kahartma/07_KSScore_devel_CL0.ipynb

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## gistfile1.txt
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    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  },
  "name": ""
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 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import scipy\n",
      "import random\n",
      "\n",
      "import logging\n",
      "log = logging.getLogger()\n",
      "log.setLevel(\"DEBUG\")\n",
      "from braindecode.scripts.train_experiments import setup_logging\n",
      "setup_logging()\n",
      "\n",
      "from braindecode.veganlasagne.layer_util import print_layers\n",
      "\n",
      "import os\n",
      "from numpy.random import RandomState\n",
      "\n",
      "%load_ext autoreload\n",
      "%autoreload 2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "Using gpu device 0: GeForce GTX TITAN Black (CNMeM is disabled, cuDNN 5005)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/home/hartmank/braindecode/vienv/local/lib/python2.7/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
        "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "from matplotlib import pyplot as plt\n",
      "import seaborn as sns"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import receptive_field\n",
      "import analysis\n",
      "import utils"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "modelpath = '/home/hartmank/braindecode/data/models/'\n",
      "modelname = 'paper/ours/cnt/deep4/car/22'\n",
      "savepath  = '/home/hartmank/data/convvisual/RF_data/'\n",
      "RF_save = receptive_field.ReceptiveFieldInputsIO()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "rng = RandomState(98787)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "KS_means = np.zeros((5,5,7))\n",
      "KS_maxs = np.zeros((5,5,7))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "cl = 0\n",
      "cl = int(os.environ['EEGCLASS'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "layers = [4,10,16,22,28]\n",
      "feature_funcs = (analysis.get_frequency,analysis.get_frequency_change,analysis.get_offset,analysis.get_offset_change,analysis.get_phase_change,analysis.get_bandpower)\n",
      "\n",
      "for i,l in enumerate(layers):\n",
      "    filename = 'Layer%02d_nUnits200_nFilters05_filterdiff_traindata.data'%l\n",
      "    RF_data = RF_save.load(os.path.join(savepath,modelname,filename))\n",
      "    RF_results = RF_data.results[cl]\n",
      "    \n",
      "    classes = RF_data.classes\n",
      "    neg_classes = np.delete(classes,cl)\n",
      "    Inputs_baseline = np.array([])\n",
      "    for c in neg_classes:\n",
      "        Inputs_baseline = np.vstack([Inputs_baseline,RF_data.results[c].inputs]) if Inputs_baseline.size else RF_data.results[c].inputs\n",
      "    \n",
      "    n_chans = RF_results.n_chans\n",
      "    sampling_rate = RF_results.sampling_rate\n",
      "    \n",
      "    flip = False\n",
      "    for j,filt in enumerate(RF_results.max_filters):\n",
      "        X_RF_cropped = utils.get_RF_old(RF_results,j,n_chans) \n",
      "        \n",
      "        if not flip:\n",
      "            X_baseline = utils.cut_baseline(Inputs_baseline,3,X_RF_cropped.shape)\n",
      "            flip = True\n",
      "            \n",
      "        \n",
      "        features_class = list(utils.get_feature_vals(X_RF_cropped,feature_funcs,sampling_rate=sampling_rate))\n",
      "        features_class.append(np.angle(features_class[0])[:,:,1:]) #cut off phase 0Hz\n",
      "        features_class[0] = analysis.real_frequency(features_class[0])\n",
      "        \n",
      "        features_base = list(utils.get_feature_vals(X_baseline,feature_funcs,sampling_rate=sampling_rate))\n",
      "        features_base.append(np.angle(features_base[0])[:,:,1:]) #cut off phase 0Hz\n",
      "        features_base[0] = analysis.real_frequency(features_base[0])\n",
      "        \n",
      "        for k in range(KS_means.shape[2]):\n",
      "            feat_class = utils.create_flattened_featurearr([features_class[k]],shape=(features_class[0].shape[0],-1))\n",
      "            feat_base = utils.create_flattened_featurearr([features_base[k]],shape=(features_base[0].shape[0],-1))\n",
      "            print feat_class.shape,feat_base.shape\n",
      "            feat_diff,_ = utils.feat_diff_KS(feat_class,feat_base)\n",
      "            \n",
      "            KS_means[i,j,k] = np.mean(feat_diff)\n",
      "            KS_maxs[i,j,k] = np.max(feat_diff)"
     ],
     "language": "python",
     "metadata": {},
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        "utils.py:92: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
        "  tmp = inputs[i,:,ind_start[i,j]:ind_end[i,j]]\n"
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        "(200, 128) (4026, 128)\n",
        "(200, 12160) (4026, 12160)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(200, 128) (4026, 128)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(200, 24576) (4026, 24576)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(316, 33408) (4026, 33408)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(316, 16640) (4026, 16640)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(316, 128) (4026, 128)\n",
        "(316, 128) (4026, 128)\n",
        "(316, 16512) (4026, 16512)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(316, 128) (4026, 128)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(316, 33280) (4026, 33280)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(214, 33408) (4026, 33408)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(214, 16640) (4026, 16640)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(214, 128) (4026, 128)\n",
        "(214, 128) (4026, 128)\n",
        "(214, 16512) (4026, 16512)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(214, 128) (4026, 128)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(214, 33280) (4026, 33280)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(153, 33408) (4026, 33408)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(153, 16640) (4026, 16640)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(153, 128) (4026, 128)\n",
        "(153, 128) (4026, 128)\n",
        "(153, 16512) (4026, 16512)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(153, 128) (4026, 128)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(153, 33280) (4026, 33280)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(117, 33408) (4026, 33408)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(117, 16640) (4026, 16640)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(117, 128) (4026, 128)\n",
        "(117, 128) (4026, 128)\n",
        "(117, 16512) (4026, 16512)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(117, 128) (4026, 128)\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(117, 33280) (4026, 33280)\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(KS_means.mean(axis=1))\n",
      "plt.legend(['FFT','FFTc','Mean','Meanc','Phasec','Power','Phase'])\n",
      "plt.show()\n",
      "plt.plot(KS_maxs.mean(axis=1))\n",
