{
 "metadata": {
  "name": "",
  "signature": "sha256:90e7a65f51e5c7a421720785d1041d94d7177b99390a5fd7fc5bb25c7898fe57"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import numpy as np\n",
      "import pylab as plt\n",
      "from matplotlib import animation\n",
      "# JSAnimation import available at https://github.com/jakevdp/JSAnimation\n",
      "# Documentation at http://nbviewer.ipython.org/github/jakevdp/JSAnimation/blob/master/animation_example.ipynb\n",
      "from JSAnimation import IPython_display as display\n",
      "\n",
      "swarm_params = { 'Npart' : 100 , 'Noverdense' : 0, 'Nunderdense': 0}\n",
      "color_dict = { 'particle' : 'k.', 'overdense' : 'r.', 'underdense' : 'b.'}\n",
      "collapseParam = 2\n",
      "\n",
      "fig = plt.figure()\n",
      "ax = plt.axes(xlim=(-100, 100), ylim=(-100, 100))\n",
      "line, = ax.plot([], [], 'b.', ms=10)\n",
      "\n",
      "class agent():\n",
      "    def __init__(self,id_number,pars):\n",
      "        self.name = id_number\n",
      "        self.xpos = pars['x_init']\n",
      "        self.ypos = pars['y_init']\n",
      "        self.cat = pars['cat']\n",
      "        self.direction = 2*np.math.pi*np.random.rand(1)\n",
      "        return None\n",
      "    \n",
      "    def update_position(self, newx, newy):\n",
      "        self.xpos = newx\n",
      "        self.ypos = newy\n",
      "        return None\n",
      "    \n",
      "    def changeDirection(self, newdir):\n",
      "        self.direction = newdir\n",
      "    \n",
      "def agentSep(agent1,agent2):\n",
      "    return np.sqrt((agent1.xpos-agent2.xpos)**2+(agent1.ypos-agent2.ypos)**2)\n",
      "\n",
      "class swarm():\n",
      "    \n",
      "    def __init__(self, pars):\n",
      "        \n",
      "        self.members = []\n",
      "        \n",
      "        for i in np.arange(pars['Npart']):\n",
      "            temp = agent(i,{'x_init':0, 'y_init':0, 'cat': 'particle'})\n",
      "            self.members.append(temp)\n",
      "    \n",
      "    def timeEvolveBeforeDecoupling(self, N):\n",
      "        counter = 0\n",
      "        while counter < N:\n",
      "            for member in self.members:\n",
      "                member.update_position(member.xpos+np.cos(member.direction),member.ypos+np.sin(member.direction))\n",
      "            counter += 1\n",
      "        \n",
      "    def timeEvolveAfterDecoupling(self,N):\n",
      "        counter = 0\n",
      "        while counter < N:\n",
      "            for member in self.members:\n",
      "                minDist = 10000\n",
      "                ydiff = 1000\n",
      "                xdiff = 1000\n",
      "                for other in self.members:\n",
      "                    if agentSep(member,other) < minDist and other.name != member.name:\n",
      "                        minDist = agentSep(member,other)\n",
      "                        xdiff = other.xpos - member.xpos\n",
      "                        ydiff = other.ypos - member.ypos\n",
      "                #member.changeDirection(np.arctan2(ydiff,xdiff))\n",
      "                if agentSep(member,other) != 0:\n",
      "                    member.update_position(member.xpos+collapseParam*xdiff/agentSep(member,other),member.ypos+collapseParam*ydiff/agentSep(member,other))\n",
      "            counter += 1\n",
      "                \n",
      "    def showCurrentState(self):\n",
      "        plt.figure()\n",
      "        plt.grid(b=True, which='major', color='0.65',linestyle='-')\n",
      "        for member in self.members:\n",
      "            plt.plot(member.xpos,member.ypos,'b.')\n",
      "        \n",
      "    def animInit(self):\n",
      "        line.set_data([], [])\n",
      "        return line,\n",
      "    \n",
      "    def makeAnim(self,i):\n",
      "        if i < 50:\n",
      "            self.timeEvolveBeforeDecoupling(1)\n",
      "        else: \n",
      "            self.timeEvolveAfterDecoupling(1)\n",
      "        xvec = []\n",
      "        yvec = []\n",
      "        for member in self.members:\n",
      "            xvec.append(member.xpos)\n",
      "            yvec.append(member.ypos)\n",
      "        line.set_data(np.array(xvec),np.array(yvec))\n",
      "        return line\n",
      "    \n",
      "    def play(self):\n",
      "        movie = animation.FuncAnimation(fig, self.makeAnim, init_func=self.animInit,\n",
      "                        frames=100, interval=20, blit=True)\n",
      "        return movie"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEACAYAAABRQBpkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1074c0c10>"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "classroom = swarm(swarm_params)\n",
      "classroom.timeEvolveBeforeDecoupling(5)\n",
      "classroom.showCurrentState()\n",
      "classroom.timeEvolveAfterDecoupling(10)\n",
      "classroom.showCurrentState()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x1074ca890>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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b16q2dXQkK22aJev95PXBZMz/d5JkZnL3hiMbWc3ETP8ugBn19jJsguKYvkwy6/3kJ5MA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\nRK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10688fc10>"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "classroom = swarm(swarm_params)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "classroom.play()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "<script language=\"javascript\">\n",
        "  /* Define the Animation class */\n",
        "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
        "    this.img_id = img_id;\n",
        "    this.slider_id = slider_id;\n",
        "    this.loop_select_id = loop_select_id;\n",
        "    this.interval = interval;\n",
        "    this.current_frame = 0;\n",
        "    this.direction = 0;\n",
        "    this.timer = null;\n",
        "    this.frames = new Array(frames.length);\n",
        "\n",
        "    for (var i=0; i<frames.length; i++)\n",
        "    {\n",
        "     this.frames[i] = new Image();\n",
        "     this.frames[i].src = frames[i];\n",
        "    }\n",
        "    document.getElementById(this.slider_id).max = this.frames.length - 1;\n",
        "    this.set_frame(this.current_frame);\n",
        "  }\n",
        "\n",
        "  Animation.prototype.get_loop_state = function(){\n",
        "    var button_group = document[this.loop_select_id].state;\n",
        "    for (var i = 0; i < button_group.length; i++) {\n",
        "        var button = button_group[i];\n",
        "        if (button.checked) {\n",
        "            return button.value;\n",
        "        }\n",
        "    }\n",
        "    return undefined;\n",
        "  }\n",
        "\n",
        "  Animation.prototype.set_frame = function(frame){\n",
        "    this.current_frame = frame;\n",
