Discrete_transfer_func_speech_noise_filter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do `Kernel -> Restart & Run All` in top menu to run the notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from scipy.signal import butter, lfilter, freqz, resample, convolve, tf2zpk\n",
    "import soundfile as sf\n",
    "import IPython\n",
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Speech + noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# read the speech\n",
    "data, fs = sf.read('data/050a0508_1.4465_22gc0102_-1.4465.wav')\n",
    "# create white noise\n",
    "noise_all = np.random.randn(data.shape[0])\n",
    "# filter the noise to have it around 800 Hz\n",
    "b, a = butter(5, [0.2, 0.25], 'bandpass')\n",
    "noise_narrow  = lfilter(b, a, noise_all)\n",
    "# add noise to the speech\n",
    "data_noise = data + noise_narrow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create bandstop filter to filter out frequencies corrupted by the noise\n",
    "b, a = butter(5, [0.15, 0.3], 'bandstop')\n",
    "data_filt = lfilter(b, a, data_noise)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clean speech\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Corrupted speech\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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BknuIN6p3WvtcAQyGUYhehmsBofxeON44njuywG1EfoZMxVCCS/5Yeyw6Orth/uJCdYSRxQVDHH/m/I467rtjfd/BH4PghNADhMDoPaZ7kPuuPVOAdMLtg/ODLYEFfum9Ez01vhAAPwFWAhFB/cCh//A/XD91f1h/Yv8lvyv/koDrgh8C6wI/P8t9QTuw+47+DUHOhQGGOkPff7n7PHi6+aX+D0NMhx3HIUP+vku6J3hWOkQ+8MN9hhUGJ4L+/of7tTqT/CZ+4cGHg7JDUgJIAI4+8z2q/T79NP5OQFgCWkOFg43CJn8c/KJ7ILwlPx6CxkWjBZTCyn6ueo85XrtNACnE3MdtxiWBkDxrOFW4gLzGQp4HYEhtxKE+s3jDduu5f/+mxk0JvEfyQcu6rbXcdlu77oO0SahKtEXlfjT28jRLOAN/sUdry3qJSMKlOja0vnVVe1/Dt0n7ystGTn5sd1H1e7jJQEcHTAphR7aA03n0tjO4Ob4xxXdJpYixwxg7xDbwtoR70IM3yNRKFwYvfr03/3UZeHN/LMZkCnZI2oMv+4223bZOepQBTQc0SOsGeMDk+114krm0vVRCBsTbhM8Cr/9GfXb85r5ZwF2BZsDm/4e+YT6MgAjCP4MfAovAMbzQuyO7mT6nQpSFmcYwQ2R/ELsLeQF6rb5AQ6kG+4dYhMsAFPtw+ER41/xGwXxGIsi/RyQCjXy3N0Q2JTjEv3QGkAt3SrcFUTzqtRpyVjY7PoBIQc4ETUMFzbt7cuEw8XYYgF5KbQ87TBMDAXiGMdCyRnn/Q8VMFY2eiAH+7zZQs2424j7cRwuLDMk6Qjr6oPaZt5q9NUPSiC2HhUMtPNH5KPl9fQdCwAaOhn7CuL1sOcm6OH18AluF90WGwn/9dHoNOlO9s0IshWRFXII8vV46qvqH/iTCQIVTBN7BRb0pOgR6zj68AzHGLEWtQa/8RLj+OPk86YLSB7xH3gQRPfY4FPbT+hVAwgcISYvHLECSudY2drgzvjFFcUlBCLbCtbuQtxw3ZXybw5fIkojVBDm80Dejtsc7bkIDyFjJmMYNPzC4tzYyuLF+6UWeyRgHwELUPHi31Xfve7yBBgXARwtE4cCY/JE7InvWPn9AngH/QbCAt0BNQL8AxsEVP6n9uPuTe95+AQJMRhQHdsS0/zg5XzZVN9X99AUVyq8K4IWMfZs2fTOytzP+64cBi9pKtYQ4+/O1xTV++bwBBcfrSgwHT8C1ug93B3kGPlsEZceZBn0BW/vAOJo5fD3Eg/+HYgcXgo+8srfmt2Q7d8H+B1JJZAZDQGh5jzYudxH8h4O4iPyJxgaxf775IjWJdsX8GcLdSEoKI4c8gQb6+3aOdt17OkECxtsJG8dswpx863iJ+AG6+/+dBEYHAcaZwzB+rXscujd7Q779Qi4ECYRqAiK/1D26fME9179YwPVBCIDRP8n/XD+KAJnBhkGCgHv9+Hw8/A0+aQHPxTtF0QPbf2V6ePewuLT9ZEP0SM8J50YAf0A4rPTptjo8FsQBihDLpwf0gOK5Z/TktXH6ZgGsh8oK2ckeg8p9HDfStjg4an2aA7pIIEkQxr2Bcbve+Ar3wTqL/72EXEcFxyeDs39RvA16fDrm/WbAMMJHA1vDFkIswPy/sP61fYs8w3zY/fD/w0LjRQ7FkcOv/2j69jfmeGV8P0I3x47KJQfjgfG6vfWp9UA6LUF0yDEKwcipQhu7Ibb4tzj7sEHzho5HiETFABa7/7pgvE6ADUMPA/VCD388fI/8sz7pAlCE4YSWQYo9JLl0OJC8IEGhxxaJkYdPAXw523Tv9KV5zwJ0SkNOcssdgti4rzE+cH52joGXjBVRFs55BID45K/87kA1KsD7DBcR708eRVn5Q3DEr7U1mkDlSytP+s0dRGf5/TKycjI4MQG7ydwNJEn4Aeh5uvSYdZX7kcOhybqKtoZnfym4VjXHuGU+WIV5yU0I1UO4fFa3ZTaxOoiBUAbHiQhGYMC8+u/4Nnl/fecC0cXyBVCCTj5se/S8LD6egXwCVUG/v269tj22v1XCAQP7gw/ArTzTeuK7f76dAwEGA4YbwxX+dbqpOcr8f0BrxChFAwPjwI19oPyWffxACcIhQg4Aan4R/Ww+SQFnhASFKgLvfpw6MPg1+dd/YsXSifbJHAPOvC01lfPq9+GAMYiVjTmLcwRz+uWz5LJAd1lAHYjtDXJLy8UMPDN1JrMe9ul+LYXnCuIKzYaef6s5KDX/Nro7XIHrB26J9Ah0w4v9jriNtqP4r71oA7TIVQmGBtHBOvrANxI3OnqsQM2Gkcl4R+nDD/0NeJK3VHoK/26Etwe0B3HDSL5regE42PqwfuSDcMXjRfDCiD6lO1g6dDwL/4GDFMSDRBKBU34xO+m8HP48ATfDaIOsAcZ/ILy9vAZ+KQDvA1UENoJh/2a8jLuI/QkAFgOMRSeEcQFH/bg6r/qdvSbBEITsBgaEz8EdPL75q/noPKSBJ8UFxqHFIkFfvPZ54LnkfHFAXYRDBiQEy0GI/bi6vDplfK1AYkOfhTwD3YDa/Zh7o3uTPc7BFkOTRFIC7f+pfON7SfxKvz4CY4S+RHyCET62+0e61jxdgDWD+QX/xNWBhz1o+kj6dHzcgUwFEwYvRCBAD7xyOnu7mP8iwrTERAPcQTp+IbyCfX4/RMHVwsGBqX72fL/8fb6twiiE/oT2weV9WHlsOH07eQF0xy9JsUc8AJS5aLSDtY17yMRLitIMLkcSPsC3AnOydht9uYXUy23KokTO/Tk24PWN+YMAucacSXAG1UFjO0A4IvlB/fLDBsbPBrsCsL2pudU5v/yXAbzFqsaJhHN/ezrJeTA6kn8Uw87GuUX7Alw9o/niORS7ywBthEeGckUOwaZ9RHrYelI8lIAqQykEu4ObQXE+tXzKfJp9sD9YwSCB5EG1AR+Apr/H/63+0j5efex+Kn8fAU9DtoSjg5BAb7xsOWy5qDzVgl2He4jlhmuAMjlctYI2xLyARIxKbAtmhsc/KLdss9K2TL1uBVMKzwrWxfh9yneONZq4T/5pRFFH84d5Q7X+iHs1Ohr7xj7bgWmC/IK1gYRArr/of4M/bv5h/ZD9e/3SQAtCvwSrBMqCx37bOtA477mYfetDKsfWSV/Gk0CTOfE1UrWreq2CdQlrzLMKNoLNuhQzu7JFN4WAukmTjskNaYWeezQyWe/3tE4+/knJUIoPiocq+uuxCW5wM9T/assukSMOwkUauMtwo/Ajt68C4Ew8zrLJsv/BtxdzYjZQfn7GBgoOiCsBgvrMt405nv9CBX2HvMUuf2g59jf/uvBBQwdMyXHF6n8CuKZ1tThj/1PHNAsvSVCC37rvNVh1pnqSwlTIokpwRwZAjHpCN1S4iH1/AquGIEZ1g3w/f7wou3x8t78uQV+Cd8GjgF4/cz7M//uAc4DYQHM+634PPgp/DIDxQnHC5QI9ACf97nxN/Fe9+0BnAv6EIoP3wYL+/zwi+1R8sX8JgmhEcwTZwxoAKH0Bu487wL4HwOkDf4QHQ1jBFr6xPMn8wr4LwBIB4sKewgyAiD8/fim+RL94QJHBesDRADy+sv3bvny/+YGGAxpCz4Dffc57cbr5fPgA7AU/BzQF1QFdu2g2y3aZ+sACX8lTzEtJggH5OG0yELJAOMGDr4zwEKCMtMILNvEvW2+695BDp43EUdQNhINpd/LwVbAG9vNBAUrLzy/NNAWEPI51ArKINVN8NwRySpcMuIl9Qkh6gHUjc463qb8tBuVL4ku0xgU+DDb2c0s2JH0dBXEKyIs0xc7+UbeINac4WH7bxZPJLodbQlG8cDh9uNz9J4JLxmXGVUM4fgn643ptPRdBWwSmRXXDJb+qPKZ7cjzev95CQkOeAqhA2b8Lvmd+Xv9AACWAPP/G/4yAaYElQfZBpkBsvj88czwfPeuBPsQkxW1D3gBMfCh5innjfQfCGwXCxxwEpgAt+3a4wrnLvY0CvIXbxnwDqr9Xu7K6KTtQPsMCmQTWhK5CC/7L/Fy8NL2mQHLCpsNcwmZALf3//OQ91UA4Aj8DCgJGf/I9GDwl/VkAcMOKRWmENYAp+9A5ernGPjJDlwfWSGAEBP2dt6Q1nvjU/5VGxUqgCSADCTuwdmo2L3p4wQ5Gzgj+xi4A13wP+aJ6RL2zwOMCzgLdwa/ADcAXgFzAt3/X/ge8v7vyPeJBmgWlh2dFoYCmekq2eXamvA+D0sqijEaIEX+kNpSyEnRJ/KQGtA2eDmsH6L1ENHOw8bTCvkGIEg3zjGKFGjvV9MbzozhzADmHSYpbSDGCG3v1+Gn4+PyqAVpEooTBwvw/ez0AvQR+rUBywVKBFH+Jvna+FH+VQbVC/MK5wJt907vU+/X+FkHCxP4FesNp/0f7mbmtux6/E8PXBpUGVILDfj054LkO+/SAeoTMxs+FdcEw/Lk5//oYvamBzkU5hTAC8H7Q/Bh7E3zSABnC2kPpApuANL1KPNo9jn/nwfaCoYHIv+o9gj0UvccAHUJxQ0uCjMBEfad77zwZ/msBpoQ1BLVCy3/+vGO6oLtBfnfBzQUmxaVD/MAcPJm6WXr6vVmBGcRwhZBEpcFlPfj7VDs9fIiAL8L/xEWEb0H0Pt38pTu4/I8/RwI1Q5kDlgGBfvC81nycPgbAlQLzQzxBqj7mvGU72z3KQUiESQUaAut+kHrpOVx7b4AoBUjH5IYcQQM7Z3druAG9JAOcSEII/8SOPjL4mfbZui4AHQYfCKpGlUFe+4e4T7lJvcaDYUbJxtlDGf4Tei85TTx/wP0E0UZyBExAffvvefx6jD6bwtjFo0WlgpD+YzqQeZb7hgAtREoGpsWpwYJ8wrli+NV8BwFihehHisXNgTT7iriA+JO8KIEBhdwHhsYWgf1897kkuKw7E7/GRIrHSYb5A26+j3qR+OO6Ev5NAyxGD8a+w8a/3/w5+nR7Zn6xQdbD6oP6gdf/7/5ZviT++3+SADE/u384PzOADAHdAsJCogBSfYC7Q7sE/bDBoAWoRsDE14A3Ovo3+riGPVZDZMf8SI1FPz7kONi2mDitfhTE1skWiMDEf71c+CQ2vPlYf58F7clpCEjDRbzNN8b2oboQwGCGjQnGiEyC5Pvntvg2HDpGwVWH94qJiGgB+/pstbU1qTszQs+JeEqpRvm/tng7NR+3Sv4shX6JzMkSw448YfcTdue7b4IFR4BIsESOPlq43LerOuNBKkaYCFLFNT7reTu3JHoKAKsGnomphycAerlT9Z43bP2GxZmKvsoJBL18GnXbNPF5oEH+CNaLhQgSwEh48TTFtzX9zQXjSmrJUYOvO+e2gTaWu3cCdMfHST2FEH6ieOi3PLnbACOF04h0xioA2PsbODk5Wr34QzsGcIY9Qq+9yXqSOiH8kIDBRAnFKgN4f/s8/vtG/Jj/I0H0Q3kC3sE6/rL9d/2nvz3A8sIdAcFAlH72PeG+pj/ogZQCkkH1P9+9qvxyPUsAIwMUxSzEbEEk/PB5jLmxvO1CYYbdiLaFUb9q+Ph1mzebveyFTsrNCq0ExbyudZAz2TfOQBmITwxnSl7DH7pr9E90LzmZwgCJRYv9iGLBHfl6tPq13TuFAz8IqwoYxtjAc/nrNtR4Fv0Eg3GHk0hRxSa/fLoEOEJ6IH6zg40G5kZFwuS+OLqCunc8ycCaA8oFIYNFACl8+HucfPA/psIcg37CTYBxPje9HD39v4fBncHkgPy/T/4Dfn9/fsEHwkLB9L/3feS8+D1W/+gCQgOPwswAUT1gu4c8Bv68QdvEuITrwva/DjvQuqg78X8vgp/FI8UvAtB/uXxhuzK7qX3QgQ5DhcTThFwCD39J/OF7ELsjvTbAS4QKBq7GTUND/o85xDdD+PH9VAQkCQjKC4Y0/uv37DRvdmN9JMVyytcLHsX8vbp2wHSbN/i+0QZ8yccInQLX+8A3pje+e9xCVQbBx3gD0v50edd5bLxgQdaGbIcRg9j90TjVd7k7CkIxCD7KbAcgv/p3zvQQ9h59ScaODMWM78Z1PLO0VXIOdrF/SAjxzU0Li4R/O341NHRwOMjAS8b5SS6HCwJt/T76bDrMfXm/xoGJgUuAiEBrwNRCZMMSQdJ+6nsk+Qq6Uz7yREDJAkmohTp+IveQtFb2SL0nBQQLEcxLyAIApXijNH10/XnZQXyHlYtICo2F3f9s+Mj1O7TZuWxASggCDSlM20e7fmV1XfAk8Ze5pIU+Tt0SW81RAiL1UO2n7h325wP1zqfSq43gQsI3PC/r8Gr35AJDiv8NPwlEAgt65fci98o798CrA+2EV0MdAV7AC7/Of+9+9b1UO/Y7j/5LAorGxciRBgvAEDky9K61obwVhQ3MUA3YSF9+e/TtMOY0a72biBiOlY3Yxhw7iLO9MZv3EYC3iQjNPwnMQk16JjUedjm7xsNeCEjIsYRM/mK5V3gT+zzASkVyBwlFEcBqe0h4yroTPgEDY4bbx2ZD+759+WE3RblK/mmETMjxCTDFU37k+I/1ljda/RwEfoncCzbHED/IOLv0fXXg/DhD/Aofi3PHUAAS+RK1lXd/fOHDnkfgyCpEdD7wevp5yzxbQBDCxEOgAYZ/M729/hFAqcKgwwGBUH3aeto6mn1hQgsGrYf3xRL/mzlAdjc3Qr0rBH/J2Ar/xmi+yTeJtGr2jz1JhRHKc8qhRfA+y3iKtgl4RD4sBAIIGkfzxB9/M7rduZs7bP7EQqJEZUPEAjC/fr3Dvdh+mb/qQJwAtAAF//n/ysDEAVdBIcAhPli9Yr18voaBXMN6A5MCR/9MPKf7V3yUv7aC28SLQ8iA8T1tu1z8KX7nwj7EMgNMAKd9ATt7fFL/0AODBbqEAgBv+935P/oQPqzDxofQx7tDiT2XeKT3IfoyAAdGoIm6yBMC/nva9xT2Wrp1QLeG2Qn3yCJC8/xbt4o283ozP9hFnIhAx4hDUj3meby4JvoWPknC0cYYRp/EuMCp/Kr6H7nau/g/JsLDBYkGOYQOwKY8XjmE+Tf7soA6hPBHnAdGA6G9/Tj7tpX43D5yROoJgEo7RVR+UTeGdOE3Uv5kxkcLnYsyRQN8x3Xo8854L0AgiAjMOom2wsg61nW19b36j0JJCDEJo4ZwAHT6oLfYuTC9T4JlhagFz4OrP+h86Pt9PAn+XsCHwkMC7AIggPG/T35f/cn+Er8QwLHBskIpwX3/8D5ffae99r9mQUFCw0K3wN7+bLyv/LI+ecFhBDCE2MMU/0h7pvnL+3s/IEQSByyGggMYffd5B7gierS/84VdyG8HbELifSG4kHe6ujx/UsSwB7CHQ0Pnvow6Hrg9OXo9QMKyBlQHowUjQKy7o7h7+FI8FIFmhj6IM8ZoQaz7yvgVN8k7aoDwBeMIJIaXQjC8i/kfeNq7ocBrRE1GcsVNAms+vDvsOz68YT7owRGC5kNBwyXB7gBivoT9LDv+++79w4EExL+Gg0ZDwqE9J7gBNm04+785BrTLdYsWhSf8QDSz8c12CL8SSP8OeczsRWZ64jMQMbW244BFyY5NXYqvgv45zTTM9VD6jwIwB1LItsWOwI78I3pzu46+wgGDQtxB20BpP3C/XsCjQVHBHT+bveX8732DQE5DLsTYRF5Bbf1BeqG6NPyigL5Eq0aQxUmB7j0w+eT5A/tuv09D9EaSBtbDyz9purQ4JfjrfLUBx4bJyOwG7AHc+5I3MPY/ObPAHEazigcJPEOlPJf2/LUQuOP/qMZaygSI9gNHfOf4LXdv+txAfMTyhklE5ADKPZe8Rf1P/4rBoAGXAH5+b/3bP08B+IQwRCoBrf1q+bI4rTvqwbRHUAnNR1rAwfm19L01Nns3Q6lKi8yZCAQ/63dZcyR007ubBKxLFMyXiAg/yff382n1Hztew5YJ3QuKCDrAhblCtRS14HsJAohI+UqUB+LBGnovdbV2BXtCgreIgcrrR6TAzTnmddV2zDxvg14Ipolehc0/jznNt035ZD5GRB1HLAZLAtl+EPsieqd82UAygqGDKQHwAA2+zv7Cv+oAq8CEP5J+MH1xPitAZcLlBBCDv4BF/O86YHpy/SkBo4WtBs7FDEC7u3W4hrkuPL8BisXLBx0FO0Dy/JL6Svr6vRvApsLfA+CDGcGagBM/VH6Q/jO9a30HfkKAlANNRazFjcLefhS5lLewOac/BwV5SQeI38PZPTe3pXZBefGALYWVSGAGmII2vRq6BPpy/MIAW0KkwslB+8B1P6t/0IBBQAN/Jr2dfPN9lcBwg2CFD4RwgRg9LToPucn8soEeRUjHCMUfgM98j3nGuqQ9pAG7RCZEvIJGP6W9tv1ZPxzA5IG5gL2+9319fb2AD4NXRXYEUQDsu+r4QbiUPKJC6QhaigVGxv/W+IV0kHX/u8wEakp3i4hHuv/B+FB0eXW/u7ODdck3Sm6HDIDfulp277dVe6lBSMX5B2dFs0GqPW66kDq5/O5AUsMaQ/ECncCpfpf96n5Uv9sBD4FNQJ2/Jz5vvv1ARYKcg2BCmz/lPNM63/t5/pDC9kYuBpTDx37auh34LLnePswEh0gRB0RDDP0duIk33rsfgJrFp4eEhiRBrXyMOc/5yjx4gBNDpATpRBwBwn97vQt8dLx7/d7AIEJ6w90EAgKRf+Z8g3rSewT9uoGKBWrG24UUwNE78Xi/+Ne9N8KIx2qIDAVGP6a6BneYeV9+nMSSCBiHaQLLvTR4sPhOvAUB8EZOx3xEcD8lekU47fr4f5+EaQawxQXBe7yTuhd6yf4Lwj3EsAScAjH+fnu8O3L9g8Dtw0dEEgKKv4E9anwBPVl/gwI2Q1NDD8FIPzT9cL00PhHAGEGygnPCEkEnf9j+xT5X/lk/Oj+iQI0BR8HiAgCBt4A6/p+9OjyLvdc/7gJxRBkEKIIh/uM7z/pDu45+qkKpxfRGSQR9/6164bg0+Lc8vYJBh69JNoaowKX5xvXf9hC7cIMZiYWLpUf1QB04M/Pu9Uz8BgSnyqbLWwbJPym4FzVLN/596gSQyKeIPMQMvoZ67nm/ezF+xIIRw8mDzYKHgOC/Yn5NPfc9qr43PueAiEJUQ3xDHsF8vqy8E7tO/KG/RMKzBHAEV0JrvzY8azsT/Eo+x0FWQtzDJ0JsAPk/uT5I/d79B31wPijAbEMnBRiFT4Lh/gF5kndzuMZ+ugWuir3K4QXkvQO1fDIL9cp+ioibztEOBgafu0Xyby+v9P2/usqGUP+OrkWL+dDxKu9EdfrA0stHkH3NGcPZuSnxkLGsuDRCZUraTafJg4EzOFJz8XVlvDcEJEl/SYWFBL41+Lq3Jrq2wHBFRAd4xLa/4zskeXM7PP9ixAQGMcShwIm8J/nN+0C/d0NPReZE/IGOPUO62rs4PeXBj8RPhEUCUT9EfT88VD42wEmCHsIxQO5/rX6HfybARwFTgYEAdL5qvPc9Dn99wecEaIRhAjK+L3pCOWs7Ez+9xJkIIse/gyi83PdYdaO41/+oxuELMkoQhCZ72zUJ86M3/YA4iKhMj8qzwwv6S7QVs8J5xYJByc3MLUh4AI04/DTWNrq858R9SUVJrkSQPie4lPds+k7AFYV1h0zFrcDW/GT6Orr5vnECeASSxFiBnj5YfA58e336wEiCLMJhgX2/l38uPt4/XT/XP7F++b6Xf6sBC0LAw6SBxr5cOtZ5dfsGQFHF1El0iAXCRfqrtEUz8DkFwsrLwg+Ly6KBtzYxrvywADkUxXzPnlKSTKwAWHSWrcCvyrmihYUPGtDhyv+ARzb/cX7y3bqWg1sJxktfx9sBtDuT+FV4njv+fx8CIEO2w13C30JJwUD/471tOsm55jr4voUEekhuybiGPD7EN6kyyXR7+vYE1wz9TxvKtYCdtgov0PDs+J6EEo2dkNVMAAIedxYwl3EteInDHcumjpIK/wI2+amz1/S6uaZBXcfDijUHm0JkvJA5JTjru6E/4cMdBMdEAEJYP7y9pz0DvUu+RD/uQKYBicJCgdBBOL+LfnE9Eb19vnlAPsIIQwyCpQDXfo88zzyLPbK/70IBA7+CrcClPkY85zzo/q/BNEKkgwDBVn74/MU9Pv62AXrDbQNYgaD+n3wW+9y94IFbRJjFNILS/1S7qToAPF+/z4RYxinE5MDlvLf6Frqovj+CXATHRTsCYz6rPDO7LL0HwBoCkINAQlyAND6c/YO+7P/bAIFAloACv5l/+IBMga2BWEAQfgG8nHzKvuFCNUTlxRtChv5Iugj5O/uVgQWGbkh7Bj2A/jq4tpq3kvztA8CJjcoHBny+z7gY9QE3Fb2dhRPK+MszBpk+xveXs/61unyfxUCL1ozDR+A/I7Z1seXzj/txBWnNLc7QCey/jfXuMFGyQjrYxbFNk0+iCYk/7bVZcIsywntKhWQMkY3biBi/GvcjM7Q1nTz8hBKJfEmWBdY/z3s7ePb6Lb1WAOYDdwQrw+hCXkEn/xE9W3ugOx08hABRBHdHcEcpg8N+KnhzdbT4Df7uBiGLtQtWRY48/7TN8ip2Kj6BiDDNCYxJhVy8LLTzMsc3c/9vB11K70p5Q9P9kLfV9vs5Vb8Ww90G7gZYQ7e/+HvX+xY7Hj1ygCSCfMQGA9QCswA1veE8Sjw+PZQAJoJeQ4bDRAGav0K9ZvyEPhf/9AHxQopCCQDe/vT+Pr86QBCB4sHKgMd+h7z7vGn+/QHTxSnFCoLe/c+5ireGuhz//QY9inlJcQPHe5R0zbMs95dApcm7Dn6Mu0RyuZvyHrBUNqIBEcssD+iM64OO+P6xsLGKOCBCDYqtjSTKa8Ig+kQ1gDZvO0ACDAamSFeFGwEyvIu763y1fshBDwH1wXj/5z8jQB7BWIJpQhV/b30fOqE7aP5JQ24Gesb0A/M+HLlBdpB5qf8CRjKJr0hJwtY7uzaG9o77skKSyNCJxsXMvlG4JLW5uRjAPodcSi0HaoA6uRj0xbe9veBF9gsGydWEO3s5da80W7nOwknJ+wxRCTvA2fjuNFD1kHx4RD0KYErcxpF+/fh+tZ84+j5uxI8H84a6gnZ9O/mKOkB99MGChG+DrsEaviz8Ibz3/4fC3wRBwz//rLyp+sf8UT9ww3pFtAUjAbo9HDm8uQg8WkDPhaoHN4VvwPh7Qrj7uEW8gAI6RnOH+EXbAOq7YLi/ONM828HIRsLH3oX3wN873zjEOY28vQE1BWnHJIT2wfG8yvqreUj8Y3/ohBaFvQWlgn++nvrMOfB6sH73AtcGAMaHA88/XLq6OO65v35Mg4hHmUblw8g90vm893E6Sf/WRbhIJYb4gbT7gPf8+BX86kKkB4uISIUBvon5e/equtVAGEZsCHqGKwCGuwu37bmUvoNE0Qg5xwYB0/wzd8r4tb1Lw+FH0wgHA1I8fnfVd538HQLaCFDJhIUMvkr4KzYquZ6AnceJymcHz4E1uZW1gPcGvJ6EUQlXyaDE8X15t452BDlXf67GOohGB/JCJf1++P94dLsyf+yEEoZkBhkDSj/HvG46ibrhPVdAa4RixnfGMcOgvn26KHfLORQ9W8PLCDhJhAYg/+t5ATXVtw18nsPpCSZLDIbywKA5YTZq9p58XkI5R+QJbMcMQc28Vbgv97n51f7DQ/iHGUeKhQHAtjvp+Jd307riP/jFasfuB97DdH3xeVm3RLm5PpXE34g7h+vD9j5YedS4RvsE/4UEkAa1xSgCA31Ce246uL4nAYYEiIRUwih+c7wvuxx+VgFhBHTFF0MY/3A8HPshfGq/yENehYAD6sET/iE70fv//hGBWgMjwsoBGf7jvQE93v9QgeUCeEHmf7t9TrxlfaJAP8OaxQPEWUD0/Ft6EPojPYGCjoZmh2GEW3+bez/4NDnB/otDfcbpxjyC6T6Ueu56vPy9gFoC24MfgqpAnD8tP17/94BewH6+3v4VPd8/tIHcBEBFI0J9/nd6QviwOms/hgU6SLqHawL/O593M7YmejVBeMf1CkjHpgGnuh52DbcrvGJC3si2CIMFOj6COcd4xztFAHXE9YXMRAh/bruWuro9VgEuxQSFGoIIfak5/fluveNDagg9yCWD6T0Adum1Jnl6wdWJ0A2MihGBpTeu8UyysrsHxwWOn4/vyMc9yvHS7cbyGX6GCy4SDhD+BlH5Zq5LrX309kIyjX2Sp03mg5f2qG7qcPg32cS0zNiPeYrbwGn4JXLy89Z7nQMLibUKJIbmgTw6SfhgeJP8tUB5A5cFYoStQxWBRP3w/Hd7W3vy/GzBVMTyh5lGO0L3/g55CngVeKy+PoVcCTAJlAYyvop4lXQq90L8pEQbCn1Khseof0l46HVUtSG7hEG0yHiLd0dRg6n60fZ19Nw4UMAjBzfLcMnphQu8+zZvs9z3eb5KR3YLDwu7BIA837YWNAB4RP7/hzgJxQriQwX9Kfe0dcZ5ov9EhfWIg8cUBKA9UDlJOfF8LD/BQwJFQQQWgsjANr3SfV28hj4D/2k/+8I7BDNDWEK+fmp6uDnOObK/xEQrx/0HQsM1/mj2oXbgOPHBOQdaCi3IugDH+uz2TvdPfNrDqAmmigSFW381eGr3BLriQMcGKwjpRoOA+rvw+HT6FT7TA+cGpkSegBv8fbo/+7o/ywR8xoiDwX+He0y6CrxrATfGTAeeQ6A+jfl4+DA7QgEyxwnJHUdtgN95IvYatpM9HMTniQrJ/MSzPgz4sraneYX/LcRIR/DGzkN0vkc6q3pHO+9/m0Jow2wCy4I0P+S/h/+Yf2x+7X7c/pG/eMAFAeLDJYP9AeQ/KzxNuwb7Xf38wXFExkbfROkAk3vWuJD4VLs+wC6Fc0g1x3iCaXysN9s2gnlLfsXFpomrCNyEnv4IeJU2K/hrPqNE04jECDSDQf0dN9+23TmBf+zFGUdZxVZAqXrq91c4AfzSgkXGQkZ0Q3P/M/t9eip8UkEoBZ1HKEVqQR89Efsqe/T/BcNxhbDEeoB5e9J4AXcluIp78//ZwV4CoAGa/rZ9YP0r//QDkoWXhhrDkAC7vin8E/2ewAYDYEXAhS+D0cHkf2U9yPwqPE/70Hs8+sm5HLiSOHF9pYPNBh7FxoKmQDVAU7/AQdVB/gOwBD9B7j+2fQq97wE0BEHIH4kqB+BELD0XNoJzOTNd90N94UHEghS/qkEBPwl8gfp9fE4D0Eu2TJFJb8EqusC28vU8OgKC/IxQ0eDPsMiKQCc4XLTy9Ji4PD7PA+OFJgMUvVo3AjBWsit8YQIFyFQJtgm6SwLF672ldn0zJPeW/Z2Fek1N0S+QlogLvXs2E/POt/j+bsSzyTVIIkFceZXyLa97Lj6zCoZlzjnRm0wkwXz/u7v6OC951DnbgndGCccpCMOHkwfcxRb+13zIu038l3/HwcXEvwRQwQz6Y3RycBJwBrCGwnZQNdMKz1lBXvrQd/z0UfnzvtaHjg1myJ/ED36V/gRAnMJ0BTUGpcQNwHA7Bnm9epe+coA+QDa8YzYGrVfzWMWRDGERp0ofRAyBxjfn8uI0NTuSSxLOo03wSQJB4D4rOOB5m4CBhtcKkYd0gGs60vW6tLg2Z3r3fkM6abj+BtuIA8fvwNB7ZkGQQnb+j74WPLIDL8VLwtaDr8IZBFRDn4EzQwFFPoRAQZD7Jjh495U5dn2hQUXDOHz7sUc5PkDQQU+Fs8FUyZ2NlIYV/VVz77LaOnt9lkc9DoVS5JHKBfX6fLRBMsf4MX4OhR9MI4qQBVQ5+e8Nqm9kiO60TXoWXFwszxf+ovsicXXtynMjO5YNd9Mjj03KvEBbvdF6QLev/TdDGciECZNDMT9s+4D5Drh1tjZ2pLWvcIKDhI8u0B7Ogr24u715sLVtd+w6sUZ5kJoNnwjjP1b7nXv8e3oAcAa/ys+KYMI6+Va153XoeyE9679ufKyzhTHEw51GxMznR6WBqMTwvhc25TOmtQREuI04jytMisP0P2Q5YrXD+77EKA2XjwIGDztfsjLvz7PaObLAvwG4ufBDAAcqQGB/u3boQCJI6Yetw9V6i3lvfr6+VUOXharJVMwaxvbADTwBe7c/pIDcQGe+0D7KviL8hTnfdlaxivKKSH+JMkxlQ/l8PsHlQMQ9XjsINwSA2AWrBxpICsShxXyDij/v/Vf9mkECBYMD30Aoez74w/j7+Zd5NrgX9AjC6Ux6iWLEbvYTuZPBRQUHxcAAOv1DgKa9Lj7f/wbFzUz8jqRJfr/j9/o2NTfAPNzBUoWEx75EJnqV77YkQCvcBeOO/9hxSxtBLH4gt+B1OrO1NixFqg1pEJsLZMGP/oj8T7zN/hU/3sSxB+MGIEEKuZA29fZCd/h3gjRltZUJNIyVT0GDUTadOQh8LQDRAfY968Jkw/6EscRqP7tCRYQ1hhfFMsCEfjP+2P/3gNQ+izyW+s854jcuMzFxEgSczOQSDIlHuBK1S/YCPMIDtwO1x/GIHwPMP6R2yziDP5NJWhIdj2fHZj0ec3QwqbHa+NvDQkn2Cao/bm808jO1qD4XxpSFGct8C1VHv39Ssxfv4TXi/zAMOw7qznRJq0K5Pqx6jLnffRIAsUOdAz2/a7x8umu5JjbZcfG8jkJQiAPJXgDbAoJBsEIowGq5VLfqeyjAVQn3CqyKNYXTANW+iH3gfcDB10KaQtJ/ZDmD9zM3NToc+/n8YISOAxICe/yVd9M+nMXKzCOLW0CFN/Xx5/MQfg5INNGK1LSOuUQpOIPworLAOdfEj8u5SdTDT3kAcDdrf7D1/6jJY5B8ChbCa7zcO3z8xL99fwsAvT+0gFnB3sOkxrZIpMfAhNx/FvoaOaO7vgEKRRzE1gEF+YbxQm03s8m/f8rFkM6MdESEu3513vSo+KpAY4ktzOlLxYPqe7e11Td2fkxH7I23DkEIWD6pdj9xDDM0eYXBf0VjhRZDIn1m+d/3bDl1v27FlkmXyGaDp76cO8P8eL7VwZRDnkPkA+/De4KvQcgBzcDBAC6+I/z0vPk+dn/5AFA/g76r+/q56LjZe+dACUTMBidElUD6/QW8UH4XwVpEiwWcBR9DBkDFv1A/tME9gzUEIYLYABC9lTwhPD18+v48/zR+EjyAOx97AL0cP77BFMMYwyyCngJyQZ7AxYE3gHEB/EL4xB0EhoSIw04CKL/oPe08fvzMvrbAmkDywJg95/olNv62/bnV/94EFAZCBdhCRH5e+/y7XT72A3uGyoktR5SD3z/EPSq82D+JQg5D+ANyQb3/KDyzOpo6lroeOfx54vuyvxPDUMUThJ2Bof0qeeS5tHzug3iKYM4tTSCGkD12NcO0JzkXwt+MTVFYjgXEDndLrI4pxzDhvPSJTE+uTUwDzTe/LTvsA3QdQgbP2Fa1koqHjnkzr1RvkLiFRlpSFZXikASDaDWlrgCv3rktxQOMkQwURLK4Ca7ybB5y9771SrpOcUsOQbX4PTNjdhG+Mwj5T2OPu4jpfvS2/vUr+m1DpkvtDpWKsIFL94hxbTCk9rkAMkaPSBrDl7zq9xX1h7dGvUWDlYfDiQhGacHHvo39B/6WgPCC5sRvxMOFEYSLQ5FBpH7ke/45/PlK+o1+I4HOQsXBDbyQOHa2KTfR++QCwwhmCnzIXQIJO4E4S3l3f1FG0EvKTJ3IuQH3u7C4dLlwff0CzsZ2hIgABrr5dsr133fp/DgA5gRqA9oAmf3S/EV9m0B2wurEmgT7AwsCCMDgwNZB8kNFBFwD0EH/v48+J/1tPZn96v0IfXk8E3skOzK8Lf6jAMrAoz7svUz9ZD9lAuTFmoc+RfrCGn5K+137+oAUxrxLSIwVxx8/B3cJMv20RXqpAo/JbEkmgqc42vEur8s15n5xyDfNq809hsx92LYlNJO5BIITSocO8M0sBzd/azliNyX5SH8KBPAH9EalQQv627YWs6b0trjzPyyFBUgJhazBJrwp+TT5unzgAc6HHMmZiQWFjwA6vGp7575cQo5FucZVBOKA47zveeu46XpI/WB9wL1ovAB8iD6ewTyBhgJ8APi+2r0t/NP+9IOLSCoKfYgLguZ8jnlWOmG/WkXKio9K5gWmfQj0jTAwcqb6vsKvh98HO4IcOyV1dvNVeEEBUYnSzYyKpEKPOx82s3hKfx+HJM0EjdqIpgA2+CT1RPiYf0NGcgkBxjR+6ressYtxf3YnPxXHscsZR5vBIHohtvr4Pn2TRLGK+UwCSVYCnHvhuNu7JMDChz0KcclAxLp9Eref9TT3J3xhgvrEgsJ8vGM3rjXVeP89WYPviFRI8ASX/mO5GvkafdkE/kpaC6OIG0Hxu+V5DHsTwFWGmQmeB6WAxrjgsuWzbjf3vgbDe4UXxAfADXsFt/x5Kn3VA7KHHwe1Bd+DWcBo/s3+Rv9hwalEBQYPhu0F9wOZgI+8D3jINyN4Y7yHgoLFC8PM/tC5UrUIdRU38j9NiACNfYxRxkz9L/bv9bk5zEJTCmtO1c5Mh/8+6vffdXG43j+lBeQIhcam/+65f/UNc3b12bsmAWlFT0XZghv/aj1KfY7+WYAPwbyD9kUZhaAFCcP1wkJBa3+Nf1k/yIGeQ8rE64PPgNH8RLeVNce3XTqe/tnCZ4Quwvh+z3nx+Ju6xcABxVSITUgARcCBTz2ifBj91kGehiWH9cdSxICAhn20fDX8Zf31PvH+d73RfWC7jvpAOrS8dv6+wEz/0ABsQP9BWkI0AjtBvEIdgnsBxsJxgk+DJcQzw+LDOsHbwO6AiADygGU/x36Oe9u523oY+uV8nT5DgI6A1b+SvDi6IDuSf/zE2AisSNJGAkE9uyo4rPqnwMfJOo6uTgvIqr9BtvTyzDVu/IgF78rcSaPDKDlX8A9scO/++oNGvc5sTaNH+/7TtuCzb3ZkfmkIkQ80DzLJpoENehK343qQQPOHwAsmia0EWv2iOL33J7ihvHe/wgEk/oM7GTkqenk9lEFAQvYDaII6P4f9lX2/f9yEUQdUx4iFbAF3/c29Y37LAoSGW8eDBmCCVX0CuUx4YLkhO9R/mkEDv+p8krmVeeW7S35KQLYDPIR2Q70BF38xvkzAZwLhhRQF+gTQAvZA6L+dAB6CBkQIBSxEI8F4fYp6gbjpeTQ7mj8ewCv+w3zR+6s7cryIPZ5/v0JVBByEKcMOAcmBMIDyAAtAUMEPAtxFLkbexp+EhME/fNN6w7tfPgiCaMRNw5f/GjnQtVcyy/UcuxVDqcioCEbC/zyguJr4ezuFQgKIP4uWSkZFL76k+pN6w/8gBFbInooSx8gCyj1i+fi5f/tsPkAANMBEQCY91Toc93/2+/o2/fCBx4OhRbGE/8K0fin7SLt0vxTEgMloytMJNgPX/kx6NXmU/ofFEwqiytUF0z1cNG5tEmtmMLcCQorpC32G5f5SO4q5FHYr+ykEqQqzC06CsHyPuov6Hfx2wiSJ8VK3jn3Gpv6iOTT3Z3dWuruEKMh1xslBjnjL8pcqsW9vwjBCeYiPx6AG50jAvza3kvnp+7OAYUBFAZYIG8hIBYoCeP+cAlkAuT1GQgoDfMU7Qsu/B0A1vhC6pjlyuGP4JvTSMBAAR8oyw0AHSIFYhyBC7vcoN+Q9t4Ltx5QDw4g/xiJ9yLkl+XQBI0rzC2CLRkjbfof1irAkdd7BwokZC/yIhf1z7nLhAGAAf2CPGlEpldzNbQdetTimh3CWfomKzo8+iv8KVr9PtOD0k71aCdXPj8uJx7/+q/TRMgP3kgQ6zDMK5EY2O7ZvzqVqJCktXU+i2jHQNMyl/227RbB1bR1+vkotjlNKXcLKgls6EHbgPQnFnMzVykgFf8GHe9O4pHmH/+uHZIfehMo/WLjtMv6tLy7xcHxBclj2ixPIFAB0vOo8X/KEOljF2IhxCAOA4MHawM67Tj46QkAJf0klg1jBIP1a+oQ7Kn5+BoTJVAZgAOq4yLLMr1MvO7VqNtiMRZnLBOVBV3iLvKv+IHh9QuKJWgX7ANd5/8BFwxJCHMVIxvZGhAA3Oeh9dn/RwfWEcUV5CBKCiDyL+MU2kjbDdea3ifqjNzZEchU4Qyc9+Tg//N+BtDt6Q6lLTYfFAEM13/mC/2U/pIb5TErOOQZuehp3fnhWeR5AvMbDzkOMeIL4uu/0HDDUsNy03XpkvOJ9AhULD8h+d7uht/f/cftmOU7HF0pkyA+AVD0kQnB+ODx8wFsFrMeGA2PASgKxgM892T8/APXD0kEwfoo92Dw4Ofg36DhI992yEnhdkwLKjEFFgGsAHAS0uVD470NzhH4CsfyWQDaF0oGPQV4DwcYbQ049nHur/rGAEgEfhUSIY0eXweO7dHfktck1zHl5PTQ9/rqEOC+OUEuPesZ8yn2dRdJ/oXokRTUHNUMEPWt8soQvgST+BYFwxUaGSQI6v/AApkDjvc5/BYGfxDKDSIESQCf9mThStaH2iXdRuP507ISE2KRDnj8C/OW+8EGxdvo9LgcKA49B874qA5cH5UCiP8oAM//j/r69r4L/CLsHv4OWAIe9UXulOhl9ncMJg7G/bLuM92FyyK/kb9HOt9ilBieC1XuV/Zi5u/Okw3UMOkkNgo06qf7I/el8RcOsySEKy4Pa/CG7P7r4/GYBwMihzLIHTL94uUo0ybMiti88oYLYwXa7ePUmyA1I/7dePFaAVsmIBgZ8uUKoAuP9ZHnT+poFkwfjRPeErEPcgeI9fPwTwAtC+sGbRB/EAEK2gJk+cf+4PoW7LDnoeSY4Kjaktt033A1ZVugCCLzaNyN7CbzpeepGQE4diQABOndfOuX9ZT3uhJoJgYr/RP79Mbslew788IHPhpYJPgWeP5t62TiGOMK6KX02/6E8vThK8N38mBM+BfuBpcDcwJjCofce+IWE0UZ9xV0Am4HnRKe+f3yK/1dDeISeQkHDIAPfwIw+cr6IgiLClgEuwF8AeP3Muhl46jnSOVM4DzaI9/VPbdGH//i9HznVP5f+zTqhhKOJK0UC/t65WT+tQdcAqkO0RYHGJkIdvSl9w39eQLpCTsNYxFqCUr9Y/cl+bH1RO9Z7ermjde+1u/N1gJAaa45FwiD59zWwemN2BXwPzTvQRUxowBE4QHmFd1s5nIM/C9lPFIlbwFo7/TghN+C7UwRbSjfKM0QufkK6O7ZX9We4/HyKvMa5rnOHxUGT5wVRwGZ7Zf8Vv+01onoGBO+HzceowdUDqsUV/Y55XnolvyvEbwUYR5eKu0ZCf9n48nfVent9s0J+xvDIGwPLvCI1i/CIbvtwDfXO0WNecMzvwrh2aXXvdVDxTv5JTK5Qtk0JAUM9pfpEdRU3tL9riZAOnUoxhPf/Wrh39dm4ggHdScdLuUewgTv3xfGW8CZ19f2kQYGAyD0Ji2PLyzhZtUN4HwPHSeTCi4R4RQd/ODn29i9+kwejhycGYoSHAo8/gnrX+/MA9wLZxCYDrMRchWNBwf2IevW33PcyOGA8LEHrgYC9UXb9g22JmboAN5W7JEhhTk5FcoBzveZ41XXfNYmCQg9mEJlK1YCS+Nl0oHOWu0YIJk/TkHuGZ33xt7D0YPczfUAFKkd9w0O+aLbkslmwl7AMA/XZgk8MxFq5Qvi3vW/4//uexY3J2Ekzv868pAATv5D+UH6uAW7FmcSOQesDMALegOj8evtTf8GDIgMRArhAlv5VOao2BPYreB65cXfJAjrWAE7sv/31rTN0/M99yP6kR1aLSssOAJT3yjrXfZ8+0kCWg3dIDgeVwci/+H/Hv7d9pDwQQEuFbIW/g/A/uLxQ+JO1tHb/uiM9TjysO+9NmA8Hv5N4N7SlQAYGIQFXAnTC38JG/rw5If/1R5SIXURy/Xx7abv3O6fAvchlTa1KFz9899w2d7g0/C3B9oeGSF8Dafpl8VftIKwb8u1O9xzo0mvFxDZd9Ng1fDL1u56H+NDhEEDDxb2BuxX5eznuO+WC2oo0iYJF+gJTwA/9+Tmmel5A5YZQR2oCwL3BeqL3eTYT+Pp7p7z9+aWE0VFfBD578XVvO8YHDcPUgP3BXEBvwJt6IjtMhFkJnsmYA229SHwv+lG5y7/ESJHMvIjgwb586Xr0uEV3kTragG4GC0UGAPu6NLHaq/s3Ncy+DW/KtENgAJECi/rndFe4c3+oSTPIJIUsRYUEFT/dume4RD5TRA2Fl8aBhZ/Dw8C1fAr75X5ff+iAKf4JfQ0+cr5ffJE5sfXRslRBDU2FCBsD7/zowFqEqD2qub159z5ABUcDscSdB76GQMK9eju2F3uFQMkF9kjlCeLHvwA4eEF3NTqbv/sDjwNFQdPAE/t+dhNzSjJtNy0MG9OgShABPjcoe4o/aLxzPlPBr8WaxpN/oH8RwitDlsNoPp/9lsDsASvBaUFugkBGJoQ8AJ8+r7zYfO87CrnFfMcAsgHBP444BjIOuXQIfIgcw0t+aD+oBlXEMn0zOlm7v4A4wXwBDUWZSJkHvsFYOvp5472OwJ4EcoYPBg1E+H+N/S+9YH6tf4j+K7uv/L+8GfxAe6w4nbnzhvDLhoPuu+q2NP2nhdIGGIQiwTF/ET3Vub77S8J3iRsLUAZS/6W8g7s9+84+NoFbRwDJBgYwQR+8B3oreQ44rXuSf+wCIsAhOpeznrmBR/KI3QRDPSH7tEJ5Q0AAnj8wv0DCsYF0Pfg+3kJnxYTFQcHdAGpA+wDPACC+Ln+tAoWD2gNTAdeAf/73e3/4nXiM+yc9ZP0nemf6B4aMTGvFKTxItU/60YPXBQzEVwJ7QNBApnxbO0+APEVWCJZFd36TvKo9dX8XA1dE2IUmBA++6LtoejT7uoC6g8hEBIEoueS0AC96b1j+HBDIVwdPqv98M1OymzUYuxPDdUsFD8xLEYAx95Z1+7q0wR5FXEeJyE1FLMBX+4S7B38SwyfEewH1/hf8PHtzvP1/UoEm/8o6wDKSr4r78skND6lNCgSo/yM7GTXZtA/4PQHZDMYPW0rdg0e7+XeGtrC40ICYSIXOqMyIRF+8WHfct847J/3qQfTFM4WmwyB91jic9NayZTK5O1yJhBHGD2+Fqfttdm91qfdx/ArD6UsYDVkIpMBiOcY3qHlaPkwDxMkLS6VHisCPeb72vvn+P+CE3AbWRJV/3zqM9io2grkcPGF9mX5jA54GYUVYQS48BzzBf7ZBC0Ex/21/ucG5ApjDNEKkAXBAXX92PojA+gLdBPNE7AHYvn672TveftGB8AMeQwAAtL0WOjr3zXejuIj6Zn/ahqZJEsdlQRV8DrrHO+q96D/eQgSEYQSOA2iAjv7dPgs+nL/VgUyDvwS+BFRCbX6Zu8q6y3yCv9qCisQzAwnAjf0EuUK3WvfwOi19JIIchUQFtcOMf/J9XD3ofylAnUFlwQDBNECcgGxAhEDlAT7BWYDSgJmA9sFpAnwCXMERfut8aPun/J8/WgJ/hCbEB8EXfDt3hnYQeHw9o0PmR90HuQLtvJX3uLZsOgjAwccwCjDISMMY/O34P7emez4AmYXeyE2He8Ndfr063HnSO22+gcKrxTzFtYREggC/aTzIu+873T2tgCGC1ASVxLiCm/+8PGA6Yzoy/FpAJoOkRYnFM8JZ/yR78DqHu9E+msHaRE2FQIR/AYj+/fyqe+h8yj7VgPDCb4LtgshCCACw/o482Pu0e5c9XkBFQ59Fu0V9woQ95/k5duu49D4qhGmIpgiIRIg+J7hsdkq5JL7iRQ4IpUexAup9UbmpOVr8v4DLxCGEU0IXv2z9un3nf8UB+cIZgOE+I7vRe9++aMKbBiDGRYNyPdh5Vzd8eRd+jEVrSZxJ28VIfhd3BfRF9s69/cXLy4FMKoaA/k52j7M1dZv9KQXRTDDMegb/vhv2l7O9tkh9wwWUijGJvMTkPlh5Jne0OiL/PcNNxbcEuYHO/xb9gP2H/qe/n8B9wAX/s7+8gL4B5ILDAjl/rfzOuuy7CH4wwpMGj4eTxNj/EvmednJ3Vv0CBBqJ4wsARz0+0bd6cyX0yHvWRMdL4Y15CLo/9jbhccqzRTqnRAtLis2wySEAwHh9c0W0rfqgAscJAssXB8eBhLtv90W4EvwYgQAFDoYfhBRBfX6HPbC9ir6W/1+/mj+Jf8nA7oJVg43DTkEMfcQ7NPp7vHPAoAUsB1JGDsHTvAN4e/fpu56Bosa7CEeGIoC+Oxl4uvnTPkSDAUX4RTsB/P3l+9r8U77Kgf6C2kJOwC19nP0BftkBdcN+w51Bdn41e2M7I72tgdzFjga1RD7/i3tnOSf6nf7/Q5gG5waKQ0B+7XsV+gs71b92wsEFJYSMgsG/+L1jfGV9KP70QI4CToKVQiKA7/9gvrz+Nr6Mf4YAYIEKgXPBCgDPgGu/6H9IvvV+6L9SAAyBBMH9wbmBPH/m/pJ99j3iPwABC4KvwyYCEAA0fci8wn1+/y1B8MP6A90Cbv9+/Jz73H1cgHFDPMSlg/RBIr3fu667zD5twfSEvMUrw2j/27xV+ua7nb83AuiFmEWVAxr+33sJOeJ7SX+txD4G+kawgvC9kTmmuEh7AEBMhalICEc4Al08/3hvN/o7cIE2hl/IfYY0QUn8Ajk3+WJ9CcIoBZaGqUQlwGS9NjtIvE3+kEEqQuHDIgJ0gQ7AHH84fk/+On4/vxFA34KQA4/DS8Fw/p28QvvdvUBAvANERODDyQErveY707wUvllBfEN0A4DCfj+v/cS9ZT4i/93BQkHfAN6///8N/4JAiMEBQRWAKv6jff6+J//OwgkDYULSwJ0923uau98+BIIExTUFskO/v1k7bTkluiM+d0NWR1nHgYRfPt/55jftuYS+oYPmR0VHVkPMvyx6sDkoOod+qgKjxS6FJULh/9q9QXx9PJJ+bT/rQTCBeoFKwX1AwQCLP4F+Rb1CPQW98oAwwpAEQQQPwZH9y/t4+jZ8Mj/pQ49FnQTRwbd9RHq2uiX80cC/BCnFN4P5wLx9SXvP/AD+CYFhQrlDssJegGu+rL1Ovit+ngAkQSWBI8GagRLAtwAIPkv+Jv3qPoU/rYGdwi4C6gEAP1W9DHuYPOb+VsIYxKZE8IMlwDD7UHp6unU9iwLdBdJFpERKPkz6LfgU+G5+xQJ5h2MGusOuvix40/eJ+VV+e8IkyCsFzgV9Pnx5nHgyedJ9IgRzBSbH64PBQBH7CHkXeSA8JEGBxaZHuUPlgW263/mzOAC9s8BGhVWGP0RBQTx9BzjA+wE8P0A7RLtC8oVI/0j/SPrr++R9FT/8Q1dDbEMQPyN+nbqUfec9S8KHwruDlkC3/yB7NnxZPXH/00VqwwjEe/5IO5V5drtd/05Fe8bsCAgCOX1G9aR4ALkWAl2IvUqESNU/2LkxdGC1pzywxQrLHUvRBj4+pDaC9TG3l346hdFIiol7w2y+djoTN8f68X2yAg+Er4U1hBbCd36Y/RI6VXsZPFUA8oQ3B1TFgAN/fJe5OndqubP/3UapSQ1I5wImusg1/7XPO/6Dv4pvil5GUH3O9om02nkJgH9Ik4vhiNSBYLhYtHw1Zb33hcJL98rzxG+7VDWdtPD7HkLyCSRLF8Yq/7D3v/YjuLE/2YWVihhGUEJ8Owp35Xjs/ZIDLcdUxlkC032KecK6i/z7gjoEkMYWgkW+4Hr5elE9d4CwhLHFmIOBv778OLmLuwG/KEN5Be7GVkOafz47Jfivefq9h8NuBxZIwAYagTL6NPZSdys75EIcCGkKhciYgg063PXldVi6RoCLh8SKhQj/A6k9AnhDNuP5TT3NA8nHIYgVBjlBeDyPeJV4K/n7PxcE0ghHyQHFKH6pePL2CDhv/ZLFKYl8idiEyD13t5X1XHndP/FHIYmSh9qBmXsvNrz4OT0Bw8sItchNRCy9pLleeIZ8IEEhRiNHOQUl/4G8E3nAO4E/WwN3hZ7Ec8EofqE8F/07vgsBcMJrgiXA0b7v/nM+xf/RATKBHwCH/wk+0L4j/5cBOYKFQqMBSD73vNb76718v/RC8sU0RFxB5X3duyC5fzuVP1uEhMbHxqGDSf2neas4avsfP8EFosgaB8NC2714OJx3vDrDAHNFYAi4RogCpj0huOG4c3sQwHHFukdAhvYCiHzruSN4jLuGQLdE8YeThlcB8X0K+QN4oLxbAOpGvAeqRWyAtXrHuD84+f0Og0VIZEhJxXO+N7jn9fg4m37RBdkJjIl/Q+N84rbLdfT5AoAbRsnK/MmBw628jncUtWy4YAAURv3KtEmJBS585jdC9RS4ND5jBhtKY4qoRbh+NrdRdVS29D4UhUkJvolAhT4+R3jgtme5LH3CRA3IkcgIQ+b+dvndOGJ6OP9HA/qGFoVPQhu9AnswOWX+LAEvBUCGWoLCvyK6hriXO1j/6gVkB+pHK0Grezn2nzapu06DmMiyS32GeQAJd800WLWvfVhF9wuKy6CGS7yKdgl0ILffP8HI9cqVSQwB9/ok9f424b2AwzhIhQg3ArI8wDlB+T083kHKBczGA4MEPtK7QXo8/SW/jsLiRYgDs4Ee/0H7+Lxw+4Y/eMCjgw1EtQSmQco/T7raOXi5+r0FRJhG1ooMhYA/wjj79Ls21j0dBI/Kj8tuhmc/1jc4dW02E/3JRH2JDAobRRn/UvqoOCi5S/2sQQYFBcUjRL+BIn7x/AX7zjwQfpNASIIuQxfDLgHVwAH97HwTvNU9kwCKQfJD5YI/gda+kT3t/Eq+NH8/QAnCaQIWwfUAv4B0/4D/Pb5n/w7+28CwQWLBnMItAGY/vz5XfhT++792v/uBzsGFgcxB4sAWv+z9834CPay+swE7wkODjAPnQS7+Z/yEOku9AX6PQooFS4WggwxA0zpM+xA6LP1owUHEYoWRQ5jAx/24u4o7Kr1X/yKCYEIiRKsAp4E5fkQ93n2M/mV+Ub/DgQxCdEGMwrBAIz9zvXC9Kjzj/l8BXwJlQ/fDoEEEP/a7/7vXvBm+YgJ3QxoFNQPt//F+c/sFOvO84j8fgqADmMSmQrV/pj3ye2I7ofwf/4TBvsQaBNUD2oFgfcF7hvmNegl+0YG7RlVH5kXuQac6fPgg9Uj6A0FTBgaLhInzBEH9GjXWM9f2Tr0PR6dKxI4DBzlACHYts0yzRvu/w6jL043MCi8CJrjyMxlzF/g0wTYKPw1yjBkEgDwsc54y9LZtPfiHmkvBzI0FsX5atpKzo7ZJfUuDYwpQCZxGR8AJeon3hvjP/NdBP4VBBn8ES8GV/k18ezwufIn/OX8GAjlCdILYg90BrT9+/Uq667t3Pb/BQAUixwtFpwEwfFT4SLh9+/hBjIeayDMGycBSenf3WPeuve/DfkjniN2EaX8cOFF3I7pq/vgG4EiZR25CLbrUOBy38fzPA/MHcUi/Q4f9ovhutum6TwHbxsAI9QdmP2l6TfbYOGs+JEQjSOFH4sOt/dH3xHhqegRAbUS1R2lESwKsfY77djxIvNv/WsG0gR3Df8F4gpqCFf95/qp7JjrGPPzA2gUwCHvHG4L+O8R3NvXD+gSBUMjti4tJmUKPuYG0m/UieYRDUEj8ysmIcf/quf31jHa1/NMB60eax0CFcgCP/Cr6IjrP/Y6AwMMPBE2DmoI7AGf+CbzhPQR9FX7aAekDrQTYQ+vBjvyR+ja5Bbr7/5OEvYZIBljCOju799+3HzpwQK3GwgmqyBlDJrzYeDU4OjuNQoKILUqFCHXCe3zQt+i4UjxSgYiHCIelxQb/yvoXt494Tzy+AWAEHYSbwHB8BbkPeOI8FYGRhTAGq8SQQI19MTwJflwCJcaayBjGE0HN/Tu5wXrNfuqDekZxxnGB6fyruLq3bvnlv62DrAUvw3c9bPi1NeT4CD16A4qIKofURGL/bnqheuY92gNfR/DIq4ayAX39P/tkPDI/3QN5xJTD50ECfoJ9DP3jP7AAjYEqPt67zjpFec79FT7MwMeBT34x+0W6sjpSvvyD/8dESOpGcQG7fR46xzvLf+rEg4iNyIvF8oDO+yi4xfmBvNpCkIblh/UGF0FJewF2qPTo9qx7cwLqBTiE6QLsu2m2VXZEt8+++UagC7yL8UivAgL7qbh6+ec9jsShyUSKQgecgiw7gnfeeC17bMCAxoJIQAadQro8frdsdgq3rLpaAFwDiYCigZc8v3gIurf7Nf5OBJUGcwbkhW2Dd8BI/2EAOwETQiWDpsKsQRXA47+tfv5AKYD7AOTBHoC4vsv+7r6uPpZ+Xb7xfQP6xP24uJS6QP81/A6ANMKPQLLClQL5gaWCUYHwggHCFcJSxB1Dd0KIAuY/JH49fjx9IsAYAkmC7oLqgP3+mX2tfbQ/Ln+wfyA95jkvt/n6/3g8gTYEMgDkwdV9BHfge7q/v0cIjcsOmknfACU36jUzNw3A/AstDjCMq4Px94Hx+3Lz+hJF0A6ADyRH1byncpaurXKifOBD0YueBz66YveorvNxEf5fxylOCFF4CQzAOvhdNrU7F4KPSuHOEokGQ3S6pbTtdnD7PAHnB7GJGkb1AU48x/r4Ob58az9EP+N/ZX5kOix9QvpbOUk/GPsSe/JAogB+w/XJGEjwR+yEVQATvOJ7lb7LA7eF54hdxcHAHTsfuIN4BXwzwxNG3sg2x3MCOnvNOfQ4cjl3vGl+nf0MwCq8ang+PVM7l3zkgdhCngHfxEnEcAT9xYIGUwWSwiR/XL32eyE894DtAzjFfIRCwf59APpBOpZ9FEEdRqRHzgW/AIO6CfQr8t4zZT0nQFSBIcc3gVc7z31r++r9hoSZiA/KpskfRctDLP5F/SH/bb6bv28A9P9e/5CBXoJwg66C6sDCffK6CjqVfdLB5sXMhjZBKTjpL8hwT7E8NyAG08xwC9fJ9QB8tvI1cTm3w0JM6xH/EbbHjLu4tGDwufRNvxxH1M2hDEGEuL3W9yj1XftzAXhG+ImbxhqAB7kKdG60MzSMPHT/xj3OQcBBJj37ACdCxUO1xOBEkUTJg5cCIMR2RGPCfgHg/wn77PrN+2Z/AMJ3BO0G9sSbAFC9wDux+0j94EAJgkUAzf2xOqp1pLeGePX4xD//AnECIgR2xF1DjURgA48E14R4wdpCX4ELf9NA2UGUgjiBjH/BfsI84nwVfuSCRUVMB1vGMAI7PHX3t/ZV97v7LL+3QGCCZ38SOCg4SLlLuxgB6UeICouKY8b0w8zBN33YPzkAWwCwgPJBpYHhweOBP0E4P3O8Xbu5PKM/T8PBB/fIzEV0PZS27vE2sPM2Tj2Nxy/KZwPOPrj3+/IRdco+YchE0HQQtcz2xbT7ybf7uJf8SkGNhVbG34WLwcS/0f74fRl9I/1NPdV//wI3RZbHs8UZAEo46zH0b3Zxi3qQxnzKgkqqxZ+7qbLdcVM3UwNVjfOTipNsihx9dfRn8Zz2YD8qR/gNiAv0RHo8a3butjG6YoETRuxIJQVsAQO8W/oR+lz8nT7xfkv76vrtek46E33Pgx/GGMXLAvX/Lrw2OuA+s0U4yo8M3MoOw4r7i7S2cx44kAF2ycuPCk1yRYP7SDK48Kq1Rn8wyVGPOM1LBTB5mvBArSYw4jmYBMcLGkrAhm6/DThItcO30L19Q+/IJUpSCcGGzMJf/bO6Irk3Oc99VgNZCPtLtEnThA08UXUpMkh2gT9BCX7Ptg7Ixtu6dW85qxewNnvvCDSQ/g/yxiW4jq7a7OiztcAEDNITY9BvhtU7u3Px8y44zgIUScrMSMlSwpk8Evju+VK9rkH6hQXFJsM/gBm+9H4TvqD/Gr8IvjB9Xr0ffljAKsEWQJV/Wbzber36p3zUQIJEKcUdxGkBR35YvJm9vsBKQ9aFWcRxwaj+bjzf/fXAsIOjRQDDfoAj/P+7vP0xwWkFPAZUxAT/CPnpdxI42r3rBFXHjYd/wao6iTVkM9M3wb/whwsLHIl7wrX69DW29ay7OIM/yeqMD4jVAc46p3a19/S9U8RdSSBJBAUKfx96a7kmO5wAUASWBr+EQYEifPt6wLvGPnjBe8JwQfz/NT0MfDW8g/6gwGZBC8DQv7M+ef6zv4pBAYIQAgjA/L+d/y6/hcFxwmTDBAHs/+0+Fb2f/x6BCIOKRD4CsH+5fII7LTwDv1ODIYVTxN5BazyseTO4s3tMQBxE4IYHhPv/p3pK9wy4Bnx3QoQHyMk3BhHAIDn4Nk74VL4Vxh7LH4vERpj+dfb48+T3mX/qiNGOBEzhxPs6UTJw8Tp22UGnS1sQE4xSQqY3NDAacIs33QM8jBTPLso7AAU2WHDUsk35+IOZymnL5oeXwLV54fbE+GC818Jdha8G7EUfApWANn5TPYW8/HzhfaD/6MLWhgSHAMVswEf6wfa1dsf7oULyibQLpci6gGh4DHL287t51ANPSiSL5IfXv8a4rrP8tYn7m8MoCESJjcbLgT87h3kC+dn9QsGkxJrFoQS9wfN/cL28/PE9d341/8UBj4Mlg6bDAgHTfsG8R3r3+yx+NYHNxTgFxoQvf457kbi/eSp71MEuxWXHMYVbgUz8kLkreL+6w//2BEWHkQeNRNyAAXuI+W75mL07gfOGbghcBsYC9D19+P44eTrfv+tE1AfKRvCC+X2Xuca5ADu5/1lDzAWHxBsBA72Bu828J73LQH6BgkEkf7R9m/3Ov0PB3cMFgv1//PzWOqc71v90xGpHroe2Q2y9ILh89sR7IAFqiE8K7giYwbm6enVmtmJ7pwO0iZhLYwdkwAZ45bV29mS8TwPDCEcJHsUKfwZ5vLbpOCv9L8HuRfYGR4R/gLx8pnrVOtP827+dQugEswUgw8WB4v6SfET68Hu7fipCGIXUx/cGSIIsPE84GbZLeZq/jwcrCuNKkIRm/DJ0SDI5Nj5+fYfVDZOMSQUDevSyo3DDtepAGMkwjvIL00SZuk+0RDOduglCXEoli9yI7sDxuzG2eHlevbsEekcGBwkDI33huz861j5WQTGEdcM5wSC9b/wjvCk/LQGaAwOCd79nfDm6YTrffpUBocTeBBvBxv3BelO6nvwTAU8FPUbgxYyA+Hx9+RH6FL5zAusHVQgzhJ/APfreuag67X+QRCgGgUYoQnL+GTs7eoy9vICrQ3yDfYFOfr88ZnxyPg5At4HfQZi/eDz0u489H8AuA0VFFUPzwGu8EvmYejc9wYOeB7gIqMVpv645u7aPOIG+VIVmSnsKSsWdfb32XDPVd0g/M8dODHHKxwPD+rYzhnKoODQBcQnAzUNKB4GxuB5yTHM/uZGDY8sAjXeJJcCZOBFzvjSyuy5DygqlDJjJBEGjecS1BTWV+sJCfYi8yv+IWYJZu762jPZ3ujuADcY3CPUHhEMYPSQ4ujd+eir/L8Qqxz6GSUMHfjM6Nnk7+wf/DMMIBXoEsUIhfqN8JXuYPRY/i0JlQ3tC+0FFv2O9172+fnPAOAF+AclBqQBSf3e+gD87f5iAzMF3wSrASX+TftL+vv8hQBnBLoGyQUWA6j9nPcT9Tj1TvqrAnILtA+rDbAEjPaa64vnQu4j/94RgB1nHbIN0PXu4InX+eBD+NgUkShTKpkYkfp33jbQ7NZS8NUQsym4MPQh+AWs5qvS5dI25mcDGh8MLSsoPRND9uzcl9OH27zyQQ8vJdAr0SBvBn3pOtbU01Xk2QBTHWQsDSlFEi30pdoe0vjdj/hKFXYoCigzFIj4AuCO1xni/vlkE0si/h9WDUb28eQE4sHtrwB/Ed8X2RHXAmP0bu0t8NH6+QWDDMQL3wSc+0D1LvWt+uoC/wgtClsFbf7O99f1wfi3AMgIpAwpC8UCUfd68BfvQ/eXBIIQFRbOEFcDBvQm6bXoLfOFA/ISYRp3FmUIgPaC58PhzegT+f8M2BwGIX4XAwOU607b19nq6KIDjx5ZLUkoexCe7+bTpsvt2m775x8bNhc0lxmH8sPRVsWK1Bf3ih2ZNe00uRsq+DXZws2L2RH1nxPeJ2EokBifAHvqMeAj4+7wDQOlEZwYiBYiDT4AWfRf7IXrrfGi/V8LeRSPFhQPVwFr8rTnKOii8g8DNBJVGe0UdwbL9dvpLujs8cUAuw5wFGEQEwW4+RjzwfO2+SoA8AMaBKAA3v63AFEFAwllBor+r/QP7STwzfvcDDIbuRzyD/v5Y+SL2zHkdPyzF+AoAydTERbzZ9pi1FHkPQJJIAEvRSVgCd/n/9L+1LntZBBpK/gv0RuP9wzYe8uE2/j+UCQrOA4v9At54YHF4Mdt5q0SoDf1P8goIv2/0se9Asva8eUdJzs7Ox0fZ/W60nvGCdXG9dQY2i65LzAdjgDx5SbYytqb6kQCoxcQJegkRBchACDoTti31yzocgSFIT0yVC2GE2nwr9H0xwvYqfoCIuQ4VjXuGG7xKdGTx4/YbPwMH+cxLCz9ERHy2top1vHl3/1hFaAfBxu8C7H4i+y76rDx0/zfBmwMdQtqB5ABEP0f+vv48Pnf/AQAoANxBuwGmwSoAH78r/kn+q/+2gIYBgIG1AK3/UL7B/wkAOQFewiEBqX/K/Zu8sj17wCEDmgW/xIkBfPxoORd5FjytwnyHVojdRd8/grlXdjB3sL2RRPaJawm2hM99wfgddk45bv9NhXkIA0b5wgs9J/n/ei19FgEzQ6RD3EIS/6c+PL3Lf3SAvAE1gGc/Fv5CPvnAfgJ6gyZDKwBxPW38Zr2YwCmDHUSHw+cBdP0Zu0/8Z/7TQgsEJcLCALA9TLucfGj/ZgLIBHVC578He7X5+buYAAeFM4ekBtqCGLwKuJL4UHzBwryIPkmORtG/5PkBdaJ2XLusQpDIugoWBvwAqDrdN584EPv1gXdE/oXIBHMBb/5nPKV7w313vmK/CYCHQaWC/4LtgiC/EzwR+Qf4q3r6QFrFrgiRSD1Dqz0ZeIV4LXuBQoaI8oqmiDqBxHp6NZD2B3r7QOEF7gYsgh278PYL9Bz17LtVwsaFMYhnyI5FDEPcg6dBt0BCveO62rsfu4i9xUKQhf1FokTlgco+9T1Jvt3AhkL+wjW/LLpjttN1pvd/O2jAdkL3Bq/HGf8FPMK9Czzy/0OFIEfKye8Exb5OujA263X5PKrFY04ekdwPIYg7/LPxFe0n8PF5iAR2jI2NvURTNgUokaJcKtnGI0331CReGhKwfmZwouoRMTe64wHoDhEQJMYV/JQ4ULkBvsmERI07j3yIIcE+u7D3tDc1ufX+kYIGgG1/t/98u/T4h/Yzde/Dov8IOS0H/ou4id/JkQcYxEF9cLHsNOl5JjqVARsJTU3fjqLIoMUcwZO5RPeHeos+0QNgRZ3HDsVRPNv3qbY0tef4Urq4fOZ9uwf5woZ4CYN2hgeFkwfzR2cFfX9aNJe2+Ho2u6wBX0hjSjSJnIUmhDRDlj6ZvkUBVX5GfGU9jX9pAWOBaEJsQ5o+EPgktFRwAW2i+mPLfIStzJ/TEkrVgk+7Nvdz+bq1uXp4RBDFcITEBeqD9gKfAAoApIW1Q/9CkwMUgDc6argT+qT/+0L6Bc5II4IlOOBxwyxaa1fxCskKUJDJG1E2C+Z/W7qxOOM9x7+2OW99jv5CuwlAZwjHjxKP8oicAer5Gq+o8lY+TAhvjSPOSgiavIjx/TBr9fD9ysPqhK9+kfE7bEw+7TvMwZRYhdbuDUfBO7RGsmhuQLHmQ3UJlAnsCW3GM4LSgAE//4Udw4v8xvvnevu5836eBgVMAQpgwpl8EvMqbgUwArX8++e87IPQkZEA7Hx5B7KEsENPQpmBKYC99jmyVjwZwAHEyovCzjlKcgJme618UnsmO75CE8ScA+5BdABwwPB/Vb9EQPq95blM9dPyOfLnckI9YZOMSdcGII35g0/7ATlnufj/ubwvO2eCvkIrgOwFyAi6CINFHL+Lf1G6qLdw/arDSMVchzKG2gUkPq+5RbnHOE/3tjnHu6M6AneuuiVLzQarPUUK/4hfgWv/8r62gFR7U/Vu/Hm/cgC5R3ZNDA5vSWIA3bwZtnlxQXjKwx5Kak5TjaIHBLweMQAvRXLmuYjBKkaegyC5SnPRv3e8eHk6C/mRsUzuRgB+Crn3ccMu+TmCBDkI2o3qD4EL9ULHOsP5eLh9N28+UMVESWcJQ4fEBP59uXbYNj22evjl/O6+AX4yejn2LkY+hmR64Ig9Ss6EJQCHvaN/G30/d0I/BsQrAxuDpoT0BPCCJH8FgouEIz8mf3TABX8UPYs+2cO0BZWC60J5/nO36/Nw8aQzIjaeeknP/lVugu9FssBYdrB0Bvacg3nJdoVhSFqGXX5subr50AASw/7E5Ik0yMhBsn5mvO678j2N/weEckYbQybCEb5POX728rKQM4J2sDajSNRUG8MZxTIENbstOFY3FsCPx1KBT8NyxAbAbL6P/2OFKYcFAt3B4wCx+kS7R0BMRdYJiwcGxOZ+zXZVs4H3CzxUAeLDSQBVOh6vw7XgRH08MYW50CyM3Yb7+jb3VLmn9Xu8LQftjAuLlUUIwcQ+wXmiO82DIESQhPYEvoFX/5O9Hf9+BFGDO3/LfLQ3RTUPM0H3tn1EPeXFCdCv/4t2qLxHPNVCf4OkiNEM6wClt2g2Ybfafq1D1MwfUQuKFoFFOsS1b3ZJO1aCGIsci6jJF0Sx/IC287O+s/s5rTym/lA/QTv0/dzKB31KunnCmcLsBOkAyQGchXC98PoVvcLAyUVNxBhFHEZ2ASL9C/8eP9iCD8SDQ9kCg77Ku439xv9AwdKCgMCSvEe0mPAer73yNIE9lbuMOMZ6hSJ9AXixcnO6jwbmhhlEwISZAuMBZDwTP3XEqEQpgc+A0T+6gG/AlMKjxzFE2EEXfJt4w3ihOi4+xkP2Ayp8hzQnrHAy5UVAQe8JfpQYUHCGmHQebdnzGHVPv9BOEhXqFL3EfzhbsopwprZJw23QC1U0TRTB/ngrsNwxvrl7BaRM90rxQpU5NS9haQzs2TSsiT8YxYkBBXuAUvv4OV+2JgA4SJFEloE+vnyAzYLHAGgEr0dZRFp/afsbfGt/7IKWRkwHaQa5wO+7XvjFOEc6zL0mP2C/JXopdZkzIMFoCVP+QcSThbCHdgEGOQ5+PsFAP3w+ND5HxLqEXoDKwxvFiQWLAtW+WL3wfXG7Vv6gA/ZIoAkchJb/8viV8cnwRfTrO9p/zoGngMjMkcR9siH3BLvwx4fICQXzytXFnToB8x+zFkBixqCJYc0Uy8JF+DxktaA4B/1wgFUFgIkESkwF//2Zeau2rTV+9tb41byIfIr7Xv8oDS4B5jrafS1+10V5v0TAjsZiRGJ/p7mYen7DLYKoA/uFRAbbhet/T3uVvnWBYoAiAHzBoQTtAoD/eP4zvWo7gHg99d91g3ZeNpEDwlHPRrfDG/+Qvz9+1fb4uupEK4dmyC2BasHRwxF9n7wZPWnDWAhQRZ/D+sQggPm8M3i/+8wCS0TRBJUC1UAKuyEz1HCGMUw14XrmToTPVEVNQrk7xkAp+ym4oz/BQ8EG78NTPs6EC0M3Qbc/Zf6WwhWCBAE+ghdGRQXvAPh8W/xp/vz+zP85gPkCfP/GuJixrG+nsJ38d9BhTAvKekVXwPn+erP69Kw9+EV3iyTGxoUWRPe+WjtXuRg+DYYlR2HGsoWxQzP/avl5uMo9+4KZhRZC2UC3fav36XME7/ryi/hpC2ZOp0WAg8d+/0NAvc64NjvNP9UEncNQwHiGzgeMRY6/TrqkvOj/HgCQRTTIl0pnhPI7UfgJ+HZ8RcCLQ2dF1kNFesVwLKrALZc92ZIrjXKLoAPHwPt9KvMXNik/cQh8TBbDsgCrwI8+rf8OvZdD4kiWhaQB6T4a/22/uv1tftGCQwVjBAA+Ojt0+Q83SDPUcgt1YX4okoeN3UYl/XJ43L4qeKn7IQLXy2hP0kSpel24OHi5/uOCgonDj3mMKUKgt3gz5/dl/ncGJIxmDhCHNzoMsFOtRDQUO2GAewG/f6rHsL+VtkO3kb990SZQGkbxu3ZzmrT9NSH8a4u31bdXFUjSN5Duma79t0rCgc+JF12TOIQuM1Wr+G3VtvlCFEqwzh0HUfgTqcXjajXZBTALAE+ay+iO60QKdimvELGlv79GxcgTCcnIn4fswP16zfrIfaaCSMGfg76E8YQMg3B/Jr/kv/l8iLql9x55xTtRes+6xTfwRBGIEECPvRK4CoRtiGXGzUMjfiyAvT0Z+AI55P95imcOIQrZRdp/mzqf9gC3FL1tBiXMEowSh3FAkPh68iHwjnU7vPWA6EECfTaEe4LuPMi5Rbn4BzXL/gn3gZU6oHt5Oeg6+L/sRoeO5swfxLi8IfhauUK8DIMYyLkLPggfP506IrbeeHa7zf5MgYpAGXsRc7PxBD8yAudF6gNDRKGKLwZvwCK4WHeX/Zw+mUCSgv0GtUuDiFzEHP41+/u79/v+P2NDM8b0R93EjYHEfUQ6nbfktZF3D3gsuk77U4UPS2tGv0AytnA6xf8mwxAFWEVZSMhFdv0Y96a1A/zrBI7K3M16ysRGRv3zdsv1NzkTAaeHpUooiBfBzTtptLJyZTQT90C5Cv5MR8cGiQQ5fSq+ogTKxYIDMXwru2u9lj42wSeDiUeeyewE2z+8ur87Qf6tA5OHI4jxBuwBd7q0twC3//vVQAHDtkIefVq1O++Xd+a9Q4PExfCHxEy4iT5CNThCdQC5u31PgioE6gbdCUDG4sJ5fd08531rvzsBJoM5hMuFKkLHACC85nrgOaB5ZbpBese6Mvjc/6uCKMIq/x29hcNZxe7GhQJ2fkI/av4Cveh+CX/kBJXGZ8XQw9DB9gC6v8O/3ACTQd+C7oGw/6x92rwafB3743wW++T5hDiDvRQ+0oA1vusAXEVjh3OGn0EpPUJ9Un17ft4//4GKBJiE1EP+wUpAlkE1AWcBpMB7AGxAq0CoQGZ/Rf69/Po7CXon+V55rHtDwG7BkgDfPRI81oAUxAEGzsV/Ax5A7P1we5i8KX+UhSyH5wdgQ1q+SDu/+4j/MoOZR0YIGEUAQBd6jbfXOIA7kH9KAUrAkH6m/Is7TTpQ+nC9QwDGRCzFHMOWAtkCCcFvwBH+ln3+fr0As4MUhTaF+MS5Ah2++LuS+y09ZYImhmtHtEURwBw6STYY9NN2xvxpgmHF0IQkv6I7vfkZuqq9gUG4xa/HH4YmQ1J/xv3cvnQ/w8IgAujC6QJzgfLB8kHYgibB3kFBQAE+IzzKfNv+aYAFwHm+nrw0egP5G7he+yT/AMOQBk1E/UHiP3U9cj0kvnGAm4OLBZ9F60SoQn1/pf3f/VM+X8B/wuUFmccRhf7BJ7vSd7p2NXjOfZXClAV2xFR/eDe98320BLqfg/1KewzxiWRBZ/lMtVo36b/qiPKOG8ycRTa75LYxdql9lQauTN4MlQXRvCK0bDL7eHXBs0j1yUwC6ziSMPgujPRQ/7nJ4Q7KC0/BDDdZ8u91az6wiJlO7Q5Gx65+LnclNfn6jALJSZCL+UiBgsG9MnpgusL9hoDZwnFBTH8M/HQ6i/sXvEq80rz/vQq9ln/GQfqDAgSgA2WA0L6JPUq+50IfBb/HQQZPgl7+CDu1fCj/9ESCCCVHgkPTffO46zd2ecq/JgOUhIvBkXv5Nj2zbPW3/L+EZAoWCfvEcD1t96b3CjvMw1lKmY1yiixC13ra9rP30r63RmcLokuDxrN+oHiwNo15/n+UhJ5F0cJQ/Fj3LLWI+Et9ZYIxw9BCdn7S+9w79/9ExFmIPIemA3Y9/HnROoD/lkXYSodKoAWNPhW4FLbK+0nDGwmAC1/Goj51NcRyN/Q3OsjC3Ac2hWE/Dvga9J+3An5LhdJKRUl5gxd8fvht+gyAyAhLTErKe8Lb+na1greev3BIu46Sza3Fc3pOsi2wpDdsAdxLEg1exyB8BrHYrMAwvXp8hg8ONg4oRz+9JDWb9B35HEGdCb4Mz0r8RDH9BTjCeOl84UKqRq4HhYWRQbn+KjylPQZ+wsAZwBk+8D15fLR9L/7tv5z/BX1vuyO6YfvQP2LDh8boBzdEa3+Tuy15Q7uYAKpGAcnGCZ/FeL9Segy3g3nyvtgFS4nWimEGRH/HuVH1EHYOOqlBKkbgSI/Fbv8K+Hw0cLUwekBB24esiUiGgkD4uw148/prfuhEHEcpxq2Dcz8qfHs8OP7MQncEkQREAnp+oDxuvC8+BUHvRGtEtYJyfoI7O7hF+f/9F4I0BatFnIL6fae5FLcKuQf+CIRjiMuJuEXpv9a6ILeWOU6+ssSriR2JicXyv7z6RfhCOsX/GURvxmEF/wHh/iu7efrlPeFAcYHnAfgABv1E/S39I/8wwEhBfb/2/cQ803zCvwZCt8RpxMoCsf6dvBY6x718QPgE7odARcUC6P2lumr6bfylwQJFW0bOhmACgv2oude4w7nE/ZRCsEZaBtOD277F+Ue2QLZJO70CcsgnSudHy0Gy+eG1DvUY+wyClAq2zLoKJ0Ldes21G/SpeXSBRYiAjGgKjgSZfWc2jvSptlg8r4MMyJjKI4bXQP55nrTF9CP3YL53hWiKOYpfhlW/Dvh5dIN1/nuDg8oKdUy4ygrC2LsPtco09bmYAWKIiYw2ipDEVX3ud101iDgJvcdD4Qe4h/7E9P88+lg3k3d5+iZ978LOhXQGqASEgPn9CjncOPB6jH71w8ZH4YkXhvnCD/wr95z3hnqGAPwHKsrOyjpEkP2vN3F0ivd8vb+EaUlgiSyEerxwNoD1LbbuvTaDvIflh/oEr76Leo/5X7sRv1dDv0X3hUODtwBwPhr9Kr32/2gA2UMvQy3DAALEwXu/af1NPHD8Jv4jgCcCCoOWwfp+TvsT+DS4rTvUQQ3F3ce8BdPBdjxOuaW6E35GA4RHdkewhCG/rPvrOt69kgGUBImFmYQlwGO9zXzj/ZQ/skB2QBo92XtX+eh6jv39QO5CzQItP4T+R/5CwFoC6cR2RJ8DZ0BHPam8dj1NwIyDhARFA7GBZf9oPzLAIQGCAkFBgr9PPIW6fbn1Oyb80v2WfyH+kL5ffeg+CYFWRMjHKwa1wx9/TD1fvBD9Qb/OwhVEBcPgAibAlb/FgTpCscLVAnE/8n2c/Bo7VnyA/fN9rTu7uOf5jPtsPvxCmQbJipHK9QZ0/z14ebYWeZU/7gXkyQbIysS/Pyi6C3lrfJdDRMm6iw7IjAHXOl/0sLI7NHJ6rMBlgxTCEEKif2d8W3og+z/AqUf7y1LKS4Ujvwv6zjfHd4/6sUAKhhjKfsq7CCUEdQALPQi7Dzo9+5S+9wH8A1MCdT5bONqzIq8Hte1/AIiHDiFNWwjxQwH7xHbwdzk8jgV8yd3IecISu8X5ZHwQwQFHf4tuS0BG8z7Ht2e04DfaPf4CUYNEASs7YvXw8YH1177JhZWJCogrxUlDysGk/vH9mn4+P3qARP8w/fb+0kKMx7TIK8ZKQxL/if2s/F28U/9+gduC7gCx+zU25LSDNQm27L4WxtMJRMisQxP+8T23PyTACAKTxBzE0cN8/tI6y3n6/O5C+AgLykKJmAXpgH669Pbr9vh6pv+tgxaDRUCb+y02YTHNdYm9ssPGiPAKEEgtRiJCfHyDejd6Mr1RQVZDfcLLQ2PDzMPLgyvA439NP5mAKkE6QXZBDYBO/w38IHmI+Gv46zrLPHi/A8PhA+1C2MDqPeP/B8InA/5ElIPgwM2/OX02e+19IT/3w7iHM0crBRiB7r5uvI38e/ybPleAI0DagTj/Vr2zuuB5RPeB+UQ9/EG7BZjGrIVeAo+/9nwvu0n8Or+SBJoIpsfaRAl9DjhzN8o7wgNHSnhMQkmOga/4FXMNs4S6B8NKyt/LroYc/Fjyxm6Tczu9Koe7zYvMKkV+vJ93UbaFe7gBhwesiNFGwUGD/JE56Xs6PoFDMgV+RThCzIAi/e39Jj3Nv3OAcMEMgTyAUz8Mfae8F3vSu/O9zj/LQgHDO4Hrf9v9RHyc/WMAcgM6BT9EgwJJPpS8dXuNPguBmQUiRk6E94EQ/eq713zkfynBzAO6Qu1Apv6EPU595/6WwDx/q/6cfR08//1lgCJClEQKQy8ABjy++sY7xD7AA2TGPAZrg1s/JDsiuhd8IsBNhDUGPkTOAlp+rXxFvEL9/D/Hwe6CtoH5ADN+5P56/lE+xT7e/nV97r4l/t8A7UJIQszBs39JvOA7sTyU/8YDNgXrBYcDGP9R+0E6Z7tBP0qDi4ZURvHEbgBLvPX59HnSfJEAH8SWBrSF3gLXvky6OPgzeWF9q0IyBn1HcATuwHK68ncA9477uAEqBsVJBcd2git8Fbfmt7e7OABOhfNIMYbgQrv9fnlqOPG7Wz/DhATGR8Wawmg+nnuhete8qz9SwlCDp0MOQZs/SX3LfbF+uT/fwPSBJ0DTgGH/6n/6AAXAc8Aef/k/Q398f35AF8DqQRDBJMBQv7s+4j7mP0ZAVoCOgOAAST/VP4M/hH/IwAUAQIBvf/S/Zb9Af+jAIkDswQ2A9b/H/tf+Bj4FfsPAWYIugtiCxwFyf1Q9pXyjvQx/EUGiw64EQAN4AL29nPuqOwb9PYB3A/cFxEVRAnJ+JPqMeYN7kL9Pg8NGjIZnAy6+uLrs+b87I77ygq/E+ISwQmi/AnzKPAR9fX8eQYQChgJsQRd/3j7xvo6/G3+1gBLAA4Aj//B/+0A9wLJA5EClv/7+wr5+/iu/BID+giEC7gI2ADH+ELyD/Pp+aEEvA3gELoL/AA39cnvGfJJ+4AG5w2DDgAI0/3w9VL0G/g3ADwHiAiVBs8A6vti+vP87/6WAWwBlv/a/sj9DwBMAmsD0QBu/d/6sfo5/ooDrgemBvUAufmX9XT2pvzBBcELEAwtBpD7/vIs8Ob1XgExDeoSpw52BKr2eu3t7G70pAIeELUWYxMXCM747+yU6DPucPyADFQXrxhVD53/aPBy5lzoX/TxBZYVDRvEFJUE5vLY5gPmtfFZA9ISdxgrEicDgvPu6uztvvm+B1sQOQ/2A5j2Ze9l8X38Zwp8E2UPYAP08qfnCenl9a4KaBtSH84UPv5954zabN2p8O0LUiOXLFEjcAjV6bfS7M7v35X+wSBrNTs1qx2O9wnUCcFDyVnqwhbEOgZGbDKPByTY/LlGup3arwrgNhZJbTpREbbfC78uvMbXaQNcLDU+hDOrEcHqkc4cysDdzv3eHD0rdCW1D9D0LeJe3lvqLv2fDpQW3RLjBuH5qfIS8zf5agDyBLoEUAFW/gj+kAGwBfUGVgNy/Eb1gvI29hj/FwuFEuAQYQcs+lbuM+rC72X8CwupFL0VnA1E/0rxVOnm6qvzhQKbD6sVGxSXCf36ge5C6A7qx/ShA4EQpBfgFNkKG/xb7nDm8ea48JwAPhI5HjUeQxF6+8vkedZr2T/tXA0AKTk0OCgYCF7h0Mbixbzgtgs+Mw9DazOXChvcj76pwJLg0BCbNxtC3Sz+AA/XGcPwzd/x5hkZMkUw/hO/74DWx9Rh62kLByT8JaYRKfMP3D/abu9uDrYldyYQENHurNSR0HTntQ2ALSU2JiK9+jzUwcO90P318CBrO2w3Hhiu7E3KYcM+2d0CdCrpPDwyaxOv6mDUQcqw2H3/jienOUUkuAHe0YjtY/ckAPb4TAOkIpE1pA8W48PHKdrR/rIS3wvoDUgUWhB4+zHhStymAHkhARacA//7BQmiDXHzbuGW8UMMchRZCEfyOfzAEFcLIP6+9NTyhfyX9RbxMACmFJ8bGBE79NXhAN//6En7/xTFJQ0pbxWe8XXQ3Msg4C0HTykQNNwomAkt44PKjMrf5xkUCjJaNJ0fffwG3d3Nn9O19CMYCDArLHAU6fO/3vfXy+Wq/70XCCU0G6MFjvA36HvoPfJ+Ac0P/hSBDpj/R/Zs83z1D/twAfIE0AVzAfX8GwDwAuUE6wAF+yv4YfdU9/r9AApTFccTHwcg9GfoDuU48PoAYhi9JJUdUQZZ6EDZpt648ZwPVyUnJ/YXLf3U5O3Ys+Cm+EgUmyb/IvkPbPel4lDgsOq1ANMVmB4UF00DX+365Qbra/VHB/0WMRgSEL3/Qe2G5abpffq4DFsYDBnyD978ouuj5HDrp/lEDWEc/yDbEkj50OTn3qvnTv6JESsgmCT3E7z4ut8D3RrsOAPUGV4hwBc2BTLyaeIp6F76iQ2fF9kSuQPp9R7sLfCE/bkLQBR8DBr7l+1P6lzypwbZEboYphKLAUnm4t1V5h0A2RQPIGsdMgep7mXfpN0M8XMOKh7gI8oTI/m84wrduupYA1QTpx43GrEFre6L5GTok/+rDqcSihOeBKn1A+7B6qb8QA8CEXUQ1QWT817xXe4x+D4R6hB5EA8HSvo58djyCPMi/xELjw05DSIAM/aN/Vf7WvlO+p4AewNZBagHGQCiAy3/svxA+8D70/mz++sEDwknEAkG6fsA+ez51/cl+Bf5/wb1EMMHZgaK/sb6vfxm9gTu2/9HBnMP2g5XBhf/jfpv8H3ydfKKAGwPahCeFKMGAf6q95jv2OoN/F8H3g+SEgoI5v9U9vXxcPUG/+oJixE/CUgDUvSa8qH4Uv5jDZkOjQ7wASTwnOj77if5ZBbGFkgY1gR/6k/gE+HL8+ISOx+xI10T/PRc4H7VVuciA/gcyCLhHJoG//J+3y7gTvRdDtkeUhgXB2P1Aey08p/3wAYjEkkRvwpP+LTo/vGG9lMGihRpDvYMK/oN5DDnufJPAKwWCBUfEW0EM+z84h7m4vAoBTcVeBqCGHkGXfiW6f3q3fV+BegNjxSuEMYLqQGV+VT2cPbN+bv+GQeiCj4Mugek+/vxqu6g7Ar0q/Qx/awJpgnjBp72ROl96MDsBfsVCqERjxOsEv0ChfzD8gTznACgCnwYoBsCEpkKZvp08272Rv1XB9IRxQ4ACpj+Te9d5BHmiu7OAAoLNAvIATrxMOJT3B/e7e0qBa0a1yNzHW4GmfTc5kHm8vZPBTQbjytKKq4cHATN5PraAN+09ncXDCyPMYAhuvtl1qfAA8eW58IM1yaBLOYW8u4eyeyya7ha6b4bZz+lRUUj8QNO5+DZAdwh7tIIICrVM10qixEG+Jbt7+r77wH+6wt3F1gZWgsW+4XsOufi693xgfRz+rT4w/aT8xHrCeXv51z9cg9HFJsJiASqB3YRCBHUBD33GfSs+H8B9QcuErIdoSO2GYwBfej/3DHnSfz5EHkY9RRqCOv1kN+C0ITRNOfi/vMLcwTO9ar44/4xBeIJfgwPEGcVMgeP+xfvwvABAZYTEB3iHvgUQwvg/tXzdvAF9DD/cAyvDpoJTv4Y8Sntdehy6ZLtsPCI77TtQ+Ko6zAMoRtTJUUYsgXc+lT41u+S8dz0KwaUHP8jCx81EKT9WfjY+mD/SwjvCtMMHwkS/lH14fLm9cX8Zf+f+5fx0OMP2yHbNuBu8owZujH/LWsVnfM+5e3scftABfwHVQfQCUAMgwvjCDsIoAtNEZgRBwwKADnysu2H8cb8lgxzGBAbBQ998/PWSMSPwwfX1vFbBtAU+C81MrMXi/GzzfnQrPUQG48wBiODCSX0depB8oL+4QyWHegkASMnE+L7FuuE5cPqs/lJBl4T6x2eG/kMDfEp1AHDIsDfz83oVv0eJClLFkVZJRXrbr5MwsfiuQ1tLFEoOR97ChD9tPZk8Mv1XgToEVofkRpZDtABPfh89bL0Q/Pc9u/+UQrxEtIMZf3+49rJ57omu5jOexStWHBvFFy+CnXF76L7rQbi1xVeO1pMlTrVHg/zb9EQyqbghg01NTRBzS9NCnLn5NVf2P/tuQehHP8hyhNj+k/fJc3FyM3O+dgh6gkdNEJdTGc5Vf8m2lDKrtW08Y0EURJaHMsgmyRKFtkCI+yx5H7xKQVFGVceIRffCtb9HvYS8wf02PmhAM4ENwHV+WLuduNS2JbRac2O9cImvkEDT1cmQgPa4GbUJNiy4e/wqAe6IN488T6ELRcBLNimx8zR3vdlHUw3pzuuJZ0EmuDkymjOt+T6BwQjiyebFDjs1MHhppqmaNUqK65djnZgSPwDyMgZr869KuK3B2QkljDSMe8ihQyS8bXhHufO+BkVFSHCG+oJsvV57+v1ZgTyEFgQcAWy8SnfVNoz3ZjoQ/NB9aTvuAUxEtodtSC2CmYGBQHaAzz/OO6E22PXOewzFwNBtlCdOO8JQdaBvtDH3OqoGMs2+D+TLRYIOuO1yW/L3eLKAY8Z0RswCOXje8KMsIXDnAMINyFee09jHQTwSswiz3vgE/VCA2cKtRHWHdEnuSRVFbT7VuXo323nxvrTFLAjHyh5HdcDH+6w3BDe6+seAH8QcBFLAXrjdcVqtBfABvtFMZFe+Fq/LTX5o8jGvhHMNejHBv8ZlyYlKXkkzBQKAHjs0t816A35rBH2IlghVxWY/HbrmeN66gr8TgyGFswQY/0Z4tzHr7nRvbHYBxIkRCZeLlB5FhDecLeAvkLmMhZwMrcu5w/77ZDc8+ayBq8nJzdQLhsPgOr30b7MsOPuBfwoEzrgL9kRI+m4yzbE3dME8LsGwwoM+5Le/tfV65ULvzKDOeYr0Qh56LraaN9z8icG5g3SDK4EQwFaBfwP2hk0HcUU1AS38Z3ggt0H6JQA3R5KMuoyDRoK8rzLGrjHwnrkGghlHNYRePbB47vcC/JQEy0v0Ty3LQoQRunIzonIFdit94gaMjGXNO0jnQhp77vmDO2CAEMS3Rc3D2/7Ne1u6ZT1IgmxF7sZFwht7ZzUysilzvLduu/OBS4Xeh1vIIMStAj4/RP9lQGtBh8HHwAf9EbrWekd9fAIiSBlLaYtMBwVAfvnKNoP4bLzygx9H1MjoBdWARTsAN8z3u3qJPtyBl4CLfEm2MPREN2w+00ktjnoP5AoowiV6aDZ39yd7dsBlQ9aEcwLpgK3/yACyApMEvMTaBFFBYf5tO8S7l72vwAEC5QOSQlF/OPt0eZj53rut/JR8abobeoE7zYCxxYhJYArISCYDwH8Fu/A61nxKftlBKkIYAf7AicBUgI0CXAQRBY5FYsNUQHZ9O7tre9p+EoFdQwfDa0D2/XS6s/kRebX6ubtnu1C8+D4UgOhD6ATghjeElEOhwnWBNgCV/74+E/zBe/R8bz56AgtFuIf4x6FEuEBR/Bz6qXwhAEbFKIdpRmgBbbqXNbvz+/fNvriFXYfNxHf7s/QrsHkzsv3byI4SIFN3DgaENDkRsptyc/f9gP0IWcwSibTDlfxud8S3/nwuwzQJCQw/Cd4ECj049yE1sLe6PNsCtoW1RWkB0zy0N6e0gbQJNy39dgKkSG2JAsgQBK5AjX7P/hZ/XYDpQXNBkoCrP7z+2/6oPynACYIpA7oE+ATQxCfCI/+zPb483r2cf19AlIDDf//9hvwAu2N7kvyPPMF72zvVvKI+QkHARBAGxQcsxkNEbsCovaT7ZHszPS1/5kN7REuDxMEU/iI9RT6IQhKFQ4e8RmUCp725eb24ULr8fpADNMTiwyL/CDo8Nju1jje8e1KBXEUlhrlFb0Gof0z+ygELxLYGKMUQQNR72TjNOTp9XwL/xwRIQ8X7AeX+d30JvvvBI0NAQ7+Bez68fLh8dj2yv2HAdH9FfRF6qPik+Ma6Nnz7AWsDDkT5QuRBTEHEAyKFkMXQgqW9Wvez9h25TMBpiB4L18rkxST+QToLuf09K0ImBjhG3YRgv+37ofoBe7q+boFLQnPAx/3eehk3RfZ3N339F4K6hv/JIcb4hUqCqwFkgEq99TuO+i46rn79g0iHNsfrBU4B1P7O/d6/ZYFCQsnCUgChfrl9rD48/65A4EEg/9I9vrtN+lS6JXqjexl60n2tAIqC1UZYBg9HTsb9hMaBQ3vtdky1wHieQIoIHIxLy/3GBT//+xt6GHyNwJ0D8QW7hESBm35Xu8Z8Tj6XQNrCJwDQvgb7crjfuIK4SPlffP2CG0T5h7FGQkVJxTNDqQGGPft4TPYyt8H964YIy2iMl8hewah7RLjAOYE+lcPcB7NHQcOivWU5XzjufM1CTgVZxEc/xbn5NSA0R3bzexCAwcdfSKNGxwMLvqc/PcGOxNLEhAEOuxI4bXiHfYwEMMk+ixfKK0UC/0A5pTdHOWm+6ITeyGgHpkNoPjU5nbhrud+9QgD9wkFBhL02twhzDvP9fJ6GGE0Ejv0JV0NCvSS5G3e7ua/92UNBRtcGlsM1fuR84T6YAoWGa0ZJQ/e/Qbu3ump7mz91Q2VGOUXywmH9EPh7tpF42zxTfwi/ib1x+zA90YE7QyRFoEUWheaF0sOhvvA6Y7eROTQ9rcJbhomH04fIBdyCGz36Oka5q7xcwfWHJEfNBTS/XTrAONk6Jf0kgZ0ERYQ3/3E4oDKiMLa0Yf8Ty+nPaI5tRd+9H7lqORs70wCzxDFFikS3AAw7+3o0vSXDrMmZytzHssA4+YG3RXmGfkUEaYfTSHKFEn8ceT22AveSvCDA/UKsgIn8QXcENse8RwHjxoFJ8AmVB+CDnn0rduC1s/itv5+GQgmbiMDE/3/QfCK6jzzPQPcFtsguBosBv/tu96x4Tn1RQxXHPMc+g1j8zPbYs6W0Fzj8fZkCMQahyDLD9sDAf1ZAo4L4g+LA3L1Ru5U8ir+9wx0FZIUWw05ALH0bfMsAHUQER/jG6AMQe9M2HnVR+ntC+MqLTUQIfb7VM+/sRuzE9Ot/z4iCTOIM9wRweSlz+/W5fvGJ1xBGjNsEcjnmsiqwYTZIgJ+LWFGuECUHVPyE9QQzYfjvQVyIEgquyCnB7zssN2O3sjuvQT4EywTsQKx6LbSzcpK1E31Eh2iMRUsBx6sBtH1dOmN6XfxpQMjEwQY6g2t/WPx/u7o92wFZxSDHCkcJQ/L/CHvVuQ45rL1KQlcFwIboRAS/C/oV9683PblEva1/g/9mfar95D9ff7nAvcP0ht2H5kUVQHX7Wvote1y+hkFCA3UESYPwQjeAG/+vwEmCOUMjQtsBMX7v/SF8V/12/0UCJkL0gdB/tTxt+ej4sDjnezA8lP7RAjeDyUI9/0mAJEIaxIBFBIQNwWe+0bxZepL69L3WgvWGCodnhUJCcX8v/XK9SX8uwNqB70GjwEo+5L4IfqO/Sj/x/x69bvu6ull6q/wZPQc/jYH+QaC+4n3YwOrFgclICOpFB/9HerV3C/e2+9UCzIlpytxH/4HdfHC5mTsrf2ZEUIcdxf6BfDvveE84xDxGASoETMSbQOb74HdiddX32XwkQdDFYUR8AIl+GX+wQv7GHgcXBV9Be7wE+Lw4DryfAxRIk4mkBnhA8rw3OnI8mAFIRYYHSgUdP+v6OPfZOaM+HALBxXtEGr+k+gw2YjXp+Re+u4Qsxg7EEL+GPQd+CEGgRixIZUeqAxA86jfRdt964AHeSFrK1Qiqgtc887kruVU97sNFh79HcoMS/aL4hrcT+Wy9zgK1ROiDiP9IejF2mfZCOfcAWQVvxcBEN8KnwPx/bkChg6QFQ8SIwQb823pBO30/WkSRiOFJm8Y6fx05CLdp+qSBNEeKyz9IWYDH95KxkbI4OH8Bzgn3i70GRDxz8uauerJX/NFHd42zjqQKCQC3uAE2AToAwYhHloofh5NCFfxdeQ96tb9BxT/HDIYHAu4+bDulO6c+IgEQwojBsn63e5p6nXu8vbqAN0FKAK2+MTu2u/69eT9yAcwEOsRDw5WByMCFwRxBRgGGQO1/+L+A//PAm4J+A5zDc0Eu/oq88jwKfcCBDQQoRSGDDf80Olh3hDflu2sAhMVghtVD/L5pePL19Dbju/4DN8fbShrHUIEpusg4qboWfocE4IjiCPeE/r/cO1U5cfsmvyIDScX2RbRDgj+4/cU8jLtdvZW/bf/twaRC2ALgQJ6+lXzPexH6Mz0vwL/DF4VAxEIAQrxUeic693ypwRAFt0ZRxCUBZj5S+918PT8CgV5B9oMqQhyAYwAugHE/qv+mvxS+zT5hfs+BR8KwQkPCHoBoPiy8hP0BvxjAzoK8wvEBwcB6flp9tz1JPl2/fcDpQYWCPkHZgWAAMz7V/hL92/5wP7QBZ4M0Q5ECgsCE/jY8ULx8/dvAhUNdBFODjQF3/jS8K3vafUMAKYK1Q/2DXkHpf2d9VfyhPTX+vMCfQryDMcLHQXf/Eb2BvJM9YH8UwavDaIPZwrq/3L1K/Bh80793AkRERgQKwdc+THwvu6X9soEJBHiFIEOdP9+8bvrR/Dq/vYN0RXEEuEEyfSD6kzsRvm6CukXtBf1Cl74mene59XzSAfeFl4a2g+4+4/qGuYf7zQCGxVaGxETgQC57Jrjm+oB+y4OfBlpFyEKnfh47FPqdfMmAPEKRg+HCwYE2f16+vH5tPoa+/D6Q/0MAaQI3w4/EKsJo/xe7j3m2eq2+TwPvx//IKQTB/qX4j/Y3d9c93oUvSbNJykWX/l04LTWVODZ+KoTgyPXIQcPyvVn493ey+qoABoUlRsbFVQD4u/N5zvqmfrsCxUWhhO4BbT0b+k16yT3dQnWFVQX0Avw+O/p5OOh7h3+3xHRGtMWJQq99kPq8OZG79//rw7oFs8URwnE+vnwrurz8YP7zAYQEfgNCg+R/lX5YvJQ7nH6WfwQDjQMTA71A0v4f/Lx7dX43QEfD+YOJQst+irvOeqM8KQCfBIeGh0SxQDS6CffPuL9+bcTeCbDJt0Oc/Ar1prQ5eMiB/wn7jSUJgQFcOWo0yHId/igEA0yADUBF5P3O9IL0N7f1f4lIPMvuyEPCuTlUtk23LLzlBDjJCkj5RGE98/dNuCm5jUDkBe+IYsYiAZz7VDl0+Gk9PQEmBbjGPYTewCB9lrpMuwV9LwAQAjDFKkJKAsN/rb7Ce+58xzxaP9qBpAQLRGsCCkBTPNi6pHvoPHsBeUN8hafEhwPxPRN8ozknO9b+wMGKBbOD2wNxQIO9QfwPPBp8XYAzAOkEzMSAQ/eAVP1/+ZZ5tPugwEmFZ4kOh36DGbtltjk1BLnsQTrI9AssCEJBG3ef8u90g7sCBmhMSgzyh4Z98/R68z40i3+thoPLWwurgoM9gfaNd2+56UFkgzJIzYKJxGq9R72zvUE9jn2BAEF9s4IqwiNDycVlAVE9rPus9o58JX+TxbLKs8drQyu7nfSitOz7FkD6S9tKzkmNf5A3nDJHdWs8dEawy/lMssWK+5W1VDIceNqAQssfzIuK60EMeQUzZnSIuzNE7opwi9CH5L4VuBL0DTe7/QVFx8jFCtfEEH+bOXr3czhgfd2BjEdkhsQFowKLvIw5uXjTuZv/JcLPx6rJB0TtgGf6urX6N6a760NbSF1KU0eLwRb5N7YUdjx8NEE9iKJJZMd/gLA8VPdDONs7EwDVxPcGvMV4A2d9/Xvv+qj7pX8MgM8ET0RGAjkBLT33PH58xL0mgC/COAIkA8GB/v+oPr98pL3yP7MBUoOwgldBPr5gPF88av9kATyFNcU+AqP+Y3ocuAC7FcABxkCKL4hFwqq7hvTUtbG570HzCnvMY0lEwTw4MrNOc5/6rERjihiMj8gCAE74rDUo9pd8tIJjBwCI5oTfQN99IPr3ukf9JT7DQWRCpMN7g5kCz8AmfuD8Ejrh/CY+mINExruG0QUPf6g6NLcM+Fi9d8OfSTvKbAXAv2o5J3YHOBE+JgUqSWjIv4PbvWR4MjdHustBRYawR55FiMAKOp74+HoZP2bEiYY1RW5AdHtgOWh69b73hEJGdgWLAQw7qDkHucm+JIPuxuLG5cK8POO5pXkXfN8CFkYvRqJDcr5v+xs547ypQSXErwV3goH/NbxAe0h+PkFLg3gDscD2vfO8I7ylvx0CigPdwv4/rDvV+ws8qMCyxTyGZ8Saf+A6WniIOvaAAkbTCiqIEQG8eZf03bVy+4eFdAxvTVDHoD1sM4wvqvMGPZxIlo7fzdBFlLkKcHIujbVPAPBLm9BMzPEC2vgo8lBznrvvRhlNSw36h6v++rfsNi/6nYJ1yIsJ/AWwvqv4APZweeYAWIVIxvrC4bt29Vrz/fcqvxkGJgj0hxIBh3tyuQa7iQG8x/4LO4mMhHV9bnk++P58RYJNRlIG8APVf7e7l/rkfWnA8AQeg1aAjjx3N9K3HLjYfCrBasKIP+4+fDxnfAhAOgTtySiJ7MZoQko9Zznne0u+6wI1BJAEEUI8/3G9Af69gKBCRsRbBIJDLEFcv39+Ijy1+rl5NbgEuEF50wEswqJAzAIBvtX7BbzUQXJIBczKjJAIt/+iNc1yFfU7PBMFlMvri+SFF/uKtSB09zqbxhMPIRGADF6BPjX8rzVvb3dkgLdGBUZDfsX73PVf8AS7ucOLSUlN38y6Rh9AK/oPfAz/IADxhA2EAz8Nu/Q5UjqzPfYBnIY/x/bFhkNfwiP/678YAD+BIAAV/lD89zsVeX+4IffMOurAOjoGwNrEt0N+hLzGhsVVhBzAMD/CQKx+bX9jwX2/pr2+vIx7Q/xtPQUBLkVZx29HBEdrw9uAi7v9O9D8wX3UwNmDKAFZPUd3zjJn9CV6ajouRwFN7MuJyJEDvLw0eiD53ABOB00IosfsBDy6wPTPc2i2Nf30BBIKys1NCTUC7f4g+jV40r0jgGREk4aEBIGBhjvwNiG0ErKpto9CXAHahs5MzIbFwfk++TtYPO+/RwTrivqIwESZvsO2CrCy8gx3cAE2Bw7MM0qXArq8nfjcue2/G8aPS69MdkYe/z65DvXo96T9EkJ5BVxESQBY+8q4J3hUPLG/woIYA5pC9AAU/5EBCAL7A6/DfcGlP5h9Yf3QAASChUN+wma/83yJe01800C2RRcHpgZ3QfK7v3b49M53SvqCgc7GHMGAADA+ODowe+mBO8YSilEJpcZXQll79fg5Ofn72H8bAhjDGUJ+/5W+MX6P/99CKsUrxo7F0UQwAd2+4vxX+6Y7xjzvvXF9yHz1uvm5H8DseaS8P4ZzBCZGJUfIRcxDJv7Qu/c/4/4lf2/COUJa/eU9F7vAfSA9kUGTxM0EvYGnQE9+sfx6/JoAV4I+QUmCtYF5vfa+vX6fwL2BSAEYQJi/Ebww/CV+IsCHQpqD0UNJw4yA+P6s/tB+Pj1+PthADkCQAbXBFIBpPoZ9WD5/v77BGwQtRKBCoL9he0g5Objsu4tB78TSBxcFaUGEv7P8ib0jgEwB2AICwWv+WHxw+8U9/kBcQinB0cBuvRU7sP07ACeD98aHxT+BZ/veOTf4/H5ihRiKG0sxhw0/cPhBdMS2+PyaQ8qIakiJRCi97/kJtgn4M/xF//4DyYWXxLJDkELzwNJ+EH4EPaw+t8Ebg8HFekQlP457hncTNj+5poEZR74LykwRhod+V7brdEM2ojyiBPVJg8mFBGa79PW2skV1zT4JxgFLp4sJBYV9sjaStOJ4/AE3iRyN50zoxjt9BbZdc+p3sH9pRlkKGgjHAkr7nnaRtnO8HkE7RyXJjIYJgO463HbQttz6CX64Q7JE0IT5Q//Bcj+nf1N/Ez8IPly+kEAWQM5B1oKxQL58wDpuuQY74cJZR+lM2c1rBlu9tLUUMY91Tr3sSGdO2wv0A1A2tOvMKgYxQsBqjoLTWBCPCBV4/y/WcPH54QcOT/kSk810PsNzn+8I8d48s4ebj7CPo4XHfI51unM6eStCPIj6SnrEpL2Gtsfz0nhPPy4FS8gmBMd+/fko9kt6LAC4BdNI+wZKgK/6TbefedwAsIX8Cg7J18PzflO5tLk0vMaB58Zhh/gEl0EFvLr6M/qjfQKA0EE7wHn8fPjRNTi9ET6WO/tIqMZ6RYDDkcFRwJx+0zuhQWNAqb/1QLoADf/C/5BBHMQ0BjBEnEWYwZx9kntB/Dy+xIKehHCFCACqOnr1dXPCdXP6qD5rzCRHdXy8APC3hvjI/T6FHM2HTS/Ex4MxN86zRPWi/KOE2EoBifcKJIKZPLu74n22P5LCzsVOxNKBKj0lPVQ8mbvc/nf+DXzj+ZO3Cbf6wc5+XIEeCSLE6MOIP5N+7b/+/Vt+3wWUQ4dD9MEBfpl8C/oCO+qDhIaxCmkLX4dPwPE3W3V69+D7M8MlSkmKAMVqO3RziO8krnV1Hf7NDxbI4saGBS46UrhIOXmApwnBSTlH6YY6e0X3WjZKe2zCukbeie7K8MM/fsk8Vv1Lf16B5MSiBOJ/jL1CO/p7F3xCfkK/fD3JOW82ZzhRgPz8C8PiCHsFc8Lrfvy/W0EP/raCJES7QX6/hvzwPjB/3oDQxRFH/UPCQkF/7D21PqY/FYL8w/NAiz9TvJQ5+jsp/AL/Ur8uvBs52jkbvfE44EDAhroIfMf+RQ8C5QAQOcV7xH6lQJODToRhBbcEH8BaP3t+8T1BQT4CkMYAB14EvUHevMS3q/da+Qn+IQNKBPjEvv1WNcpwBrLFOto84coWjcmNggbG/kq6+TkN+AjAUoUxCAmGwwKOwHW8k/sbfsLCs4T6R3iGC4RkAEh8Xzv8u1o9UIDqArsC5sDvO7o4AfRJdDR3O4EphvlEdUeFggV+ofryvERDXsdUBzqIPQHZ/MA3qTdOfZhDG4gRS6xIwUP1vcn6Sjv2/OMAnwPSw59B9L8ofS7857uAuxN6u/entzN29wBUQ4LEaIkchGjBJLosePs+igMCh0jMZAkzg4Y5njPd9Zy68cNqjXgQGY4DRTV6NnUscuB4QoEvyDiL7wiZQUy6RPNW8hY1ZflLP2iAAkY9AXR9+QA2PmjB0kDPQV7DtoGiwS/DjQODBTbAuP1Te+16IHyfAq+HSAuxSSmDkL3Bdz0183kDP6SGdsimxkqA/fjPdDky53Y8vA0BHofKhNPBCz6musm8yz4HQxkHGccHRT5B5b5d/dh9Ov7KwkTDqUPsQqOAuH+m/1Z/9AFkAcwBtUBAPux+Tz7Vf0IAq8BPf269uPt2uti7Er26P1p/n/+//fs9+T4MwEYCssNLQ2uA0X87/pv/j0JnBOzFhYSPQNM9G7tXvKyAugU+x5THV8MJ/cc52vixO6B/8kQSxfjDZr6reNT1PvW3OU++YkLmhWQEI4FefhJ8DfxrPliBekSMhrNGN0TOAnt/8z6vfeB+zUCtQpsE9IVyBE9CCv68e0n6l3sifm0B10SWBMTB+nwgtkiywDQvuVYATkbkSXZGDYAVOX91YzeiPjWGFE08Dc7JMYDseee3WLpmwObH8crCiQxDcvyfOQs6WP7dRBfG0IU3P/E6Fzcs+Hp84MHwQ5CBvPykt3D0bjb1/SjEGMlJyXBE3r8n+aN4zzzdQlqIboqsCMtEsX6w+vm6vfz1QWAFDAa8BU9Ck38tfII70jxCPd8/EEAngCA/Xf2G+9Y6Wforepx77H5QAKxB+EKrgbLAhsA+f70BYENvBBMEeIL3ARdAegA4QU2DRkPqA1ABLX5hPWW9iEAHAyCEvMOnQGb72fj0t/S6RX57gOaByoAf+8T4qLg7erg/gcTexpXF2II5/cb9NT42Qb3F4QdYRgwCqD3iO+s80QClRMjHHkWlgfo8ynn+egz9xwKLReBFVQGjvDu3PLUOtwP7z8FqxFgEaAGMfTg5VPj2OtZ/0YVuCOoKQUg3wu798Tn4ebc9GgKgyBpK0ImSROl9wnhfdpP4zL8vhVOJoUlzRLg9m3dyc8e0xjjrPirCmkTvwybAL/xM+W6457qoPctCUEYgSEmJbMbXAqa9iLmvOKs7ssGxiJ+NI4x2huK9yHXWsl317v57yGGOiI4MhqB7N3GAblAySzt9BIdKo8mfQmG5kfN+MnK4NQC+CCoMBEpQBIc+5vpzuia94UK7xvzIeEZdAxk+9TuE+9Y9mcEYhIgGCQU8QYM9YrnvOK163z9Ew6cEyMJMvJc22bOgdND7BYLGSIaKK0Wm/nC4i3Z1ugJCUQnVDhDMEwU6vM03ZHbD/CaDR8m6y7lIcMH/Oz03THhOvNjCZ0Z5BqRDdP4lOWc2wveT+lf+ckEOQgEBGv77vLB8FbzKfwMCOEPRxVyFTgNlQQe/Jz4n/ybBG4OZRayFJEMK//r8VDtovIfASURcRmqFK8DUu0u30reP+uDANEPFxGxBLjs5Ni61Xji6P6CGnwnCiJIDKXx0+Mb6Nr7zReJKUYqtRha/gvqPOTV7w4G0hm5IQAZcgW/8a/n5+vJ+WIJMRGtDJX9cO4W5ezls+/S++kB2f4O+Ofut+019eYDOxIFGHoR7gTv9vrvGfYFBkcXRSJnHq4OzPna6AHlPPHmBaAZWyKzG/kJ5fLa4uffPeuy/QsPqhbTENf/ROuq3f3ZC+L48yAFphGTFqAQNwQk+X/wjfH1+4gIqRUqHLUYQg6V//Pzh/D+9kICtA4yFEIQVAU++DfyQ/Qo/Z0H1Ay4B8b84e/W6Njr6faNA9cJOQT79avoIuHN5xT7bxBJHmkdMw2I+LHqyumA+NkN9x5TIt8W8gJ18THrRvFkAIwOqBQCEKoEhPkB9tz46ADKBbQELP6o9u7yxvXK/pgFbgZv/kPwVObV5EDwMAOhFKUaqRO1AXPuv+RV6g399hQRJAYkAhQH/Ovm8t9M6ZT/WxZYI5sfZw6H9zTmMfFp4+YDZRABGQwYmgUn9hLle+Yo8XEXCwnfGE4KBfE97SHcefBn//YGJRITDzH8xfrx9A0DqhOZG8IZhw8L8xzkr+D364ILOh8FLIgiXQVO7J7eBeG//mccIi5vLv0OqOmCygW8+c2a7sEN4R4HEysLXeqows7VkvGmEnIzNj5DNEUTYuPrz2fTXeCz/6Md0yhkI6UP8/vf9ezvNvv8DKYVVBbIEmwIlv518W/qCuma5oHp3O7y8Wb1PPDJEc76Dd8w/6b8FgMZF0UllyrXHrH2ZO014IrUGevWDJ0fdy2JHoMREP2d4cXs2QLSEh4lRCfMEkr0wtLsyGPVgepYBeMUCw2e58XoMtwXtSL5qSKlNKtBYjepClfnor42zIjyggt4J+o4ih1i+J3dQtov79gHtyr0P6IwQQ4K8hnZS85k3Lb1vAkBDnUFvvVR3oPJC93K/+PikAv8J74aphL9HfwOpQUC8mPvvvV67wv0tg9vFLgQyBAcCnX+0fbn+WQJGBMfFfMa1hM6+FLnuuEJ2xvikvCB+Db84/IL7w4KTejO57EQdgycAXceXiErFkgStAsEAr/vruLp69/2xP71FvQoWycyGJgFjvRx6LfpCAHCGIIe4hp8C1ToHs2IxYzQcOJtANoOcyjIC7LjFvCj7ZLpTBOHN8Ix0CeZE5X0xtqP1n3rwAWBFIUhtSICDCD5YPUC+LL/1w2UGHsWpQhE+aTt9uL+4GrqDvLg8tvzFPCc+0/6Z+bVAOsNBQF8FPYpWBjuD+oQOf0d7+3y7vxtBa8PPhURE4EEpfVi9Of31P/jEncgCRzPDkT5ReQz2PDa6eqO/okH1AYU+aHq3eOE1OblNQdHFoEfhjFeIoUF9fyO9A/ri/ZJC5QTEheQFr0MC/257y3s2fKx+gcM+xzXHRcXCQlx8iXecdjk3EXuTwPCEeUVfQlg9qTfddG22FTvRQqUKhc5lS9NGcf46tyA06HjZQTmJEE5ZDWyGX/x5NGpyJfZSf4OJko8WTY8F9Dswsuow4vXfvuqHWItUiEfBajjOM460S7ojwLOGBIicBVQAB/z4uvU8KEAXg3iEScOigjnAFj+WgG3AzIDJwFD/Nn57f3BBSYM2hCGCxz+QPPK7Vnwo/vICzYUEhHTBpn3S+tM6t/xOQAKDP8OYAtcAL72P/Ls9qr9mgOjBd4CpP1I/NoBHwjmDTgM2wIy9UbsQOwB+xgOxR3cIE0T6fhM4ZnXceEA+jUXSyo0KNcRYfOZ2pTSguC8/CIaciqTJqkSY/W+3WDWteJM+kQVESWhI0ISJvmt4zzdD+cv/E0TziCVHi4PJvkd51/i2utl/lURAhuzFgcIIfUz6AXnnPLAAr4QERWkDdL/EfQj7gvy9vx3B38LMgrmARn6I/dh+WcAIQawBdMBL/tP9uv4vgBBCvkOUQu6AGn0oewT76z6QQhzFPsVbwyf/SHvYej17Mf5uQgvE4EWGg8YApL1NuxY62fyBv2RCUgU0BbaD2QCKfJZ5hDlrO78ASMVTiDgHCsK2vFd38nb/uk6A18azSQ9GyMDdOnv2sHfhvUYEOMglB7lCunwxt8s4PfywwyZHoEe7Awq89ne1dyy7YAI2x0DI80Umfqk44LbpuZU/0gXFiLeGjMFhO4M4pHlkPbGCskXphZiCVn4vOxj7KL2cwSBDjIPzgb++xT0TvKi+TgCrQcvCMIDlv2f+C35Zf1SAcQCTwE3/Qj6xvvk/6kF+Ac9BKX7F/Ic7nj0iQDEDucWshLUA7jvMuID44fy0wp9Ho0jERUN+/jgRtcW4Zz64xeIKBEjTQwc73/b2toc78EJiB4eIcASE/tc5xHjtu6SAvgSLxeTDib9Z+8z7Kz0bQIHDgoPzAfl+8Dy5vI2+6AFRQxwC/IB7PbI8H7zbP18CCoPiwsOAdH1kPBp82X+UAl9DvAJWABO9gzyPfZTAJ8J5wsdBiT8nfMq8+P6xQcCEYEQDQaR9njqrOkg9VcJLBn7HZkTnf556PPd1+Kq93wROiMXJBATXfid4YXaIOU8/VUVUSJmHtsMuvWV5Szjm+5oAZoQXBaIEIwD7vYa8KTxg/l6AswJOguzB94BsPua+D/3ZPkF/ogCuAapCBAHSQEI+t/0nPPe+BkD8wtxEIoM4QGh9ansbu1Z970G4BNpF8QO1P9K8XLpne0X+yIKzxVRF7gNl/7Y71/pQe6d+rUJDBRzFfEMf//y8abqiu0J+VYH9hJpFhkP+//f8RvqkuyQ+oYHmROSE8wM2vo1/z/wVuW/BvgFcQkkD4H5F/jy6+oOoxGo7D4d3/Rb8icAK+zBCEcR4RT/G+LuhPJi5SricAQqDrQiKiV+DIn2XOCb1cbozP9sHKAuiSX8Dm7yYdY+28rrJ/nBJCAlTCSRDuvsFeEf2EXnh/9LFWkfaB+eDZYC/vRu5aLn5/79BckF/h0YCnMJowAi6QHtceQs7WsDXg0mJKUglwm9B0bizN4p6A3tEw7yIygeOh0n+sXpEOWy34D4KAjeGOsk+Ax0B0H0YOi68BXtAAA7EKoO1BW9ELMEh/zX73nqKOr/9rYEchsVIYkcSweE7drbhtnV7dQEPyTeKqYjtQM+5RLYh9Q8+BoOCiZGLDUMEvno2CPYBOm9A38i3SX0GnX+ceIt2FHiZ/0NGGEkBxsJA/HnGNok4fL5PxMVI2UcbQa88Eze7OWN+X0PWBpGFisC/et/44juoAK1GfQgHQ/09dnZW9XB6LsJ7ixkNKkhvvd3zpu+Qsse+3MrN0aCPf0WLtpPt92yUdMhCLs55kv8NOkI/9WVtF6+JOA9Di802z4PKCoBgd5KxhLNC+hRBSgfrykAIccGFPOf5VfX1uY399cDFRiMHy4V6Avo+Qvm8uCF43fyQghhGTEg4RgABVju3OA/2rzrF/8GEfchOhqAC7H4leVa4V/q5/nVDCQV9hYBC3P7tfDD6c3xpvrgBesQZwm3Bdj7D/QG9TD48ALoBZAFEwWu+nf2UPtS+WYEegiDBpr/2f968gL1qPy7AhEIYwz/Bwr/CvbJ9XDy7PybB9wKDQ66BU/+iPYd8RL3j/w3BQUP7wb9CKsDEfh6+BH5x/0e/o8DIgQsCMkEswf7AKr6QPTc9ebzav2mCDUPwRAbC3D4+PDO6cXpEwKoD50X2Be+BvjxweQb5KPwEwhQG5IeixXK/iLoiuES6Jn+JxJnHlMaBwWL9ALpxOlw+zEM7BVGElcFFflP7Lb4D/9pCgQQZwi79+rwEe5O/r8JeBdSE9sBWfM53tLis/eECvojmyZ8Dtb6LNsq0y3fwP7jG5gvVyx+Fe3wDNsb0oLhl//UHrIu6ylFFqX3FN5V19vgUPhpEE0iwSYsE20ABOh/2LHeQOubAkEXbR0TF9QFePA/4Snb2etl+8MPFh6cG2QP2P598hTuRfU8AmEQFBnzEuoNXwRc+WX74P2aAXIG7AWTAvz+J/4x/6z8aACh/cTw8u9S7yDvcfyBCWsG0wWo+fvpyeIO7XX/2BTRJs4msRXR+svmit846/cHMCE4MN8nmxAc85jc39xn8DULLCRXKeYZsf0T4ezQm9az69cEABmUGJsJY/Cy3aDY0t6b9IAJ9Rl3Ivohow+IBUf4pPE99kD9tgvAF74a7hvkCyf91vLM6+jz/gRvFBEd4xYzB3bugdlO18zhyPhxDisWRRCK9sTbSdJQ2onxtQwFKI0tQhx3Carwqub/8DEFoRl6JSoewAuA9svpSOw2/VcTYiLIIc4SpvzR51LfhObx9aAEbQ1SCcX5e+ql3qLbVeWb+ygGmA5kEs4OYweiCDsFzgo+Cg4L+QnqAnL/5v+q/zsH7gsmEPgRZQwkBsv9hvh894v4K/zXAKv/ivpg9EfsNuWg4ijkYu03/0oNJwokEFULH/6u+S3/GAaGDpIbIB2fEHUBvPRS6wHvrAE8FJMh+SVYHD8HX/Vo6BPo5u61+yIDJwP3AB/4NPFB6h3l3+Da5wP0u/aNCiMf3SOkJO0bcgRU7hbjdunq+LwR7iYyKXoZ0gSN7WHhCOswANwYfCk6KTIUJPY/27PMys945bX+Ug6kFEsDwOvF23LaTeEV8CMUrigtKVgsNRjc/hXx/Ofc7Dn1ygSQFDsXrRmRF5cLSQLs+2n2Fff8/AYGGAynDgEK9Pla6njaBtOx2KPn8vYICnocTROi/D3xbOqf6dMB0h8BL5MvqyEuAG/cRM4s1Yzr6RK+MpE8yTC8E0/ykdz72Z7sNQZ7GjAiuxIS9xjfCc75zvzhZvavApEHuwj7APnlxu1gAvEGgB7eLHghiQs3+hrrjOKw7hIIoBF0Fy8YVgb4+Nj5swBgDdgZIB9OEoD7lelp3OPbVO+wAwMNhA4T/FPgnMtiyffp6QPiC2M5PirUDKADy/GP6Jr4CQ8pHPwUzQ6S+uHgz+DN76EDPxxvL80tmRpZA2nwYeJR5e/0af8aCIgMGwRS92btE+Ih2DjXwNtq/y0MPwGKNmEj3Am1EHX2eugv8UkAGRbZFKIduREP7dvjJuJ+5lEFGCQlMxQ1ySHzB+vo79hs3FLmmfidDksTzQ8HCETwZduKyvHAFdyRAwr9qTVIQ/4fEhY7+uTWCdaq6YoOKCQXM4gugwAz2bDJa8af5oEd0kKYUaA+lBPq5EXC6cYW4aYEfik3MfUYePri2WXGuMow4NvxlhKzIbvzQwnQBPrxcBVCIfgW2RSv/TrwquJ76roEhQo2EsQVGAAG8uzzv/iVCzEcDyXIHe0P0PUk5jHjVebz9EAGLwvsCy4EDfXO5FrYqNK99YHjM/wiLwgecyefLPgGifGh5AXj9+9qAVcfeR8bCpD/LeYB16jtEQdTI+04XDONGyD5Gt803mfi6vq5GjoaNxMvBE7npNWi2+LgKOnJAn4cpe0gBRkNA/JeCwwfARH4E7oNwAHv80zy2ful8tPwH/0K9//6eBEAGuIfzx50Ecf78en56Ujwfv5EG6scog8FAzXoQdQ02ZjqfPM/BQcJoBw3+ongbQPG4+3uBhw6GzIlnTAFHkIGbubQ2ujO79EZ9m0X/CcsOJspMAUM6BLWMdsP9KsdejtRPG0oSAJd0Z25v8MU23YCcSg7LVAVyev94gTESLGrAm4Q3SkCVI088BRb/hTgwtfz2S/4mgxXC5AWYQ7d9IvzkvHG7En5sAPhD78Y8iB2JM8WyQbX98zeO9qn5X72Fw+vH10g4Qvv56LKKrRa1X3j7QNjSeI57C7EHQXvItXt2/fxtBKaJSI2qiBu90Pgts1/zFXuhw4uJLMtyyHjC2Hy+OgM7sb2vAc1DwkKtAGL9SzuROw+8DT4oPeW+Or+6Pc6AM8RJBSsFTYUmQIs8H7nx+nA83YESBPBFXoG5ffE7KHnI/Y/EPgeNydtIjMKGvUE7YjrJfzWD90WuRTZAdfqh+Bw3TbnEfjY+Z0Sy/ow3fL5yOvV+4Ek2yqOJpoYS/5c7YbdcO8nBigKFRWEDlfzC+er5RLulwaQGW4nXR/uEUMDm/Rp9Ev+JQPpBVABZ/ae7Sbnp+r76ADssQ7S53Tr3hJB9P0MXycLGzoaTAwqAQv7oOz9BZMLzP8jCy79dumL7n/whv3cCdYLCRE7AjL16vk29w0Euw9eDwgQLvdK8grwQeulAOQPng0LDen5pOZt42zmxvvtESwcmCQREyj4HOuP37voJP5+D3kcMBfmAvDy9eVS6VX2HAneGo4Y6g3IAH/vf+2a9K3/XArpCi8EQvlY8f/z0f13CbwQ/A1AAG3yBueP6hr6KAzhG2YcHA7J92HjVN0O6f4BSBylKWMjKwsG7pvYr9V26usHRiFeK0AdJQCb5CzWW92s9k4T+Ca8JEgR3PXA4H3cBuxgA1oYSCCaFPP8iOiF3/DnL/xgEJ0a2ROwAXjtjOLJ6Ev97BOaIZUfnQ1V9AbjU+Ha75UIQh8SJjQbOwO46BDZ09zL8AgM7SIiKAEbOwDK5GrV0NgY7mALkiFTKGYcOQF45d3WjtkD760LUSD0JPsXJwBX6QbgXeZi+gwQyBrQF+MIbPdy7rHyiv9sDd4RWQnC+PDq3eln91gN/R3+HfkLZe2b1vLS+ueUDAEtQDdUJD/8O9QJwEfNvvSII25Afj1MGx/tY8mNwnXccAaKLMI6hCpqBp7hMc831uLxDhErJOwh5Q0p9gPmZ+h9+OcKPRV1EHYBgPHx6QfwPwDbEPMVAw6H+mTodODn5lv7lRE2HVsaygsZ9Xjky+H06zAAjRQmILUejxFe/27uZ+Xw54f0KQazF7sfdBu7C/329OIX2qbhcfa4EKEkKChuF7/5TNy/zenTx/DzFCIu2jEfHSv4b9YmycjVtfanHOgzADFPF3T0Mdjq0kvmVQZ6IhEr8x1WAdXmwdwj567/0RZSH0gTifrN4ifblerXBuIfoCcHFpv0qdSpyuXc4wITKvY78S2jBoXYG74BxT3s9h8mRZtHnCf98zrG7bYmzVr9WS9hSJs8ihOH4p3BhsFo33ALGS8ROHYkcQAK333RdNzn99QTiSEtHIkH9/Hj5ujpAPkNCVwQlQzJ/sLxee1z9HsDxRC/E00LEPtP7CHo1PA7A4wVGh1WF9sG6vHl5Prl0vP2B/8XSRyFE0ICRPCK5sXnUPO+A98QGhYkEu0FK/cL7R3p9e4T+6EJxRTTF6oQbgKm8fflwuVc8BMDWxa4IAUelQ0K9Z/gZtkE4/b6LhiDK70sTRib95nX2ciK0nnzRBwmOeQ8oSK99fvLnrmqyK3xTiJ5QnNCECJ18ZzIVLvtzpn4LCT7PAw44BjC8HbSLcz43nr/ph0tK/YkVQ1v87HiAeOo8AAFzxOZFvsNAv8U8vDubPbTAusNjQ9QBxz5M+306lz0TQV8FTEcXBKX/+TpLd2G4TP1MA/JI0Annhht/MjhANWd2/r0PRPGKI8r9hmo/MvgbtS03I/0ThAJJEYmEBdr/rHot96n5Ab2gQioFRkZVhIlBcz4hvAi7SjyU/pZBPsMSRETEYcKpf9B863qxelR8yUEJhSYHWkZSQk78/fhsN0T6bkAVBjcJCUgAgzy8LHdCNr857oALhhdI+4dlwvk9PDko+Gn6jj8Awx8FbEVTw6GAqf3SfCe7tLxQfmKAg4MmBEYEZsKQf5v8unq8+u/9RQENBGqF4MTfQjH+V/vrOxC8mv6zwTgC08OhA2eCN8Be/qv8hnuje/A9yMEXRLyGQQYvgl49ELjptzV5Rr8yBRVJFIkrxOM+kjkftme4Fr0QAtTHJsgPRfMBGvyseZL5drrSfnuCLUV9RlYFqkJX/eZ6JrgaeVm9roMLx/uJREb6wIq6dvY2dpZ7mUKmyGvKbodiARO6lvbht748FkKAxzcIPEUxAAZ7zLn/euB+vEJ1Rk3Alkc2vF+/Rv54u/lEXP8ZwnFBaf6V/5f/Lz2rwJA+tQJCgfT+sUGcvoY+lf7b/0d/zgMlQWqErkEY/dV8AHo3Os8BywL3x6YESMBavHB4Y/kIPoMDCEjox0KEUr5wdwR3Fzlw/78G7slLSP5C5nvEd5y367tjwySH+QhfhiS+gPpq9ov4mn8nQ4MHy0aaQYx8ofhzOSV9YEHMB1dGSMRlvdj4w/hn+vB/+wb9SGMHSMF3uqo2uXXJOohDHsgQC1SIeYBv+SSz+PQ9+r4CaYnVTXkI9IKxuUPzcPO/eL3/8slRS/CK4cRjPKI2rfS/9lC90sOSSULK4YgAgmz767ZStU020PyXhBDJJkv3SX2DQrrUNB+x8HT9fQKHUc4mz3EJL74oc9ltqW+PeP0ElY92Uh9MgkDLM4tsV22k9m1EFw+DUulNnkIH9cYvL7ALOZxFVo5OELpLYgCENuQyGLQR+2ZEGgnpCn3FWT34eCZ1PrcgfFJAgYL1wt/BCT4sfbl+2sDxAuWDpcMBwniAxgIlwsMDc8IzP/A8BnofOp4+P8L5xyeHx4TXPoY45TXq9+o9/MQTB+xGMH9W9qmxjPEhdrgBFMrTUB2O50gEfre383Z5+2KCj8myTHsJbwJcOoK2HTYLuzZCgAlAS8FKTQQi/RS3BHVj9vp62n8XAToAPDyyfU87H/gOvo3D0QbxSiEKKYbmgl/8bHtZvCg8/wBwA+zCwcJnQLU+xsB+gWREfodGhjfDHQA0OvE4Szirux7+3sD/QKl9Anfus1J5hLvHvaaJtg1hismH88GzfGn5+bidvnED6YTZBXBEfn9DvSG7zr5qg3aF1kh6ySdFLj8t++05Gzkw+sI948BogLj+gzxIOel1zXsiwL79aUJ9hqJFccQBxE0CYkMGP1U9nr60fZb8Ar9RwcoDy0VAxWEE+UJn/w++AL9Iv6fBhMOmQvT/oDwnuGC25beYelV9+cBHv3TDbABgOfU8LgATAn5GhUnByIbF/j53Oac5fjqDfZwDaUbJx34E9wK5gL1/1UCOwfPChcGWfw/9a/zh/Rn9wT9Evy68Y3kMd3b3FjqbA5BE60RQxBrB6r3N/cwAQkRoRyKGDIJCvl36LzgyO92CWwcFygeJW8R8Pt96+XpwfZ3CZoSEhKyBILtE9zT25Hmtvn+CFUHsPaS7Snq7ODR8NsRVysNMBsk6Ar27+jfgeCT9HsTfiT4I8QU1Ps46DrmyfaLD2AnlywqHN//PuTs1ejbO/EkCrwWURFA/Wnnt9PLz2Lc7voqGYYb3Q/PBAP9WvfH/VcLThfgGF0KNPjG7hnunfWABEgYtSIzHMML5/mF8bjwA/k/BkET5RJ9BDDz1eU73rjfce+rA6UNbg6L/sfr5eWb4HLj1ftpHg0xpjM1IeQD1uZk2C3advA9E4ss/C1LHgQHhe404Q3nN/wDFdIiNB3ACePxCOBt21Tku/YtCLoOFwh/+Avpet1n35bylAREDawOCBHPCxoFYwJ+AJEBfgVVBdH/KgCWBpYILAj3CSQKtAVF/4b+hwGrBjYKEQeHAfH5WPEx7ZHxzvjPAiwG/wL1+4XylujB5Ivx3P9wBmANyRFmEZkLVgPD+Rr1yvZw+2oDzg40F2cZCQ75/q7xWesp7/T9hBGuIfwfwg5W9cLdHNVX4JH3PRI8IzkgGAkf6hrU+9HH4L76pRWaIugbdAb18tHpkvCVAEIQ3xO3D/cDUPj/9Kf+Pgw1F5kWzAj29fLpW+yn+u8RFyUKI0EPePFF2GPSGd9V/lggwC6FJoYHZuHFyKXGAeGxBWwlEDA4I5YDmuM90Y3WUvGyEVEm1iVWFcX9aeul5jHwzgG1EiIWBQ2s/+T11/Ns/YAJLRKDEFsFDfeY6hLtpPjICnEblBy6EdT6TOVT3GXhavY/EBUhxiRSFBz6D+IN2O3etfSyDmEjriMNGMoEVe6H4HrjLO9eBbMVAB2cGe4O2P667h7mgelz8/8DcBRMHacZRg75/DfrU+Mn5ij1UwnvF1ofWxcbA7Txk+MR4uLtlv+QELEYyxZdCz36LvMy7ALuIfp5AOQHqQxYDGULVAjQA+75g+/+7H/vxvjDCrobHSCiG0QF9enh1hjXTucxBb0l1TcBMKsPe+W0yOnAR9lxAhornkJoOnsTPOamw9a+TNYzB3cwzz4+L64IHeA/yGfNIOmbE+ku5S2cFcbxWtUf153rzg0rJk4oWBP78drSBNIs68oPNC9oNZ8fC/cmzei/l9Ux/xktLkYJO0YRTt5ru7u6et6nECs9sEewLzQC0dLMvefHGu+bHWQ4lzbAGerxd9P+zsvg2AC5Hn4m8htmBGHv8OJe6GX5zApPEWQNrAKI9hnzy/hUAD4J1AiBAWf60PHN9PH99wk2ECYOYAJ49hfs/Oyw+AgGthOVEx0Mh/4c8pHsj+9v+7gI+hD7EN8HpvqS85Xxhvc3AOIFXgquB7H/2/wP+ZD6wv8PAfgDOgHE/ur6vflC/5IDNwXZAyoBN/2A+nP7jP0V/3ABnAEfAbEB/ABqABoBD/96/ML56fnY+08DXAY+CTUI4v8q+oP0WfbG+SQCFgfbB1kHBwL5/qf7ePwx+uL6D/wn/mIB3wbEDK0MwwTH+lLxA+nn7XD+Kg3RGscckQ9U+wPkmNsT5GT4bBHqIv8kOxTF+QLj59g44JP2oxGoIQQiQxOL/Yfm99x+5L73dQxMGm0d3RJH/ynu0ucf7JH3FghDEMcQeQmj/v72dfVU+Fz+DwSvBHwD7AAr/+gA9AMEBV0Dlf2q9lz11/htACQMoBI2D14F3fQT6SPp0PWdB8kYKh8SFXj9XehP3E/hwfnDE+4nrCalD9zxbth20zfk0AJkIS4v1CXJBublL9Ox1TXuLA4qJyErqRhR+lDf5NWS4tH8VxcRJcoeVAh47pnfH+FN9OwLlx26HhoPE/iZ5dPgVOy7AyAbFyJXF/cB5+kL3fLi2/bvEXgjDCVtE7748d/X2O3jv/78FuckFiEPD8P1cOQO4QDt//2ZDzAWOhLpCHf9RfZK9BL10/g/+xz/3QPhCVAN6Q3oB0r7yO/N6ZbsAfkZCu8Ybxk3EJwAt+4w5vjnBPWTBcIRnRhLEYEFa/iz8C3wj/V4/YUFGgu+CrEHwwS2AEL9L/qQ9wP4hPt3AOwFTAyPC3kIOgFB+dzxv/Je+WoCNQsEDxkNIgTb+6L0nPNL+KH/PgN/B98H0wI0ANH9Df9eACIBF/4e+w38cfzXAjgKkAvPB6X+yPYW8bjxmP2KB1UR1BAcB875iO527c71YQSZEUwVrg1v/wDxG+rU8df/kxDuGHwVhQaP8Y3jAea59G4KhB4dIwIXg/sw42LYAOBR+XwXgSyfKtwT9fOG1szOEd7K//wgcDI0K0gRjewI0gLOLN/eAyQlnjCgJd4KbOss2N3WKOpXBtcdHSSQGdcEYO4D5J3n9vbdB+ISexFICWX+dfgc9yf8VP9lBtUGwf4o+RX4//yGBUkM+AvxBaz6m/E48Hb3iAPMD3MV/w8WAxz0Hezg6zL3aQUzETsUwg1mA/35+fHl8LvykfuxBXoLqg6GCh4HPP6980PtMe5y9bsDShKOFyUVuAbO9A/n1eL27N8AuxbuIUQc9QmB8svg29y16BsCPRdAIgUdHgqg86ziquC16wYBahLRG8gYdAsC+s3p4+aP7Ob8zAwfFekTBAzS/OrwEuvA8Yb7VAjED7MOdgZ3/GT20fUZ+kgBkQXCBVYC7/wp+Z/6af/EA28HmwWR/eL4R/WN98X8yALwBhQIqgVBAJr5vvXT9Nn42/1gBBUKWg3FCz4F/fzW88ru4PCl+8kKghauGYsRHwDf7aPhbeNI8+0KlByHIL0T4vot43LXh94483MNWiHSIicS5ve74pDchOkOA30d/CepIRALn/Gn4JjjlfdOEH4gISHrEaP5TeVy38/olfxLEB4Z0xFH+5fj7Nbp18fmIf6EFUQflBbZBdf5g/RV9UH9NwptFU4YFBJfBhH7+vIX8k73RP/cCEgS/hfmEw0H6/Y46f3hKeQa7nr+gwpJCvf9jOjP3z3l3PAv//UW/y0vMgkejf7S5kHdReTb+nATciL6IMwR+vus68jqA/nsDcUcsh1OEQT64+Ok2/Dhn/FVAWsI9v956Y7Uld3p+lEM7As2GbAojSKGA7/s3Ox7+HMARQWwBgAJgAsHC6MDWACwCIIRkgzIAe8AfQTAAeH5bfjj9VLyROza6AHnGur56R34QhMPEJ755fUoD30WMA0CB84Mmgav+f7vTvFD+zwMAxN7DbsFfgWXBBACzgiVFWIYxggk9avjqtvx3uDwpgVSFHENbPOSzPDLHucE63P7dCxZWPNAMxAH6YzVD8sZ3pX9oh/ZNcs1rBDF657hyOqN9+gLwSgnMH8ejf2h6MTd5uBp6b33lQE9Bnr3buHT0xj0qAwi9534MRZRKIkPTgYLBKoD/PiW83/sDvwKEUgUMgxGEkcUEANp+ZD+ngeUCPYIPAFw/tH55PTO7HT1/fzk977mpdrU2MYAtApe+JAOfyfFG4D53vdK99EBPAWoCB0GmxEGBmjx2fM9DOcXghnpHAcUQQQ67VniI+wUCiAVFxEiCbH7u94ZzlTQf95V8CIgDyFV8Lz1fP6v/Ib/TB9AH4ka8gKX4c3XZfGFBHYQWy7NMesUlPcN6Y/kx/qBC+wWdiK8G7z56d493vbhQ+2B/NEAPfQw5Rn5HfYY3vcG6xxAG/IP7g3//Lf/KP9J9WQGKBBuAoP2FQPuBuYOnRh3GHEWZwsn8cHjrvHX/PUFiRHkErcElO8c3FjN4c/I1PIDnB8E/ucXNRZrBPb6ffiJ+CADyQpw/sQRSBZEB8b8t/kZ9yP5oAbtDv8hvSbBEb4AW/IL55jkYPEQAd4RjxJwAvTrt9OCw7XZegd39OwZWjDFEwcQ4/Su7n367AJ3AQQQuB0XBsIA8/vV+JYEwQWLCoQS8RRKBX8AKQPz+zH+dvlQ9778YvSC8d3y9+6T64fuvwZh84Xo0gkF+oEFehtIBwwX4BBL8Lz0AfMC86cJ9xUtGsYbPQm485frjuuo+I0Nxh9iIgoYKQFp6T3ju+jj9oIKgxIbC6D7Y+Ux3mHijO22AbINLQ68BwX5HvMo9wwAsw39GIYW7wz7/MTvQfH1++oK+RikG/QUNgbM9vftS/D3/G4KyxSkE8sGQvZx5zDg5+Fu6zf4nf2cAM3+l/k9+GH5Zvw3AdUDBAL5A9wHNwvvDyAQVAxLBpb8/PVj+BACKhBcGlkcahRmBDP0/ems68n2MAOSDRANDgIO8e/hYdyY4FzsD/1UBx4LrQlcAcT9z/wm/j0EwQenBoAFXAOcBY4Lrw54EI8M+AL9+EXyF/QbAb4RdB6MH/8Rb/k04GLSUNiA7HIHfBg4GwgKIOkHz/7Er9K69z4dlDZbOCwfKPi62CnMytzHAZQov0BTPRkfx/Xk1NTKXN09Av0nMD3UNvQZdfN/1T/MCNsf9mEQTh18FQ0A0elO2ObUp9/I8IgBQw6/EnoTzw6+Bgb+ZfeV8tPyXvwDDL0csCbyIJkOXPTo3QraJOryCP8pXzmtL9kPAOdhx47BmNnNAtwmtjJVIG35K817tOm7TOCnD4U14D6aKt4D1Nzpyi3YTvglHoo35TZJIRMAheP+25Xmhf5oGAwmFCJ0EhX9Yu5C62Xylv7JB0MI7gGh9i/sN+hw7cjzlvpV/mv6Z/W+8rf1E/5sCpISqBOgD8oDnfjn83P2MAJBD1cXphlcEbsDtvaW8NnzFf8QCxsU3RXkDg8B6fLG6dToB+5+9jz8FAHZ/Rr2OvFq7wLxDPn7//wGqgpgCHsF8AU2BaQGXgizB84EwgEh/gUAdQUSCqMOfA6dBzIAQPmd9iP73wBeB14KAgeM/4H20+1C6WHp5ey672712fyBA0IJLgonBF36SfEm7GD0TQdMGgIpOCjHFEv6mN+x1bjkwgNmJqA7WTYtGf3w7M6axtbbNwPDK7w+jzLMCy/ccbk/s8DOf/r9IYQ01ih1BVnfeMhHyyHpVxDqLqo6MixoDFDugNvr3NLxEAsNIWAoECAmDtD64uz/6QPx4v3/C1YVGxYKECYDu/Ma51PgkuKP7XP9dAgBDc4H7/lh7DTkC+qK+UoKexkhHdkWtgj2+OjxF/a7/0kLuBPdE2AOaQQn/UT9sf9LA1oHxgbIAxX+5vrj/Bj/sAHuAD/5s+yM6KDoRuK/+m0JzhK0FhoCe/aM6ETdJu/xBncffisAIasOofIn2/nbku/3DPcqWjLXKOkNIerK15nYJu1dDtEnNy/AHpr56dkPxdjGrN5LAFQq9xbFE4X8Nd1P3bXeaQQlJbAmuCbVEfvyvuMU2XHwuAt7GJkm4CCWDOP6EeqA8M/8cQk5HCAc9xN2BFPxe+mu59/rwfogARsC//h86e/lovN32cz0aAiUDrAdBRh4Gy8R9vLP8iHwrO1//BEBsg/+D7sE1AVHASb7SgNHBLoMFQwZCmULPwVvBbADoAAo+9Ly8uz/62rv8fUE+vD55/TNBBbhMeWi/qEAuRz9IAMqjyJN+//qBuPf3hP0FAOyHNYkxBNHCBT5QOkP7zr6bA+uHq0cNxd4AxLsXOJy42HwjAD8Cv4PDgAq6JrWrtUR8BTvaxAcK6EhJBY6AEb2IPOM7SUCpw94DAIGWvdF8P/vK/ilDVwbNRu/E20EQPie91v6Xg2ZF7YQlgd79Nvj/eJl6jcCkQqtAPryhdU+59vYveN1I10oyjKmHkEBEvMt1y7hDQfLExgipRUo/0LsZtsd6i0OhSBkL+YnaArU8U3cyeS1+9IM1B59GnICVekX1CPba+aA9HkBjweiDE7gCupc+yYFSx8cJSsnLRCC5YLhKeOg8mkQfh5VJLMOHe7f5C/nG/nrGzo0dDYkG5H1mNlMymDZ1gB7I+oyiiOp/vXYNrU9st/Kk/1CNrglIym7EgjntNkW3eQAcCDuIX4rnhSX8NrbqdJS52cArBXgLfUtNhmAB0fycuv560H18wt2E7YTmBICA1Dy5eOy3gzqouqF9GP4sQNbCgnpA/rjAdgE5BEOFrYcWhAf9Knzfe848Kf+owdYE8oMRv4M/4L9rAFuEfwY+BpfC3H2EO7t6KPxqwZIFWgXRAeR7gPfJtL+1aTkYgDdIYMBAgarAl72x/4zBWEZWh3+BPf9PvJS65/ybv0sEXQWHg0BCPQBkfowAm0KMxVfFVoJcQIp9Z/sDfJQ+gYGGwoSAqX+MO4G3QjauOF/AQn29Qr8GdoTVxIvB8IJjAek9eX5QPql9jX8if2ICbYN/wYcBVsBjvby94r7lgywGW8ZYhs1DGX0SeVt3/Xqfv0xDHsa7RMx+yXiC8njxPDnaPq9C6EzaSWzG77+5Oy+8gT0K/+dGG8XexKu/s7t4fBh8Zf/kxdrHBsZsAiX9SLya++o/nsTLRolFswCNOlv2+PVW+elBG8SSRiVBfrzZNz3xpLlqQEmJnE6gDO7HeX1JdEOzcXcD/4eHjwseSoMENLvtN0K22rsRgaLHIwsbSV4EDH/f+qu5aHpBPUJBoUOkxA7Drv+nfH+5e/ciudu9mn99BJTFl8RJgd/9MPwgvFg+VYIzxIEF6gR5QKV+fzzuvU0/gEGswsADDIFvAEkAf0BOwZ+B4IFZgGM+SD4QPvgAisINQdPAOvy3OTk4ILnq/Q+BNMOHw1yBO32eu5Y8JT4qwUoEr0XVRQfCzcBvPl4+cr8BwMmCc0K9AoUCcwFGAU0BDQDowFY/db6Ivov+3b/zwPdBbAB0vWQ6RXhxeDN6M35jQuMFl0VIwqZ91XpCOUn7wsFcxquKCYokBe6ADvrXOBd5xr6lhCdItwmWRzRBybyK+SO4lvtW/80ENwXVBSUBczyvOIV28rd+uph+fAEXAtWCpUD9P4/+mn5sfth/dUB7Ac8DYATjRcMFjAOcf+k8jTrRu6B/PsQECKBJoYa8gPt6T3aR9yx7ooIcRzBH+oR4/cu3srP3dS2553+3w0gEocIkvtW9Ib0IP1wBzQM2glXBKn/FwDECWATSRmnE+kDR/G55eLpcvwrFTQngyn/Fxj7ed+f04/bl/OLEOMiYSMvDwHxI9UGyP/PYOYOBPEZ3CJHHN0KLPZz5gDknO74AWMX+iUmKTcegAjv8gXk4OLv8FIHMR3VJ+ohHA559ZDiBt4R69oARBRGG+USQv/K6Fzb8tvt6Oj6cghZChQCLPVC7MDua/q+CC0T2RTKCxQBPPr/+iME8Q2hFIsSuQho/Q/3wfguAcgLlRHJD8AHZ/yt9cL0X/lb//ACJQIC/S33evOw8YLyWPRt9KDztfT7+Nv/kQcEDJ4K4QRf/Nb2iPnPA70PwRnkGcMQJQGl8srsi/KCAeERGhv2GEgLOvqy7ELprPCo/tUKAxCwCYX7VO3Z4+LjOe0M+l0EYwY1Auj5kfSy9M/7+gVWD/gQIQ0cBhf/L/7SAe8IJQ+zEDIL/QGD+o/46f17BqoOHhAPCmX+f/Mr7vjxtfx5BzoMJQeM+jDrTuF84Z7sFv7cC3YSOQvN/HbvvOkH72j/AhERHdceHxS4BFn29+2x8mf/bwwzGHEZnBEqA1X1su2Q7534jQVSD0AS3AqV/PLt9OWT6dHzVQHhCkQJ6/7U8Yjo8egn9HQDyBHJFkIQpANt9Yvvw/RaA8sTdR3+G5kPbv658EHsevP/ApMQshfMEwAI4Pi87hnsUPKY/I4F+gkjCMf/yfZE8MzufvEJ9+j7V/8qATUAjP85/uX9qP2j/lwBtwS7BzwJpghoBTkBIf9H/20CCQgQC5IKqgXk/RX3X/UQ+nkDXw00EYcN4QDj8WTn/+Wm79oA0BE1GpIVEwTJ7Ebb3Nff5aP/lhpKKsEmoBDb8fbWRc8+3mL+XiLRN2Y1JhuP9ErUFcn015H6UB+0NUgzURr+9JvWF8zF2V33ZBUQKPkm9BOu+bzj8dpw4TDyBAVrEgEY9hKICIH8ZPOj7WDuZvPM/IcJyhPwGDMU4Qcx9m3p4OJ+9sH/rQq8NU0dDQpDAorXONdu5A/3SBkdJ/clhBF/8lnhKtMW8XT/kwb7Lr4Wiwl2/2bsm+aD+U0AUw4nEWwTmwBC74sDTfB/AcsH3/999Z73ZO09/XoZIRPFGo8NsOxF3mfaROqYBLwncys+I3gJENv/yxfN0+niFKUuZj6ZHGcEzdIzxjXSs/MeGvwyQzb+Gnz1P92PxdTinPeaGIQmUSjzDWr5Rucu2EnqDAJYANsfWxTAB8j/bPeO7hzw6QD196MIhwKED6kA7wYUBgn24/0L9ADzovnkAH0DEwslC3X+WALC+G330/5+A0gDgwz/BkUBfgCG/HD38f4rAiv86wXJAA75MQHT/Tb9hAF8A+P0tvnD9ebwrft5A/MFegUkB0n7PPWN8gr58PepApALtgUmBoAFjfsP+u/9YvdLADcB2gFXCRwJzwcbB68Bb/iK8pP1DfkWAeILUg5OBR383u464r7kaPMSBCIPAxJ1CbT4zOdM4U3sKfkfD3wcfhyqDLH8ze/f5x3yLgZbFIAcHR2iCqj3I+0W65r2wwlhGT4eYBTE/jrs+N1Z5PH4EgyFF0QYZAYw7pfYhdoV6FL9mhMkG8QSOvti5nXdqOYH/JUXOScWJYkTGviB4kjdwO2eCD8f8i0aKO8N+vIj3xHdie0hCcUhqCsEHkgFvOds0CHSb+ohA2kcBCdYFcX6feK1y27QY+1nCYce5inFHWoEgO9m5efm4/aIDjgbbxyaFHcHOfoR9ML31f7tBiALKgvNCEoIxQW4AGf77PeH8VDvWPW+/+cKsQ39B5v3G+ZM3kzhNPAbBgQbTR24D334Buvm46Hv6Ag7IRErCyBBCGHrjtuI5Df/mxsnLp0t4Bdw8mDZC9ma6CsFuCGsKc4a7f7C4O/Tmtn074gIdhVNEwsFePKN4X3hhe/6ALEK3g1SDs0KggcWBoEHXQZDADT4KPNT+aAGDRmkI4Ah6Q1z85jddteC50sGGiQmM/QmqgTV3aLDMMOw3DQG2CmlMgwhPf1Q02u7ZcTo5n8RtDGHPIQsywkN6ifYVNuv8xQU3ym3LLIgBwru8Yfl6ujU9nsKvhoiHtYUygZ99Wfp6OTa60T5PwZ6DKALSAGx8f/j694G4wPwLAIyEwkbDBOoAf7yCO718nz/YxMPIrAlphSQ/EznMeKa6qoCFB6ML3EshBWx9cTZ89C43ub9JRrvKogl0AlA4ynKtMee2mL42xRtIsAZAAQL7Ifd2+Cs91kVCCjtJjAZHgQ08/PskPXFBFkRKBXzDjgCKPmn+kEFaBBXE2ULM/rW6crfvuUB+fsOlhrKFWH/FOOzzOjIbtke+bgbJS8sKwATxPWZ4TjhrO+oChkh+SxhJrARpfjd5nfjmO/CAGIStR/wINkWrgV19cfqKuZX6BnyOP3iBXoLEAuVAZPyS+JN2EvZuunNAeMZnydtK8Yf1geN7qngZuEf8jQPvyjPMW4l3AsI7wzb/tjF7BEMDiijMdIlEQhE5hHObcxa3NL3yRIuIGAXg/sa4CrPxc675M4D+xztJ+YmoxtUDAv73PCA8AX5gwKCC7oQMRSUE4MPWgU1+kzyCfJG+QwF/Q9KFSMQDgE27VrbHtV63hfyLgWVDs4LNf/g8fDpHedF7qEGUyXpNdIuNha0+qLih9kZ4mz7TBirKxYtSR3y/8/m2d6E6L38/xAhHTMa6gY37e7ZzdRK3hrxxACJBuoAxPdl9Wj5FfvpAfcM6xqJHSMUVQYv/tP8cf1g/fL7bv5pBD0NfxOEFKYQ7grT/yrzXOm96y/2LwXUCwAKSv9r7p3dfdWp2MbkxvpaFVokSRxJCUX/1v74AOcAtAPICHALawmLBEz/j/xtAawHDQk8Bm8E5QYUCasHbAK//Kj1a+9S6sPqfvAd+xgBKv4c8x/mNuSM8mAC7wwIFmkf/yPFG3sGU/HW5mPsI/sFClERnhXmFTMRHATh9i3wJvVGAO4LAxBGDuYEWfe/5nbcYt3r6b369wWGBD/4FPHd8ZT1afvqBR0YgSnnKdoVX/f44FPesO4bBM8VFx4HGyARcACv8YbuE/nMCQgTFhAnBGv2ee236i7tl/ND+qD8Tffv7KfkpetA/pgO2RJMDjoNPQ8qEecLbAHO9cDxiPV//vQG1Q5dFcEYbRDoAMHwMekq8L4A1BExGgkXwAew8Mnb09Lx28byQwtPF9wN8Pjq52LgfuUk9CQLeSIBL1soCxKJ8zveat1U79oIvxt5IDQXrQaj9xjx/PNy/40LwhAYDpEFLPs09ib0M/Zm/DAAx/9v/UP2Ze8b6hnpcPLmANcLKhD+DicKNAbLAWj/Gv18/bYBugh2C7IKogQS/WT32vgjAFkIXA7rDzIKpwEq+bn1B/jP+zEBAAQ4ABn9zfmP90b4cvbn8UPvmvGB94wAAwoAEUISng2kBGL6+u8o75b7fwv6GCMdshSzAWDwxeYq7Mv8ZBH+HiEg7BRDAqjxFuiG6WL0iwKiDt8UnhE+B4n59+ns32re1OMH9i8M7ht9H3IVMf806V7eeuNW9kcRwydxLi8fpQF44nPS6Nh09YEYNDHNNNoejvs73aXSHODd/d0cQiw4JIkKw+zu2i3cwu1TBcAVwhW/BPnurOGc4yz0ggcmFPMT/wdh+lTye/RY/tAKRBKlDw8Gxfu/9Zz45QEDC2QPOAr5AWL6Efj3/CAHGA4vDiAFePmx8fvxYvl1BUMMjAwgAzf0resv6cbtovqiBGIJIAbC/cr4E/hz/ecEwwbIA/P+vPlc+5UERw/RFvcSxAJw75DjLeYR+rMUsyvwLkYbBPjK2HvJ9dZz/DAjRz15Oh8Zm+n7w0u6pdAf/EwneTscMZIMa96/wIjAtty1Bxgt+DvELv0L+udM0rvUzOypDKwjcynhGpgCyO2g5Jvsl/waDc8TDg9WBUj6Qvbe+1kEYArVCMT+//OX7hLz0/5hDYAUzg5W/xTpf9xt3cXuAAiGHHchmRQV/a/mGd0t5un8mhYzJuMiIxHl+GnmpeII7ugBKRQPHHMWLQh29zLwI/Ad+k4ElAs7DWkJ6AG6+3f5Ifti/CP+Iv3e+7X7Ef3C/wgAVP01+Abzp/BP9E38ygZADmkOZQgx/fjze/FQ96kDahAYFvURUQZu9pPrd+st9hcIUxfEG6AUFgNf8Z3nqulz+W4KiBmPHPsQg/7Z7G/kiejx9lUFIw/aDV4EsfjO74fsyvDR+FsBdAf8CZ4IJQbAAqH+lPyC+y79ugAJBT0HTQdEBU8B8f1Y/CD9LQA8Az0EAwJAAS0AdAEwBO0EnAPAANX7bvfl9vf4Jv5EA5QFcwNZ+7v0s+8B7tzy2fvRBZwN8BBZDRwGWPuH8iDwfPRL/6cMhBdSGoIRogIc8CDlmeby8/kIMxu2IhAaIQiF8EThxOCE7uIEVhlvII8ZXgW27nvfN9036az6jQs2ENYMJf8P8c/q+Oy++EMHThAbE/ILawFu+Az2fvq8AkQKvgwyBxP+l/Yl9Rv7CwadDuYSogwEAOP04u6N8xUAKg6YF3ETrwUz9A/o4+TQ7Y39DgvKDToG9/lO7Fvn1u0C+l0JfhEjETgLtgJ9/fL8rf6KAeABrv/e/tb+RALGCNYKUAkdAiT4GfL487b93gxeF3gXlwzC+jHqSuSU6n/8ag5CFsoPFv0B6GTY2Ng56qUBkxiSIIUYRgZ/8YnnpO6MAIIVXiA+GtwHPPD34oLmpviKEO0gpyAQERX4q+a6433zBgx+H/cjkxO1+f3httmZ5lUAzBdAH2kQgfMc1tHH59O18nkWMCwuKg8SPPIX3nLfLvg2GD0uFyuPD17qZ9DG0HzsgBOXMgM4Sx8o+dDZS9HS5gQMQitZNUQgEfpq1qXKNNsv/xMihSyVGhn0jswsupDGaO+KHRk86jr4HEP0LNa909nreRIDMQ824R9s997ROMXF1A37MSW0Plw8hCBe+H/XEs0C3VP8cx25LTAqeBLY8RPa5dAW2hzxLgjyFfERwv7g6TLbAd2l8O0JZSQqL+coWBSC90rl9t2x6Kj9sQ9TGe8S5wTH94/yy/rRCc0YuBzyEo7/5+0r50vvSAHZE30ZexFc+yPkENgo3cfwRAZvD/EJL/ry5YHjPe14CQwl1zP4LmcREPDq07TP8OIRAkwgsCocIE4HiOx64rzqvAIsG8smhCBhCqzxbuKd4ajx0ATaE9QUNQja9qjk2d4Z4Yrqgvi/BEEJ7w65CPwJDwiQCjsNiwoqCN38tPQe7zDv7/j2AzkQGhZlFK4NagJx/Gz4T/tuAG4FsgrwCfEDdf2K9v3zavTW92b5xvot+NDzyOv36OftEfbEB+MQgBocF34PMQn7/S/9Efk2+Ov1gvP89u36Gwf5EdcZ0BqMD7oA7+8e6+nuzQHNE64enxkUBpnurNxS20Hp7gDUE/8X5QcV6sjPrssf25QFiSfBQn09rCFf/QPa3dCj2Nf09A5AHfkcNg2q/ND0WPaGAtALTRGdC4gCqfyF/JMEFQlxCEj9Me4b5uDnQvhaCkoWqBB79w/W+MA2yIjmQhumP0xQijowD3vhFcQAyVHk0wwgKR0vFB3G/ljmlN+j7DQFMhzNJwwgPg5N+aHra+qv8Wz8kga/CG8JaAWvAPP55PB45iDaxNQq32b3tBT0MJUzZSjABtDpetnd3v/35BF8IzAeBwld7XbbdN9e9a0V+i1sMtgiFAOE56HY+d4t9EkLwBzYHIQRe/7N6wrjzeFd6JTw9PSI9Lf41/2vB2MUERWbFxUKAAQE+nX7l/7OArIEsP/O967zivTR/3oO2B3VIkMcNQt59cvn8+MY8D0AOxLwGLoUngUE89rkYOAa5/rxw/qz+nvzavN28gsD2w6WG48etBIHCCT2T/Fx8Kz4QgCcA4MClv44/awCWQpnFXAW5BIcBBj2Cu2E76n7xQo1E+QS+ASB9lLqQem/8Ev8fwLE/WzsINxO3ODo6QtqKOA6GjPPFdL1idiT19XkMgErGPQeoxXP/jfssudJ9KMN0SBRK9kdfwb465HbgN/V7pgJERtTH8UT9/rr46LU0dZo49XzSP05B0UGPwgyCWkIiA31CJ0MogV0A17++flh9uP0IvUi+lgAsAy7FBQc3hcWDxkARPHC7O/vdf7vDB0VAxSSBov30Omv5kntJ/kgA/EA9vJp34zb1OGT/5MclzMuOCEj3wdL5wrZFNq17K0E0xVCG6MRywEm9vjxO/1fCtUXGBpGE60CzfIv63/tRfm4BkwOCwzMAPDwH+hA5qvs5vJl8r31zPPi+MsF5Q/+IIMhzB9JDQL6EOgt4DLmMfXOB/gW9Rm2FRAJqf4++FL6ugGbCaAQdw4tCUz/n/Yu8g7yZflQ/6EDMwOY/NHziuaM2x7YQeYz+O0WEiX/KzAfWApd94nrUfAc++8GvwsgBuz7B/FY8GL7nwuVHfMh9htZCaX2POtE7I/3fwbyD28QmQUK+CDsL+l37Zb11vjA8xPpyuoj7oAGFxiLJkckwxCE/cnpNutD+AYNZxs+GH0F7+pL2ATcpPNpHMY4JEMYLaADXtiywKLJqO3RG1A8ET0gHgrsNcByrsC/COrZFEYraikXDCrs7ddI2D70LBQQMrw1Myb6BjTpodsK3/rwSQWLD/8Rswn5A3YELwxAFJIUFwq29/Pow+Yl9FsN5CA2JSsSR+5kzH6898gX6pMPCSojLEMV6vTf1rXS3eQmCygwsUGTON4WEO0Szd/FbNlV+5oegjHfLpoapP0R6Lff0egd/LsRwR8rIVIVgwH865bdZtl34wb1QAeJETEOxf2b7SHgZuEO8KUEbxgoI10gdxRHBO72P/JO9OD7NwQaCdoJ3QjNBR0Cqf/b/DH8/P3UAiwJXQ9fE0QQVQa/9zLpV+NQ5qz0Pgb1Et8T6ASg7IvZvtK238/5sRhzLFAt2hrS/QPl1tuV5Wf+JRnIKPcllxHg9kTgktrx5RX9xxVnJAckyxVKAKjuEecL7JH5VQfJEAMPrwe1/Ofxqe1k7bnxpPai+6r9rQAZA+oEjQZIBJkBGv7k/Pr+PwOQCBgOyQ1sCZwAjvcK8QTyjfm/BOAPNxXSE5cLdv1p88Tske/F+foIJhIRFPsNTf617gfkQ+Lo60z70ArmE2oRUgWU82fmKOIz7Cb+KxLnH04hVBW3AtDua+RD5xr24QkYG7Eg2xgoCBHzVeZ+5hfz7gR9FnsejBoWC/z3fOjy4vbqWPv1DIwX+BWRCVj3R+hf4MXkv/I2BeUR/BVIDoIBofOp7LTvfvkJBqkQCxShD9EGeP2c9Wf0LvcV/2IGcQ3kDckJeALP+fH2SvWz+hoD6gkICt4EVP3G9mb2+Pq1AvEHEQXn/j7zt+1P7zj7kAvQEwESfQPy7i7ht+Pz9tsSNSg7K7IX+vc62UPOo9/oAi0p8Dv5MVAMEuAjw83F9uZRF+c7/UGhJUL2hcsWu/HQH/wxK15A4DXiCxncKb/xwrDjDxQZNJs4MBzE8uPOJsTp2DoAEib3N3oqkgk45ufQx9bz8FsRwydfKSQWTPyl6HPhn+oI/UUPmBXAE8AI+v+A93H27ffL+hv8Qf1HAW4GfAx4DdUH6/3c8IHn9+nC8/8G5xVYHe0SKgHD67/fCuB58I4FvBmjIEYbNwgZ8RDiMN8a7CcBbhXwH9EdKw4F+Z3ncOFC6HL63w49GzQcyQ90/dzqceT46TT5eAx/F3wXywtZ+ejrROdY8X4A+g+mFn4QGgKa8BTpnezN+m0LLRcDFioKcfcb6dbl+/BqA00VGR1iF0AF6PBD46jjJPHwBBEXEB+HGc8HMfEK5J3gAOuo/ngTyR9VHPMMvffE5ivfSeT+98gLrhuxHmsUWQAB7Ubf4OGe7xUGKxn1IekalQh08V7hgd5c6/YAGBhkJFEf0g4j8zDgf9k/5xMATRrDKKoiyQ3I7zvbd9ZD6TYEix9dKnsgmgYT6HjVwNYU7ZYLfyXDKbgaQv/L4/vWAd8j9noRRyL2ICAR2vdE5fTfJetV/hERbhrXFi8Hg/eF7Drt4/RuAeALFg/IC68DT/xp9431NPpZ/lkD0AV4BrMGlAPJ/s37uPYM+XD5Rf/sBY0LIw1yB0j/a/aZ75zxpvgxBYAPMxPrD5sDtPV56xTq1/HgAPYPpBkuFjcKVvhD6h7l3Orx+P4KBhrGG1gT8wG679bkUuMh7YP/uhE6HeMcXxHO/BXntdte3h3xcwz+Ir4r9x/XBlrnONJs0/LoOAoDKZAzjifAB1jk0c0k0aLqKw5FKpYxyB/WAZnhWdRH3N/16hJcJLUiZBB39hfl/eBW7h0DVhNAF74Nef4S8YTthvRTAsULOxAACDv8M/L68Kn4ZgTADfYQXgmN/eLxCO5z9LgAbgxBEnIMCAJe9TLwNPK0+oUH9g20Di4Gg/z99Kv0dPdBAIMHWgpBB6AAy/wI++/8ev/3AkkBPQDv/8L/xgFiA7EDSAKJ/8/5SPn/+7UCtQjFCqoGawB296vyb/W7/QsIoA2RDkAFovnm7wHt7fOjARQOjhQjEJwD/vRg6xHq4fPNAvIQWRfPEnADX/NE5yvmcPLlBIkVHR1uFNAC/e4J5BzoIfjtDdoceh0ID9H54unM5TXxEQbmFqQcPxKh/WrpfeA/6Mf79RHmHNQWxQO66hjbB9xe7RIIeh3RI80ZRAMW74zl7+uG/W8S3h+hH84STACg8GTpOu1T+TEHBRBiEJoI+/t28TfqC+iH7ILxP/c+/BH/2ADn/xIBvQOcCJoOyRHiECQL/gOn/rv82v/9A1YGRAcAA+v+Of5CABAHtQwpDkYHvfue8Nroc+nW74T3MfsU+Fvwd+wj8Mj8sQpzFicaChjCDrMCf/ex8//5EQYlDxwPcAU2947uA/NNA7AXxSWgJZUVVvyo4cPS6Ndg7lQL5SBlIMoJX+e2xbK09MPh8DsgkkKUQhMpQAe05jjWitqn7GMOdimhMsskogJx4P/QndeG9XkXpjHiOz0wtBOH8cXUHc3b2Bn0gRA9H5IehQz68CrYuMfRx0vdvQE/H8ItgiPODdr6g/JV82v93gPiDDwRMQ6MAzr38e7e8fn7WgqWElIUxhA8CosEk/+4+mX54/ri+7b9jvpm95L2q/Ya91L1se+960jtPveg/qMFQQcyCYYPORZkFncQ9wFS+DnzXfPb95X/GAdDEQMVfBGHBTb3Fu8W8y8AGBJwHAodcA8U96/f99D71bHtlAwLIjEjCgss5qzGiMLh0tX5MiFZO7M+FyspA4ffl8sl1f/2vR03NM4wOhPB73DXHNWt6SEIICWrMfYnjQ2l8DjdVeDs8GoHUxU2FMMGNfQZ5/zkd+qj9Ur8FwIrAcb6vPdH9/T/kQ7zGVYZABBX/3317vOY+UoCeQhNCG8GIgFO/8D+cgHNBmQLOwr/BI39KPl6+uD+7AKqBCUCgfwf9rbwpPA+84b3ufmq+7n8Vvp2+RH5zv2eBqwPKxNAEMAF9f0g+XP7dAF8B/QJXAhCA1X9tvkg+7wALAshEhIRPgrx/n31A/IG9fX9+AdXDkkNhAVO99bop+Aw4insXv9DEF4XgxJAATvuBOSH5jD33A/VI3csMyT/C8zt7NWM0RPkSAQ0JYw2AjG6FRbxs9OqypzbnP7BJHg7sTfkGqryec+Lwx7RsvGsFgcv+yyfEgXtqdBNyOLVdfNZEuMmmii7GiYDMvA+6UfwagCqDpAURxCpBbL9Kvrf+ycB3gNlBDIA7vy3/ewCQQxrESIPbwMQ9Vfq1OoA9XgF0hKpFvAJP/VS4DrWF9/N9IEM6hzFGo0J5/Qg5FLjZfPcCl8ftiiBHicGHO5K3tHidfbLDR4f4CHoEyL/G+1b55jwMgJnEiwaahRCB334Zu/h7/b24wEjCNsJOgN29x/wTOuh74X3Av/LBIIFWgMNAJ/8XPtE/ZIBmgf/DZEP8wkFATv4pfSE98r/VAnSEB8QwAcW/FrzIfJU+xYHyRGAEroJlvzl8P/shPQnAPALUg9eCB35j+kU4vLpGfmOBwkQ0wwGArf25fDs9Pr+EgtyEygSTQpk/yf5qPmJ/qMEMwhTBj8CN/+YABAFuQhDCSwEcPvu8xHy/PmCBzATJhjCD9L71+fT3PjhevSrC4sbXBpWCtbvFdng0gXg9fsmGpIqeyalEN/zSuBi3pLuwwfDHc0kdxtvCNrydOf/6MP2bAgZFPgVow7IAn35uPeJ+XX/WwVqBR8D+P80/DP8uf5IAYUAo/uV9Wvxf/F/9q39AARKB8UFsAC1+mX2c/e0/OwE3QtkD2YN9gbB/Zn3rfWo+dEAUwi7DHQMaAgDAdr6Zfg7+av89AHnBv8HIwdoA4z9U/iE9l/2Tfkh/SMAXAFV/1T7vvlK+Mz3bvhU+Vn7wv9uBFYILAsQCqUFRv6g9y71HvlYA2sOYxVCE0YJ8fro7yTtTPP4ADYOPxVaFAEK2/zo8b/tEfKq+4gEvQqdC60HzABr+Lvxh+5F7MfwJ/lpARwJ+AzWCVcBA/ZY6/vpiPITA6gVOyCKHLYN0Pd75pLis+ziAMkXKCSbIJwOQ/ZB5FLgUuu9AUoWMx8xHG0LWfgI6i/mdu63+9MIUg/yC7cD+/j+8SrvJ/Ah8tr1w/ucAgoL6hEpEaYH7Phl6uXjBOzUAK0bUi3dK1sU5/CS0tfHzdm5AaAsRUWoPWcWS+T3vPG2KNVHCnQ75FCmPAYKDdF1r1q1ZN3MFDc9GELVIlfwWsWGtjXLNvlPJmI8sDF/DAzmUtKd22v57xsoLUolngn06eDaOuNV/swc7Cx6Ij8Es+PJ0Uzahfm8HpI1NDIFFWHrNcoCwzfYaf95KDI7SjCjC+ndm7ultpzPj/qUJGg9mjlrHXX0QdCawZLPgPQXHyw+iUOnLe8FRdrcwFfCTeACDYo0W0d3O4AVTug1xra/WtcoAccqbkDlONMXQOztypXBgdQz98QXwic3H8gE9enG1wfXGOk0AgYX7yCtGFMHovns88L4/gSdCg0L+QWb+7v1qfey/8cLwxNLEagHefjb7nPypPprBx4UShWtDo8AH/Cr5xDpFvLC/Y4FygO//BrwCugS7CPzpfwbBYIKNg6xEtYPeQsMB+YCPf5X+pn1OveS/skH2Q5ZEbsM3Qak/jP5+vha/lQGDw/KEB4LAgOI+HrwkO037jz0gPy7AXYBnvnf60DgZuKp7qr6KAb7EtoebSeTH7QI+fPn5w/nnu5L+kEJ9RjwHXATXwC08W/vZvrHBcQUyB+5HAcPP/gq5NLfb+kF+W4LJBOjEksGGu+n1W3GZcck3RoMMSWzKcwn8xixC3L9AulA6Yf6kwjaD7YJlP3Y/LH7W/vYAxQPrxrRHDcOmP7++V71Qvem+fX8dQU3CfoCfP7X+3L6mPbk6kjaac7ByxHmLxQSJHUxxS/+I7YQ4OyGzdnUH+vvByYcpx06GqsO//aY6mTvywPMHu8mixsbDDj4weOi3HHk+P+LHe8nUCHxCzPyW9p9yfXEXM9Q4Db6iiluOHIobhqbBFz/0PY25LLmhPm5A64MVQZaBIsOWQ9dCYAJ8QhODfkHC/qO+Hn71v1TA2MCDQZoDBgH1AEa/GH2cvOi6H7e0tZr1dHb+gjbMAwuBS70HeALWPpY2p/MxuTO/oMWZx9AHHEb1hEO+yLxkfTPA9EQgAvFB4YCFv7G+/r5CgT6Ed0VshHcAsHwUeQZ2CjXtOJK63n1+/sKGYEtzhO4BYX7Qf1ACED5xu4D/P4BuQST/0T+9w7/GJQRlgzRBz4GNwE08h3vJ/aOACkM/xNDGt4ckRAg+g3m29li2gbjp/SaBSEIUv9a7x33ywhhAEcEARPwHpgf7f9G3YfbYOa4+yQPOiLoMrcr+QkK6W/ZIeSE+vcM0RzZItMXlwL37I/mo/VeCDcUExTCBAjv7tZaypLTHuf3+x4L8CrEM6MKwPFM5jjyswUoAtD8lAZjBGn/ivpIAYQYAyMFFW8A/O2I6l7vWviLDw0kMihlGIb4PeND4KjrAwOzGfcjqBcP9DbN2blJvn3ZzP5dLcRa1EFCBn/VXcAP15P1CgswJjgtFRwc+uDc1ePAAjgagiGuFlwCtfDN4Inm/gKMIm8yfiOaAmPjrtGv2BP0TxVEK3ojFP3B0Y+zV68/ykP/+04rcnZFEAmQyQKxz7+U1ugFfj5xVMVDaQpL1sXGT9Le7NcSJy4bPMgsYQSq4fjSmt1R+ZMTayb9KM8XL/0i5ADY5Nst5kDxs/2m/uD0KuuO+5soiB86AmruCeRW+OgC8P5nDr4ZwBcSBVbjhN4j9XMNEiK2J2gdCw2H7EPS+dS87AkXdDjVOhwoVQJ72ujDhcOF4JkIXSagLCwUseZovTyt89ueJCg6TDzWJccFI/Pz06jDJN2yAwQsPzq/I2YP8vrh6Yfm1Obr980QgRrrGjoQjAEd/278DfiC+Nr5cf7rBfoCvf89/EryE+tT4fLU5NQT5fkfP01INGARI+eV1QriiuMZ7zwPgifxNIAiK/r35MngMOth/xgM6Br0I/cXWwbj7znj3u5W/+MOURpaFkUN4/w651re7t8F7Q//VwZ0Acnwad4C938WcQ/zCWwAEAUZFjoFY+mP3Lndp/2/GRAlry3MIUEJYuthzIvK5OjTEbk4SUS2LMsJzuAux8XI6+EoDM0vpjkWJ8b7oM8Dtiy2D84K7oURMUXTYSs4zvTDufqpetRS/xYfGTS+MoMlkwjk293J4daS+AAhKTBiKacZdv7k6k3hud8H9hkSOyR4JnUSmfjU6HDfquTt71v7hAIOApv0FeUO2PnxRSMCKzYZsPm84XLvpP3j/rgCEAKEC9gSfgUd+nr3Qv3IDHMO9QNe/6b5J/4DBUsFJAk+DpoNkghT+ujvpvDL98EC5ARQ/2D4DvC86KXhO9wS6jYa/TUfKCEJi+Ug5Bb6hQG7AM75YvcqCHgToBGZDh0FgQIJAMzyw+y+8rkCuxlsIbsWXAZn+PPxqPF78jj5fAP/DUMQQgTb8iLlJt6p4Pve2OHbAtYywz5zKP/6P9bZ2MvrRvp/BEIH0xOfIR0cQQw39ITmKuzA9swBTw85FUYdaBpEC1P23eby5o31fwbhE8YWkhOVCgb4ROP81BTVB+MU9d/+hAhwJNcx5hvH9rLQScxc7asM6CCfHqEOEgfD/qj0wvHm8Df+xRHvGBIV0wWo9hT2RvsSA8kI0gsiDoEM6AMH97jtQ/IN/i8FsgRn+DjsH+Vq3BHdCPeGJvg8HTE7C33fF9TV4DP1iAgQEN8WTiCjGU4JrPEq3sTk/fpxEkwkPiByEsMB5ezk5Yjshv2GFw8lfh9GCiHsgtoA2sroqv9dEOkRSgLr4WPL0t1YCnUndjQsHykCcvLr5DXfC+Nj8EUSrzH4ODEmzPtT2NzRe+EkA70eBylZJ74Upf1r6CfhMe1ABJAaViFnE0H91eo94qXmA+/Y+MQA/fxd757rGQTEFwUcSRKk+cby5/ap+jP7ofQJ+B8LFRvwIhgVffrO6SHnzfPqB9YQzhUoFToMCgMd+ALzmPinAHcIvwi3ATT9Tvu9+hn5w++s5r3hX96/5coGfTHfPK0scPx90ujKQd6q/mgaPyELI1kXIAYc9RPj+OMJ+EoR5iasI7ANMPer5wvt1/udC6YWYBVoCwr9/O2P6tbwCQBaCmUGw/dc5CbW7tMP5D0THz3IPz0iR+pfx0zMtOh8Dm8j0CRhHn4KWvh051/eD+39B6Qj1jCcHij/luKv2zHqkAO1G7AneiIvDlnyFdx911PmiP+EFWUXfAej67jRZsl63gsTYDmwPg4iwPF916TWdehkAIUPbxoiHr4WewhK8iHkJ+q6/b8WISLNGBoEuPF96TDvEP9cEBsdIB1GDoz2Tt8P2O7i7viID/sX2w5u8z3R5b8d2K8NBjUBQzwqWwUg6hXZZdaI31/0ihdvM048JSbR+jTXi81f4U0GcSIlK3keyQl08z3oDevk+dMNkhqIFIYCputm4JznOvekBx0NggDK54PPZsxO8qQi6Ty9Oq8W4vGp2ADNv9Y57NsOpTJMQC4zvAhQ2lLDAc1v8lcb9TIEM3gf0wHI5TvZRt4e9jgR5yGmIRQQkfgv527freHt6NT0rvv9/TT4Zvl1DWoXWxElAyXt0PDf/CYIyQtKAAf8Ov6BBV4OKAscBvcBCP8VAAH9z/ms/SYFZQw5DhEHBgHa+2P7l/yK/Aj91v0Z/I36wPaw8knx5e2h5QLhlu0QEEgkVyfVGDoAIfcd7oLlm+Iw5xoD3CMQOYkzIRKl63DR186x42EDXSTZOT44Axx78lfOKMYr3FYDUyeqNQUrHQ9T6brLsMDBzFjsRwrvFlER6Q20EdgGD/ix5//luPsRDW4URgxBANAAAwJ4BOT9vfbC+EwDWA/VE08O9QQQ/tb1mvBA8J37fg8mH2MdPwvC8y7jwd/15lfzzgBiC+0HjPZk3UjRZ+4jGFIs3ir7DSP6OvCu6Gjph+9WBD0eoiWuGBD8Cenk68D84A6QFhwSKAoA/tfwyOxe8zUKyR4pIqURiPR/4Kfd2ejz+2gK5xHyCwD2q9hJwjzLTf6NNKJBKDS5Cdfrc9u70fncPPe5HmU5/TB4D43oDdhA4n74og/BHpgikBrdA6Xp997I6AMEmRqjH4MWCgZb+FDupOa750bvv/nBAOH8MvSZ7Cz09QrvFeUHrPxV9bkEthBfDoAGM/2299fwrelJ8V0J1CVKMeciXgOS6PnXqNoG6dQJ1ChRNhgsbgkL6P/WONeG6m4DyhhoHwARXPY33CTPic+Y3aj5aSQAN4InqgwP8dbteu4Q8S/8SQrDFvIP3vwN82D2tgetFNgWZRWNDDP6rOcM4fLtWAqVIjkqBCBYCb7sddnD1rbpKwgoHssgDQ5z8R/VRcRzyBvnyxlLO3o2rh9dA0bucN7I1VrmHAQSHCwhIxa1DQcGrfsi8ZbvOPpNB/QLvwu8DigPognW/Zf2zPi9+xgAbQPCCbkLKwSd91rv2euQ6mDnpOew7d0B4hWkGyIRdA8AB9L8Oe7D6Ev3AAfxDmkO6AzPCXYBC/gn+VkDmw06DTQHqAJg/gj8/fcJAWALEg2BBzX/Kv3m/Y/6rPvn/CL7CfOC5xrl5ugy7WX+7Q/kGxQR3gS5/sb48/ah9yUD7w3sC14DzP4K/Jr6Efo6A+ARghhxFEELIgGS+GHvBO4O/F4JQBNhFTgR3Alt+VHtN+yB7nf3LfsDAar/1vRF6tHnzPFi/68DnhG4HNkZuQyr/cn1vvCc7AX1zQSWDbwOnQqFCE8EH/73/8QIYgzeCIECAvyD9131ZP6HCR8SLxBcBtH5yeu65Evs4PuwB18KswAq7CfeFNzW68D98RqlME4tsRt9/iLnE9yP4IH4mBGFHgQcZAwu+1PsfevK+1sRoh5vIZ4U8P2A6sThzOru/OQQbh2XGSUIJ/Gs35PeR+fg+yANSQ49AzXuvuF/3f/iUP3nHBsrpi2lHdkF8ut73snjn/MfBP0TzBe2EEYCgfjc9sj69AQqDxoSVhAFCAABb/uY+fz7G/4BAKb+6Puw+sP5s/wFAPL9d/fs703nG+gO7ub2HwVwFoAXTRcJDfQDlfoH91P7KwF3A54GDgNl/xj8pvsZ/zYCrAd8CVQJSAjvB8EGrwb+Awv/wfj483bx5vSt+zsC/wa+A/z7zu4V5WfgFOow+j8CXw47FCoJ2wXs/+cAvgMfBzMM1wmQAgkAVfr1+rj+VgGNAun/8f/mASoFIA3CElcRFgop/sjxHuzc8dr9/gnzEKwKPPyN6TbdjtxA6Ej8vQyzE/4J3vR/7Fjl2/CgC9oeHyrsIGcKHfJd4CzjSvXkCn8cbxxSDPv24+Se5S31ZA68JWgpPBx9AXTm7dnh4AT5bhI0IrcdfgZd6b/Ss86f3RP2HxD9Gz0XZAHM8PDlDOa1+8QNzx4WIrQb0gxp/Ibx9u5w7kz2Tf7eBmYODBGxD6MIaP0r9pnwbvYbBOMQ7hllFxgKdfaE5V7fKeVO9c4FTRCKDKr+/OnD36XgXeqj/rISkBcXFbQL2f48+Nb8wwY/D9wT5Q2cAOTzeO3n8ML8fAx5FK4UYQoz/RH0N/OM/jEKTRT5FG4LH/2n8dfsZ/B5+G3+QAB7+9H0uPC/8TD3jv5TAGL5OPrJ8u/6NwujFcUi0R35DRP5+Obq44XsygGjFjEeDBuEB/vw4+QG5AP0JQuQHNIlqhyhCkn3kujO5w/x2/1vCpgN0Qrf/iXxn+di5F/o9/YUAngJ8AehB0n8N/nE/t8C4g9qF10XfQ4iAcT0n+wT8X3+xQkvFJQTtgeK+QXv5OmR9r0JMxtWJGMeUgkp8bjfH9zJ6L4CxRdnIBMX6vzg32LNcM4G41IDuh4cI4YaUwLp5Rrjc+rrAw0gdyzOJTkPNPMA4mbhkPR5CpwZghqxCs70ZerJ60T9MBcQJdcidg+e9EngXN7E75kK/SD/I28R+fBq1UrJ/tQx83YRbCVWIXEHa+j32ivWZfI/FVwp+jGEItcDsexH4sDqffxZD/sWygxQ/qHx1u3w+FcN0BWoGDEM0fiN7H3vuf08EsgdehqwBT/sc9m71UTmvgG2FpYb4g8L9grhLdiO3K71GhB/HTYnahyvCsL+P/ZO9K76p/9QAjgEzQfOCkkL/wpOAoPybOof6WL00AttJR0x3ig4D17qYMxPyRPe3gLYKLA5CyyYB/nai7oLtn3OqvtVI8U67jDVE3vxM9Da0rPlKwRYJ4c2EC7XG8/7teOe2Jbcb+0XA6MUhiBYHqUXHQk9+P/uFesR7Af7BQveG4AkEB9/DF7vD9e5zFHTx+0lEfEmzyrCFofy6NCVwx3Kw+/RGbwyh0BDLIYJ8e1C23baBfGgBKcVLRl5EjMGRfyO9oX3L/bG+A37cQB+CfIX/x83HeIP9/ZZ3QjTPtvg85YUDiwkKzETwe5VzGe9fMtT714VzC9XLIsaHPsl3pPf2OygBKUgFChHGyoMNfZv6lPsBvXi/pgEbASlA1oBgQeZD9URUw75BOHzMOv77bL51gwyG/gaMwsO8rbdn9Xn3rD2SA6wGOgTQgKD7HrcHt417ZIH+hb5I/IcWA+z/9T2MvF69mT6lAAXA/sE/gYeCLkGUARx/vn25fYg+ksGFhU+HJEYtAuY9I7j9N586Ez+/RObHcIXPAIk6CDYc9Zb4z39GBMPGHsPHf3K8DrqQfehCxMaHBzYE6L+wO3n6NXwOgBoDksRLQrk+2zxOfHZ/DwNWRk7G4EM1/xW7rDpUPJZAvAMShJgCjj70e0T6UbsLPjVAa8G1gKl+lTyXewY8Qf2YQScDl8UahVQFFgJgwG09uPvL/Az9nAAPQw0Em0QMwi7+tjvc+/v+LoHOBjtHYsahAna9IzkveAW54X6bAwUGHEYRA1V+TXmY9tb3OnltPaQC3oTERRaC0z/IPSU72r08P8WDgoYqxuxEoMDE/H14/nevedS+kcTaiSEK9ohDgvR8czemtsN7FMEXBxlKncjjgqD7VnWv9GQ4GH8JhmZJhseTQbS5I7Locxy3Cr85hsNLSEtPRzcAEzsxOS856b4Ywl1E/ET1Arq/LfyCe599PX/uAzHFPMWvxBMBlT6C/TM8eX1tP4SBd4I+wc2Ahv7h/bp9Yn53/yU/UT6UvIa6sHrivPyAZkONxrCG3EPIP9g8cDta/TKA5YSghkrEMX8l+kF4Vjn5vxBGFAunC71G9D8vuEq08bcy/a5FdkoEyc1Em31bdw01RnjRP3DFSkdtBJq+3ffBc8s2c3uyAykIV4ntx0CCnXzbOrh74T7qgi7DokLTwFi95XyuPesAZ8M5BKzEr8LcQIa+5j5kvpb/yYCowJUAMj+h/4tAXsE2AVYA8D9NvRC7ffqne769nL/QQgDCKwCTfqG95T9WwhHElMWSxJnA8LxJuYU5+vzcQcBFgocJhSIBWb3SvHX9R4DCA+CENoKvf+h85DvDvUtADoNnhCuCKD7TfB+6iHtTPcpAAcBL/ug9RzxovWP/7kO3xllHmwTZAEE8KrnbesT+KAGjRPRFmMOwQFb90j0gvoDBW8OExNrEL8HaPov83jxUvZq/Z4C5AclC0ILDAY3/wD3+OqF5LPgNuf99aoKmBqLHIQRDvon56/hOu/+B68ixy0ZJUUHSeLXyJTJYObTEW43d0YMNxoQN+QxxqjGQ+O+C7csWzgLKiEKtueE0hLVMOuMBiAb4x8VEvP7LebW15TZieiC/iIPlhgNF5sPRAgYA0z99Pr791T3afhh+ob/OQeiD44SOg5rA0f5EPOQ9Wf+MQrREH0SJwqN/HvvQuoB8Er9hQu+E7MQFQS89HbnuuOa57nxDftmBGoI+QWwA0IBogFcB5ELkApxBR799/VD9FH3L//WCQsR9RGMCzcAV/aX9Ef8rwWmDygSOA2SA572vu3h7H/1CgPJD94TMw27/33vxOJa3/bk/O/3/skMcxHiDusEt/pz+In9CAVjCmIHNQFJ+xL4x/jh/mAGgwzKDacHqv7A+Gb5NAOGDrcTTxDTA4z04OqB6s/0RAZnFh0b9hGu/NHlQNoF3DHq3froBpUNtAztBWz+B/qz+y8EXgvPDLQGYf5W+ZT6Fv5eAD0BHADfAEAE0QgyDj4O7goKA6r6APNz8tH4AwRuDkwSMgyW/ofx1enq68H1BwHOBt8Be/UE5//jZewG/2IRoBzZGhIPT/9f8ULs2/LhAcAQFhYQD2T/4O+e7Fz2owqYG3Mh6BdiAyju2eL45U74Tw5aH4IhgBIF+87kLdqp38Px0gbmE1cSxAHA66jdcd3t6/wAyRaZInojxhcoA8zu6eLQ4ozvIQKMFLcd2BsBEKcCOvVc7prvq/evBDURQxgeFUgLy/qv7S7osux2+YsHrhAZEG8FRPbv5xnfkd6Q6Ir6BA2FGPgZOxI3BeT7o/Uy9yf7agBIBKQHGgkFCh4J2wXyARH+9/sh/hcCcgY0CwIM5wgzAzz7GfVW8gn14vtOBBQKYAjT/w/zpeYw4VriNO/dAHQQ0hg2FZUJYPyy8/by2PoeBU4NFw+rCSgBFfqz+Pv9YQe6D8ISEw15Ahj3efKi9o8Big3UEgoO4wCX8Y/n3uly9lkFpQ4gDDb91ej13BreLvA4CDwc2SLSGi4JiPYe6nfp6PNaApIQrhe2FkkOMgKR95vx2PPh/NwIkxNiFgERNwRX9O/qxeqI9CsErBBcFPcLWfrA6JzeiODC7fn9SwyDETwOsgIz97Tx/vTFAGANMhQ0EZMH8Pv19ff3LQAFCS8O1QsFB2YClAFQBQ8I0gbKAAz35PG79IEBRhEtGhYVVf9h5Q/Sm9Kb6HcKryUmK+AWTPFrz0bC19PT/SQtzUgmQ0Icced+vViz9tAnBx088FcCSkgaI+AtttSy+dXwDDU/xVMfQIgPOdnut6+5y9woDSE05T87Kz0C79jawPvEQ+BCBPkhhCu2IL8HE+7837bi8fLnB7gYfRxwFD4FSPfS8EDzXfzSB4kPdQ+JCoAD4PwZ+pX7i/+tBLkG6QXvAd38m/jF9vv3Wv1PAhEG/QQA/6v15ext6f/tUPpBCS0V2xYiDdX8hezV5JPphfptD28fASL4FZgA4usT4WDmkviAENYikiUAGIABE+t/33Dkz/ZnDScdMB6cEEH71unc493rW/yZChMQdAkw+//uEuv08jABEQz6DhwHyviY7hjuGPikCBEWxxYADI/6M+y56UP0EgbbFMwZzxDzABnx7Oz781cCGw5uEUYKF/0x8/3xI/rCB+oPiQ01AY3wduXq56X3Kw30G50btQsN8gTdDNfw5LsA3h0+LVQnBg+T7xfXYNHm3+L9aB1qLzkvXhw7/YrfP86y0IDnRAmxKS47LjUSGGTus8kTulvJZvGDIqxF60o0LFH3TMVlrBa5YuY7HiFH/0uyLen4xMgLtaHETO/HHpk75jlSHQ71O9ce0LngKP5kGWIkshwXCGfytuf47NX7lwyLFd4RbQU0903vwfBe+14I+RANEvUJmv0P8rrsHvB3+nYFjw4hERAMrAEU9hXseepN8d38YgpqFEYUhAuS/Lvt/ebW6mH4RwmfFpUW3gwc/PftfOrh8V7/mwt2D4sJv/6n9833b/+FCLYMkwZq+ZTt7+v89roLeB3WIRITK/eI3M7R9N5v/gMidza6L2cQi+XPxbTB59vXCAoyqELLMsEJw9stvwLCruJ6D8w0pz40KoQC/NooxyjPae3IEkAsBC9zG678a+GF183hx/nYETsfrxsSC2v39+kW6ZvzhAHiDHoP3ghT/u32vPRP+QgBDgZ+BwYCM/yX+Az6eABABn4IrwQw/Nv0YvS6+jAFLA4GDxUHV/lr7UXrvfQlBoYW3hsuEiH9t+gi3pTlnvv9EzwkGCK3DJrwRNsK2F3q8wWQH2YozRy1AmPnGtnV3jn0XQ4rHqUe2A6S+aXpZOf+8EkAmAsvDecFd/y595366QJ+Cb4Iof8A8pDqGPAOAeEVZCOdHoUHx+jw0XzQj+iXEJs0EkFQLGD/YM8itYm+ZepAJHtO/VM1L5Px87jjoSC5WfMNNKVbY1ZsJ5rlxbBfolHBK/xqNxtW8UpBHIHjnLvNtDvRCgBmK809ITQdE1jtlNT00a3j7/4AFlIf5RkJCmX6/fDy79/10/wdAaMCCAP3A0MGmggQCCkET/za85TvhvJY/HwJZBPeFEUNFQB88q/qf+t49aADExCyFQ0TsAdW+TjuduoD7yf79AhqEq0V+Q7eAeLzP+p46kjzQwEjD+AW0RTYCNT4/eya5wPulfwsDJsWuhbjDGz9Re9S6MnrVfgOCBgUmxZ6D28BuvOq6oXshfXVAsgOQBNAECIHxPsr81vwnPNp+5oEYQuCDtYMBAYK/Uf1fvGX8337kgTFDNoOZgtIA4P6c/Sk9Mb4xf6eBFQHhwZRBKoAfP7i/Rf+vvuo+r74R/s4AZoIugwFDCUFbPqx8R3unfOj/mwK8hGqENcH5fs18cXt2PIU/SYHmw3YDNgHWgBM+jb4tfmK/BH/TQHLAVQDNgYLCBIIKQOX+gDzQu+z83D+FAy7Fp0XwAwp+yrqGONy6a/7eRAoHucdlA9q+Z/lJN7l5o773hC2HYIbZg06+RzpgeUv7pH+9Q0HFW4RtQTf9z/wOPJd+7EFbgzHCq8Bg/dU8l31oP9JC6wQsQyRAF7zDOxH7rf7FQsiFvoWuQt1+1jt9Oeg7cb8RQy0FogWWwxH/avwuusD8BD7rAcZEDoRgguYAWr2PPEK8qv3xgGKCWYMFAsEBPr69fPg8p/2pf8LCI8MjQsIBeD7x/TY8gv3D/8pBywMNw2vBjf9n/ST73/yhvtRBnsP7BENCyb/Z/HI6GDsmPoHDPAZ4xrJDTz5e+by31zq5ABRF3ciixuOBhbtod0Y4OPyTQ2fH14h8REa+h3m/OCB63gAxBJSGm4TlQLp8ZjrwPAH/nUKAQ+GCc/+UfWr8rX4cgM9DBoNhAVT+bjvZO7j9nIF0hHMFQ8OUf4f7u/miOpm+eIL4hgpGuYOkfvH6//ku+sO/BcNlxbDFAcJGvoP8M/vNvg2AzYK1wn1A1781vg2/JMEOQxpC+0BRfTY6irsdfrcDqEfQiESEqb2Jd090u/dOPttHpEzZjEQFlDuD83iwu3V0PyiJRo8+zbhGD3uhM2Gw//UTvkYH2o1SDNZG4D5Udwiz2DX6e7XC48ilynQIIYKxvKG35nZ1uI198gO9h8EJpccGAcE793codmV5qv/pxjZJwcmlBLm96Lgttb/3sn2TxF3Jb4pMBuPAZzmNdcY2VLsmQjyINoqaSIZCuLrztZ705zk8wE4IHAvdCmiDyDtqNKdzIzedQAOI8E16C6DEk3sOc7qx/bb+wB+Jlc51jDvERPq6sylyPPdDgPTJY42UC0PEejsddTp0LDiWQCFG1UoZCNcD034++Vr4k7qfvkcCSoRwhPEDh4Hg/7P+P70h/Oz9MD4FgBYCewRBxSjD7sBjfEC5TzjSe5KAuAWKSNaH8cOMfam4IzYFOEa+NMRUCPbJrsYrgDn50va/9yV7aIF9RkhJAgfew2v95rlMt4o5eX1uQrMGzIhHBsaCf/zwOJL3anmQfzwEqgiziNxFQD9/uVX2mDgSPX+DpEhZiTOFTT+3eea3Z/jTPc/DlscUR24D837SeqJ5OnrJ/z3DDgWkRRcCdn5ku4p7MvyiP+1C1sRGg+zBfb5kvFI8Dz1FP/0B80M3wvxBTv9xffV9LT2ZvtZAQgGHAlYCCMG+ALc/PP33vQA9lf7PgXoDRoSLw6xAxT2juuS6cvyhwNYE4IbExfvBhPyCOSr4iDw1gW+GVshYBgmAi3q19yQ4Fb0WQ7LIQokQxSX+Crgz9et4pT99RlOKaoj3Ase7hvYgtYq6W8GcSCMKYEfSgXi6f/Z6Nyo78EInBwuIv4XagPo7yvkq+b18qMDfhE9FkISygb6+k7yhO/q87X7LgYDDAMNNwkeAsr6gfVE9O74Z/9rBxkMEQu5BOH7ZfRs8vP2FAC8CREO8gt1A+r4DfGK7xv2/wDXC5MRcw+OBcv4cO386eLvUv2PDQIZ7RkIDwv7BOfI3GniRPaFEVslKykdGSD7rN2mzjnXj/QSGcMxqjRaHUT3qNRsxnLUMPiHHq82XjT0GCTzGNQQypTaKPx7Hb0v8SreESXzfttx1nHlgP+cFqkhUhtFCAH0LuYZ5rPyzwPHEJEUKw1P/yf05u6f89z+vgn2DV8JP/+69Kjw6PM1/14MgxE9DrMBDfPG6SDsQfhDCXgVyRcvDvH9zu0Q54rs6/rwC7EW8hX7C6r8afAy7Nbwefv0BicNsgzEB6wBj/yz+rf60fqE+en4M/sLAUwK2hAdEW8JVfjP6Ofgdedu/AMVaCafJsgSU/M91+PLUtkC+6kggzheNM4W7OzWyizCVNer/6onFjw1MqkQeedCy2/JwuGACAwo6zNKJfsEguRu0ivYZPGBEP4lKidNFfj4K+L72kLmm/4QFmIiVh9UC4HyM+GE3kjr5gIdGJMiSx10CpjylN9G2/Xm//13FxAmJCT/D+H0KNzz0rjfoPucGnwtrCpvEpXwENZPz4/hPgEnIfYvdCY9CWHovNJM1cjrfQtwJNgp+Rgm/DvjwtjE5EP9phaII54cuAUD7pTf6eNT+JsQQyAWHk0LbPG74OzfwfCqCloexCIrFXX7cOWC3HrluPx0FAoiHx0DC6jzwOT14/PubwBBD8sVcxIVCM77SfPt7ynyFvff/lcGhwzJDs0LdgPh+BzvHOz98Zj+BAxrFGETVAmU+v7tbeoJ8Ff98wmVEnERiwji/Bfz6fAB9on+0wfRC+wJuwMp/ZX5Y/nR/XcDsAVpBKsAyvvK+Af7kAAMB6sKkwh/ARj5RvJ18ln5tASSDzAT5QyX/wnxXuhu68r4XgrXFwAaAg8V/J7qV+NB6j38MQ+LGgkYTwn79ljqN+l782MDrw/YEnYM6P+d9PTwA/U//gkHswqFB9oBzvus+QH84ADvBBkFigJy/nv71Pse/0UDowWXBUUB+/we+rb7FAAWBCMHaAVfAUz8gfks+2z/TwO6BQQEav/j+7b6Wf0sASQEMwQQAej8cvso/Kv/VAMMBLQCv/7j+wv7Cf6EAZYE2QT0AYr9Z/q++jz+xgGcBD8EnQH7/Xr8gPwT/xMBAQJMAWEAr/+HAGMCnQMjA//+UfpW96v4FQBZCM8Obg6PBgT7MO9e61fxp/91D6MZ1BgTDA34qeVw3/DmnvqmEpsi0SMDFW37GuMp1tnb8PGRDy4nAS63IBYEPeTqz27PpOT0BWgnaDaxLRAQ0+rtzVDHt9n1/MMhnjcCNUwa3fS61JDIjtWZ8xQWwC0vMZUfsgHb5ArVe9fd6U0FSh0gKJ8j2xC5+CzkhNqU4ZX0QguUHZYiSRlsBWvvvOFb4lTvuwJtE4EafRRQBvz2cu3b7bH1ugAiCPkI9QUvAZH/ugBxAn0Clv4b9z7y2vL1+wgJEBU0F4ENafu/5w7fK+Wt+GESeCR7JcMUN/mB31TV1N0J9yYVVSkKKyAa5Pwh4m/Vbtuk8cEN7yJZKVEe9gXR6/fZc9i26LQCexsOKZUkiQ9D9GreMtcO44T7XxVsJbYiJxCz9r/iqdyo6Ej+RxKzHHoX8Ach95brZutb9S8CBwvyDA8Gvf3X+CD6AACwBTQGKQF++TbzWfTA/ZAJ7xI/EhIHZPby6SjnmPJqBiEY4B5LFZsA1+oT36/kMffCDxgfMB//DiP4XeWs4X7sawHrEyMbWRRdBJXz0Opg7fr35wMsDBAMFweF/7L60PrX+wD+Nf2t/Jv9bAHHBXsINAiKAbb4svFw8cL4/QMwDjkRJAsn/5Lzgexd8E37EgjED0sP2gbO+wf0dvKs+BsCwwg8CtEFvf6O+eX50/4hBTMH0gMA/dD2bPWK+/4Fow3kD5sIQPsn71jqLvFEAXMRehkmFcgDLfCt47Hll/WaCz8b5RyADt73NuaT4W7tzgJnFpAcHxNw/irrC+Sm7EsA4RO+GqoRbf6v6mjj8OxUAUIVqB4xFoH/w+hG3VTm+/1sGD0n8SB2CBbqe9Uc1/HuxBDDKqEv8BvH+MLYgcxq2sn8byB4NJ8tqRDs6sbPZs0044UIhyjMMzIleAMb4V3PUdZw8tcT4in9KEsTiPPu26/XKen8BrAfYSZRFzP7M+Kt2NDl3gGCHqwr4CB+A5ThYs2T0jHw2BegNdo6wiGy9pPNtbs+ymT03SVJRnxH3STI8P/BI7ChxG31syuuTflK8CTA7v/BSrM6ycz3qSn9RDY/axwT7pTL/MJr2GD+0iKCMpcp+Qxs7J7YIthc67sF2Bv/IW0W7AGw7QTkbuh7+AkLKhaKFicMh/qM7PbnK+/B/koOkhaLFAsHo/ft69/o9/BeAJ4PFBjlFJ8HYPdU65LpRfOFAj4RghfoEZcEC/VE697sovcPBvMRtxP2C4P+7vLt7kf0PP6mCI0NDwu0Ayz78vYG+Cv9pQF3AzkCnv+H/r4AdgINBf0ClPwh97j0HfkNA5INCxHlC2P/WPH/6KXszPkiDKQYFRmTDAH5ouhE5Mnt4f/gEWQaYxU4Bqj0HOq06xD35gWKEI4RnAlT/g32k/SL+UECegcuB04BoPrH+LT75ANJCxgOawgn/bfxnexH8mn/1w65FioU2AZc9HPnSuXQ8J8DChWhHNkVuAR98WjlM+eD9F8GRBRkF4YOx/+G8bjrDPF1/AQK5Q+vDNAC/vcd8lL0PP0wBrkM0QoKAwb5BPN082/7/AYPD4QRzQnL/ETwxOuU8V7+zg2BFtUUnwmY+XHsKeiv7wn/Uw9mGFgW5AjJ9oDqeuej8NMAiA+4FRYSSARs9Tnsj+zQ970FWRDzEsEKCv3i8IfsU/Jf/1sMXBNxEKsDgvUK7D/ssfaBBbgRohR6DX//YfEp6+fuqfrOCVkSqRKeCTj86vGe7w/1RP+2CFkN/QqLBMT8J/fz9lX6NQAwBbMHQQcPBPwA5vya+RD4xvjC/ccEywvbDNkIZ/4z82Lske6C+p8Kahd2Ga8N4vm45ofeMOfG/MsVJSSnIVkNuvFu3NnX4eWfAZgbXigzIrALMvBr3ATZm+dVAdUYbiT8Hp8MT/Vv48neZugf+5kP0hyrHAkR8f4m7Ufk3een9csHMhYXGmMSZALd8TXp2urL9/kGMBIwE3sKvfu98EDuA/ZLA0YPoRG3CQH79e1s6XXxvAFvEg0b3BRcA/LuruFM4i7xrQhlHMwj+BlKAxLqh9m82o3spQaYHusoAyElCzzvgtoP1qXjWf2UGA0o1iVGE1j4GeGG2BrhRvgXEigjqiOjEwn8eedX32To+fpxDmAYhBSkBwf5ovDa8ur7FQbqCagFa/xw9dL0x/ybCFoR0BATBTb1Mufe5PzvJAXxGIwhfhpKBW/skdqk2TTr+gbmH3sqfyE9CTHsgdgL1rTmMwK4G2wo0SIeDU3zHuBi25Pn+PxrEdQcPhvUDqP+0fDG6ojuxfaUAYoIkQyeDJMKbgWq/1X4q/Bj7ubxBfxkC5sYehycEx0AX+ll2r3b9u3wCh0l0C6PIl0EpuJ7zPjN7uYoDWwu7Dp5Ku4F5tzfwyzGIOT2DgAyUz4rLT4Ha95zxsPIeOSnCt4pDTQoJ6EIqelq1ajWW+heA30ZLSM6HmgNCfr36izmMOvl9ioEYA4IE6sQagoSATv5FvPB7xnyGvjlAhoNLBTlE1UMpv0N7sLjO+Vp8usGbRllIhcckghV7x3d79mC5yL/kheqJVEiWxCn9mDiVtuf5PL4DA5sHKMdvBKAAXjxZeih6AXxxv2ZCakQqBJyD4AGGvxU8IfquusY9VIEBxT/Gy4YwQhA9C3k1N+Z61kBvRfmIkkcUgiN8P/gAOLn8WUIFxlVG9QO9Psq7EnokPKgA6MR9xNUCnX61+0L6yP0EQTXEeYVzA3p/ibv3+dD7OT5MAqSFT0V1QyJ/iHw0elN7Af2KgPBDn8UJBKGCVz89vDO6hHsXvYPBKYRfxfzFAQJUfjU6nnlTetb+88NiRuZHKcQHf1p6XnhH+bw92YNlBzhHpkRLvxN6P/fOOhE+2gRAh0mG9UKVvbR5uLjl+6LAcISKRlIEyUD6/N/6unsm/emBLwO3A9vCoH/dfea8hf1/foKAv4GwQd8BeQBhf78+3j6J/uu/OX/6gKUBVUGNgRDAML7ffjo+K/8KALYBrUICAbOAG38svlY+6T9OQBpAi8CywBjAfMCCATxA24AxPrX9Y/15PoXBFkM9hCNCxb/bPFB6Z7spvmeCp8X0hj8DfP7k+vd5Lfpv/m1CqgWkxgBDmr+uvAV6RvrHfbxAjkPWxUMEi0IsPmo7IjnY+3D+ogM7xgzGpkOqPuh6Q3iAOlc/LISTx/xHCcLi/OP4sjgcO/BBuYayCC4FIr+mulf4DPoOv3tEnUeLxlEBrrveuFu43D0vApPG+ce3BGL/A/oJ9/N5Z/48Q73HTAfURKU/Jvo+t0X4vDyBAmFHA0kOBzDB37uN9xU17HjEP39GOsrtCusGNf4a9qAy3/Tq/C7FakyUTlUJogAldlsw/TIjujUEw42vz/UKoAC2NjmwurKO+wNFXczrze6IDz7FNnaywDYdffcFzwqMSaBD8Xyt94y3Zjs9gSqF9QcDBLv/mLtkeZc7b39KQ6bFr8RIQPJ80HqT+yi9w0HexJLE7ULgv358NPsCPAD+zkI0xC5EVALWgBx9fzvd/AA99MBywtkEesPgQc6/MzxY+2T8F773gjSEhsVlw24/5nxTOlG67L3iwfSFMAXRQ5h/+HvzefG7Dv6RwrAEzoTPAdr+Q7vWe6c9ssCpQ3VDuIIiP1k9E/zGfngArgJrgkCA5n4WvKb9Lv+OwqKETgOcwHD8lHqqu1K/GYOJxqaGMEIDPMe497gqPBqCbwdnSMoF+X8WuRp24Hkev34FuAjNR6uB1vtgN0U4WT2zxDhIKcdrQlN8JDeb+Ck8zEOLyFtIRUOR/N+3bvaeewnCCIhJCgjGSL+gOPt1nbfevZxEVAjmiM0E/D5jeR/2/7jUfduDkUeQyD8E23/G+sG4Obj2/J+B9IYFyC/GDQG3vHP4xviiO0NAskVwh6iGaMJo/Uz5hrkmu7+/zgRwRh9FXYIG/lg7qfsIfOw/YEH7gs/DMwGKgG6+7D4Dvev99f5uP5dBTMKjAx8CWgAPvfe77LuhfbHAhAOPBO2DlEDxfVZ7efs3fZFBNoOnBHGCw8AtvXa74TyrvtaBlYNsw1hBtH9dvbU9BD5kAAXB8QJ7AarAAz6xPfr+cQAcwYoCUEGQQDX+C727fhxAD4IMgziCCkAPfZt8APyL/uCByQRNBJlCaL71e5X6pDvnP0NDUUWexSFB2L4uuoi6RryOAIGEYUWjxDQASbyBOpO7Xj6IgtgFTsTWQUw9AvoF+pK+cgO1hx4HY8MX/O43arY2OnmB8AlzjFJJXQEBt/mxvLKBurDFdg5YEIPK+T9rc/9t7jCButYHZZC9UfNK2j68ss3tffC8etZHixB1EUhKfP5uc1suX7GJu2WHNI9FUCPJcv49NDbvz3NZPLvHA03iDZNG/Hy2tIWyeHawP3KIJ4yzyr+DqrsIda41FHoxwZvIKso6ByHA5rpftzw4GT0oAwBHTMfZRIq/qDrZeNl6Zb5pQxMF5cYCA1t/dDuf+kb7gr7/QcQEdIQVAhC/Lryu/Bu9QYASgibCwQJOALi+VH2C/cJ/dwDOganBRoBzvyp+oz7Ff81AugC8gCa/V38cv1fAb8FIAcHBMj9Bfcy9Ub47AAXCigP2wxABCj5vO+Y7j31RQGIDXETUhF3CIT7VvEZ7ervGPrxBSsQHRQWEbcGIfpa7t/oausp96MGnhXgG2oW4QY08iXiWd5y6d3/9BcJJoojjA/l8zLcI9T+30/7tRjzKlkpFBQ59oXcdtOZ3n/4YRVgJ1MnoxZx/AHlLtrd30jzJgpoHCwiFRo8CBr0S+UK4vbpBvtXDRIb0h3uFFgDiPCu4wXjhe4vAXQTrx7MHPsO9foB6IPfF+TR9HkKIhyXIcMYzQRB7W7fvd0A7T4FWxpbI+8bkQbm7Tzd2twU7vAInR1cJcIXUf6f5oLaauKA+rAUIyWdIUALre672f/Y0u2tDfYmFixMGrH4YduM0FXeT/7PIFAygSrNDAPoOM8k0IvpfA7dK5oyvx98/bvc3s8p26H4GhjvKSAlfg5L8XXdK90i7qAGjBkTHQAS9fw07KPmA+/1/1kOpBOnDVH/S/Pl7gH1mADPCz0PSAna/Sn0TPGf9tn/qgjuC8UHVQAN+Wn2nfo0ARMGugVDARj7Yvlh/KwDrQqEC+YEVPpw8DrvdfeSBjkU6BjpEKv+h+tc4HflgPk/Eu0ifCNgESf12dxl1eLh8f45HaMu0iiTDtjrytO8zwDklgW5JFIxDyY2CA7nWdL00zfqYwqSIzwq5xxPAvDoytvy373yQwjNGCYcYBInAg709+tS7nP3CwIWCuIMDArcBIP/Zfrv+Hv5pfuA/6sCaQUoB2AGXwOX/+b7Y/lo+iT9mgB8AwoF1wOKAskA1//9/pX9EvyO+r36A/53A98IPwteCMP/pvXg7QLuH/lDCBkWSBr4EEP9m+hu3IzhsvctE2snIylCFaT1bNj0zQjctP2vIZE2MjDyEf3pa8tlxpzdTQYyLEQ95i9UC+ziS8ityJ3l0Az1LdA3QSaXA9fhr87c1ELvDw/OJo8qohne/qnmRtsg4h71AwveGqYc5RF8AG7wuOYU6QH1hQS8EUcWExGeBHz1Z+ss6rTyjAEjDyIWhhJGBVz0TOno6Lfz6QQ2FOcZ1BHfAJfukeRL6FP4owwDGmMb7g5H+gPpNuM07Hv+DBI/HJIY4QkQ9qHoROYo8G0BfBCoF2sTagfl+RTwz+0y89n7IwUwDL8NZAsCBgX99/XT7wnv9PSqAD0NfBdfF54Mavqy51feNeTh90UQmiLsJQwXnvwG4pXULtsN8ycRcSdVK8sbp/805FnVxdl67qkJniAJKX4fVAn58Ibf2ttv5p36hxD6IGIlURoXBL3quNje1vTmuwP4IGkxHSzwElXt3M/zxqrYgv5WJ9o8KjeTFXLoHMbqvuzWlgJJLWZB/jU4EdTjwMX/wvXc3waoK3M51SuxCezkvc6X0CTozQg+I4IrKh/DBTfrQ9vt3eruQQYMGRAf8xcNBp3yuufo5pHxJAIhEPcV+BFfBuj4BfC776X2GADdCHAMOgpPBDn9A/qV+qf9dgCP/6b97vsA/RMCaAmIDa4KDwCe8dLnsOg89n8LOx2XIzsXaf0N4XXSqdii9BQXkDAWM3Ec8/WT0nXDltKy+Psh4zpxNwkYhewpyzbE1drMA/ko9TjzK7QJI+NfzWLS/+5yE/cr5CylFR70A9rf1A3oKwjYIykt7RzK/Bbe2dCR3OD8DR/rMm4sCg7p5w3MNsrF4y4LWi2qOYopbAUO3xfJC8zy5yQMtSpoNOAl8QgU6b/T29KP42D/SRqyKd0n2xUi+2nh7NTg2IzuagstJEwtGSPvB+noR9Te0sfnqQdQI9cttSH3Bb7ocdit3Bzzkw0PIHwgIBBL+FPnD+XS8oIHFxewF3UKd/ac6Anp0fcgDF0bABtnC6XzJeKj3i3ulgZqGxQjHRhHAXfqB99942v14wqbGIgaDA/G/0nyKO2A8FP5QQFNBewGrQZLBvEGYwWY/3T3hu5T6+nxawHUEy8gTx7UDJzyP9z61ODiTwBqIHwydC1bEf/rANBMygneEQMhJtE27ywND7vqN9HzzprikwNtIQQuGSYBDqvwd9zI1y3kHfzFEichDyGUE+X+JeuR307hiu/NA+YWeCB7G+8KIvXa4ynf+Oi9/QATAx5cGwoMbvg46G7keu2a/Q4MHhPqDysGQvzk9gb41fwuAX0CvwCG/bz9KwAxBaMILgj8AcT6jfOX8on5xAONDdkQjAzmAdj28+/l7zL4ywMODuERmwxWAYv20+/P8Hj5yAQQDf8NBQhv/WT0vvFW9m0ACgpwDvoKLgBn9aXvDPP//UYKURI4EFYFCfY36z/rf/XeBuQUrBeADgj91+um5dXsjP48EcobOBfNB3v0y+al56v0Mwc8FvcXLQ6l/S/vJuu78tX/ngwEEk0NKgJs9nLxxfTx/eEGbQvkCEsBNPpx9tP4Nf/QBBcHNAS7/rr5T/gI/QQDZwiXBwUCa/lf9CD11Pz9Bu4N9w0TBdX42+5v7fb15AOTELAVZw/b/5bwG+j761X5JgpWFskW4wxe/bjusOhq7pX8DAysFMgTpQkR/M3xXu+S9Hn+SAcyC2kJ1wRU/3f8Dvwh/f790vzs+hX76P5rBSUMfA3eBo37sO6D6I7t3fvVDx8dah3DDqn2COEG2VvjU/xEGS0qIScyEMrvcNad0KXiMwPvIxkynSdiCPfkws4D0cPq9Q6MKw8ybR+d/TXchc7e2MH2UBnmLfUrQRRq85vZHNTL42P/ARxCKGohwwoc8Y3ggt9m7UACmBMYGmUUTgdC+IbvIO6+8qn62wJcCSgNxgzMCJMATveq75ztpvJ+/uELtxV9FSgLK/q56VLk5esS/iAR4htOGPAHRPO35Ovk8/P5CL4YNBvTDbH4AucK5PDweAeBGr4f7hIa+nPjOdsU5zcBzB39KiIjtgf95l3S+tPU7OEPWSwCM1MgD/1624DLBNWT8jIWDi6QL8wZ2fmj3fLS6dzT9ZIQYSLNIlIUHf+G6/biOefW80UF6hCcFQcRuQb6+hDyM+6Z8DL56AKMDIMPFA18BTn7j/Iz7/XzEv7qCooSkBGCCFL6Se526wPyJALLEIgXYBJNAxPyiecW6gn48AoLGIEZwA2i+s7qeeUr7tv/yBCjGO4T8AXH9KHqSOrt9HMDtw9cEp4MzQC49GLvnvFt+REEHQvXDXkKxwKh+VTzx/BM9TP+kQiID5cQ/whQ/P3vnOkG7mb7ag0EGlYaSQ10+FrnyuAi6ycBQhZaIMMa8wXs7onh0+OK9RANDhxOG+gL+/SZ5i7n9/VbC6kZRRhvCOjywuMH5/341w/WHsQbpgYy7RXcPt959Q4Toya6JZIN0uym1h3W1+xQD6Ip2yyWFhDz7tSlzm3jZgnsKV80vCHi+5rW5sYW1mD80ybnO9wyAA4j4WbD5MRC5ewThzlDQc4o4Prhz3m9cszi9ask0z8vO70YpOomyZ3EvN5EBxMqvjZnJvYEbuPi0zncxvTpDt0d0hptCkT46O168K/7aQZhCcwDPfpM9dP4oQMRDrkRmAlV+ejpcuSJ7s8DJhjLIVcZUwMi6vPaYt4k9FYPuCLmJAATAvj64QDcqek/A5oaZSJsF8X/i+mY4BLpx/9nFwwhKhj+AJXnRdw85ST9pxlHKJkijAlK6tLU39Uo7cQOYykcLzUdyfz93R/QoNkz9QQU/Si3KJwViPnN4oTaBuVX+W8OGBvdGAgNFPxY8N3sj/Ll+9cEEgnVB34D+/+c/pv/2QB6AUP+V/q99vj3oP2jBjsOkRE5DU8BTPN66M7nDfKJBJIWCiHgHBsLXvM+31DYBuR8/CwZ5yv6K7wXLfdU2T7LodQ08tUWkzLQN54jbv4A2SvFOsvQ6sMRsTBhOS0nSQNU4JXMytEE6uAJRSG+KNcdAgms8s3lTeTz65v48gNBDEQReRLhD8wHEfve7D7jHORz8Y8ISB/SKXgi+QmH6ifTEtD94voESyUgNGYrWQ5j7G3Tgs/b4XcASB25KjgldRCY98DkOd1E5Y31mgc2FZIaJhZ6C8P7lu125bTl9/BTApkU7h9iHUoNrvW34PbYWeMb+4UWcihEJkERfPI42lTUZuRqAjgeLStzIUoHaOnw15PbDfI/DqgjNiVHE/H4KeL12+vn6P9MF5kh0BqWBgbwdeOn5Y713wnpFqgYIQ3F+5nvfeyS83H/pgqjDREJTQB++Lr2Avu1AAUFWQPH/iv6VfmF/j0GvgsACjcBHvYz7j3v1viMB7YTpxUnDFf7VutK5aDszPyIDyEaeRcWCZv2Aukp6FbyMwKbDycTng2zAT/3BfP+97D/5AXoBXUBlfps+PL7XgVQDpYPGgey+Gfqk+Xr7i4CRhhqI00dMggE7bTYNddL6BsGzSFhLcgjEAgB6cDT69PK6O8HnSLWK3sfqAQ66cLZLd1O8HQIthqbHcER0//H7+np8O8H/FkG3ApTB0kB5Pzv/BEBmgQHBMX+wff68x73MAC+C6YScQ9ZA3z0d+rp6yP4XAiUFUgX0Qwo/JDtz+iV8IgAvw6qFNAPVwJY9f7tfPB4+64GMA0UDPIDcfoG9sD1rvu5AhAHVwa1ASH94vv//Nn/iAG4AIb+I/wh/HD/GwVaCCMGmv+e9tTwiPI7/LoIURPJFD0L2Pnu6XPj7Ou4/tcTYiDTHVMM8fSI4Xbcdei1/zAY0yRRIAcNDvPn35jc8uhjALMWoCFyHVYMfvX85Gbhfusn/pERdRpbFy8KpPce61LnMO+f/uYNxRXdEh4GnPZk66nq0/T4BIMSlhWADbf9jO7T5wLu2f3TD6kZbhXOBWnwMeKe4wH0pAvNH6YitxSP+Zngxtaw4Q79+RsOLU8oNg/37XPVC9Ka5AYFLyPZL2kmxwrs6SjUtNPA5vgE2SCmK5wjCwym72/ccNjb5OH8qxT8Ic0hBBMt/Y/pTd5v4czvQgNUFnYgox0sDwH6zuXe2wDg5fFiCkEfvCf4HlEIne2q2aDWheWhAKIaKyknJvMQ6vVQ3/3XPOJF+ToRiyHCITEUIv/i7Hrkv+jZ9cwFThGXEwYO+ATL/KD3N/d7+Kn6pfxz/tYBPwccDFwOoApv/xXxoefU5gbzAAfJGtIkiB0YBobpAtW60+/nIgl4J9g0HCisB1ziz8n+ydbktAs7LhQ63yqDB3/g58iWy4Xmjgt0KR80XCZWCYDp39W51UrnXgFHGVglfyG6EXr8V+qK4cDjZe8QAXYSlx1YHn4TNQEh7YrfJ9706h4BxxeSJd4joxIN+fLg5NVt3bXzGhCBJNMo4xoKAcTn9tkd3fTulQezGj8gwxdEBWfyVejw6dbzagCxCUYMhQlaBEYBt/+1/xD+Ifpb9DfzqfcWA4kQlxgrFeQGfvJ34qbfJ+00BdwcOSjBH+8HBuxS2C3ZDexhCBohpiiiHJwF/uyB36biFvGSBNITCRiBERsFPPmg8tvxefXv+pUAVQT2BxUKwQlSBqr+6vWy74XwKfeqA4sOaxPwD34Ea/d77bbstPMiAHEKgRCyDSEGlf2h9of1Dvey+0kBpwQaBskF+QS3AywBz/3q+R73iffv+1cDYgrfDoENSwVu+nTwYew08Qf9eAuJFs4YDQ/I/QLs9eFF5bz1PAvnHb4j8Baq/4Pn5dmV3dvxVg15IuInFBk4/7Ll5tnJ3wj0DAykHd8fbBPe/yLtuOVC6sf2+QUHDwIRRAxbBBX9g/ds9Rr18fev/KgDKwv+D8wPmwhG+uDsVOcO7bP9jRH9HlAdSgy79LXh292+6qgDoBoQJBgb5QNh6kXdk+Ja97wPjx+VHN4KRfN042Dj9PPpCe0ZORoNCsX0S+Ui5df1mAxrHNkb+gnd8AHfeN4u8YcNwiPfJ2MVSfWw2vjQS+F+AckhWzFiJzMIwORHzivRPez6EBUtPzJtHtv6jdsDz9jac/qaGn0tPCifDwnvbdnv15bqugccH1MmIBr+/xfn9dtI5Kf53RA9HpEbQgrJ9BfmeuXy8b4EQRNXFowN7v7e8XDtefIA/m0Iygu2CLkAgvoI+HX6IwATBPYCJQBU+zz63v2PA4UI9QdcAa74FPI881z8QwnqEv0RTAid9zzrQOgF8kIE/hXIHIkUbgE57Lbh9uU0+O4OdB6/HoUPdvfh4yHfd+vOAcIXOiC+FrABpes64JPmwPpmEekeMBpvBlzuYN7f4TL24RDXI70iMA7U79nXsdQh6RELUCnAMjQhZf5n2SbHtdD08oYcfDj9NyIbzvA6zqXFa9hi/9olLDfbLpgOEeqB0u/Rg+fYB8QgrCcFGhoCRe255ITrrvtBChgQ7AuRAbz3svYs/OsE7wluBy//0fTL8OP0vgAiDOQRTQ4xAtf1L+2h7jj3SQP8DL8OWwvWAiP74faY9XD3LfrU/4YE2QhoC18J8wPl+ZHxue638ij+LQvyE/YTtwmt+h/uFeoZ8dX/BQ3EEwcQWAXx+MDywfIo+cgC/wdPCNgE4f/t/Bz+4f9fAcMA7/zk+cH6iv9qBtIKuAkyAUn3nu/Q8cb6kAhKE1AT8gfx9rDp1+en8jgGcxYdG5gQkvuc53HhYOoNABwWFCCPGeIDFusa3W7ia/ZVEXoipSFjDyP0l9+M27TpMwPsG60lvBzmBU3sfN2C31ryPgpWHb8gTBWHAPrs3uM65131pgfcFNMYIRLuAyP1U+wv7H3zG/+vCa8PQRDfCc7/MfVx8EPwefe4AKsJfg8ODp0Hlv3R80bvh/Hy+c4Fyg4sERkM5gCz9EvtPO6Y9jcF8BBSFs0QNwOh8l3n7+Wz8U0F4hjHIbkayAUm7EPao9nc7MwLayfAMTgkaAOw3h3JOcwQ6kQUvDVzPswo4/4p1kfAZMm37EUYwzdnO+sibPoN14DHt9MH9LIW+itlKhUV0vjg4+zeIurF/G8LJREKDlkET/1P+/z7Vf+Z/xz9Nfhb9mv6ugOmDnEShw2TAHbw6OYF6rL4agzLGvQbAQ9C+nznjOFF60YAjBTRHm0X7ARX8K/k8ucl+IQMfRniF/gJ0Pat6D3o2/RIB5UVYRe+DC76H+vB5/DwwAE3EaQX4xCYAc3xWOrU7Y/5EAhOEZwQbAi2/DbzevB29Vj+4gYBCy0JpwO8/aD4ZfhS+yAAogI6A7cAN/5t/En+qQJbBjwHuwPu/BD2ofMo98v/qwp/EvcRzAhA+lztJOg27W/7NA1PGtMcXBJW/23r3t734C3wBwdmHCAmdx/sC4XxDd3M1fDhh/kNFQIoKSqeGdf+gOJR0/DVzemCCOgjJjDNKLwO++7604jM3Npn+uAbBDF1MSEaV/hw2YHMAtjt9LoVDiy+K9EXafpC4bbZ2+Rt+y8RSByBF90H2fbJ7iryn/15CCMMhgX5+T3x6vLf/vUNqxinFVUEAO+p3tDeZvEhDDwkaivcHNf+eN+9zZ/TE+9FEsguKDXyIQX/NNx0yWDQUO0VET8uUzR5IuMBkuCqzXXSsulnCmkl0i5sJFcJn+t31szUA+ZbAbccoClDJVoQI/RD3eXWg+Jr+/oWlSc7JjUUq/d83yrX9eHr+t8VGiZAJCMQpvQX30bbyunYAX0YNSHpGB0EpO2w4XLlXff4CtUY2heKCgX4gOqj6bDztAPKEHAT5AvI/ebxlu2Z8wj/qwrJD/kKCAFY9rLxAvTD/BkG+QscC3EEvPv+9ST05/kaAqYIUQtkB5oASvpS9iT4u/1EA5QHZQeSBND/2/tZ+Zb6tf01AUUESwXvBPQCWf/X/Lj5+fgo+xf/NgQdCBUIxwMt/fP2uvRs94b+5waUDDYMNAXa+sDyhvBZ9hn/VwmZDpAM+wTN+n3y9/CZ9J/9RQjeDosPvwmR/uXy+Ovj7Q34ygfAFScbTBQ3AkTtJOAn4YfycwvfH3YmsxjB/3vkl9bw3Hf1ShTnKS0qlRUD9oXbmNIk4a/+1h2dLKQkkQmZ6gXXuNjT7tsLpCF6JOgTm/l95Azg+etDAnYUoxm1Dtv7fuxy6+z2dgh2E9AROAN48ZzmM+uz/YATNB93Gd0Dg+nJ2hvfCfYnFCYpKyluEnDyRdgT06TliwaKI+gtRiCXAvvjmtTm3TH4GxZPJ5MiAQwY7/Tc8t7n8eYLtx1mHjAOYvfA5RbkdfEUBssWTxncDOr5NOsR58PxMQLqESQW6g5z/0/x7upF8B395AqPERMOZAMq92HxF/MK/NwF/AvbCQYC0fnn9T/4uf/KB9QJ0QUs/cn1dPXW+zgGKQ48DncFMfkV71juwPh4B38TURUwClv5AOwz6UTzmgRBE4EWug2z/dvudupT8a4AUw42E5IMa//Z8ijud/RqANkK8A5uCN/9uvTs8W/3nwELClgMNgdY/R/28vNn+EkBRQkKDK8GRv6O9k/0rfdrACoIggtLCN8A0/mU9oH4Mv4lBHcGFAaIBLL/3P3D/Gv9WP7R/pb/egDWATMEgAT1AuP/Hvzg+Q/6qP1iA4gHVwepA6X+Zvog95L49fsAAU4FZAgpCA4FCv8T+Lrzy/ID+cMCog0XE1EQQAQk9JHnJeUz8EME5RckIFwZWwSA7LHc3N3N8CcMJyLDJqoXX/yy4w3aJePV+1YWASRCHxwLs/EI4SPhCvKiCAsZUxsLD1n7Se3I6jn0TAPvDjoRLQnc+znyevFl+fMFVQ9DDj0EjPZE7XjuBfmfCG0TwRTOCvX6Fe2b5wjuIf2FDEsXtxaXC0H8fe0E51/qoPe5BzcVvhlUE6cEmfKS5VLjiO2fAFETER8kHbMOGfnh5mvfIedM+fYOax1VHmcTsP+u7GviteVk82cGDBYVHJcW8gfe9vHq9Ofm7fL6LAkBE9YVBg8tA+72ru3t6+nwPPwRCCcSbxS5Dp4Cz/Tp6bvoqvBI//cPFxltGGgL1PmW6TzjTukj+h4OzhrKG3wOjfrw6KXif+o1/dkQ4BsPGXYJdfbM6EbnQfOuBDQTTxcLDpX9wu9B7MfziQOXEEMTtQvF+5ruLOvX9KcFtxSkF68NXPrV6T7l/e6MArcU9Rt5FNAAKe6Z5JjoePlYDBoXMhVACBz4+u4I72v46AOPCq8JAwM++wP4J/tmAuwGNgbt/9H2l/I09bX/6QzsFIoRTASM8ivmK+eU9HkJqBt4H10Tu/xE5t7c8OVn/d0WFiXWH1YJb+3u2j3clvFyD9IkoybWE5n1Ct0V197m3wWrIWorzB3x/q/f6dBv2rT4FRsnMLQqBA7p6XPQVNAJ6e8NQCwUMrgccvg=\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtered speech\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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AKIAXwAYAI0Asv8jAKX/O/+e/2T/zf6X/vH+mf9n/tD/v/4sANX+Yf6P/4b/xQA0/2b+8/6h/vH/vP8y/7X/nv4i/hT/2P+Y//D/nf9b/z3/pf8DADMAS/+m/7P/Kf86/+n/6f+JAEcAqwAuAVIABgHrAF8ARAD7/zUAYAAYAPj/AQAeAEQAigAIAR0BIQAA/wH/Q/9w/7L/Mf9c/2X+ov4nADL//f+0/7kAV/9I/1z+P/7R/mb/z/+x/9X9Gv7h/vX/of/y/73/hQCk/k3/RP9f//D/kP8N/yMAgf/U/kn+Sv8nAXQATAGR//b/BQBQAAsBdQHyAN0A8f97/+//tQCPAAsAYwAMALIAT/9NAOAAzP+uAE0AHv9fALD/D/8g/6X/mv+Y/jcAxf8d/7X/Q/9P/63/r/9h/zn/sv+5/gj/rv+v/tv/7f8CAJL//f7y/nkAtf4n/8v/tv+n/yH/iP87AHQAUgCFACYB2QDaACoAAACRAGr/lADcAGEAKAH3/xsA7ADsAWsBlwGkANcAqf/n/5f/5QDG/1b/vv+w/ycAwP9rAD3/Gv9GACQAYf8D/+L+sv6S/6T/tP/u/w7/CAANAIL/Lv8O/7z/CQB1/w3/nf+n/ooAbP+G/wsAJQCC/5z/sP9+/0r/xv/p/xwBTQBmAK//3/5rAIMA2QGhALkAqgByAFQBTQHPAVkCiQAvAeX/of4x/+T/zf8tACX/uf6p/wn/K/8PAnoAGQArAAoAGf+g/hL/jgCu/3L/Hv+P/s3+hf9tAJIA1/9X/3z/Af+9/tL+ZP6I/5X/aP9+/27/M//u/wQADgF5ADYA4/4Q/5D/v/6R/6gADgCQAA4Avv+RANQA4f99AVQBYwC4AE7/AAC6AFYADQFVAOf/FADU/4f/U//v/mX/uv/A/0z/tv6v/3z+a/+A/+z/6v+d/0v/GP5e/g3/N//N/yUATv+8/kX+F/9k/1UAVwCD/pT+vv46/qv/AP8DAOn+M/8IAOX/kf/U/zYAa/9rAJz/AAGOAEsBZgCt/4UAPgDyAEoBfgBZ/xT/XP+W/5b/ZAE9AC0Bk//+/yoA2P+lAEEBDQBn/yf/Cv4d/i//2f+U/6z/Ff9E/6b/WP/XAOT/tv+Q/1L/vf9w/sj/9P1P/qf/Hf93AMT+M/9O/iv/lv8IAJH/rf/c/wL/c/7C/6T/yQD2AP3/nADR/1j/4/8pAFkAOAAuADr/9/4F/ygA8//UAAAB1AAjAPf++AC0ACgBIP+v/2z/4/5b/47/zP5z/r/+Af9K/5b/3v5I/4r+tP6I/yUAQP9L/yv/Wv9E/ob+9/6O/2H/xf/A/of/m/4jAJj/7v+l/9n+2/6i/mT+Mv8j/3r/sP92AFP/5v8bAGIAQwEpAML/TgCW/yAAuP/JAL8A4f8xAFoAqgDG/1oALwA2/wMAqf64ALn+z/+x/6f/3f8B/93/nv/A/3P/2v5Q/4/+Lf/p/pv/5P/3/g3/vf41//v/hABe/wX/Cf6i/iv/ff/M/qT/Vv+p/1L/5v7DAOYA2f8RAK7/DgC5/nL/XACFAAYA+P+DAG8AlgCc/7IAsQAHARUAwv/QAF//UgDNALEAUwDnAHX/KAD0/yr/5gBK/5kAmwBO/q/+vf8BANwAtP+c/7D+9f4i/9D/8P8t/7v/iP/o/r7/aQDT/+L/Wf9h/+/+Ev83/jj/9P4b/1f/bv+8/0cATQAbAAUAJADJ/yUASQAOAN//Gf8u/y0AMwHeAHkB6ADe/xwAwQAgAWwAVQCbACX/Z/+N/7oAKAEAAewAawCz/3L/Y/+yAIP/k/8n/17+IP8y/1X/0v/o/33/IgDg/zz+zP9bAFUAhQDX/rz+cv/v/pH/Kf8e/7T+/f6C/hcAvP8AAIEACQCOAKcAQAAW/wIB2QCfALgA6/87AHkA8QDbAM4AdwABADUA7//UAGkAegCPAJ0A5gCoAI8A4QDKAGgBYgCf/4wAeQAFAB3/wf7j/wwAjv/d/iv+QQCX/2QAWwCU//j+ff9K/zkAxQA2ANn+6P4g/7n/uv+3/2IAeQA8/9n+Ov5s/3oA3ABWAL7+RP9K/2UAEAEFAakB2AHP/1oAmwDnAFABXwFxAOAB/QBT/1EAhAAPATUBZwF+AKEAjwCx/2QAGQEsAdQAjQDu/mv/6P4XAO8Aav9t/1r/Cf86//X+p//4/yoACP/u/30AT//m/6f/wP+4/wMA6P9GAL7/qf97ABIAtwALABoAFQDC/jT/sf4J/xQA8/+2AGwAfAC8ADEB8AEKAhACDwEuAZn/BwE3AR8AagCGAMAASQCRAHL/1wCjAKwAXAAUAN//WgDB/0oANgCFAD0A/gAD/yEAmQDa/2f/DQBh/+z+IQB5/l3/OgAi/9D/Ff+u/xH//f81/wX/Sf8uABP/GwCk/2n/SQAnAPr/TADw/zr/of8QAHcAaQCRAKf/MwDS/8gBaADnAR8B7f8HAHYB3AAKAekAEwBiABkAhP9AABYBr/8YAAsA6f41AEwAdP/v/xEATP99/4sAsv+W/5D/eP9r/7n/Cv+N/7X+dv9O/z3/MQDd/+X+Ov/r/7f/1/90/7n+CAAp/7r/oP/w/xf/LP85AKH/w//iAFf/kQB6AEIABQCbAJ4A4AAsAI7/gQCLAEgAFAGYAOsAHQCLAAcA2f8/AOIAvQBRAET/Wf/W/0UAPwGh/07/LP8O/xj/w/5B/4L/iP8ZAOf+4/5W/1IA+f+3/y7/Lf8B/4b+DP+N/7f+jv5V/1//IACQ/2f+pv5i/xAA4gBg/2L/w/9D/1j/MAC+AE4AmwCC/yoAOADP/9kBDABeAKoA+f8s/+j/zf9XAF4A4f9bAKv/oAAAAIUAXgBSADYAvv+R/9X/BwDx/p/+3v66//7+wf73/qr/FP9k/woA6f64/9n/Zf9s/0D+0P5G/3T/rP4i/5r/iv8s/wz/nwBIAOT+sP8b/03/M/+F/4z+AgC3/8b/af+i/7ABGQHsAeX/+f+UAPn/AQFoAEoA4/85/9z+SgACAG8BIwG+AIH/d/8oAGAAYQBPAHT/pf8b/g//IABT//H+TP+f/wAAy/65/Wr+pf9t/0f/Mf8nAO7+9f4q/2AATACr//P+Ov/b/iz++f6j/iUAff+C/w3/5v8dAHb/mgDN/woBFACM/z7/2/+JAJ4AAQEZAJ7/aAB0AHoAUQBcAN3/vP+q/4QAlgAYAAgAz/8MALMAAgCOAOv/dP4//6X/1P+MAJD/E/+L/mX/zv42AI//pv9h/5b+H/5L/i3/hQC3ALP/P/+O/kj+CQCCAMEAqADt/p39a/4v/wAAFABJANb/0v/m/5D/AgD8AKgAZwHKAK8Au//8/uL/mwAGApYBMwDZ/zMAl/+eANn/zADhACIAmP9B/pf/OQB/ANoAzwAZADoAc//W/2T/EgC9/3H/M//u/ir+uf6V/zD/8ABk/wQAJf+k/p4Aw/9W/6f/7P+F/93/v/8O/5z/iv8dAG8AdP9K/2z/E/+x/1QA3gCwAMf/EABiAMsBmgAWASsBwQBLAJIA9/9NAUYALQB8ABEADAA3AEkAwACdAJsAPQDR/6cAygD3/x7/WQD//vX+9v8e//f+ev8IAPT+q/+//+v+NP8u/z0AUv8Y/0n/C/+a/6z/zf+v/87/Z/9h/7z/Rv9AAIAAVgDt//f/hv6eABIALwAdAGL/7gCIAIn/yQBwAE8BPgEuAVUAagDc/9T/qAAcAWcBAQAKAZL/TQD5/wEBrQBYAAsBUP+d/vn+lP+bAIsBdv9S/3f/mv7k/20AewAyAL3/Cf7+/m//av/X/2j/AQBSABH/DADW/l//pgBcAO3+EAB//4z+o/+F/33/ywD//9j/dP8sAAMAXwCWADEB7QHtALMAfwBc/3IBtQHGABYBFgCvAMv////y/4MB5QCeAEwAcv7XAJb/0f9KAK4Anf+O/5v+kP7h/+X/pf8KADsA6P7U/07+pP9dAF7/Zf96/g//Xf7Y/g7/2P+TAHD/KP/3/ysABAAPANX+f//U/yUASv9A/zD/CwCEAUwANABbAFoApgBcANv/JwC4ANYALwBjAPr/5/+kAA8BFQGy/87/vP+WABEAjwESAb3/av8UAOH/gQBN//P/qv9D/+z+4f0K/9X+6f+N/5b+0f6w/kH+4/+HAFAB8f/w/pT/Z/6m/lb/wf9m/8b+uf6P/UX/wP7w/9AABwCUAIP+3f75/mIA6AAqAa4Anv+v/yEAIwFIAK4B0AD//30AfP8DAF0AegDm/wAAHAGoAN3/eADHAEkANACn/9YAiv9M/6T/S/4+/o7/DP9aAFj/r//Z/qT+5v+G/yMAGwD4/2f/bf+e/mL/DAAPAE//0/7r/ov+5P4m/0f/Uv+X/wcA4P98/7X/xv9BAGUADQBEAF0Apf8WANP/PAFgAKUA8f/lAJgA3AAOANMAMgFbALIAFQChAIkAWQDl/2b/kQBWADEAVf+CADn/agDX/jn/iv8Z/03/XP81/zn+AQCf/oP/+v/+/87/3P5u/nf/6/6V/9T/Ov+T/lv/Ff/Y/87/rP9OACj/7/4o/93/h/85//n/3v+j/2wAnP+QADoAswD4/7AA8/+y/7IAuQA7AIn/ZgDHAJgAPgBlAToAaQBhARIAWQCOAHf/wf/+/0f/Fv9X/x3/df8bAfH/if8u/2UAdP8GAIf/Nv93/yz/b/4p/r/+lP/z/yEAZP9o/l//RgBm/+//SwAGAFX+C//+/sf/1f9qAEMB7f9hALX+RwAsANEAgAB9AOL/m//q/lQA7wBHAUQB3gAQAGgAo/+vADwB3QAfAO7/BgCV/0j/TQDb/3MBLQA2/87/Sv+l/3r/ov9N/6f/p/7i/XH/OP/b/+7/c/+W/13/Bf87/wMAAQCY/+X/Pf5B/zr/TAD2/0r/0v7U/gT+4v9YAH0A7/+c/0n/bwASAVIBwQDm/74Ayf8o/0QAvwClANUA5/93/8QAhwDOACUC2QBMAZcAX/8xAHEA9gCSABcA6/7r/nD/m/8OAPL/UgAa/4j+Hv9l/wUAkP/h/4gA9P9N/w//MwCEAC8AIwAD/7H/If4AAAP/+P4KANv/UP9J/0T/LQBZADz/+v9QAJoA5P9S/0sAkAD4/5oBbAC+ACYAvP8fAHcAtgBnAFIAyP8kAEwAEAARARgBqACW/8UABACp/9/+bADvAFL+AgBD/vf+Cv8+AKP/OwCk/xj/Uv+w/67/9P/q/5b/Lv+I/g7/cP4U/3L/c//u/qL/Gf9j/zH/7f/U/3QBUwDI/iYARf8SAI//LAAFAAAA0/8w/7L/rgCzAI0AKQAZAaYAgwAMAb//3//PAIkAMABeALAAQgAJACMADgAwABQAIQC8/2z+i/7Y/oP+3P+5/3H/N/+O//X+o/9hAAj/q/93/3f/Nv8o/mn+q/5c/0QASv/V/5//qP7J/13/ZwD+/47/+v4v/vH+7v4+AHIA5P8oALAAHQC7AL0A0wAyASf/SQB+AJb/BwB2/xMAXgFuACAAhgBvAIUAGgHoALYAcgAaAMH+/wBq/yUA7v+j/yX/rf6d/iwANv+K/2r/V/+l/v39B/8ZAJj/ZAD7/tH+8/4D/04A3P+X/6n/Rf/J/qn+HP+b/3z/M/9d/1X/Tv/K/mb/LAGLAAUBsgBxAGoA3QCPANAAigE7AID/Rv/V/y4AKgD3AJMAQQChAM7+JQE/AtcAqf90/7r/nP/w/9L+1v+k/3X/dP8G/y3/JwBFAAr/V/8aAAn+AP9M/ub+c/93/5//0P9I//z+XwAqADD/IACN/6T+Wf68/UH+d/8PANT/wv8f/6v/GgEbAbkA+v/iAFYA+P/E/6b/fAA5AF4AUAFKADgAYACp/9YAYQFDALT/zwBWAC8AkAAEAIz/1QDJALH/KwCq/gwAov8x/2X/IwCl/8T+f/6I/gv/Af96/0sAv/+Y/xX+Jf+7/4AA2P+6/yP/x/2s/sP+Av9XADn/wv4LALf+eP+jAPT/6QCkABAAEQDU/7cA1AC6AGwAev9aAJ8AYAGAAPEAFgAPAPwAOAHJAOYAVgABANAAdACv/1MBsgDWAOgAqgB3/3H/rf+2ABABZP/i/vH+v/61/yUAq//5/3UAg/8NAML/9P7V/2gAXv8XAI//av8P/5T/6/4CAd0Ap/9zAMD/E/7l/o8AlAAjAM4Aav+3/zr/PAE6Ab0AFQE6AHEBnADY/0IBrwBvAaMBdgL8AIQA5f+o/0ABJQElAcP/i//k/vf/XgBeAKIAIwFOADAAEv8y/n7/kv/cALEATf+l/jL/6f5DAOgAiAAX/4X+Yv6J/uz+lv7j/rMAUAB4/6j/EgCd/zkABAHe/83/Tv4T/jX/W/4g/yUAmQARAf8ArQC1AO4AogASAd0AAQCZ/xIA+/+z/4z/OQCvARUCxgA1AGL/2/7c/1UAMwBqALv+pv4g/+/+WQAWAZUAagAx/8X/YP/Y/qX+qP/h/wv/4P7//dv+g//G/9cAnv/e/6n/3/9f/hv/of/z/9X/9v4T/1H/HP/q/7n/tABrAHcAvf+h/8YAzAD7AFYArADx/60ARQC8/xoBEAAuAcsAIQF9ANcAVgBNAFcAXwGgAH3/wf8x/5f/AwCQ/ywB///P/wwA4f6g/4X/YwB6AFn/V/7I/nn+VP+QAJwANAAOAMj+J/8KAIr/EwDL/83+i/6l/p3+EwCaAKz/Sv8eALUAx/8MAV//l/8JAKQAUABzAEgAbwDBAHYAyAD0ALEAnwARAJj/oQCo/9UAZwBWANgAvwAUAHMAFgB3AL8AY/96/x0AJ/87AGz/pP7X/3f/3f75/z///v+1/1r/Vv8NAIX/4v+q//T/Gv8p/8j+w/5BAHz/2/+U/8T+kf+y/g7/JQBiAC8AYAA3/q//9v8mAD0BNwDJABP/w//M/3wAWQEoAtwA0ACLAGkAvwBfAAcBb/84AKT/oP/S/3MAHgADAWEBZQBaAJn/XADN/4L/pf/W/uf+Hf/o/hEAYf+r//L+bP+QABMAav/D/j7/hP9U/x7/vP7d/un/BP9uAFT/jP9U/7gAOwATAC4AxP68//T/7f8uAMr/bv+XAGkA7QC+AG8AggBuAK0A5ABdAYwAPwD0/xYANQDmAFgAVQEAAMb/i/+A/zkBgwA0AQMA5/8L/6v+f/+ZAB8AGgDv/q7+hf5j/0r/6gBBAIj/8P6f/ur+S/+//9L/zf/Z/kT/if///ur/v//EAIIAvf+E/tz+Jf/R/6P/awAa/wkA+/9O/1gABQFDAYQABgAxAPYAfQD0/9EAGQCDABwBRAFC/ysAPgCiAOsAlgC1ABoAJADD/+T/vv8yAEP/7//H/0b+uP7M/u//HgCS/17/JP/U/hf+xv/B//3++f4e/y7+x/6f/+v/gQBCABgAsf/x/jH/Nf+a/+L/A/9k/tX+BgBr/x8BiQDcAAAB8P/+/+L/7v/eAHYApP87AHMAkQCgAP0AlgDDAEMA1v9nAD3/dP+Y/6f/RP+PAFgAIQBCAKT/IwCR/34ALv92AJX+Gf/w/qv+Z/+u/yz/kwAf/5//4v7V/vH+sgCA//L/hv/d/Rz/CP8p/qX/+f4C/6L/gf4s/j//QwCBAVABoAGs//X/JACJ/9QAFwAAAP7/sf/u/jD/uwD9AIEC2gHRAFwASABEAJcAYP/wAE8Am/5k/6X+uf+8/0QApAAKAIT/yP7o/Uj/ZP8pALr/If93/jL/bP+s/1gAwf/x//z+3/6//pn+Yv8t/2r/HP8m/or+7v/B/zP/zv+Y/2MAXABfADz/sP+Q/ycAAwDpAHH/oP+T/9D+DQCBAdIALAHn//3/SQDM/4cBjAAAAT8AJv/G/mQA7/+HAO7/FwB5AFsAE/8O//D/6//C/3D/aP4b/wv/q/6l/hb+ggAPAPj/D/9H/lf/if8HAXj/b/9u/t3+gf4J/gP/xf/d/wX/9f68/2f/WwDw/4gAo/+l/yT/6/63/6v/uP/3/7cAVQGLAJoAhQBUAKQAyQFnAGH/qP6a/w0A5wBlAF0AAwFRAIAAV//D/6v/XwAV/+r+9P6//br+tv9JAIcAAgDe/5j/2P5c/4//cf8wAPH9+v0r/3X+Wf89AIoAqv/+/2X/A/9tAEf/gf8x/87+AP94/17/Uf/V/2YAmf+KAAMAdAG6AD8A6f+nAJX/hgCAACgA8ACb/+D+q/+ZAHcARgEEATcAJgDh/2T/gAAmAYQAGgDt/v/9Nf7r/wb/VgHwAH4Aaf/p/Rz/awDDAMsADP8V/uH9j/0A//j/MwDPANX/V/5J/pj/IgDO//r/TQCc/+f+9P34/soAUQEmAXr/FwBeABj/6ACnANgADgCpACf/Tv9bANn/kwAAAIIAoQBGAT4ATgAtATMArwByAPUArAAOAJv/Zf+e/3UAnwA0AJL/ev+I/qH+VP9KAHL/k/9e/0//HP4q/+b/UwAJAEH/o/6P/0f/Mv/M/7L/gf/h/0r+MP/T/lX/TP9L/5b/TAAJAEX/p/+kALsBFwEtALj/0P8cAOv/cwDI/5kAuwBUAFoB9AAHAucA0AFnAGIAtACY/qT/xP8eAAIAUgArAP7/fQDwALkAwP8aAF7/CP8i/lD+Dv7A/rf/eQAwAEz/GADw/9D/WwESASD/L/5h/QD+wf5q/5X/3AA4AMH/wf///7gA/wG6AB0A/f7A/YD/df8OAVMAtABeALAAjgCRAfIAFQGDAMUBdgCJAHD/LADHAOEATgB4AMkAWABe//v/sv8zAFEAUv+CAOn/b/+m/13/tf+i/0cAZ/+7/6j+kv4YAO//fADfADkAef/I/tv+f//C/3n+I//L/jv/cP6NAKz/pACRAG8ArgC3/4//i/8wAHIAagDkAC0AzwDUAKUAfQHLAEcAZADlAD3/BADb/1IAbAH7/yoASQFhAGABUwHc/xsA8P+M/+//Vv9I/0n+ev+t/vH/qgDG/3IAbP9c//v/+v/S/zv/3v5G/vb+u/5u/2UAc/9w/+r/yP4O/xMAMQCR/9r/Vf4c/sr+rv8IAPUAlv9P//T+qP+wAFEBTgH+AOEA2/7eABAAgv8VApgAmQC2/1v/Hv9xACABZAFhAY4Avf7F/43/OAAZAdb/xv+m/iD/Dv8M/4H/8v+aANH/x/6G/if+SQDr/9b+q/4p/5P/aP5A/4z+JgC6/8EA0f8KAGP/of66/xcACAByAA0Ag/7K/pj/Kf+KACQB7////+T/ZP9t/6YAeAHwAMQAO/9a/9f/FAC3AGUApgAmAAsAwf+pAHgAxADMAIz/LAB8//f+AgDw/hEAb/8lAE3/SP8bAIT/3P/A/tP+A/+3/hn+nf8E/5D+fP+p/lIACgB2/ywAB//1/43+Q/+t/n/+vv9w/lT/7v5p/g4AtgDp/0T/QQDBAAQCVP8RACQAEQAkAPcAHgCNAPL//v74/q8AIQE1APP/EQC3AO/+5v89ATAAmwHe/8r/tf7a/x4AHv99ABz/bf/t/mH+r/89/9v+l/+6/8r+NP7S/uP+k/9AAN3+tP6K/kj/AP/w/6f+Ov/6/u/+jf93/tT/IQD4/8H+Bf+R/zD+AADq/00A1P8K/xUAi/+lAEsAGwFUAE//TQCT//r/WwCFANwANgCD/3f/JQBRAB3/0/8zACEALwDH/ykAe/+dABT/k//E/mn/Kv4Z/fT+6P2W/uX/df+h/yAATAAo/yr/cQCA/5P+1////ir+Wf6U/Wb/AQCR/04A4/7f/lb+hf8ZAAAAeP/a/1X/7v7cAHH/RP+SAS4BWwCZ/yAB//6A/7sBUgBlAfX/ef8WAGIAb/4R/zkCwP/I/zf/yv+o/xwAwf9MADIBz/25/o3/Qf4Q/wMAff4T/x3/av/9/y////6h/wH+gP9E/17+Vv8Q/sj+yf3W/8X+o/8BAGH/E/8O/1f/Lv9IAM7/sf8p/hv/Sf+U/w3/cABe/67/iAAuANT/tgG0/nMBa/9oAM4AM/99/7n/2f/z/z0ARQCIADH/gQAI/5UAmf5X/y8AzP51/9//Bv6d/30Aqf6dAAsAjf/R/r7/dP/C/vH/t/4a/2j/v/69/oX/hv4AAFz/jP8J/sP+1P8k/0b/Vf+n/57+6QAT/0oARQB+AFT/iv/E/7v/MQG2AKz/LQAXAL0AkAHH/5sAtAHG/4z/7QCT/msBBQAFATkA7QBeANL+qgCTANr+ZQGiAK3+jP8T/S0AEQCWAGH/6P5C/rz/HP1CAbT/Lv+9/7IAUv/m//L+BwERAAYA8v9Z/2D/YP2p/rf/Bf/7/0oA8v6eAFsAMgBQAPAApgG6AigAAv5x/0MA9QCrAZz/0QHi/4b/5wA+AA0C2QDNAUX/mP8d/zkAgAAyAQ0CuACi/7b/8f/FAd0AUgBV/qX+4f5W/sX+p//w/oEA7/+5/zQAEAAXAG4BWv8FAY/9Gf9z/kf/IP5L/6v/DP4o/77/A/+2/cUAuf4iAA8Aiv8m/7EAWQDrAAYB/ADbAdAAzADw/jIB/f/0AF4AawApAD4AeP7x/7P/iwJbAVgA1v52ALUAov9xAl0BXABeAFH/v/6uAOb+K/8z/oL/av6+/iH+qv2C/5UAuABb/pIDEf2sAcr9EQEnAOAB4/5JAAT/i/+tAMz9BgOh/jUAPv+i/UQAtf2LAAEAlgDx/1b/TwEGAB0AdADlAJUAXAAw/tz+6ABf/+kANQCWAAwCyf8/AegCmP9ZAgYBbgH4/z8Auv+rAcH++P+5/SoA6f4AAAf+AP+i/un9/v8v/6cA+/6e/4n/PwAFANz/OAAKAVL/5f4BAYH+kgDb/0f/TQBq/yv/eP/6/2b/h/1A/5D/1v6MAhn+WgAI/+cA5AGcAaEAwgPY/eQBL/+NA8sAuABfAa8BFwKL/1sANAPrAIkAEAFv/TgCLf0JAL/+6f8c/TT/GAC5/ocA0vw4Ar3+YwA5/03/DgAzABgAnf5Z/9v+PQEJACwB+v//ALj+PgD6/jMBKf46/wv+EADA+zQAXf0N/9YBOv6pAbv9NgFl/UgBUAEuAa8AYwCM/4ABDAIMAfECqgCrAtr/7wGi/3kBwf8oAmv+4//L/+j/SAC8/vX9HwCJ/8n9pv50/kcApv/o/bb+BQBOAM8AVP+k/8sAzv4YAOL+uwHlAFgAov5u/3b+4f9MAEH+p/+w/aX+1f4O/jIBSv1FAFz/nf4U/30AH/+i/8kBGQCUADQAhQPv/zECqwAdAYUBEwIp/yUAmAEtAdH9cwOx/cYB2/2yAn7/VgFw/TcCbf4WAYH+9AA8/qUB5P30/qX/lf9RAAr/kAGh/ZkB//6VADH9vQJ7/ksB1vzq/47+y//K/i0AS/+R/wn/o//B/1D+PwE9AEUBQ/6JAB8BjwFP/nQDcgAvAUMBsQGi/6MBov+XAZUAcQH2/hICXf8AALcASQCX/8IBnf+j/q8BAf9B/3//2wDJAVX/zQEIAC8AsQD2ACICeQCLAfH/v/+T/zIAi/6FAUT/d//a/oz9Lv+b/m7+tP43AGL8kgGw/BkCKf2A/58A3QGjALL/hAAk/5YAdgCHAlMBlwJE//UCTQBjAeoCnf93AygBRP8a/s4AZP3ZAd/+0QAP/6D/eP9n/+UAugA1BGT+qQJg/qICjP7bA+D+tAMAAIQAV//tAGj/hgE5/z4A/P6u/o39Hf7+/jsA9v67/X0A5f9GAKj8kwGl/pABqwDc/Bn+eP9JAVf/awEXAQAC8gB8AGQCbQBsAkwA+/+UAlD9jAFx/YsDFwB8AWz/OwHs/6UBr/2EAwn+RgDPAMb/MQDPAfkBrQBDApcBtAMP/g0DQQIS/0j+uADMAFT/Q//q/08AOv7u/zj+CACO/XEAlP4Y/yr+OwAu/54C3//7AFQA0/9KAsX/YAF+AOj/LgGf/6cBlAHa/T8BHgEm/9cBLP4wAWABO/4HAfT+aADl/sP/MAQiADz++wCa//IBkQOmATwCZ/+fAIL/DwIEAzQAfQHX/1z+xP8EAb7+cQCt/fz/zfy2/3/9vP0FAIj/Fv/x/kQCOv7c/2sAmgD//gkD/P0NAEv/MwAxAdH+EAAHAvv/SAJg/wcBtP9qAYX9PgLz/fr/+/+4/gX+FgIc/5UBJwB9AUACFf81ANcA6gGT/wwB2//xASABTgD9ACADIgOT/dgCvQLhAgz7jQCd/s0C0fy0/CwAz/5kAKT8nAHA/6T/pf2FAm7/zwLI+7n9ewMU+zwEtv6tAGwC9fvwA+n+WP8uBSb+HAFm/QoAswAr/I0Cp/6nAEH9Af/NAFr/4AAXAbD7qQMtAtgA/vu9Bt7+cACK/DcEpQT9/iACifrUAjMGdP7RAcICOP4YAQr89QVi/D//hgGp/LQBUvyQATEBSfrDAxL7RgJyADr3BgXh+NwAB/8E/yQC2f2m/pT9ZwTh/3kBzf7v/5r+DAI9/J0Ddv21AXgAjP42AET81gNa/MwG+/ehAkv/6PziAEYAOwIw/+78+wVr+RsBMAdIANH9LP8UBd8ANQVw/6D/TwKl/3kE3wB2/BMChgEO++QBTP28/z4EffhGBPH3Uf6r/6UALQZJ9fUDoPrVBDz+g/4ZBJT8jgM7/sL9wv/1AJQGegK1/3sEvP8UBZcF+gIGAY8FnQIPAIQEOf+QA60CfwHFATr+KgBdA1v+BP0h/mX/HAJO/IcBrQFZAfn/ggFeBegBof+eBbYAWgB9/oD9FwM9AdIEIv/c+9wDPv8tBEYChvytAMz98f/z/Rv9EP8B/5oA6gJCAAgAbv9g/zEEhv8uAvX9hv1e/w0C2P0sAvsAKAAHAa0DNQGiAan/MgFSAl0DU/5U/+0AFgG1/sz/7v+jAMsAk/xf/Sf/+P+v/rD8iv0j/vL9gP7T+9H+fv65/db88Pz1/9r+l/yy/2AAXwAx/58AZwJ7//n/If9VACH/bP1V/aD6Gf2h++/6YvuM/GP6jvm6+kL8M/ri+Uj5x/x3/aL78PuL/+wDhQVDA+MEOQaOCAEINAZsBb8F1wRZAaIA0wDn+xT5sPUw8qHyl+ru7VPpgeRQ7UPwWPn+/Nv8kAZ5DNIUZhczEBQSng1MC/QJwgGYBW4DhABrApsBAAocBdsA/P1D8CztmePA6UvfzM7H1tPjFfeaAnH8qwqbE0UpfyqVHdkVhwwdDEoJ8P7o/tz+cATtCUgK8BA/FjITighN/jbtnuBy3JDmBM05xrbQEe4KBpAJ6QDMERcjQzS5KPMPUgq/BtcHsAF7+uv/sgd0CzARTxMVGeEfZRIoAm72Wejj4L3RZ9u036rBQNMM6PkE1RiqA8QDAhZRJqMrqBDmAcoDrQOzCn4AowOFDoMOvRF0En4W8B3dFOYCuvmB6xTmPtQt16n2w8Z2zWvfDvlgJFQKRPnsEeMYajjIGpkCUQZDAdgM6QUD/TgPkg0iEHUUuhMwHgMZNwva+TTyXuYH3XTJfPLC10O/otoC7xsevhUQ9d0KiBbWLyEpogKGBJQApAjzBRP+uAhGEc4OOxMDE0wbXBmuES8AhPbz6ZfeesyU6v3xULeb0unmAhqJKKPzR/lTFSgtYTuCBJf8mgRDB10PVvtGBJQUXBAbEjcPehh2IpURLwS286jtX+W4zJvZwwFgvyPE9tufBwAzzAOa6eAKsSG8PUcYGPVjAo0Bog7vAaH8JxEfEhYNIRDXEp8jjRrHBiT6se6N6sDYkcy1AYTe7a9z2r7tTTGJG6fp+PrOFpM2RTEJ+bD9cQKSCZoNQfl3CPoWlA9fEjcPQxq5JnUO5wKz7crpDuq1yazfcAaSq7XLhd/xDWc6uvQe6OcJEyTKQwYQaPCVAV7+1xRaAmr4yBOrE8YSGhD1CzQlTB49Ce73ruX96VjfdchgBxDT7LI34HHoxjSCGKfn7/lMD4k8tTAJ+K77Dvx+EYEPzvlfB0ESBha4E4QMaRg0IzkTYgTk6nPqEueP1PnfowAEr/zIad9aDuE0oPW95GMDiCIZRyQTWvF0+A8AoxkoBT740AoEEDMXdxBVDJAfqh7kECv4qOPo5xfhY88zBFfVjqZZ3EbrlTMjGmPj3fK6DNs7mDgE+CP2JPaIDz8Xwf7b/nEMXBUgHQcQoBM7HNcdgwjm8ZrjjeHd2vHgAQmyp6/GWtxeC7c2X/l24AYATBmtSfwX0e9R8vz5MBoOEJT9yP/OCmUYNh37DooVaxdfFDAAeOs33AjetdSOBmfYyaqd0sLpMDMgHe/mwujEBQc40UDj/V7vJOnxDXoakQzi/BYAgRAWIbgZnRTJEbsVXxDh+snhuNoV0ZDzdwLlp6jMOM8fGY0z3Pf04yb0uBw9TXQXK/N946H0qx7hFKUD8fjKAVEceyLrFpwS/QzgEzcDZe2A2u3OV+ArC226B8M+yFH6/TSkCl7svuuoCcdFvyz2AyjrcOQiFJgXLBFD/9r5bw4UIzcf1RnMDLYODAn1+Yzh89Gb0rMKJcsQxtrIzua0LQ8V1/dS79P85DZfMz4MSfOn3BcFqhVmEpcJMPNbBkoezCIVI/wNpwcSCU/7U+5O2D/LbP0r1KPFE9J62swdGBNr/Qj1CPvJJ4wz0hFY/yXiNvxFE1MUfg//+gQAjBd3IswlyRdSCSMFnP2i8Mng7s/P+jXTSssm083ZLBrFDgYEQvsE/TIkwC6qFKMF+eUr++EMPRK+DtT/W/zyFDIcYyZ+GmEJnwNx+Kjuf9/i2u/yv8qi0MPRV+ZcEzUJcADe/wAF7iatJHUOagHg6zr9uwtQDd0KtgIWAT8XdhsBJewcJQuEBRX51ewa4ZXkG+gVzKvWpNNr9OkJtwfYAMcE5xDTJ70eCRAq/cz15gBHCiQKcgeEAcQFfBUXGtEg7RekDEgFz/fD6gLjouqw2mTR4tJJ2w/5lAFaBAP/egjBGIUjmhi/Db37Uv9HAQYH4QTbAKn+gQllEa4YphqREZIMJAb3/W30w+2H7ZjdXN1+2sLnBfbA+Ur8Jf5MCCoUDBhNE6gL2QWzCHQK6gt5BkUBNQLUCqoOQBIoDVIKEAmPB3YCW/3O+Of2muya6GXmP++G76XwGe4F9bL7OAJ5BtwFBwW0CMALzhFbELIL4ggQC5gOBRG+D/UKrghTCd4HEQWNAGP9Rvqs8QzuHevq6vTpc+jR59bwxvOI+Uz/XgJLB3kQbREdGJETxRFnENESahLrEg0NoQnPB4wKcAirBWL9R/6F9tLxB+3F7DDoR+f74Sznpe8D9PL3yvxt/2gJXw4oEJ0UUxJLEKcRARGyEQoSEwylC9oK+wqDCL0ChP2T/G/0A/Dz68rpr+di5HjghOdJ8G71+Pmf/IkA2QjDEA4TmxW/EgQRrxIyE5gTCBEMDsMNhAuHCmsIMgG6/sH8rPOG78jpqumv5+TlOeF86fztj/Tz+BT9YQCoClENkBHQE/QQYBAwEiwSlxJpD8QMUwy/CssI/gYGAV/+NPxR8cbt2ugA6ermyOW64Cvq0+729bz4Iv2jAccNkQ9rEpIRPRDCEdUT0BM7Ep4P5A3VDTsNLgs8B/8AcP8U/VnxMuwK6Y7pS+cH5fTgWuq38Of2PPyO/aICegqnDrwSiRBGD78QkBHIER8Qww7XDQYOmAy5CgcFsP7h/ar5ze8u7GPonefM5K/jquHr7AzxsPZI/Pz8WwSGDJcOUxJoEDIPyBF9E+USvxBYDgYO2A5cDbkLmwOfAGj+NPgH8MTrA+o26cnnjeIW5Lru0vOU+Df7Rf7wBcoMSA5bESgOIw+SECcTEBI0EDUNUw6ODe0LAAm3A9j9wP1g9Ent/Orj55XnNuUG4TXmAu+R9B345fo4/soHmA7DDykRog1kDwcSIxNYEQwPOA3jDkkNEwtMCGECMADc/nn0F+4x69PpBelj5SvfLenb8AL35fkQ++T/1QoIDwgS/w8BDh8PuRGVEZEPHw1mDR0Peg1GCtQFvABwAOH8IvKt6xbpNuiu5gDjUt/C6Q/xFPaK+Yz7jgEaC5IOcxAkD3gMPhBqEUoQJA91DJwOABAJDZ0K8AWcAdn/Qvzo78DrLOrD6WTmkuJr4Lntw/TZ+BX63v2SA3gOLRBvERAOfw5lEFASpRA1DgMNPw5rDzQNzQlRBLoA6P8x+vDuFuv555/p0uUP4iDhS+xB9Lz3iPlY/acEYw6GDqoO8QxwDfwQfxGSD28N2AveDpwPCg2YChwHLgIjAJH8+e9E7OnpdurD52Hj0eB07Drzffie+fj9eARiDxgP0xClDkgPwxIpFC0Rsg2vDRcPchAnDVkLOgZyAzMAW/4n8R3sm+mc6q/mkuP+3gLpKfJT9vX3AfxPAl4MmQ9+DuINeA7fEdASlhARDcIM2g3FELYOtgt1B9AECAGRAN31f+156n/qM+p15KLg9eNk8NL2hvnf+kMA8wkPENsONRDsDqwRYBR6Ek8Plg4TD2ARShKtDKULdgaMA+3/9fs57z/ri+mk6hflauIq3qbq+/Nn9uH3Nv2DAp8NAw91DesOyg9yEusT8w6wDbwOSg+ZEVcOuQqBCHkG5QCu/+T48+vx6oTprulw5CzhqOAs71r0dfft9wkAVgdbEQIQxA6lD7sROhUyFS8QHBB2D4wQ3BGqDugMBgpcBhsArf5M+NnuNeqI6HzoruQ64YjhBO9T81f2hPjY/mQHsRAfD7wO1Q4mEWAS/xPBDmAP4g4ODm4PTQ7eC18KZQYsAM7+C/nH7cLo3eiq6NHjKuH73ibtQ/SP9i76i/+sBvYQnREeD34RqBGHE9cUDxA9D1MQ/xBOEgUQlAwxDMcJFAP7/7/89fDH6kjnf+kL5bniR99q6BfyCvbz9zD8JwRbDUwRYA5/D7oQCRJZE4ARVw2yEE4R/Q/ND6AN6AsXC/EEk/+V/Zz1B+tl5zfmTOi14gzhy9/i7kv2AveR+eAA0QjfEVgQ/g7+EGIS3hMPFOYQRA+MEvUPqBGsEdoOsgxpCTgD4ACE/DD07uo153PnYeac4bPgl+Mo8Tr2RPen+RoCjArIEQ0Qnw4qEF4RdxF2EhUPKA8aEG8PyBAKEIQMjAtUCZgBzf1f+7TxJumR5SjkoucL4SvgKuNS8Ln2+ffk+f8BbQo4ERsQug41DwIS2BKNE0gQEBBSEbMQlBFAEUcPtgxWCVAE4v/g+2H2Lutq5srm0Ocx48jgbd9J66H26fe6+Er+HAYbDr0RVw5WEIgRUBK+EUMQxw0rEDURPBAWEMMNFAsBCtsE8QFp/AT5U/DV5d7kfuUJ6Czhl9+t41Lxt/YQ92b4vgGQCu0RaQ/HDUQPYBIJFJgTLRDfD24S8RF2EJwP7A9IDpgK7gVR/7L8Pvl07/Lkx+Rb5tvnot9w33DhSPIq9W74xPfYAv0KYhE9D0IOXRBNFfoVPhVJECYPZROaEUkSmQ6oDREMtQUf+bLxme/WAGDSkcip3CvlevLD3JHQg/gDF9kS2Av4/WgYtB+uCzD/VQOVCsgS9/LsAboZLyRDIKoTHxfCKl0TRACA+c3uB+rpzEnfFvSWqZLbae0VAvoHC9kl8MUh5xr8Ew385wWMHqQGZP5vB7YN5RYi/Cb5+x5xF5QYtA08Du0fkAv5+cr9u/el7WjXGMroBNLWYqHQ7/LvzReU57fR9hUnLgsc9g+t/B4pShdg+cgCHgvoDlIDV+vfC48kehVDFEERHR9QGWv9Kv4LA9Txr95fzWDUvBR1u5CnUwJHCTwSFtT42qMuiSmnEfsFoQxMLjUCqvOOCacSqQp89GHy4xnqGawNwBPMGoAfWAr3+aEHRf1A6d7Rc9X42wATK7e/opQMZgv0DpbQNOP4M38gUA1BCywW3imi91H4zhQgEl0GDO7d/okY3RBeEesWpB6KG5kDSQTPBuv+9O2Q2Vbhl9GX9xH+/4oI7CYM6g4y9ZDG4RNrMDQRUhEUCMEnXQ+d7vUJfg7WDav0oO/QEakUhxEwFCYXayESCxQBrQYDALD2heZg2kHilsvKDensMIyZAoIJJRQ45ZjKMyYYL+MPtBDlChssmgUy8cUOxRI8CXzt+fNQGXARMg1RGY4cnyIuAWEABQlcAmj38uGn4/riYsvsAbwAbI+A7LMNNRgk7fHAIBfVNIkVOg66B68pSA7d5rcIqxMrC4vwMeyiFFsX6ATTGcwa7CHMBy76nwhKBMT2Jei65Z7ksdup2Wkmurggq14T9BE9DwzLsuLyO1Yisg9BB/sbESkQ8B/1gBJJEtj8Gem6/8Md2g/0CTQdbxyPFrH9EQOnCRD9Wu6Z5rjqCOOhz0b0KSTPmQjAwRZjGr0D1Lxm+uc8FhroDNUF4CVLG9bm4/x7E3UN8fN/7JIFLBrrDggMTx5lHPMP/wHGBF8Kw/zX7pvuqOt+4/vd3OO0KY66XaB9F54a/w33xnPjR0FDJmoJLQk4Hrgok+7p7xQTyhIz+evn8f8NF/0VDAnsGMoaHhMnBEwC9QqXAC/t8u6M85fmmOII0VIQcAoBgM7u6xzxEbztDb/ZHYc/aAkuD0sNpiNfDdvhHAl9FIcEXvAJ8RcQHBsiDRQTvSDGGJkLkf2eB/gKmvfZ7S/2kPDK41zcrd37Mf7SxIvLDBIcERTm0zzOCDgaL/wJYQ2vEdspMfYH6FUQnhH7AdrpdvdIF74RXwx1GFYebxd5/lABrQ0gAq3zP/Hz8lvw394M4Irm0icgxrWSahP5HLUM+c521445WS0GC88LWRRrJhD3ReylDX0S5gBo7Un7ZxRtFckOBSL0GFgMFQjvBEkO+/5x8G/41PRd61Hkoufd5CEbdN/Yjs0D5xq6EvvcH825Jx4yTxCUDz0MKCNh/q7nZAkDEGsF3vD88/IP2RMyEjIbKBkqExgE5QHYB3sEqvlP73fyo/NK5uToBdzHDPwMIola3mggthc2+Yi/Xgf3QggZNw7ECUIflhRD54v8ARI7DZL3H+55CdsXzw4KFUAcvhquBTL+GglYDEj8Q++A9Jj2L+oK5orl2ehvIHvCq5qvDxYcjRCt1WzU9S72MFsTxQt8C0AgzvmE6IsJfhCxBLjwjfLAEYkXBhbXFzsUkhIWBcAApAU5Bqz4svE79jbyk+ia8H3frgJGFFmUcs8TG1kc5QEJwMH1ykAqIkAT3QaTFOAZD+3O8SURSRBU/MrravppGsEX2RF3ESwbWAwGAJf8kgkzB0D1z+uY9F30muqH5RveLxx87vaMg+ruGTok++y4vI8PGj3QHZoM7QAHHGsPauXN+HYQpQ8++9/pigWWILcVnRMRE88Z4AxG/Xb//QaKA2X2Vu8y9IHvdeuU5uXlqR233K2UrfssG04etOSExb8bwDjjG3wLIv3YGu0Ir+nw/bEMGQvV9r7qTgohHrAU8hPeEAYVXgkF/fwBUgpc/rz0Xu6C87vw8+fi5pTo/BqN0pSWtf/4IIQZL+PFyGUfOD2mGigKAf9DGWoKeunO/i8O9Qj/98PtTAvQIOgVaROSEHMTdg60/Er/mQmGAfH3HfCg70H2Hug55uvmkRjl4P6UxO/SHrQjNOl6xXcPXz0IJpYIzPYJFMQN1O9k+MYGhw3O/OPrzQK3HNcaYBU6B2EU3g7H/d/98ALPB7L7BvCL9VnvFvCV6rDeURCU/yOY8tnmEqsoJgUFxb330zgQMOcWZvXeCCQXDPhc89cCbA0eB1ju3vV8Gvoe+xUTCR4P1RSgAiT37gEACCUD+O+D62XxZvN76uPeJwAZD16qtb+SCg4lwxcIzq3cfSqgNLciHPdU+pgZ0gKk8P76lgrPEFb3Re0xDvIgSRl9C4sHyBU4Dsf5g/2+A48KFfxd7rbx9/G57znlpegoHJ7QW6cY+EcaIynU6SrKZhIkOGYtcAYt7m8QAQ6U9Yv4SQIoEewBNOy2AXkcEiG5DmcBkRDoEWv//PQ3/jQKmAAa80LqR+tZ8gjpp+m0FvzVYaUW8NEUryoI8mDIKAZXNAk0ZxBS7AAMZBHU/UL4q/wqD7kLAvPA+pYWUSKxGAcEjAqDFOsGJfmt+OQG9Qrr9uXpLO8k8QTvuuKECy75SZ+G3SoLJinyCgvHmO+jMPI0mB+86+38IhXzA2H4vPZVBukOfPn98ksR1iMxGLYG3QZDEwgNzvfg9O0DpQec/1/mTenK8lTwLenOBBP+e6zo0gMGKibTFezSOuHSJHI34ily9Zv1ZRKaDPP8S/ZUAXESSQOD9GUJvBogIZ4TIgRjCP4KWQEa/vf6O/7w/bjuJeYv64/wZeqOEMbnDat24zQJAikPBXbKd/BPJZw27SKr7SP6Jg9+CHEBRfXpAEERqPs7+SUKFh7NICYN8gLBC28LtwHl/A36uwG6AG3sM+Vx7A7vefVjEzLSlrLz8uEROCmD9AXOjQL7LU82oRbI6nYCgxCTBub+jPa3B8oOBvlu/AcOvx+GJikICv7JBlMJwQjA+nP13P7h+H3sg+d95UTwZwrs/EG1n8mpACclnhfS2QbaoRUBOC8vXgHC7pQHgw60Bkr7IP3kCWEHI/nQBZcVhB89HZ4G5QTXB7wECwOW/I371ADv7l7pD+oM6wX5DxCs3Mq67uZ6CuUlSv6n1ZX0kCI/NOcdUfMM+R4JRAx7A9H4ev8NC7sALP91BxcYfyUmFAcAEf92BHcLeQKy9GX4yPYk8BbprunD6aoH6QDDwPvKbPYpHosd5+MU2h0KqzDiNMIK0u89APAMwwsu/4n5TAVrCPMAAwLPDHciKCG6C+r/awH3CJQJ7voz9aT1D/WV7uDn2udO82QP7uGlvL3iqQjNJM8DQNQq7m0exzU+JQv3MPE+Bt4M/QjV+jP4OwjsBU/9ZgntEH0ccxxQBWwBzf9BARcH8f0Q9vfzDO3H8cvqOOq1Ax76XNHP0QDyBxeZGZvsJuJ6A8IphTJxEF30YvpHCMUNVwMT+kcACAmjA68E7glbGaYf9RBZAfj7fAKYCAMA4/Uc8YvxYPN28DboVO+3Bf/nW87O3K/9PRzRCOvj/OpMDx8u1ilEA/fzOv4XCSAM9P/S+DcChwWZCpIGyAqbGx8doQ82AFT30gNkCv0AMvNj6rjubfWK8kPutvh490/f29f973ILGxKV+1XqVfqgGgkpgxiL/z34qwFhCGIFh/8A/LkCjQiQBOwKDxOGF7EU9wYp/DX+uQEfAmf6KO0a8D/t++9o7uHwLPyE6ILbEONB93UPjQcL9eL0BQcxH3kiXw1q/qX83wGgCD4FgP4TAXcA0AaIDi8RNBVhE4ELogbB/s38BAFc/UL4MPFS7YPvXvOo8qP5nPNt4p/hNOsr/6kHKv0Y9ib9KBDLHIwWiwlm/z4AfgLzAWf/ZPy//9MBqgbPC0QPphJtD+0J1QHf+1X7/Pr8+MP00+7374b08PVm9I74OvEo6gLtne/W+Er+z/pt/IEE5A5hFk0TRwvuBlQDxQOJAlz8Pft9/Hr/wwVGCvoMnQ4SDbsKugSp/x77evgL99fy3vDJ8sr1Ifk3+n/5TvjT9qr1lPa19UD1hva6+Ef8+QEOBYEHsAgOBi8GLgVUBMkCEwEM/4n+Q/8RAoEElAUlBtgFWAQHA1kDlAOfAvEAgQBGAM8BjgLZAhYChQEDAXIApv+e/ej75/yz/Jz8IP1J/cr+7f9y/oH/ZADAAAIBTQHvAYsBhgEKApYDCwN4A+4B0wDWADwAigEmAMD+L/4s/gv/m/8B/4T+P/1a/dv9GP5t/Db9RP3a/eT86fuL/Jb9WP/m/tH9+fwd/TL+9P+VAKQAz/+JAN7/QgCsAIkAMABCAHT/EQDx/iz+RP+AAMIB/QHr/3z+kP51/+cAPABh/pv+rP6b/xv+0f2b/94BYgCX/5D+Z/7n/joBNAGsADv/2P44AEAAJAHzALz/uv9V/53/TgDi//j/FQDEAKsAIgD3/yP/dP+GAMQARP/L/X/+m//ZAGQAxACfAC0Av/9EAH7/MgC5ABcBdv+I/aH/0AC3AIIB/v8NACYAAf/H/4//ZwB2/8z+L/8k/yABsf/F/jkAgf5MAIP/Z/53/T3/3f5u/oX+//4O/0D/FP9A/83+yf6d/7//F//6/Yr+2P6c/67+mf6D/vb+c/8S/7QAGQDX/yEAM//iAEQB+P8fAOX/Uv97AcQAAADB/1IAUQFwAc0A4P8jANoAowCyAGsAAAHzAOwA2/+LAF0BiAHFAB0BZP8MAGD/U/+3/w//sf+G/4//MwCLAK8AYwAjAEwB5AFJAdL//P8G/wL/fwA0AGoBDgB4/jT/XgB5AIIBRQJEAMMAB/9h/24AnAFRAVwAWAAGASEBNQEdAvwBAgLzAbUBIQFyASoBigCjAIIBMwLbAcgAlgHi/zgBfgHCAvMBSgD1AKf/9QAyAe0ArQE3ADIApP86/yABjQAjAeEAwQDXAEsAGQCVAtwBaACDAE4A+v9EAeIAwQCoAJwAqwAaAcAAKAFRALsAXQELAasAjQAhAY4BDQFWAr4BeQEOAoIC2wH8ADYCNwIlAkcBngCkARcBCQLRAbYBbAL1AUwBOAJlAf0CtgF8Aa0AYwF9AJgAMwHWAFgBFQGKAC4BfgBzAVICUAGxAFoAZwA/AEwBJQEiAXn/OABOAQ8BUAFsAMwAFQL5AAEBVgCxAGUBmwFJAsYApAHyAY8AkgHNARkCtQINAfoACwEXAUwBCAIhAi8C5QGgAKwAsgBvAjYCzwJpAb8AvwAfATsBjgF0AoQBxQBh/2X/hQBqAZIBSgF2ATcAxgAcAPIAxgF9AWEA+f7m/8b/+v9LALX/LgFxAYkAdAAGAHwA8wBwAHYAhf8mAH7+3/8l/7EA9f89AEIBjQCUACoA8P9wAWwAjgAs/1z/KgA3AMcARQCIAFAA7QCcAJUA2ADU/nP/If9MAFQAyP/w/5b/egBWAAEA7v8pAGL/ZP8T/ub+zv6k/uD+x/7v/of/B/8n/hMABf/p/v/+8f52/ocAof20/pP+q/46/ycACv9u/hH+Uv52/wL+//8c/gcAN/+R/w4AuP/9/+cCbf6CAin/+P59AIz/RwIc/+wAWgCb/jQClP8aAHMBpfyIAl4ABP+N/NcABP35AQj9+v4C/pP8rwD5++AA+/6o/ZD/NQE8/KQDj/6y/xQC4/1Q/OgE6vnz/mX++vc7Axj0nADi+PP9qvsn+uP9UfsZ/U/44AU89GUEvPWB/MIAl/9u+SwFmPQjB/j7xwHd/TkACv06/gcC+fxY/pT2tAQs+YIDZvc9A4326wCM/W//WP/2/bD2KwYr+ZP/KwLu8lwK/PFcB870AgIn/Qr+xwEK+asAF/qjByH2CgdK9DYFOvf7AWz64gIg93sDtvps/I0HQPMjCKb3ZwGl/R4AHvzOACT6zgYK+30GUffbDTD2tQew/iz9iwO/+joE4/0Z/Br/Wf8uAC4DRwCXBAz9YgN1/8j/nARK/KME/PlGAHv+rPoEBOP9PQKe/mH+Hv9dAND8FAQe/RwDM/18ATj8kQHN+1gGfv2+AmD9mPtwACcB0vyuA7P8qf9q/6f/NgC2/kwBL/3cBGEAlf/EACQAO/2xBP4BkAHGAGz9cwE2/toEH/5FAX4AkACd/7QBFf/IAkz+BwHNBHv/TwQt+y0D4v6mA0/+cgVF+bQELPx2/0oBMQFe/3MCxPwgAdn/Wf+/AmH81AJ0/a0DpfwGAvn9kwBuAX793gH7/+n+2P5lAdz8pQDfATwAdv5dARwALwCaAQr/YgJ/AT4C+f4lARn/uALl/gQDEwO5ALr8/gCjAQ0DmQA1AO3/U/+vASH9qQMLAD4AtQHp/97/AAC+AaL/qgMS/9QAEQBx/pIAT/8DAzH/RwEe/5j9mAEVAGUBcgKjALD/e/0yAX//AQOz/5D/AgI2/XsCJPxhAkH/NAK3/8j/+/ysAc7/BwHZAuoAigCNAMsCEwFTAdIASwR8AXsDOf63A9L/mAGDAUsCWgK4/jUA1QN4/g0Duf6TBPUAcwDHAGf+bAENAC7+jgBh/6j/f/0EAZr8AwKiACICSv+aAMX+GQEy/98Bc/8e/4UA5/30/wEA5gGU/eABcv4xAgb97v83AU79hgFbAKIAsf5dAj0BmATl/6YDdQH6AHgC6v8QAHMC+/0oAX8Alf6DAGcARAGzAkr+6wHUAA7+NQLRAXcAlf/L/uEB6f9O/0MCk/7Y/+kCZv2KA3L9DwDYAi4AhwCH/zL+TADgAQL+uQFW/VECHf6wAQQAuf9e/msBqv+3/xv+OgCt/p3/pQD+AVoBUf7DAkYB8P+JAAgFZP9b/9H/BwMx/ugCDwBwATQADQL1/usBTgCbAEwAhgIG/VsD4f6V/bkAcAHGAGL+7/xUAFn9CAEYA379K/0AAWYB/f/o/o0CwP2U/gD/CgC6/FgBSPkmBVr6kAH1/+78YwMqADT+hgIQ/uD/yv3zAFz93f7P/zH/P/9/Ae/69AMT/RkFufy+/8T8fQLf/nb/Wf+oArn8PgOMALv+GwBIBOT6vwOb/3j/tP6j/hsC+fkeBUf/Jf3wAGkABf0K/8H+rwGHAEr/Cv/8/Qb9WATm/GMB0QXp+W3+kgIt+m0F1vv/BXX7mv49/18A/vxjA839hAIL/+v87gQC90kH3fxhAxUAbP6ZAS/+3v39AT8CqwD3A6D4SQRD+7UFr/6GAWgCavzzAGsBgf6m/z4C5f5fA3z8egHC++oAn/4FApX+jgAw+6X8t/88ANv/C/8S/av9aQHo/MMBbvxQA/f6wATX+vcBa/w2Arb9NP0gA7X9HP+m/pYCJABRAKcBBQVl/8IEXwBR/8sDIf/+Arj/Xf44/7X9f/7EBQ3+UAFQAtH9cgTO/9sFJf9eAb0CEP2M/xADMv4QAeMC1PqMBSD7eAKlAVv/O/7PA7f1kgn3+dH/o/9P/pkAEP1EAEL+XP6/++AAzPsFAoD5FQdm9I4GbPzQAJQAMQBT/LUA5P8NAHH7mQM4+wACwP1oAMr8uP/ZAuD7awHwACL9OAQs+5ME2P5EALkDNvoxBLQAbvvxBeP7z/6tAb380gBQ/BwCUf0D/UwBp/vV/038gAIj+8r/1v2r/rT/Iv9JAfn8Tv40BTf5bwJo/sn9OQAC+qYG+/YPAusAqvehBaj9NACpAFD9/QBn/qH+GwcG9rQHJvniBUj62AYX+0sFov0sA3D/7ABCAon/tQBvAHL+zQHTArH8KgI//w4Dgv2IBer+Rv0mBMT7zgIt+1oDPfyZ/d3/t//A+XsGCfrAAA3/tv9D/gkA4f8J/iwD+f4T/wUBXAAnAAwBCf48Ar36qQQA/Rj+wgLu+/sAIwQU/tkCoAAYAEkA/wKLAAkAAQJX/mcAlADk/1YC7vu7BYz9lADVASD8CgSU/HsDK/9d/1YF6vuHAkoDnfzLCFX8ewGhAWL9WASO/SIBxgG//NsDGv4tAYcAf/78/iQCfvt//h0F6PhABDL+7/5cAU//lAOk/hUBNAE0+kUEQPt6AYn98QA3+bYFbPsc/mIDA/uIAsQDRfw4Bpj4eQT5APv8Dwin/B4CGQGbAKn+ZwMEAf8CgAC+AUIAIAA9AMwCcQDsAskB9v2iAV8B1ftQBaD8LAG7Ar75VgFU/BD9fgOc+S0Dl/pRAFj+qfwWAO4A8gCpAID/ggGL/wkBagLq/9kBNgR4/VAAlQKw/mIBpgASA837kgKx/3X8NwAS/kH6Ff/k+0L45vw4+vD5Wvyv/ZT8/P8fAcMB+wB/BQMEJAgnBicISQbHBqgKsQOeCSQH8QNAB38AOQPhANb9xP7N+o/6ovi09RH5f/Jc9qn0FPM99KL2EvTz+WL7Kf2sADEEcAarCNEO+Q1RDsAPkw7+C+8LlApQBk0ElgNG/sf/if6C+hH5+ft99tD28PcM8W/0b/Gx8l3wJ/K188P0VPl//fX8rgUwBhoLDQ6BDssSXQ+yENgOKwqJDG4JnwbjBdQDRQJEAIgBPgFM/zcBbvy6+UX6nvTl9wTtKu/t79PneetA7VXojvKo9Zr3Ev9KAyUHHgwADzARfhP1EpQS9A3dDbILsAV1CUgFyQEuBY8B8v8QA1kBjv4j/7b83vjL9rn5WOma7AzzIuXI6qDwEOam8Cv2gPhz/tQHJwrrC4oRShVRESsY1hOYDhoN6Qr+BZMFzAVDAQgAeANq/sD/0gMB/5v9vv6q+Q30KPpv8T/iM/mX5Bfix/LI4y/pf/iN8ub77QKXCv0K/RH4F9YW5BXOGV8RIg9wEI0HrgP1BoYBpf4nAfwAdf7bAycCxv+k/VEAjPdN80QANt6O7yX1H9WQ7pDuVOB19hn2+/YjBfwHYBBgEncWGxzOEwEW3hn6CuwPHwyW/ggG7gAH/AIB/P7u/+cAvP97APz8Cv5b/wbzWvhw+DPW9fmj5TXXy/SH5ofhXfv78oL92wibDckVuhbNHD0edhSxGuoXNgnUEEwJEP53A0r/fvluAKwCBAAkArQC9gCn/Y79Xv4b8Gn/s+cM20H+edQv4Hv0Yt/C6kb+0PS8AzQMsBIiGC4Z4yCHHiATJBy4DgIHcgrrAG/9+/zh+rD7Ufs9AOMDzv52BtsE/vxE/uz8ae0X/7Te8OF/93XRBuIc8jzdZ+8VAHL5lAlFEm4YkRyZHbgjvCCfFnIbyg9bBgkGdAHC9vT5WP8U9nX7OwW1/08AEQtVA8QAGQJp/DHvWv3w4FPaFPcN1Hnbo+2m4szmrf4C/pgH2xF6GhMf5xysI3ojgxQ9F2UTfwPzAqv8efvO9lz4ZPus+rD8EQcIA40E2AdZA779UP4G8EH+xd3w2b/4XtS917XyPeKL6lMDJwKrDd8TVh0qJk8ebSM6J50SsBK6EkgBpf/w/ev1Zvdu9378Mv+J/sAGhgcTA/AF4ALV/SL47O4d+ObZ+9ZR8izVP9gh8Uboc+q9/38GlhC4FQseRCjXHO0eEyYBFKUOsg8OATz+qfj08mz+jvXK+H4G7QDxBX0NNgi5CZQEof8z/LXr5vb44RPQr+3c3CjSFul97tbtyv53CJIVaxfOG8or6CNJHRollRhXDRoKawBo/5X1WvVq+lP1d/ecA6ICBwVzCTwIZAldAC/9efuN6aLyj98Y0wzqkdyC1mfqley08Q8CiAizGP0adhs+Kt8j4h6dIawYkA/kByUAhAAv+Mz2n/xO+wH7oALjBdwI4Aj2CNIIMgBv+/73+esa8/vhqtPp6erf/Nea6j/w8/QG/0IIyRasGm4ZBycQJVQdOxxOGc0OqQWv/iAAyvgR9C76PPvm+Q3/YQQjCA8H2wVvCbH/5frS9n7suvEf5XjU0emw5V/Z2uk48OT2qwE1BiIWDRz4FcAh1iSNHmMcjRdVEpYJx/4IAVn+hfbT+jj9+/wFAYsBbge6CAQFAQilAnD8pfco7nzuQe3s2YXhter54jTjfu3Z9Lf+9AC1C7IY+hX7FUMe3hx2GsUU9BAhEEUEiv6o/1n9+PqR+1v9of+2/54C7gdsBKgEwAG1AHX9TPXy75nzmeqU33boq+wR6Z7phPCa+gb/XgFJDV4UBhSIFS4YyRlrF+kPvg6SDZkF8gC3AGb+Yv4g/gz+rQIVAZoBLQQ0A4UCcAAQ/m76OPa08t7urvHV6T/o5u377lHsTPE09mH86wHTAh8K1w1+DpoPYhFVEw0T9QxUCSwKKAaxAx8CYwNZBPsA2gDoA5EDzgSuBWMEzgI4AGn9uvyO+fT2g/GC9Snx/+4V8NnzAPM38pf1gPuA/27/owNIBnwI2Am7C2sO9g7nCxIKRgdDBmUFXgM1BO4BKAMuAK0CwgLsBc4DzAPPA00CZf6e/cv5uvmy92b1k/PE9eryWvGn9KH1KfdI+FL4UvxT/Yr/1QExBesGkggOCRwK0QsvCswJFgiYBq0F2gUcA6AFqwNoA44CfwW/BB0FZgSJA9oBtf8w/kT8M/1y+CL77fYR96z2o/TA9YH44vbR9hz3RPdN+mj8SP5jAKIBhANwBTgHhwj+B4IHTgeKBkMG7AUABEIEXQQgBGkD8QLTAy8EXAWAAV8D0QBiAQ4BvP9SAI38gP18+vb7QvlT+O73Jfjn92P45fca+Nf6UftA/d3/xwE8AaQD1QMZBcIG+wXAB/MEDgZJBTQETQXUAvQEcwPFA1UCSQL5ADQCDwHJALD/yv7v/aj9of32/IT7gPp0/CL5P/yF+M74efhT+pn4m/qj+hD7Xf2J/Sz/TQB5Ay0DrwX6Ag0G4gTtBvEGgAUZBooEiAR0BF4FAgTlA20CLwNfAJ0A2v8vAVj+pP6h/YH+J/2E+6b+EP6H/RD8ffui+936SPqP+qf7xPjn+iz7lfxQ/Dj93v6xAH4CXgGdBHEC9QNYBEsFYgXyA5AFWwOnAzoCxQJDAcgCRwKFAmUAuAGD/+X/oQEdAFQCA//G/zD9l/3K/PP+LPz+/ML8iPq7+0z46vyk/Af+HP1R/Uf/vf24/6AByAKSA0ACQQKqAtcD0ALYA9sDDAPjAjoBEgOwAe8B+ABhAcICOAA5AbsAwv+tABb/Wv5//mj+I/1Y/or7V/2C+rb+Nf4J/V38PP1V/Qr9//01/UP/5/5v/4b/nwApAWgC5QS5A0EERQSMBCcEgAO/BNID7wFrBHcBCQG3AYoCMwEgAg0BcwDT/23/HP7LAPH+ef2s/6z9JP5O/Qz9Qf5a/pX7pPz++aT8dfsj/HT7bf0z/dn/Mf7PAcb/KwKkAbUD8gLwAgsEtwGNAw0B5wQdAtME9QEPBJkAkALWAH0DlgK/AhEBAAE5ACYCAwAYAqwBMv3s/rn9r/3b/Af8SvtH/mv6Bv2a+5b8B/5J/AX/Nv4v/wD/KwGS/+8AFwGTA1YC8QMbAuIDnAIcAwIDTAOtATEBQQKnAr3/sAEaAEQCk/5EAf39nwCB/Vn+pv6L+zP9F/1N/BX9KPz2+x38s/on/hr6mwD/+loAPf1kAc3+6AMjAE4FxQIoBqcB8gel/roIjQCYB8wBmAR4AkYB1QPQAd4D2f5jBbL90wEk/RUBaPy//3L8IP0D/cD7QfqQ+jn59/xe93v8Wfc4+9f50/mQ/0b6SQHn/UYAbAGK/00E8AGjA7cD+f+TBGADPgILBo4CvwWMAscF0APhBN8EVQMcA1IB1wCOAof/jwAz/0//mf7d/Q39oPwb/Nr72Psk+mP6pvku+y771fu5/L39Af9Q/gP/p/8MAQgC9gA3AhcBSwLIAZoCzQNsA0oDawNFAocCUALYAYEBJAEm/7H+z/7f/pz+Gv+4/uP8qf0+/Y79mf1o/l392vwK/LP8Z/1e/pH+Rf3u/TH9XP52/w3/BABZAboA+AGnARIBCgOfAsQDbAPAAcIBygDMAf8BOAIiAE0AggBY/0MAYwCv/yv//v4V/7v+NP8U/jP+/P4o/vT+Ev7N/jH/iv6u/aP+4f5d/gn/A/6f/tf+xP4B/9wAtP8TAKgAdf+uAOwANQGiATUASgCbAN8APwHvAP8AQQAcAVAAEAHpAE0BqwDx/9YAEgBLAFoAsP9GACP/mP4HAOz+Gf/u/rX+vv1F/sP+Iv69/wb/vf6Z//r+kP5KAED/QP+X//X9df65/bH+p/7M/sr+Wf7L/nz+3/7X/xEAp//+/3b/rQB1/7X/4gDrAAkAcwAvAC8AawC8/zf/5AC6/5v/Xv8j/4X/VgAF/+b/qACL/yb/Hf9f/93+EwDe/q//GP9n/2X/Sv8Y/z8Ad/87/lH/PP6g/pf+iP63/jX/kv/k/lQA7P+m/2H/9P6Q/8X/i/9E/n/+u/6v/rT/sv8qADwAh/9w/n/+hf/5/xIAJv+l/jb+qf/7/98AmQBeAaUA1f+1ABcA7v+xAaH/zv8N/07+c/+//6UARwFXABsAUgBzADcBbgHtALD/Ff9e/m/+sP9s/0P/Hf8+/mX++f7H/2YAQwCQ/2T/P/9o/93/ZwBdAHT/j//9/ov+yf+z/yYA2f92/+P/Ef/S/5f/CAD5/x4AZv9dAID/7P9qAGoAOwHoAXIAvQC8AMD/iQBlAMIA7AD1/57/ov8FAMcAkAE4ATUBhgBtAIMAvf/dAMUA0AAKAHz+jP99/5z/2v8UAM//Bv+T/2P/Tv/7/0n/2P+H/6z/j/9WABcA9v/9//H/mAACAUf/Xv9W/zX/Pf9+/vz/AAGK/4oAIv/P/4UBLgGFAZ8BXwBbAAQALAETAVgBkgGSAKQAKQB+AOUA7gC3AawBDQC+AH4AQAH6ANAAPAAaANH/ZwDF/yoBwv+fAP3/9v9vAF8Ai/8AACgAVgCk/pD+vwA9ANIAjgDQ/6j+tgDkAPH//AAGAT8AWP8Y//v+gP8SAIIAiwAqAML/rf81APcB2gIOAvgBRgBcAPj/WwDVAJwBawF+AMf/1v+yAH8BlwGzAVsCXQBQAAkAjP9lAXsAjACwAHUAZP8P/3X/MAEtANUAgQCp/7///v6v/n8APv8JAa//Hf/a/v/9BgAyAf0AbQD9/8//2P7i/+z/jgArAKz/rf/W/xn/1f+2AOUAuQC3AE4At/8dAHQBVQD4ABYBCQFNADsB6gDaAIsB+AA5AeQAxP+nAQ8B5wCZABoASACRAWMBuQHLAJr/XACZACkAFQGCAKX/+/5F/oL/tv/P/y8BOAA+/5j/AgCP/24AOABWAFj/Nf/J/tT+if88/yQASwALAP//U/8XACv/kwDbAKUAu/+B/27/kP+CADsBsQD6A8X/hgAcBAUEYQELA4oDTgQ3BYP/jAIjA+P/nP+rAIr+twA//tX7vPxG/hf/tv0e/kr9T/6E/Rz9Vv3T/pD/DAFY/wAAVQPUAaUEowLtBpwEtgMvAOABZQHw/un9S/2c/SP8zPot/XP/Dv/I/oL/AwPj/9EA6QAhAV/+MP3F++b/if17+/D+qf0k/1L9X/+T/QQAMvyn+sD4aPpq9/j4o/sS/Wb8fgDqAicENQhACjUJoQsiC8YFQwWmA9wAB/16+/P2X/T88d/uEu2L6urrAO+L42f1PvYa8QECdQzqC1UXaRoFHCQgIxPXCpMKBgC881P0yO6s7ZXzLf7HBIoPhRIKFAoR0wwYAfbzf+ec3rPU2t0m2k7KX/GaA6n/IwtpHCob2yCjEroRqhSVBNv0KP//+339x/0VBJ0RpxFOENUZmRi4DOQEsgHJ9vnlAt3S1lzR7NhV8YKofdYQJgL9iO9iEIAc3iquGXULDyzvEbntiPSz/T/01u0C69IHzQvyBYwfsiyNJE4fnRzPF+8HA+687LPlINHz0P7X6OEfCFHCsNH0M24GCesfBHUTIhxJDTf/OiyLGzf8wAoZFLwEPvmg630AGQVt9IgOgR+KHWodAh77JNcb4v43/pj0JtwN01nQpNmv3akBtc21znkvfQeJ7EkEaw/pFSsO2f9pKBcYuv14C7YU0QKU+27w2/5s/zny2w/hJCcTDhuuKbIhHxXbA4gBtPrj2qHXdt8y1nrTxv3v+yGwvgo/IlLuw/NZBEsRyhoE/aAceyxsBmoEfBGnBV/8E+0w8jgBQ++dA/seOh7QGGsjXCe7GkQAcvrt+Azf+NbC3tLY5tgc4iYTm9bDw3MqTAdZ37r3/QEPFa4M9gEbNdogR/4uD6wPMP4X8vfqCP4l+nLvlBINKFwclRtCLI4kKgq++Jj4f+oK3NHYg+DP443YLfLcHoay5tpaN4jqfuAL9iADVhtNASURL0AwEtoBJRAhBz330eer6bz/+fCV9bYh4iU5GjMkoyb6G70CUPWp+JvfANet3DzgleOe3swAExTKqHPr+i3u48vgSviVDWMdCQG/HPk/2A+2ApoQsQWd89nmSuzLAKDyQQARJ24lDCOIIn8itBae/LP1n/Qs4Tzb/uEk4f7rfuAsAMEZFqom5WIsjeCu28n6/Aj6HAQFeB2IPFAQnf5GEbICOvTn6ZLsyAJn83X+fyhqJ34asCLPIOMU2fkF9IP6KeSL3jvrqut15S/n/Pg/GyO8CMRQL1rww9Ph+BoNVSB1DykWmEGUGln8kQqABlv2CeqD60sB7vs8/GkmnStKHrUeSB9TFFn/T/B79S3o7t0n4UTuQOdI5tj3rheuwsDBgCQg+ZrYOfH3CdEeDAsCFPM5cyAr/14G9Ad4+JnpYO6zAk39cPy1IXAooCGBHGkejxgRALTzMPj/6Hji5Ob95rPuTeuL6hUeD9Bvr3ol1gLx1ATwNQaAHvkSSgxsPZ4mAQE/BbgKD//y67vomwDi+zrxoxmJKHkelxccGxcdKAf88VD+jPH94ovlEenB6m3pC+ZqHMXfhaUdH0wKQ9336EP54x5ADXb/tjJcJd8BBAN3CnANwPbT7qEG9gOn9+QVDyAWGoUaMRNLGxMKNfcVAj33d+0/8Xbk2u8Q7vTaxw//7DycfAy3EiHf8efj8WUeuRn9+tgrrynGBXQAxQNWEK39w+vBBAoJVvaaEOse4BuxF14NBBoZDaT35/t0/HvvdOuQ6drr0+xx3OX/APuMnV33RBcT6SLqVuvKG88kE/+8IawvrQ0RAhX/jhEqBjDrl/yCCyb93ArdHqUbRRtDD0UVBRVq+a755P728iztR+FW7JLtD9sV+bQEb6Yt3eIe/O586CLmFBMDKo8BqBYHLC4T8gU0+RENaw4r7nX11gOxALsMPhKnFxMjCg1VDugP2gH//aP4p/Ja9iLlcuXG7XPkiPSVBheom+D6GuvueOq15Y8Q4ioYBZsUAiuFFQULw/jjC3cQLfPG8qkGrACJCZIWgRdGHRwTLQ3eEr4A/PuK+Iv0RPHh45Losud438z47/7KpDPlQhop9CLmEt3kGJorMQONE/0l2hgEB/7wRQ7WEHzze/FwAYEHug/KDm4ZmSZTEMwNFw1hBvv/C/Se84nyeej44xfpDud7+7L7m6C96iwdg/IE55veVBe2Ll8DgBIZJsAZ4gts8IsNWhGf8/XtMP/jDPoNLwjoGokjTBBZCQcJVwwo/mfwZfAC9ODnVt1F6pblxwIc7rWcsf6NEVn0huB6398hmyjTAn0Umx40IBoHHPHdEdAPwfbE8fL6qQ7YEcQNfBl6G9UbjAo3BxsIrf5K+WDv++7B6s3g6+W75Y8JBNyfpKAKNQqI+6nY7uRBKtwkAAgxEHEZXSTH/+Dw/gw9DCT5W/Cp9zsSWBTYCk4aRB3YFYsImwLqCkj+Hu/u7dbucOk53pnktuoSEtPCBq8SF4UGh/qEz5fuHTYMH4kFBhFLG1cqhfmW8pUQSw3x+qXtqfi5F7cXqwv+GZEdURn+Bmj+bwuHAYrx5+rZ5GrrxOHf4U7yqAcvq2vV+xDAAaT20MwgBJYwIBj6C9UKNB1VJcXwBvpeCp4L5fwM6eD8BBxUGacHQhXWHrcdpQD7+noGEQLr8tTkhejt6nPmON0MAKH2wqnJ720LAAag7bbQPhPqMhwYKw/mAoQleR7H9an+1wY/DTb+1+jCBCYg0BWODTgPCh8GGU3/Svr/AVMCGPI84DLmm+re6e/f5wnWyBXCogSo/fAHPtVt6DolxCKgG8sGYwlbK9wHFf3x/SYFrQtJ9E7y1Ql3IFYV3wypFfwfpRUR+9/4bAVMA07v/9y74pvvluaR8qL7367y5fIGAgdj9yzQTARDLfQgYha1/0Ea6yI0/6v+l/vECrUHfu1e+TkUihwgF6IJZha4G6QL0fym9ZIA0vyk5iLgj9+t7bzo2AXxyQ29OQN4A0cLxdLB4Jsh3ykJIMIC6wIBLN8QnAEv+VgDfxFr+yLv0gYCGSchQBL2Cv8cvxRPBzD5yvgPA2b2Z+J8203o1uz9+8HxSKv37hYHXBDh7mbKmAhCLocomhIz9aEcaCQNBdv8rfPlEZEJDu61+4kOdCNmFxAIoRbEG4EQ1Puo7kQBb/uj6z/a8t256znyCQglsoPTHQHaEAwLzMaV7ZIgCTJxJDP0nQqqKJAV/AXk7/oF1RDF/4P4pQGRHEcfhRIYDskU0heRBvT3qvok+cr2T+B+26DmrO6YDFrEcsE998AJZBW10DDg8xRBMjQt2PkF/Zkhgh1qEEfwL/iADB0FN/mq92wVDiZqGfgIxwkSGEcQVP0K9AXzAflg6WvZyt4L5oARhtmzu8fqSAHdIWvi3dW8BFEr8DuTCFH1uxXMHgccAfgp9K4FKAddBU/1XhCGHBUYchZqCrgYcA5p+lX6i/KQ/E/opdmg4C3evw694P26Recj9l4inOlf1w77wiCVPtoPq/UzDXQaqyFa/tnu2f6pBm0FvftfB0gXXB3CFT8Npg5BER4Eb/mn8hzyy+6x3qzeK+G+CpPcncht40L9phwz6+bf8fhSI247TBCq/JIJYxgJIu3+//UE/GkG1QQt/P8MhxWqG04WQQt5FFwMfAQu+d/u+fWX6nHhVNmr5HkH1c620lvjCAg9EmvipeOw/wYs2TUTByb/bwp+GpQclPme+WT66Qa+Bbf+Ig74FjseBhkoDsgSJQmPBNf3m+2P8EvlY+L+2jz42OnKzuDlSvDYF6L1Y+P38SgSYTZ0G9YBxwcjDuAgCgy2+2r6SP7HBjwAFAXlDxQZhhuREJMOMQ+5CJcCnPGJ7GzoN+IZ20XqXPaiz8XaUOT4CLoK0Oca6qn+FCofKrMIRwWsCX0a/xn+/mz8xPr6A0EABQVBCpAXwxoKFh0RdRJ8DtEGlPjS80zpc+Tr26PfAfqQ2M3XIOFD/X0PdfBV6gf3VRxqLb4QdwT6BkYUFh3qBvP6PfkDAgYCZwKmBsoORxfcFp0SpxEADvYIyv2E80LtgOS33qzd1vP93A3WFt7Y858Lf/P07IzynhH8Ki4WYgiMCMoRQB6EDQcBIfyq/sQBDAKhBU4OrRR7F5EShhKQEssKJwR59ers5OXD3V3gnu1a22rayOCk91EFl/Vo8b71axFXIFgRbwhMBZIRwBplD/IEHf17AOAD2wHrA50FPxCoEacOMg1CDNsMlQXV+g3xHOgN46jjhuoy3jXeguJJ9on9HPYe9Nb59w+cGVAP9gg/CHMQ2xaID9sIZgN3Ao0EQgNdAwMGEwpDDRgOJQ7jC3oLKgkKAln8VPTE7frru+kM5SjhVeSq8Dvx7PGJ8Rn1BQUHC7MJsAdRCJ8ORhO0EKEL+QeyCAYIoAg0BhIDNgUMCHUKFwlTBwsIIAnBBs//F/mr8430APLY6kniu+Wc7C/sA+5+7fXz7gAzBCwGYwiFCd0O2hMUEdEOXAunC7QLYwq9CM0GWwgbCm0LfAnnBiYIXQeiBmEBEPkw9VLz7PGu6hTiJec+6Bvqreu36Vn0bf6rAEICXQUzC0URUxGxDpgMswstC9cL8AoDCVAHmQciCpwL2gnnBjAJkQjRBIIAm/gX9ln0TfLi6zPlUelz6bnp7Oui6+z1+/zF/14DJAaYC0QQFhHzEIQP0w58DsoM8AlvCTkIXgr0ClQLUAoLCF4GlgW5A5z/0/mM9Ubyku4X5wXlqOj76EfrvOsr7UH2+Ptf/foDrwfcDNEQrA/5DfUMTg2hDroOUQxhCs4IBgq7CuYLpglXCY4KpQc5Asz9Pfld9q/0ePCM6fnnmek858jrMuvq71f6vfwlAOIE7wfhDbgQLRFtEccPGQ5SDjsMkgqhCXUJ5wmFCdQJjgjFBz0GewTrAT3+l/hq9ZHxwOzH54vmGOnA5zfqeOrh7zD4yvtvAeUEfQitDmoQbBBuEJcOxw4XDbYMYAp0CS0KxwqfCRkKjwhfCHQHPQTsAfH8SPkZ9UrxZexZ6Y/pK+n66fjrl+zZ8YH4A/2wA3cGBQr+DmMPchAAEPsNzw6SDSkMQgkACEwHawheCf0IUAi4Bi8GugGu/jb7NPeD9DLwNOt06OrneOjP6UjrXu1f9HL6CP6+AgEGqQkpDk0QWhEsEWQPag0ADeMKZAoYCTQKywnMCDYIvwbPBTcGDgNEAbf8DPjX9Svyfexs66/qHexS7YHtHO/i8xr5F/6mAhkGnQqRDC0OVw3RDQYNLgwQDFkK9QYwBgIG5gU9B0EH8AZaBqcEFANcAFz+NPut96/1EfAn7gDuDu4a7oruqO+c8wX4CPxm/3gB6AMZCHkKuguUC+QLkwtmCiMKLAiiBpgIGgdgB58GPQZqBecFBQY/A2YE9v/m/W785fjq9c72QfSS87fx8vEK81n0hvbP+FD7aP05/4YA5gGNBRcHIwhFCAsHnQZBBhYI6wYCB9gEIgZAA8sD6AO+A/IE1gKeAFgA8/+w/mj7Qv7E+/T6+/jG9VD4FPjK+NL3Tfgx+FP6Z/y9/Yb/yQEmA0cFXgUMBroGUwjVB1YGpgX4BcIEQQYJAuYEGgLzBHACewPIAI/+MALG/d79yf7y/An44fzi99L5c/gC+xz4jvef+M/3G/oi/ZL7dv/X/98AnQQfAhIGpAT6BW8H0wLKBjMCOQQeBigD6gQQBbcDNQYgAx8BeAMaA1b+Tv/Q///80vjc+J37W/qQ+nD2ufqy+Jz32fs2+3r+L/7r/n/+wQJP/yIG5wHZBQIEEwQUAlgDNAQrBSkD6QPXAuQB6gN+APoCcgAZAin+G/6v/Fr6Z/sr+h76A/kt95v4jPd0+MP5FPtH+hb8+/wu/T4AUQGiAS4DaAXhAhIG6gVkA1kG9ASCBJcDQwXKApkHSwErAxEDwwPeAUwANf8//i/6o/zA+iD4Dvkr9oT6nPXr+Sz3lfij/X37Mf2F/rD/hgG7AeUDAASdBSQDIQQVB90C1wRMBX4E2QNLA2YEvwNgAVECxQHD/vf//Px3/MX4wvtT+u3zIfda92748Pen+pD3uvyg/u/+fwEbA9ADbgNJBvwEKQWlBIgG2wWIBPIHaQIdBRMHhgXSBdMERgX6AgkD7v10/eT+G/mc96n3CvMV9WvzL/R09Tb2BPmq+hv+/f/XAUEFewb8By0JqAdpCZ0H+QS9BQYEvQNDBkwHnAPVBX4EkwSPBS8DdgJN/I34RPQO8kzxxe0R7RHsTO9j9bL2jfkE/nUETA0MEd0NawvtC30MJA0OCfkBUgE3AMb/WQL+AlYE5wa4CZYJVgd3Aq7/o/pu9BXtFO545B/iIuE/5RTyQfds+nMA1AebEwUbFRWSEoMQAA7xDBgEzv0i/Df7l//LAUQCgQmADAoQSQ7ICCgHBwAy917tK+Yx59TbGNm/3MTqnvmb/fX+ywfnFUAiuiOwGMoORAsoDKoGp/+a9J71cPoaA5oIZgqaEdwUgxYFEkQJWgNS/XzuGOGa2QjkwNbl1gfeuO4tAJ8FQAKrCQEYGyVpIy0SmAbTBWEItgTL/dP06vVm/vsFjAzxD+sRvhjVGPES0Al7AGf3Ie3t4CTVP+Nf19vS+9xB7qACnA3CBbgI1hcHJLcmpBUmB/8ERggeB2//afL89qYCswssD5IOaA+gGHsaBxSrB4D9U/gA6wvf9NHY26zd49Jn2zrrjP4oCskFTQaoFZUjNyRpF5kEBQLfBlsIUgNO8lr16QAkCj0OZAxQDqQaJRpQEp8GiPkc93btLeBq0vbbL97m0fTe/+tLADoLFQvUBsQW3SGcJKUYKAiiA4gHvgidAvL4FPbr/ywJNA3/DaoNJhOGFbYOhwSA+t3zwunI4rbTgt6t3RfUg9+68KL9ogtTCAEFtBXcIF8hUhW0BrwAkAibCP7+IviO9kkAMAsgDOgMbg3NEWIU3hGlBLD8wvQZ7iDmD9y/343mmdsC5BbwC/gWCfgKPwZNDDUVoReEGb4NtgK1AxAFMgamA2n6cPx+ArUHdwwyDIEK/wy3DNsHQAOY+fL0mu226kbiCecr6eDjteqN7wr6AQHoBIMAeQd2CZgQSBHkDREE6wXGBNAKSwnDANX+6//PATQJJgqRB4UIcAQBBKEE4AO+/A75UvOW7kDtSvLx8FHuGfFK9Of8bf79/679jgOFBeQMbwvMChMFkgSTBV8JXQfVBH0Ay/44AN8CvwQlBQ0FrgTwAzAEZALPAMP8xfrC+Az4OfMn9TDxyfMd9e/1H/nm+e/81/zU/xwAsQRVBpEH3QX3BtIDjAU4BakGAQVhAxAD5QT/BIsGEwULBrIGMwUtAygDdf+3/jf7H/32+Wv6qvjb+N/16vgQ+db6iPpq+yv7yv62/lj/WwNXA5YELwMwBM0CkgNmAuEC9wBAA+EBGATgAc4CHQM6A+ED0wNTA8j/cf3//mf/f/40/Xv72vq1+vj6ofmr+1D6vvmR+uD8I/z4/Xf/ywDT/xoERgKfAxkFowHYA2YB/QK7AgYCSgMzAhICjwNwAbMD4QQEAlQENf+W/r7/+//R/rr+Rf0u/er63/5H/o39CP9N/Gj7sf32/fH7B/5y/Bn+GP+X/6D/WAH6AKj/cQIbAqEBawAXAAj/qACJAFEA/v96ABUABQBfAWoAzgAZAa7/8P/l/rv/awAv/+3+jv+UAFX/a/+uAPwAhwACAFwArABFADYBMgGcAP3/HAAVAZMAzgAPAUYA/f8dAE4A1AASAWT/jgDa/8r/YQA7/yb/Lf/S/8T/KP+t/sH/PwCg/9cAZADJ//P/jP8dAGz/5/4z//L/c/6K/1X/dgELAfMAVQEaAi0CzgG3AbEA0wClAGwAuf93AO4AiwCzAIsAtgHrASkBIAH4AF//igAyADYA8v89AGUAOwAEAGIAbgBwADgA1f+S/sH+f/4d/5D+wgBA/9j/VABbAFoABQH4AIkAgwBP/iD/B/8W/3H/GACi/07/nf8jACkAggDCAI0Auv9x/5r/yv9QAR0AyAAGABcANgDBAMYA+ABYAPoAEwDK/xwAmABZAfcA9P/U/yEAi//AAOoAyP9DAQkA3v8UAMUAJ//kAFAAkP+Z/2n9Bf8v/8X/9/7h/9X/5P4M/4f/SQDV//H/EwDt/3r+/f0g/3L/WwCGAMn+0P7F/hAA3wAqAY8Aef/5AN7/PwBhAKj/BgHjAC4Azv9wAG4AOwH0ABIBugHuAOX/BwAsALsABAFO/y4ALAB4ANAAAACJAGUA6wD//xL/gP8Z/yL/Jf+O/4z/pP90/7j/e/+Y/wgAXwAV/1H/xP9l/kD+yf67/wD+JwA1/2z+FP+4/rAAdADO/2AAIv+p/6L/Mv8TAFYA9/+k/6b/Gv5DAJ4AbwGhADj/vgDt/+AAOQB7/24AuP87AFwACQCK/+7/vQAwAREBxwB2/7j/uv5KAMr/AABV/6b9Hf/X/p3+Sf4DAFr/ov/E/kz/H/6//rP///6I/6v9pP0B/kH+iP+U/xwA3P5G/5H/tv+J/3v/mP/N/jn+Lf75/kT/Sv94/1L/FgAuAFIAiAAJAXQA5v86/8/+dwDj/83+af8fAIP/vv8pAE0AvAA2AA4AkP/J/hf/jP8GANH+CABE/4P+6v9S/1T/0P8r//H9mv6H/uz9rv42/j//+P7R/sL+rf53/9n/agCG/939x/3F/kP/pP4D/x/+ZP/Q/WX+7/+VAFoATQDO/3X/X/8oACYAvAB/AAwAmf+J/xz/HgGsAAsAyQBQ/wEAx/8Z/+L/YP/l/2QBG/81/y7/AP8nAM7/gQBX/zv/cf9L/3v/8f8r/z3/9/5o/37/Gf67/O39JP+U/hr/tP9M/8P+Vv+4/qP/uQBpANn+gv7r/XD9Ev8K/6kAbADc/ygARQPCAJUGgv1jAGQK5wdq/fvxY/+6+1UnlfK+4u3tzBmnK+EJwNQY7i4ZnDAtD4zed9VNBfIcAAcd5mjg5vt9HWgM4uaT+wwbCCONAazftPnhIlMZG/CE30Tv5RotGFbu6eqYAbwQbRD18pPx3wboCfH6qPIH8m4DQQZB+gLyuPrkAd8H4AHK+ir7kgWKA6UAqvvd+o8DXQQN/iH7OPuWAUYF2/4m/IoBkQKvAN38IfsxBTMD2wAo+/b9pgCEBFn/Pv+uAHUBXQMD/n//QALsAyb9Ivw6AFwDhwDy+xr6BwGGAmP/6v3p/nr/SwCT/dz93AJi/6L9Ffxn/0cDkgBN+0D+2ALGA6n9Cf1e/7cEDwF5//b72QJkAhj/wP7C/gwE3ALW+/L+yQCvAeAE1AL//2r9vv+QA3sEIAPF/fr+dQFTAFAD8/+3AUoC0wCv/1v/ff/CA+D/Mvl9/qcCiP5J/zf+Df2UAXECPQN0/6P9T/9QApH/pP9hAJMA1/3fAOgCCARN/4b+AwSqBaEAS/9F+/kBoAc4AAX9dv53B8wF9//kAMQBGAR7BnkD1/rRAEECwABEAAoA0gCCAqv96P4oAPUAngLf/dH8GwCF/4/8yP+3+mECbwPL/+H2HAHwAqsD8frU/HsCuP5x/+L+N/sCAM4CIvyhAgcAP/8EAY4AugG0ADv7+gP3A1b9BPznADUBtAbH/Fr8FwjNAQQAPP9Z+kMGtQOJ+HoBxgFc/C8F3vuTAOsLmPgzAl8EUwIIAGsBtPohBAQFNP6N/1j5/f72Cgf73/j0/2oGOgB3/CH+Qvo2CEMByf+O/s/+yvwWAbcGxP8TAgj4jf/QCIoFnvrx+sv+5QroA/by2wAfAXMDeAMy+Nb3gQ/4/zP+Kfsu/l4GuwYy+oL+4vmqBFgEy/luA6z7qQRiBeX9q/xQDCwCtv56ANX96wRCAfj9rf1X/1kBUgMj/RMGx//MBY0DVPzjBLn+ygQY/y/7FABtApP7OQgW9UIEGQCN/bYD6fs/+2IA1/fwAhICsPyRAAr7RwMNATMA9PzBBMUA2QBb9zP+UgbxBa8AFPrLAGAGgwRHAmv2EgEpBncC4wFD+Sr7jgvq/VwCrwNN+RMGEPuT9gAG1P+99pL/yPUKAjQDGPih/tr+v/q4/tT9Nfya/075HgC4/ecE3gSvAxsAVAeeBhkJkANhAtYDywPUAxUDogSSANEBiQFo/20CPgIz+QX5dvAA+X/9mPGM8S/spvMm/BH2PfXf9EL28v3KBEf7SAPb/hgFTQ7bCLQNtwpyCMYR/AqaDaINVgjmB8sKpATkCDMF6P4j/ZD/svpx+m/x3e7O8G7w8e7l7NDnKuyT8KryFPLC88f0oQEqAj0DGQmSBMsQNhWyDq4NNAxiCFsTRQ33CVsH3AGcB4YKkgTFA8wAav7q+2v06PJQ9rHy4Our6N7kA+Y19qzrHOiK7YLu1gZTBbv+8v2bCiwYOyJcEM4HSwgBEEsXagxhAq4D4wVlCsoJxwN4B3MH+QQ9/6X1g/BA9lbw0uwT54jfSeIu6uj0RetW4+Tngf/aCiUI3PvQ/qMS/CM/HpQNVgHvCCATixKmBUj8vf96CVkQKQvpBUgEsgpaCxsB9/Cr6mvtx/I16afeS9nr41/47fAX567rZPtlC4MROwDDBkENJxoQHpATWQd+CCQKwQ97CY8C0wPiBwEO0A9RCFEHlwYdA2YB8PL97LXqCugj5Inju9oC6tD1A+EV6OLvowLsDjYK8fkvBg0TlyM5IMkIjP+jA6EKRhMEC9/+IAJJCMkVxhiWEbsNWArMBKH/dfdC8Tzs6eZP5R3kbODO5yr4LO1K5JbuM/0lDtQM9/6N/ZgO0SDhI8sRZ/1F+XIEjg8AD9ECfPyJADANzhwvHssVswwHBfQBHf519qby+uzY5r/kYOKP4rjriwCN7DLbm+Wr97ESghM0/Y/6kAbNJLEujhk/AErwV/oGEEwSTwhy+Zz5/wxGHyUkLh54DbAG/wQq/mf5V/Kg73zuY+gx53zm0ORt+zX+C92m3nnnrQCQF+sILPsvAgsRyjEHKYMRsveU6+D9QA9rCzYCH/L9+8UTeSQkJ5wZLwnHAwYCuf8r+d/sMevI6U3q9+vu6NPmgQCL8zXa8OWe6NENGxUxBS7/1gC8G9009CaPErDvSutk/UsOGBFJAWH0bf7VFHQppiqmGTEKqf/d/xj/Bvh78K7p5Oc46vfrNetz7YgBruov2hzjuerOEEwSbwTA/SYC8B7BMqcnLg5r7MXrRPl9DB0PM/1w9eP7sBRgKw0sHxwuBxn8T/4yAVX9efFJ6mbn/+up7z7yuuuu/z/wRNbc5JTjyQspELUKhwGZBK4abi9+K+QYp/Ox69bubgSSDzMDnPof91gM0iZDLiwmgA3d+/L4i/mQ/c724Out5zbmO+0r86Hx/Pf4+WPUTuBf37j9Wg/iCtMBMgEtErMqjS9eH+78WenU6Hn7vQt7BcX+KPW7A64ewC/cL6YZFALv9pb26v04+zXxOurs4uXpDfS795rzPf/e4TjYF+Ab54wM7QysCGwBiwgAHy8wpSrLETzzYeQK6ggA+gZ1BY75YviwDLsi2jN4KqwQ1fve7yr2Kvtl90Dvc+ad5mnrEPUL9rv3rPlo2HbbUNu576ANGwnGChQEgA/2JEkwmiZLDG/v8OGP7ev9CQdUBdH5a/0WFKQmKzMrKWQOMf7T8Pj0Uvez9mjy9evG697vf/Z49+D0Rfmb2mPY9NZa6M8FJggyDvsHkBBXJFUtRimFDxr0veIk52H14v06BFX8tQGED2sfMzATKBcZ+f+58BHuMvDj9e3yo+6h7DTv+fXK+ez4mPp+4zLWS9dD37v9yQe/DoEMCBGgHgUtXSwKHMX/k+kb48npY/Y0Ae4C8gSRDGMXqSkQLE8k9Q6n96Xshehu7hDyovGf7xnv8vIO+fD34PwL8YLZFdh21Mrs7PwECREOMA/DGQ4nbivqJWUP6veV5lnjoep/9hX+awSuCRYRjiB3KRQqVh5zB1b1bOk46eXtufB/8lXxH/A79l35Xf5v/tvnRNwj1qfdK/Nk/28Mfg71FoogpCgxKrIfBQru9NnmWOTh6f70AftsBEsNtBiqJDEoNiZNFukEx/S66lnpdOdF6l/sLO/u8w/2pfg5/tf2j+bR4G3Xuuai8WcA1wg7EEgaBCVLK1MpMBpmCF71w+v85c/qdO/j94cDtg/zHhUlyigvJIEYxAls+qDvpOdq5C/os+vf8H/z/vdj+I//XPZu67DlTdwN6XTuzPwbBaMO5hleJLkqcig4HFkMv/l47snmyOds64DybP8yCBMXaSFMKAQonRvcDbb+AvK+6HzkVeVz5WXoLOsm8jn3fAHq9wDzWunf5pnvovNQ/nsDtAsVFlIhgShEKMIezA9/ABX2B+5X7PzrQ/HJ+MYEOhKrHfQkhSWZHnwUkgUK+y7wZekO5vnijuRL6KftC/N8+5n2EPJa7jzprvJ38577fwAHBpER8xp2I/0kzh2zE2UFWfzT8hHwnO0J7jD1yvx/C7kWLR/HIWUewxjbDQEDnvmN7iDqtOPt5E/lb+mI7cH20fSh8mjz8u2e94X3zv5MAksGmg6rF10eKyJkHCEVeAiDAQP4UvQt8Ffw6PNW+l0FXQ8fGJgdVRxJGXgPVQed/T/zzOz55wPlAOX95QDoHO9+9evu+fN97WP0RPjS+2UCagTPDC8U1BkdIBsc8BaUDYgDbf2u9w31hPH88oX3SQIsDW8VUhuNHFYZNRRUCxgDCPtg8p7riubg5HLmCekB7ET0hvME8Mrwwe7h+Gz6/wBGAycFHQ6eFVocXR5VF8cRvgUEAND5BPb+9Kvw7vNu+TEG4g8tF3YaRhmIFJQPzwaiAFX3ve3i6QzmyOWW6VTqFe5P9dPxWvEV8vPxOPtJ/nQCDQbgCJ4RiRjvHX0cBBPCC8kBev0k+hr3XvZo9In4HwLjC74WcxtgGvEVXA8WCLsA1vkK88jrBeel5qDmX+t67NPxgvbJ7Jnw/Ovi8wD+e/9MBWAGeAwgGAcc9x4uFREJRwGI+UH6bvjA9nD16/e1AHcOvRttIH0cVhTgC/0G2wGs+p3zIOyE6SPqr+0T8o30DPWE+jfvBOrh687qY/sF/P0CwwYcC3QaziKSI7YdLQuz/vD59/Y19wf0G/FQ9l4AuBAPHv4jyx/yFUILFwRz/Y73mO9r5yjkGOZO7H70xvip9on7GPKr5mHtuOlZ+nn9qf/UA1cMTxlVKQAk3B1rCXj9O/qa98v3BPRV8Hv2jQQuFsQkXSQpHcITzQnWBr3/TfSI61HlLOcl73D0YfrB9lz38/kX9hflFOhM5BfxMv35/UIE0g2AGQMpaCqjHDUNJPrT9zf1TfVM8XvvnvElBNgU4SLFJAUe0hIhDcsEif5u88roTuYS6qvvT/Ta97H3Y/dr+XX73uk95GnmleuD/moCnAbuC8IZEySvLNoeeA4n/533xPcV+VjytfCE830E9RXrImIiuhpfEnEMrgdh/UTzmen65X7oTe939cj1cfbb9kn3K/vP6L7giOVd7HL+wQCSAQ4GwBcLJgArAB7tCgn9rfm/+Qr4EvHy7UzywASFFt8e4h+WF5gTzw9ECmUARfMD6lnnieyh8j70V/WI9zv3Jvig/Hrrf9/06BXvwP+TAtr+gAQzGBgn3yvrHnoIWv6J+QT+Cvne7xzsG/OiArgUvh09HVETaxPpESMOXQDO8evm5uqn7yf0LvNa8770C/cj9xT5g/LJ2aLmouyJ+XwDK/7IAZAVEiaVK88hqwxMACr+Sf/T+1zyG+oz8/X//hHVG1gbEhUeFkIUURCTBcT1SO2E7QTxXfSR9IXzX/Vw+Sn20Piu9LXhc+Ch7Cf25v0q/kr/Igy/InUo2iGaEKsC6gALAA39GvNV7CTxjPs0DIAVRhjXFzEXoRRPD9gFJ/ko8v/vmfBB71Hxp/P49Tj7QffR9bz4ZO5s3snq9/MC/Lf9jQHdBoAaXScOJJMVPAoYBJ4ChQAL9l7t+u6F+tQE0xHJFFoaPhVSFL0RigmY/9z1MvAy7Yry1vCR8fX1i/nH9yvzufSK9+biHNy17Bn10vv//XkDcAqDIVkodx5xDxMITwLPAPr5M/C16dfwMv4TCH8TUxb9FdkY5hiGEJsFX/z/86vwq+9L75Pvs/Lq9bP5/PnE9Rz3a/Ei5AHilfMj+Mn7OvppBWATWyM9Ix4ZvAwfCPQFQf+a9XDs9u3d9FUARQfdDp8WThSdFZwVXA0ZAtL5I/Ma71bvCfFl7tTxQfj39nX1svVN91zum9+740TzGfl1+d/61AYCFjMk3CHnGJkOyAuxCQL/VfQy7T7wo/cDAKsH+g0qFDsZEBmlE4QNSAVh/ULzDu7z7DrtMO9Z8QH0ePjN9Ib2t/ip8MfjBej49qf4bfbD91kHZBZbIQMd1BTpDyIPfApJ/Vn0re9y8uL2JfzPAoQLvRJuFoMXUBMaDBoFDv1Y9Y7v5OzY67ruKPCo8tj1lfMB+gP5Cu+D5o3vP/pQ+TT2tPrIDBobRSK0GXMTqhIWEvQMDv7L9PbxQ/MZ9yP9aQQiDVkTNBYjFhgSpQzbBeD7x/Mx7jDrNOl37PPtq/Gc9DD2NPqp9WPux+1f8/b52PS99PH9ug5sGo0a8hZ7FNUVghI9Cmf++fdt9QP1F/c8/TsF4gxPFCgWehRJEIgOuQZo/dr0me+y7e7qHexY7onxQ/XI98b5JPTO8DbxZvcl+Xf2WvrMAeAObxZJGP8XsxWkFNkPggjM/2f6fve59hP4MPyVBS4MLhG+EQgQ3w/0CRkDz/st9BLvXOxd6pjqSu2o8Tvz3fVD+g30Cu8r9T7/rPnH9Cr+fArXD9ASiBUZGNsYLhUqD/sGfgMJABX8sfhE/MwCRgf3CNAMTxGIEHQMbwZAAQP78/Jh7kjsbOuI69jrP/DA8Lv15/YI8y/1UP3D/3b3dvrTBdwMhw/CDsUTmxXXFDAQ5wl1B5wENAFl+5j8PgFGAV4D0QbXCnkLFAkOBX8AmPuo95ny5O0F7oTuHu4i7/3w/vct92b2lPv0/7r+rP0Q/7IDjwukCykNTA4gEUASzQ0LC5YJRQd4Am7/HQDs/5P+mADKA0UFIQUwA6kCTQAj/Qn5wvYr9MDy4/GL7/vywPTR9QH2vfeX+xH4VP26/M37//5aBEYEWQM1CVoLkQt5C4MNsgmkBisHMAXDAwwCkQHxAdr9LwbTASz+RQgWA5b8wAD9/v36A/dM/Gz9cvgH9df9ufpQ+JP+Sv2P+sX8ZP2J/Nj2Wv6vAnP+n/3PBNoDyv8RBEYJOQNUAQkJVwLV/k4DFAOu/j0DQwOfAvD+5v8mBIP/o/5WA7IBF/4P/R3/4gAO/zsBjgF3ADYAQv/S/z3/8P80/x8AyfxP/eb+tP89ANoBQwKgAREBXAEgAggD8gFdAC4B2gBRAbIAQAFJAR4COQE7AXcBJAC4ADgAVf++/z4A3//5/ysBOwBhANoADQHzAM8A3AAU//P/NP8uACwB2P96AWQApgCOACkBNAHmAO4AuQClACYAywB1AKUBgwI6AeYBggAMACoBOwHQAA4B1P/oAI0BxQAsAqkBrQFfAjUBCgE/ABMADABVADYBOgC/AJgBrAE/AtQBgQH8AHcB7gGOAIoAigDo/t7/ngHaAG0BTQGo/5D/XQCI/rX/WwD5/1j/Zv7b/lv/eAEpAYQBYAGx/yj/qv9G/0H/yP8BAI7/FACq/l8AwQC6ARcCCgI9AVgAyACa/zwBXwHo/zsBf/8dAAwAJP+7/woBcf9WABwAvP4r/5X/5P+ZAGYAnP+l/87+F//f/3j+af7l/lL+HP5G/8X+Yv7qAE7+1QBa/wP/Kf9D/3D/7v5h/xv+6P9T/z8A1P8R/+j/Iv7SAOr8dwCd/nj+eADa/RMAmv+XADoCzADiAKoA7/9pAMIB7P0bAqn++f6aASH81gVs+pYEIgD4/AcGgfnIBnH5ngIX/gv/0wEx/CgCMfzlAFD8BgKO/NIAT/7R/CL/3vxO/lj+2ADP/IAAhvyMAMX9uv8KAa396QDR/pH+E/+m/7H/zP8tAGcBmAQgARfyixVq+H0HAwNB/MQHMf2TBqf97PsuAbUBs/tZAmj5WQLK/aIAKQJKA0EANALtALH8UAeW+vIDIP4c//78PgBL/JgDQPunA2b97QE3/uEB3PsxBMD7WgEb/5f/s/xJBUX2ZgY+/LcD0fjqBP/6/wQq/Of/7P3+/XwEPf74/IABnPdbBHD7zwFm/toEzPTKCSf7lwfeAN38pwVY+QYEJAAU+7P+Hv61+sEEVPrEBuP7dQB4/0UDCP8wAm3+uv36/LkAJvujAnP9MAIXAZ7/3fxhAAr9IwEKAGz5xvsB/NP3eQLp+uD9iQO3/nf8bgaK+KwI7PqA/0sFK/SbBbj2VwG3+tMFOvfYDwfwVBFR86wGfgK5/gD/qwdA8oAJVffu/m8F2PrJAZMHCvPiCif6qP/gBpj52wWoAAD6qQI9A0b1/gwE9CgJx/raADj8aAEf/X4CaPzqAh/9Kfx0A0j5FAU0+j0Ho/lwBeD8aAQu/3YBxP90BM38BgIlAmH50gNw/J0ChvzsA8z6XQdS+KcGmv3dAK3+nAS2+yMGtvmeAF4DB/pvAgIDm/vXA4X6lgF/AbH5EAWJAeP7owM8/VIBtP2vAmYDGAHO/DMEY/yoAnb59Qd0/KsA7/rGA0v5LwRi/cwD7//I/w7/mwP3+cAEXwBs/zoCivqFBFP+3/zdBkr9Zv9YAY/65AL6/sP6rgVB/B//UAPg/YwE1QKMAB8ERP5rA5sB+v9aAJ4Ck/mvBKr+//83AQcBrf/iAq/+9f/MAOv+BAAjA5n7mwRc/RH/RgUd//ICxACEAFcAMftHAJEB/PnVAS7+b/77/UIAk/9sATj+tQE1A8j6OgAOADH+sv1qA3/+MQDI/hD/rQD9/8T9GwaM/jr+9ACi/iwD2wCMACYE5//6AHsB6gCnAE3/RwFPAWj9pQHkAmcAMQBCAoQDhQIWAV8C0wAd/xIAov4qAU7/u/0kAnH/5f4+Aq3+rQFaAUb81gL3/Lj9kf9r/r/85wDe/HICD/9X/sYBdf4v/3MBQP7bAP/+5P5vAVv+bgAGATcBiAF4ALMAPAJT/TQA+QAxAIAAJP/7AHsB0vwzAkcBM/9AA33/9f/X/oX9Jv7YAFf+tP+N/if8yP94/T3/MwGa/vYAxQBF/+sCngEFAfQDgwP9AnACuQJ8Ao4AhQBmAnwAUv/z/+z/r/49/tH9Zv+Z/Gf6qfyX+332bfnm+Hr4wfhi+hH7MfwI/Yj+tAEIAEYDLwR7BYsGkAfMCI0IhwewCT8Khwk1B6AHYwapAsQBjwGT/qX6xvvq+FLzGPQA8q7ubPHZ7tzuXvP681v0RfuA/iUEQwqkDgsS4BNRE1IUvxKyD5cOgghRAxoAcv7n+/T8bP+M/qQBCv5kAqMB5fty+wv2vu9r8vjl/t6U6/DnUebS8Mn2Tv++Bq0NexrGGFIXHR05GIoRyg42BqcBXvsn9fj6aPqz+n0E4QinCbQOFA+OESINpgcRAjL4dO2r5GLtrNQB0mDsieN/4fHypfpABS0M9xTQIeMeMRm2HBIYOQu5BuwALvph8frtg/BT8zv1kQKVBtQMgBMSF+0YIxQQDQELtP588s3rWd1w63LPusO69B3is9+I+DQDjgZyE3AV5ShUIZwXciC7F5AFhQZL/MX13e7h6szxhfOH8vr/2wyHC2YTpRxQHpUVBRJSDoADbfVH7A/kEOQN4Ry4Gu3+6PHYQ++YAt4Cww++Eb4k1iTZFXkeSB5+ClgDBAGu8zPv++W57JnwiO9Q9x8J9wnWEoQTCySPHRgTFxTgDFP8DfRw7HbiZei93+293fPq6oze7PcKB0YEYBP3EokkKSRAFsMdqByNBiwEQv9083XwkeUP8LnyOe75+ZAICArODkEc2hVNGfcUxgohCQX8R/OX8fzhhOVa8rfFQumVAMvhdvMdB7kDWw8XETccoCSoErcYSh2gCgQDQQGk8Bju9d5q6N3mKuHW8/r46v9CCfMU5RqmIO0ZaR7nGZMM2AerA2j7YvdQ8bXuIe8P7LTxcvZj8CjycftQ+sX1n/yuAR4BPQP5CDENCQ+3C6kP5w4RDN0HHQe2Asb8cvpN+rD6rf2z/ioBQwSfBPUFSQJEAdj3Cv9O85/atu5a7sbcxul19O33ygIkCHwV3h4IF3ca+CC+EfwJ5ARY+y/zDuts7C7xWvAH9wgCXAi4DWMXDh3kGckXLRYoD3oFbPuJ9HPqpeSD4EP33bxk5bkHOtkS8ysHDQcfDz8SbBh0K40MDRQIGycOo/g5Ahz2SPAx5onxSvQJ8Q32XQaNBpoCZwnmEhcJcgERCi8BxPRTAIH5kvxJ+yL9SwR1AzX92wRYBIP+gPqM/Kz7agFH+MT8cwdUBEgGNA4OCiQEiQRx/0f9ffk69wD6N/Xt9DYANgL/A9UIHggeB8cCT/+LAXr0FPeQ9Pf1OP2G9+3/cgvgCIkNyhHSC+8HUwKV/TD44PIq8fzxB+/T8rj5VvuXAN8HhwXzCX8FEAcQATUFGQG5/3MCogSXA9IHCQePCB8HBwbvAkgByPql+MX2eO989Y32IfJc+7b5vvcs/voBwQChAKcMnAe3BzUJ/gkOCwgL2wXpB7L8TPi09ln2AfHD9dP6HPtn/goEWgwzDOoM2Q+qCMUCSP2C9pr19Oxr7tjw8O2G8w74af3/AaQDxgXoBp8HLQWmBuEHIwYFB88IbQihCrAKFgZwBVUEav24/az4SvYx+2PxNf22AGz8OAPOAwQC6QJTAWD8ofxG8kj0ZPdq8w73uv5vAX8GPwhtDlkQjAnaBy8HE/6I90H3AfMu8hP2yvI1AN4HVQbmEGQTPxM1E1oN6AuCBZL4ovoU8Tzqp+qs6EvtfOw35mH3AAOm84z+UgjPCkEOJQy+FsEXNAhFD9UPvAR5BUv+Jf8H/Njx8v+PAOr6hQTqBp8GwAeZAz8IEwDM9y/70vML8lvyB/AC8pL0rvNY/Kj9ivvvAe0BzgBHAFQA/AFYBCv+oAboB/oCBguiB4MKigwDCiIMDgrGA+oHWwJ4AQEB1v+JACP37vnE8kTzG+ofBCHc5M7qEZTgfetT9ssAYwq4CXgJlyv1D8sMlhTtDLQEPPym+g76bvaE82kLzgYjDkQWQxrSF6USAQ2TDQn9pfUV8LPpPuDv4sncTQUV0CPUAhwl4hjz8/ZRAgkL2/+fAroqyAX/C70TCxKWCloCA/wpCjHxpPUBBo0GaAWqEKUZVRf3EEgR4xfoBFr4B/2R7uzmJuFW4tjnIvw4xtPqpw0L5tT2DvjOBz4Muf7iENsl9gRTETAQzw8nCaT9R/2yBdbtMfuqBWIH1AxVCaAcVRpuCFkSiBFV/k363++X8AfnwNwR5dfmx/07wUvxYAqn5P/1A/jOBwUQ9fx1F4cm/gZUFYQS1BH+CTX73v6MAxrt4/9EBf0KbwqgEWgcLBsIDAgVjwzm/an1lPGN7PflM91u5KPt8PTpwx/94gA36mH0W/hACdwIpvsLG3AdRAuQEycPyxTFB/v6FAXuAZnwTALkBQEGrA7BDKgaSxXBCbcSiwdh+cv5+ezc7hDl6eEu6QbrTvLcymr98Pqi7yvzGPyKCEILWQDhHsMcaRKhE2ER9xP7B0b8AgPw/r70WAVDAWsMlw8dD4Ya/xSlDVcRtgJQ+2D00OlT7/fgsOP+41zuzukEzgkCZ/I69HHxOfnOCxAIEAFmIQoXyRUREagPTxXnAyr8JQQq/Hn45AIUA84MoA51EbYb1BIaEGQNBgJi++n0Ruts7nLjweP/43LyUOJ51gQDve8a9WnwLf10DJQGQQhhI5EVsxhZD64RYBTmAsX+jgIe+dL6iP5UBKYPMAmYE3cYHhF5Di0IKgF5+/3t4utH63ngUeRF3+f2mNp43MAAvOzy94Xtj/4ED+0ClgrmICoW3BkjDTQTSRXCA4T9OAOF+d7/7/3sAjES0wmqEs0UXBHREPkFGgB9/dnt1O0Q6+3iBOkD38r3Mtmt4xn9XOqX+KrtRP0+DcICMwygG28TZhsrDcwULhVZBFAA/P/B+LD/xfuDA0MMPgWGDVcOgA6jDmMFNAAJ/Ifx1u5M6nnonelR5k71/t5G62T4WPBh+oryrgBSBc8CYgrsEcUR3xYqDqgRSRN8CboGvAIzABICfQCsAKgFQwUTCGQKYwnPCq0G+wBzAPX7Qfl39/TyHvTM8Gj0CfHQ7f/yF/Bk81HvH/J19If3zv6rANEGRAp2CWYNsQ/zD5IQdwsoCeEHXQa3BiUG7wVgCMQG5QfRB74FUQfRAkwD0gCj+7X4NvSm8dTynO5A6iTro+wa6sXtG/Bt8174+/xVAScIUwqrCwARGRHbEhET5Q7cDr4MhQuaC7QIFQiPCAEHeAbhBncClANiANX+0vzu+CX1UfLu757vUOwV54zoTOkh6Cntme/E8WP43PvDAOAJfQtTDrARABSwE74RKxAQEfEOKw64DJoJtwibCFoHbgcfB88E6QL5/4/9r/uk+NP1TvLk8CXvLer55Qvp/ull6hfvv+/f8z761vtuBNMKWQuREZ0RLhJ4E7MP0A/JD/gLXwxrCUIH/QbtBoUGyQY4BWIDfAHk/vb8IPrx9vXyKvEX73Ltm+kC5y3q2OkX63Tv3O8c9gv7O/7sBiEK5AvlEdsTBBVgFdARuxApEJgMZg2ACQ0IuwhhBSEGeAZRBU0E3AJVAPz+Dvqw+PX0uPC58AnuqugN6C3pOOiH6gzuYu/o9lr6uP4zB8AHHgyNEg8SKhSeE90Ofw+WDdcL0gp3CLQG5QdqBYgEOgWHBIIDTAKx/zH+CvzW9730+vKB8R3wk+tp6onrB+pW7DLw6fEc95n7u/49BoYICwwIEnoS9xSNFBMRMxBYDlYNwAwYCYcHYAfvA+oFVQScBAEE7wEbANn9pfpo+D/1EPOi8FLueOjC6RPpKOij7HjuuPBI9mP6lf9YB7kI7QwSEeQRJBPxEdkP0g6sDH0Kkgt+COkHBAd2B7MFCgYhBYAFTARdALD+PPuF+FP1iPNh8wTwp+oZ64LqkOqU7nHvJfJK+Lb6cv+pBgwIcQ1sEg0SqBPCEZEO4g9fDBkKuwutB9QGHgYdBLQERwWlBHQEbAE3AJ79APor91310vPO8v3tw+nf6QHpbeqz7g3vQPL+9z/4//+eBoIJtg8sESsSeRObETAQNRD5DYUM0QsSCJcG9wUcBvEGyAYnBTEEiwFl//T9qPvk+C72vfJV8b/tr+tP65brE+ze7n3va/M8+Kj6mAG/BskHgA2kDzIRKBL7DwgPCw9OCyULQAm+BrgGVgUxBZcEiAMDA3wCygCvAPv8Q/kt+GD18/Ps88Pu3uwS7Svquu0078fwkvUD+f37nAJ5BpoJxQ/MEJsSFBKTEK8P9wx4C74KDQkiCCgGSAU2BTIFbgVcBKUD+gGY/3L8wPul+Lv18/M38l7vPO1B7knrv+z37R/xV/Q+94j6IQFzBIYHBgypDoAP4RAOD48OIg10ChwJ/QjmBtUFKgXYBI4FawNZA7sCPQIxAMT+xvxh+uL34PV29SDy8u9j8PXtu+4E8dzw6/Ji+In6OAAnBRoGmgpIDYQOaRBdDyEOewzHCqgHbgftBfcEsQSGA2gE1QLSAf4BEQJrAIMAy/1P+4r59feu9kT1zPKR8dnxf+4b70vxQvIA9Uz4s/pD/w0DgAQ6CN4KOg31DdYNlQz8Cm8JegenB/QGPQbGBHoDdgJKA0oCowOeAgwC/QBT/yv91vtd/Fb6rPni9xf1FvXx8mHz3vPz9Lr1kfi3+Sf71v0JARMEWweJB5gI1wjUCM0H2AfSBssG/ATrA5wC6AKhAp0CVA6Z7RwTVQOeAosD3fx2A3v+cAMz/mYLTOCAC7gAnfk8B2HvswOD+JHz8AAL/KXwlv789HEABAN1A4cK3RH7CEcS3w8AC1gP0gFjBAwAnfpzAP//dP1DCVgIJgvEEngLTg6mCZz+Qv0p8wXqdebg3dTsUdcuzXn55/B369H4NQLoDfcOIArWG4MZ2wguDegMpAMF/5D5Mvl+/Q71zgGHCyAL6w/WF6gXkxdeEHIOlwgl+h/yFeoq4Qzf0dhM+brHrs8GECvpOekF/4sHLQ5GD+8FWiarFkcENBUiFNkAcQJg9iABePo/7rEJmAvDBKsUGBvrFygXUw/DDwUFMPFr6nLkvttnznzwyNR+spIPdPFy3yz9Ew4yBnkUygZIIJEbDgHuDZ8YWv7q+iv9TPui9+nwTgSMDm0HJw5lHtkYwRK3FoIRTANK9DDsguX716jQKOfj5AmuhP+NAWDenvMbF5oGDhB8DhEe/xxUBrcLJR2xAqv6SwNV/bz0KvZD/5UJ/AaUCk8c0hojDoUY5xdTAkP7OfTd5ZvfudW92hvvxLYE4McOWuOB5coagQvJBEgZJSA1HagSUxPXHEsNbv1RCJ4DHfc89xUAVgSdAwQJ3BehF2MQkhi4GcQGogC5+hnuC97T4MHXqupOyDXQ5wZ07LbfpA7qE8j+xRbNIiYa3xNiFzobpxAoAz8JagZW9Fv4RQF//Yr9ugh2ELwQChFGFcoUHAr5AyMAtvHM41HhNNuu42jUasmF+5Dw2duqBqQTsPkAE7YorRUHFjUgmxrBD5QPAg64CNj98PsVAuH8MPuNB7AKKwc+DlkQ5Q7kCoEG5AB/+M3sTOky457hIOCBzxHnX/Gu4gHu5Avk/poALxzzGBYPuxxoILwRThBgEmQLZgOCAC0B9P+D+fMATAVyAEsHeQysCL8GiwhSAV392vep8SHvaeku6V3lreUR7enulO4o+wH9sP44CZALOA2XEOEUHRQoEJoQTg+FDLAITwcwBG0Az/8iAR0BlgHOAv8CWwNSA20C5f8L/lv8NvhB+L/zovAs8rvyW/BF9cH5Y/U195j+Pfys/u0EXQQOBHkF0QiZBsgH1glkCIgHOQgGBVQDrgOpAlUBgQRMAnEAfgOLAoAAcwEeBEIBQP/eAIL+OPxW/S38q/1E/TH8JP4L/Jv8wfwg/4D9z/3i/t3+Av5Y/2EBj/+9AX4CegNdAwIESwJmBFMCtQKmAywD4wDGAScB7//Z/n0AdwEDAKn+C/9Z/j39qP6P/y8Aqv8Y/zgAjf48/88AEgL3/44A4f5z/jL/EQBgAJQBkACi/3YAEQGyAfYCSgJZAZkBHAG3ACYB3gAJADsADf/9/vH+n/8s/p/+q/40/q/+oP/Y/Sr+OP8l/9L+DQEb/yD/V/+9/v7/yv+Z/lAAev9Y/sH/nf8PACMAagAAAfUACAAwAB0AAv+zAZwAY/+z/6z+vf70/1EAUgA7ADYBKf8p/2kAkf+lAMcA7P5r/2kAzv4//uX/awCfAHIAtf5W/9X+xv84AFT/+f8AAP7+kv6X/q3+NgCX/zL/CP/d/Xr95f0w/nD+iP7I/pz+j/6c/Wb+9v5R/8z/EQDl/vf8iv0a/t3+tv4d/4v+UP2P/aX9ev7o//b/4P8KADP/4P/F/4r/BwApAFkAav+0/pL+gP7h/pn/qf/y/2L/l/5F/wX/Yf7XAKb/2P5G/9r+Ev4e/cv+cf+2/pj+3v7X/ZL9/v4e/uP+f/7Z/Zz9M/2q/ef+9vye/Vb+Dv6j/vP9wv4v/63+Q//l/m//5f6x/5D+kP+8/Tr9xf4i/53++f96/wv/Wv5JAEr/wgCtAGIBAABv/t3+OP/M/3AAvQC/AET+jf7y/rn/CwANAY7/2v94/n/92P7k/xQAuAD+AOL+pP7k/mr/kP8s/33/rP25/Tf+pf4p/sb/pf8bAKP/rgCz/63+m/5F/4r/Of89/zj/Pf6T/rz+XgChAIcAyABlALX/4f/g/4UBIgDdAMkAZwB9/5MACAC8Ab0BmQDi/4f/pf89ALQAZP+4/2H/MgAKAYgBGwAGAAEAWQDkAPb/IwCj/x//Dv+9/ij/0P+z/5IAWv/Z/nH/zv9TAX8A1QB9ALH+lf7Q/hP/zf5G/7j/qv72/sL/IP+dAPsAGAHTAA7/Sf86/wAAXwDy/2v/7AAVAdL/kQBGAR8BIQPAAiABzgAsADwBUQIxAeYAOwAgANb/qgBFAEsADAH2AOj/FABeAPH/yv+LAREBAAA3AVT9HAH1/6kCO/0lDa30XPUYG2/3zvuAB831RwhE+e4UL/AC2aQ2JOm6ATYM1+apEdUDdgJuDY7o9hYd/z72Bw2J9JoFDAUX+msE+wB4/a4HEf/QAsAE3/1RApQDOP2YCR8BgvVgFF/5QAbOAVX7mQhd/E8BJQCL/dT8jAHU/FMGhgBc+bwF7hHo/Jf5Lhcs9WsJmASn9IEIw/VV+4wAqPLDArT3FPaxEz7zHgjaBxL4Lw76B8f4Cwsq9qUEEAMi8r8Dq/u/AgwJKvSyDEsBagBWCvn4XQmMBWT2XQRXAHn+LQXnAEcDigEjBdf/dwaU/d8Au/9ZASQCPf8fAW36SwY8AK8GAv+sAUAEP/hKCdb39gJuBt31Ywnk950BRv8n/fIDsPrEAOv9OP3e/23/uwCX/3v/Hv/k/8v90/yL/Gj9dft7/jX9wv74AQT7QAJaAAMAlAC/Ahn/B/0y/iX/