      "plt.legend(['FFT','FFTc','Mean','Meanc','Phasec','Power','Phase'])\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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jtttu5aGH7iUgIIAHHniAa68dxYMPPsjzzz/Nyy+/xFNPPcXYsaNQFIWOHTvy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\nIiIiIrIJbFyJiIiIyCb8H0JKxWsozWL9AAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x2b45d3c8ff50>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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UDuoRzlN3XixBqWgym0PhcIWJDdlFLEg7xr92HmL5wXy2F5XXC0ojjXqGRgZx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\npeVUlWbmyYzM9DLqDfOndTto6kj0Y9dplFx/dj0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MWhbWONjQPEQ4Emdb+wiCAHUVyZ3A\nTjUzOjCFRHA6q9qOxxXCOeTH6w4xMuSnqr4Aly/Myx938McXdvDR9gFcvsSVvVat5NRFpdx8XiNn\nr6ik1JHcJ5lsQt6MkudYNOvo93LvY5tp6khUUzqsOr55+SJWzC3K6I0kHUzVXOv2hfhzcw+9gUQ+\naaVJx8315RQbsu+WYyo0qymz0tzlYtgdorXbTX2FDYctfe0CpwN5X0seWbPUSFU3vUrJ4nwzvYEw\nI+Eoo+EYTS4fdVYDBtXED8AsBg1L6wrY1DJMIBxjZ6eLSFRk7uy8jP2bku7ANGuKn76IKIq89uwO\n2pqH8AIBs4aesROCvRSNtQo9eUHJhPvaZjtywnvypKKZJEn8/bNunnyrlVg8MeeObyzk+rMa5LmW\nRj4dcvN8R+LqHuDEQtvY1X1mbtBHY6rW54gnxA///An+UIw8s5Yf3XQ8Jv3E8vEzEXlfSx5Zs9Q4\nVt3iosQLnYN8MuQBwKBScl1NCZXm5D4cjnrD/OLRjfQ5E02LvrS4lOvOrM/I1Jx0Fz9l3YnpXiJR\nkd5wjA+6XPSKIp5IHImEMcOi6nyu+XIdV55RS02ZNacqoY+G/Ck5eZLVzBOI8IfntvPG592IEmjU\nCq4/q55LT61Ck2OpIUdiMudaVBR5ds8g63tHkEhUvH5lThFfKsnu9r9TtT71WhWFNj2f7hwkFIkz\n5AqyvKEwY09cjoa8ryWPrFlqHKtuCkGg3mpEp1TQ6gkQFSU2Ob3Ytaqkbnn0WhXHNRbStGcUtz9C\nR7+X/pEAi2sdGRecpvvENOuOdgZGA6z/vIf3th7YKlQJOIAvLSzlrHPqs3YDlslsmvaMcP+6Hbh9\niWvlikITt180j5L8yetINtMYDUd5qLWP3kAiFSdfq+aampKsvLqfTpY3FHLKwhLe3dLHZ7uGeG9L\n34yt8pWRmUoEQWBlcR75WjWPtvUTFSUebxtgOBTl9FL7hOMTi0HDv1y1hF8/uZmWbjefNA0SjsT5\n+sXzc/oQJCtOTGNxka1tTh5+vYWHX2+hrddDbMwqprzAxAUnVVLki6L1x3AN+FAoBEpn2aZ55NOD\n/Ck5eSaiWSwu8sy7bTz4yq5xZ4fTl5Xz9YvnYTXNzIBpMuZas9vPX3b1MBpJfOhstBm5oa4UmzZ7\nr6H3Z6rXZ2NlHp/tHMQfitHUMcpxDYVZeaUv72vJI2uWGunUrUCvod5qYKcrQFgUafcGGQ5FqLcZ\nUU4wOFWrFBzfWERHv5dBV5CB0SCtPW6W1hVkzG3wjCp+8gWjvPR+G398fgdvbOhhcKwd6d5Wodef\nVc9lX6qiqsxKdX0BHa1OQsEoPZ0utFoVRWW5adNzJOTNKHmOptmwK8ivn9zCx02DAJj0am6/aD5n\nHleBMktsiiaDdM41UZJ4s2+UZ/YMEpUkBODMsnwuqCxAnUP+pFO9Pr9oIbW7JzstpOR9LXlkzVIj\n3bqZNSoW2M20e4N4o3EGghHavEEabEY0E9zbVEoFyxsK6XP66XMGGHaH2Nk5ytK6gow4OZ1RgenV\nP3iZTS3D+EOJ0xOLQc2Zx83iaxfO45RFpeRbdeNH4mq1ktl1Dtqbh4mEY3S1j2AyaykoNk/nW5hy\n5M0oeY6k2ac7B/nVE1sYdCU+FNVX2PjnK5fIzRhI31wLxuI8urufT4bcABhUCq6tKWFZgTXnUnKm\nY33mmbWolAp27ElYSMXF7LOQkve15JE1S43J0E2nVLA438xAMMJwKIo7EmPbiI8aqwGTemIZlUqF\nwLL6AkbcIboGfYx6w2xtc7K0rgCdZnqzMmdUYPrXl5uARKvQy1dV89VzGpk3x35Yb0iNVsXs2nza\ndg4RjcTp2O3Elm/AXjBz8v/kzSh5DqVZOBLnb6/t4qm324jFRQQBLj5lDjee0zhjqu6PRjrmWl8g\nzP/t6qHLn2hKUGbQcnN9+WF6Tmc/07U+q8ustHS7xy2k6ipsFGSRhZS8ryWPrFlqTJZuSoXAAruJ\nqCjS6QsRiotscnopM2jJ100sqFMIAotrHfhDMdr7PHgCUTa2DLO41oFhgl0wJ4MZFZj6Q1GuOr2W\nC06aTXmhCeUErp+0OjUVVXZ2Nw0Ri4rsaRmmoNiMzT4zWvPJm1HyfFGzrkEf9z62ie3tCW/SfIuW\nb1y+iJPml+TcCd6xcKxzbeOwh7+19uGPJXJ2jyuwcFVNCcYJniBkI9O1PgVBYO5sO+9v7SMSE2nq\nGOXkBSUZcQ04EeR9LXlkzVJjMnUTBIFaqxGLRkWz209MlNji9GJUqyif4IdxQRBYUGVHlCSau9z4\nQzE+bx5iYbVj2vLHZ1RguqyhCL1akfTk0Bs0lM/Oo7VpkFhMpK15mOIyC5YsOiFIFXkzSp69mgWD\nEV7/rJvfPbsNjz9Rdb+svoBvXrGIYvvMOXWfKKnOtZgosa5ziNd6nIgSqASBi2cXcnpZ/oQLArKV\n6Vyfeq2KojzDuIXU4GiQ47LEQkre15JH1iw1pkK3MqOOWaaxNqaSxC63n1BcpMZimNB6FASBxko7\nGlUiRScYjvNp0wBzZ9unpRh3RgWmcHgf06NhNGkpqbDR2jRIfCw4LavMw2TO7QpqeTNKHoVCICrC\nLx/dyGufdiFKEmqVgmu/XMflq6qz5lRpqkllrrkjMdY297Ld5QfAplFxY30ZDTbTZA41Y5ju9Vnq\nMDLqDdMx4KXPGcBu0VGZBXn4061bNiJrlhpTpZtdq6bRZqLZHSAYF+nyh+gNhGmwGSfcQKS23IbF\nqGHrbifhqMgnTYPUzbJht0xtKlS6A9PcKXc9BCXlVs6+dD4KpUA0EufFx7fgHPRN97BkMoRgOEbX\noI8PtvXzjXvfZEPzEABlDiM/+OpyVi0py4rTpGyhzRPgvu2ddI7lk9ZaDNwxb1bO5pNmKledXkvx\nWGrTw6830+f0T/OIZGRmJoV6Dbc3llNpSuyBO11+7t/ZjTsSnfBznLakjFsvmItCEAiEY9z76CZ2\n7BmZrCFPCVnbkjQZ2nYN8dqz25Ek0BvVXHzNkpzNOZXb0O0jLoqMeMIMu4IMuUMMuYJj/4UYdgfx\nBg5e/KuWlHHl6hr5lHQCTHSuSZLEewMuXu0aZu9PnVZi5/Sy7O7ilAqZsj47+r3829rPiIsSlcVm\nvnvdMlQZbMuVKbplE7JmqTEdukVFkWfaB9k04gXAolZyXW1pUh/aN7YM8ftntxOLi6iUAl+/eD5L\nagsma8gHkO6WpDMiMAVo3tbPG+t2AmCyaLn4miWYrbl3UjOTNiNJkvCHYvsFnImgc8gVZNgdxOkO\nI05weltNGq4/q37KFnIuMJG5Fo6LPNU+wLbRxE2FTqng8qoiGmfI1f0XyaT1+fLHHTzx5m4Azlkx\ni8tPq5nW8RyJTNItW5A1S43p0k2SJNb3jvBGb+K0U60QWFNVzNy8ie+VO/aM8D9PbSUcjaMQBG45\nv5ET5hVP1pDHSXdgmrvlr1+gbn4xkUicd19rwecJ88Kjm7n42iUYjOnLi5BJP9FYnOHx0859p557\nv7a3C9NEMOpUOGx6Cqw6Cmx6Cmx6HDYdJflGambn4/UE5Q08jQwGIzzU2stQKHEyXazXcE1NyYSt\nUWQml7OOn8W2thGaOkZ55eNO5s+x05hl/qYyMrmCIAicXpaPQ6fhqfYBoqLEQ619nF3uYGWxNpYC\n0gAAIABJREFUbUJpZXNn2/n2lYv51eObCYRj/PGFHYQicVYtKZuCd5A+ZsyJ6V42ftTJR2+1AWAv\nMHLR1YvRZWGLvsORbZ+SRUnC7YscdOo57E782zXWk34iqJQC+dYvBJ7j/9Yd1uct2zTLFI6k27YR\nL0+2DxAZKx5YbDdz8ezCCXc6yVUyba6NesP84P8+xh+KYTNp+PHNKzKyZWmm6ZYNyJqlRibo1uEN\nHmClt9xh4aLKwglZZgJ0Dnj578c24RlLV7t8VTXnnFA5aeOVr/LTwMfvtLHhg04ACkvNXLBmEZrD\nmPZnG5mwqL5IMBw76Jp9379DxOITH6fVpKHAmgg0HVb9eNBZYNNjM2lTarWYiZplA4fSLS5JvNbt\n5N3+hAesQoDzKgo4oTD3ujilQibOtQ3NQ9z39FYAltYV8A+XzM+431Um6pbpyJqlRqboNhKO8mBz\nL0OhxOFMtUXP1dUl6FUTq3/oc/r5xaObGPWGATj/pEouOaVqUta2HJimAUmSeP/1VrZ+3gNA6Swb\n512+AFUOFLxMx6KKxUVGvOF91+xfuHL3BSdeYahVK8cDTYd1X9DpGDv91E7C7yhTNqJs44u6eaMx\nHt3dT7s30b7VolZyVXUJlebc9w+eKJk619a+spO3NvUC8NWz6/nS4sy6+stU3TIZWbPUyCTdgrE4\nj+zup9UTAKBAp+b62tIJp0MNu4P84tFNDI4m9uTTl5Vz1Rm1aS86lXNM04AgCJx8Rg2RSJxdW/vp\n7XTx2rPbOevS+Shn+FXjoZAkCW8wetjA0+kJMdGPN4IA+RbdF67ZE7meBTY9Zr06405rZI5Opy/I\nw639eKIxAOaY9VxZXYw5h7s45RJrTq9lV5eLPmeAR95ooa7CRkm+3FRCRmY60auUfLW2lBc6B/lk\nyMNQKMrvm7q4tqaU2RP4wO+w6vnONUu597FNdA/5eePzbkLhGDec24BSkbmxzow8Md2LKIr8/bkm\n2nYl/CtrGgs4/YK5KV0HZwqpftoLR/cVGQ0f4to9HJ14kZFJrz7gqn1v0Flg02M3azPOliaTPiFn\nEyqVApvNwEs7e3hhzyDxsZ1kZZGNsyocOd/FKRUyea7tbyE1q8jEd69bjlqVGWs1k3XLVGTNUiMT\ndZMkifcHXLzcNYwEKAWBS2cXssRhmdDjfcEov3x8M+19HiDR0fBrF8xL2/qWr/LTTDwu8vJT2+hq\nS1g0NCwsZtU59Vl7ane4RSWKEi5f+LC5nm5/MkVGigOKir6Y66nPsnzdTNyIsgFRgHU9Tj7qSawd\njULgsjlFLLBnfieh6SLT59orH3fy+JutAJx9/CyuWJ0ZFlKZrlsmImuWGpmsW9Ooj8fa+seLSleX\n2jm91D6heCUYjvE/T21hZ6cLgPlz7PzDpQvSkh4nB6aTQDSa6ArV1+UGYOHyck46vTrrgtNAKMqI\nL0wgKtHePcrgyL5Kd6cnRCw+8V+1zaQ5RGV74j+rSZNTxuiZvBFlKs5QhId399MXSCTWO3Rqrq0p\npTCNbelykUyfa6Ik8cvHNrF9T6J47dtXLmZeBlhIZbpumYisWWpkum69/hBrW/rG06YW2k1cNqcI\n9QSu5iPROL9/dhubdzsBqC238o2vLMKgO7bDJDkwnSQi4RjPP7KZof5E54XlJ1dy3ClzJv11kyEW\nF3F69nl6Dn/BXskfik34uXQa5SEtlfb+v3qClX+5QKZvRJnGTpePx9sGCI25KSywm7hkdiE65cyZ\nM6mSDXNt1Bvmh3/+BF8witWk4cc3HY/ZML0fOLJBt0xD1iw1skE3TyTG2pZeescOBmYZdVxbW4Jp\nAjn9sbjIn9bt4JOmQQAqi8z805pFWI5hjcuB6SQSCkZ59qGNjA4nKuBOPK2axSsqpuS1IZFH4gns\nX2R0oKfniDc84SIjhSCQb9UedM2+9z+jTpV1J8KTRTZsRJmAONaZZP1YZxIBuKyhjONsRuJJnMbP\nZLJlrm1sGeJ/nkpYSC2pdXDHpQumdb/IFt0yCVmz1MgW3SJxkcfb+tnh8gOQp1FxfV0pRXrtUR8r\nihJrX93FO5sTThwl+Qb++col5JmP/thDIQemk4zfF+bZv23E4woB8KWz65i7uDRtzx+OxBlyH1zZ\nPuQKMuQOEolO/L2aDeoDLJUKbHqK7QaqK+2oEJEyd01lFNmyEU0ngVicx9v6aXYnPrQZVUquqSvl\nuNkFsm5JkE1zbe2ru3hrY8JS7/qz6qe1e0w26ZYpyJqlRjbpJkoSr+7nG61VKri6upha69GDREmS\nePzNVl79pAsAh1XHP1+1hEJb8vZ+sl3UJGM0abngykU8+9Am/N4wb7/SjFqjpHZu0YQeL4oSI97Q\nvsDzC0Ho3k4ME0Gt2q/I6BCenocqMjpgUYmZvahksoMef4iHW/sYjSRSRSqMOq6uKSbfkNqna5ns\nYM3qGnZ1jtLnDPDomIVUqUO2kJKRyRQUgsA5FQ4cOjXPdQwSjos82NzLBZUFrCi0HfGxgiBwxWk1\n6LUqnn23nWF3iJ/97XP+ec1iygpMU/QODjM2+cT0MK/rDPDsQxsJBaIIApx16Xzm1DqQJAl/KHZg\n96K9uZ7uEE53iLg4MUkFwGbWjgWeB3t6WozJFxll06e9TEHW7PB8PuTmuY4hYmPbxIpCK+dVOFAp\nFLJuKZBtmnUOJCykYnGJWYUmvnv99FhIZZtumYCsWWpkq26tngAPt/aN5/6fXGTjnArHhGKIv3/a\nxSNvtAAJu8dvrVnE7OKJWVGBfJU/JURjiSKj9j0jbFnfhhgTkQRwWbX0BKMEwxMvMtJrlfudeI7Z\nK40FoPkWXdo3+WxdVNOJrNnBxESRFzqH+HQo4XunEgQunl3I0v1882TdkicbNXvtk04eXZ+wkDrr\n+ArWrK6d8jFko27TjaxZamSzboPBCGtbehkJJ25mG6xG1lQXo52Ad/i7m3t54JWdSFKiOPobX1lI\n/ay8Cb2ufJWfBiRJwu2PHNTFaGgs19PlDbM3WjcC9QgoJQGLK0QfB8bxSoUw1slo3zX7/v6ecpGR\nTLbhCkd5eHcf3f5Exaddq+bqmhJK5av7GckZx1WwtX2E7e0jvPpJF/Pn5DNvzvRbSMnIyBxIoV7D\n1xsr+FtrLx2+EDvdfu7f2c31tSVYNeojPvaURaXotCruf347oUic/358M3dcuoAFVflTNPp95OyJ\naTAcY9h9oKXS0Fh1u9MdIpLEcxZrVZSHRQRAUApUnVDBrFl5OGw67GZdRnWKyuZPe9OFrNk+Wt0B\nHm3rJxBLdPqqtxq4oqoY/SHsw2TdkidbNXP5wvzg/8YspIwafnTz8cdkL5Ms2arbdCJrlhq5oFtM\nFHm6fZBNIwn7S7NayfW1pZQZdUd97JbdTn77zFaiMRGlQuC2C+exvKHwiI+Rr/LHiIsiI55wIvB0\n73fqOWav5E2iyEijUhzk6enYz9NTp1Gxp2WYV57eljjmNqi5+Jol5OUb0vlW00IuLKqpRtYscYvw\nTv8or3U7kUjkP59eZmdVif2wOUqybsmTzZptah3mN09uAWBxjYM7L5s6C6ls1m26kDVLjVzRTZIk\n3uwb4fWxznxqhcCaqmLm5h29sGlX5yi/fnILoUgcQYAbzmnglIWHdyeaUYFpz2iA/l4X/c7AQa00\nne4w4gSHLgB2y4Geno79PD0tBvWENtiWHQO8/nwTAEazlouvWYwlBWuFySRXFtVUMtM1C8XiPNk+\nMO6Hp1cqWFNdTN1RLEdmum6pkO2a/fW1Xby5IWEhdd2ZdZy2tHxKXjfbdZsOZM1SI9d02+z08lT7\nADFJQgDOKndwSrHtqDFPe5+H/35s03jjnqvOqOXLyw/t6z6jckzv+XAnUW+E0GCQ0FCAuP/wRUdG\nneoAT0/Hfqby+RYdqgkk/x6N2rlFRCNx3n6lGb83zAuPbubia5dgNMm5dzLZSX8gzEOtfTjHkuVL\nDVqurinBrj1yPpLMzGTNaTXs6nTRO+zn0fWt1M3Ko0y2kJKRyVgW5ZvJ06r4a0sf/licV7qHGQ5F\nuKiyEOUR0hDnlFi4+5ql/OKxTbh9ER55vYVQOMb5J82e9JuSjD4xvfWlDQf8vxSKYQiKFClUlJu1\nFFoN49fuRt3U/SHd/EkXH6zfDUCew8DF1yxBp8+MP+S59mlvKpipmm12enl6zwDRMXuzpQ4zF1UW\nTqjnMsxc3Y6FXNCsa9DHTx78lFhcoqLQxPemwEIqF3SbamTNUiNXdRsJR1nb3MtgKAJAlVnPNTUl\nh6wf2J/B0QC/eHQTw+5E06Gzj5/F5adVHxCcpvvEVHnPPffck7ZnSzO9fR4kwD/myyWoFMT0Slw6\nAa9OgcmipdCqI1+vmdLK9+IyK0gSvV1uQoEoPR0uahoLUU6Dv98XUSgE9HoNoVAUcYJ+qjOdmaZZ\nXJR4uWuYl7uHESVQCgIXVRZyRlk+ygkGpTDzdEsHuaCZ1ahBq1GxrX0Ejz9CJBpn/iRX7uaCblON\nrFlq5KpuepWSxflmegNhRsJRRiMxdrh81FkNGI4QnBr1apY3FLK1zYkvGKW1x43bH2FhVf543LVX\ns3SR0YHp8koHS/JMHOew4NBpiIsSrkgUCQjFRTp9IT4b9vDZkIeRcBS1QsCqmRp7ptJZNiKROAO9\nHgK+CP09bqobC1GmIWXgWMjVRTWZzCTNPJEYa1t62TrqA8CqUXFDXRlz80xJr5uZpFu6yBXN5pRa\naOv1MOgKsrvXQ3WZhcK8ySsGzRXdphJZs9TIZd1UCgUL8834o3F6AmECMZHNI14qTHryjpC+pdeq\nOK6xkB17RnD7I3T0exkYDbK4xoFCIcyswBQgFIqiEgTKjDqWOCycWGijUK9BAlzhGCIQFkW6/WE2\nOL18POjGGY6gFARsGnXSnZMmiiAIVMzJw++LMDzgw+cJMzTgo7qhYFrto3J5UU0WM0WzPd4gf27u\nYTCUyCettui5sa6MghQ3lJmiWzrJFc0EQWDu7Dw+2NZPJCqyY88oJy0oRqs+8rVgquSKblOJrFlq\n5LpuCkGg3mpAr1TQ6gkQFSU2O73kaVSUHMGrWqtWcnxjEc3dLkY8YXqG/HQN+lha50CtUs68wHT/\nyaFWKCgxaFmUb+akIhsl+oSQrkiUuARRUaI3EGaT08uHgy4GgxEUgE2rQpnmIFUQBGZV5+MeCTAy\nHMAzGmTU6aeq3jFtpvq5vqgmg1zXTJIkPhhw8Xh7P+F44v19qTiPS+cUoVOmHkjkum6TQS5pptOo\nKM038vGOAcLROH3DflbMLZqUvS+XdJsqZM1SYyboJggCs0x6So1adrr8xCSJHS4/Ionc08OtYbVK\nwfENRezp9zLkCtI/EqC1283yhkLMpqN7pE6UrAtM90elECgyaFlgN3NysY1yow6lIOCKxIhJEjFJ\noj8YYcuIjw8GXPQFEh2dbBo1qjSdagqCwOxaB8MDPtyjQUadAXyeMLNr86clOJ0Jiyrd5LJm4bjI\nk+0DvDfgQgK0CgVXVhdzYpHtmG8Tclm3ySLXNCu2G/AForT3eRgYDWIxaphTMvEe2xMl13SbCmTN\nUmMm6Vag01BnM7LT5ScsiuzxBhkORai3GQ97kKdSKjiuoZC+YT99zgDD7hBNHSOcfeKctI0rqwPT\n/VEKAgV6DfPyTJxclEelWYdqLEiNihJxCQZDEbaN+ni/30W3P4QoSdg0qglXIR8OhUJgTp2D/h4P\nXncI56CPcChGRZV9yoPTmbSo0kWuajYcivDn5h7avEEg0a7uloYyZpvT472bq7pNJrmoWcMsGxtb\nh/EGojR1jLK01oHFmN6uULmo22Qja5YaM003s1rFQruZdm8QbzTOQDDCbk+QBpsR7WFqZpQKgWX1\nBTjdIboGfYx6w1x9VkPaxpQzgen+KASBfJ2GxjwTJxfbqDLr0SoVeCIxwqKECAyHouxw+Xl/YJRO\nX4ioKGHVqNCkWLykUCqoqnPQ0zmK3xthsM+LKEmUV+al9HypMtMWVTrIRc12jPp4oKUXTyTh/bvA\nbuL62lIsmvRZF+eibpNNLmqmVCqoK7fx7pY+YnGRlm4XKxeWJOXwcDRyUbfJRtYsNWaiblqlgsX5\nZgaDEYZCUTzRGNtGfNRYDZjUh/6boRAEFtc68AWjtPd55cA0GRSCgF2rpt5m5KQiG3VWAzqlAm80\nRiguIgHOcJSdLj/v9bto8waJxEWsGtVhPy0cDqVKQVVdAV1tIwQDUfq63KhUCkrKrSmPP1lm4qI6\nVnJJM1GSeK3byQudQ8QlCYUA51Y4OKfCgSqNgQLklm5TRa5qZjFq0GmVbGsbwROIEorEWZBGC6lc\n1W0ykTVLjZmqm1IhMN9uIiZKdPhChOIim5xeSg1a8nWHvgERBIEFVfmU5Bupm21P31hyPTDdH0EQ\nsGrU1FoTQWqjzYhRpcQXixMYM9J1RWI0uwO8N+CixR0gGBexqFVHNaHdi0qtZE59AXtahgmHYnTv\nGUVvUFM4CXlXh2KmLqpjIVc080VjPNTax0anFwCzWsn1tWUszDfLBSkZQi5rVlViob3Py+BokLZe\nD1WlForSZCGVy7pNFrJmqTGTdRMEgRqrAYtGRbPbT0yU2OL0YlArKTceurhJEARml1hmdlV+uhAE\nAYtGRbXFwAmFVhbYTZhUSoKxOL5YHAB3NEarJ8AHAy6aXH4CsThGlRLjUSxR1Bols2sdtDUPEQnH\n6dw9gsWmw1FoSvv7+CIzeVGlSi5o1uUL8efmHvoCia4elSYdN9WXU3wE+49jJRd0m2pyWbOEhZSd\nD7f1Ed5rITW/GK3m2C2kclm3yULWLDVk3aDMqGOWSU+Ty09UktjlDhCKi9RYDIc85JiRPqaTPTkE\nQcCkVlFlMbCi0MbifDNWjYpQXMQTTQSp3mic3d4gHw262TrqwxeNo1cpMamUh/xFaXUqKqvz2b1z\nkFhUZE/LMPYCI3mT3FdaXlTJk82aSZLEp0MeHtndT3CsQ9pJRTbWVBVP+JQ/VbJZt+ki1zXTaZSU\nOox8NGYh1etMj4VUrus2GciapYasWwK7Vk2jzUTz2M1xlz9Erz9Mg814kKuRHJhOAQaVkkqznuMK\nrCxzWLBpVERFEfdYIYk/FqfdG+STITebnV48kRhapQKL+sAgVadXUzHHTmvTILGYSHvLMEWlFqx5\n6amKPhTyokqebNUsKoo82zHEm30jSIBaIXD5nGJOLcmbtMYS+5Otuk0nM0GzIrthrCAiYSFlNmio\nKj22VKaZoFu6kTVLDVm3fRjVShbZzXT6grgjMYbDUZpdfuqtRnT7HXzIgekUo1MpmWXSs6zAyvGF\nVvK1auKShCscQwKCcZGOsdaonw97cEViqBWK8daoBqOG0lk2WpsGicdE2nYNUVphxWxNnxnt/siL\nKnmyUbORcJQHmntpdgcAyNequam+jBrr5LWF/CLZqNt0M1M0a6y0sbFln4XUkrpjs5CaKbqlE1mz\n1JB1OxDNWMX+aCRGfzCCLxZny4iXKrN+3OVFDkynEa1SQflYa9QTimwU6DVIEoxGEkFqeOy4e8Ow\nh08G3TjDUZQClOWbKCmz0LpzKBGcNg9RMceO0ZT+/D95USVPtmnW7Pbzl109jI6d4DfajNxQV4rt\nCL2OJ4Ns0y0TmCmaKRUK6ir2WUg1d7s45RgspGaKbulE1iw1ZN0ORiEIzLUZUQgknItEiU1OL4V6\nDYV6jRyYZgpqhYLS8daoVor3a40qShARJXrGWqN+NOgipFNQWWVnuHWEeDRxclpZk4/eIBtRTzfZ\nopkoSbzZN8IzewaJShICcFZ5PufPKkCdov/usZAtumUSM0kzi1GDQadia5sTbyBKKBxnQXVqFlIz\nSbd0IWuWGrJuh0YQBOaYDRToNONtTLeN+FArBGZb9GkNTNPntj2D0SmVLMo3syjfTCQu0uwOsH3U\nx063n3BcJBgX2TCcsPBRrypF3R9APxjk+cc3c+nVS7DYJi/nVCY3CMbiPN7Wz66xq3uDSsmVVcVT\nenUvI5Msq5eWsbXNyZbdTl7/vJv5VXYWVjume1gyMjIpsjDfjE2r4q8tffhjcV7pduKMxPiaPX2u\nQ1N/zJLjaJQK5ttNrKku5ruL53B9bSnLHBb0YydaUSBQbMC5MJ+Wpfn89pPdfNw9Qigen96By2Qs\nfYEwv93RNR6Ulhu13DG3Qg5KZTIeQRC46dzG8fzSP7/YhNsfmeZRycjIHAuzTHq+PreCwjHj/U8H\n3Wl9fjkwnURUCgUNNiOXzSniX5dUcVN9GSsKrJjHfFAlpQJvnpbn+pz8+8Y2Hmzu4bMhN4GYHKTK\nJNg47OEPTV2MhKMAHFdg4daG8inPJ5WRSRWLUcPN5zUC4AlE+fOLTUiSfEUqI5PN2LVqbm8sp9aS\n/gMS+Sp/ilAKAjUWAzUWAxdIBXT6Qqzf3kt7JEJcryIuwS53gF3uAM/uGWSORc+8PBPz8kyYD9Or\nViZ3iYkSL3YN8fHYJ1GVIHBRZQHLCqauva2MTLpYUJXPGcvLef2zbra2Ja71v7y8YrqHJSMjcwzo\nVEquryvlw0FXWp9XjnimAYUgMNus58YVVXz41m4+/WSAQKGeSKmRsEaBCOz2BNntCfJCxxCzTDrm\njwWp8klZ7uOORHm4tZ8ufwgAm0bFNTUllB2mJZyMTDZw+apqdna46B7y8cSbu2mclUf5FHTDk5GR\nmTyUgsCqstSKGg9H0lf5PT093HbbbaxYsYLVq1fzi1/84qiPGRgYYOnSpdx3330pDTJXEQSBE1dV\ns7imANtuDwXv9rGwK8hpxXkUjVW4SUCHL8SLXcP855Y9/HZ7J2/3jTAckvO0cpE2T4D7tneNB6W1\nFgN3zJslB6UyWY9apeS2C+eiVimIxUX+9/ntRKJy2pKMjMyBJH1ieuedd7JgwQLWr1+P0+nk1ltv\nxeFwcMMNNxz2Mf/2b/+GSiUfzh4KQRA49cxaopEYLdsHGW0ewSYpuPOSuYxEYmwb8bF91EdPIAxA\nTyBMTyDMq91OivWa8ev+Ir3mmNv+yUwfkiTxXr+LV7uHEce+dlqpndNL7VPSxUlGZiooKzBxxWk1\nPPT3ZnqG/Tzx5m6uObNuuoclIyOTQSQVLW7dupXm5mbWrl2L0WjEaDRy4403snbt2sMGpm+//TZt\nbW2sWrUqDcPNTQRB4LRzG4hG4uxpcdLeMsybL+5i9fkNrCq1s6rUzmg4yvbRRJDa6QshAf3BCP3B\nEd7oHcGhUzMvz8QihwWbTa7WzibCcZEn2wfYPuoDQKdUcEVVEQ02+ZpTJvdYvbSMbW1ONu928saG\nhIXUohrZQkpGRiZBUlf5O3bsoKysDJNp3x/MuXPn0t7ejt/vP+jnw+EwP/nJT/jhD3+IUqk86Psy\n+1AqFXz5ormUz84DoHn7AO++1jJevZqnVbOyOI/bGiu4a9EcLqwsoMqsZ+9Z2nAoytt9o/xmawff\neWs7L+wZpMMbRJSrXzOawWCE3+3oHA9Ki/Ua/mFuhRyUyuQsgiBw43mNWPdaSL3UhNsXnuZRycjI\nZApJnZi6XC4sFssBX7PZbOPfMxqNB3zvvvvuY+nSpRx//PE888wzKQ1QOQ0dbaYLlUrB+Vcs5LmH\nN9HX7Wb7xl60OhUnra4+4JrertKw0mBnZakdfzTG9hEfW0d8tLr9xCVwBiO8G4zwbt8oZrWS+XYz\nC/JNzLEYUMrXwgexd45N9Vzb4vTyeGsfkbHuIksdFi6tKkKTJXN+unTLZmTNEtgtOr524Tz+65GN\neANR/vLyTr515eLDpq3IuiWPrFlqyLolT7q1OubEz70nel/Mb2xtbeWpp55i3bp1x/T8FsvM64p0\n3e0nsvZ3H9Df62HDh51YbQZOOaP2kD+bB5QXWjkLCERjbBl0s6HfxbYhD1FRwhuN8+