        "    document.getElementById(this.img_id).src = this.frames[this.current_frame].src;\n",
        "    document.getElementById(this.slider_id).value = this.current_frame;\n",
        "  }\n",
        "\n",
        "  Animation.prototype.next_frame = function()\n",
        "  {\n",
        "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
        "  }\n",
        "\n",
        "  Animation.prototype.previous_frame = function()\n",
        "  {\n",
        "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
        "  }\n",
        "\n",
        "  Animation.prototype.first_frame = function()\n",
        "  {\n",
        "    this.set_frame(0);\n",
        "  }\n",
        "\n",
        "  Animation.prototype.last_frame = function()\n",
        "  {\n",
        "    this.set_frame(this.frames.length - 1);\n",
        "  }\n",
        "\n",
        "  Animation.prototype.slower = function()\n",
        "  {\n",
        "    this.interval /= 0.7;\n",
        "    if(this.direction > 0){this.play_animation();}\n",
        "    else if(this.direction < 0){this.reverse_animation();}\n",
        "  }\n",
        "\n",
        "  Animation.prototype.faster = function()\n",
        "  {\n",
        "    this.interval *= 0.7;\n",
        "    if(this.direction > 0){this.play_animation();}\n",
        "    else if(this.direction < 0){this.reverse_animation();}\n",
        "  }\n",
        "\n",
        "  Animation.prototype.anim_step_forward = function()\n",
        "  {\n",
        "    this.current_frame += 1;\n",
        "    if(this.current_frame < this.frames.length){\n",
        "      this.set_frame(this.current_frame);\n",
        "    }else{\n",
        "      var loop_state = this.get_loop_state();\n",
        "      if(loop_state == \"loop\"){\n",
        "        this.first_frame();\n",
        "      }else if(loop_state == \"reflect\"){\n",
        "        this.last_frame();\n",
        "        this.reverse_animation();\n",
        "      }else{\n",
        "        this.pause_animation();\n",
        "        this.last_frame();\n",
        "      }\n",
        "    }\n",
        "  }\n",
        "\n",
        "  Animation.prototype.anim_step_reverse = function()\n",
        "  {\n",
        "    this.current_frame -= 1;\n",
        "    if(this.current_frame >= 0){\n",
        "      this.set_frame(this.current_frame);\n",
        "    }else{\n",
        "      var loop_state = this.get_loop_state();\n",
        "      if(loop_state == \"loop\"){\n",
        "        this.last_frame();\n",
        "      }else if(loop_state == \"reflect\"){\n",
        "        this.first_frame();\n",
        "        this.play_animation();\n",
        "      }else{\n",
        "        this.pause_animation();\n",
        "        this.first_frame();\n",
        "      }\n",
        "    }\n",
        "  }\n",
        "\n",
        "  Animation.prototype.pause_animation = function()\n",
        "  {\n",
        "    this.direction = 0;\n",
        "    if (this.timer){\n",
        "      clearInterval(this.timer);\n",
        "      this.timer = null;\n",
        "    }\n",
        "  }\n",
        "\n",
        "  Animation.prototype.play_animation = function()\n",
        "  {\n",
        "    this.pause_animation();\n",
        "    this.direction = 1;\n",
        "    var t = this;\n",
        "    if (!this.timer) this.timer = setInterval(function(){t.anim_step_forward();}, this.interval);\n",
        "  }\n",
        "\n",
        "  Animation.prototype.reverse_animation = function()\n",
        "  {\n",
        "    this.pause_animation();\n",
        "    this.direction = -1;\n",
        "    var t = this;\n",
        "    if (!this.timer) this.timer = setInterval(function(){t.anim_step_reverse();}, this.interval);\n",
        "  }\n",
        "</script>\n",
        "\n",
        "<div class=\"animation\" align=\"center\">\n",
        "    <img id=\"_anim_imgYKBXXNEPPJPOCDBF\">\n",
        "    <br>\n",
        "    <input id=\"_anim_sliderYKBXXNEPPJPOCDBF\" type=\"range\" style=\"width:350px\" name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\" onchange=\"animYKBXXNEPPJPOCDBF.set_frame(parseInt(this.value));\"></input>\n",
        "    <br>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.slower()\">&#8211;</button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.first_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,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\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.previous_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAgyTCyQ6wAAANRJREFUKM9jYBjO4AiUfgzFGGAp4+yayUvX6jMwMDCsYmBgOCS4OAOrSYmMgcc8/pd5Q3irC+Neh/1AlmeBMVgZmP8yMLD8/c/cqv9r90whzv/MX7Eq/MfAwMDIwCuZdfSV8U8WDgZGRmYGrAoZGRgY/jO8b3sj/J2F6T8j4z80pzEhmIwMjAxsSbqqlkeZGP//Z8SlkJnhPwMjwx/Guoe1NhmRwk+YGH5jV8jOwMPHzcDBysAwh8FrxQwtPU99HrwBXsnAwMDAsJiBgYGBoZ1xmKYqALHhMpn1o7igAAAAAElFTkSuQmCC\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.reverse_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,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\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.pause_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkR91DQ2AAAAKtJREFUKM9jYCANTEVib2K4jcRbzQihGWEC00JuNjN8Z2Q0Zo3VYWA4lL005venH9+c3ZK5IfIsMIXMBtc12Bj+MMgxMDAwMPzWe2TBzPCf4SLcZCYY4/9/RgZGBiaYFf8gljFhKiQERhUOeoX/Gf8y/GX4y/APmlj+Mfxj+MfwH64Qnnq0zr9fyfLrPzP3eQYGBobvk5x4GX4xMIij23gdib0cRWYHiVmAAQDK5ircshCbHQAAAABJRU5ErkJggg==\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.play_animation()\"><img class=\"anim_icon\" src=\"data:image/png;base64,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\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.next_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAkd/uac8wAAAMhJREFUKM9jYBie4DEUQ8B+fEq3+3UrMzAwMFxjYGBgYJizYubaOUxYFUaXh/6vWfRfEMIL/+//P5gZJoei4/f/7wxnY1PeNUXdE2RgYGZgYoCrY2BBVsjKwMDAwvCS4f3SG/dXxm5gYESSQ1HIwvCPgZmB8f8Pxv+Kxxb/YfiPJIdi9T8GJgaG/38ZFd4Fx0xUYsZt4h8GBgb2D2bLy7KnMTAwMEIxFoVCXIYr1IoDnkF4XAysqNIwUMDAwMDAsADKS2NkGL4AAIARMlfNIfZMAAAAAElFTkSuQmCC\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.last_frame()\"><img class=\"anim_icon\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAQAAAAngNWGAAAAAXNSR0IArs4c6QAAAAJiS0dEAP+Hj8y/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3QURCAknOOpFQQAAAS9JREFUKM/dkrEvQ3EQxz/33mtoQxiYpANbLU26NAabSCcSUouGBVNDjYQaOiDpIEiKjURIw2Kx04hEYmkHEpGoJpSISaXq9Wd4P03/ht5y98197/u9XA4aK4rAWw3lgWddZ3S+/G9mEovtAB8AHE4pgTQAx8PbJweRmsq6GimmNpxaNYXVzMNNCI6A2figimwCGACK786zuWgh3qcsKf/w0pM4X0m/doNVFVzVGlEQsdRj193VxEWpH0RsdRu+zi3tVMqCAsDShoiYqiSV4OouVDFEqS9Pbiyg7vV62lpQ2BJ4Gg0meg0MbNpkYG/e+540NNFyrE1a8qHk5BaAjfnrzUaHfAWImVrLIXbgnx4/9X06s35cweWsVACa3a24PVp0X+rPv1aHFnSONdiL8Qci0lzwpOM5sQAAAABJRU5ErkJggg==\"></button>\n",
        "    <button onclick=\"animYKBXXNEPPJPOCDBF.faster()\">+</button>\n",
        "  <form action=\"#n\" name=\"_anim_loop_selectYKBXXNEPPJPOCDBF\" class=\"anim_control\">\n",
        "    <input type=\"radio\" name=\"state\" value=\"once\" > Once </input>\n",
