SVG_path = function(data, xmap, ymap){\n       var result = \"\";\n       for (var i=0;i<data.length;i++){\n          result += data[i][0];\n          if(data[i][0] == 'Z'){\n            continue;\n          }\n          for (var j=0;j<data[i][1].length;j++){\n            if(j % 2 == 0){\n               result += \" \" + xmap(data[i][1][j]);\n            }else{\n               result += \" \" + ymap(data[i][1][j]);\n            }\n          }\n          result += \" \";\n       }\n       return result;\n     };\n\n\n      var figwidth = 6.0 * 80;\n      var figheight = 4.0 * 80;\n      var fig = new Figure(\"div#figuredbf880fe44e04f8b8c60e6db0e704bd5\",\n                           figwidth, figheight);\n\n\n\n    var ax1 = new Axes(fig, [0.14050000000000001, 0.125, 0.74399999999999999, 0.77500000000000002], [-0.5, 899.5], [624.5, -0.5],\n                               \"linear\", \"linear\",\n                               [-0.5, 899.5], [624.5, -0.5],\n                               false, false,\n                               \"axes1\",\n                               \"clipdbf880fe44e04f8b8c60e6db0e704bd51\", true);\n\n\n\n// Add an Axis element\nax1.add_element(new Axis(ax1, \"bottom\",\n                                 7, null,\n                                 null));\n\n\n\n// Add an Axis element\nax1.add_element(new Axis(ax1, \"left\",\n                                 9, null,\n                                 null));\n\n\n\n// Add an Image element\nvar image9ef6a02f9c3945d68f7a430ec8fa67c8 = new function(){\n  this.ax = ax1;\n  this.data = \"data:image/png;base64,\" + \"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\";\n 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iWw3ZF9WqU5Upiwc2OGG5PqC+hColtEzwxQ5wXR7q7/QyrTN9oaK9B+9Y6H1r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\nM35+QmgEDeFWw+SEewbdY2MK0ZZbXT6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