GAiw8HXJg0\nKhYXWllabKPRYUaVYt/qXGWq5lpclHh6Vw+vtQ8CiarGNXPLWTXLkZV5wjNxjR4rsmZw6nIjzT0e\nnntnN1t2O3lv2wAXnVp9xMfIuiWPrFlqyLpNH0kFpna7ndHR0QO+5na7EQSBvLy8A77+ox/9iDvu\nuAO73X5MA/R4gsTj4tF/MMc4f81Cnlq7gVFngDdf3klcjLPouKP7/s01GzihLJ+hUT87nF62Or00\njfqIiBK+SIz3up281+1Ep1QwN8/EfLuJeptxWnqtZwpKpQKLRT8lc80bifFQSy9tniAAFrWK6+pL\nqTTrcbkCk/ra6WYqdcsVZM0O5MKTKtm4a4DOAR8PrNvO7EIjs4rMB/2crFvyyJqlhqxb8uzVLF0k\nFZjOnz+f3t5eXC7X+BX+li1bqK6uRq/fN6je3l4+++wzWltb+c1vfgNAIBBAoVCwfv16nn766Qm/\nZjwuEovNvMmh1qo4f81Cnn1oE153iHdebUGpVNCwsGRCj1cBc61G5lqNREWRVk+A7SM+mlx+gnGR\nUFxkw7CHDcMe1AqBequReXkmGmxGtDM0SJ3sudbpC/Jwax+eMYucOWY9V1YXY1arsnqOz9Q1eizI\nmiUQgFsvmMePH/iUaEzkd89s4wdfXY5GfeiaBFm35JE1Sw1Zt+kjqcC0sbGRhQsXcu+993LXXXcx\nMDDAAw88wM033wzA2WefzU9/+lOWLFnCW2+9dcBjf/azn1FSUsItt9yStsHnOiaLjguuXMSzD20k\n4Ivw1su7UGuUVDcUJvU8aoWCRpuJRpuJuCjR5g2wbdTHjlE//licqCixbdTHtlEfKkGgxmpgfp6J\nRpsRvUouWjtWJEnio0E3L3UNER+rRTul2MaZ5Q4551dmxlPmMHLl6hr++lozvcN+HnuzlevOrJ/u\nYcnIyEwTSeeY/vrXv+b73/8+K1euxGQycdVVV3HVVVcB0NHRQSAQQBAEioqKDnicXq/HaDSSn5/e\nDgG5jjVPzwVrFvHcwxsJBWO8/nwTKrWSyurUdFQqBGqtRmqtRi6qlOjwhdg24mPHqA+o9lfrAAAg\nAElEQVR3NEZMktjp8rPT5UchQLXZwNw8E3PzjHJr1BSIxEWe7Rhkk9MLgEYhcNmcIhbYD76ulJGZ\nqaxaUsbWthE2tQ7z5oYeFszJZ3GtbCElIzMTESQps/2ERkf98nE6MNTv5bmHNxGNxFGOVe+XzrId\n9HMqlYK8PGPSuomSRI8/zLYxr9SRcPSA7wtApVk/1hrViFWTO61RU9XsaDhDER5q7aM/mOjSVaBT\nc01NKYVjXb2yncnSLZeRNTs8nkCEH/7fJ7j9EUx6NT+++XhsJi0g65YKsmapIeuWPHs1SxfKe+65\n5560PdskEApFEcWMjp2nBKNJS3G5ld1Ng8RjIm27hiifnYfRrD3g5xQKAb1ek7RugiBg1aiotRo4\nsdDK3DwTRpUSfyxOIJbIiXRFYjS7A7w/4KLZHSAYEzGrVVl/3Z+qZkeiyeXjgeZeXJEYAPPzTHy1\nrgyrJndOnSdDt1xH1uzwaNVKKgpNfLi9n0hMpHvIzwnzihAEQdYtBWTNUkPWLXn2apYu5MA0izBb\ndRQUmw8ITmdV2zEY902IdCwqQRAwq1VUWwycWGRjgd2MWa0iFBfxjhXueKIxWj0BPhh0scOVyFU1\nqpQYD1O0kMmkcyMSJYnXe0Z4rmOImCShAM6ucHBehSPn7LnkDTx5ZM2OTGGenlAkxu4eD0OuIAat\niuoyq6xbCsiapYasW/LIgekMx5qnx+4w0rZriFhMpL15mDl1+ej0iav1yVhURrWSOWY9xxdaWZJv\nwapREY6LeKKJ00BfNE6bN8hHg262jHjxRmPolQpMamVW+HKmS7NALM5DrX187vQAYFQpub62lMX5\nlqzQIVnkDTx5ZM2OTn1FHltah3H7I+zsHGVRjYM8i07WLUnkuZYasm7JIwemMuQ5jJitOtpbholG\n4+xpGaaqvgCNVjXpi0qvUlJp1nNcgZXlBRbytGqiooR77Mo6EBPZ4wvxyZCHTU4v7kgUrVKBWa3K\n2OAsHZr1+EP8364eegOJ1oqzjDpubiinxKA9yiOzF3kDTx5Zs6OjVAjUz7Lx3pY+onGJXV0uTl1c\nismolXVLAnmupYasW/LIgakMAI4iE3q9ms62ESLhOB27nVQ3FKLVqaZsUemUSipMOpY5LKwotOLQ\naYiLEq5IFAkIxkU6fSE+G/bw2ZCH0XAUtSKRy5pJQeqxbkSfDbl5uLWfwJgZ8wmFVtZUl2DI8tzb\noyFv4MkjazYxzAYNJr2azbud+IJR/MEoJy4slXVLAnmupYasW/LIganMOIWlFpRKgZ4OF+FgjO49\nI9TOLcJs1k25bhqlgjKjjiUOCycW2ijUa5AAVziGCIRFkW5/mA1OLx8PunGGIygFAZtGfdj+2FNF\nqhtRVBR5vmOQN3pHEAG1QuCy2UWsKrVP+3uaCuQNPHlkzSZOZbGZrkEf/SMB2vu8VJVZcVi0sm4T\nRJ5rqSHrljxyYCpzACUVNuJxkf5uN0F/lN5OFwuWlhONxqdNN7VCQYlBy6J8MycV2SjRJ66zXZEo\ncQmiokRvIMwmp5cPB10MBiMoAJtWNS2G86lsRK5wlAeae9npTrQRtWvV3FRfRq01fZYZmY68gSeP\nrNnEEQSBubPz+HB7P+FInE3NQ5w0vxhtFhZYTgfyXEsNWbfkkQNTmYMoq7QRCkYZ7PPi84bp7nBR\n3eAg4T46vagUAkUGLQvsZk4utlFu1KEUBFyRhJl/TJLoD0bYMuLjgwEXfcFEjqZNo0almJrxJ7sR\ntboD/Lm5h5FwIq+2wWrkhrpS8rS54+06EeQNPHlkzZJj3EJqWz+RaJyuQd+4hZTMkZHnWmrIuiWP\nHJjKHIQgCMyqsuNxh3AO+nGNBHAO+JlT70AxRcHdRFAKAgV6DfPyTJxclEelWYdqLEiNihJxCQaD\nEbaN+ni/30W3P4QoSdg0KtSTaLU00Y1IlCTe7hvlqT0DREUJATijLJ8LKwvQKHPLCmoiyBt48sia\nJU+hTU8kJtLa7WbIFUSnUVFTbp3uYWU88lxLDVm35El3YJo7bt8zHEEQOO3ceuIxkd07h2hvGWb9\nizs5/fzGjApO96JSCNRZjdRZjVwkSezxBtk+1nXKG40TkySaXH6aXH6UAlRbDMzLM9FoM2Kahtao\noVicJ9oHaHL5AdArFaypLqZuBl3dy/z/7L13eBznnef5qarOuZEBgiDBnCmKlERSkhUpWVYcezyy\nJc+uPcE7t3tzz87dbB7PeGd3dubumbm9vd3zsxOd5HGQ7ZEVh0q2ZIlUZBRFMYJgQEbn3BXuj250\nAEAQ3WygG8D7ecSnG1XV1W//9Fb1t3/vLwjqxefvWs2pSyHOXwnzkzfOsXGFnxUdoq2vQLAYES1J\nFxkSsP8fTnDu1CgAG7d3csen1y2YpS/dMLgUSxVEajBfhmoCCeh129nsd7HZ78JTg05K12pBN5RI\n872zg4zn27R2Oaw8saaTpiW2dD8Z0bqvcoTNqsNkkolldP7l//0LMqpOZ7ODP/zyTSLedAbEXKsO\nYbfKES1JBTNiMsnsuLmH86dHiUbSjA3HyGY0unv9C0KcSpKEz2pmrdfJ3nYfG31OnCaFmKqRyN8k\ngvnWqG8NhzgTSZDUdDzX0Rp1pqWbo+NRvnt2gFi+LevOFg9Prumsi9e20RBLXpUjbFYdsizR3uLC\nLEscOTNWKCG1fU1LvYfWsIi5Vh3CbpUjYkwFMyLLEk6Xja4VPi6eHycRyzA8EEGSJLp6fPUeXkVI\nkoTHkmuNurvNy9YmFy6TQlLVCkIxnMm3Rh0OcTIUJ1FFa9TpbkSabvDCxTH+8fIYupGLj31sZRv3\ndDWhLLLWotUibuCVI2xWHRN2a/dZuTgcY3A8wYWhKMvbXHQ2i3Ca6RBzrTqE3SpHxJgKZoXVZuLB\nX9vGz/7+CMGxBO+/dQGzRWH7zcvrPbSqkCSJdruV9mVW7lnWzHgqlyR1IhjjcjyXyT+QSDOQSPPy\nlXHa7Ba25Jf7O+yWirzFkYzK988N0h9LAeC1mHhydSfdLtucfDaBQDA7JEniyw9soG8wQjCa5psv\nnqS304PfvXg7rAkESw3hMV1klP7aUxSZ3rUt9J0ZI51SudQXxOm20LoIkgYcJoWV+daoO1s8+Cwm\nsrpeaI0aVzX6okneGw1zdDxKJKNiVWQ8ZmWKSC212blwgm+evsJIKhdPusZj5zfWddNSw1+DiwXh\nWagcYbPqKLWbSZHpmSghpepcGomxZ0vHgghVmk/EXKsOYbfKEUv5ghmZfFFZrCZWrmnm/KlRshmN\n/rPj+JsdNLUunuUvm0mhx2VnZ6uXm9u8NFvNaIZBKK0WWqP251ujfjgWIZRRMctyoTWqLEvYbGZe\n6Rvmh2eHSOfn2x2dfj7X2451CZaCmg3iBl45wmbVMdlurT47mazG2SthxsIprBaFtd0LK1RprhFz\nrTqE3SpHLOULKsbjs/PwF7bzzFNHSCWzvPbcSUxmmZWLMHHAbTZxS5uPW9p8JFSNk8EYHwVjnI0k\n0QyDcEblwHCIA8MhXCaFTX4XW1vcHLswwvuDQQCsiszne9vZ5HfV+dMIBIKr8SufWsXH/UH6h6L8\n9I3zbFrRJEpICQSLAOEKWiL4m5089Pg2LFYFXTd4+R9OcKU/WO9hzSkOk8LOVi//dN0y/sOOXh5f\n1cFmfy6zFyCmarw3GuZvT14uiNI2u4V/sWm5EKUCQYNjUmS++vAmLGYZTTf4n8+eIJ3R6j0sgUBw\nnQhhuoRo7XDz4Oe3YTLLaJrBiz8+ztCVcL2HNS/YFIXtzW6eXNPJf7hhFU+s7mR7kxtrSYb9Dc1u\n/vnG5bTYRDypQLAQ6Gx28sS96wAYDiT4/mtn6jwigUBwvYil/CVGR7eXBz63hReePo6a1XnhR8d5\n7MkbaG5bOh5CiyKzpcnFliYXqq7TH0/jdFlZZlLQNBFTJBAsJG7f1snxc+N8eHqUN48OsHVVMzvX\nt9Z7WAKBoEqEx3QJ0r2yifse3YwkQSat8twPjhIKJOo9rLpgkmXW+51sbfOKrF6BYAEiSRL/9IEN\nhZJR33rpJMFous6jEggE1SKE6RKld10Ldz+0EYBkIstzPzhKNJyq86gEAoGgclx2M7/10CYkIJ5S\n+ZvnP0Zv7G7bAoHgKghhuoRZt7mdT92fi8+KRdI894OjJGLC0yAQCBYeG1f4eWD3CgBO9gfZ/+7F\nOo9IIBBUgxCmS5zNO7rYc9cqAMLBJM/98BipZLbOoxIIBILKeez2XlbmS0b99M3z9A1G6jwigUBQ\nKUKYCrjhlh527s15GgKjcV740TEyabXOoxIIBILKMCky/+yRzVjNCppu8FfPniCVEfcygWAhIYSp\nAICbbl/J1l3LABgZjPLSj4+jZkVNQIFAsLBob3LwxL1rARgOJvn+q6KElECwkBDCVADkMltvvWcN\nG7Z1ADBwKcz+Z06gaXqdRyYQCASVcdu2TnblS0b98tggH3wyUucRCQSC2SKEqaCAJEnc8en1rN6Q\nu6FfPBfgtedOin7BAoFgQTG5hNS3//ETAhFRdUQgWAgIYSooQ5Yl7nl4Iz2rmwA498kob7x0CkOU\nXhEIBAsIp83MVx+eVEJK/MgWCBoeIUwFU1AUmfsf20zXci8Anxwf4u1XzwpxKhAIFhTre/x8Zk8u\nsfOTiyFeere/ziMSCATXQghTwbSYzAoP/OpW2jpzpVeOf3iF9395ob6DEggEggp59LZeevP3sWd+\n2SdKSAkEDY4QpoKrYrGaePDXttHU6gTgwwP9HBZFqwUCwQLCpMh8VZSQEggWDEKYCmbEZjfz8OPb\n8PrtALzz8/OcODxQ51EJBALB7Gn3O3hyX67L3XAwyd+LElICQcMihKngmjhcVh7+wnZcnlyG65v7\nT3P6xHCdRyUQNBaGYWDoKpqaQE0HySSHSccukYycIxE6SWz8KOHhdwkMHcXQhcduvrl1awc3bWgD\n4K1jg7wvSkgJBA2Jqd4DECwM3F4bD39hO888dZhkIsvrz5/EbFboXddS76EJBFWRE5IZdD2DoWUw\n9DS6linblntM5x71THG/lp7muAxw7bq/4xdBMbtwtdyMu2UXssk29x9WgCRJ/JNPr+fcQJhAJM23\nX/qEVZ0emr3C/gJBIyEZDZ5qHQzGUVVR5H22mEwyfr9zzuw2PhLjme8dIZNWkRWJBz+/le6VTTV/\nn/lkrm22WJlvuxm6hq6npxGI2YJQLNtXKionxGOJqDT07JyP+VpIsgVXy424W3djsnjqPZyGpZZz\n7dTFIP/X9w9jGLBuuY9//cUdyLJUo5E2DuK+Vh3CbpUzYbOana9mZxIsCZrbXDz0+Dae/f4R1KzO\nSz/5iIcf305Ht7feQxM0EDlvZPbq3sXS7Vq5oCzzXBZEZhqM+nxJSLIVWbEgyRZk2YI08Vyxlm0r\nPlqLf8uW/GutyLIFs8WKol/h8tnXSEX7MfQM0ZF3iI68h7NpC+62PVjs7XX5nEuF9T1+HtyzgucP\n9HP6UogX3+nnob0r6z0sgUCQRwhTQcW0d3n4zK9u5YUfHUPN6rzw9DEe+eINtHa46z00QZUYhj7J\nuzi9aNT1dEFcYmQZlzXS6QSamheVJcvedUFS8gLRWi4YywSiGWlCVE4SnGWiUrEiSSYkqXbeNEmW\n8TZvRDf1EA9fIjJygGToJKATDxwjHjiGzbMGT9terK4VNX1vQZFHbu3l4wtBzg9E+NlbfWxa2cSq\nLuGxFggaAbGUv8iYz2WIC2fH2P/TE+i6gc1u5rEnb8DfUjt3/nyx0JZuDMPAMNSigCzxQk63bca4\nyPx2DK0un0UqE42lQtE6yQtpmZ3nUlbq8jlmy3RzLZsOEB15h/j4EQyjmBRlcXThaduL3bcBSVra\neapzcY2OBBP80TffJ53RaPPZ+aOv3ITdunh8NQvtvtYoCLtVTq2X8oUwXWTM90V19uQIr/zsYwCc\nbguPPbkDj88+5+9bS+baZoahzypxZkJQlu8rj6GcOAfU47KVi15HJSciLVY7mm4CyZwXiOZJS9