        "    <input type=\"radio\" name=\"state\" value=\"loop\" checked> Loop </input>\n",
        "    <input type=\"radio\" name=\"state\" value=\"reflect\" > Reflect </input>\n",
        "  </form>\n",
        "</div>\n",
        "\n",
        "\n",
        "<script language=\"javascript\">\n",
        "  /* Instantiate the Animation class. */\n",
        "  /* The IDs given should match those used in the template above. */\n",
        "  (function() {\n",
        "    var img_id = \"_anim_imgYKBXXNEPPJPOCDBF\";\n",
        "    var slider_id = \"_anim_sliderYKBXXNEPPJPOCDBF\";\n",
        "    var loop_select_id = \"_anim_loop_selectYKBXXNEPPJPOCDBF\";\n",
        "    var frames = new Array(0);\n",
        "    \n",
        "  frames[0] = \"data:image/png;base64,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\"\n",
        "  frames[1] = 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\"\n",
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        "  frames[3] = 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        "  frames[4] = 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\"\n",
        "  frames[5] = 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\"\n",
        "  frames[6] = 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        "  frames[7] = 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\"\n",
        "  frames[8] = 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\"\n",
        "  frames[9] = 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\"\n",
        "  frames[10] = 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\"\n",
        "  frames[11] = 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        "  frames[12] = 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\"\n",
        "  frames[13] = 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        "  frames[14] = 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\"\n",
        "  frames[15] = 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        "  frames[16] = 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\"\n",
        "  frames[17] = 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\"\n",
        "  frames[18] = 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        "  frames[19] = 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        "  frames[20] = 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\"\n",
        "  frames[21] = 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\"\n",
        "  frames[22] = 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\"\n",
        "  frames[23] = 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\"\n",
        "  frames[24] = 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rvFOnQKWEGCAvNC57z7piScuh9jISsWRkdcIx7m89Hzs1N20aamDcPT33nFH8hTkSFh99ZX3eMYM7/OZM1eue2R/x9FToQUFUizGaAvZjylE4P/V1nojlrErFUfv1D4SaulGNJcupQ8vyRu9nTyZPAXZ3u5t8TQSlmfOjG+bq4IC6aGHEncdee45wgu5gevAgHGoqvKmDVetSgyvdLtbXM3Y3S8m83MYaeF6sNR3MoUIjEO6EdfYqbuBgeRNg1MZz+4XgYA3Yht7Pddtt0mLFnkjL5bCI5cxAgO+pR07vPNQDz0k/fa33hThldx2W/JF1NXVUmOj9PXX3uPp06WHH5aWL5f++Efp/Hlv14wnnyS0cH1Z6jsJMOAaq6qS9u/3RmKBgDcy6+nxnnv44fSjuR07vLByXS40hn8s9Z0EGAAgzlLfySpEAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwKSMDbC6ujqFw2EtWbJES5Ys0cGDB+PPbd26VSUlJYpGo2pubvaxSgCAXwJ+F5CO4zjavHmzNm/enHC8ra1NjY2NamtrU3d3t1auXKn29nZNm5axWQwAuA4yutd3XTfp2L59+1RVVaX8/HxFIhEVFxertbXVh+oAAH7K6AB76aWXVF5erg0bNmhgYECSdPr0aYXD4fhrwuGwuru7/SoRAOATXwMsFouprKws6WP//v2qra1VZ2enjh49qsLCQj399NNpf47jOFNYNQAgE/h6DuzQoUPjet3GjRv1wAMPSJJCoZC6urriz506dUqhUCjl99XV1cW/rqioUEVFxaRrBYBs1NLSopaWFr/LmBTHTXWiKQP09PSosLBQkvTiiy/qgw8+0Guvvaa2tjY9+uijam1tjS/iOH78eNIozHGclOfQAADpWeo7M3YV4pYtW3T06FE5jqM77rhDf/nLXyRJpaWlWrdunUpLSxUIBLR9+3amEAEgB2XsCOzbsvRbBABkCkt9Z0avQgQAIB0CDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAkwgwAIBJBBgAwCQCDABgEgEGADCJAAMAmESAAQBMIsAAACYRYAAAk3wNsL/97W+6++67lZeXp48++ijhua1bt6qkpETRaFTNzc3x40eOHFFZWZlKSkr01FNPTXXJAIAM4WuAlZWVac+ePfrud7+bcLytrU2NjY1qa2tTU1OTNm3aJNd1JUm1tbXauXOnOjo61NHRoaamJj9KzzktLS1+l5A1aMtri/bMXb4GWDQa1aJFi5KO79u3T1VVVcrPz1ckElFxcbEOHz6snp4eXbhwQcuWLZMk/fjHP9bevXunuuycRCdx7dCW1xbtmbsy8hzY6dOnFQ6H44/D4bC6u7uTjodCIXV3d/tRIgDAZ4Hr/QfEYjH19vYmHX/hhRf0wAMPXO8/HgCQpa57gB06dGjC3xMKhdTV1RV/fOrUKYXDYYVCIZ06dSrheCgUSvtzHMeZ8J+N9H7961/7XULWoC2vLdozN133ABuvkUUaklRZWalHH31UmzdvVnd3tzo6OrRs2TI5jqNZs2bp8OHDWrZsmV555RU9+eSTV/15AIDs4+s5sD179mjhwoV6//339f3vf19r1qyRJJWWlmrdunUqLS3VmjVrtH379vhoavv27dq4caNKSkpUXFys1atX+/lXAAD4xHEZqgAADMrIVYgTwcXQ109dXZ3C4bCWLFmiJUuW6ODBg/Hn0rUtrqypqUnRaFQlJSXatm2b3+WYFIlEtHjxYi1ZsiR+SU1/f79isZgWLVqkVatWaWBgwOcqM9Pjjz+uYDCosrKy+LErtV3Gv89d444dO+Z+/PHHbkVFhXvkyJH48X//+99ueXm5Ozg46HZ2drpFRUXupUuXXNd13e985zvu4cOHXdd13TVr1rgHDx70pfZMV1dX5/7ud79LOp6qbYeHh32o0JahoSG3qKjI7ezsdAcHB93y8nK3ra3N77LMiUQi7rlz5xKO/exnP3O3bdvmuq7r1tfXu1u2bPGjtIz3zjvvuB999JF7zz33xI+lazsL73PzIzAuhr6+3BQzzKnatrW11YfqbGltbVVxcbEikYjy8/O1fv167du3z++yTBr7/3L//v2qrq6WJFVXV/OeTmP58uWaM2dOwrF0bWfhfW4+wNLhYuhr46WXXlJ5ebk2bNgQn1pI17a4su7ubi1cuDD+mHabHMdxtHLlSi1dulQvv/yyJKmvr0/BYFCSFAwG1dfX52eJpqRrOwvv84xZRn8lXAx9/aRr2+eff161tbX61a9+JUn65S9/qaefflo7d+5M+XO45u7qaKNr491331VhYaE+++wzxWIxRaPRhOcdx6GtJ+lqbZdp7WoiwPy8GDrbjbdtN27cGP9lIVXb5nIbjtfYduvq6kr4DRfjU1hYKEm65ZZbtHbtWrW2tioYDKq3t1cLFixQT0+P5s+f73OVdqRrOwvv86yaQnTHXAz9+uuva3BwUJ2dnfGLoRcsWBC/GNp1Xb3yyit68MEHfaw6c/X09MS/3rNnT3zlUrq2xZUtXbpUHR0d+uSTTzQ4OKjGxkZVVlb6XZYpX375pS5cuCBJunjxopqbm1VWVqbKyko1NDRIkhoaGnhPT0C6tjPxPvd3Dcm398Ybb7jhcNi94YYb3GAw6K5evTr+3PPPP+8WFRW5d955p9vU1BQ//uGHH7r33HOPW1RU5P70pz/1o2wTfvSjH7llZWXu4sWL3R/84Adub29v/Ll0bYsrO3DggLto0SK3qKjIfeGFF/wux5yTJ0+65eXlbnl5uXv33XfH2/DcuXPuihUr3JKSEjcWi7nnz5/3udLMtH79erewsNDNz893w+Gw+9e//vWKbZfp73MuZAYAmJRVU4gAgNxBgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYNL/AZ9bc+FNElKdAAAAAElFTkSuQmCC\"\n",
        "  frames[25] = 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\"\n",
        "  frames[26] = 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\"\n",
        "  frames[27] = 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\"\n",
        "  frames[28] = 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\"\n",