4vsqAB4Aifx0Ajn9YADd/kT8aAHq/BMA4v3+/Cv+LvkhAQ3+AP7t//cBs/dGAGD7Vfql+w3/LvzX94D8MPkB960Adftt+zv+Rf0n+a37Nf+y+DH+u/08+Kz70Py9+pb2AABn/yT06wSb/cD2EgJ0/ir4FwOb/xr74QD3/NP9l/9W/un+AP+D/VH9pf5M+NoA6vrE+iwDTvm3/TT/Nfso/+b/av1P/yT8EQCj/Hf9y/8k/PcAJPzZ/RECZvgaAtb+Iv2Q/478wgCN+2j96gFv+l3+QwLD91kCkv73/ML9RQWc9uEAiQF6/Ir93QH0/gb+uf71Atz65wJ/AXP8AALs/Y8BJwC6/XEC8f3j/24Dj/iCBogBXPoMBN4BJgL6/e4D2gCSA2j9BgSr/QoAxQDqA6j6FgAeAMr9rf/LAIP6BgQz/az5lwdJ+438jgNi/6z/tQCQ/uT8KgDE/4n9fAHZ/lv+cgJP/38CoP8cAyADy/6cBAsAf/0rAwoBEgJeAhUDCASn/NYIzfxZArEFhAEr/asCfPyZAgP7+gLC/wL/kgRX94IAbgH3+M4EMf/491YGjPin/vj+AwLl/V8B1QD5ADz9KAV3AAMDPQTMBMIC7QLpBZECLQJWBcwCcAJgAPYBkwKX+uQDQP5y/N0B8flO/DX85vgH+6r7O/qy+fT2Av8m9gv7kf5G+6396f/KAc0BuQRjBnQJRgsqBzQPdwxkB+gNYQnVB7kJjwbEBNoDngP5AXL9VwPH/fL0YP5j+GjwV/dt9d3q9vXD8hTw/vLU+GP2r/fg/m8AXANMBmULUwoqC8EP8gyOD3AM5wwTCk4GsQjdBz0FMgjMBRoF7AS8AsL/Lv9q+1H32vY98J7vz+x/7k3u4+o88W/xc/VD+pb9evhrCFkJRQ05E8IQ1RT8E/MQHxYQDM8NAwxYAzMFwQXOAwkGUwYaCZsE3gH3A7L8V/lX9KHuau5S5mrmpOs96Z3oDOw4+ar5m/n9BYICDwj8DyYRYhILFRYSoxIIEYAO2AsACgUI8QW2BBUGhAePBmUHRghqBd8BWABH+qDyru9k6Qnl+OWd6gnhwOjv8Q31JvgVBEwDDA8fD2YVgxd5EwUWEhasD8YQ8Al5B1MGjAJhBdMFMQilCbkIawnaCXoEbQC//Gn0OezV5hPiJ+JF5RviMdw480j18fMpAGkJ5AijDMsX4xX4ERsWmxYiDyINSg57B3UF/QdKB4MFgwoHCkkM+QpbDKoHwQJfAHn1Ju965znjOuCq5SbkY9kG7XX1HPL5/94JVgkOEDcWhBlJFFYWMhYaDwoLcAw2BIv/5gLoAXME0wjzCxgLLg2jDdcJdwTRAJ32Sev76J7cLNzU357gvNtp4Hr5UvaA9RUNjwi6DFIZuBbKFxISvhOFEtoHYQrjB8f+ggEuBIYD1gf9C90OZw7FDx0OVQbnA4z5hPCt6QricNoZ30DlO9hI3aT0xvcl9IgEuAq2CMoRFBvsFO8QWRW8D4sGGgoLBTr+LP6c/uH/OAR+CP4OZRCrEQoU2AzPBwEETfZf7Tzo8N082Enc7eIB4FDUkfeY/zjtKgZqDWgGLw48G0sXbw8OFQQXEQYYCUoM1vyK/OMAafzn/g4HYA8bDykSjBh6En8MvAw7ACHyYO8K42bbB9tz3Ffo7ti41XEPwu208SIRJAb4A4gV0xgAE38MoBnBDzAD1AuRBQn51vmr/Vn6efy8BhcObQ0HFcgZxxEAEfcN6v5R9CXuwuJV27vc1NqS7TzWbs8wHKXn5u6CHGQAgAZWGC0XPhjYCXMe0BNa/nMQuQTu8gT99Pq59h4AQQSwDQ0OkRZOHNUUnhN+Em8AVfg681jhjd823YjZa+ts5wrBmwxK+m/hfhDUCW77vA9cFAUXkQvvFoUaaAO7CnMN3/W29nH8dPIR+cD/tQZdDfcOZxxEGTAW8xoaDan9Hv078LjkhuL74ajbJ/CF60XHjRIZ+dDhyBNgA+75EhUBDyEWyg0YFccaPwQjC20NPPWS9Tn5Wu9U9yP9KwZ8C8AVRBNDG3IcgRLeDiUHVPZq8X/ql+MB4oPjDeUe/9fKkfYvExvYrv52Dt/xagg3EYoPhhDKEGIf6Q3TBpQVdPye77T7zO1T76H7pP56CJUPMRgGIlQW+h20IPAEQQRd/k3pheZM7UngP+Bw9Mj3usLqDzECidgPCSUHMO3mC6ARgQ/NDiMZiB4ZCdkNKBSC9VLxFPkJ6EDsXPcN/vED8w2UG6AZXRspJ8cQ+whBC9X08OkO7sbo9NuF7LTtfwI92WjrfSHc2KP38BVj6Yn83BF0BsgPahNWIrESPAwbF6gEGPKz/BPwG+hq89r1YvsqAy8UcRklGu4iyB8PD1QNKAg68pjvjfA34gjfrOHN/EPYTdYvJGzco+38F9/zYPvsGsUPnhPdEPgghhRCBVsXpwQc7en5cO3R4Nfu7O9M9u/8KQldE0cTXR6nI6wT0haiEBMBm/0a+FjzDe1c6NzsM+U1/j/ZFOe7EnrX2fWNCbfzUAHOEzgSiRUIFDclNRUnDVYYvQSd9ST9gu/36ZDxCvMp+O36aQcrDiANKBYpE9YMSws6Ajj7P/Rn8A3vKec065zxWOYW9roA0va2AFELewU6CPINAA2/BzYHCAZpACX4RfxL+YDxJvc4/ND3iAPSDGcKqBKyGP0RThfLFQUNCAx1AmT8P/yj8enu2+8G5qv/p9n42ncNedii6ZEEye8n+/8LCQ4yFdMNkyCHG6AJeBeaDEP2sPnS8o/paO/U7qj4afmWBlsPMxDPGX8eTxciFhYQ2AW1/cTyDe+d4vzju/u0uhnpAgsixZL7IAp88PULORHrF2AZPg5eLSEX2wfRIC8GZvZnAWfw/+7j7TnsdPl48Lb3lAiV/gMLuA3YCAYQSf3tC5oDF/RZBHv9HvMwADf4Dvh6/o72l/sF+iH3QgM8+WX5oAYb/1cFcggnBOYHSgPy/oYDR/xA++73vfnO/n75GwAzBlwB7gfhBxcGswbXAgQBd/1S+mH6vvi4+DX7MP1L/e0A4f4vAqICCQAAAlH/+f2f/an8+/0G/z0AcAGwAdcCYgO4BGIDwwGJA/r/+P6CAPb90P2Q//v9zf3v/t/+LAH8/2EBHgF4AGIAFAKFAGoB+AHD/lz9Ov/N/Xf91Pz8+678yvt5/DD8Afyn/ff+h/61//UBmAKBAscEKgXOBPUFvwZxBAYEQANvAbsAOgHw/zn/+f9C/uL+zP5Y/73/P/8V/57+1PyQ/R/+Rvzo/FL+jfzE/e/9z/xC/sL/4f8T/5f/sP5fAPQALADzAVwCOgKvAtQC3wHQAvwC6wKRAvEBAAF2/yv/+P4v/ygAtf21/vT8sPyc/Sz+Bv/D/2P/NP+A/Y/+3/44AFsAIgF8AOEA8f80AG8CTwL8A/kDXwJvAZYAnwA3AOUAHwC8/3f+if19/rX9UQDyAIwAYQH7AIwBHAHY/8n/OgAsAOD9wP1n+6b79vo9+p/8lvwn+z78C/5k+8L8GP8U/wMBpAFYAVkBCgLMA1cE7QStBVYFMQROBDgC5wFrAiwDngC1/4j/Mf7a/QT+NP6E/ZP9M/28/Hn6n/xg/Cr75/zZ/aX8FP0k/rH9JP7v/z8A6//TAF8B0P+NAWADcQPsA44DugSoA7MDWAPqAWwBrACdAJT/F/+V/Q/9Sv4H/Wn81P0Q/Qj9Cfyr/Pz7WvvZ/Jb9Jv6f/iD9Av43/gcAZQHeAbsBiANGA/EBzgKfAyoEiATOApgBkAE1Afb/GQBv/9H/RAAE/3n+Yf4b/sz+Of+L/5X/Xv+s/3/+EP8z/zX+Qf8N/zL+Rv4K/FL8Df2A/Y/+Tv6Y/XT+l/7f/sf/BQARAXkBswC7AVkCzQDhAQED2ALHAhcCdwFcARgBLgBDAGv/cv+0/8L+f/6r/tH9CP6s/5X+NP96/mr+dP7E/g7/OgAjADgAxACD/8j/uwC5AHoB8wCn/3oA3ABsANAA+gG9AOkA+/+lAPb/awC3/0EAXv8h/jn/NP9p/zMA8v8t/6f9PP75/of/XP/X/jr+5/3T/XX+WAC2AXMB5v+o/3v/mgC2Ab4BmAG5AEYBcf/pAOUBSgNOAosCNwGYADYBEQGzADkB+AB+/6L/0f5l/7/////n/zP/ov7Q/lb/sf0nAFP/yf5Y/yj//v74/7H/mQB2/xAAAgAQ/5YAIQBNAMoAqwCaAPf/mwDRACEAof9pAA0Alf9o//n/xv9HAGQAS/92AIEBuQBV/wYAMACh/0IC9QAxAJL/X/8RAVsBkQHrAKoALwDUAPIAzf/LAD8AiQAmAB4Apv9C/14A8v/V/w8A///d/p3/6P61/gz/Wf9y/5H/mP/Z/hT/Qf9c/9wAsP+x/zL/wf4d/v7+pf+FACAAxP8i/6z/eP/Z/84AwP8cAB//y/4S/27/YgBdAbkAeQFTAN8A/gBRAb3/6QGjAYoATgDX/kr/ewBiAOUA5wDV/0f+ov+D//wAMwB9/2YA4P5n/gH//f4x/3AAKAC3/yX/D/7+/5AAZQDEACUA8f7c/ab+N/+G/zf+Mf/t/53/6v15//D/EQAzAk0Ahf8u/7L+Kv/FAEEADADqAEkAKAAMAHgAIwEzAkgBtAAcALD/CQBmAOIBqwDOAQEA/P/RAJIAsACnAXEBcwYr7sEgT+VqEScBd/cbHGDrVA09BOP7lAdc/9v5JwlS9jcJWvio8hEN7/dkAEIBBP98/dwH8vjtDcf6L/+JBpH+df6FCOTvDAUl9///cQNE+e768f/d+dQG1f14BlsDJPqeBev9HAARA+r7EgHK/N38jgDOArn/6gdCAtwBKQgR/8UGpPwF/80CCfiZ/tf6ZfqQ/ir7LP92/h37vARt+2kEPPz1/X8CVv6g/BwE2PpmAeP9DwASAdj8ff8ABN75DwFY/mb72ABO/Wf9IQDZ+tX+rwH1+usD0PyW/ZEC4f55+3gFwfkXAdf9Wv96/9X+LfxPBBz8fQJcAJD///4lARv/VAKI/F3/CABc+lr/mv0H//T7zv51/2D9CP+V/2b9XP85/ab86v6K+pX76/p1+Xv9Cvs2+zX7tPnp/Jv7Q/gz/Lv7j/j4+2P8SPxw/vv93QFwAa0C5wRqBjkCawQ0BdYCdgGfAfP/h//G/Jf6vfx796L5dvnr83PzwPV388ru8fQi9iX2Hvv0/sMDyAhZCg4TkRIOEysThBKEC8UIigR6//r6oPm39/f4Wvk5/LP9WAAiArcAWgDe/e34//Kj8lzoUuXC6QfpVuwC8kf5Ef+iCxYTsxtxGxwfQh9MGqcU+Q0mCIAA/PvG+pj5FfoDALcACwe5CB0NhAosBpD/c/eD70Lmk+1J1nfNC+5C6L3k7vgeBYAPkBoUHCAqeSP1FvEZ+RSBAX4AHflk8bP1ZPPX/QsJLweOEnUcwxWdF8cTKgy9Ae7zFess4KbYftX96d/LAsyLAYfza+/6BzIPRxUhGQYVGCQKHFgKtA/ZD/X9U/67+Hn6+v1E+DAF5RBJDXURsR7gGIQUUg5DB+L+kvFA5+/in92J0trqbuRLyWT4TQSG8zj8oQs3CyQYqArjFK4cKg1GBJMRywjc/4H9iPuv/rn7FP2QCB8QRQvrE94XShOHDSILNAHN94jsqOPb3qrce9YP8G7aw9XG/rEBEPS+ASwMkw1oFloOChZtGsIOMgiLEN4J+wG//R4Ahf7x/m8DXQrhELYRTBMeFuoTzwrrAsv+AfS+54Th9t8R3M/eiu0w2L3ngv+7AE33vQDsB/8NMBGTD+oReBUHDmcILg49C8MAMAHlAN38bAAPAwMJfg5EEbMOrBFpD34GoQDc+1bvROia4z/eYd4V65rpI9uY72gBMv8H+1ED5QqrDsYPIQ+lEukV+A1cDNENAgkoBMkBXwBr/6oE/QWACLkNAxBdDx4O9wptBjH+svbS7wPrquBj3+Dh++rz68Hgousc/k4BfPlU/lcHMQ7qD2cMUQ+rExoPeQmOCRsNGQfE/TD9CwHFBrEFrAcwDA0RBQ3DCMAJVgZD+5LxdPCQ7Nbj6+RP47vpD/Rq6yDrOfySBML6rfzCARYK0w1MD38LsA7gEzcQ1gn4C6AMyQNn/cz+CgNJBrQGeQYJCvkL6QmQBYcA+/xm95HvkOmb5uHmTeXJ6QzyiO5f7ZH1vAGm/Rj7kf9tA68JkA7lC/0IPBAkFEoM3gjzC6YJtwI9/6EDrQWbBl4HNQdaC74LIgdqA3IBAfvc937x/u5z70bu/ut37sf4wfVS8FP5jv+i/mn7r/x1ALkHogtrCfkIVgwhDSwN2gf+CDwIJgRfACcB4QM8B1UElQW5B2YGsQT+AXD82vrT+WX2bfK78cfzM/XP8mP0gvkr+l34J/cf+/P7Nv3c/d8AIgOoCkYLAwmhCNgLBAvvCmQI4gSRAy0ElgQlAwwHxwmiBa4G/AZJBXYDP/0O/lH+ePi6+Cz3Jfdh+fL31Ppa+PH4Tvmv+lH4MPic99/5hP0q/rb9GP8XBMMFrAR2A9sDmAVqB3gDpQERA4ADDQJfBNwD3wRtBB0EDARqAQ0FwALOAt4Dl/9JAXb/awCRAYz+dv8C/+P8Fv9e/OP8p/0+/qr8Df27/U8AyvxYAQAD0f74/pgDmwFQBVgB2QBKAkYEiAKtAPkBPwQfAXIBuwEQAU8AugOVAxwBGQL4AB8CLwIHAKEC+v+J/ecBOv7C/d/+Mf7N/nz+Xf+X/pr81QJ3/C3+3ANm/fj/CQEN/6EA3ACXAT//TADOBJkB/f4gAooCl/9/BBgAAgCKAZQCBf7W/qkCzgIEAFP+j//VA2b/sgAk/jz+YgELAE78BQD8/oz/Qv2OA4n/Hv3bAAUCcwEu/jb9DvyVAj3/E/yC/rP+a/2wAr787v4y/88AvAHx/8r6iwEQAcD9uP9qANEBhAAh/N0ArwIa/mQACgKlAOb/QgAeADYAxQFD/yYCIP96AMoBe/5kAIX+WAFlAgT/IQCQABcAMf9rAO79RP84Aff8/P7D/or/ePy5/+gBggG//oL/4f/J/R3/hv8P/SQA0f2J/db/i/vv/x0AsABl/8T/h/6hAMj9Vf+fABr+LwFY/SMAJQCT/yX/Ff+TAYgBSgCV/2b+jf41Av3/kf+N/q/9nQHS/3z9tgHv/Un//wDk/TcBUf4//6L9ZP7eAaL+5/wb/nMA4f/r/mj/sf6W/hYBUgB4/07/T/3z/YwAUf9N/7j+UP9Q/iABef1VACUBvv28AFn+DABy/XEAV/9n/8ABpf6r/wH+eADh/RYBEgF5/yD+Wv8TAaj/x/7rAfIB5Pzq/9sBkvx6AGgBsv/DAEP91QDuAFX+C/8TANoAtf5O/lX/ff4z/rb/1gBD/t7++P+yANz83P74ACkACf4n/oEAqv8y/jIAfQIAARn/4QEX/1IAqQDX/6r/DP+z/en+iwCM/94AfADk/zwBqgExAckB2gAdALQB6/+P/m0BpgBS/4IBW/98AN4BhwEf/9oAzgGpAAL/QgIRAKj+rgFr/jcBw/+i/toB3/+v/0L+Iv5BAHIARwAq/Tb/bQCE/pb/rP9iAagAff86/8f+If+j/6v+uv56/xr/df7a/iYASP8FAfn/1QAmAIH/FQBJANP/0f9hAQgCNf7U/ikCDAF/ANsAdv90AV4AiQGFAA8B4v82Au0A8AGA/mIAjgEQAmb/PAAiAC0Bkf98AgABowBNASn/9/5B/wf/vQAS/xL/Kv5o/jf+7QBsAQoADQEyAJj+C/9HAMgBOv5mADMBxf2w/mj+qAAGASIASgJ0/Tb/wf/7AA4BeQAAANYAVQGC/30AlQKJASUBtwA7AEwBRgHo/7f/NwJw/5MBDAGLAMn+2gHGAVQAwQDcAKYBFAD0AUgAmwC8AFkAB/7dARoBXP3P/1L/9wBGAG4AHP/OAEQDZP+fAeEBPP+MABQBlQJl/4z9aQHP/V8BSQDo/4MAdv8vAEv/vv+gAF0AfgA+AXkA6v/CAsIAlQJbAr8CuQFk/5EAPgOlAL7/ywE2AJ8AYv7+AVQC4v8rAGsAiwH0/7wAWAI+/8UAtP/kAKv/8P9TADsCiv7Z/uj/RP77AsIAGfyb/ukBYwCm/3b9CwBJAXMBYP/t/7MA4P6PAEEAiQBz/87/wv4GAd8AIAEJ/9YAuf/aBUcCWPzZ/w4CFAK/ACj/HP5GABIArwD/AHMA5f+RAaoCyAH3AUsB+AGj/3cBZQCUAAAAp/8LAUIBO/7r/6n/sAPCAhr+Vf4Z/YAC5v/3/f3++P9k/nj/qf+6/XgBXACjAPv/+P0X/yUAlAE9ABr/6ABGAWIALf/2/v4Bev49/2H/xP7v/g3+gP8h/14BP/+fANUAKwB1/8v9HAIjAJ8BIP9V/fD+PAKy/2wAP/+kAfD9nf+v/5D/xf9qAKUAOP+G/jUAjwBVATUBbP9A/jH/IP9B/vf/qP49/Pj/H/6B/t39WP47/7//tv7X/Nj7r/1f/pn/lP3N/Wv+cf+t/ywA/AE0ATQBbQF5AkkC6QBdAUcCMQJOAkoAKgBuAO8A5v7r/hf/6v2O/fb7Nvt0+b76rfzq+hH6efqv/Jv9B/9bAJ4CkgFNBcwF6gYfBhYIUAh0BoAFyQbSBggE4gFIAQQADQDw/xP+9/pk9rL2Tffi8rzvt+9u8b3uqezY8uL7Jv1S/G0CmAxBEowRwQ+mD4MQQw5bC4wGSAGj/38ABQHw/vH/LQTcBl4FWALl/mL+Z/kE8srs4+Zh65ro1N8l4cv0QQKe/7f8Sgc1GG0cSReeEzoPmgz7Ca4GVwCM+0/7d/0FAbgEWAkXDtYMPgtXC/8GSAAp+SvysOgb3wPdVOnu5mfUddeDAaIReP2F7lgI6CUCJV8RCApBDWMSFQ4rAtv2gfu9BsEEL/rh/ygUlBlVDy4KaBIkDxQF2Pf870ToC+So2qHiSeoF05jVaPwaFiX4N+xVCDMnxRyzDXwKNA9XDz4N1wA8+gn/EgWr/OT2EQQkEpARcwvEEUYUqA+tBW8AOfgn8Yzk3dzJ1RXs2ekTwwDaXg6hE7XkjfARGvUoSBK2DnMN9BKoFN0NIPj5/LEJAQEJ8Qb7yhP8ES4L6wtuGpAXwg/VBDkCxvpc8jre/NbV23z2Mt55uu/shReBAzrbhf/JHPUfDw6QDBEJ5hfzEoL90PqdEIAKl/KW+goMEA/DCGkP9xBgF+cPTQYT/dwFzvuf6PPdDOTb5bL388/lxCcGjBFD6rjf3g8YFRwUYwjjDdgSeiHABxj8uA46Fkn8CPXcB4wMmwy9BugNdxd7HFgGCQOpDnsK0+5F6HDox+MM3w74u9VtwQoJsgTY4knlVBAoB3YSAw7LB0kU2h7YBLf9lxvcDQb2d/tDBhYCcwxlBe0L3By/FuECvgkWFdgAR/Nq8GfpHuCa4Hf2S9TJw7EKAvwV5vzuAgtwBdgTrQz+BD4hxRlVAlEHdhr3BFz9rQBbAVQKuQmPAHANZx6vDvYHDBHgDtMBWfer74Lmqua723313N7At8MHZ/m35LLwDgAxByIRGA6cAD8iIxUjA5wN3xR1CcT+0/+i+kIKBwhk/2kRKRccEAQM7RDkDYkLa/2Y8fXt5uYJ4Lzt3O3XtOT95QNj3Lr9evR4CFAUqQreBJscRx+B/pkSuRJpCfwKu/uwAAwJMAfe+0sM6BTSCNgPKAvNDHEO5/kN+Jf2R+t85hboFfQ5zIneSg2c3APzyAPW5+AU8Api93gbWA+3BKkTawodCG4OUQKbABYH3QG2ASAFbwizB3gLiQqhCRgOJgdPAR8DZv7T+ez4/vCI8+DuIeq08LXvJu/m8cfua/Xc+er68gE6CP4GJAuRC7kMqhF6DnsKRAqCBzsIugZ6BYAFOwd5CQYIOwkjB5sEVgTiAPH7k/b18jnwYOlO6t7oXuYv6QDrCu7K87z3Pvq2AqgGLgeMCzsNsw81ESUNhgvFDMwLPAuRCQwKHQu5CvAKDQpiCgUJUgX7BIEA1fsk9xTzL/C767/ozukQ54zoBuzr61fzE/ea+ngCcgVDB0UMMQ1CD1wPiAvBDB0MCQovCWEHYQfSCTgJ6AjnCKoIegffBdoDtwGD+xT4HfNK8x/vuOc06XnnOufo61vq/e6a9Rz5ov19BDsGNgskDpkONhBkDyoNkgzXC9UJfwmuCJ0IUQm8CKIJQAm9CFEHcAakAhcAmv1b+Ar17/Lp627pi+mM6JTor+pf6zbwYfNV+Fj/6AXlB1YJ9AxHDucOvQ7qCy4MKAqKByQITgbOBQ0IWgeVCI4JNAheBS8EwgMcAVj8P/jw9ST0o+0Z60jqI+oL6qjsD+6/8Zv1c/iz/lcGaQc9C88OiQ4zEIEOegwfDpYKhQkkCjgIhQYlCFoHsgjkCKwHiwZ9BIIBHgBK/Fj4tPU59P/tVOz66+TohupP7CvuU/AI9ef3tfzoAy8FqQg6DOcMMQ/ZDe4LJA0sCr0I9AfWB4oHkwdtBv8HKAl9CFIGTwUKBPwB4f1D+s/1tfW+7xrsOe2j66PpuOzZ7I3xkfWj96P9jQQkBf4IpgwTDrcO8Q4PDIMMvAoRB/EHYwd5BVMHlQYhBpUHoAWaBm8G3gOoAcL+s/pY+Af27/LV7XftmOw66qLqoevR7dzyxvfP+TgAbAQJBU8LZw5rDvkQwgyiC1cMDwkoCIMIlAcpCC0IJwauB4QIXgcuCPsFzwNJAXH+Dvum9/z2JPKp7lHuoOym6lLshe317pP0fPdQ+4YCBQVmB/IMSg1rDnwQ/QznDC4K/QdPB8IG0QW+BjQHWgcACG4HOgboBiEF1AJ0AIv8Vvm+9nH0sO+c7wfv9uyf7RPtxvBJ8mHz7/rt/s8D+gU3B+ULPA8GDmMODQ+9DFsLAwjSB5oJDQe3BikJ+Ae2B5gFDAb6BhQDQQGm/tj58vVq+cbzEuU1+njtF+py8P7oKfo698fwYgHQ/1oBCATKBH4OugmPBKEJWwhJBrUJ+AQICosJrQTlCuYJAAkjCxgIxQYKBF/+LAJN+1j2FvSS8Qj69tOz+HHyo+NN8jvnIgDy/l3zWQySDeQI3A+SBmAVsA24/14LawXM/rICjP+cC60IDAcXE+AM+Q8qEJkLtgy9BJb9Jf+N9GbxAu106YPvbfKpx0j44/H/4hLzeO/0BKMDY/tkHAQWIwxVFpkL8BISBYL5KwKC9vruaPvZ+IoFPAZ0DaMWkhJwGKAVXRF0C5sDDP4u+JPxeu1a6mDqe+rA++zM+vElAc3g/veD8UkH8gnd+xAZSRtYDrgXrQxPFc4Idvf5ADv66u8S+6j7WQW7CJgIGBZ4E0YQXBPXC70D8/oE9Dj0xui15n3qz+zj8v7SIvnl/2LqYfhH/EQHMwYv/5cXbRRsCr8Pjws4CuYAGPke/Hv1I/P8+0EAzAXiDK8M3huKGVATbRkED3AEFABn9Rr45Olp5D3uMOOw/sPP0t7cD0TfhPS69XP+Ow3+90kQwCH+CKkVBBDGDnEKQfhh/dT+Zeyg+jwBhQEsDUQKXxc1GE0QIhk0D20BtfuH8FD0HeYN48rpn+1o8SDLav4+/Xnom/nR+AEJggNk/I0diBI+DEkUqw1REqkDyvrLA2j3/fEd/t4BjAaFCEQS8hk4Ek0UUBaYCkECxvkD9Vfy5eF15cfmyO6b83nJbf7N/CTmW/b09wYI2QMt+5Ud2RJ9ClUSdQzKECADDPp0Aif32fAs/2EA5AncCxsRJB09EsYRPxZxCN8AH/ni86rzduCR6G3pZfPX777RqwSr+EnqUvY8+ssIkQNCAFQdeBJsC3ITjg7nEKIAlvg/Abb04fHu/RcArQnDCtQRXR22FDES6xJPCVsBBfj28g7zO+Xn5FPn9PHN+YLMGP8Q/Y3orvNq9BoInAUu/OkYgBRMDZ0Q7g5KFJIGtvo8/8j5NfLk/QIChwtvDS4PAhzaFa4S0hRNC1cEUfmM71H1eOjd5LftMu/R+QbTd/rp/tDsjvVZ9bAGSAV0/G0XgRXjDZ8Tmw0KEisF3/e++7T3fe149m74EQWuBhAHjhm+FjATcxa2D0QKfP8f9p/60/Eq63vvy+kz7Z/7O9/I41UI2OVn9SHw6fs8C/3/ggoOIF8RAxcREd8QVRRI/nf8KAH881L47Po8AC4MWgXjD8gVqA8OEQsMAAUFAkv0h/RD8//mle466xf1Kuz04mECkPGR9WD4cfsRBwQDDgNiEcYNmQ1IDHEJLwzVACD7PPxO95T4SPqx/TYHXASqBysTyA0hElQOQAp9CMT+c/v0+5rzrvZJ9cvwUflw9Anra/1Z9bT11/jC9Hj/6Py0/QUFbwf3Ck8LVwitDEUJYAasBRMDRwNAAgT/5AK3A9cCkQaUBw8JwQmjBUMHVwUABN0A5/6y/tz6t/ax9v3z+++l7xzwCe7570LvqvGm9WD3Bv1GA2sGnQdcCYoLNQxJDpgMtAtlChQHYAfsBhMGKAiABz8HdQf4BYcHDAfBBM0DbAHz/hD7ofZg9lT02/DE7B/t2uwS7fTtYvHV8k33cPru/vsDkwXrCbYMEQ0aD8kNIgxCDQcLDgkXCVMHLwawBb8F4wV5BTsF0ASVA1EBNwB5/Zn71viS9VbyV/FS7Q3sS+0o7fTsNPGT8Xr1cPqE/eoDIwgUCVgMmw57Dy0Qdw53D+gMWgr9CJII0QfNBicGSweGBWQFGQXdA5QC7QDc/sb9Nvpv9qzy6vFI7zntnesh7V/rIO0z8Ezx1/XP+vb+fgP6B50JkAroDqQOaRDSDt8M2ArUCCoIxQYLBuAF8gYMBsUFwATyBH0DfwISAmj/df3L+Dj2k/P88ZXxZe487hPsje0v71rx0fNB93r95AH+BGcIGAuNDgwQChBZEeEOPgyKCk0IlgegBtEFpQWXBbEEIQQ0BekDlAJ5AYYAR/4E+lr3yvTE8lTx2O9+7cPsVewP7RHw3PEM9Jn4pP0vAGkFhwh2CssNxg4uEXgQUw6eDA4LXAlICEoIjwcuB+YGLwUHBloF5QTUA2wCMgCT/Kf5MvdD9Gbzs/Is8EbuBu4q7sjuDfGu86n2sPr2/DEABAW/CHAKQg7QDpIPVg7FDJILQwopCakHKAaoBXME7gQbBLMDaQM2A8UB1QCI/eH6h/lC9hP0yPKa8PDuBO1I7tTuHPGG8nT1ivgC/UL/PgQzCM8J4wx9DeIOpA9IDwgNogsGC8EJwQjRBtMG9gXxBTgFzQRUA4ACXQEa/039Sfud+ZT2XPQ/8k3xA/Eb747w3+7M8PPz3PXS92b80/64AgEHjQinC3UMtAvRDloOXQudDFYJ1AdcBmIGDwZuBZYDPANhAnwCrwBt/4z+V/04/KD3Nvb59RT0OPR19AHzIfIB87bzlvfC+TL7IP7M/loClwWoCGgKHAscDFwMSwzWC50KIwrcCekGfgYqBZAEwQJsAswAfQBm/zL+tf2D/Kb5X/m/+AT4XvZp9RP0MvTj9Dj0zvVM9if4ePnW+4T+NADtAQkEZwa1B6oIrgm6CDYI0AhqB14H9gbXBcgETgTHA2wDYgMsAmcCgwAGAGX/tv3I/G78zPvL+hj64/hN+FD5q/np+YD57/nH+rv7s/z8/bH9xP9hAO0AVgIlAmoDYgSiBCMFtgTjAycEjQPWA58DNwOXAF4AFAA3AJP/S/5R//X+uf1l/fn87fwu/e/8a/zP+3/8wvqa+838if5G/qT/HP+w/2wB9gDNAUwBgAKpAR4D0v+VCjv5W/1AIV/u3wHKFxnzxQoABk367gRX/ED/bv7a+w4C3vWUC7z0evSJH4fvzQAfCbH6zv7gDWr9bwQKAv8H3PqR/5ob+O0oCYYCkfh6/C8HivMkADYE8OhjBrEFp/p3B84Bv//O/v4IrfvuBJQDLvIwAtr6rfwaAFb5qQYL9dwMZPU3BDICqv8b//7/OQMX/Zn+SAX/9CoPMPkSAjr/QgX5+VwDa/8v9kYI4gPk7NYS2PVQ+3IFiwFu+o3/+ghz8CIJjfjcCJTyogcZA4j1iwtA+nP+UwMbALb6dgHx/Qf2YwZF+Az8pwJ0/+b99go3AUkDEgkHBGoAMQnsAWD4VQcO+qb3LAaj+cj6NAERAJPzfgbD+/z0KP8t+T70Nvdt/pz02flJ+/L+H/YsAjADpfgfApcC7/gcAPUDKvlqBiX/g/4ABn8AEAIuBrUDkABjAp4FUv9T/00Crf76+iUAuftz9VL5dvk49NHxQvWG9jD10fOa9WP6b/QD/cn9xv0r/O0CWwM9/70GuwmvBJ0HVgwhBFMH8woLB/wGPgeiBWEF9ATrAwEHRAElBIECQvsm+1j/6/lZ94Tzdvnc8p/wy/Wq9R/24fL09Qv3X/iM+M79Uv6EABkECwRsBtIINAxVCjYHMgwLCt4EowiZBxIHEwfcB6AHVgcYBIsHngSh/ncBuQC79Fr47vnc8Rj2C/gb7aH0bPpm8UTynfuD+A34A/6o/3b+TQT6CqkHBwlTDCsMVAnzCD0KuAcUB+IFxQVMBmkIKgbgBPEGowhBArH/qf96/AP6Ffan9pf0o/Sa9dvxBfH784X4TPQ39Tf3a/6C+Iv8KwOtBkAIZglaDcILdgwJDz0MXgeZCOMK4ggBAvEGpgqZA7oEmAkwBh0DCAIV/e385fj79zD2BvSl9Jv0f/Iy7vHzVvdp9STyUfaA/L37BPz0/5sHdwsZDHUMZQyfDv0LBAwmCfkIEQYhBiMFxQMvBRkG7gUEB+sDhgHOAFT9ePlz9sH2P/XO8Lfy5vMY7yrwcfVe9UjzY/Ru+RD7KPvMAE8DgwYbDb0QuA4tDusR0xB7DIsLtApQB8wGfgYJBFMEkwjoBgAG2QMyBKsBC/2X+LX3efR68fbvge9z7YPt7e/J8pzz/PGH9f78hAAp////KwnoDa0QswupDl8QTBEtCkQJiwh+B0EFpAQDBroFQgd2B/0HVQOrBNsC+fyn9qn30PQl76rrGe518EDvtfAk8cDxevWm/O3/pv4aAHEJ+g18D/UOrBEgEj8Rvw+vDOAH7gXTBfEEIQP2AswFKAfqB7sDOgMyAgL/Mvrs9uDx+O5Q63DqM+p27ODvlu9J8MTzlvol/5MCBAIQCQsNEhMRE8MRxxCuEMoP6A03B+wErwXXAo8B1wLSBtYIBwc7BYUFDwKO/df6cvaJ75nrc+mw6ejp0OwF7cDv7PPR/RsBZgG7BHYLWA7jEKIUoRIID10Ngg+wDUoIZgNyA2oDmAM6A9gFvwYFBxsF8gSJ/338LPoZ9bnsGObc6H3oouW56ZXrZ+1p8+X9PgNYBSIFbAzvFFIZWBVNEu0PoxBXDu8KsASGAkwCAgPOAl0DfAXSCIMJugcZBJD+vPrw9oTwDumO5L3k6+Us6PvoHehr70EATAh7A64BsQuGGcwZMhUAEEgQXw/kDBsJgwUQ/1n/iAKFAgMCWASFCQ8L+gZXA/UAuvwo9q/v0udR45DhleOv543nsuSv8SQBEAs9BgQFcg5/G3ceqhYhD9AMIBCLDnoILAAJ/YgAwAaYBS0EBQXAC3wMugrCAsb/P/zb9M7r3uWx4SHfmONc6XvnYuSR8KkFLwtgBLwChRBEHakclxOFDKcK1Qs5DsEHfv0c+kD/pAV/BRsErgbFDEYNlAl8Ahr+iflK9Z7rZ+MO4NngrOYA6ynlvObL92UJfQ21BlgEaBCNHdIgnxbCCuQF8AxIDyAIDvts+B3+EAblBqcFtgSGChQNXAsaA5H91PhS8znrN+N83kzfseiP6tvk3uZO9f0HsA4jB8cDvgw3G+wfCheqB2cDEQkEDfYJ2vyL9Yv6bQTRCaYHIQeJCmMNsgvFBJT9rPm+9aPuN+Vt3xPgeekQ7RTpBukD9UEH9Qs2B/sC2goAF6UeDhjtCr4B3AQYDEYNcgE2+en4zv8uCFcK0AjvB44Kzgp8Br4AVvtv90vyEOyv5objFulb8BnuWuoT7Bv4QAOkBboBOQKIBogQbhfgFDQNkQdtCDcLBwqRA5n8W/n8/bkD3wbyCCoJKwjvCdQH1QYMBu3+APcw84fu+O6J7/LvXfMy8o3uxvCh+Pb+GgKG/zkAiwNfCyAShhM7DVYKwAgwCYwH1gRQ/zX6F/t3AAgEcQe1BxwIQAjBBigIeQa+/zX94fd984Xz+vE68kj1dfYq86/xyPN6+AL80f0T/o3+Cv8PB5wPHQ6YC1YK+wnOCMUJ5AXfApz/sv+NAW4FjQjcCN4IbAccCFcJMwheBZEBNPzP+e35fviI+f34w/Ty9rv1yvKC87z2K/cw+b36PPsw/d0DvQkWDBkKVAlDCJEIowZRBZIBfv8KASMBCQN9BZkGqwYdB68ImwjQBsoErgEw/4T8LPvM+2D87/qr91/3EfhO9/L2C/Xh9Z73Y/hs+h37Ov3iAHYG3glMCUMITgfbBbcGFweoBYcEcQGyAhoDmAM0BZQHsAZNBqwEAQWSBLICKAByAHD+Wv8U/TP66Pu4+Ir2nPlq94j2qPSS81T2q/bE+Cz7tPuZ/8YDYwPIBDIGzgWVB9MGCQVYBe8EwALiAkwCaQUmBScFygSjBpIDjwT9BR4CXwTrA6kAOP/C/1j/rP2d/E78wPrz+gj5SvUu9lz24/W09lr4EvqJ+xT8JwCpAu4EwgbEBpAFSAalBGIEHQTxAawC7wDpAcwBcQKwBM8C9AKOBGMDJQOfAuAAJwEgAAr/kf2z/iz+Fv06/UH52PoY+QH5NvhC97L2lvdf+Vr6QPtj/Xr/YQKRBOEEAgfcBiQG8AWUBTsFxgSrAwYCkAFbAFwDhwHlA7sCjwM7BKED3gEiAv4CEwM/APb/z/1h/Q/9Mvyt+6358Pis+AL4w/ao9hz2hPei+G752vt2/ML+BQHXAvIEOwb2BRYGlwZpBN4DngOXAocCRQFYACYCHgKCA+cDEQMvBasCcQW5BCQCRwKLAb8AyP9f/7L8Rf3K+xj7T/oU+Nb1r/Zq91b4uvj5+EP5FPy8/tEAHQSRBA4FvwS/BGcEagXJBfsDMwKXACQAOwH/ARACYQGOAyICKgKaAhQCLQM/BFgCRQDY/1L+rv5Z/j39h/sx+IP52vem9bD2Ifc198b3MPkJ+nX90v6UAZwEQgXaBUQGyQZ0BsEE1AUwA0IDogIcAXcBigGmAmoC1gQXAokCzQI2AowCpQKwAGYBb//p/k/+2fyV/An66/kE9nz31PMX84P02/Mw9u73v/hN/c3+YALpBAgHsAeeB4MHyQY3BGQDqAJfATMAFABz/30CAgL7AlwFgAQzBRMFvgRgBVkCZQL7AQYBiP3V/Hj8GftR+Lr3zPeI8/Ty1/MI83r27/ZE+R39Pf9vAmAFUAdYCsMKhgm6CNgEMgNmAzIAoQCq/4v+hv/nAC8CGQUyBY0FegbwBSUECwN2AKEAYv7g+6b6Bfmm96LzLPPF8z7xQvPG8Q3ze/ZG+Dr9DgNNBRAJGAswDFYOFQzuCoIHGwPAAH7/5P7a/5L+ZAFIAvEFCggeCXcK/AfMB8UEzwFjAN79Q/vK+SP4wfdR9YLyAfP/8Ibw2+/s8E7y6fSX+TT95QNzCG8NjQ+MEBcQpA08CUoEz/4y/Sz8cvrK/KT+BgDjBUQKYQ0uEeQNOQuwBp4DCv8i/Fj6Mvb19cL0T/Ki8Wvxa/Qf87byOvE68h/2XPpuAFEF/wuJEMsSdBR5EVcNswpaAxr+EPo59972DfmS/GYCRAk9D/4QmhI/D9gNvgfNAKH9MPd188Lyo/DR8PHvgPCi9IjzjvIV8szuW/Ri9k78hALBBTUPmBBSFUMWqBFIDvoF2gB9+7b1xPQ89fX6GAGWCB4PlxRQFgkVPBEADUMFVACC9+DxHe9U7rDvx/A28Qb1Vfdt8oL1b+9x9Ob1Mfq/AKEB+wrpDbUUxxauE+sQLgjiAcL7wfRA9A7zcvcj/csEiw2aEh8WDxbJEXgPXAc4AY/4aPG/7obqju7d7mXxmPUn9nHy2fbQ7zj5ifiD/bUANwLfC7wNZRbLF2UU0xC0BiwBw/ri9iH2e/QD+sf8zAVpDdwTThkDFnEQWQzHBI7+svYv8S/sZO3+7ZLwGvBe9Kr2fvKV9S/urvRn82r5cgGwANcMIQ6EFXMXMBXLEVUFBgA097Tze/MR8jH4XfyiB8QMiRcSGDIY3hOVDSQHYv3x9QDvQO3p7EDvbfB68Xf0r/i68g/4Ke629/71UPsrAlMCQw7tD3QZFBiXFNkPdwRc/az3SfE/8tvxz/lI/+EIwhFKFooaXhaUE38L+gJR+4Hwr+zu6G7sq+/z8DXyOPVH91HxOvZD7mf2wvUP+4f/lgJcDcUReBopGuIWaA5jBLr8sPZL88TyO/Ut+5z/5QnkEZsYQxxQGSYTAwwjAGr6CfJp7uXs8O1+8Djw//Jx96H2efI79PPsJPbE84j87/+EBc8OhhOLG9oZSRYcDG4BMPrx8gvypfEA9PH6RwAuDHkTkxrsG1UX1RJZB2r/6vWK7prt0es/7jTw2PDl8WX4lPZ79RD1cO1492PzygABAVEMAhGlF5AcEBpuFOUM/AAB+tnyd/LT8XD2Wv1LBRYR9ha1HU0aRxh4DtAFFvtZ8qDs/un76rDrYu6J8MrzIPwZ9Bn4Pu378Jn0B/bzAQUAMQtmDpYXIRovGB8StQef/aX23O/h8anwpvm9/U4IfhBCGLMbWhoHFNkNmQFo++7xx+1u62vtLPAC8wTznfbq+sPyu/Wb7CTxS/OK+MoCzgLqD2YRiBt/Hb8ZpxIuBJv6EPPv7lXwxO9o+in+EwtlE7AZ7B4UGdMWqAlz/+P1/+vd6YnnMuu86wnuWe+u+dn10/c78xjvD/Yf8yYBvf5ACdENfRQ7GQQaShRjDCsAtvq38ZXyV/Bx9/38ugTkEFsWLB1zG+4WKhH9BWb+gPM37kbrwOv47t/vSfIS9MH7UPMD9ULs9O7080H1ogDmAN0LLBGdGoYeVxthFD0HX/wq9QzuKfAO7kX1P/ypCGwRrxrRH5EdyRe1DVkCNvjt7zzpMOlw59vp/OvX7vr65/er94P1yu0t98LzCwAC/1oHrQwBFO0ajxsuGAIRqgS0/YD0EPIj8MzztfnAAboN0xNEHOocbBr8E9QJHwKr9ZPuiuqS6O3qNepO7YHx+vgI8uT26uvF8jLzHfkL/6sB8Aq8D5AXzRzEG20W2gkuAPn3z/B+8S7vvvWU+icFSA8sGHYdgB7aGW8SKAZx/PfxI+y+5/3mjOZs6F3sXfg08qT6w/Ee95n53folA7v/6wgSDPcThRleGVwW2g2ABAH+qvVK9tTvNPac+A0BogkNEjgZ+RpZGaUTZQqjAUf3pO9A6ZrmB+aA5VfoXvHJ8M/0D/RG8h76PfmKAfL/zQZqCk0Q6hYxF1sWiBHLCMAEHvuT90v0SfTY9nr8/gQGDagUFRiqF50Wxw+qCuIBP/iC8dHqmudN5Zbm2eyP8MHwovJX8Pz3LfpCAcEDIQVqCToNSxIAFckV8xKqCw0HlQBJ/Fr56fWN90X5j/97BRQMIxAWEnQRkQ8TC0UGov45+cXxrewg6qjpkeqv8NbulvCQ8dDyN/iV/WgAmgMsBe0HSw2uEP8TExRrEK8LBAgCAzH/s/1W+4D7a/zY/kMCUQfXDHQOsA7sDFIJAgfKAEr9/feg877wdu3r7EDwhe+i8IPwT/TK9lf6Q/2A/58CowVBCDYMPA5wDj0NgQqhCIcECAPS/5b9Cv2z/Bj+MwBWAh0GWAjkCf4JIwiRB2oDpAIL/y364vix9S71CPRP9OzyAvVq9RH2Z/i7+F78Y/70AD0DDwXhB7YL4go2C24J9wdyBY8EQAK9/9D+CP6i/zoBFAGHBfYE7QZbB/EHbAObApwCLP4I/aD6CPj89+L29PY+90/2jPbq9Yn3D/cB+YD4RfoW/b7/wwECBV4F4QdLCZUJhAgLCMAFMAToA/kAAAIiAr4B+ADVAxEFLQYrBSMFVwRoA5ADdgFI/2/9Mvw9/Lf7l/sB+RD5Ivm9+az3PPh593T5Sfne+vD8t/3i/yIDegQvBTEGWwbABOMFgwQSBcMCLgOEACABZwJZAsYE1ABkAs0CAgIkAOkAqwE+AGr/SP1C/aL97/wDAHb8+Pya+kD7yvsN+R/7RPub+n/7sfwj/YL+9v9/Au0D1wXKA98DcQWpA8YE9AOJBD4CfwLEAWYB0AD6AWcBoAGQAb8BNwBw/uMAVP5aAUD/VQFZ/VD9y/0f/bv70P6++tr7u/l++435Tvm1+4r8cP2L/n38Df+1APL/XgIwAlwCMwMqA84BLwMdA30A7gGcA44EFAGTAlcAxwIRANwCqgJqAkoAGf/Y/xH/GwBb/53/6QCa/gL94v6H/PP/Af5R/+/6hf0n/CX9r/s4/vL8XP8x/hoA6/2x/XsAWQCbAVwAgv9t/zwBuwAYAYQBkAG4AGsB/ACP/9IAaQALAeL+uAB4/97+dAD//gAAHADo/jEAfv5DAN79Jf+s/yj/xv8O/kEAIf8o/wf/bACv/08A0P5Y/37/uwDj/2EAjAAdARoAyACjAPUAZgC3/5YA1ABjANX+7P3cAYr/f//4/0IAZf9f/f/+CQBtAOr9hvwJAEr95v6l/r/+/f0Y/xD9zv88/oz/o/5C/+T+QQD2/70AJQBuALL/bgH1ALX/egJY/tYBJwAiAmwAdACIAKz/NwIhAIgBMf/HAVD+4ACOANAAoQDm/h7/j/6l/6P+k/+t/NP+6P9+/nz+cP90/4QANwDo/yABTv41/6X+oP+9/mr/2/+u/9f9cwAxAKsB2//XABAB//8WAJX/cAAJAEb/HQLZ/08Aj/8VAKUBDgDC/8MBqv4uAiL9nf89AKoAVQCB/l4AqwBZ/2UB0/8bATEAzP8wAUv/yf/A/+b/bP8sAAMAtQCH/msAEgDiABoA9P6Q/iIATwH4/Ub/Nf/c/7oA8f4E/4MA3f9v/97+Vf8Q/nT9pv84/7L/XP/Z/VX/GQAXA/IAeQCWAfv/xv+OAWkAFwLCAEkA1P96AcwAqAAbAbgBrgB3Apr+ygARAMsAJQHmAPoA/wCH/+IAFv/0AM4Aiv8J/7/+hf9//nn+vv4/ANH+vwF5/mv/Wf9CAEgAw//T/ywBG/+7/xL/LwBxAdQAIwCaAMD+CgG1/7MA2v5t/hwBNv+2AOP+hwBfAB4BoP6rAUUBSQD+/tD+SAE3AB4Aqf/OAcH/EQJNAhoAcgCMAGcBAwJ5Afz9jgCKAGYBxgCmAIoAhgIeAPf/2ABTADUAMv92AZ/+ef8o/6D+bP/h/4z+FP+Q/g3/d/9s/yD+gP+I/xcA1/8s/139ef/B/tH+AgC+/iv+Lv/I/XMA6wAmAfQAgv/HAEMBNwKoAjEDhgN4AdEBQgOwAjAEQAMMApgAp/+o/9n+Ev8i/eL7QPzx+W36JfrS+ff6X/qH+lL8Uvxy/58AvwKvBCIISwoGCyoLDQtoCsgI0geaBiQExQAv/r/84vu7/HD6//ey9+DzlPKR8Xjvbe6F7InvVvJR9m/7VAAqBwYOxxSOGEkYABcaE0sPNA2WBiYCgf5z+tz7rP2eARMEeAcuCZQGgARMABr79vQG7ornquQI4k/ix+N97K72WALGB9gLMRC7F+IdzByLFG8LmAVsAvkAsP5Z+hX4NfvDAo0K1Q/aDikOpg7NDNUHyQDg9e7tBemP4lreduKA52fjuejV7RX8/AhoB+kFrgleD3gd2ho5ESwIXQI/Bj8KwwIE/OrzSvfYAmYKYA0XDtINqBMZFEsSywqt/+v5QvIr67jmB+Hh4CbnlOze6CDsRPBo/LAFUAVf/4gC7Qa2FS4ZNhLsCJQG5QhgDLYGkP7/9C/10/tTAt0G+QcrCS4PrxP9EX4OnATR/jH60/Lm63fmv+NX59Xrd+/j6tPuEfRA/e8DWAIA/qgCyglDF6YYIhI/DOcLIw3/D2cHUP2f9en1FPxoAqcDvAXpBmUOaxJTEQsOigXl/zn6M/NG7GjpJecB6TXriPBw6sTvv/PF+qz/RABB+uz/tAW/D6MUdRFYDIQMlwwKD1YKLwCg+HH1U/swAMEBYgJ3BfkIKhG3EFsPFQpnBJ3/sfmt9JHwOeyR7QztYPIY8Zru7PJE9c77T/+J/RL7TAFhBwMRLRLnDhgNxA0IDoQOVga9/7r4qPga/X4AEwCtAZMExwn6DZgNqArDB4sDuP6o+aT0jvOY8UXxivDB8s7zk/GO81r0DPgS+gz6sfnf/a8COQyHDkEPwA2UDWEOfA7ACmkEoP5m/Lf8FwFuAR0BzASlB9IKJgzSCooJDQfyAxIAJP2n+Hn2R/bG9crzvvV989XxgfPo86L25vjV9zr5pf3OAYAIMwzjC24LOAvsDLEMzwdwA4P/v/6M/gn/oP8jAJAC5wS7B5YIPAiOB9sGtwOZAu3+d/wA/H37+fdB9j32Qvg19tzy9vIp9Of2fffr+Pn4w/3tAqQHCwstC9oLzwz/DFIN2Ag4BGMCSgAgAQX/J//g//UAwQS3BUgHMAf7B2UG1QQEAYv/Ov7V/Tv5gvh+9lr1yPYk9T7zuvRc8z70J/eQ9Qf4JPwG/0wDYQjzBw4ImAvACs8MMwpXBdQD/wLHAAUBQACJACUCUQPgBKgHtwfICEMHXwVpBLMCzAKb/7r+ivqh92n6A/ht+eP2DvRT9PTzUfWP9vn28vgq/FH/xAI2Br0G+QY2Cu8LeAvzB28EigKQA5MC1gF+AUcBGgE+A5oCOwUlBccFDQa3A0wBRgH2/uD/0P46/Wn6q/gl+Ej6+vY99Lf1y/WF9tr2hPam+CT7KADFBGAF2QZWB8AJywrVCSIJKwh/BSEE1gKOAg0C4QGzA3oEZwTxAxIDQwQJBOACkQNEAYP+Nv+i/vT9+vva+nH6OfnQ+Vz2PfRk9Bb0JfW39qP2YPhd+wj+ywGmAycFqQbRCAYJLQnkCBAFngTVA7kEawRiAtoBHAJ7AsADiAWbAx0FKQZzA6cDRgPGAEUB9ABt/8b8wvqZ+jf69Pi59132H/b39gv3I/eu98P4Cfw+/p8AxwGLA8EEIgZtBgoIJQcqBk0EYQP+AgQDRwPWARgCwQJoAo8C1ANKBGECjwKPAR8A5/9eAPT9DP3j+w/71fqy+e/4Lfqi9/X1Pfb19lv49vll+aT5fPzM/swBTQO6BLoFbAZlB8MGjgbBBQ0GMgWOBDYDqAG1AuQCYAOABHQCCgJ9AZ4BewJAAk8ARgCD/4D+h/0p/CL8DvyC+IL59veY9PL0JPYm9gz3a/f99o76sfyf/vAAtAF2At0FBQZTBj4GXgQABD8GQAUjBEMDiQJNA0IDgQL3A9sC3AFlBCICeQKOAf0ABwLAAJYARv+o/NT8Ivvd+hH5hfey9SP21vbc9an2Cfhd+Lr6qf6WACwBiwJVA7MFqwUWBsEF6wWMBQUDigKbAl8ClwKiApoBQgOkATkCAQKfAo0CIQPhAKMAnv9i/xb+Ufvt+y/79fls+fD3KPYB9F30Nfdf95r3Qvhg+B/9DgAoArcCWgbGB3kJXwkbB8AGBgWHBC0FOgUIAgcBtQEbARUCcgMMBNcDFwQwAzEBQgD6AEgAIP8XAMf72fmg+BT4W/c1+Cz2TfM18jH0s/RM9tP2IPgP/JkAlgO+A0UF7gZtCbwKpweGB9oE4wNFAsMA2QGTARABBwMRAxsE8ATJBKQFfAX/BJEDYAE7AIr+MP7D+275+vgh96v1a/bm8bvvsvI29M71v/g196b6RgK0BVMIaQupCBoM9g1SCQwHqQTbASgCFgGo/vX/Sv94Ah4HdgNLBcUJNgd3B2QEbQDWALD/x/zr+T33zvNK9Kjwd/B48i/sO+uu7jXzoPfk+9v5+gBiC4oSuBNlEnUOHBBsDyoKtANg/+D7if0k/JH9TwFTBl8KoQ6yDQcNjA6/CvAF/QDM+lX4zvWU8cPusOyk62LtBvJT7m/leOeU8qL6jP2y93X6bA1rGrsahRNSDpUQShMnCnH8vfWD9wD6p/oy9/QCzA+EE10WSxTgEzYV7w0yARf7L/OX8oDuGehn5gnrP+7X8FL4SOKu4d33uvy9/Ub3NvNyDnQivRxGFk0R9xJGGVwIm/ZN9Ez0HffR9oP2RgYGGVMXgBjnF6sYExnNCon3+fKN8Gbtn+k/5qLone+D8MH44vY92P7plvjK/bH4IOsr93geNCNMHI0UtBDYGMsQnfgj8vnxVfOs9ir05f8rGVEheBtIGqAYShp+Dq/4rfCf7t3uy+uO6d3tOfau9hT41wLH47PXMPMi+Ez+DfDs6jEQlSu7ImgddxAsFPAVu/ws65bvaPH79wb2xvwvGIMj0CBpH4QWhxXZDfX21+6/6wjrce5v63Ly3/iM+sX1uwWZ8OjO8uzz9476q/Xx6RgG8i7lKIcdcBMzEqkWgAQz66Lu//T5+UL6s/rOFAUkayRHHAkSmBPBDfj8X/RP7xfx1/b28w/6+ACM+Sn3UvBY++3opsPJ4z348P5V/sHuQQ35N34uVRuQCdUHSg+j+zLli+04977+XQBhAkoagif+IW8XfA1zCoMGbfh28KDzpPYr+fj4UP9/Agr8WvfT7/v25OmQyEjgRP00A3v/BPU7DFMzxyofFcIDWAbwDPv8N+oc8I38DAZGBPsEBBcpI9IcvRA/BrcE0AXP+mzzpPU6+eP9KPtc+wX/sPdl7vrnJvfw4ofCj+iI/zMHnv9B82YPxjMOJTIPOAA5AigKWfq76qT0jgC2CJEE2QR6GaIhVxpHDv4CeQZWBLj5u/Zi+aX+yP95/NP+rAJn+lrvLeap7Mj0zMzm0j75GQkbCy/3dvlIIwYucRyKAgn38AMUBD7zg/Hv+6IGCApRAewKORqUG8oSYARHAc0CJP1a+cL4vPtmADf+m/kv/az5Z+/I57XnjPhL4E7GG/GfB9QQiASe7zgOtS+1IpULrfKX+gAKTP/W8Ej4AwHXDVwKaAV1Et4a6ReeDHr/of+nAZL+ufyO+0H9V/9Z/Df7Uv5s9IHox+PH71r40sYH0wQCrxAqErjyme6WH18vtB3lAKvr3f8nCs/5PfQM+ccDEQ/hBHgGnxUbFrgULwj0+skBNgMRADn9Z/jy/ocBkP+Z/Sv3ke8W7Jjnivcr7QLEkeSrB5UTiA+v7bT2ESM2Kh4c8P2L6fP/Bwet/lX7K/a0BOcOWgcPCxoPlRHUFc0G9PnU/EsAKwOOAt33tPvWAcf+sP5x9XXpEulz6O361uQavhjrrQvSF5oKnuUA+acnZixwGvP1F+ecAMcJfALp+l30KASTD30JJQ5yDnQRcBaOBrn7Q/4E/+YFAwLG+Dr9eP5BACX/WPVu7+/pAOYK/L3rJ8ca5uEDMhbIEK7pgPLvGlMnWiLI+jrjV/jaBDwJtgG18kn8DgpGC5QQIQ+6C4MSAghf/lH7/fuBA14DlP2z+z35bP1L//z4FPCi5bTmg/ol71fKZN9PBDgZ5heS7mDtvhTsKpgmrwNz4AvwFQZKC4QFKPOq9noK9w5QE6sPYAiYEU0NVQEM/Pz4hQCqB8T97PlX+Pz7OwAD/t/wweiE4cP0cfdz0VnaLvn/DscZVvn46L4IrCKSK7UP0eWf56b90gupDUf40O/fARILuRTrEW4IRwy/DecFNAA1+nAArAf4Axn/efil+8UDagEa9xbqaeKO7Nz/Z+Y70gbrzwQ+HPEPc+059nUUCChxJEP7QN9e7rIDChX1ChLxevI5A4wSCBsoDxkF7geZCR0FgP3r+JIA3AYSBov9wvXh+hYD/wBd9+Pi0t7N9Ov5C9zd2mPxJA4qHlkFXe4J/hIZkC1eGzDwguPk78sKYRefBNHyw/cnBBwalxq4D9oGQAX4B+0Gs/87/sr/iAU+BUX8avlo/QcCcv5E8UHiYOXp+ZTuWNr75nL7LxNlFVD5R/dsCQgfcCdPCYjpQ+mo95EPURIZ/SrzSfjTCtwdcxjzCscBfwJkCBkIlwEt/Wz/FAeKBU/9F/xp/BcBvvxt6d3hzO32+MvlIOHa8ZsFGxkODUr6kf8JEYMktiB4/FLoUet8/tsVPQ8C+qL0cfq2Engh8xVKC6EAZv0+BmMFwgKUAcf9TwGyAP7+VAC8/3z8Q/UC5yTmq/Qq8Z3bQudk9UEN0BcWArf3qQNMF5MoUhbC9Inoee+DCE0XpQdQ+arznQFnGwAfJBX8Awn++QMpCXoJmwLF+9b+iQMTA6ABofxm/Cz8cvFS5t3pcvee6HrhjO9G/dsTsw41/bD8PgnHHvQhGwX67sLn9vdEESsS3QL/9UrzSAv9HjUchA9M/hj7MQT5B/EH+gAr+5L+kQCYADoAnvuK+4D3QerK5O/v0PKh4UPpFPNUCRsWHwgC/LsCphGtJrwY3v3E6wvp0gEgFPANUQEC82/7sxOrHTwcdQnq+879wQPRCIEFpvvI+lD88AIpA8/+w/wh+E/xgOlh5x/1iO2A3afoGfbdDq4UQQEo+4cDuxifJioQb/cw5zPuFgoZE8gJn/qH7xABHRfpIYIWDAO9+tD/dAhQCjwD2Psr+/L+ZQKDA5n98vqf9eTuduoA7C70C+b64gjxtQD8E8QMOv76/ogMaiD7He0Em+8L6D75OA+5D8wDFvUy9qsJFhzRG/cNpf+K+gkBlgaFBUkAkvrX/IL/GwB9AML8R/nL8Dzo5Oew8cvvEN3v42rz2wykFucF+/pnApgW4Cb2FsX86Ojb7K4EORI+C8P71fF6/pMTwyHTFwMHZvvM/P8Ftgn5AV78vfeY+3kB6v9Z/5/8wfUA77Lo6Ohd86zp3d3w6ln62g/LDkj+I/5oCBoczR8RCVj0aun89YYJpgzQAqj1g/b8B6AYZBlsDMIBQP3/A2wGXAPg/m/6x/suAKkAcf+H/Er8w/Qn7qPl4+ky9evnJuJr8NP78RLICyoA0ALUC3IfgRpcBNzyeuvc/JkMUAt1ARf1EfpxDY0Y+hVACnH+DwB+Ab0Cj/+R+6b8Gf+O/rX/C/7R/M77AvQ56W7mqOzO8iTgBOCs8KICHRWuBwX8oQP6ESwjdxYJ/uTtOvDTAzYN5QVt+fT06QL0FIcaTBH1Bn4BrAXZBnwCef02++v+MgPM/pP8Fvyt/b7+dPTp59bjWO+h8wDhGOOI8cUHdhUwBCv8RAMMFjMjfA90+UHrpfS0BtAKXgCW9Zn4GAl2F5oTegpGA6AFIwhXA5n6W/kH//QCYQBh+hb5yP6kA576Wu3r4rvl9vdg7i7aT+VA9zwVSxTl/vz8dwsxI1gkgAdx8UntFf8SDIIErfeh9ZMCGBXtFl4N4QgUCOMO+Ahq/Wb4D/raAjMDifvv+Ij7ZwSPA4T2Wel/44Ls7PhZ6v3Siegj/fYVgg3m9rD/gxT2Jr0aOvyu8Kj38gbTBun3zPL5/H8MshM4DPoGaw20EREQTgKf+Aj9kAMXBYz9wfaF/WMFfQY6/nXwsusU7KXya/P24eDX3/KhBK0R6AHD+IALyR+XIpENyfcZ+fUC0AS0+g705/mNCMoJrghtBYASTRU8DmIFsft7APUDc/2H+zv7pgCNAw4Af/0z+0j4l+9S6XfqmPJS4gnasO8SArgRPwNU/RUP7x52IMoKVPytAb4DFQHw9M3ytAEbCnMHTgfwDRYWjRfGDLgDWAPJBHT/U/tu+KX83ADU/1MASQEVAgD7rvAd69jtpfJ15TPbJe8GAlUHWv7c/E8UBCCdFvMFJ/+QB3IEd/hB86j70gXvBCL/VwVaFN8WfA//BhoI/Ak8AXP8PvyxAj0CVP3R/QoE8QPp/IbzsfH18DzzX+lH3nzhCf58AU//j/w0CRgc6Bc/DYoJbw2QCZH82/QY+8AA2/9Y/AAEORBGEvAOiAi9EN4NwQJl/Zf9PgFh/Qr2YP3gA7kER//J+VL7WfXb6YXthepw523eb+1W/Zz9uP8VBlIWjRm3DwkMew6vB1P9wPa2/IAADfu7+tYETw8zE9cO4Q/VFaoMhAW+AYUB/gDN92L5xf8P/jIBLf5cA7/+G/XE8brwie4s5izdXu83+K318/nEBrgUcRVeEIIVvxSRBzP/Hf3P/jn4MvK7+WMDngRDCOgQ8xUNFGMNzg0pCJMC1fsw+nv6a/Z39r/88f53/JT8Afz59if2a++k6vzgZ+3h88HwZPr2AQgNbhLiFJMb9hYrDr4InAOC/+P1vfM6+KP6AP0LB18NExHXFCgUnhMHDZgH1AJM+1j23PPM82r3KfXh+tL7Sfj2+e72jffw7Tflou3I8IfqtPQn/BUGzQqWEncZqxdWEnASrgoTAoj5afdy9fDy3fe3/uUDgQyaEOYV0hUQFH8R5wr1BDP9vPdd9ajytfT+9eH00PYi+ib4f/n8813uaPBZ9DLrwPMX9gr/pwMlCzwTLxWyE18Wxw8DC7kDFf2j+A70Lvau9uH6BAG7BxEMZxGUEkESxg+CC00E+/74+PfzrPKb75vwH++E8VTxWPbg9H7s9/Wn9w7u/Pjd9+P8fwDbBlwQyhAtEVAWng+oDuwKLwRh//n5+/mC+Lv3BP6AAj4GDQw5D0IP7w5ZDjkJywN1AAP6FPdg8h3wce417jbw2O8o8dnu+u3m+M3vFfTI+xv5iwH7BF0KzQ7cDYcRlxCIDFAMagYNAfj9T/ir+YT4kvs9AaAB8gcbC9oMzw74DcAMKQfeA7D+lPnM9tfyC/GO7w/uhvGE8LXwyu2k9czzRPJp/aP5FgFIBHsKzAyiDmYR6xLaDdgOzghbA8X+EPqb+YX5A/qc/qT9twMrCCoJsQ15DpUN5QluBSYB8PtQ+bz1TfQ58DzvR+zP8NjvAO0z8iD18/Ar9yj7svtxAM0HDAv9DL4RkxG+EDoQJw3RCG4ElQHl+9H7efoR/Gv+uQC3BtYGuAu4DYANZAw4CpAFjQHn/eX58/cQ9Jrx3e/m7hHv7/AV8I3utfhm7yH46/u3+PoFCgbhCogOfw6wEHcNEQ/BDFMGqgVi/Sb6bvt6+Bb8nP53/yUGDwZQCg4N2AtNDaMKGQZVBOP+cP199+/0c/TF8jfxJPSV7t7uue9v+DnyCvm2/b35IQRQB1MLyw7MEVoSRA8qEPgNRAY9BlkBKfzK+/X6p/df/9gAVgIDBwcKmApXDQMNlwljBrcF1v73+735X/XQ83nyCPEg8FPxL/FU7UD2avUK8ln+lvi4/6YGjAg0DZEQrBBcEd0Ocw97CYMGXQS3/ub60/wf+Rf8XwIiAsQGRAotDL4MUw13DOQJZgdfAkv+G/qt+MvzF/JH8vPvt/IE8SrvrvH2+PnucvxZ/cr5KQYoCB4IGA+zDp8PEw4WD2IM8QQXBDX/yfmm+kn9j/cdAAsBPwL1BisL+QpSDSkMrQsmB20Ebf+r+eL4yPd28+fxKPMc8FTyOvGa7qr3xPeF9M3/bPuR/gkIoAlhDFES4BBHD6IOjg23CKkDKQOh/d/4av3Y+rz6H//nA3gFdAn4DSUMZgq7DDMHyAJ1Aob+Qfqv+Br14vFU8WPxZvT58K/zVe9t87X20PBOAEr97f6jCTAJFAqcEzEO/A93DvsK0wdYAxL+Vv2q+Mz8JfxJ/SgEaQUjBe8NxwxyDgwNuQlGBzECRAH9/ar3H/cI9xDxp/MX9MPyI/Mi9DDuAves9X/yZQFo/Mf/ewmHB18J7RMGDuYPXwy/CJADAAAj/OX7dfdE+3D7Fv3Y/9UGVwhRC+IPiw1ACtUJ0QTR/4T+7vv19tv1iPWL8pbx4/Ph9OXyUvXn8d/5P/Y985kApPyTAGQMAArtCe0Ttw04DY0NjQmpBaAB3fyb+sL1S/p2/Br9+gJcCIoGzAttDdwK2gujCa4EVAAn/En66PXH8/f01vNM8oz0AvUq86nw2PM89Lj4gvOb/aD6HABrBOoJgQk1EKYNww5sCjMHzwPM/2D8Svxc+hH50P2P/YwDUwh/CXoM/A96C4ILYAgLA6MAL/2U+dn4+vWS9NX18vMo8xz42vYk8svzyvMX93bye/k9/Hj95QJ7CyEKPQ1eDpMMVQptCK0DdgC8+sT3nvaP+J77BQBjBVYFswwKDEgLWwx+C2IFpQSg/YL4nfY+9m30//bn9U33xPYo92H22/Mv94Tyjfj39Vb2T/ptAW4Blws3DQgQfhG6DiILjQh1A4j/sfzo91j2F/lX+03+uwWiCPYOCg5HDrEMhgrhA+0C8Ptm+DD2lPSw8mv0G/eE+N/2pvce+kHyjPOv8270z/M09Tj5z/2tA5MIZw5vDnEQjw4mDBkGcAJJ/fT6dPVr9wD5v/xEA4EH6QvAEBAPdw8AEPQJnAOsAK36a/fk9OH0OPdX9xT4w/sj+Xf4qvx880HzJPPf8bj0a/Zu983/nga5CM8QRhEMEDoO5wliBHUAM/qi+Jr1CPa2+P/+xgNyCeYMLxG7D34OVgyqBXcBFP1b+OT1rvUj9v333fjv+t/84/vo+ez64/Rm8WruyPN49dj0a/teAiMJCw2hEUUTJxM5DQwJ4gQh/w/4gPUb9k760fpwAYoHCQ45DsIRlBBHDgUJZAOU/n/6/fQt9D72APgK+k36/v12/8L64ves+g3xlO/R7VTwDPTf9gX5CwShDNYOWxLOEtMQ8AuPBgIAP/x09yf2FPeT+l3+6APmCdoP3hCcElUPOguuBW0BYfxH+RX3s/Y2+Hv7a/yt/7cA1P+T/V35C/i98FXuhu1o8aX13/dM/HIElw1uEPoRZBGBDhIJ8AOP/cz7+vee90P4L/tRAKYH7gsqDXQRqBCvCrYGxgKO/jH97vdG9Zv3V/p8+rr71/5C/iv7RPlr+JPxMe8t7ezx7/V5/FP9CQSlC5QRjxO6EfYNLwzhBb39SPqs+Ff4Zvrz/MABhAifDT4Qwg78EJMNxgg3Ai38MPtV+Qn3W/Wf+Q/+k/0VATD9VPw1+bP2cvFj7H7tQu2P8/z37fwCAc8JcQ9TFUYTlQ6MCQoFdAA6+7L3J/j4+bn8+ADwBF0M2BDNEGsP4w2qCcsDh/1w+a75yPlu+GD6cP1a/tsA7v/j+zT7RvgW9AbtpuyY7YDyPflf/gMBYQmIDiATlhKRDYwJsAW4AUL7FvcO9gb6GP2aASIF/AmzDGsRBg8NCw4GJgKl/nD6W/eX9v72Xfnb/ET9ov7a/Pn7n/ga+PLyvOxN7VHuovJ6+i/+7gEaCQYPoRIIE30O/wmfBk0Byvx4+SL4TPpL/+IDiQRNCrQNkBCaEKwK1wUKAqb/Y/zN+fb27fY5+uj7UPzB/Bv7DPhf91z1F+9Z7Z7sTfB894r7zf0RA4kIWBG7FFgQygi2BOMBYABz/YL4afea+ob/vwYFCpwL1g64D3UOIQu8BMn/rP0v/Dr5Tvi/99n59f3o/D/78feK9uD3f/Rj7qnrze2F9Df9cgAdA0cHpQ4gFEsUlg2ABn0DlQAD/nn5ifXI99b79ASzCtQNagyADagNuAwcCToDivwR+LH3G/cH+Cn5JPoN+1f68vnl9qr2RfG87ZPr6O5i8wz5d/1bAD0GZA51FKsUXA99Cf0EvAHvAKP8evpY+Jb8ZgOhCSYN7A2SDKgNvAtNCmEFnv7++mf4Evhf+cb6Ovuf+on5VPdQ9hn2NfIt7j7rHe/x8m/5G/0aAG4GxQ16EUMS2w1iCcQD/wDP/v7+zvpI+hD9IwLNCMYMvA2hC9wLXwhYB5sDlf58+pX3tvdA+Yn6wPt++r/3oPUv9i/2s/I67l3thvCZ9ZD9YQAtBpEJpA7yES4TOA8bCmgEXgBs/6b+/P0Y/9f/JgPTCS8NkQ7HDaMJXwbcAm4Abv10+rP3L/Xv9b73cPiy+L/0K/UD86TwdPAo8PTyCffX+sz+vARpCUkOthDOD0sNOwlzBY8CsgBp/2H/a/+UAt8FggrlDBwN+gssCW0GhQP4/+L7/Pnj9yn2Hfew+LH4bvcP+Kb09/Nq8frxLfSf93H6rfxV/0EFDwwyD+cQxA3TCdIFdQPVAscBnAG8AIoAKwPrBZcKzQyCC2oKAQbPAVj/w/y7+wv66veJ9+v2x/Z592f2Zvfg9b/0W/EB8hr1LflR/vgAlwPWBsULTA4yD8UMHgnfBdsEPwM7BC4DbwLfA0kF0ghDDMML7goqB5IE2AHG/8X+3/sP/EP5GviK9+33r/e596H3afUH9IvxMvKS9Ub6Av1BAA0CGwU9B9AIRwsECl0HNQaGApoBZQIbAjME0QSeBJAHIAk2CLAHIAbSBEsCmwDn/VH9Xf37+1n7/vrd+ab6IPqA+OT3PPXF9Hb0H/Y4+Rz8L/5PALEDIwXZBz0JegkqCJ0F1wOtAykD/QFdA0sE/gMGBW8GMQf2B/cFswTpAowBEAB8/v38If0n+0v72Pr4+r/6E/o4+Qf4NvdN9vL2Evdk+A37dPwn/pP/WgL9A5gFjQVGBaEE7wP2AmIDNQNIBPAELQTMBMEGfwYNBu8FDQXCA3kCKgGDAOD/DQAJ/23+BP4A/bz9Pv3f+/H6t/hA+Nn3OPdw+Uz6HvrY+5/8oP19AHUCzwHuApkCvAGmAX4B0AEjAp0DzgI8A7IBiQMwA48DLwPTA0QDmQHxAPr/zP9zAYoAGgDA/yD+Av09/Uz9Nf0U/KL78/uj+vn6/PoD/A39Pf4j/l3+Tv8DAP//nACHADQCfAK7ANwB/QGMAC8BwwF4AkID3AHdAFMAcwD9AKQBMAJQAeUAFP/x/vz+bgCE/xj/Hv8Z/bX7J/yu/Cb+T/1J/iH8hfuJ/Fb8X/1C/oX+I/+L/6H+nv/a/44AggGwAoMBkABk/yT/7gAlA10CfQIgAmkBRwLvAoUD7AI0A1sCXAF6AT0AJwDu/z0AvQCFAH7+Gf8U/7r+sf6j/vf8Dv7L/eb7b/yZ/a/8BP5j/ib+yv47/j/+d/65/8T90f9U/yz/iv+A/vb9DP8CAHwAegCtABP/xv6O/6sB8wHxAXABmgBA/08ApQDgAbsBJAF4AGT/Iv8U/5MAHQGPADEAFf7s/Wn+l/5G/x3/cf59/kf+O/5b/gX/3f8z/5EAOf/L/u3+yP5Y/23/OP+r/0b/af+Z/8X/RP9EAKMApQCu/97/gv/C/3EAAAD7////9v7h/5X/j/5Z/hf/Cf6E/hb/gP64//D9Xf+Y/9P/eQBH/2//Z/8G/5P/YQAs/4P+H/9O/0QAFwCW/7L/Uv+f/zwAOABPAC0AGwGp//f/CwAd/9IAsQDA/ir/2P6K/rX/Cv7a/xIARwDF//X+/v6F/13/xP+T/rX/hv6M/kr+Av+3/nL/q/9r/9v+k/4Y/q39Lv6T/jH/av89/gD/7P+m/0MA4AGGARMBCAFbAKD/8f+rAJoAOgBn/zUAvwDqAOD/lABYAdUAOwF+AFYAFADT/+b/YP8m/7n/CAAqAFX/PP4k/nv/W/9NANz/A//C/eT+qv/X/rP/tP95ANf+7f9S/m7+g/8RACEA1/9I//D+jP9L/5IAegDJ/wUATv/2/qL/HgDj/+L/UgCRAJYB+QBVAHQAxgDpABcBdwC8/+n/agAAANj/sP/QAAkByQBJAGYAHf95/34AhACI/7L/IP+1/qoADgAhAHkA9v9pAFf/wf5e/9r/r/+//hj/oQDe/h4AjgDm/yUADwAzAAUAuf9D/3D/EgAnAAUAZP/f/9r/fwBn/7cAav+g/0UAmf9PAGwACwBCAKEAyAAgAUsByQAaAf0A/v8zAOIA9wC8AKYASv9LADMAdwF2AQ0BGQCKAML/6f82AQ4BIQDX/13+A//q/1QAav7z/5P+BwDc/0T/Y/7C/5gAcQB5APr+iv9b/+H/AQGGAAoAf/8O/qP+qP+4/zn/v/8C//b/tP/v/8wAMQHNAJoAJAEKALYAYQGjABcBYgBuAIwBnwBmADv/fv+fAG4Av/82ABkAtwCRABwB0AASAWUBTQFUADD/HP+h/73/gf7M/sP+6/8f/7b+6f/6/1kAYAAqABUA3P7Y/5L/AADM/03/IwCw/x//7P9yACgA4/9+/7j+OP+n/04A1v+Q/hwAbv+rAL0B0QAcAXQAxf/W/4cB3AA/AUsAhv+b/5sAOQFKASAB7wCYAJ0ACgEAAbH/OgGFABH/IwDV/of+UQBq/wj/K//x/8X+lf/C/tr+yP/3/6H/sf+f/77/wv/3/4kAjQHd/rr+Zv8c/3kAHACr/gT/Dv9y/tD/Ev+p/mgAQABz/mT/e/9wAPkBaQF4ABcAyf9D/zoAzQBUAcL/Jf+8/rb+dgBfAAABFwGPAFj/ef9W/+0AzgBWAWoAz/5M/rP/pP8+AEYASgDx//L/L/+Y/kr/JwB7AJj/wf7s/fX9iv6B/1gA3P+k/+j+8f5K/6QAZP/r/9D/Rv8R/yD/wf7BABYAUgA3AJv/p/90AJwAQwDs/8n/nf98//n/6ADPAegAMQBhACkByAFzAIUAzQDHANr/1f+n/9oA0ADKAfkAxADi/zUA5/8sAYz/9P/6/pf+i/7A/lD/3f77/q3+zv85ADb+I/+s/lj/RQBDALb/Tf9+/+//3f+N/6sAUAAuAPL/q/5k/6T+wwCJ/8X/8P95/xr/7f4CAdsARgDgAC4AmQB2ABUBHQC3AC8BVgA3AX8ARP9Q/8MA2v8vATgBqf8SAPD/NwFPAYUBGgHH/zT/1f+R/+T+9v+M/2T/iv7X/1f/LwBHANT/DACt/zH/xP4S/1v/N/8kAGr/0/7z/zgACACrAOj/q/99ALX/if/v/1b/vP8NALkAagBtAaH/5gAIAQABDwHlAKAA9wC+/28AMP9dAZgApwAsAaL/pQFYAIsAKgCYASgBoQBCAAEAbgDqAHgBHAAPASP/6v/f/wMArP8m/xv/+f9t/xMBIQBW/8z/0f/gAMr/H/9wABL/Gv+Q/rL/PgCL/9z/cv+wADMA2P+FAGEAKwD1AAAAFACdAOT/bAFLAA0BtQAFAWMBvQGe/wQAxwBHAcgAxAAqAG0AjwBnAKwAKQHmAFYBMwB5/0//aACzAKH/jwCd/5H/7f7u/zQAJgDf/2f/dv9H/6T+eP/u/7j/FgDh/1T/7//j//X/PwBYADv/i//f/h3/af9a/6P+IwDK/iv/WP/x/+b/aABQ/zgA7AAe/1gAwwA3AbwAggFLAH4AqwC3AYYBtADm/y8AWwDR/54A8ABfAKX/nAAQAE4ATAC4AJEARQCZ/+H/QQCC/yf/B/9o/0X/vv/A/kn/CQD+/vD/vP9g/23/xf8IALz+Sf8x/wv/3v+n/64A1f4S/17/2v/A/woAsAB4ANz/FP8nAJX/DAE/ACwAVAB2/wkAhf/vAPgAmQAnASsAawF8/+n//QA1Ac0An//w/hoAPf+pAHQA3f/k/04AWQB5AAYAjf+M/+T+u/+u/3f/2v5y/l3/ff/u//b/k/+c/tH+Sf5P/5H/av+Z/yf/5/5l/0j/9P+TAFoA/v4c/9L9Dv/8/9//5/8L/x3/fv/W/1v/sgEhAYkAAACp/zoAxgCf/74AAwFxAH4AY//R/qgAdAGmAHQABgAI/yEAbP/8/+8AoAAo/6v/Nv8N/ysA0f4A/4H/w/5W/i7/5/7Q/msASv8BAEsAqv/o/uL+qP9f/1r/u/3R/pr/of1K/0P/rf9//8j/qv7c/qX+4P8BAPv/qv5R/wkARgA9ARkBYAAOATEARwAkANj/AgBdAHT/Nv/W/zAAof84AGsAUgCb/+P/AQBF/4T/Uf7C/ikAQ/4JAG3/Yv8sAPj+h/9PAOj/gv8d/8j9/v3i/q/+AP8J/jD/of9G/1z/Of/i/kP/AABM/2T/WP7Z/Sj+zP51AIH/yQDC/zX/EgDC/7cA7wBRALz/CP+1/2r/kQBsABYAywD+/24AwgEL/1f/3QDVACkA8wCE/9H/PwBAADAAef8pAML/T//P/3L+3P4r/jgAAf/S/uL/rf5R/pT+c//m/0YAOwDI/hv/q/3C/5IAkgCx/63/Dv4x/1r+F/8UALb/Kf4A/t7+1v1fAMX/gQDxAAMAG/8uARwAmQDvABQASwA8AGcAGAC6AUQACQC+ABEA3gDjAD7/JwA//yL/vwBaAN4Aif97ALn/mAAjAI3+YP8uAJgAov8c/l39tP6w/6oAsf/D/03+7P3v/eL+zf+XAFL/6f6W/nj+0/5QADgBEgGX/xT+VP4g/s3/gv/6AHH/mf7f/u/+xgBwAagASwEHAM7/KwDyAFgBdABXAV0B4/9MADoBtQAkAPoAVQD1/8D/kf8EAMUA1P9kABwATgDQABEAi/8YACcAnf/A/w3/ov4f/63/3v8HABEAzf+2//L/XP8RABEAvP/U/2X/uv7b/vX/ZQDnAAQBnP/v/p//jv8VADsAwf+x/nz/xP5w/4AAdgHCAf8APAHDAG0A1gAnARkBnQCwAAf/5P8iAGkBSAFZAIMBqABHAeEAzwA6AX0AoP+BAAcAiv8iAG3/Yv/k/nz/NABFAPn/LgCr/vX+r//b/wsB4v9e/z7+EP/7/m4A8gBjAHf/Fv9+/+7/f/+NAEQA4//x/jb/mv7a//H/jACEAGwAh/+u/2MADgG1AYQAogBEAPv/7wCn/1cAewDHAHYB1f+UAK0AHwEHAUwBWAGUAIT/Jv+8AMn/nP8eAA3/VP/j/4v/BACc/xYAFwBEANz/tf8fAAsAxf8SAEH/df/7/oMAMv5k/g//9v+f/6b/Kv/x/q7/VQClAKn/+P+o/+P/YwBl/w8AvAD4ADsAsv+6/ysAQgA8AFsBrACD/2sAYwBnAZ4B+wA4AhwBkf8tAOz/igBxAKn/qf+//8z+Gf8FACEBgQB3AOD/Hv9d/yX/3f9v/+b+vv/t/k7/Bv81/6UAJwEHAEMA+P4S/2/+k/8W/1f/hv8K/ib/vf6//nEAPgCf/+r/uP86/xMACP8FANgARgBTAM8AuP+DADoBCgFoAWYBpQDiAJsAhf8RABQAgQAaAdb/5P6M/+3/PgCUAZwBUQBNALf/uv+/AOn/HADP/y7/4f0h/9f+sf5/AOz/JQBEAHD+3v49AEcA6f8DALL9Pv7E/if/bP+N/1//AABSADP/kv83AEf/LwB+/0D/PP8cAAL/MgC3AJUASgHxAGoBLwFcAIEAF/+XAIL/IgCd/+D/E/8CAGD/zwDLANcAxQB+AIn/Uf+M/6L/tv+YACP/CP+d/Rn+sv/g/kwAL//D/1D/4/4Q/vH+VAFiAA0A2/5Z/jP+Vf67/zoA7f9g/87+Bv0o/7f/GQDA/6P/z/6m/tj+rf44AL8ACwBUACIADABUAC4BMQEbAfr/FwCxAIMAtP/v/+j/Bf/7AKcAHQARAGD/7v/DABQA7/+TAAD/2P+4/5P/UP99/x7/6v/A/5b/JQDI/rP+3/6v/2v/6v/7/uf+3P6r/kf/OACi/+D/aADg/uL+Hf/L/jr//QAVAEb+B/+3/pIATQCKABkByADQAJEA4/9mAL0AVAC4/wgACQBf/5//AAAUAB0BSgDuALoAawFSAK//PQCW/1UBagCS/1z/wP7V/50ALAAaAEj/h/+A/y0AOf9p/7r+9/7M/0D/UP90/93/bwAg/8n/2v+IAJwA2P/c/1P/Yv++/w8AmP8T/8T/zP5h/5//dABRAN0AkADq/4YB7v/QAAMAIwCHAOD/qP8NAH4AzQB9AToBZQB6AJQAFALeAN0AswD1/zgAS/91ADsAuwAm//b/ff9W/+P/j/59/+f+zv+2/qz9Iv8y/8r/LAD9AJoAVv8bAFIAjf6e/9P/of8p/wX+Ef6o/xj/IAGGAOj+Nv8CAEEAiQDG/2//UgB3AI4A0wASABIBYgETAeEBHgGKAAMBRADs//sAIwBrAFQAlACRAKMAs/+/ABUBzABxAEz/kf+k/ygAtP8YAFcA4/9s/5H/+P19AAUARf9wAE7/Gv9Q/9r/c//bAEoBTQC5/uz+Y/4dAPv/5v+K/wH/D/+g/8j/xP+hAOMAewABAD3/Wv8FAAMAXwDUAIIAOwB5AKUAoADCAPYB5ACLALX/tv+WAHj/iQCtAJIB2gDiAPgAQAEmAkgBTAHH/0oA4P+p/jn/Xf4D/9b+Nf/M/4X/9P8kAAgAvwAiAKz/EQArAJ//1/+2/vr+7f81/8MATf9F/9H/BQDJ/6T/vf+o/lkAK/8o/8z+Yv9H/2EAJQFRAIUB7P9RAN4ACQKuAd//RwCY/0AARQEYAYwA+v+tAPgAUQH1AN4Aw/+P/ysBq/+J/0X/0P70/moA1f4z/yL/pv4iACf/bf9oAGr/e//V//3//P/a/zD/i/+k/4H+tP+Y/zn/if9N/6T/gP/l/6L//f6L/z//Mv+EADL/WwA5AAkAkwDWAAsAAgBRAOwAeQCRALj/OP99AJIALwG7AFkAOgAaAJEB3QDVAOoAbgAGASUA0P8c/vP/8f+GAOv/Kv8n//3+t/9QAPL/RgBj/6r+8/7F/nv/AP88ALf/m/9a/8v+TP4oAMj///8FAPT+h/6S/gL/PAArAer/bv8B/8b/wf+1/xkACwB7/9D/lf+i/p3/cQD//5cA2wA1APX/DQAXAMIAxgCRAJ8AKv8oADb/FQBiAMcAhP/w/zn/Kf9H/zUAmv/8/7f/mf/i/k//Jf9l/9v/gf6b/gD/+/60/vD+WwARAFoAkv8z/zz/AP/N/zv/I/7F/tX+2f6l/9n+cP87AFYA+////8H+4P6U/5b/Sv+X/+T+BQAYAI4A9QAcAeQBWAFsACMBmP+s/6P/pf+yAC8AIf9G/zn/mgAVAUsBmQABAF3+o/5b/zwASgD3/kf/lP1j/hj/ZwCr//r+Iv9x/sz+T/4V/wkAqf/Y/tf+Sf8DAMv/IwBr/8v/x/90/6v/if+V/p3/mf8S/+L/Zf8O/9z/dQB2AIUAqf/J/z0BQQAwAcD/jABEAIwAgf+QAD0AXf/iAPX/J/8xACkA4f9KAMYAbAAYAOT/IP+M/5n/7v77/sf+Nf9m/on+oP6y/x0ASgDu/rn/W/+9/yX/cP/k/h7+SP8e/wD/8f7A/2b/LwDb//b/uf80AFP+5v58/V//yv4RAGv/9v/BAEoAMgFBAf8BegG4AOz/Zv+C/yT/bAAVAAsBJwBY//0A5gBXAvoAggCs/yIAFf8j/w3/0P9V//j+fP6j////LQCK/x4Atf/n/vf9Kf/5/yL/F//6/fT+Pf/j//P/SP9TAAsAtf+K/4D/Z/90/8b/8v87/3f+Tf/x//H+BgDL/q8AUQC1/5b/FgCy/y8AjADNAIkAQf/J/4z/bACiADgANgEmAVgAEgCR/yQApQDDAIQAXACm/hX+bv8iALsATgBHALX/Fv9B/t3+8P9DALf/iP6M/k/9Z/6v/10AbgD6//H9fv8Y/x7+yv+n/+/+tP7H/sj+rP6u/3f/ngCRALT/awBB/xMAeP/8AI8AsP/p/zn/Mv+FAHQA/AAMABQAxQD4/3YBev8FALf/rv9eAHT/y/+3/+3/vQCi/2IADf/CABoAlQCN/8P+4f7V/xoAR/+D/0f+uP+G/mj/R/9s/60Apv8LADT+pP+B/icAqv9z/+L+BP5y/lP/3f+8/2v/HwCX//f/ef///04ANwB8ADwAnP/d/9f/3P8mAKQAJwBHAPgACgDQAKX/VwC9AcgAtf9UALP/Dv8XAFgAtAC4ALEA3v9O/y3/RAHM/2L/Sf+P/tb+MP5k/rf/7/99AEIAsv9O/27+VACh/zEAEgBi/bL9pP44/iD/nQAm//3/nf86/kn/Qv+u/4kAcAAB/mr+I/4Z/ywAVAG/APD/Ef+F/08A+/9OAf8ArwBDAHj/d/8VAEgBdAF2AJ4ACAD2/mX/zACtAN4ANwCm/x//4f5Z/63/Ef8u/zMArv7x/m7+UP88AJIAdwB8/+T+1f6Q/n//OP9+/0r/lv5o/xr/B/9i/5X/mABI/9b+3/7W/lP/wf6x/1v/g//U/67/EwCu/zMAfwAIATEA///W/9z/NABZAPf/hQD9/9QAaQDPANwAZQBo/ywBQQG4AFEAAv9F//f+6//r/hX/DP/g/nv+Tf4L/yX/aQC0/+P/E/8S/7L+5/5z/wwAkf9J/w3+Qf71/5z/y/8E/zP/Kf8l/pP/lf7K/t//Qv5p/10Axv+Y/w0ALQAhAPQAHADm/6sAKQDm/6n/uf/UALQAsQDx/z0APgAeANEAxgDXAJYAxv+p/3gAvf9aALD/0/6pAIj/tv4JAEv/iv8q/w8Awv40AAX/iv46/pL+hAA2/zgAHP8z/2IA5f9UAAsA8v/V/0f+Zv6q/qv+8f0i/xj/U/9cAIAALwBZAH8A/wByAZIAIgDP/5r+HgAQAGT/PwDOAI3/XACPAZX/kQAzAKAArgFSAGj/8f5Y/zwAMgCq/9T/wADDAM3+K//X/ob/HQCy/5b+Jf+Z/Y/+qv92/zkBewBC/2sAhf+o/nH/1v60/zgAPP8K/gH98v2v/u8ACAAoABX/Qf5y/rb/bgDAABUByf5B/tv+ZQA4ACsAPwHCANf/j//RACUBMgBLAB8BnABC/yYA8P+M/8EALADvABkA5//X/w8AAQAHAGMAuv+PAGn+Jf/X/qT/ff/g/zv/Vv8+/yT+eP8TAIb/AQF1/1P+YP8l/zr/5v+E/5r/w/60/gf+CQDf/8L/4/8TAGr/0f+P/l3/HwAiAMb/kv+K/ngAZAD3ACcBDAGtALwAPQAjAMv/iwDy/5QAUf8HAEQAVgF5AFcB1ACjAC8AVwDp/x4A7f9Y/6L+w/4F/4z/OP/N/pb/cP/R/xn/6/8DAND/hv+s/noAOP7D/y7/hP+y/3L/7//f/8z/4f9//2n/+P9l/83+r/7b/0z/FACs/+z/6P42AQkBlQGYAGgAeQEnALoAIgCrALYAaAAe/+v/MwA1ACkBdwDEALEA2v8tAFkAEgCL/00AAwAwABP//P6N/o8AvP8tAF3/5v8J/2D/R/+0/zAAEf9o//j+hP2X/03/PgDt/3b/gv+U/6X++P/V/8n+HP8d/nz+ZP5M//b/EQDDAFIACAGaAKMAWwFXAWwA7f8u/9b+mv90/+b/SADW/38AcQDPAGcAaQBDARUB6ACK/mMAJP+vAPD/qgAHAEsA5v7u/23/Fv/4/tj+8P6x/d3+8P0L/4YAzgBX/ycAU/9aADcAav6a/9j+7P5l/iD+Bv91/7X/zf9p/83/Av9R/9n/3P/r/zMAzf+rALT/dwB+AKEAggCfAFEA+f4QABAAaADtAD8AhADzAPj/nACjAGsAsQHSALYA+P9KAMX/3QBQAFMAgf/6//v+s//x/vr+qf8l/0T/Nv/0/kf/wf/U/48AGACmAOn/aP8i/4T/+f4E/yP/wP5p/9D+Df9i//X/rgA5ABAAYACK/3H/zv9FAO0A0f8+APb/6f89AKgAxQBmAZEA4gAoAKwAUQCKAH8A1QBtAIUACgCX/w4ApAFIAeQAhgB2/z0AFQBoABoAt//r/gz/Mf+8/hIBBf9iAEcA5f5A/zIA7v/I/+z+Tf7f/nz/m/3+/2z+tP8vARn/J//f/yX/iwBTAF7/pf/G/jT/9P8rAHj/nf/KAA0AZAGBAG3/tf9XAR8BbAHzAOf/gf9/AKkAzADVAK0AmAB4AJX/tQAjAD8ANAB/AN7/CgDL/rf+yv+h/7n//f+S/ysAPP5X/zL/vf8+AP3+9/4A/9r9O/8q/7H/V/8vAOr/qv/C/y8A1f9u/6v+if/E/8f+0/72/Tr+JQA/AD4AAACAAP3/2QDl/xYAjQAbADEAyQDP/4IAKwDTACABowGyAcwAbQBP/0oAEwFIAGH/KgDa/8f/5f8mAPb+FgDX/zQAVv9X/z3/+gBn/9z/nf8hANv/IgC1/4f/DP8J/zX/DgCL/zf/tv8z/4r/EP/m/uv/EP9lAKX/jv7H/uT/Mf/MAP8AQQAZAPz/pv+YAAwB8/8DAV4Arf8NAIz/agB4ASYB0wANAcwAXwBsAfAAjAB8AJQAdf8XAJ//yP+2/7r/WABEAEIAXwDe/3L/fP+8/1z/qv+2/rP+QADB/nH/CABPAGkAigAx/1j/7v9l/nn+D/8G/+f/K/91/1f/NwAiAM8AgADtAHsAHv8C/1P/GwBEAJwAl/+F//AA8//V/zMCaABYAeIAEQBXAAYBI/89AMEA4f/qAFQAav9fAGwAu/+dAAQAvf9HAMj+oP4Z/57/uv5NAIkAbf8a/4L+Mf8gAMn/DQBE/6n+vf58/pj/AACB/+n+qf8y/5P+u/5y/xEAev/9/5z/cf+b/+j/AQBX/58AbQBH/7L/wv87APH/+ADaAMQAKAHc/58ALABsAAwBMwBhAMb/CQB7ABMANwDXAEIAsQDuAE//X//I/5X+jwAw/zb/Of8W/0H+AABj/woAeADB/6v/rv9b/5H+FP8MALv/Tf9G/nH+Kv+1//j/FwD0/0gAy/+B/yX/pf/l/93/oQD5/8b+Dv+QANgA7QCgAHEAewBAAQoBb/+H/1MAFgFjAUoAYP/3/rL/tgBJAkcATgENAEf/w/+ZAAn/+wAUAE3/L/+T/pX+EP8nAO7/6v/Q/1D+Q/+z/mf/mwBOAOf+3v5O/qv+6P7+/iz/Nf+P/23/M/96/2D/ZP8OATEAiv8F/5j+uv8c/3//XAHt/zgAhgDX/+b/igCgAFIAHgAkAHb/zP5tACIBOQHjAMz/zADXALQAewA7/2UATACi/1P/h/8K/zv/sP/n/4IAy/8A/8T+UP5PALL/m/+8/qj/v/75/9j+vf9tAMkAtP/6/jr+kf/p/43+uf7R/0b/zP4n/0T/av8nAKP/VgBsADwA7/6Z////gACcACAAlQA3AKAAfwAlAPcA6AC0AF4Bzv/a/58AnwByAGIBDQCxAF0A4P+KAKX/6f8CAP3+//7I/7z/of9W/0L/Pf4OADr/7QARAJH+eP+q/lf+bQAxAIEA7/8W/6X++f7y//z/IAFN/2D/7v0T/sD+eAAhAGQANgDQ/s//gf+b/6cA2QDyAEsAPf/W/hQABwDiAe8BPQHf/wAArv+7ADgBWAFCAIAA3P8qAEYAaQBnAKgBDQHXAJ//EwDF/mAAmv8e/yIAKP/Y/sn+1f63/s//gQAFAMAA7P7C/9D+Vf/t/7UAsv/D/mj/2/6L/s3/3v+Z/2QAEP/E/uz+Av9N/+n/+v/4/xYAXAD6/4MAqgBTAQIBRQFVAGoA7gAAAFj/gQBeAJMAVgD4AOb/9v7V/9z/WgFpAQkAJQDr/0z/kABcALAAOwHp/uD+Zf58/i7/oP95/9r/yv/H/hz/a/8n/x4AAgB6//3+Xv4R/07/Lv/gACUBzwCD/sD+Q/9e/xb/mv/y/m3+W/5R/jv/KAAWAewB/wG6ACYB5v/OAC0BcwH+/yUA1P2e/psAjQBmARkBUwHDAOsAbADG/w0B1wCjANX/kv4E//kAwwB/AKsA7v9C//T+uv9j/1T/M/+F/t/+/P6y/yEAXf9gADYAPADr/0X/IADU/xsAW/+F/+f/9/4EAKH/If8uABQAG/+1/xn/SP+K/5gAJwBbAewA2v8qAeEA+QDSAUcA7QB2AJL/7v87AJf/BwGwAeUAQAB5/2UAwQDWADYATgCh//n+e//6/sf/SgDJ//3/bv9b//P+0f5YAEv/5P+u/k//Ef8qAKn/wv9d/0H/+P88/6f/Gf8Q/zL/8/53/1MA4f/E/tj/ff/X/y//ef8wAJD/KwAfAOr+UP/CAGIBFAHx/2EAZQDDAA0B/gBdAHYARwBXAHAA5QDJ/9X/yv8/AKkA4v9n/5//uP9b/57/3f59/u7/D/8Q/wz/Hv7o/y//p//r/3v/e/9y/xD/Iv8ZABv/Qv8j/9D+Mv8J/3//DP87ADz/5P/c/30AFQBO/wT/Of/S////wf+a/z3+CwC3/1QAMgFCAJYALgARAOv/qgA6AFz/pgG0/+n/fv8rAG4A6/8NAE4ANQD//8H/4v+7/sn/jf8k/2L/nv92/xH/RP4K/2L/oQB5ALn/a/5r/n/+1P+i/8j/Av/K/TP/F/9v/yX/v/8eAAkArP/b/iP/lP8s/07/QgDK/8v/R//3/7v/LwBHAAMBxQD4/yYA4P/2//X/egEsAOUAHAAHAJcAEAC0AIQACQG0AFUAyP8eALf/hv8//+3/1f/C/57+fv/i/lH/av/j/5D/LwDq/qr+GP9o/p7/PgBA/4cAVv43/y3/6/9aAEIAVf/f/o7/Wf6E/yv+iv8jAIb/8f7S/gsAFABPAUoAIgARAdwA4ABoAef/UAGn/6r/VQCVAIEA8f///6n/XgB6AIcBQAFEACAAaP8FAHQAQgBdAHUAYgDT/lf/vf4cAPv/PgCB/sf+Sv4A/nj/bv/D/mn/dP5r/zv/FP8u/0oAvP+2AM//8f4s/gv/zv58/9H/F/8a/4/+sv+7/wQAtgAMAcQBov8dAHsAnP9zABACbQBvAAIAsv5//+YAhwDhADgBVP97AMz/D/9gAMMAuADvADIA3P6tAO7/t//aANYAgP8gAG7+V/6K/kL/df+ZAAb/R/83AKf+Sf6s/1IAcgDx/0b/uv1K/o7+6v9N/zUAFQCR/3/+pP6V/zMAbAFs/3cApP9s/0v/4f+lAAIBagEIAHMAdf/f/3EAfgAkAUQB0f8vAD8AnABwAUwB6wAi/6//jQG5AOoAtP/P//T/mf/l/zQBtgBx/5j+nf2U/tP/YQBkAD4ARv88//n+sv86AJgBpwAj/+n9Sf2u/ur/jv9+AMj/vf8c/+j+n/8zATQA0v8xAK3+CP+O/5L/UgDdAOQASwDbABgBgwHOAJX/zgByAScAVwBdAJj/yQDNAKD/YgF5AIMB7gBKAIL/MQCUAHcAUgAvAEoAEQBp/w//Qf/O/5T/xABE/67+Xf4V/xf/zwCv/8v/NgCP/p3/s/4EAL7/9P/U/vf+yf6p/gT/CAADAPf/qf9mAB//1v9n/2UA9//v/1z/OgBHAL3/gwCDAHkBFgHrAOf/eAAAACAA0gBCAKL/egC//+YA1gAEAa8ASQCkAAYAvP99//v+Pv8R/yb/Q/9//yoAgf+7AHD+X/92AKn/1P6t/6z+Qv9n/kr/gf80AWsA7f/o/eD+UP+m/2YAMP+C/lX+Fv7d/lT/JwCBAFgAu//y/qP/GQAvAFYBOQFbALv/tP9I/4oA7gCwAD8BWAB8ANz+G/+TADIBYgEcAOj/dP/m/+L/Bv+KAfgAFwBv/wf/bv7H/zX/NACDABb/Ov8e/rj+tP+O/+f/6v85/8b+vf47/kP/RABl/2T/2f5i/zf/K/86/9n+XAAwAE8AOP8Y/2v/DADX/64BiQCu/0gAC/+u/9D/kADmAPb/n/8N/0H/gwBtAAIB+gDp/z4BWAD8/1sBOAC7/37/xQCm/4r/S//X/of/6v8L/7T/r/5h/xz/m/45/0H/q/+e/xgAowCn/yf/Yf43//z/Rv/P/kT+uP1a/gL/hP7n/73/a/9E/23/QP8zAGv/V//n/4j/aAB6/1P/GP/CAOf/YQBWACcBxf8aAFX/gQDcAAwA7v+DAHP/YP8AAHn/xgC3/3X/PAADACj/yf/R/tr/JwCK/6H/hv4l/1D+J/+I/2L/dv89/wb/ff8fAJ//N//d/qD+lf/Z/nf+WP9g/of+gP97/xD/6/8p/57/Cv99/hX/YP/z/10AGgCL/0f/Jf+KADABfgA3ABQAcP+t/63/h/85AQQBiQBgALL/jv9OAAoBQABqAKgAdf/D/8P+O/+3AN7/3f/D/5T+Uv6A/+n9kP8GANr/A/+B/iX/EABN/5v/0//y/wkA7P5d/rb+7P+f/xX/v/8U/87+4v4Y/37+0f/Q/2f/pv5Q/5D/kwDA/9//IwCrAIgA6QCz/6//PwCWAH0BeAAgAD4Aef8wANwAu/9NAAUA1v+XAJwAc/9KAKcAbQAzALwAtP5M/wMAsf4eAML+E/+B/0D/1v70/tT+nf+O/5z/Sf/7/qn+Wv7G/0YAAAAY/wH/+v7B/8j/eP8YAGn+rf5r/9b+gf7z/7H+hwCU/yMATADP/9f/jQDF/3UAzQCLAEEACwB6/7EAqgFFAWoBIgDF/kn/iwAFAEkAuACf/m//nv+F/+cAMwDA/5YAtf9z/pf/+v5H/9b/vf6S/+v+M/7W/9P/R/9h/1j/C//W/47/gf8a/+D+c/+W/9X/JgBU/5//bf/1/27/SwASASb/+/86/43/wv9UALD/1ADS/xAA+v+YALUABwHGACUBCQE4AI0AUgFJATcAlgD8/4EAqQAMAAkAVADl/3cAgwCK/5X/8ACS/8r/Bf9F/xgAkP/l/r//6v+7/2H/Kf8e/0oAn//8/83/8/47/nz/xf4OAFv/mf9Y/8f+UP8JAEkAlP9+/6wAyv8BAPj+dP82ALIAqwAPAZwAoP8iAGoADQFwAccAAQBDACgA6//3/wUA8wCtAGoA2//3//P/IgC2AMEARQDb/7D+Ef8IAMv/QQBD/43/u/+g//j/p/8a//L+1/98/wz/mP8C/wj/8f/6/xH/If+2/8b/wf8G/2P/qv6g//f/PwBC/3gAeP+x/8z/zv/U/9wAcwAkAM3/5/8NAOsAuAEAAToBKQGe/+EAEgAqAEYBUwAIAH0BDgDr/80AGwCtAYgC/gBO/3j+qP6A/7//0/+a/1L/Cv78/nz/FQDeACkA+P90/5n/Bf5X/yr/1v97AIn/bv9z/oP/g/+gANj/0QDe/vD+L/+B/hgAUP9wABcBqf9D/4f/tABbAdEAegDp/7D/DABaAIoANwAOAQ8BQgDrAJcAdQDUAHoAXgCSAIsAVf/N/1cAjQCUAHUAGv8JADcAcP5OAM0A9v/b/u3+df+c/2wASv8YAJ3/3f/o/s/+Sv/wAEoAav8a/6/9U/+4/4X/hQAs/5j/iP92/8D/dP92AA0AeQBj/wH/Kf+U/9YAQwGy/6IAZQGYAHMAOwC1AIIArACPAbgA3P+u/g4AnwBGAW4BXgAC/3T/Yf+h/8X/4ACz/0QAZ/8P/7r+EgCr/ygAlv85/h//c/5D/p//cP97/+T/pv+X/4H/r/7d/lj/cf/3//r+OP4AAF/++/9x/6z/OAD+/wL/H/9q/s/+rv+5/xAAJwBCAEj/cABtACUAzAE2ANcA0v8tADb/rgB3AAUAZwDd/4sAmgAR/5//YgDzAJH/6f5M/8//I/81/w3/Hf/4/o//if9i/2b/ov/q/vT+6v7G/4f/o/5y/8D+Rv9p/pb+7P/N/6H+5/9A/t7+hf9O/wkAnf9H/7X/Bf9p/47/s//3/0n/LAEFAOgAuP+//24AKwGJAPv/JwCC/2oAef/V/1kAzAD+AMMAhf/S/5UAqwDg/3MAfP/P/sz/oP/Q/i7/Mv8A/9n/L/91/7H/xf7q/1b/7v6K/wn/nv9c/9j+P/9k/yz/of+t/7T//wAq/wz/rv6S/97/xP8R/77+Gv9C/wEAWv4zAEEBGQD3Adj/ZABQAK//IABNATAAyv/b/rP/igAQAGMAAQHLACUBaQFlAOX+UQCf/xYAAACo/6X/M/4f/yj/egDW/1wAUQD8/oz/4/3q/rL+hP8SAK/+sf82/sj+q/+Y/2YAAQAoAbr+Av6s/gb/7gDV/1MAwv8G/pb+/v4MAPAALQDj/4v/H/+q/7EAEgBCARIBBgHO/yoAqv6a/+wBxQCLAD4AMf8w/7sAbABMAXgBqv9i/8b/gf+2/8j/RABO/z4A+/79/zb+UP9ZAMj/hf+z/8P/R/9k/mv/Hv/S/9v//v58/n3/xf23/n//v//RAFj/eP7S/uL/s/57ANz/BQBOADf/rP9//2D/SQCzAVMAoP9k/yX/KABRAJMBXgDyANH/lQChAJ8AxQDE/yoAEwFLACQAif8N/+//VgFgASQAfv8A/2X/mACG/wr/ev45AI7+a/9T/gT/jgDB/0QAof/3/qD/0v/N/y8AP/8H/7P/n/+R/6T/g/+1/loAP/8TAH//2P+q/yUAff+AAEUAQQAv/+L+j/92AN4AewCCAGwARwDuAL4BsgFaAWEBNP/Q/xgAqP8/ADsAFgDNACn/pP+bANsAgwGuACEACv9F//z99v7K/xL/Ov8D/x7/yP8WANj/AADU/y7/LgCuAPb9NP5N/rb9mgCMABkAxf21/dD+GABvAaj/uv+V/4X+Uf90AF0AQAD+/wYAhwDJAPT/PAAoAHwAzf+iAGP/ugCyAAwAqv8SAAMBJAGaAOYAEAAm//r/VgBkAI8A/v8sAPT+Vf/k/2T/S/+e/x4AKf/3/u7+qP+A/0z/VwBPAE//kf8F/4D++P7+/9b/jv/y/mr+Af/l/zP/ogBxACsAbP7k/qz+qf8v/8b/jf+O/tT+rv+jACwBjQHBAP//gwAPAXMAXgA8AIQASgCs/wAA4wAZARYBTAAnAAoAq/+nAAAAqP/p/3X/T/+cAN3/hwCg/wsBKP+y/8z/q//o/sn/Jv49/5z+b/4fAO//QP/5/0H/0wBj/6sAKQAcAIH+Sf7q/8P+KwBT/y3/2P87/2f/+QAqAPEA4QCD/wQAnv99/wYAQwGiAA4Af/86ADsApgC+AE0BigBAAK7/GQAMAI7/JAGrAKX/1ABH/3z/TQAp/8IAmgDX/1X/Av+T/jj/x//g/vf/9P7q/bX+Q/9T/x8AQADO/rYATv9i/ywAbP/R/qr/M/7t/i//uf5Z/yr+Xf9Y//UA2QBX/yMA8f6UAJwACADD/4AAsv+L/1IABgBjAFIB7f9qABwBhQAGAMT/GwC4AMj/wv+e/2cAy/+K/tn/VgD2AFIA+f6y/of+rP9V/vb/Bv/j/mP+av6A/xL/0P9OAIb/k/+o/vL+w/6n/1H/7f+R/yz+JP8I/7T//P5w/w//bv8r/+r+8v6m/83+EQGXAKP/AABA/1sAEQEPALIAcABr/2oAHADXAE4AEgBV/3YAagAAACMAw/85AD0Axf/5ALH/HABiAH//X/9B/7v+yv5c/zn/Gv92/q7+cf85AE4Ayv+V//z/mf/F/+P9c/99/xf/L/+M/hb+YP++/gEA1ACN/zD/Qf/P/lj/IgCsALr/jv8u/4H/YACpAHUBGQLPAJYAd/87//IAFgCGAQ7/nP6L/o3/qwBVAcAAKAEbAcgAnf9EAAwADgGA/yr/3P7E/6n/Yv/S/xz/6f/6/7P/G//j/hr/7/08/2r/PQB+/z//yP7V/7X+Mv84/4MAKADL/xT+Ov5L/wUAEwBUALv/qf5E/2n+9v5UACEBCQGo/3kAtP9CAN4AcwHgANsAtACbAJH/If/nAFgAyQD8AIMAuwCt/y8AoACb/xAA7f/i/1H/Hf8Y/iL/h/9KAEEBOQAt/3j/kP8N/pH/nf4bALD+wv7w/Zf+5P5rAL0A4ADD/+D+CP/2/hAAHP9i//P+hP/A/iv/GQA+ANP/EAB3AE7/8//J/+P/ggCf/8D/RwDQABcBugF6AEAA2gDr/34A1QDl/3EAcABW/xv/jv8wAHgAaQHnAAr/x/5O/iMAiQC/AO//d/9h/jX+mP/E/93/xADI/gz/fv7g/cP+2v8PAAkAPf8H/gH/sP5V/6UA3gA+ADf+FP9o//b/aP91AJr/Xv8E/2X/MABHACEARAB/ACAATwEMArj+NQAJABwBXwHaAIgAsf9x/5MAFwCNAOsASADC/yz/7/8LAdgAGQCQAP8AMwDZ/QL/4f6s/3//g/9N/jP+bf5z/x0BXgD3ADr/Ff+h/p7/1v8sAOj/5/6+/p7+zf65/j8Atf/b/6L+M/4i/+L/YAAuAGgAfQDSAEMA3P5EACkBuQA4ASgBzf+X/+v/PwHEAHcAiwAbAB//MADG/6r/ZQBJAe8BFgGd/6D/5v8XACMBGwHu/oz+pf4Q/7X/JP++/wr/rf9g/zz/A/+d/nz/MQBn/38AQf9q/mr/zP7K/7//lABN/w//of7c/sf/ov8BANL/Tv8B/xD+nf8mAN8AbACuABoApQBMAGEBWgHwAMcB7/8Q/yf/YQAdAJUAPQDl/wAAIQDYANEBXwEjAF8ARwDw/0kAzf5a//v/G/9x/+b+7v9i/5wAiP9x/3z/qv/j/ur/+P5g/nX/aP64/wD/cgC7/7z/Uv/V/yUAIP/V/7D+Ef/9/iv/Cv+J/3//4P+OAIEAWgG9ABYAywA5AK0A9wDF/5j/PQB8AIP/qwBbAFQALgLAANEAIwB8ADYAqwDj/8EA5P80AOz/DP9t/+P/yQAhATv/xP+O/rf92f84AMf/tv8b/5r+kf+d/q//RgBrAH8A1/+M/lX+9P4RAHP/1f+R/+r9W/7S/T7/qgDGAKD/yf9+/+7/9QASAGgADAGP/5//6/9z/wgAWgBaAAAATwCmAOQABAGiADcAQAACAFj/JQAkAYcAMAB5/yf/MwEcAdQAtACM//7+yv5s/k//KP95/x7+Mv6A/zv/kP8z/37/oQCx/1D///8=\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Clean speech')\n",
    "IPython.display.display(IPython.display.Audio(data, rate=fs))\n",
    "print('Corrupted speech')\n",
    "IPython.display.display(IPython.display.Audio(data_noise, rate=fs))\n",
    "print('Filtered speech')\n",
    "IPython.display.display(IPython.display.Audio(data_filt, rate=fs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Compute the spectra\n",
    "spec = np.fft.fft(data)\n",
    "spec_noise = np.fft.fft(data_noise)\n",
    "spec_filt = np.fft.fft(data_filt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Get frequency response of the filter\n",
    "w,h = freqz(b,a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the magnitude spectra\n",
    "f = np.linspace(0,4000,spec_filt.shape[0]//2+1)\n",
    "fig, ax = plt.subplots(4,1, figsize=(7,7))\n",
    "for ax0 in ax[:-1]:\n",
    "    ax0.set_ylim([-10, 400])\n",
    "ax[0].plot(f,np.abs(spec)[:f.shape[0]])\n",
    "ax[0].set_title('Magnitude spectrum of clean speech')\n",
    "ax[0].set_xlabel('Frequency [Hz]')\n",
    "ax[1].plot(f,np.abs(spec_noise)[:f.shape[0]])\n",
    "ax[1].set_title('Magnitude spectrum of corrupted speech')\n",
    "ax[1].set_xlabel('Frequency [Hz]')\n",
    "ax[2].plot(f,np.abs(spec_filt)[:f.shape[0]])\n",
    "ax[2].set_title('Magnitude spectrum of filtered speech')\n",
    "ax[2].set_xlabel('Frequency [Hz]')\n",
    "ax[3].plot(8000*w/2/np.pi,np.abs(h))\n",
    "ax[3].set_title('Magnitude of frequency response of the filter')\n",
    "ax[3].set_xlabel('Frequency [Hz]')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(n,p,k) = tf2zpk(b,a)\n",
    "\n",
    "plt.figure(figsize=(5,5))\n",
    "plt.xlim([-1.5,1.5])\n",
    "plt.ylim([-1.5,1.5])\n",
    "plt.xlabel('$\\mathbb{R}(z)$', fontsize=15)\n",
    "plt.ylabel('$\\mathbb{I}(z)$', fontsize=15)\n",
    "\n",
    "# jednotkova kruznice\n",
    "ang = np.linspace(0,2*np.pi,1000)\n",
    "plt.plot(np.cos(ang), np.sin(ang), linewidth=1, alpha=0.5)\n",
    "\n",
    "# vykresleni nul a polu\n",
    "plt.plot(p.real, p.imag, 'x', markersize=9)\n",
    "plt.plot(n.real, n.imag, 'o', markersize=9, markerfacecolor='None')\n",
    "\n",
    "plt.grid(alpha=0.2)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# ugly implementation\n",
    "# probably there's a scipy function for this?\n",
    "def transfer_func(z, n, p):\n",
    "    nom = 1\n",
    "    for i in range(n.shape[0]):\n",
    "        nom *= (z-n[i])\n",
    "    denom = 1\n",
    "    for i in range(p.shape[0]):\n",
    "        denom *= (z-p[i])\n",
    "    return nom / denom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = np.arange(-1.5, 1.5, 0.1)\n",
    "y = np.arange(-1.5, 1.5, 0.1)\n",
    "X,Y = np.meshgrid(x,y)\n",
    "tr_f = transfer_func(X + 1j*Y, n, p)\n",
    "\n",
    "thresh = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "f = plt.imshow(np.minimum(np.abs(tr_f), thresh), interpolation='none', extent=[-1.5,1.5,-1.5,1.5])\n",
    "plt.colorbar()\n",
    "cmap = f.get_cmap()\n",
    "\n",
    "# unit circle\n",
    "ang = np.linspace(0,2*np.pi,1000)\n",
    "plt.plot(np.cos(ang), np.sin(ang), linewidth=2, color='red')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.gca(projection='3d')\n",
    "ax.plot_surface(X, Y, np.minimum(np.abs(tr_f),100), cmap=cmap)\n",
    "tr_f_unit_circ = transfer_func(np.cos(ang) + 1j*np.sin(ang), n, p)\n",
    "ax.plot(np.cos(ang), np.sin(ang), np.minimum(np.abs(tr_f_unit_circ),10), color='red')\n",
    "ax.set_xlabel('$\\mathbb{R}(z)$')\n",
    "ax.set_ylabel('$\\mathbb{I}(z)$')\n",
    "ax.set_zlabel('$|H(z)|$')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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