xF\nD+Vkz6Ukm5ecR3CmuaZl40TH3iM2+gG6liy+xuLH3bYHZ/N2ZNk830NuCObqGn37+CB/+8JJIJe1\n/5sPbqrZueuNEFjVIexWOSLGVNBQrNnYRjaj8YuXThGPZnjuB0d57MkdON3Weg+tKgzDAEObRjxO\nLxCnFZWTlr1LvWDziSSbZxSI5cvc1mt7LuXy24W4gdcWxezE13kXnrZbiQeOEBk5iJYJo2aCBC+/\nSHjoF7hbbsLVehOKyVHv4S4K9m7p4Pj5cd47OcLbx4fYuqqZmzeKGF+BoJ4IYSq4bjZu7ySTUTnw\n2jkioRTP/fAojz5xA3aHpd5DuyqGYaCmx0lGzpCOnuVSOoCm5pJuZlPyp/ZIxRjHKQLROk2CTd7r\nqJinSbaZ8EYu7eXfhYqsWHC33oyrZReJ0MdEhg+QTQ6hqwnCQ28QGTmAs3kHntZbMFn99R7ugkaS\nJP7J/es5dyXMeCTNt//xFKu7vKKElEBQR8RS/iKjnl6sD966wPtvXQCgtcPFw1+4AautcX77GLpK\nKtZPMnKGVPgMaiZY9bkkyVSMcbyqQJwpe7vcc1nrJJv5QHhMK6camxmGQTraR2TkAKno+ZI9Eg7f\nJjzte7E4OudmwA3CXM+105dC/J9/fyhXQqrby79+4sYFX0JKXJ/VIexWOWIpX9Cw7Lx1BZmMytH3\nLjM6FOPFHx/noce3YTbXLyFFzURIRc7mxGj0/LS1Ky2OTnwtq8moCmCeledSeCMF84UkSdg8q7B5\nVpFJDBEZOUAieAIwSIROkAidwOrqxdO+F5t71YL7gdMIrFvu46E9K3nuwAVOXw7zwsELPHxrb72H\nJRAsSYQwFdQMSZLYc9dqMmmNk0cHGbocZv9PP+KBz21FMc2PkDMMnUz8CsnIGZKRM2STU1unSrIF\nm3sVdu9a7J41WO1e8QtZsCCwODpoWflZ1K67iY68S2z8EIaeJR3rYzTWh9nejqdtLw7/JiSpsSsU\nNBqP3LaSjy8EODcQ4WdvXWDTyiZWLxP1mQWC+UYs5S8yGmEZQtcNXnv+JGc/zvWi7l3Xwn2PbUKW\n50acamqSVORczisaOVuW0TyBydqM3bMWu3ctVmdPWVmhRrDZQkTYrXJqbTNNTRIb+4Do6Hvoaryw\nXTF7cbftxtW8A1lp3Fjv2TJfc20klOTrf/ceqYxGq8/G179y84ItISWuz+oQdqscsZQvaHhkWeLu\nBzeQzWj0nx2n7/QYP3/xFHc/uKEmy4yGYZBNjZAMnyEVOUM6fpkp5ZMkBZtrBXbPWmzetZitC7tt\nqkAwHYrJjrfjdtxtu4kHjhEdOYiaDqBlw4Su7Ccy9Aaull24W29GMbvqPdyGp81n50v3reNvnj/J\naCjF9145zW89tHhKSAkECwEhTAVzgqLI3PfYJl58+jhX+kOc/mgYi0Xhtn1rqxKnup4lFT1PKpyL\nF9WykanvaXZj86zNiVF376LwFAkEs0GWzbhbduJq3kEyfIrI8AEyiSvoWorI8FtERg7iatqOu20P\nZltzvYfb0OzZ3MHx8wHe/XiYAx/lSkjdskmUkBII5gshTAVzhsmk8MDntvDcD44xPBDho0MDmK0m\ndt+xalavV9PBXKxo+Ayp2IVpuhNJWJzLckv0nrWY7e0i8UOwpJEkGYdvI3bvBtLxi0SGD5CKnAFD\nIzZ+iNj4IezeDXja92J1dtd7uA2JJEn8+n3rOXs5zHgkxXf2n2L1Mg8t3oXVOEQgWKgIYSqYU8wW\nEw/+2lZ+9vdHGB+Jc/jgRSwWhRv3rJhyrGFopGOXColLampsyjGyYsPmWZPzinpWi0LjAsE0SJKE\nzbUCm2sF2eQokZGDxIPHwNBJhj8hGf4Eq7MHd/se7J514gfdJBw2E199ZBN/9r1DJNMqf/3cx/zr\nJ3agzFGcvEAgKCKEqWDOsdrMPPT4dn72vcOEAknefaMPi8XElp3L0LIxkpFzpCJnSEbPYWjpKa83\n29qwe9di86zF6uwWpZoEggow21tpXvEI3s47iY6+S2zsEIaeJh2/SPr8RUy2Fjxte3H6t0zp7rWU\nWdvt4+G9K3n27QucuRzmhYP9PCJKSAkEc464CwnmBYfTwsNf2M4zTx1CZpyh86/ilBMojE45VpJM\nWN29+XJOazFZRMkWgeB6MVk8+Jftw9txO7GxQ0RH30XLRlFTYwQuPkt44HXcbbfgatmJrIjORwAP\n37qSExcCnLsS4dl8Cak1ooSUQDCnCGEqmHN0LU0qep50+Ax33HYGQ4tPOUax+PKxomuwulciy+Y6\njFQgWPzIig1P+17crbcQDx4nOnKQbGoUTY0RGniN8NAvcbXsxN16CyaLp97DrSuKLPPVhzfz9W++\nRzKt8VfPnuA//sbCLSElECwExNUlqDmlfeiT4TOk4xfBKK8Hp+sSwZCH0bFmNty4m641q0Wcm0Aw\nj0iygqv5BpxN20lFzhAZOUA6dhFDzxAdOUh09F2c/q242/ZgsbfVe7h1o9Vn50v3reevn/uYsXCK\np14+xW8/vLnewxIIFi1CmApqQq4P/QWSkbNX7UMvm5zY84lL0UQrr77xSa7W6aUBHny8ha7lvjqM\nXCBY2kiShN27Drt3Hen4ZSIjB0mGToKhEw8cJR44is2zNp/J37Mkf0DmSkiN886JYQ6eGGbrqmZ2\nb+6o97AEgkWJEKaCqsn1oT+T70PfN30fensntnysqMXRVfhSc/jhM79q5vkfHUNVdV58+jiPfHE7\nbZ1Le+lQIKgnVmc3rb2fJ5saJzryDrHAETA0UpFcMwuLowtP+63YveuXXBLil/blSkiNhVN89+VT\nrF7mpdUnSkgJBLVGtCRdZMxlO7VZ96H3rC7Ei16r28zF8+O89OOP0HUDm93Eo0/soKm1dq3NZoNo\nQVcdwm6Vs9BspmVjREffJzb2PrqWKmw3WZtwt+3G2bR9XuLBG8VuZy+H+bPvHUI3DNYs8/Jvnmzc\nElKNYrOFhrBb5dS6Jany9a9//es1O9sckEpl0fWG1s4NhSxL2O2WmtlNU5MkQ6eIDL9N8NILxMbe\nJx2/WNaX22Rtxtm0HV/XXTR1fwZn0xYsjo5ZdV7y+h34mx2cPzWKmtXpOzNG79oWbPb5S36qtc2W\nCsJulbPQbCYrFmzuXlwtN6GYnGRTYxh6Gl1LkoqcITZ+CMNQMdva5lSgNordmjw2DODUxRCBaBpZ\nktjQ46/beGaiUWy20BB2q5wJm9UKsZQvKKMefehXb2gjm9H4+YunSMQyPPeDozz25A24PKJkjUDQ\nCMiKJVdKqnUXieDHREYOkk0OoasJwoO/IDL8Ns7mHXhad2OyLu5Y8Yf2ruDEhQBnL4d59u0+Nq9s\nYk23KCElENQKsZS/yKhmGULXMqRifdfsQz8hRG2uuelDf/yDy7z16lkAfM0OHn3iBhzOue93L5Zu\nqkPYrXIWi80MwyAVPU905ACpaF/JHgmHfzOetj1YHJ01e79Gs9tYKMkf5UtItXhtfP0rN+OwNZaf\np9FstlAQdqucWi/lV3wlXblyhT/+4z/myJEjOJ1OPvOZz/D7v//70x77P/7H/+CnP/0poVCIZcuW\n8Vu/9Vs8+uij1z1owfXTiH3ot+7qJpPReO/NPkLjCV744TEeeWI7VpuoaSoQNBKSJGH3rMbuWU0m\nMUhk5CCJ4AnAIBH8iETwI2zuVbjb9mBzr1p0mfwtPju/ft96/mqihNQrp/iqKCElENSEioXp7/7u\n77J161Zef/11xsfH+e3f/m1aWlr48pe/XHbct7/9bZ599lm++c1v0tPTw8svv8zv/d7vsX79ejZs\n2FCr8QtmSa4P/cW8GD2Lmm7MPvQ37ukhm1E5/M4lxkZivPD0cR5+fBtmS2N5IwQCQQ6Lo5OWlZ9F\n7bybyOg7xMcPY+hZUtHzpKLnMds78LTtxeHftKgy+Xdv7uD4+QAHTwzxTr6E1B5RQkoguG4q+rY/\nfvw4p0+f5jvf+Q5OpxOn08lXvvIVvvOd70wRphs3buTP//zPWbFiBQD3338/brebs2fPCmE6T+T6\n0OeW51OR8xj6dH3o27F71zRMH3pJkrjljlVk0honDg8wfCXCSz/5iM98fismk1LXsQkEgqtjsvpo\n6v403o5PERv7gOjoe+hqgmxyiPH+nxIafA1P626czTvmJBSoHnzpvnWcvRJiNJTiu/tzJaTaRAkp\ngeC6qEiYfvzxxyxbtgyXq1gCaNOmTfT19RGPx3E6izEGN998c+F5Op3m6aefRlEU9uzZU4NhC6bD\nMAzS8SsMBC4QGDpBOj4w5RhJNmNz9eZri65pyD70kiRx+31ryWY0Tp8Y5kp/iFd+9jH3PbYZRVk8\nHheBYDGimBx4Oz6Fu20P8cBRosMHUTNBtEyY4JX9hIfexNWyC3frzSjm+S0NV2vsVhNffXgzf/rU\nIVIZjb9+7gT/9skbG7aElECwEKhImIZCITye8gLoPp+vsK9UmE7wta99jR//+McsW7aMb3zjGzQ3\nN1c0QCFEZkbXUiTC50mET5MMnUFTp/ahN1l9OLzrcPjWYltAfej3PboRVdU5f2qUC2fG+cWLp7jv\nsU01j1ebmGNirlWGsFvlLC2bWbF03IyvfRfx4CeEh94iHR9A15JEhn9JdOQgrpYb8HXswWyb+Xuh\nke22foWfxz7Vy0/fOM+5KxFeONjPZ+9YXe9hNbTNGhlht8qpta0qysr/y7/8S1599VWefvrpwrb+\n/n4+/elP89prr9HV1TXt6zKZDM8//zx/9md/xne+8x2xlH8dGIZBOjFKePQk4dGTREN9U/rQI8m4\nfL14WzfgbdmIzdm2YJMPVFXjB3/7HudP52Jid+5ZwWc+t3XBfh6BYKliGAax4HmGL7xBeOxkyR4J\nX9sWOlbeidPXU7fxXQ+abvDvv/EWH/cFkCX4L//8NjavqswJIxAIclQkTJ9++iHgTTUAACAASURB\nVOmCOJ3g2LFjfOELX+DDDz/Ebp85tuY3f/M36e3t5Q/+4A9mPcBIJImmLe2SDbqeJRXtJxE6TSJ8\nBjU9tQ+9YnJi963F5V9HR/cW4kkWjd2yGY2f/f0RBi+HAdixu4db71ldM3GqKDIej13MtQoRdqsc\nYbMcmcQwoaEDxALHy35Y29wr8HXcit27pizefSHYbSyU5A/++l0SaZUWr43/9Nu34KxjRZGFYLNG\nRNitciZsVisqWsrfsmULAwMDhEKhwhL+sWPHWL169RRR+ju/8zvcfvvtPPnkk4VtsixjMlWWXa1p\n+pKsJTarPvSOrkIW/UQfepNJRjHb0WKLpwabJEs88Ktbefb7RxgbjnH4nYuYzTI7b11Z0/dZqnPt\nehF2q5ylbjPZ0kpTz6N4Ou4iOvousbEPMfQMqWg/Q9F+zLZW3G17cPq3IsnFpMdGtpvPZeXX71/P\nXz57grFwim+9+Alffbj2oUeV0sg2a2SE3epHRYEBGzduZNu2bfzFX/wFsViMc+fO8a1vfYsnnngC\ngE9/+tMcOnQIgJ07d/I3f/M3nDx5Ek3TeP311zl48CB333137T/FIsAwdNKxi4QGXmfwk79k4MT/\nQ+DSCyTDpwuiVJIt2H0baep5hGVb/nc61v8Wvs47sTqX1f3mN9dYbSYeenwb/uZcCav3fnmBY+9f\nrvOoBALB9WCyePAv28eyLf8SX9c9KKZcYm02NUrg4rMMfPz/Ehk+gK6l6jzS2XHLpnb2bsmVjHr3\n42EOnhiq84gEgoVHxcUh/9t/+2987Wtf47bbbsPlcvHFL36RL37xi0Au3jSRSAC5ZXtVVfnqV79K\nLBaju7ubP/mTPynL1l/qaGqSVKGc0zl0LTnlGJO1OVfk3rsWq7OnzHuw1LA7LDz0he0889RhouEU\nb792FrNFYeP22nWYEQgE84+s2PC034q79RbiweNERg6ipsbQslFCA68SHv4lyeV7sHpvBNl17RPW\nkSf3rePM5VwJqadePs2abp8oISUQVIBoSTqPzL4P/Urs3rXYPGsq7kO/FNqpRUJJnnnqMPFYBkmC\nex/ZxJqNbVWfbynYbC4QdqscYbPZYRgGychposMHSMcvFXdIMk7/NjxtezDbW+s3wGtwbiDMn373\nELphsLrLw7958kZM85zlLeZadQi7VU7dW5IKKqNR+tAvJjw+Ow99YTs/+94RUsksrz13ErNFYcVq\nkQUrECwGJEnC4V2Pw7uedPwS0ZGDJEKnwNCJB44QDxzB5lmLp31vbiWpwUKZVnd5efT2Xv7hzfOc\nG4jw3NsX+JVPrar3sASCBYEQpnNAI/ahX2w0tTh56PFtPPv9I2TSGvv/4QQPfn4ry1b46z00gUBQ\nQ6zO5TjXrsBuSXDx9GtEx46AoZGK5FaeLI5leNr3Yveur3vnulIe3L2CE30BTl8K8fzBC2zubWLd\ncl+9hyUQNDxiKb8GzK4PvR2bZ/Wc96FfassQg5fDPP/Do6hZHbNF4eEvbKe9y3PtF5aw1GxWK4Td\nKkfYrDpK7ZZORoiOvkd07AOMkqQok7UJT9senE3bkeTG8LmMh1P80d+9RyKt0uyx8h9/42Yc81RC\nSsy16hB2q5xaL+ULYVollfSht3vWYpmnPvRL8aK61BfgxR8fR9cMrDYTjz5xA81ts0+QWIo2qwXC\nbpUjbFYd09lN19LExg8THXkXLRsuHCubnLhbb8bVsgvFVP+ko/dODvM/f3YCgJs3tvHPHtk8Lytk\nYq5Vh7Bb5YgY0zphGAaZxEBeiJ4lk1iYfegXI8t7m9j3yCZefuYE6ZTKcz88ymNP7sDXNDdeaYFA\nUH9kxYqnbTfu1ptIBD8mMnyAbGoYXY0THvw5keG3cDXfiLvtFkyW+i2h37yxnePnx3n7+BDvnRxh\n66pmbt0qKokIBFdDCNMZ0LU0qci53BJ95Cz6NH3oFYuvUM7J5lrZMEtIS41V61u5+8ENvPb8JyTj\nWZ77QU6cur22eg9NIBDMIZKk4GzaisO/hVT0PJHhA6RjuaYk0dF3iY6+h8O/BU/bHiyOjrqM8Yl7\n13HmUpiRUJKnXjnNmm4v7X7xw1kgmA6hokowDAM1PU4ynOu4lI5dBCa78mWsrp6CGDVZm0XiUoOw\nbksHmYzGL18+QyySzonTL+3A4RRVDgSCxY4kSdg9q7F7VpNJDBIZPkAi9DFgkAgeJxE8js29KpfJ\n7+qd1/u23Wriq49s5k+f+pB0RuOvnv2Yf/el+S8hJRAsBBpamL77pX+KqbUNS3snls78v45OzK1t\nSBW2Nr0ahq6Sil0gGTlLKnwGNTO1D71scmLPt/60eVYhK8IL16hsuXEZ2YzGO784TziY5LkfHOXR\nJ27AZq9fz2qBQDC/WBydtPR+DjV9N5GRd4iPH8YwVFLR86Si5zHbO/C078Xh2zRvmfyrujw8elsv\nP33zPH2DEZ59u4/Pfmr1vLy3QLCQaGhhqkZjqNEYqfPny3coCubWViydXVg6cmJ1QrQqjmsvj6iZ\nSC5WNHyGVGz2fegFC4Mdu3vIZFQOHbhIYDTOC08f4+HHt2OxNvR0FwgENcZk9dO0/AG8nXcQG32f\n6Nj76GqCbHKI8Qs/JWR5HU/bbpxNN8xL/ejP5EtInboU4oUD/Wxe2cT6HlHiTiAopaGz8vu/+z3C\nff2kBwbJjAyDNrke6FQUr3eKYDW3t6NbE6SiZ0mGz5JNDU95nSRbsXlW5WuLrkExN3bbu6shMgpz\nGIbB26+e5fiHVwDo6vHx4Oe3YjJPbekqbFYdwm6VI2xWHbWym65niY8fJTpysGx1TFbsuFpvwt1y\nE4q5dtnF0xGIpPjDv82VkGrKl5ByzkEJKTHXqkPYrXKWbLkoQ1XJjo2RGRwgMzRIZnAw/ziAnpza\nYx6rjNxjR1npQO5xINmmChJF8WL3rcfhX79o+tCLi6qIYRj8/MVTnDo+BMCK1U3c/9ktKJPiuoTN\nqkPYrXKEzaqj1nYzDJ1k6BMiIwfKKqxIkgln8w2423ZX3A66Ej74ZIRvPPMRADdtaON3Hq19CSkx\n16pD2K1ylmy5KMlkwtLRgaWjPKvSMAy0SIT0wBVSo2dJpy6iWkIYbg1JLr/QDVVHv5JC70+g9ycw\nIipx6QjmltZCKEAhLKCzC8W1ML2mghySJHHnA+vIZjTOnxql/1yA158/yT0Pb0KWRWiGQLBUkSQZ\nh38Tdt9G0rF+IiMHSEXOYhgqsbEPiI19iN23AU/bXqzOZTV//10b2rhtWydvHRvk/U9yJaRu2yZK\nSAkEsICE6XQU+9CfIamdRXNHwJ3bJ5ETHrLswJRtgoCCdiFGdmAIfSiBoaq5Aw2D7OgI2dER4seO\nlp1fcblzoQAdHWWC1dzcgiSLbMqFgCzL3PvIRl76ical8wHOnhzFZD7FnQ+sF3HDAsESR5IkbO6V\n2NwrySSHiY4cJB74CNBJhk6SDJ3E6lqBp20vNs+amt4znrh3LWcuhRgOJvneK6dZ2+2lXdReFggW\nzlL+BLPpQ291dmPLl3My29qm3EwMXSc7PkZmcJDs0GAxNGBwEC0WveaYJJMJc3tH0cva2ZV73t6B\nbLXW4FNXj1iGmJ5sVuOFHx1j8FKuQ8y2Xd3svWc1kiQJm1WJsFvlCJtVx3zaTc2EiY6+S2zsEIae\nKWw329pwt+3B6d9Ss7CvvsEI/+W7H6LpBr2dbv7dl3bWrISUmGvVIexWOUsuxjQwHiEevjBvfei1\naJTM0BCZoYEywZodG4VZmMrU1FwiWIuPiscr2tDVmUxa5dnvH2V0KPfjY9etK7jp9l5hsyoRdqsc\nYbPqqIfddDVFdOwDoqPvoauxwnbF7MbduhtXy43IyvU7Il44eIGfvJGrPPPgnhV87o7qS0jpqSTZ\nQBA1GEAPBfG0+pDWbEQXjV9mjbhGK2dJCdNzR79LeOwUhlb/PvR6NkN2ZKQk6WqwkIhlZDLXfL1s\nt+eFaleZYDW3tNasJiuIi+papJJZnvneYYJjCQD23LWaXbeuEDarAjHXKkfYrDrqaTdDV4kHjxMZ\nPoCaHi9slxQr7uaduNtuQTG7qz6/rhv8+Q8O88nFEBLwr764gw0rppaQ0tNp1GCAbCCAGgigBgPF\nv4NB1MD4tInAiseD78678d55NyaPp+pxLhXENVo5S0qYfvjyvyo8b9Q+9Iauo4aCRcFaGhYQDl37\nBIqCpbWtGA7Q0Ym5oxNLR8esarJORlxU1yYeS/PMU4eJhFIA3PWZ9dx+zzphswoRc61yhM2qoxHs\nZhgGychposMHSMcvFXdICs6mbXja9mC2tVR17rHxKF//9ockMjo+C/zeqhiWaE6AZoNB1EAAPTG1\nJXYlSCYT7t178O+7H+uy7us612KmEebaQmNJCdMTb/85FucKrO41C7IPvZZIkBkaKsSxpgcHyA4O\nkhkdmV1NVp+vPCQg/9zkb7pqWIC4qGZHJJTkme8dIR7NeeN/5YkddK/yC5tVgJhrlSNsVh2NZrd0\n7BKRkQMkw6fKttu963KZ/K6ewjY9m0ENhlAD43kvZzDv9RzPPQ8G0GMxPnH28EznnQCsj13gsaE3\nmSn4S7JYMDU1YfY3YfI3YWrKPZqbcs9tLc0oI1fo/8kzxD/6qOy1jk2b8e+7H8fmLSKRdxKNNtcW\nAktKmMLU5KfFQK4m62hZOMCEp3XamqyTkKzWKR2vLJ2dmNvasdit4qKaJcHxBM987zCpRK7zl9dv\np3uln+W9TSxb4ROdoq6BuIFXjrBZdTSq3TKxIcIDvyQZPwWUjCuiYJzKoJ4MoEWvnVA7wYutezjm\nXQvAw8mP2OVO5oRnUxMmvz8vRJsx+f3ITueMeQulNov3XyL46n6iBw8UK9IAls4ufPfeh2fPXmTL\n3He+Wgg06lxrZIQwXcTkarKGC6EApYJVDYxf+wSShKWtDWdPN3JzG6b2jkJMq6jJOj1jwzGe+8ER\nUkm1bLssS7R3eVi+qonlvX5aO9yivNQkxA28coTNqqMedjNUFTUcyi2nT8R0BgJkg8WYTi0SyR3s\nUDBt86Bs8SBZixn7ejCDdiSMdioGWu6rVjKZch7OCaHZlBOaJn8TqtvHn708wEg4jdWs8PWv3FR1\nCanpbKZGIoTf+Dmh119Di0YKx8ouF74778J35z2YfL4qLbY4ENdo5QhhukTR02kyw0M5D2tJAlZ2\neKjsF/DVUNzuSR7WXNtWU3Pzkl/KyWZUhi9HOfnRIJfOB0inptrTZjfRvTInUrt7m3C561sWrBEQ\nN/DKETarjpp3ftK0gujMLa0Xl9knhKgWCc+qEksZNhOWG9uQN9rAVtwsYcVh34S7/RbMvtYZf+Re\nGIrwJ9/JlZBa2eHm3/96dSWkZrKZns0Sfe8dgi/vJ3PlcnGHouC5eTe+ffdh61lR8XsuBsQ1WjlC\nmArKKNZkzQlWdXgIfWyE+KXLs1pCkszmXE3WQgOBvHBtgJqs80XpjSiT0RgdinKpL8ClviDDV8LT\nfjf5Wxz09DaxfFUTnd1eTOaF3862UsQNvHKEzaqjErsZuo4aDhdiOItezpJs9lCoctGpKJh8vmIc\nZ0lspzm/1K64PUiyjGFoJIIniAwfIJsaKZxCki24mnfgbts9YwLvS+/08/QvzgHwmd0r+NU7Ky8h\nNRubGYZB8pOTBF/+R+LHj5Xts2/YiP/e+3Bu276knBfiGq0cIUwFM1J6UaWD4WKVgJKwgFnXZG1u\nLm8gkI9rVTyeRbWsPdONKJ1SudIf5NKFIJfOB4iGU1Ner5hkupZ7Wd7bRHevn6aWmWO/FgviBl45\nwmbVMWG3wHiUdCBUXFovEZvZUtGpV2hbWS6IzqLw9OdjO5sxN/lztagrFGiGYZCKniMyfIB07ELp\nG+Lwb8HTvgeLvX3K63TD4C9+cIST/UEk4Pe/uION05SQmolK51pmcIDgq68QOfh2WQlEc3s7/nvv\nw7P3tiXhrBDXaOUIYSqYkdlcVHo2Q3Z4uFy05h9nVZPV4SgLByiUuWptRVIWnudwtjciwzAIB5Nc\n7gtysS/AwMUQ2czU6gpOl4Xu3vyy/0o/dsfiTCoQN/DKETa7Ooauo0Wj5fU5J2p0hnIF49PjgVlV\nNClDklC83jIv50TmesHr6fXO+b0rnRggOnyAROgkUPzatblX42nfi9W1suwHbTCa5g//9l3iKRW/\n28p//I2bcdnNs36/aueaFosRmohDLSl5KDuceD91B76778Xc1DTr8y00xDVaOUKYCmbkei4qQ9dR\ng8FpvKwDaOHwtU+gKFja26dUDDB3dKLY7VV+ormn6hu4pjN8JcLFvgCX+wKMDsWmPa61w83yVbls\n//YuD0qNWg7WG3EDr5ylajPDMNBi0aLQDIwXC8NPeD1DwVnFy5chSSgeT/ny+uQSSl5vTZuYXC9q\nOkhk5B3i44cxjJIMeXsn7va9OHwbCw1jPjw1yv/3D8cB2LmulX/+K1tmvRpzvXPNUFWi779H8JX9\npC/2F3coCu5dN+Hfdz+2lb0Vn7fRWarX6PUghKlgRubqotIS8Vyr1kmCNTsyMqtlM5PfX2weUJKA\nZfL56r7sXSubJRMZLueX/C9dCJKITfU+my0Ky1b4WN7bxPLeJrz+xhXs10LcwCtnMdrMMAz0eDyf\nQBQsLq1PCM783xWLTkBxezA1NWFpbsbV2Ybm9CB7/Zj8/pwQ9fkbSnRWgqYmiI2+n2t5qhXLBJos\nftxtu3E234Asm/nWS5/w5tEBAL78wAY+tb1rVuev1VwzDIPk6VMEX9lP/OiRsjAw+9p1+Pbdj+uG\nHYsmDnUxXqNzjRCmghmZ74vKUFWyoyPThgXMriarLS9USxOwurC0tc/bF85c2MwwDAKj8UIS1eCl\nEJo29VLz+GwFkbrQaqeKG3jlLDSbGYaBnkhMm0BUjPMMzioEaDKKy53zaObjOc0lReJNedEpm3NL\n1wvNbpWg61ni40eIjBxEy5QsnSt2XK03YfHu5D8/dYKhQAKLWeaPvnwTnc3XFgFzYbPM8DCh114m\n/PZbGOliq3Bzayu+e/bhve12ZNvC/bENi3uuzRVCmApmpFEuKsMw0MKTkq/yzQTUQODaJ5BlzK2t\n5WEB+ZhWxVm7CwDmx2bZrMbgpRCX+oJc6gsQHEtMOWah1U5tlLm2kGg0m2mJxPQxnYEA2WDOA1oq\nQGaL7HReJXN94m8/snn2sdeNZre5wDB0EqGTRIcPkEkOFrZLkomgdCP/fb8VTTdY0eHmP8yihNRc\n2kyLxwm/+Qah119FDRbv57Ldjvf2O/Ddcy/m5uras9abpTDXao0QpoIZWQgXlZ5K5WqyTojWwYFc\n69ZZ12T1lLdp7co9mpqqq8laD5vFIqmCSL18Ibgga6cuhLnWaMynzfRUkmxgIoZzvNgKs8Tzqaem\nVpm4FrLDMSWms7yEkr/m2dtLaa4ZhkE6doHI8AFS0XOF7W/3dfPK6ZUAPHBLD5+/a82M55kPmxmq\nSvTQBwRf3k/6Ql9xhyzjunEX/n33YV898zgbjaU012qFEKaCGVnIF5Wh62THxsgMDZR3vxocQI/H\nr/l6yWIpJl+VVAwwt3fM2G6v3jbTdaOkdmqA4SuRBVE7td52W4jUymZ6Oj3Jy1m6vJ5LLppNKM1k\nZLv9ql2JJoSnbLNd+0Q1ZqnOtUxymMjwQRLBj9ANne9+sIW+gA8Jg999pJ3tGzdfdVVlPm1mGAap\ns2cJvrqf2KEPy+JQbatW47/vflw7di6Iqi1Lda5dD0KYCmZksV5UWjRKZmiQ9OAA2ZIErOzY2LVr\nskpSeU3WkgQsxe3GbFYaymaF2qn5+NRGrZ26WOfaXDKrcm6ZTLH95SQPZza/zK4nrv1DbTKS1Tap\nPmdTMa4z/3ejVs9Y6nNNzYSJjrzDwJWP+MZbW0hmzbitaf63uy/RsXw3Dv9mJKlc9NXLZtnRUYKv\nvULkrTfLPPKm5mZ8d9+L9/Y7UBzVtVmdD5b6XKsGIUwFM7LULio9kyE7Mjwl8Wr2NVmdWLu6cLS3\nkM1qOY0rSYAEEsVHSUIq21a+Xyp7zdRjpGlfJ+WfTjpvfpskSRgGxFSF4YSZobiFkbgZzZgqQO0m\nnXaXSodbo8OtYTVN+hz580pTtpWMuXQ80xwjTdqmKDJOl5V4IoOuG1d/zZTPWPL5p/ncRZtd3S6F\nYwvmLh4z9TMWxyRN/twzvYbSsUw3L6a3y/SfL/doMiu4LBLjfZdJj40Vl9cnltqDAfTY9GXHZkKy\nWKaWSSqr1+lHtjsaOmZ5Jpbafe1q6GqSA4fe5+9ez4X+bGgb4/EbPsFk8eBu242reQeykgujqLfN\ntGSSyC/fJPjay6jj44XtktWG9/bb8d2zD0tr27yP61rU224LESFMBTMiLqochZqs+YSrUsE6q5qs\nDYqOTNjWyrhjGQFHF1HbNAkGhoE7PU5z4gpNiSt4U6PINPRlLpgByWye6uGcWGr355baZefi7jYm\n7mvlfPulk7xxNJcg9dCmM+xaPgyApNhwt+zE3XoLVrunIWxmaBqxw4cIvrKf1LmzxR2ShOuGG/Hf\ndz+2NWsbZv6KuVY5QpgKZkRcVNdGS8TLPKzZ4UGkZAJV1TB0AzBy/01cGoZRDBcwcvtzD+XbyG8z\nJkSgQdn2wnnJn690P0bu/QrbyvcXXlN2XoOMbGXc0s64rYNxWwcZZepSrKJn8CeH80J1AIcarbxP\nuGBOkEymq8Z0TnhAZZerYb6064W4r5WTzmr88bfeZ3A8gdkk8S/uuoxPLkk+khTczdvpWX8PyYyz\nYWyWPH+O0Cv7iX74QVn9a+vKXvz77se9c1fd69KKuVY5QpgKZkRcVJWzWGxWUe3UVU0sX9lEV48X\ni0UpPUlBtBqTBHdhf16YmxQJn9dBKBRHzWqF/cbk15SJ7+I5Jovw8teV7zcmifjiWCfOO3Vb+euu\n9ZoSO5V+/ml+fFzLLlPHXzxOliXcTW7SFgeSx4/ibuySYI3CYrlGa0n/UJT//J0P0HSDnnYXv//Z\ndpLjB0mGT5cdZ/eswtm8E7t3faGjVL3Jjo8Tev1Vwm/+oixJz+Rvwnf3PXg/dWfNywLOFjHXKkcI\nU8GMiIuqcharzQq1U88HuXSh9rVTF6vd5hJhs+oQdpuef3z3Ij/6eW55/NM39/Brd68hmxrNtTwN\nHANDKxyrmN04m3fgar4Rk8VTryGXoaeShN9+i9Crr5AdHSlslywWPLfejv/efVjaO+Z1TGKuVY4Q\npoIZERdV5SwVm