        "  frames[29] = 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        "  frames[30] = 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mQIsXSjkdZf98585KZIvJroOhdwyxQhLdSfrwJD3Mq0XSzc8LH30kdTQkD8tj/QxrkOHsr/2uuu87lbCC5bQAkNBmGi9WML06dL114/c+2rGDG8TW4vdjOktrkzh7TjSnDnSxo2EFzyW6k4CDAWlsVHavj1zK0ySbrzRu2HmaDNnSr//ffAq+Il2zcjUZRgOe2NcRUXez7V5c/B+LvjLUt1JFyIKSlubt8VUV9fYOwnffLN0yy1jK/1z57zWm98V/egZhOfPeyE8+mcoKfFamtnKWVLibXZ88iS7ySM/EGAoOPv3exX9889L/f3eVPIVK7yxr3h87OtnzkxdzJup5TNjxtTtIZjt/SeaQZjYNSMRTKPH/hJLCrZvv7IyAUFEFyIwSmOjd5+xL77wnk+fLj34YGrFn941V1LiTcsfb2wtYbzZjongOngwNagm+/6hkBfKo1tW3L8Ll8tS3UmAAWlaW6X/+z9vgsOjj46t+LOtKztzZvLfY/XqsbMdx5vmPtH7O450113cIRlfnaW6ky5EIE1T0+W1VhItpMsJsH37pu79w2FvUTbhhUJDgAGXKdPYUjjsTdHPNrsx3dKlk3tdYn1WOOwF2MmTIzMI772XCRkobHQhAlcg09hSps2EM8m2QW5jo/T6614ozZzphdfo9VmMZyEXLNWdBBgwhVpbpeZm6fRpb0H0d7/rTcpIn+043tcTUvCTpbqTAAMAJFmqO7mhJQDAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMCmwAdbc3KxYLKa6ujrV1dVp7969yXObNm1SZWWlqqqqtO9ybqwEAMgbgb0fmOM4Wr9+vdavX59yvLu7W+3t7eru7lZ/f7+WLFminp4eFRUFNosBAFdBoGv9TDsi7969Ww0NDQqHwyorK1NFRYW6urp8KB0AwE+BDrAXXnhBtbW1WrNmjc78737qx48fVywWS74mFoupv7/fryICAHzia4DV19erpqZmzGPPnj1qampSb2+vDh48qNLSUj3++ONZ38dxnByWGgAQBL6Ogb3xxhuTet3atWt13333SZKi0aj6+vqS544dO6ZoNJrx65qbm5P/jsfjisfjV1xWAMhHnZ2d6uzs9LsYVySwd2QeGBhQaWmpJOm5557TO++8o+3bt6u7u1sPPfSQurq6kpM4jhw5MqYVZumuogAQFJbqzsDOQtywYYMOHjwox3F0yy236I9//KMkqbq6WqtWrVJ1dbVCoZC2bNlCFyIAFKDAtsC+Kkt/RQBAUFiqOwM9CxEAgGwIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATPI1wP7617/q9ttv17Rp0/T++++nnNu0aZMqKytVVVWlffv2JY+/9957qqmpUWVlpR577LFcFxkAEBC+BlhNTY127typ73znOynHu7u71d7eru7ubnV0dOiRRx6R67qSpKamJm3dulWHDx/W4cOH1dHR4UfRC05nZ6ffRcgbXMupxfUsXL4GWFVVlRYsWDDm+O7du9XQ0KBwOKyysjJVVFTowIEDGhgY0NmzZ7Vo0SJJ0s9+9jPt2rUr18UuSFQSU4drObW4noUrkGNgx48fVywWSz6PxWLq7+8fczwajaq/v9+PIgIAfBa62t+gvr5eg4ODY44/++yzuu+++672twcA5KmrHmBvvPHGZX9NNBpVX19f8vmxY8cUi8UUjUZ17NixlOPRaDTr+ziOc9nfG9n99re/9bsIeYNrObW4noXpqgfYZCUmaUjSihUr9NBDD2n9+vXq7+/X4cOHtWjRIjmOo1mzZunAgQNatGiRtm3bpkcffXTC9wMA5B9fx8B27typefPmaf/+/br33nu1fPlySVJ1dbVWrVql6upqLV++XFu2bEm2prZs2aK1a9eqsrJSFRUVWrZsmZ8/AgDAJ45LUwUAYFAgZyFeDhZDXz3Nzc2KxWKqq6tTXV2d9u7dmzyX7dpifB0dHaqqqlJlZaU2b97sd3FMKisr05133qm6urrkkppTp06pvr5eCxYs0NKlS3XmzBmfSxlMDz/8sCKRiGpqapLHxrt2gf+cu8YdOnTI/fDDD914PO6+9957yeP/+Mc/3NraWvfChQtub2+vW15e7l66dMl1Xdf91re+5R44cMB1Xdddvny5u3fvXl/KHnTNzc3uH/7whzHHM13bixcv+lBCW4aHh93y8nK3t7fXvXDhgltbW+t2d3f7XSxzysrK3E8++STl2K9+9St38+bNruu6bktLi7thwwY/ihZ4f//7393333/fveOOO5LHsl07C59z8y0wFkNfXW6GHuZM17arq8uH0tnS1dWliooKlZWVKRwOa/Xq1dq9e7ffxTIp/f/lnj171NjYKElqbGzkM53FPffco9mzZ6ccy3btLHzOzQdYNiyGnhovvPCCamtrtWbNmmTXQrZri/H19/dr3rx5yedctyvjOI6WLFmihQsX6qWXXpIkDQ0NKRKJSJIikYiGhob8LKIp2a6dhc95YKbRj4fF0FdPtmv7zDPPqKmpSb/5zW8kSU899ZQef/xxbd26NeP7sOZuYlyjqfH222+rtLRUJ06cUH19vaqqqlLOO47Dtb5CE127oF1XEwHm52LofDfZa7t27drkHwuZrm0hX8PJSr9ufX19KX/hYnJKS0slSTfeeKNWrlyprq4uRSIRDQ4Oau7cuRoYGNCcOXN8LqUd2a6dhc95XnUhummLoV9++WVduHBBvb29ycXQc+fOTS6Gdl1X27Zt0/333+9jqYNrYGAg+e+dO3cmZy5lu7YY38KFC3X48GEdPXpUFy5cUHt7u1asWOF3sUw5f/68zp49K0k6d+6c9u3bp5qaGq1YsUJtbW2SpLa2Nj7TlyHbtTPxOfd3DslX9+qrr7qxWMy95ppr3Egk4i5btix57plnnnHLy8vdW2+91e3o6Egef/fdd9077rjDLS8vd3/5y1/6UWwTfvrTn7o1NTXunXfe6X7/+993BwcHk+eyXVuM7/XXX3cXLFjglpeXu88++6zfxTHno48+cmtra93a2lr39ttvT17DTz75xF28eLFbWVnp1tfXu6dPn/a5pMG0evVqt7S01A2Hw24sFnP/9Kc/jXvtgv45ZyEzAMCkvOpCBAAUDgIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACT/h+Cgm7qOhCFAQAAAABJRU5ErkJggg==\"\n",
        "  frames[31] = 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\"\n",
        "  frames[32] = 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\"\n",
        "  frames[33] = 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\"\n",
        "  frames[34] = 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\"\n",
        "  frames[35] = 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\"\n",
        "  frames[36] = 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        "  frames[37] = 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\"\n",
        "  frames[38] = 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\"\n",
        "  frames[39] = 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\"\n",
        "  frames[40] = 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        "  frames[41] = 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\"\n",
        "  frames[42] = 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\"\n",
        "  frames[43] = 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\"\n",
        "  frames[44] = 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\"\n",
        "  frames[45] = 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\"\n",
        "  frames[46] = 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\"\n",
        "  frames[47] = 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\"\n",
        "  frames[48] = 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brcq/ZnUdxJgADyLg6PUM6nvJMCQcJTWA+Yyqe+kjB4JR2k9gFSgiANJR2k9gGQgwJB0lNYDSAYCDAlHaT2AVKCIA0lB9RhgJpP6TgIMKVFX56xtF1weaMoUaeVKqhMzDRWq3mdS30kVIlKivV3q6wvf9o9/SMuXM0LLBMHgOndu5K1RqFDFeHENDK65eVPassVZcQHp7aOPnKkVkavLU6GKiSDA4Kpr16Rjx5yjcKSvWCvLU6GKiSDAkBIPPzxycdYgjsIzU1YWFaqYGAIMKdHU5KwkvnChdP/94a9xFJ7+Ig9eLEtat47FeTExVCEi5QIB57Th5ctD88ToyNJDrCpDVpY3h0l9J1WISLmmptHniVFqba5Y62A2NTkVp8wNRCIxAoPnVFaO7AS3baPT86rhBxyRZfKSVFUlnTyZ+nZhfEzqOxmBwfOCRR4EmLfEmts1HNc3kUwEGDxv9mynDLuycmgbpxXdVVcnHTwYO7gk1sFE8hFg8JzgYsDDizx6esJPK0pOBzpvnnThgjvtzGTt7bHDa9o0ye+XXnqJ8EJyEWDwnGhFHsNHX0E//CB99ZWUkyP95CcEWTKMtaBm2jRpzRoqDJEaBBg8qb4+/qP3wUGps1OqrZX2709uuzJNrKrCaB54QNq1i1EXUocAgxGGn1aMxralEydS26ZMFCyoGf7/kZ0tPfGEdOaM261DpmElDhihqckppY9cxSPIsqSamvBtpaVSbu7QR1FR8tuZ7oJVhcH/j6oq6a23CC+4g3lgME5trVPAcfeu89yypIIC6eLF8Pfl5oYXGliWtH49pxnHglVTMo9JfScBBmPV1jqnDWtqoodSZIBJ0syZ0pUrqWmfVwQLMb780pmOMGWK9Mgj8U9F4O7amcWkvpMAQ9rK5BHYvVbHkFjhBNGZ1Hd69hpYQ0OD/H6/KioqVFFRoePHj4de27lzp0pKSlRaWqoTXLlHDLNmOaElDZ1mjCe86uqcsv3ghyk33Bx+zW/vXqd6MNpNJIO4jQ1M59kqRMuytHnzZm3evDlse1tbmw4cOKC2tjZ1d3erqqpK7e3tysrybBbDJRcu3Ps0YzSxSsfr6yd+Om6sxvLz+vpGXxkjEss8wXSeDTBJUYexR44cUW1trXJyclRYWKji4mK1trZq+fLlLrQQXpeI04XD12KMDDdJ+vpr5/Pf/iZNnuw8njJFunXLmaM2aZIzwXfKFGnlyrEFXayfNzxU42FZzlSD4GeWeUI68PSw5e2331Z5ebk2btyoa9euSZJ6enrk9/tD7/H7/eru7naricgA8Y5U7t51Vgf54QdnJPTjj05YDA46z7/+2gnCWBOBx2Isp/9mz5YWL3ZK3tevdz5v20Y1Iczn6gisurpafX19I7Zv375d9fX1eu211yRJr776ql5++WXt2bMn6vexghc6gASIthZjokYqN24kZmX9aKE6a5b0/fdDI63cXCe4qB5EunI1wE7GeZOgTZs2afXq1ZKk/Px8dXV1hV67dOmS8vPzo35dQ0ND6HFlZaUqoy2oB0QY7Yab91oR5F6mTx/bdafhP+9ep//Ge80Pma2lpUUtLS1uN2NcPFtG39vbq7y8PEnSG2+8oTNnzmjfvn1qa2vTs88+q9bW1lARx/nz50eMwkwqBYVZguF2/rwzeXr4r5llOR/BSdbDTZ4sPfPM2E/dBX9eMMgYUSGZTOo7PRtgzz33nM6dOyfLsjR//nz99a9/lc/nkyTt2LFDe/fuVXZ2tt5880099dRTI77epP8EmOvdd52llL79VpoxQ3rxRWf7W285wVZR4czDsm1uLwIzmNR3ejbAJsqk/wQA8AqT+k5PVyECABALAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMJKrAfb3v/9djz76qCZNmqSzZ8+GvbZz506VlJSotLRUJ06cCG3/7LPPVFZWppKSEr300kupbjIAwCNcDbCysjIdOnRIv/jFL8K2t7W16cCBA2pra1Nzc7NeeOEF2bYtSaqvr9eePXvU0dGhjo4ONTc3u9H0jNPS0uJ2E9IG+zKx2J+Zy9UAKy0t1YIFC0ZsP3LkiGpra5WTk6PCwkIVFxfr9OnT6u3t1fXr17Vs2TJJ0nPPPafDhw+nutkZiU4icdiXicX+zFyevAbW09Mjv98feu73+9Xd3T1ie35+vrq7u91oIgDAZdnJ/gHV1dXq6+sbsX3Hjh1avXp1sn88ACBNJT3ATp48Oeavyc/PV1dXV+j5pUuX5Pf7lZ+fr0uXLoVtz8/Pj/l9LMsa889GbH/+85/dbkLaYF8mFvszMyU9wOIVLNKQpDVr1ujZZ5/V5s2b1d3drY6ODi1btkyWZenBBx/U6dOntWzZMr3//vt68cUX7/n9AADpx9VrYIcOHVJBQYH+/e9/65e//KVWrVolSVq0aJHWrVunRYsWadWqVdq9e3doNLV7925t2rRJJSUlKi4u1sqVK938JwAAXGLZDFUAAAbyZBXiWDAZOnkaGhrk9/tVUVGhiooKHT9+PPRarH2L0TU3N6u0tFQlJSXatWuX280xUmFhoR5//HFVVFSEptRcvXpV1dXVWrBggWpqanTt2jWXW+lNzz//vHw+n8rKykLbRtt3nv87tw33xRdf2F9++aVdWVlpf/bZZ6Ht//nPf+zy8nJ7YGDA7uzstIuKiuy7d+/atm3bS5cutU+fPm3btm2vWrXKPn78uCtt97qGhgb7L3/5y4jt0fbtnTt3XGihWQYHB+2ioiK7s7PTHhgYsMvLy+22tja3m2WcwsJC+8qVK2Hb/vjHP9q7du2ybdu2Gxsb7VdeecWNpnnev/71L/vs2bP2Y489FtoWa9+Z8Hdu/AiMydDJZUc5wxxt37a2trrQOrO0traquLhYhYWFysnJ0YYNG3TkyBG3m2WkyN/Lo0ePKhAISJICgQB/0zE8+eSTmjFjRti2WPvOhL9z4wMsFiZDJ8bbb7+t8vJybdy4MXRqIda+xei6u7tVUFAQes5+Gx/LslRVVaUlS5bovffekyT19/fL5/NJknw+n/r7+91solFi7TsT/s49U0Y/GiZDJ0+sfbt9+3bV19frtddekyS9+uqrevnll7Vnz56o34c5d/fGPkqMTz75RHl5efrmm29UXV2t0tLSsNcty2Jfj9O99p3X9qsRAebmZOh0F+++3bRpU+hgIdq+zeR9GK/I/dbV1RV2hIv45OXlSZIeeughrV27Vq2trfL5fOrr69PcuXPV29urOXPmuNxKc8Tadyb8nafVKUQ7YjL0Bx98oIGBAXV2doYmQ8+dOzc0Gdq2bb3//vt6+umnXWy1d/X29oYeHzp0KFS5FGvfYnRLlixRR0eH/vvf/2pgYEAHDhzQmjVr3G6WUW7duqXr169Lkm7evKkTJ06orKxMa9asUVNTkySpqamJv+kxiLXvjPg7d7eGZOI+/PBD2+/32/fdd5/t8/nslStXhl7bvn27XVRUZC9cuNBubm4Obf/000/txx57zC4qKrL/8Ic/uNFsI/zud7+zy8rK7Mcff9z+1a9+Zff19YVei7VvMbpjx47ZCxYssIuKiuwdO3a43RzjfPXVV3Z5ebldXl5uP/roo6F9eOXKFXvFihV2SUmJXV1dbX/77bcut9SbNmzYYOfl5dk5OTm23++39+7dO+q+8/rfOROZAQBGSqtTiACAzEGAAQCMRIABAIxEgAEAjESAAQCMRIABAIxEgAEAjESAAQCMRIABAIxEgAEAjESAAQCMRIABAIxEgAEAjESAAQCMRIABAIxEgAEAjESAAQCMRIABAIxEgAEAjESAAQCMRIABAIxEgAEAjESAAQCM9H/CMqnfK5RvogAAAABJRU5ErkJggg==\"\n",
        "  frames[49] = 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\"\n",
        "  frames[50] = 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\"\n",
        "  frames[51] = 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\"\n",
        "  frames[52] = 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\"\n",
        "  frames[53] = 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\"\n",
        "  frames[54] = 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n2w29Z0EGAAgyqa+kyIOAICVKOLAqGPZHwBjgQDDqGO9RABjgSlEJF1HByt1ABh9BBiSjpU6ACQDVYgYdVVV0tGj7sgrK0uaOlWaM6dnP+fEAP+yqe8kwJAUvVfq2L8/9pxYICB961vSiRPetQ/eocjH32zqOwkwJF2ie4hJ0n/8ByGWatatkw4ciF1dPitL2rKFIh+/sKnv5BwYPHPqFPcRSyWJwkuiyAcjR4Ah6RLdQ0ySbt6k40oljY2J7+sVCFDkg5EhwJB04bB7zise1YmQpG9+k+lDjAwBhjFx4oR7zis93X3OfcQgSXffLb3/vtetgK1YiQNj5sQJ7iOWCvqrMpw7133j0tHhvpEpLia8cHuoQgQwquKrTntXGfIGxv9s6jsJMPgO1wnZJf7n9ckn0j/+Efua0lLp+PGxbRdGxqa+kylE+A6LAdth3TrpD3+QLl6Uurt7tsdXnFKsg2QhwOB7HR3Sxo3uih4SIzK/aGyU2tv7bu/qcs9x3bxJsQ6SiwCD7wUC0tWrsaOyAwek2bOlM2e8axcSCwSkJ55w33hwrgvJRIDBd3pXq2VlSY7jTlP19u9/S2fPuu/0776bIEum4Z6T/OY3pX37kt8ugACD74TDAy8G3FtXl9TcLFVW0mkmS3/nJOfOlTIypBs33O2O416wTmk8xgpViPC93rdn6c/06dKlS2PXplSSaDHmSFXh7t3Szp2SMdKGDUwXjgc29Z2sxAHfC4fd64i+/vXE+x1HWro0dlthoTRtWs8jLy/57UwVvasKq6vdsvm//Y3wwtgjwGCF6mrpq6+kigoprddvreO4N8uMnz5sb3cXjo08ItOMGL7IOUmJqkL4C1OIsFJlpXTsmDvySnTua9q0viufp/I0Y+SarX/9y32ekSE9/vjQL0dgBY3UYVPf6dsAq6mp0e9+9zvNmDFDkrR161YtW7ZMkrRt2zbt3btXEyZM0M6dO7U0fv5Idv0QMPriA8xxpNWrU6fQYyirY0yaJP3qVwQSYtnUd/o2wDZv3qwpU6boueeei9ne0NCgJ598Uu+//75aW1tVWlqqxsZGpaXFzoba9EPA6MvLc6cNjemZZvz886F/vo3LWfUeZX35Zd/VMbq6+n4OSzwhnk19p6/L6BMdxMOHD6uyslLp6enKzc1Vfn6+6uvr9fDDD3vQQvjVmTODTzMOpL/S8Y8+ur2puJEaSqD2tzKGlDi8Jk1iiSfYzdcB9sorr+i1117TokWL9NJLL2natGk6f/58TFiFQiG1trZ62Er41WhOF0Zue3/zZt+QeO016fXXpQkTetYBzMiQ/vlPdwQYCLhhcdddw7/gOhJcp0/HTokOd33IjAx3RBYJsokTpfJypg9hN0+rEMvKylRUVNTnceTIEVVXV6u5uVmnT59Wdna2nn/++X6/juM4Y9hqpKLBFqQ1xg2Hf//bfXzxhbtNcrePtBIyMhKML0iJBOpQREZaO3dK8+e7lxj87/9Kb7wxvLYAfuPpCOz4ECff165dq+XLl0uScnJy1NLSEt137tw55eTkJPy8mpqa6MclJSUqKSkZcVuRWuKXs4qUjkcWFB4JY9wpzdGQKFDjV8YIBNxR36ZNPSMtRlyIV1dXp7q6Oq+bMTLGp86fPx/9+Ne//rWprKw0xhjz8ccfm+LiYnPjxg1z9uxZc++995pbt271+Xwff2uwxK5dxpSWuv9GrFljTEaGMW4cDe/hOMZUVAyvDd/5Tt+vM3myMf//55CwzYWFxsyfH9tuYKhs6jt9W4W4Zs0anT59Wo7j6J577tFvfvMbBYNBSW5J/d69exUIBPTyyy/rscce6/P5NlXSwC67d0svvyy1tUnXr8dW+zmO+7h1K/ZzRlIJKcUuozVpkjR5cuyIChhtNvWdvg2w22XTDwH2iqwFeOWKlJkprV/vbo+sDzh5snvuaySVkL3/Dy4ixlixqe8kwAAAUTb1nayFCACwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwEgEGALASAQYAsBIBBgCwkqcB9vvf/1733XefJkyYoFOnTsXs27ZtmwoKClRYWKhjx45Ft3/44YcqKipSQUGBNmzYMNZNBgD4hKcBVlRUpIMHD+rb3/52zPaGhgbt379fDQ0Nqq2t1bPPPitjjCSpurpae/bsUVNTk5qamlRbW+tF01NOXV2d100YNziWo4vjmbo8DbDCwkLNmzevz/bDhw+rsrJS6enpys3NVX5+vk6ePKm2tjZdu3ZNixcvliStWbNGhw4dGutmpyQ6idHDsRxdHM/U5ctzYOfPn1coFIo+D4VCam1t7bM9JydHra2tXjQRAOCxQLL/g7KyMrW3t/fZvnXrVi1fvjzZ/z0AYJxKeoAdP3582J+Tk5OjlpaW6PNz584pFAopJydH586di9mek5PT79dxHGfY/zf6t3nzZq+bMG5wLEcXxzM1JT3AhipSpCFJ5eXlevLJJ/Xcc8+ptbVVTU1NWrx4sRzH0dSpU3Xy5EktXrxYr7/+utavXz/o1wMAjD+engM7ePCg5syZoxMnTui73/2uli1bJklasGCBVq1apQULFmjZsmXatWtXdDS1a9curV27VgUFBcrPz9fjjz/u5bcAAPCIYxiqAAAs5MsqxOHgYujkqampUSgU0sKFC7Vw4UK9/fbb0X39HVsMrLa2VoWFhSooKNCOHTu8bo6VcnNz9cADD2jhwoXRS2ouX76ssrIyzZs3T0uXLtXVq1c9bqU/PfXUUwoGgyoqKopuG+jY+f7v3Fjuk08+MZ9++qkpKSkxH374YXT7xx9/bIqLi01nZ6dpbm42eXl55tatW8YYYx566CFz8uRJY4wxy5YtM2+//bYnbfe7mpoa89JLL/XZnujYdnd3e9BCu3R1dZm8vDzT3NxsOjs7TXFxsWloaPC6WdbJzc01ly5ditn2s5/9zOzYscMYY8z27dvNCy+84EXTfO9Pf/qTOXXqlLn//vuj2/o7djb8nVs/AuNi6OQyCWaYEx3b+vp6D1pnl/r6euXn5ys3N1fp6emqqKjQ4cOHvW6WleJ/L48cOaKqqipJUlVVFX/T/Xj00UeVmZkZs62/Y2fD37n1AdYfLoYeHa+88oqKi4v19NNPR6cW+ju2GFhra6vmzJkTfc5xGxnHcVRaWqpFixbpt7/9rSTpwoULCgaDkqRgMKgLFy542USr9HfsbPg7900Z/UC4GDp5+ju2L774oqqrq/XLX/5SkvSLX/xCzz//vPbs2ZPw63DN3eA4RqPjvffeU3Z2ti5evKiysjIVFhbG7Hcch2M9QoMdO78dVysCzMuLoce7oR7btWvXRt8sJDq2qXwMhyr+uLW0tMS8w8XQZGdnS5JmzJihlStXqr6+XsFgUO3t7Zo1a5ba2to0c+ZMj1tpj/6OnQ1/5+NqCtHEXQz95ptvqrOzU83NzdGLoWfNmhW9GNoYo9dff10rVqzwsNX+1dbWFv344MGD0cql/o4tBrZo0SI1NTXp73//uzo7O7V//36Vl5d73SyrfPXVV7p27Zok6fr16zp27JiKiopUXl6ucDgsSQqHw/xND0N/x86Kv3Nva0hu31tvvWVCoZD52te+ZoLBoHn88cej+1588UWTl5dn5s+fb2pra6PbP/jgA3P//febvLw889Of/tSLZlvhhz/8oSkqKjIPPPCA+d73vmfa29uj+/o7thjY0aNHzbx580xeXp7ZunWr182xztmzZ01xcbEpLi429913X/QYXrp0ySxZssQUFBSYsrIyc+XKFY9b6k8VFRUmOzvbpKenm1AoZPbu3TvgsfP73zkXMgMArDSuphABAKmDAAMAWIkAAwBYiQADAFiJAAMAWIkAAwBYiQADAFiJAAMAWIkAAwBYiQADAFiJAAMAWIkAAwBYiQADAFiJAAMAWIkAAwBYiQADAFiJAAMAWIkAAwBYiQADAFiJAAMAWIkAAwBYiQADAFiJAAMAWOn/AEqyA8GU2Z5DAAAAAElFTkSuQmCC\"\n",
        "  frames[55] = 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\"\n",
        "  frames[56] = 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\"\n",
        "  frames[57] = 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\"\n",
        "  frames[58] = 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\"\n",
        "  frames[59] = 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\"\n",
        "  frames[60] = 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\"\n",
        "  frames[61] = 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FvwFkFpMIWJMdHWx4C+A1GIEhjHzj39IU6e6ywCdPOl1a+AVppeRKgQY0mLePHfasKurd99XX7m3zz+XZs2SVqyg48o069dLr72WuLo808sYLaYQkRZ1ddLmzVJ5uXTTTQPvP3dOOnLE7biQGZKFl8T0MkaPAEPa1NRIb7yRuJZdX3RcmaWlJfnnegWDfJ4cRocAQ9rNmOGuY9cfH4QJSfr2t5k+xOgQYEi7kyeltWvdlcRzctx9fBAmJGnuXOndd71uBayiiANjYu9e9ysfhDm+DVVh2LewJztbKi0lvHBjWI0eQMqUlQ28gH3z5t43K7yB8T9LfScBBl/iWiE7+v6ujh0bWKhRXu4W88AGS30nU4jwJZai8r9YcP3zn9I33yR/DIU6SCdGYPCl/lNRkruKR2mp+z0jMu8l+x31FSvUeeWVMWsSUsBS38kIDCYEg9LFi4kd5l//mrjSB/xj0qTEc19AOhBg8KW+FWu5ue51ZOfOJT7ms8/cara5c1lbMd2SnZMcTE6O9D//Q3gh/ZhChG/1rVjbt2/w6apAwL3OLFaqj9RLVl1YUOC+ceg7Cp4yRVq5kmlDyyz1nQQYTKiull56afD7p093R2RIj2Tnu8rL3TcX+/f3jpYpj7fPUt/JFCJMqKtzz3klC6lAQFq2LHFfcbHU0dG7zUe4pFasurCmhsCCd1hKCmZ0dUmVldKEPn+1gYA0Z87A6cOODvd6pNittVWqqhrb9o4nsXOSEsuAwT+YQoRJVVVSQ4M78kp27mvq1IEX1GbyNOP69dJf/iJ9+aW7PXGitHz5yC5FYBWNzGCp7/RtgNXW1upPf/qTZs6cKUnasmWLVqxYIUnaunWr9uzZo6ysLD3//PNa1n/+SLZ+CUi9/gGWaYUe/asGP/pI+vTTxMdMniz95jeEERJZ6jt9G2CbNm3SzTffrCeffDJhf3Nzsx566CG9++67am9vV3l5uVpaWjRhQuJsqKVfAlKvoMCdNnSc3mnGU6dG9hzWlrPqO8q6fFnq6em9LxiUursH/gzLPKE/S32nr4