9W6dupSsVstETarDmG36dENg//6wyOcuBAE4P/4wg1sXtmU22nEUWMfMXzxIFom\nUvIqCbt3Pa6WndjcqxrCY2/oOvGjhwm+8jLJ06eKOyQJ57bt+Pfdj339hnkZq5hrlSOEqWBGxEVV\nOUvRZrOtndrU6mT5Sv+0tVOXot2uF2Gz6hB2uzrBaJo/+rv3iCWzeF0W/vg3bsbtsBRsFghEiAZO\nExv9oKxgP4DJ2oSreSfO5u0opsYo4ZS6cIHgK/uJfvAeaEWPr3V5Ty4O9eZb5jQOVcy1yhHCVDAj\n4qKqHGGz6mqntnW4aWpyLWm7VYqYa9Uh7DYzh8+M8t9/chyAHWtb+F8/u3Xa+szZdIDY2IfEx4+g\nayUNGCQFp38zrpZdWBzLGsKLmg0GCf/8NUK/+HlZ3V7F68N319347rgLxe2u+fuKuVY5S0qY/rOf\n/VscJgduswu3peRf/m+PxY3b4sJlcWGW65vJ1yiIi6pyhM3KMQyDcDDJ5b4gF/sCXOkPoman2sXp\ntrJ2Qxvt3R66enzY7OY6jHZhIeZadQi7XZvv7j/Fzw9fAeCf3L+ee29aflWbGbpKIvQx0bEPyMQv\nl+0z2ztwt+zC4d+CrFy9Y958oafTRA68TfDVl8kODxW2S2Yznj234rv3PqxdXTV7PzHXKmdJCdNf\n++H/Mutj7SZbiWh148kLVk/JNrfFidvixqZYG+IX4VwgLqrKETabGU3TGb4S4WJfgEvnA4wNT18A\nvq3TTXevn+W9TbR3eVCUxsgAbiTEXKsOYbero+sG8WiasbE433jxJOPxDIoEt7W6sRu5OFRJkpAl\nCUnONZOQZCm/Dez2CC3+fvyeyyhyMe5c001E4isIx1eT1bz51+eaRkhy/nz5bfLEeSf+zh9T3Ebh\n9XJhe/EYeeK8k44pPS8YpM+fI/b+O6QvnEcyDCQMJMPAvnYdvttuw7FuXe611zjvxLbpEHOtcpaU\nMH3q6D8wGgkQTkeJZmKFf1pJpmE1mGUTLvOEx9WZF63Te2OdZgdyg5TYmA3ioqocYbPKSCYyXOoL\ncqU/yOW+ILFoesoxZovCshU+lvc2sby3Ca+/MVtdzjdirlXHUrabYRikUyrRcIpIKEkkVP4Yi6Tz\nndcggcHH+UrKDmAjEjKzrLKhqHR1jbBi+SAed3nL2/GAl/5LnQwNt2AYC+f7cCZKBaskURStslT4\nUT1xjCxPEtKTRL483XlKjpEnC+WS95KlST8WrnLe8h8D5eed7seAPPlHyNXOW3aeys8rSRTCRmr2\n/6aRhSlMjTE1DIOkmiSaiRHJxIhmYyWiNUo0GyeaiRLJxIhlYqS0qV+alSAh4TI7y0MJLC48ZveU\nbW6zC7NS3+XMpXwDrxZhs+owmWR8PgdnT41w4ezYrGunLlvhw2JdmqE3Yq5Vx2K3m6bqRCOlgjP3\nfEKMZtKzd8aMKhIX8klDWzo8bGl1krvaJAw9V79Xzz8aes6jmnueq8Or6zoOW4AWfx9+zxCyXLR3\nJmtheKyboeFuUmkbhm6gG+QfjcL5jSnbamsvQWMhSRJf+/OHane+hSZMKyWjZXOiNVvudc0J26KQ\njWZixLOJYteeKrEptlz4QOGfG7e53Cs7sd+m2GoeUrDYb+BzgbBZdUxnt7munbrQEXOtOha63QzD\nIBnPFL2d4XLxGYvM3oEiyxJurw2Pz4bbZ8fjs+Hx2vDkn5utJv7rj45y/y2bpAAAIABJREFUoi9Q\neI3DaqLNb8//c9Cef97ud+B2mK96/WnZOPHAEaJjH6JlQmX7bJ61uFt2YfOsnlXh/oIgLohj8iLW\nKBO4k4Vz2d/TiGBdBz2TJf7JSWJHD5MNhDAkCQMJFBPWNWtxbNyC4vNNPW+JcDb03PtIElgsZpLJ\nDJqmF99nNuMr+UwTn1XPN+UwZvwxUGqHac5TMr5G5Q//4uGanWvRC9NK0HSNuJooitZJQjbnnS16\nY9XrDCkwyaYpiV2eaYSs2+LCZXbOKqRgod/A64GwWXXMxm61rp260BFzrToWgt2yGY1IuLjEHp3w\nfIZzzysZt91pzgnNEsHpzj93uq3I8sw/5MKxNH/61CFGQskZjwOwWZRywerLi9YmB16nBUmSMAyD\nVOQssbEPSUbOQIkDR7H4cDXfiKt5B4q5Pt2aJjAMg8SJjwi+sp/EiY/K9jk2bca/734cm7cgyVf/\nLm30uVYU80zxUpcL/7ygnUnwThbG05y3VBgXxXz5eSVJ4p4HNtbsMwphWiW5kILU1FCCTIzIlG1x\nUtrU8juVICHhNDsKsa/lMbG5WFmPxY3f7mF5ezvxSKYh7daINPqNqFGp1G61qJ260BFzrToawW4T\nSUaF5fZwifgMJUkmsrM+l8kk4/bZpopPnw2P147Zcv1zXjcMxmJZzvSPMzSeYDiYZCSYe0xnZudU\nsZhl2nxFD2ub306zy8BlnEZOHgatJBZVknH4NuFq2YnV2VP3VZD0lSsEX91P9OABDLX4g9jS0Ylv\n3/149uxFtkytOtAIc22hsaSSn6BxhWmlZLQssWxJCEEmH0KQjU3xzMay8esPKTDZpoYQmEvCC0qE\nrd1U+5CChYS4EVXH9dotncpypT9UUe3Uphbngp6rYq5Vx3zZLZ3KTkkuioRSRMO5f5Uspbo81oLo\nLIjQ/LK7Pe+JnEuuZjPDMIgmsowEkwwHi4I193eSZHrqqsZ0mE0yLW4Jvy2K1xqgyZGiyZGk2ZGi\n2efB07oLZ9M2ZKW+KyBqJEL4jZ8Tev01tGixA5bscuG78y58d96DyecrbBfXaOUIYboE0A2dWDY+\nSbDm4mGnhhhEaxhSkBey04UXVBhSsJAQN6LqqKXdJmqnTojUq9dOtbB8ZVOhLNVCq50q5lp11Mpu\nmqbnE4rKk4smEo4ysxRlABarUhSbPnthqd3js+H22FBM9b1PVmMzwzCIp1SGgwlGAjnhOhJKMhLM\n/YslZ+cVViQdvyNFkyNNe5OLZR3L6epop83voNljRZlhKX2u0LNZou+9Q/Dl/WSulNRuVRQ8N+/G\nt+8+bD0rxDVaBUKYCsowDIOUlipUKUhoCTRTmqHgOOF0MbxgIkY2qdYmpKA0sWtKeIHFhTtftcBS\n5yoFs0HciKpjLu2maTpDl8NcuhBcVLVTxVyrjtnazTAMkolsmcczWpJwVE2S0USiUakI9fhsWG2N\nd2/TDZ2MliWtZdCkLK1NXkiapq2UUQ3xVNHTOiFWR/Ie18gsQxkUWaLFa6PN7yiEB7Tn41ubvTZM\nc3wNG4ZB8pOTBF/ZT/zY0bJ99g0babn/0yy/cy+hcFJco7NECFPBjFzrBp7VstOGD0SzuRCDWKbo\nla1JSIFivUaFguK2eoUUCLFQHfNpt4naqZf6AlzuC5KIZ6YcsxBqp4q5Vh2ldksmslNreoaLHtDp\nPO1Xw+4wlyy15+I7J8TnbJKMqsUwDFRdJa1lSGvp/GPp8+JjprCvZLuaJqNnCs8Lx+pTxaHH4qbH\nvYwez3JWuLvp8XTjsdS+lWcyrZaI1gSDo+MMjQUYi+hE07PrICVLEs1ea0G0thce7bR47Zhr7IXO\nDA4QfPUVIgffxsgU7ym2rk58d+/DtedWZOviTcasFUKYCmakll98uqETzxarFMSuktgVycfKqvrs\nl8GmHbuk4JpFrVi3xY3L7ECRa5MUI8RCddTLboZhEBiNczEvUhdS7VQx165NaZLRxLJ7NJwiEcsQ\nGItP+6PkaigmuUxwlicc2TBbrj0nNF2bVgSmpxOM+cfMVUVmtvC3btTv/7/f6qPH002Pu7sgVp1m\nx5y8l6YmCQwf4eLFjxgNZQgkbAQSdgIJG8GUm3BydvdxCWjy2ApCtbTsVavPjuU6kiS1WIzQRBxq\nuFgWS3Y48X7qDnx334u5qanq8y92hDAVzEg9xUJKSxfE6kRi10RprUjBM5vzxtY0pKAsJrZYoaBU\nyM4UUiDEQnU0it3Kaqf2BQiON27t1EaxWb0pSzKaEJ8liUaVJBk53dZCUpHDa8HuVrC6ZcwuCaxq\nmRicyTuZucr26/3BfT1ISNhMVqyKFYtixqpYsSqWskeLYpmyzapYcFis6GaVjwfP0R++xKXYwIyf\npcXWRI+nmxWe5fS4u1nuXobdZKvZZzEMg3S0j+jYByTDp5goOZXVZMKZZhLKRiJaF2MRPZ+QlSQQ\nSc16zc7vtk4RrG1+B20+O9ZZVjkwVJX4ofcJv/oy8fN9xR2KgnvXTfj33Y9tZW9lH3wJIISpYEYW\nyhdfVleJXaXRwXThBdcbUmBVLIXErskNEHw2N21+P8l4FgwZRZIxySYUSUaWFEyygiIpKPlHU/75\nYksCq5RGnWuNXDu1UW1WazRNJxZJTcpwLy63T/f/5GpIJgPZqaG4dFRrCtWWImNNkrbGSZljpI10\nwRt5vfeJ68EilwhHU+7RIhefF4WjJS8mp4pM6ySRaZJNVf+AmjzXNF1jID7MxeglLkYu0x+9zJXY\n4Iye23ZHKz3u5azIe1e73V1Yldkty8+EmokQHz9MbPwQWjZaskfC7tuAu2UnVlcvqqYzGkoV4liH\nQ8WY1rFwatYdpbwuC+0+O21NjoJ4najXap+0kjLR0e7KO4cY+8eXiB89Qukb2deuw7fvflw37Jix\nHupSQghTwYwsxi++0pCCyRUKCt7YbHFfdp48HBJSXqzKmCQTsiyXCddSMTvxPLdPnrJNntg36TWm\n/Pmn3T/NNpOsIEv5MU0zholtsiRft8dwIcy1RquduhBsVopu6NMsTWdIqSni8TTRcJp4OEMqopKK\namRjoMYljKQMs+zRbkg6GUuSrDVJxpoo+Zcka0ugKdnZnmpWmCRlek+jKe+BlIvPS/fPJCYtirnh\nfqjOZq5ltSwD8SH6I5fpzwvWwfjwVQW+hESnsz3nWXXnvKtdrk7McnVhMoahkwyfJjb2Aano+fLx\nW5txtezE1bQd2TQ1XlzVdMbCqUJt1tJErLFwCm2WXnePw1zmZe1scbJmRRN2k4TVpJAZHib02suE\n334LI11MnjO3tuK7Zx/e225HtjVePPt8IoSpYEYW2hdfrTEMg7SWzoUQZEtCCEpCDEr3JdVrd0ZZ\nrCh5AavkvcMTXuLJ4rdcbBePNysm7DYrWtZAplxsl4p1k2SaVoxPFu1KXrSbpPw4JglwueTc1YqA\nSmunLu9twt/iqNmy/1xdn4ZhkNXVqyTNzLCMrWbIXGV/JqMiJc1Y0g7MaTuWtKPknx1Zn70YUU3p\ngtjMWBNkbSXPLSmQpn4NSUhFD6LJitNiR8GUE44TonCKmJzZA2nJeyGXAtXOtbSW4XJ0gIvRy/RH\nLnMxepmRxOhVxaoiKXS5OnLxqp5uetzL6XK2V5wDkE2NExv/kPj4UXSteF+WJBMO/2ZcLbuwOpfN\n6lyqphOIpAq1WScE60goyWgoiTrLKgUuu7mYfOU04R7qw3r8PTzjV7DpaSRAttvx3n4Hvnvuxdzc\nUtFnXiwIYSqYkaUuTCtF1VWSegKzQyIYipFRVVRdQzPy//LPi9t0NF0tfyzdP3G8oaHruePVwnEq\nml48Xs8fp+nl51UNFV3PPea2a3VdomxEZKlU6MoF4TqTl7i4LSd6ZRTkpBl9xIY6YiY7asLQpgpQ\nkwPcnQreZSb8XRYsDnP5eUvFeEHcl4jxEnFvtZjx+hwMjwWJp5Ozy8DW0qTVDGm9+LxcTOZiKCue\nIwaYMzbMeaFZKjzNaTvm7OzjC3VJQ7Wl0O0ZsGeRHBoml4HZCRa3jM06dZl7pvhIq2LBLBd7uIv7\nWuXU0mZJNcWl6JW8WM15VsdSgaseb5ZNdLu6CglWPe5uOpxts/pBqetZEsGPiY19QCZxpWyfxd6J\nq3UXDv8WZLm6cl26bhCIpMrCAkoFrKrNzlY2I4s/HcafjeLLRvCrMZat6mbVXXtp3bRuQTcCqRQh\nTAUzIm7glbMQbKbnBapaEMylQrcoYNUScTwhlCdEslomtqcX1FcX41P36WggQyabQdWLYjsnxovn\nq2f2cSVIuoQj5scVbsEVbsWe8E45xsAg6QwT+//bu/PgqOv7f+DPz973lUACuRBEIZAEIXIIVgRB\n8MAi1q9Y26LV8tPSaVHwqnQsKuO0OK3V1oqdisw4OujoQFuVQ61aLSqHEIhAgRBykGOzR/bI3p/f\nHwmbrDncz7rJLuT5mHGUz753971PP/vZF+/P5/N+m+3wmlvh17sAWfYeQmURRcIopyqohyakhzKo\ngyKghiAmP/Ks0sugMylhMKtgNGtgtuhgtRmQYzPAYBjcqd7Oh+9othnszHxhf8Ko6pn2ejiDrn7b\nq+QqFBkKUGLqngkgV5szYLEa8p+Fx74PfmcVxB5TYQlyNfS2Chhzp0GpGZG2zxTrWhXLH4nhRK0T\nTW2+hHlbQ0nmqBYjGGFSYdToHIy0JU59ZR6CVb+GGgtTGhAP4NIxs9Qkm1tMjCHWVawONEp8bjS5\nr8K6u5jubHduVDkq9l+MJxbt3yje+yzGe45uR4GgDFqXrbNQbc/tcwQxKgvDZ2qD12yHx9yKsCZ9\nl4YMNJoYPzUtqCEPqCB0KCH6FYj6BIR9AkKeWOc1n8Hk92elSp44kby5eylNo1kNhWJwrrtNBr+j\n0mUis/aQJ35j1Zmu61Y9ob4XxwAArUKDoh5TVpUYC2HTWHsVbrFoAD7HIXjt+xAOtCY8pjaUwJBb\nCZ15AoQ0TCE40FKuLm8oPsLa4uoaZXX40ez0I5jk/LlqpTy+sEC8YO26EctiVEN2HhatLExpQDyA\nS8fMUjMcchNFsauojqC1xYv6Gicaa91obfAi1sd1alqTAtZCFSwFShjz5RAVYkIRLAoidDoVYiEB\nSih7n87uumZSKVNAJsgSVjLquZTmuemVvJ5g0ncmCwJ6rGSk7bWakVqT+h3gg2047Gvplg2ZiaII\nV9Dda2TVF+k9pds5BqW+8/T/uXlWTYWwqM3x1wv6zsDbuhd+99dAj7MxMoUehpzLYMidBoWq99mO\nZKW6lGu7P4ymJidqvziI+qM1aIso4FQa4VSaEExyJgOVQoYRVi1GWrpHWM/9YzNpsrZoZWFKA8qG\ng9H5hpmlZjjnlvTcqQWmrpuoOudOVSrlvTILh6PxlYw8PaZVOreakZSVjDRaZVehqYGxx8inyaKB\nwaSG7Dyd3mY472upytbMRFFEW8DZea1qV6F6xtOAQLT/ua3NKmPXiGpRvGDVCYC37St42/YhGnL3\naC1Aax4PQ24lNMZxkv+ylY7cxGgU3gP74dy1Ax0nT6BDpu4sUlUm+IougTdvDOwROVqcHfAlOXWa\nQi7DCIumV8GaZ9XBZlJDnsHvdsYL04aGBqxfvx5fffUV9Ho9rrvuOqxZs6bPtq+99hpeeeUVtLS0\noKSkBKtWrcL8+fMldTDbvlTZLlsPRtmMmaWGuXVLdu7UootsyB9tRktTO9zOzuLT75WwkpFc6FFw\ndo94GruKz2xY3WowcF+T7nzKLCbG0Oq3d14C0DW6Wu9p6HOJ1XOsagtKTEUoMRRgjFIGY0cdwt6a\nhDYKlRWG3KnQ26ZArkyucEp3bh2nTsK1awc8+/YCse7XU4+5CNYFCyGUToHdG45fx9rs6ECLq/O/\nPf7+P39PcpmAXEvXiliW7sUF8mxa5Jg0UMgHt2jNeGF68803o6ysDA8++CDa2tpwzz33YPny5Vix\nYkVCu507d+Kxxx7Dpk2bUFZWhrfffhu//e1v8e6776KwsDDp9zsfvlTZ5Hw6GGULZpYa5ta3+Nyp\npxyoO93/3Kn90RtUfRefFi30hgvvxolkcF+T7nzPLBqLotnf2nW9al3nggCeRkTEaL/PuUhnw+Va\nHYpEHxRij6JOkENnKYUxdxpU+qIBv0ODlVu4rQ2uD3bD/fG/EevovhZdYbXCMu8amL83F3J9YnHn\nD0TQ6uq++ercv1ucHXAnuTSvTBCQa9b0GGXVdU+BZdZCqfjuRWtGC9OqqiosX74ce/bsgcFgAAC8\n/vrr2LJlC955552Ettu3b4ff78dtt90W3zZz5kysW7cO119/fdIdPF+/VJlyvh+MMoGZpYa5Jafn\n3KnnRlMNJk18vXZjj2s9jSbNoE3ufz7jvibdhZhZJBZBo6+p6/R/52UADb6mXjN/yAFcolTgMrUS\nRd/4Pik0I2DMvRx6Wxlk8t4rvg12brFAB9yf/geu3bsQbm2JbxdUKphmz4F1/kKo8vO/9XUCoUj3\nogKuDjQ7um/KcnqC3/p8oPO68xyTJmH51jxr5wpZIy0aKJO84THdhamk8z7V1dUoKCiIF6UAUFpa\nipqaGvh8Puh7VPtLlixJeG57ezt8Ph/y8vK+Y5eJiM4fao0SYy8dgbGXjrggiwWioaKQKeLzop4T\niobR4D3bPceqpx5NvhZ8HY7g63AEuTIZpqgVmKxWQi0IiARa4ax/B63176FDOxqGnGkoyJk0ZAsv\nyDRaWOcvgOXq+fAdPADnrp3oOH4MYigE94cfwP3vD6Evr4B1wbXQXjqh39FdjUqB4jwjivOMvR4L\nhqNodXWvhtU90uqHoz0Yn/FYFAG7OwC7O4Dq086E1xAAWE3qrksDupdyzbNqMcKqhXoQ/wIt6f+E\ny+WCyWRK2GaxWOKP6fX9V8yPPfYYpkyZgsrKSkkdlA/ytREXmnN5MbfkMbPUMDfpmFlqmJt0wyUz\nhUKN8eoxGJ8zJr4tEAmi3tOI0+11qHXXoaq9Hh+5WlGq6hxFzVPIoUAMxo56oL4eX55+C2dkRgiG\ni3CRdQwmCRfDJFigSMNp7v7JYLn8clguvxwdp2vg2LED7i8+B6JR+A5+Bd/Br6ApLobt2kUwz5gJ\nQZF8uaZQyKDXKjFmlKnXY6FIFK2uAFocfjQ5/D2mvOqA3d0Rv+xIBOBoD8LRHsTRM73np7Ua1fGb\nr/JzdPjR9ZNSDaIXSafyX3zxRezevRtvvPFGfFttbS0WLVqE999/H6NHj+71nEgkgoceegjHjh3D\nli1bYLPZ0tNzIiIioiT4Qn7UOM/gZFstWtuOwehtwBhZFIoeI5L+mIhDoTC+CobRISgwxlKEcbYS\njLOVYKytGKONeSkvh5yMYFsbmt55D03v7UTE2z3/q9JqwajrFiN/0UIoTb2LzXQJR2Jocfpx1u5D\nY6u3899tPpy1+9Ds8CMW679c/MczN6WtH5JGTG02G5zOxOFet9sNQRBgtVp7tQ8Gg7j33nsRDAbx\n6quvwmyWPrdYe3sHokkuEUadfzs2mbTMTQJmlhrmJh0zSw1zk46Z9VagKkLBqCJg1BwAQLvfjrNn\n/wPRdRSqWAA6mYCZGhVmqJWoiURxoL0W77Wdip/6VsvVKDEVdM4GYCrEGHMRcrU56bshUaaB6Ybv\nw7BgMVyf/geOnTsQampC2OnCmVdfQ93WN2GePQc5CxdCPbogPe/5DTqFgHH5BozLNyRsj0RjaHMH\n0OzsvJ612envnEGg6zKBdJJUmE6ePBmNjY1wuVzxU/iHDh3CuHHjoNVqe7VfvXo1VCoVXnzxRSiV\nqa1rG43GeC1WCpibdMwsNcxNOmaWGuYmHTPrn05lw7iSJRCLb0TAcwpe+150uI9DEICxSgXGKhXw\nxEQcCIZwKBiBLxrEcecpHHeeir+GVqFNWLmq2FQIq9ry3YpVuRKm710N45yr4Ks61Dkf6tGvIYbD\ncP37Q7j+/SF0k8thXbAQutJJQzZTR45JgxyTBqUliQORMll6319SYTpx4kSUl5fjmWeewUMPPYTm\n5mZs3rwZP/3pTwEAixYtwoYNGzB16lRs374dJ06cwD/+8Y+Ui1IiIiKiwSQIArSmcdCaxgExD8Ke\nKrTU7UE07IVRJuB7WjWu1GrgUlhQHRGwz9OKjkjnKGFHpANHnf/DUef/4q9nVBoSVq4qNhbCrJZ+\nCl6QyWComAJDxRQE687AuWsnPF/sgRiJwH/4EPyHD0FVUAjrgoUwzpgJmTK5FabSLd2FqeR5TJub\nm7Fu3Tp88cUXMBgMWL58OX7+858D6Cxc//a3v2H27NlYsWIF9u7dC7m8884tURQhCAJuuukmrF+/\nPun3492r0vCuX+mYWWqYm3TMLDXMTTpmlppzuTna2uFxHIWndS+C35y4X50DwTwRjTIjar3NnVNX\neeoRjPY/t6hFbY7PKHCuWDWopE+xFHG74Oq6ez/q9cS3y40mWK6eB/PceVAM4nWofcn4BPtDjV8q\naXgwko6ZpYa5ScfMUsPcpGNmqekrt3DADq99H7yOgxB7LJ0qCArobGUw5k6DQpuPFn8ras/Nseqp\nR52nEeEBVq/K0VhRbCrqvATAWIhiUwG0it6XRfYlFgqhfc9ncO3eiVBjY3efFAoYZ86CdcG1UBck\nv5jRd8HClAbEg5F0zCw1zE06ZpYa5iYdM0vNQLnFYmH4nUfgte9FyN+Y8JhKNxqG3ErorJMgk3Ve\nvhiNRdHkb0Ftez1qPXWdCwJ4zyI6wOpVI3W5naOqxkIUm4pQZCyAWt7/KXpRFOE/chjOXTvgP3I4\n4TFd6SRYF1wL3aTJEGSDN5sAC1MaEA9G0jGz1DA36ZhZapibdMwsNcnmFvI3wmPfB7+jCqIYiW8X\n5BoYbBUw5E6DUpPb63nhWARnvU3xQrXWU4+zvuZeq1fFXw8C8vUjuy4BKEKxsRCFhlFQynvfuxNs\naIBz9w54/vsZxEh3n1T5o2BZcC1Ms66ATJX+61BZmNKAeDCSjpmlhrlJx8xSw9ykY2apkZpbLBKA\nz3EQHvs+RIL2hMfUhjEw5lZCa7kUgtD/SkmhaAj13rPxpVZr2+vQ7G+FiL7LM5kgw2h9fvxa1WJT\nIUbr8+OrV0Xa2+H+6EO4PngfUU979/MMBliuuhqWq+dD0TWzUjqwMKUB8WAkHTNLDXOTjpmlhrlJ\nx8xSk2puoigi6K2F174XftdRAN3PlSsM0OdeBkPONChUyd2YFIgEUOdpjI+snvHUo7Wjrf9+yxQo\nMIyKX69aYirCSKUFvr1fwrlzB0IN9d2N5XKYps+EZcFCaIpLkv6M/b43C1MaCA9G0jGz1DA36ZhZ\napibdMwsNenILRr2wtu2H177fkTD7T0eEaA1XwJDbiU0xrGS5x/1h/0442mIXwJQ214HZ7D3cqHn\nqGRKFBoLUGIswNhWwPL514hUH01oo710AqwLroW+vCLl61BZmNKAeDCSjpmlhrlJx8xSw9ykY2ap\nSWduohhDR/v/4G3di4DnZOL7qKww5E6DPmcK5Apdyu/hCXk7ZwHousGqtr0e7SFPv+3zvXLMOhlD\n4TE7ZJHum7CUeXmwzl8A0+wrIVOrJfWBhSkNiAcj6ZhZapibdMwsNcxNOmaWmsHKLRJ0wmPfB5/j\nK8Qi/u4HBDl0lkkwjpgGla4wLas4uYLu7mmrugpWX9if0EYTjKHsRAfKj3fA0NH9OUWtBro5s5F3\nzXVQ5eQk9X4sTGlAPBhJx8xSw9ykY2apYW7SMbPUDHZuYiwCv+treO17EfTVJTym1ObBkFsJvbUM\nsgGmiJL8nqIIR8CJ2q5C9dw8qx2RAGRREePPBDH1qB8jnd138scEoGX8SIRmT0X+pRUoNhXCpDL2\n+fosTGlAPBhJx8xSw9ykY2apYW7SMbPUDGVuoY5meO174XNUQYx1rxolyFTQ28phyK2ESjtyUN47\nJsZg72jrvl7VXYfIqRqUVbsxtj6EnuO2DSOUODBBB+fYkSiyFPWYZ7UQeqWOhSkNjAcj6ZhZapib\ndMwsNcxNOmaWmkzkFosG4XNUwWvfi3CgJeExtb6oc+J+y0QIXdNBDVo/xBiafC2oP30Y4Y8/hfVQ\nLRQ9MnAZZDh4iQ5HxmkQVnbeKJWrsaHEXISH5v6/tPVjcD8lEREREfVLJlfDOKIShtxpCPnqOifu\nd1UDYhRBXx2Cvjo4G3bAkNM15ZQ6fXOQJvRDkGG0IR+jJ+cDk69B1OeD8+N/w/n+ToguNyzeGK7a\n78XMKh8Oj9Pg4KU62OGAPeBIaz9YmBIRERFlmCAIUBuKoTYUIxpeCJ/jK3js+xANuRCL+NHe/Cna\nmz+FxnQxjLmV0JguhiAM3lKjcr0euYuvR86Ca+HZvxfOnTsQPF0DdVjEtKMdmHosAMf4PBycaEjr\n+7IwJSIiIsoicqUeprzZMI68AgHPSXjte9Hh/h8AEYH2Ewi0n4BcZYYhZyoMOZdBrkxvcdiToFDA\nNH0mjJfPQODECTh374B3/z4Iooic402YdxzAXel7PxamRERERFlIEARoTRdDa7oYkZAbXvs+eNsO\nIBbxIRpyw332Q7ibPoLOPBGG3GlQG0rSMuVUv30ZPx7a8eMRbm2F84PdaP/kI8QCgbS+DwtTIiIi\noiynUJlhGT0P5vyr4Hcf7ZxyylsLiDH4XUfgdx2BUjOic+J+Wzlkcs2g9UU5YgRG/t9y5Cz5Pnxf\n7knra7MwJSIiIjpPCDI59NZJ0FsnIRxo7Zq4/yDEaBDhQCuc9e/B1fg+dNYyGHOnQaUbNWh9kWu1\nsM2bn9bXZGFKREREdB5SakbAVrgIllHz4Hcdgbd1L0IdZyHGwvC17YevbT9UuoLOKaespZDJlJnu\n8rdiYUpERER0HpPJVV3TSV2GoK8BXvs++J2HIYoRhPwNcJxpgKthJ/S2Chhyp0GpSW650UxgYUpE\nRER0gVDrC6DWF8BasABex0F47fsQCbYhFu2Ap3UPPK17oDFeBEOw6cq8AAAOo0lEQVRuJbTmSwd1\nyqlUsDAlIiIiusDIFFqYRs6EccQMBL018Nj3ocN1FICIgKcGAU8N5EojDDlToc+5DAqVKdNdBsDC\nlIiIiOiCJQgCNMax0BjHIhL2wGffD2/bfkTDHkTDHribPoK76WNozZfCmFsJtfGiQZtyKhksTImI\niIiGAYXSCPOoq2DKvxId7uPw2vci4DkFQESH+yg63EehUNu6ppyaArlCO/R9HPJ3JCIiIqKMEQQZ\ndJYJ0FkmIBx0wGvfB1/bV4hFOxAJOuBq2AV344fQWSfBkDsNKl3BkI2isjAlIiIiGqaUahusBQtg\nHjUXfmc1vPa9CPkbIIoR+BwH4XMchFKbD2NuJXTWyZDJVYPaHxamRERERMOcTKaEIacChpwKhPxN\n8Nr3wuesghgLI9zRBEfdP+Fs2AW9rRzG3EootSMGpR8sTImIiIgoTqXLh634BlgKroHPUQWvfS/C\ngVaIsSC89i/htX8JtaEYhtxKmHJK0/reLEyJiIiIqBeZXAPjiMthyK1E0Hemc+J+VzUgxhD0nkHQ\newau+h2wzXs8be/JwpSIiIiI+iUIAjSGEmgMJYiGF8Lb9hW8bfsQDbkRjfjS+l4sTImIiIgoKXKl\nAeb8OTDlXYFA+wn4nAfT+vosTImIiIhIEkGQQWu+BMacCWl93exaIJWIiIiIhi0WpkRERESUFViY\nEhEREVFWYGFKRERERFmBhSkRERERZQUWpkRERESUFViYEhEREVFWYGFKRERERFmBhSkRERERZQUW\npkRERESUFViYEhEREVFWYGFKRERERFmBhSkRERERZQUWpkRERESUFViYEhEREVFWYGFKRERERFmB\nhSkRERERZQUWpkRERESUFViYEhEREVFWYGFKRERERFmBhSkRERERZQUWpkRERESUFViYEhEREVFW\nYGFKRERERFmBhSkRERERZQUWpkRERESUFViYEhEREVFWYGFKRERERFmBhSkRERERZQUWpkRERESU\nFSQXpg0NDVi5ciVmzJiBefPmYePGjf229fv9WLNmDSZMmICamprv1FEiIiIiurBJLkx/8YtfID8/\nHx988AE2b96MXbt2YfPmzb3atbS04Oabb4ZSqYQgCOnoKxERERFdwCQVplVVVTh+/DjWrl0LvV6P\n4uJi3Hnnndi6dWuvtg6HAw899BBWrVoFURTT1mEiIiIiujBJKkyrq6tRUFAAg8EQ31ZaWoqamhr4\nfL6EthMmTMDVV1+dnl4SERER0QVPIaWxy+WCyWRK2GaxWOKP6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       "text": [
        "<matplotlib.figure.Figure at 0x2b45d979a2d0>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    }
   ],
   "metadata": {}
  }
 ]
}