s4kh3EQ4cOqaqqStnZ2YpEIiosLFRTU5PuueceD1oIvzp58vrTjNeTbDmr733Pfe4bmYobjeGEaUtLYuFKX8nCa/JklnmCbb4OsBdeeEEvvfSSFi9erOeee05Tp07VmTNnEsIqHA6rvb3dw1bCr1I9XdjV5QbBxYuJ+196SXr5ZSkryz3P9tVX7qjvP//pHQHecsvoKiFjwdV/kdyRrg05caI7IosFWU6OVFHB9CFs87QKMRqNqqSkZMDt8OHDqqmpUWtrq44dO6a8vDw99dRTgz5PINnH/QIplpvbW4nXn+O44fDpp25wff65uy9232grIWOjwP4FKV1dbkHFcMRGWs8/Ly1Y4F5i8Pvfc7Ex7PN0BPbGMCff161bp5UrV0qS8vPz1dbWFr/v9OnTys/PT/pztbW18e/LyspUVlY26rYi8/Rfzioalc6ckf7979E9n+O4U5qpkGyV93nz3JHW11+728GgO+rbuLF3pMWIC/01NjaqsbHR62aMjuNTZ86ciX//29/+1qmqqnIcx3E+/PBDp7S01Pn666+djz/+2Ln99tuda9euDfh5H//XYMjOnY5TXu5+dRzHefhhx5k40XHcOBrZLRBwnMrKkf37//VfA59nyhTH+f+XQ9L2Fhc7zoIFvW0GRsJS3+nbKsSHH35Yx44dUyAQ0G233aY//OEPCoVCktyS+j179igYDGrHjh26//77B/y8pUoa2LJrl7Rjh3T2rHTlSmK1X06Ou8DwF1/0TiFKo6+ErK6WjhxxR4GTJ7trDfYdUQGpZqnv9G2A3ShLvwTYtWuXe27pwgVp2jRpwwY3XGIVkFOmuCXto62EjP0bXECMsWKp7yTAAABxlvpO1kIEAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkTwPsz3/+s+68805lZWXpgw8+SLhv69atKioqUnFxsRoaGuL733//fZWUlKioqEhPPPHEWDcZAOATngZYSUmJDhw4oO9///sJ+5ubm7Vv3z41Nzervr5ejz32mBzHkSTV1NRo9+7dOnHihE6cOKH6+novmp5xGhsbvW7CuMGxTC2OZ+byNMCKi4s1f/78AfsPHTqkqqoqZWdnKxKJqLCwUEePHtXZs2d16dIlLVmyRJL08MMP6+DBg2Pd7IxEJ5E6HMvU4nhmLl+eAztz5ozC4XB8OxwOq729fcD+/Px8tbe3e9FEAIDHgun+B6LRqDo6Ogbs37Jli1auXJnufx4AME6lPcDeeOONEf9Mfn6+2tra4tunT59WOBxWfn6+Tp8+nbA/Pz9/0OcJBAIj/rcxuE2bNnndhHGDY5laHM/MlPYAG65YkYYkVVRU6KGHHtKTTz6p9vZ2nThxQkuWLFEgENAtt9yio0ePasmSJXr55Ze1YcOG6z4fAGD88fQc2IEDBzRnzhy98847+sEPfqAVK1ZIkhYuXKg1a9Zo4cKFWrFihXbu3BkfTe3cuVPr1q1TUVGRCgsLtXz5ci//CwAAjwQchioAAIN8WYU4ElwMnT61tbUKh8NatGiRFi1apNdffz1+32DHFkOrr69XcXGxioqKtH37dq+bY1IkEtHdd9+tRYsWxS+pOX/+vKLRqObPn69ly5bp4sWLHrfSnx555BGFQiGVlJTE9w117Hz/OneM++ijj5zjx487ZWVlzvvvvx/f/+GHHzqlpaXO1atXndbWVqegoMC5du2a4ziO893vftc5evSo4ziOs2LFCuf111/3pO1+V1tb6zz33HMD9ic7tj09PR600Jbu7m6noKDAaW1tda5eveqUlpY6zc3NXjfLnEgk4nz22WcJ+37xi18427dvdxzHcbZt2+Y8/fTTXjTN9/7+9787H3zwgXPXXXfF9w127Cy8zs2PwLgYOr2cJDPMyY5tU1OTB62zpampSYWFhYpEIsrOzlZlZaUOHTrkdbNM6v93efjwYVVXV0uSqqureU0P4r777tO0adMS9g127Cy8zs0H2GC4GDo1XnjhBZWWlurRRx+NTy0MdmwxtPb2ds2ZMye+zXEbnUAgoPLyci1evFh//OMfJUmdnZ0KhUKSpFAopM7OTi+baMpgx87C69w3ZfRD4WLo9Bns2D777LOqqanRr3/9a0nSr371Kz311FPavXt30ufhmrvr4xilxttvv628vDydO3dO0WhUxcXFCfcHAgGO9Shd79j57biaCDAvL4Ye74Z7bNetWxd/s5Ds2GbyMRyu/setra0t4R0uhicvL0+SNHPmTK1evVpNTU0KhULq6OjQ7NmzdfbsWc2aNcvjVtox2LGz8DofV1OITr+LoV999VVdvXpVra2t8YuhZ8+eHb8Y2nEcvfzyy1q1apWHrfavs2fPxr8/cOBAvHJpsGOLoS1evFgnTpzQJ598oqtXr2rfvn2qqKjwulmmfPHFF7p06ZIk6cqVK2poaFBJSYkqKipUV1cnSaqrq+M1PQKDHTsTr3Nva0hu3P79+51wOOzcdNNNTigUcpYvXx6/79lnn3UKCgqcBQsWOPX19fH97733nnPXXXc5BQUFzs9//nMvmm3Cj3/8Y6ekpMS5++67nR/+8IdOR0dH/L7Bji2GduTIEWf+/PlOQUGBs2XLFq+bY87HH3/slJaWOqWlpc6dd94ZP4afffaZs3TpUqeoqMiJRqPOhQsXPG6pP1VWVjp5eXlOdna2Ew6HnT179gx57Pz+OudCZgCASeNqChEAkDkIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATPo/501+mTEeILAAAAAASUVORK5CYII=\"\n",
        "  frames[62] = 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X37pfnz6qXTXXVJLi3ftw+iLPwz14kWpp6d3P9PLGC6mEJERsZi0ZYu0ZIl02239j58753ZayB7xleWTw0tiehnDR4AhY2pqpOPHU9eyi3McOi24gkGeJ4fhIcCQcdOn99+Xn0+nBdd3vsP0IYaHAEPGnT0rRSLuYqySG17RKJ1Wtum7snwgIC1cKJ065V2bYBuL+WLU7NrlThs+8gjhNVbdqMKQleX9z1LfSYABGDEVFf1vYN+yhaCyxFLfSYDBl7hXyI7kn1Vjo3ubRLIlS9xiHthgqe/kPjD4EktR+V88uN55R/r66/SvoVgHmcQIDL7UdypKclfxKC93P2dE5r10P6Nk8WKdvXtHrUkYAZb6TkZgMCEYlK5cSe0w//KX1JU+4B8TJnDtC5lHgMGXkpeiys93q9YuXkx9zSefSLm50p13srZipqW7JjmQvDzpf/+X8ELmMYUI30ouu9+/f+DpqkBAWrNG2rdvdNuXTdJVFxYVuW8ckkfBkyZJK1YwbWiZpb6TAIMJ1dXSK68MfHzaNHdEhsxId71ryRL3zcWBA72jZe7xs89S38kUIkyIxdxrXulCKhCQli5N3Vda6i4cG8cjXEZWvLqwpobAgndYSgpmdHVJa9dK45J+awMBafbs/tOHHR3u/Ujxj5YWqapqdNs7lsSvSUosBQb/YAoRJlVVSceOuSOvdNe+pkzpf0NtNk8zxp/F9cUX7vb48dKyZUO7FYGlwLKDpb7TtwFWW1urP/7xj5oxY4YkaevWrVq+fLkkadu2bdqzZ49ycnL04osvamnf+SPZ+iFg5PUNsGwr9OhbNfjBB9LHH6e+ZuJE6X/+hzBCKkt9p28DbPPmzbr99tv11FNPpexvamrSo48+qlOnTqmtrU1LlixRc3Ozxo1LnQ219EPAyCsqcqcNHad3mvHcOa9blVnJo6zPPkt9cGQwKF2/3v9rWOYJfVnqO31dxJHuJB4+fFhVVVXKzc1VJBJRcXGxGhoa9MADD3jQQvjV2bM3nma8kXT3Po0ff+tTccNxM2tDxp94nE668Jo4kWWeYJuvA+yll17SK6+8ooULF+r555/XlClTdOHChZSwKiwsVFtbm4ethF/d6nRhuvUYp0zpHxKvvCK9+qqUk+NeZ/vyS3fU95//9I4AJ08efiXk+vXS66+nTokOdW3I8ePdEVk8yPLypMpKpg9hm6dViNFoVGVlZf0+jhw5opqaGrW0tKixsVEFBQV6+umnB/w+gfiTEoEM6uoaeOkqx3HD4eOP3eD69FN3X/zYrVRCNjf3L0jp6nILKm5GfKT14ovSvHnuLQa/+x03G8M+T0dgx29y8n3dunVasWKFJCkcDqu1tTVx7Pz58wqHw2m/rra2NvF5RUWFKioqht1WID4Cu3JleF/vOO6U5kjIze0//Ref4vzqK3c7GHRHfZs29Y60GHGhr/r6etXX13vdjGHxbRFHe3u7CgoKJEm//e1vderUKe3duzdRxNHQ0JAo4jhz5ky/UZilC5Hwp+pq6ejR3vUYo1E3OPbv7w2JoRhuJWTfVTACAem735VOner/2l273JGW40gbNxJYGDpLfadvA+yxxx5TY2OjAoGA7rrrLv3+979XKBSS5JbU79mzR8FgUC+88IIefvjhfl9v6YcA/0p379OuXdILL0jt7dK1a6nVfnl5bsh9/nnvFKJ0a5WQyUEaDErf+U768AJGgqW+07cBdqss/RBgV3zEc/myNHWqtGGDG3TxCshJk9yS9uFWQib/O9xEjNFgqe8kwAAACZb6TtZCBACYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJE8D7E9/+pPuuece5eTk6P333085tm3bNpWUlKi0tFTHjh1L7H/vvfdUVlamkpISbdy4cbSbDADwCU8DrKysTAcPHtT3vve9lP1NTU3av3+/mpqaVFdXpyeffFKO40iSampqtHv3bp0+fVqnT59WXV2dF03POvX19V43YczgXI4szmf28jTASktLNXfu3H77Dx8+rKqqKuXm5ioSiai4uFgnT55Ue3u7rl69qkWLFkmSHnvsMR06dGi0m52V6CRGDudyZHE+s5cvr4FduHBBhYWFie3CwkK1tbX12x8Oh9XW1uZFEwEAHgtm+h+IRqPq6Ojot3/r1q1asWJFpv95AMAYlfEAO378+JC/JhwOq7W1NbF9/vx5FRYWKhwO6/z58yn7w+HwgN8nEAgM+d/GwDZv3ux1E8YMzuXI4nxmp4wH2M2KF2lIUmVlpR599FE99dRTamtr0+nTp7Vo0SIFAgFNnjxZJ0+e1KJFi/Tqq69qw4YNN/x+AICxx9NrYAcPHtTs2bP197//Xd///ve1fPlySdL8+fO1evVqzZ8/X8uXL9fOnTsTo6mdO3dq3bp1KikpUXFxsZYtW+bl/wIAwCMBh6EKAMAgX1YhDgU3Q2dObW2tCgsLtWDBAi1YsEBvvvlm4thA5xaDq6urU2lpqUpKSrRjxw6vm2NSJBLRfffdpwULFiRuqbl06ZKi0ajmzp2rpUuX6sqVKx630p8ef/xxhUIhlZWVJfYNdu58/3fuGPfBBx84H374oVNRUeG89957if3/+te/nPLycqe7u9tpaWlxioqKnG+++cZxHMe5//77nZMnTzqO4zjLly933nzzTU/a7ne1tbXO888/329/unPb09PjQQttuX79ulNUVOS0tLQ43d3dTnl5udPU1OR1s8yJRCLOJ598krLvl7/8pbNjxw7HcRxn+/btzjPPPONF03zvb3/7m/P+++879957b2LfQOfOwt+5+REYN0NnlpNmhjnduW1oaPCgdbY0NDSouLhYkUhEubm5Wrt2rQ4fPux1s0zq+3t55MgRVVdXS5Kqq6v5mx7AQw89pKlTp6bsG+jcWfg7Nx9gA+Fm6JHx0ksvqby8XE888URiamGgc4vBtbW1afbs2YltztvwBAIBLVmyRAsXLtQf/vAHSVJnZ6dCoZAkKRQKqbOz08smmjLQubPwd+6bMvrBcDN05gx0bp977jnV1NToN7/5jSTp17/+tZ5++mnt3r077ffhnrsb4xyNjLffflsFBQW6ePGiotGoSktLU44HAgHO9TDd6Nz57byaCDAvb4Ye62723K5bty7xZiHduc3mc3iz+p631tbWlHe4uDkFBQWSpBkzZmjVqlVqaGhQKBRSR0eHZs2apfb2ds2cOdPjVtox0Lmz8Hc+pqYQnT43Q7/22mvq7u5WS0tL4mboWbNmJW6GdhxHr776qlauXOlhq/2rvb098fnBgwcTlUsDnVsMbuHChTp9+rT+/e9/q7u7W/v371dlZaXXzTLl888/19WrVyVJ165d07Fjx1RWVqbKykrFYjFJUiwW4296CAY6dyb+zr2tIbl1Bw4ccAoLC53bbrvNCYVCzrJlyxLHnnvuOaeoqMiZN2+eU1dXl9j/7rvvOvfee69TVFTk/OIXv/Ci2Sb8+Mc/dsrKypz77rvP+cEPfuB0dHQkjg10bjG4o0ePOnPnznWKioqcrVu3et0ccz766COnvLzcKS8vd+65557EOfzkk0+cxYsXOyUlJU40GnUuX77scUv9ae3atU5BQYGTm5vrFBYWOnv27Bn03Pn975wbmQEAJo2pKUQAQPYgwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMOn/AbcWBtfhIOU7AAAAAElFTkSuQmCC\"\n",
        "  frames[63] = 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\"\n",
        "  frames[64] = 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\"\n",
        "  frames[65] = 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\"\n",
        "  frames[66] = 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\"\n",
        "  frames[67] = 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\"\n",
        "  frames[68] = 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\"\n",
        "  frames[69] = 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\"\n",
        "  frames[70] = 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\"\n",
        "  frames[71] = 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\"\n",
        "  frames[72] = 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\"\n",
        "  frames[73] = 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\"\n",
        "  frames[74] = 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\"\n",
        "  frames[75] = 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\"\n",
        "  frames[76] = 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\"\n",
        "  frames[77] = 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\"\n",
        "  frames[78] = 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\"\n",
        "  frames[79] = 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\"\n",
        "  frames[80] = 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\"\n",
        "  frames[81] = 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\"\n",
        "  frames[82] = 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\"\n",
        "  frames[83] = 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fisNDjq377+Xzp6VamrcrgymIsAwowoLEx/PypIefTS5tcCbmpvdrgCmIsAwoyIRKS8v/lhGBhuyYghvhoqpIsAw4774QqqudsY//H5p505p7163q0KyFRY6L16Gu/tu3poHU8csRABJs3u39NJL0ldfSVVVhJcXmXTtJMAATAvW/KUGk66dLGQGcEtCIam3V/r6a2d2YVRentPiYqwTM4UxMABTVlcnffqpdO1afHhJ0sWLLJXAzKIFBs+ja8q72ttHB1dUXh5LJTCzGAOD5yXajsqypLlznckASJ6RLyZOn5Y+/3z087KynKUSzDY1j0nXTlpgMJJtO2Mus2ZJwaB05ozbFaWH9vb4FxO+BFcQn0969VXGvjDzGAOD0W7ckDo72Y7ILQMDUmbm0P2773a2iCK8kAwEGDyvsHD0bh7D2TbbEbklL8/pKlyxQtq1Szp3zu2KkE7oQoTnRSLOdOynn3ZaXCNZ1ujtiKJTu6Nyc+lmnA7RFxMXLzofw2HGueAeJnHAKOXl0gcfDN23LGnhwtGv/OfNc6Z2D3/eunXs/DAddu92psc/+ihdhanIpGsnAQYj1dQ43YaVlYlDaWSASVJOjnTpUnLq85q6Oumdd5y3M5Gk2bOllStZjoDRTLp2enYMrL6+XoFAQEuXLtXSpUt19OjR2GNbt25VSUmJQqGQmhn8SEsNDU4YTbRFlaibMZ20tztdqteuObfPP5fefps3FYXZPDsGZlmWNm/erM2bN8cdb2trU2Njo9ra2tTd3a0VK1aovb1dGSO3uUZay82VvvzSmeAR7WZM9e7DaCvr0iVnrNCynFbnypWJn3/9utMVSDcgTOXpq36iZuyhQ4dUU1OjzMxMBYNBFRcXq7W11YXq4GVnzjhjXjk5zsdbnR1XV+csqM7PdxbpZmY63ZR+v1RbOy0ljykUcn5W9FZUlPh50VbW9987u2MMDAy1tLq7Rz9/7lx2yoDZPB1gr7/+usrKyrR+/XpdvXpVknThwgUFAoHYcwKBgLoT/XUi7U22m3E80QW80YAYGBjqivv73533ufL5pDvuGAqcjAynFZSRMX7w3Mzwrr9r1ya/7u36dec2e/bQsaws5+1MaH3BZK4GWDgcVmlp6ajb4cOHtXHjRnV2durUqVPKz8/Xs88+O+b3sSwriVUDo9m20+r5+mupo8MJmmgHgm1PLXjG+1mTGfqdO1d64QVpxw5p8WInYF99lenvMJ+rY2DHjh2b0PM2bNigRx55RJJUUFCgrq6u2GPnz59XQUFBwq+rr6+PfV5RUaGKioop1wpMVKK1atL0Lbgea0JKYaHTyvruu6FjI1tatLgwUktLi1paWtwuY0o8O42+p6dH+fn5kqQdO3bo3//+t/bu3au2tjY9/vjjam1tjU3i+PTTT0e1wkyaCgrvq62VjhxxFvDeTEbG2Auup7IWrajIab0Nn5Ay1pje7t3SX/4iXbkiZWdLmzYRWpgck66dng2wJ554QqdOnZJlWbrnnnv017/+VX6/X5K0ZcsWvfHGG/L5fHrttdf08MMPj/p6k/4TYIboAt68POmjj5ww6eyMb/HMmSMtWDAUOFE3C56budm6N2C6mHTt9GyA3SqT/hNgtvJy6eOPpbIy6eRJ51g0cG6/3RkXI3hgCpOunQQYACDGpGunp6fRAwAwFgIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJAIMAGAkAgwAYCQCDABgJFcD7B//+Ifuu+8+zZo1Sx9++GHcY1u3blVJSYlCoZCam5tjxz/44AOVlpaqpKREzzzzTLJLBgB4hKsBVlpaqgMHDuhnP/tZ3PG2tjY1Njaqra1NTU1Neuqpp2TbtiRp48aN2rNnjzo6OtTR0aGmpiY3Sk87LS0tbpeQMjiX04vzmb5cDbBQKKRFixaNOn7o0CHV1NQoMzNTwWBQxcXFOnHihHp6evTVV19p2bJlkqQnnnhCBw8eTHbZaYmLxPThXE4vzmf68uQY2IULFxQIBGL3A4GAuru7Rx0vKChQd3e3GyUCAFzmm+kfEA6H1dvbO+r4li1b9Mgjj8z0jwcApKgZD7Bjx45N+msKCgrU1dUVu3/+/HkFAgEVFBTo/PnzcccLCgrG/D6WZU36Z2NsL730ktslpAzO5fTifKanGQ+wiYpO0pCkqqoqPf7449q8ebO6u7vV0dGhZcuWybIs3XnnnTpx4oSWLVumN998U5s2bbrp9wMApB5Xx8AOHDighQsX6v3339fPf/5zrVq1SpK0ZMkSrV27VkuWLNGqVau0a9euWGtq165d2rBhg0pKSlRcXKyVK1e6+U8AALjEsmmqAAAM5MlZiJPBYuiZU19fr0AgoKVLl2rp0qU6evRo7LGxzi3G19TUpFAopJKSEm3fvt3tcowUDAb1wAMPaOnSpbElNZcvX1Y4HNaiRYtUWVmpq1evulylNz355JPy+/0qLS2NHRvv3Hn+79w23OnTp+1PPvnErqiosD/44IPY8f/85z92WVmZ3d/fb3d2dtpFRUX2jRs3bNu27Z/+9Kf2iRMnbNu27VWrVtlHjx51pXavq6+vt//85z+POp7o3A4ODrpQoVkGBgbsoqIiu7Oz0+7v77fLysrstrY2t8syTjAYtC9duhR37Pe//729fft227Zte9u2bfZzzz3nRmme969//cv+8MMP7fvvvz92bKxzZ8LfufEtMBZDzyw7QQ9zonPb2trqQnVmaW1tVXFxsYLBoDIzM1VdXa1Dhw65XZaRRv5eHj58WLW1tZKk2tpa/qbH8NBDDyk7Ozvu2FjnzoS/c+MDbCwshp4er7/+usrKyrR+/fpY18JY5xbj6+7u1sKFC2P3OW9TY1mWVqxYofLycv3tb3+TJPX19cnv90uS/H6/+vr63CzRKGOdOxP+zj0zjX48LIaeOWOd21deeUUbN27UH//4R0nSCy+8oGeffVZ79uxJ+H1Yc3dznKPp8d577yk/P19ffPGFwuGwQqFQ3OOWZXGup+hm585r59WIAHNzMXSqm+i53bBhQ+zFQqJzm87ncKJGnreurq64V7iYmPz8fEnSXXfdpTVr1qi1tVV+v1+9vb1asGCBenp6NH/+fJerNMdY586Ev/OU6kK0RyyG3rdvn/r7+9XZ2RlbDL1gwYLYYmjbtvXmm29q9erVLlbtXT09PbHPDxw4EJu5NNa5xfjKy8vV0dGhzz77TP39/WpsbFRVVZXbZRnlm2++0VdffSVJun79upqbm1VaWqqqqipFIhFJUiQS4W96EsY6d0b8nbs7h+TW7d+/3w4EAvZtt91m+/1+e+XKlbHHXnnlFbuoqMhevHix3dTUFDt+8uRJ+/7777eLiors3/3ud26UbYRf/epXdmlpqf3AAw/Yv/jFL+ze3t7YY2OdW4zvyJEj9qJFi+yioiJ7y5YtbpdjnLNnz9plZWV2WVmZfd9998XO4aVLl+zly5fbJSUldjgctq9cueJypd5UXV1t5+fn25mZmXYgELDfeOONcc+d1//OWcgMADBSSnUhAgDSBwEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADASAQYAMBIBBgAwEgEGADDS/wFIAhSMQtFdEAAAAABJRU5ErkJggg==\"\n",
        "  frames[84] = 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\"\n",
        "  frames[85] = 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\"\n",
        "  frames[86] = 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        "  frames[87] = 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\"\n",
        "  frames[88] = 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\"\n",
        "  frames[89] = 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\"\n",
        "  frames[90] = 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\"\n",
        "  frames[91] = 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\"\n",
        "  frames[92] = 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\"\n",
        "  frames[93] = 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\"\n",
        "  frames[94] = 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\"\n",
        "  frames[95] = 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\"\n",
        "  frames[96] = 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\"\n",
        "  frames[97] = 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AYaEy84euD1tmreaOLfDAB9kcD8IMCTc+fPShg3eZI5QSNq1S9q3z++qkGwZGQO3HYcPMrg/zEIEkDQVFdLRo9Ls2dLrrxNeQWSp7STAAEwIrvebHCy1nVzIDOC+RCLeDMOvvvJmF0bNn+/NMKSXhUThHBiAcauqks6dk27dGhheknT1KjMMkVj0wBB4DE0FS/9/j7NnhwZX1Pz5zDBEYnEODIFXUiKdPDlwn+NIs2ZJt2/7UtKUFu/fY7D0dG+GIbNN7bHUdjKECJNc1zvnkpIi5eX5XQ36S02V/vhHwguJR4DBtLt3pbY2b3o2/OE4fV8vWuQtF8XEDSQDAYbAy8nxzqcMx3Wlhobk1TPV9f/3mD9fevxxaeVKafdu6eJFf2vD1MI5MJiwZ4/0wgtej2swx5HWr5fq6vr2Rad2R2VkeCuCYGLs2ePNMHz6aXpbk42ltpMAgynLlkkffdS37TjeWouDP/nPmeNN7e7/usEhB2AoS20nQ4gw5fRpb8hwwwZp3jwvlEYzbDXVhxmrqqTMTC/Y58zx1qTkXlywLrABVlNTo3A4rOLiYhUXF+v48eOx57Zt26aCggJFIhE1TOVWaQqrq5OuXRt9j8pxpLKyxNYUZC0t3pDqrVve41//kv7nf7gXF2wLbIA5jqOXX35ZZ86c0ZkzZ7R69WpJUnNzsw4cOKDm5mbV19dr8+bNuhvvxAimtIyMvtlx0WHGyT58WFXlrfgfveNxWtrIlxjcucNKGbAtsAEmKe447JEjR1RRUaG0tDTl5uYqPz9fTU1NPlSHIDt/3hteHMsw471UVXkX8UZDIi3NG45L9HVokUjf0N9Iv6+lRfrmm747Hvf0SBcuDH+JwaxZrJQB2wIdYG+//baKioq0ceNG3bx5U5J0+fJlhcPh2GvC4bA6Ojr8KhEBNtZhxntpafFWoIiGRE+PNxx34YLXy0tN9W4TEg2cadO8/dOm3V/Q9R/6u3Vr7Ne9NTR4U9+nT+/bl54ulZczgxC2+RpgpaWlKiwsHPI4evSoqqur1dbWprNnzyozM1OvvPLKsD/H6X8lJeCT3l5vdZDWVi9oogMIrju+4BnOWCeklJV5a0fu3CktWeIFLCtlYDLwdTHfEydOjOp1mzZt0lNPPSVJysrKUnt7e+y5S5cuKSsrK+731dTUxL4uKSlRSUnJuGsFRmu4U7ITNRNyuAkpOTleb6//71+0qK8HWl1NjwtDNTY2qrGx0e8yxiWw14F1dnYqMzNTkrRz50794x//0L59+9Tc3Kxnn31WTU1N6ujo0MqVK3Xu3LkhvTBL1zLAhspK6dgx7zYhIxkcIlHjvRYtL8/rvbnu8Ne9Re3ZI23Z4i1yXF4++SeuYOJZajsDG2DPPfeczp49K8dx9PDDD+tPf/qTQqGQJGnr1q165513lJqaqrfeektPPvnkkO+39I8AO6IrUNy44YXKl19658KiZs6UFi7sC5yoewXPvVRUeL23sjJCCYllqe0MbIDdL0v/CLBt2TLpk0+koiLvQmupL3C+9z3vvBjBAysstZ0EGAAgxlLbGehp9AAADIcAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEm+Bthf/vIXPfLII0pJSdHHH3884Llt27apoKBAkUhEDQ0Nsf0fffSRCgsLVVBQoJdeeinZJQMAAsLXACssLNShQ4f04x//eMD+5uZmHThwQM3Nzaqvr9fmzZvluq4kqbq6Wnv37lVra6taW1tVX1/vR+lTTmNjo98lTBocy4nF8Zy6fA2wSCSixYsXD9l/5MgRVVRUKC0tTbm5ucrPz9epU6fU2dmp27dva/ny5ZKk5557TocPH0522VMSjcTE4VhOLI7n1BXIc2CXL19WOByObYfDYXV0dAzZn5WVpY6ODj9KBAD4LDXRv6C0tFRdXV1D9m/dulVPPfVUon89AGCSSniAnThxYszfk5WVpfb29tj2pUuXFA6HlZWVpUuXLg3Yn5WVNezPcRxnzL8bw9uyZYvfJUwaHMuJxfGcmhIeYKMVnaQhSeXl5Xr22Wf18ssvq6OjQ62trVq+fLkcx9EDDzygU6dOafny5Xr33Xf14osv3vPnAQAmH1/PgR06dEjZ2dn68MMP9ZOf/ESrV6+WJC1dulTr1q3T0qVLtXr1au3evTvWm9q9e7c2bdqkgoIC5efna9WqVX7+FQAAPnFcuioAAIMCOQtxLLgYOnFqamoUDodVXFys4uJiHT9+PPbccMcWI6uvr1ckElFBQYF27Njhdzkm5ebm6rHHHlNxcXHskprr16+rtLRUixcvVllZmW7evOlzlcH0/PPPKxQKqbCwMLZvpGMX+Pe5a9ynn37qfvbZZ25JSYn70Ucfxfb/85//dIuKitzu7m63ra3NzcvLc+/eveu6ruv+6Ec/ck+dOuW6ruuuXr3aPX78uC+1B11NTY37hz/8Ycj+eMe2t7fXhwpt6enpcfPy8ty2tja3u7vbLSoqcpubm/0uy5zc3Fz32rVrA/b95je/cXfs2OG6rutu377dffXVV/0oLfD+/ve/ux9//LH76KOPxvYNd+wsvM/N98C4GDqx3DgjzPGObVNTkw/V2dLU1KT8/Hzl5uYqLS1NGzZs0JEjR/wuy6TB/y+PHj2qyspKSVJlZSXv6WE88cQTmjt37oB9wx07C+9z8wE2HC6Gnhhvv/22ioqKtHHjxtjQwnDHFiPr6OhQdnZ2bJvjNj6O42jlypVatmyZ/vznP0uSrly5olAoJEkKhUK6cuWKnyWaMtyxs/A+D8w0+pFwMXTiDHds33zzTVVXV+v3v/+9JOl3v/udXnnlFe3duzfuz+Gau3vjGE2MDz74QJmZmfriiy9UWlqqSCQy4HnHcTjW43SvYxe042oiwPy8GHqyG+2x3bRpU+zDQrxjO5WP4WgNPm7t7e0DPuFidDIzMyVJDz74oNauXaumpiaFQiF1dXVp4cKF6uzs1IIFC3yu0o7hjp2F9/mkGkJ0B10MvX//fnV3d6utrS12MfTChQtjF0O7rqt3331Xa9as8bHq4Ors7Ix9fejQodjMpeGOLUa2bNkytba26vPPP1d3d7cOHDig8vJyv8sy5euvv9bt27clSXfu3FFDQ4MKCwtVXl6u2tpaSVJtbS3v6TEY7tiZeJ/7O4fk/h08eNANh8PujBkz3FAo5K5atSr23Jtvvunm5eW5S5Yscevr62P7T58+7T766KNuXl6e++tf/9qPsk34+c9/7hYWFrqPPfaY+9Of/tTt6uqKPTfcscXIjh075i5evNjNy8tzt27d6nc55ly4cMEtKipyi4qK3EceeSR2DK9du+auWLHCLSgocEtLS90bN274XGkwbdiwwc3MzHTT0tLccDjsvvPOOyMeu6C/z7mQGQBg0qQaQgQATB0EGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJv0fqonnlf4gti8AAAAASUVORK5CYII=\"\n",
        "  frames[98] = 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\"\n",
        "  frames[99] = 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uwpYRYBh0t26JS1d6p33WLqU4cOpKjNz8LbjeLdFYTIPxotZiAASprJSOnpUmj1beuUVwiuILLWdBBiA+8Zav+Rhqe1kITOA+xKJSGfPDl4uMW+eN7uQHhYmE+fAAIxbdfXw8JKkK1eYXYjJRw8MJjBEFRwD/y3OnIm/UF1idiEmH+fAYEJpqfTee4P3pad7i2GRWPH+LYZauFC6cCEh5WCCWWo7GUKEWT09UkqKlJ/vdyUYaOZMwguJQYDBtL4+qb3dm54NfzhO//cLF7LOD4nDOTCYkJs78nOuKzU2Jq6WqS4315tleOWK9zUvT8rI8M55MesQicQ5MJgxfbo3bDiU40jr10v19f37IhHv4rFRmZnSuXOTX+NUsWePN8uQ0Eo+ltpOAgymLFsmffBB/7bjSDk5w8+5ZGRIN28Oft3QkAMwnKW2k3NgMOXUKW/IcMMGae5cL5TuZcLAVB9mrK6WsrK8YM/IkEIh7sUF+wIbYLW1tQqHwyopKVFJSYmOHz8ee2779u0qLCxUJBJR41Rulaaw+nrp6tV771E5jlRePrk1BVlrqzekevOm9/jPf6S//pV7ccG2wAaY4zh68cUXdfr0aZ0+fVqrV6+WJLW0tOjAgQNqaWlRQ0ODNm/erL6+Pp+rRdBkZvbPjosOMyb78GF1tTeFPXrH47S00ZcY3L7N1TJgW2ADTFLccdgjR46osrJSaWlpysvLU0FBgZqbm32oDkF27pw3vDiWYca7qa72FvFGQyItzRuOm+x1aJFI/9DfaH+vtVX66qv+Ox7fuSOdPz/yEoNZs7haBmwLdIC98cYbKi4u1saNG3Xjxg1J0qVLlxQOh2OvCYfD6uzs9KtEBNhYhxnvprXVuwJFNCTu3PGG486f93p5qanebUKigTNtmrd/2rT7C7qBQ383b4593Vtjozf1ffr0/n3p6VJFBTMIYZuvAVZWVqaioqJhj6NHj6qmpkbt7e06c+aMsrKy9NJLL434e5yBKykBn/T2Sl98IbW1eUETHUBw3fEFz0jGOiGlvNy7buSuXdLixV7A/uEP0r59918L4CdfFzKfOHHinl63adMmPfXUU5Kk7OxsdXR0xJ67ePGisrOz4/5cbW1t7PvS0lKVlpaOu1bgXo10SnaiZkKONCElN9fr7Q38+wsX9vdAa2rocWG4pqYmNTU1+V3GuAR2HVhXV5eysrIkSbt27dK//vUv7du3Ty0tLXrmmWfU3Nyszs5OrVy5UmfPnh3WC7O0lgE2VFVJx455V6AYzdAQiRrvWrT8fK/35rojr3uL2rNH2rpVunXLGyJM9okrmHiW2s7ABtizzz6rM2fOyHEcPfzww/rjH/+oUCgkSdq2bZveeustpaam6vXXX9eTTz457Oct/SPAjugVKK5f90Ll88+9c2FRM2dKCxb0B07U3YLnbiorvd5beTmhhMllqe0MbIDdL0v/CLBt2TLpo4+k4mJvobXUHzgPPOCdFyN4YIWltpMAAwDEWGo7Az2NHgCAkRBgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMIkAAwCYRIABAEwiwAAAJhFgAACTCDAAgEkEGADAJAIMAGASAQYAMMnXAPvLX/6iRx99VCkpKfrwww8HPbd9+3YVFhYqEomosbExtv+DDz5QUVGRCgsL9cILLyS6ZABAQPgaYEVFRTp06JB+8IMfDNrf0tKiAwcOqKWlRQ0NDdq8ebNc15Uk1dTUaO/evWpra1NbW5saGhr8KH3KaWpq8ruEpMGxnFgcz6nL1wCLRCJatGjRsP1HjhxRZWWl0tLSlJeXp4KCAp08eVJdXV26deuWli9fLkl69tlndfjw4USXPSXRSEwcjuXE4nhOXYE8B3bp0iWFw+HYdjgcVmdn57D92dnZ6uzs9KNEAIDPUif7D5SVlam7u3vY/m3btumpp56a7D8PAEhSkx5gJ06cGPPPZGdnq6OjI7Z98eJFhcNhZWdn6+LFi4P2Z2dnj/h7HMcZ89/GyLZu3ep3CUmDYzmxOJ5T06QH2L2KTtKQpIqKCj3zzDN68cUX1dnZqba2Ni1fvlyO4+jBBx/UyZMntXz5cr399tt6/vnn7/r7AADJx9dzYIcOHVJOTo7++c9/6oc//KFWr14tSVqyZInWrVunJUuWaPXq1dq9e3esN7V7925t2rRJhYWFKigo0KpVq/z8TwAA+MRx6aoAAAwK5CzEsWAx9OSpra1VOBxWSUmJSkpKdPz48dhzIx1bjK6hoUGRSESFhYXauXOn3+WYlJeXp8cff1wlJSWxJTXXrl1TWVmZFi1apPLyct24ccPnKoPpueeeUygUUlFRUWzfaMcu8O9z17iPP/7Y/eSTT9zS0lL3gw8+iO3/97//7RYXF7s9PT1ue3u7m5+f7/b19bmu67rf/e533ZMnT7qu67qrV692jx8/7kvtQVdbW+v+/ve/H7Y/3rHt7e31oUJb7ty54+bn57vt7e1uT0+PW1xc7La0tPhdljl5eXnu1atXB+379a9/7e7cudN1XdfdsWOHu2XLFj9KC7x//OMf7ocffug+9thjsX0jHTsL73PzPTAWQ08uN84Ic7xj29zc7EN1tjQ3N6ugoEB5eXlKS0vThg0bdOTIEb/LMmno/5dHjx5VVVWVJKmqqor39AieeOIJzZkzZ9C+kY6dhfe5+QAbCYuhJ8Ybb7yh4uJibdy4MTa0MNKxxeg6OzuVk5MT2+a4jY/jOFq5cqWWLVumP/3pT5Kky5cvKxQKSZJCoZAuX77sZ4mmjHTsLLzPAzONfjQshp48Ix3b1157TTU1Nfrd734nSfrtb3+rl156SXv37o37e1hzd3cco4nx/vvvKysrS5999pnKysoUiUQGPe84Dsd6nO527IJ2XE0EmJ+LoZPdvR7bTZs2xT4sxDu2U/kY3quhx62jo2PQJ1zcm6ysLEnSQw89pLVr16q5uVmhUEjd3d1asGCBurq6NH/+fJ+rtGOkY2fhfZ5UQ4jukMXQ+/fvV09Pj9rb22OLoRcsWBBbDO26rt5++22tWbPGx6qDq6urK/b9oUOHYjOXRjq2GN2yZcvU1tamTz/9VD09PTpw4IAqKir8LsuUL7/8Urdu3ZIk3b59W42NjSoqKlJFRYXq6uokSXV1dbynx2CkY2fife7vHJL7d/DgQTccDrszZsxwQ6GQu2rVqthzr732mpufn+8uXrzYbWhoiO0/deqU+9hjj7n5+fnur371Kz/KNuGnP/2pW1RU5D7++OPuj370I7e7uzv23EjHFqM7duyYu2jRIjc/P9/dtm2b3+WYc/78ebe4uNgtLi52H3300dgxvHr1qrtixQq3sLDQLSsrc69fv+5zpcG0YcMGNysry01LS3PD4bD71ltvjXrsgv4+ZyEzAMCkpBpCBABMHQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAmEWAAAJMIMACASQQYAMAkAgwAYBIBBgAwiQADAJhEgAEATCLAAAAm/R+LHtK2bXGBMAAAAABJRU5ErkJggg==\"\n",
        "\n",
        "\n",
        "    /* set a timeout to make sure all the above elements are created before\n",
        "       the object is initialized. */\n",
        "    setTimeout(function() {\n",
        "        animYKBXXNEPPJPOCDBF = new Animation(frames, img_id, slider_id, 20, loop_select_id);\n",
        "    }, 0);\n",
        "  })()\n",
        "</script>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 47,
       "text": [
        "<matplotlib.animation.FuncAnimation at 0x1074ca210>"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}